Cooperative synchronous control system and method for environmental protection equipment in production

Abstract

The invention relates to the technical field of environmental protection equipment cooperative control, in particular to an environmental protection equipment cooperative synchronous control system and method for production. Pollutants generated in the printing and dyeing production control process are divided into a plurality of control monitoring levels through control clustering analysis; generating a preliminary printing and dyeing control network and a network weight based on the control monitoring level, carrying out network weight association on the environmental protection equipment control parameters, the datamation process and the datamation equipment control parameters, and establishing a printing and dyeing control parameter monitoring model; and updating the related weight of the preliminary printing and dyeing control network according to the analysis result of the opening control signal and the closing control information so as to generate the printing and dyeing control network for controlling the opening and closing of the environmental protection equipment and monitoring the processing frequency. And automatic and intelligent starting and stopping of the environment-friendly equipment are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of coordinated control of environmental protection equipment, and in particular to a coordinated synchronous control system and method for environmental protection equipment used in production. Background Art

[0002] With the increasing attention paid to environmental pollution methods in recent years, the large amount of harmful substances, material waste and energy waste in the printing and dyeing production process also require increased attention to these pollution problems. Therefore, a large number of environmental protection equipment will be used to collect data during the printing and dyeing process to minimize pollution problems.

[0003] However, due to the low level of intelligence of these environmental protection equipment nowadays, and the printing and dyeing process involves different types of pollution problems at different stages and times, and the existing environmental protection equipment is unable to perform intelligent data collection and analysis, therefore, in the production process, these environmental protection equipment will also cause some unnecessary energy consumption.

[0004] During the monitoring process of environmental protection equipment, if the coordinated control of environmental protection equipment and printing and dyeing equipment can be achieved, the coordinated work of environmental protection equipment and printing and dyeing equipment can be achieved to reduce the impact of the above-mentioned problems. However, since the printing and dyeing production process includes the start and stop of multiple groups of equipment, how to achieve the coordinated control of the start and stop of environmental protection equipment when the production equipment in the corresponding printing and dyeing production link is started and stopped becomes a key issue.

[0005] To this end, a collaborative synchronization control system and method for environmental protection equipment in production are proposed. Summary of the invention

[0006] The purpose of the present invention is to provide a collaborative synchronous control system and method for environmental protection equipment used in production. Pollutants generated in the printing and dyeing production control process are divided into multiple control monitoring levels through control cluster analysis, and a preliminary printing and dyeing control network and network weights are generated based on the control monitoring levels. The environmental protection equipment control parameters are associated with the digitized process and the digitized equipment control parameters through network weights. By establishing a printing and dyeing control parameter monitoring model, the analysis results of the opening control signal and the closing control information are used to update the relevant weights of the preliminary printing and dyeing control network to generate a printing and dyeing control network that controls the opening and closing of environmental protection equipment and monitors the processing frequency. The above method can achieve the coordination of intelligent environmental protection equipment and printing and dyeing equipment, and reduce unnecessary energy consumption of environmental protection equipment during the monitoring and processing process.

