Energy storage fire-fighting intelligent monitoring system and method

Abstract

The invention provides an energy storage fire-fighting intelligent monitoring system and method, the system comprises an in-warehouse host and a plurality of distributed monitoring nodes, and each monitoring node is provided with a sub-node device; the child node equipment is used for collecting the environment parameters and the equipment state information of the monitoring nodes and sending the environment parameters and the equipment state information to the in-warehouse host, and is also used for receiving a control instruction of the in-warehouse host and executing corresponding control operation; and the in-warehouse host is used for acquiring the environment parameters and the equipment state information of each piece of sub-node equipment in real time, carrying out anomaly detection on the environment parameters and the equipment state information according to a preset linkage control strategy, automatically triggering a corresponding emergency processing mechanism when an anomaly is detected, and sending a control instruction to each piece of sub-node equipment. The intelligent fire extinguishing system has the advantages that the defects that a traditional fire extinguishing system is low in response speed, poor in subsystem collaboration, low in intelligent degree and the like can be overcome, and the reliability and the emergency processing capacity of the system can be remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of fire safety technology, and in particular to an energy storage fire intelligent monitoring system and method. Background Art

[0002] With the rapid development of the new energy industry, the application of energy storage systems in power systems is becoming more and more extensive. However, there are potential safety hazards in the actual operation of energy storage systems, especially thermal runaway and gas leakage that may occur during the charging and discharging process of batteries, which may lead to fire accidents. Traditional fire protection systems often have defects such as slow response speed, poor coordination of subsystems, and low intelligence, which make it difficult to meet the fire safety requirements of modern energy storage systems. In view of the above-mentioned problems, the inventor of this case conducted an in-depth study on the problem, which led to the creation of this case. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent monitoring system and method for energy storage fire protection, so as to solve the problems that traditional fire protection systems have defects such as slow response speed, poor coordination among subsystems, and low intelligence, and are difficult to meet the fire safety requirements of modern energy storage systems.

[0004] The present invention is achieved in that: In a first aspect, an energy storage fire intelligent monitoring system is provided, the system comprising a host in a warehouse and a plurality of distributed monitoring nodes, each monitoring node is provided with a sub-node device, and the sub-node device and the host in the warehouse perform two-way communication via a CAN bus; wherein: The sub-node device is used to collect environmental parameters and device status information of the monitoring node, and send the environmental parameters and device status information to the host in the warehouse; it is also used to receive control instructions from the host in the warehouse, and perform corresponding control operations based on the control instructions; The host in the warehouse is used to obtain the environmental parameters and equipment status information of each sub-node device in real time, perform abnormal detection on the collected environmental parameters and equipment status information according to the preset linkage control strategy, and automatically trigger the corresponding emergency processing mechanism when an abnormality is detected; it is also used to send control instructions including sampling frequency setting, threshold adjustment, working mode switching and emergency control to each sub-node device.

[0005] Furthermore, the host in the warehouse is also used for: Automatically scan and identify connected non-coding devices and obtain the device characteristics of non-coding devices; assign globally unique device codes and communication addresses to non-coding devices based on device characteristics and preset coding rules, and establish a mapping database between device codes and device characteristics to convert non-coding devices into identifiable and manageable sub-node devices; at the same time, dynamically assign communication priorities to newly connected devices based on device importance and function type.

[0006] Furthermore, the sub-node device specifically includes: The multi-parameter sensor module is used to collect the environmental parameters of the area where the energy storage device is located in real time according to the preset sampling frequency, and supports dynamic adjustment of the sampling frequency; A signal processing circuit, used for preprocessing the collected raw data; Communication circuit, used for two-way communication with the host in the warehouse through CAN bus to achieve data interaction and support data encryption transmission; The fire extinguishing execution device is used to execute relevant fire extinguishing operations according to the control instructions and to feedback the execution status information to the host in the warehouse.

[0007] Furthermore, it also includes: The remote communication module provided in the host in the warehouse is used to establish a communication connection with the remote control terminal to realize data interaction between the host in the warehouse and the remote control terminal; The remote control terminal is used to remotely monitor the system operating status, environmental parameters and equipment working status in real time; remotely configure and manage monitoring thresholds, sampling frequencies and linkage control strategies; classify and store, statistically analyze and trace back the system operating status, alarm events and processing processes, and support report export and data backup; adjust control parameters, linkage control strategies and emergency response mechanisms in real time according to system operating conditions and environmental changes; and provide remote system upgrades, fault diagnosis and maintenance management functions.

