Operation monitoring system and method for motor assembly production line

Abstract

The present invention belongs to the technical field of smart factories. An operation monitoring system and method for a motor assembly production line are provided. The method comprises: identifying a first type of motor being assembled on the motor assembly production line, and retrieving a corresponding first monitoring rule set; performing abnormal monitoring on the corresponding first assembly equipment based on each first monitoring rule set, and obtaining a first abnormal monitoring result; determining the second type of the adjacent motor to be assembled based on the production information of the first type of motor being assembled, determining each second assembly equipment on the motor assembly production line, and retrieving the corresponding second monitoring rule set; performing abnormal monitoring on the corresponding second assembly equipment based on the second monitoring rule set, and obtaining a second abnormal monitoring result; and deciding whether to generate an operation abnormality alarm signal based on the abnormal monitoring result. The present invention can complete the switching of the monitoring rule set in a timely manner according to the switching of the assembled motor type, and realize continuous monitoring of the motor assembly production line.

Description

Technical Field

[0001] The present invention relates to the technical field of smart factories, and in particular to an operation monitoring system and method for a motor assembly production line. Background Art

[0002] Shaded pole motor and ECM motor are two types of motors with a wide range of application scenarios. Shaded pole motor is a single-phase AC motor characterized by a copper short-circuit ring installed on the magnetic pole of the stator. This short-circuit ring is called a shaded pole coil. ECM motor (ECM constant torque motor) is a permanent magnet brushless motor with the characteristics of constant torque output. Shaded pole motors are favored for their simple structure, low cost and wide application, while ECM motors show advantages in specific applications with their high efficiency, low noise and intelligent management.

[0003] Currently, many factories use motor assembly production lines to produce shaded-pole motors and ECM motors, and monitoring the operating status of motor assembly production lines is the key to ensuring the stable operation of motor assembly production lines. Traditional motor assembly production lines are used to produce one type of motor, and the monitoring system only needs to configure one set of monitoring rules to monitor the operating status of the motor assembly production line, that is, to monitor whether there are any non-compliant erroneous production actions, and then generate alarm information.

[0004] In order to improve production efficiency and reduce production costs, multifunctional motor assembly production lines have become popular. Multifunctional motor assembly production lines refer to production lines that can automatically / semi-automatically assemble various types of motors, such as shaded-pole motors and ECM motors. However, the prior art currently does not have a reasonable monitoring method for the operating status of such multifunctional motor assembly production lines, resulting in the inability to timely identify abnormal operating conditions of the multifunctional motor assembly production lines. Summary of the invention

[0005] In view of the above technical problems, the present invention provides an operation monitoring method, system, electronic device, computer storage medium and computer program product for a motor assembly production line to improve the efficiency and usability of the operation monitoring of the motor assembly production line.

[0006] The present invention discloses an operation monitoring method for a motor assembly production line, the method comprising the following steps: identifying a first type of motor being assembled on the motor assembly production line, determining a first monitoring rule set for each first assembly device on the motor assembly production line according to the first type; performing abnormal monitoring on the corresponding first assembly device based on each of the first monitoring rule sets to obtain a first abnormal monitoring result; determining a second type of an adjacent motor to be assembled based on production information of the first type of motor being assembled, determining each second assembly device on the motor assembly production line according to the second type, and retrieving a second monitoring rule set for each second assembly device; performing abnormal monitoring on the corresponding second assembly device based on the second monitoring rule set to obtain a second abnormal monitoring result; and deciding whether to generate an operation abnormality alarm signal based on the first abnormal monitoring result and the second abnormal monitoring result.

[0007] Optionally, the identifying the first type of the motor being assembled on the motor assembly production line includes: capturing first image data at a third assembly device of the motor assembly production line, and extracting a first image feature of the motor from the first image data; wherein the third assembly device is located at an end node of the motor assembly production line; comparing the first image feature with complete image features of each motor in a database to obtain the first type of the motor being assembled; wherein each complete image feature of the motor corresponds to a type of motor.

