Intelligent auxiliary monitoring system for data center power distribution station

Abstract

The invention belongs to the technical field of power distribution station monitoring, and discloses an intelligent auxiliary monitoring system for a data center power distribution station. Comprising a cable temperature measurement module, a temperature and humidity monitoring module, an air conditioner monitoring module, a gas monitoring module, a central control module, a water level monitoring module, an infrared monitoring module, a smoke monitoring module, a noise monitoring module, a video monitoring module, an alarm log module and a linkage management module. A B / S framework is adopted, the system has the functions of data interaction, display, storage, calculation, linkage and the like with a front-end sensor, meanwhile, data can be transmitted to a rear-end software platform, the rear-end software platform carries out centralized and unified management and maintenance, normal operation of a monitoring system of a host is not affected when the platform breaks down, and the system is safe and reliable. Normal acquisition of sensor data is not affected, and the data utilization rate is high.

Description

Technical Field

[0001] This invention belongs to the field of power distribution station monitoring technology, and in particular relates to an intelligent auxiliary monitoring system for data center power distribution stations. Background Technology

[0002] With the large-scale transfer of power distribution rooms in urban residential communities, these numerous locations and a vast number of devices make it difficult for equipment managers to assess safe operation visually and sensorily. Furthermore, the harsh environments of these distribution rooms, characterized by high temperatures and humidity, pose a serious threat to equipment safety. Currently, the monitoring and control of environmental factors in power distribution rooms are still in their early stages and cannot eliminate most safety hazards. In particular, aging equipment and overheating issues within some cabinets are difficult to detect, impacting the safe and reliable operation of the distribution room and directly affecting reliability indicators and customer satisfaction.

[0003] Investigations revealed that power grid companies are currently conducting research and application of intelligent auxiliary monitoring systems for substations. However, current research on intelligent monitoring systems for substations mainly focuses on monitoring environmental conditions such as water immersion, excessive harmful gases, and high temperature and humidity, as well as using environmental control equipment to control the operating environment of the substations. While both domestic and international efforts have explored intelligent monitoring of substations, these efforts are relatively limited in scope and scope. Currently, neither domestic nor international efforts have expanded the monitoring range to 400V outgoing branch boxes, nor have algorithms utilizing visual technology to identify the movement of people indoors.

[0004] Based on the above analysis, the problems and shortcomings of the existing technology are as follows:

[0005] (1) At present, power grid companies are conducting research and application of intelligent auxiliary monitoring systems for substations. However, the current research on intelligent monitoring systems for substations mainly focuses on monitoring the substation environment, such as water immersion, excessive harmful gases, high temperature and high humidity, and using environmental conditioning equipment to control the substation operating environment.

[0006] (2) At present, both domestic and foreign countries have made some progress in intelligent monitoring of power distribution rooms, but they are relatively simple and have limited monitoring range. At present, neither domestic nor foreign countries have expanded the monitoring range to the branch boxes of 400V outgoing lines, nor have they used visual technology to identify the trajectory of people indoors. Summary of the Invention

[0007] To address the problems existing in the prior art, this invention provides an intelligent auxiliary monitoring system for data center power distribution stations.

[0008] This invention is implemented as follows: A smart auxiliary monitoring system for data center power distribution stations includes:

[0009] The cable temperature measurement module is connected to the central control module and is used to measure the temperature of the busbar incoming line of the switchgear.

[0010] The temperature and humidity monitoring module is connected to the central control module and is used to monitor the ambient temperature and humidity of each area in real time.

[0011] The air conditioning monitoring module is connected to the central control module and is used to monitor the operating parameters and status of ordinary air conditioners in the station building in real time.

[0012] The gas monitoring module, connected to the central control module, is used to monitor the concentration of various gases in the power station building, including sulfur hexafluoride (SF6), oxygen (O2), and ozone (O3).

[0013] The central control module connects to the cable temperature measurement module, temperature and humidity monitoring module, air conditioning monitoring module, gas monitoring module, water level monitoring module, infrared monitoring module, smoke monitoring module, noise monitoring module, video monitoring module, alarm log module, and linkage management module to control the normal operation of each module.

[0014] The water level monitoring module, connected to the central control module, is used to monitor the water level in the cable trench and provide real-time alarms.

[0015] The infrared monitoring module, connected to the central control module, is used to install infrared detectors in important areas of the station to monitor human intrusion in real time. Once an alarm is triggered, it will send an external alarm through the monitoring platform.

[0016] The smoke monitoring module, connected to the central control module, is designed to install smoke detectors in the station building for real-time fire alarm monitoring. Once an alarm is triggered, it will send an external alarm through the monitoring platform.

[0017] The noise monitoring module, connected to the central control module, is used to set over-limit thresholds for noise parameters at the collection points. An alarm will be triggered once the limit is exceeded.

[0018] The video surveillance module connects to the central control module and is used to connect to cameras via a local area network to obtain network digital video information. It can also be linked with access control and infrared devices to capture images. Management personnel can monitor the system through a web browser.

[0019] The alarm log module is connected to the central control module and is used to record and statistically analyze alarm data. Users can also filter and quickly find alarm information based on relevant conditions.

[0020] The linkage management module connects to the central control module and is used to support the linkage between infrared and arming / disarming, infrared dual-technology and audible and visual alarms, SF6 and fans, oxygen and fans, ozone and fans, audible and visual alarms and smoke detectors, audible and visual alarms and open flames, and cable overheating and air conditioning.

[0021] Furthermore, the cable temperature measurement module:

[0022] A wireless temperature control module is installed at the busbar inlet of the switchgear. The wireless temperature control module transmits data to the temperature measuring host wirelessly. The temperature measuring host connects to the environmental monitoring host via a 485 signal. The system can directly obtain the busbar temperature value and upload it to the remote monitoring center.

[0023] Furthermore, the temperature and humidity monitoring module:

[0024] Connect the RS485 signal from the temperature and humidity sensor to the sensor interface of the environmental monitoring host via a network cable. The device can be configured with an address code, and each sensor has an LCD screen displaying the information. Connect multiple sensors in series with an 8-core network cable and then connect them to the environmental monitoring host. The system distinguishes each sensor location by its unique address code.

[0025] Furthermore, the air conditioning monitoring module:

[0026] Since ordinary air conditioners do not have smart interfaces, an air conditioner controller must be installed. The controller's built-in RS485 smart interface is used to connect the signal to the serial port of the monitoring host via a bus. The monitoring platform software enables real-time monitoring of the ordinary air conditioner's on / off control and operating status.

[0027] Control Logic

[0028] a. The air conditioner turns on when the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors exceeds the upper limit.

[0029] b. The air conditioner turns on heating when the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors exceeds the lower limit.

[0030] c. When the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors is within the set range, the air conditioner will turn off.

[0031] Furthermore, the gas monitoring module:

[0032] By installing various gas sensors / transmitters in the station building, and connecting them to the monitoring host via a direct network cable through their provided RS485 intelligent interface and communication protocol, an alarm is immediately triggered once the concentration exceeds the standard.

[0033] Furthermore, the water level monitoring module:

[0034] An immersion-type water level transmitter is installed in the cable trench, and a detection cable is laid. The transmitter is connected to the corresponding interface of the environmental monitoring host via an RS485 interface to transmit water level information in real time.

[0035] Infrared monitoring module:

[0036] The signal from the ceiling-mounted infrared detector is directly connected to the DI port of the monitoring host (which uses the RS485 smart interface and communication protocol of the alarm host to connect the signal to the serial port of the monitoring host via a bus), and the platform software performs real-time monitoring of the burglar alarm.

[0037] Smoke monitoring module:

[0038] The dry contact signal provided by the smoke detector is directly connected to the DI port of the monitoring host, and the platform software performs real-time fire monitoring.

[0039] Another objective of this invention is to provide an intelligent auxiliary monitoring method for data center power distribution stations, comprising:

[0040] Step 1: Measure the temperature of the busbar incoming line of the switchgear using the cable temperature measurement module; monitor the ambient temperature and humidity of each area in real time using the temperature and humidity monitoring module; monitor the operating parameters and status of the ordinary air conditioners in the station building in real time using the air conditioning monitoring module; and monitor the concentration values ​​of various gases in the power station building using the gas monitoring module, including sulfur hexafluoride (SF6), oxygen (O2), and ozone (O3).

