Intelligent full-automatic coking production management system

Abstract

The invention discloses an intelligent full-automatic coking production management system. The system comprises a coking production data acquisition module, a data analysis module, a coking control execution module, a coking monitoring management module and a human-computer interaction interface, the coking production data acquisition module comprises a sensor network and a remote communication unit; the data analysis module comprises a data preprocessing unit and a data analysis algorithm unit; the coking control execution module comprises automatic control equipment and an execution mechanism; the coking monitoring management module comprises a coking production scheduling unit, a coking equipment monitoring unit, an energy consumption management unit and an environmental protection monitoring unit; by adopting the intelligent full-automatic coking production control management system, automatic control and intelligent management of the whole coal coking production process can be realized, the production efficiency is improved, the energy consumption is reduced, the environmental pollution is reduced, and the intelligent full-automatic coking production control management system has important practical application value and social benefit.

Description

Technical Field

[0001] The present invention relates to the technical field of coal coking production, and more particularly to an intelligent full-automatic coking production management system. Background Art

[0002] Coal coking is also known as high-temperature coal distillation. Coal is used as raw material, heated to about 950°C under air-tight conditions, and then distilled to produce coke through high-temperature distillation. At the same time, coal gas, coal tar, and other chemical products are obtained. In order to ensure the quality of coke, the most basic requirements for selecting coking coal are volatility, cohesiveness, and coking properties; most coking coal must be washed to ensure the lowest possible ash, sulfur, and phosphorus content. When selecting coking coal, attention must also be paid to the expansion pressure of the coal during the coking process. When using low-volatile coal for coking, due to its high colloid viscosity, it is easy to produce high expansion pressure, which will damage the coke oven masonry, and needs to be solved by coking with coal blending.

[0003] The traditional coal coking production process has problems such as low production efficiency, high energy consumption, and serious environmental pollution. With the development of science and technology, coal coking production is gradually moving towards automation and intelligence. However, most of the existing coking production control and management systems are single-function, making it difficult to achieve full-process automation control and intelligent management.

[0004] Therefore, how to provide an intelligent fully automatic coking production management system is a problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] In view of this, the present invention provides an intelligent fully automatic coking production management system to solve the problems of low production efficiency, high energy consumption and serious environmental pollution mentioned in the above background technology part.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] An intelligent fully automatic coking production management system, the system comprises: a coking production data acquisition module, a data analysis module, a coking control execution module, a coking monitoring management module and a human-computer interaction interface;

[0008] The coking production data acquisition module includes a sensor network and a remote communication unit. The sensor network is deployed on the coal coking production line to collect the operating parameter information of the coal coking production line in real time. The remote communication unit transmits the collected operating parameter information of the coal coking production line to the data analysis module.

[0009] The data analysis module includes a data preprocessing unit and a data analysis algorithm unit. The data preprocessing unit receives the coal coking production line operation parameter information from the coking production data acquisition module and performs cleaning, denoising and calibration preprocessing operations. The data analysis algorithm unit analyzes and processes the preprocessed data based on machine learning or deep learning algorithms, identifies abnormal conditions in the production process, and predicts the future operation trend of the coal coking production line, and formulates a coking production control strategy based on this.

[0010] The coking control execution module includes an automatic control device and an execution mechanism. The automatic control device receives the coking production control strategy formulated by the data analysis module, reads the coking control instructions in the coking production control strategy, and performs automatic optimization control and adjustment on the coking production equipment on the coal coking production line through the execution mechanism.

[0011] The coking monitoring and management module includes a coking production scheduling unit, a coking equipment monitoring unit, an energy consumption management unit and an environmental monitoring unit. The production scheduling unit performs coking production scheduling according to the coking production tasks and coking production plans. The coking equipment monitoring unit monitors the operating status of the coking production equipment in real time. The energy consumption management unit counts, analyzes and optimizes the energy consumption in the coal coking production process. The environmental monitoring unit monitors and controls the emissions in the coking production process in real time.

[0012] The human-computer interaction interface is used to display real-time data, alarm information and operation guides in the coal coking production process, making it convenient for operators to monitor and manage the entire coking production process in real time.

