A modular data-driven automatic control system and method

Abstract

The present invention relates to the field of data-driven control technology, and specifically discloses a modular data-driven automatic control system and method. The system obtains the operating parameters of each production equipment required for pre-production, quantitatively evaluates the operating efficiency factor of each production equipment based on historical data, and accurately controls and adjusts the production equipment. At the same time, it monitors and obtains the production process driving data of actual production and the environmental data of actual production, and comprehensively analyzes the process compliance index of actual production, thereby automatically controlling the production process driving data of actual production and the environmental data of actual production, so as to realize real-time monitoring and dynamic adjustment of production equipment and production environment, ensure that the production process can be personalized and targeted according to production requirements, so as to ensure that the production process is always in the best state.

Description

Technical Field

[0001] The present invention relates to the technical field of data-driven control, and in particular to a modular data-driven automatic control system and method. Background Art

[0002] With the rapid development of science and technology, automation and intelligent technologies have become key means to improve production line control and production efficiency. These technologies have achieved automation, efficiency and intelligence in the production process by integrating advanced machinery, drive, sensing, control, robotics and network technologies.

[0003] For example, the invention patent with announcement number CN114253233B announces a data-driven production control method and system, which includes: obtaining the original bit image of the layout to be processed, analyzing and processing the original bit image to obtain a first processing data set, the first processing data set includes but is not limited to target area information; based on the first processing data set, combined with the process performance parameters of the production equipment, a production task data packet is established, wherein the process performance parameters include but are not limited to the operating speed, heating temperature, working power and focus of the production equipment, and the production task data packet includes but is not limited to the motion execution instructions and production factor control instructions of the production equipment; controlling the production equipment to process the layout to be processed and die-cutting out a number of target areas.

[0004] For example, the invention patent with announcement number CN110262410B relates to a data-driven production line equipment deployment control method, including the following steps: (1) using discrete event simulation software to establish a simulation model of the production line, and using the model to obtain a data set; (2) selecting the optimal samples under the same production line state according to short-term performance indicators; (3) using a softmax classification algorithm to perform offline training on the optimal samples to obtain a production line equipment power on / off and processing menu adjustment model; (4) using the model obtained in step (3) to perform online adjustment on the production line equipment power on / off and processing menu.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: the current technology mainly focuses on improving the production efficiency of production equipment under ideal conditions, resulting in the production line showing obvious lack of flexibility and adaptability when dealing with external challenges such as natural aging of production equipment. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a modular data-driven automatic control system and method, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect, the present invention provides a modular data-driven automatic control system, including: a production equipment evaluation module, which is used to obtain the operating parameters of each production equipment required for pre-production based on the modular production requirements of pre-production, evaluate the operating efficiency factor of each production equipment, and compare it with the operating efficiency threshold; a production equipment control module, which is used to mark several production equipment whose operating efficiency factor is less than the operating efficiency threshold as production equipment that needs to be adjusted, and control and adjust each production equipment that needs to be adjusted, thereby entering the actual production stage from the pre-production stage; a production process analysis module, which is used to monitor and obtain the production process driving data of actual production and the environmental data of actual production, comprehensively analyze the process compliance index of actual production, and compare it with the process compliance threshold. If the process compliance index of actual production is less than the process compliance threshold, the production process driving data of actual production and the environmental data of actual production are automatically controlled; otherwise, the production process driving data of actual production and the environmental data of actual production are continuously monitored.

[0008] As a further solution, the obtaining of the operating parameters of each production equipment required for pre-production and evaluating the operating efficiency factor of each production equipment specifically refers to obtaining the operating parameters of each production equipment required for pre-production within a historical operation detection cycle, and evaluating the operating efficiency factor of each production equipment through the operating parameters of each production equipment required for pre-production within a historical operation detection cycle.

[0009] As a further solution, the control adjustment of each production equipment that needs to be adjusted is carried out, and the specific control adjustment process is: the operating efficiency threshold is processed with the operating efficiency factor of each production equipment that needs to be adjusted to obtain the operating efficiency difference of each production equipment that needs to be adjusted, and the adjustment set corresponding to each operating efficiency difference interval stored in the production database is matched to obtain and execute the adjustment set of each production equipment that needs to be adjusted, thereby updating the operating efficiency factor of each production equipment that needs to be adjusted, and readjusting each production equipment that needs to be adjusted to each production equipment.

[0010] As a further solution, the comprehensive analysis of the process compliance index of actual production includes the following specific analysis process: based on the production process driving data of actual production, combined with the determination method of the production operation compliance index of actual production, the production operation compliance index of actual production is obtained; based on the environmental data of actual production, combined with the determination method of the production environment compliance index of actual production, the production environment compliance index of actual production is obtained; thereby, the production operation compliance index of actual production and the production environment compliance index of actual production are comprehensively analyzed to obtain the process compliance index of actual production.

[0011] As a further solution, the production process driving data of actual production and the environmental data of actual production are automatically controlled. The specific control process is: comparing the production operation compliance index of actual production with the production operation compliance threshold. If the production operation compliance index of actual production is less than the production operation compliance threshold, the production operation compliance index of actual production is compared with the production operation compliance threshold to obtain the production operation compliance proportional coefficient of actual production, and match it with the production operation adjustment set corresponding to each production operation compliance proportional coefficient interval stored in the production database, thereby obtaining and executing the production operation adjustment set of actual production; comparing the production environment compliance index of actual production with the production environment compliance threshold. If the production environment compliance index of actual production is less than the production environment compliance threshold, the production environment compliance index of actual production is compared with the production environment compliance threshold to obtain the production environment compliance proportional coefficient of actual production, and match it with the production environment adjustment set corresponding to each production environment compliance proportional coefficient interval stored in the production database, thereby obtaining and executing the production environment adjustment set of actual production, thereby completing the automatic control of the production process driving data of actual production and the environmental data of actual production.