[0041] Step 2: The central control module monitors the water level in the cable trench through the water level monitoring module and issues an alarm in real time; the infrared monitoring module installs infrared detectors in important areas of the station to monitor human intrusion in real time, and once an alarm is triggered, it issues an external alarm through the monitoring platform.

[0042] Step 3: Install smoke detectors in the station building through the smoke monitoring module for real-time fire alarm monitoring. Once an alarm is triggered, an external alarm will be issued through the monitoring platform. Set over-limit thresholds for noise parameters at the collection points through the noise monitoring module. Once the limit is exceeded, an alarm will be triggered.

[0043] Step 4: Connect the video monitoring module to the camera via the local area network to obtain network digital video information. This can be linked with access control and infrared devices to capture images. Management personnel can monitor the system through a web browser. The alarm log module records and statistically analyzes alarm data, and users can quickly find alarm information by filtering according to relevant conditions.

[0044] Step 5: Through the linkage management module system, support linkage between infrared and arming / disarming, linkage between infrared dual-technology and audible / visual alarms, linkage between SF6 and fans, linkage between oxygen and fans, linkage between ozone and fans, linkage between audible / visual alarms and smoke detectors, linkage between audible / visual alarms and open flames, and linkage between cable overheating and air conditioning.

[0045] Another object of the present invention is to provide a computer device, the computer device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor causing the processor to perform the steps of the intelligent auxiliary monitoring method for data center power distribution stations.

[0046] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the intelligent auxiliary monitoring method for data center power distribution stations.

[0047] Another objective of this invention is to provide an information data processing terminal for implementing the intelligent auxiliary monitoring system for the data center power distribution station.

[0048] Based on the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solution to be protected by this invention are as follows:

[0049] The intelligent auxiliary monitoring system for data center power distribution stations adopts a B / S architecture, embedding a complete and independent monitoring system to achieve seamless data interaction, display, storage, calculation, and linkage control with various front-end sensors. Even in the event of platform failure, the system can maintain the normal operation of the host monitoring function, ensuring uninterrupted sensor data acquisition and thus guaranteeing consistently high data utilization.

[0050] The system's architecture prioritizes stability and fault tolerance. Through the separation of front-end and back-end management, the mainframe can continue operating independently even if the back-end software platform experiences problems. This design ensures the continuity of critical monitoring tasks while providing greater flexibility for system maintenance and upgrades, significantly reducing the risk of business interruption due to platform failures.

[0051] The technical solution of this invention, after being adapted, can bring significant benefits to the power industry. Through real-time data monitoring, intelligent linkage control, and data security protection, the system not only improves operation and maintenance efficiency but also significantly reduces equipment failure rates and maintenance costs. It is expected to achieve more refined equipment management and fault prediction, further enhancing the overall operational efficiency and safety level of substations.

[0052] Based on the independent monitoring architecture and efficient data utilization capabilities of this invention, its commercial value lies in its ability to effectively improve the intelligent management level of power systems and enhance grid security and resource optimization capabilities. With the continuous advancement of smart city and smart grid construction, this system possesses broad market prospects and significant commercial benefits, and is expected to become an important component of intelligent monitoring solutions for the power industry. Attached Figure Description

[0053] Figure 1 This is a structural block diagram of the intelligent auxiliary monitoring system for data center power distribution stations provided in an embodiment of the present invention.

[0054] Figure 2 This is a flowchart of the intelligent auxiliary monitoring method for data center power distribution stations provided in an embodiment of the present invention.

[0055] Figure 3 This is a diagram of the intelligent auxiliary monitoring system for data center power distribution stations provided in an embodiment of the present invention.

[0056] Figure 4 This is a system security protection framework diagram provided in the embodiments of the present invention.

[0057] Figure 5 This is the overall architecture diagram provided in the embodiments of the present invention.

[0058] Figure 6 This is a technical topology diagram provided in the embodiments of the present invention.

[0059] Figure 7 This is a platform interface diagram provided in an embodiment of the present invention.

[0060] Figure 8 This is an application architecture diagram provided in an embodiment of the present invention.

[0061] Figure 9 This is a data architecture diagram provided in an embodiment of the present invention.

[0062] Figure 10 This is a network architecture diagram provided in an embodiment of the present invention.

[0063] Figure 11 This is a technical architecture diagram provided in the embodiments of the present invention.

[0064] Figure 12 This is a functional view provided by an embodiment of the present invention.

[0065] Figure 13 This is a data model diagram provided in an embodiment of the present invention.

[0066] Figure 14 This is a logical data model diagram provided in an embodiment of the present invention.

[0067] Figure 15 The logical layering model provided in this embodiment of the invention is shown in the figure.

[0068] Figure 16 This is a component list diagram provided in an embodiment of the present invention.

[0069] Figure 17 This is a component list diagram provided in an embodiment of the present invention.

[0070] Figure 18It is the system logic deployment view provided by the embodiments of the present invention.

[0071] Figure 19 It is the deployment node design diagram provided by the embodiments of the present invention.

[0072] Figure 20 It is the system physical deployment view provided by the embodiments of the present invention.

[0073] Figure 21 It is the platform security view provided by the embodiments of the present invention.

[0074] Figure 22 It is the system interaction view provided by the embodiments of the present invention.

[0075] Figure 1 Among them: 1. Cable temperature measurement module; 2. Temperature and humidity monitoring module; 3. Air conditioner monitoring module; 4. Gas monitoring module; 5. Central control module; 6. Water level monitoring module; 7. Infrared monitoring module; 8. Smoke monitoring module; 9. Noise monitoring module; 10. Video monitoring module; 11. Alarm log module; 12. Linkage management module. Specific implementation manners

[0076] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0077] Each monitoring module (such as cable temperature measurement module, temperature and humidity monitoring module, gas monitoring module, water level monitoring module, etc.) of the intelligent auxiliary monitoring system for the power distribution station in the data center is equipped with sensors to collect the physical parameters of the monitoring points in real time, such as temperature, humidity, gas concentration, noise level, infrared intrusion signal, etc. All sensors adopt analog-to-digital conversion (ADC) technology to convert analog signals into digital signals, and filter algorithms (such as mean filtering, Kalman filtering) are used to remove data noise and improve measurement accuracy. The converted data is transmitted to the central control module through wired or wireless communication protocols (such as Modbus, RS485, TCP / IP).

[0078] The central control module receives the data transmitted by each monitoring module, and performs data parsing and comparative analysis. The system sets the normal working threshold range. If the monitoring data is within the normal range, the system only stores the data and updates the real-time status; if the data exceeds the preset threshold, such as abnormal gas concentration, too high temperature, water level exceeding the limit, smoke concentration rising, etc., the central control module immediately triggers the alarm logic, records the abnormal event in the alarm log module, and executes the corresponding linkage management strategy. For example, when the SF6 gas concentration exceeds the safety threshold, the system immediately activates the fan for ventilation to reduce the concentration of harmful gases.

[0079] When the system detects an anomaly, the central control module records the alarm time, alarm type, relevant data, and processing status through the alarm log module. Simultaneously, the audible and visual alarm system is triggered, notifying on-site personnel to conduct an inspection. The system supports automatic alarms and remote notifications, sending alarm information to management personnel via SMS, email, and a cloud platform. All alarm events are stored in a database for subsequent querying and analysis by management personnel. Furthermore, the system features intelligent filtering capabilities, allowing for rapid retrieval of relevant events based on alarm type, time range, affected area, and other criteria, improving fault response efficiency.

[0080] The video surveillance module works in conjunction with the infrared monitoring module and access control system to achieve real-time monitoring and automatic response. When the infrared monitoring module detects unauthorized intrusion, the system automatically triggers the camera to capture and record suspicious activity, while simultaneously activating an audible and visual alarm to alert security personnel to check the situation. Similarly, if the smoke detector detects a fire, the system immediately activates the video surveillance to capture the fire area and automatically initiates emergency measures such as audible and visual alarms, access control unlocking, and smoke extraction, minimizing the impact of an accident.

