MES intelligent manufacturing control system

Abstract

Disclosed in the present invention is an MES intelligent manufacturing control system, comprising a produced product acquisition module, a production consumption acquisition module, a raw material transportation acquisition module, a production device acquisition module, a device image acquisition module, a monitoring device acquisition module, a conveying device acquisition module, a data processing module, and an information sending module. The produced product acquisition module is used for acquiring produced product information; the production consumption acquisition module is used for acquiring production consumption related information; the raw material transportation acquisition module is used for acquiring raw material transportation related information; the production device acquisition module is used for acquiring production device related information; the device image acquisition module is used for acquiring production device image information; the conveying device acquisition module is used for acquiring conveying device related information; and the monitoring device acquisition module is used for acquiring monitoring device related information. The present invention can achieve more comprehensive and intelligent manufacturing control.

Description

A MES intelligent manufacturing control system Technical Field

[0001] This invention relates to the field of control systems, and more specifically to a MES (Manufacturing Execution System) intelligent manufacturing control system. Background Technology

[0002] MES, or Manufacturing Execution System, typically consists of multiple subsystems and processes. The MES manufacturing control process is a component of the MES system, and the MES manufacturing control system is an important tool for achieving efficient, flexible, and intelligent production in modern manufacturing.

[0003] Existing manufacturing control systems are mostly single-type controls, and their overall control effect is not good enough to meet actual use requirements, which has a certain impact on the use of manufacturing control systems. Therefore, a MES intelligent manufacturing control system is proposed.

[0004] Summary of the Invention

[0005] The technical problem to be solved by this invention is: how to address the issue that existing manufacturing control systems are mostly single-type controls with insufficient overall control effect, failing to meet actual usage requirements and thus impacting the use of manufacturing control systems. This invention provides a MES intelligent manufacturing control system.

[0006] The present invention solves the above-mentioned technical problems through the following technical solutions: the present invention includes a production product acquisition module, a production consumption acquisition module, a raw material transportation acquisition module, a production equipment acquisition module, an equipment image acquisition module, a monitoring equipment acquisition module, a conveying equipment acquisition module, a data processing module, and an information transmission module;

[0007] The production product acquisition module is used to collect production product information;

[0008] The production consumption acquisition module is used to collect relevant information on production consumption.

[0009] The raw material transportation acquisition module is used to collect information related to raw material transportation.

[0010] The production equipment acquisition module is used to collect relevant information about production equipment.

[0011] The equipment image acquisition module is used to acquire image information of production equipment;

[0012] The conveying equipment acquisition module is used to collect relevant information about the conveying equipment.

[0013] The monitoring equipment acquisition module is used to collect information related to the monitoring equipment;

[0014] The data processing module is used to process production product information, production consumption information, raw material transportation information and production equipment information to generate production control information.

[0015] The data processing module processes the image information and related information of the production equipment to obtain the production equipment control information; the data processing module processes the related information of the monitoring equipment to generate the monitoring equipment control information.

[0016] The information sending module is used to send the production control information, production equipment management information and monitoring equipment management information to a preset receiving terminal after they are generated.

[0017] Furthermore, the specific processing procedure for the production equipment control information is as follows: extract the collected production product information, import the production product information into the Internet database, and collect the optimal production process, optimal production program version, and optimal production equipment model of the corresponding production product information from the Internet data;

[0018] Next, relevant information about the production equipment is extracted. This information includes the current production process, the current production program version, and the current equipment model.

[0019] First, compare the current equipment model with the optimal production equipment model. If the current equipment model is different from the optimal production equipment model, directly generate production equipment control information.

[0020] If the current equipment model is the same as the optimal production equipment model, then the optimal production process and optimal production procedure version will be analyzed.

[0021] The current equipment production process is compared with the optimal production process. When the current equipment production process differs from the optimal production process, production equipment control information is generated.

[0022] The current equipment production program version is compared with the optimal production program version. When the versions are different, production equipment control information is generated.

[0023] Furthermore, the specific processing procedure for the production control information is as follows: extracting the collected production product information, production consumption information, raw material transportation information, and production equipment information;

[0024] Production consumption-related information is marked as Z. Production equipment-related information includes unit production quantity information, which is marked as G. Raw material transportation information includes the unit time conveying quantity of raw material transportation equipment and the speed information of raw material transportation equipment. The unit raw material consumption quantity Gz is obtained by the formula G*Z=Gz. When the unit raw material consumption quantity Gz is greater than the preset value, the unit time conveying quantity of raw material transportation equipment is less than the preset value, or the speed information of raw material transportation equipment is less than the preset value, production control information is generated.

