Coal conveying gallery unmanned inspection system and method for thermal power plant

Abstract

This invention belongs to the technical field of coal conveying systems in coal-fired power plants, and relates to an unmanned inspection system and method for coal conveying corridors in thermal power plants. The invention includes a monitoring terminal for the coal conveying corridor to acquire operational status data; an intelligent information processing terminal to compare and analyze the operational status data with a pre-set experience database to obtain the analysis and comparison results; and an intelligent safety protection terminal to determine whether the coal conveying corridor is operating abnormally based on the analysis and comparison results. If abnormality is found, corresponding protection commands are generated, including at least one of issuing an alarm, emergency shutdown, calculating water spray volume, and executing a water spray command. The unmanned inspection system terminal records the operational status data, the analysis and comparison results, and the protection commands into a database. This invention achieves automation and intelligence in coal conveying corridor inspection, improves the safety and reliability of the coal conveying process, reduces labor costs, and increases inspection efficiency.

Description

Technical Field

[0001] This invention belongs to the technical field of coal conveying systems in coal-fired power plants, and relates to an unmanned inspection system and method for coal conveying corridors in thermal power plants. Background Technology

[0002] A thermal power plant is a factory that uses combustible materials (such as coal) as fuel to produce electricity. Thermal power plants have coal yards for storing fuel coal, and the coal is transported through coal conveying corridors.

[0003] During the transportation of coal in the coal conveying corridor, monitoring is carried out through manual inspection. However, manual inspection is labor-intensive, relies on a single and crude method that is mainly visual inspection, and is susceptible to interference from human factors such as the quality and condition of the operators. The professional level, work experience, and concentration of the operators can all affect the inspection results. In addition, dust can easily accumulate during coal transportation, causing dust concentration to exceed the standard in certain areas. When the temperature of coal and coal conveying corridor is high, there is a risk of coal spontaneous combustion and dust explosion. Manual inspection often cannot detect hidden dangers such as excessive dust concentration and coal spontaneous combustion in time. Manual inspection is risky and has poor safety. Moreover, relying on manual inspection cannot be carried out frequently, resulting in low inspection efficiency. Summary of the Invention

[0004] The purpose of this invention is to provide an unmanned inspection system and method for coal conveying corridors in thermal power plants, in order to solve the technical problems of existing manual inspection methods for coal conveying corridors in thermal power plants, which are greatly affected by human factors, have high inspection risks, poor safety, low efficiency, and cannot detect hidden dangers such as excessive dust concentration and spontaneous combustion of coal in a timely manner.

[0005] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides an unmanned inspection system for coal conveying corridors in thermal power plants, comprising: The coal conveying corridor monitoring terminal is used to acquire operational status data in the coal conveying corridor; The information intelligent processing terminal is used to compare and analyze the operating status data with the preset experience database to obtain the analysis and comparison results; The coal conveying safety intelligent protection terminal is used to determine whether the coal conveying corridor of the thermal power plant is operating abnormally based on the analysis and comparison results. If the operation is abnormal, a corresponding protection command is generated. The protection command includes at least one of issuing an alarm, emergency shutdown, calculating water spray volume and executing the water spray command. The unmanned inspection system terminal of the corridor is used to record and store the operating status data, the analysis and comparison results, and the protection instructions into the database.

[0006] Furthermore, the operating status data includes belt misalignment data, belt tear prevention data, belt blockage and spillage data, idler wear data, coal conveyor motor vibration data, coal conveyor motor temperature data, as well as dust concentration data and coal temperature data for each area after segmentation.

[0007] Furthermore, the coal conveying monitoring terminal in the corridor includes: The conveyor component inspection module is used to acquire real-time data on belt misalignment, belt tear prevention, belt blockage and spillage, and idler wear of the conveyor components. The coal conveying system component monitoring module is used to acquire the vibration data and temperature data of the coal conveying motor in the coal conveying system component in real time. The spontaneous combustion prevention monitoring module is used to acquire real-time dust concentration data and coal temperature data in the interval, and to divide the coal conveying corridor into multiple intervals based on the dust concentration data and coal temperature data in the interval; The coal flow monitoring module is used to acquire the coal flow rate in multiple zones in real time. The data transmission module is used to transmit the belt misalignment data, belt tear prevention data, belt blockage and spillage data, idler wear data, coal conveyor motor vibration data, coal conveyor motor temperature data, zone dust concentration data, coal temperature data, and coal flow rate to the information intelligent processing terminal.

[0008] Furthermore, the conveying component inspection module includes: The belt misalignment monitoring module includes multiple high-definition cameras for real-time acquisition of video image data of belt misalignment in the conveyor components; The belt clogging and spillage monitoring module includes multiple visible light detectors for real-time acquisition of belt clogging and spillage status data; The belt tear prevention monitoring module includes multiple high-definition cameras for real-time acquisition of video image data of the conveyor belt tear prevention of the conveyor components; The idler roller wear monitoring module includes multiple visible light detectors for real-time acquisition of idler roller wear status data of the conveyor components; The high-definition cameras are arranged next to the coal conveying equipment inside the coal conveying corridor, with several high-definition cameras arranged at equal intervals. The visible light detectors are arranged next to the coal conveying equipment inside the coal conveying corridor, with several of the visible light detectors arranged at equal intervals.

[0009] Furthermore, the coal conveying system component monitoring module includes: The coal conveying motor vibration monitoring module includes several vibration sensors installed on the coal conveying motor, which are used to acquire the vibration data of the coal conveying motor of the coal conveying system component in real time; The coal conveyor motor temperature monitoring module includes several temperature detectors installed on the coal conveyor motor, which are used to acquire the temperature data of the coal conveyor motor, a component of the coal conveying system, in real time.