[0007] To achieve the above object, the present invention provides the following technical solutions: A coordinated synchronous control system for environmental protection equipment used in production, comprising: The printing and dyeing process segmentation module obtains all the production control processes in the printing and dyeing process, performs control cluster analysis on the production control processes according to the pollutants generated in the production control processes, and divides them into multiple control monitoring levels; Further, a plurality of pollutant environmental monitoring control coefficients are divided according to the pollutants, a plurality of pollutant production control coefficients are set according to the historical average production amount of the pollutants, a pollutant control two-dimensional coordinate system is established with the pollutant environmental monitoring control coefficients and the pollutant production control coefficients, and clustering is performed according to the DBSCAN clustering algorithm to obtain a first control monitoring level; The second control monitoring level is obtained according to the control association quantity and control association degree of the pollutant and the production control process; the control monitoring level of the pollutant is obtained by combining the first control monitoring level and the second control monitoring level, specifically: ; in, For the control monitoring level, is the first control monitoring level, ln is an exponential function with e as the base, is the control association quantity, is the control correlation, is the amount of pollutants generated by the i-th production control process, is the pollutant production control coefficient, , N is the total number of production control processes, is the control-related parameter threshold, and To control the monitoring coefficient; The printing and dyeing control network generation module generates a basic printing and dyeing control network according to the production control process, and assigns a control weight to the basic printing and dyeing control network according to the control monitoring level to obtain a preliminary printing and dyeing control network; the specific process of the preliminary printing and dyeing control network is: generate printing and dyeing control nodes according to each of the production control processes, connect the printing and dyeing control nodes according to the production control correlation of the historical production control process to generate a basic printing and dyeing control network, and assign the control monitoring level to each printing and dyeing control node to obtain the control weight; The printing and dyeing control process monitoring module generates a printing and dyeing control process function according to the printing and dyeing control process, establishes a printing and dyeing control parameter monitoring model, and monitors the printing and dyeing control process function; the specific process is: the printing and dyeing control process function includes start-up and closing control data and process control data, the start-up and closing control data is the vertical axis, and the process control data is the horizontal axis; the start-up and closing control data includes start-up control data and close-down control data, the start-up control data is 1, and the close-down control data is 0; the process control data is time; The key control parameter association module of printing and dyeing obtains the equipment control parameters of the production control process, maps the equipment control parameters to the control weights of the preliminary printing and dyeing control network, and associates the various environmental protection equipment control parameters according to the control weights of the preliminary printing and dyeing control network; and initializes the environmental protection equipment control parameters; the specific process is: according to the control weights, the corresponding environmental protection equipment is associated, the equipment control parameters generate equipment control nodes and connect the environmental protection equipment to generate control weights, and the initialization of the environmental protection equipment control parameters is completed; the value of the control weight initialization is 1; An environmental protection equipment control parameter weight update module, which analyzes each of the equipment control parameters according to the printing and dyeing control parameter monitoring model, updates the environmental protection equipment control parameters according to the equipment control parameters, generates a parameter printing and dyeing control network and controls the monitoring and processing frequency of the environmental protection equipment; Furthermore, the printing and dyeing control parameter monitoring model includes an equipment control parameter input processing unit, a control parameter abnormality identification unit, a control parameter abnormality correction unit and a control parameter mode output unit; The control parameter input processing unit performs time sequence preprocessing on the input data to generate pre-input control parameters; the input data includes the printing and dyeing control process function and the equipment control parameters; the input data includes multiple pieces of data; The control parameter abnormality identification unit performs control abnormality feature identification on the pre-input control parameter; the control abnormality feature identification is an on signal and a off signal of the device control parameter, and the control parameter abnormality identification unit includes an Attention mechanism and a GRU algorithm; The control parameter abnormality checking unit obtains the corresponding pre-input control parameter according to the identified control abnormality feature, and calculates the control signal similarity in combination with the cosine similarity and the stored control signal; The control parameter mode output unit outputs the key equipment control association degree according to the result of the control signal similarity; According to the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment, collaborative control and collaborative processing are performed; specifically: ; in, for the environmental protection equipment control parameters, To control the monitoring level, is the device control parameter, The environmental protection equipment control parameters are initialized. To monitor the frequency, Describes frequency data mapping, is the parameter printing and dyeing control network, The jth key equipment control parameter analyzed by the printing and dyeing control parameter monitoring model , is the total number of key equipment control parameters of the kth process, and N is the total number of production control processes.

[0008] The present invention also proposes a method for coordinated synchronous control of environmental protection equipment in production, comprising: Obtain all production control processes in the printing and dyeing process, perform control cluster analysis on the production control processes according to the pollutants generated in the production control processes, and divide the production control processes into multiple control monitoring levels; Generate a basic printing and dyeing control network according to the production control process, assign a control weight to the basic printing and dyeing control network according to the control monitoring level, and obtain a preliminary printing and dyeing control network; Generate a printing and dyeing control process function according to the printing and dyeing control process, establish a printing and dyeing control parameter monitoring model, and monitor the printing and dyeing control process function; Acquire the equipment control parameters of the production control process, map the equipment control parameters to the control weights of the preliminary printing and dyeing control network, associate various environmental protection equipment control parameters according to the control weights of the preliminary printing and dyeing control network; and initialize the environmental protection equipment control parameters; Analyze each of the equipment control parameters based on the printing and dyeing control parameter monitoring model, update the environmental protection equipment control parameters based on the equipment control parameters, generate a parameter printing and dyeing control network and control the monitoring and processing frequency of the environmental protection equipment; perform collaborative control and collaborative processing based on the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment.

