WO2014128132A1 - Système et procédé de surveillance - Google Patents

Système et procédé de surveillance Download PDF

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Publication number
WO2014128132A1
WO2014128132A1 PCT/EP2014/053163 EP2014053163W WO2014128132A1 WO 2014128132 A1 WO2014128132 A1 WO 2014128132A1 EP 2014053163 W EP2014053163 W EP 2014053163W WO 2014128132 A1 WO2014128132 A1 WO 2014128132A1
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WIPO (PCT)
Prior art keywords
sources
relief system
relief
source
parameters
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Ceased
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PCT/EP2014/053163
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English (en)
Inventor
Richard S BAILEY
Greg HICKEY
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BP Exploration Operating Co Ltd
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BP Exploration Operating Co Ltd
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Publication date
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Publication of WO2014128132A1 publication Critical patent/WO2014128132A1/fr
Anticipated expiration legal-status Critical
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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
    • F23G7/00—Incinerators or other apparatus for consuming industrial waste, e.g. chemicals
    • F23G7/06—Incinerators or other apparatus for consuming industrial waste, e.g. chemicals of waste gases or noxious gases, e.g. exhaust gases
    • F23G7/08—Incinerators or other apparatus for consuming industrial waste, e.g. chemicals of waste gases or noxious gases, e.g. exhaust gases using flares, e.g. in stacks
    • F23G7/085—Incinerators or other apparatus for consuming industrial waste, e.g. chemicals of waste gases or noxious gases, e.g. exhaust gases using flares, e.g. in stacks in stacks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23N—REGULATING OR CONTROLLING COMBUSTION
    • F23N5/00—Systems for controlling combustion
    • F23N5/02—Systems for controlling combustion using devices responsive to thermal changes or to thermal expansion of a medium
    • F23N5/022—Systems for controlling combustion using devices responsive to thermal changes or to thermal expansion of a medium using electronic means
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23N—REGULATING OR CONTROLLING COMBUSTION
    • F23N5/00—Systems for controlling combustion
    • F23N5/18—Systems for controlling combustion using detectors sensitive to rate of flow of air or fuel
    • F23N5/187—Systems for controlling combustion using detectors sensitive to rate of flow of air or fuel using electrical or electromechanical means
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23N—REGULATING OR CONTROLLING COMBUSTION
    • F23N5/00—Systems for controlling combustion
    • F23N5/24—Preventing development of abnormal or undesired conditions, i.e. safety arrangements
    • F23N5/242—Preventing development of abnormal or undesired conditions, i.e. safety arrangements using electronic means
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23N—REGULATING OR CONTROLLING COMBUSTION
    • F23N2223/00—Signal processing; Details thereof
    • F23N2223/08—Microprocessor; Microcomputer

Definitions

  • the present invention relates to a system and method for monitoring a relief system, such as a flare or venting system.
  • Flare systems are combustion systems that are typically used in industrial plants and at oil and/or gas production sites.
  • a flare system receives surplus or unusable fluid, such as hydrocarbon fluid, which cannot be processed in certain situations from one, or more often from many, sources.
  • Gas received by the flare system is typically burned and liquid is recycled.
  • Each fluid source is connected to the flare system via a feed line (e.g. a pipe), which has a pressure controlled relief valve or manual valve to permit fluid to be released from the source and into the flare system.
  • a feed line e.g. a pipe
  • Such relief/manual valves can act as a safety device when the fluid pressure in the source reaches a threshold level, or can be operated as a result of certain manual operations, plant depressurisation or inventory removal from a source.
  • the sources may be hydrocarbon processing facilities such as gas/liquid separators or compressors.
  • Existing hydrocarbon processing facilities comprise sensors such as pressure and temperature sensors, valve position sensors (including manual valve position sensors), bursting disc state sensors and flow meters; these sensors can be used to detect whether the pressure controlled relief valves and other devices such as bursting discs on a given source are open, closed or partially open, and their measurements are generally used to monitor, control and shutdown the associated processing facility.