[0012] The second aspect of the present invention provides a method for applying the modular data-driven automatic control system, including: S1. Based on the modular production requirements of pre-production, obtain the operating parameters of each production equipment required for pre-production, evaluate the operating efficiency factor of each production equipment, and compare it with the operating efficiency threshold; S2. Mark several production equipment whose operating efficiency factor is less than the operating efficiency threshold as production equipment that needs to be adjusted, control and adjust each production equipment that needs to be adjusted, thereby entering the actual production stage from the pre-production stage; S3. Monitor and obtain the production process driving data of actual production and the environmental data of actual production, comprehensively analyze the process compliance index of actual production, and compare it with the process compliance threshold. If the process compliance index of actual production is less than the process compliance threshold, the production process driving data of actual production and the environmental data of actual production are automatically controlled. Otherwise, the production process driving data of actual production and the environmental data of actual production are continuously monitored.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0014] (1) The present invention provides a modular data-driven automatic control system and method, which obtains the operating parameters of each production equipment required for pre-production, quantitatively evaluates the operating efficiency factor of each production equipment based on historical data, and accurately controls and adjusts the production equipment. At the same time, it monitors and obtains the production process driving data of actual production and the environmental data of actual production, and comprehensively analyzes the process compliance index of actual production, thereby automatically controlling the production process driving data of actual production and the environmental data of actual production, so as to realize real-time monitoring and dynamic adjustment of production equipment and production environment, ensure that the production process can be personalized and targeted according to production requirements, so as to ensure that the production process is always in the best state.

[0015] (2) The present invention obtains the process compliance index of actual production by combining the production operation compliance index of actual production and the production environment compliance index of actual production, and conducts a comprehensive analysis of actual production, so as to more reasonably allocate production resources, give priority to solving the links with poor compliance, and improve overall production efficiency and quality.

[0016] (3) The security and stability of the network environment are crucial to the compliance of the production environment. By monitoring network environment parameters, the present invention can promptly discover and resolve potential security risks and ensure the stable and efficient transmission and driving of production data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0018] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0019] Figure 2 The figure is a schematic flow chart of the method steps of the present invention.

[0020] Figure 3 The temperature variation curve of a certain production equipment involved in the present invention during the historical operation detection cycle.

[0021] Figure numerals: 1. Initial temperature point; 2. Final temperature point; 3. Interval running detection duration. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1 As shown, the first aspect of the present invention provides a modular data-driven automatic control system, including: a production equipment evaluation module, a production equipment control module and a production process analysis module.

[0024] The first aspect of the present invention provides a modular data-driven automatic control system, which also includes a production database, which is used to store the reference power consumption of the zth production equipment in the historical operation detection cycle, the reference temperature growth rate of the zth production equipment in the historical operation detection cycle, the adjustment set corresponding to each operation efficiency difference interval, the weight factor corresponding to the production operation compliance index, the weight factor corresponding to the production environment compliance index, the reference production rate of the zth production equipment in the operation monitoring cycle, the reference energy consumption of a single product of the zth production equipment in the operation monitoring cycle, the weight factor corresponding to the operation efficiency factor, the impact factor corresponding to the unit value of the average strength of the network signal, the impact factor corresponding to the unit value of the average network transmission rate, the impact factor corresponding to the unit value of the total duration of the network signal interruption, the production operation adjustment set corresponding to each production operation compliance ratio coefficient interval, the production environment adjustment set corresponding to each production environment compliance ratio coefficient interval, the operation efficiency threshold, the production operation compliance threshold and the production environment compliance threshold.

[0025] The production equipment evaluation module is connected to the production equipment control module, the production equipment control module is connected to the production process analysis module, and the production equipment evaluation module, the production equipment control module and the production process analysis module are all connected to the production database.

[0026] The production equipment evaluation module is used to obtain the operating parameters of each production equipment required for pre-production based on the modular production requirements of pre-production, evaluate the operating efficiency factor of each production equipment, and compare it with the operating efficiency threshold.

[0027] Specifically, the obtaining of the operating parameters of each production equipment required for pre-production and the evaluation of the operating efficiency factor of each production equipment specifically refers to obtaining the operating parameters of each production equipment required for pre-production within a historical operation detection cycle, and evaluating the operating efficiency factor of each production equipment through the operating parameters of each production equipment required for pre-production within the historical operation detection cycle; the above-mentioned historical operation detection cycle refers to the time period for detecting the historical operation of each production equipment, which is comprehensively formulated by equipment management technicians based on factors such as the type, purpose, operating environment and past fault records of each production equipment. It should be explained that the duration of the historical operation detection cycle of each production equipment is pre-set and relatively fixed, but the historical operation detection cycles of different production equipment are not synchronized, that is, their detection time points or cycle start and end are not completely consistent. The reason is that there are differences in the demand for production equipment in each production process, and different production processes involve different production equipment, so different historical operation detection cycle start and end time points are required; wherein the operating parameters of each production equipment required for pre-production within the historical operation detection cycle include power consumption, total harmonic voltage content and temperature change curve. In addition to the above parameters, this example can also be applied to other parameters.

[0028] Furthermore, the specific evaluation process of the operating efficiency factor of each production equipment is as follows:

[0029] The power consumption of each production equipment in the historical operation detection cycle and the total harmonic voltage content of each production equipment in the historical operation detection cycle are extracted from the operating parameters of each production equipment required for pre-production in the historical operation detection cycle; the power consumption of the above-mentioned production equipment in the historical operation detection cycle is obtained from the data recorded by the power meter on the production equipment; the total harmonic voltage content of a certain production equipment in the historical operation detection cycle is obtained by connecting the harmonic analyzer with the voltage sensor, and the equipment management technician sets the measurement parameters of the harmonic analyzer, such as the measurement time window, spectrum resolution, and sampling frequency, thereby measuring the effective value of each harmonic voltage and the effective value of the fundamental voltage of a certain production equipment in the historical operation detection cycle, and analyzing and obtaining the total harmonic voltage content by the following method: ,in is the effective value of the hth harmonic voltage, is the effective value of the fundamental voltage, h is the order number of the harmonic voltage, , H is the total number of harmonic voltages.