[0009] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains corresponding control monitoring levels by clustering and statistically analyzing various pollutants generated in the printing and dyeing production process according to the types of pollutants and the historical generation amounts of pollutants. This method can screen various pollutants generated in the printing and dyeing production process based on historical data, screen out major pollutants, minimize the energy consumption of unnecessary environmental protection equipment during the monitoring process, achieve coordinated control of key environmental protection equipment, and provide corresponding data basis for the monitoring and processing frequency of subsequent environmental protection equipment and the printing and dyeing control network.

[0010] 2. The present invention establishes a printing and dyeing control parameter monitoring model, analyzes the printing and dyeing control process and the control parameters related to the printing and dyeing equipment based on the model, and uses the start-up signal of the related processing equipment in this link and the process start-up signal as the start-up signal of the environmental protection equipment. This method can intelligently analyze the start-up signal of each device to accurately obtain the start-up signal of the environmental protection equipment, and also avoid some erroneous signals that lead to discrimination and identification to avoid premature closure and premature opening of the environmental protection equipment. At the same time, after subsequent equipment improvements or changes in the printing and dyeing production links, it can also be intelligent and automated to ensure that the environmental protection equipment can be accurately coordinated to start and shut down to minimize unnecessary energy consumption of the environmental protection equipment, and further provide a corresponding data basis for the printing and dyeing control network to achieve coordinated control of environmental protection equipment and printing and dyeing equipment.

[0011] 3. The present invention generates relevant weights of the printing and dyeing control network for monitoring through the analysis results of the printing and dyeing control parameter monitoring model and the control monitoring level of pollutants. Through this method, all data can be quantified. Based on the quantification results, not only can the monitoring and treatment frequency of different pollutants by environmental protection equipment in different environments be carried out through the printing and dyeing control network, but also the environmental protection equipment can be started and shut down in a digitized and intelligent manner based on the printing and dyeing control network, thereby reducing unnecessary consumption caused by environmental protection equipment and realizing coordinated control of environmental protection equipment to the greatest extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 is a system flow chart of the present invention; Figure 2 A virtual device diagram of the printing and dyeing control parameter monitoring model of the present invention; Figure 3 A network structure diagram of a control parameter anomaly identification unit of a printing and dyeing control parameter monitoring model of the present invention; Figure 4 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0014] Environmental protection is the most important part of the current production process. In addition to polluted wastewater and waste gas, energy waste and material waste are also part of the current environmental protection. A variety of pollutants and wastes will be generated in the printing and dyeing process. Therefore, pollution monitoring and pollution treatment of environmental protection equipment in the production process are also part of the current production. However, long-term use and monitoring of environmental protection equipment can easily cause some unnecessary energy consumption. For this reason, the present invention provides a collaborative synchronous control system for environmental protection equipment in production, referring to Figure 1 As shown, the technical solution is as follows: The printing and dyeing process segmentation module obtains all the production control processes in the printing and dyeing process, performs control cluster analysis on the production control processes according to the pollutants generated in the production control processes, and divides them into multiple control monitoring levels; A printing and dyeing control network generation module generates a basic printing and dyeing control network according to the production control process, assigns a control weight to the basic printing and dyeing control network according to the control monitoring level, and obtains a preliminary printing and dyeing control network; A printing and dyeing control process monitoring module generates a printing and dyeing control process function according to the printing and dyeing control process, establishes a printing and dyeing control parameter monitoring model, and monitors the printing and dyeing control process function; The key control parameter association module of printing and dyeing obtains the equipment control parameters of the production control process, maps the equipment control parameters to the control weights of the preliminary printing and dyeing control network, associates various environmental protection equipment control parameters according to the control weights of the preliminary printing and dyeing control network; and initializes the environmental protection equipment control parameters; The environmental protection equipment control parameter weight update module analyzes each of the equipment control parameters according to the printing and dyeing control parameter monitoring model, updates the environmental protection equipment control parameters according to the equipment control parameters, generates a parameter printing and dyeing control network and controls the monitoring and processing frequency of the environmental protection equipment; and performs collaborative control and collaborative processing according to the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment.

