CN111717618A - A kind of express bubble counting method, device, computer equipment and storage medium - Google Patents

Abstract

The invention discloses a method, device and computer equipment for expressing bubble counting, that is, a storage medium. The method includes: acquiring package information and package images of each package flowing through an assembly line below the bubble counting device, and obtaining package information and package images through a pre-trained deep learning model. Identify the package image, obtain the quantity information and packaging information of the current package, and determine whether the package information is valid according to the quantity information and the first preset threshold. If the package information is valid, determine the target of calculating the billable weight of the current package according to the package information Calculation rules: Calculate and obtain the billable weight of the current package according to the package information, packaging information and target calculation rules. The invention solves the problem that the existing bubble counter volume measurement technology is sensitive to the outer packaging of the goods (especially when the goods are packed with materials such as fiber sacks), and improves the effectiveness of including the billing weight data.

Description

A kind of express bubble counting method, device, computer equipment and storage medium

technical field

The invention relates to the technical field of physical express billing, in particular to a method, device, computer equipment and storage medium for counting bubbles for express delivery.

Background technique

With the rapid development of the logistics industry, the number of parcels is increasing day by day. Express counting bubble refers to taking the larger of the volume weight of the mail and the actual weight as the billing weight, and then calculating the postage receivable according to the tariff standard. Due to errors in manual measurement sometimes, a bubble counting machine appears, which can directly calculate the freight by measuring the length, width, height and weight of the goods. With the rapid development of express logistics, bubble counting machines are now widely used in the industry. Usually, express logistics companies use the method of setting the bubble counting rack on the automatic assembly line to automatically scan the code, measure the weight and volume of the goods in the assembly line, and settle the freight of the circulating package.

During the operation of the bubble counter, when the package runs to the position of the photoelectric sensor of the bubble counter, the bubble counter starts to scan the code to measure the package. That is, the front and rear parcels are judged by photoelectric triggering to drive the belt under the bubble counting machine to start and stop, so that the front parcel passes through and the rear parcel stops, and the parcels pass through the equipment in a single row.

The above methods usually have the following shortcomings:

1. The existing volume measurement technology of the bubble counter is sensitive to the outer packaging of the goods, especially when the goods are packaged with materials such as fiber sacks, the validity of the volume measurement data is greatly reduced, and the data is extremely controversial in multi-party settlement;

2. When the package flow on the assembly line doubles and the package is congested, the package is prone to sticking. At this time, the photoelectric induction will judge multiple packages as one package. At this time, the scanning measurement data of the bubble counter should be invalid data;

3. When the package is congested, the working method of starting and stopping the bubble counting machine will aggravate the on-site congestion and greatly affect the processing time of the back-end process. The existing solution is to manually switch the operation mode of the assembly line after manual judgment (such as normal operation). mode, pass-through mode, etc.), there is a lag in human processing.

SUMMARY OF THE INVENTION

In order to solve the problems of the prior art, the embodiments of the present invention provide a method, device, computer equipment and storage medium for express bubble counting, so as to overcome the inability to determine whether the scanning measurement data of the bubble counting machine is valid or not when the package is packaged. When there is congestion, the operation mode of the assembly line cannot be switched in time.

In order to solve the above-mentioned one or more technical problems, the technical scheme adopted in the present invention is:

In a first aspect, a method for counting bubbles for express delivery is provided, and the method includes the following steps:

Obtain the package information and package images of each package flowing through the assembly line below the bubble counting device;

Identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package;

Determine whether the package information is valid according to the quantity information and the first preset threshold;

If the package information is valid, determining a target calculation rule for calculating the billable weight of the current package according to the package information;

Calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule.

Further, determining whether the package information is valid according to the quantity information and the first preset threshold includes:

It is judged whether the quantity information satisfies the first preset threshold, and if so, it is judged that the package information is valid, otherwise it is judged that the package information is invalid.

Further, the method also includes:

Calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information;

The operation mode of the assembly line is automatically switched according to the package flow rate and the second preset threshold.

Further, the automatic switching of the operation mode of the assembly line according to the package flow and the second preset threshold includes:

Compare the package flow with the second preset threshold, and if the package flow is greater than the second preset threshold, switch the operation mode of the assembly line to the straight-through mode, otherwise the assembly line will be operated The mode switches to the normal working mode.