[0030] At the same time, the temperature change curve of each production equipment in the historical operation detection cycle is extracted from the operating parameters of each production equipment required for pre-production in the historical operation detection cycle, the initial temperature point and the final temperature point are located on the temperature change curve, the temperature value of the initial temperature point and the temperature value of the final temperature point are obtained and data processing is performed, and the processing result is marked as the temperature growth rate of each production equipment in the historical operation detection cycle; the temperature change curve of each production equipment in the historical operation detection cycle is measured by a temperature sensor. The real-time temperature value of the temperature measurement point of each production equipment planned by the equipment management technician in the historical operation detection cycle, and all the data are plotted into a continuous curve using the matrix laboratory software, such as Figure 3 The temperature change curve of a certain production equipment during the historical operation detection cycle is shown in the figure, where the horizontal axis is the operation detection time point in seconds, and the vertical axis is the temperature value in degrees Celsius. It clearly shows the temperature change of the temperature measurement point of each production equipment and the temperature growth rate of the production equipment during the historical operation detection cycle. The specific data processing process is: perform difference processing on the temperature value of the last temperature point 2 and the temperature value of the initial temperature point 1, and divide the difference processing result by the interval operation detection time 3 between the last temperature point 2 and the initial temperature point 1, which is the temperature growth rate of the production equipment during the historical operation detection cycle. The data processing process of the temperature growth rate of each production equipment in the historical operation detection cycle is consistent with the above data processing process.

[0031] Thus, an evaluation method for the operation efficiency factor of each production equipment is comprehensively obtained. In this embodiment, the operation efficiency factor of each production equipment is obtained by comprehensively analyzing the power consumption, total content of harmonic voltage and temperature growth rate of each production equipment in the historical operation detection cycle, and is used to evaluate the value of the operation efficiency of each production equipment. The specific evaluation method is:

[0032] ;

[0033] S is the impact factor corresponding to the unit value of the total harmonic voltage content preset in the production database, which represents the numerical value of the impact degree of the unit value of the total harmonic voltage content on the operating efficiency factor of the production equipment. When used, the impact factor corresponding to the unit value of the total harmonic voltage content can be directly obtained from the production database, and the corresponding relationship can be a preset mapping relationship. For example, the total harmonic voltage content and the impact factor corresponding to the unit value of the total harmonic voltage content preset in the production database form a mapping set, and the real-time total harmonic voltage content is input into the mapping set to obtain the impact factor corresponding to the unit value of the total harmonic voltage content. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0034] It is the electric energy consumption of the zth production equipment in the historical operation detection cycle, which refers to the total electric energy consumed by the zth production equipment in the historical operation detection cycle.

[0035] It is the total content of harmonic voltage of the zth production equipment in the historical operation detection cycle, which refers to the sum of the harmonic voltage generated by the zth production equipment in the historical operation detection cycle.

[0036] It is the temperature growth rate of the zth production equipment during the historical operation detection cycle, which refers to the speed at which the temperature of the zth production equipment rises during the historical operation detection cycle.

[0037] It is the reference power consumption of the zth production equipment in the historical operation detection cycle preset in the production database, indicating the reference value for analyzing the power consumption of the zth production equipment in the historical operation detection cycle.

[0038] It is the reference temperature growth rate of the zth production equipment in the historical operation detection cycle preset in the production database, indicating the reference value for analyzing the temperature growth rate of the zth production equipment in the historical operation detection cycle.

[0039] e is a natural constant, z is the number of each production equipment, , m is the total number of production equipment.

[0040] in, is the operating efficiency factor of the zth production equipment. The total content of harmonic voltage of the production equipment is relatively high, which leads to reduced production efficiency of the production equipment and more additional energy loss in the production equipment, thereby causing the electric energy consumption of the production equipment to deviate significantly from the reference electric energy consumption. The increase in electric energy consumption causes the abnormal increase in heat generation of the production equipment, thereby accelerating the temperature growth, causing the temperature growth rate to deviate significantly from the reference temperature growth rate. Similarly, high harmonic voltage may cause additional heat to be generated inside the production equipment, thereby accelerating the temperature rise of the production equipment. In order to maintain normal operation, the production equipment may need to consume more electric energy to overcome thermal resistance. Therefore, by quantitatively analyzing the parameters of the production equipment in the historical operating cycle, the historical operating efficiency of the production equipment can be obtained, thereby providing targeted guidance for improving the production equipment, so as to achieve reasonable configuration and efficient utilization of the production equipment, and comprehensively improve production efficiency.

[0041] The production equipment control module is used to mark several production equipment whose operating efficiency factors are less than the operating efficiency threshold as production equipment that need to be adjusted, and control and adjust each production equipment that needs to be adjusted, thereby entering the actual production stage from the pre-production stage.

[0042] It needs to be explained that several production equipment whose operating efficiency factors are greater than or equal to the operating efficiency threshold indicate that they meet the operating efficiency threshold and can directly carry out actual production without the need for control adjustments.

[0043] Specifically, the production equipment that needs to be adjusted is controlled and adjusted, and the specific control and adjustment process is:

[0044] The difference between the operating efficiency threshold and the operating efficiency factor of each production equipment that needs to be adjusted is processed to obtain the operating efficiency difference of each production equipment that needs to be adjusted, and the difference is matched with the adjustment set corresponding to each operating efficiency difference interval stored in the production database to obtain and execute the adjustment set of each production equipment that needs to be adjusted, thereby updating the operating efficiency factor of each production equipment that needs to be adjusted, and readjusting each production equipment that needs to be adjusted to each production equipment; the above-mentioned operating efficiency threshold represents the minimum value of the reasonable range of the operating efficiency factor of each production equipment analyzed, which is extracted from the production database; the adjustment set corresponding to each operating efficiency difference interval is formulated by the equipment engineer according to the design parameters, rated power and operating conditions of the production equipment. The corresponding rules and corresponding values ​​are stored in the production database. In an example embodiment, if the operating efficiency difference of a production equipment that needs to be adjusted is 31.7%, within the operating efficiency difference interval [30%, 32%], the operating efficiency difference interval [30%, 32%] The corresponding adjustment set includes: using the frequency converter to reduce the speed of the production equipment to the rated speed range, adjusting the temperature of the cooling medium to control the temperature of the equipment to the predetermined temperature range, and adjusting the pressure valve opening to change the pressure of the production equipment to the predetermined speed range; it should be explained that the formulation process of the adjustment set is based on scientific and rigorous methods and processes, aiming to propose specific and effective improvement measures for the gap between the operating efficiency factor of the production equipment and the operating efficiency threshold. Therefore, after executing the adjustment set of each production equipment that needs to be adjusted, the operating efficiency factor of each production equipment that needs to be adjusted is readjusted, so that the operating efficiency factor of each production equipment that needs to be adjusted is greater than or equal to the operating efficiency threshold, so that each production equipment that needs to be adjusted can carry out actual production; if the operating efficiency factor of each production equipment is greater than or equal to the operating efficiency threshold, it indicates that each production equipment can directly carry out actual production, and at this time, actual production is carried out for pre-production.

[0045] The production process analysis module is used to monitor and obtain the production process driving data of actual production and the environmental data of actual production, comprehensively analyze the process compliance index of actual production, and compare it with the process compliance threshold. If the process compliance index of actual production is less than the process compliance threshold, the production process driving data of actual production and the environmental data of actual production are automatically controlled; otherwise, the production process driving data of actual production and the environmental data of actual production are continuously monitored.

[0046] It should be explained that the above-mentioned actual production process driving data includes the number of products produced and the power consumption, and the above-mentioned actual production environment data includes network signal strength, network transmission rate and total duration of network signal interruption. In addition to being applied to the above-mentioned parameters, this example can also be used for other parameters.

[0047] On the contrary of the above, the actual production process driving data and the actual production environmental data are continuously monitored, which means that if the actual production process compliance index is greater than or equal to the process compliance threshold, the actual production process driving data and the actual production environmental data are monitored in the next adjacent operation monitoring cycle to meet the requirements of continuous monitoring.

[0048] In a specific embodiment, the present invention obtains the process compliance index of actual production by combining the production operation compliance index of actual production and the production environment compliance index of actual production, and conducts a comprehensive analysis of actual production, so as to more reasonably allocate production resources, give priority to solving links with poor compliance, and improve overall production efficiency and quality.

[0049] Specifically, the determination method of the actual production operation compliance index is as follows:

[0050] The number of products produced by each production equipment within the operation monitoring cycle is extracted from the actual production process driving data, and the ratio is processed with the duration corresponding to the operation monitoring cycle to obtain the production rate of each production equipment within the operation monitoring cycle; the above-mentioned operation monitoring cycle represents the time period for monitoring the actual production process, which is determined by the production quality control specialist. The number of products produced by each production equipment within the operation monitoring cycle is obtained through monitoring and recording by the automatic counter equipped by the production factory.

[0051] The electric energy consumption of each production equipment during the operation monitoring cycle is extracted from the production process driving data of actual production, and the number of products produced by each production equipment during the operation monitoring cycle is ratio-processed with the corresponding electric energy consumption to obtain the energy consumption of a single product of each production equipment during the operation monitoring cycle; the electric energy consumption of the above-mentioned each production equipment during the operation monitoring cycle is obtained from the data recorded by the electric energy metering instrument on the production equipment.

[0052] A method for determining the production operation compliance index of actual production is obtained by comprehensively analyzing the operation efficiency factors of each production equipment, the production rate of each production equipment during the operation monitoring cycle, and the energy consumption of a single product. The actual production operation compliance index is obtained by comprehensively analyzing the operation efficiency factors of each production equipment, the production rate of each production equipment during the operation monitoring cycle, and the energy consumption of a single product. The value used to determine the degree of production operation compliance of actual production is specifically determined as follows:

[0053] ;

[0054] is the operating efficiency factor of the zth production equipment, which is obtained by comprehensive analysis of the power consumption, total harmonic voltage content and temperature growth rate of the zth production equipment during the historical operation detection cycle, and is a numerical value used to evaluate the operating efficiency of the zth production equipment.

[0055] It is the production rate of the zth production equipment during the operation monitoring cycle, which refers to the number of products produced by the production equipment per unit time during the operation monitoring cycle.

[0056] It is the energy consumption of a single product of the zth production equipment during the operation monitoring cycle, which refers to the electric energy consumed by the production equipment when producing a single product during the operation monitoring cycle.

[0057] It is the reference production rate of the zth production equipment in the operation monitoring cycle preset in the production database, indicating the reference value for analyzing the production rate of the zth production equipment in the operation monitoring cycle.

[0058] It is the reference energy consumption of a single product of the z-th production equipment preset in the production database during the operation monitoring cycle, and represents the reference value for analyzing the energy consumption of a single product of the z-th production equipment during the operation monitoring cycle.

[0059] It is the weight factor corresponding to the operation efficiency factor preset in the production database, which indicates the proportion of the operation efficiency factor in the production operation compliance index of the actual production. When in use, the weight factor corresponding to the operation efficiency factor can be directly obtained from the production database, and the corresponding relationship can be a preset mapping relationship. For example, the power consumption, the total content of harmonic voltage and the temperature growth rate form a mapping set with the weight factor corresponding to the operation efficiency factor preset in the production database. The real-time power consumption, the total content of harmonic voltage and the temperature growth rate are input into the mapping set to obtain the weight factor corresponding to the operation efficiency factor. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0060] e is a natural constant, z is the number of each production equipment, , m is the total number of production equipment.

