Explosion-proof equipment operation maintenance monitoring system based on Internet of Things cloud platform

Abstract

The invention relates to the technical field of explosion-proof packaging operation monitoring, and particularly discloses an explosion-proof equipment operation maintenance monitoring system based on an internet of things cloud platform, which comprises a power supply module, an internet of things, a data acquisition module, a data transmission module and a data storage module, the sensor unit comprehensively monitors the operation state of the explosion-proof equipment by virtue of various sensors, for example, a temperature sensor focuses on temperature monitoring, is not interfered by other irrelevant signals, ensures that the overheating problem is timely perceived and is complementary with a fault instruction transmission anti-interference measure, and the signal conditioning unit amplifies and filters weak signals and removes electromagnetic noise in a targeted manner; in the data transmission module, an instruction noise reduction compensation unit suppresses specific frequency electromagnetic noise through band elimination filtering, frequency compensation is carried out to eliminate distortion, the anti-interference capability of fault instruction signals is improved, accurate transmission is guaranteed, and electromagnetic noise interference is solved from multiple aspects of a source end and a transmission process.

Description

Technical Field

[0001] The present invention relates to the technical field of explosion-proof packaging operation monitoring, and in particular to an explosion-proof equipment operation maintenance monitoring system based on an Internet of Things cloud platform. Background Art

[0002] At present, with the continuous development and progress of industrial production, explosion-proof equipment plays an important role in many industrial fields. However, due to reasons such as equipment aging and improper use, explosion-proof equipment often fails, seriously threatening the safety of industrial production. Therefore, it is necessary to set up an explosion-proof equipment operation and maintenance monitoring system based on the Internet of Things cloud platform. In the prior art, a Chinese patent with announcement number "CN117241238A" discloses an explosion-proof equipment operation and maintenance monitoring system based on the Internet of Things cloud platform, which includes a data acquisition module, a fault judgment module and a command transmission module. The present invention uses the command transmission module to send a fault judgment module to the fault judgment module. The fault command is signal conditioned, including a command noise reduction compensation unit, a bias power amplifier unit and a signal transmitter. The distortion generated during the transmission of the fault command signal is eliminated by performing notch and frequency compensation on the fault command signal. The bias power amplifier unit is used to perform power enhancement processing on the fault command signal processed by the command noise reduction compensation unit to ensure accurate transmission of the early warning command and more stable and reliable operation, maintenance and monitoring system of explosion-proof equipment. An automatic command amplification gain control circuit is added between the command noise reduction compensation unit and the bias power amplifier unit to optimize the dynamic range and use environment of the system and achieve better signal transmission, reception and processing effects of the fault command.

[0003] In the actual application of the above system, a series of key problems that need to be solved are exposed. First, the electromagnetic noise interference is extremely serious. Since the existing technical means lack effective suppression measures for the specific frequency electromagnetic noise generated by the operation of explosion-proof equipment, the fault command signal is easily interfered and distorted during the transmission process. This distortion seriously affects the accuracy of signal transmission, which may lead to deviations in the judgment of faults and the inability to take corresponding measures in a timely and effective manner, which brings potential risks to the safe operation of explosion-proof equipment. Secondly, the stability of power enhancement technology has obvious defects. During operation, circuit components are easily affected by factors such as ambient temperature, which causes changes in their working state. This change further causes the problem of power amplifier distortion of fault command signals. Moreover, during the power amplification process, the accuracy of frequency selection is seriously insufficient, and the frequency required for the early warning command cannot be accurately selected, which greatly affects the accurate transmission of the early warning command. This may not only lead to false alarms or missed alarms, but also greatly reduce the reliability of the entire system in dealing with potential dangers. Third, the flexibility of signal gain adjustment is seriously lacking. The existing system cannot automatically adjust according to the actual application scenarios and complex and changeable environmental conditions, which greatly limits the dynamic range of the system. This problem directly affects the transmission, reception and subsequent processing effects of fault instructions. Under different working conditions, such as the distance, the strength of environmental interference, etc., the signal may be too strong to cause interference or too weak to be accurately received due to improper gain adjustment. This unstable state further affects the stability and reliability of the entire system, and it is difficult to meet the strict requirements of the explosion-proof equipment operation, maintenance and monitoring system in actual applications. Therefore, it is urgent to comprehensively improve and innovate the existing technology to effectively solve these outstanding problems, ensure that the system can operate efficiently and stably, and provide strong guarantees for the safe operation of explosion-proof equipment. Summary of the invention

[0004] The purpose of the present invention is to provide an explosion-proof equipment operation, maintenance and monitoring system based on an Internet of Things cloud platform to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides an explosion-proof equipment operation maintenance monitoring system based on an Internet of Things cloud platform, comprising a power supply module, an Internet of Things, a data acquisition module, a data transmission module, a data storage module, a pan-tilt access module, a user terminal module and a data analysis and processing module, wherein the data acquisition module, the data storage module, the pan-tilt access module, the user terminal module and the data analysis and processing module are connected via a data transmission module and an Internet of Things signal, and the power supply module is used to supply power to the data acquisition module, the data transmission module, the data storage module, the pan-tilt access module, the user terminal module and the data analysis and processing module; The data transmission module includes a wired communication module, a wireless communication module, a communication protocol stack module and a data encryption unit. The wireless communication module and the wireless communication module and the IoT signal connection wireless communication module are used to provide a stable and high-speed data transmission channel. It is suitable for occasions with large data volume and high requirements for transmission stability. The wireless communication module is used for convenient connection in areas covered by wireless networks, which facilitates data transmission to the cloud platform IoT. The communication protocol stack module is used to ensure the correct transmission and reception of data in the network. It is suitable for communication between IoT devices and cloud platforms, and can efficiently transmit data. The data encryption unit is used to encrypt the transmitted data to prevent the data from being stolen or tampered with during transmission, thereby ensuring the security of the data.