In a second aspect, a device for counting bubbles for express delivery is provided, the device comprising:

The first acquisition module is used to acquire the package information and package images of each package flowing on the assembly line below the bubble counting device;

The second acquisition module is used to identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package;

an information judgment module, configured to judge whether the package information is valid according to the quantity information and a first preset threshold;

a rule acquisition module, configured to determine a target calculation rule for calculating the billable weight of the current package according to the package information;

A weight calculation module, configured to calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule.

Further, the information judgment module is specifically used for:

It is judged whether the quantity information satisfies the first preset threshold, and if so, it is judged that the package information is valid, otherwise it is judged that the package information is invalid.

Further, the device also includes:

a flow calculation module, configured to calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information;

The mode switching module is configured to automatically switch the operation mode of the assembly line according to the package flow rate and the second preset threshold.

Further, the mode switching module includes:

a flow comparison unit, configured to compare the package flow with the second preset threshold;

A mode switching unit, configured to switch the operation mode of the assembly line to the straight-through mode if the package flow rate is greater than the second preset threshold, and otherwise switch the operation mode of the assembly line to the normal operation mode.

In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the following steps when executing the computer program:

Obtain the package information and package images of each package flowing through the assembly line below the bubble counting device;

Identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package;

Determine whether the package information is valid according to the quantity information and the first preset threshold;

If the package information is valid, determining a target calculation rule for calculating the billable weight of the current package according to the package information;

Calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule.

In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain the package information and package images of each package flowing through the assembly line below the bubble counting device;

Identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package;

Determine whether the package information is valid according to the quantity information and the first preset threshold;

If the package information is valid, determining a target calculation rule for calculating the billable weight of the current package according to the package information;

Calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule.

The beneficial effects brought by the technical solutions provided in the embodiments of the present invention are:

1. The express bubble counting method, device, computer equipment, and storage medium provided by the embodiment of the present invention, by acquiring the package information and package images of each package flowing through the assembly line below the bubble counting device, through the pre-trained deep learning model. The package image is identified, the quantity information and packaging information of the current package are obtained, and whether the package information is valid is determined according to the quantity information and the first preset threshold, and if the package information is valid, it is determined according to the package information. Calculate the target calculation rule of the billable weight of the current package, calculate and obtain the billable weight of the current package according to the package information, the packaging information and the target calculation rule, and solve the volume measurement of the existing blister machine The problem that the technology is sensitive to the outer packaging of the goods (especially when the goods are packaged with materials such as fiber sacks) improves the validity of the package billing weight data.

2. The express bubble counting method, device, computer equipment, and storage medium provided by the embodiments of the present invention determine whether the quantity information satisfies the first preset threshold, and if so, the package information is determined to be valid, otherwise, it is determined that the package information is valid. The package information is invalid, and the validity of the scanning measurement data of the foam counter can be quickly identified;

3. In the express bubble counting method, device, computer equipment and storage medium provided by the embodiment of the present invention, the package flow currently flowing through the assembly line below the bubble counting device is obtained by calculating according to the quantity information, according to the package flow and The second preset threshold automatically switches the operation mode of the assembly line to avoid congestion of packages and reduce the impact on the processing time of the back-end process.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a flow chart of a method for counting bubbles in express delivery according to an exemplary embodiment;

2 is a schematic structural diagram of an express bubble counting device according to an exemplary embodiment;

FIG. 3 is a schematic diagram of the internal structure of a computer device according to an exemplary embodiment.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

FIG. 1 is a flowchart of a method for counting bubbles in express delivery according to an exemplary embodiment. Referring to FIG. 1 , the method includes the following steps:

S1: Obtain package information and package images of each package flowing through the assembly line below the bubble counting device.

