Industrial automation control systems and methods

Abstract

The present invention discloses an industrial automation control system and method, which relates to the field of automation control technology. The present invention includes a production energy consumption analysis module, an equipment identification monitoring module and an equipment load monitoring module. The production energy consumption historical data of each product is analyzed by the production energy consumption analysis module to obtain various high-energy consumption products and low-energy consumption products, and then a production plan is set to reduce production costs. The equipment identification monitoring module analyzes the production data of the equipment to obtain the accuracy index of the equipment, and adjusts the accuracy level of the identification device according to the accuracy index of the equipment. On the other hand, the equipment load monitoring module analyzes the load data of the equipment to obtain the load index of the equipment, and controls the raw material transportation rate of the equipment according to the load index of the equipment, thereby reducing the identification cost in the production process and increasing the safety of the equipment.

Description

Technical Field

[0001] The present invention relates to the field of automation control technology, and in particular to an industrial automation control system and method. Background Art

[0002] In modern industrial production, the application of automated control systems has become indispensable. In order to overcome the limitations of existing technologies and comprehensively consider production efficiency, cost, quality, safety, resource utilization, environmental impact, corporate competitiveness and other aspects, a new type of industrial automation control system is needed to adapt to the ever-changing industrial production environment and market demand.

[0003] Prior art, such as the invention patent application with publication number CN107102626A, discloses an industrial automation control system comprising a remote control terminal, a PLC controller, an input / output module, a programmable controller, a relay, a servo system, a measuring unit, and a monitoring unit; the remote control terminal is connected to the PLC controller; the programmable controller, the measuring unit, and the monitoring unit are all connected to the PLC controller; the input / output module is connected to the programmable controller, the relay is connected to the input / output module, and the servo system is connected to the relay. The present invention has a reasonable design, is easy to use, and significantly reduces manual operation, making it suitable for widespread application.

[0004] In response to the above scheme, the applicant of the present invention found that the above technology has at least the following technical problems: 1. The above scheme does not control the production plan of each device, and the production cost of the product may change due to different power consumption time periods. The products are not classified according to the energy consumption perspective of the products. Different production plans are not set during peak, off-peak and flat periods of power consumption. The production plan of the equipment is not controlled, which increases production costs.

[0005] 2. The above scheme does not collect specific data of each device to analyze the accuracy of each product. The accuracy required for producing different products is different, and the energy consumed by each accuracy of the identification device is different. The above scheme only uses the same identification accuracy for different products, which will cause waste of device identification costs. At the same time, the above scheme does not control the specific modules of each device, does not collect the load data of the equipment, and cannot accurately control industrial production automation, which is likely to increase the failure rate of the equipment and increase production costs. Summary of the Invention

[0006] In view of the above-mentioned technical deficiencies, the present invention aims to provide an industrial automation control system and method.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an industrial automation control system, including the following modules: a production energy consumption analysis module, which is used to analyze the historical production energy consumption data in the database, obtain various high-energy consumption products and various low-energy consumption products, and then allocate production tasks.

[0008] The equipment identification monitoring module is used to collect the production data of the target equipment, thereby analyzing the production data of the target equipment, obtaining the accuracy index of the target equipment, and then adjusting the identification device of the target equipment.

[0009] The equipment load monitoring module is used to collect the status data of the target equipment, analyze the status data of the target equipment, obtain the load index of the target equipment, analyze the historical production rate data in the database, obtain the preset production rate of the target equipment, and then adjust the raw material transportation rate of the target equipment according to the load index of the target equipment and the preset production rate.

[0010] Preferably, the production energy consumption historical data in the database is analyzed, and the specific analysis process is as follows: the production energy consumption historical data includes the production energy consumption and production capacity of each product, and the production energy consumption historical data is substituted into the high energy consumption index calculation formula The high energy consumption index γ of product b is obtained + b , b is the product number, b=1,2......n, n>2, M b and N b are the production energy consumption and production capacity of product b, M′ and N′ are the preset standard production energy consumption and standard production capacity, η1 and η2 are the preset first production energy consumption weight factor and first production capacity weight factor, η1>0, η2>0, η1+η2=1.

