An intelligent detection system and method between electronic devices

Abstract

The application discloses an electronic room intelligent detection system and method, and relates to the technical field of thermal power generation.The system comprises a temperature and humidity sensor, a device state acquisition module, a wireless communication module, a data processing unit, an alarm module and an electronic record module.The temperature and humidity sensor collects electronic room temperature and humidity data in real time.The device state acquisition module acquires device operation states, indicator light states and alarm signals.The collected data is transmitted to the data processing unit through the wireless communication module.The data processing unit determines whether the data exceeds a preset threshold or whether the device state is abnormal.When the device state is abnormal, the alarm module issues an alarm.The electronic record module automatically saves an electronic record containing abnormal data, a time stamp and a location.The application solves the problems of traditional manual inspection, such as strong intermittence, easy missed detection and misjudgment, inability to automatically issue a warning and non-standard record, and realizes continuous real-time monitoring of an electronic room environment and a device state, automatic abnormal warning and data standard traceability.

Description

Technical Field

[0001] This application relates to the field of thermal power generation technology, and in particular to an intelligent detection system and method for electronic components. Background Technology

[0002] As the control center and nerve core of a thermal power plant, the electronics room houses all core electronic equipment, including the Distributed Control System (DCS), Digital Electro-Hydraulic Control System (DEH), and Emergency Trip System (ETS). Its operational safety directly determines the operational stability of the unit, and electronic room inspections are the first line of defense in preventing equipment accidents and ensuring production safety.

[0003] Currently, temperature and humidity monitoring in the electronics rooms of thermal power plants mainly relies on on-site testing by inspection personnel carrying specialized measuring instruments. Equipment operating status, indicator light status, and alarm information are all checked manually by visual inspection. After the inspection, staff must manually record the test data and equipment status in a paper inspection log to create an archive. This traditional inspection method can only achieve intermittent and periodic checks, lacking real-time monitoring of temperature, humidity, and equipment status in the electronics room. It cannot continuously grasp environmental parameters and equipment operating conditions, and the inspection process is entirely dependent on manual labor, making it susceptible to the influence of personnel's sense of responsibility and work status, resulting in problems such as missed inspections, misjudgments, non-standard recording, and inaccurate data. At the same time, it cannot achieve automatic early warning of abnormal situations, making it difficult to address potential equipment hazards in advance, and failing to meet the high reliability requirements of electronic equipment for operating environment and status. Summary of the Invention

[0004] This application provides an intelligent inspection system and method for electronic equipment rooms. It can solve the problems in related technologies where traditional manual inspection can only achieve intermittent inspections, is prone to missed inspections and misjudgments due to complete reliance on manual labor, lacks automatic early warning, and has inaccurate and non-standard records.

[0005] According to a first aspect of this application, an intelligent detection system for electronic inter-devices is provided, comprising:

[0006] Temperature and humidity sensors are used to collect temperature and humidity data in the electronics room in real time; The equipment status acquisition module is used to acquire the operating status, indicator light status, and alarm signals of the equipment in the electronics room; A wireless communication module is used to wirelessly transmit the data collected by the temperature and humidity sensor and the device status acquisition module. The data processing unit is used to receive data uploaded through the wireless communication module and determine whether the collected data exceeds a preset threshold range or whether the device status is abnormal. The alarm module is used to issue an alarm when the data processing unit determines that the data exceeds the threshold or the device status is abnormal. The electronic recording module is used to automatically save an electronic record containing abnormal data, timestamps, and location when the data processing unit determines that the data exceeds the threshold or the device status is abnormal.

[0007] Optionally, the wireless communication module is a LoRa communication module or a WiFi communication module.

[0008] Optionally, the system further includes a data gateway, to which the wireless communication module transmits data, which is then sent to the data processing unit.

[0009] Optionally, the alarms issued by the alarm module include local audible and visual alarms, as well as alarm information pushed to the monitoring platform and mobile terminal.

[0010] Optionally, the system further includes a monitoring platform connected to the data processing unit, which is used to display the received data and status in real time, perform historical queries, and export data.

[0011] Optionally, the data processing unit is also used to parse, filter, and standardize the received data.

[0012] According to a second aspect of this application, an intelligent detection method for electrons is provided, comprising: Real-time acquisition of temperature and humidity data in the electronics room, as well as acquisition of equipment operating status, indicator light status, and alarm signals; The collected data is uploaded in real time via wireless means; Determine whether the uploaded data exceeds the preset temperature or humidity thresholds, or determine whether the device status is abnormal; When the judgment result exceeds the threshold or the status is abnormal, an alarm is automatically triggered and an electronic record with a timestamp is generated and saved.

[0013] Optionally, before wirelessly uploading the collected data, the process may include parsing, filtering, and standardizing the data.