[0008] Furthermore, the above-mentioned abnormality detection of the collected environmental parameters and equipment status information according to the preset linkage control strategy, and automatically triggering the corresponding emergency processing mechanism when the abnormality is detected specifically includes: It adopts a priority-based multi-task time-sharing processing mechanism, realizes automatic reception and caching of CAN data through the built-in DMA channel, and uses the state machine in the main loop to sequentially process the data of each monitoring node; an independent double-buffered data area is configured for each monitoring node, and the ping-pong switching mechanism is used to realize data update, and a circular queue is used to store historical data; A threshold-based sliding average algorithm is used to calculate environmental parameters and equipment status information in real time. A 32-point average sliding window is used to filter data noise, and a three-level threshold is used to make status judgments. When an abnormality is detected, the corresponding emergency handling mechanism is matched from the linkage control strategy table pre-stored in the Flash according to the abnormality level and type, and control instructions are sent to related sub-node devices based on the priority mechanism, and related sub-node devices are coordinated to respond in linkage.

[0009] Furthermore, each sub-node device sends the environmental parameters and device status information to the host in the warehouse in turn according to the corresponding device code, establishes a circular buffer queue, and uses a precise time slice scheduling mechanism to send data.

[0010] Furthermore, a device-to-device communication mechanism based on the CAN2.0B protocol is adopted between the host and the sub-node devices in the warehouse, and a master-slave network topology structure is adopted.

[0011] Further, when an abnormality is detected, multiple sampling confirmation operations are performed.

[0012] Furthermore, the multi-parameter sensor module includes at least a temperature sensor, a CO sensor, a H2 sensor, a VOC sensor and a smoke sensor.

[0013] In a second aspect, a method for intelligent monitoring of energy storage firefighting is provided, wherein the method needs to use the above-mentioned intelligent monitoring system for energy storage firefighting, and the method comprises the following steps: The host in the warehouse is used to obtain the environmental parameters and equipment status information collected by the sub-node devices of each distributed monitoring node in real time. According to the preset multi-level linkage control strategy, the collected environmental parameters and equipment status information are detected for abnormalities, and the corresponding emergency processing mechanism is automatically triggered when an abnormality is detected; The host in the warehouse is used to send control instructions including sampling frequency setting, threshold adjustment, working mode switching and emergency control to each sub-node device, so that each sub-node device performs corresponding control operations based on the control instructions.

[0014] By adopting the technical solution of the present invention, not only can the defects of the traditional fire protection system such as slow response speed, poor coordination of subsystems, and low intelligence be solved, but also the reliability and emergency handling capabilities of the system can be significantly improved through distributed monitoring nodes and multi-level linkage mechanisms, thereby meeting the fire safety requirements of modern energy storage systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with embodiments with reference to the accompanying drawings.

[0016] Figure 1 This is an overall architecture diagram of an energy storage fire protection intelligent monitoring system of the present invention; Figure 2 is a diagram of an actual application scenario of the system in an embodiment of the present invention; Figure 3 It is a flowchart of implementing intelligent coding of a device in an embodiment of the present invention; Figure 4 It is a flowchart of the execution of an energy storage fire protection intelligent monitoring method of the present invention. DETAILED DESCRIPTION

[0017] In order to better understand the technical solution of the present invention, the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Embodiment 1

[0018] See also Figure 1 As shown, the present invention provides an energy storage fire intelligent monitoring system, the system includes a host in a warehouse and a plurality of distributed monitoring nodes, each monitoring node is an independent node, each monitoring node is provided with a sub-node device, and the sub-node device and the host in the warehouse perform two-way communication through a CAN bus; wherein: The sub-node device is used to collect environmental parameters and equipment status information of the monitoring node, and send the environmental parameters and equipment status information to the host in the warehouse; it is also used to receive control instructions from the host in the warehouse, and perform corresponding control operations based on the control instructions; wherein the environmental parameters and equipment status information may specifically include temperature change trend data of various areas where the energy storage equipment (such as a battery box or battery compartment) is located, real-time monitoring and cumulative change data of carbon monoxide (CO) concentration in the environment, concentration threshold and dynamic change data of hydrogen (H2) leakage detection, type identification and concentration monitoring data of volatile organic compounds (VOC), concentration detection and diffusion trend data of multi-point smoke sensors, charging and discharging status, power change and abnormal alarm data of energy storage equipment, working status, remaining amount of medicine and injection pressure data of fire extinguishing device, and of course, other data can also be collected according to actual needs during the specific implementation process; The host in the warehouse is used to obtain the environmental parameters and equipment status information of each sub-node device in real time, perform abnormal detection on the collected environmental parameters and equipment status information according to the preset linkage control strategy, and automatically trigger the corresponding emergency processing mechanism when an abnormality is detected; it is also used to send control instructions including sampling frequency setting, threshold adjustment, working mode switching and emergency control to each sub-node device.