Specifically, in the embodiment of the present invention, a bubble counting device is set up on the automatic assembly line to obtain the package information of each package flowing through the assembly line, wherein the package information includes the volume information of the package, the weight of the package, and the barcode corresponding to the package. and other information. In specific implementation, high-precision dynamic scales, volume measuring instruments, code reading sensors and other devices can be integrated on the bubble counting device, and then the package information of each package flowing through the assembly line can be obtained through these integrated devices. In addition, in the embodiment of the present invention, an image acquisition device, such as a high-resolution color industrial camera, is also provided on the automated assembly line, and each package on the assembly line flowing under the bubble counting device is photographed by the image acquisition device. , to get the package image for each package.

S2: Identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package.

Specifically, in the embodiment of the present invention, the shape of each package is identified through the deep learning technology, so as to determine the quantity and packaging information of the package at the current moment. In specific implementation, a deep learning model can be trained by using pre-prepared training data, and then the package image obtained in the above steps can be recognized by the deep learning model, and the quantity information and packaging information of the current package can be obtained.

S3: Determine whether the package information is valid according to the quantity information and the first preset threshold.

Specifically, in the embodiment of the present invention, a threshold for the number of packages (ie, the first preset threshold) is preset, and then the above-mentioned determination is made by judging whether the current number of packages obtained by the deep learning model meets the first preset threshold. Whether the package information obtained in the step is valid, if the current package quantity information meets the first preset threshold, the package information is determined to be valid, otherwise, the package information is determined to be invalid.

S4: If the package information is valid, determine a target calculation rule for calculating the billable weight of the current package according to the package information.

Specifically, in order to ensure that the billing weight of the current package can be more reasonable, in the embodiment of the present invention, corresponding calculation rules are set in advance for the calculation of the billing weight of the package in various scenarios. Among them, the calculation rule can be defined according to the actual situation, which is not limited here. As an example, the corresponding calculation rule may be set according to the weight and volume of the package. During specific implementation, when it is determined that the package information corresponding to the current package is valid, the weight information and volume information in the package information are obtained, the weight information and volume information are matched with the preset calculation rules, and the billing weight of the current package is obtained. Target calculation rules. For example, when the goods are conventional items (such as clothes, books, etc.), the billing weight of the package is calculated according to the weight information in the package information. , foam, etc.), set to calculate the billing weight of the package according to the volume information in the package information.

Specifically, when setting the calculation rules, when calculating the billable weight of the package according to the weight information in the package information, the actual measured package weight (that is, the weight information in the package information) can be directly used as the billable weight of the current package. A first scale factor can be set for packages in various scenarios according to actual needs, and the billable weight of the current package can be obtained by multiplying the actual measured package weight by the first scale factor. When calculating the billable weight of the package according to the volume information in the package information, a second scale factor can also be set for the package in various scenarios, and the current package's billing weight can be obtained by calculating the volume information in the package information and the second scale factor. fee weight. The first proportional coefficient and the second proportional coefficient can be set by the user according to actual needs, which is not limited here.

S5: Calculate and obtain the billable weight of the current package according to the package information, the package information, and the target calculation rule.

Specifically, since the existing volume measurement technology of the bubble counter is sensitive to the outer packaging of the goods, considering that the packaging materials of different materials will affect the accuracy of the volume information measurement of the package, especially when the goods are packaged with materials such as fiber sacks, the The validity of the volume measurement data will be greatly reduced, resulting in a great controversy over the data in the case of multi-party settlement. Therefore, in this embodiment of the present invention, when calculating the billable weight of the current package, it is also necessary to consider the package of the package to be calculated.

In specific implementation, after the package information is determined to be valid, the package information identified by the deep learning model is used, and the package information is involved in the calculation of the billable weight of the current package. The packaging information includes but is not limited to the material of the packaging and the shape of the packaging. When the material of the packaging and the shape of the packaging box meet the preset conditions, such as the material of the packaging is a carton and the shape of the packaging is a cube, then the current package is calculated The package information does not need to be considered in the total billing amount of the package. When the material of the package does not meet the preset conditions, such as the material of the package is a fiber sack and the shape of the package is irregular, the total billing amount of the current package is calculated. Packaging information needs to be considered. During specific implementation, corresponding ratio values may be set for different packaging materials, and the ratio values may be involved in the calculation of the billable weight of the current package. For example, the measured volume or weight (respectively corresponding to the volume information or weight information in the package information) is converted according to the proportional value, for example, the measured volume or weight is multiplied by the proportional value corresponding to the packaging information. It should be noted here that, in addition to identifying the current package quantity information and packaging information, the package image can also be used as an image certificate to serve as a reliable argument for the settlement of package costs in the handover process.