[0014] Optionally, the automatic alarm triggering includes: Trigger local audible and visual alarms and push alarm information to the monitoring platform and mobile devices.

[0015] Optional, also includes: The steps involve using a monitoring platform to display monitoring data and status in real time, query historical data, and export data.

[0016] This application achieves the technical benefits of continuous real-time monitoring of the electronic room environment and equipment status, as well as equipment operating status, indicator light status, and alarm signals, by employing temperature and humidity sensors and equipment status acquisition modules to collect real-time temperature and humidity data, equipment operating status, indicator light status, and alarm signals. The collected data is wirelessly transmitted to the data processing unit via a wireless communication module for threshold and status anomaly judgment. An alarm module issues an alarm when an anomaly occurs, and an electronic recording module automatically saves an electronic record containing anomaly data, timestamp, and location. Therefore, it can solve the problems in related technologies where traditional manual inspections can only achieve intermittent inspections, are prone to missed inspections and misjudgments due to complete reliance on manual labor, lack of automatic early warning, and non-standard and inaccurate records. It achieves the technical effects of continuous real-time monitoring of the electronic room environment and equipment status, automatic early warning of anomalies, and standardized and traceable data.

[0017] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0018] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the structure of an intelligent detection system for electronic devices provided in an embodiment of this application; Figure 2 This is a flowchart illustrating an intelligent detection method for electronic components provided in an embodiment of this application. Detailed Implementation

[0020] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0021] The following description, with reference to the accompanying drawings, describes an intelligent electronic detection system and method according to embodiments of this application.

[0022] Figure 1 This is a schematic diagram of the structure of an intelligent electronic detection system provided in an embodiment of this application.

[0023] like Figure 1 As shown, the system includes: Temperature and humidity sensor 11 is used to collect temperature and humidity data in the electronics room in real time; The equipment status acquisition module 12 is used to acquire the operating status, indicator light status and alarm signals of the equipment in the electronics room. The wireless communication module 13 is used to wirelessly transmit the data collected by the temperature and humidity sensor 11 and the device status acquisition module 12. The data processing unit 14 is used to receive data uploaded through the wireless communication module 13 and determine whether the collected data exceeds a preset threshold range or whether the device status is abnormal. The alarm module 15 is used to issue an alarm when the data processing unit 14 determines that the data exceeds the threshold or the device status is abnormal. The electronic recording module 16 is used to automatically save an electronic record containing abnormal data, timestamps and location when the data processing unit 14 determines that the data exceeds the threshold or the device status is abnormal.

[0024] In this embodiment, the intelligent detection system for electronic rooms consists of a temperature and humidity sensor 11, an equipment status acquisition module 12, a wireless communication module 13, a data processing unit 14, an alarm module 15, and an electronic recording module 16.

[0025] The temperature and humidity sensor 11 uses industrial-grade high-precision components, adapting to the complex electromagnetic environment of the electronics room in a thermal power plant. It can operate stably over a wide temperature range and has high accuracy in temperature and humidity measurement. The sensor is distributed in multiple points according to the spatial layout of the electronics room, covering areas prone to temperature and humidity anomalies, such as gaps between cabinets, equipment heat dissipation vents, and corners. It continuously collects ambient temperature and humidity data at a fixed sampling frequency to ensure the comprehensiveness and real-time nature of the data.

[0026] The equipment status acquisition module 12 connects to the signal output terminal of the core electronic equipment in the electronics room, enabling direct reading of the equipment's operating status parameters. Simultaneously, it captures the on / off and flashing states of various indicator lights on the equipment panel, as well as the equipment's built-in alarm signal output, through an optical acquisition unit. The module possesses multi-channel parallel acquisition capabilities, allowing it to simultaneously connect to multiple electronic devices of different models without requiring large-scale modifications to the existing equipment, thus ensuring the operational independence of the original system.

[0027] The wireless communication module 13 supports multiple wireless transmission protocols and can select the optimal transmission method based on the building structure and signal coverage of the electronics room, achieving low-latency and high-reliability transmission of collected data. The module has a built-in signal enhancement unit that can penetrate metal cabinets and walls in the electronics room, avoiding data loss caused by signal obstruction. It also has a data caching function, which can temporarily store collected data when the signal is interrupted and automatically retransmit it after the signal is restored.

[0028] The data processing unit 14 receives all the collected data uploaded by the wireless communication module 13. It first preprocesses the data to remove interference noise, and then compares the processed data with the preset temperature and humidity threshold range and normal equipment status parameters. When the detected value exceeds the threshold or the status is inconsistent, it is determined to be an abnormal situation.