[0006] Furthermore, the data transmission module also includes a transmission buffer module and a communication status monitoring unit. The transmission buffer module and the communication status monitoring unit are connected to the transmission buffer module through the wireless communication module and the Internet of Things signal to temporarily store data, thereby playing a buffering role and avoiding congestion and loss of data transmission. The communication status monitoring unit is used to monitor the connection status, signal strength, data transmission rate and other parameters of data transmission in real time, and can promptly alarm and try to restore communication when a communication failure occurs.

[0007] Furthermore, the data acquisition module includes a sensor unit, a data acquisition card module, a data cache unit and an acquisition controller. The sensor unit, the data acquisition card module, the data cache unit and the acquisition controller are connected through the data transmission module and the Internet of Things signal. The sensor unit includes a temperature sensor for monitoring the temperature of the explosion-proof equipment during operation to prevent the equipment from overheating and causing danger; a pressure sensor for measuring the internal pressure of the equipment to ensure that the pressure is within a safe range; a vibration sensor for detecting the vibration of the equipment during operation and promptly discovering abnormal vibration, which may indicate wear or failure of equipment components; a liquid level sensor for explosion-proof equipment with liquid media to monitor liquid level changes; a gas sensor for detecting the concentration of flammable gases and toxic gases in the surrounding environment to ensure safety. The data acquisition card module is used to convert the analog signals collected by the sensor into digital signals so that the data can be processed by other parts of the system. The data cache unit is used to temporarily store the collected data before data transmission to prevent data loss and ensure data integrity. The acquisition controller module is used to coordinate parameters such as the data acquisition frequency and acquisition sequence of the sensor to ensure the orderliness and accuracy of data acquisition.

[0008] Furthermore, the data acquisition module also includes a signal conditioning unit and a multiplexer module, which are connected to the Internet of Things signal through the data transmission module. The data acquisition module also includes a signal conditioning unit and a multiplexer module, which are connected to the Internet of Things signal through the data transmission module. The signal conditioning unit is used to amplify and filter the weak signals transmitted by the sensor to improve signal quality and reduce noise interference. The multiplexer module can switch signal channels of different sensors so that multiple sensors can share a data acquisition card to improve resource utilization efficiency.

[0009] Furthermore, the cloud platform access module includes a cloud platform interface unit, a device authentication module, a data protocol adaptation module, a traffic monitoring unit and an access security unit. The cloud platform interface unit is used to provide an adaptation interface with various mainstream cloud platforms such as Alibaba Cloud, Tencent Cloud, and Huawei Cloud, so that the system can upload data to the cloud platform for storage and analysis. The device authentication module adopts multiple authentication methods such as digital certificates and usernames / passwords to ensure that only authorized explosion-proof equipment can access the cloud platform and prevent illegal equipment from accessing. The data format conversion unit is used to convert the data format collected and transmitted from the device into a format that can be recognized and processed by the cloud platform. The access protocol adaptation module is used to adapt to different access protocols, such as HTTP, HTTPS, CoAP, etc., to ensure that the data can be successfully uploaded to the cloud platform. The traffic control unit is used to control the data traffic uploaded by the device to the cloud platform to avoid network congestion caused by excessive data traffic or exceeding the service limit of the cloud platform. The access security protection unit includes firewalls, intrusion detection systems and other functions to prevent external network attacks and protect the security of the device during access to the cloud platform.

[0010] Furthermore, the data storage module includes a database management system, a data storage unit, the database management system and the data storage unit are connected through the data transmission module and the Internet of Things signal to facilitate real-time monitoring, a data indexing module and a storage security module. The database management system is used to store and manage the operation data of the explosion-proof equipment, including basic equipment information, operating parameters, fault records, etc. The data storage unit is divided into a real-time database and a historical database according to the data type and purpose. The real-time database is used to store the latest operation data for real-time monitoring; the historical database is used to store the equipment's operation history data for a long time for fault analysis and performance evaluation. The data indexing module establishes indexes for the data to improve the speed and efficiency of data query, and can quickly locate and retrieve the required data. The storage security module adopts security measures such as access control and data encryption to limit illegal access to the data storage area and protect the security and privacy of the data.

[0011] Furthermore, the data storage module also includes a data backup unit and a storage capacity expansion unit. The data backup unit and the data storage expansion unit are connected to the data backup unit through the data transmission module and the Internet of Things signal to periodically back up the stored data, and a combination of local backup and off-site backup is used to prevent data loss and ensure data reliability. The storage capacity expansion unit is used to automatically or manually expand the storage capacity as the equipment operating time increases and the amount of data increases to meet the needs of data storage.