[0010] Furthermore, the spontaneous combustion prevention monitoring module includes: The interval dust concentration detection module includes multiple sets of dust concentration detectors, which are arranged in the coal conveying corridor to acquire interval dust concentration data. The interval temperature detection module includes multiple sets of infrared thermal imagers, which are arranged in the coal conveying corridor to acquire coal temperature data. The dust fire prevention zone segmentation module is used to divide the coal conveying corridor into multiple zones based on the zone dust concentration data and the coal temperature data.

[0011] Furthermore, the information intelligent processing terminal includes: The data receiving module is used to receive the operating status data; The data acquisition and processing module is used to classify and process the running status data to obtain the classified and processed data; The big data analysis module is used to compare and analyze the categorized and organized data with a pre-set experience database to obtain the analysis and comparison results; The data feedback module is used to feed back the analysis and comparison results to the intelligent protection terminal for coal conveying safety.

[0012] Furthermore, the pre-set experience database includes: The belt operation status database contains multiple sets of real-world data on belt misalignment, belt tear prevention, belt blockage and spillage, and idler wear. The motor status database contains multiple sets of vibration data and multiple sets of temperature data for coal conveying motors, based on practical data. The corridor environment database contains multiple sets of practical data on dust concentration and coal temperature in various areas of the corridor.

[0013] Furthermore, the intelligent protection terminal for coal conveying safety includes: The intelligent recognition and judgment module is used to receive the analysis and comparison results, perform recognition and judgment, and generate judgment results. The alarm processing module is used to issue an alarm when the judgment result meets the alarm conditions; The coal conveying system emergency stop module is used to automatically control the coal conveying equipment to stop when the judgment result meets the emergency stop conditions. The atomized water spray volume calculation module is used to obtain the required water spray volume based on dust concentration data and coal temperature data when the judgment result meets the spontaneous combustion risk conditions. The water spraying command module is used to issue a water spraying command for the required water volume and control the corresponding area to perform dust suppression and / or cooling water spraying operations. The monitoring data feedback module is used to synchronously transmit the operating status data, the judgment results, and the analysis and comparison results to the corridor unmanned inspection system for recording and storage, and to generate an operating log. The alarm conditions include at least one of the following: belt misalignment exceeds the error range but does not reach the emergency stop threshold; abnormal belt tear prevention data; abnormal belt blockage and spillage data; abnormal idler wear data; coal conveyor motor vibration data exceeds the warning value; coal conveyor motor temperature data exceeds the warning value; dust concentration data exceeds the warning value but does not reach the spontaneous combustion risk threshold; and temperature data exceeds the warning value but does not reach the spontaneous combustion risk threshold. The emergency stop conditions include at least one of the following: belt misalignment exceeding the emergency stop threshold, belt tearing, coal conveyor motor vibration data exceeding the emergency stop threshold, and coal conveyor motor temperature data exceeding the emergency stop threshold; The conditions for spontaneous combustion risk include at least one of the following: dust concentration data reaching or exceeding the spontaneous combustion risk threshold, and temperature data reaching or exceeding the spontaneous combustion risk threshold.

[0014] Secondly, the present invention provides a method for unmanned inspection of coal conveying corridors in thermal power plants, comprising the following steps: Acquire operational status data in the coal conveying corridor; The operational status data is compared and analyzed with a pre-set experience database to obtain the analysis and comparison results; The analysis and comparison results are analyzed and identified to generate a judgment result. If the judgment result meets the alarm conditions, an alarm will be issued; If the judgment result meets the emergency stop condition, the coal conveying equipment will be automatically shut down. If the judgment result meets the conditions for spontaneous combustion risk, the required water spray volume is obtained based on the dust concentration data and coal temperature data. The system issues a water spraying command based on the required water volume and controls the corresponding area to perform dust suppression and / or cooling water spraying operations. The operational status data, the judgment results, and the analysis and comparison results are synchronously transmitted to the corridor unmanned inspection system for recording and storage, generating an operational log.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This invention system includes: a coal conveying corridor monitoring terminal, an intelligent information processing terminal, an intelligent coal conveying safety protection terminal, and a corridor unmanned inspection system terminal. The coal conveying corridor monitoring terminal acquires operational status data from the coal conveying corridor, providing a comprehensive and reliable foundation for subsequent analysis and judgment, avoiding the untimely and inaccurate information acquisition associated with manual inspections. The intelligent information processing terminal compares and analyzes the operational status data with a pre-set experience database to obtain analysis and comparison results, facilitating rapid and accurate conclusions and improving the accuracy and scientific rigor of judging the operational status of the coal conveying corridor. The intelligent coal conveying safety protection terminal determines whether the coal conveying corridor of the thermal power plant is operating abnormally based on the analysis and comparison results. If an abnormality is detected, a corresponding protection command is generated, which includes at least one of the following: issuing an alarm, emergency shutdown, calculating water spray volume, and executing the water spray command. This system enables rapid response to abnormal situations and timely implementation of protective measures, significantly reducing inspection risks. The unmanned inspection system for the coal conveying corridor records the operational status data, analysis and comparison results, and protection commands into a database, providing detailed historical data support for subsequent data analysis, fault tracing, and system optimization. The collaborative work of each module achieves automation and intelligence in the inspection of the coal conveying corridor, improving the safety and reliability of the coal conveying process, reducing labor costs, and increasing inspection efficiency.