[0013] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the sensor network in the coking production data acquisition module adopts a wireless sensor network, each sensor node includes a temperature sensor, a pressure sensor, a flow sensor and a gas composition analyzer, and transmits data with a remote communication unit through a low-power wireless communication protocol such as Zigbee or LoRa.

[0014] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the data preprocessing unit in the data analysis module also includes a data compression algorithm, using LZW or Huffman encoding to reduce the amount of data transmission; at the same time, the data is encrypted using AES or RSA encryption algorithm during transmission to ensure the security of data transmission.

[0015] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the coking control execution module also includes a feedback mechanism, which adjusts the execution result in real time through a PID controller or a fuzzy controller algorithm to ensure the accurate execution of the coking control instructions, and feeds back the execution result to the data analysis module, so that the data analysis module adjusts the coking production control strategy according to the execution effect.

[0016] Preferably, in the above-mentioned intelligent fully automatic coking production management system, an alarm unit is also provided in the coking monitoring management module, and the alarm unit includes sound alarm, light alarm and SMS alarm alarm modes, and automatically triggers the corresponding alarm mode when an abnormal state is detected or exceeds a preset threshold, so as to remind the operator to take timely measures.

[0017] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the human-computer interaction interface also includes a remote control function, allowing the operator to control and adjust the coal coking production line through a web browser or mobile APP at a remote location, and providing a real-time video monitoring function so that the operator can intuitively understand the situation at the production site.

[0018] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the coking production data acquisition module, the data analysis module, the coking control execution module and the coking monitoring management module perform data transmission and command issuance through a high-speed communication network, so as to enable real-time communication and collaborative work between the modules; the high-speed communication network includes Ethernet, industrial Ethernet or wireless networks such as Wi-Fi and 4G / 5G.

[0019] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the coking control execution module adopts optimization algorithms such as genetic algorithm, particle swarm algorithm or neural network to optimize and analyze the coal coking production process, and proposes coking production control strategies including production parameter adjustment, equipment scheduling optimization, etc.

[0020] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the coking monitoring and management module also includes a fault diagnosis module, which adopts a data-driven fault diagnosis method to perform real-time monitoring and diagnosis of equipment faults in the coal coking production process, and provide fault alarms and fault handling suggestions including fault type, fault location, fault severity, etc.

[0021] Preferably, in the above-mentioned intelligent fully automatic coking production management system, the coking monitoring and management module also includes a remote maintenance unit, which includes remote monitoring, remote debugging and remote upgrading functions, allowing maintenance personnel to remotely monitor, debug and upgrade the equipment in the coal coking production process at a remote location, thereby improving equipment maintenance efficiency and management level.

[0022] It can be seen from the above technical solutions that compared with the prior art, the present invention discloses an intelligent fully automatic coking production management system, which collects key parameters in the production process in real time through the coking production data acquisition module, and the data analysis module quickly processes and analyzes the data based on machine learning or deep learning algorithms, which can timely discover abnormal conditions in the production process, predict future trends, and formulate optimization control strategies accordingly. This greatly shortens the time for production adjustment, improves the response speed and flexibility of the production line, and thus significantly improves production efficiency.

[0023] The energy consumption management unit conducts real-time statistics and analysis on the energy consumption in the coal coking production process, can accurately identify the links and time periods with high energy consumption, and propose targeted energy-saving measures.

[0024] The data analysis module is used to deeply mine and analyze data in the production process, and the production parameters and control strategies are adjusted accordingly, thereby significantly improving product quality and stability.

[0025] Enhance equipment reliability and safety: The coking equipment monitoring unit monitors the operating status of the on-site equipment in real time, can promptly detect equipment failures and abnormal conditions, and provide accurate fault alarms through the fault diagnosis module. This greatly reduces the equipment failure rate, extends the equipment service life, and improves the safety and reliability of the production line.

[0026] Achieve environmental compliance: The environmental monitoring unit monitors and controls emissions during the production process in real time, ensuring the environmental compliance of the production process and achieving green production.

