Artificial intelligence based industrial energy optimization system and method

Abstract

The application discloses an industrial energy optimization system and method based on artificial intelligence, and belongs to the technical field of industrial energy control. The system comprises a production equipment management module, a data acquisition module, a database, a model analysis module, an intelligent monitoring and judging module and an environment control equipment management module; the production equipment management module is used for determining a plurality of production equipments in a workshop; the data acquisition module is used for acquiring environment data and energy control data; the database is used for storing historical data; the model analysis module is used for establishing an equipment parameter analysis model and a conversion efficiency analysis model; the intelligent monitoring and judging module is used for monitoring environment parameters of the production equipments; and the environment control equipment management module is used for controlling output power of environment control equipment. The application improves the stability of industrial product production and processing and the utilization efficiency of industrial energy by monitoring and controlling environment parameters of the production equipments.

Description

Technical Field

[0001] This invention relates to the field of industrial energy control technology, specifically to an industrial energy optimization system and method based on artificial intelligence. Background Technology

[0002] With the increasing contradiction between global energy supply and demand and the advancement of carbon neutrality goals, industrial energy optimization has become a key link in achieving sustainable development. Traditional industrial production models are highly dependent on energy and generally have low energy utilization efficiency, resulting in a large amount of energy waste. Traditional industrial energy systems rely on manual and fixed rules for regulation, making it difficult to cope with complex and ever-changing operating conditions. With the deep integration of information technology and industrial technology, energy optimization is evolving from the control of single equipment to the collaborative management of the entire industrial chain, promoting the intelligent management of industrial energy optimization.

[0003] In the process of industrial product manufacturing and processing, in order to prevent downtime or product quality problems caused by differences in environmental parameters of production equipment, environmental control equipment is usually turned on in advance and turned off in a delayed manner to manage environmental parameters and ensure equipment safety. However, this is often accompanied by huge industrial energy waste. Existing technology lacks the technical means to systematically control the environmental parameters of production equipment according to the needs of production tasks, and the inadequacy of intelligent control algorithms leads to insufficient precision in the output power adjustment of environmental control equipment, resulting in low industrial energy utilization efficiency. Summary of the Invention

[0004] The purpose of this invention is to provide a technical solution to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an industrial energy optimization method based on artificial intelligence, comprising:

[0006] The system collects environmental data and energy control data generated by production equipment in the workshop during the processing of industrial products. The environmental data includes the surrounding environmental parameters of the production equipment and the changes in these parameters. The energy control data includes the current operating time of the production equipment and the changes in the output power of the environmental control equipment in response to the environmental parameters.

[0007] Environmental data and energy control data are stored as historical data. Based on the stored historical environmental data and historical energy control data, equipment parameter analysis models and conversion efficiency analysis models are established to analyze the changes in environmental parameters of production equipment under different operating times and the impact of different output power on the environmental parameters of production equipment.

[0008] Determine the maximum threshold of environmental parameters for production equipment. When the workshop is processing industrial products, determine the required operating time of the production equipment based on the processing task. Based on the established parameter analysis model and the current environmental parameters of the surrounding environment of the production equipment, monitor the environmental parameters of the production equipment and determine whether it is necessary to start the environmental control equipment.

[0009] If the environmental control equipment does not need to be started, monitoring continues; if the environmental control equipment needs to be started, the output power of the environmental control equipment is controlled to adjust the environmental parameters of the production equipment according to the established parameter analysis model and conversion efficiency analysis model.

[0010] An AI-based industrial energy optimization system, which includes a production equipment management module, a data acquisition module, a database, a model analysis module, an intelligent monitoring and judgment module, and an environmental control equipment management module;

[0011] The production equipment management module is used to identify several production equipment in the workshop; each production equipment corresponds to a separate industrial product production process, which together form a complete production line; when processing industrial products, the process is carried out sequentially according to the production process, and the industrial products processed by the current production equipment are put into the next production equipment for processing; each type of production equipment is equipped with environmental control equipment.