[0019] In the present invention, if Figure 3 As shown, the host in the warehouse is also used to realize the intelligent coding function of the equipment, that is, to convert non-coding equipment into manageable equipment to realize automatic communication and management between equipment, specifically including: Automatically scan and identify connected non-coding devices, and obtain device characteristics of non-coding devices, including but not limited to hardware characteristics (such as hardware version number, etc.), device type, and communication interface information; According to the device characteristics and preset coding rules, a globally unique device code and communication address are assigned to non-coded devices, and a mapping database between device codes and device characteristics is established to convert non-coded devices into identifiable and manageable sub-node devices to achieve plug-and-play of devices. The plug-and-play mechanism can well realize automatic access, configuration and management of devices, and support hot-swap operations of devices. At the same time, each sub-node device has a globally unique device code to ensure that the data transmission of each sub-node device will not conflict with each other. At the same time, based on the importance and function type of the device, communication priority is dynamically assigned to the newly connected device to ensure real-time transmission of critical data.

[0020] In a specific implementation of the present invention, a base address offset addressing method can be used to combine and encode a preset CAN base address with a device ID in the range of 0-255; the host in the warehouse realizes the discovery of new devices (i.e., non-encoded devices) by broadcasting detection frames at a regular interval, and identifies them by detecting the initialization flag bit of a specific memory area of ​​the device, and if it is detected that the device does not have an initialization flag bit, the new device will return a response frame containing information such as the device type and hardware version number; the host in the warehouse selects the smallest unoccupied address from the pre-allocated address pool (0x00-0xFF) and assigns it to the new device, completes the initialization operation of the new device, and establishes a mapping record of the device address and the device characteristics in the device information table of the internal Flash.

[0021] In the present invention, the sub-node device specifically includes: The multi-parameter sensor module is used to collect environmental parameters of the area where the energy storage device is located in real time according to a preset sampling frequency, and supports dynamic adjustment of the sampling frequency to better meet a variety of different usage requirements; in the specific implementation of the present invention, the multi-parameter sensor module at least includes: Temperature sensor, specifically a high-precision temperature sensor array, is used to monitor the temperature distribution and change trend of each area where the energy storage device is located in real time, supporting temperature detection with an accuracy of 0.1°C; CO sensor, specifically, a selective carbon monoxide sensor, which has fast response and high sensitivity and can detect concentrations in the range of 1-1000ppm; H2 sensor, i.e. hydrogen leak detection sensor, adopts catalytic combustion principle and supports real-time monitoring of hydrogen concentration in the range of 0-1000ppm; VOC sensors, or volatile organic compound sensors, have the ability to identify a variety of organic compounds and can detect gas concentrations at the ppb level; The smoke sensor may specifically be a photoelectric smoke sensor, which utilizes the infrared scattering principle and has ultra-low false alarm rate and fast response characteristics.

[0022] The signal processing circuit is used to pre-process the collected raw data, which may include filtering, amplification, digitization and other processing operations to eliminate interference and abnormal values.

[0023] The communication circuit is used to realize data interaction through two-way communication with the host in the warehouse through the CAN bus, and supports data encryption transmission.

[0024] The fire extinguishing execution device is used to execute relevant fire extinguishing operations according to the control instructions, such as executing directional fire extinguishing, ventilation and heat dissipation and other emergency processing operations according to the control instructions, and feeding back the execution status information to the host in the warehouse; at the same time, the fire extinguishing execution device can support a variety of fire extinguishing media and adjust the injection parameters to achieve precise directional fire extinguishing.

[0025] In some embodiments of the present invention, the system further comprises: The remote communication module provided in the host in the warehouse is used to establish a communication connection with the remote control terminal to realize data interaction between the host in the warehouse and the remote control terminal. When the present invention is implemented, the remote communication module can specifically adopt a 4G communication module and realize data transmission through an encrypted 4G communication channel. The data interaction between the host in the warehouse and the remote control terminal can include transmitting the system operation status, environmental parameters and equipment working status to the remote control terminal, sending remote control instructions to the host in the warehouse, etc.

