Intelligent manufacturing method and system based on MES system integration and storage medium

Abstract

The invention provides an intelligent manufacturing method and system based on MES system integration and a storage medium, and the method comprises the steps: firstly, judging whether first electric quantity information exceeds a preset electric quantity threshold value, if not, controlling a battery module to enter a first operation station, and if yes, obtaining first voltage information; then, whether the first voltage information exceeds a first voltage threshold value or not is judged, if not, the battery module is controlled to enter a second operation station, and if yes, first discharging information is obtained; and finally, judging whether the battery module is in a stable discharge state or not according to the first discharge information, if not, controlling the battery module to enter a third operation station, and if yes, completing the current detection process. According to the invention, the detection process is managed through the MES system, so that high rework cost is avoided; besides, an adjustment scheme is provided by analyzing reasons for abnormity of the battery module, so that the production and manufacturing efficiency of the energy storage equipment is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent manufacturing, and more specifically, to an intelligent manufacturing method, system and storage medium based on MES system integration. Background Art

[0002] MES (Manufacturing Execution System), the manufacturing enterprise production process execution management system, is a production information management system for the workshop execution layer of manufacturing enterprises. MES system provides timely and accurate data support for the production decision of enterprises by real-time monitoring of production site conditions, collecting production data, analyzing production progress and resource consumption information.

[0003] The energy storage EMS system (Energy Management System) collects real-time data of the energy storage system, including key parameters such as battery state of charge, health status, ambient temperature, charge and discharge current and voltage.

[0004] In the production and manufacturing of energy storage equipment, assembly problems of battery modules are usually discovered only when they are installed in the equipment and the whole machine is tested, which seriously affects production efficiency and causes high rework costs. Therefore, there is an urgent need for an intelligent manufacturing technology based on MES system integration. Summary of the invention

[0005] In view of the above problems, the purpose of the present invention is to provide an intelligent manufacturing method, system and storage medium based on MES system integration, which adopts MES system to control the detection process of battery modules on the production line of energy storage equipment. First, the key parameters of the battery module are collected by bus communication using the energy storage EMS system; then, the assembly integrity and discharge performance of the battery module are evaluated by processing and optimizing the real-time data of the battery module; finally, the battery modules that do not meet the standards are sent to the designated workstations and set with corresponding mark information; that is, the detection process is carried out before the battery module is installed on the energy storage equipment to avoid high rework costs; in addition, by analyzing the causes of abnormalities in the battery module, adjustment plans are provided to improve the efficiency of energy storage equipment production and manufacturing.

[0006] A first aspect of the present invention provides an intelligent manufacturing method based on MES system integration, the method comprising: Acquire first power information and first coding information; Determining whether the first power information exceeds a preset power threshold; If not, control to enter the first operating station, and set the first flag information according to the first coding information; If yes, obtaining first voltage information; Determining whether the first voltage information exceeds a preset first voltage threshold; If not, control to enter the second operating station, and set the second flag information according to the first coding information; If yes, obtaining first discharge information; determining whether the discharge is in a stable state according to the first discharge information; If not, control to enter the third operating station, and set the third flag information according to the first coding information; If so, the control proceeds to the next operation process.

[0007] In this solution, judging whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; Obtaining first discharge mean value information according to the first discharge sequence; Obtaining a first discharge deviation value according to the first discharge sequence and the first discharge mean value information; Determining a first discharge deviation threshold value according to the first discharge mean value information; determining whether the first discharge deviation value is lower than the first discharge deviation threshold; If yes, it is in a stable discharge state; If not, the discharge is unstable.

[0008] In this solution, judging whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; According to the first discharge sequence, a fitting relationship and a fitting correlation coefficient are obtained according to a set linear fitting rule; Determining whether the fitting correlation coefficient is greater than a preset correlation coefficient threshold; If not, it is in an unstable discharge state; If yes, then determine the slope information according to the fitting relationship; Determining whether the slope information is within a preset slope range; If not, it is in an unstable discharge state; If yes, it is in the stable discharge state.

[0009] This plan also includes: Obtaining first coding information; According to the first coding information, setting first address information; Send and receive bus communication instructions according to the first address information.

[0010] This plan also includes: When it is determined that the second flag information exists; Obtaining first assembly station information according to the first coding information; Obtaining first assembly yield information according to the first assembly station information; Determining whether the first assembly yield information exceeds a preset assembly yield threshold; If not, a first workstation maintenance instruction is generated according to the first assembly workstation information and sent to the background.

[0011] This plan also includes: When it is determined that the third flag information exists; Obtaining first material coding information according to the first coding information; Obtaining first material yield information according to the first material coding information; Determining whether the first material yield information exceeds a preset material yield threshold; If not, a first material maintenance instruction is generated according to the first material yield information and sent to the background.

[0012] A second aspect of the present invention provides an intelligent manufacturing system based on MES system integration, including an intelligent manufacturing method program based on MES system integration, wherein the intelligent manufacturing method program based on MES system integration implements the following steps when executed by the processor: Acquire first power information and first coding information; Determining whether the first power information exceeds a preset power threshold; If not, control to enter the first operating station, and set the first flag information according to the first coding information; If yes, obtaining first voltage information; Determining whether the first voltage information exceeds a preset first voltage threshold; If not, control to enter the second operating station, and set the second flag information according to the first coding information; If yes, obtaining first discharge information; determining whether the discharge is in a stable state according to the first discharge information; If not, control to enter the third operating station, and set the third flag information according to the first coding information; If so, the control proceeds to the next operation process.