[0012] Furthermore, the data analysis and processing module includes a data cleaning unit, a data analysis algorithm library module, a data visualization module and a decision support unit. The data cleaning unit, the data analysis algorithm library module, the data visualization module and the decision support unit are connected through the data transmission module and the Internet of Things signal. The data cleaning unit is used to clean the collected raw data, remove noise data, duplicate data and erroneous data, and improve data quality. The data analysis algorithm library includes statistical analysis algorithms, such as mean and variance calculations, which are used to analyze the basic statistical characteristics of equipment operating parameters; machine learning algorithms, such as cluster analysis and anomaly detection algorithms, which are used to discover abnormal patterns and potential faults in equipment operation; association rule mining algorithms are used to mine the correlation between equipment parameters. The data visualization module is used to display the analyzed data in intuitive forms such as charts and dashboards, so that operation and maintenance personnel can quickly understand the operating status of the equipment. The decision support unit is used to provide decision support for operation and maintenance personnel based on data analysis and fault diagnosis results.

[0013] Furthermore, the data analysis and processing module also includes a fault diagnosis unit and a performance evaluation module. The fault diagnosis unit and the performance evaluation module are connected through the data transmission module and the Internet of Things signal. The fault diagnosis unit is used to diagnose the fault of the explosion-proof equipment according to the data analysis results and the preset fault model, and determine the type, location and severity of the fault. The performance evaluation module evaluates the performance indicators of the equipment, such as the reliability, availability, energy efficiency, etc. of the equipment, through long-term analysis of the equipment operation data.

[0014] Furthermore, the user terminal module user interface design unit, terminal device adaptation module, data receiving module, remote control unit, alarm notification module, and user authority management unit are connected through the data transmission module and the Internet of Things signal. The user interface design unit is used to design a simple and intuitive operation interface for operation and maintenance personnel, so that they can access the system through the terminal device, view equipment information and monitor data. The terminal device adaptation module is used to ensure that the system can operate normally on different types of terminal devices and adapt to different operating systems and screen sizes. The data receiving module is used to receive processed and analyzed equipment data from the cloud platform. The remote control unit is used to remotely control explosion-proof equipment, such as remotely starting and stopping equipment, adjusting equipment operating parameters, etc. The alarm notification module can promptly remind operation and maintenance personnel through sound, vibration, push notification and other methods to ensure that faults can be handled in a timely manner. The user authority management unit is used to divide the authority of different users, such as administrators, operation and maintenance personnel, viewers, etc., to ensure that each user can only access and operate equipment and data within the scope of their authority.