[0011] If the high energy consumption index of a product is greater than or equal to the preset high energy consumption index, the product will be recorded as a high energy consumption product. If the high energy consumption index of a product is less than the preset high energy consumption index, the product will be recorded as a non-high energy consumption product.

[0012] Substitute the production energy consumption and production capacity of each non-high energy consumption product into the low energy consumption index calculation formula The low energy consumption index γ of non-high energy consumption product g is obtained - g , g is the number of non-high energy consumption products, g=1,2......w, w>2, M g and N gare the production energy consumption and production capacity of non-high energy consumption product g, η3 and η4 are the preset second production energy consumption weight factor and second production capacity weight factor, η3>0, η4>0, η3+η4=1. If the low energy consumption index of a non-high energy consumption product is greater than or equal to the preset low energy consumption index, the non-high energy consumption product is recorded as a low energy consumption product. If the low energy consumption index of a non-high energy consumption product is less than the preset low energy consumption index, the non-high energy consumption product is recorded as a normal energy consumption product.

[0013] Preferably, the specific allocation process of the production tasks is as follows: during the daily low electricity consumption period, the high-energy-consuming products are sorted in descending order according to the high-energy-consuming index, and each device produces the high-energy-consuming products in the order of each high-energy-consuming product. When the production of the first high-energy-consuming product reaches the set daily demand, the second high-energy-consuming product is produced until the production of the high-energy-consuming products is completed.

[0014] During the daily peak electricity consumption period, the low-energy products are sorted in descending order according to the high energy consumption index, and each device produces the low-energy products in order. When the production of the first low-energy product reaches the set daily demand, the second low-energy product will be produced until all the low-energy products are produced.

[0015] During the daily off-peak period of electricity consumption, the profit of each normal energy consumption product in the database is divided by the electricity consumption to obtain the electricity consumption rate of each normal energy consumption product. The normal energy consumption products are sorted in descending order according to the high energy consumption index. Each device produces the normal energy consumption products in the order of each normal energy consumption product. When the production of the first normal energy consumption product reaches the set daily demand, the second normal energy consumption product is produced until the production of all normal energy consumption products is completed.

[0016] Preferably, the specific adjustment process of the identification device of the target device is as follows: the standard accuracy index required for the production product type in the current production stage is obtained from the database; if the accuracy index of the target device in the current production stage is less than the standard accuracy index, the production accuracy of the identification device of the target device is replaced with a production accuracy scheme with a higher accuracy level; if the accuracy index of the target device in the current production stage is greater than the standard accuracy index, the production accuracy of the identification device of the target device is replaced with a production accuracy scheme with a lower accuracy level.

[0017] Preferably, the raw material transportation rate of the target device is adjusted, and the specific adjustment process is as follows: obtain the standard load index and the expected production rate of the target device in the current production stage from the database; if the load index of the target device is greater than the standard load index, reduce the raw material transportation rate of the target device until the load index of the target device is equal to the standard load index; if the production rate of the target device is equal to the expected production rate during the reduction of the raw material transportation rate of the target device, stop reducing the raw material transportation rate of the target device; if the load index of the target device is less than the standard load index, increase the raw material transportation rate of the target device until the load index of the target device is equal to the standard load index.

[0018] On the other hand, the present invention provides an industrial automation control method, comprising the following steps: Step 1, production energy consumption analysis: analyzing the historical production energy consumption data in the database to obtain high-energy consumption products and low-energy consumption products, and then allocating production tasks.

[0019] Step 2: Equipment identification monitoring: Collect the production data of the target equipment, analyze the production data of the target equipment, obtain the accuracy index of the target equipment, and then adjust the identification device of the target equipment.

[0020] Step 3: Equipment load monitoring: Collect the status data of the target equipment, analyze the status data of the target equipment, obtain the load index of the target equipment, analyze the historical production rate data in the database, obtain the preset production rate of the target equipment, and then adjust the raw material transportation rate of the target equipment according to the load index and preset production rate of the target equipment.