[0029] The alarm module 15 is linked with the data processing unit 14. Upon receiving an anomaly detection signal, it immediately activates the alarm mechanism and issues a warning via a local audio-visual device to remind on-site personnel to handle the situation promptly. The electronic recording module 16 automatically triggers recording when an anomaly is detected. It integrates and stores the anomaly data, a timestamp accurate to the second, and location information. The recorded data uses an immutable storage format.

[0030] This system enables real-time monitoring of the environment and equipment status in the electronics room, replacing traditional manual inspections, reducing human error and missed detections, and providing timely alarms for anomalies and standardized, traceable records, thereby improving the safety and reliability of the electronics room operation.

[0031] Compared with related technologies, this embodiment includes a temperature and humidity sensor 11 for real-time acquisition of temperature and humidity data in the electronics room; a device status acquisition module 12 for acquiring the operating status, indicator light status, and alarm signals of the devices in the electronics room; a wireless communication module 13 for wirelessly transmitting the data acquired by the temperature and humidity sensor 11 and the device status acquisition module 12; a data processing unit 14 for receiving data uploaded through the wireless communication module 13 and determining whether the acquired data exceeds a preset threshold range or whether the device status is abnormal; an alarm module 15 for issuing an alarm when the data processing unit 14 determines that the data exceeds the threshold or the device status is abnormal; and an electronic recording module 16 for automatically saving an electronic record containing abnormal data, a timestamp, and location when the data processing unit 14 determines that the data exceeds the threshold or the device status is abnormal. This solves the problems in related technologies where traditional manual inspections can only achieve intermittent checks, are prone to missed inspections and misjudgments due to complete reliance on manual labor, lack of automatic early warning, and non-standard and inaccurate recording. It achieves the technical effects of continuous real-time monitoring of the electronics room environment and device status, automatic early warning of anomalies, and standardized and traceable data.

[0032] Optionally, the wireless communication module 13 is a LoRa communication module or a WiFi communication module.

[0033] In this embodiment, the wireless communication module 13 specifically adopts a LoRa communication module or a WiFi communication module. Both communication technologies are mature industrial-grade solutions that can adapt to different field deployment conditions and communication needs in the electronics room of a thermal power plant.

[0034] The LoRa communication module boasts core characteristics such as long-range operation, low power consumption, and strong anti-interference capabilities. Its wireless signal can effectively penetrate metal cabinets, concrete walls, and dense cable trays within electronic storage areas, achieving stable data transmission within the coverage area of ​​a single node. Employing spread spectrum modulation technology, the module exhibits exceptional suppression of various industrial interference signals in the complex electromagnetic environment of power plants, preventing data packet loss or transmission errors caused by electromagnetic interference. Furthermore, the LoRa communication module has extremely low standby power consumption, allowing it to operate in a low-power state for extended periods, making it suitable for deployment at edge data acquisition nodes where power supply is limited or requires battery power.

[0035] The WiFi communication module boasts advantages such as high transmission speed and convenient deployment, enabling rapid integration with existing industrial WiFi networks in the electronics room without the need for a dedicated communication base station. This module supports high-speed data transmission, meeting the real-time uploading requirements of large-capacity device status data, while also being compatible with mainstream network communication protocols, allowing for seamless integration with the data processing unit 14. The WiFi communication module has low hardware costs and a simple installation and debugging process, making it suitable for use in electronics room areas with good network coverage and proximity to the data processing unit 14.

[0036] The system can flexibly select either LoRa or WiFi communication modules based on the spatial distribution of the electronic room, building structure, and existing network infrastructure, without requiring adjustments to the overall system architecture. Both modules have built-in data verification and automatic retransmission mechanisms to ensure the integrity of the collected data and the reliability of the transmission.

[0037] By adopting LoRa or WiFi communication modules, the system meets both the requirements for long-distance and high-speed transmission, improves its adaptability to different field environments, and ensures the stability and reliability of data transmission.

[0038] Optionally, the system further includes a data gateway, through which the wireless communication module 13 transmits data to the data gateway, and then the data gateway sends the data to the data processing unit 14.

[0039] In this embodiment, the data gateway serves as the core relay node between the wireless communication module 13 and the data processing unit 14, playing a crucial role in multi-source data aggregation, protocol conversion, and reliable forwarding. Various types of data collected by the wireless communication module 13 are first uniformly transmitted to the data gateway. After standardization processing by the gateway, the data is then centrally sent to the data processing unit 14 for subsequent analysis and judgment.

[0040] The data gateway adopts an industrial-grade embedded hardware design, featuring wide-temperature operation, resistance to electromagnetic interference, and dust and moisture resistance, enabling it to operate stably for extended periods in the complex industrial environment of a thermal power plant's electronics room. The gateway incorporates a multi-protocol parsing engine, simultaneously compatible with both LoRa and WiFi wireless communication protocols. It can receive data uploaded by different types of wireless communication modules, achieving unified aggregation of data from distributed collection nodes without the need to build separate transmission links for different communication methods.