[0027] Improve management level and decision-making efficiency: The monitoring management module provides comprehensive production data and information, including production progress, equipment status, energy consumption, product quality, etc., providing managers with a scientific basis for decision-making. At the same time, the human-computer interaction interface provides a friendly operation interface and remote control function, allowing managers to grasp the production situation anytime and anywhere, improving management level and decision-making efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0029] Figure 1 The accompanying drawing is a schematic diagram of the structural framework of an intelligent fully automatic coking production management system provided by the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] The embodiment of the present invention discloses an intelligent fully automatic coking production management system, which includes: a coking production data acquisition module, a data analysis module, a coking control execution module, a coking monitoring management module and a human-computer interaction interface;

[0032] The coking production data acquisition module includes a sensor network and a remote communication unit. The sensor network is deployed on the coal coking production line to collect the operating parameter information of the coal coking production line in real time. The remote communication unit transmits the collected operating parameter information of the coal coking production line to the data analysis module.

[0033] The data analysis module includes a data preprocessing unit and a data analysis algorithm unit. The data preprocessing unit receives the coal coking production line operation parameter information from the coking production data acquisition module and performs cleaning, denoising and calibration preprocessing operations. The data analysis algorithm unit analyzes and processes the preprocessed data based on machine learning or deep learning algorithms, identifies abnormal conditions in the production process, and predicts the future operation trend of the coal coking production line, and formulates a coking production control strategy based on this.

[0034] The coking control execution module includes an automatic control device and an execution mechanism. The automatic control device receives the coking production control strategy formulated by the data analysis module, reads the coking control instructions in the coking production control strategy, and performs automatic optimization control and adjustment on the coking production equipment on the coal coking production line through the execution mechanism.

[0035] The coking monitoring and management module includes a coking production scheduling unit, a coking equipment monitoring unit, an energy consumption management unit and an environmental monitoring unit. The production scheduling unit performs coking production scheduling according to the coking production tasks and coking production plans. The coking equipment monitoring unit monitors the operating status of the coking production equipment in real time. The energy consumption management unit counts, analyzes and optimizes the energy consumption in the coal coking production process. The environmental monitoring unit monitors and controls the emissions in the coking production process in real time.

[0036] The human-computer interaction interface is used to display real-time data, alarm information and operation guides in the coal coking production process, making it convenient for operators to monitor and manage the entire coking production process in real time.

[0037] In order to further optimize the above technical solution, the sensor network in the coking production data acquisition module adopts a wireless sensor network. Each sensor node includes a temperature sensor, a pressure sensor, a flow sensor and a gas composition analyzer, and transmits data with a remote communication unit through a low-power wireless communication protocol such as Zigbee or LoRa.

[0038] In order to further optimize the above technical solution, the data preprocessing unit in the data analysis module also includes a data compression algorithm, using LZW or Huffman encoding to reduce the amount of data transmission; at the same time, the data is encrypted using AES or RSA encryption algorithm during transmission to ensure the security of data transmission.

[0039] In order to further optimize the above technical solution, the coking control execution module also includes a feedback mechanism, which adjusts the execution results in real time through a PID controller or a fuzzy controller algorithm to ensure the accurate execution of the coking control instructions, and feeds back the execution results to the data analysis module, so that the data analysis module adjusts the coking production control strategy according to the execution effect.

[0040] In order to further optimize the above technical solution, an alarm unit is also provided in the coking monitoring and management module. The alarm unit includes sound alarm, light alarm and SMS alarm modes, and automatically triggers the corresponding alarm mode when an abnormal state is detected or exceeds a preset threshold, so as to remind the operator to take timely measures.

[0041] In order to further optimize the above technical solution, the human-computer interaction interface also includes a remote control function, allowing operators to control and adjust the coal coking production line through a web browser or mobile APP at a remote location, while providing real-time video monitoring function so that operators can intuitively understand the situation at the production site.

[0042] In order to further optimize the above technical solution, the coking production data acquisition module, data analysis module, coking control execution module and coking monitoring management module transmit data and issue instructions through a high-speed communication network, so as to enable real-time communication and collaborative work among the modules; the high-speed communication network includes Ethernet, industrial Ethernet or wireless networks such as Wi-Fi and 4G / 5G.