[0021] The beneficial effects of the present invention are: 1. The present invention classifies each product based on the historical data of production energy consumption, obtains the high energy consumption index of each high-energy consumption product and the low energy consumption index of each low-energy consumption product, produces low-energy consumption products during peak electricity consumption periods, and produces high-energy consumption products during low electricity consumption periods, and then arranges production plans, changes the accuracy of the collection equipment for the production data of the current production stage, and analyzes the load data at the same time to change the transportation rate of the transportation equipment. On the one hand, the present invention reduces production costs and reduces urban electricity consumption pressure by setting production plans for different products in different electricity consumption periods. On the other hand, the present invention increases the recognition cost of identification equipment, reduces the failure rate of equipment, and increases the safety of equipment by analyzing production data and load data. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0024] Figure 2 The figure is a schematic flow chart of the steps for implementing the method of the present invention. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0026] according to Figure 1 As shown, the present invention provides an industrial automation control system, which includes the following modules: a production energy consumption analysis module, an equipment identification and monitoring module, and an equipment load monitoring module.

[0027] The production energy consumption analysis module is connected to the database and the equipment identification monitoring module respectively, and the equipment load monitoring module is connected to the equipment identification monitoring module.

[0028] The production energy consumption analysis module is used to analyze the historical production energy consumption data in the database, obtain the high-energy consumption products and low-energy consumption products, and then allocate production tasks.

[0029] In a specific embodiment, the production energy consumption historical data in the database is analyzed, and the specific analysis process is as follows: the production energy consumption historical data includes the production energy consumption and production capacity of each product, and the production energy consumption historical data is substituted into the high energy consumption index calculation formula The high energy consumption index γ of product b is obtained + b , b is the product number, b=1,2......n, n>2, M b and N b are the production energy consumption and production capacity of product b, M′ and N′ are the preset standard production energy consumption and standard production capacity, η1 and η2 are the preset first production energy consumption weight factor and first production capacity weight factor, η1>0, η2>0, η1+η2=1.

[0030] It should be noted that the average energy consumption cost H and the average profit I of producing a single product during the low electricity consumption period are obtained from the database.

[0031] If the high energy consumption index of a product is greater than or equal to the preset high energy consumption index, the product will be recorded as a high energy consumption product. If the high energy consumption index of a product is less than the preset high energy consumption index, the product will be recorded as a non-high energy consumption product.

[0032] It should be noted that high-energy-consuming products are those that have high energy consumption when the production capacity is high.

[0033] Substitute the production energy consumption and production capacity of each non-high energy consumption product into the low energy consumption index calculation formula The low energy consumption index γ of non-high energy consumption product g is obtained - g , g is the number of non-high energy consumption products, g=1,2......w, w>2, M g and N g are the production energy consumption and production capacity of non-high energy consumption product g, η3 and η4 are the preset second production energy consumption weight factor and second production capacity weight factor, η3>0, η4>0, η3+η4=1. If the low energy consumption index of a non-high energy consumption product is greater than or equal to the preset low energy consumption index, the non-high energy consumption product is recorded as a low energy consumption product. If the low energy consumption index of a non-high energy consumption product is less than the preset low energy consumption index, the non-high energy consumption product is recorded as a normal energy consumption product.

[0034] It should be noted that low-energy consumption products are products with low energy consumption when the production capacity is high. The average energy consumption cost J and the average profit I of producing a single product during the peak electricity consumption period are obtained from the database.

[0035] In a specific embodiment, the production tasks are allocated, and the specific allocation process is as follows: during the daily low electricity consumption period, the high-energy-consuming products are sorted in descending order according to the high-energy-consuming index, and each device produces the high-energy-consuming products in the order of each high-energy-consuming product. When the production of the first high-energy-consuming product reaches the set daily demand, the second high-energy-consuming product is produced until the production of the high-energy-consuming products is completed.

[0036] During the daily peak electricity consumption period, the low-energy products are sorted in descending order according to the high energy consumption index, and each device produces the low-energy products in order. When the production of the first low-energy product reaches the set daily demand, the second low-energy product will be produced until all the low-energy products are produced.