[0041] The data gateway possesses preliminary data preprocessing capabilities, enabling it to format received raw data, remove duplicate data, and filter invalid data, eliminating noise interference generated during transmission and significantly reducing the computational load on the subsequent data processing unit 14. Simultaneously, the gateway has a built-in large-capacity local storage unit. When the backend data processing unit 14 experiences temporary overload or a brief interruption in the transmission link, it can automatically cache all data to be forwarded and retransmit it in chronological order after the link is restored, ensuring the continuity and integrity of data transmission.

[0042] The data gateway supports distributed deployment, allowing for flexible configuration of the number of gateways and coverage based on the spatial distribution of electronic storage areas and the number of data collection nodes. Each gateway can connect to dozens of front-end data collection modules, effectively expanding the system's monitoring scale. Furthermore, the gateway features network isolation capabilities, logically isolating the front-end data collection network from the back-end processing network to block external network attack paths and ensure system security.

[0043] By adding a data gateway, unified aggregation and standardized forwarding of multi-source data were achieved, improving the system's scalability and data transmission reliability, while reducing the computational burden on the backend processing unit and enhancing the system's network security protection capabilities.

[0044] Optionally, the alarms issued by the alarm module 15 include local audible and visual alarms, and alarm information pushed to the monitoring platform and mobile terminal.

[0045] In this embodiment, the alarm module 15 adopts a multi-dimensional collaborative alarm mechanism. After receiving the abnormal judgment signal from the data processing unit 14, it simultaneously triggers local audible and visual alarms and remote alarm push, realizing comprehensive alarm coverage at the site and remote locations, and ensuring that maintenance personnel in different positions can obtain abnormal information as soon as possible.

[0046] Local audible and visual alarm devices are deployed in prominent and easily noticeable locations such as the entrance to the electronics room and around the core server rack cluster. They utilize a combination of high-brightness LED warning lights and industrial-grade buzzers. The warning lights display different colors depending on the severity of the anomaly: a solid yellow light indicates a normal warning, while a flashing red light indicates an emergency alarm. The buzzer's frequency and volume also adjust synchronously with the severity of the anomaly. These local audible and visual alarms directly alert on-site personnel working in the electronics room or inspecting the surrounding area, enabling them to quickly locate the approximate area where the anomaly occurred and conduct immediate on-site verification and initial handling.

[0047] The alarm module 15 also establishes a real-time communication link with the backend monitoring platform. When an anomaly is triggered, it will push complete alarm information, including the anomaly type, specific device location, anomaly value, and timestamp of occurrence, to the monitoring platform. The monitoring platform's main interface will display a pinned alarm pop-up, and the record will be automatically archived in the system alarm log, facilitating backend staff to centrally monitor the operational status of multiple electronic rooms and coordinate resource allocation.

[0048] In addition, the alarm module 15 also supports pushing alarm information to the mobile devices of maintenance personnel. The alarm content on the mobile devices is synchronized with the monitoring platform in real time, and is equipped with both vibration and a dedicated ringtone for dual alerts. Even if maintenance personnel are not in the monitoring room or on-site, they can receive alarm notifications in a timely manner, enabling remote emergency response anytime, anywhere.

[0049] By combining local audible and visual alarms with remote alarm push notifications from the monitoring platform and mobile devices, a multi-channel alarm system covering both on-site and remote areas has been built. This ensures that abnormal situations can be detected in a timely manner, effectively shortens the response and handling time for abnormalities, and enhances the security operation guarantee capabilities of the electronics room.

[0050] Optionally, the system also includes a monitoring platform connected to the data processing unit 14, which is used to display the received data and status in real time, perform historical queries, and export the data.

[0051] In this embodiment, the monitoring platform establishes a stable two-way communication connection with the data processing unit 14. As the core of the system's visual interaction, it receives all the collected data and device status information forwarded by the data processing unit 14, providing maintenance personnel with a unified centralized monitoring and data management entry point.

[0052] The monitoring platform's real-time display function employs a layered, visual interface design, presenting temperature and humidity data from various monitoring points within the electronics room, the operational status of core equipment, indicator light status, and alarm signals in a clear and intuitive manner. Temperature and humidity data are displayed as dynamic real-time curves showing trends, while the installation locations of corresponding sensors and their current real-time values ​​are marked on the electronics room's floor plan. Abnormal values ​​exceeding the normal range are highlighted in a striking red. Equipment status is simulated by mimicking the actual on / off and flashing states of indicator lights, with differentiated graphical labels for different states such as normal operation, standby, abnormal, and alarm. Maintenance personnel can quickly grasp the overall operational status of the entire electronics room through the monitoring platform without entering the room.

