WO2021113453A1 - Operational condition monitoring system - Google Patents
Operational condition monitoring system Download PDFInfo
- Publication number
- WO2021113453A1 WO2021113453A1 PCT/US2020/063026 US2020063026W WO2021113453A1 WO 2021113453 A1 WO2021113453 A1 WO 2021113453A1 US 2020063026 W US2020063026 W US 2020063026W WO 2021113453 A1 WO2021113453 A1 WO 2021113453A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- condition monitoring
- monitoring device
- signaling
- machinery
- condition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D11/00—Component parts of measuring arrangements not specially adapted for a specific variable
- G01D11/30—Supports specially adapted for an instrument; Supports specially adapted for a set of instruments
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
- G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G01K11/12—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in colour, translucency or reflectance
- G01K11/125—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in colour, translucency or reflectance using changes in reflectance
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/04—Thermometers specially adapted for specific purposes for measuring temperature of moving solid bodies
- G01K13/08—Thermometers specially adapted for specific purposes for measuring temperature of moving solid bodies in rotary movement
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K11/00—Structural association of dynamo-electric machines with electric components or with devices for shielding, monitoring or protection
- H02K11/20—Structural association of dynamo-electric machines with electric components or with devices for shielding, monitoring or protection for measuring, monitoring, testing, protecting or switching
- H02K11/25—Devices for sensing temperature, or actuated thereby
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K11/00—Structural association of dynamo-electric machines with electric components or with devices for shielding, monitoring or protection
- H02K11/30—Structural association with control circuits or drive circuits
- H02K11/35—Devices for recording or transmitting machine parameters, e.g. memory chips or radio transmitters for diagnosis
Definitions
- the present invention relates to a condition monitoring device; and more particularly relates to a condition monitoring device for machinery or equipment.
- the aforementioned provisional application includes a list of companies that provide one or more of the known devices.
- shortcomings of the known devices include one or more of the following:
- Some known devices have parts that require drilling and tapping of the rotational equipment for mounting of the measurement device.
- Some known devices are not able to measure rotation direction.
- Some known devices only measure 1 or 2 axis vibration.
- Known devices have wireless communication methods. In some known devices, communication is to a dedicated hub, and cannot be networked directly from one measurement device to another.
- the present invention provides a new and unique condition monitoring device that may include a combination of the following:
- Non-contact sensing e.g., infrared (IR)
- IR infrared
- a magnetic flux sensor with Fast Fourier Transform (FFT) analysis into the sensing package allowing determination of many aspect of the motor/system condition, including but not limited to, the rotating direction, rotating speed, motor load, and motor health.
- FFT Fast Fourier Transform
- a 3-axis vibration measurement with FFT analysis allows for indications of potential bearing problems that could not be detected with 1 or 2 axis sensors.
- wireless communication e.g., Bluetooth
- an LED configuration on the measurement device to indicate one or more functional states.
- UUID A Unique User ID (UUID) from a combination of a visible Quick Response (QR) label arranged or printed on the measurement device and a hidden wireless communication (e.g., Bluetooth) chip identifier. This allows an operator who reviews the data to match the data to the visible QR code number, but also maintains security by having half the UUID hidden.
- QR visible Quick Response
- Bluetooth hidden wireless communication
- Data collected through this condition monitoring system may be utilized in a machine learning system (i.e. digital twin) for predictive analysis purposes.
- a machine learning system i.e. digital twin
- the present invention may take the form of a condition monitoring device for monitoring machinery or equipment, featuring a combination of on-board sensors and a condition monitoring module.
- the combination of on-board sensors may include: a non-contacting temperature sensing module configured to receive control signaling and provide a non-contacting temperature sensing signal containing information about a temperature of the machinery or equipment without direct surface contact between the non-contacting temperature sensing module and the machinery or equipment; a magnet flux sensing module configured to receive the control signaling and provide a magnet flux sensing signal containing information about magnet flux sensed from the machinery or equipment; and a 3-axis vibration measurement module configured to receive the control signaling and provide a 3-axis vibration measurement sensing signal containing information about a 3-axis vibration measurement of the machinery or equipment.
- the condition monitoring module may be configured to provide the control signaling to the combination of on-board sensors, receive a baseline operating condition signal containing information about a baseline operating condition of the machinery or equipment, receive the non-contacting temperature sensing signal, the magnet flux sensing signal, and the 3-axis vibration measurement sensing signal from the combination of on-board sensors, and provide a condition monitoring signal containing information about an operating condition of the machinery or equipment, based upon a data synthesis condition monitoring technique that synthesizes non-contact temperature sensing, magnetic flux and 3-axis vibration data received from the combination of on-board sensors, determines a current operating condition of the machinery or equipment, and compares the current operating condition and the baseline operating condition of the machinery or equipment to determine the operating condition.
- the condition monitoring device may also include one or more of the following features:
- the non-contacting temperature sensing module may be configured to provide infrared (IR) signaling to the machinery or equipment and receive reflected IR signaling from the machinery or equipment containing information about the temperature of the machinery or equipment.
- IR infrared
- the condition monitoring device may include a cover assembly configured to contain the combination of on-board sensors and condition monitoring module, the cover assembly having a bottom cover with an infrared sensor window configured therein; and the non-contacting temperature sensing module may be configured to provide the IR signaling through the infrared sensor window and receive the reflected IR signaling back through the infrared sensor window.
- the magnet flux sensing module may be configured to implement a Fast Fourier Transform (FFT) analysis and determine a rotation direction, rotating speed, motor load and motor health of the machinery or equipment.
- FFT Fast Fourier Transform
- the 3-axis vibration measurement module may be configured to sense a 3- axis vibration of a motor shaft of the machinery or equipment and implement a 3-axis vibration analysis and detect potential bearing problems of the machinery or equipment that could otherwise not be detected using 1-axis or 2-axis vibration analysis.