[0015] Compared with the prior art, the present invention has the following beneficial effects: First, in the present invention, in the data acquisition module, the sensor unit comprehensively monitors the operating status of the explosion-proof equipment with a variety of sensors. For example, the temperature sensor focuses on monitoring the temperature and is not interfered by other irrelevant signals, ensuring timely detection of overheating problems, and complementing the anti-interference measures of fault command transmission. The signal conditioning unit amplifies and filters weak signals, removes electromagnetic noise in a targeted manner, ensures the quality of the collected signals, and lays the foundation for subsequent processing. In the data transmission module, the command noise reduction compensation unit suppresses electromagnetic noise of specific frequencies through band-stop filtering, performs frequency compensation to eliminate distortion, improves the anti-interference ability of fault command signals, ensures accurate transmission, and solves electromagnetic noise interference from multiple aspects from the source end and the transmission process; Secondly, in the present invention, the bias amplifier unit of the data transmission module plays a key role. It generates bias current to reduce the working state changes of circuit components affected by ambient temperature, improves the stability of the power enhancement circuit, avoids the distortion of the fault command signal amplifier, and ensures the accurate transmission of the early warning command through parallel LC resonance frequency selection. The communication protocol stack of the cloud platform access module supports reliable communication protocols, such as TCP / IP protocol to ensure the correct transmission and reception of data, and MQTT protocol to efficiently transmit data, which guarantees the signal transmission quality and stability from the protocol level, and jointly guarantees the reliability of data transmission with the bias amplifier unit, solving power-related problems in an all-round way. Third, in the present invention, the acquisition controller of the data acquisition module coordinates the sensor acquisition frequency and sequence and other parameters to optimize the acquisition process, indirectly affecting the signal gain effect. The appropriate acquisition frequency can avoid data processing difficulties and make signal transmission smoother. The command amplification gain automatic control circuit of the data transmission module automatically adjusts the fault command signal gain according to the actual transmission situation and signal characteristics, so that the signal can be appropriately amplified or attenuated under different conditions such as distance and environmental interference, ensuring that the signal is not too strong or too weak, achieving good transmission, reception and processing effects, improving system stability and reliability, and synergistically optimizing signal gain adjustment from the acquisition and transmission links; Fourthly, in the present invention, the cloud platform access module provides an adapter interface to facilitate data processing and analysis, while ensuring the security of equipment access. The data storage module manages various types of operating data and provides support for fault analysis, etc. The data analysis and processing module cleans data, analyzes faults and provides decision support. The user terminal module provides a simple interface and adapter equipment to realize data reception, remote control and alarm notification functions, and also performs user authority management. The modules cooperate with each other to comprehensively ensure the stable operation of the system, accurate transmission and processing of data, and safety and reliability, improve the overall performance and operation and maintenance efficiency, and provide all-round support for the operation, maintenance and monitoring of explosion-proof equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the connection structure of the overall system modules of the present invention; Figure 2This is a schematic diagram of the data transmission module connection structure in the present invention; Figure 4 This is a schematic diagram of the data acquisition module connection structure in the present invention; Figure 3 This is a schematic diagram of the connection structure of the cloud platform access module in the present invention; Figure 5 This is a schematic diagram of the data storage module connection structure in the present invention; Figure 6 This is a schematic diagram of the data analysis and processing module connection structure in the present invention; Figure 7 It is a schematic diagram of the connection structure of the user terminal module in the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] See also Figure 1-Figure 7 In an embodiment of the present invention, an explosion-proof equipment operation maintenance monitoring system based on an Internet of Things cloud platform includes a power supply module, an Internet of Things, a data acquisition module, a data transmission module, a data storage module, a pan-tilt access module, a user terminal module and a data analysis and processing module. The data acquisition module, the data storage module, the pan-tilt access module, the user terminal module and the data analysis and processing module are connected through the data transmission module and the Internet of Things signal, and the power supply module is used to supply power to the data acquisition module, the data transmission module, the data storage module, the pan-tilt access module, the user terminal module and the data analysis and processing module; The data transmission module includes a wired communication module, a wireless communication module, a communication protocol stack module and a data encryption unit. The wireless communication module and the wireless communication module are connected to the IoT signal. The wireless communication module is used to provide a stable and high-speed data transmission channel. It is suitable for occasions with large data volumes and high requirements for transmission stability. The wireless communication module is used for convenient connection in areas covered by wireless networks, which facilitates data transmission to the cloud platform IoT. The communication protocol stack module is used to ensure the correct transmission and reception of data in the network. It is suitable for communication between IoT devices and cloud platforms, and can efficiently transmit data. The data encryption unit is used to encrypt the transmitted data to prevent the data from being stolen or tampered with during transmission, and to ensure the security of the data. The signal connection between the modules is realized through the IoT, so that data can be efficiently transmitted and interacted, ensuring the integrity of the system. The power supply module provides stable power support for each key module to ensure the normal operation of the system without being affected by power fluctuations. In the data transmission module, the wired communication module and the wireless communication module are combined to provide a variety of transmission options, which can not only meet the scenarios with large data volume and high stability requirements, but also achieve convenient connection in the wireless network coverage area, greatly expanding the application scope and flexibility of the system. The communication protocol stack module ensures accurate data transmission and reception, guarantees the reliability and standardization of data transmission, and enables seamless connection and communication between different devices and cloud platforms. The data encryption unit protects data security, effectively prevents data from being stolen or tampered with, protects the key information of explosion-proof equipment operation, maintenance and monitoring, improves the security and confidentiality of the system, and lays a solid foundation for the stable, efficient and safe operation of the entire monitoring system.

[0019] See also Figure 1-Figure 3The data transmission module also includes a transmission buffer module and a communication status monitoring unit. The transmission buffer module and the communication status monitoring unit are connected through the wireless communication module and the Internet of Things signal. The transmission buffer module is used to temporarily store data and play a buffering role to avoid congestion and loss of data transmission. The communication status monitoring unit is used to monitor the connection status, signal strength, data transmission rate and other parameters of data transmission in real time. When a communication failure occurs, it can promptly alarm and try to restore communication. The data acquisition module includes a sensor unit, a data acquisition card module, a data cache unit and an acquisition controller. The sensor unit, the data acquisition card module, the data cache unit and the acquisition controller are connected through the data transmission module and the Internet of Things signal. The sensor unit is used to include a temperature sensor for monitoring the temperature of the explosion-proof equipment during operation to prevent the equipment from overheating and causing danger; a pressure sensor for measuring the internal pressure of the equipment to ensure that the pressure is within a safe range; a vibration sensor for detecting the vibration of the equipment during operation and promptly discovering abnormal vibration, which may indicate wear or failure of equipment components; a liquid level sensor for explosion-proof equipment with liquid media to monitor liquid level changes;Gas sensors detect the concentration of combustible and toxic gases in the surrounding environment to ensure safety. The data acquisition card module is used to convert the analog signals collected by the sensor into digital signals so that the data can be processed by other parts of the system. The data cache unit is used to temporarily store the collected data before data transmission to prevent data loss and ensure data integrity. The acquisition controller module is used to coordinate the data acquisition frequency, acquisition sequence and other parameters of the sensor to ensure the orderliness and accuracy of data acquisition. In the data transmission module, the transmission buffer module effectively avoids congestion and loss of data transmission. By temporarily storing data, it plays a key buffering role in the process of data sending and receiving, ensuring the continuity and stability of data transmission. The communication status monitoring unit monitors the key parameters of data transmission in real time, such as connection status, signal strength and transmission rate. Once a communication failure occurs, it can promptly alarm and try to restore communication, greatly improving the reliability and fault response capabilities of the system. In terms of data acquisition modules, sensors The unit covers a variety of types of sensors, including temperature, pressure, vibration, liquid level and gas sensors, etc., which comprehensively and accurately monitor all key aspects of the operation of explosion-proof equipment, from temperature anomaly warning to pressure safety range guarantee, from potential failure of vibration detection equipment components to liquid level and gas environment monitoring, providing all-round data support for the safe operation of the equipment. The data acquisition card module converts analog signals into digital signals, so that the data can be efficiently processed by other parts of the system, realizing the digital conversion of data and improving the versatility. The data cache unit echoes the transmission buffer of the data transmission module, further ensuring the integrity of the data in the collection link and preventing data loss. The acquisition controller module coordinates the working parameters of the sensor to ensure the orderliness and accuracy of data collection, making the entire data collection process more scientific and efficient, and providing a reliable raw data basis for accurate analysis and decision-making of the system. These advantages jointly promote the efficient, stable and accurate operation of the entire explosion-proof equipment operation, maintenance and monitoring system. ;