As a preferred implementation manner, in this embodiment of the present invention, determining whether the package information is valid according to the quantity information and the first preset threshold includes:

It is judged whether the quantity information satisfies the first preset threshold, and if so, it is judged that the package information is valid, otherwise it is judged that the package information is invalid.

Specifically, in order to ensure the accuracy of the package information measured by the bubble counting device, it is usually necessary to separate the packages to be tested and pass through the equipment at certain intervals to obtain the barcode, weight, and size information of each package, so as to achieve one-to-one independence. calculate cost. However, when the package flow on the assembly line is doubled or the package is congested, it is easy to cause the package to stick. At this time, the photoelectric induction will judge multiple packages as one package. At this time, the package information measured by the bubble counter should be Invalid data. Since it is unavoidable that the package flow on the assembly line doubles or the package is congested, in the embodiment of the present invention, the invalid package information measured by the bubble counting machine is set to be identified to ensure the validity of the data in the entire bubble counting process. During specific implementation, a first preset threshold is preset. As an optimal implementation, the first preset threshold is usually set to 1, and then it is judged whether the quantity information satisfies the preset threshold (that is, judging whether the quantity information satisfies the preset threshold). Whether it is 1), if it is satisfied, it means that the number of packages flowing on the assembly line below the bubble counting device at this time is 1, and the package information is determined to be valid at this time; If the number of packages is greater than 1, at this time, although the barcode information of each current package may be accurately identified, the specific weight of each current package cannot be determined, so the package information is determined to be invalid.

As a preferred implementation manner, in this embodiment of the present invention, the method further includes:

Calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information;

The operation mode of the assembly line is automatically switched according to the package flow rate and the second preset threshold.

Specifically, when the package is congested, the working method of starting and stopping the bubble counting machine (referring to the normal working mode, that is, the front and rear packages are judged by photoelectric triggering, to drive the belt under the bubble counting machine to start and stop, so that the front package passes through and the rear package stops. It will aggravate the on-site congestion and greatly affect the processing time of the back-end process. If the operation mode of the assembly line is manually switched after human judgment, it is prone to lag.

In the embodiment of the present invention, a second preset threshold is preset, and then the current flow of the package flowing through the assembly line below the bubble counting device and the second preset threshold are combined to determine whether to switch the current operation mode of the assembly line, so as to realize the assembly line operation mode of automatic switching. In specific implementation, the quantity information identified by the deep learning model in the above steps can be used to count the package flow flowing through the assembly line below the bubble counting device (for example, real-time monitoring of the total number of packages flowing through one minute).

As a preferred implementation manner, in the embodiment of the present invention, the automatic switching of the operation mode of the assembly line according to the package flow rate and the second preset threshold includes:

Compare the package flow with the second preset threshold, and if the package flow is greater than the second preset threshold, switch the operation mode of the assembly line to the straight-through mode, otherwise the assembly line will be operated The mode switches to the normal working mode.

Specifically, the calculated package flow is compared with the second preset threshold. When the package flow is greater than the second preset threshold, it means that the processing efficiency threshold of the bubble counting device is exceeded. At this time, a peak warning should be activated, and Switch the operation mode of the assembly line to the straight-through mode. When the package flow rate is less than or equal to the second preset threshold, it means that the flow rate has dropped to the processing efficiency threshold of the bubble counting device. At this time, the operation mode of the assembly line should be automatically switched back to normal. The working mode ensures the validity of the measurement data of the bubble counting device, and at the same time guarantees the processing efficiency of the pipeline during the peak period.

FIG. 2 is a schematic structural diagram of an express bubble counting device according to an exemplary embodiment. Referring to FIG. 2 , the device includes:

The first acquisition module is used to acquire the package information and package images of each package flowing on the assembly line below the bubble counting device;

The second acquisition module is used to identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package;

an information judgment module, configured to judge whether the package information is valid according to the quantity information and a first preset threshold;

a rule acquisition module, configured to determine a target calculation rule for calculating the billable weight of the current package according to the package information;

A weight calculation module, configured to calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule.