[0026] The remote control terminal is used to remotely monitor the system operation status, environmental parameters and equipment working status in real time, and supports multi-terminal device access and authority management; remotely configure and manage the monitoring threshold (i.e. the monitoring threshold of each sensor), sampling frequency and linkage control strategy; classify and store the system operation status, alarm events and processing processes, statistically analyze and trace back, and support report export and data backup; adjust the control parameters, linkage control strategy and emergency handling mechanism in real time according to the system operation status and environmental changes; provide remote system upgrade, fault diagnosis and maintenance management functions, specifically, intelligent algorithms can be used to analyze the system operation data, so as to realize fault warning, diagnosis and positioning, predictive maintenance and other functions, and ensure the continuous optimization and reliable operation of the system; when the present invention is implemented, the remote control terminal can send remote control instructions to the host in the warehouse. After receiving the remote control instructions, the host in the warehouse will verify the instructions to ensure the legality and safety of the instructions, and at the same time perform corresponding operations according to the remote control instructions, such as adjusting control parameters, linkage control strategies, emergency handling mechanisms, etc.

[0027] The functions of the remote control terminal are further described below: Database management can adopt a distributed database architecture, support local and remote data storage, realize hierarchical storage and automatic archiving of data, provide real-time data query and historical tracing capabilities, support regular data backup and disaster recovery, and have data integrity verification and exception repair functions. In terms of human-computer interaction, a cross-platform operation interface based on Web technology can be adopted, supporting remote access from PC and mobile terminals, providing a visual system configuration and monitoring interface, realizing real-time push and confirmation of alarm information, and supporting multi-language interface switching. In terms of maintenance management, it supports predictive maintenance and life assessment of equipment, provides remote diagnosis and fault location functions, realizes automatic backup and recovery of system parameters, has software version management and rollback capabilities, and supports real-time recording and analysis of system operation logs.

[0028] In the present invention, the abnormality detection of the collected environmental parameters and equipment status information according to the preset linkage control strategy, and automatically triggering the corresponding emergency processing mechanism when the abnormality is detected specifically includes: The priority-based multi-task time-sharing processing mechanism is adopted. The priority-based multi-task time-sharing processing mechanism is a common task scheduling strategy, which is widely used in operating systems, real-time systems and embedded systems. The built-in DMA channel is used to realize the automatic reception and caching of CAN data. The state machine is used in the main loop to sequentially process the data of each monitoring node; an independent double-buffered data area is configured for each monitoring node, and the ping-pong switching mechanism is used to realize data update, and a circular queue is used to store historical data; A threshold-based sliding average algorithm is used to calculate environmental parameters and equipment status information in real time, a 32-point average sliding window is used to filter data noise, and a three-level threshold (including warning value, minor alarm value and severe alarm value) is used to make status judgments, that is, an intelligent algorithm is used to analyze and process the collected data, so as to achieve accurate identification of abnormal states and assessment of risk levels; when an abnormality is detected, the corresponding emergency handling mechanism is matched from the linkage control strategy table pre-stored in the Flash according to the abnormality level (for example, the abnormality level can be divided into levels 1-4) and the abnormality type (such as temperature abnormality, gas exceeding the standard, etc.), and control instructions are sent to related sub-node devices based on the priority mechanism, and related sub-node devices are coordinated to respond in linkage.

[0029] Furthermore, in the specific implementation of the present invention, when an abnormality is detected, multiple sampling confirmation operations are performed. For example, when an abnormality is detected, three sampling confirmation operations can be performed to avoid false alarms, and after the fire is confirmed, a control instruction can be immediately sent to the relevant monitoring node to start the fire extinguishing execution device, and the energy storage system can be switched to the emergency processing mode, and an event log containing timestamp, alarm type, and processing measures can be recorded in the event recording area (the last 64K space of Flash).

[0030] In the present invention, each sub-node device sends the environmental parameters and device status information to the host in the warehouse in turn according to the corresponding device code, establishes a circular buffer queue, and adopts a precise time slice scheduling mechanism to send data, so that each data transmission cycle is strictly limited to the starting position of the 1 millisecond time slice for triggering, thereby effectively avoiding CAN bus arbitration conflicts and bus congestion caused by excessive data transmission. At the same time, the frame priority arbitration mechanism and message confirmation mechanism of the CAN protocol can be fully utilized to ensure the reliability and real-time performance of data transmission.

