Intelligent management and control platform for coal preparation plant

Abstract

The invention provides a coal preparation plant intelligent management and control platform, which comprises a data access module, an infrastructure module, a comprehensive management and control module and a decision application module, and is characterized in that the data access module is used for online collection or offline input of target data; the infrastructure module is used for data storage, data management, calculation and analysis; the comprehensive management and control module is used for issuing an adjustment control instruction through an intelligent production control meta-model preset in the comprehensive management and control module and the target data acquired on line or recorded off line; and the decision application module is used for interacting with the outside and calling the intelligent production control meta-model constructed by the data access module and the data optimization comprehensive management and control module. Through an intelligent control means, personnel can be effectively reduced, less-person and unmanned operation of a coal preparation plant is promoted, and economic benefits of coal enterprises are comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal preparation, and in particular to an intelligent management and control platform for a coal preparation plant. Background Art

[0002] Coal is the main energy source in my country and an important pillar of the national economy. Coal preparation is the process of sorting coal to remove mineral impurities from raw coal and obtain products of different specifications to improve the utilization rate of raw coal and meet the needs of different customers.

[0003] The coal preparation process has many production process links and complex procedures, and requires the use of a large number of mechanical equipment. Various equipment must be operated according to certain process procedures and their operating status needs to be monitored. Based on existing technologies, the main production equipment of coal preparation plants can achieve single-machine or single-system automatic control; however, it still needs to rely on manual operation and monitoring of each device on site, resulting in a large number of positions, high labor intensity, and low production efficiency; and it is difficult for the equipment to achieve safe and reasonable operation, and the equipment cannot be fully utilized, making it difficult to obtain the expected production process indicators and higher economic benefits. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the above-mentioned prior art and to provide an intelligent management and control platform for a coal preparation plant, which can effectively reduce the number of personnel, reduce labor intensity and improve production efficiency through intelligent control means; to solve the problems in the prior art that there are many people in the positions, the labor intensity is high, the production efficiency is low; and it is difficult for the equipment to achieve safe and reasonable operation, the equipment cannot be fully utilized, and it is difficult to obtain the expected production process indicators and higher economic benefits.

[0005] In order to solve the above problems, the present invention provides an intelligent management and control platform for a coal preparation plant, and the technical solution is as follows:

[0006] It includes: a data access module, which is used to collect target data online or enter target data offline; an infrastructure module, which is connected to the data access module and is used for data storage, data management, calculation and analysis; a comprehensive management and control module, which is used to issue adjustment and control instructions through the intelligent production control metamodel preset in the comprehensive management and control module and the target data collected online or entered offline; a decision-making application module, which is used to interact with the outside and call the intelligent production control metamodel constructed by the data optimization comprehensive management and control module of the data access module.

[0007] Furthermore, the present application also proposes that the data access module includes: a data acquisition device, which is arranged on predetermined equipment and on site in the coal preparation plant, and is used to collect specific information that needs to be collected; a basic network device, which is used to connect predetermined equipment and data acquisition devices in the coal preparation plant, so as to realize effective entry of data of each node in the coal preparation plant.

[0008] Furthermore, the present application also proposes that the data acquisition device includes: a video acquisition device, which is arranged in a predetermined area of ​​the coal preparation plant and is used to collect video information of the predetermined area; an environmental information acquisition device, which is arranged in a predetermined area and is used to collect environmental information in the predetermined area in real time; an equipment operation detection set device, which is arranged on a predetermined device and is used to collect equipment operation status information in real time.

[0009] Furthermore, the present application also proposes that the infrastructure module includes: a data center, which is used to provide data storage, management, calculation, analysis and services; a broadcasting device, which is arranged in a predetermined area within the coal preparation plant and is used to broadcast the reporting information of the receiving channel.

[0010] Furthermore, the present application also proposes that the comprehensive management and control module includes a heavy medium separation module, which is used to receive the quality of raw coal and product index requirements, and give a qualified density target value for heavy medium separation and an upper and lower limit of coal slime content; based on real-time detection of the density of the heavy medium suspension and the coal slime content, according to the heavy medium separation control strategy, fuzzy PID decoupling control technology is used to adjust the water replenishment amount of the combined medium barrel and the opening of the diverter valve.