  • sensors such as pressure and temperature sensors, valve position sensors (including manual valve position sensors), bursting disc state sensors and flow meters; these sensors can be used to detect whether the pressure controlled relief valves and other devices such as bursting discs on a given source are open, closed or partially open, and their measurements are generally used to monitor, control and shutdown the associated processing facility.
  • a monitoring system for monitoring the operation of a relief system, the relief system being connected to one or more sources configured to deliver fluid into the relief system and the sources each comprising one or more source sensors for measuring one or more parameters associated with a respective source, wherein the monitoring system is configured to access data storage arranged to store a first set of one or more sources that have previously been identified as delivering fluid into the relief system, the monitoring system comprising: a data receiver arranged to receive substantially real-time measurement data from the source sensors; and
  • a processor configured to:
  • the invention provides a way of monitoring the operation of a relief system such as a flare system or a venting system and identifying potential risk situations based on substantially real-time measurements from the sources feeding fluid into the relief system.
  • the invention recognises that the behaviour of certain parameters (e.g. pressure, temperature, flow, liquid levels) in the relief system depends on which sources are feeding fluid into the relief system at that time.
  • the present invention also provides a computer-implemented method for monitoring the operation of a relief system, the relief system being connected to one or more sources configured to deliver fluid into the relief system and the sources each comprising one or more source sensors for measuring one or more parameters associated with a respective source, the method comprising the steps of:
  • a computer program or a suite of computer programs comprising a set of instructions arranged to cause a computer or a suite of computers to perform the above method steps, and a computer readable medium comprising the computer program, are also provided.
  • Figure 1 shows a schematic diagram of a flare system into which a number of sources can feed gas via associated feed lines and valves;
  • FIG. 2 shows a monitoring system according to the present invention
  • FIG. 3 is a flow diagram of the steps carried out by the monitoring system of Figure 2;
  • Figure 4a is a flow diagram of the steps taken by the monitoring system of Figure 2 in determining which sources are feeding fluid into the flare system;
  • Figure 4b shows a schematic diagram of a source that can feed gas into the flare system
  • Figure 5 is a flow diagram of the steps taken by the monitoring system of Figure 2 in determining whether a currently active source set is known to the monitoring system;
  • Figure 6a is a source map of known flare system operating scenarios
  • Figure 6b is a signature map of expected flare system parameter values
  • Figure 7 is a flow diagram of the steps taken by the monitoring system in generating a flare system operation assessment based on the signature map of Figure 6b.
  • a plurality of sources such as hydrocarbon production facilities la-lj are connected to a fluid relief system comprising a gas flare system 3, such that fluid can flow from feed lines 2a of the sources to feed lines 2b of the flare system 3.
  • sources la-lc may be one or more liquid/gas separators
  • sources Id and le may be utilities
  • source If may be exported gas
  • sources lg-lj may be one or more compressors.
  • Each of the sources comprises one or more source sensors 4, such as fluid pressure sensors Pi, fluid temperature sensors Ti, valve position sensors Xi, bursting disc state sensors, manual valve position sensors and flow meters, located on or upstream of the valves 5, for measuring one or more parameters associated with the source.
  • a valve 5 such as a manual valve MV 1 , a pressure relief valve PS V 1 -3 , a pressure control valve PC V 1 -2, a "blowdown" (emergency depressurisation) valve BDV1-2 or a bursting disc BD1-2, is associated with each source, and can be partially or fully opened to allow fluid to flow from the source feed lines 2a to the flare system feed lines 2b.
  • a position indication may be provided by one or more of the valve position sensors Xi to provide an indication of the degree to which the respective valves are open.
  • the flare system feed lines 2b feed into further feed lines 2c referred to as "headers".
  • the flare system 3 includes a flare drum 6 for removing liquid such as oil or water from the fluid that is fed into the flare system 3.
  • a flare liquid pump 7 removes the separated liquid from the flare drum 6, while gas flows from the flare drum 6 and through a flare stack 8 to the flare (flame) 9.