[0012] The data acquisition module is used to collect environmental data and energy control data generated by the production equipment when processing industrial products; the environmental data includes the surrounding environmental parameters of the production equipment and the changes in environmental parameters; the energy control data includes the current operating time of the production equipment and the changes in the output power of the environmental control equipment in controlling the environmental parameters; and the collected environmental data and energy control data are sent to the database and the intelligent monitoring and judgment module.

[0013] The database is used to store historical environmental data and historical energy control data;

[0014] The model analysis module is used to establish equipment parameter analysis models and conversion efficiency analysis models based on stored historical environmental data and historical energy control data, and to analyze the changes in environmental parameters of production equipment under different operating durations and the impact of different output powers on the environmental parameters of production equipment.

[0015] The intelligent monitoring and judgment module is used to determine the maximum threshold of environmental parameters of the production equipment. When the workshop is processing industrial products, it determines the required operating time of the production equipment according to the processing task. Based on the established parameter analysis model and the current environmental parameters of the surrounding environment of the production equipment, it monitors the environmental parameters of the production equipment and determines whether the environmental control equipment needs to be started. If the environmental control equipment does not need to be started, it continues to monitor. If the environmental control equipment needs to be started, it sends a control signal to the environmental control equipment management module.

[0016] The environmental control equipment management module is used to adjust the environmental parameters of the production equipment by controlling the output power of the environmental control equipment according to the established parameter analysis model and conversion efficiency analysis model.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] 1. By establishing equipment parameter analysis models and conversion efficiency analysis models, we can accurately predict changes in environmental parameters of production equipment, facilitate more precise control of environmental control equipment, and improve the system's industrial energy optimization capabilities.

[0019] 2. By monitoring the environmental parameters of production equipment, calculating the output power of environmental control equipment under different operating times of production equipment, and making dynamic adjustments, the environmental parameters of production equipment are kept within a stable range, thereby improving the stability of industrial product production and processing and the efficiency of industrial energy utilization. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the structure of the industrial energy optimization system based on artificial intelligence of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] The present invention provides the following technical solution:

[0023] In this first embodiment, an artificial intelligence-based industrial energy optimization method is provided, including:

[0024] The system collects environmental data and energy control data generated by production equipment in the workshop during the processing of industrial products. The environmental data includes the surrounding environmental parameters of the production equipment and the changes in these parameters. The energy control data includes the current operating time of the production equipment and the changes in the output power of the environmental control equipment in controlling the environmental parameters.

[0025] Furthermore, the workshop includes several production equipment, each corresponding to a separate industrial product production process, which together form a complete production line. When processing industrial products, the process is carried out sequentially according to the production process, and the industrial products processed by the current production equipment are placed into the next production equipment for further processing. The setting parameters of each production equipment remain unchanged during the industrial product processing.

[0026] Furthermore, each type of production equipment is equipped with an environmental control device to monitor the environmental parameters of each production equipment. When a production equipment needs to be controlled and adjusted, the environmental control device on that production equipment is activated, and the rate of change of the environmental parameters of that production equipment is controlled by adjusting the output power of the environmental control device. The input environmental parameters remain unchanged when each environmental control device is controlling and adjusting.

[0027] In this implementation, the environmental parameters include temperature and humidity. Taking temperature as an example: each production equipment is equipped with a cooling system, which cools the equipment through air cooling. The collected environmental data are the temperature changes of different production equipment, and the ambient temperature of different production equipment is a fixed value. When the temperature is too high, it will have a significant impact on the processing of industrial products by the production equipment. Therefore, it is necessary to cool the production equipment through the cooling system to keep the temperature of the production equipment within the set maximum temperature threshold. When each cooling system is controlled and adjusted, the input cooling air temperature remains constant and is lower than the maximum temperature threshold of the production equipment. At this time, the rate of change of the environmental parameters of the production equipment is controlled by adjusting the output power of the cooling system and thus controlling the change of the cooling airflow.