[0016] This invention provides a rich and reliable foundation for accurate analysis of the coal conveying corridor's operation by acquiring operational status data, avoiding the problems of incomplete and untimely information acquisition associated with manual inspections. The operational status data is compared and analyzed with a pre-set experience database to obtain comparison results. This comparison allows for precise judgment of whether the current operational status of the coal conveying corridor is normal, improving the accuracy and reliability of problem identification. The comparison results are then identified and judged to generate judgment results. Further judgments are made based on these results: if the judgment results meet alarm conditions, an alarm is issued; if the judgment results meet emergency stop conditions, the coal conveying equipment is automatically shut down; if the judgment results meet spontaneous combustion risk conditions, the required water spray volume is obtained based on dust concentration data and coal temperature data, and a water spraying command is issued accordingly. The operational status data, judgment results, and comparison results are synchronously transmitted to the unmanned inspection system of the corridor for recording and storage, generating an operation log. This invention enables real-time and accurate monitoring of the operating status of coal conveying corridors, timely detection and handling of various anomalies such as excessive dust concentration and spontaneous combustion of coal, effectively reducing accident risks and ensuring the safe and stable operation of coal conveying processes in thermal power plants. Simultaneously, by meticulously recording operational data and judgment results, it provides strong support for continuous system optimization and management decisions, improving the overall operation and management level of thermal power plants. It achieves automation, intelligence, and high efficiency in coal conveying corridor inspection. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the overall logic of the unmanned corridor inspection system proposed in this invention; Figure 2 This is a schematic diagram of the logic of the coal conveying monitoring terminal in the corridor proposed in this invention; Figure 3 This is a schematic diagram of the conveyor component inspection module proposed in this invention; Figure 4 This is a schematic diagram of the logic of the spontaneous combustion monitoring module proposed in this invention; Figure 5 This is a schematic diagram of the information intelligent processing terminal logic proposed in this invention; Figure 6 This is a schematic diagram of the intelligent protection terminal for coal conveying safety proposed in this invention. Figure 7 This is a flowchart of the method of the present invention. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0019] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0020] The present invention will now be described in further detail with reference to the accompanying drawings: Example 1: See Figure 1 This invention discloses an unmanned inspection system for coal conveying corridors in thermal power plants, comprising: The coal conveying corridor monitoring terminal is used to acquire operational status data in the coal conveying corridor, providing a comprehensive and reliable basis for subsequent analysis and judgment. It avoids the untimely and inaccurate information acquisition caused by manual inspection and effectively solves the problems of manual inspection being greatly affected by subjective factors and incomplete information acquisition.

[0021] The intelligent information processing terminal is used to compare and analyze the operating status data with the pre-set experience database to obtain the analysis and comparison results. This facilitates the rapid and accurate generation of analysis and comparison results, overcoming the limitations of the single, crude, and visually-based manual inspection method, and greatly improving the accuracy and scientific nature of judging the operating status of the coal conveying corridor.

[0022] The intelligent safety protection terminal for coal conveying is used to determine whether the coal conveying corridor of a thermal power plant is operating abnormally based on analysis and comparison results. If an abnormality is found, corresponding protection commands are generated. These commands include at least one of the following: issuing an alarm, emergency shutdown, calculating water spray volume, and executing the water spray command. This allows for rapid response to abnormal situations and timely implementation of protective measures, significantly reducing inspection risks, improving the safety of the coal conveying process, and solving the problems of manual inspections failing to detect hidden dangers in a timely manner and responding in a delayed manner.

[0023] The unmanned inspection system terminal for the coal conveying corridor records and stores the operational status data, analysis and comparison results, and protection commands into a database, providing detailed historical data support for subsequent data analysis, fault tracing, and system optimization. Through long-term accumulation and analysis of this data, the experience database can be further optimized, improving the overall system's intelligence and reliability. It also facilitates management personnel's comprehensive understanding and control of the coal conveying corridor's operation, providing a strong basis for decision-making.

[0024] This invention automates and intelligently inspects coal conveyor corridors through the coordinated operation of its various modules. It fundamentally solves the problems of existing manual inspection methods in thermal power plants, which are susceptible to human error, have high inspection risks, poor safety, and low efficiency. It enables real-time and comprehensive monitoring of the coal conveyor corridor's operating status, promptly detecting potential hazards such as excessive dust concentration and spontaneous combustion of coal, and quickly implementing effective protective measures, greatly improving the safety and reliability of the coal conveying process. Simultaneously, it eliminates the need for frequent manual inspections, reducing labor costs, increasing inspection efficiency, and providing strong support for the stable operation of thermal power plants.

[0025] In a preferred embodiment of the present invention, the operating status data includes belt misalignment data, belt tear prevention data, belt blockage and spillage data, idler wear data, coal conveyor motor vibration data, coal conveyor motor temperature data, as well as dust concentration data and coal temperature data for each area after being segmented into intervals.

[0026] See Figure 2In a preferred embodiment of the present invention, the coal conveying monitoring terminal of the corridor includes: The conveyor component inspection module is used to acquire real-time data on belt misalignment, belt tear prevention, belt blockage and spillage, and idler wear of the conveyor components. The coal conveying system component monitoring module is used to acquire the vibration data and temperature data of the coal conveying motor in the coal conveying system component in real time. The spontaneous combustion prevention monitoring module is used to acquire real-time dust concentration data and coal temperature data in the interval, and to divide the coal conveying corridor into multiple intervals based on the dust concentration data and coal temperature data in the interval; The coal flow monitoring module is used to acquire the coal flow rate in multiple zones in real time. The data transmission module is used to transmit the belt misalignment data, belt tear prevention data, belt blockage and spillage data, idler wear data, coal conveyor motor vibration data, coal conveyor motor temperature data, zone dust concentration data, coal temperature data, and coal flow rate to the information intelligent processing terminal.