[0013] In this solution, judging whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; Obtaining first discharge mean value information according to the first discharge sequence; Obtaining a first discharge deviation value according to the first discharge sequence and the first discharge mean value information; Determining a first discharge deviation threshold value according to the first discharge mean value information; determining whether the first discharge deviation value is lower than the first discharge deviation threshold; If yes, it is in a stable discharge state; If not, the discharge is unstable.

[0014] In this solution, judging whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; According to the first discharge sequence, a fitting relationship and a fitting correlation coefficient are obtained according to a set linear fitting rule; Determining whether the fitting correlation coefficient is greater than a preset correlation coefficient threshold; If not, it is in an unstable discharge state; If yes, then determine the slope information according to the fitting relationship; Determining whether the slope information is within a preset slope range; If not, it is in an unstable discharge state; If yes, it is in the stable discharge state.

[0015] The third aspect of the present invention provides a computer-readable storage medium, which includes an intelligent manufacturing method program based on MES system integration. When the intelligent manufacturing method program based on MES system integration is executed by a processor, the steps of the intelligent manufacturing method based on MES system integration as described in any one of the above items are implemented.

[0016] The present invention provides an intelligent manufacturing method, system and storage medium based on MES system integration, which utilizes an energy storage EMS system to collect key parameters of a battery module through bus communication. First, it is determined whether first power information exceeds a preset power threshold value. If not, the battery module is controlled to enter a first operating station. If so, first voltage information is obtained. Then, it is determined whether the first voltage information exceeds a first voltage threshold value. If not, the battery module is controlled to enter a second operating station. If so, first discharge information is obtained. Finally, it is determined whether the battery module is in a stable discharge state according to the first discharge information. If not, the battery module is controlled to enter a third operating station. If so, the current detection process is completed. The present invention manages the detection process through the MES system to avoid high rework costs. In addition, by analyzing the causes of abnormalities in the battery module, an adjustment plan is provided to improve the efficiency of energy storage equipment production and manufacturing. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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 should not be regarded as limiting the scope.

[0018] Figure 1 A flow chart of an intelligent manufacturing method based on MES system integration of the present invention is shown; Figure 2 A flow chart for judging a stable discharge state provided by an embodiment of the present invention is shown; Figure 3 Another discharge stable state determination flow chart provided by an embodiment of the present invention is shown; Figure 4 A block diagram of an intelligent manufacturing system based on MES system integration of the present invention is shown. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Unless otherwise defined, all terms (including technical and scientific terms) used in the embodiments of the present invention have the same meanings as commonly understood by those skilled in the art to which the present invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless the embodiments of the present invention are explicitly defined in this way.

[0021] The words "first", "second" and similar words used in the embodiments of the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Words such as "one", "an" or "the" and similar words do not indicate a quantity limitation, but indicate the existence of at least one. Similarly, words such as "include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The steps before or after the method of the embodiment of the present invention are not necessarily carried out in order. On the contrary, various steps can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or a step or several steps can be removed from these processes.

[0022] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0023] Figure 1 A flow chart of an intelligent manufacturing method based on MES system integration of the present invention is shown.

[0024] like Figure 1 As shown, the first aspect of the present invention discloses an intelligent manufacturing method based on MES system integration, the method comprising: S102, obtaining first power information and first coding information; S104, determining whether the first power information exceeds a preset power threshold; S106, if not, control entering the first operating station and setting the first flag information according to the first coding information; S108, if yes, obtain first voltage information; S110, determining whether the first voltage information exceeds a preset first voltage threshold; S112, if not, control to enter the second operation station, and set the second flag information according to the first coding information; S114, if yes, obtaining first discharge information; S116, judging whether the discharge is in a stable state according to the first discharge information; S118, if not, control to enter the third operating station, and set the third flag information according to the first coding information; S120, if yes, the control proceeds to the next operation process.

[0025] It should be noted that the first coding information is the production code of the battery module, including but not limited to material code, production date, assembly station and other information, and is unique; the first power information is the power value of the battery module; the first voltage information is the maximum output voltage of the battery module; the first discharge information is the discharge parameters when the battery module is in a discharge state, including but not limited to discharge voltage, discharge current, discharge power, etc.; the first operating station is a station for charging the battery module; the second operating station is a station for handling battery module assembly abnormalities; the third operating station is a station for handling battery cell abnormalities.