[0028] Environmental data and energy control data are stored as historical data. Based on the stored historical environmental data and historical energy control data, equipment parameter analysis models and conversion efficiency analysis models are established to analyze the changes in environmental parameters of production equipment under different operating durations and the impact of different output powers on the environmental parameters of production equipment.

[0029] Furthermore, the method and steps for analyzing the changes in environmental parameters of production equipment under different operating durations and the impact of different output powers on the environmental parameters of production equipment are as follows:

[0030] S1. Establish a database to store historical environmental data and historical energy control data. Retrieve historical environmental data and historical energy control data from the database for analysis. Based on the historical environmental data, obtain the environmental parameters of the production equipment at different time points t. Based on historical energy control data and corresponding surrounding environmental parameters, the operating duration of the production equipment at different timestamps t is obtained. Output power of environmental control equipment for controlling environmental parameters of production equipment at different timestamps t ;

[0031] S2. Based on historical environmental data and historical energy control data when the environmental control equipment is not started, establish a parameter analysis model; using the operating time of the production equipment and surrounding environmental parameters as independent variables, and the environmental parameters of the production equipment as dependent variables, analyze the changes in the environmental parameters of the production equipment under different operating times, and fit the relationship curves of the influence of operating time and surrounding environmental parameters on the environmental parameters of the production equipment:

[0032] ;

[0033] Where W represents the environmental parameters of the production equipment; E represents the surrounding environmental parameters of the production equipment; and G represents the steady-state environmental parameters of the production equipment. The time constant of the production equipment is represented by T; T represents the operating time of the production equipment.

[0034] S3. Based on historical environmental data and historical energy control data at the start of the environmental control equipment, establish a conversion efficiency analysis model; based on the fitted relationship curve in the parameter analysis model, predict the environmental parameters of the production equipment when the environmental control equipment is not started. Based on the predicted environmental parameters of the production equipment, the deviation values ​​of the impact of the output power of the production equipment environmental parameter control on the environmental parameters at different time stamps t are obtained. Using the deviation value as the dependent variable and the output power of the production equipment environmental parameter control as the independent variable, the influence of different output powers on the production equipment environmental parameters is analyzed, and a relationship curve of the influence of output power on the production equipment environmental parameters is fitted:

[0035] ;

[0036] Where C represents the deviation of the output power of the environmental parameter control of the production equipment on the environmental parameters; P represents the output power of the environmental control equipment on the environmental parameter control of the production equipment; a and b are both constants.

[0037] In this embodiment, taking temperature as an example of an environmental parameter, the temperature of the production equipment continuously increases with the increase in operating time. By establishing a parameter analysis model, the historical environmental data and historical energy control data analysis results when the environmental control equipment is not started in S1 are used as training parameters for the relationship curve in S2. The relationship curve is fitted using the least squares method to analyze the temperature change of the production equipment under different operating times, thereby predicting the temperature of the production equipment; wherein, The larger the output power, the slower the temperature rises, and the longer it takes to reach steady state. By establishing a conversion efficiency analysis model, the historical environmental data and historical energy control data from the start-up of the environmental control equipment in S1 are used as training parameters for the relationship curve in S3. The relationship curve is fitted using the least squares method to analyze the impact of different output powers on the environmental parameters of the production equipment. The deviation of the output power controlling the environmental parameters of the production equipment from the environmental parameters is calculated using the following formula. get, It represents the operating time of production equipment at different timestamps t; through equipment parameter analysis models and conversion efficiency analysis models, it can more accurately predict changes in environmental parameters of production equipment, facilitate more precise control of environmental control equipment, and improve the system's industrial energy optimization capabilities.

[0038] Determine the maximum threshold values ​​for environmental parameters of production equipment. When the workshop is processing industrial products, determine the required operating time of the production equipment based on the processing task. Based on the established parameter analysis model and the current environmental parameters of the production equipment, monitor the environmental parameters of the production equipment and determine whether it is necessary to start the environmental control equipment.

[0039] It should be noted that the processing task refers to the quantity of industrial products to be processed. Since the parameters set during the processing of industrial products remain unchanged and are carried out sequentially according to the production process, the required operating time of the production equipment can be obtained by determining the time required for the industrial products to be processed in the production equipment.