[0008] Optionally, if it is determined that the first image data at the third assembly equipment of the motor assembly production line cannot be captured, then the identification of the first type of the motor being assembled on the motor assembly production line includes: capturing the second image data at each fourth assembly equipment that can be captured on the motor assembly production line, and extracting a number of second image features from each of the second image data; wherein the fourth assembly equipment is located at a non-end node of the motor assembly production line; comparing each of the second image features with each motor complete image feature in the database to obtain a number of preliminary matching values, weightedly fusion each of the preliminary matching values ​​belonging to the same motor complete image feature to obtain a target matching value corresponding to the motor complete image feature; and determining the motor type corresponding to the motor complete image feature corresponding to the largest target matching value as the first type of the motor being assembled.

[0009] Optionally, before weighted fusion of the preliminary matching values ​​belonging to the same complete image feature of the motor is performed to obtain the target matching value corresponding to the complete image feature of the motor, the method further includes: determining the total number of first equipment, i.e., fourth assembly equipment, which is in operation on the motor assembly line, determining a starting weight based on the total number of the first equipment, and gradually adding weight intervals based on the starting weight to obtain a weight set; wherein the weight set includes several weights including the starting weight, and the number of weights corresponds to the total number of the first equipment; and sequentially allocating the weights to the preliminary matching values ​​corresponding to the fourth assembly equipment; wherein, the closer the fourth assembly equipment is to the terminal assembly node, the greater the weight allocated to the corresponding preliminary matching value, and the farther the fourth assembly equipment is from the terminal assembly node, the smaller the weight allocated to the corresponding preliminary matching value.

[0010] Optionally, the method of determining the second type of adjacent motor to be assembled based on production information of the first type of motor being assembled includes: obtaining motor assembly task scheduling information, and determining the second type of adjacent motor to be assembled from the motor assembly task scheduling information based on the first type of motor being assembled; determining the assembly time node of the second type of adjacent motor to be assembled based on production information of the first type of motor, and configuring configuration instructions of a second monitoring rule set for the assembly time node.

[0011] Optionally, determining each second assembly equipment on the motor assembly line according to the second type and retrieving the second monitoring rule set for each second assembly equipment includes: determining each second assembly equipment on the motor assembly line according to the second type, determining the total number of second equipment of the second assembly equipment, determining a time correction coefficient according to the total number of the second equipment, and using the time correction coefficient to advance the assembly time node; and configuring the configuration instructions of the second monitoring rule set based on the assembly time node after the advance processing.

[0012] The present invention also discloses an operation monitoring system for a motor assembly production line, the system comprising a processing device and a storage device, the computer code stored in the storage device being called and executed by the processing device to implement the following steps: identifying a first type of motor being assembled on the motor assembly production line, and determining a first monitoring rule set for each first assembly device on the motor assembly production line according to the first type; performing abnormal monitoring on the corresponding first assembly device based on each of the first monitoring rule sets to obtain a first abnormal monitoring result; determining a second type of adjacent motor to be assembled based on production information of the first type of motor being assembled, and determining each of the second assembly devices on the motor assembly production line according to the second type, and retrieving a second monitoring rule set for each of the second assembly devices; performing abnormal monitoring on the corresponding second assembly device based on the second monitoring rule set to obtain a second abnormal monitoring result; and deciding whether to generate an operation abnormality alarm signal based on the first abnormal monitoring result and the second abnormal monitoring result.

[0013] The present invention also discloses an electronic device, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement any of the above methods.

[0014] The present invention also discloses a computer storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement any of the above methods.

[0015] The present invention also discloses a computer program product, which includes computer codes. When the computer codes are executed by a processor of an electronic device, any of the above methods is implemented.

[0016] The beneficial effects of the present invention are: 1) The solution of the present invention can determine the corresponding assembly equipment according to the type of motor to be assembled, and further call the monitoring rule set corresponding to these assembly equipment, so as to realize targeted monitoring and identification of whether there are any abnormalities in the operation of these assembly equipment.