[0025] Furthermore, after the production section control information is generated, the raw material transportation information is extracted. The raw material transportation information also includes the raw material storage location, the location of the receiving equipment, the real-time raw material transportation route, and the raw material transportation equipment information.

[0026] The database of road locations for raw material storage and receiving equipment is used to retrieve all transportation route information for the locations of raw material storage and receiving equipment, resulting in x transportation routes. Then, the road width information of the x transportation routes is collected and marked as K. Finally, the length of all transportation routes is measured and marked as L.

[0027] Assign a correction value U1 to K and a correction value U2 to L, where U1 + U2 = 1 and U1 ≥ 2U2;

[0028] The route evaluation parameter KL is obtained by using the formula K*U1+L*U2=KL. Then, the route evaluation parameter KL of all transportation routes is extracted, and the route corresponding to the maximum value of KL is selected as the final raw material transportation route.

[0029] The raw material transport equipment information is extracted, including the full-load transport speed information of the standard raw material transport equipment and the actual full-load transport speed information. When the difference between the actual full-load transport speed information and the full-load transport speed information of the standard raw material transport equipment is less than a preset value, the raw material transport equipment is sent with speed-up control information. Upon receiving the speed-up control information, the raw material transport equipment monitors its real-time transport speed information again. When the real-time transport speed information remains unchanged, transport equipment maintenance information is generated and sent to the preset receiving terminal.

[0030] Furthermore, the specific processing procedure for the production equipment control information is as follows: extracting the collected production equipment image information and related production equipment information;

[0031] The production equipment image information is extracted, which includes real-time image information of the production conveying equipment;

[0032] The real-time image information of the conveying equipment is the image information of the conveying equipment transporting production materials / finished products. After the real-time image information of the conveying equipment is processed to make it clear, a clear image of the conveying equipment is obtained, and then the acquisition area is set on the clear image of the conveying equipment.

[0033] Then, information on the transport of items is collected in the collection area to obtain real-time transport evaluation parameters and offset evaluation parameters;

[0034] Then extract the relevant information about the production equipment, which also includes the current conveying speed information, which is the current conveying speed of the conveying equipment in the production equipment.

[0035] The real-time conveying evaluation parameters and the current conveying speed are processed to obtain the conveying speed evaluation parameters. When the conveying speed evaluation parameters are abnormal, production equipment control information is generated.

[0036] When the offset evaluation parameters are abnormal, production equipment control information is generated.

[0037] Furthermore, sampling points a and b are set on the conveying equipment, and line segment Y1 is obtained by connecting sampling points a and b. Line segment Y1 is parallel to the two outer edges of the conveying equipment.

[0038] With point a as the endpoint, draw a line segment perpendicular to both sides of the conveying equipment, and label them Y2 and Y3 respectively;

[0039] With point b as the endpoint, draw a line segment perpendicular to both sides of the conveying equipment, and mark them as Y4 and Y5;

[0040] Y2 and Y4 are on the same side, and Y3 and Y5 are on the same side;

[0041] Mark the intersection of Y2 and the outer edge of the conveyor as point c, and the intersection of Y3 and the outer edge of the conveyor as point d;

[0042] Mark the intersection of Y4 and the outer edge of the conveyor as point e, and the intersection of Y5 and the outer edge of the conveyor as point f;

[0043] Connect point c with point e to obtain line segment W1; connect point d with point f to obtain line segment W2.

[0044] The area enclosed by line segments Y2, W1, Y3, Y4, Y5, and W2 is the data collection area.

[0045] Furthermore, the process of acquiring the real-time conveying evaluation parameters is as follows: extract the real-time image information of the conveying equipment, analyze the real-time image information of the conveying equipment, record the time point when the conveyed production materials / finished products enter the collection area and mark it as T1, then record the time point when the conveyed production materials / finished products leave the collection area and mark it as T2, and then mark the length of the collection area as H.