[0040] Furthermore, the method for monitoring the environmental parameters of the production equipment and determining whether to activate the environmental control equipment is as follows: Determine the maximum threshold K of the environmental parameters of the production equipment and the required operating time T of the production equipment. Substitute T into the established parameter analysis model, and based on the current surrounding environmental parameters of the production equipment, predict the environmental parameters after the production equipment has finished operating if the environmental control equipment is not activated. ;right Analyze with K, if No environmental control equipment needs to be started; if The environmental control equipment needs to be activated.

[0041] It should be noted that by monitoring the environmental parameters of the production equipment, the environmental control equipment is not activated when the changes in the environmental parameters are not significant. This optimizes the process steps of the environmental control equipment while ensuring the efficiency of industrial product processing and production, thereby improving the utilization efficiency of industrial energy.

[0042] Furthermore, if it is not necessary to start the environmental control equipment, monitoring continues; if it is necessary to start the environmental control equipment, the output power of the environmental control equipment is controlled to adjust the environmental parameters of the production equipment according to the established parameter analysis model and conversion efficiency analysis model.

[0043] Furthermore, the method for adjusting the environmental parameters of the production equipment by controlling the output power of the environmental control equipment is as follows: based on the collected environmental data, the environmental parameters around the current production equipment are obtained, and the fitted relationship curve in the parameter analysis model is determined. Based on the fitted relationship curve in the conversion efficiency analysis model, the output power of the environmental control equipment under different production equipment operating times T is calculated. ,make Formula that satisfies the condition:

[0044] ;

[0045] in, express The derivative; based on the calculation The output power of environmental control equipment is dynamically adjusted.

[0046] It should be noted that as the operating time of production equipment increases, the frequency of changes in the environmental parameters of the production equipment also changes continuously. By predicting the frequency of changes in the environmental parameters of the production equipment, the output power of the environmental control equipment under different operating times T of the production equipment is calculated and dynamically adjusted, so that the environmental parameters of the production equipment are kept within a stable range, thereby improving the stability of industrial product production and processing.

[0047] Please see Figure 1 In this second embodiment: an industrial energy optimization system based on artificial intelligence is provided. The system includes a production equipment management module, a data acquisition module, a database, a model analysis module, an intelligent monitoring and judgment module, and an environmental control equipment management module.

[0048] The production equipment management module is used to identify several production equipment in the workshop; each production equipment corresponds to a separate industrial product production process, which together form a complete production line; when processing industrial products, the process is carried out sequentially according to the production process, and the industrial products processed by the current production equipment are put into the next production equipment for processing; each type of production equipment is equipped with environmental control equipment.

[0049] The data acquisition module is used to collect environmental data and energy control data generated by the production equipment when processing industrial products; the environmental data includes the surrounding environmental parameters of the production equipment and the changes in environmental parameters; the energy control data includes the current operating time of the production equipment and the changes in the output power of the environmental control equipment in controlling the environmental parameters; and the collected environmental data and energy control data are sent to the database and the intelligent monitoring and judgment module.

[0050] The database is used to store historical environmental data and historical energy control data;

[0051] The model analysis module is used to establish equipment parameter analysis models and conversion efficiency analysis models based on stored historical environmental data and historical energy control data, and to analyze the changes in environmental parameters of production equipment under different operating durations and the impact of different output powers on the environmental parameters of production equipment.

[0052] The intelligent monitoring and judgment module is used to determine the maximum threshold of environmental parameters of the production equipment. When the workshop is processing industrial products, it determines the required operating time of the production equipment according to the processing task. Based on the established parameter analysis model and the current environmental parameters of the surrounding environment of the production equipment, it monitors the environmental parameters of the production equipment and determines whether the environmental control equipment needs to be started. If the environmental control equipment does not need to be started, it continues to monitor. If the environmental control equipment needs to be started, it sends a control signal to the environmental control equipment management module.