[0027] See Figure 3 In a preferred embodiment of the present invention, the conveying component inspection module includes: The belt misalignment monitoring module includes multiple high-definition cameras for real-time acquisition of video image data of belt misalignment in the conveyor components; The belt clogging and spillage monitoring module includes multiple visible light detectors for real-time acquisition of belt clogging and spillage status data; The belt tear prevention monitoring module includes multiple high-definition cameras for real-time acquisition of video image data of the conveyor belt tear prevention of the conveyor components; The idler roller wear monitoring module includes multiple visible light detectors for real-time acquisition of idler roller wear status data of the conveyor components; The high-definition cameras are arranged next to the coal conveying equipment inside the coal conveying corridor, with several high-definition cameras arranged at equal intervals. The visible light detectors are arranged next to the coal conveying equipment inside the coal conveying corridor, with several of the visible light detectors arranged at equal intervals.

[0028] In a preferred embodiment of the present invention, the coal conveying system component monitoring module includes: The coal conveying motor vibration monitoring module includes several vibration sensors installed on the coal conveying motor, which are used to acquire the vibration data of the coal conveying motor of the coal conveying system component in real time; The coal conveyor motor temperature monitoring module includes several temperature detectors installed on the coal conveyor motor, which are used to acquire the temperature data of the coal conveyor motor, a component of the coal conveying system, in real time.

[0029] See Figure 4In a preferred embodiment of the present invention, the spontaneous combustion prevention monitoring module includes: The interval dust concentration detection module includes multiple sets of dust concentration detectors, which are arranged in the coal conveying corridor to acquire interval dust concentration data. The interval temperature detection module includes multiple sets of infrared thermal imagers, which are arranged in the coal conveying corridor to acquire coal temperature data. The dust fire prevention zone segmentation module is used to divide the coal conveying corridor into multiple zones based on the zone dust concentration data and the coal temperature data.

[0030] See Figure 5 In a preferred embodiment of the present invention, the information intelligent processing terminal includes: The data receiving module is used to receive the operating status data; The data acquisition and processing module is used to classify and process the running status data to obtain the classified and processed data; The big data analysis module is used to compare and analyze the categorized and organized data with a pre-set experience database to obtain the analysis and comparison results; The data feedback module is used to feed back the analysis and comparison results to the intelligent protection terminal for coal conveying safety.

[0031] In a preferred embodiment of the present invention, the preset experience database includes: The belt operation status database contains multiple sets of real-world data on belt misalignment, belt tear prevention, belt blockage and spillage, and idler wear. The motor status database contains multiple sets of vibration data and multiple sets of temperature data for coal conveying motors, based on practical data. The corridor environment database contains multiple sets of practical data on dust concentration and coal temperature in various areas of the corridor.

[0032] See Figure 6 In a preferred embodiment of the present invention, the intelligent protection terminal for coal conveying safety includes: The intelligent recognition and judgment module is used to receive the analysis and comparison results, perform recognition and judgment, and generate judgment results. The alarm processing module is used to issue an alarm when the judgment result meets the alarm conditions; The coal conveying system emergency stop module is used to automatically control the coal conveying equipment to stop when the judgment result meets the emergency stop conditions. The atomized water spray volume calculation module is used to obtain the required water spray volume based on dust concentration data and coal temperature data when the judgment result meets the spontaneous combustion risk conditions. The water spraying command module is used to issue a water spraying command for the required water volume and control the corresponding area to perform dust suppression and / or cooling water spraying operations. The monitoring data feedback module is used to synchronously transmit the operating status data, the judgment results, and the analysis and comparison results to the corridor unmanned inspection system for recording and storage, and to generate an operating log.

[0033] The alarm conditions include at least one of the following: belt misalignment exceeds the error range but does not reach the emergency stop threshold; abnormal belt tear prevention data; abnormal belt blockage and spillage data; abnormal idler wear data; coal conveyor motor vibration data exceeds the warning value; coal conveyor motor temperature data exceeds the warning value; dust concentration data exceeds the warning value but does not reach the spontaneous combustion risk threshold; and temperature data exceeds the warning value but does not reach the spontaneous combustion risk threshold. The emergency stop conditions include at least one of the following: belt misalignment exceeding the emergency stop threshold, belt tearing, coal conveyor motor vibration data exceeding the emergency stop threshold, and coal conveyor motor temperature data exceeding the emergency stop threshold; The conditions for spontaneous combustion risk include at least one of the following: dust concentration data reaching or exceeding the spontaneous combustion risk threshold, and temperature data reaching or exceeding the spontaneous combustion risk threshold.

[0034] See Figure 7 Based on the above method, the present invention also discloses an unmanned inspection method for coal conveying corridors in thermal power plants, comprising the following steps: S1 acquires operational status data in the coal conveying corridor, providing a rich and reliable foundation for subsequent accurate analysis of the corridor's operational status. This avoids the problems of incomplete and untimely information acquisition during manual inspections, ensuring a precise grasp of the coal conveying process status.

[0035] S2 compares and analyzes the operating status data with a pre-set experience database to obtain the analysis and comparison results. By comparing with the experience data, it can accurately determine whether the current operating status of the coal conveying corridor is normal, discover subtle problems that are difficult to detect by manual inspection, provide a scientific basis for subsequent decision-making, and improve the accuracy and reliability of problem judgment.

[0036] S3, analyze and compare the results, identify and judge them, and generate judgment results; S4, Generate corresponding instructions based on the judgment result, as follows: If the judgment result meets the alarm conditions, an alarm will be issued so that staff can be quickly informed and take countermeasures to prevent the problem from worsening.