- the 3-axis vibration analysis may include using an X-axis aligned to sense axial vibration of the motor shaft, a Y-axis aligned to sense horizontal vibration of the motor shaft and a Z-axis aligned to sense radial vibration of the motor shaft.
- the condition monitoring module may be configured to implement a baseline operating condition technique in order to provide the control signaling to the combination of on-board sensors, determine the baseline operating condition signal containing information about the baseline operating condition of the machinery or equipment, and store the baseline operating condition signal, e.g., which gets implemented during an initialization of the condition monitoring device.
- the control signaling may include a non-contacting IR temperature sensing control signal, a magnet flux sensing control signal and a 3-axis vibration measurement control signal for providing to the combination of on-board sensors.
- the condition monitoring device may include a wireless communication module configured to exchange wireless communication signaling with another wireless communication enabled device, e.g., such as a smart phone, a laptop, a personal computer, a remote server, etc.
- a wireless communication enabled device e.g., such as a smart phone, a laptop, a personal computer, a remote server, etc.
- the wireless communication signaling may include the condition monitoring signal determined and provided by the condition monitoring device.
- the wireless communication signaling may include, e.g., Bluetooth, Near Field or WiFi communication signaling.
- the condition monitoring device may include an initial configuration module configured to respond to initial configuration signaling and turn ON the condition monitoring module.
- the initial configuration signaling may be magnetic signaling, e.g., caused by a user placing a magnet in relation to some part of the condition monitoring device.
- the condition monitoring device include a chip electronic ID module configured to receive the control signaling and provide chip electronic ID signaling containing information about a chip electronic ID (CHIPJD) of the condition monitoring device.
- a chip electronic ID module configured to receive the control signaling and provide chip electronic ID signaling containing information about a chip electronic ID (CHIPJD) of the condition monitoring device.
- CHIPJD chip electronic ID
- the cover assembly may include a top cover having a QR code printed thereon containing information about the condition monitoring device.
- the QR code may contain an ID QR that is unique to the condition monitoring device.
- the condition monitoring device may include a printed circuit board assembly having the combination of on-board sensors, the condition monitoring module, as well as other modules all configured thereon.
- the top cover may include an X, Y, Z orientation indicator that is molded or affixed as a label.
- the X, Y, Z orientation indicator may be configured with an X-axis indicator, a Y-axis indicator and a Z-axis indicator to orient the condition monitoring device so that the 3-axis vibration measurement module senses a 3-axis vibration of a motor shaft of the machinery with an X-axis alignment to sense axial vibration of the motor shaft, a Y-axis alignment to sense horizontal vibration of the motor shaft and a Z-axis alignment to sense radial vibration of the motor shaft.
- the present invention may include, or take the form of, a condition monitoring system for monitoring machinery or equipment, e.g., having a condition monitoring device as described herein in combination with a wireless communication enabled device.
- the condition monitoring device may include: a wireless communication pairing module configured to provide wireless communication pairing signaling containing information for pairing the condition monitoring device, and a cover assembly having a QR code arranged thereon to be scanned in order to receive QR code signaling containing information for pairing the condition monitoring device.
- the wireless communication enabled device may include: a QR scanning app configured to scan the QR code, and receive QR code signaling (e.g., from the Internet, from cellular data, etc.), and a pairing app configured to receive the wireless communication pairing signaling generated by the condition monitoring device and the QR code signaling, and pair the wireless communication enabled device with the condition monitoring device based upon the signaling received.
- QR scanning app configured to scan the QR code
- QR code signaling e.g., from the Internet, from cellular data, etc.
- a pairing app configured to receive the wireless communication pairing signaling generated by the condition monitoring device and the QR code signaling, and pair the wireless communication enabled device with the condition monitoring device based upon the signaling received.
- the wireless communication pairing signaling may include an advertisement packet having a unique wireless communication chip electronic identification for identifying the condition monitoring device; and the QR code signaling may contain an ID QR for providing back to the condition monitoring device after pairing.
- the pairing app may be configured to provide unique user identification (UUID) signaling containing a combination of the QR code signaling and the wireless communication pairing signaling received.
- UUID unique user identification
- the wireless communication pairing module may be configured to receive the UUID signaling, and determine an updated UUID signaling containing the ID QR. Additional Sensors
- condition monitoring system for monitoring machinery or equipment may include a condition monitoring device as disclosed herein, as well as a further combination of one or more sensors, including: a pressure sensor configured to sense a pressure of a fluid being processed by the machinery or equipment and provide pressure sensor signaling containing information about the pressure sensed, a flow rate sensor configured to sense a flow rate of the fluid being processed by the machinery or equipment and provide flow rate sensor signaling containing information about the flow rate sensed, a fluid quality sensor configured to sense a quality of the fluid being processed by the machinery or equipment and provide fluid quality sensor signaling containing information about the fluid quality sensed, a motor operating condition sensor configured to sense a condition of a motor operating the machinery or equipment and provide motor operating condition sensor signaling containing information about the condition sensed of the motor, a motor load condition sensor configured to sense a load condition of a motor operating the machinery or equipment and provide motor load condition sensor signaling containing information about the load condition sensed of the motor, a power consumption or efficiency sensor configured to sense a power consumption or efficiency of the machinery
- condition monitoring system may monitor the machinery or equipment, e.g., using data received in the associated signaling from these additional sensors together with the data from the combination of on-board sensors on the condition monitoring device.
- condition monitoring device may also be suitably configured on-board with one or more of these additional sensors.
- Figure 1 A is a diagram of a condition monitoring system having a condition monitoring device coupled via Bluetooth to a wireless communication enable device, such as a smart phone or tablet, for providing a condition monitoring signal containing information about an operating condition of machinery or equipment, according to some embodiments of the present invention.