[0061] in, It is the production operation compliance index of actual production. If the production rate deviates greatly from the reference production rate, it means that the actual production operation exceeds the expected reference standard driven by data, that is, it deviates greatly from the reference production rate. When the production rate is too fast, the production equipment may increase energy consumption due to overload operation, resulting in an increase in the energy consumption of a single product. On the contrary, if the production rate is too slow, energy may be wasted due to inefficient operation of the production equipment, which will also cause a relative increase in the energy consumption of a single product (relative to the efficient production state). At the same time, combined with the operating efficiency factor of the production equipment, the actual production operation compliance can be fully reflected from the efficiency reflected by the historical operating parameters of the production equipment and the real-time monitoring data, so as to make targeted adjustments and improvements to the actual production of the production equipment, improve the production efficiency of the production equipment, reduce the energy consumption level of the production equipment, and optimize the status of the production equipment, so as to achieve sustainable development.

[0062] Specifically, the determination method of the actual production environment compliance index is as follows:

[0063] The network signal strength of the network environment to which the actual production belongs at each operation monitoring time point is extracted from the actual production environmental data, and the average strength of the network signal of the network environment to which the actual production belongs within the operation monitoring period is obtained by mean processing; the above-mentioned operation monitoring time points refer to the time points randomly arranged within the operation monitoring period; the network signal strength of the network environment to which the actual production belongs at each operation monitoring time point is measured by a signal tester.

[0064] The network transmission rate of the actual production network environment at each operation monitoring time point is extracted from the actual production environment data, and the average network transmission rate of the actual production network environment during the operation monitoring period is obtained by averaging. The network transmission rate of the actual production network environment at each operation monitoring time point can be monitored by online speed test tools (such as network speed test tools).

[0065] At the same time, the total duration of network signal interruption in the actual production network environment during the operation monitoring cycle is extracted from the actual production environment data. The total duration of network signal interruption in the actual production network environment during the operation monitoring cycle is monitored by network monitoring tools (such as network operation and maintenance butler).

[0066] Thus, a method for determining the compliance index of the production environment of actual production is obtained. In this embodiment, the compliance index of the production environment of actual production is obtained by comprehensive analysis of the average network signal strength, average network transmission rate and total network signal interruption duration of the network environment to which the actual production belongs during the operation monitoring cycle. It is used to determine the value of the compliance degree of the production environment of actual production. The specific determination method is:

[0067] ;

[0068] It is the average network signal strength of the network environment to which actual production belongs during the operation monitoring period. It refers to the average value of the network signal strength in the network environment to which actual production belongs during the operation monitoring period.

[0069] It is the average network transmission rate of the actual production network environment during the operation monitoring cycle, which refers to the average speed of data transmission in the actual production network environment during the operation monitoring cycle.

[0070] It refers to the total duration of network signal interruption in the network environment to which actual production belongs during the operation monitoring cycle. It refers to the total duration of network signal interruption in the network environment to which actual production belongs during the operation monitoring cycle.

[0071] e is a natural constant, It is the impact factor corresponding to the unit value of the average network signal strength preset in the production database, which represents the degree of influence of the unit value of the average network signal strength on the actual production environment compliance index. When used, the impact factor corresponding to the unit value of the average network signal strength can be directly obtained from the production database, and the corresponding relationship can be a preset mapping relationship. For example, the average network signal strength and the impact factor corresponding to the unit value of the average network signal strength preset in the production database form a mapping set, and the real-time average network signal strength is input into the mapping set to obtain the impact factor corresponding to the unit value of the average network signal strength. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0072] It is the impact factor corresponding to the unit value of the network transmission average rate preset in the production database, which represents the numerical value of the impact of the unit value of the network transmission average rate on the actual production environment compliance index. When used, the impact factor corresponding to the unit value of the network transmission average rate can be directly obtained from the production database, and the corresponding relationship can be a preset mapping relationship. For example, the network transmission average rate and the impact factor corresponding to the unit value of the network transmission average rate preset in the production database form a mapping set, and the real-time network transmission average rate is input into the mapping set to obtain the impact factor corresponding to the unit value of the network transmission average rate. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0073] It is the impact factor corresponding to the unit value of the total network signal interruption duration preset in the production database, which represents the degree of influence of the unit value of the total network signal interruption duration on the actual production environment compliance index. When used, the impact factor corresponding to the unit value of the total network signal interruption duration can be directly obtained from the production database, and the corresponding relationship can be a preset mapping relationship. For example, the total network signal interruption duration and the impact factor corresponding to the unit value of the total network signal interruption duration preset in the production database form a mapping set, and the real-time total network signal interruption duration is input into the mapping set to obtain the impact factor corresponding to the unit value of the total network signal interruption duration. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0074] in, The average strength of the network signal is the compliance index of the actual production environment. As a key indicator for measuring the network status of the production environment, its level is directly related to the quality of the actual production network environment. When the average strength of the network signal is small, it indicates that the network environment signal at the production site is relatively weak, which significantly increases the risk of network signal interruption, which may lead to a longer total network signal interruption time, interfere with the real-time transmission and sharing of production data, and cause delays and losses of production equipment drive data instructions, thereby seriously affecting the normal operation of production equipment and the continuity of production processes. Secondly, the weakening of the average strength of the network signal also directly leads to a decrease in the average network transmission rate. In a high-speed and efficient production environment, the collaborative cooperation of production equipment is highly dependent on stable and fast data transmission. The reduction in network transmission rate makes information sharing and instruction transmission between production equipment slow, affecting the coordination and synchronization between production equipment. Therefore, the above parameters jointly reveal the deficiencies in the compliance of the actual production environment, provide an objective and quantitative data basis for evaluating the compliance level of the actual production environment, help to timely discover and solve problems in the network environment, and provide strong support for optimizing production processes and improving production efficiency and compliance.

[0075] In a specific embodiment, the security and stability of the network environment are crucial to the compliance of the production environment. By monitoring network environment parameters, the present invention can promptly discover and resolve potential security risks and ensure stable and efficient transmission and driving of production data.

