Equipment scheduling method and system for automated production workshop

Abstract

The present invention discloses an equipment scheduling method and system for an automated production workshop, and belongs to the field of data processing technology. The method comprises the following steps: obtaining equipment that produces the same device on each production line, marking it as each target equipment of each production line, and monitoring the working environment data and equipment status data of each target equipment of each production line; obtaining the environmental abnormality evaluation value of each target equipment of each production line according to the working environment data of each target equipment of each production line, obtaining the equipment abnormality evaluation value of each target equipment of each production line according to the equipment status data of each target equipment of each production line, obtaining the number of target equipment of each production line, and obtaining the equipment scheduling demand degree evaluation value of each production line through comprehensive analysis; screening each scheduling demand production line according to the equipment scheduling demand degree evaluation value of each production line, and performing equipment scheduling on each scheduling demand production line, thereby achieving an improvement in overall production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an equipment scheduling method and system for an automated production workshop. Background Art

[0002] As the scale of enterprises expands and production efficiency improves, the demand for equipment scheduling is also growing. The equipment scheduling system ensures the efficient operation of equipment by scientifically and rationally arranging the use, maintenance and care of equipment, thereby improving the production efficiency and economic benefits of the enterprise.

[0003] The existing equipment scheduling system integrates and applies advanced technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence, and customizes and develops the equipment scheduling system according to the actual needs and production scenarios of the enterprise to build an efficient and intelligent equipment scheduling system.

[0004] For example, a workshop scheduling method, device and equipment announced in the invention patent with publication number: CN111325420B includes: obtaining the process-level batch information of an order; selecting a schedulable process-level batch in the process-level batch information according to the order process route; processing the schedulable process-level batch using a viral evolutionary genetic algorithm to obtain a processing result; and scheduling the schedulable process-level batch according to the processing result. In an embodiment of the invention, the process-level batch information is calculated by a process-level batching algorithm based on a design efficiency coefficient, thereby obtaining different batching schemes for different processes in the same order, and realizing the control of the batching results by a single parameter; the viral evolutionary genetic algorithm is encoded based on the process-level batch, and the schedulable process-level batch is used as the gene of the main population individual of the viral evolutionary genetic algorithm, which can better adapt to the process-level batch obtained in the preprocessing and effectively improve the efficiency of workshop scheduling.

[0005] For example, the workshop scheduling method, device, electronic device and storage medium announced in the invention patent with announcement number: CN113657742B include: obtaining the production status parameters of the workshop, and obtaining the state feature matrix based on the production status parameters; inputting the state feature matrix into the online strategy network to obtain the state action value at the current moment; based on the state action value at the current moment and the target scheduling rule library, obtaining the optimal scheduling rule at the current moment; based on the optimal scheduling rule at the current moment, executing the workshop scheduling instruction.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, the workshop scheduling system is unable to perform precise control according to the real-time operating conditions when performing scheduling operations, and there is a problem of uneven resource allocation. Some production line equipment is overloaded while others are idle, thereby reducing overall production efficiency. Summary of the invention

[0008] The embodiment of the present application provides an equipment scheduling method and system for an automated production workshop, thereby solving the problem in the prior art that the workshop scheduling system cannot perform precise control according to the real-time operating conditions during scheduling operations and has uneven resource allocation, thereby achieving an improvement in overall production efficiency.

[0009] An embodiment of the present application provides an equipment scheduling method and system for an automated production workshop, comprising the following steps: obtaining equipment that produces the same device on each production line, marking them as target equipment for each production line, and monitoring the working environment data and equipment status data of each target equipment for each production line; obtaining an environmental anomaly assessment value of each target equipment for each production line based on the working environment data of each target equipment for each production line, obtaining an equipment anomaly assessment value of each target equipment for each production line based on the equipment status data of each target equipment for each production line, obtaining the number of target equipment for each production line, and obtaining an equipment scheduling demand degree assessment value for each production line through comprehensive analysis; screening each production line with scheduling demand based on the equipment scheduling demand degree assessment value for each production line, and performing equipment scheduling on each production line with scheduling demand.

[0010] Furthermore, the step of obtaining the environmental anomaly assessment value of each target device of each production line according to the working environment data of each target device of each production line includes: obtaining the working environment data of each target device of each production line, including the electromagnetic strength, humidity and vibration frequency of each environmental monitoring point in the working area of ​​each target device; obtaining the preset critical electromagnetic strength, reference working humidity, allowable deviation humidity and critical vibration frequency from the equipment scheduling database; and obtaining the environmental anomaly assessment value of each target device of each production line through comprehensive analysis.

[0011] Furthermore, the step of obtaining the equipment abnormality assessment value of each target equipment of each production line according to the equipment status data of each target equipment of each production line includes: the equipment status data of each target equipment of each production line includes the equipment surface temperature and the equipment operation sound intensity; obtaining the preset reference equipment surface temperature, the allowable deviation equipment surface temperature, the reference equipment operation sound intensity and the allowable deviation equipment operation sound intensity from the equipment scheduling database; and obtaining the equipment abnormality assessment value of each target equipment of each production line through comprehensive analysis.

[0012] Furthermore, the step of comprehensively analyzing and obtaining an equipment scheduling demand degree assessment value for each production line includes: comprehensively analyzing the environmental abnormality assessment value of each target equipment of each production line and the equipment abnormality assessment value of each target equipment of each production line to obtain an equipment performance assessment value of each target equipment of each production line, screening and obtaining each abnormal equipment according to the equipment performance evaluation value of each target equipment, and counting the number of abnormal equipment of each production line; comprehensively analyzing and obtaining an equipment scheduling demand degree assessment value for each production line according to the environmental abnormality assessment value of each target equipment of each production line, the number of target equipment of each production line and the number of abnormal equipment of each production line.