  • the flare system 3 has one or more flare sensors 10 for measuring one or more parameters of fluid in the flare system 3, for example sensors for determining a gas temperature T 3 ⁇ 4 drum pressure P 3 ⁇ 4 flare drum liquid level L L and temperature T L , pumped liquid flow rate F L and pressure P L , and flare stack gas flow rate F G .
  • valves 5 are considered to be the point at which fluid leaves a source and enters the flare system; that is, everything downstream of each valve 5 in the direction of fluid flow is considered to comprise part of the flare system 3, while everything upstream of the valves 5 is considered to comprise part of a source.
  • FIG 2 shows a monitoring system 200 for monitoring the operation of a flare system, such as the flare system 3 of Figure 1.
  • the monitoring system 200 comprises a processing system arranged to operate a computer program such as an operation monitoring program 201, as explained further below with respect to Figures 3 to 7.
  • the processing system may be a control system on a platform, which can comprise conventional operating system and storage components such as a system bus connecting a central processing unit (CPU) 202, a hard disk 203, a random access memory (RAM) 204, and input/output and network adaptors 205 facilitating connection to user devices and interconnection with other devices on a network Nl .
  • CPU central processing unit
  • RAM random access memory
  • the Random Access Memory (RAM) 204 contains operating system software 206 which controls, in a known manner, low-level operation of the monitoring system 200.
  • the server RAM 204 contains operation monitoring program 201 during execution thereof.
  • the operation monitoring program 201 is configurable with measurement data received from external sensors 4, 10 by data receiver 205 (for example a network adaptor that receives data over a network such as network l), and with pre-defined data stored in a database or other storage component which is operatively coupled or connected to the processing system 200; in the system of Figure 2, storage component DB stores all such stored data and is accessible by the operation monitoring program 201.
  • the system 200 can be operatively connected to a display, a flare system controller of the flare system 3, or a source controller associated with one or more of the sources (denoted generally as 207 in Figure 2), for example via the network Nl .
  • the controller 207 of the flare system 3 can be automatically configured with the one or more operating modes determined by the monitoring system 200, the controller 207 being arranged to apply the one or more operating modes to the flare system 3.
  • the data receiver 205 is arranged to receive substantially real-time measurement data from the source sensors 4 and the flare sensors 10, and the data storage DB is arranged to store a "source map" of pre-defined sets of sources that are actively delivering (or
  • a set may comprise one source or a combination of multiple sources.
  • Each of the pre-defined sets corresponds to an operating scenario of the flare system 3 for which the flare system parameters (e.g. pressure, flow rate, temperature) have been established as “acceptable”; the database DB stores the expected flare system parameter values for each operating scenario in a "signature map”, as explained below with reference to Figure 6b.
  • the monitoring system receives real-time measurements from the source sensors 4 at step S301.
  • the flare monitoring system 200 is preferably configured to monitor the sensor measurements at pre-determined time intervals and to recognise each change in the currently active sources as the start of a new relief event on which a flare system operation assessment must be generated.
  • the source sensor 4 measurements are applied, at step S302, as inputs into the operation monitoring program 201 and the flare monitoring system 200 executes the program 201 at step S303.
  • the monitoring system 200 detects the start of a new relief event (step S304) and continues to receive and monitor the sensor measurements at pre-determined time intervals throughout the event.
  • the monitoring system 200 can also monitor a rate of change of one or more parameters based on the received sensor measurements.
  • the resulting behaviour in the system may vary over the relief event, as in practice the flow of gas from active sources may vary in flow rate over time, or the gas flowing from sources that are sensed as being active may take varying amounts of time to reach the flare system and hence affect the flare system parameters in the expected way.
  • the operation monitoring program 201 is able to take this into account, for example by ignoring transient measurements within a certain time frame of the start and end of the relief event and considering peak condition and the rate of change of one or more parameter values during the remainder of the relief event, that is, when conditions are more stable.