[0026] In this embodiment, in the MES system, after the battery module is assembled, when entering the detection process, the battery module is connected to the energy storage EMS system through bus communication, and the energy storage EMS system sends the collected battery module data to the MES system for data processing. When entering the detection process, the production code of the battery module, that is, the first coding information, is obtained by scanning a barcode or a QR code, or NFC sensing, etc.; and a unique communication address is generated according to the first production code for bus communication between the energy storage EMS system and the battery module. First, the power value of the battery module, that is, the first power information, is collected through the energy storage EMS system; it is determined whether the first power information exceeds the preset power threshold; if not, it means that the power of the battery module is not enough to support the subsequent discharge test, therefore, the current battery module is controlled to enter the first operating station for a preset charging operation, and the first flag information is set according to the production code of the battery module to record that the current battery module has undergone a round of charging operation; if so, it means that the power of the battery module is sufficient for the discharge test, at this time, the highest output voltage of the battery module, that is, the first voltage information, is collected through the energy storage EMS system. It should be noted that the battery module is composed of several cells connected in series or in parallel. When the power of the battery module reaches the set threshold, if the cells are installed correctly, the maximum output voltage of the battery module will exceed the set voltage threshold; if the cells are missing or reversely connected, the output voltage of the battery module will drop to a certain extent due to the insufficient number of cells or the problem of voltage offset. Therefore, it is determined whether the first voltage information exceeds the preset voltage threshold; if not, it means that the cells of the battery module are missing or reversely connected. At this time, the current battery module is controlled to enter the second operating station to perform the assembly inspection operation of the battery module, and the second flag information is set according to the production code of the battery module to record the abnormal assembly problem of the current battery module; if so, it means that the battery module can be discharged. At this time, the discharge parameters of the battery module, that is, the first discharge information, such as discharge voltage or discharge current, are collected through the energy storage EMS system. Finally, according to the collected first discharge parameter and the set discharge stability judgment rule, it is determined whether the battery module is in a stable discharge state; if not, it means that the discharge performance of the battery module cannot meet the set production standard, therefore, the current battery module is controlled to enter the third operating station to perform the inspection operation of the battery cell, and the third flag information is set according to the production code of the battery module to record that the battery cell of the current battery module has an abnormality; if so, it means that the battery module has passed the inspection process and can be sent to the next operation process to complete the production and assembly of the energy storage device. This embodiment manages the inspection process through the MES system, and performs inspections before the battery module is installed and assembled to avoid high rework costs; in addition, by analyzing the causes of abnormalities in the battery module, abnormal records are set to improve the efficiency of energy storage equipment production and manufacturing.

[0027] Figure 2 A discharge stable state determination flow chart provided by an embodiment of the present invention is shown.

[0028] According to an embodiment of the present invention, Figure 2 As shown, the determining whether the discharge is in a stable state according to the first discharge information is specifically: S202, collecting and recording first discharge information according to a preset time period to obtain a first discharge sequence; S204, obtaining first discharge mean value information according to the first discharge sequence; S206, obtaining a first discharge deviation value according to the first discharge sequence and the first discharge mean value information; S208, determining a first discharge deviation threshold according to the first discharge mean value information; S210, determining whether the first discharge deviation value is lower than the first discharge deviation threshold; S212, if yes, it is in a stable discharge state; S214, if not, the discharge is in an unstable state.

[0029] It should be noted that the first discharge sequence is a sequence in which the collected first discharge information is recorded and stored in chronological order; the first discharge deviation value is a value obtained according to a set deviation value algorithm for indicating the fluctuation of the first discharge information, wherein the higher the deviation value, the greater the fluctuation amplitude of the first discharge information, that is, the more unstable. As an implementation mode, this embodiment judges the discharge stability of the battery module by the first discharge deviation value. In this embodiment, firstly, according to a set time period, the first discharge information of the battery module in the discharge state is continuously collected to record and obtain the first discharge sequence; then, according to the first discharge sequence, the mean of the first discharge information in the first discharge sequence is calculated to obtain the first discharge mean information. Secondly, the absolute value of the difference between the first discharge information in the first discharge sequence and the first discharge mean information is calculated in turn, and the above absolute values ​​are summed to obtain the first discharge deviation value. Then, according to the first discharge mean information, according to the set deviation allowable value, and according to the number of first discharge information in the first discharge sequence, the first discharge deviation threshold is calculated. Finally, determine whether the first discharge deviation value is lower than the first discharge deviation threshold value; if so, it means that the fluctuation amplitude of the first discharge information is small, and it can be determined that the battery module is in a stable discharge state; if not, it means that the fluctuation amplitude of the first discharge information is large, and it can be determined that the battery module is in an unstable discharge state.

[0030] Figure 3 Another discharge stable state determination flow chart provided by an embodiment of the present invention is shown.

[0031] According to an embodiment of the present invention, Figure 3 As shown, the determining whether the discharge is in a stable state according to the first discharge information is specifically: S302, collecting and recording first discharge information according to a preset time period to obtain a first discharge sequence; S304, obtaining a fitting relationship and a fitting correlation coefficient according to the first discharge sequence and a set linear fitting rule; S306, determining whether the fitting correlation coefficient is greater than a preset correlation coefficient threshold; S308, if not, it is in an unstable discharge state; S310, if yes, determining slope information according to the fitting relationship; S312, determining whether the slope information is within a preset slope range; S308, if not, it is in an unstable discharge state; S314: If yes, the discharge is in a stable state.

[0032] It should be noted that the fitted straight line is obtained by linear fitting, and the fitting relationship of the fitted straight line is used to represent the trend of the fitted straight line, wherein the fitting slope can reflect the speed of change of the amplitude of the first discharge information in the first discharge sequence; the fitting correlation coefficient of the fitted straight line is used to represent the degree of fit between the first discharge information in the first discharge sequence and the fitted straight line. As an implementation mode, this embodiment judges the discharge stability of the battery module by the fitting relationship and the fitting correlation coefficient of the linear fitting. First, according to the set time period, the first discharge information of the battery module in the discharge state is continuously collected, and the first discharge sequence is recorded; then, according to the first discharge sequence, according to the linear fitting rules such as the least squares method, the fitting relationship and the fitting correlation coefficient of the fitted straight line are obtained. Then, it is judged whether the fitting correlation coefficient is greater than the preset correlation coefficient threshold; wherein, in actual application, when the fitting correlation coefficient is greater than 0.99, it means that the linear fit is high, and the slope of the fitting relationship is tested; when the fitting correlation coefficient is not greater than 0.99, it means that the linear fit is low, and the set stability requirement is not met, so it is determined that the battery module is in an unstable discharge state. In the test of the slope of the fitting relationship, the larger the absolute value of the fitting slope is, the larger the rate of change of the fitting line is, and the more unstable it is. Therefore, it is determined whether the slope information in the fitting relationship is within the preset slope range; if not, it means that the absolute value of the slope is too large, that is, the rate of change of the fitting line is large, that is, the first discharge information in the first discharge sequence has a large change range, and it can be determined that the battery module is in an unstable discharge state; if yes, it means that the change range of the first discharge information in the first discharge sequence is within the set allowable range, and it can be determined that the battery module is in a stable discharge state.