[0081] The intelligent auxiliary monitoring system for data center power distribution stations achieves comprehensive intelligent monitoring of station environment, gas concentration, temperature and humidity, noise, and security protection through multi-sensor data acquisition, real-time data analysis, automatic alarm and linkage control, remote monitoring and log management. The system's automated control and intelligent linkage improve the stability, security, and operational efficiency of the data center power system.

[0082] like Figure 1 As shown in the figure, an intelligent auxiliary monitoring system for data center power distribution stations provided by an embodiment of the present invention includes:

[0083] Cable temperature measurement module 1, temperature and humidity monitoring module 2, air conditioning monitoring module 3, gas monitoring module 4, central control module 5, water level monitoring module 6, infrared monitoring module 7, smoke monitoring module 8, noise monitoring module 9, video monitoring module 10, alarm log module 11, linkage management module 12;

[0084] Cable temperature measurement module 1 is connected to central control module 5 and is used to measure the temperature of the busbar incoming line of the switch cabinet;

[0085] Temperature and humidity monitoring module 2 is connected to central control module 5 and is used to monitor the ambient temperature and humidity of each area in real time.

[0086] Air conditioning monitoring module 3 is connected to central control module 5 and is used to monitor the operating parameters and status of ordinary air conditioners in the station building in real time.

[0087] Gas monitoring module 4, connected to central control module 5, is used to monitor the concentration of various gases in the power station building, including sulfur hexafluoride (SF6), oxygen (O2), and ozone (O3).

[0088] The central control module 5 is connected to the cable temperature measurement module 1, temperature and humidity monitoring module 2, air conditioning monitoring module 3, gas monitoring module 4, water level monitoring module 6, infrared monitoring module 7, smoke monitoring module 8, noise monitoring module 9, video monitoring module 10, alarm log module 11, and linkage management module 12, and is used to control the normal operation of each module.

[0089] The water level monitoring module 6 is connected to the central control module 5 and is used to monitor the water level in the cable trench and provide real-time alarms.

[0090] Infrared monitoring module 7, connected to central control module 5, is used to install infrared detectors in important areas of the station to monitor human intrusion in real time. Once an alarm is triggered, it will send an external alarm through the monitoring platform.

[0091] The smoke monitoring module 8 is connected to the central control module 5 and is designed to install smoke detectors in the station building for real-time fire alarm monitoring. Once an alarm is triggered, it will send an external alarm through the monitoring platform.

[0092] The noise monitoring module 9 is connected to the central control module 5 and is used to set over-limit thresholds for the noise parameters at the collection points. An alarm will be triggered once the limit is exceeded.

[0093] The video surveillance module 10 is connected to the central control module 5. It is used to connect to the camera via a local area network to obtain network digital video information and can be linked with access control and infrared devices to capture images. Management personnel can monitor the system through a web browser.

[0094] The alarm log module 11 is connected to the central control module 5 and is used to record and statistically analyze alarm data. Users can also filter and quickly find alarm information according to relevant conditions.

[0095] The linkage management module 12 is connected to the central control module 5 and is used to support the linkage between infrared and arming / disarming, infrared dual-technology and audible and visual alarms, SF6 and fans, oxygen and fans, ozone and fans, audible and visual alarms and smoke detectors, audible and visual alarms and open flames, and cable overheating and air conditioning.

[0096] The cable temperature measurement module provided in this embodiment of the invention:

[0097] A wireless temperature control module is installed at the busbar inlet of the switchgear. The wireless temperature control module transmits data to the temperature measuring host wirelessly. The temperature measuring host connects to the environmental monitoring host via a 485 signal. The system can directly obtain the busbar temperature value and upload it to the remote monitoring center.

[0098] The temperature and humidity monitoring module provided in this embodiment of the invention:

[0099] Connect the RS485 signal from the temperature and humidity sensor to the sensor interface of the environmental monitoring host via a network cable. The device can be configured with an address code, and each sensor has an LCD screen displaying the information. Connect multiple sensors in series with an 8-core network cable and then connect them to the environmental monitoring host. The system distinguishes each sensor location by its unique address code.

[0100] The air conditioning monitoring module provided in this embodiment of the invention:

[0101] Since ordinary air conditioners do not have smart interfaces, an air conditioner controller must be installed. The controller's built-in RS485 smart interface is used to connect the signal to the serial port of the monitoring host via a bus. The monitoring platform software enables real-time monitoring of the ordinary air conditioner's on / off control and operating status.

[0102] Control Logic

[0103] a. The air conditioner turns on when the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors exceeds the upper limit.

[0104] b. The air conditioner turns on heating when the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors exceeds the lower limit.

[0105] c. When the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors is within the set range, the air conditioner will turn off.

[0106] 5. The intelligent auxiliary monitoring system for data center substations as described in claim 1, characterized in that the gas monitoring module:

[0107] By installing various gas sensors / transmitters in the station building, and connecting them to the monitoring host via a direct network cable through their provided RS485 intelligent interface and communication protocol, an alarm is immediately triggered once the concentration exceeds the standard.

[0108] The water level monitoring module provided in this embodiment of the invention:

[0109] An immersion-type water level transmitter is installed in the cable trench, and a detection cable is laid. The transmitter is connected to the corresponding interface of the environmental monitoring host via an RS485 interface to transmit water level information in real time.

[0110] Infrared monitoring module:

[0111] The signal from the ceiling-mounted infrared detector is directly connected to the DI port of the monitoring host (which uses the RS485 smart interface and communication protocol of the alarm host to connect the signal to the serial port of the monitoring host via a bus), and the platform software performs real-time monitoring of the burglar alarm.

[0112] Smoke monitoring module:

[0113] The dry contact signal provided by the smoke detector is directly connected to the DI port of the monitoring host, and the platform software performs real-time fire monitoring.

[0114] like Figure 2 As shown in the figure, an intelligent auxiliary monitoring method for data center power distribution stations provided by an embodiment of the present invention includes:

[0115] S101 measures the temperature of the busbar incoming line of the switchgear through the cable temperature measurement module; monitors the ambient temperature and humidity of each area in real time through the temperature and humidity monitoring module; monitors the operating parameters and status of ordinary air conditioners in the station building in real time through the air conditioning monitoring module; and monitors the concentration values ​​of various gases in the power station building through the gas monitoring module, including sulfur hexafluoride (SF6), oxygen (O2), and ozone (O3).

[0116] S102, the central control module monitors the water level in the cable trench through the water level monitoring module and alarms in real time; the infrared monitoring module installs infrared detectors in important areas of the station to monitor human intrusion in real time, and once an alarm is triggered, it sends an external alarm through the monitoring platform.

[0117] S103 is designed to install smoke detectors in the station building for real-time fire alarm monitoring through a smoke monitoring module. Once an alarm is triggered, an external alarm will be issued through the monitoring platform. A noise monitoring module is used to set over-limit thresholds for noise parameters at the collection points. Once the limit is exceeded, an alarm will be triggered.

[0118] The S104 connects to a camera via a local area network through a video surveillance module to obtain network digital video information. It can also be linked with access control and infrared devices to capture images. Management personnel can monitor the system through a web browser. The alarm log module records and statistically analyzes alarm data, and users can quickly search for alarm information by filtering according to relevant conditions.

[0119] The S105 system supports linkage between infrared sensors and arming / disarming, infrared dual-technology sensors and audible / visual alarms, SF6 and fans, oxygen and fans, ozone and fans, audible / visual alarms and smoke detectors, audible / visual alarms and open flames, and cable overheating and air conditioning via the linkage management module.

[0120] Another object of the present invention is to provide a computer device, the computer device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor causing the processor to perform the steps of the intelligent auxiliary monitoring method for data center power distribution stations.

[0121] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the intelligent auxiliary monitoring method for data center power distribution stations.

[0122] Another objective of this invention is to provide an information data processing terminal for implementing the intelligent auxiliary monitoring system for the data center power distribution station.