[0013] Furthermore, the steps of screening out each abnormal device according to the equipment performance evaluation value of each target device and counting the number of abnormal devices on each production line include: obtaining the equipment performance evaluation threshold from the equipment scheduling database; comparing the equipment performance evaluation value of each target device on each production line with the equipment performance evaluation threshold; if the equipment performance evaluation value of a target device on each production line is greater than or equal to the equipment performance evaluation threshold, marking the target device as an abnormal device; if the equipment performance evaluation value of a target device on each production line is less than the equipment performance evaluation threshold, marking the target device as a normal device; and counting the abnormal devices.

[0014] Furthermore, the method for obtaining the equipment scheduling demand evaluation value of each production line is as follows:

[0015] ;

[0016] In the formula, represents the evaluation value of the equipment scheduling demand degree of the i-th production line, Indicates the equipment scheduling demand assessment impact factor corresponding to the preset environmental anomaly assessment value, Indicates the impact factor of the equipment scheduling demand evaluation corresponding to the preset target number of equipment, represents the environmental anomaly assessment value of the jth target device in the i-th production line, represents the target number of equipment for the i-th production line, represents the number of abnormal devices in the i-th production line, where i is the production line number, i=1,2,3,...,m, m is the total number of production lines, j is the target device number, j=1,2,3,..., , e is a natural constant.

[0017] Furthermore, the step of screening out each scheduling demand production line according to the equipment scheduling demand degree evaluation value of each production line includes: obtaining the equipment scheduling demand degree evaluation threshold from the equipment scheduling database; comparing the equipment scheduling demand degree evaluation value of each production line with the equipment scheduling demand degree evaluation threshold; if the equipment scheduling demand degree evaluation value of a production line is greater than or equal to the equipment scheduling demand degree evaluation threshold, marking the production line as a scheduling demand production line; if the equipment scheduling demand degree evaluation value of a production line is less than the equipment scheduling demand degree evaluation threshold, marking the production line as a production line with no scheduling demand; and aggregating the scheduling demand production lines to obtain each scheduling demand production line.

[0018] Furthermore, the step of scheduling equipment for each scheduling demand production line includes: obtaining the number of schedulable spare equipment; matching the equipment scheduling demand degree evaluation value of each scheduling demand production line to obtain the number of required equipment for each scheduling demand production line, and summing up the number of required equipment for each scheduling demand production line to obtain the total number of required equipment; comparing the total number of required equipment with the number of schedulable spare equipment, if the total number of required equipment is less than or equal to the number of schedulable spare equipment, then scheduling equipment according to the number of required equipment for each scheduling demand production line, if the total number of required equipment is greater than the number of schedulable spare equipment, then scheduling and allocating equipment according to the equipment scheduling demand degree evaluation value of each scheduling demand production line.

[0019] Furthermore, the step of scheduling allocation according to the equipment scheduling requirement degree evaluation value of each scheduling requirement production line includes: sorting each scheduling requirement production line in descending order according to the equipment scheduling requirement degree evaluation value of each scheduling requirement production line; giving priority to equipment scheduling of the scheduling requirement production line ranked first, and continuously calculating and updating the equipment scheduling requirement degree evaluation value of each scheduling requirement production line.

[0020] Furthermore, an equipment scheduling system for an automated production workshop is characterized by comprising a data acquisition module, a data analysis module, an equipment scheduling module and an equipment scheduling database; wherein the data acquisition module is used to acquire equipment producing the same device on each production line, mark them as target equipment of each production line, and monitor the working environment data and equipment status data of each target equipment of each production line; the data analysis module is used to obtain an environmental anomaly assessment value of each target equipment of each production line based on the working environment data of each target equipment of each production line, obtain an equipment anomaly assessment value of each target equipment of each production line based on the equipment status data of each target equipment of each production line, acquire the number of target equipment of each production line, and obtain an equipment scheduling demand degree assessment value of each production line through comprehensive analysis; the equipment scheduling module is used to screen each scheduling demand production line based on the equipment scheduling demand degree assessment value of each production line, and perform equipment scheduling on each scheduling demand production line.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. The present invention provides an equipment scheduling method and system for an automated production workshop, thereby effectively achieving reasonable scheduling and efficient utilization of equipment on the production line, thereby improving overall production efficiency and product quality, and reducing production costs and failure risks.

[0023] 2. The present invention conducts a comprehensive analysis based on the working environment and abnormal conditions of each target device on each production line, further evaluates the equipment performance of each target device, thereby identifying abnormal devices with potential problems, and further achieving overall control of the equipment performance on the production line.

[0024] 3. The present invention conducts a quantitative assessment of the equipment scheduling needs of each production line by comprehensively considering environmental anomalies, the total number of equipment and the number of abnormal equipment, so as to more comprehensively grasp the actual operating conditions of the production line, and further realize the refined management and timely response to the equipment scheduling needs on the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flow chart of an equipment scheduling method for an automated production workshop provided in an embodiment of the present application.

[0026] Figure 2 A graph showing changes in the equipment scheduling demand evaluation value of a production line in an automated production workshop provided in an embodiment of the present application.