[0046] The real-time transmission evaluation parameter Ht can be obtained by using the formula H / (T2-T1)*α=Ht;

[0047] The specific process for obtaining the offset evaluation parameters is as follows: Extract the acquired collection area, select the center point of the collection area to draw a central axis Yz, collect the distance between the center point of the conveyed production material / finished product and the central axis Yz, obtain the offset parameter of a single production material / finished product, obtain the offset parameters of x consecutive production materials / finished products, remove the maximum and minimum values ​​of the offset parameters of the x production materials / finished products, calculate the average value of the offset parameters of the remaining x-2 production materials / finished products, and thus obtain the offset evaluation parameters.

[0048] Furthermore, the specific processing procedure for the monitoring equipment control information is as follows: extract the collected monitoring equipment related information, which includes monitoring equipment height information and monitoring equipment quantity information;

[0049] The monitoring equipment consists of three wind force monitoring devices installed on both sides of the conveyor equipment in the intelligent manufacturing production line to collect the ambient wind force.

[0050] The height information of the monitoring equipment includes the height of the first equipment, the height of the second equipment, and the height of the third equipment. Three monitoring devices installed on the same lifting mast are considered as a group.

[0051] The quantity information for monitoring equipment refers to the number of groups of monitoring equipment;

[0052] Next, the relevant information of the production equipment is extracted. The relevant information of the production equipment includes the height of the conveying surface of the production material / finished product conveying equipment, that is, the height of the conveying surface of the production material / finished product.

[0053] The first height difference is obtained by calculating the difference between the height of the first equipment and the height of the material / finished product conveying surface;

[0054] The second height difference is obtained by calculating the difference between the height of the second equipment and the height of the material / finished product conveying surface;

[0055] The difference between the height of the third equipment and the height of the material / finished product conveying surface is calculated to obtain the third height difference;

[0056] When any of the first height difference, second height difference, and third height difference is abnormal, monitoring equipment control information is generated. The production equipment related information includes the length of the production material / finished product conveying equipment. The ratio of the length of the production material / finished product conveying equipment to the number of monitoring equipment is calculated to obtain the quantity assessment parameter. When the quantity assessment parameter is less than the preset value, monitoring equipment control information is generated.

[0057] Furthermore, the monitoring equipment information also includes the monitoring information collected by the monitoring equipment. When any monitoring information obtained exceeds a preset value and exceeds a preset time, environmental control information is generated and sent to a preset receiving terminal.

[0058] Furthermore, the anomaly determination process for the first height difference, the second height difference, and the third height difference is as follows: the first height difference is extracted, and when the first height difference exceeds a preset range, it indicates that there is an anomaly.

[0059] When the second height difference exceeds the preset range, it indicates that there is an anomaly.

[0060] When the third height difference exceeds the preset range, it indicates that there is an abnormality.

[0061] Compared with existing technologies, this invention has the following advantages: This MES intelligent manufacturing control system can collect more comprehensive information related to the intelligent manufacturing process, realize more comprehensive and intelligent control in the intelligent manufacturing process, update relevant production equipment through production equipment management information, ensure intelligent updates of production processes, production procedures and production equipment, thereby ensuring production stability and product quality. At the same time, it analyzes and processes production consumption information and relevant information of raw material transportation equipment to generate production control information to ensure a stable supply of raw materials and reduce output reduction caused by insufficient supply. It realizes intelligent control in the initial stage of production. In addition, during the transportation of production materials / finished products, it monitors the transportation process, promptly detects and controls abnormalities in the transportation equipment, thereby ensuring transportation stability. This makes the system more comprehensive and intelligent, and more worthy of widespread use. Attached Figure Description

[0062] Figure 1 is a system block diagram of the present invention;

[0063] Figure 2 is a schematic diagram of the data collection area setting of the present invention;

[0064] Figure 3 is a schematic diagram of the monitoring equipment setup of the present invention. Detailed Implementation

[0065] The embodiments of the present invention are described in detail below. These embodiments are implemented based on the technical solution of the present invention, and provide detailed implementation methods and specific operation processes. However, the scope of protection of the present invention is not limited to the following embodiments.

[0066] As shown in Figures 1 to 3, this embodiment provides a technical solution: a MES intelligent manufacturing control system, including a production product acquisition module, a production consumption acquisition module, a raw material transportation acquisition module, a production equipment acquisition module, an equipment image acquisition module, a monitoring equipment acquisition module, a conveying equipment acquisition module, a data processing module, and an information sending module;

[0067] The product acquisition module is used to collect product information.