[0123] The intelligent auxiliary monitoring system for data center substations adopts a B / S architecture, constructing an independent and complete monitoring platform to realize data interaction, display, storage, calculation, and linkage control with front-end sensors. The system not only transmits the collected data to the back-end software platform for centralized and unified management and maintenance, but also ensures that the host monitoring system can continue to operate independently and stably even when the back-end platform fails, guaranteeing the normal collection and efficient utilization of sensor data. Figure 3 As shown, a secure and reliable monitoring network has been formed.

[0124] The server-side functions cover real-time monitoring of switchgear busbar temperature, station room ambient temperature and humidity, and the operating status of general air conditioning. Cable temperature measurement collects the busbar incoming temperature through a wireless temperature control module and sets over-limit thresholds to trigger alarms; temperature and humidity monitoring utilizes an RS485 interface to connect sensors in various areas to detect temperature and humidity data in real time, supporting linkage control with subsystems such as air conditioning to ensure that environmental parameters are maintained within a safe range; general air conditioning monitoring is achieved by adding an air conditioning controller to realize remote start-up and temperature adjustment, while also linking with temperature and humidity data to achieve intelligent control.

[0125] The system also comprehensively monitors gas concentrations, water levels, infrared radiation, smoke, and noise within the power station building. The gas monitoring module collects concentration data for gases such as SF6, O2, and O3 via an RS485 interface, triggering an alarm if any levels are exceeded. Water level monitoring uses a submersible water level transmitter to monitor the cable trench water level in real time, supporting linkage with water pumps for drainage. Infrared monitoring and smoke detection are responsible for monitoring intrusion and fire alarm situations, respectively, providing real-time alarms and recording alarm events. Simultaneously, the noise monitoring module performs limit detection on noise parameters to ensure that environmental noise remains within safe limits.

[0126] In terms of video surveillance, the system connects cameras through the local area network to obtain real-time network digital video information, and can联动拍摄画面with access control, infrared and other devices; the alarm log module records, statistics and analyzes all alarm events, and supports quick screening and export query; the联动管理模块implements the联动控制between infrared, SF6, oxygen, ozone, audible and visual alarms, smoke sensors and air conditioners, etc., to build a multi-level and multi-angle security protection network, ensuring the coordinated work of various monitoring data in the power station building and realizing efficient and intelligent security management.

[0127] This project constructs an independent intelligent auxiliary monitoring system based on the intelligent monitoring host as an embedded resource service, without relying on other resources. The system adopts the B / S architecture, and the front end interacts with various sensors to实现数据采集、展示、存储、计算和联动控制. The software and hardware deployment fully supports the real-time transmission and display of account permission data, equipment ledger data, equipment monitoring data, dynamic environment monitoring data and video surveillance data, ensuring that all information in the data center substation can be timely fed back and processed.

[0128] During the data interaction process of the system, after verifying the user login information, the account permission data is transmitted to the administrator's web end; the asset data is synchronized to the client through the equipment ledger data interface; the equipment monitoring data and the dynamic environment monitoring data are directly displayed on the desktop end and the platform end; the video surveillance data is previewed in real time with the camera through the local area network, supporting remote monitoring operations. The efficient integration of each data stream ensures the accurate transmission and timely response of business data, providing a solid technical support for the stable operation of the system.

[0129] According to the "Implementation Guide for the Security Classification Protection of Electric Power Information Systems" and the "Classification Guide for the Security Classification Protection of Networks", the security protection level of the business information of the system is rated as level 2 (S2), the security protection level of the system service is rated as level 2 (A2), and the overall security protection level is level 2. The security protection matrices of business information security and system service security respectively make detailed classifications of the potential infringements on citizens, social order, public interests and national security. As the main body of security responsibility, the data center substation jointly with the Information and Communication Company and Hubei Electric Power Survey and Design Institute Co., Ltd. jointly implements various security protection measures such as system construction, network security monitoring and emergency response.

[0130] The system provides services to frontline operations and maintenance personnel, primarily facing risks related to network, data, business operations, and terminals. At the network level, there are vulnerabilities such as data eavesdropping, tampering, unauthorized external connections, and wireless interference. At the data level, data leakage or corruption may occur due to interface attacks. At the business level, risks arise from unreasonable business processes or logical design. At the terminal level, security vulnerabilities include weak passwords and plaintext transmission of sensitive information. All risks are assessed as high-risk. Through multi-layered security protection and strict management measures, the system effectively reduces the likelihood of security incidents, ensuring the safety of users, the enterprise, and the public interest.

[0131] The system employs mature cryptographic encryption technology to encrypt and store authentication information and various important business data, ensuring that information stored in the file system and database cannot be read or tampered with without authorization. By introducing national standard encryption algorithms such as SM4, it protects critical data such as user passwords, digital certificates, and configuration information, further improving the security and confidentiality of stored data and ensuring that sensitive information is thoroughly cleared and securely destroyed before data release or redistribution.

[0132] To prevent data from being tampered with or damaged during transmission, the system employs checksum technology and the SM3 digest algorithm in the data transmission stage to ensure the integrity of transmitted data. Simultaneously, sensitive information is transmitted via SM4 encryption during network transmission, thereby preventing eavesdropping or man-in-the-middle attacks and ensuring that critical business data maintains both high integrity and confidentiality during cross-network and cross-system transmission.

[0133] The system implements a strict access control policy, employing role-based permission allocation and the principle of least privilege to finely classify different users and system roles, ensuring that only authorized personnel can access sensitive data and critical resources. Simultaneously, the system enhances user authentication security through multiple methods, including multi-factor authentication, graphical CAPTCHAs, and digital certificates, preventing unauthorized access and unauthorized logins, and ensuring the uniqueness and traceability of user identity information.

[0134] The system fully implements a security audit mechanism, recording critical security events for each user and system operation in real time, covering activities such as user login, permission changes, sensitive operations, data backup and recovery, etc. All audit logs are stored in read-only mode and are guaranteed to be retained for at least six months to enable effective tracing and investigation in the event of a security incident. At the same time, measures such as regular backups and capacity monitoring are used to prevent log data from being tampered with or accidentally deleted.

[0135] The system has established a strict configuration management process to ensure that all critical configuration items are encrypted and access-controlled during changes, preventing configuration information leakage or unauthorized modification. Simultaneously, the operating system, application systems, and database data are regularly backed up, and backup and recovery tests are conducted to ensure that data can be quickly recovered in the event of a failure or attack, guaranteeing business continuity and system stability.

[0136] The system strictly adheres to secure coding and protection standards during development and operation, effectively preventing common security risks such as SQL injection, cross-site scripting, file upload vulnerabilities, and session replay attacks. Regular security vulnerability scans, patch updates, and third-party security testing promptly identify and fix potential risks. Furthermore, thorough measures are taken to erase residual authentication information and user personal information from storage space, ensuring that all remaining information is securely processed before data redistribution, thus comprehensively enhancing the overall level of data security protection.

[0137]

[0138]

[0139] Data security protection measures: Data declassification: This system does not involve data that requires declassification.

[0140] To address the above data security protection needs, the following security protection measures are implemented:

[0141]

[0142]

[0143] Note: Data security is divided into storage security and transmission security. Both storage security and transmission security include confidentiality and integrity. The specific storage and transmission security protection requirements are distinguished according to the system level and security protection requirements.

[0144] Confidentiality is protected by encryption algorithms, which include symmetric encryption, asymmetric encryption, and hybrid encryption (using a combination of symmetric and asymmetric encryption). The key to confidentiality lies in protecting the encryption algorithm key.

[0145] Integrity can be protected through methods such as digest functions, message authentication codes, digital signatures, and digital certificates.

[0146] Password security

[0147] Algorithm selection

[0148] This system uses encryption algorithms for authentication login; the digital certificates used for internal communication are issued by the State Grid CA.

[0149] In terms of storage, there is no encrypted data.

[0150] In terms of transmission, HTTPS is used to provide initialization verification and encrypted communication channels. The digital certificate used by HTTPS is issued by the State Grid CA and uses the TLS 1.3 protocol.