[0011] Furthermore, the present application also proposes that the comprehensive management and control module includes a coal slime concentration module, which obtains the detection data of the coal slime water quality at different heights through a data acquisition device, and adopts a ridge regression analysis algorithm based on the coal slime water quality detection and analysis results, combined with manual dosing experience, data change response rate curve, etc., to remove unreasonable data deviations and fluctuations, build an intelligent dosing control model, and realize automatic adjustment of the coal slime concentration dosing amount.

[0012] Furthermore, the present application also proposes that the comprehensive management and control module includes equipment health management, which is used to construct and store equipment basic ledger information, installation and use maintenance information, equipment operating time information, coal flow statistics information, equipment operation abnormality detection information and inspection and maintenance closure information; and by collecting equipment start and stop signals, automatically counting the effective operating time of the equipment, and building an equipment fault diagnosis and analysis model based on online monitoring of current, drive device and rotating part temperature, vibration, electrical protection device, equipment operating time, coal flow and other data, to realize abnormal fluctuations in detection data and graded alarm of detection value exceeding the limit and link it with video and voice.

[0013] Furthermore, the present application also proposes that the decision-making application module includes a production situation analysis, and the production situation analysis module is used to collect process parameters, dosage parameters, and equipment parameters in the production process, form statistical reports, and optimize and adjust the intelligent production control metamodel.

[0014] Furthermore, the present application also proposes that the data acquisition device includes at least two automatic lifting high-precision turbidity meters and two interface meters, which are used to obtain detection data of coal slurry water quality at different heights.

[0015] Furthermore, the present application also proposes that the comprehensive management and control module adopts a microservice architecture (SOA)

[0016] From the above, it can be seen that the intelligent management and control platform for a coal preparation plant provided in this application includes a data access module, an infrastructure module, an integrated management and control module, and a decision-making application module. Through the collaborative work of these modules, the intelligent management and control of the entire process of the coal preparation plant is realized, and the problems existing in the prior art are solved. It has the advantages of improving production efficiency, optimizing equipment operation, realizing intelligent management and control of the entire process, enhancing data analysis capabilities, and improving production management and equipment maintenance.

[0017] The invention is further described in detail below through the accompanying drawings and examples. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 This is a block diagram of the connection relationship between various modules in an embodiment of the present invention.

[0020] Description of reference numerals:

[0021] 10—data access module; 11—data acquisition device; 11-1—video acquisition device;

[0022] 11-2—Environmental information collection device; 11-3—Equipment operation detection collection device;

[0023] 12—Basic network device; 20—Infrastructure module; 21—Data center;

[0024] 22—Broadcasting device; 30—Integrated management and control module; 31—Dense medium separation module;

[0025] 32—coal slime concentration module; 34—equipment health management; 40—decision-making application module;

[0026] 41—Production situation analysis. DETAILED DESCRIPTION

[0027] 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, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. 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.

[0028] The present application provides an intelligent management and control platform for a coal preparation plant. The platform includes a data access module, an infrastructure module, an integrated management and control module, and a decision-making application module. The data access module is used to collect target data online or enter it offline; the infrastructure module is connected to the data access module and is used for data storage, data management, calculation, and analysis; the integrated management and control module issues adjustment and control instructions through a preset intelligent production control metamodel and target data collected online or entered offline; the decision-making application module is used to interact with the outside world and call the data of the data access module to optimize the intelligent production control metamodel constructed by the integrated management and control module.