[0015] Based on all pollutants generated in the production control process, multiple control levels are divided through clustering methods and statistical methods. The control weights of the basic printing and dyeing control network are generated according to the control level and production control process to obtain a preliminary printing and dyeing control network. This solution can realize data quantification and generate the corresponding printing and dyeing control network based on the existing process. At the same time, the network can also be used as one of the key data for the control of environmental protection equipment, providing a data basis for the subsequent coordinated control of environmental protection equipment and production equipment and unnecessary energy consumption.

[0016] By establishing a printing and dyeing control parameter monitoring model, the digitized processes and the related equipment control parameters of each process are analyzed. Based on these data analysis results, intelligent identification can be made from the related equipment control parameters to associate the printing and dyeing control network, and the intelligent monitoring and processing of environmental protection equipment can be realized through the printing and dyeing control network after data quantification. Based on the above content, the control data can be intelligently analyzed through a deep learning algorithm to avoid some unexpected control signals of the equipment causing errors in the coordinated control of the environmental protection equipment. At the same time, intelligent monitoring can still be achieved when the production link is optimized to reduce the cost of subsequent data re-analysis. At the same time, the frequency of environmental protection equipment can be automatically and intelligently monitored, processed and adjusted based on different data in different scenarios to minimize energy consumption and realize the coordinated control of the start and stop of intelligent environmental protection equipment that produces different pollutants in different production links. At the same time, the frequency of intelligent monitoring and processing can be adjusted based on existing data to realize the coordinated control of the monitoring and processing of the environmental protection equipment itself in different scenarios.

