Operation monitoring system of new energy integrated thermal management module production line

Abstract

The present invention belongs to the field of thermal management integration, relates to data analysis technology, and is used for solving the problem of existing operation monitoring systems of new energy integrated thermal management module production lines being unable to perform production efficiency feature analysis of a production workshop on the basis of parameters such as consumables data and output data in the production workshop. The present invention relates to, in particular, an operation monitoring system of a new energy integrated thermal management module production line. The system comprises an operation monitoring platform, the operation monitoring platform being in communication connection with a production efficiency monitoring module, a scrap monitoring module, and a storage module. The production efficiency monitoring module is used for monitoring and analyzing the production efficiency of an integrated thermal management module production workshop: marking a production line of the integrated thermal management module production workshop as a monitoring object. In the present invention, the production efficiency of the integrated thermal management module production workshop can be monitored and analyzed, and an operation coefficient is obtained by means of comprehensively calculating and analyzing various production parameters of the monitoring object during a production day, thus, marking is carried out when the operating state of a production line is abnormal.

Description

An operation monitoring system for a new energy thermal management integrated module production line Technical Field

[0001] The present invention belongs to the field of thermal management integration and relates to data analysis technology, and specifically is an operation monitoring system for a new energy thermal management integrated module production line. Background Art

[0002] With the promotion of new energy vehicles, consumers' expectations for them have further increased. For consumers, the driving experience is particularly important. In new energy vehicles, thermal management integrated modules are used to regulate cabin temperature, provide a comfortable driving environment, and enhance the driver's driving experience. Thermal management integrated modules play a significant role in improving the driving experience, and therefore, the new energy vehicle market now places higher demands on the quality of thermal management integrated modules.

[0003] The existing operation monitoring system of the new energy thermal management integrated module production line can only monitor the operating status of each device on the production line, but cannot analyze the production efficiency characteristics of the production workshop based on parameters such as consumables data and output data in the production workshop, and thus cannot carry out targeted optimization of the production line in the production workshop.

[0004] In response to the above technical problems, this application proposes a solution.

[0005] Summary of the Invention

[0006] The purpose of the present invention is to provide an operation monitoring system for a new energy thermal management integrated module production line, which is used to solve the problem that the existing operation monitoring system of the new energy thermal management integrated module production line is unable to analyze the production efficiency characteristics of the production workshop based on parameters such as consumables data and output data in the production workshop;

[0007] The technical problem to be solved by the present invention is: how to provide an operation monitoring system for a new energy thermal management integrated module production line that can analyze the production efficiency characteristics of a production workshop based on parameters such as consumables data and output data in the production workshop.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] An operation monitoring system for a new energy thermal management integrated module production line includes an operation monitoring platform, wherein the operation monitoring platform is communicatively connected to a production efficiency monitoring module, a scrap monitoring module, and a storage module;

[0010] The production efficiency monitoring module is used to monitor and analyze the production efficiency of the thermal management integrated module production workshop: the production line of the thermal management integrated module production workshop is marked as a monitoring object, the raw material data YL, output data CC and working time data GS of the monitoring object on the production day are obtained, and the operation coefficient YX of the monitoring object on the production day is obtained by numerical calculation of the raw material data YL, output data CC and working time data GS; the operation threshold value YXmin is obtained through the storage module, the operation coefficient YX of the monitoring object on the production day is compared with the operation threshold value YXmin, and the monitoring object is marked as a normal object or an abnormal object based on the comparison result; the ratio of the number of abnormal objects to the monitoring objects in the production workshop is marked as an abnormal coefficient, the abnormal threshold value is obtained through the storage module, the abnormal coefficient is compared with the abnormal threshold value, and whether the operation efficiency of the production workshop on the production day meets the requirements is determined based on the comparison result;

[0011] The scrap monitoring module is used to monitor and analyze the scrap status of products of abnormal objects: the scrap quantity of the abnormal objects is marked as the scrap value of the abnormal objects, the scrap threshold is obtained through the storage module, the scrap value is compared with the scrap threshold, and whether the scrap status meets the requirements is determined based on the comparison result.

[0012] As a preferred embodiment of the present invention, the raw material data YL is the weight value of the filler consumed by the monitored object during the production day, the output data CC is the number of finished products produced by the monitored object during the production day, and the working time data GS is the operating time of the monitored object during the production day.