[0031] In the present invention, the host and sub-node devices in the warehouse adopt an inter-device communication mechanism based on the CAN2.0B protocol, and adopt a master-slave network topology structure, supporting a maximum of 64 nodes to access, and a configurable communication rate, supporting up to 1Mbps data transmission, realizing data frame priority management and conflict arbitration, and supporting broadcast and point-to-point message transmission modes.

[0032] In addition, the system of the present invention may also include: Fire alarm controller, with real-time acquisition and preprocessing functions of multi-parameter sensor data, fire alarm and combustible gas alarm linkage functions based on multiple judgment mechanisms, remote data transmission interface supporting 4G / 5G communication, print output interface for system operation logs and alarm records, and temperature closed-loop control interface for intelligent cooling system; The fire alarm host is installed in the fire control room and integrates a 4G / 5G dual-mode communication module to achieve high-speed and stable transmission of system data. It supports multi-channel high-definition video access and fire detection interfaces for intelligent image analysis, provides remote upgrade and parameter configuration functions for system software and hardware, has a complete data encryption and security authentication mechanism, and supports multi-level authority management and operation audit functions; The system programming host computer provides a graphical remote debugging interface, supports real-time monitoring and adjustment of system parameters, and a system configuration function based on a modular architecture, supports flexible function customization and expansion, and complete system testing and performance evaluation functions, including communication testing, sensor calibration, control strategy verification, etc., as well as intelligent alarm threshold setting and device association configuration functions, supporting scenario-based applications; The energy storage module of the smart fire protection platform realizes the complete equipment life cycle archive management function, including equipment information, maintenance records, fault history, etc., supports remote upgrades and parameter configurations of system components, ensures continuous optimization of the system, and has multi-dimensional status data real-time monitoring and intelligent analysis functions. It supports predictive maintenance and provides intuitive system operation status display and decision support based on the big data visualization display platform.

[0033] like Figure 2 As shown, in specific applications, the system of the present invention can continuously monitor the operating status of the energy storage device, collect environmental parameters in real time, and remotely view the system operating status in the daily monitoring mode. In the early warning response mode, when abnormal parameters are detected, an early warning will be triggered, and the operating parameters of the energy storage device will be automatically adjusted to prepare to start the emergency treatment mechanism. In the emergency treatment mode, when the fire is confirmed, the fire extinguishing device can be automatically started, the emergency treatment process will be executed, and the entire event processing process will be recorded.

[0034] The present invention is further introduced in terms of system hardware, software system and communication system as follows: In terms of system hardware implementation, the host in the warehouse uses an ARM Cortex-M3 industrial-grade microprocessor with a main frequency of 120MHz, built-in 1MB Flash and 128KB SRAM, and integrates CAN, UART, SPI and other communication peripherals and 12-bit ADC on the chip, supporting real-time debugging and online program updates. The key sensors adopt a dual redundant design. Each measuring point is equipped with two groups of sensors of the same model for data collection. By comparing the deviation values ​​of the two groups of data, the sensor failure is automatically determined and switched to the backup channel. The power supply system is equipped with a UPS backup power supply with a capacity of ≥2 hours and a power failure detection circuit, which automatically switches to the backup power supply when the city power is cut off. All electronic components use industrial-grade -40℃~+85℃ temperature range products to improve the reliability of the system in harsh environments.

[0035] In terms of software system implementation, a layered modular architecture is adopted. The bottom layer completes hardware drive and data acquisition, the middle layer implements data processing and state management, and the application layer executes control strategies and fault handling. The system implements multi-task scheduling based on a finite state machine, improves real-time performance through hardware interrupts and DMA channels, and uses CRC checksums to ensure reliability for key data transmission. The system performs real-time filtering on the collected sensor data, uses an 8-point median filter to eliminate outliers, and a 32-point sliding average to smooth data fluctuations, and combines preset multi-level alarm thresholds to achieve abnormal state detection.

[0036] In terms of the communication system, data interaction between devices is realized based on the CAN2.0B protocol, and a master-slave network topology is adopted. A maximum of 200 nodes can be connected at the same time, and the communication rate can be configured to 250kbps. The frame priority mechanism of the CAN protocol is used to ensure the real-time transmission of key data, and point-to-point and broadcast communication modes are supported. The system stores key data, control parameters and log information in Flash partitions, and implements power-off protection through the backup area.