[0027] Figure 3 A schematic diagram of the structure of an equipment scheduling system for an automated production workshop provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiment of the present application provides an equipment scheduling method and system for an automated production workshop, which solves the problem in the prior art that the workshop scheduling system cannot perform precise control according to the real-time operating conditions during scheduling operations and has uneven resource allocation. The method identifies and marks the key equipment that produces the same devices on each production line as target equipment, and monitors the working environment data and status data of these equipment in real time. Then, multiple factors such as environmental anomalies, equipment anomalies, and the number of target equipment are comprehensively considered, and the equipment scheduling demand degree evaluation value of each production line is obtained through comprehensive analysis. According to the equipment scheduling demand degree evaluation value, the production lines with high scheduling needs are screened out, and equipment scheduling is carried out in a targeted manner, thereby improving the overall production efficiency.

[0029] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0030] like Figure 1 As shown, it is a flow chart of an equipment scheduling method for an automated production workshop provided in an embodiment of the present application, the method comprising the following steps: obtaining equipment that produces the same device on each production line, marking them as target equipment of each production line, and monitoring the working environment data and equipment status data of each target equipment of each production line; obtaining an environmental anomaly assessment value of each target equipment of each production line according to the working environment data of each target equipment of each production line, obtaining an equipment anomaly assessment value of each target equipment of each production line according to the equipment status data of each target equipment of each production line, obtaining the number of target equipment of each production line, and obtaining an equipment scheduling demand degree assessment value of each production line through comprehensive analysis; screening each scheduling demand production line according to the equipment scheduling demand degree assessment value of each production line, and performing equipment scheduling on each scheduling demand production line.

[0031] In this embodiment, by timely discovering and solving equipment problems and reducing production downtime caused by equipment failures, the overall operating efficiency of the production line can be improved; at the same time, resource allocation is carried out according to the equipment scheduling demand evaluation value of each production line, which can ensure that resources are used reasonably and avoid resource waste and excessive investment. Among them, the environmental anomaly evaluation value is an evaluation result obtained after real-time monitoring and data analysis of the working environment of the target equipment on each production line, and the equipment anomaly evaluation value is an evaluation result based on the status data of the target equipment on each production line. The environmental anomaly evaluation value and the equipment anomaly evaluation value can help identify which equipment may be in an abnormal state due to environmental factors or equipment problems. The equipment scheduling demand evaluation value of each production line is an evaluation result that comprehensively considers multiple factors such as the environmental anomaly evaluation value, the equipment anomaly evaluation value, and the number of target equipment. It reflects the urgency and importance of each production line in equipment scheduling.

[0032] In addition, the equipment scheduling database is used to store relevant data of the equipment scheduling method of the automated production workshop, including: critical electromagnetic intensity, reference working humidity, allowable deviation humidity, critical vibration frequency, equipment performance evaluation threshold, equipment scheduling demand evaluation threshold, equipment scheduling demand evaluation impact factor corresponding to the preset environmental abnormality evaluation value, and equipment scheduling demand evaluation impact factor corresponding to the preset target equipment number of the jth target equipment of the i-th production line, etc. The data in the equipment scheduling database can be obtained by installing sensors on the equipment, collecting the operation data of the equipment in real time, and using the data acquisition system to collect data from sensors and other equipment, and transmitting it to the data processing center, or exchanging data with the equipment through industrial protocols to obtain real-time data and status information of the equipment.

[0033] Furthermore, the step of obtaining the environmental anomaly assessment value of each target device of each production line according to the working environment data of each target device of each production line includes: obtaining the working environment data of each target device of each production line, including the electromagnetic strength, humidity and vibration frequency of each environmental monitoring point in the working area of ​​each target device; obtaining the preset critical electromagnetic strength, reference working humidity, allowable deviation humidity and critical vibration frequency from the equipment scheduling database; and obtaining the environmental anomaly assessment value of each target device of each production line through comprehensive analysis.

[0034] In this embodiment, electromagnetic intensity refers to the electric field intensity in the working environment of the target device, which may come from the production equipment itself, the surrounding high-voltage lines, radio transmission towers, etc. The value of electromagnetic intensity can be obtained by professional electromagnetic field measuring instruments, such as electric field intensity meters, magnetic induction intensity meters, etc.; humidity refers to the content of water vapor in the working environment of the target device, and the value of humidity can be measured by thermometers, humidity sensors and other equipment; vibration frequency refers to the number of times an object vibrates per unit time, which may come from mechanical vibrations during the operation of the equipment, the operation of transmission parts, etc., and the value of vibration frequency can be measured by vibration measuring instruments, acceleration sensors and other equipment. At the same time, there may be certain mutual influences or associations between electromagnetic intensity, humidity and vibration frequency. For example, a high humidity environment may cause the insulation performance of electrical equipment to decrease, increasing the risk of electromagnetic leakage; and strong vibrations may damage the structure of the equipment, resulting in increased electromagnetic radiation leakage. When the electromagnetic intensity, humidity and vibration frequency exceed the normal range, they may have an adverse effect on the normal operation of the equipment and product quality. For example, excessive electromagnetic intensity may interfere with the normal signal transmission and reception of the equipment; excessive humidity may cause corrosion and short circuit of internal components of the equipment; excessive vibration may cause the equipment to lose accuracy and shorten its life, thereby increasing the environmental abnormality assessment value of each target equipment in each production line. By comprehensively analyzing parameters such as electromagnetic intensity, humidity and vibration frequency, the status and potential risks of the equipment operating environment can be accurately assessed, which helps enterprises to promptly discover and deal with problems in the equipment operating environment and avoid equipment failures and product quality problems.