[0013] As a preferred embodiment of the present invention, the specific process of comparing the operating coefficient YX of the monitored object during the production day with the operating threshold value YXmin includes: if the operating coefficient YX is less than the operating threshold value YXmin, it is determined that the operating efficiency of the monitored object during the production day does not meet the requirements, and the corresponding monitored object is marked as an abnormal object; if the operating coefficient YX is greater than or equal to the operating threshold value YXmin, it is determined that the operating efficiency of the monitored object during the production day meets the requirements, and the corresponding monitored object is marked as a normal object.

[0014] As a preferred embodiment of the present invention, the specific process of comparing the abnormality coefficient with the abnormality threshold includes: if the abnormality coefficient is less than the abnormality threshold, it is determined that the operating efficiency of the production workshop during the production day meets the requirements, and the abnormal object is sent to the operation monitoring platform. After receiving the abnormal object, the operation monitoring platform sends the abnormal object to the scrap monitoring module; if the abnormality coefficient is greater than or equal to the abnormality threshold, it is determined that the operating efficiency of the production workshop during the production day does not meet the requirements, a raw material abnormality signal is generated and the raw material abnormality signal is sent to the operation monitoring platform. After receiving the raw material abnormality signal, the operation monitoring platform sends the raw material abnormality signal to the mobile phone terminal of the manager.

[0015] As a preferred embodiment of the present invention, the specific process of comparing the scrap value with the scrap threshold includes: if the scrap value is less than the scrap threshold, a whole-line maintenance signal is generated and the whole-line maintenance signal is sent to the operation monitoring platform, and after the operation monitoring platform receives the whole-line maintenance signal, the whole-line maintenance signal is sent to the mobile phone terminal of the manager; if the scrap value is greater than or equal to the scrap threshold, a scrap distribution analysis is performed.

[0016] As a preferred embodiment of the present invention, the specific process of scrap distribution analysis includes: forming a scrap set from the scrap quantity of all processing equipment in the abnormal object, performing variance calculation on the scrap set to obtain a scrap average value, obtaining a scrap average threshold through a storage module, and comparing the scrap average value with the scrap average threshold: if the scrap average value is less than the scrap average threshold, a whole-line maintenance signal is generated and the whole-line maintenance signal is sent to the operation monitoring platform, and the operation monitoring platform sends the whole-line maintenance signal to the mobile phone terminal of the manager after receiving the whole-line maintenance signal; if the scrap average value is greater than or equal to the scrap average threshold, a key maintenance signal is generated and the key maintenance signal is sent to the operation monitoring platform, and the operation monitoring platform sends the key maintenance signal to the mobile phone terminal of the manager after receiving the key maintenance signal.

[0017] As a preferred embodiment of the present invention, the working method of the operation monitoring system of the new energy thermal management integrated module production line includes the following steps:

[0018] Step 1: Monitor and analyze the production efficiency of the thermal management integrated module production workshop: Mark the production line of the thermal management integrated module production workshop as the monitoring object, obtain the raw material data YL, output data CC, and working time data GS of the monitoring object during the production day, and perform numerical calculations to obtain the operating coefficient YX of the monitoring object;

[0019] Step 2: Use the operating coefficient YX to mark the monitored object as a normal object or an abnormal object. The ratio of the number of abnormal objects to the monitored objects in the production workshop is marked as the abnormal coefficient. The abnormal coefficient is used to determine whether the operating efficiency of the production workshop during the production day meets the requirements;

[0020] Step 3: Monitor and analyze the scrapping status of abnormal products: obtain the scrapping value and scrapping average value of the abnormal object, generate the whole line maintenance signal or key maintenance signal through the scrapping value and scrapping average value and send it to the operation monitoring platform.

[0021] The present invention has the following beneficial effects:

[0022] 1. The production efficiency monitoring module can monitor and analyze the production efficiency of the thermal management integrated module production workshop. The operating coefficient is obtained by comprehensively calculating and analyzing the various production parameters of the monitored objects during the production day. The operating status of the production line is fed back through the value of the operating coefficient, so that abnormal operating status of the production line can be marked.

[0023] 2. The abnormal coefficient is calculated by the ratio of abnormal objects to all production lines. The abnormal coefficient is then used to provide feedback on the overall processing status of the production workshop. When the overall operating efficiency of the production workshop is abnormal, the quality of raw materials is strictly controlled to prevent the production efficiency of all production lines in the entire workshop from being affected by raw material quality issues.