[0017] 2) The present invention can also determine the second type of motor to be assembled based on the production information of the first type of motor being assembled, so as to configure the monitoring rule set for the corresponding second assembly equipment in a timely manner, so that when the type of motor being assembled is switched, the monitoring rule set can be switched in time, thereby realizing continuous monitoring of the motor assembly production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a flow chart of an operation monitoring method of a motor assembly production line disclosed in an embodiment of the present invention.

[0020] Figure 2 It is a flow chart of a method for identifying a first type of motor being assembled on a motor assembly production line disclosed in an embodiment of the present invention.

[0021] Figure 3 It is a structural schematic diagram of an operation monitoring system for a motor assembly production line disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0023] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0024] like Figure 1 As shown, an embodiment of the present invention discloses an operation monitoring method for a motor assembly production line, the method comprising the following steps: identifying a first type of motor being assembled on the motor assembly production line, and determining a first monitoring rule set for each first assembly device on the motor assembly production line according to the first type; performing abnormal monitoring on the corresponding first assembly device based on each of the first monitoring rule sets to obtain a first abnormal monitoring result; determining a second type of an adjacent motor to be assembled based on production information of the first type of motor being assembled, and determining each second assembly device on the motor assembly production line according to the second type, and retrieving a second monitoring rule set for each second assembly device; performing abnormal monitoring on the corresponding second assembly device based on the second monitoring rule set to obtain a second abnormal monitoring result; and deciding whether to generate an operation abnormality alarm signal based on the first abnormal monitoring result and the second abnormal monitoring result.

[0025] The solution of the present invention is specifically used for a multi-purpose motor assembly production line, which can be used to produce shaded-pole motors and ECM motors at the same time, and can monitor and alarm whether there are any abnormalities in the operation status of the multi-purpose motor assembly production line. Specifically, the first type of motor being assembled on the motor assembly production line (such as a shaded-pole motor) is first identified, and the first monitoring rule set of each first assembly equipment on the motor assembly production line is determined based on the first type. Each first monitoring rule set can be used to perform abnormal monitoring on each first assembly equipment to obtain a first abnormal monitoring result. The first abnormal monitoring result includes normal operation and abnormal operation. Among them, the first monitoring rule set and the second monitoring rule set described below contain judgment methods for several non-compliant assembly behaviors for specific assembly equipment, such as insufficient glue coating, insufficient number of solder joints, etc.

[0026] At the same time, the second type of motor (for example, an ECM motor) to be assembled next is determined based on the production information of the first type of motor being assembled, and the second assembly equipment on the motor assembly line is determined based on the second type, and the second monitoring rule set for each second assembly equipment is retrieved. Based on the second monitoring rule set, the corresponding second assembly equipment is monitored for abnormalities to obtain a second abnormal monitoring result. The second abnormal monitoring result also includes normal operation and abnormal operation. Among them, the multi-purpose motor assembly line includes, for example, multiple assembly equipment. When assembling the first type of motor, for example, 6 of the assembly equipment are needed, and these assembly equipment are the first assembly equipment; and when assembling the second type of motor, for example, 8 of the assembly equipment are needed, and these assembly equipment are the second assembly equipment. Pre-configure corresponding types of assembly equipment for different types of motors and construct a comparison table.

[0027] Finally, if any of the first abnormal monitoring result and the second abnormal monitoring result indicates abnormal operation, a decision is made to generate an abnormal operation alarm signal to remind the staff to perform timely disposal and maintenance.

[0028] Therefore, the solution of the present invention can determine the corresponding assembly equipment according to the type of motor to be assembled, and further retrieve the monitoring rule sets corresponding to these assembly equipment, so as to realize targeted monitoring and identification of whether there are abnormalities in the operation of these assembly equipment. At the same time, the present invention can also determine the second type of motor to be assembled next based on the production information of the first type of motor being assembled, so as to configure the monitoring rule set for each corresponding second assembly equipment in a timely manner, so as to realize the switching of the monitoring rule set in time when the type of motor to be assembled is switched, so as to realize the continuous monitoring of the motor assembly production line.