[0029] The data access module of the intelligent management and control platform adopts intelligent parsing of multiple industrial protocols such as OPC and MODBUS, and collects data through interfaces such as ODBC (Open Database Connectivity), IDBC, and FTP (File Transfer Protocol), so as to realize online collection or offline entry of data from PLC control systems, automation and information systems, industrial video and voice broadcasting systems, and centralized data management. The infrastructure module of the intelligent management and control platform is responsible for providing the allocation and management of resources such as CPU, memory, disk, and network for upper-level applications. The data storage is orderly sorted through the underlying LSM data structure and RowKey, integrating the analytical database and the distributed time series database to meet the needs of PB-level massive data storage, high-performance processing, online analysis, ad hoc query, and high-concurrency access, ensuring that the data query response time is less than 0.5 milliseconds. The comprehensive management and control module of the intelligent management and control platform analyzes online and offline data, deeply mines the operating rules of historical data, combines the characteristics of production scenarios, and uses advanced technologies such as the Internet of Things, big data, artificial intelligence, and cloud native to build an intelligent production control metamodel, which has the ability to calculate, analyze, and issue decision commands for industrial data. The decision-making application module of the intelligent management and control platform is optimized and improved through the automation and intelligent control of each production link, and provides a user-friendly human-machine operation interface for PC and mobile terminals, including functional modules such as data display, remote centralized control of equipment, intelligent control, AI video perception, business statistics analysis, and business process approval. It realizes the intelligent management and control of the coal preparation plant, improves production efficiency, and reduces the need for manual operation and monitoring.

[0030] The data access module includes a data acquisition device and a basic network device. The data acquisition device is installed on the predetermined equipment and on site in the coal preparation plant to collect specific information that needs to be collected; the basic network device is used to connect the predetermined equipment and data acquisition device in the coal preparation plant to achieve effective data entry of each node in the coal preparation plant.

[0031] Through the cooperation of data acquisition devices and basic network devices, the problem of how to effectively input data of each node in the coal preparation plant is solved. The data acquisition device collects specific information in the coal preparation plant, and the basic network device effectively inputs this information into the system, thereby realizing effective management and monitoring of data of each node in the coal preparation plant.

[0032] The data acquisition device includes a video acquisition device, an environmental information acquisition device and an equipment operation detection device. The video acquisition device is set in a predetermined area of ​​the coal preparation plant to collect video information of the predetermined area; the environmental information acquisition device is set in a predetermined area to collect environmental information in the predetermined area in real time; the equipment operation detection device is set on a predetermined device to collect equipment operation status information in real time.

[0033] The data acquisition device can collect information in a variety of ways. For example, a video acquisition device can be used to obtain real-time video information in a coal preparation plant; an environmental information acquisition device can be used to obtain environmental parameters in a coal preparation plant, such as temperature and humidity; and an equipment operation detection device can be used to monitor the operating status of the equipment, such as vibration, temperature, and speed. The basic network device can include a wired network and a wireless network, which are used to transmit the data collected by the data acquisition device to a data center for storage and processing.

[0034] This application realizes the effective entry and management of data of each node in the coal preparation plant by combining the data acquisition device and the basic network device. Compared with the prior art, this application can collect and process various types of data in the coal preparation plant more efficiently, thereby improving the automation level and management efficiency of the coal preparation plant. As a result, the need for manual intervention is reduced, the labor intensity is reduced, the production efficiency is improved, and the operating status of the equipment can be better monitored to ensure the safe and stable operation of the equipment.

[0035] The infrastructure module includes a data center and a broadcasting device. The data center is used to provide data storage, management, calculation, analysis and services; the broadcasting device is set up in a predetermined area within the coal preparation plant to broadcast the reporting information of the receiving channel.

[0036] The comprehensive management and control module includes a heavy medium separation module and a coal slime concentration module. The heavy medium separation module is used to receive the quality of raw coal and product index requirements, and to set the qualified density target value of heavy medium separation and the upper and lower limits of coal slime content; according to the real-time detection of the density of the heavy medium suspension and the coal slime content, based on the heavy medium separation control strategy, the fuzzy PID decoupling control technology is used to adjust the water replenishment volume of the combined medium barrel and the opening of the diverter valve. The coal slime concentration module obtains the detection data of the water quality of coal slime water at different heights through the data acquisition device. According to the coal slime water quality detection and analysis results, combined with the experience of manual dosing, the data change response rate curve, etc., the ridge regression analysis algorithm is used to remove unreasonable data deviations and fluctuations, build an intelligent dosing control model, and realize automatic adjustment of the dosing amount of coal slime concentration.