[0151]

[0152] Safety Management Center

[0153]

[0154]

[0155] Safety Management

[0156] Throughout the entire lifecycle of the Hua Intelligent Auxiliary Monitoring System's application, construction, and operation, we strictly adhere to the company's requirements for full lifecycle security management of the information system.

[0157] Based on the management and application requirements of the intelligent auxiliary monitoring system, during the system operation and maintenance phase, daily on-site safety management and system operation monitoring should be strengthened, and any problems discovered should be rectified and repaired in a timely manner.

[0158] Operational safety management

[0159] This system, in accordance with company requirements and actual business development needs, incorporates non-functional requirements design in terms of system performance, reliability, usability, portability, maintainability, application and operation monitoring, and compatibility, to meet system operation security requirements, as detailed below.

[0160] Operating performance

[0161] The system should be able to accommodate at least 50 users at the same time, with more than 10 concurrent users. The system performance should not be significantly reduced when the number of concurrent users is 100.

[0162] The entire application software system should be able to work continuously 24 / 7 without interruption, and should be able to provide timely alarms in case of failure, with a total fault-free time of over 95%.

[0163] The application system has automatic or manual recovery measures to enable it to quickly return to normal operation in the event of an error;

[0164] Information security

[0165] In terms of information security, this system employs static password technology for identity authentication and SSL technology for transmission security, ensuring secure data transmission. Regarding access control, the system is controlled by a unified access control platform. For data security, the system implements security designs at three levels: confidentiality, integrity, and availability, ensuring data security throughout data collection, transmission, and use. Regarding the design requirements for log file content, all production system log files must include business function log files and system log files. The log file content format must be uniform and include at least: business transaction number, IP address, user, start and end times (in milliseconds), specific operation details, and operation results.

[0166] Reliability requirements

[0167] The system's fault tolerance design includes: rigorous information system code logic; handling of various system anomalies; ensuring every method and process has exception handling statements; automatic identification and resolution of system transaction failures and communication failures to ensure system availability; data protection when anomalies occur; storage of server-side data in a temporary table and client-side data in a cache; restrictions on uploaded files, limiting file size and capacity; compliance with the "100 Measures for Improving R&D Quality and Preventing Accidents"; and a clear historical data archiving mechanism based on actual business needs. This ensures the system's fault tolerance meets design requirements. Regarding system operational stability, the design includes: establishing protection mechanisms for high concurrency or overloaded business scenarios to ensure stable system operation; and ensuring reliability under high concurrency conditions. In a service cluster of N nodes, each service node can handle 1 / (N-2) of the system's maximum designed concurrency, guaranteeing system stability meets design requirements.

[0168] Ease of use

[0169] This system uses the Spring Boot framework and employs object-oriented design methods to improve reusability, flexibility, and scalability, ensuring a clear structure, well-structured modules, and separation of business rules and business logic, as well as workflow and business logic. It adheres to consistent design and coding styles in terms of function combination, interface coloring, component layout, and code comments, adopting a modular design principle. Accurate and complete documentation is prepared during development, including requirements analysis, architecture design, high-level design, detailed design, and maintenance manuals for the information system.

[0170] portability

[0171] In terms of business applications, this system is designed with a certain degree of foresight, taking into account the needs of future business development. While meeting current business volume requirements, it effectively assesses future business growth to ensure that the system's processing capacity can meet the increased processing demands brought about by business growth within a certain timeframe. The hardware baseline environment required for system operation and the system's applicable scope include: the server-side, client-side, and network environments, as well as the supporting software environment (including database, middleware, operating system, and client browser). Specific details such as software version numbers should be clearly defined for the software environment. The design for migration between diverse environments prioritizes migrating the application system first, followed by the database, minimizing business downtime.

[0172] Maintainability

[0173] The upgrade and migration plan for this system is designed to use scripts for one-click backup of data and application servers, execution of database upgrade scripts, replacement of the latest application package, and startup of the application server. System user roles are clearly defined, with each role responsible for: ordinary users entering and viewing basic business data; auditors approving process data; system administrators assigning permissions; and business configuration personnel maintaining system configuration information. The system logs are designed to include various types such as runtime logs, error logs, login logs, and debug logs. The log format is standardized, including time, module, IP address, operation type, statement execution time, execution duration, and execution result. Standardized alarm logs are provided, along with standard alarm information (including alarm time, alarm type, alarm level, alarm status, alarm module, alarm title, and detailed alarm information).

[0174] compatibility

[0175] This system adopts a B / S architecture and runs on Windows 10 and Windows 11.

[0176] 3.3 Overall Architecture

[0177] The intelligent auxiliary monitoring system for data center substations relies on the power grid infrastructure resources provided by the data platform to develop new businesses for both internal and external networks. It integrates data from both networks and follows a partitioned and layered overall architecture design. Targeting IT support and management departments of enterprises and institutions, the intelligent data center management system, based on ITIL's IT service management principles, integrates various technologies such as system monitoring, application monitoring, network monitoring, virtualization resource management, reporting, and portals. This helps users solve challenges in IT support and management, improving IT service levels and work efficiency. The module is deployed on the operation side of the intelligent auxiliary monitoring system for data center substations.

[0178] Overall architecture as follows Figure 5 :

[0179] 3.4 Overall Technical Route

[0180] 3.4.1 Technical Topology Figure 6

[0181] The overall technical architecture is divided into: acquisition layer, transmission layer, application layer, and extension layer.

[0182] Acquisition Layer: The front-end sensor layer mainly consists of front-end sensors that collect monitoring information such as environment, power, and safety. It interacts with the monitoring host for information display and processing, and can also link with controllable devices for intelligent linkage.

[0183] Transport Layer: Data transmission between the core monitoring host and the front-end data acquisition sensors is achieved through RS485 / DI / DO interfaces and the Modbus protocol. The core monitoring host centrally uploads the acquired data to the back-end monitoring software center using the TCP / IP protocol and fiber optic or broadband transmission.

[0184] Application Layer: The application layer is the substation auxiliary control software system. It adopts a B / S architecture and is a user-end centralized monitoring software that integrates communication interconnection, data acquisition and remote control. The business application layer provides users with various application entry points, including: data display, remote control, alarm management, query retrieval, report statistics, event log and other functions. It also has good scalability and seamlessly connects with existing equipment and systems.

[0185] Extensions: The system seamlessly integrates with existing equipment and systems within the station without affecting related data and functions of other systems. It can also be extended to include video, fire protection, and power equipment monitoring.

[0186] (1) Embedded host

[0187] It has an independent and complete monitoring system, which adopts a B / S architecture and has functions such as data interaction, display, storage, calculation and linkage with front-end sensors. At the same time, it can transmit data to the back-end software platform for centralized and unified management and maintenance. However, when the platform fails, it will not affect the normal operation of the host monitoring system or the normal acquisition of sensor data, and the data utilization rate is high.

[0188] (2) Platform Software

[0189] As the user application layer, it supports simultaneous monitoring of multiple stations. The system adopts a B / S architecture, integrating functions such as data display, remote control, alarm management, query retrieval, report statistics, and event logging to improve remote operation and maintenance efficiency. Figure 7 .

[0190] Platform features:

[0191] The monitoring system has comprehensive data acquisition, display, control, analysis, uploading, storage, and management functions;

[0192] It supports centralized monitoring of substations, enabling cross-regional centralized monitoring and management of multiple stations located in various places;

[0193] It features online or offline electronic map functionality, allowing for an intuitive understanding of the monitoring dynamics of multiple stations;

[0194] Supports embedded 3D map management, allowing for an intuitive view of the operating status of monitoring equipment in residential housing facilities;

[0195] It allows for browsing and management entirely in Internet Explorer style, and adopts a B / S architecture for easy maintenance and upgrades;

[0196] It has complete log management and query functions, and provides a comprehensive management system;

[0197] It has asset management functions, such as asset registration, asset inquiry, asset backup, and maintenance records;

[0198] It supports multiple alarm methods, such as SMS alarm, telephone alarm, WeChat alarm, web page alarm, email alarm, etc.