[0035] The method for obtaining the environmental anomaly assessment value of each target device of each production line is as follows:

[0036] ;

[0037] In the formula, represents the environmental anomaly assessment value of the jth target device in the i-th production line, Indicates the impact factor of environmental anomaly assessment corresponding to the preset electromagnetic intensity, Indicates the environmental anomaly assessment impact factor corresponding to the humidity of the preset target device. Indicates the environmental anomaly assessment impact factor corresponding to the preset vibration frequency. represents the electromagnetic intensity of the kth environmental monitoring point of the jth target equipment on the i-th production line, represents the critical electromagnetic intensity, represents the humidity of the kth environmental monitoring point of the jth target equipment on the i-th production line, Indicates reference working humidity, Indicates the allowable deviation humidity, represents the vibration frequency of the kth environmental monitoring point of the jth target equipment on the i-th production line, represents the critical vibration frequency, k is the environmental monitoring point number, k=1,2,3,...,o, o is the number of environmental monitoring points.

[0038] ,and They are respectively the environmental anomaly assessment impact factors corresponding to the electromagnetic intensity, humidity and vibration frequency preset in the equipment scheduling database, and respectively represent the numerical values ​​of the influence degree of the electromagnetic intensity, humidity and vibration frequency of each target device of each production line on the environmental anomaly assessment value, and can be directly obtained from the equipment scheduling database when used. For example, the electromagnetic intensity, humidity or vibration frequency of each target device of each production line and the environmental anomaly assessment impact factors corresponding to the electromagnetic intensity, humidity or vibration frequency preset in the equipment scheduling database form a mapping set, and the electromagnetic intensity, humidity or vibration frequency of a target device of a certain production line is input into the mapping set to obtain the environmental anomaly assessment impact factor corresponding to the electromagnetic intensity, humidity or vibration frequency, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the weight factor in this embodiment is between 0 and 1.

[0039] Furthermore, the step of obtaining the equipment abnormality assessment value of each target equipment of each production line according to the equipment status data of each target equipment of each production line includes: the equipment status data of each target equipment of each production line includes the equipment surface temperature and the equipment operation sound intensity; obtaining the preset reference equipment surface temperature, the allowable deviation equipment surface temperature, the reference equipment operation sound intensity and the allowable deviation equipment operation sound intensity from the equipment scheduling database; and obtaining the equipment abnormality assessment value of each target equipment of each production line through comprehensive analysis.

[0040] In this embodiment, the surface temperature of the equipment refers to the temperature on the surface of the key components of the equipment, which is crucial for evaluating the operating status of the equipment, because too high a temperature may indicate that there are problems such as overheating and poor heat dissipation inside the equipment. The numerical value of the surface temperature of the equipment can be directly measured by using a contact temperature measurement tool such as a mercury thermometer, a semiconductor point thermometer or a thermocouple, or by using a non-contact temperature measurement tool such as an infrared thermometer to measure the infrared radiation emitted from the surface of the equipment; the sound intensity of the equipment operation refers to the sound energy generated by the equipment during operation. The sound intensity can reflect the operating status of the mechanical components inside the equipment. The numerical value of the sound intensity of the equipment operation can be obtained by a sound measuring instrument (such as a sound level meter). At the same time, there is a certain correlation between the surface temperature of the equipment and the sound intensity of the equipment operation. When the equipment is overheated inside, it may cause the mechanical components to expand, deform or have poor lubrication, thereby generating a louder operating sound. Conversely, when the sound of the equipment operation increases abnormally, it may also mean that there is a certain fault or problem inside the equipment, which may further lead to an increase in the temperature of the equipment, thereby increasing the abnormal evaluation value of the equipment for each target equipment of each production line. By comprehensively analyzing the two parameters of equipment surface temperature and equipment operation sound intensity, the operating status of the equipment can be more comprehensively evaluated. By comparing the parameter range during normal operation of the equipment with the current measured value, it can be evaluated whether the health status of the equipment is good and whether there are potential faults or problems.

[0041] The method for obtaining the device abnormality evaluation value of each target device of each production line is as follows:

[0042] ;

[0043] In the formula, represents the equipment abnormality evaluation value of the jth target equipment on the i-th production line, Indicates the equipment abnormality assessment impact factor corresponding to the preset equipment surface temperature. Indicates the equipment abnormality assessment impact factor corresponding to the preset equipment operation sound intensity, represents the equipment surface temperature of the jth target equipment in the i-th production line, Indicates the reference equipment surface temperature, Indicates the allowable deviation of the equipment surface temperature, represents the equipment operation sound intensity of the jth target equipment on the i-th production line, Indicates the sound intensity of the reference equipment. Indicates the allowable deviation of the equipment operation sound intensity.

[0044] and The equipment abnormality assessment impact factors corresponding to the equipment surface temperature and equipment operation sound intensity preset in the equipment scheduling database respectively represent the numerical values ​​of the degree of influence of the equipment surface temperature and equipment operation sound intensity of each target equipment of each production line on the equipment abnormality assessment value, and can be directly obtained from the equipment scheduling database when used. For example, the equipment surface temperature or equipment operation sound intensity of each target equipment of each production line is combined with the equipment abnormality assessment impact factors corresponding to the equipment surface temperature or equipment operation sound intensity preset in the equipment scheduling database to form a mapping set, and the equipment surface temperature or equipment operation sound intensity of a target equipment of a certain production line is input into the mapping set to obtain the equipment abnormality assessment impact factor corresponding to the equipment surface temperature or equipment operation sound intensity, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the weight factor in this embodiment is between 0 and 1.

[0045] Furthermore, the step of comprehensively analyzing and obtaining an equipment scheduling demand degree assessment value for each production line includes: comprehensively analyzing the environmental abnormality assessment value of each target equipment of each production line and the equipment abnormality assessment value of each target equipment of each production line to obtain an equipment performance assessment value of each target equipment of each production line, screening and obtaining each abnormal equipment according to the equipment performance evaluation value of each target equipment, and counting the number of abnormal equipment of each production line; comprehensively analyzing and obtaining an equipment scheduling demand degree assessment value for each production line according to the environmental abnormality assessment value of each target equipment of each production line, the number of target equipment of each production line and the number of abnormal equipment of each production line.