- Figure 1 B is a diagram of a condition monitoring system having a condition monitoring device coupled via Bluetooth to a wireless communication enable device, such as a smart phone or tablet, and also coupled to at least one other communication device receiving sensed signaling from at least one additional sensor, such as a pressure sensor, for providing a condition monitoring signal containing information about an operating condition of machinery or equipment, according to some embodiments of the present invention.
- Figure 1C is a diagram of a condition monitoring system having a condition monitoring device coupled to a network having other devices and components, e.g., including machinery, such as pumps, a wireless communication enable device, such as a smart phone or tablet, and other remote wireless communication enable device, according to some embodiments of the present invention.
- Figure 2A is a picture of a condition monitoring device having a Quick Response Code attached or printed thereon, according to some embodiments of the present invention.
- Figure 2B is an exploded view of a condition monitoring device having an LED tube, a top cover, a bottom cover, a battery strap, a replaceable battery pack, a battery holder, a printed circuit Board Assembly (PCBA), a lens, and numerous screws, according to some embodiments of the present invention.
- PCBA printed circuit Board Assembly
- Figure 2C is a list of parts/component in the condition monitoring device shown in Figure 2B, according to some embodiments of the present invention.
- Figure 3 is a block diagram of a condition monitoring device, according to some embodiments of the present invention.
- Figure 4 is a block diagram of a condition monitoring system, according to some embodiments of the present invention.
- Figure 5A is a diagram of a mounting configuration, according to some embodiments of the present invention.
- Figures 5B, 5C and 5D are diagrams of different mounting feet having different diameters (e.g., including 200 mm, 350 mm or 500 mm) that may form part of the mounting configuration in Figure 5A, according to some embodiments of the present invention.
- Figure 6 is a flowchart of a process to create a system UUID that includes an electronic ID, a visible ID, user action and app activity, according to some embodiments of the present invention.
- xTag is understood to refer to the condition monitoring device, which is also known and branded as the "Optimyze” device, e.g., as shown in Figure 2A.
- Figure 7A is a chart showing examples of sensor deviation from baseline operating conditions, which includes examples of closed valve scenarios, observations for a single sensor configuration, a dual sensor configuration and a three sensor configuration of the condition monitoring device (xTag) shown in Figure 1A and the condition monitoring systems in Figures 1 B and 1C, flux sensing, IR temperature sensing, vibration sensing, pressure sensing, flow rate sensing, power sensing, along with potential issues for the single sensor configuration, the dual sensor configuration and the three sensor configuration of the condition monitoring device (xTag) shown in Figure 1 A and the condition monitoring systems in Figures 1 B and 1C having a different diagnosis when the data synthesis technique is implemented, according to some embodiments of the present invention.
- Figure 7B is a chart showing examples of sensor deviation from baseline operating conditions, which includes examples of bearing failure scenarios, observations for a single sensor configuration, a dual sensor configuration and a three sensor configuration of the condition monitoring device (xTag) shown in Figure 1A and the condition monitoring systems in Figures 1 B and 1C, flux sensing, IR temperature sensing, vibration sensing, pressure sensing, flow rate sensing, power sensing, along with potential issues for the single sensor configuration, the dual sensor configuration and the three sensor configuration of the condition monitoring device (xTag) shown in Figure 1 A and the condition monitoring systems in Figures 1 B and 1C when the data synthesis technique is implemented, according to some embodiments of the present invention.
- Figures 1 A, 1 B and 1 C show condition monitoring systems 20, 40, 60 that use a condition monitoring device 100, 100' (aka “xTag") for measuring or sensing 3-axis vibration, temperature and magnetic flux of a rotating or static machinery or equipment (see Figure 1C).
- Embodiments include adding inputs from other sensors or instruments, including but not limited to, pressure sensors, water quality sensors, etc., which may include 3 rd party sensors, e.g., as shown in Figure 1 B.
- a wireless communication device like element 115 may be configured to receive pressure sensor signaling from a pressure sensor and condition monitoring signaling from the condition monitoring device 100, and provide wireless communication signaling containing information about the pressure sensor signaling and the condition monitoring signaling received, as shown in Figure 1 B.
- the wireless communication device 115 may be controlled by a controller like element 115a.
- Measured or sensed data may be processed in the condition monitoring device 100. 100' and compared against, e.g., industry and/or user defined limits for acceptable operating levels of the rotating machinery, as well as compared against a baseline operating condition determined during some initialization of the condition monitoring device in relation to the rotating machinery, or some combination of the aforementioned.
- the condition monitoring device 100, 100' can store processed and raw data until transmission to a remote receiving device, e.g., which may include a handheld phone/tablet 110, as well as an Edge Gateway, Variable Frequency Drives, Building Management Systems (BMS), etc.
- a remote receiving device e.g., which may include a handheld phone/tablet 110, as well as an Edge Gateway, Variable Frequency Drives, Building Management Systems (BMS), etc.
- BMS Building Management Systems
- the processed data can be transmitted wirelessly (e.g., via Bluetooth 112, WiFi 114, or NFC 115) to the remote receiving device 110, e.g., as shown in Figures 1 A, 1 B, 1 C.
- the remote receiving device 110 may be able to further process the data for historical trends and present the information to operators/engineers/building owners to provide insight into the functioning of the machinery or equipment and store the data remotely for collaboration with other engineers/operators or systems.
- Embodiments may include the remote receiving device configured to implement predictive failure analysis, prescriptive analysis to support optimization algorithms for operating conditions, replacement part ordering, etc.
- the data from the condition monitoring device 100, 100' may provide operating information to technicians/engineers and building managers.
- the data can be used to guide maintenance and protect machinery, equipment or pumps from damage, increase uptime, or operating efficiency.