[0053] The monitoring platform boasts comprehensive historical query capabilities. The system automatically stores all historical data and alarm event records, supporting precise searches across multiple dimensions, including time range, device number, anomaly type, and monitoring area. Maintenance personnel can retrieve temperature and humidity change curves, equipment status change records, and complete details of alarm events for any time period, tracing the occurrence and development patterns of anomalies and providing reliable data for fault analysis and potential hazard identification. Query results are automatically arranged in chronological order, supporting quick navigation and keyword-based location.

[0054] The monitoring platform also supports data export, allowing users to export historical operational data, alarm records, and periodic operational statistical reports into common electronic file formats. The exported data includes complete timestamps, monitoring locations, and original numerical parameters, ensuring data authenticity and traceability. This eliminates the need for manual paper record processing, effectively improving the efficiency of data archiving and analysis.

[0055] By adding a monitoring platform, we have achieved visualized centralized monitoring of the electronic room's operating status and standardized management of data, which has greatly improved the convenience and precision of operation and maintenance work and provided data support for the long-term stable operation of the electronic room.

[0056] Optionally, the data processing unit 14 is also used to parse, filter, and standardize the received data.

[0057] In this embodiment, after receiving the raw data uploaded by the wireless communication module 13, the data processing unit 14 first performs parsing, filtering and standardization on the data. This is the core step before subsequent threshold comparison and abnormal state judgment, which directly determines the accuracy and reliability of the system's abnormal identification.

[0058] The data parsing stage unpacks heterogeneous data output from different front-end acquisition modules. The binary encoded data output by the temperature and humidity sensor 11, the digital signals transmitted by the device status acquisition module 12, and the optical acquisition data all have different data packet formats and encoding rules. The data processing unit 14 extracts the payload from the data packets according to the preset communication protocol specifications, and simultaneously parses out the corresponding acquisition node number, acquisition timestamp, and other identification information to ensure that each set of data can be accurately matched to the specific monitoring location and acquisition device in the electronics room.

[0059] The data filtering stage is used to eliminate data noise caused by industrial environmental interference. The dense electronic equipment and cables in the electronics room of a thermal power plant generate complex electromagnetic interference, leading to invalid outliers such as spikes and random fluctuations in the raw data. Data processing unit 14 employs a composite filtering algorithm combining moving average filtering and median filtering to filter out high-frequency interference signals and sudden isolated outliers, while retaining the true trends in temperature and humidity and valid changes in equipment status, thus preventing false alarms caused by interference data from the outset.

[0060] The data standardization process unifies the data benchmarks of different acquisition devices. Different models and batches of acquisition devices output data ranges and units that differ. The data processing unit 14 converts all acquired data into standard physical quantity units and normalizes the values ​​to construct a unified data format and numerical range, providing a consistent calculation basis for subsequent threshold comparisons and anomaly judgments.

[0061] By parsing, filtering, and standardizing the raw data, the quality and consistency of the collected data were effectively improved, errors caused by environmental interference and equipment differences were eliminated, the probability of system misjudgment was significantly reduced, and accurate and reliable data support was provided for subsequent anomaly detection.

[0062] Figure 2 A flowchart illustrating an intelligent detection method between electrons provided in an embodiment of this application includes the following steps: Step 201: Collect temperature and humidity data in the electronics room in real time, and obtain the operating status of the equipment, indicator light status and alarm signals.

[0063] In some embodiments, step 201 is the basic data acquisition stage of the system, employing a 24-hour continuous acquisition mode to comprehensively cover all key monitoring areas and core electronic equipment within the electronics room. Temperature and humidity data are acquired through distributed industrial-grade temperature and humidity sensors 11. These sensors are precisely installed in locations prone to abnormal temperature and humidity changes, such as inside cabinets, at equipment heat dissipation vents, in corners of the electronics room, and at ventilation openings, based on the spatial structure, cabinet layout, and equipment heat dissipation characteristics of the electronics room. They continuously collect environmental parameters at a fixed sampling frequency, enabling the detection of subtle fluctuations and sudden abnormal changes in temperature and humidity.

[0064] Equipment operating status, indicator light status, and alarm signals are acquired through the equipment status acquisition module 12. The module directly interfaces with the signal output ports of core electronic devices such as the DCS, DEH, and ETS in the electronics room, reading basic operating status parameters such as operation, standby, and fault status in real time. For various operating and alarm indicator lights on the equipment panel, the module uses a high-resolution optical acquisition unit to capture their on / off states, flashing frequency, and color changes, converting the optical signals into transmittable digital signals. Simultaneously, the module directly acquires the equipment's built-in hardware alarm signals and software alarm outputs, ensuring that abnormal alarm information is obtained from the equipment as soon as possible.