[0020] See also Figure 3-Figure 4The data acquisition module also includes a signal conditioning unit and a multiplexer module. The signal conditioning unit and the multiplexer module are connected to the IoT signal through the data transmission module. The data acquisition module also includes a signal conditioning unit and a multiplexer module. The signal conditioning unit is used to amplify and filter the weak signals transmitted by the sensor to improve the signal quality and reduce noise interference. The multiplexer module can switch the signal channels of different sensors so that multiple sensors can share a data acquisition card to improve resource utilization efficiency. The cloud platform access module includes a cloud platform interface unit, a device authentication module, a data protocol adapter module, a traffic monitoring unit and an access security unit. The cloud platform interface unit is used to provide an adapter interface with various mainstream cloud platforms such as Alibaba Cloud, Tencent Cloud, and Huawei Cloud, so that the system can upload data to the cloud platform for storage and analysis. The device authentication module uses digital certificates, user names / Password and other authentication methods ensure that only authorized explosion-proof equipment can access the cloud platform to prevent illegal equipment from accessing. The data format conversion unit is used to convert the data format collected and transmitted from the device into a format that the cloud platform can recognize and process. The access protocol adapter module is used to adapt different access protocols, such as HTTP, HTTPS, CoAP, etc., to ensure that the data can be successfully uploaded to the cloud platform. The flow control unit is used to control the data flow uploaded by the device to the cloud platform to avoid network congestion caused by excessive data flow or exceeding the service limit of the cloud platform. The access security protection unit includes firewalls, intrusion detection systems and other functions to prevent external network attacks and protect the security of the device during access to the cloud platform. In the data acquisition module, the signal conditioning unit significantly improves the signal quality and effectively reduces noise interference by amplifying and filtering the weak signal of the sensor, providing a more accurate and reliable signal basis for subsequent data processing. The existence of the multiplexer module enables multiple sensors to share a data acquisition card, greatly improving resource utilization efficiency, reducing system costs and optimizing hardware configuration. In terms of cloud platform access modules, the cloud platform interface unit provides integration with mainstream cloud platforms. The adapter interface facilitates data upload, storage and analysis, and fully utilizes the powerful functions of the cloud platform. The device authentication module adopts multiple authentication methods to strictly ensure that only authorized devices can access, effectively preventing the intrusion of illegal devices and ensuring the security of the system and the legitimacy of the data. The data format conversion unit can convert the collected data into a format that can be recognized and processed by the cloud platform, ensuring the compatibility and availability of the data. The access protocol adapter module adapts to multiple protocols to ensure that the data is successfully uploaded to the cloud platform, enhancing the versatility and adaptability of the system. The traffic control unit avoids network problems caused by excessive data traffic, ensuring the stability of data transmission and the normal operation of cloud platform services. The access security protection unit relies on functions such as firewalls and intrusion detection systems to effectively prevent external network attacks and build a solid security line for the process of device access to the cloud platform.The overall reliability, security and operating efficiency of the system have been improved.