[0046] In this embodiment, the abnormality of the equipment operating environment often affects the operating state of the equipment, causing the equipment performance to decline or malfunction. Similarly, the abnormality of the equipment itself may also reflect the adverse effect of the environment on it. Environmental abnormalities and equipment abnormalities often do not exist in isolation. They may exist at the same time and interact with each other to jointly affect the performance of the equipment. For example, a high temperature environment may accelerate the aging of components inside the equipment, causing the temperature of the equipment to further increase, thereby causing more serious failures, thereby increasing the equipment performance evaluation value of each target equipment on each production line. By considering environmental abnormalities and equipment abnormalities at the same time, the overall performance of the equipment can be evaluated more comprehensively and accurately. When the environment or equipment is abnormal, comprehensive analysis can be timely discovered and warned, providing a time window for subsequent maintenance and improvement, which helps to reduce production interruptions and losses caused by equipment failure. The equipment performance evaluation value obtained by comprehensively analyzing the environmental abnormality evaluation value and the equipment abnormality evaluation value is a quantitative evaluation of the comprehensive performance of each target equipment on each production line under a specific environment and operating state, reflecting the actual operating capacity and efficiency of the equipment under current conditions. Through the equipment performance evaluation value, equipment with abnormal performance can be quickly screened out, providing a clear target for subsequent maintenance and processing. In addition, environmental anomalies may increase the failure rate and number of abnormalities of equipment, thereby affecting the stability and production efficiency of the production line. At the same time, the more target equipment there is in a production line, the greater the possibility of abnormal equipment, and the higher the demand for equipment scheduling. By comprehensively analyzing the environmental anomaly assessment value of each target equipment of each production line, the number of target equipment of each production line, and the number of abnormal equipment of each production line, the equipment scheduling demand degree assessment value obtained can reflect the equipment scheduling demand degree of each production line in real time. The higher the equipment scheduling demand degree assessment value, the more urgent the equipment scheduling demand of the production line. According to the comprehensive analysis results, targeted improvement and optimization suggestions can be put forward, such as strengthening equipment maintenance, improving the production environment, optimizing equipment layout, etc., to improve the stability and production efficiency of the production line.

[0047] The method for obtaining the equipment performance evaluation value of each target equipment of each production line is as follows:

[0048] ;

[0049] In the formula, represents the equipment performance evaluation value of the jth target equipment in the i-th production line, Indicates the equipment performance evaluation impact factor corresponding to the preset environmental abnormality evaluation value, Indicates the equipment performance evaluation impact factor corresponding to the preset equipment abnormality evaluation value, represents the environmental anomaly assessment value of the jth target device in the i-th production line, Indicates the equipment abnormality assessment value of the j-th target equipment in the i-th production line.

[0050] and The equipment performance evaluation influencing factors corresponding to the environmental anomaly evaluation values ​​and equipment anomaly evaluation values ​​preset in the equipment scheduling database respectively represent the numerical values ​​of the degree of influence of the environmental anomaly and equipment anomaly of each target equipment of each production line on the equipment performance evaluation value, and can be directly obtained from the equipment scheduling database when used. For example, the environmental anomaly evaluation value or equipment anomaly evaluation value of each target equipment of each production line and the equipment performance evaluation influencing factors corresponding to the environmental anomaly evaluation value or equipment anomaly evaluation value preset in the equipment scheduling database form a mapping set, and the environmental anomaly evaluation value or equipment anomaly evaluation value of a target equipment of a certain production line is input into the mapping set to obtain the equipment performance evaluation influencing factor corresponding to the environmental anomaly evaluation value or equipment anomaly evaluation value, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the weight factor in this embodiment is between 0 and 1.

[0051] Furthermore, the steps of screening out each abnormal device according to the equipment performance evaluation value of each target device and counting the number of abnormal devices on each production line include: obtaining the equipment performance evaluation threshold from the equipment scheduling database; comparing the equipment performance evaluation value of each target device on each production line with the equipment performance evaluation threshold; if the equipment performance evaluation value of a target device on each production line is greater than or equal to the equipment performance evaluation threshold, marking the target device as an abnormal device; if the equipment performance evaluation value of a target device on each production line is less than the equipment performance evaluation threshold, marking the target device as a normal device; and counting the abnormal devices.

[0052] In this embodiment, by automatically comparing the equipment performance evaluation values ​​of each target equipment in each production line, it is possible to quickly and accurately screen out equipment with abnormal performance from a large number of equipment; at the same time, it is possible to achieve real-time monitoring of equipment performance, and immediately mark and record once performance degradation or abnormal trends are found, which helps to timely discover potential problems and prevent problems from expanding. Based on the statistical results of abnormal equipment, equipment maintenance plans can be formulated more specifically, and for equipment or production lines that frequently have problems, maintenance efforts can be strengthened to reduce downtime.

[0053] Furthermore, the method for obtaining the equipment scheduling demand evaluation value of each production line is as follows:

[0054] ;

[0055] In the formula, represents the evaluation value of the equipment scheduling demand degree of the i-th production line, Indicates the equipment scheduling demand assessment impact factor corresponding to the preset environmental anomaly assessment value, Indicates the impact factor of the equipment scheduling demand evaluation corresponding to the preset target number of equipment, represents the environmental anomaly assessment value of the jth target device in the i-th production line, represents the target number of equipment for the i-th production line, represents the number of abnormal devices in the i-th production line, where i is the production line number, i=1,2,3,...,m, m is the total number of production lines, j is the target device number, j=1,2,3,..., , e is a natural constant.