As a preferred implementation manner, in the embodiment of the present invention, the information judgment module is specifically used for:

It is judged whether the quantity information satisfies the preset threshold, and if so, the package information is judged to be valid; otherwise, the package information is judged to be invalid.

As a preferred implementation manner, in this embodiment of the present invention, the device further includes:

a flow calculation module, configured to calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information;

The mode switching module is configured to automatically switch the operation mode of the assembly line according to the package flow rate and the second preset threshold.

As a preferred implementation manner, in this embodiment of the present invention, the mode switching module includes:

a flow comparison unit, configured to compare the package flow with the second preset threshold;

A mode switching unit, configured to switch the operation mode of the assembly line to the straight-through mode if the package flow rate is greater than the second preset threshold, and otherwise switch the operation mode of the assembly line to the normal operation mode.

FIG. 3 is a schematic diagram of the internal structure of a computer device according to an exemplary embodiment. Referring to FIG. 3 , the computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium, an internal memory. The nonvolatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. The computer program when executed by a processor implements an optimization method of an execution plan.

Those skilled in the art can understand that the structure shown in FIG. 3 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer equipment to which the solution of the present invention is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

As a preferred implementation, in this embodiment of the present invention, the computer device includes a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the following steps when executing the computer program:

Obtain the package information and package images of each package flowing through the assembly line below the bubble counting device;

Identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package;

Determine whether the package information is valid according to the quantity information and the first preset threshold;

If the package information is valid, determining a target calculation rule for calculating the billable weight of the current package according to the package information;

Calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule.

As a preferred implementation manner, in this embodiment of the present invention, the processor also implements the following steps when executing the computer program:

It is judged whether the quantity information satisfies the first preset threshold, and if so, the package information is judged to be valid; otherwise, the package information is judged to be invalid.

As a preferred implementation manner, in this embodiment of the present invention, the processor also implements the following steps when executing the computer program:

Calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information;

The operation mode of the assembly line is automatically switched according to the package flow rate and the second preset threshold.

As a preferred implementation manner, in this embodiment of the present invention, the processor also implements the following steps when executing the computer program:

Compare the package flow with the second preset threshold, and if the package flow is greater than the second preset threshold, switch the operation mode of the assembly line to the straight-through mode, otherwise the assembly line will be operated The mode switches to the normal working mode.

In the embodiment of the present invention, a computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Obtain the package information and package images of each package flowing through the assembly line below the bubble counting device;

Identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package;

Determine whether the package information is valid according to the quantity information and the first preset threshold;

If the package information is valid, determining a target calculation rule for calculating the billable weight of the current package according to the package information;

Calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule.

As a preferred implementation manner, in this embodiment of the present invention, when the computer program is executed by the processor, the following steps are further implemented:

It is judged whether the quantity information satisfies the first preset threshold, and if so, the package information is judged to be valid; otherwise, the package information is judged to be invalid.

As a preferred implementation manner, in this embodiment of the present invention, when the computer program is executed by the processor, the following steps are further implemented:

Calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information;

The operation mode of the assembly line is automatically switched according to the package flow rate and the second preset threshold.

As a preferred implementation manner, in this embodiment of the present invention, when the computer program is executed by the processor, the following steps are further implemented:

Compare the package flow with the second preset threshold, and if the package flow is greater than the second preset threshold, switch the operation mode of the assembly line to the straight-through mode, otherwise the assembly line will be operated The mode switches to the normal working mode.

To sum up, the beneficial effects brought by the technical solutions provided in the embodiments of the present invention are:

1. The express bubble counting method, device, computer equipment, and storage medium provided by the embodiment of the present invention, by acquiring the package information and package images of each package flowing through the assembly line below the bubble counting device, through the pre-trained deep learning model. The package image is identified, the quantity information and packaging information of the current package are obtained, and whether the package information is valid is determined according to the quantity information and the first preset threshold, and if the package information is valid, it is determined according to the package information. Calculate the target calculation rule of the billable weight of the current package, calculate and obtain the billable weight of the current package according to the package information, the packaging information and the target calculation rule, and solve the volume measurement of the existing blister machine The problem that the technology is sensitive to the outer packaging of the goods (especially when the goods are packaged with materials such as fiber sacks) improves the validity of the package billing weight data.