[0024] 3. The scrap monitoring module can monitor and analyze the scrap status of abnormal products. By monitoring the scrap quantity of abnormal objects, the smoothness of the production line operation is analyzed based on the scrap value. When the scrap value is higher than the preset threshold, equipment concentration analysis is performed, the number of scrapped products produced by each device is monitored, and corresponding processing signals are generated based on the monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] FIG1 is a system block diagram of a first embodiment of the present invention;

[0027] FIG2 is a flow chart of a method according to a second embodiment of the present invention. DETAILED DESCRIPTION

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0029] Example 1

[0030] As shown in FIG1 , an operation monitoring system for a new energy thermal management integrated module production line includes an operation monitoring platform, which is communicatively connected to a production efficiency monitoring module, a scrap monitoring module, and a storage module.

[0031] The production efficiency monitoring module is used to monitor and analyze the production efficiency of the thermal management integrated module production workshop: the production line of the thermal management integrated module production workshop is marked as the monitoring object, and the raw material data YL, output data CC and working time data GS of the monitoring object during the production day are obtained. The raw material data YL is the weight value of the filler consumed by the monitoring object during the production day, the output data CC is the number of finished products produced by the monitoring object during the production day, and the working time data GS is the operating time of the monitoring object during the production day. The operating coefficient Y of the monitoring object during the production day is obtained by the formula YX=α1*CC / GS+α2*CC-α3*YL X, where α1, α2 and α3 are all proportional coefficients, and α1>α2>α3>1; obtain the operation threshold YXmin through the storage module, and compare the operation coefficient YX of the monitored object during the production day with the operation threshold YXmin: if the operation coefficient YX is less than the operation threshold YXmin, it is determined that the operation efficiency of the monitored object during the production day does not meet the requirements, and the corresponding monitored object is marked as an abnormal object; if the operation coefficient YX is greater than or equal to the operation threshold YXmin, it is determined that the operation efficiency of the monitored object during the production day meets the requirements, and the corresponding monitored object is marked as a normal object; The production efficiency of the modular production workshop is monitored and analyzed. The operation coefficient is obtained by comprehensively calculating and analyzing the various production parameters of the monitored objects during the production day. The operating status of the production line is fed back through the value of the operation coefficient, so that abnormal operation of the production line can be marked. The ratio of the number of abnormal objects to the number of monitored objects in the production workshop is marked as the abnormal coefficient. The abnormal threshold is obtained through the storage module and the abnormal coefficient is compared with the abnormal threshold. If the abnormal coefficient is less than the abnormal threshold, the operating efficiency of the production workshop during the production day is determined to meet the requirements. The abnormal object is sent to the operation monitoring platform. After receiving the abnormal object, the operation monitoring platform sends the abnormal object to the scrap monitoring module. If the abnormal coefficient is greater than or equal to the abnormal threshold, the operating efficiency of the production workshop during the production day is determined to be unsatisfactory. A raw material abnormality signal is generated and sent to the operation monitoring platform. After receiving the raw material abnormality signal, the operation monitoring platform sends the raw material abnormality signal to the manager's mobile terminal. The overall processing status of the production workshop is fed back based on the value of the abnormal coefficient. When the overall operating efficiency of the production workshop is abnormal, the raw material quality is strictly controlled to prevent the production efficiency of all production lines in the entire workshop from being affected due to raw material quality problems.

[0032] The scrap monitoring module is used to monitor and analyze the scrap status of abnormal objects: the scrap quantity of abnormal objects is marked as the scrap value of the abnormal objects, the scrap threshold is obtained through the storage module, and the scrap value is compared with the scrap threshold. If the scrap value is less than the scrap threshold, a whole-line maintenance signal is generated and sent to the operation monitoring platform. After receiving the whole-line maintenance signal, the operation monitoring platform sends the whole-line maintenance signal to the administrator's mobile terminal. If the scrap value is greater than or equal to the scrap threshold, a scrap distribution analysis is performed: The scrap set is composed of the scrap quantity of all processing equipment in the abnormal object. The variance of the scrap set is calculated to obtain the scrap average value. The scrap average threshold is obtained through the storage module, and the scrap average value is compared with the scrap average threshold: if the scrap average value is less than the scrap average threshold, a whole-line maintenance signal is generated and sent to the operation monitoring platform. After receiving the whole-line maintenance signal, the operation monitoring platform sends the whole-line maintenance signal to the manager's mobile terminal; if the scrap average value is greater than or equal to the scrap average threshold, a key maintenance signal is generated and sent to the operation monitoring platform. After receiving the key maintenance signal, the operation monitoring platform sends the key maintenance signal to the manager's mobile terminal; the product scrapping situation of the abnormal object is monitored and analyzed. By monitoring the scrap quantity of the abnormal object, the operation smoothness of the production line is analyzed according to the scrap value. When the scrap value is higher than the preset threshold, equipment concentration analysis is performed, the number of scrapped products produced by each equipment is monitored, and corresponding processing signals are generated according to the monitoring results.