[0068] The production consumption acquisition module is used to collect information related to production consumption.

[0069] The raw material transportation data acquisition module is used to collect information related to raw material transportation.

[0070] The production equipment data acquisition module is used to collect information related to production equipment.

[0071] The equipment image acquisition module is used to acquire image information of production equipment;

[0072] The conveyor equipment data acquisition module is used to collect information related to the conveyor equipment.

[0073] The monitoring equipment acquisition module is used to collect relevant information about the monitoring equipment;

[0074] The data processing module is used to process production product information, production consumption information, raw material transportation information, and production equipment information to generate production control information.

[0075] The data processing module processes the image information and related information of the production equipment to obtain the production equipment control information; the data processing module processes the related information of the monitoring equipment to generate the monitoring equipment control information.

[0076] The information sending module is used to send the production control information, production equipment management information and monitoring equipment management information to the preset receiving terminal after they are generated.

[0077] This invention enables more comprehensive collection of relevant information during the intelligent manufacturing process, achieving more comprehensive and intelligent control of the intelligent manufacturing workflow. By managing production equipment information, it updates production equipment, ensuring intelligent updates to production processes, procedures, and equipment, thereby guaranteeing production stability and quality. Simultaneously, it analyzes and processes production consumption information and raw material transportation equipment information to generate production control information, ensuring a stable supply of raw materials and reducing output reductions due to insufficient supply. This achieves intelligent control in the initial production stage. Furthermore, during the transportation of production materials / finished products, it monitors the transportation equipment, promptly identifying and controlling any abnormalities to ensure transportation stability, thus enabling the system to achieve more comprehensive intelligent control.

[0078] The specific processing procedure for production equipment control information is as follows: extract the collected production product information, import the production product information into the Internet database, and collect the optimal production process, optimal production program version and optimal production equipment model of the corresponding production product information from the Internet data.

[0079] Next, relevant information about the production equipment is extracted. This information includes the current production process, the current production program version, and the current equipment model.

[0080] First, compare the current equipment model with the optimal production equipment model. If the current equipment model is different from the optimal production equipment model, the production equipment control information is generated directly. At this time, the production equipment control information will show that the production equipment model is relatively old and it is recommended to update the equipment to improve production quality and efficiency.

[0081] If the current equipment model is the same as the optimal production equipment model, then the optimal production process and optimal production procedure version will be analyzed.

[0082] The current equipment production process is compared with the optimal production process. When the current equipment production process differs from the optimal production process, production equipment control information is generated. The specific content of the production equipment control information is to update the production process after the current production task is completed.

[0083] The current equipment production program version is compared with the optimal production program version. When the versions are different, production equipment control information is generated. The specific content of the production equipment control information is to update the production program version after the current production task is completed.

[0084] Through the above process, abnormalities in production conditions can be detected in a timely manner, thereby enabling comprehensive control over production equipment and improving production quality and efficiency.

[0085] The specific processing procedure for production control information is as follows: extract the collected production product information, production consumption information, raw material transportation information, and production equipment information;

[0086] Production consumption-related information is labeled Z. Production equipment-related information includes unit production quantity information, which is labeled G. Raw material transportation information includes the unit time conveying quantity of raw material transportation equipment and the speed information of raw material transportation equipment. The unit raw material consumption Gz is obtained by the formula G*Z=Gz. When the unit raw material consumption Gz is greater than the preset value, the unit time conveying quantity of raw material transportation equipment is less than the preset value, or the speed information of raw material transportation equipment is less than the preset value, production control information is generated. At this time, the specific content of the production control information is to increase the number of raw material transportation equipment for raw material transportation or control the operating speed of raw material transportation equipment to improve transportation efficiency.

[0087] After the production control information is generated, the raw material transportation information is extracted. The raw material transportation information also includes the raw material storage location, the location of the receiving equipment, the real-time raw material transportation route, and the raw material transportation equipment information.

[0088] The database of road locations for raw material storage and receiving equipment is used to retrieve all transportation route information for the locations of raw material storage and receiving equipment, resulting in x transportation routes. Then, the road width information of x transportation routes is collected and marked as K. Finally, the length of all transportation routes is measured and marked as L, where x ≥ 10.