[0037] If the judgment result meets the emergency stop conditions, the coal conveying equipment will be automatically shut down. That is, in the event of an emergency that may cause a serious accident, the operation of the coal conveying equipment can be stopped quickly to prevent the accident from escalating, protect the safety of equipment and personnel, and effectively reduce the risk and loss of the accident.

[0038] If the judgment result meets the conditions for spontaneous combustion risk, the required water spray volume is obtained based on the dust concentration data and coal temperature data. The system issues water spraying commands based on the required water volume, controlling the corresponding area to carry out dust suppression and / or cooling water spraying operations. This can reduce dust concentration and prevent dust explosions, as well as lower coal temperature and prevent coal spontaneous combustion, effectively ensuring the safe operation of the coal conveying corridor.

[0039] S5, the operating status data, the judgment results, and the analysis comparison results are synchronously transmitted to the unmanned inspection system of the coal conveying corridor for recording and storage, generating an operating log. By fully recording various data and judgment results during the operation of the coal conveying corridor, a detailed operating log is formed, providing detailed historical data support for subsequent data analysis, fault tracing, system optimization, etc.

[0040] The coordinated operation of the various steps described above in this invention achieves automation, intelligence, and high efficiency in coal conveyor corridor inspection. It fundamentally solves the problems of manual inspection, such as significant human interference, untimely and incomplete inspections, poor safety, and low efficiency. It can monitor the operating status of the coal conveyor corridor in real time and accurately, promptly detect and handle various abnormal situations, such as excessive dust concentration and spontaneous combustion of coal, effectively reducing accident risks and ensuring the safe and stable operation of the coal conveying process in thermal power plants. Simultaneously, by recording detailed operating data and judgment results, it provides strong support for continuous system optimization and management decisions, improving the overall operation and management level of thermal power plants.

[0041] Example 2: Reference Figures 1-4 As shown in the figure, this embodiment discloses an unmanned inspection system for coal conveying corridors in thermal power plants, including an unmanned inspection system terminal. The unmanned inspection system terminal is connected to a coal conveying monitoring terminal, a coal conveying safety intelligent protection terminal, and an information intelligent processing terminal via electrical signals. The coal conveying monitoring terminal and the coal conveying safety intelligent protection terminal are both connected to the information intelligent processing terminal via data signals.

[0042] See Figure 2 The coal conveying monitoring terminal of the corridor includes a conveying component inspection module, a coal conveying system component monitoring module, a spontaneous combustion prevention monitoring module, and a data transmission module, which are electrically connected to the corridor unmanned inspection system terminal. The conveying component inspection module and the spontaneous combustion prevention monitoring module are both connected to the data transmission module via data signals.

[0043] See Figure 3The conveyor component inspection module includes a belt misalignment monitoring module, a belt blockage and spillage monitoring module, a belt tear prevention monitoring module, and an idler wear monitoring module, all of which are connected to the unmanned inspection system of the corridor via electrical signals. The belt misalignment monitoring module, belt blockage and spillage monitoring module, belt tear prevention monitoring module, and idler wear monitoring module are all connected to the data transmission module via data signals.

[0044] Both the belt misalignment monitoring module and the belt tear prevention monitoring module consist of multiple high-definition cameras, while both the belt blockage and spillage monitoring module and the idler wear monitoring module consist of multiple visible light detectors.

[0045] Both the belt misalignment monitoring module and the belt tear prevention monitoring module include high-definition cameras installed at intervals near the coal conveying equipment inside the coal conveying corridor. The belt blockage and spillage monitoring module and the idler wear monitoring module include visible light detectors installed at intervals near the coal conveying equipment inside the coal conveying corridor. The high-definition cameras in the belt misalignment monitoring module and the belt tear prevention monitoring module respectively provide real-time video image monitoring of the conveyor belts. Simultaneously, the visible light detectors in the belt blockage and spillage monitoring module and the idler wear monitoring module respectively detect belt blockage and idler wear in real time. Finally, all data is fed back to the data transmission module in real time, which then transmits the data... The data is fed back to the intelligent information processing terminal, which then transmits it to the intelligent coal conveying safety protection terminal. The terminal intelligently assesses the specific operating conditions of the conveyor belts and the wear of the idlers, making informed decisions to prevent equipment malfunctions caused by belt misalignment, tearing, blockage, or severe idler wear from escalating, thus avoiding economic losses and safety hazards. The inspection module of the corridor coal conveying monitoring terminal performs real-time unmanned monitoring of the conveying components. The intelligent information processing terminal collects, organizes, and analyzes the data, feeding it back to the intelligent coal conveying safety protection terminal for unmanned intelligent protection, effectively improving the efficiency of corridor coal conveying inspections.

[0046] The coal conveying system component monitoring module is electrically connected to the coal conveying motor vibration monitoring module and the coal conveying motor temperature monitoring module. Both the coal conveying motor vibration monitoring module and the coal conveying motor temperature monitoring module are connected to the data transmission module via data signals. The coal conveying motor vibration monitoring module is selected from a vibration sensor, and the coal conveying motor temperature monitoring module is selected from a temperature detector.

[0047] Vibration sensors and temperature detectors are used to monitor the vibration and temperature data of the coal conveying motor in the coal conveying system components in real time. The monitored data is then fed back to the intelligent information processing terminal through the data transmission module. Finally, the intelligent information processing terminal collects, organizes, and analyzes the information and feeds it back to the intelligent coal conveying safety protection terminal. Subsequently, the intelligent coal conveying safety protection terminal makes intelligent judgments on the information data and takes active protection measures, which effectively improves the safety of unmanned coal conveying inspection and also improves the work efficiency of unmanned coal conveying inspection.