[0043] In order to further optimize the above technical solution, the coking control execution module adopts optimization algorithms such as genetic algorithm, particle swarm algorithm or neural network to optimize the coal coking production process and propose coking production control strategies including production parameter adjustment and equipment scheduling optimization.

[0044] In order to further optimize the above technical solution, the coking monitoring and management module also includes a fault diagnosis module. The fault diagnosis module adopts a data-driven fault diagnosis method to monitor and diagnose equipment faults in the coal coking production process in real time, and provide fault alarms and fault handling suggestions including fault type, fault location, fault severity, etc.

[0045] In order to further optimize the above technical solution, the coking monitoring and management module also includes a remote maintenance unit, which includes remote monitoring, remote debugging and remote upgrading functions, allowing maintenance personnel to remotely monitor, debug and upgrade equipment in the coal coking production process at a remote location, thereby improving equipment maintenance efficiency and management level.

[0046] The intelligent fully automatic coking production control and management system of the present invention can realize automatic control and intelligent management of the whole process of coal coking production, improve production efficiency, reduce energy consumption, and reduce environmental pollution, which has important practical application value and social benefits.

[0047] Technical principle:

[0048] The present invention collects key parameters in the production process in real time through the coking production data acquisition module, and the data analysis module quickly processes and analyzes the data based on machine learning or deep learning algorithms, which can timely discover abnormal conditions in the production process, predict future trends, and formulate optimization control strategies accordingly. This greatly shortens the time for production adjustment, improves the response speed and flexibility of the production line, and thus significantly improves production efficiency.

[0049] The energy consumption management unit can conduct real-time statistics and analysis on the energy consumption in the coal coking production process, accurately identify the links and time periods with high energy consumption, and propose targeted energy-saving measures. The data analysis module can be used to deeply mine and analyze the data in the production process, and the production parameters and control strategies can be adjusted accordingly, thus significantly improving product quality and stability.

[0050] The present invention enhances equipment reliability and safety: the coking equipment monitoring unit monitors the operating status of the on-site equipment in real time, can promptly detect equipment failures and abnormal conditions, and provide accurate fault alarms through the fault diagnosis module. This greatly reduces the equipment failure rate, extends the service life of the equipment, and improves the safety and reliability of the production line.

[0051] At the same time, environmental compliance is achieved: the environmental monitoring unit monitors and controls emissions during the production process in real time, which can ensure the environmental compliance of the production process and achieve green production.

[0052] The present invention improves management level and decision-making efficiency: the monitoring management module provides comprehensive production data and information, including production progress, equipment status, energy consumption, product quality, etc., providing managers with a scientific basis for decision-making. At the same time, the human-computer interaction interface provides a friendly operation interface and remote control function, allowing managers to grasp the production situation anytime and anywhere, improving management level and decision-making efficiency.

[0053] The intelligent and fully automatic coking production control and management system of the present invention integrates advanced sensor technology, data analysis technology, automatic control technology and remote communication technology, realizing the intelligent and automatic production process. This helps to promote the upgrading and intelligent development of the coking industry and improve the competitiveness and sustainable development capabilities of the entire industry.