[0017] Embodiment 1 For the purpose of specific explanation, the following contents are combined for elaboration: The printing and dyeing process segmentation module obtains all the production control processes in the printing and dyeing process, performs control cluster analysis on the production control processes according to the pollutants generated in the production control processes, and divides them into multiple control monitoring levels; pollutants include pollutants that actually cause harm to the environment (such as waste gas from solvent volatilization, etc.), material waste in the printing and dyeing production process (such as ink residue, etc.) and energy waste in the production process (such as heat energy waste in dryers or coolers, etc.); Further, a plurality of pollutant environmental monitoring control coefficients are divided according to the pollutants, a plurality of pollutant production control coefficients are set according to the historical average production amount of the pollutants, a pollutant control two-dimensional coordinate system is established with the pollutant environmental monitoring control coefficients and the pollutant production control coefficients, the pollutant environmental monitoring control coefficients are used as the horizontal axis, the pollutant production control coefficients are used as the vertical axis, and clustering is performed according to the DBSCAN clustering algorithm to obtain a first control monitoring level; The second control monitoring level is obtained according to the control association quantity and control association degree of the pollutant and the production control process; the control monitoring level of the pollutant is obtained by combining the first control monitoring level and the second control monitoring level, specifically: ; in, For the control monitoring level, is the first control monitoring level, ln is an exponential function with e as the base, is the control association quantity, is the control correlation, is the amount of pollutants generated by the i-th production control process, is the pollutant production control coefficient, , N is the total number of production control processes, is the control-related parameter threshold, and To control the monitoring coefficient; ; The value of is set based on expert experience combined with historical data; Since there are many types of pollutants generated in the production process, and the pollutants generated by each pollutant in different printing and dyeing production stages are not completely consistent, in order to maximize the coordinated control of environmental protection equipment and printing and dyeing equipment to achieve efficient use of environmental protection equipment, the pollutants in each process production link are divided into multiple pollutant levels through cluster analysis and statistical analysis. This method can eliminate pollutants with small output and focus on managing pollutants with large output. In addition, these data quantification results can help provide accurate data basis for the subsequent production printing and dyeing production network, and provide an effective data basis for the subsequent coordinated control of environmental protection equipment. The printing and dyeing control network generation module generates a basic printing and dyeing control network according to the production control process, and assigns a control weight to the basic printing and dyeing control network according to the control monitoring level to obtain a preliminary printing and dyeing control network; the specific process of the preliminary printing and dyeing control network is: generate printing and dyeing control nodes according to each of the production control processes, connect the printing and dyeing control nodes according to the production control correlation of the historical production control process to generate a basic printing and dyeing control network, and assign the control monitoring level to each printing and dyeing control node to obtain the control weight; the printing and dyeing control network performs data storage and data transmission based on the industrial Internet; By quantifying the data of this production process link, it is helpful to network the data of the entire production link. At the same time, quantifying the data in combination with the connection degree of each link will help improve the accuracy of the connection of each link in the printing and dyeing control network after data networking; the data-based process will help to assist the coordinated control of environmental protection equipment. Based on the quantified data and data correlation, it is convenient to start and shut down the subsequent environmental protection equipment in a coordinated manner. At the same time, it is also convenient to trace the data when a problem of coordinated control occurs, which provides convenience for subsequent maintenance work; The printing and dyeing control process monitoring module generates a printing and dyeing control process function according to the printing and dyeing control process, establishes a printing and dyeing control parameter monitoring model, and monitors the printing and dyeing control process function; the specific process is: the printing and dyeing control process function includes opening and closing control data and process control data, the opening and closing control data is the vertical axis, and the process control data is the horizontal axis; the opening and closing control data includes start control data and close control data, the start control data is 1, and the close control data is 0; the process control data is time; the time length of each production link of the printing and dyeing control process function can be set according to expert experience and the time of the historical production process; In order to improve the robustness and accuracy of the entire printing and dyeing control network in the coordinated control with environmental protection equipment, a timeline function was established as one of the auxiliary reference data based on the entire production process. Another method of digitizing the printing and dyeing production process was used as a data reference basis, and intelligent data monitoring was performed through a deep learning model, so that when problems occur, the production control network can be self-calibrated with the help of the timeline function, thereby improving the robustness and accuracy of the environmental protection equipment coordinated control system; The key control parameter association module of printing and dyeing obtains the equipment control parameters of the production control process, maps the equipment control parameters to the control weights of the preliminary printing and dyeing control network, and associates the control parameters of various environmental protection equipment according to the control weights of the preliminary printing and dyeing control network; and initializes the control parameters of the environmental protection equipment; the specific process is: according to the control weights, the corresponding environmental protection equipment is associated, the equipment control parameters generate equipment control nodes and connect the environmental protection equipment to generate control weights, and the initialization of the control parameters of the environmental protection equipment is completed; the initialization value of the control weight is 1; in order to ensure accuracy in the initial stage, all equipment control nodes in each link are associated with environmental protection equipment, and then updated after the model is intelligently analyzed; Based on the digitized equipment parameters of the entire production process, as the nodes of the entire printing and dyeing control network, the environmental protection equipment control parameters are connected through these nodes, and the control data of the environmental protection equipment can be quantified, which is convenient for subsequent collaborative control processing. At the same time, the quantified data is initialized, which is also convenient for more accurate collaborative control in different scenarios, ensuring that the environmental protection equipment control can play a corresponding efficient result in the corresponding environment, so as to improve the efficiency and accuracy of the collaborative control of environmental protection equipment; An environmental protection equipment control parameter weight update module, which analyzes each of the equipment control parameters according to the printing and dyeing control parameter monitoring model, updates the environmental protection equipment control parameters according to the equipment control parameters, generates a parameter printing and dyeing control network and controls the monitoring and processing frequency of the environmental protection equipment; Furthermore, the printing and dyeing control parameter monitoring model includes an equipment control parameter input processing unit, a control parameter abnormality identification unit, a control parameter abnormality correction unit and a control parameter mode output unit. Figure 2 As shown; The control parameter input processing unit performs time series preprocessing on the input data to generate pre-input control parameters; the input data includes the printing and dyeing control process function and the equipment control parameters; the input data includes multiple pieces of data; the data are historical equipment control parameters of all equipment (for example, but not limited to the temperature signal and liquid level signal of the desizing machine in the desizing process, the chemical concentration signal and pH value signal in the bleaching process, etc.); the time series preprocessing includes data segmentation and Z-score standardization; The control parameter abnormality identification unit identifies the control abnormality characteristics of the pre-input control parameters; the control abnormality characteristics are identified as the on signal and the off signal of the device control parameters, and the control parameter abnormality identification unit includes the Attention mechanism and the GRU algorithm; the model network structure refers to Figure 3 As shown; The control parameter abnormality checking unit obtains the corresponding pre-input control parameter according to the identified control abnormality feature, and calculates the control signal similarity in combination with the cosine similarity and the stored control signal; The control parameter mode output unit outputs the key equipment control association degree according to the result of the control signal similarity; The printing and dyeing control parameter monitoring model is mainly based on the start and close signals of the historical equipment control parameters, from which it finds out which start and close signals represent the start and end of the link, which is used as the basis for subsequent monitoring in actual production, and outputs the correlation of key equipment control, which is based on the data similarity result calculated by cosine similarity, inferring whether the data is the start and end of the link, so as to output which equipment control signals among all these control signals are related to the link and which equipment control signals are not related to the link; Combining the self-attention mechanism and the GRU algorithm, the startup and shutdown signals of the equipment in each link of the entire process are monitored, and the characteristics of the startup signal and the shutdown signal are used to identify abnormal data. This method can combine the advantages of the timing anomaly recognition algorithm to improve the accuracy of the control signal recognition of each device, so as to facilitate the intelligent monitoring of the entire printing and dyeing control network and facilitate more accurate intelligent collaborative control of environmental protection equipment. According to the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment, collaborative control and collaborative processing are performed; specifically: ; in, for the environmental protection equipment control parameters, To control the monitoring level, is the device control parameter, The environmental protection equipment control parameters are initialized. To monitor the frequency, Describes frequency data mapping, is the parameter printing and dyeing control network, The jth key equipment control parameter analyzed by the printing and dyeing control parameter monitoring model , is the total number of key equipment control parameters of the kth process, and N is the total number of production control processes; Based on the above results, under the quantified data of the printing and dyeing control network, process function and environmental protection equipment, the printing and dyeing control network signal can be used as the overall skeleton to carry out the basis for the coordinated control of environmental protection equipment monitoring and processing. At the same time, combined with the calculated pollution results, more detailed monitoring and analysis can be carried out on the key pollutants in the entire production process, and more accurate and efficient environmental protection equipment control can be obtained for large amounts of pollutants, so as to reduce unnecessary energy consumption of environmental protection equipment. At the same time, subsequent changes and corrections can be made based on the above data, so as to facilitate the subsequent maintenance and optimization of the printing and dyeing control network after the data is quantified.