[0037] In summary, by adopting the above technical solution of the present invention, at least the following beneficial effects are achieved: In terms of system integration, an integrated design of the energy storage fire protection system has been realized, with monitoring, control, and communication functions highly integrated. A multi-level linkage mechanism has been established, and the system response efficiency and reliability have been improved through a distributed node architecture. It supports intelligent coding and automatic configuration of equipment, greatly simplifies the difficulty of system management, and adopts a modular design to facilitate system expansion and maintenance upgrades.

[0038] In terms of monitoring and control, it realizes coordinated monitoring of multiple parameters such as temperature and gas, significantly improves the accuracy and timeliness of early warning, supports intelligent control strategies, automatically triggers emergency response mechanisms based on preset linkage control strategies, has remote monitoring and diagnosis capabilities, realizes unattended operation and maintenance of the system, and uses CAN bus communication to ensure the real-time and reliability of data transmission.

[0039] In terms of management and maintenance, it provides complete equipment file management functions, realizes equipment full life cycle management, supports remote system upgrade and configuration, significantly reduces maintenance costs and workload, has intelligent data analysis functions, provides a basis for system optimization and decision-making, supports alarm record management and fault diagnosis, and improves system reliability.

[0040] In terms of innovative applications, it solves the problem of slow response speed of traditional energy storage fire protection systems, breaks through the technical bottleneck of low intelligence level of traditional systems, realizes plug-and-play and intelligent management of equipment, and supports flexible configuration and scenario-based application of the system.

[0041] In terms of economic and social benefits, it significantly improves the fire safety level of energy storage facilities, greatly reduces the system's operation and maintenance costs and manpower input, and improves the operating efficiency and reliability of the energy storage system. It has broad market application prospects and promotion value.

[0042] Therefore, the technical solution of the present invention can not only solve the defects of traditional fire protection systems such as slow response speed, poor coordination of subsystems, and low degree of intelligence, but also significantly improve the reliability and emergency handling capabilities of the system through distributed monitoring nodes and multi-level linkage mechanisms, thereby meeting the fire safety requirements of modern energy storage systems. Embodiment 2

[0043] See also Figure 4 As shown, the present invention provides an energy storage fire intelligent monitoring method, the method needs to use an energy storage fire intelligent monitoring system, the specific structure and beneficial effects of the energy storage fire intelligent monitoring system can be referred to the detailed introduction of the first embodiment, which will not be repeated here; the method comprises the following steps: The host in the warehouse is used to obtain in real time the environmental parameters and equipment status information collected by the sub-node devices of each distributed monitoring node. According to the preset multi-level linkage control strategy, the collected environmental parameters and equipment status information are detected for abnormalities, and the corresponding emergency handling mechanism is automatically triggered when an abnormality is detected; wherein, the environmental parameters and equipment status information may specifically include the temperature change trend data of each area where the energy storage equipment (such as the battery box or battery compartment) is located, the real-time monitoring and cumulative change data of the carbon monoxide (CO) concentration in the environment, the concentration threshold and dynamic change data of hydrogen (H2) leakage detection, the type identification and concentration monitoring data of volatile organic compounds (VOC), the concentration detection and diffusion trend data of multi-point smoke sensors, the charging and discharging status, power change and abnormal alarm data of the energy storage equipment, the working status, remaining amount and injection pressure data of the fire extinguishing device. Of course, other data can also be collected according to actual needs during the specific implementation process; The host in the warehouse is used to send control instructions including sampling frequency setting, threshold adjustment, working mode switching and emergency control to each sub-node device, so that each sub-node device performs corresponding control operations based on the control instructions.

[0044] In the present invention, the method also includes receiving system startup instructions, executing equipment self-check and communication test operations to ensure that all components of the system are working properly, while supporting online calibration and verification of sensors, providing system performance evaluation and stress testing functions, having fault simulation and emergency drill capabilities, and realizing automatic generation and archiving of test reports.

[0045] In the present invention, if Figure 3 As shown, the method also includes intelligent coding of devices, that is, converting non-coding devices into manageable devices to achieve automatic communication and management between devices, specifically including: Automatically scan and identify connected non-coding devices, and obtain device characteristics of non-coding devices, including but not limited to hardware characteristics (such as hardware version number, etc.), device type, and communication interface information; According to the device characteristics and preset coding rules, a globally unique device code and communication address are assigned to non-coded devices, and a mapping database between device codes and device characteristics is established to convert non-coded devices into identifiable and manageable sub-node devices to achieve plug-and-play of devices. The plug-and-play mechanism can well realize automatic access, configuration and management of devices, and support hot-swap operations of devices. At the same time, each sub-node device has a globally unique device code to ensure that the data transmission of each sub-node device will not conflict with each other. At the same time, based on the importance and function type of the device, communication priority is dynamically assigned to the newly connected device to ensure real-time transmission of critical data.