[0048] See Figure 4 The spontaneous combustion prevention monitoring module includes a dust prevention and fire prevention section module that is electrically connected to the corridor unmanned inspection system. The dust prevention and fire prevention section module is electrically connected to a section dust concentration detection module and a section temperature detection module. Both the section dust concentration detection module and the section temperature detection module are connected to the data transmission module via data signals. The section dust concentration detection module consists of multiple dust concentration detectors, and the section temperature detection module consists of multiple infrared thermal imagers.

[0049] The coal conveying corridor is precisely divided into multiple zones by a dust prevention and fire prevention section module. Each zone is equipped with a dust concentration detector and an infrared thermal imager. These devices monitor the dust concentration and coal temperature in real time and then feed multiple sets of data back to the intelligent information processing terminal. The terminal collects, organizes, and analyzes the data, and then performs proactive protection measures based on the intelligent data analysis. This effectively improves the safety and efficiency of unmanned coal conveying inspections.

[0050] See Figure 2 The unmanned inspection system of the corridor is electrically connected to a coal flow monitoring module. The coal flow monitoring module is connected to the data transmission module through a data signal. The coal flow monitoring module detects the amount of coal transported in multiple areas of the coal conveying corridor. This facilitates the subsequent calculation of the amount of water sprayed to prevent spontaneous combustion based on the amount of coal and its temperature in a certain area, thereby effectively achieving the effect of cooling and preventing spontaneous combustion.

[0051] Reference Figure 1 , Figure 2 , Figure 5 As shown, the intelligent information processing terminal includes a data receiving module connected to the data transmission module via a data signal. The data receiving module is connected to a data acquisition and processing module via a data signal. The data acquisition and processing module is connected to a big data analysis module via a data signal. The big data analysis module is connected to a data feedback module. The data receiving module, the data acquisition and processing module, the big data analysis module, and the data feedback module are all electrically connected to the corridor unmanned inspection system terminal.

[0052] The data transmission module in the coal conveyor monitoring terminal of the corridor feeds back data on belt misalignment, belt tear prevention, coal flow, as well as detected data on belt blockage and spillage, idler wear, coal conveyor motor vibration, coal conveyor motor temperature, and dust concentration and temperature in multiple sections of the corridor to the data receiving module. The data receiving module then feeds back multiple data sets to the data acquisition and processing module in real time. This module categorizes and organizes all the data and feeds it back to the big data analysis module in real time. The big data analysis module contains multiple pre-set experience databases, specifically a database of real-world data on belt misalignment, belt tear prevention, belt blockage and spillage, and idler wear; a database of real-world data on coal conveyor motor vibration and temperature; and a database of real-world data on dust concentration and temperature in the corridor area. This data is then processed through the databases in the big data analysis module. The data is analyzed and compared with the real-time transmitted belt misalignment data. Similarly, the real-time transmitted data on belt tear prevention, belt blockage and spillage, idler wear, coal conveyor motor vibration and temperature, and dust concentration and temperature in the corridor area are also analyzed and compared with data in the big data analysis module's database. The final analyzed and compared data is fed back to the intelligent coal conveying safety protection terminal, which intelligently identifies and judges the situation and takes corresponding safety protection measures. This effectively improves the safety and professionalism of unmanned inspections, enhancing their effectiveness. Compared to traditional manual inspections, which are affected by human factors such as operator skill, condition, professional level, work experience, and concentration, unmanned inspections analyze and compare specific practical data with real-time data, resulting in higher professionalism, better inspection effects, and higher efficiency.

[0053] Reference Figure 1 , 5 As shown in Figure 6, the intelligent safety protection terminal for coal conveying includes an alarm processing module, a coal conveying system emergency stop module, and a water spraying command module, all electrically connected to the unmanned inspection system terminal of the corridor. The unmanned inspection system terminal of the corridor is electrically connected to an intelligent identification and judgment module. The intelligent identification and judgment module is connected to the data feedback module via data signals. The intelligent identification and judgment module is also connected to the alarm processing module and the coal conveying system emergency stop module via data signals. The intelligent identification and judgment module is connected to the monitoring data feedback module via data signals. The monitoring data feedback module is connected to the unmanned inspection system terminal of the corridor via data signals. The intelligent identification and judgment module is connected to the atomized water spraying volume calculation module via data signals. The atomized water spraying volume calculation module is connected to the water spraying command module via data signals.

[0054] The intelligent information processing terminal feeds back the data results of big data analysis and comparison to the intelligent coal conveying safety protection terminal via the data feedback module. The intelligent coal conveying safety protection terminal then uses an intelligent identification and judgment module to intelligently identify and judge each set of comparison data. For example, after comparing the real-time transmitted belt misalignment image data with multiple sets of belt misalignment images in the database, the intelligent identification and judgment module automatically identifies and judges that the real-time belt misalignment image is more similar to a certain set of belt misalignment images in the database. If it makes an active judgment, the database records the specific degree of belt misalignment and its impact on coal conveying. If this belt misalignment fault is within the belt misalignment error range, the intelligent coal conveying safety protection terminal, through the monitoring data feedback module, synchronously transmits this identification and judgment result and the data analysis and comparison information to the corridor unmanned inspection system for recording and storage, facilitating retrieval by operators. If a belt misalignment fault occurs... If the belt misalignment exceeds the error range but the degree of misalignment is low, the intelligent identification and judgment module feeds this information back to the alarm processing module. The alarm processing module then issues an alarm, located in the monitoring room of the operators, to facilitate notification of the monitoring personnel to shut down the machine for maintenance. Simultaneously, the intelligent identification and judgment module feeds this information back to the unmanned inspection system of the corridor through the monitoring data feedback module for recording and storage. All recorded information is converted into an operation log for easy query by the operators. If the belt misalignment is high, the intelligent identification and judgment module feeds this information back to the alarm processing module and the coal conveying system emergency stop module. The alarm processing module then issues an alarm to notify the monitoring personnel and automatically shuts down the coal conveying equipment to prevent the equipment failure from escalating and affecting the efficiency of coal conveying. Real-time data on belt tear prevention, belt blockage and spillage, idler wear, vibration and temperature of the coal conveying motor are also automatically processed using the same principles.