[0018] Embodiment 2 The present invention also proposes a method for coordinated synchronous control of environmental protection equipment in production, referring to Figure 4 As shown, including: Obtain all production control processes in the printing and dyeing process, perform control cluster analysis on the production control processes according to the pollutants generated in the production control processes, and divide the production control processes into multiple control monitoring levels; Generate a basic printing and dyeing control network according to the production control process, assign a control weight to the basic printing and dyeing control network according to the control monitoring level, and obtain a preliminary printing and dyeing control network; Generate a printing and dyeing control process function according to the printing and dyeing control process, establish a printing and dyeing control parameter monitoring model, and monitor the printing and dyeing control process function; Acquire the equipment control parameters of the production control process, map the equipment control parameters to the control weights of the preliminary printing and dyeing control network, associate various environmental protection equipment control parameters according to the control weights of the preliminary printing and dyeing control network; and initialize the environmental protection equipment control parameters; Analyze each of the equipment control parameters according to the printing and dyeing control parameter monitoring model, update the environmental protection equipment control parameters according to the equipment control parameters, generate a parameter printing and dyeing control network and control the monitoring and processing frequency of the environmental protection equipment; the printing and dyeing control parameter monitoring model labels the data according to expert experience during the training phase to determine the key signals of different links, for example, if link 1 has 2 key signals, they are labeled as 11 and 12, and the other irrelevant signals are labeled as 10; if link 2 has 3 key signals, they are labeled as 21, 22 and 23, and the other irrelevant signals are labeled as 20. The labeling method is not unique and can be changed according to the specific situation; In order to ensure the accuracy of signal recognition after training, in this embodiment, 5 groups of untrained historical data are selected as real environment simulation data for intelligent recognition of key signals in combination with expert experience. The recognition results are shown in Table 1: Table 1 Recognition accuracy of the printing and dyeing control parameter monitoring model simulating the real environment