[0056] In this embodiment, and The equipment scheduling demand degree assessment impact factors corresponding to the environmental anomaly assessment value preset in the equipment scheduling database and the preset target equipment quantity respectively represent the numerical values ​​of the degree of influence of the environmental anomaly and equipment quantity of each target equipment of each production line on the equipment scheduling demand degree assessment value, and can be directly obtained from the equipment scheduling database when used. For example, the environmental anomaly assessment value or target equipment quantity of each target equipment of each production line and the equipment scheduling demand degree assessment impact factors corresponding to the environmental anomaly assessment value or target equipment quantity preset in the equipment scheduling database form a mapping set, and the environmental anomaly assessment value or target equipment quantity of a target equipment of a certain production line is input into the mapping set to obtain the equipment scheduling demand degree assessment impact factor corresponding to the environmental anomaly assessment value or target equipment quantity, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the weight factor in this embodiment is between 0 and 1.

[0057] The equipment scheduling demand degree assessment impact factor corresponding to the preset environmental anomaly assessment value is set to 0.3, the equipment scheduling demand degree assessment impact factor corresponding to the preset target equipment quantity is set to 0.7, the total number of production lines is set to 5, the environmental anomaly assessment value of each target equipment of the i-th production line is set to 1, and the target number of equipment of the i-th production line is set to 10. When the number of abnormal equipment is different, the equipment scheduling demand degree assessment value data table of a production line based on an automated production workshop is shown in Table 1.

[0058] Table 1 Data table of equipment scheduling demand evaluation value of a production line based on automated production workshop

[0059]

[0060] like Figure 2 As shown in FIG. 1 , it is a diagram showing a change in the equipment scheduling demand evaluation value of a production line based on an automated production workshop according to an embodiment of the present application. Figure 2As can be seen from Table 1, when the equipment scheduling demand degree assessment impact factor corresponding to the preset environmental abnormality assessment value, the equipment scheduling demand degree assessment impact factor corresponding to the preset target equipment quantity, the total number of production lines, the environmental abnormality assessment value of the target equipment of the production line, the change of the equipment scheduling demand degree assessment value of the production line when the number of target equipment is the same and the number of abnormal equipment is different.

[0061] Furthermore, the step of screening out each scheduling demand production line according to the equipment scheduling demand degree evaluation value of each production line includes: obtaining the equipment scheduling demand degree evaluation threshold from the equipment scheduling database; comparing the equipment scheduling demand degree evaluation value of each production line with the equipment scheduling demand degree evaluation threshold; if the equipment scheduling demand degree evaluation value of a production line is greater than or equal to the equipment scheduling demand degree evaluation threshold, marking the production line as a scheduling demand production line; if the equipment scheduling demand degree evaluation value of a production line is less than the equipment scheduling demand degree evaluation threshold, marking the production line as a production line with no scheduling demand; and aggregating the scheduling demand production lines to obtain each scheduling demand production line.

[0062] In this embodiment, by setting the equipment scheduling demand assessment threshold, the production line that urgently needs equipment scheduling can be accurately identified, which helps to prioritize the allocation of limited resources to the most needed places, thereby optimizing the overall configuration of production resources and improving resource utilization efficiency. Timely intervention in production lines with high equipment scheduling needs can reduce production delays caused by equipment failures, downtime, etc., and ensure the continuity and stability of the production line.

[0063] Furthermore, the step of scheduling equipment for each scheduling demand production line includes: obtaining the number of schedulable spare equipment; matching the equipment scheduling demand degree evaluation value of each scheduling demand production line to obtain the number of required equipment for each scheduling demand production line, and summing up the number of required equipment for each scheduling demand production line to obtain the total number of required equipment; comparing the total number of required equipment with the number of schedulable spare equipment, if the total number of required equipment is less than or equal to the number of schedulable spare equipment, then scheduling equipment according to the number of required equipment for each scheduling demand production line, if the total number of required equipment is greater than the number of schedulable spare equipment, then scheduling and allocating equipment according to the equipment scheduling demand degree evaluation value of each scheduling demand production line.

[0064] In this embodiment, when the number of equipment required for each scheduling demand production line is obtained by matching the equipment scheduling demand degree evaluation value of each scheduling demand production line, a mapping set can be established between the equipment scheduling demand degree evaluation value of each scheduling demand production line and the number of equipment required for each scheduling demand production line. When used, the equipment scheduling demand degree evaluation value of each scheduling demand production line is input into the mapping set to obtain the number of equipment required for each scheduling demand production line corresponding to the preset equipment scheduling demand degree evaluation value of each scheduling demand production line, wherein the mapping relationship is a many-to-one or one-to-one relationship. Obtaining the number of schedulable spare equipment can clarify the total amount of resources currently available for scheduling, and matching the respective number of required equipment according to the equipment scheduling demand degree evaluation value of each scheduling demand production line, and summing up to obtain the total number of required equipment. This step realizes the accurate quantification of production demand. When the total number of required equipment is greater than the number of schedulable spare equipment, by scheduling and allocating according to the equipment scheduling demand degree evaluation value of each scheduling demand production line, the situation of resource shortage can be flexibly responded to. Through timely and effective equipment scheduling, the automated production workshop can reduce production delays and bottleneck problems caused by equipment failures, downtime, etc.

[0065] Furthermore, the step of scheduling allocation according to the equipment scheduling requirement degree evaluation value of each scheduling requirement production line includes: sorting each scheduling requirement production line in descending order according to the equipment scheduling requirement degree evaluation value of each scheduling requirement production line; giving priority to equipment scheduling of the scheduling requirement production line ranked first, and continuously calculating and updating the equipment scheduling requirement degree evaluation value of each scheduling requirement production line.