  • the monitoring program 201 uses the received source sensor 4 measurement data to determine, at step S305, a set of active sources 1 currently feeding fluid into the flare system 3, as will be explained further below with reference to Figures 4a and 4b.
  • the monitoring program 201 then accesses the data storage DB and analyses (step S306) the stored pre-defined sets of active sources, determining whether the current set of active sources matches a pre-defined set of active sources, as explained further below with reference to Figures 5 and 6a. Where a match exists, the analysis further comprises comparing received flare sensor 10 measurement data to acceptable flare system parameters correlating to the stored set of active sources, as explained further below with reference to Figures 6b and 7.
  • the monitoring program 201 then generates a flare system operation assessment based on the analysis at step S307.
  • the flare monitoring system 200 may be configured to output (step S308) the generated operation assessment to one or more of a display, a flare system controller and a source controller associated with one or more of the sources 1 (denoted generally as 207 in Figure 1). Additionally or alternatively, software executed by the CPU 202 of the system 200 can determine, on the basis of the generated operation assessment, one or more operating modes of flare system controller or source controller 207. The operating mode may be determined, for example, by an appropriate algorithm within the operation monitoring program 201 or using a separate software component (not shown), which is executed by the CPU 202 of the monitoring system 200.
  • the operation monitoring program 201 or the separate software component for determining the operating mode, is configured to use a predetermined set of rules in conjunction with the generated operation assessment, in order to determine the operating mode. These rules are stored in and accessible from the database DB as necessary.
  • the computer-implemented method can further include an optional step of applying or inputting the determined operating mode into the controller 207 of the flare system or source(s).
  • Figure 4a shows the steps taken by the operation monitoring program 201 of the monitoring system 200 in determining the current set of active sources in step S305 of Figure 3.
  • the received source sensor 4 measurements are input, in step S401, into a state detection algorithm, which is then executed in respect of each of the sources 1 in step S402.
  • the state detection algorithm may be executed as part of the operation monitoring program 201, or the monitoring system 200 may comprise a separate state detection program (not shown) whose results are fed back into the operation monitoring program 201.
  • the state detection algorithm is a mathematical algorithm which uses the sensor measurements to determine whether fluid is flowing through the respective valves 5, and hence decide whether the source can be classified as "active" or "inactive” (step S403).
  • variable flow valve 5 may be determined as being partially open, in which case the degree to which they are open can be sensed and its state considered based on a threshold parameter value (e.g. flow rate); for example, a valve that is determined as being partially open so as to allow a 10% flow rate of the maximum possible fluid flow (i.e. when the valve is fully open) may result in the associated source being considered to be inactive by the state detection algorithm, as in practice such low flow rates from certain sources may not appreciably contribute to the overall flare system parameters, or may do so within a tolerable margin of the acceptable operating limits of the flare system 3.
  • a threshold parameter value e.g. flow rate
  • Figure 4b shows a schematic diagram of source If of Figure 1, which connects to the flare system 3 and is arranged to feed (or export) gas into the flare system 3 via a manual valve MV1.
  • the source includes a test separator 11 and various other valves 12, including a pressure relief valve PSV4, pressure control valves PCV3-4 and emergency shut down valves ESDV1-4.
  • source sensors 4 include pressure sensors P l5 P 2 , temperature sensors Ti, valve position indicators Xi, fluid level sensor Li and flow meter Fi.
  • the state detection algorithm uses combinations of the sensor 4 measurements in a decision tree to determine whether the manual valve MV1 is active, for example:
  • LI(MIN) is a minimum threshold fluid level value
  • DELTAP 1; 2 represents a change in the respective pressure over time.
  • test separator 11 determines that the test separator 11 is isolated, that it is not depressurised or empty, and that the pressure is falling. If every other avenue is closed off, then the gas must be flowing via valve MV1 by a process of elimination.
  • the current active source set is considered to be determined (step S404).
  • the program 201 determines whether the scenario is known to the monitoring system 200.