[0021] See also Figure 5-Figure 6The data storage module includes a database management system, a data storage unit, and the database management system and the data storage unit are connected through the data transmission module and the Internet of Things signal to facilitate real-time monitoring, a data index module and a storage security module. The database management system is used to store and manage the operation data of the explosion-proof equipment, including basic equipment information, operating parameters, fault records, etc. The data storage unit is divided into a real-time database and a historical database according to the data type and purpose. The real-time database is used to store the latest operation data for real-time monitoring; the historical database is used to store the operation history data of the equipment for a long time for fault analysis and performance evaluation. The data index module establishes an index for the data to improve the speed and efficiency of data query, and can quickly locate and retrieve the required The storage security module adopts access control, data encryption and other security measures to limit illegal access to the data storage area and protect the security and privacy of the data. The data storage module also includes a data backup unit and a storage capacity expansion unit. The data backup unit and the data storage expansion unit are connected through the data transmission module and the Internet of Things signal. The data backup unit is used to regularly back up the stored data, and a combination of local backup and off-site backup is used to prevent data loss and ensure data reliability. The storage capacity expansion unit is used to automatically or manually expand the storage capacity as the device operating time increases and the amount of data increases to meet the needs of data storage. The data analysis and processing module includes a data cleaning unit and a data analysis algorithm library module , data visualization module and decision support unit, data cleaning unit, data analysis algorithm library module, data visualization module and decision support unit are connected through data transmission module and IoT signal. The data cleaning unit is used to clean the collected raw data, remove noise data, duplicate data and erroneous data, and improve data quality. The data analysis algorithm library includes statistical analysis algorithms, such as mean and variance calculation, which are used to analyze the basic statistical characteristics of equipment operation parameters; machine learning algorithms, such as cluster analysis and anomaly detection algorithms, are used to discover abnormal patterns and potential faults in equipment operation; association rule mining algorithms are used to mine the correlation between equipment parameters. The data visualization module is used to display the analyzed data in intuitive forms such as charts and dashboards. It is displayed to facilitate operation and maintenance personnel to quickly understand the operating status of the equipment. The decision support unit is used to provide decision support for operation and maintenance personnel based on data analysis and fault diagnosis results. The data analysis and processing module also includes a fault diagnosis unit and a performance evaluation module. The fault diagnosis unit and the performance evaluation module are connected through the data transmission module and the Internet of Things signal. The fault diagnosis unit is used to diagnose the explosion-proof equipment according to the data analysis results and the preset fault model, and determine the fault type, location and severity. The performance evaluation module evaluates the performance indicators of the equipment, such as equipment reliability, availability, energy efficiency, etc., through long-term analysis of the equipment operation data. In the data storage module, the database management system comprehensively stores and manages various key operation data of the explosion-proof equipment.It provides a solid data foundation for the full life cycle management of the equipment. The data storage unit realizes real-time monitoring of the latest operating data and effective preservation of long-term operating historical data through the division of real-time database and historical database, which respectively meets the needs of instant monitoring and in-depth analysis, and provides rich data resources for fault analysis and performance evaluation. The data indexing module improves the speed and efficiency of data query, allowing operation and maintenance personnel to quickly locate and retrieve required data, greatly improving work efficiency. The storage security module effectively protects data security and privacy through access control and data encryption and other measures to prevent data leakage and illegal access. The data backup unit adopts a combination of local and remote backup methods to ensure data reliability and effectively prevent data loss even in the face of emergencies. The storage capacity expansion unit can automatically or manually expand according to the equipment operation time and data volume growth, meeting the growing data storage needs and ensuring the sustainability of the system. The data analysis and processing module also performs well. The data cleaning unit removes noise, duplication and errors in the original data. Data, significantly improved the data quality, laying the foundation for subsequent accurate analysis. The data analysis algorithm library covers a variety of advanced algorithms. Statistical analysis algorithms are used to analyze basic statistical features. Machine learning algorithms can discover abnormal patterns and potential faults. Association rule mining algorithms reveal the inherent connection between equipment parameters, comprehensively improving the in-depth understanding of equipment operation status and fault prediction capabilities. The data visualization module displays complex data in the form of intuitive charts and dashboards, which is convenient for operation and maintenance personnel to quickly and intuitively understand the equipment operation status, greatly improving the efficiency and accuracy of information acquisition. The decision support unit provides decision support for operation and maintenance personnel based on data analysis and fault diagnosis results, helping them to formulate scientific and reasonable maintenance plans and strategies. The fault diagnosis unit can accurately determine the type, location and severity of the fault, providing key guidance for rapid repair. The performance evaluation module evaluates the reliability, availability, energy efficiency and other performance indicators of the equipment through long-term data analysis, providing a strong basis for the optimization and upgrading of the equipment, and overall improving the scientificity, efficiency and intelligence of the operation and maintenance of explosion-proof equipment.

[0022] See also Figure 7, the user terminal module user interface design unit, terminal device adaptation module, data receiving module, remote control unit, alarm notification module, user authority management unit are connected through the data transmission module and the Internet of Things signal. The user interface design unit is used to design a simple and intuitive operation interface for operation and maintenance personnel, so that they can access the system through terminal devices, view equipment information and monitor data. The terminal device adaptation module is used to ensure that the system can run normally on different types of terminal devices and adapt to different operating systems and screen sizes. The data receiving module is used to receive processed and analyzed equipment data from the cloud platform. The remote control unit is used to remotely control explosion-proof equipment, such as remotely starting and stopping equipment, adjusting equipment operating parameters, etc. The alarm notification module can promptly remind operation and maintenance personnel through sound, vibration, push notification and other methods to ensure that faults can be handled in time. The user authority management unit is used to divide the authority of different users, such as administrators, operation and maintenance personnel, viewing personnel, etc., to ensure that each user can only access and operate the equipment and data within their authority. The user interface design unit greatly facilitates the operation and maintenance personnel to access the system through various terminal devices by creating a simple and intuitive operation interface, and easily view equipment information and monitoring data, reducing the operation The threshold is increased, which improves work efficiency. The terminal device adaptation module ensures the normal operation of the system on different types of terminal devices. No matter what operating system and screen size, it can be perfectly adapted, so that operation and maintenance personnel can use the equipment at hand to work anytime and anywhere, enhancing the flexibility and availability of the system. The data receiving module can obtain the processed and analyzed equipment data from the cloud platform in a timely manner, so that the operation and maintenance personnel can grasp the latest status of the equipment in real time, and provide data support for timely decision-making. The remote control unit gives the operation and maintenance personnel powerful remote operation capabilities, which can remotely start and stop the equipment and adjust the operating parameters, etc. In an emergency or when no on-site operation is required, it greatly saves time and labor costs, and improves the timeliness and convenience of maintenance. The alarm notification module promptly reminds the operation and maintenance personnel of equipment failures in a variety of ways to ensure that the failure can be handled as soon as possible, effectively avoiding delays and deterioration of the failure. The user authority management unit divides the authority of different users in detail, ensuring the security of the system and the confidentiality of data, so that users of different roles can only operate within their authority, avoiding misoperation and illegal access, maintaining the stability of the system and the security of data, and overall improving the management level and response capability of the operation, maintenance and monitoring of explosion-proof equipment.