[0065] By collecting real-time data in a multi-dimensional and distributed manner, the system fully covers the environmental parameters and operating status of the electronic room, providing a comprehensive and timely raw data foundation for subsequent anomaly detection and avoiding the intermittent and missed detection problems of manual inspection from the source.

[0066] Step 202: Upload the collected data in real time via wireless means.

[0067] In some embodiments, the collected temperature and humidity data, device status data, indicator light status data, and alarm signals are first preliminarily packaged by the corresponding acquisition module, and a unique identifier of the acquisition node and a precise acquisition timestamp are added to form a standardized transmission data packet.

[0068] Data packets are uploaded in real time via LoRa or WiFi wireless communication. The system can flexibly select the appropriate communication protocol based on the environment of the electronics room. LoRa communication is suitable for electronics rooms with large spaces and many metal cabinets, and its spread spectrum modulation technology can effectively resist complex industrial electromagnetic interference and achieve stable long-distance transmission. WiFi communication is suitable for areas with existing industrial network coverage and close proximity to the data processing terminal, and can meet the high-speed transmission requirements of large-capacity device status data. The wireless communication module 13 has a built-in data integrity verification mechanism. If packet loss or transmission errors are detected, a retransmission operation is automatically triggered to ensure the accuracy of the uploaded data.

[0069] Wireless transmission eliminates the need for extensive cabling, making deployment flexible and convenient. Furthermore, multi-protocol adaptation and data verification mechanisms ensure the real-time performance and reliability of data transmission, resolving the issue of wired transmission being susceptible to environmental limitations.

[0070] Step 203: Determine whether the uploaded data exceeds the preset temperature threshold or humidity threshold, or determine whether the device status is abnormal.

[0071] In some embodiments, after receiving the wirelessly transmitted data packet, the data processing unit 14 first performs parsing, filtering and standardization on the data to remove noise interference and invalid outliers generated during transmission, and to unify the data format and physical quantity units of different acquisition devices, so as to provide a consistent calculation basis for subsequent judgment.

[0072] Subsequently, the data processing unit 14 compares the processed temperature and humidity data with the preset normal temperature and humidity threshold ranges one by one. If the temperature or humidity value at any monitoring point exceeds the preset upper or lower limit, it is determined that the environmental parameters are abnormal. For equipment status data, the data processing unit 14 matches it with the pre-stored normal equipment status benchmark. If the equipment operating status does not match the benchmark, the indicator light turns on or off abnormally or flashes, or an alarm signal actively issued by the equipment is received, it is determined that the equipment status is abnormal. The entire judgment process is fully automated and requires no manual intervention.

[0073] By automating threshold comparison and status matching, accurate and rapid identification of abnormal situations is achieved, avoiding the subjective errors and lag of manual judgment, and providing a reliable basis for subsequent alarm response.

[0074] Step 204: When the judgment result is that the threshold is exceeded or the status is abnormal, an alarm is automatically triggered and an electronic record with a timestamp is generated and saved.

[0075] In some embodiments, when the data processing unit 14 determines that there is an abnormality in environmental parameters or an abnormality in the device status, it immediately sends a trigger signal to the alarm module 15 and simultaneously starts the automatic recording process of the electronic recording module 16.

[0076] The alarm module 15 simultaneously triggers local audible and visual alarms and remote alarm push notifications. Local audible and visual devices are installed in prominent locations such as the entrance to the electronics room and around the core cabinet cluster, using different colored lights and sound frequencies to distinguish the anomaly level. Remote alarm information is simultaneously pushed to the monitoring platform and the mobile devices of maintenance personnel, including the anomaly type, specific location, anomaly value, and precise occurrence time. The electronic recording module 16 automatically generates electronic records containing the original anomaly data, a timestamp accurate to the second, the monitoring node location, and the corresponding device number. These records are stored in an immutable format, ensuring they cannot be arbitrarily modified or deleted, and are synchronized to the system's alarm log.

[0077] Through automatic alarms and standardized electronic records, timely response and standardized archiving of abnormal situations are achieved, which greatly shortens the time for handling abnormal situations. At the same time, it ensures the authenticity and traceability of abnormal data, and provides complete data support for subsequent fault analysis and hidden danger investigation.

[0078] Optionally, before wirelessly uploading the collected data, the process may include parsing, filtering, and standardizing the data.

[0079] In this embodiment, before wirelessly uploading the collected data, the system first completes the data parsing, filtering and standardization preprocessing at the front-end acquisition end. This step, as a transitional step between data acquisition and wireless transmission, can purify the data quality and unify the data format in advance, effectively reduce the wireless transmission bandwidth occupation, and at the same time reduce the computational load of the back-end data processing unit 14, thereby improving the overall operating efficiency of the system.