[0055] When the intelligent identification and judgment module analyzes and compares the dust concentration and temperature of each area in the corridor with the actual dust concentration and temperature data of the corridor area in the database, it automatically identifies and judges the similarity between the real-time dust concentration and temperature of each area and one of the dust concentration and temperature data in the database. The database records whether each dust concentration and temperature has a risk of spontaneous combustion. If the dust concentration and coal temperature of a certain area of ​​the corridor do not have a risk of spontaneous combustion, then the identification and judgment result and the data analysis and comparison information are synchronously sent to the corridor unmanned inspection system for recording and database entry. If either the dust concentration or the coal temperature has a risk of spontaneous combustion, then the system will record the data. Since both pose a risk of spontaneous combustion, the intelligent identification and judgment module feeds back the dust concentration, coal temperature data, and coal quantity data in the area to the atomizing water spray volume calculation module. This module calculates the required water spray volume based on the dust concentration, coal temperature, coal quantity, and dust concentration, or a combination of both. Finally, it issues a water spray command through the water spray command module to suppress dust and cool the coal in the area, effectively preventing spontaneous combustion of coal and dust explosions. This significantly improves the automated prevention and handling of spontaneous combustion and dust explosions by unmanned inspection systems, enhancing their overall effectiveness. In summary, this unmanned inspection system performs real-time, automated monitoring and inspection of belt misalignment, belt tear prevention, coal flow, belt blockage and spillage, idler wear, coal conveyor motor vibration, coal conveyor motor temperature, and dust concentration and temperature in multiple sections of the conveyor corridor. It utilizes multiple sets of practical databases and compares the information from these databases with real-time inspection data through big data analysis. Finally, an intelligent identification and judgment module makes autonomous judgments, subsequently issuing alarms, shutting down the system, and implementing automatic atomized water spraying for dust suppression, explosion prevention, and coal spontaneous combustion prevention. The system records these judgments and solutions, allowing operators to access them in real-time. Compared to manual inspections, which are affected by human factors such as operator skill, condition, professional level, experience, and concentration, unmanned inspections, through big data analysis and comparison of specific practical data with real-time data, are more professional. Furthermore, by making real-time autonomous judgments and providing solutions based on coal conveying conditions, it offers higher efficiency and safety, effectively improving the efficiency of conveyor corridor inspections.

[0056] Compared with the prior art, the beneficial effects of this invention are as follows: By conducting real-time unmanned automatic monitoring and inspection of belt misalignment, belt tear prevention, coal flow, belt blockage and spillage, idler wear, coal conveyor motor vibration, coal conveyor motor temperature, and dust concentration and temperature in multiple sections of the corridor, its work efficiency is higher and its safety is higher. By analyzing and comparing information from the database with real-time inspection data through big data analytics, the intelligent identification and judgment module makes autonomous judgments and then issues alarms, shuts down the machine, and automatically sprays water to reduce dust and prevent explosions, as well as prevent spontaneous combustion of coal. Compared with traditional manual inspections, unmanned inspections are more professional because they compare and analyze specific practical data with real-time data. They make real-time autonomous judgments based on the coal conveying situation and provide solutions, effectively improving the efficiency of coal conveying inspections in the corridor.

[0057] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of this invention.

Claims

1. An unmanned inspection system for coal conveying corridors in thermal power plants, characterized in that, include: The coal conveying corridor monitoring terminal is used to acquire operational status data in the coal conveying corridor; The information intelligent processing terminal is used to compare and analyze the operating status data with the preset experience database to obtain the analysis and comparison results; The coal conveying safety intelligent protection terminal is used to determine whether the coal conveying corridor of the thermal power plant is operating abnormally based on the analysis and comparison results. If the operation is abnormal, a corresponding protection command is generated. The protection command includes at least one of issuing an alarm, emergency shutdown, calculating water spray volume and executing the water spray command. The unmanned inspection system terminal of the corridor is used to record and store the operating status data, the analysis and comparison results, and the protection instructions into the database.

2. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 1, characterized in that, The operational status data includes belt misalignment data, belt tear prevention data, belt blockage and spillage data, idler wear data, coal conveyor motor vibration data, coal conveyor motor temperature data, as well as dust concentration data and coal temperature data for each area after segmentation.

3. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 1, characterized in that, The coal conveying monitoring terminal for the corridor includes: The conveyor component inspection module is used to acquire real-time data on belt misalignment, belt tear prevention, belt blockage and spillage, and idler wear of the conveyor components. The coal conveying system component monitoring module is used to acquire the vibration data and temperature data of the coal conveying motor in the coal conveying system component in real time. The spontaneous combustion prevention monitoring module is used to acquire real-time dust concentration data and coal temperature data in the interval, and to divide the coal conveying corridor into multiple intervals based on the dust concentration data and coal temperature data in the interval; The coal flow monitoring module is used to acquire the coal flow rate in multiple zones in real time. The data transmission module is used to transmit the belt misalignment data, belt tear prevention data, belt blockage and spillage data, idler wear data, coal conveyor motor vibration data, coal conveyor motor temperature data, zone dust concentration data, coal temperature data, and coal flow rate to the information intelligent processing terminal.

4. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 2, characterized in that, The conveyor component inspection module includes: The belt misalignment monitoring module includes multiple high-definition cameras for real-time acquisition of video image data of belt misalignment in the conveyor components; The belt clogging and spillage monitoring module includes multiple visible light detectors for real-time acquisition of belt clogging and spillage status data; The belt tear prevention monitoring module includes multiple high-definition cameras for real-time acquisition of video image data of the conveyor belt tear prevention of the conveyor components; The idler roller wear monitoring module includes multiple visible light detectors for real-time acquisition of idler roller wear status data of the conveyor components; The high-definition cameras are arranged next to the coal conveying equipment inside the coal conveying corridor, with several high-definition cameras arranged at equal intervals. The visible light detectors are arranged next to the coal conveying equipment inside the coal conveying corridor, with several of the visible light detectors arranged at equal intervals.

5. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 2, characterized in that, The coal conveying system component monitoring module includes: The coal conveying motor vibration monitoring module includes several vibration sensors installed on the coal conveying motor, which are used to acquire the vibration data of the coal conveying motor of the coal conveying system component in real time; The coal conveyor motor temperature monitoring module includes several temperature detectors installed on the coal conveyor motor, which are used to acquire the temperature data of the coal conveyor motor, a component of the coal conveying system, in real time.

6. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 2, characterized in that, The spontaneous combustion prevention monitoring module includes: The interval dust concentration detection module includes multiple sets of dust concentration detectors, which are arranged in the coal conveying corridor to acquire interval dust concentration data. The interval temperature detection module includes multiple sets of infrared thermal imagers, which are arranged in the coal conveying corridor to acquire coal temperature data. The dust fire prevention zone segmentation module is used to divide the coal conveying corridor into multiple zones based on the zone dust concentration data and the coal temperature data.

7. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 1, characterized in that, The intelligent information processing terminal includes: The data receiving module is used to receive the operating status data; The data acquisition and processing module is used to classify and process the running status data to obtain the classified and processed data; The big data analysis module is used to compare and analyze the categorized and organized data with a pre-set experience database to obtain the analysis and comparison results; The data feedback module is used to feed back the analysis and comparison results to the intelligent protection terminal for coal conveying safety.

8. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 7, characterized in that, The pre-configured experience database includes: The belt operation status database contains multiple sets of real-world data on belt misalignment, belt tear prevention, belt blockage and spillage, and idler wear. The motor status database contains multiple sets of vibration data and multiple sets of temperature data for coal conveying motors, based on practical data. The corridor environment database contains multiple sets of practical data on dust concentration and coal temperature in various areas of the corridor.

9. The unmanned inspection system for coal conveying corridors in a thermal power plant according to claim 2, characterized in that, The intelligent protection terminal for coal conveying safety includes: The intelligent recognition and judgment module is used to receive the analysis and comparison results, perform recognition and judgment, and generate judgment results. The alarm processing module is used to issue an alarm when the judgment result meets the alarm conditions; The coal conveying system emergency stop module is used to automatically control the coal conveying equipment to stop when the judgment result meets the emergency stop conditions. The atomized water spray volume calculation module is used to obtain the required water spray volume based on dust concentration data and coal temperature data when the judgment result meets the spontaneous combustion risk conditions. The water spraying command module is used to issue a water spraying command for the required water volume and control the corresponding area to perform dust suppression and / or cooling water spraying operations. The monitoring data feedback module is used to synchronously transmit the operating status data, the judgment results, and the analysis and comparison results to the corridor unmanned inspection system for recording and storage, and to generate an operating log. The alarm conditions include at least one of the following: belt misalignment exceeds the error range but does not reach the emergency stop threshold; abnormal belt tear prevention data; abnormal belt blockage and spillage data; abnormal idler wear data; coal conveyor motor vibration data exceeds the warning value; coal conveyor motor temperature data exceeds the warning value; dust concentration data exceeds the warning value but does not reach the spontaneous combustion risk threshold; and temperature data exceeds the warning value but does not reach the spontaneous combustion risk threshold. The emergency stop conditions include at least one of the following: belt misalignment exceeding the emergency stop threshold, belt tearing, coal conveyor motor vibration data exceeding the emergency stop threshold, and coal conveyor motor temperature data exceeding the emergency stop threshold; The conditions for spontaneous combustion risk include at least one of the following: dust concentration data reaching or exceeding the spontaneous combustion risk threshold, and temperature data reaching or exceeding the spontaneous combustion risk threshold.

10. An unmanned inspection method for an unmanned inspection system of a coal conveying corridor in a thermal power plant based on any one of claims 1 to 9, characterized in that, Includes the following steps: Acquire operational status data in the coal conveying corridor; The operational status data is compared and analyzed with a pre-set experience database to obtain the analysis and comparison results; The analysis and comparison results are analyzed and identified to generate a judgment result. If the judgment result meets the alarm conditions, an alarm will be issued; If the judgment result meets the emergency stop condition, the coal conveying equipment will be automatically shut down. If the judgment result meets the conditions for spontaneous combustion risk, the required water spray volume is obtained based on the dust concentration data and coal temperature data. The system issues a water spraying command based on the required water volume and controls the corresponding area to perform dust suppression and / or cooling water spraying operations. The operational status data, the judgment results, and the analysis and comparison results are synchronously transmitted to the corridor unmanned inspection system for recording and storage, generating an operational log.

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