[0019] Based on the recognition results in Table 1, the overall accuracy is maintained at around 90%, and the recognition accuracy is good; Collaborative control and collaborative processing are performed based on the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment.

[0020] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A coordinated synchronous control system for environmental protection equipment used in production, characterized in that: include: The printing and dyeing process segmentation module obtains all the production control processes in the printing and dyeing process, performs control cluster analysis on the production control processes according to the pollutants generated in the production control processes, and divides them into multiple control monitoring levels; A printing and dyeing control network generation module generates a basic printing and dyeing control network according to the production control process, assigns a control weight to the basic printing and dyeing control network according to the control monitoring level, and obtains a preliminary printing and dyeing control network; A printing and dyeing control process monitoring module generates a printing and dyeing control process function according to the printing and dyeing control process, establishes a printing and dyeing control parameter monitoring model, and monitors the printing and dyeing control process function; The key control parameter association module of printing and dyeing obtains the equipment control parameters of the production control process, maps the equipment control parameters to the control weights of the preliminary printing and dyeing control network, associates various environmental protection equipment control parameters according to the control weights of the preliminary printing and dyeing control network; and initializes the environmental protection equipment control parameters; The environmental protection equipment control parameter weight update module analyzes each of the equipment control parameters according to the printing and dyeing control parameter monitoring model, updates the environmental protection equipment control parameters according to the equipment control parameters, generates a parameter printing and dyeing control network and controls the monitoring and processing frequency of the environmental protection equipment; and performs collaborative control and collaborative processing according to the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment.

2. The coordinated synchronous control system for environmental protection equipment used in production according to claim 1 is characterized in that: According to the pollutants generated in the production control process, the production control process is subjected to control cluster analysis, and the process is divided into multiple control monitoring levels, including: Divide a plurality of pollutant environmental monitoring control coefficients according to the pollutants, set a plurality of pollutant production control coefficients according to the historical average production amount of the pollutants, establish a pollutant control two-dimensional coordinate system according to the pollutant environmental monitoring control coefficients and the pollutant production control coefficients, and perform clustering according to the DBSCAN clustering algorithm to obtain a first control monitoring level; The second control monitoring level is obtained according to the control association quantity and control association degree of the pollutant and the production control process; the control monitoring level of the pollutant is obtained by combining the first control monitoring level and the second control monitoring level, specifically: ； in, For the control monitoring level, is the first control monitoring level, ln is an exponential function with e as the base, is the control association quantity, is the control correlation, is the amount of pollutants generated by the i-th production control process, is the pollutant production control coefficient, , N is the total number of production control processes, is the control-related parameter threshold, and To control the monitoring coefficient.

3. The coordinated synchronous control system for environmental protection equipment used in production according to claim 1 is characterized in that: A basic printing and dyeing control network is generated according to the production control process, and a control weight of the basic printing and dyeing control network is assigned according to the control monitoring level. The process of obtaining a preliminary printing and dyeing control network includes: generating printing and dyeing control nodes according to each of the production control processes, connecting the printing and dyeing control nodes according to the production control correlation of the historical production control process to generate a basic printing and dyeing control network, and assigning the control monitoring level to each printing and dyeing control node to obtain the control weight.