[0080] Data parsing is performed locally by the front-end temperature and humidity sensor 11 and the device status acquisition module 12. The original binary data output by each sensor is unpacked to extract payloads such as temperature and humidity values, device operating status codes, indicator light optical signal conversion values, and alarm signal level values. At the same time, each set of valid data is added with a unique acquisition node number, acquisition timestamp, and other identification information, and encapsulated into a data packet with a unified structure to avoid confusion of heterogeneous data output by different types of acquisition devices during transmission.

[0081] The data filtering stage employs an embedded lightweight filtering algorithm to locally filter interference generated by the complex electromagnetic environment in the electronics room of a thermal power plant. A moving average filtering algorithm eliminates data fluctuations caused by high-frequency random noise, while a median filtering algorithm removes sudden, isolated spikes and outliers, retaining only valid data that accurately reflects environmental changes and equipment status. This prevents invalid interference data from consuming wireless transmission resources at the source, reducing the probability of subsequent false alarms.

[0082] The data standardization process converts the differentiated data output by different models and batches of acquisition devices into a unified standard. Temperature and humidity data are uniformly converted into Celsius and relative humidity units, and device status signals and indicator light signals are converted into unified digital codes. At the same time, the numerical range is normalized to ensure that the format of all uploaded data packets is completely consistent with the numerical benchmark, so that the back-end data processing unit 14 no longer needs to perform separate format adaptation for different acquisition devices.

[0083] By adding a data preprocessing step at the front-end acquisition end, invalid data can be filtered in advance and data format can be standardized locally. This not only improves the efficiency and reliability of wireless transmission, but also significantly reduces the pressure on back-end data processing, and further improves the response speed and accuracy of system anomaly identification.

[0084] Optionally, the automatic alarm triggering includes: Trigger local audible and visual alarms and push alarm information to the monitoring platform and mobile devices.

[0085] In this embodiment, the automatic alarm triggering adopts a multi-channel collaborative response mechanism. After the data processing unit 14 outputs the anomaly judgment result, the alarm module 15 simultaneously starts the local sound and light alarm and remote information push, and builds an alarm system covering the entire scenario of on-site operation, background duty and mobile operation and maintenance, so as to ensure that the abnormal information can be obtained by operation and maintenance personnel in different positions as soon as possible.

[0086] Local audible and visual alarms are implemented by industrial-grade audible and visual devices deployed in key areas of the electronics room. These devices are primarily installed at the main entrance of the electronics room, the sides of the core cabinet cluster, and the entrance to the power distribution room—locations with high personnel traffic and open visibility. When an alarm is triggered, the devices will provide differentiated warning effects based on the severity of the anomaly: in a normal warning state, the warning light is solid yellow and the buzzer emits a low-frequency intermittent sound; in an emergency alarm state, the warning light switches to a high-frequency flashing red and the buzzer simultaneously emits a high-frequency continuous sound. On-site personnel can quickly determine the level of anomaly through the audible and visual signals and preliminarily locate the area where the anomaly occurred based on the position of the light, immediately conducting on-site verification and preliminary handling.

[0087] The alarm information pushed to the monitoring platform includes complete anomaly details, specifically covering the anomaly type, monitoring node number, specific installation location, anomaly value, device number, and a timestamp accurate to the second. After the alarm information is pushed to the monitoring platform, a pinned alarm pop-up will immediately appear on the platform's main interface. At the same time, a permanent archive record will be automatically generated in the system alarm log. Back-end personnel do not need to check the monitoring data one by one; they can quickly grasp the core information of the anomaly through the pop-up and coordinate the handling resources of multiple electronic rooms.

[0088] Alarm information pushed to mobile devices is synchronized with the monitoring platform in real time. Maintenance personnel's smartphones, tablets, and other mobile devices will receive dedicated alarm ringtones and vibration alerts, allowing them to receive alarm notifications anytime, even when they are not in the monitoring room or electronics room. The mobile alarm interface supports one-click viewing of anomaly details and historical correlation data, facilitating maintenance personnel to develop handling plans in advance and shortening the investigation time after arriving on-site.

[0089] By combining local audible and visual alarms with remote push notifications from the monitoring platform and mobile devices, comprehensive and seamless transmission of abnormal information is achieved, effectively solving the coverage blind spot problem of single alarm methods and significantly improving the speed of abnormal response and handling efficiency.

[0090] Optionally, it also includes steps for real-time display, historical querying, and exporting of monitoring data and status through a monitoring platform.

[0091] In this embodiment, the real-time display, historical query, and export of monitoring data and status through the monitoring platform is the core step for the system to achieve centralized operation and maintenance management. This step runs through the entire process of intelligent detection in the electronics room, providing operation and maintenance personnel with a unified visual interactive interface and full lifecycle data management capabilities.