[0029] Optionally, the identifying the first type of the motor being assembled on the motor assembly production line includes: capturing first image data at a third assembly device of the motor assembly production line, and extracting a first image feature of the motor from the first image data; wherein the third assembly device is located at an end node of the motor assembly production line; comparing the first image feature with complete image features of each motor in a database to obtain the first type of the motor being assembled; wherein each complete image feature of the motor corresponds to a type of motor.

[0030] In this embodiment, there are multiple assembly nodes on the motor assembly production line, and each assembly device is dedicated to completing specific assembly operations in sequence. Since the motor at the end node of the motor assembly production line is an assembled motor, the other assembly nodes are semi-finished motors in the assembly process. Therefore, the present invention controls the camera to capture the first image data at the end node of the motor assembly production line, i.e., the third assembly device, and extracts the first image feature of the motor from the first image data; then the first image feature is similarly compared with the complete image features of each motor pre-stored in the database, so as to obtain the first type of the motor being assembled, such as a shaded pole motor or an ECM motor.

[0031] Alternatively, if Figure 2 As shown, if it is determined that the first image data at the third assembly equipment of the motor assembly production line cannot be photographed, then the identification of the first type of the motor being assembled on the motor assembly production line includes: photographing the second image data at each fourth assembly equipment that can be photographed on the motor assembly production line, and extracting a number of second image features from each of the second image data; wherein the fourth assembly equipment is located at a non-end node of the motor assembly production line; comparing each of the second image features with each motor complete image feature in the database to obtain a number of preliminary matching values, weightedly fusion each of the preliminary matching values ​​belonging to the same motor complete image feature to obtain a target matching value corresponding to the motor complete image feature; and determining the motor type corresponding to the motor complete image feature corresponding to the largest target matching value as the first type of the motor being assembled.

[0032] In this embodiment, due to factors such as the camera's placement position or the camera's shooting angle being disturbed by external forces, the camera may not actually be able to capture the first image data at the third assembly equipment at the end node of the motor assembly production line, and it is also impossible to perform an overall similarity comparison between the first image features of the assembled motor and the complete image features of each type of motor preset in the database.

[0033] In response to the above technical problems, the present invention is set to capture the second image data of each fourth assembly device that can be captured at a non-terminal node on the motor assembly production line, and extract the second image features of the motor from each second image data using the same extraction method as the first image feature (for example, through a convolutional network). Then, each second image feature is compared with each complete image feature of the motor in the database to obtain a number of preliminary matching values ​​corresponding to each complete image feature of the motor, and each preliminary matching value belonging to the same complete image feature of the motor is weighted and fused to obtain the target matching value corresponding to the complete image feature of the motor. Finally, the motor type corresponding to the complete image feature of the motor corresponding to the largest target matching value is determined as the first type of the motor being assembled. With such a configuration, the scheme of the present invention realizes indirect analysis based on the image features of the motor during the assembly process to obtain the type of motor being assembled on the motor assembly production line.

[0034] It should be noted that the complete image features of each motor in the database include both the appearance features of the assembled motor and its internal features. For example, the complete image features of the motor may be 3D image features.

[0035] Optionally, before weighted fusion of the preliminary matching values ​​belonging to the same complete image feature of the motor is performed to obtain the target matching value corresponding to the complete image feature of the motor, the method further includes: determining the total number of first equipment, i.e., fourth assembly equipment, which is in operation on the motor assembly line, determining a starting weight based on the total number of the first equipment, and gradually adding weight intervals based on the starting weight to obtain a weight set; wherein the weight set includes several weights including the starting weight, and the number of weights corresponds to the total number of the first equipment; and sequentially allocating the weights to the preliminary matching values ​​corresponding to the fourth assembly equipment; wherein, the closer the fourth assembly equipment is to the terminal assembly node, the greater the weight allocated to the corresponding preliminary matching value, and the farther the fourth assembly equipment is from the terminal assembly node, the smaller the weight allocated to the corresponding preliminary matching value.