[0046] In a specific implementation of the present invention, a base address offset addressing method can be used to combine and encode a preset CAN base address with a device ID in the range of 0-255; the host in the warehouse realizes the discovery of new devices (i.e., non-encoded devices) by broadcasting detection frames at a regular interval, and identifies them by detecting the initialization flag bit of a specific memory area of ​​the device, and if it is detected that the device does not have an initialization flag bit, the new device will return a response frame containing information such as the device type and hardware version number; the host in the warehouse selects the smallest unoccupied address from the pre-allocated address pool (0x00-0xFF) and assigns it to the new device, completes the initialization operation of the new device, and establishes a mapping record of the device address and the device characteristics in the device information table of the internal Flash.

[0047] In the present invention, the sub-node device specifically includes: The multi-parameter sensor module is used to collect environmental parameters of the area where the energy storage device is located in real time according to a preset sampling frequency, and supports dynamic adjustment of the sampling frequency to better meet a variety of different usage requirements; in the specific implementation of the present invention, the multi-parameter sensor module at least includes: Temperature sensor, specifically a high-precision temperature sensor array, is used to monitor the temperature distribution and change trend of each area where the energy storage device is located in real time, supporting temperature detection with an accuracy of 0.1°C; CO sensor, specifically, a selective carbon monoxide sensor, which has fast response and high sensitivity and can detect concentrations in the range of 1-1000ppm; H2 sensor, i.e. hydrogen leak detection sensor, adopts catalytic combustion principle and supports real-time monitoring of hydrogen concentration in the range of 0-1000ppm; VOC sensors, or volatile organic compound sensors, have the ability to identify a variety of organic compounds and can detect gas concentrations at the ppb level; The smoke sensor may specifically be a photoelectric smoke sensor, which utilizes the infrared scattering principle and has ultra-low false alarm rate and fast response characteristics.

[0048] The signal processing circuit is used to pre-process the collected raw data, which may include filtering, amplification, digitization and other processing operations to eliminate interference and abnormal values.

[0049] The communication circuit is used to realize data interaction through two-way communication with the host in the warehouse through the CAN bus, and supports data encryption transmission.

[0050] The fire extinguishing execution device is used to execute relevant fire extinguishing operations according to the control instructions, such as executing directional fire extinguishing, ventilation and heat dissipation and other emergency processing operations according to the control instructions, and feeding back the execution status information to the host in the warehouse; at the same time, the fire extinguishing execution device can support a variety of fire extinguishing media and adjust the injection parameters to achieve precise directional fire extinguishing.

[0051] In some embodiments of the present invention, the method further comprises: The 4G communication module of the host in the warehouse is used to establish a communication connection with the remote control terminal to realize data interaction with the remote control terminal. When the present invention is implemented, the remote communication module can specifically adopt a 4G communication module, and realize data transmission through an encrypted 4G communication channel. The data interaction between the host in the warehouse and the remote control terminal can include transmitting the system operation status, environmental parameters and equipment working status to the remote control terminal, sending remote control instructions to the host in the warehouse, etc.

[0052] The system operation status, environmental parameters and equipment working status are remotely monitored in real time by using a remote control terminal, and multi-terminal device access and authority management are supported; monitoring thresholds (i.e., monitoring thresholds of each sensor), sampling frequencies and linkage control strategies are remotely configured and managed; system operation status, alarm events and processing processes are classified, stored, statistically analyzed and traced, and report export and data backup are supported; control parameters, linkage control strategies and emergency response mechanisms are adjusted in real time according to system operation conditions and environmental changes; remote system upgrade, fault diagnosis and maintenance management functions are provided, and intelligent algorithms can be used to analyze system operation data to achieve fault warning, diagnosis and positioning, predictive maintenance and other functions, so as to ensure continuous optimization and reliable operation of the system; in the specific implementation of the present invention, remote control instructions can be sent to the host in the warehouse through the remote control terminal. After receiving the remote control instructions, the host in the warehouse will verify the instructions to ensure the legality and security of the instructions, and at the same time, corresponding operations are performed according to the remote control instructions, such as adjusting control parameters, linkage control strategies, emergency response mechanisms, etc.