[0037] The decision-making application module includes a production situation analysis module, which is used to collect process parameters, dosage parameters, and equipment parameters in the production process, form statistical reports, and optimize and adjust the intelligent production control meta-model.

[0038] Through the above technical solutions, the intelligent management and control platform improves the production efficiency of the coal preparation plant, reduces the need for manual operation and monitoring, ensures the safe and rational operation of the equipment, gives full play to the effectiveness of the equipment, and achieves the expected production process indicators and higher economic benefits.

[0039] Furthermore, the present application also proposes that the data acquisition device includes a video acquisition device, which is arranged in a predetermined area of ​​the coal preparation plant and is used to collect video information of the predetermined area; an environmental information acquisition device, which is arranged in a predetermined area and is used to collect environmental information in the predetermined area in real time; and an equipment operation detection set device, which is arranged on a predetermined device and is used to collect equipment operation status information in real time.

[0040] The data acquisition device includes a video acquisition device, an environmental information acquisition device, and an equipment operation detection device. The video acquisition device is used to collect video information in a predetermined area of ​​the coal preparation plant, the environmental information acquisition device is used to collect environmental information in the predetermined area in real time, and the equipment operation detection device is used to collect the operation status information of the predetermined equipment in real time. These devices cooperate with each other to achieve comprehensive real-time monitoring of the operation status of each predetermined area and equipment in the coal preparation plant, thereby solving the problem of real-time collection of video information, environmental information, and equipment operation status information of the predetermined area in the coal preparation plant.

[0041] The video acquisition device can use a high-resolution camera and combine it with a night vision function to ensure that video information can be clearly collected under various lighting conditions. The environmental information acquisition device can include a variety of sensors, such as temperature sensors, humidity sensors, gas sensors, etc., to comprehensively monitor environmental parameters in a predetermined area. The equipment operation detection device can collect real-time equipment operation status information, such as vibration, temperature, speed, etc., through sensors installed in key parts of the equipment. Furthermore, these data can be transmitted to the central control system via a wireless network or a wired network for unified processing and analysis.

[0042] This application realizes comprehensive real-time monitoring of the predetermined area and equipment operation status in the coal preparation plant through the coordinated work of the video acquisition device, the environmental information acquisition device and the equipment operation detection device. Compared with the existing technology, the technical solution of this application can effectively reduce the workload of manual monitoring, improve production efficiency, ensure the safe operation and reasonable use of equipment, and thus improve the overall production process indicators and economic benefits.

[0043] Furthermore, the present application also proposes that the infrastructure module includes a data center, which is used to provide data storage, management, calculation, analysis and services; a broadcasting device, which is set in a predetermined area within the coal preparation plant and is used to broadcast the reporting information of the receiving channel.

[0044] The infrastructure module includes a data center and a broadcasting device. The data center is responsible for data storage, management, calculation, analysis and service to ensure efficient and accurate data processing. The broadcasting device is used to broadcast the received reporting information in a predetermined area within the coal preparation plant to ensure timely communication and processing of the information. Through the combination of these technical features, the technical problems of data processing and information communication in the coal preparation plant are solved.

[0045] The data center can achieve efficient storage and management of data through a distributed storage system, and use a big data analysis platform to calculate and analyze data, thereby improving the speed and accuracy of data processing. The broadcast device can be connected to the data center through wireless communication technology, receive and broadcast important information in real time, and ensure the timeliness and accuracy of information transmission. As a preferred embodiment, the broadcast device can include two forms: sound broadcast and text display to adapt to different usage scenarios and needs; the broadcast can include alarms and alarm information.

[0046] Furthermore, the present application also proposes that the comprehensive management and control module includes a heavy medium sorting module, which is used to receive the quality of raw coal and product index requirements, and give a qualified density target value for heavy medium sorting and an upper and lower limit of coal slime content; based on real-time detection of the density of the heavy medium suspension and the coal slime content, according to the heavy medium sorting control strategy, the fuzzy PID decoupling control technology is used to adjust the water replenishment amount of the combined medium barrel and the opening of the diverter valve.