[0036] In this embodiment, when performing weighted fusion calculation, it is necessary to first determine the weight of the preliminary matching value corresponding to each fourth assembly device. Specifically, first identify the assembly devices in operation on the motor assembly line, which are the fourth assembly devices, and determine the starting weight (for example, 0.3) according to the total number of the first devices of the fourth assembly device. The starting weight is assigned to the preliminary matching value corresponding to the fourth assembly device located at the starting node of the motor assembly line; at the same time, add a weight interval (for example, 0.1) to the starting weight, and assign the intermediate weight to the preliminary matching value corresponding to the first adjacent fourth assembly device located downstream of the starting node of the motor assembly line; and so on, complete the configuration of the weighted weights of all fourth assembly devices. Obviously, the closer the fourth assembly device is to the terminal assembly node, the higher the assembly completeness of the motor is, the greater the weight assigned to the corresponding preliminary matching value, that is, the confidence of its preliminary matching value is improved; the farther the fourth assembly device is from the terminal assembly node, the lower the assembly completeness of the motor is, the smaller the weight assigned to the corresponding preliminary matching value is, that is, the confidence of its preliminary matching value is reduced.

[0037] Among them, the motor assembly production line can either perform complete assembly of the motor from scratch or assemble the semi-finished motor that has been assembled (and the initial completeness of the semi-finished motor that needs to be assembled is also different), which will lead to different total numbers of first equipment of the fourth assembly equipment in operation on the motor assembly production line. Generally speaking, the more total numbers of first equipment of the fourth assembly equipment required for the complete assembly of the motor from scratch, the lower the completeness of the motor at the starting node at this time; and the fewer total numbers of first equipment of the fourth assembly equipment required for the assembly of the semi-finished motor (further, the higher the initial completeness of the semi-finished motor that needs to be assembled, the fewer total numbers of first equipment of the corresponding fourth assembly equipment), the higher the completeness of the motor at the starting node at this time. In view of the above actual situation, the present invention sets the starting weight and the total number of first equipment to meet the negative correlation, that is, the more the total number of first equipment of the fourth assembly equipment, the smaller the starting weight is set, and vice versa.

[0038] Optionally, the method of determining the second type of adjacent motor to be assembled based on production information of the first type of motor being assembled includes: obtaining motor assembly task scheduling information, and determining the second type of adjacent motor to be assembled from the motor assembly task scheduling information based on the first type of motor being assembled; determining the assembly time node of the second type of adjacent motor to be assembled based on production information of the first type of motor, and configuring configuration instructions of a second monitoring rule set for the assembly time node.

[0039] In this embodiment, the motor assembly production line performs assembly operations based on the motor assembly task scheduling information, and the motor assembly task scheduling information can be stored in a remote server or a local server of the manufacturer, such as a production management system. The motor assembly task scheduling information includes the assembly order and assembly quantity of multiple types of motors. According to the first type of motor being assembled, the second type of motor to be assembled next can be directly determined from the motor assembly task scheduling information. And, according to the production information of the first type of motor (such as the number of completed assemblies, the number of assemblies being assembled on the motor assembly production line), the assembly end time node of the first type of motor is roughly determined, thereby determining the assembly time node of the adjacent motor to be assembled of the second type. At this time, the configuration instruction of the second monitoring rule set is configured for the assembly time node, and the configuration instruction is used to obtain the second monitoring rule set from the server when the assembly time node is reached, and associate each second monitoring rule set with each assembly device, so that the operation of the corresponding assembly device is abnormally identified according to each second monitoring rule set.