- the vibration and temperature data can provide insight to the condition of the machinery, equipment or pumps, e.g., including whether maintenance or replacement is necessary.
- the magnetic flux data can provide insight into the motor operating condition, direction, and loading, among other factors.
- the combination of the data from the combination of multiple sensors can be used to assess the functioning of individual pieces of machinery and/or systems.
- the condition monitoring system 20, 40, 60 may utilize Unique User IDs (UUID) created by combining unique identifiers internal to each condition monitoring device 100 and the condition monitoring device’s external QR code 118 to create secure communications to the remote received device 110 and maintain a visual link between the data and each condition monitoring device via the QR code label 119. Examples of this feature and a further discussion thereof is developed in relation to the description of Figure 6.
- UUID Unique User IDs
- condition monitoring system 20, 40, 60 may include one or more additional sensors collectively identified as 116 ((Fig. 4) for measurements of flow rates, temperatures of fluids, fluid pressures, water quality monitoring, motor operating conditions, load conditions, rotating direction, power consumption / efficiency, rotating frequency, fluid viscosity, etc.
- additional sensors collectively identified as 116 ((Fig. 4) for measurements of flow rates, temperatures of fluids, fluid pressures, water quality monitoring, motor operating conditions, load conditions, rotating direction, power consumption / efficiency, rotating frequency, fluid viscosity, etc.
- the scope of the invention is not intended to be limited to the type or kind of the one or more additional measurements, e.g., including types or kinds now known or later developed in the future.
- the condition monitoring device or edge gateway may interface with a Variable Frequency Drive (VFD), e.g., including VFDs using sensorless technology, to optimize pumping operations and improve system efficiency.
- VFD Variable Frequency Drive
- the present invention may be implemented with Bluetooth transmission capability, e.g., as shown in Figures 1A, 1 B, 1C.
- Bluetooth transmission capability e.g., as shown in Figures 1A, 1 B, 1C.
- embodiments are envisioned, and the scope of the invention is intended to include, using implementation with WiFi and/or NFC capability and may or may not include Gateway access.
- embodiments are envisioned, and the scope of the invention is intended to include, using other types or kinds of communication protocol, e.g., including types or kinds now known or later developed in the future.
- Condition monitoring devices may also be networked together with wired or wireless technology to create a network of measurement devices and support communication across larger distances.
- WiFi communication 114 with a Gateway (or other communication device) will enable remote, real-time monitoring of the condition monitoring device (Figure 1 A below), and consequently system performance.
- the vibration and temperature data can provide insight to the machinery's, equipment's or asset's condition and whether maintenance or replacement is necessary.
- the magnetic flux data can provide insight into the motor operating condition, direction, and loading, among other factors, of the machinery.
- condition monitoring device may support the creation of a fixed asset location management system.
- location services GPS
- the condition monitoring device 100 may include an X, Y, Z orientation indicator 125, e.g., as shown in Figure 2A, which may be molded on the the top cover 3, or affixed as a label, etc.
- the X, Y, Z orientation indicator 125 may be used to orient the condition monitoring device 100 so that the 3-axis vibration measurement module 106 (Fig. 3) may properly sense a 3-axis vibration of a motor shaft of the machinery, implement the 3-axis vibration analysis and detect potential bearing problems of the machinery that could not otherwise be detected using 1-axis or 2-axis vibration analysis.
- the X, Y, Z orientation indicator 125 allows the user to orient the condition monitoring device 100 into an X-axis alignment to sense axial vibration of the motor shaft, a Y- axis alignment to sense horizontal vibration of the motor shaft, and a Z-axis alignment to sense radial vibration of the motor shaft.
- variable UUID setting procedure may be implemented as follows:
- ID CHIP The internal chip identification. It is unique for every xTag.
- ID_XTAG_SVC_ID The xTag BLE (Bluetooth) service id. All xTag(s) share the same value. Immutable.
- ID QR The ID QR is read back from a QR code 118, e.g. as a 4-byte integer.
- ID DB The ID DB is stored in database.
- ID XTAG The ID XTAG is broadcasted in user data section from the xTag, a combination of ID CHIP and a user assigned UID.
- the format may take the form of: aa aa aa aa aa aa bb bb bb, where aa aa aa aa: a 4 byte fixed id presenting the unique ID CHIP; and bb bb bb bb: the user assigned UID, default value 00 00 00 00.
- Example of an Implementation 1 During manufacturing, the manufacturer prints a computer generated ID onto a QR code (e.g., assuming that the id is 0x12345678).
- the ID QR is NOT saved into the xTag at this point.
- the user turns on the xTag, e.g., with a magnet for initial configuration.
- the Xtag starts to broadcast an advertisement packet.
- the packet data format may take the form of: a random mac address, a flag, an ID_XTAG_SVC_ID and an ID XTAG (e.g., 0x9876543200000000+).
- the “+” sign is an extra bit that means the xTag is under or still in its configurating mode.
- the wireless enabled mobile device has a user app that scans the QR code 118 (Fig. 2A), getting the ID QR (e.g., 0x12345678).
- the mobile user app scans all BLE devices in the local region.
- the mobile user app may get a list like this: a. MAC1 , flag, svc id 1 , user datal b. MAC2, flag, svc id2, c. MAC3, flag, svc id3, user data2 d. MAC4, flag, ID_XTAG_SVCJD, ID XTAG (0x9876543200000000+)
- the mobile user app compares the svc id with the ID_XTAG_SVC_ID, discarding all non-relative BLE device (e.g., devices a , b, and c).
- the extra "x" bit in the user data section indicating this xTag in under its configuring mode.
- the mobile user app pinpoints out the xTag of device d and returns it to the user.
- the mobile user app initiates the pairing with an internal stored pairing key and exchanges an encryption key.