  • Operating scenarios as defined by the active sources operating at any one time, can be pre-defined for known scenarios and stored as a "source map" in data storage DB.
  • the program 201 can access (step S502) a library of source maps in the data storage DB and, at step S503, analyse the stored data to determine whether the current set of active sources matches a pre-defined set of active sources of one of the source maps.
  • the operating scenario is classified as "unknown" (step S504), and the operation assessment generated according to step S307 of Figure 3 comprises an alert that the current active source set is unknown to the system, which is output, for example to a display 207, at step S505.
  • An operator or user can then act appropriately, for example by controlling the operation of the flare system manually.
  • the unknown scenario operation assessment can be output as an operating mode to a flare system controller 207 of the flare system 3 or a source controller associated with one or more of the sources, for example via the network Nl, as an instruction for the respective controller to perform an appropriate action, such as closing an associated valve 5, altering other flare system 3 components or if necessary shutting down a source.
  • FIG. 6a An example of a source map is shown in Figure 6a.
  • the corresponding active valves 5 are stored, as marked with an "X" in the table.
  • the manual valve MV1 of Figure 1 is detected by the state detection algorithm to be open, and is the only open valve; therefore, the associated source If is the only active source.
  • the associated source If is the only active source.
  • the pressure control valve PC VI is determined to be open and hence its associated source la is active.
  • the pressure relief valve PS VI associated with source lb is opened (either fully, or partially to allow fluid flow above a pre-determined threshold), this is detected by the monitoring system 200 as a new relief event according to step S304 of Figure 3, and the steps of Figures 4 and 5 are carried out for this new relief event until the monitoring system 200 determines that the current active source set n matches the "Separator Full Flow Relief scenario of Figure 6a.
  • the data storage DB is further arranged to store correlations between the pre-defined sets of active sources in the sources maps and corresponding expected flare system parameters, known as flare system "signatures". For example, if only source la is releasing gas into the flare system, the parameters in the flare system will exhibit a given behaviour - "signature A”. If only source lb is active, the parameters in the flare system will exhibit a different behaviour - "signature B”. If sources la and lb are both active, "signature C" is recorded by the sensors in the flare system which is again different from signatures A and B.
  • the correlations effectively indicate what the flare system 3 signature should be for a known set of active sources.
  • the signatures preferably include expected operating limit error margins within which measured flare system parameters are acceptable.
  • Figure 6b shows an example signature map of acceptable flare system 3 parameters for each of the scenarios listed in Figure 6a.
  • the parameter values are shown as ranges with lower and upper acceptable, expected operating limits.
  • the expected limits are determined by carrying out a sensitivity analysis on each flare operating scenario, for example using known engineering design programs.
  • the signature map can also store acceptable rates of change (not shown) for one or more parameters, and can be used to monitor the rates of change based on the received sensor measurements.
  • the acceptable rate of change of a given parameter may vary depending on how close the parameter value is to an acceptable operating limit.
  • the monitoring system 200 can learn whether certain combinations of parameters are acceptable as each scenario occurs and the combinations can be stored as being "acceptable” or are otherwise acted upon manually by a user.
  • the flare system 3 has inherent engineering design limits that are pre-determined when designing the flare system 3. The expected limits provide an early warning of any impending escalation in the flare system parameters which will take the flare system 3 beyond the engineering design limits.
  • the measurement data received from the sensors 4, 10 may, if necessary or preferred, be manipulated by appropriate software, for example using an appropriate algorithm within the operation monitoring program 201 or using a separate program (not shown), which is executed by the CPU 202 of the monitoring system 200, in order to generate input data that are suitable for further use in the operation monitoring program 201.
  • Figure 6b shows an "average flare liquid flow rate" as one of the stored parameters, but it may be the case that there is no flow meter present to measure the flow rate of the liquid.
  • the operation monitoring program 201 (or a separate software component, not shown) is used to create a "virtual sensor" by applying an algorithm to measured values to determine an average flare liquid flow rate value.