[0047] The heavy medium separation module receives the raw coal quality and product index requirements, and sets the qualified density target value and the upper and lower limits of the coal slime content for heavy medium separation. The density of the heavy medium suspension and the coal slime content are detected in real time, and the fuzzy PID decoupling control technology is used to adjust the water replenishment amount of the combined medium barrel and the opening of the diverter valve according to the heavy medium separation control strategy. Through these technical features, the heavy medium separation module can effectively adjust the heavy medium separation parameters in the coal preparation process to ensure that the coal quality and product indicators meet the requirements.

[0048] The heavy medium separation module in this application adopts fuzzy PID decoupling control technology, which is an improvement on traditional PID control. Fuzzy PID control combines the advantages of fuzzy control and PID control, and can better handle nonlinearity and uncertainty in the system, and improve control accuracy and response speed. Decoupling control technology is used to solve coupling problems in multivariable systems, making the control of each variable more independent and efficient. By adjusting the water replenishment amount of the combined medium barrel and the opening of the diverter valve, the density and slime content of the heavy medium suspension can be more accurately controlled, thereby achieving optimized control of the heavy medium separation process.

[0049] Specifically, the heavy medium separation module can be realized in the following ways:

[0050] 1. The density and slime content of the heavy medium suspension are monitored in real time through online sensors, and these data are transmitted to the control system.

[0051] 2. The control system calculates the appropriate water replenishment amount and diverter valve opening according to the preset heavy medium separation control strategy and the fuzzy PID decoupling control algorithm.

[0052] 3. The control system issues control instructions to adjust the water replenishment amount of the combined medium barrel and the opening of the diverter valve to ensure that the density of the heavy medium suspension and the coal slime content are within the target range.

[0053] 4. Through the feedback mechanism, the control parameters are continuously monitored and adjusted to respond to changes in raw coal quality and production environment, forming a closed control of the entire process.

[0054] Through the above technical solution, the heavy medium separation module in this application can effectively solve the problem of regulating and controlling the coal quality and product index requirements during the heavy medium separation process in the coal preparation plant. Compared with the prior art, the heavy medium separation module in this application has the following advantages:

[0055] 1. It realizes precise control of the heavy medium separation process and improves the stability and consistency of coal quality and product indicators.

[0056] 2. The use of fuzzy PID decoupling control technology can better handle the nonlinearity and uncertainty in the system and improve the control effect.

[0057] 3. High degree of automation reduces the need for human intervention and improves production efficiency and safety.

[0058] 4. Through real-time monitoring and adjustment, it can respond to changes in the production process in a timely manner to ensure the continuity and stability of the production process.

[0059] Furthermore, the present application also proposes that the comprehensive management and control module includes a coal slime concentration module, which obtains the detection data of the coal slime water quality at different heights through a data acquisition device, and adopts a ridge regression analysis algorithm based on the coal slime water quality detection and analysis results, combined with manual dosing experience, data change response rate curve, etc., to remove unreasonable data deviations and fluctuations, build an intelligent dosing control model, and realize automatic adjustment of the dosing amount for coal slime concentration.

[0060] The above technical means have solved the technical problem of automatic adjustment of the dosage during the slime concentration process. Specifically, the data acquisition device is used to obtain the detection data of the slime water quality at different heights, combined with the manual dosing experience and the data change response rate curve, and the ridge regression analysis algorithm is used to remove unreasonable data deviations and fluctuations, so as to build an intelligent dosing control model and realize the automatic adjustment of the dosage of slime concentration. This solution improves the accuracy and efficiency of the dosing process, reduces manual intervention, and improves the effect of slime concentration.