[0033] According to an embodiment of the present invention, it also includes: Obtaining first coding information; According to the first coding information, setting first address information; Send and receive bus communication instructions according to the first address information.

[0034] It should be noted that in the MES system, there will be multiple battery modules to be inspected at the same time in the inspection process. This embodiment provides a communication link between the energy storage EMS system and multiple battery modules through bus communication; wherein the energy storage EMS system serves as the bus communication host and the battery module serves as the communication bus slave. In this embodiment, in order to improve the accuracy of master-slave communication, the first address information is generated according to the first coding information of the battery module; since the first coding information is unique, the first address information is also unique. After obtaining the first address information, the first address information during bus communication is set for the battery module according to the preset communication instructions or the method of scanning and entering the code. The energy storage EMS system sends and receives corresponding bus communication instructions according to the first address information through the communication bus to obtain the status data of the battery module.

[0035] According to an embodiment of the present invention, it also includes: When it is determined that the second flag information exists; Obtaining first assembly station information according to the first coding information; Obtaining first assembly yield information according to the first assembly station information; Determining whether the first assembly yield information exceeds a preset assembly yield threshold; If not, a first workstation maintenance instruction is generated according to the first assembly workstation information and sent to the background.

[0036] It should be noted that, in this embodiment, when the MES system detects the presence of the second flag information, it indicates that there is a possibility of assembly abnormality in the battery module. In actual production, the MES system controls multiple assembly lines of battery modules and sends the assembled battery modules to the same inspection process line; wherein the assembly line is also referred to as an assembly station. First, the first assembly station to which the battery module belongs is obtained from the first coding information of the battery module. Then, the probability of the first assembly station being marked as the second flag information, that is, the probability of an abnormality, is found according to the set time length, which is used to obtain the first assembly yield of the first assembly station; wherein the set time length can be 12 hours, 24 hours, 3 days, 1 week, etc. When the first assembly yield of the first assembly station does not exceed the preset assembly yield threshold, it indicates that there is an abnormality in the automated assembly equipment of the first assembly station or there is a problem in the assembly process. At this time, the first station maintenance instruction is sent to the background through the MES system to maintain the first assembly station, thereby improving the assembly yield of the first assembly station; that is, the efficiency of energy storage equipment production and manufacturing is improved through the MES system.

[0037] According to an embodiment of the present invention, it also includes: When it is determined that the third flag information exists; Obtaining first material coding information according to the first coding information; Obtaining first material yield information according to the first material coding information; Determining whether the first material yield information exceeds a preset material yield threshold; If not, a first material maintenance instruction is generated according to the first material yield information and sent to the background.

[0038] It should be noted that, in this embodiment, when the MES system detects the presence of the third mark information, it indicates that there may be an abnormality in the quality of the battery cells of the battery module. In actual production, the MES system records the codes of the production materials of each production or assembly line, and the material batch and other information can be located through the material code. First, the material code of the battery cell used in the battery module is obtained from the first coding information of the battery module, that is, the first material coding information. Then, according to the set time length, the probability of the battery cells of the same batch as the first material coding information being marked with the third mark information, that is, the probability of an abnormality, is searched for to obtain the first material yield information; wherein, the set time length can be 12 hours, 24 hours, 3 days, 1 week, etc. When the first material yield information does not exceed the preset material yield threshold, it means that the quality of the battery cells of the same batch as the first material coding information does not meet the set material yield standard. At this time, the first material maintenance instruction is sent to the background through the MES system to replace the battery cells of the same batch as the first material coding information, so that the material yield used in the production line meets the set requirements, thereby improving the production yield; the efficiency of energy storage equipment production and manufacturing is improved through the MES system.

[0039] It is worth mentioning that it also includes: When it is determined that the first flag information exists; Obtaining first number information according to the first coding information; Get the first number of record information; Obtaining first number mean information according to the first number information and the first number record information; Determine whether the first number of times mean information exceeds a preset first number threshold; If yes, then adjust the charging time upward; If not, determining whether the first number average information is lower than a preset second number threshold; If so, reduce the charging time.

[0040] It should be noted that when the battery module is controlled to enter the first operating station for a preset charging time due to insufficient power, the number of times the current battery module enters the first operating station, that is, the first count information, is obtained according to the first coding information. In practical applications, in order to improve production efficiency and save charging costs, the battery module is usually charged according to the set time; after charging, the power is re-judged, and if the power is insufficient, the charging operation of the set time is performed again. In this embodiment, according to the number of times the lithium battery module enters the first operating station and the number of times other lithium battery modules are charged, the average value is calculated to obtain the first count mean information. When the first count mean information exceeds the preset first count threshold, it means that the battery module enters the charging station too many times, which means that more time is needed to convert the battery module station. Therefore, by increasing the charging time of each round of charging of the lithium battery module, the purpose of reducing the number of charging times is achieved. When the first number average information is lower than the preset second number threshold, it means that the battery module can reach the set power requirement with fewer charging times. In other words, the power of each round of charging is relatively sufficient and there is a possibility of overcharging. Therefore, by lowering the charging time of each round of charging of the lithium battery module, the charging power can be reduced, that is, the purpose of reducing the electricity cost of production and manufacturing can be achieved.