[0053] The environmental control equipment management module is used to adjust the environmental parameters of the production equipment by controlling the output power of the environmental control equipment according to the established parameter analysis model and conversion efficiency analysis model.

[0054] Furthermore, an interactive display platform is provided, through which managers can view historical environmental data and historical energy control data stored in the database, manually set the maximum threshold of environmental parameters for production equipment, manually start environmental control equipment, and confirm the processing tasks of production equipment.

[0055] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. An industrial energy optimization method based on artificial intelligence, characterized in that: include: The system collects environmental data and energy control data generated by production equipment in the workshop during the processing of industrial products. The environmental data includes the surrounding environmental parameters of the production equipment and the changes in these parameters. The energy control data includes the current operating time of the production equipment and the changes in the output power of the environmental control equipment in response to the environmental parameters. Environmental data and energy control data are stored as historical data. Based on the stored historical environmental data and historical energy control data, equipment parameter analysis models and conversion efficiency analysis models are established to analyze the changes in environmental parameters of production equipment under different operating durations and the impact of different output powers on the environmental parameters of production equipment. The environmental parameters include temperature and humidity. The method and steps for analyzing the changes in environmental parameters of production equipment under different operating durations and the impact of different output powers on the environmental parameters of production equipment are as follows: S1. Establish a database to store historical environmental data and historical energy control data. Retrieve historical environmental data and historical energy control data from the database for analysis. Based on the historical environmental data, obtain the environmental parameters of the production equipment at different time points t. Based on historical energy control data and corresponding surrounding environmental parameters, the operating duration of the production equipment at different timestamps t is obtained. Output power of environmental control equipment for controlling environmental parameters of production equipment at different timestamps t ; S2. Based on historical environmental data and historical energy control data when the environmental control equipment is not started, establish a parameter analysis model; using the operating time of the production equipment and surrounding environmental parameters as independent variables, and the environmental parameters of the production equipment as dependent variables, analyze the changes in the environmental parameters of the production equipment under different operating times, and fit the relationship curves of the influence of operating time and surrounding environmental parameters on the environmental parameters of the production equipment: ； Where W represents the environmental parameters of the production equipment; E represents the surrounding environmental parameters of the production equipment; and G represents the steady-state environmental parameters of the production equipment. The time constant of the production equipment is represented by T; T represents the operating time of the production equipment. S3. Based on historical environmental data and historical energy control data at the start of the environmental control equipment, establish a conversion efficiency analysis model; based on the fitted relationship curve in the parameter analysis model, predict the environmental parameters of the production equipment when the environmental control equipment is not started. Based on the predicted environmental parameters of the production equipment, the deviation values ​​of the impact of the output power of the production equipment environmental parameter control on the environmental parameters at different time stamps t are obtained. Using the deviation value as the dependent variable and the output power of the production equipment environmental parameter control as the independent variable, the influence of different output powers on the production equipment environmental parameters is analyzed, and a relationship curve of the influence of output power on the production equipment environmental parameters is fitted: ； Where C represents the deviation of the output power of the environmental parameter control equipment on the environmental parameters; P represents the output power of the environmental control equipment on the environmental parameters of the production equipment; a and b are both constants; Determine the maximum threshold values ​​for environmental parameters of production equipment. When the workshop is processing industrial products, determine the required operating time of the production equipment based on the processing task. Based on the established parameter analysis model and the current environmental parameters of the production equipment, monitor the environmental parameters of the production equipment and determine whether it is necessary to start the environmental control equipment.

2. The industrial energy optimization method based on artificial intelligence according to claim 1, characterized in that: The workshop contains several production equipment, each corresponding to a separate industrial product production process, which together form a complete production line. When processing industrial products, the process is carried out sequentially according to the production process, and the industrial products processed by the current production equipment are put into the next production equipment for processing. The setting parameters of each production equipment remain unchanged during the industrial product processing.