[0066] In this embodiment, the production lines with scheduling requirements are sorted from large to small according to the evaluation value of the degree of equipment scheduling requirements, and the scheduling priority is clarified. The equipment scheduling of the production lines with scheduling requirements ranked first is prioritized, which can ensure that the key production links will not be interrupted due to resource shortages. The evaluation value of the degree of equipment scheduling requirements of each production line with scheduling requirements is continuously calculated and updated during the scheduling process, which means that the system can respond to changes in the production process in real time. By giving priority to meeting the equipment scheduling requirements of high-demand production lines, production delays and bottlenecks caused by equipment failures or downtime can be reduced.

[0067] like Figure 3As shown, it is a structural schematic diagram of an equipment scheduling system for an automated production workshop provided in an embodiment of the present application. The equipment scheduling system for an automated production workshop provided in an embodiment of the present application includes: a data acquisition module, a data analysis module, an equipment scheduling module and an equipment scheduling database; wherein the data acquisition module is used to acquire equipment that produces the same device on each production line, mark it as each target device of each production line, and monitor the working environment data and equipment status data of each target device of each production line; the data analysis module is used to obtain the environmental anomaly assessment value of each target device of each production line according to the working environment data of each target device of each production line, obtain the equipment anomaly assessment value of each target device of each production line according to the equipment status data of each target device of each production line, acquire the number of target devices of each production line, and obtain the equipment scheduling demand degree assessment value of each production line through comprehensive analysis; the equipment scheduling module is used to screen each scheduling demand production line according to the equipment scheduling demand degree assessment value of each production line, and perform equipment scheduling on each scheduling demand production line.

[0068] In summary, the embodiment of the present application identifies and marks the key equipment that produces the same devices on each production line as target equipment, and monitors the working environment data and status data of these equipment in real time, and then comprehensively considers multiple factors such as environmental abnormalities, equipment abnormalities and the number of target equipment. Through comprehensive analysis, the equipment scheduling demand level assessment value of each production line is obtained, and according to the equipment scheduling demand level assessment value, the production lines with high scheduling needs are screened out, and equipment scheduling is carried out in a targeted manner, so as to quickly respond to and solve the equipment problems that have the greatest impact on production efficiency, avoid production delays and efficiency losses caused by equipment failures or performance degradation, and thus achieve an improvement in overall production efficiency.

[0069] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0071] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0073] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0074] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for equipment scheduling in an automated production workshop, characterized in that: The following steps are involved: Obtain the equipment producing the same device on each production line, mark them as target equipment on each production line, and monitor the working environment data and equipment status data of each target equipment on each production line; According to the working environment data of each target device of each production line, the environmental anomaly assessment value of each target device of each production line is obtained; according to the device status data of each target device of each production line, the device anomaly assessment value of each target device of each production line is obtained; the number of target devices of each production line is obtained, and the device scheduling demand degree assessment value of each production line is obtained through comprehensive analysis; According to the equipment scheduling demand evaluation value of each production line, each production line with scheduling demand is screened and equipment scheduling is performed on each production line with scheduling demand; The step of obtaining the environmental anomaly assessment value of each target device of each production line according to the working environment data of each target device of each production line comprises: The working environment data of each target device of each production line, including the electromagnetic intensity, humidity and vibration frequency of each environmental monitoring point in the working area of ​​each target device; Obtain the preset critical electromagnetic intensity, reference working humidity, allowable deviation humidity and critical vibration frequency from the equipment scheduling database; Comprehensive analysis is performed to obtain the environmental anomaly assessment value of each target device in each production line; The method for obtaining the environmental anomaly assessment value of each target device of each production line is as follows: ； In the formula, represents the environmental anomaly assessment value of the jth target device in the i-th production line, Indicates the impact factor of environmental anomaly assessment corresponding to the preset electromagnetic intensity, Indicates the environmental anomaly assessment impact factor corresponding to the humidity of the preset target device. Indicates the environmental anomaly assessment impact factor corresponding to the preset vibration frequency. represents the electromagnetic intensity of the kth environmental monitoring point of the jth target equipment on the i-th production line, represents the critical electromagnetic intensity, represents the humidity of the kth environmental monitoring point of the jth target equipment on the i-th production line, Indicates reference working humidity, Indicates the allowable deviation humidity, represents the vibration frequency of the kth environmental monitoring point of the jth target equipment on the i-th production line, represents the critical vibration frequency, k is the number of the environmental monitoring point, k=1,2,3,...,o, o is the number of environmental monitoring points; The step of obtaining the device abnormality evaluation value of each target device of each production line according to the device status data of each target device of each production line comprises: The equipment status data of each target equipment of each production line, including equipment surface temperature and equipment operation sound intensity; Obtaining preset reference equipment surface temperature, allowable deviation equipment surface temperature, reference equipment operation sound intensity, and allowable deviation equipment operation sound intensity from an equipment scheduling database; Comprehensive analysis is performed to obtain the equipment abnormality assessment value of each target equipment in each production line; The method for obtaining the device abnormality evaluation value of each target device of each production line is as follows: ； In the formula, represents the equipment abnormality evaluation value of the jth target equipment on the i-th production line, Indicates the equipment abnormality assessment impact factor corresponding to the preset equipment surface temperature. Indicates the equipment abnormality assessment impact factor corresponding to the preset equipment operation sound intensity, represents the equipment surface temperature of the jth target equipment in the i-th production line, Indicates the reference equipment surface temperature, Indicates the allowable deviation of the equipment surface temperature, represents the equipment operation sound intensity of the jth target equipment on the i-th production line, Indicates the sound intensity of the reference equipment. Indicates the allowable deviation equipment operation sound intensity; The step of comprehensively analyzing and obtaining the equipment scheduling demand evaluation value of each production line includes: Comprehensively analyze the environmental anomaly evaluation value of each target device of each production line and the device anomaly evaluation value of each target device of each production line to obtain the device performance evaluation value of each target device of each production line, select each abnormal device according to the device performance evaluation value of each target device, and count the number of abnormal devices of each production line; The equipment scheduling demand evaluation value of each production line is obtained by comprehensive analysis based on the environmental anomaly evaluation value of each target equipment of each production line, the number of target equipment of each production line and the number of abnormal equipment of each production line; The method for obtaining the equipment performance evaluation value of each target equipment of each production line is as follows: ； In the formula, represents the equipment performance evaluation value of the jth target equipment in the i-th production line, Indicates the equipment performance evaluation impact factor corresponding to the preset environmental abnormality evaluation value, Indicates the equipment performance evaluation impact factor corresponding to the preset equipment abnormality evaluation value, represents the environmental anomaly assessment value of the jth target device in the i-th production line, represents the equipment abnormality evaluation value of the jth target equipment in the i-th production line; The method for obtaining the equipment scheduling demand evaluation value of each production line is as follows: ； In the formula, represents the evaluation value of the equipment scheduling demand degree of the i-th production line, Indicates the equipment scheduling demand assessment impact factor corresponding to the preset environmental anomaly assessment value, Indicates the impact factor of the equipment scheduling demand evaluation corresponding to the preset target number of equipment, represents the environmental anomaly assessment value of the jth target device in the i-th production line, represents the target number of equipment for the i-th production line, represents the number of abnormal devices in the i-th production line, where i is the production line number, i=1,2,3,...,m, m is the total number of production lines, j is the target device number, j=1,2,3,..., , e is a natural constant.