[0041] It is worth mentioning that it also includes: Acquiring first image information; Determining whether there is an image with missing battery cells according to the first image information; If so, the control enters the second operating station and sets the second flag information according to the first coding information.

[0042] It should be noted that when the battery module enters the inspection process of the MES system, the image information of the battery module, i.e., the first image information, is obtained through a picture taking device or a camera device. Through the set image analysis technology, it is determined whether the number of cells in the battery module reaches the preset cell number threshold; if not, it means that the cells of the battery module are missing, i.e., missing. When missing is detected, the current battery module is controlled to enter the second operating station to perform assembly inspection operations on the battery module, and the second flag information is set according to the production code of the battery module.

[0043] It is worth mentioning that it also includes: Determine first quantity information according to the first address information; Determining whether the first quantity information is lower than a preset first quantity threshold; If so, the fourth flag information is set.

[0044] It should be noted that, in this embodiment, the energy storage EMS system obtains the number of battery modules in the detection process, that is, the first quantity information, through the total number of slave addresses on the communication bus. When the first quantity information is lower than the preset first quantity threshold, it means that the number of battery modules in the detection process is too small. At this time, the fourth flag information is set to allow the MES system to speed up the assembly speed of the assembly station or increase the assembly station to increase the speed of production.

[0045] Figure 4 A block diagram of an intelligent manufacturing system based on MES system integration of the present invention is shown.

[0046] like Figure 4 As shown, the second aspect of the present invention discloses an intelligent manufacturing system 4 based on MES system integration, including a memory 41 and a processor 42, wherein the memory includes an intelligent manufacturing method program based on MES system integration, and when the intelligent manufacturing method program based on MES system integration is executed by the processor, the following steps are implemented: Acquire first power information and first coding information; Determining whether the first power information exceeds a preset power threshold; If not, control to enter the first operating station, and set the first flag information according to the first coding information; If yes, obtaining first voltage information; Determining whether the first voltage information exceeds a preset first voltage threshold; If not, control to enter the second operating station, and set the second flag information according to the first coding information; If yes, obtaining first discharge information; determining whether the discharge is in a stable state according to the first discharge information; If not, control to enter the third operating station, and set the third flag information according to the first coding information; If so, the control proceeds to the next operation process.

[0047] It should be noted that the first coding information is the production code of the battery module, including but not limited to material code, production date, assembly station and other information, and is unique; the first power information is the power value of the battery module; the first voltage information is the maximum output voltage of the battery module; the first discharge information is the discharge parameters when the battery module is in a discharge state, including but not limited to discharge voltage, discharge current, discharge power, etc.; the first operating station is a station for charging the battery module; the second operating station is a station for handling battery module assembly abnormalities; the third operating station is a station for handling battery cell abnormalities.

[0048] In this embodiment, in the MES system, after the battery module is assembled, when entering the detection process, the battery module is connected to the energy storage EMS system through bus communication, and the energy storage EMS system sends the collected battery module data to the MES system for data processing. When entering the detection process, the production code of the battery module, that is, the first coding information, is obtained by scanning a barcode or a QR code, or NFC sensing, etc.; and a unique communication address is generated according to the first production code for bus communication between the energy storage EMS system and the battery module. First, the power value of the battery module, that is, the first power information, is collected through the energy storage EMS system; it is determined whether the first power information exceeds the preset power threshold; if not, it means that the power of the battery module is not enough to support the subsequent discharge test, therefore, the current battery module is controlled to enter the first operating station for a preset charging operation, and the first flag information is set according to the production code of the battery module to record that the current battery module has undergone a round of charging operation; if so, it means that the power of the battery module is sufficient for the discharge test, at this time, the highest output voltage of the battery module, that is, the first voltage information, is collected through the energy storage EMS system. It should be noted that the battery module is composed of several cells connected in series or in parallel. When the power of the battery module reaches the set threshold, if the cells are installed correctly, the maximum output voltage of the battery module will exceed the set voltage threshold; if the cells are missing or reversely connected, the output voltage of the battery module will drop to a certain extent due to the insufficient number of cells or the problem of voltage offset. Therefore, it is determined whether the first voltage information exceeds the preset voltage threshold; if not, it means that the cells of the battery module are missing or reversely connected. At this time, the current battery module is controlled to enter the second operating station to perform the assembly inspection operation of the battery module, and the second flag information is set according to the production code of the battery module to record the abnormal assembly problem of the current battery module; if so, it means that the battery module can be discharged. At this time, the discharge parameters of the battery module, that is, the first discharge information, such as discharge voltage or discharge current, are collected through the energy storage EMS system. Finally, according to the collected first discharge parameter and the set discharge stability judgment rule, it is determined whether the battery module is in a stable discharge state; if not, it means that the discharge performance of the battery module cannot meet the set production standard, therefore, the current battery module is controlled to enter the third operating station to perform the inspection operation of the battery cell, and the third flag information is set according to the production code of the battery module to record that the battery cell of the current battery module has an abnormality; if so, it means that the battery module has passed the inspection process and can be sent to the next operation process to complete the production and assembly of the energy storage device. This embodiment manages the inspection process through the MES system, and performs inspections before the battery module is installed and assembled to avoid high rework costs; in addition, by analyzing the causes of abnormalities in the battery module, abnormal records are set to improve the efficiency of energy storage equipment production and manufacturing.