3. The industrial energy optimization method based on artificial intelligence according to claim 2, characterized in that: Each type of production equipment is equipped with an environmental control device to monitor the environmental parameters of each piece of equipment. When a piece of production equipment needs to be controlled and adjusted, the environmental control device on that piece of equipment is activated, and the rate of change of the environmental parameters of that piece of equipment is controlled by adjusting the output power of the environmental control device. The input environmental parameters remain unchanged during the control and adjustment of each piece of equipment.

4. The industrial energy optimization method based on artificial intelligence according to claim 1, characterized in that: The method for monitoring the environmental parameters of production equipment and determining whether environmental control equipment needs to be activated is as follows: Determine the maximum threshold K of the environmental parameters of the production equipment and the required operating time T. Substitute T into the established parameter analysis model, and based on the current surrounding environmental parameters of the production equipment, predict the environmental parameters after the production equipment has finished operating if the environmental control equipment is not activated. ;right Analyze with K, if No environmental control equipment needs to be started; if The environmental control equipment needs to be activated.

5. The industrial energy optimization method based on artificial intelligence according to claim 4, characterized in that: If the environmental control equipment does not need to be started, continue monitoring; if the environmental control equipment needs to be started, adjust the environmental parameters of the production equipment by controlling the output power of the environmental control equipment according to the established parameter analysis model and conversion efficiency analysis model.

6. The industrial energy optimization method based on artificial intelligence according to claim 5, characterized in that: The method for adjusting the environmental parameters of production equipment by controlling the output power of environmental control equipment is as follows: Based on the collected environmental data, the environmental parameters around the current production equipment are obtained, and the fitted relationship curve in the parameter analysis model is determined. Based on the fitted relationship curve in the conversion efficiency analysis model, the output power of the environmental control equipment under different production equipment operating times T is calculated. ,make Formula that satisfies the condition: ； in, express The derivative; based on the calculation The output power of environmental control equipment is dynamically adjusted.

7. An artificial intelligence-based industrial energy optimization system, employing the artificial intelligence-based industrial energy optimization method as described in any one of claims 1-6, characterized in that: The system includes a production equipment management module, a data acquisition module, a database, a model analysis module, an intelligent monitoring and judgment module, and an environmental control equipment management module; The production equipment management module is used to identify several production equipment in the workshop; each production equipment corresponds to a separate industrial product production process, which together form a complete production line; when processing industrial products, the process is carried out sequentially according to the production process, and the industrial products processed by the current production equipment are put into the next production equipment for processing; each type of production equipment is equipped with environmental control equipment. The data acquisition module is used to collect environmental data and energy control data generated by the production equipment when processing industrial products; the environmental data includes the surrounding environmental parameters of the production equipment and the changes in environmental parameters; the energy control data includes the current operating time of the production equipment and the changes in the output power of the environmental control equipment in controlling the environmental parameters; and the collected environmental data and energy control data are sent to the database and the intelligent monitoring and judgment module. The database is used to store historical environmental data and historical energy control data; The model analysis module is used to establish equipment parameter analysis models and conversion efficiency analysis models based on stored historical environmental data and historical energy control data, and to analyze the changes in environmental parameters of production equipment under different operating durations and the impact of different output powers on the environmental parameters of production equipment. The intelligent monitoring and judgment module is used to determine the maximum threshold of environmental parameters of the production equipment. When the workshop is processing industrial products, it determines the required operating time of the production equipment according to the processing task. Based on the established parameter analysis model and the current environmental parameters of the surrounding environment of the production equipment, it monitors the environmental parameters of the production equipment and determines whether the environmental control equipment needs to be started. If the environmental control equipment does not need to be started, it continues to monitor. If the environmental control equipment needs to be started, it sends a control signal to the environmental control equipment management module. The environmental control equipment management module is used to adjust the environmental parameters of the production equipment by controlling the output power of the environmental control equipment according to the established parameter analysis model and conversion efficiency analysis model.

8. The industrial energy optimization system based on artificial intelligence according to claim 7, characterized in that: An interactive display platform is provided, which allows managers to view historical environmental and energy control data stored in the database, manually set maximum threshold values ​​for environmental parameters of production equipment, manually start environmental control equipment, and confirm processing tasks of production equipment.

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