[0089] Assign a correction value U1 to K and a correction value U2 to L, where U1 + U2 = 1 and U1 ≥ 2U2;

[0090] The route evaluation parameter KL is obtained by using the formula K*U1+L*U2=KL. Then, the route evaluation parameter KL of all transportation routes is extracted, and the route corresponding to the maximum value of KL is selected as the final raw material transportation route.

[0091] Through the above process, it is possible to better plan the rapid transportation of large quantities of raw materials, thereby ensuring stable production efficiency; extract the information of raw material transportation equipment, which includes the full-load transportation speed information of standard raw material transportation equipment and the actual full-load transportation speed information. When the difference between the actual full-load transportation speed information and the full-load transportation speed information of standard raw material transportation equipment is less than a preset value, speed-up control information is sent to the raw material transportation equipment. Upon receiving the speed-up control information, the raw material transportation equipment monitors its real-time transportation speed information again. When the real-time transportation speed information remains unchanged, transportation equipment maintenance information is generated and sent to the preset receiving terminal.

[0092] Through the above process, abnormalities in transportation equipment maintenance information can be detected in a timely manner, thus preventing situations where transportation efficiency is low.

[0093] The specific processing procedure for production equipment control information is as follows: Extract the collected production equipment image information and related production equipment information;

[0094] The production equipment image information is extracted, which includes real-time image information of the production conveying equipment;

[0095] The real-time image information of the conveying equipment is the image information of the conveying equipment transporting production materials / finished products. After the real-time image information of the conveying equipment is processed to make it clear, a clear image of the conveying equipment is obtained, and then the acquisition area is set on the clear image of the conveying equipment.

[0096] Then, information on the transport of items is collected in the collection area to obtain real-time transport evaluation parameters and offset evaluation parameters;

[0097] Then extract the relevant information about the production equipment, which also includes the current conveying speed information, which is the current conveying speed of the conveying equipment in the production equipment.

[0098] The real-time conveying evaluation parameters and the current conveying speed are processed to obtain the conveying speed evaluation parameters. When the conveying speed evaluation parameters are abnormal, production equipment control information is generated. At this time, the specific content of the production equipment control information is: the conveying equipment speed is abnormal and the conveying speed of the conveying equipment needs to be adjusted.

[0099] When the offset evaluation parameters are abnormal, production equipment control information is generated. The specific content of the production equipment control information is that the equipment is abnormal and the abnormality of the conveying equipment needs to be eliminated. The abnormality of the equipment is that the production materials / finished products being conveyed by the conveying equipment have an abnormal offset, which may cause the production materials / finished products to fall off the conveying equipment.

[0100] Set up collection points a and b on the conveying equipment. After connecting collection points a and b, obtain line segment Y1. Line segment Y1 is parallel to the two outer edges of the conveying equipment.

[0101] With point a as the endpoint, draw a line segment perpendicular to both sides of the conveying equipment, and label them Y2 and Y3 respectively;

[0102] With point b as the endpoint, draw a line segment perpendicular to both sides of the conveying equipment, and mark them as Y4 and Y5;

[0103] Y2 and Y4 are on the same side, and Y3 and Y5 are on the same side;

[0104] Mark the intersection of Y2 and the outer edge of the conveyor as point c, and the intersection of Y3 and the outer edge of the conveyor as point d;

[0105] Mark the intersection of Y4 and the outer edge of the conveyor as point e, and the intersection of Y5 and the outer edge of the conveyor as point f;

[0106] Connect point c with point e to obtain line segment W1; connect point d with point f to obtain line segment W2.

[0107] The area enclosed by line segments Y2, W1, Y3, Y4, Y5, and W2 is the data collection area.

[0108] The process of acquiring real-time conveying evaluation parameters is as follows: Extract the real-time image information of the conveying equipment, analyze the real-time image information of the conveying equipment, record the time point when the conveyed production materials / finished products enter the collection area and mark it as T1, then record the time point when the conveyed production materials / finished products leave the collection area and mark it as T2, and mark the length of the collection area as H, that is, the length of Y1.