[0061] After understanding that the comprehensive management and control module includes a coal slime concentration module, the detection data of coal slime water quality at different heights is obtained through a data acquisition device. According to the coal slime water quality detection and analysis results, combined with manual dosing experience, data change response rate curve, etc., a ridge regression analysis algorithm is used to remove unreasonable data deviations and fluctuations, build an intelligent dosing control model, and realize automatic adjustment of coal slime concentration dosing. The meaning and concept of its newly added technical features or steps are explained. Specifically, the data acquisition device may include an automatically rising and falling high-precision turbidity meter and an interface meter to obtain detection data of coal slime water quality at different heights. The ridge regression analysis algorithm is used to process the collected data, remove unreasonable data deviations and fluctuations, and ensure the accuracy and reliability of the data. The intelligent dosing control model automatically adjusts the coal slime concentration dosing amount based on the processed data, combined with manual dosing experience and data change response rate curve, to ensure the accuracy and appropriateness of the dosing amount.

[0062] As a preferred implementation, the data acquisition device can use a high-precision automatic lifting turbidity meter and interface meter to obtain coal slime water quality data at different heights through the automatic lifting function to ensure the comprehensiveness and accuracy of the data. The ridge regression analysis algorithm can remove abnormal data and fluctuations through the analysis of historical data and real-time data to ensure the stability and reliability of the data. The intelligent dosing control model can automatically adjust the dosage through comprehensive analysis of the data combined with manual dosing experience to ensure the stability and efficiency of the coal slime concentration process.

[0063] Therefore, this application uses the coal slime concentration module in the comprehensive management and control module, adopts the data acquisition device and the ridge regression analysis algorithm, builds an intelligent dosing control model, and realizes the automatic adjustment of the dosing amount of coal slime concentration. Compared with the prior art, the solution of this application improves the accuracy and efficiency of the dosing process, reduces manual intervention, improves the effect of coal slime concentration, and solves the technical problem of automatic adjustment of the dosing amount during coal slime concentration.

[0064] Furthermore, the present application also proposes that the comprehensive management and control module includes equipment health management, which is used to construct and store equipment basic ledger information, installation and use maintenance information, equipment operating time information, coal flow statistics information, equipment operation abnormality detection information and inspection and maintenance closure information; and by collecting equipment start and stop signals, automatically counting the effective operating time of the equipment, and building an equipment fault diagnosis and analysis model based on online monitoring of current, drive device and rotating part temperature, vibration, electrical protection device, equipment operating time, coal flow and other data, to realize abnormal fluctuations in detection data and graded alarm of detection value exceeding the limit and link it with video and voice.

[0065] Equipment health management is used to build and store basic equipment information, installation and maintenance information, equipment operation time information, coal flow statistics information, equipment operation abnormality detection information, and spot inspection and maintenance closure information; by collecting equipment start and stop signals, the effective operation time of the equipment is automatically counted. Through online monitoring of current, drive device and rotating part temperature, vibration, electrical protection device, equipment operation time, coal flow and other data, a fault diagnosis and analysis model is built to realize abnormal fluctuations in detection data and graded alarms for detection value exceeding the limit, and to link with video and voice.

[0066] The device health management module can be implemented in the following ways:

[0067] 1. The construction and storage of basic equipment ledger information can be achieved through a database system to record the basic information, specification parameters, factory date, etc. of the equipment.

[0068] 2. Installation and maintenance information includes equipment installation records, maintenance records, etc., which can be recorded and managed through the maintenance management system.

[0069] 3. Equipment operation time information and coal passing statistics can be obtained through online monitoring systems and data acquisition equipment to record the equipment's operating status and coal passing in real time.

[0070] 4. Equipment operation abnormality detection information and inspection and maintenance closure information can be monitored and recorded through the fault detection system and inspection management system.

[0071] 5. By collecting the start and stop signals of the equipment, the effective operating time of the equipment can be automatically counted, which can be achieved using sensors and signal acquisition devices.

[0072] 6. Online monitoring of current, drive device and rotating part temperature, vibration, electrical protection device and other data can be achieved by installing corresponding sensors and monitoring equipment.

[0073] 7. Build an equipment fault diagnosis and analysis model, and use machine learning algorithms and big data analysis technology to analyze and model the collected data.