[0037] During the daily off-peak period of electricity consumption, the profit of each normal energy consumption product in the database is divided by the electricity consumption to obtain the electricity consumption rate of each normal energy consumption product. The normal energy consumption products are sorted in descending order according to the high energy consumption index. Each device produces the normal energy consumption products in the order of each normal energy consumption product. When the production of the first normal energy consumption product reaches the set daily demand, the second normal energy consumption product is produced until the production of all normal energy consumption products is completed.

[0038] The equipment identification monitoring module is used to collect the production data of the target equipment, thereby analyzing the production data of the target equipment, obtaining the accuracy index of the target equipment, and then adjusting the identification device of the target equipment.

[0039] In a specific embodiment, the production data of the target device is collected, and the specific collection process is as follows: the number of defects of each product in the current production stage of the target device and the area of ​​each defect of each product are collected by an inspection camera.

[0040] If the number of defects of a product is less than or equal to the standard number of defects and the area of ​​each defect is less than or equal to the standard area of ​​the defect, the product is recorded as a good product. If the number of defects of a product is greater than the standard number of defects or the area of ​​any defect is greater than the standard area of ​​the defect, and the number of defects of the product is less than or equal to the maximum number of defects and the area of ​​each defect is less than or equal to the maximum area of ​​the defect, the product is recorded as a defective product. If the number of defects of a product is greater than the maximum number of defects or the area of ​​any defect is greater than the maximum area of ​​the defect, the product is recorded as a scrap product. The number of good products, defective products, scrap products and total production of the target equipment in the current production stage is statistically obtained.

[0041] In a specific embodiment, the production data of the target device is analyzed, and the specific analysis process is as follows: the production data of the target device includes the number of good products, the number of defective products, the number of scrapped products and the total production volume of the target device in the current production stage, and the production data of the target device is substituted into the accuracy index calculation formula The precision index β of the target equipment is obtained, E, F and G are respectively the number of good products, defective products and scrapped products produced by equipment a in the current production stage of the target equipment, σ′, σ″ and σ″′ are respectively the preset standard good rate, standard defective rate and standard scrap rate. and They are the preset good rate weight factor, defective rate weight factor and scrap rate weight factor,

[0042] It should be noted that the current production stage is the time from the start of production of the current type of product to the current time, and the past production stages are the time from the start of production of each product to the end of production. The average good rate of each device in the database in each past production stage is calculated to obtain the average good rate of each device. The largest average good rate is selected as the standard good rate. Similarly, the standard defective rate and standard scrap rate are obtained. At the same time, the total number of good products U, the total number of defective products V and the total number of scrapped products W are obtained from the database.

[0043] In a specific embodiment, the specific adjustment process of the target device identification system is as follows: the standard accuracy index required for the production product type in the current production stage is obtained from the database; if the accuracy index of the target device in the current production stage is less than the standard accuracy index, the production accuracy of the target device identification device is replaced with a production accuracy scheme with a higher accuracy level; if the accuracy index of the target device in the current production stage is greater than the standard accuracy index, the production accuracy of the target device identification device is replaced with a production accuracy scheme with a lower accuracy level.

[0044] It should be noted that production accuracy plans of different accuracy levels use different identification systems. As the accuracy level of the production accuracy plan decreases from high to low, the power consumption of the production accuracy plan also decreases.

[0045] The equipment load monitoring module is used to collect the status data of the target equipment, analyze the status data of the target equipment, obtain the load index of the target equipment, analyze the historical production rate data in the database, obtain the preset production rate of the target equipment, and then adjust the raw material transportation rate of the target equipment according to the load index of the target equipment and the preset production rate.

[0046] In a specific embodiment, the target device status data is analyzed, and the specific analysis process is as follows: the target device status data includes the torque load and power load of the target device in the current production stage, and the target device status data is substituted into the calculation formula of the load index , the load index δ of the target device is obtained, X and Y are the load torque and power load of the target device in the current production stage, X′ and Y′ are the standard load torque and standard power load, ρ1 and ρ2 are the preset weight factors of the load torque and power load, ρ1>0, ρ2>0, ρ1+ρ2=1.