[0092] The real-time display section visualizes all real-time data and device status forwarded by the data processing unit 14. The monitoring platform constructs a digital twin interface based on the actual floor plan of the electronics room, marking each temperature and humidity sensor 11 and device status acquisition node at corresponding locations, displaying the current monitored values ​​and operating status in real time. Temperature and humidity data are displayed synchronously as dynamic curves showing changing trends, and device status is simulated by recreating the on / off and flashing states of indicator lights on / off via a simulated device panel. Values ​​exceeding normal ranges and abnormal devices are highlighted in a striking red. Maintenance personnel can gain a comprehensive understanding of environmental parameters and core equipment operation in all monitored areas through the monitoring platform without entering the electronics room.

[0093] The historical query function supports multi-dimensional and precise retrieval. Maintenance personnel can retrieve historical operational data and alarm event records for any time period by criteria such as time range, monitoring area, equipment number, and anomaly type. The system automatically generates temperature and humidity change curves, equipment status change sequence diagrams, and a complete ledger of alarm events for the corresponding time period, clearly reconstructing the occurrence and development patterns of abnormal events. This provides objective data support for troubleshooting, identifying potential hazards, and optimizing maintenance strategies.

[0094] The data export process supports exporting real-time data, historical operation records, alarm logs, and periodic operation statistical reports into a common electronic file format. The exported data includes complete collection timestamps, monitoring node locations, raw numerical parameters, and equipment status information. The data format is standardized and tamper-proof, completely replacing traditional handwritten paper inspection records and significantly improving the efficiency of data archiving, statistical analysis, and reporting.

[0095] Through the visualization and data management functions of the monitoring platform, centralized and refined control of the electronic room's operating status has been achieved, reducing the complexity of operation and maintenance work. At the same time, the accumulated complete operating data provides scientific decision support for the long-term safe and stable operation of the electronic room.

[0096] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0097] The above are merely specific embodiments of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to these embodiments, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. An intelligent detection system for electronic intercom, characterized in that, include: Temperature and humidity sensors are used to collect temperature and humidity data in the electronics room in real time; The equipment status acquisition module is used to acquire the operating status, indicator light status, and alarm signals of the equipment in the electronics room; A wireless communication module is used to wirelessly transmit the data collected by the temperature and humidity sensor and the device status acquisition module. The data processing unit is used to receive data uploaded through the wireless communication module and determine whether the collected data exceeds a preset threshold range or whether the device status is abnormal. The alarm module is used to issue an alarm when the data processing unit determines that the data exceeds the threshold or the device status is abnormal. The electronic recording module is used to automatically save an electronic record containing abnormal data, timestamps, and location when the data processing unit determines that the data exceeds the threshold or the device status is abnormal.

2. The intelligent detection system for electronic compartments according to claim 1, characterized in that, The wireless communication module is either a LoRa communication module or a WiFi communication module.

3. The intelligent detection system for electronic compartments according to claim 1, characterized in that, The system also includes a data gateway, to which the wireless communication module transmits data, which is then sent to the data processing unit.

4. The intelligent detection system for electronic compartments according to claim 1, characterized in that, The alarm module issues alarms including local audible and visual alarms, as well as alarm information pushed to the monitoring platform and mobile devices.

5. The intelligent detection system for electronic compartments according to claim 1, characterized in that, The system also includes a monitoring platform connected to the data processing unit, which is used to display the received data and status in real time, perform historical queries, and export data.

6. The intelligent detection system for electronic compartments according to claim 1, characterized in that, The data processing unit is also used to parse, filter, and standardize the received data.

7. An intelligent detection method for electrons, characterized in that, The electronic inter-system intelligent detection system applied to any one of claims 1 to 6 comprises: Real-time acquisition of temperature and humidity data in the electronics room, as well as acquisition of equipment operating status, indicator light status, and alarm signals; The collected data is uploaded in real time via wireless means; Determine whether the uploaded data exceeds the preset temperature or humidity thresholds, or determine whether the device status is abnormal; When the judgment result exceeds the threshold or the status is abnormal, an alarm is automatically triggered and an electronic record with a timestamp is generated and saved.

8. The intelligent detection method for electrons according to claim 7, characterized in that, Before the collected data is wirelessly uploaded, the process includes parsing, filtering, and standardizing the data.

9. The intelligent detection method for electrons according to claim 7, characterized in that, The automatically triggered alarm includes: Trigger local audible and visual alarms and push alarm information to the monitoring platform and mobile devices.

10. The intelligent detection method for electrons according to claim 7, characterized in that, Also includes: The steps involve using a monitoring platform to display monitoring data and status in real time, query historical data, and export data.

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