[0076] Specifically, the comprehensive analysis of the process compliance index of actual production is as follows:

[0077] According to the production process driving data of actual production, combined with the determination method of the production operation compliance index of actual production, the production operation compliance index of actual production is obtained. According to the environmental data of actual production, combined with the determination method of the production environment compliance index of actual production, the production environment compliance index of actual production is obtained. Thus, the production operation compliance index of actual production and the production environment compliance index of actual production are comprehensively analyzed to obtain the process compliance index of actual production. Specifically, the process compliance index of actual production, in this embodiment, is obtained by comprehensive analysis of the production operation compliance index of actual production and the production environment compliance index of actual production, and is used to analyze the numerical value of the degree of process compliance of actual production. The specific analysis method is:

[0078] ;

[0079] It is the production operation compliance index of actual production, which is obtained through comprehensive analysis of the operation efficiency factor of each production equipment, the production rate of each production equipment during the operation monitoring cycle and the energy consumption of a single product. It is a numerical value used to determine the degree of production operation compliance of actual production.

[0080] The production environment compliance index for actual production is obtained through comprehensive analysis of the average network signal strength, average network transmission rate and total duration of network signal interruption in the network environment to which actual production belongs during the operation monitoring period. It is a numerical value used to determine the degree of compliance of the production environment for actual production.

[0081] is a natural constant, It is the weight factor corresponding to the production operation compliance index preset in the production database, which indicates the proportion of the production operation compliance index to the process compliance index of the actual production. When in use, the weight factor corresponding to the production operation compliance index can be directly obtained from the production database, and the corresponding relationship can be a preset mapping relationship. For example, the operation efficiency factor, the production rate and the energy consumption of a single product form a mapping set with the weight factor corresponding to the production operation compliance index preset in the production database. The real-time operation efficiency factor, the production rate and the energy consumption of a single product are input into the mapping set to obtain the weight factor corresponding to the production operation compliance index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0082] It is the weight factor corresponding to the production environment compliance index preset in the production database, which indicates the proportion of the production environment compliance index to the process compliance index of actual production. When in use, the weight factor corresponding to the production environment compliance index can be directly obtained from the production database, and the corresponding relationship can be a preset mapping relationship. For example, the average strength of the network signal, the average rate of network transmission and the total duration of network signal interruption form a mapping set with the weight factor corresponding to the production environment compliance index preset in the production database. The real-time average strength of the network signal, the average rate of network transmission and the total duration of network signal interruption are input into the mapping set to obtain the weight factor corresponding to the production environment compliance index. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0083] in, It is the process compliance index of actual production. The compliance of production process is divided into two core elements: production environment compliance and production operation compliance. Production environment compliance is the basis of production operation compliance. A compliant production environment can provide a safe, stable and controllable network for the operation of production equipment, ensuring the efficiency of the production equipment layout and the strictness of logical access control. Production operation compliance depends on the compliance of the production environment. In a compliant production environment, production operations can follow established security policies and operating procedures to ensure the accuracy, completeness and consistency of data-driven. Therefore, a comprehensive analysis of the actual production operation compliance index and the actual production environment compliance index can comprehensively reflect the degree of process compliance of actual production. This evaluation system not only considers the compliance performance of production equipment at the execution level, but also deeply examines the compliance construction of the environment to which the production equipment belongs at the support and guarantee level. The two complement each other and together constitute a complete evaluation system for production process compliance, providing scientific data support for production safety, quality control and compliance management.

[0084] In this example embodiment, the above-mentioned actual production process compliance index and its corresponding parameter change table are shown in Table 1:

[0085] Table 1 Changes of process compliance index and its corresponding parameters in actual production

[0086] ;

[0087] In this example embodiment, the value of the weight factor corresponding to the production operation compliance index is set to 0.65, and the value of the weight factor corresponding to the production environment compliance index is set to 0.75. It can be seen from Table 1 that the production operation compliance index is positively correlated with the production environment compliance index. Specifically, when the production environment compliance index shows an increasing trend (from 345% to 420%), the production operation compliance index also shows an increasing trend (from 290% to 380%). It can also be seen from Table 1 that the production operation compliance index and the production environment compliance index are positively correlated with the process compliance index, that is, when the production operation compliance index and the production environment compliance index show an increasing trend, the process compliance index also shows an increasing trend (from 173% to 178%).

[0088] Furthermore, the actual production process driving data and the actual production environment data are automatically controlled, and the specific control process is:

[0089] The production operation compliance index of actual production is compared with the production operation compliance threshold. If the production operation compliance index of actual production is less than the production operation compliance threshold, the production operation compliance index of actual production is compared with the production operation compliance threshold to obtain the production operation compliance ratio coefficient of actual production, and match it with the production operation adjustment set corresponding to each production operation compliance ratio coefficient interval stored in the production database, thereby obtaining and executing the production operation adjustment set of actual production; the above-mentioned production operation compliance threshold represents the minimum value of the reasonable range of the production operation compliance index of actual production, which is extracted from the production database; if the above-mentioned production operation compliance index of actual production is less than the production operation compliance threshold, it indicates that the production operation compliance degree of actual production is lower than the production operation compliance threshold requirement, so This requires adjustments to the production operation process of actual production. If the production operation compliance index of actual production is greater than or equal to the production operation compliance threshold, it indicates that the production operation compliance level of actual production meets the production operation compliance threshold requirements, and there is no need to adjust the production operation process of actual production. In an example embodiment, assuming that the production operation compliance ratio coefficient of actual production is 60%, in the production operation compliance ratio coefficient interval [50%, 65%] stored in the production database, the production operation adjustment set corresponding to the production operation compliance ratio coefficient interval [50%, 65%] includes: maintaining the production speed of each production equipment within the corresponding rated speed, and maintaining the production power of each production equipment within the corresponding rated production power, so that the production operation adjustment set of actual production includes the above-mentioned adjustment situations.