[0109] The real-time transmission evaluation parameter Ht can be obtained by using the formula H / (T2-T1)*α=Ht;

[0110] The specific process of offset evaluation parameters is as follows: Extract the acquired collection area, select the center point of the collection area and draw a central axis Yz, which can be Y1. Collect the distance between the center point of the conveyed production material / finished product and the central axis Yz, obtain the offset parameter of a single production material / finished product, collect the offset parameters of x consecutive production materials / finished products, remove the maximum and minimum values ​​of the offset parameters of x production materials / finished products, calculate the average value of the offset parameters of the remaining x-2 production materials / finished products, and obtain the offset evaluation parameters.

[0111] Through the above process, more accurate real-time transmission evaluation parameters and offset evaluation parameters can be obtained, thereby ensuring the accuracy of the generated production equipment control information.

[0112] The specific processing procedure for monitoring equipment control information is as follows: Extract the relevant information of the collected monitoring equipment, which includes the height information and the number of monitoring equipment;

[0113] The monitoring equipment consists of three wind monitoring devices installed on both sides of the conveyor equipment in the intelligent manufacturing production line to collect the ambient wind force. If the ambient wind force of the conveyor equipment in the intelligent manufacturing production line is too strong, it may cause production materials / finished products to be blown off the conveyor equipment of the intelligent manufacturing production line.

[0114] The height information of the monitoring equipment includes the height of the first equipment, the height of the second equipment, and the height of the third equipment. Three monitoring devices installed on the same lifting mast are considered as a group.

[0115] By setting monitoring equipment at different heights, the wind force at different heights can be collected, thereby obtaining more accurate environmental wind force information and enabling more comprehensive monitoring of conveyor equipment in intelligent manufacturing production lines.

[0116] The quantity information for monitoring equipment refers to the number of groups of monitoring equipment;

[0117] Next, the relevant information of the production equipment is extracted. The relevant information of the production equipment includes the height of the conveying surface of the production material / finished product conveying equipment, that is, the height of the conveying surface of the production material / finished product.

[0118] The first height difference is obtained by calculating the difference between the height of the first equipment and the height of the material / finished product conveying surface;

[0119] The second height difference is obtained by calculating the difference between the height of the second equipment and the height of the material / finished product conveying surface;

[0120] The difference between the height of the third equipment and the height of the material / finished product conveying surface is calculated to obtain the third height difference;

[0121] When any one of the first height difference, the second height difference, and the third height difference is abnormal, monitoring equipment control information is generated.

[0122] When the first height difference is abnormal, the content of the monitoring equipment control information is to adjust the height of the first equipment;

[0123] When the second height difference is abnormal, the content of the monitoring equipment control information is to adjust the height of the second equipment;

[0124] When the third height difference is abnormal, the content of the monitoring equipment control information is to adjust the height of the third equipment;

[0125] The production equipment information includes the length of the production material / finished product conveying equipment. The ratio of the length of the production material / finished product conveying equipment to the number of monitoring equipment is calculated to obtain the quantity assessment parameter. When the quantity assessment parameter is less than the preset value, the monitoring equipment control information is generated.

[0126] At this point, the specific content of the monitoring equipment control information is to increase the number of monitoring devices to ensure the accuracy of monitoring results.

[0127] The monitoring equipment information also includes the monitoring information collected by the monitoring equipment. The monitoring information is the environmental wind force information collected by each group of monitoring equipment. When any monitoring information obtained exceeds the preset value and exceeds the preset time, environmental control information is generated and sent to the preset receiving terminal. The specific content of the environmental control information is that the environmental wind force needs to be adjusted to prevent production materials / finished products from being blown off during transportation due to excessive environmental wind force.

[0128] The abnormal determination process for the first height difference, the second height difference, and the third height difference is as follows: the first height difference is extracted, and when the first height difference exceeds the preset range, it indicates that there is an abnormality;

[0129] When the second height difference exceeds the preset range, it indicates that there is an anomaly.

[0130] When the third height difference exceeds the preset range, it indicates that there is an abnormality.

[0131] The preset ranges in the above processes are all different, and the size of the preset range is set according to the actual situation.