  • the volume of liquid flowing from the flare drum 6 is calculated as the pump 7 flow rate (which is measured) multiplied by the time for which the pump 7 is "on":
  • Flare liquid flow (volume) Pump flow rate x Time.
  • Time is generally calculated by the operation monitoring program 201 or other monitoring system 200 software.
  • the pump flow rate is a function of the difference between the drum pressure and the discharge pressure as determined from the pump 7 manufacturer's flow curve.
  • An “average” flare liquid flow rate in terms of the volume per hour can then be calculated, and for acceptable scenarios this can be stored in the signature map such as is shown in Figure 6b.
  • step S506 the scenarios are compared and analysed further in order to assess the acceptability of the current scenario and generate an appropriate operation assessment, as shown in Figure 7.
  • the flare system signature correlating to the matching source map is retrieved or accessed and the corresponding flare operating limits are determined at step S701.
  • step S702 real-time flare system sensor 10 measurement data are received; frequent and regular collection of the flare sensor measurement data by the monitoring system 200 may begin in response to a flare monitoring system 200 request (triggered by, for example, a positive source map match), or the flare system sensor measurements may be collected at frequent, pre-determined time intervals by the system in response to the detection of a new relief event.
  • any virtual sensor values that are required are calculated.
  • the received flare sensor 10 measurement data are compared to the corresponding flare operating limits, to determine whether the current operating scenario is within the acceptable operating limits throughout the relief event.
  • the monitoring system 200 determines that the flare system 3 is operating acceptably at step S705.
  • the monitoring system 200 outputs an acceptable operating scenario alert to the user at step S706, indicating that the flare system is operating according to a known scenario and is within expected operating limits.
  • the monitoring system classifies the scenario as an
  • the pre-defined operating scenarios may be established and stored when a source 1, such as a hydrocarbon processing facility, is commissioned.
  • a source 1 such as a hydrocarbon processing facility
  • the flare monitoring system is able to learn from unknown operating scenarios it encounters. For example, if a set of active sources is detected which is not present in the library, and
  • the flare monitoring system 200 can add that set of sources (and the correlating expected flare parameters it measures in the flare system 3) to the library of source maps stored in the database DB.
  • the user is required to confirm to the flare monitoring system 200 at the end of an unknown scenario that the scenario was acceptable. In this way, the next time that specific set of active sources is encountered, the flare monitoring system 200 can refer to the library and retrieve the expected signature.
  • a signature measured for the first encounter of a particular operating scenario does not represent a typical signature for that set of sources.
  • the limits of acceptable operation are initially set relatively widely and the expected signature can then be modified and refined based on further experiences of that operating scenario, by the monitoring system 200 learning from each scenario based on user input in response thereto, and/or by the user refining the limits manually using historical data for that scenario and judgement.
  • the user may use an engineering simulator to understand the operating scenario and set limits.
  • the monitoring system 200 decides that the actual signature is outside the predefined expected operating limits, the monitoring system alerts the user. If the user monitors this operating scenario and decides that the flare system is operating acceptably in practice, the user can change the expected operating limits stored for that scenario in the signature map accordingly.
  • the operation monitoring program is preferably implemented as bespoke software and is installed on a central computer.
  • a flare monitoring system uses the measurements of sensors (e.g. pressure, temperature, flow meters, valve position sensors) associated with the sources to determine which sources are active using mathematical algorithms, and uses this information in substantially real time to monitor the operation of the flare system and predict potential risks or failures.
  • Flare system signatures in terms of measured flare system parameters
  • the system can compare current measured flare system parameters with stored acceptable parameters, to assess operation of the relief system.