4. The coordinated synchronous control system for environmental protection equipment used in production according to claim 1 is characterized in that: The process of generating a printing and dyeing control process function based on the printing and dyeing control process includes: the printing and dyeing control process function includes opening and closing control data and process control data, the opening and closing control data is the vertical axis, and the process control data is the horizontal axis; the opening and closing control data includes start control data and close control data, the start control data is 1, and the close control data is 0; the process control data is time.

5. The coordinated synchronous control system for environmental protection equipment used in production according to claim 1 is characterized in that: According to the control weights of the preliminary printing and dyeing control network mapped to the equipment control parameters, the control parameters of various environmental protection equipment are associated according to the control weights of the preliminary printing and dyeing control network; The process of initializing the control parameters of the environmental protection equipment includes: associating the corresponding environmental protection equipment according to the control weight, generating a device control node from the device control parameters and connecting the environmental protection equipment to generate the control weight, and completing the initialization of the control parameters of the environmental protection equipment; the initialization value of the control weight is 1.

6. The coordinated synchronous control system for environmental protection equipment used in production according to claim 1 is characterized in that: Establishing a printing and dyeing control parameter monitoring model to monitor the printing and dyeing control process function and monitoring each of the equipment control parameters of the control weight according to the printing and dyeing control parameter monitoring model, including: The printing and dyeing control parameter monitoring model includes an equipment control parameter input processing unit, a control parameter abnormality identification unit, a control parameter abnormality correction unit and a control parameter mode output unit; The control parameter input processing unit performs time sequence preprocessing on the input data to generate pre-input control parameters; the input data includes the printing and dyeing control process function and the equipment control parameters; the input data includes multiple pieces of data; The control parameter abnormality identification unit performs control abnormality feature identification on the pre-input control parameter; the control abnormality feature identification is an on signal and a off signal of the device control parameter, and the control parameter abnormality identification unit includes an Attention mechanism and a GRU algorithm; The control parameter abnormality checking unit obtains the corresponding pre-input control parameter according to the identified control abnormality feature, and calculates the control signal similarity in combination with the cosine similarity and the stored control signal; The control parameter mode output unit outputs the key equipment control association degree according to the result of the control signal similarity.

7. The coordinated synchronous control system for environmental protection equipment used in production according to claim 1 is characterized in that: The environmental protection equipment control parameters are updated according to the equipment control parameters, a parameter printing and dyeing control network is generated and the monitoring and processing frequency of the environmental protection equipment is controlled. The process of collaborative control according to the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment includes: ； in, for the environmental protection equipment control parameters, To control the monitoring level, is the device control parameter, The environmental protection equipment control parameters are initialized. To monitor the frequency, Describes frequency data mapping, is the parameter printing and dyeing control network, The jth key equipment control parameter analyzed by the printing and dyeing control parameter monitoring model , is the total number of key equipment control parameters of the kth process, and N is the total number of production control processes.

8. A method for coordinated synchronous control of environmental protection equipment in production, characterized in that: include: Obtain all production control processes in the printing and dyeing process, perform control cluster analysis on the production control processes according to the pollutants generated in the production control processes, and divide the production control processes into multiple control monitoring levels; Generate a basic printing and dyeing control network according to the production control process, assign a control weight to the basic printing and dyeing control network according to the control monitoring level, and obtain a preliminary printing and dyeing control network; Generate a printing and dyeing control process function according to the printing and dyeing control process, establish a printing and dyeing control parameter monitoring model, and monitor the printing and dyeing control process function; Acquire the equipment control parameters of the production control process, map the equipment control parameters to the control weights of the preliminary printing and dyeing control network, associate various environmental protection equipment control parameters according to the control weights of the preliminary printing and dyeing control network; and initialize the environmental protection equipment control parameters; Analyze each of the equipment control parameters based on the printing and dyeing control parameter monitoring model, update the environmental protection equipment control parameters based on the equipment control parameters, generate a parameter printing and dyeing control network and control the monitoring and processing frequency of the environmental protection equipment; perform collaborative control and collaborative processing based on the printing and dyeing control process function, the parameter printing and dyeing control network and the environmental protection equipment.

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