2. The express bubble counting method, device, computer equipment, and storage medium provided by the embodiments of the present invention determine whether the quantity information satisfies the first preset threshold, and if so, the package information is determined to be valid, otherwise, it is determined that the package information is valid. The package information is invalid, and the validity of the scanning measurement data of the foam counter can be quickly identified;

3. In the express bubble counting method, device, computer equipment and storage medium provided by the embodiment of the present invention, the package flow currently flowing through the assembly line below the bubble counting device is obtained by calculating according to the quantity information, according to the package flow and The second preset threshold automatically switches the operation mode of the assembly line to avoid congestion of packages and reduce the impact on the processing time of the back-end process.

It should be noted that when the bubble counting device for express delivery provided by the above embodiment triggers the bubble counting service, only the division of the above functional modules is used as an example for illustration. In practical applications, the above functions can be allocated to different functional modules as required. To complete, that is, to divide the internal structure of the device into different functional modules to complete all or part of the functions described above. In addition, the express bubble counting device and the express express bubble counting method provided in the above embodiments belong to the same concept, that is, the device is based on the express express bubble counting method, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

Those of ordinary skill in the art can understand that all or part of the steps of implementing the above embodiments can be completed by hardware, or can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, etc.

The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.

Claims (10)

1. a method for counting bubbles by express, is characterized in that, described method comprises the steps: Obtain the package information and package images of each package flowing through the assembly line below the bubble counting device; Identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package; Determine whether the package information is valid according to the quantity information and the first preset threshold; If the package information is valid, determining a target calculation rule for calculating the billable weight of the current package according to the package information; Calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule. 2. The express bubble counting method according to claim 1, wherein the judging whether the package information is valid according to the quantity information and the first preset threshold value comprises: It is judged whether the quantity information satisfies the first preset threshold, and if so, it is judged that the package information is valid, otherwise it is judged that the package information is invalid. 3. The method for counting bubbles for express delivery according to claim 1 or 2, wherein the method further comprises: Calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information; The operation mode of the assembly line is automatically switched according to the package flow rate and the second preset threshold. 4 . The method for counting bubbles for express delivery according to claim 3 , wherein the automatic switching of the operation mode of the assembly line according to the package flow rate and a second preset threshold value comprises: 5 . Compare the package flow with the second preset threshold, and if the package flow is greater than the second preset threshold, switch the operation mode of the assembly line to the straight-through mode, otherwise the assembly line will be operated The mode switches to the normal working mode. 5. A device for counting bubbles for express delivery, wherein the device comprises: The first acquisition module is used to acquire the package information and package images of each package flowing on the assembly line below the bubble counting device; The second acquisition module is used to identify the package image through a pre-trained deep learning model, and obtain the quantity information and packaging information of the current package; an information judgment module, configured to judge whether the package information is valid according to the quantity information and a first preset threshold; a rule acquisition module, configured to determine a target calculation rule for calculating the billable weight of the current package according to the package information; A weight calculation module, configured to calculate and obtain the billable weight of the current package according to the package information, the package information and the target calculation rule. 6. The express bubble counting device according to claim 5, wherein the information judgment module is specifically used for: It is judged whether the quantity information satisfies the preset threshold, and if so, the package information is judged to be valid; otherwise, the package information is judged to be invalid. 7. The express bubble counting device according to claim 5 or 6, wherein the device further comprises: a flow calculation module, configured to calculate and obtain the package flow currently flowing through the assembly line below the bubble counting device according to the quantity information; The mode switching module is configured to automatically switch the operation mode of the assembly line according to the package flow rate and the second preset threshold. 8. The express bubble counting device according to claim 7, wherein the mode switching module comprises: a flow comparison unit, configured to compare the package flow with the second preset threshold; A mode switching unit, configured to switch the operation mode of the assembly line to the straight-through mode if the package flow rate is greater than the second preset threshold, and otherwise switch the operation mode of the assembly line to the normal operation mode. 9. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements any one of claims 1 to 4 when the processor executes the computer program. A step of the method. 10. A computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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