[0132] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0133] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., 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, the illustrative expressions of the above 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 one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0134] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A MES (Manufacturing Execution System) intelligent manufacturing control system, characterized in that, It includes a production product acquisition module, a production consumption acquisition module, a raw material transportation acquisition module, a production equipment acquisition module, an equipment image acquisition module, a monitoring equipment acquisition module, a conveying equipment acquisition module, a data processing module, and an information transmission module; The production product acquisition module is used to collect production product information; The production consumption acquisition module is used to collect relevant information on production consumption. The raw material transportation acquisition module is used to collect information related to raw material transportation. The production equipment acquisition module is used to collect relevant information about production equipment. The equipment image acquisition module is used to acquire image information of production equipment; The conveying equipment acquisition module is used to collect relevant information about the conveying equipment. The monitoring equipment acquisition module is used to collect information related to the monitoring equipment; The data processing module is used to process production product information, production consumption information, raw material transportation information and production equipment information to generate production control information. The data processing module processes the image information and related information of the production equipment to obtain the production equipment control information; The data processing module processes information related to the monitoring equipment and generates monitoring equipment control information; The information sending module is used to send the production control information, production equipment management information and monitoring equipment management information to a preset receiving terminal after they are generated.

2. The MES intelligent manufacturing control system according to claim 1, characterized in that: The specific processing procedure for the production equipment control information is as follows: extract the collected production product information, import the production product information into the Internet database, and collect the optimal production process, optimal production program version and optimal production equipment model of the corresponding production product information from the Internet data. Next, relevant information about the production equipment is extracted. This information includes the current production process, the current production program version, and the current equipment model. First, compare the current equipment model with the optimal production equipment model. If the current equipment model is different from the optimal production equipment model, directly generate production equipment control information. If the current equipment model is the same as the optimal production equipment model, then the optimal production process and optimal production procedure version will be analyzed. The current equipment production process is compared with the optimal production process. When the current equipment production process differs from the optimal production process, production equipment control information is generated. The current equipment production program version is compared with the optimal production program version. When the versions are different, production equipment control information is generated.

3. The MES intelligent manufacturing control system according to claim 1, characterized in that: The specific processing procedure for the production control information is as follows: extract the collected production product information, production consumption information, raw material transportation information and production equipment information; Production consumption-related information is marked as Z. Production equipment-related information includes unit production quantity information, which is marked as G. Raw material transportation information includes raw material transportation equipment's unit time transportation quantity information and raw material transportation equipment's speed information. The unit raw material consumption Gz is obtained by using the formula G*Z=Gz. When the unit raw material consumption Gz is greater than the preset value, the unit time conveying information of the raw material conveying equipment is less than the preset value, or the speed information of the raw material conveying equipment is less than the preset value, the production part control information is generated.

4. The MES intelligent manufacturing control system according to claim 3, characterized in that: After the production section control information is generated, the raw material transportation information is extracted. The raw material transportation information also includes the raw material storage location, the location of the receiving equipment, the real-time raw material transportation route, and the raw material transportation equipment information. The database of road locations for raw material storage and receiving equipment is used to retrieve all transportation route information for the locations of raw material storage and receiving equipment, resulting in x transportation routes. Then, the road width information of the x transportation routes is collected and marked as K. Finally, the length of all transportation routes is measured and marked as L. Assign a correction value U1 to K and a correction value U2 to L, where U1 + U2 = 1 and U1 ≥ 2U2; The route evaluation parameter KL is obtained by using the formula K*U1+L*U2=KL. Then, the route evaluation parameter KL of all transportation routes is extracted, and the route corresponding to the maximum value of KL is selected as the final raw material transportation route. The raw material transport equipment information is extracted, including the full-load transport speed information of the standard raw material transport equipment and the actual full-load transport speed information. When the difference between the actual full-load transport speed information and the full-load transport speed information of the standard raw material transport equipment is less than a preset value, the raw material transport equipment is sent with speed-up control information. Upon receiving the speed-up control information, the raw material transport equipment monitors its real-time transport speed information again. When the real-time transport speed information remains unchanged, transport equipment maintenance information is generated and sent to the preset receiving terminal.

5. The MES intelligent manufacturing control system according to claim 1, characterized in that: The specific processing procedure for the production equipment control information is as follows: Extract the collected production equipment image information and related production equipment information; The production equipment image information is extracted, which includes real-time image information of the production conveying equipment; The real-time image information of the conveying equipment is the image information of the conveying equipment transporting production materials / finished products. After the real-time image information of the conveying equipment is processed to make it clear, a clear image of the conveying equipment is obtained, and then the acquisition area is set on the clear image of the conveying equipment. Then, information on the transport of items is collected in the collection area to obtain real-time transport evaluation parameters and offset evaluation parameters; Then, extract the relevant information about the production equipment, which includes the current conveying speed information. The speed information refers to the current conveying speed of the conveyor equipment in the production facility; The real-time conveying evaluation parameters and the current conveying speed are processed to obtain the conveying speed evaluation parameters. When the conveying speed evaluation parameters are abnormal, production equipment control information is generated. When the offset evaluation parameters are abnormal, production equipment control information is generated.