- a secured connection is established between the condition monitoring device (xTag) and the wireless enabled mobile device.
- the Xtag enters its recording mode.
- a maintenance engineer holds the handheld device (i.e., wireless enabled mobile device) close to the xTag.
- the mobile user app scans all BLE devices in the local region. By way of example, the app gets a list. a. MAC1 , flag, svc id 1 , user datal b. MAC2, flag, svc id2, c. MAC3, flag, svc id3, user data2 d. MAC4, flag, ID_XTAG_SVCJD, I D_XTAG1 (0x9876543212345678) (this is one xTag, the one configurated previously, non-configurable) e. MAC5, flag, ID_XTAG_SVCJD, I D_XTAG2(0x4433221145678901) (this is another xTag. non-configurable )
- the mobile user app discards all BLE device with different svc id (e.g., device a, b and c), so only lines for devices d and e is left. 12.
- the mobile user app reads back the record from xTag d and e one by one and closes the connection.
- the mobile user app stores the data read into local database and iCIoud with the same id, e.g. the data from xTag with I D XTAG 1 (0x9876543212345678) stores into the database record with ID DB1 (0x12345678).
- the user assigned UID can be retrieved by the device information service.
- Example 1 The combination of the data from multiple sensors can be used to improve the assessment of individual pieces of machinery, equipment and/or systems.
- the synthesis of data from multiple sensors will provide more insightful information into machinery, equipment and system functioning than can be determined by using individual sensors alone.
- the data synthesis condition monitoring technique is best illustrated through the following examples.
- Example 1 the data synthesis condition monitoring technique is best illustrated through the following examples.
- the motor driving a pump in a particular closed loop system is being monitored with a flux monitoring module, e.g., on-board the condition monitoring device.
- the flux monitoring module shows a reduction in motor flux, which could lead a technician to suspect an issue with the motor. The technician could then check the drive unit and see that the power has also dropped. The issue could now be with the motor or with incoming power.
- Additional sensors data such as an increase in a vibration sensor on the pump or temperature increase in the pump, would help the technician rule out motor or incoming power issues, and guide the technician to investigate system issues - such as a closed valve in the system that is causing the pump to dead head.
- the table in Figure 7A identifies potential problems associated with identifying changes when using individual sensors or pairs of sensors.
- the last row of the table in Figure 7A for the xTag shows how the use of the combination of all the multiple sensors provides a more complete analysis of the system and machinery and will lead to a diagnosis of the problem with higher confidence than when analyzing data from any single or dual sensor as shown in the other six (6) rows above it.
- the condition monitoring device will receive sensed signaling containing information/data about the flux, IR temp and vibration sensed, as well as the pressure, flow rate and power sensed, implement the data synthesis condition monitoring technique, provide a condition monitoring signal containing indications of the flux, IR temp and vibration sensed, as well as pressure, flow rate and power sensed, and may also provide a further indication of potential issues re closed valve when so determined.
- the condition monitoring device may provide no further indication, e.g., for review by the technician, etc.
- Example 2 By way of further example, consider a second scenario in which a temperature increase is identified on a motor of the machinery or equipment. This could be caused by a system restriction increasing the load, or an issue within the motor itself. Now, add in a second sensor indicating that vibration has increased, and also and a third sensor indicating that power has increased. Combined with other sensors showing stable flow rate and pressure (i.e. system is functioning correctly), increasing the confidence in properly diagnosing a motor bearing failure increases significantly.
- condition monitoring device will receive sensed signaling containing information/data about the flux, IR temp and vibration sensed, as well as pressure, flow rate and power sensed, implement the data synthesis condition monitoring technique, provide a condition monitoring signal containing indications of the flux, IR temp and vibration sensed, as well as pressure, flow rate and power sensed, and may also provide a further indication of potential issues re bearing failure when so determined.
- the condition monitoring device may provide no further indication, e.g., for review by the technician, etc.
- the Data Synthesis Condition Monitoring Technique is understood to be a data processing tool that gathers and continues to learn information/data about the machinery or equipment being monitored, builds an ongoing processing tool database, identifies potential issues based upon the processing tool database, and provides suitable indication in the condition monitoring signal regarding the same.
- the data processing tool may include user defined limits or industry threshold limits suitably programmed therein, etc.
- One skilled in the art after reading the instant disclosure would be able to implement, further develop out and expand onto the data synthesis condition monitoring technique disclosed herein, which is continuously building an on-going time dependent database.
- the present invention may include, or take the form of, a condition monitoring system 20, 40, 60 for monitoring machinery or equipment, e.g., having a condition monitoring device 100, 11 O' as described herein in combination with a wireless communication enabled device.
- the condition monitoring device 100, 110' may include: a wireless communication pairing module 120 configured to provide wireless communication pairing signaling containing information for pairing the condition monitoring device, and a cover assembly 3, 12 (Fig. 2B) having a QR code 118 arranged thereon to be scanned in order to receive QR code signaling containing information for pairing the condition monitoring device.
- the wireless communication enabled device 110 may include: a QR scanning app 110a configured to scan the QR code 118, and receive QR code signaling (e.g., from the Internet, from cellular data, etc.), and a pairing app or module 110b configured to receive the wireless communication pairing signaling generated by the condition monitoring device, receive the QR code signaling, and pair the wireless communication enabled device with the condition monitoring device based upon the signaling received.
- QR scanning app 110a configured to scan the QR code 118
- QR code signaling e.g., from the Internet, from cellular data, etc.
- a pairing app or module 110b configured to receive the wireless communication pairing signaling generated by the condition monitoring device, receive the QR code signaling, and pair the wireless communication enabled device with the condition monitoring device based upon the signaling received.
- the Modules 102, 104, 106, 108, 110a, 110b By way of example, the functionality of the modules 102, 104, 106, 108, 110a, 110b can be implemented using hardware, software, firmware, or a combination thereof.