[0047] It should be noted that the maximum load torque and maximum power load of each non-faulty device in the database are recorded as the standard load torque and standard power load. At the same time, the number of device failures P caused by load torque overload and the number of device failures Q caused by power load overload are obtained from the database.

[0048]

[0049] In a specific embodiment, the production rate history data in the database is analyzed. The specific analysis process is as follows: the production rate history data includes the number of equipment failures and the number of defective products at each production rate when the target equipment produces the product in the current production stage. The production rate history data is substituted into the production index calculation formula The production index α of the target equipment’s production rate when producing the product in the current production stage is obtained c , c is the number of production rate, c=1,2,......v,v>2, A′ and B′ are the preset number of standard equipment failures and standard equipment defective products respectively, A c and B c are the number of equipment failures and the number of defective products at the c production rate when the target equipment produces products in the current production stage, ε1 and ε2 are the preset weight factors of the number of failures and the weight factors of the number of defective products, respectively. ε1>0, ε2>0, ε1+ε2=1.

[0050] It should be noted that the average number of equipment failures and the average number of defective products produced at each production rate when each equipment produces each product are calculated to obtain the average number of equipment failures and the average number of defective products produced when each equipment produces each product. The average number of equipment failures and the average number of defective products produced when each equipment produces each product are calculated to obtain the average number of equipment failures and the average number of defective products produced for each equipment. The maximum average number of equipment failures and the maximum average number of defective products produced for each equipment are selected as the standard number of equipment failures and the standard number of defective products. At the same time, the number of failures of each equipment is divided by the usage time to obtain the failure rate of each equipment. The number of defective products produced by each equipment is divided by the total production to obtain the defective rate of each equipment. The average value of the failure rate of each equipment is calculated to obtain the standard failure rate. The average value of the defective rate of each equipment is calculated to obtain the standard defective rate. The number C of equipment with equipment failure rate higher than the standard failure rate and the number D of equipment with defective rate higher than the standard defective rate are statistically obtained.

[0051] If the production index of a certain production rate when the target device produces the product of the current production stage is greater than the preset production index, it indicates that the production rate when the target device produces the product of the current production stage is a qualified rate, and the maximum qualified production rate when the target device produces the product of the current production stage is selected as the preset production rate when the target device produces the product of the current production stage.

[0052] In a specific embodiment, the raw material transportation rate of the target device is adjusted, and the specific adjustment process is as follows: obtain the standard load index and the expected production rate of the target device in the current production stage from the database; if the load index of the target device is greater than the standard load index, reduce the raw material transportation rate of the target device until the load index of the target device is equal to the standard load index; if the production rate of the target device is equal to the expected production rate during the reduction of the raw material transportation rate of the target device, stop reducing the raw material transportation rate of the target device; if the load index of the target device is less than the standard load index, increase the raw material transportation rate of the target device until the load index of the target device is equal to the standard load index.

[0053] It should be noted that by reducing the raw material transportation rate of the target equipment and increasing the equipment rest time per unit time, the metal fatigue of the equipment force arm is reduced, the equipment usage time is increased, the failure rate is reduced, and the heat dissipation time of the wires is increased, reducing the overheating of the wires and cables.

[0054] A database is used to store historical data on production rates, electricity usage records, historical data on production energy consumption, daily demand for each product, the number of standard defects corresponding to each product type, the standard defect area corresponding to each product type, the maximum number of defects corresponding to each product type, the maximum defect area corresponding to each product type, the standard accuracy index required for each product type, the standard accuracy index required for each product type, the equipment standard load index, and the expected production rate of each equipment corresponding to each product.

[0055] according to Figure 2 As shown, the present invention provides an industrial automation control method, comprising the following steps:

[0056] Step 1: Production energy consumption analysis: Analyze the historical production energy consumption data in the database to identify high-energy-consuming products and low-energy-consuming products, and then allocate production tasks;

[0057] Step 2: Equipment identification monitoring: Collect the production data of the target equipment, analyze the production data of the target equipment, obtain the accuracy index of the target equipment, and then adjust the identification device of the target equipment;

[0058] Step 3: Equipment load monitoring: Collect the status data of the target equipment, analyze the status data of the target equipment, obtain the load index of the target equipment, analyze the historical production rate data in the database, obtain the preset production rate of the target equipment, and then adjust the raw material transportation rate of the target equipment according to the load index and preset production rate of the target equipment.