[0199] Supports multi-user permission management functionality;

[0200] Supports PUE (Power Usage Effectiveness) statistics for station buildings;

[0201] Supports displaying trend charts and bar graphs for monitoring equipment;

[0202] Embedded powerful report output system;

[0203] Multiple alarm levels can be flexibly set.

[0204] Server environment configuration:

[0205] Hardware environment Recommended configuration: 8-core, 16-thread CPU, 8 vCPUs, 16GB RAM, 2TB HDD operating system Windows 2008 Server 64-bit, Red Hat Linux 6.7 64-bit database Recommended databases: Oracle, MySQL, and support for domestic databases such as ShenTong and Kingbase. Software environment JDK 64-bit

[0206] Client environment configuration:

[0207] Hardware environment No special requirements operating system WindowsXP, Windows2000, Windows2003, Windows2008 Software environment Firefox, Chrome, IE8+, etc.

[0208] 3.5 Architectural compliance

[0209] 3.5.1 Business Architecture

[0210] From the perspective of managers and operations, this project presents information related to the management of basic resource projects and the company's revenue, uniformly manages the information covered in the entire project process, and processes and displays revenue data, realizing multi-faceted convenient functions such as cable temperature measurement, temperature and humidity monitoring, air conditioning monitoring, gas monitoring, water level monitoring, infrared monitoring, smoke detection, noise monitoring, video monitoring, alarm logs, and linkage management, such as Figure 3 .

[0211] 3.5.2, Application Architecture Figure 8

[0212] 3.5.3, Data Architecture

[0213] Data Architecture Figure 9 :

[0214] Data is divided into basic resource data and project output data. Basic resource data is the data supporting business operations, which comes from the data middle platform, and this part of the data is incrementally pulled and updated with the data middle platform. Project management data is supported by a system of data, and the functional logic outputs of each module are stored in RDS for management interaction; user data comes from the ISC service platform.

[0215] Network Architecture Figure 10

[0216] 3.5.4, Technical Architecture

[0217] Technical Architecture Figure 11 :

[0218] The intelligent auxiliary monitoring system for power distribution stations in the data center adopts the J2EE architecture, a fully graphical B / S mode, with strong portability, and can be cross-platform deployed based on different operating systems (Windows, Red Hat Linux, domestic Kylin, etc.). The unified and open monitoring and management platform supports multiple databases (MySql, Oracle, domestic Shenzhou Tongyong, etc.), supports domestic middleware such as TongWeb, supports OpenJDK, and provides third-party system integration interfaces that meet national information technology service standards (ITSS).

[0219] 4. Business Capability View

[0220] 4.1. Business Functional Requirements

[0221] 4.1.1. Business Objectives

[0222] By leveraging advanced Internet of Things (IoT), cloud computing, edge computing, insulation monitoring, modern sensing and information communication, network technology, image technology, security monitoring and anti-theft alarm, and intelligent environment comprehensive monitoring technologies, the voltage, current, power, frequency, power quality-related parameters, SF6 gas content, O2 content, and other key information of each electrical circuit in the distribution room can be monitored and diagnosed in real time online. According to the pre-set activation method and the status of the above monitoring devices, relevant management personnel can be reminded to regulate and intelligently control the main power supply equipment. At the same time, signals such as fire, smoke, and open fire can also be introduced for linkage. By using technologies such as object detection, video analysis, human pose recognition, bone information recognition, three-dimensional estimation, and data processing, the personnel trajectories in the indoor scene of the distribution room can be identified and tracked, achieving precise control over the personnel operation area and preventing unauthorized entry into other compartments.

[0223] 4.1.2. Role Definition

[0224] Based on the WE server monitoring system, build and design a set of intelligent monitoring host devices based on edge computing to achieve remote monitoring and control of the operation of the distribution room. Divide the roles and responsibilities of different relevant personnel.

[0225] Table - System Role Definition Table

[0226] serial number Role Duties 1001 Management personnel Responsible for approving related business. 1002 Operations and maintenance personnel Responsible for daily operation inspections. 1003 Visitors Temporary visitor.

[0227] 4.1.3. Function Description

[0228] 4.1.3.1. Software Management

[0229] The software implementation consists of an auxiliary monitoring platform, a data transmission system, an intelligent monitoring host, various IoT sensing and execution subsystems, etc. The on-site sensing and execution unit adopts an intelligent edge computing solution. Through the edge computing terminal of the intelligent monitoring host, it is connected to the intelligent monitoring system of the substation in the data center via the data transmission system. The intelligent monitoring system realizes core functions such as comprehensive situation awareness, online patrol, and data sharing of the distribution room. The intelligent monitoring system realizes the online patrol of the distribution room through the Web application.

[0230] 4.1.3.2. Intelligent Monitoring Host

[0231] The intelligent monitoring host, as the brain of the intelligent distribution room, mainly consists of a monitoring host and an intelligent integrated power management unit, and is installed in the distribution room in a wall-mounted chassis or floor-standing form.

[0232] The intelligent monitoring host employs advanced hardware and software technology and a meticulous structural design, primarily used for real-time control of equipment status and environmental conditions in power distribution rooms. It adopts a hierarchical distributed structure, allowing for centralized panel mounting or installation on switchgear. The entire system is flexible and reliable, with each functional unit operating independently without interdependence; failure of one module will not affect the functionality of other modules.

[0233] The intelligent monitoring host, acting as an edge computing device, enables network communication with the intelligent monitoring system. It features wireless public network communication and communicates with the intelligent monitoring system using IoT protocols or power standard protocols. Simultaneously, it forms an edge network with various sensors, protection and control devices, and actuators. Combined with edge computing technology, it achieves input monitoring and output control of various types of information within the site, and realizes the collection and transmission of status information within the power distribution room, as well as the linkage between various subsystems.

[0234] 4.1.3.3 Infrared and Arming / Disarming Linkage

[0235] 1) The infrared sensor works normally when the system is armed. When the infrared sensor is triggered, it will be linked with the audible and visual alarm and the alarm information will be displayed in the background.

[0236] 2) The infrared sensor fails during disarming and does not link with the audible and visual alarms, but the system still shows that someone has entered.

[0237] 4.1.3.4. Linkage between infrared dual-technology detector and audible / visual alarm

[0238] 1) When the infrared dual-detection does not detect a person, it will not be linked with the sound and light alarm.

[0239] 2) When the infrared dual-technology sensor detects a person, the intrusion alarm and the audible and visual alarm are linked, and the alarm information is displayed in the background.

[0240] 4.1.3.5 SF6 and wind turbine linkage

[0241] 1) When the SF6+O2 sensor detects that the SF6 leakage exceeds the warning value, the fan will start automatically; when the SF6+O2 sensor detects that the SF6 level is below the warning value, the fan will shut down automatically and the linkage information will be displayed in the background.

[0242] 4.1.3.6 Oxygen and blower linkage

[0243] 1) When the SF6+O2 sensor detects that the oxygen content has reached the warning value, the fan will start automatically; when the SF6+O2 sensor detects that the oxygen content has returned to the normal value, the fan will shut down automatically and the linkage information will be displayed in the background.

[0244] 4.1.3.7 Ozone and fan linkage

[0245] 1) When the O3 sensor detects that the ozone content has reached the warning value, the fan will start automatically; when the O3 sensor detects that the ozone content has returned to the normal value, the fan will shut down automatically and the linkage information will be displayed in the background.

[0246] 4.1.3.8. Sound and light alarm linked with smoke detector

[0247] 1) When the smoke detector detects smoke, it automatically activates the audible and visual alarm and displays the alarm information in the background.

[0248] 2) If the smoke detector does not detect smoke, immediately turn off the audible and visual alarm.

[0249] 4.1.3.9. Sound and light alarm linked with open flame

[0250] 1) When the open flame detector detects an open flame, it automatically activates the audible and visual alarm and displays the alarm information in the background.

[0251] 2) If the smoke detector does not detect smoke, immediately turn off the audible and visual alarm.

[0252] 4.1.3.10 Cable overheating and air conditioning linkage

[0253] 1) When the cable temperature sensor detects a temperature greater than the warning value, a cable temperature warning is issued, the air conditioner is activated, and the warning information is displayed in the background.