[0049] According to an embodiment of the present invention, judging whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; Obtaining first discharge mean value information according to the first discharge sequence; Obtaining a first discharge deviation value according to the first discharge sequence and the first discharge mean value information; Determining a first discharge deviation threshold value according to the first discharge mean value information; determining whether the first discharge deviation value is lower than the first discharge deviation threshold; If yes, it is in a stable discharge state; If not, the discharge is unstable.

[0050] It should be noted that the first discharge sequence is a sequence in which the collected first discharge information is recorded and stored in chronological order; the first discharge deviation value is a value obtained according to a set deviation value algorithm for indicating the fluctuation of the first discharge information, wherein the higher the deviation value, the greater the fluctuation amplitude of the first discharge information, that is, the more unstable. As an implementation mode, this embodiment judges the discharge stability of the battery module by the first discharge deviation value. In this embodiment, firstly, according to a set time period, the first discharge information of the battery module in the discharge state is continuously collected to record and obtain the first discharge sequence; then, according to the first discharge sequence, the mean of the first discharge information in the first discharge sequence is calculated to obtain the first discharge mean information. Secondly, the absolute value of the difference between the first discharge information in the first discharge sequence and the first discharge mean information is calculated in turn, and the above absolute values ​​are summed to obtain the first discharge deviation value. Then, according to the first discharge mean information, according to the set deviation allowable value, and according to the number of first discharge information in the first discharge sequence, the first discharge deviation threshold is calculated. Finally, determine whether the first discharge deviation value is lower than the first discharge deviation threshold value; if so, it means that the fluctuation amplitude of the first discharge information is small, and it can be determined that the battery module is in a stable discharge state; if not, it means that the fluctuation amplitude of the first discharge information is large, and it can be determined that the battery module is in an unstable discharge state.

[0051] According to an embodiment of the present invention, judging whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; According to the first discharge sequence, a fitting relationship and a fitting correlation coefficient are obtained according to a set linear fitting rule; Determining whether the fitting correlation coefficient is greater than a preset correlation coefficient threshold; If not, it is in an unstable discharge state; If yes, then determine the slope information according to the fitting relationship; Determining whether the slope information is within a preset slope range; If not, it is in an unstable discharge state; If yes, it is in the stable discharge state.

[0052] It should be noted that the fitted straight line is obtained by linear fitting, and the fitting relationship of the fitted straight line is used to represent the trend of the fitted straight line, wherein the fitting slope can reflect the speed of change of the amplitude of the first discharge information in the first discharge sequence; the fitting correlation coefficient of the fitted straight line is used to represent the degree of fit between the first discharge information in the first discharge sequence and the fitted straight line. As an implementation mode, this embodiment judges the discharge stability of the battery module by the fitting relationship and the fitting correlation coefficient of the linear fitting. First, according to the set time period, the first discharge information of the battery module in the discharge state is continuously collected, and the first discharge sequence is recorded; then, according to the first discharge sequence, according to the linear fitting rules such as the least squares method, the fitting relationship and the fitting correlation coefficient of the fitted straight line are obtained. Then, it is judged whether the fitting correlation coefficient is greater than the preset correlation coefficient threshold; wherein, in actual application, when the fitting correlation coefficient is greater than 0.99, it means that the linear fit is high, and the slope of the fitting relationship is tested; when the fitting correlation coefficient is not greater than 0.99, it means that the linear fit is low, and the set stability requirement is not met, so it is determined that the battery module is in an unstable discharge state. In the test of the slope of the fitting relationship, the larger the absolute value of the fitting slope is, the larger the rate of change of the fitting line is, and the more unstable it is. Therefore, it is determined whether the slope information in the fitting relationship is within the preset slope range; if not, it means that the absolute value of the slope is too large, that is, the rate of change of the fitting line is large, that is, the first discharge information in the first discharge sequence has a large change range, and it can be determined that the battery module is in an unstable discharge state; if yes, it means that the change range of the first discharge information in the first discharge sequence is within the set allowable range, and it can be determined that the battery module is in a stable discharge state.

[0053] According to an embodiment of the present invention, it also includes: Obtaining first coding information; According to the first coding information, setting first address information; Send and receive bus communication instructions according to the first address information.

[0054] It should be noted that in the MES system, there will be multiple battery modules to be inspected at the same time in the inspection process. This embodiment provides a communication link between the energy storage EMS system and multiple battery modules through bus communication; wherein the energy storage EMS system serves as the bus communication host and the battery module serves as the communication bus slave. In this embodiment, in order to improve the accuracy of master-slave communication, the first address information is generated according to the first coding information of the battery module; since the first coding information is unique, the first address information is also unique. After obtaining the first address information, the first address information during bus communication is set for the battery module according to the preset communication instructions or the method of scanning and entering the code. The energy storage EMS system sends and receives corresponding bus communication instructions according to the first address information through the communication bus to obtain the status data of the battery module.

[0055] According to an embodiment of the present invention, it also includes: When it is determined that the second flag information exists; Obtaining first assembly station information according to the first coding information; Obtaining first assembly yield information according to the first assembly station information; Determining whether the first assembly yield information exceeds a preset assembly yield threshold; If not, a first workstation maintenance instruction is generated according to the first assembly workstation information and sent to the background.