[0059] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. Industrial automation control system, characterized in that, Includes the following modules: The production energy consumption analysis module is used to analyze the historical production energy consumption data in the database. The historical production energy consumption data includes the production energy consumption and production capacity of each product. The analysis identifies the high-energy-consuming products and the low-energy-consuming products, and then allocates production tasks. Different production plans are set during peak, off-peak, and flat periods. Low-energy-consuming products are produced during peak periods, high-energy-consuming products are produced during off-peak periods, and production is sorted during the daily flat periods. The production energy consumption historical data in the database is analyzed. The specific analysis process is as follows: the production energy consumption historical data includes the production energy consumption and production capacity of each product. The production energy consumption historical data is substituted into the high energy consumption index calculation formula. The high energy consumption index of product b is obtained , b is the product number, and are the production energy consumption and production capacity of product b, and They are the preset standard production energy consumption and standard production capacity, and are respectively the preset first production energy consumption weight factor and the first production capacity weight factor; If the high energy consumption index of a product is greater than or equal to the preset high energy consumption index, the product will be recorded as a high energy consumption product; if the high energy consumption index of a product is less than the preset high energy consumption index, the product will be recorded as a non-high energy consumption product; Substitute the production energy consumption and production capacity of each non-high energy consumption product into the low energy consumption index calculation formula The low energy consumption index of non-high energy consumption product g is obtained , g is the number of non-high energy consumption products, and are the production energy consumption and production capacity of non-high energy consumption product g, and The second production energy consumption weight factor and the second production capacity weight factor are preset respectively. If the low energy consumption index of a non-high energy consumption product is greater than or equal to the preset low energy consumption index, the non-high energy consumption product is recorded as a low energy consumption product. If the low energy consumption index of a non-high energy consumption product is less than the preset low energy consumption index, the non-high energy consumption product is recorded as a normal energy consumption product. The equipment identification and monitoring module is used to collect the production data of the target equipment, analyze the production data of the target equipment, obtain the accuracy index of the target equipment, and then adjust the identification device of the target equipment; The production data of the target equipment is analyzed. The specific analysis process is as follows: the production data of the target equipment includes the number of good products, the number of defective products, the number of scrapped products and the total production volume of the target equipment in the current production stage. The production data of the target equipment is substituted into the accuracy index calculation formula , get the precision index of the target device , 、 and are the number of good products, defective products, and scrapped products produced by device a in the current production stage of the target device, 、 and They are the preset standard good rate, standard defective rate and standard scrap rate, 、 and They are respectively the preset good rate weight factor, defective rate weight factor and scrap rate weight factor; The specific adjustment process of adjusting the identification device of the target device is as follows: obtaining a standard accuracy index required for the production product type of the current production stage from a database; if the accuracy index of the target device in the current production stage is less than the standard accuracy index, then replacing the production accuracy of the identification device of the target device with a production accuracy solution of a higher accuracy level; if the accuracy index of the target device in the current production stage is greater than the standard accuracy index, then replacing the production accuracy of the identification device of the target device with a production accuracy solution of a lower accuracy level; production accuracy solutions of different accuracy levels use different identification systems; as the accuracy level of the production accuracy solution decreases, the power consumption of the production accuracy solution decreases; The equipment load monitoring module is used to collect the status data of the target equipment, analyze the status data of the target equipment, obtain the load index of the target equipment, analyze the historical production rate data in the database, obtain the preset production rate of the target equipment, and then adjust the raw material transportation rate of the target equipment according to the load index of the target equipment and the preset production rate; The target device status data is analyzed. The specific analysis process is as follows: the target device status data includes the torque load and power load of the target device in the current production stage. The target device status data is substituted into the calculation formula of the load index. Get the load index of the target device , and are the load torque and electrical energy load of the target equipment in the current production stage, and They are standard load torque and standard electrical energy load respectively. and are respectively the weight factor of the preset load torque and the weight factor of the electric energy load; The production rate history data in the database is analyzed. The specific analysis process is as follows: the production rate history data includes the number of equipment failures and the number of defective products at each production rate when the target equipment produces the product in the current production stage. The production rate history data is substituted into the production index calculation formula The production index of the target equipment's production rate when producing the current production stage product is obtained. , c is the number of production rate, and are the preset number of standard equipment failures and the number of standard equipment defectives, and are the number of equipment failures and the number of defective products produced at the c production rate when the target equipment produces the products of the current production stage, and are the weight factors of the preset number of failures and the weight factors of the number of defective products produced; If the production index of a certain production rate when the target device produces the product of the current production stage is greater than the preset production index, it indicates that the production rate when the target device produces the product of the current production stage is a qualified rate, and the maximum qualified production rate when the target device produces the product of the current production stage is selected as the preset production rate when the target device produces the product of the current production stage.