[0033] Example 2

[0034] As shown in FIG2 , a method for monitoring the operation of a new energy thermal management integrated module production line includes the following steps:

[0035] Step 1: Monitor and analyze the production efficiency of the thermal management integrated module production workshop: Mark the production line of the thermal management integrated module production workshop as the monitoring object, obtain the raw material data YL, output data CC, and working time data GS of the monitoring object during the production day, and perform numerical calculations to obtain the operating coefficient YX of the monitoring object;

[0036] Step 2: Use the operating coefficient YX to mark the monitored object as a normal object or an abnormal object. The ratio of the number of abnormal objects to the monitored objects in the production workshop is marked as the abnormal coefficient. The abnormal coefficient is used to determine whether the operating efficiency of the production workshop during the production day meets the requirements;

[0037] Step 3: Monitor and analyze the scrapping status of abnormal products: obtain the scrapping value and scrapping average value of the abnormal object, generate the whole line maintenance signal or key maintenance signal through the scrapping value and scrapping average value and send it to the operation monitoring platform.

[0038] An operation monitoring system for a new energy thermal management integrated module production line. When in operation, the production line of the thermal management integrated module production workshop is marked as a monitoring object, and the raw material data YL, output data CC, and working time data GS of the monitoring object during the production day are obtained and numerically calculated to obtain the operation coefficient YX of the monitoring object; the monitoring object is marked as a normal object or an abnormal object based on the operation coefficient YX, and the ratio of the number of abnormal objects to the monitoring objects in the production workshop is marked as the abnormal coefficient. Whether the operation efficiency of the production workshop during the production day meets the requirements is determined based on the abnormal coefficient; the scrap value and scrap average value of the abnormal object are obtained, and a whole-line maintenance signal or a key maintenance signal is generated based on the scrap value and the scrap average value and sent to the operation monitoring platform.

[0039] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0040] The above formulas are all obtained by collecting a large amount of data and performing software simulation to obtain a formula that is close to the actual value. The coefficients in the formula are set by those skilled in the art based on actual conditions; for example: formula YX = α1*CC / GS+α2*CC-α3*YL; those skilled in the art collect multiple sets of sample data and set corresponding operating coefficients for each set of sample data; the set operating coefficients and the collected sample data are substituted into the formula, and any three formulas form a system of three linear equations. The calculated coefficients are screened and averaged, and the values ​​of α1, α2, and α3 are obtained as 4.28, 2.69, and 2.17, respectively;

[0041] The size of the coefficient is to quantify each parameter to obtain a specific numerical value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding operating coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the operating coefficient is proportional to the value of the output data.

[0042] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0043] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An operation monitoring system for a new energy thermal management integrated module production line, characterized in that: It includes an operation monitoring platform, which is communicatively connected to a production efficiency monitoring module, a scrap monitoring module and a storage module; The production efficiency monitoring module is used to monitor and analyze the production efficiency of the thermal management integrated module production workshop: mark the production line of the thermal management integrated module production workshop as the monitoring object, obtain the raw material data YL, output data CC and working time data GS of the monitoring object on the production day, and obtain the operation coefficient YX of the monitoring object on the production day by numerically calculating the raw material data YL, output data CC and working time data GS; obtain the operation threshold value YXmin through the storage module, compare the operation coefficient YX of the monitoring object on the production day with the operation threshold value YXmin, and mark the monitoring object as a normal object or an abnormal object through the comparison result; mark the ratio of the number of abnormal objects to the monitoring objects in the production workshop as the abnormal coefficient, obtain the abnormal threshold value through the storage module, compare the abnormal coefficient with the abnormal threshold value, and determine whether the operation efficiency of the production workshop on the production day meets the requirements through the comparison result; The scrap monitoring module is used to monitor and analyze the scrap status of products of abnormal objects: marking the scrap quantity of abnormal objects as the scrap value of the abnormal objects, obtaining the scrap threshold through the storage module, comparing the scrap value with the scrap threshold, and judging whether the scrap status meets the requirements based on the comparison result.