[0090] The actual production environment compliance index is compared with the production environment compliance threshold. If the actual production environment compliance index is less than the production environment compliance threshold, the actual production environment compliance index is compared with the production environment compliance threshold to obtain the actual production environment compliance ratio coefficient, and the ratio is matched with the production environment adjustment set corresponding to each production environment compliance ratio coefficient interval stored in the production database to obtain and execute the actual production environment adjustment set, thereby completing the automatic control of the actual production process driving data and the actual production environment data. The above-mentioned production environment compliance threshold represents the minimum value of the reasonable range of the actual production production environment compliance index, which is extracted from the production database. If the actual production environment compliance index is less than the production environment compliance threshold, it indicates that the actual production environment compliance level is low. In accordance with the requirements of the production environment compliance threshold, the actual production environment needs to be adjusted. If the actual production environment compliance index is greater than or equal to the production environment compliance threshold, it indicates that the actual production environment compliance level meets the requirements of the production environment compliance threshold. Therefore, there is no need to adjust the actual production environment. In an example embodiment, assuming that the actual production environment compliance ratio coefficient is 76%, in the production environment compliance ratio coefficient interval [70%, 80%] stored in the production database, the production environment adjustment set corresponding to the production environment compliance ratio coefficient interval [70%, 80%] includes: upgrading the network bandwidth to 200 megabits per second, deploying an intrusion detection system (IDS), monitoring network traffic in real time, and upgrading router logs to the latest version. Therefore, the actual production environment adjustment set includes the above adjustments.

[0091] It needs to be explained that when the process compliance index of actual production is less than the process compliance threshold, there is a situation where the actual production operation compliance index is less than the production operation compliance threshold or the actual production environment compliance index, or both exist. Therefore, it is necessary to make judgments and adjustments separately. It also needs to be explained that the adjustment effects of the production operation adjustment set and the production environment adjustment set are consistent with the adjustment effects of the adjustment sets of each production equipment that needs to be adjusted. After executing the production operation adjustment set and the production environment adjustment set, the actual production operation compliance index and the actual production environment compliance index can meet the corresponding threshold requirements.

[0092] In a specific embodiment, the present invention provides a modular data-driven automatic control system and method, which obtains the operating parameters of each production equipment required for pre-production, quantitatively evaluates the operating efficiency factor of each production equipment based on historical data, and accurately controls and adjusts the production equipment. At the same time, it monitors and obtains the actual production process driving data and the actual production environmental data, and comprehensively analyzes the actual production process compliance index, thereby automatically controlling the actual production process driving data and the actual production environmental data, so as to realize real-time monitoring and dynamic adjustment of production equipment and production environment, and ensure that the production process can be personalized and targeted according to production requirements, so as to ensure that the production process is always in the best state.

[0093] Reference Figure 2 As shown, the second aspect of the present invention provides a method, including: S1. Based on the modular production requirements of pre-production, the operating parameters of each production equipment required for pre-production are obtained, the operating efficiency factor of each production equipment is evaluated, and the operation efficiency threshold is compared; S2. Several production equipment whose operating efficiency factor is less than the operating efficiency threshold are marked as production equipment that need to be adjusted, and each production equipment that needs to be adjusted is controlled and adjusted, thereby entering the actual production stage from the pre-production stage; S3. The production process driving data of the actual production and the environmental data of the actual production are monitored and obtained, the process compliance index of the actual production is comprehensively analyzed, and the process compliance threshold is compared; if the process compliance index of the actual production is less than the process compliance threshold, the production process driving data of the actual production and the environmental data of the actual production are automatically controlled; otherwise, the production process driving data of the actual production and the environmental data of the actual production are continuously monitored.

[0094] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A modular data-driven automatic control system, characterized in that: include: The production equipment evaluation module is used to obtain the operating parameters of each production equipment required for pre-production based on the modular production requirements of pre-production, evaluate the operating efficiency factor of each production equipment, and compare it with the operating efficiency threshold; The production equipment control module is used to mark a number of production equipment whose operation efficiency factor is less than the operation efficiency threshold as production equipment that needs to be adjusted, and control and adjust each production equipment that needs to be adjusted, thereby entering the actual production stage from the pre-production stage; The production process analysis module is used to monitor and obtain the actual production process driving data and the actual production environment data, comprehensively analyze the actual production process compliance index, and compare it with the process compliance threshold. If the actual production process compliance index is less than the process compliance threshold, the actual production process driving data and the actual production environment data are automatically controlled. Otherwise, the actual production process driving data and the actual production environment data are continuously monitored. The specific analysis method of the actual production process compliance index is as follows: ； in, It is the process compliance index of actual production. It is the production operation compliance index of actual production. It is the production environment compliance index of actual production. is a natural constant, is the weight factor corresponding to the production operation compliance index preset in the production database, is a weight factor corresponding to the production environment compliance index preset in the production database, wherein the actual production process compliance index is obtained by comprehensive analysis of the actual production operation compliance index and the actual production environment compliance index, and is used to analyze the numerical value of the actual production process compliance degree; The actual production environment compliance index is obtained by comprehensive analysis of the average network signal strength, average network transmission rate and total network signal interruption duration of the network environment to which the actual production belongs during the operation monitoring cycle. It is used to determine the degree of compliance of the actual production environment. The specific determination method is as follows: ； It is the production environment compliance index of actual production. It is the average network signal strength of the actual production network environment during the operation monitoring cycle. It is the average network transmission rate of the actual production network environment during the operation monitoring cycle. is the total duration of network signal interruption in the actual production network environment during the operation monitoring cycle, e is a natural constant, It is the impact factor corresponding to the unit value of the average network signal strength preset in the production database. The impact factor corresponding to the unit value of the average network transmission rate preset in the production database. The impact factor corresponding to the unit value of the total network signal interruption duration preset in the production database; The actual production operation compliance index is obtained by comprehensive analysis of the operation efficiency factor of each production equipment, the production rate of each production equipment during the operation monitoring cycle, and the energy consumption of a single product. It is used to determine the degree of compliance of the actual production operation. The specific determination method is: ； It is the production operation compliance index of actual production. is the operating efficiency factor of the z-th production equipment, is the production rate of the zth production equipment during the operation monitoring cycle, is the energy consumption of a single product of the z-th production equipment during the operation monitoring cycle, is the reference production rate of the zth production equipment preset in the production database during the operation monitoring cycle, The reference energy consumption of a single product of the zth production equipment preset in the production database during the operation monitoring cycle, is the weight factor corresponding to the operation efficiency factor preset in the production database, e is a natural constant, z is the number of each production equipment, , m is the total number of production equipment.