- the modules 102, 104, 106, 108, 110a, 110b would include one or more microprocessor-based architectures having, e. g., at least one signal processor or microprocessor.
- a person skilled in the art would be able to program such a microcontroller (or microprocessor)-based implementation to perform the functionality described herein without undue experimentation.
- the scope of the invention is not intended to be limited to any particular implementation using technology either now known or later developed in the future.
- the scope of the invention is intended to include implementing the functionality of the processors as stand-alone processor or processor module, as separate processor or processor modules, as well as some combination thereof.
- the modules 102, 104, 106, 108, 110a, 110b may also include other signal processor circuits or components 109, e.g. including memory modules like random access memory (RAM) and/or read only memory (ROM), input/output devices and control, and data and address buses connecting the same, and/or at least one input processor and at least one output processor.
- RAM random access memory
- ROM read only memory
- condition monitoring system can be used in any application with rotating machinery or equipment.
- core applications may include: Process critical industrial pumps HVAC pumps
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Acoustics & Sound (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Alarm Systems (AREA)
Abstract
Description
Claims
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP20895044.4A EP4070040A4 (en) | 2019-12-03 | 2020-12-03 | Operational condition monitoring system |
| CN202080093332.2A CN115038937B (en) | 2019-12-03 | 2020-12-03 | Running condition monitoring system |
| AU2020395182A AU2020395182B9 (en) | 2019-12-03 | 2020-12-03 | Operational condition monitoring system |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962942998P | 2019-12-03 | 2019-12-03 | |
| US62/942,998 | 2019-12-03 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2021113453A1 true WO2021113453A1 (en) | 2021-06-10 |
Family
ID=76092116
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2020/063026 Ceased WO2021113453A1 (en) | 2019-12-03 | 2020-12-03 | Operational condition monitoring system |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11686610B2 (en) |
| EP (1) | EP4070040A4 (en) |
| CN (1) | CN115038937B (en) |
| AU (1) | AU2020395182B9 (en) |
| WO (1) | WO2021113453A1 (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11499738B2 (en) * | 2020-06-22 | 2022-11-15 | Honeywell International Inc. | System for device addition or replacement that uses a code scan |
| CN116391114A (en) * | 2020-10-28 | 2023-07-04 | Itt制造企业有限责任公司 | Modular Monitor |
| CN116306473B (en) * | 2023-02-06 | 2024-04-26 | 广州辰创科技发展有限公司 | PCBA dynamic function detection method and device |
| EP4471400A1 (en) * | 2023-05-31 | 2024-12-04 | Siemens Aktiengesellschaft | Model of a soft sensor for measuring mechanical damage and a soft sensor |
| IT202300017523A1 (en) * | 2023-08-23 | 2025-02-23 | Vibes S R L | SYSTEM FOR PREDICTIVE MAINTENANCE OF A MACHINE |
| WO2025040972A1 (en) * | 2023-08-23 | 2025-02-27 | Vibes S.R.L. | System and method for predictive maintenance of a machine |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150287318A1 (en) * | 2014-04-04 | 2015-10-08 | Rockwell Automation Technologies, Inc. | Industrial-enabled mobile device |
| WO2018198111A1 (en) | 2017-04-26 | 2018-11-01 | Augury Systems Ltd. | Systems and methods for monitoring of mechanical and electrical machines |
| US20190324434A1 (en) | 2017-08-02 | 2019-10-24 | Strong Force Iot Portfolio 2016, Llc | Systems and methods for data collection and data sharing in an industrial environment |
Family Cites Families (62)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6297742B1 (en) * | 1996-08-22 | 2001-10-02 | Csi Technology, Inc. | Machine monitor with status indicator |
| US5726911A (en) * | 1996-08-22 | 1998-03-10 | Csi Technology, Inc. | Electric motor monitor |
| US5841255A (en) * | 1996-08-22 | 1998-11-24 | Csi Technology, Inc. | Flux detector system |
| US6138078A (en) * | 1996-08-22 | 2000-10-24 | Csi Technology, Inc. | Machine monitor with tethered sensors |
| US6124692A (en) * | 1996-08-22 | 2000-09-26 | Csi Technology, Inc. | Method and apparatus for reducing electrical power consumption in a machine monitor |
| US5952803A (en) * | 1996-08-22 | 1999-09-14 | Csi Technology, Inc. | Structural enclosure for machine sensors |
| US6472865B1 (en) | 1998-05-08 | 2002-10-29 | Wabash Technologies, Inc. | Magnetic rotational position sensor having dual magnetic flux sensor capabilities |
| US6222454B1 (en) * | 1999-07-01 | 2001-04-24 | Goal Electronics Inc. | Non-contacting temperature sensing device |
| US6840671B2 (en) * | 2001-04-09 | 2005-01-11 | William R. Barron, Jr. | System and method for non-contact temperature sensing |
| US6839660B2 (en) | 2002-04-22 | 2005-01-04 | Csi Technology, Inc. | On-line rotating equipment monitoring device |
| DE10223428A1 (en) | 2002-05-25 | 2004-01-08 | Abb Patent Gmbh | Monitoring and control system for operation of technical processes and plants that are connected to a central server with condition monitoring capability |
| TW584721B (en) | 2003-03-14 | 2004-04-21 | Radiant Innovation Inc | Contactless temperature measurement device |