[0023] The working principle of the present invention is as follows: in solving the problem of electromagnetic noise interference, the data acquisition module and the data transmission module play a key role in this system. The sensor unit in the data acquisition module comprehensively monitors the operating status of the explosion-proof equipment through a variety of sensors, and obtains accurate data from the source. Each sensor focuses on monitoring different physical quantities, reducing the possibility of misjudgment caused by electromagnetic noise interference on a single signal. For example, the temperature sensor can accurately monitor the temperature of the equipment and is not interfered by irrelevant signals, ensuring timely detection of overheating problems, and complementing the anti-interference measures in the transmission of fault instructions. The signal conditioning unit amplifies and filters the weak signal from the sensor, amplifying the signal. The signal improves the signal-to-noise ratio, making it easier to identify useful signals in subsequent processing; the filtering operation can specifically remove noise in a specific frequency range, especially suppress the electromagnetic noise generated by the operation of explosion-proof equipment, ensuring the quality of the sensor acquisition signal and laying the foundation for subsequent accurate data transmission and analysis. The command noise reduction compensation unit (similar functional module) in the data transmission module performs band-stop filtering on the fault command signal, accurately suppresses the specific frequency of electromagnetic noise, ensures the accuracy of the fault command signal through precise filtering, performs frequency compensation to reduce frequency changes and improve phase noise performance, eliminates transmission distortion, improves the anti-interference ability of the fault command signal, and ensures its accurate transmission; The data transmission module and the cloud platform access module jointly provide solutions to the power stability and distortion problems of this system. The bias power amplifier unit of the data transmission module generates bias current to reduce the working state changes of circuit components affected by ambient temperature, thereby improving the stability of the power enhancement circuit. When the fault command signal is processed for power enhancement, the power amplifier distortion problem is effectively avoided. At the same time, the fault command signal is selected by parallel LC resonance to ensure accurate transmission of the early warning command, guarantee the quality and accuracy of the signal during the power enhancement process, and reliably transmit the fault command to the receiving end, thereby reducing misjudgment or reception failure caused by power instability and distortion. The communication protocol stack of the cloud platform access module supports a variety of reliable communication protocols, such as TCP / IP protocol to ensure correct data transmission and reception, and MQTT protocol to efficiently transmit data. These protocols ensure the quality and stability of signal transmission during data transmission, indirectly reduce the signal distortion or loss caused by improper transmission protocol, and jointly ensure the reliability of data transmission including fault command signals with modules such as the bias power amplifier unit. In terms of signal gain adjustment, the data acquisition module and the data transmission module work together. The acquisition controller of the data acquisition module coordinates the data acquisition frequency and sequence of the sensor to ensure the orderliness and accuracy of the acquisition. Although the automatic adjustment of signal gain is not directly mentioned, the reasonable acquisition frequency and sequence arrangement optimizes the data acquisition process, provides better basic conditions for subsequent signal processing and transmission, and indirectly affects the signal gain effect. For example, a suitable acquisition frequency can avoid data processing difficulties, make signal transmission smoother, and help achieve better signal transmission, reception and processing effects. The command amplification gain automatic control circuit of the data transmission module (assuming that there is a similar function) automatically adjusts the fault command signal gain according to the actual transmission situation and signal characteristics, so that the signal is appropriately amplified or attenuated under different conditions (such as different distances and environmental interference levels), ensuring that the signal is neither too strong to cause interference nor too weak to cause inaccurate reception, achieving better transmission, reception and processing effects of fault commands, and improving the overall stability and reliability of the system; The comprehensive solution and synergy of this system are reflected in multiple modules. The cloud platform interface unit of the cloud platform access module provides an adapter interface with the mainstream cloud platform, which facilitates data upload for storage and analysis, so that the collected data (including processed fault command signals, etc.) can be further processed and managed on the cloud platform, and the cloud platform resources and computing power are used to deeply analyze the application data, providing comprehensive support for solving various problems in the operation and maintenance of explosion-proof equipment. The equipment authentication module and access security protection unit ensure that only authorized devices access the cloud platform, prevent illegal access and external network attacks, ensure system security and data confidentiality, provide a safe environment for accurate data transmission and processing, and indirectly improve system stability and reliability. The database management system (DBM The data storage unit (real-time and historical database) is used to store and manage equipment operation data, providing rich resources for data analysis and processing. Through data analysis, we can better understand the equipment operation status and fault patterns, accurately determine the fault type, location and severity, and provide data support for solving signal transmission and equipment operation problems. The data index module, backup unit and capacity expansion unit improve the speed and efficiency of data query, ensure reliability and meet growth needs, ensure efficient and sustainable data storage management, provide a reliable data basis for fault diagnosis and performance evaluation, and help solve signal transmission and other problems. The data cleaning unit of the data analysis and processing module removes noise, duplication and erroneous data from the original data, improves data quality, and provides support for subsequent analysis. Better foundation, reduce misjudgment and erroneous analysis, accurately judge the equipment operation status and fault conditions, and take correct measures for signal transmission problems. The data analysis algorithm library and fault diagnosis unit use a variety of algorithms to analyze equipment operation parameters, find abnormalities and potential faults for accurate diagnosis, predict and find problems that may affect signal transmission and equipment operation in advance and deal with them in time to avoid problems from worsening and affecting signal transmission accuracy and stability. The data visualization module and decision support unit intuitively display the analysis results to provide decision support for operation and maintenance personnel, so that operation and maintenance personnel can clearly understand the equipment operation and signal transmission conditions, adjust parameters and make plans according to the results, ensure the normal operation of equipment and accurate signal transmission, and improve the overall stability and reliability of the system. User terminal module The user interface (UI) design unit provides operation and maintenance personnel with a simple and intuitive operation interface, which facilitates the acquisition of equipment operation and signal transmission information, timely discovers and handles problems, improves operation and maintenance efficiency, and indirectly ensures stable system operation and accurate signal processing. The terminal equipment adaptation module ensures the normal operation of the system on different terminal devices, improves availability and convenience, and enables operation and maintenance personnel to monitor the management system anytime and anywhere, and handle signal transmission and other related issues in a timely manner to ensure the real-time and reliability of the system. The data receiving module, remote control unit and alarm notification module respectively realize data reception, remote control equipment and timely reminder of equipment abnormal faults, so that operation and maintenance personnel can obtain information in a timely manner and take measures, such as adjusting parameters through remote control to optimize the signal transmission environment and ensure timely handling of faults.Improve the system response speed and processing capacity, ensure the stability and reliability of signal transmission, and the user authority management unit divides the rights of different users to ensure system security and reasonable data access, prevent system failures and data problems caused by user misoperation or illegal operation, and provide a safe management environment for stable system operation and accurate signal transmission.