[0074] 8. Realize graded alarms for abnormal fluctuations in detection data and over-limit detection values, and link them with video and voice, which can be achieved through the alarm system and video surveillance system.

[0075] Through the implementation of the equipment health management module, this application can effectively monitor and manage the equipment operating status of the coal preparation plant, promptly discover and handle abnormal conditions in the equipment operation, and improve the operating efficiency and safety of the equipment. Compared with the prior art, this application can realize the intelligent management of equipment, reduce the workload of manual operation and monitoring, and improve production efficiency and economic benefits. The implementation of the equipment health management module enables the equipment of the coal preparation plant to operate more safely and stably, give full play to the effectiveness of the equipment, and achieve the expected production process indicators and higher economic benefits.

[0076] Furthermore, the present application also proposes that the decision-making application module includes a production situation analysis module, which is used to collect process parameters, dosage parameters, and equipment parameters in the production process, form statistical reports, and optimize and adjust the intelligent production control metamodel.

[0077] The function of the production situation analysis module is to collect process parameters, dosage parameters, and equipment parameters in the production process, and to form statistical reports through the collection of these data. The formation of statistical reports helps to analyze and optimize various parameters in the production process, thereby optimizing and adjusting the intelligent production control metamodel. In this way, it can effectively solve the problem of how to collect and count process parameters, dosage parameters, and equipment parameters in the production process, and further optimize the intelligent production control metamodel to improve production efficiency and economic benefits.

[0078] Specifically, the production situation analysis module can include multiple submodules, such as a data acquisition submodule, a data processing submodule, and a report generation submodule. The data acquisition submodule is used to collect relevant parameters from various equipment and process flows at the production site in real time. The data processing submodule is used to clean, organize and analyze the collected data in order to extract useful information. The report generation submodule generates various statistical reports based on the processed data. These reports can intuitively reflect the various parameters and their changing trends in the production process. Furthermore, these statistical reports can also be used to optimize and adjust the intelligent production control metamodel, and make the production process more efficient and stable by adjusting the model parameters.

[0079] Therefore, compared with the prior art, the production situation analysis module of the present application realizes comprehensive monitoring and optimization adjustment of the production process through systematic data collection and analysis. This not only improves production efficiency and reduces the frequency of manual intervention, but also can timely discover and solve problems in the production process, ensuring the stability of the production process and maximizing economic benefits.

[0080] The decision application module collects various parameter data in the production process through the production situation analysis module, including process parameters, dosage parameters and equipment parameters. The production situation analysis module organizes these data into statistical reports and optimizes and adjusts the intelligent production control metamodel based on these reports. This technical solution provides a means to optimize the intelligent production control metamodel through detailed collection and statistical analysis of various parameters in the production process, thereby solving the problem of how to optimize and adjust the intelligent production control metamodel.

[0081] The implementation of the production situation analysis module can include multiple aspects. For example, the production situation analysis module can use sensors and data acquisition equipment to collect various parameter data in the production process in real time, analyze and summarize these data through data processing software, and generate detailed statistical reports. Furthermore, these statistical reports can be displayed to users through data visualization tools so that users can intuitively understand the production situation. In addition, the production situation analysis module can also use machine learning algorithms based on the data of the statistical report to optimize and adjust the intelligent production control metamodel, thereby improving production efficiency and product quality.

[0082] This application achieves the optimization and adjustment of the intelligent production control metamodel by collecting and analyzing various parameter data in the production process in detail. Compared with the prior art, this application provides a more intelligent and automated production control solution, which can effectively improve production efficiency, reduce manual intervention, and reduce production costs. Therefore, this application has significant technical advantages in optimizing the intelligent production control metamodel.

[0083] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent management and control platform for a coal preparation plant, characterized in that: include: A data access module (10), the data access module (10) is used to collect target data online or input target data offline; An infrastructure module (20), the infrastructure module (20) being connected to the data access module (10), and the infrastructure module (20) being used for data storage, data management, calculation, and analysis; An integrated control module (30), the integrated control module (30) being used to issue adjustment control instructions through an intelligent production control meta-model preset in the integrated control module (30) and the target data collected online or entered offline; A decision application module (40), wherein the decision application module (40) is used to interact with the outside and call the intelligent production control meta-model constructed by the data access module (10) and the data optimization and comprehensive management and control module (30).