[0040] Among them, the second monitoring rule set and the first monitoring rule set are both stored in the server, and the operation monitoring system can retrieve them according to the motor type (ie, the first type, the second type), and then associate them with the corresponding assembly equipment.

[0041] Optionally, determining each second assembly equipment on the motor assembly line according to the second type and retrieving the second monitoring rule set for each second assembly equipment includes: determining each second assembly equipment on the motor assembly line according to the second type, determining the total number of second equipment of the second assembly equipment, determining a time correction coefficient according to the total number of the second equipment, and using the time correction coefficient to advance the assembly time node; and configuring the configuration instructions of the second monitoring rule set based on the assembly time node after the advance processing.

[0042] In this embodiment, it takes a certain amount of time for the operation monitoring system to retrieve the second monitoring rule set from the server. In order to ensure that the second monitoring rule set has been configured before the second type of motor enters the motor assembly production line, the assembly time node (i.e., the assembly end time node of the first type of motor) needs to be processed in advance. Specifically, first, the second assembly equipment that needs to participate in the assembly is determined based on the second type of adjacent motors to be assembled, and the time correction coefficient is determined based on the total number of second equipment of these second assembly equipment. There is a negative correlation between the time correction coefficient and the total number of second equipment, that is, the more the total number of second equipment, the longer it takes to obtain the second monitoring rule set, and the smaller the time correction coefficient, so that the assembly time node can be advanced to a greater extent. The assembly time node is processed in advance using the time correction coefficient, and the configuration instructions of the second monitoring rule set are configured based on the assembly time node processed in advance.

[0043] like Figure 3 As shown, the embodiment of the present invention also discloses an operation monitoring system for a motor assembly production line, the system includes a processing device and a storage device, the computer code stored in the storage device is called and executed by the processing device to implement the following steps: identifying the first type of motor being assembled on the motor assembly production line, determining the first monitoring rule set of each first assembly device on the motor assembly production line according to the first type; performing abnormal monitoring on the corresponding first assembly device based on each first monitoring rule set to obtain a first abnormal monitoring result; determining the second type of the adjacent motor to be assembled according to the production information of the first type of motor being assembled, determining each second assembly device on the motor assembly production line according to the second type, and calling the second monitoring rule set of each second assembly device; performing abnormal monitoring on the corresponding second assembly device based on the second monitoring rule set to obtain a second abnormal monitoring result; and deciding whether to generate an abnormal operation alarm signal according to the first abnormal monitoring result and the second abnormal monitoring result. The embodiment of the present invention also discloses an electronic device, including: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor executing the computer program to implement the method described in the above embodiment.

[0044] An embodiment of the present invention further discloses a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program is executed by a processor to implement the method described in the above embodiment.

[0045] An embodiment of the present invention further discloses a computer program product, which includes computer code. When the computer code is executed by a processor of an electronic device, the method described in the above embodiment is implemented.

[0046] The computer-readable storage medium described above may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the above. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media may include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0047] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0048] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring the operation of a motor assembly production line, characterized in that: include: Identify the first type of motor being assembled on the motor assembly line, and determine a first monitoring rule set for each first assembly device on the motor assembly line based on the first type; perform abnormal monitoring on the corresponding first assembly device based on each first monitoring rule set to obtain a first abnormal monitoring result; determine a second type of adjacent motor to be assembled based on production information of the first type of motor being assembled, determine each second assembly device on the motor assembly line based on the second type, and retrieve a second monitoring rule set for each second assembly device; perform abnormal monitoring on the corresponding second assembly device based on the second monitoring rule set to obtain a second abnormal monitoring result; Determine whether to generate an abnormal operation alarm signal according to the first abnormal monitoring result and the second abnormal monitoring result; Identifying a first type of a motor being assembled on a motor assembly production line, comprising: photographing first image data at a third assembly device of the motor assembly production line, and extracting a first image feature of the motor therefrom; the third assembly device is located at an end node of the motor assembly production line; comparing the first image feature with complete image features of each motor in a database, and obtaining the first type of the motor being assembled; one complete image feature of the motor corresponds to one type of motor; If it is determined that the first image data at the third assembly equipment of the motor assembly production line cannot be captured, the second image data at each fourth assembly equipment that can be captured on the motor assembly production line is captured, and a number of second image features are extracted therefrom; the fourth assembly equipment is located at a non-end node of the motor assembly production line; each second image feature is compared with each motor complete image feature in the database to obtain a number of preliminary matching values, and the preliminary matching values ​​belonging to the same motor complete image feature are weightedly fused to obtain a target matching value corresponding to the motor complete image feature; the motor type corresponding to the motor complete image feature corresponding to the maximum target matching value is determined as the first type of the motor being assembled.