Claims

1. An explosion-proof equipment operation and maintenance monitoring system based on the Internet of Things cloud platform, characterized in that: It includes a power supply module, an Internet of Things, a data acquisition module, a data transmission module, a data storage module, a pan-tilt access module, a user terminal module and a data analysis and processing module. The data acquisition module, the data storage module, the pan-tilt access module, the user terminal module and the data analysis and processing module are connected through the data transmission module and the Internet of Things signal. The power supply module is used to supply power to the data acquisition module, the data transmission module, the data storage module, the pan-tilt access module, the user terminal module and the data analysis and processing module; The data transmission module includes a wired communication module, a wireless communication module, a communication protocol stack module and a data encryption unit, and the wireless communication module is connected to the wireless communication module and the Internet of Things signal.

2. According to claim 1, an explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform is characterized in that: The data transmission module also includes a transmission buffer module and a communication status monitoring unit, and the transmission buffer module and the communication status monitoring unit are connected via a wireless communication module and an Internet of Things signal.

3. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 1 is characterized in that: The data acquisition module includes a sensor unit, a data acquisition card module, a data cache unit and an acquisition controller, and the sensor unit, the data acquisition card module, the data cache unit and the acquisition controller are connected through a data transmission module and an Internet of Things signal.

4. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 1 is characterized in that: The data acquisition module also includes a signal conditioning unit and a multiplexer module, and the signal conditioning unit and the multiplexer module are connected through the data transmission module and the Internet of Things signal.

5. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 1 is characterized in that: The cloud platform access module includes a cloud platform interface unit, a device authentication module, a data protocol adaptation module, a traffic monitoring unit and an access security unit. The cloud platform interface unit is used to provide an adaptation interface with various mainstream cloud platforms such as Alibaba Cloud, Tencent Cloud, and Huawei Cloud, so that the system can upload data to the cloud platform for storage and analysis. The device authentication module adopts multiple authentication methods such as digital certificates and username / password.

6. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 1 is characterized in that: The data storage module includes a database management system and a data storage unit, and the database management system and the data storage unit are connected via a data transmission module and an Internet of Things signal.

7. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 6 is characterized in that: The data storage module also includes a data backup unit and a storage capacity expansion unit, and the data backup unit and the data storage capacity expansion unit are connected via a data transmission module and an Internet of Things signal.

8. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 1 is characterized in that: The data analysis and processing module includes a data cleaning unit, a data analysis algorithm library module, a data visualization module and a decision support unit. The data cleaning unit, the data analysis algorithm library module, the data visualization module and the decision support unit are connected through a data transmission module and an Internet of Things signal.

9. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 8 is characterized in that: The data analysis and processing module also includes a fault diagnosis unit and a performance evaluation module, and the fault diagnosis unit and the performance evaluation module are connected via a data transmission module and an Internet of Things signal.

10. The explosion-proof equipment operation, maintenance and monitoring system based on the Internet of Things cloud platform according to claim 1 is characterized in that: The user terminal module, the user interface design unit, the terminal device adaptation module, the data receiving module, the remote control unit, the alarm notification module, and the user authority management unit are connected via a data transmission module and an Internet of Things signal.

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