2. The industrial automation control system according to claim 1, characterized in that: The specific allocation process of the production task is as follows: During the daily low electricity consumption period, high-energy-consuming products are sorted in descending order according to their high energy consumption index, and each device produces them in the order of the high-energy-consuming products. When the production of the first high-energy-consuming product reaches the set daily demand, the second high-energy-consuming product will be produced until all high-energy-consuming products are produced; During the peak period of electricity consumption, the low-energy products are sorted in descending order according to the high energy consumption index, and each device produces the low-energy products in the order of their production. When the production of the first low-energy product reaches the set daily demand, the second low-energy product will be produced until all the low-energy products are produced. During the daily off-peak period of electricity consumption, the profit of each normal energy consumption product in the database is divided by the electricity consumption to obtain the electricity consumption rate of each normal energy consumption product. The normal energy consumption products are sorted in descending order according to the high energy consumption index. Each device produces the normal energy consumption products in the order of each normal energy consumption product. When the production of the first normal energy consumption product reaches the set daily demand, the second normal energy consumption product is produced until the production of all normal energy consumption products is completed.

3. The industrial automation control system according to claim 1, characterized in that: The specific adjustment process of adjusting the raw material transport rate of the target equipment is as follows: Obtain the standard load index and the expected production rate of the target equipment in the current production stage from the database. If the load index of the target equipment is greater than the standard load index, reduce the raw material transportation rate of the target equipment until the load index of the target equipment is equal to the standard load index. If the production rate of the target equipment is equal to the expected production rate while reducing the raw material transportation rate of the target equipment, stop reducing the raw material transportation rate of the target equipment. If the load index of the target equipment is less than the standard load index, increase the raw material transportation rate of the target equipment until the load index of the target equipment is equal to the standard load index.

4. The industrial automation control system according to claim 1, characterized in that: It also includes a database for storing historical data on production rates, electricity usage records, historical data on production energy consumption, daily demand for each product, the standard number of defects corresponding to each product type, the standard defect area corresponding to each product type, the maximum number of defects corresponding to each product type, the maximum defect area corresponding to each product type, the standard accuracy index required for each product type, the standard accuracy index required for each product type, the equipment standard load index and the expected production rate of each equipment corresponding to each product.

5. An industrial automation control method using the industrial automation control system according to any one of claims 1 to 4, characterized in that: The steps include: Step 1: Production energy consumption analysis: Analyze the historical production energy consumption data in the database to identify high-energy-consuming products and low-energy-consuming products, and then allocate production tasks; Step 2: Equipment identification monitoring: Collect the production data of the target equipment, analyze the production data of the target equipment, obtain the accuracy index of the target equipment, and then adjust the identification device of the target equipment; Step 3: Equipment load monitoring: Collect the status data of the target equipment, analyze the status data of the target equipment, obtain the load index of the target equipment, analyze the historical production rate data in the database, obtain the preset production rate of the target equipment, and then adjust the raw material transportation rate of the target equipment according to the load index and preset production rate of the target equipment.

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