2. The operation monitoring system of a new energy thermal management integrated module production line according to claim 1 is characterized in that: The raw material data YL is the weight of filler consumed by the monitored object during the production day, the output data CC is the number of finished products produced by the monitored object during the production day, and the working time data GS is the operating time of the monitored object during the production day.

3. The operation monitoring system of a new energy thermal management integrated module production line according to claim 2 is characterized in that: The specific process of comparing the operating coefficient YX of the monitored object during the production day with the operating threshold value YXmin includes: if the operating coefficient YX is less than the operating threshold value YXmin, it is determined that the operating efficiency of the monitored object during the production day does not meet the requirements, and the corresponding monitored object is marked as an abnormal object; if the operating coefficient YX is greater than or equal to the operating threshold value YXmin, it is determined that the operating efficiency of the monitored object during the production day meets the requirements, and the corresponding monitored object is marked as a normal object.

4. The operation monitoring system of a new energy thermal management integrated module production line according to claim 3 is characterized in that: The specific process of comparing the abnormality coefficient with the abnormality threshold includes: if the abnormality coefficient is less than the abnormality threshold, it is determined that the operating efficiency of the production workshop during the production day meets the requirements, and the abnormal object is sent to the operation monitoring platform. After receiving the abnormal object, the operation monitoring platform sends the abnormal object to the scrap monitoring module; if the abnormality coefficient is greater than or equal to the abnormality threshold, it is determined that the operating efficiency of the production workshop during the production day does not meet the requirements, a raw material abnormality signal is generated and sent to the operation monitoring platform. After receiving the raw material abnormality signal, the operation monitoring platform sends the raw material abnormality signal to the mobile phone terminal of the manager.

5. The operation monitoring system of a new energy thermal management integrated module production line according to claim 4 is characterized in that: The specific process of comparing the scrap value with the scrap threshold includes: if the scrap value is less than the scrap threshold, a whole-line maintenance signal is generated and sent to the operation monitoring platform, and after receiving the whole-line maintenance signal, the operation monitoring platform sends the whole-line maintenance signal to the mobile phone terminal of the manager; if the scrap value is greater than or equal to the scrap threshold, a scrap distribution analysis is performed.

6. The operation monitoring system of a new energy thermal management integrated module production line according to claim 5 is characterized in that: The specific process of scrap distribution analysis includes: the scrap quantity of all processing equipment in the abnormal object constitutes a scrap set, the variance of the scrap set is calculated to obtain the scrap average value, the scrap average threshold is obtained through the storage module, and the scrap average value is compared with the scrap average threshold: if the scrap average value is less than the scrap average threshold, a whole line maintenance signal is generated and sent to the operation monitoring platform, and the operation monitoring platform sends the whole line maintenance signal to the mobile phone terminal of the manager after receiving the whole line maintenance signal; if the scrap average value is greater than or equal to the scrap average threshold, a key maintenance signal is generated and sent to the operation monitoring platform, and the operation monitoring platform sends the key maintenance signal to the mobile phone terminal of the manager after receiving the key maintenance signal.

7. An operation monitoring system for a new energy thermal management integrated module production line according to any one of claims 1 to 6, characterized in that: The working method of the operation monitoring system of the new energy thermal management integrated module production line includes the following steps: Step 1: Monitor and analyze the production efficiency of the thermal management integrated module production workshop: mark the production line of the thermal management integrated module production workshop as the monitoring object, obtain the raw material data YL, output data CC and working time data GS of the monitoring object during the production day, and perform numerical calculations to obtain the operating coefficient YX of the monitoring object; Step 2: Mark the monitored object as a normal object or an abnormal object through the operation coefficient YX, mark the ratio of the number of abnormal objects to the monitored objects in the production workshop as the abnormal coefficient, and judge whether the operation efficiency of the production workshop on the production day meets the requirements through the abnormal coefficient; Step 3: Monitor and analyze the product scrapping situation of abnormal objects: obtain the scrap value and scrap average value of the abnormal objects, generate a whole-line maintenance signal or a key maintenance signal through the scrap value and scrap average value, and send it to the operation monitoring platform.

Images