[0056] It should be noted that, in this embodiment, when the MES system detects the presence of the second flag information, it indicates that there is a possibility of assembly abnormality in the battery module. In actual production, the MES system controls multiple assembly lines of battery modules and sends the assembled battery modules to the same inspection process line; wherein the assembly line is also referred to as an assembly station. First, the first assembly station to which the battery module belongs is obtained from the first coding information of the battery module. Then, the probability of the first assembly station being marked as the second flag information, that is, the probability of an abnormality, is found according to the set time length, which is used to obtain the first assembly yield of the first assembly station; wherein the set time length can be 12 hours, 24 hours, 3 days, 1 week, etc. When the first assembly yield of the first assembly station does not exceed the preset assembly yield threshold, it indicates that there is an abnormality in the automated assembly equipment of the first assembly station or there is a problem in the assembly process. At this time, the first station maintenance instruction is sent to the background through the MES system to maintain the first assembly station, thereby improving the assembly yield of the first assembly station; that is, the efficiency of energy storage equipment production and manufacturing is improved through the MES system.

[0057] According to an embodiment of the present invention, it also includes: When it is determined that the third flag information exists; Obtaining first material coding information according to the first coding information; Obtaining first material yield information according to the first material coding information; Determining whether the first material yield information exceeds a preset material yield threshold; If not, a first material maintenance instruction is generated according to the first material yield information and sent to the background.

[0058] It should be noted that, in this embodiment, when the MES system detects the presence of the third mark information, it indicates that there may be an abnormality in the quality of the battery cells of the battery module. In actual production, the MES system records the codes of the production materials of each production or assembly line, and the material batch and other information can be located through the material code. First, the material code of the battery cell used in the battery module is obtained from the first coding information of the battery module, that is, the first material coding information. Then, according to the set time length, the probability of the battery cells of the same batch as the first material coding information being marked with the third mark information, that is, the probability of an abnormality, is searched for to obtain the first material yield information; wherein, the set time length can be 12 hours, 24 hours, 3 days, 1 week, etc. When the first material yield information does not exceed the preset material yield threshold, it means that the quality of the battery cells of the same batch as the first material coding information does not meet the set material yield standard. At this time, the first material maintenance instruction is sent to the background through the MES system to replace the battery cells of the same batch as the first material coding information, so that the material yield used in the production line meets the set requirements, thereby improving the production yield; the efficiency of energy storage equipment production and manufacturing is improved through the MES system.

[0059] It is worth mentioning that it also includes: When it is determined that the first flag information exists; Obtaining first number information according to the first coding information; Get the first number of record information; Obtaining first number mean information according to the first number information and the first number record information; Determine whether the first number of times mean information exceeds a preset first number threshold; If yes, then adjust the charging time upward; If not, determining whether the first number average information is lower than a preset second number threshold; If so, reduce the charging time.

[0060] It should be noted that when the battery module is controlled to enter the first operating station for a preset charging time due to insufficient power, the number of times the current battery module enters the first operating station, that is, the first count information, is obtained according to the first coding information. In practical applications, in order to improve production efficiency and save charging costs, the battery module is usually charged according to the set time; after charging, the power is re-judged, and if the power is insufficient, the charging operation of the set time is performed again. In this embodiment, according to the number of times the lithium battery module enters the first operating station and the number of times other lithium battery modules are charged, the average value is calculated to obtain the first count mean information. When the first count mean information exceeds the preset first count threshold, it means that the battery module enters the charging station too many times, which means that more time is needed to convert the battery module station. Therefore, by increasing the charging time of each round of charging of the lithium battery module, the purpose of reducing the number of charging times is achieved. When the first number average information is lower than the preset second number threshold, it means that the battery module can reach the set power requirement with fewer charging times. In other words, the power of each round of charging is relatively sufficient and there is a possibility of overcharging. Therefore, by lowering the charging time of each round of charging of the lithium battery module, the charging power can be reduced, that is, the purpose of reducing the electricity cost of production and manufacturing can be achieved.

[0061] It is worth mentioning that it also includes: Acquiring first image information; Determining whether there is an image with missing battery cells according to the first image information; If so, the control enters the second operating station and sets the second flag information according to the first coding information.

[0062] It should be noted that when the battery module enters the inspection process of the MES system, the image information of the battery module, i.e., the first image information, is obtained through a picture taking device or a camera device. Through the set image analysis technology, it is determined whether the number of cells in the battery module reaches the preset cell number threshold; if not, it means that the cells of the battery module are missing, i.e., missing. When missing is detected, the current battery module is controlled to enter the second operating station to perform assembly inspection operations on the battery module, and the second flag information is set according to the production code of the battery module.

[0063] It is worth mentioning that it also includes: Determine first quantity information according to the first address information; Determining whether the first quantity information is lower than a preset first quantity threshold; If so, the fourth flag information is set.

[0064] It should be noted that, in this embodiment, the energy storage EMS system obtains the number of battery modules in the detection process, that is, the first quantity information, through the total number of slave addresses on the communication bus. When the first quantity information is lower than the preset first quantity threshold, it means that the number of battery modules in the detection process is too small. At this time, the fourth flag information is set to allow the MES system to speed up the assembly speed of the assembly station or increase the assembly station to increase the speed of production.

[0065] The third aspect of the present invention provides a computer-readable storage medium, which includes an intelligent manufacturing method program based on MES system integration. When the intelligent manufacturing method program based on MES system integration is executed by a processor, the steps of the intelligent manufacturing method based on MES system integration as described in any one of the above items are implemented.