2. The intelligent management and control platform of a coal preparation plant according to claim 1, characterized in that: The data access module (10) comprises: A data collection device (11), the data collection device (11) is arranged on a predetermined device and on site in the coal preparation plant, and is used to collect specific information that needs to be collected; A basic network device (12) is used to connect predetermined equipment and a data collection device (11) in a coal preparation plant to achieve effective entry of data at each node in the coal preparation plant.

3. The intelligent management and control platform of a coal preparation plant according to claim 1, characterized in that: The data acquisition device (11) comprises: A video acquisition device (11-1), wherein the video acquisition device (11-1) is arranged in a predetermined area of ​​the coal preparation plant and is used to acquire video information of the predetermined area; An environmental information collection device (11-2), the environmental information collection device (11-2) being arranged in a predetermined area and used for collecting environmental information in the predetermined area in real time; The equipment operation detection collection device (11-3) is arranged on a predetermined device and is used for collecting equipment operation status information in real time.

4. The intelligent management and control platform of a coal preparation plant according to claim 1, characterized in that: The infrastructure module (20) comprises: A data center (21), wherein the data center (21) is used to provide data storage, management, calculation, analysis and services; A broadcasting device (22), wherein the broadcasting device (22) is arranged in a predetermined area in the coal preparation plant and is used for broadcasting the reporting information of the receiving channel.

5. The intelligent management and control platform of a coal preparation plant according to claim 1, characterized in that: The comprehensive control module (30) comprises a heavy medium separation module (31), which is used to receive the quality of raw coal and product index requirements, and to set a qualified density target value for heavy medium separation and upper and lower limits of coal slime content; based on real-time detection of the density of heavy medium suspension and coal slime content, according to the heavy medium separation control strategy, the fuzzy PID decoupling control technology is used to adjust the water replenishment amount of the combined medium barrel and the opening of the diverter valve.

6. The intelligent management and control platform of a coal preparation plant according to claim 1, characterized in that: The comprehensive management and control module (30) comprises a coal slime concentration module (32). The coal slime concentration module (32) obtains detection data of coal slime water quality at different heights through a data acquisition device (11). According to the coal slime water quality detection and analysis results, combined with manual dosing experience, data change response rate curve, etc., a ridge regression analysis algorithm is used to remove unreasonable data deviations and fluctuations, build an intelligent dosing control model, and realize automatic adjustment of coal slime concentration dosing amount.

7. The intelligent management and control platform of a coal preparation plant according to claim 6, characterized in that: The comprehensive management and control module (30) includes an equipment health management (34), and the equipment health management (34) is used to construct and store equipment basic ledger information, installation and use maintenance information, equipment operation time information, coal flow statistics information, equipment operation abnormality detection information, and spot inspection and maintenance closure information; By collecting equipment start and stop signals, the effective operating time of the equipment is automatically counted. Based on online monitoring data such as current, drive device and rotating part temperature, vibration, electrical protection devices, equipment operating time, and coal flow rate, an equipment fault diagnosis and analysis model is built to detect abnormal fluctuations in detection data and graded alarms for exceeding the limit of detection values, and to link them with video and voice.

8. The intelligent management and control platform for a coal preparation plant according to claim 1, characterized in that: The decision application module (40) includes a production situation analysis module (41), and the production situation analysis module (41) is used to collect process parameters, dosage parameters, and equipment parameters in the production process, form statistical reports, and optimize and adjust the intelligent production control meta-model.

9. The intelligent management and control platform of a coal preparation plant according to claim 6, characterized in that: The data acquisition device (11) comprises at least two automatically lifting high-precision turbidity meters and two interface meters, which are used to obtain detection data of coal slurry water quality at different heights.

10. The intelligent management and control platform of a coal preparation plant according to claim 7, characterized in that: The comprehensive management and control module (30) adopts a microservice architecture (SOA).

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