  • the monitoring system can also identify unknown scenarios, in order to determine whether the current operating scenario (and hence the current set of active sources) is acceptable.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Environmental & Geological Engineering (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

L'invention concerne un système de surveillance pour la surveillance du fonctionnement d'un système de décompression. Le système de décompression est relié à une ou plusieurs sources conçues pour distribuer un fluide dans le système de décompression et les sources comprennent chacune un ou plusieurs capteurs de source pour mesurer un ou plusieurs paramètres associés à une source respective. Le système de surveillance est conçu pour accéder à un stockage de données agencé pour stocker un premier ensemble d'une ou plusieurs sources qui ont été précédemment identifiées comme distribuant un fluide dans le système de décompression. Le système de surveillance comprend un récepteur de données agencé pour recevoir des données de mesure sensiblement en temps réel des capteurs de source et d'un processeur. Le processeur est conçu pour a) déterminer un deuxième ensemble de sources distribuant actuellement un fluide dans le système de décompression sur base des données reçues de mesure de capteur de source, b) accéder au stockage de données au moyen duquel on détermine si ledit deuxième ensemble de sources correspond au premier ensemble de sources, et c) générer une évaluation de fonctionnement du système de décompression sur base de la détermination. L'invention concerne également un procédé mis en œuvre sur un ordinateur pour la surveillance du fonctionnement d'un système de décompression.
PCT/EP2014/053163 2013-02-20 2014-02-18 Système et procédé de surveillance Ceased WO2014128132A1 (fr)

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EP13155991 2013-02-20
EP13155991.6 2013-02-20

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Cited By (5)

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WO2016060894A1 (fr) * 2014-10-15 2016-04-21 Cameron Solutions, Inc. Système et procédé permettant la mise à l'air libre plus sûre d'hydrogène et d'autres gaz combustibles
WO2016064994A1 (fr) * 2014-10-24 2016-04-28 Lumasense Technologies Holdings, Inc. Mesure et régulation de la qualité d'une flamme en temps réel
CN106768715A (zh) * 2016-11-28 2017-05-31 上海汽车变速器有限公司 含蓄能器的高压系统泄压时间预估方法及系统
WO2018024321A1 (fr) * 2016-08-02 2018-02-08 Siemens Aktiengesellschaft Unité de surveillance et de commande pour utilisation dans un système autonome avec propriétés d'auto-x
US10746400B2 (en) 2016-06-28 2020-08-18 General Electric Company Integrated flare combustion control

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WO2016060894A1 (fr) * 2014-10-15 2016-04-21 Cameron Solutions, Inc. Système et procédé permettant la mise à l'air libre plus sûre d'hydrogène et d'autres gaz combustibles
US9732870B2 (en) 2014-10-15 2017-08-15 Cameron Solutions, Inc. System and method for safer venting of hydrogen or other combustible gases
US10677366B2 (en) 2014-10-15 2020-06-09 Cameron Solutions, Inc. System and method for safer venting of hydrogen or other combustible gases
WO2016064994A1 (fr) * 2014-10-24 2016-04-28 Lumasense Technologies Holdings, Inc. Mesure et régulation de la qualité d'une flamme en temps réel
GB2546706A (en) * 2014-10-24 2017-07-26 Lumasense Tech Holdings Inc Measuring and controlling flame quality in real-time
CN107110501A (zh) * 2014-10-24 2017-08-29 卢玛赛恩斯科技控股股份有限公司 对火焰质量的实时测量和控制
GB2546706B (en) * 2014-10-24 2021-01-06 Lumasense Tech Holdings Inc Measuring and controlling flame quality in real-time
US10746400B2 (en) 2016-06-28 2020-08-18 General Electric Company Integrated flare combustion control
WO2018024321A1 (fr) * 2016-08-02 2018-02-08 Siemens Aktiengesellschaft Unité de surveillance et de commande pour utilisation dans un système autonome avec propriétés d'auto-x
US11262722B2 (en) 2016-08-02 2022-03-01 Siemens Aktiengesellschaft Monitoring and controlling unit for use in an autonomous system with self-x properties
CN106768715A (zh) * 2016-11-28 2017-05-31 上海汽车变速器有限公司 含蓄能器的高压系统泄压时间预估方法及系统
CN106768715B (zh) * 2016-11-28 2019-01-08 上海汽车变速器有限公司 含蓄能器的高压系统泄压时间预估方法及系统

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