[0254] 2) When the cable temperature sensor detects that the temperature has returned to normal, the air conditioner will automatically turn off and display a warning message in the background.

[0255] 4.1.3.11 Intelligent Integrated Power Management Unit

[0256] The intelligent integrated power management unit serves as the unified power supply unit for all system equipment, enabling power supply management, uninterrupted power supply, and online monitoring and management of backup batteries.

[0257] The power management unit adopts a dual AC (AC220V / 50Hz) power supply method. Under normal circumstances, it draws power from AC power, while the AC energy storage lithium battery serves as a backup power source for emergency power outages. The theoretical design meets the requirements for more than 4 hours of normal operation of the equipment and the capacity selected for the actual load on site. When the AC power supply is restored, the device automatically switches back to AC power and begins charging the battery.

[0258] 4.2 Non-functional requirements

[0259] 4.2.1 Performance and Reliability

[0260] 1) To improve the level of operation and maintenance and realize intelligent operation and maintenance management, the intelligent auxiliary monitoring system of the substation adopts a B / S architecture. It has functions such as data interaction, display, storage, calculation and linkage with front-end sensors. At the same time, it can transmit data to the back-end software platform, which will centrally manage and maintain the data. When the platform fails, it will not affect the normal operation of the host monitoring system or the normal collection of sensor data.

[0261] 2) The average daily CPU utilization is less than 40%, less than 75% during peak hours, the memory utilization is less than 50%, and less than 75% during peak concurrency.

[0262] 3) The system has been in stable trial operation for more than three months, with safe and stable operation, achieving 7×24h reliable operation capability, annual availability rate >99.97%, and meeting the relevant requirements of the user unit.

[0263] 4.2.2 Information Security

[0264] The security protection of the information system in this project is based on the requirements of the "Overall Plan for Information Security Protection of Smart Grid of State Grid Corporation of China" (State Grid Information

[2011] No. 1727), and follows the security strategy of "regional and domain-based, secure access, dynamic perception and comprehensive protection". The security protection design is carried out in accordance with the requirements of the Level II protection system, and the protection of the website is strengthened according to the continuous improvement of the business system to ensure the safe, reliable and stable operation of the application to the greatest extent.

[0265] 4.2.3 Maintainability

[0266] 1) Supports individual upgrades of each component or part. When updating or loading a module, business operations and services will not be affected without updating the interface with the upstream and downstream modules.

[0267] 2) Separate common functions, business rules from business logic, and workflows from business logic;

[0268] 3) Maintain complete implementation documentation and keep it updated in real time.

[0269] 4.2.4 Usability

[0270] 1) Service load balancing is provided through application servers; database load balancing is achieved through database connection pool configuration, and other methods are used to handle interactions with unstable external systems.

[0271] 2) The system is available 24 / 7 and can be maintained during specific time periods each day.

[0272] 3) Supports system operation monitoring, resource monitoring, and performance monitoring, and possesses a certain degree of fault isolation capability. When the system service or platform operating status changes abnormally, it can provide timely warnings and adopt emergency plans to ensure the normal operation of the system.

[0273] 4) Select effective exception management strategies.

[0274] 5) Handle failed transactions using the database's inherent transaction compensation capabilities.

[0275] 5. Functional View Figure 12

[0276] 5.1 Function List

[0277]

[0278]

[0279] 6. System Data View

[0280] 6.1 Data Model Figure 13

[0281] 6.1.1 Conceptual Data Model

[0282] 6.1.2 Logical Data Model Figure 14

[0283] 7. System Service View

[0284] 7.1 Service Layer Design

[0285] The second phase of the basic resource operation platform adopts a layered and categorized system component design, including a presentation layer, application service layer, public service layer, and data storage layer. The logical layering model is as follows: Figure 15 As shown:

[0286] Table - System Logic Layering Description

[0287]

[0288] 7.2 Public Service Design

[0289] 7.2.1 Component list as follows Figure 16

[0290] 7.2.2 Data Encryption Component Sub-item

[0291]

[0292] 7.2.3 User Authentication Component

[0293]

[0294] 7.3 Application Service Design

[0295] 7.3.1 Component List Figure 17

[0296] 7.3.2 Component Breakdown

[0297]

[0298] 8. System Integration View

[0299] 8.1 Overall Integration

[0300] 8.2 Integrated Scenarios

[0301] 8.3 Integrated Design

[0302] System logic deployment view Figure 18

[0303] 9.1 Deployment Node Design Figure 19

[0304] System physical deployment view Figure 20

[0305] The basic resource operation platform in the management information region is deployed on a cloud platform, involving EDAS deployment, microservice container deployment, RDS deployment, Redis cache deployment, and OSS deployment.

[0306] 10.1 Capacity Planning

[0307] The basic resource operation platform system capacity includes system capacity and business data capacity. Basic system capacity refers to the space required to install the operating system, database management system software, J2EE application server, and store system files, temporary files, database operation logs, and other supporting systems. Business data capacity mainly includes resource databases, customer databases, operation management databases, operation and maintenance monitoring databases, and unstructured data centers.

[0308] 10.1.1 Basic System Capacity Planning

[0309] Basic system capacity refers to the hardware and software capacity required to maintain the system's normal production and operation, excluding business factors; it represents the capacity resources consumed by the system itself. The system capacity space estimation for the basic resource operation platform is as follows:

[0310]

[0311]

[0312] The initial system capacity is planned to be 170G, with an annual increase of 36G (an average monthly increase of 3G).

[0313] 10.1.2 Bandwidth Capacity Planning

[0314] Parameter definition

[0315] N: Total number of terminals within the network, in units (units)

[0316] T: Time interval for periodic reporting, in seconds.

[0317] L: Length of a single reported data entry, in bytes.

[0318] D: Average data concurrency per second, unit (data entries / second)

[0319] B: Bandwidth

[0320] K: constant 1024

[0321] Calculation method

[0322] The formula for calculating the average data concurrency per second is: D = N / T

[0323] The bandwidth calculation formula is: B = (D * L / K²) * 8

[0324] That is, multiply the number of concurrent data messages per second by the length of a single data message to calculate the average data volume per second (unit: bytes). Divide the calculated average data volume per second by (1024*1024) to convert the data volume unit to M, and then multiply by 8 to get the actual bandwidth Mbit / s.

[0325] For example:

[0326] Assuming 150 terminals (peak) within the system report one data entry every 15 seconds, with each data entry being 1048576 bytes, the required bandwidth is: B = (((150 / 15)*1048576) / (1024*1024))*8 = 80 Mbit / s

[0327] Assuming the system reports one data entry every 15 seconds (outside of peak hours) from 50 users, and each data entry is 1024 bytes, the required bandwidth is:

[0328] B=(((50 / 15)*1048576) / (1024*1024))*8=26.7Mbit / S

[0329] 10.1.3 Business Data Capacity Planning

[0330]

[0331]

[0332] 10.1.4 Throughput

[0333]

[0334] This invention is primarily aimed at the field of industrial monitoring and data acquisition, and is particularly suitable for power systems, substations, and other industrial scenarios requiring real-time environmental monitoring and data processing. Based on an embedded Linux system and a Freescale industrial-grade low-power ARM chip, this product integrates multiple interfaces (including Ethernet, RS485, RS232, DI / DO, AI, USB, etc.) to achieve high-precision data acquisition and transmission. It features a compact design and high reliability, making it suitable for fields with stringent requirements such as equipment monitoring, environmental monitoring, and emergency response.

[0335] The system hardware design employs high performance and low power consumption, possessing excellent physical size control and broad adaptability to various operating environments (temperature range -25 to 70℃, humidity 10% to 95%). Simultaneously, the system utilizes Alibaba Cloud's built-in disaster recovery strategy and a secure interactive view based on the HTTPS protocol to achieve cross-domain firewall access control and data anonymization, ensuring the confidentiality and integrity of data transmission. The integrated design with multiple interfaces and protocols gives the system extremely high compatibility and scalability across different application scenarios.