2. The equipment scheduling method for an automated production workshop as claimed in claim 1, characterized in that: The step of screening each abnormal device according to the device performance evaluation value of each target device and counting the number of abnormal devices on each production line includes: Obtaining a device performance evaluation threshold from a device scheduling database; Compare the equipment performance evaluation value of each target device of each production line with the equipment performance evaluation threshold. If the equipment performance evaluation value of a target device of each production line is greater than or equal to the equipment performance evaluation threshold, mark the target device as an abnormal device. If the equipment performance evaluation value of a target device of each production line is less than the equipment performance evaluation threshold, mark the target device as a normal device. Collect statistics on abnormal devices.

3. The equipment scheduling method for an automated production workshop as claimed in claim 1, characterized in that: The step of selecting and obtaining each production line with scheduling requirements according to the equipment scheduling requirement evaluation value of each production line comprises: Obtaining an equipment scheduling demand level assessment threshold from an equipment scheduling database; The equipment scheduling demand evaluation value of each production line is compared with the equipment scheduling demand evaluation threshold. If the equipment scheduling demand evaluation value of a production line is greater than or equal to the equipment scheduling demand evaluation threshold, the production line is marked as a production line with scheduling demand. If the equipment scheduling demand evaluation value of a production line is less than the equipment scheduling demand evaluation threshold, the production line is marked as a production line with no scheduling demand. The scheduling demand production lines are aggregated to obtain each scheduling demand production line.

4. The equipment scheduling method for an automated production workshop as claimed in claim 1, characterized in that: The step of performing equipment scheduling on each scheduling demand production line comprises: Get the number of dispatchable standby devices; According to the equipment scheduling demand evaluation value of each scheduling demand production line, the number of equipment required for each scheduling demand production line is obtained, and the number of equipment required for each scheduling demand production line is summed up to obtain the total number of equipment required; Compare the total number of equipment in demand with the number of dispatchable spare equipment. If the total number of equipment in demand is less than or equal to the number of dispatchable spare equipment, equipment scheduling is performed based on the number of equipment required for each scheduling demand production line. If the total number of equipment in demand is greater than the number of dispatchable spare equipment, scheduling allocation is performed based on the equipment scheduling demand level assessment value of each scheduling demand production line.

5. The equipment scheduling method for an automated production workshop as claimed in claim 4, characterized in that: The step of performing scheduling allocation according to the equipment scheduling demand evaluation value of each scheduling demand production line includes: Sort each production line with scheduling requirements in descending order according to the evaluation value of the equipment scheduling requirements of each production line with scheduling requirements; Prioritize equipment scheduling for the production lines with the highest scheduling needs, and continuously calculate and update the equipment scheduling demand evaluation value of each scheduling demand production line.

6. An equipment scheduling system for an automated production workshop, using an equipment scheduling method for an automated production workshop as claimed in any one of claims 1 to 5, characterized in that: It includes a data acquisition module, a data analysis module, an equipment scheduling module and an equipment scheduling database; The data acquisition module is used to acquire the equipment producing the same device on each production line, mark them as target equipment on each production line, and monitor the working environment data and equipment status data of each target equipment on each production line; The data analysis module is used to obtain the environmental anomaly assessment value of each target device of each production line according to the working environment data of each target device of each production line, obtain the equipment anomaly assessment value of each target device of each production line according to the equipment status data of each target device of each production line, obtain the number of target devices of each production line, and obtain the equipment scheduling demand degree assessment value of each production line through comprehensive analysis; The equipment scheduling module is used to screen out each production line with scheduling requirements according to the equipment scheduling requirement evaluation value of each production line, and perform equipment scheduling on each production line with scheduling requirements.

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