6. The MES intelligent manufacturing control system according to claim 5, characterized in that: The process of setting the collection area is as follows: Set collection point a and collection point b on the conveying equipment, and obtain line segment Y1 by connecting collection point a and collection point b. Line segment Y1 is parallel to the two outer edges of the conveying equipment. With point a as the endpoint, draw a line segment perpendicular to both sides of the conveying equipment, and label them Y2 and Y3 respectively; With point b as the endpoint, draw a line segment perpendicular to both sides of the conveying equipment, and mark them as Y4 and Y5; Y2 and Y4 are on the same side, and Y3 and Y5 are on the same side; Mark the intersection of Y2 and the outer edge of the conveyor as point c, and the intersection of Y3 and the outer edge of the conveyor as point d; Mark the intersection of Y4 and the outer edge of the conveyor as point e, and the intersection of Y5 and the outer edge of the conveyor as point f; Connect point c with point e to obtain line segment W1; connect point d with point f to obtain line segment W2. The area enclosed by line segments Y2, W1, Y3, Y4, Y5, and W2 is the data collection area.

7. The MES intelligent manufacturing control system according to claim 5, characterized in that: The process of acquiring the real-time conveying evaluation parameters is as follows: extract the real-time image information of the conveying equipment, analyze the real-time image information of the conveying equipment, record the time point when the conveyed production materials / finished products enter the collection area and mark it as T1, then record the time point when the conveyed production materials / finished products leave the collection area and mark it as T2, and mark the length of the collection area as H. The real-time transmission evaluation parameter Ht can be obtained by using the formula H / (T2-T1)*α=Ht; The specific process for obtaining the offset evaluation parameters is as follows: Extract the acquired collection area, select the center point of the collection area to draw a central axis Yz, collect the distance between the center point of the conveyed production material / finished product and the central axis Yz, obtain the offset parameter of a single production material / finished product, obtain the offset parameters of x consecutive production materials / finished products, remove the maximum and minimum values ​​of the offset parameters of the x production materials / finished products, calculate the average value of the offset parameters of the remaining x-2 production materials / finished products, and thus obtain the offset evaluation parameters.

8. The MES intelligent manufacturing control system according to claim 1, characterized in that: The specific processing procedure for the monitoring equipment control information is as follows: extract the collected monitoring equipment related information, which includes the monitoring equipment height information and the number of monitoring equipment; The monitoring equipment consists of three wind force monitoring devices installed on both sides of the conveyor equipment in the intelligent manufacturing production line to collect the ambient wind force. The height information of the monitoring equipment includes the height of the first equipment, the height of the second equipment, and the height of the third equipment. Three monitoring devices installed on the same lifting mast are considered as a group. The quantity information for monitoring equipment refers to the number of groups of monitoring equipment; Next, the relevant information of the production equipment is extracted. The relevant information of the production equipment includes the height of the conveying surface of the production material / finished product conveying equipment, that is, the height of the conveying surface of the production material / finished product. The first height difference is obtained by calculating the difference between the height of the first equipment and the height of the material / finished product conveying surface; The second height difference is obtained by calculating the difference between the height of the second equipment and the height of the material / finished product conveying surface; The difference between the height of the third equipment and the height of the material / finished product conveying surface is calculated to obtain the third height difference; When any one of the first height difference, the second height difference, and the third height difference is abnormal, monitoring equipment control information is generated; The production equipment information includes the length of the production material / finished product conveying equipment. The ratio of the length of the production material / finished product conveying equipment to the number of monitoring equipment is calculated to obtain the quantity assessment parameter. When the quantity assessment parameter is less than the preset value, the monitoring equipment control information is generated.

9. The MES intelligent manufacturing control system according to claim 1, characterized in that: The monitoring equipment information also includes the monitoring information collected by the monitoring equipment. When any monitoring information obtained exceeds a preset value and exceeds a preset time, environmental control information is generated and sent to a preset receiving terminal.

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