| US20050171736A1 (en) | 2004-02-02 | 2005-08-04 | United Technologies Corporation | Health monitoring and diagnostic/prognostic system for an ORC plant |
| SE529122C2 (en) | 2004-09-24 | 2007-05-02 | Jokab Safety Ab | Protective device for area restriction and surveillance |
| US7283914B2 (en) | 2004-10-28 | 2007-10-16 | Abb Technology Ag | System and method for vibration monitoring |
| US7559242B2 (en) | 2005-03-31 | 2009-07-14 | Intel Corporation | Silicon micromachined ultra-sensitive vibration spectrum sensor array (VSSA) |
| US7578193B2 (en) | 2006-06-28 | 2009-08-25 | Sauer-Danfoss Inc. | Method of measuring vibration on a device |
| WO2008148075A1 (en) | 2007-05-24 | 2008-12-04 | Alexander George Parlos | Machine condition assessment through power distribution networks |
| US9008997B2 (en) | 2009-10-26 | 2015-04-14 | Fluke Corporation | System and method for vibration analysis and phase analysis of vibration waveforms using dynamic statistical averaging of tachometer data to accurately calculate rotational speed |
| US8478548B2 (en) | 2010-01-15 | 2013-07-02 | Fluke Corporation | User interface system and method for diagnosing a rotating machine condition not based upon prior measurement history |
| US8594969B2 (en) | 2010-04-01 | 2013-11-26 | Thomas Martin Lill | Remote appliance or machine monitoring method and system |
| US9185365B2 (en) | 2010-10-07 | 2015-11-10 | Electronics And Telecommunications Research Institute | Apparatus and method for controlling sensor node using vibration sensor and magnetic sensor |
| US8803698B1 (en) | 2010-11-23 | 2014-08-12 | Fluke Corporation | Removable stand alone vibration monitor with automatically configured alarm thresholds |
| US20120181967A1 (en) | 2011-01-14 | 2012-07-19 | Remy Technologies, L.L.C. | Permanent magnet electric machine having an integrated magnetic flux sensor |
| US20130018626A1 (en) | 2011-07-17 | 2013-01-17 | Rossmax International Ltd. | Non-contact type temperature sensing device with constant distance measurement and temperature measuring method thereof |
| EP2549246A1 (en) | 2011-07-21 | 2013-01-23 | Vetco Gray Controls Limited | An electronics module for use subsea |
| JP5738711B2 (en) | 2011-07-29 | 2015-06-24 | 株式会社東芝 | Rotating machine state monitoring device, rotating machine state monitoring method, and rotating machine state monitoring program |
| US20130169452A1 (en) | 2012-01-03 | 2013-07-04 | Jui-Hsiang Fang | Sensing apparatus utilizing character/string signal and sensing system implementing sensing apparatus |
| CN102788645B (en) | 2012-07-18 | 2014-08-20 | 西安交通大学 | Infrared monitoring system for temperature rise of electric connecting point of electrical equipment and monitoring method |
| US9484791B2 (en) | 2012-08-08 | 2016-11-01 | Infineon Technologies Ag | Remote rotor parameter sensor for electric drives |
| US8913955B1 (en) | 2012-09-17 | 2014-12-16 | Amazon Technologies, Inc. | Magnetically initiated device pairing |
| US8935038B2 (en) | 2013-03-15 | 2015-01-13 | Bosch Automotive Service Solutions Llc | Vibration analyzer for vehicle diagnostics |
| CN103235568B (en) * | 2013-04-03 | 2016-05-11 | 电子科技大学 | A kind of nuclear power plant equipment condition monitoring wireless detection device |
| CN104121936A (en) * | 2013-04-29 | 2014-10-29 | 艾默生电气(美国)控股公司(智利)有限公司 | Dynamic transducer with digital output and method for use |
| CN103488139A (en) * | 2013-09-05 | 2014-01-01 | 山东博润工业技术股份有限公司 | Intelligent monitoring system for vibrating device |
| US10707921B2 (en) | 2018-04-16 | 2020-07-07 | Nikola Labs | Systems and methods for machine condition monitoring |
| EP3090269B1 (en) | 2013-12-30 | 2023-07-12 | ABB Schweiz AG | System for condition monitoring of electric machine, mobile phone and method thereof |
| EP2905887B1 (en) | 2014-02-08 | 2020-04-01 | Kone Corporation | Method for controlling an alternative current electric machine, and a frequency converter |
| US9846426B2 (en) * | 2014-07-28 | 2017-12-19 | Computational Systems, Inc. | Parallel digital signal processing of machine vibration data |
| EP2988187B1 (en) | 2014-08-22 | 2017-03-29 | ABB Schweiz AG | A method for assessing the condition of rotating machinery connected to an electric motor |
| SG10201405714SA (en) | 2014-09-15 | 2016-04-28 | Yokogawa Engineering Asia Pte Ltd | Method, system and computer program for fault detection in a machine |
| CN104460617A (en) * | 2014-11-28 | 2015-03-25 | 浙江理工大学 | Device for remotely monitoring mechanical operating state for equipment leasing and monitoring method of device |
| TW201633024A (en) | 2015-03-06 | 2016-09-16 | Nat Univ Chin Yi Technology | Process machine sliding table monitoring system |
| US10271115B2 (en) | 2015-04-08 | 2019-04-23 | Itt Manufacturing Enterprises Llc. | Nodal dynamic data acquisition and dissemination |
| US9924245B2 (en) | 2015-05-06 | 2018-03-20 | Crystal Instruments Corporation | Synchronized measurement device using local area network with ethernet messaging |
| US20170073936A1 (en) | 2015-09-10 | 2017-03-16 | Caterpillar Inc. | System and method for determining a useful life of a consumable component |
| US10063124B2 (en) * | 2015-12-10 | 2018-08-28 | Schweitzer Engineering Laboratories, Inc. | Shaft mounted monitor for rotating machinery |
| TWI585312B (en) | 2015-12-30 | 2017-06-01 | 上銀科技股份有限公司 | Sensor structure |
| US11327475B2 (en) | 2016-05-09 | 2022-05-10 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for intelligent collection and analysis of vehicle data |