[0066] In summary, the present invention provides an intelligent manufacturing method, system and storage medium based on MES system integration, which uses the energy storage EMS system to collect key parameters of the battery module through bus communication. First, it is determined whether the first power information exceeds the preset power threshold. If not, the battery module is controlled to enter the first operating station. If so, the first voltage information is obtained; then, it is determined whether the first voltage information exceeds the first voltage threshold. If not, the battery module is controlled to enter the second operating station. If so, the first discharge information is obtained; finally, it is determined whether the battery module is in a stable discharge state according to the first discharge information. If not, the battery module is controlled to enter the third operating station. If so, the current detection process is completed; the present invention manages the detection process through the MES system to avoid high rework costs; in addition, by analyzing the causes of abnormalities in the battery module, an adjustment plan is provided to improve the efficiency of energy storage equipment production and manufacturing.

[0067] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent manufacturing method based on MES system integration, characterized in that: The method comprises: Acquire first power information and first coding information; Determining whether the first power information exceeds a preset power threshold; If not, control to enter the first operating station, and set the first flag information according to the first coding information; If yes, obtaining first voltage information; Determining whether the first voltage information exceeds a preset first voltage threshold; If not, control to enter the second operating station, and set the second flag information according to the first coding information; If yes, obtaining first discharge information; determining whether the discharge is in a stable state according to the first discharge information; If not, control to enter the third operating station, and set the third flag information according to the first coding information; If so, the control proceeds to the next operation process.

2. According to claim 1, a smart manufacturing method based on MES system integration is characterized in that: The determining whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; Obtaining first discharge mean value information according to the first discharge sequence; Obtaining a first discharge deviation value according to the first discharge sequence and the first discharge mean value information; Determining a first discharge deviation threshold value according to the first discharge mean value information; determining whether the first discharge deviation value is lower than the first discharge deviation threshold; If yes, it is in a stable discharge state; If not, the discharge is unstable.

3. The intelligent manufacturing method based on MES system integration according to claim 1 is characterized in that: The determining whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; According to the first discharge sequence, a fitting relationship and a fitting correlation coefficient are obtained according to a set linear fitting rule; Determining whether the fitting correlation coefficient is greater than a preset correlation coefficient threshold; If not, it is in an unstable discharge state; If yes, then determine the slope information according to the fitting relationship; Determining whether the slope information is within a preset slope range; If not, it is in an unstable discharge state; If yes, it is in the stable discharge state.

4. The intelligent manufacturing method based on MES system integration according to claim 1 is characterized in that: Also includes: Obtaining first coding information; According to the first coding information, setting first address information; Send and receive bus communication instructions according to the first address information.

5. The intelligent manufacturing method based on MES system integration according to claim 1 is characterized in that: Also includes: When it is determined that the second flag information exists; Obtaining first assembly station information according to the first coding information; Obtaining first assembly yield information according to the first assembly station information; Determining whether the first assembly yield information exceeds a preset assembly yield threshold; If not, a first workstation maintenance instruction is generated according to the first assembly workstation information and sent to the background.

6. The intelligent manufacturing method based on MES system integration according to claim 1 is characterized in that: Also includes: When it is determined that the third flag information exists; Obtaining first material coding information according to the first coding information; Obtaining first material yield information according to the first material coding information; Determining whether the first material yield information exceeds a preset material yield threshold; If not, a first material maintenance instruction is generated according to the first material yield information and sent to the background.

7. An intelligent manufacturing system based on MES system integration, characterized in that: The system includes a memory and a processor, wherein the memory includes an intelligent manufacturing method program based on MES system integration, and when the intelligent manufacturing method program based on MES system integration is executed by the processor, the following steps are implemented: Acquire first power information and first coding information; Determining whether the first power information exceeds a preset power threshold; If not, control to enter the first operating station, and set the first flag information according to the first coding information; If yes, obtaining first voltage information; Determining whether the first voltage information exceeds a preset first voltage threshold; If not, control to enter the second operating station, and set the second flag information according to the first coding information; If yes, obtaining first discharge information; determining whether the discharge is in a stable state according to the first discharge information; If not, control to enter the third operating station, and set the third flag information according to the first coding information; If so, the control proceeds to the next operation process.

8. The intelligent manufacturing system based on MES system integration according to claim 7 is characterized in that: The determining whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; Obtaining first discharge mean value information according to the first discharge sequence; Obtaining a first discharge deviation value according to the first discharge sequence and the first discharge mean value information; Determining a first discharge deviation threshold value according to the first discharge mean value information; determining whether the first discharge deviation value is lower than the first discharge deviation threshold; If yes, it is in a stable discharge state; If not, the discharge is unstable.

9. The intelligent manufacturing system based on MES system integration according to claim 7 is characterized in that: The determining whether the discharge is in a stable state according to the first discharge information is specifically: According to a preset time period, collecting and recording first discharge information to obtain a first discharge sequence; According to the first discharge sequence, a fitting relationship and a fitting correlation coefficient are obtained according to a set linear fitting rule; Determining whether the fitting correlation coefficient is greater than a preset correlation coefficient threshold; If not, it is in an unstable discharge state; If yes, then determine the slope information according to the fitting relationship; Determining whether the slope information is within a preset slope range; If not, it is in an unstable discharge state; If yes, it is in the stable discharge state.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer-readable storage medium includes an intelligent manufacturing method program based on MES system integration. When the intelligent manufacturing method program based on MES system integration is executed by a processor, the steps of the intelligent manufacturing method based on MES system integration as described in any one of claims 1 to 6 are implemented.

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