[0054] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0055] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent fully automatic coking production management system, characterized in that: The system includes: coking production data acquisition module, data analysis module, coking control execution module, coking monitoring management module and human-computer interaction interface; The coking production data acquisition module includes a sensor network and a remote communication unit. The sensor network is deployed on the coal coking production line to collect the operating parameter information of the coal coking production line in real time. The remote communication unit transmits the collected operating parameter information of the coal coking production line to the data analysis module. The data analysis module includes a data preprocessing unit and a data analysis algorithm unit. The data preprocessing unit receives the coal coking production line operation parameter information from the coking production data acquisition module and performs cleaning, denoising and calibration preprocessing operations. The data analysis algorithm unit analyzes and processes the preprocessed data based on machine learning or deep learning algorithms, identifies abnormal conditions in the production process, and predicts the future operation trend of the coal coking production line, and formulates a coking production control strategy based on this. The coking control execution module includes an automatic control device and an execution mechanism. The automatic control device receives the coking production control strategy formulated by the data analysis module, reads the coking control instructions in the coking production control strategy, and performs automatic optimization control and adjustment on the coking production equipment on the coal coking production line through the execution mechanism. The coking monitoring and management module includes a coking production scheduling unit, a coking equipment monitoring unit, an energy consumption management unit and an environmental monitoring unit. The production scheduling unit performs coking production scheduling according to the coking production tasks and coking production plans. The coking equipment monitoring unit monitors the operating status of the coking production equipment in real time. The energy consumption management unit counts, analyzes and optimizes the energy consumption in the coal coking production process. The environmental monitoring unit monitors and controls the emissions in the coking production process in real time. The human-computer interaction interface is used to display real-time data, alarm information and operation guides in the coal coking production process, making it convenient for operators to monitor and manage the entire coking production process in real time.

2. An intelligent fully automatic coking production management system according to claim 1, characterized in that: The sensor network in the coking production data acquisition module adopts a wireless sensor network, each sensor node includes a temperature sensor, a pressure sensor, a flow sensor and a gas composition analyzer, and transmits data with a remote communication unit through a low-power wireless communication protocol such as Zigbee or LoRa.

3. The intelligent fully automatic coking production management system according to claim 1 is characterized in that: The data preprocessing unit in the data analysis module also includes a data compression algorithm, which uses LZW or Huffman coding to reduce the amount of data transmission; at the same time, the data is encrypted using AES or RSA encryption algorithm during transmission to ensure the security of data transmission.

4. The intelligent fully automatic coking production management system according to claim 1 is characterized in that: The coking control execution module also includes a feedback mechanism, which adjusts the execution results in real time through a PID controller or a fuzzy controller algorithm to ensure the accurate execution of the coking control instructions, and feeds back the execution results to the data analysis module so that the data analysis module adjusts the coking production control strategy according to the execution effect.

5. The intelligent fully automatic coking production management system according to claim 1 is characterized in that: The coking monitoring and management module is also provided with an alarm unit, which includes sound alarm, light alarm and SMS alarm, and automatically triggers the corresponding alarm mode when an abnormal state is detected or exceeds a preset threshold, so as to remind the operator to take timely measures.

6. The intelligent fully automatic coking production management system according to claim 1 is characterized in that: The human-computer interaction interface also includes a remote control function, allowing operators to control and adjust the coal coking production line through a web browser or mobile APP at a remote location, while providing a real-time video monitoring function so that operators can intuitively understand the situation on the production site.

7. The intelligent fully automatic coking production management system according to claim 1 is characterized in that: The coking production data acquisition module, the data analysis module, the coking control execution module and the coking monitoring management module transmit data and issue instructions through a high-speed communication network, so that real-time communication and collaborative work between the modules can be achieved; the high-speed communication network includes Ethernet, industrial Ethernet or wireless networks such as Wi-Fi and 4G / 5G.

8. The intelligent fully automatic coking production management system according to claim 1 is characterized in that: The coking control execution module uses optimization algorithms such as genetic algorithm, particle swarm algorithm or neural network to optimize and analyze the coal coking production process, and proposes coking production control strategies including production parameter adjustment, equipment scheduling optimization, etc.

9. The intelligent fully automatic coking production management system according to claim 1 is characterized in that: The coking monitoring and management module also includes a fault diagnosis module, which uses a data-driven fault diagnosis method to monitor and diagnose equipment faults in the coal coking production process in real time, and provides fault alarms and fault handling suggestions including fault type, fault location, fault severity, etc.

10. The intelligent fully automatic coking production management system according to claim 1, characterized in that: The coking monitoring and management module also includes a remote maintenance unit, which includes remote monitoring, remote debugging and remote upgrading functions, allowing maintenance personnel to remotely monitor, debug and upgrade equipment in the coal coking production process at a remote location, thereby improving equipment maintenance efficiency and management level.

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