2. A modular data-driven automatic control system according to claim 1, characterized in that: The obtaining of the operating parameters of each production equipment required for pre-production and evaluating the operating efficiency factor of each production equipment specifically refers to obtaining the operating parameters of each production equipment required for pre-production within a historical operation detection cycle, and evaluating the operating efficiency factor of each production equipment through the operating parameters of each production equipment required for pre-production within a historical operation detection cycle.

3. A modular data-driven automatic control system according to claim 2, characterized in that: The specific evaluation process of the operating efficiency factor of each production equipment is as follows: Extract the power consumption of each production equipment in the historical operation detection cycle and the total harmonic voltage content of each production equipment in the historical operation detection cycle from the operation parameters of each production equipment in the historical operation detection cycle required for pre-production; At the same time, the temperature change curve of each production equipment within the historical operation detection cycle is extracted from the operating parameters of each production equipment required for pre-production within the historical operation detection cycle, the initial temperature point and the final temperature point are located on the temperature change curve, the temperature value of the initial temperature point and the temperature value of the final temperature point are obtained and data processing is performed, and the processing result is marked as the temperature growth rate of each production equipment within the historical operation detection cycle, thereby comprehensively obtaining an evaluation method for the operation efficiency factor of each production equipment.

4. A modular data-driven automatic control system according to claim 1, characterized in that: The specific control and adjustment process of each production equipment that needs to be adjusted is as follows: The operating efficiency threshold is subjected to difference processing with the operating efficiency factor of each production equipment that needs to be adjusted to obtain the operating efficiency difference of each production equipment that needs to be adjusted, and the difference is matched with the adjustment set corresponding to each operating efficiency difference interval stored in the production database to obtain and execute the adjustment set of each production equipment that needs to be adjusted, thereby updating the operating efficiency factor of each production equipment that needs to be adjusted, and readjusting each production equipment that needs to be adjusted to each production equipment.

5. A modular data-driven automatic control system according to claim 1, characterized in that: The comprehensive analysis of the process compliance index of actual production is as follows: Based on the production process driving data of actual production and combined with the determination method of the production operation compliance index of actual production, the production operation compliance index of actual production is obtained. Based on the environmental data of actual production and combined with the determination method of the production environment compliance index of actual production, the production environment compliance index of actual production is obtained. Thus, the production operation compliance index of actual production and the production environment compliance index of actual production are comprehensively analyzed to obtain the process compliance index of actual production.

6. A modular data-driven automatic control system according to claim 5, characterized in that: The determination method of the actual production operation compliance index is as follows: The number of products produced by each production equipment in the operation monitoring cycle is extracted from the actual production process driving data, and the ratio is processed with the duration corresponding to the operation monitoring cycle to obtain the production rate of each production equipment in the operation monitoring cycle; Extract the power consumption of each production equipment in the operation monitoring cycle from the actual production process driving data, perform ratio processing on the number of products produced by each production equipment in the operation monitoring cycle and the corresponding power consumption, and obtain the energy consumption of a single product of each production equipment in the operation monitoring cycle; By integrating the operating efficiency factors of each production equipment, a method for determining the production operation compliance index of actual production is obtained.

7. A modular data-driven automatic control system according to claim 5, characterized in that: The determination method of the actual production environment compliance index is as follows: The network signal strength of the network environment to which the actual production belongs at each operation monitoring time point is extracted from the actual production environment data, and the average value is processed to obtain the average network signal strength of the network environment to which the actual production belongs during the operation monitoring cycle; The network transmission rate of the network environment to which the actual production belongs at each operation monitoring time point is extracted from the actual production environment data, and the average value is processed to obtain the average network transmission rate of the network environment to which the actual production belongs during the operation monitoring cycle; At the same time, the total duration of network signal interruption in the actual production network environment during the operation monitoring cycle is extracted from the actual production environmental data, thereby obtaining a method for determining the actual production environment compliance index.

8. A modular data-driven automatic control system according to claim 1, characterized in that: The automatic control of the actual production process driving data and the actual production environment data is as follows: The production operation compliance index of actual production is compared with the production operation compliance threshold. If the production operation compliance index of actual production is less than the production operation compliance threshold, the production operation compliance index of actual production is processed with the production operation compliance threshold to obtain the production operation compliance ratio coefficient of actual production, and the ratio is matched with the production operation adjustment set corresponding to each production operation compliance ratio coefficient interval stored in the production database, thereby obtaining and executing the production operation adjustment set of actual production; The actual production environment compliance index is compared with the production environment compliance threshold. If the actual production environment compliance index is less than the production environment compliance threshold, the actual production environment compliance index is compared with the production environment compliance threshold to obtain the actual production environment compliance ratio coefficient, and the ratio is matched with the production environment adjustment set corresponding to each production environment compliance ratio coefficient interval stored in the production database to obtain and execute the actual production environment adjustment set, thereby completing the automatic control of the actual production process driving data and the actual production environment data.

9. A method for applying the modular data-driven automatic control system according to any one of claims 1 to 8, characterized in that: include: S1. Based on the modular production requirements of pre-production, obtain the operating parameters of each production equipment required for pre-production, evaluate the operating efficiency factor of each production equipment, and compare it with the operating efficiency threshold; S2. Marking a number of production equipment whose operating efficiency factors are less than the operating efficiency threshold as production equipment that needs to be adjusted, and controlling and adjusting each production equipment that needs to be adjusted, thereby entering the actual production stage from the pre-production stage; S3. Monitor and obtain the actual production process driving data and the actual production environmental data, comprehensively analyze the process compliance index of the actual production, and compare it with the process compliance threshold. If the actual production process compliance index is less than the process compliance threshold, the actual production process driving data and the actual production environmental data are automatically controlled; otherwise, the actual production process driving data and the actual production environmental data are continuously monitored.

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