[0336] Through testing with specific embodiments, this invention achieves 24 / 7 continuous and stable operation, maintaining efficient data acquisition and processing even under high concurrency and harsh environments. The hardware platform consumes no more than 50W in actual deployment, and its size and weight meet industrial-grade standards. Furthermore, verification through disaster recovery views demonstrates that the system can quickly restore business operations in the event of an emergency. All data security protection measures (such as SM3 and SM4 encryption, and HTTPS transmission) have undergone rigorous testing, proving their effectiveness in preventing data leakage and ensuring business continuity and secure system operation.

[0337] The implementation of this invention not only significantly improves the integration and intelligence level of industrial monitoring systems, but also achieves remarkable results in terms of security, reliability, and data transmission integrity. Practical applications have proven that the system possesses powerful real-time data interaction capabilities, stable remote monitoring and management functions, and can effectively cope with network attacks and data theft risks, ultimately providing a highly efficient, reliable, and secure intelligent monitoring solution for power systems and other industrial sectors.

[0338] It should be noted that embodiments of the present invention can be implemented in hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by a suitable instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the above-described devices and methods can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuitry such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field-programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of the above-described hardware circuitry and software, such as firmware.

[0339] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with this technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered by the scope of protection of the present invention.

Claims

1. An intelligent auxiliary monitoring system for data center power distribution stations, characterized in that, include: The cable temperature measurement module is connected to the central control module and is used to measure the temperature of the busbar incoming line of the switchgear. The temperature and humidity monitoring module is connected to the central control module and is used to monitor the ambient temperature and humidity of each area in real time. The air conditioning monitoring module is connected to the central control module and is used to monitor the operating parameters and status of ordinary air conditioners in the station building in real time. The gas monitoring module, connected to the central control module, is used to monitor the concentration of various gases in the power station building, including sulfur hexafluoride (SF6), oxygen (O2), and ozone (O3). The central control module connects to the cable temperature measurement module, temperature and humidity monitoring module, air conditioning monitoring module, gas monitoring module, water level monitoring module, infrared monitoring module, smoke monitoring module, noise monitoring module, video monitoring module, alarm log module, and linkage management module to control the normal operation of each module. The water level monitoring module, connected to the central control module, is used to monitor the water level in the cable trench and provide real-time alarms. The infrared monitoring module, connected to the central control module, is used to install infrared detectors in important areas of the station to monitor human intrusion in real time. Once an alarm is triggered, it will send an external alarm through the monitoring platform. The smoke monitoring module, connected to the central control module, is designed to install smoke detectors in the station building for real-time fire alarm monitoring. Once an alarm is triggered, it will send an external alarm through the monitoring platform. The noise monitoring module, connected to the central control module, is used to set over-limit thresholds for noise parameters at the collection points. An alarm will be triggered once the limit is exceeded. The video surveillance module connects to the central control module and is used to connect to cameras via a local area network to obtain network digital video information. It can also be linked with access control and infrared devices to capture images. Administrators can monitor the system through a web browser; The alarm log module is connected to the central control module and is used to record and statistically analyze alarm data. Users can also filter and quickly find alarm information based on relevant conditions. The linkage management module connects to the central control module and is used to support the linkage between infrared and arming / disarming, infrared dual-technology and audible and visual alarms, SF6 and fans, oxygen and fans, ozone and fans, audible and visual alarms and smoke detectors, audible and visual alarms and open flames, and cable overheating and air conditioning.

2. The intelligent auxiliary monitoring system for data center power distribution stations as described in claim 1, characterized in that, The cable temperature measurement module: A wireless temperature control module is installed at the busbar inlet of the switchgear. The wireless temperature control module transmits data to the temperature measuring host wirelessly. The temperature measuring host connects to the environmental monitoring host via a 485 signal. The system can directly obtain the busbar temperature value and upload it to the remote monitoring center.

3. The intelligent auxiliary monitoring system for data center power distribution stations as described in claim 1, characterized in that, The temperature and humidity monitoring module: Connect the RS485 signal from the temperature and humidity sensor to the sensor interface of the environmental monitoring host via a network cable. The device can be configured with an address code, and each sensor has an LCD screen displaying the information. Connect multiple sensors in series with an 8-core network cable and then connect them to the environmental monitoring host. The system distinguishes each sensor location by its unique address code.

4. The intelligent auxiliary monitoring system for data center power distribution stations as described in claim 1, characterized in that, The air conditioning monitoring module: Since ordinary air conditioners do not have smart interfaces, an air conditioner controller must be installed. The controller's built-in RS485 smart interface is used to connect the signal to the serial port of the monitoring host via a bus. The monitoring platform software enables real-time monitoring of the ordinary air conditioner's on / off control and operating status. Control Logic a. The air conditioner turns on when the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors exceeds the upper limit. b. The air conditioner turns on heating when the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors exceeds the lower limit. c. When the temperature value of the specified temperature and humidity sensor or the average temperature value of all temperature and humidity sensors is within the set range, the air conditioner will turn off.

5. The intelligent auxiliary monitoring system for data center power distribution stations as described in claim 1, characterized in that, The gas monitoring module: By installing various gas sensors / transmitters in the station building, and connecting them to the monitoring host via a direct network cable through their provided RS485 intelligent interface and communication protocol, an alarm is immediately triggered once the concentration exceeds the standard.

6. The intelligent auxiliary monitoring system for data center power distribution stations as described in claim 1, characterized in that, The water level monitoring module: An immersion-type water level transmitter is installed in the cable trench, and a detection cable is laid. The transmitter is connected to the corresponding interface of the environmental monitoring host via an RS485 interface to transmit water level information in real time. Infrared monitoring module: The signal from the ceiling-mounted infrared detector is directly connected to the DI port of the monitoring host (which uses the RS485 smart interface and communication protocol of the alarm host to connect the signal to the serial port of the monitoring host via a bus), and the platform software performs real-time monitoring of the burglar alarm. Smoke monitoring module: The dry contact signal provided by the smoke detector is directly connected to the DI port of the monitoring host, and the platform software performs real-time fire monitoring.

7. A method for intelligent auxiliary monitoring of a data center power distribution station implementing the intelligent auxiliary monitoring system for data center power distribution stations as described in any one of claims 1-6, characterized in that, The intelligent auxiliary monitoring method for data center power distribution stations includes: Step 1: Measure the temperature of the busbar incoming line of the switchgear using the cable temperature measurement module; monitor the ambient temperature and humidity of each area in real time using the temperature and humidity monitoring module; monitor the operating parameters and status of the ordinary air conditioners in the station building in real time using the air conditioning monitoring module; and monitor the concentration values ​​of various gases in the power station building using the gas monitoring module, including sulfur hexafluoride (SF6), oxygen (O2), and ozone (O3). Step 2: The central control module monitors the water level in the cable trench through the water level monitoring module and issues an alarm in real time; the infrared monitoring module installs infrared detectors in important areas of the station to monitor human intrusion in real time, and once an alarm is triggered, it issues an external alarm through the monitoring platform. Step 3: Install smoke detectors in the station building through the smoke monitoring module for real-time fire alarm monitoring. Once an alarm is triggered, an external alarm will be issued through the monitoring platform. Set over-limit thresholds for noise parameters at the collection points through the noise monitoring module. Once the limit is exceeded, an alarm will be triggered. Step 4: Connect the video monitoring module to the camera via the local area network to obtain network digital video information. This can be linked with access control and infrared devices to capture images. Management personnel can monitor the system through a web browser. The alarm log module records and statistically analyzes alarm data, and users can quickly find alarm information by filtering according to relevant conditions. Step 5: Through the linkage management module system, support linkage between infrared and arming / disarming, linkage between infrared dual-technology and audible / visual alarms, linkage between SF6 and fans, linkage between oxygen and fans, linkage between ozone and fans, linkage between audible / visual alarms and smoke detectors, linkage between audible / visual alarms and open flames, and linkage between cable overheating and air conditioning.

8. A computer device, characterized in that, The computer device includes a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the intelligent auxiliary monitoring method for data center substations as described in claim 7.

9. A computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the intelligent auxiliary monitoring method for data center substations as described in claim 7.

10. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the intelligent auxiliary monitoring system for data center power distribution stations as described in any one of claims 1-6.

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