| CN205992042U (en) | 2016-07-22 | 2017-03-01 | Abb 瑞士有限公司 | For monitoring the state monitoring apparatus of motor |
| US11016003B2 (en) | 2016-11-17 | 2021-05-25 | Ez Pulley Llc | Systems and methods for detection and analysis of faulty components in a rotating pulley system |
| US9913006B1 (en) | 2016-11-28 | 2018-03-06 | 01dB-METRAVIB, Société par Actions Simplifiée | Power-efficient data-load-efficient method of wirelessly monitoring rotating machines |
| DE102017110475B4 (en) | 2017-05-15 | 2023-05-17 | Prüftechnik Dieter Busch GmbH | DEVICE AND METHOD FOR MEASUREMENT OF VIBRATION ON A MACHINE |
| CN107024890A (en) * | 2017-06-16 | 2017-08-08 | 江苏博阳智慧电气股份有限公司 | Intelligently exploitation conveys monitoring system to a kind of oil |
| EP4657194A3 (en) * | 2017-08-02 | 2026-03-04 | Strong Force Iot Portfolio 2016, LLC | Methods and systems for detection in an industrial internet of things data collection environment with large data sets |
| CN107643712A (en) * | 2017-09-25 | 2018-01-30 | 中国航空工业集团公司西安飞机设计研究所 | A kind of Multi-sensor intelligent monitoring device |
| WO2019086969A1 (en) | 2017-11-01 | 2019-05-09 | Abb Schweiz Ag | Condition monitoring device and method for secure communication |
| WO2019123078A1 (en) | 2017-12-19 | 2019-06-27 | Abb Schweiz Ag | Condition monitoring device for monitoring operations of motor |
| EP3511584B1 (en) | 2018-01-15 | 2020-07-22 | Siemens Aktiengesellschaft | Method for monitoring a magnetic bearing device |
| US20190346823A1 (en) * | 2018-05-11 | 2019-11-14 | Owens Corning Intellectual Capital, Llc | Wireless condition monitoring sensor |
| CN113287072B (en) | 2018-11-09 | 2024-08-09 | 奥格瑞系统有限公司 | Automatic analysis of non-stationary machine performance |
| CN209118121U (en) * | 2019-01-17 | 2019-07-16 | 山东胜业智控科技有限公司 | Motor and connecting transmission mechanism running state monitoring device |
-
2020
- 2020-12-03 CN CN202080093332.2A patent/CN115038937B/en active Active
- 2020-12-03 AU AU2020395182A patent/AU2020395182B9/en active Active
- 2020-12-03 EP EP20895044.4A patent/EP4070040A4/en active Pending
- 2020-12-03 WO PCT/US2020/063026 patent/WO2021113453A1/en not_active Ceased
- 2020-12-03 US US17/110,713 patent/US11686610B2/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150287318A1 (en) * | 2014-04-04 | 2015-10-08 | Rockwell Automation Technologies, Inc. | Industrial-enabled mobile device |
| WO2018198111A1 (en) | 2017-04-26 | 2018-11-01 | Augury Systems Ltd. | Systems and methods for monitoring of mechanical and electrical machines |
| US20190324434A1 (en) | 2017-08-02 | 2019-10-24 | Strong Force Iot Portfolio 2016, Llc | Systems and methods for data collection and data sharing in an industrial environment |
Non-Patent Citations (1)
| Title |
|---|
| See also references of EP4070040A4 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115038937B (en) | 2024-07-12 |
| US20210164828A1 (en) | 2021-06-03 |
| EP4070040A4 (en) | 2023-06-14 |
| EP4070040A1 (en) | 2022-10-12 |
| AU2020395182B2 (en) | 2023-04-13 |
| US11686610B2 (en) | 2023-06-27 |
| AU2020395182B9 (en) | 2023-04-27 |
| AU2020395182A1 (en) | 2022-06-16 |
| CN115038937A (en) | 2022-09-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11686610B2 (en) | Operational condition monitoring system | |
| US10685335B2 (en) | Integrated asset integrity management system | |
| US20150310723A1 (en) | Trending machine health data using rfid transponders | |
| EP3504789B1 (en) | System for monitoring condition of a plurality of motors | |
| US9507982B2 (en) | Line replaceable unit health nodes and methods for determining maintenance actions relating to line replaceable units | |
| US9383225B2 (en) | Apparatus and method for reading gauges and other visual indicators in a process control system or other data collection system | |
| CN105164736B (en) | Portable data collection system and method | |
| AU2018375009A1 (en) | System and method for programming wireless sensor tags in food service operations | |
| CN108917958A (en) | A kind of Intelligent internet of things temp measuring system | |
| US9070030B2 (en) | Management system for container data center | |
| WO2019207457A1 (en) | Method for monitoring and controlling motors and a system thereof | |
| CN115654677A (en) | An air conditioning system and terminal equipment | |
| KR20200048269A (en) | System and method for monitoring temperature / humidity inside a wafer carrier using a temperature / humidity sensor based on short-distance wireless communication | |
| TR202011389U5 (en) | DATA COLLECTION CONTROL UNIT | |
| US20180332175A1 (en) | Mobile prepaid solution for energy metering | |
| CN120995439A (en) | An identity verification system for underwater operators of deep-sea robots | |
| JP2020197921A (en) | Status gathering system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 20895044 Country of ref document: EP Kind code of ref document: A1 |
|
| ENP | Entry into the national phase |
Ref document number: 2020395182 Country of ref document: AU Date of ref document: 20201203 Kind code of ref document: A |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| ENP | Entry into the national phase |
Ref document number: 2020895044 Country of ref document: EP Effective date: 20220704 |
|
| WWG | Wipo information: grant in national office |
Ref document number: 202217031994 Country of ref document: IN |