2. The operation monitoring method of a motor assembly production line according to claim 1, characterized in that: Before weighted fusion of the preliminary matching values ​​belonging to the same complete image feature of the motor is performed to obtain the target matching value corresponding to the complete image feature of the motor, the method further includes: determining the total number of first devices of the fourth assembly devices that are in operation on the motor assembly line, determining a starting weight based on the total number of the first devices, and gradually adding weight intervals based on the starting weight to obtain a weight set; wherein the weight set includes several weights including the starting weight, and the number of weights corresponds to the total number of the first devices; allocating each weight in turn to the preliminary matching value corresponding to each fourth assembly device; wherein the closer the fourth assembly device is to the terminal assembly node, the greater the weight allocated to the corresponding preliminary matching value, and the farther the fourth assembly device is from the terminal assembly node, the smaller the weight allocated to the corresponding preliminary matching value.

3. The operation monitoring method of a motor assembly production line according to claim 2, characterized in that: Determining a second type of adjacent motor to be assembled based on production information of a first type of motor being assembled includes: obtaining motor assembly task scheduling information, and determining a second type of adjacent motor to be assembled from the motor assembly task scheduling information based on the first type of motor being assembled; determining an assembly time node of a second type of adjacent motor to be assembled based on production information of the first type of motor, and configuring configuration instructions of a second monitoring rule set for the assembly time node.

4. The operation monitoring method of a motor assembly production line according to claim 3, characterized in that: Determine each second assembly device on the motor assembly line according to the second type, and call the second monitoring rule set for each second assembly device, including: determine each second assembly device on the motor assembly line according to the second type, determine the total number of second devices of the second assembly devices, determine a time correction coefficient according to the total number of second devices, and use the time correction coefficient to advance the assembly time node; configure the configuration instructions of the second monitoring rule set based on the assembly time node after the advance processing.

5. An operation monitoring system for a motor assembly production line, the system being based on the method according to any one of claims 1 to 4, the system comprising a processing device and a storage device, and characterized in that: The computer code stored in the storage device is called and executed by the processing device to implement the following steps: identifying a first type of motor being assembled on a motor assembly production line, determining a first monitoring rule set for each first assembly device on the motor assembly production line based on the first type; performing abnormal monitoring on the corresponding first assembly device based on each of the first monitoring rule sets to obtain a first abnormal monitoring result; determining a second type of an adjacent motor to be assembled based on production information of the first type of motor being assembled, determining each second assembly device on the motor assembly production line based on the second type, and retrieving a second monitoring rule set for each second assembly device; performing abnormal monitoring on the corresponding second assembly device based on the second monitoring rule set to obtain a second abnormal monitoring result; Whether to generate an abnormal operation alarm signal is determined according to the first abnormality monitoring result and the second abnormality monitoring result.

6. An electronic device comprising: At least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 4.

7. A computer storage medium storing a computer program, characterized in that: The computer program is executed by a processor to implement the method according to any one of claims 1 to 4.

8. A computer program product, characterized in that: The computer program product includes computer codes, and when the computer codes are executed by a processor of an electronic device, the method according to any one of claims 1 to 4 is implemented.

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