[0053] The functions of the remote control terminal are further described below: Database management can adopt a distributed database architecture, support local and remote data storage, realize hierarchical storage and automatic archiving of data, provide real-time data query and historical tracing capabilities, support regular data backup and disaster recovery, and have data integrity verification and exception repair functions. In terms of human-computer interaction, a cross-platform operation interface based on Web technology can be adopted, supporting remote access from PC and mobile terminals, providing a visual system configuration and monitoring interface, realizing real-time push and confirmation of alarm information, and supporting multi-language interface switching. In terms of maintenance management, it supports predictive maintenance and life assessment of equipment, provides remote diagnosis and fault location functions, realizes automatic backup and recovery of system parameters, has software version management and rollback capabilities, and supports real-time recording and analysis of system operation logs.

[0054] In the present invention, the abnormality detection of the collected environmental parameters and equipment status information according to the preset linkage control strategy, and automatically triggering the corresponding emergency processing mechanism when the abnormality is detected specifically includes: The priority-based multi-task time-sharing processing mechanism is adopted. The priority-based multi-task time-sharing processing mechanism is a common task scheduling strategy, which is widely used in operating systems, real-time systems and embedded systems. The built-in DMA channel is used to realize the automatic reception and caching of CAN data. The state machine is used in the main loop to sequentially process the data of each monitoring node; an independent double-buffered data area is configured for each monitoring node, and the ping-pong switching mechanism is used to realize data update, and a circular queue is used to store historical data; A threshold-based sliding average algorithm is used to calculate environmental parameters and equipment status information in real time, a 32-point average sliding window is used to filter data noise, and a three-level threshold (including warning value, minor alarm value and severe alarm value) is used to make status judgments, that is, an intelligent algorithm is used to analyze and process the collected data, so as to achieve accurate identification of abnormal states and assessment of risk levels; when an abnormality is detected, the corresponding emergency handling mechanism is matched from the linkage control strategy table pre-stored in the Flash according to the abnormality level (for example, the abnormality level can be divided into levels 1-4) and the abnormality type (such as temperature abnormality, gas exceeding the standard, etc.), and control instructions are sent to related sub-node devices based on the priority mechanism, and related sub-node devices are coordinated to respond in linkage.

[0055] Furthermore, in the specific implementation of the present invention, when an abnormality is detected, multiple sampling confirmation operations are performed. For example, when an abnormality is detected, three sampling confirmation operations can be performed to avoid false alarms, and after the fire is confirmed, a control instruction can be immediately sent to the relevant monitoring node to start the fire extinguishing execution device, and the energy storage system can be switched to the emergency processing mode, and an event log containing timestamp, alarm type, and processing measures can be recorded in the event recording area (the last 64K space of Flash).

[0056] In the present invention, each sub-node device sends the environmental parameters and device status information to the host in the warehouse in turn according to the corresponding device code, establishes a circular buffer queue, and adopts a precise time slice scheduling mechanism to send data, so that each data transmission cycle is strictly limited to the starting position of the 1 millisecond time slice for triggering, thereby effectively avoiding CAN bus arbitration conflicts and bus congestion caused by excessive data transmission. At the same time, the frame priority arbitration mechanism and message confirmation mechanism of the CAN protocol can be fully utilized to ensure the reliability and real-time performance of data transmission.

[0057] In the present invention, the host and sub-node devices in the warehouse adopt an inter-device communication mechanism based on the CAN2.0B protocol, and adopt a master-slave network topology structure, supporting a maximum of 64 nodes to access, and a configurable communication rate, supporting up to 1Mbps data transmission, realizing data frame priority management and conflict arbitration, and supporting broadcast and point-to-point message transmission modes.

[0058] Although the specific implementation modes of the present invention are described above, those skilled in the art should understand that the specific implementation modes described are only illustrative and are not intended to limit the scope of the present invention. Equivalent modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. An energy storage fire intelligent monitoring system, characterized by: The system includes a host in the warehouse and a plurality of distributed monitoring nodes, each monitoring node is provided with a sub-node device, and the sub-node device and the host in the warehouse perform two-way communication via a CAN bus; wherein: The sub-node device is used to collect environmental parameters and device status information of the monitoring node, and send the environmental parameters and device status information to the host in the warehouse; it is also used to receive control instructions from the host in the warehouse, and perform corresponding control operations based on the control instructions; The host in the warehouse is used to obtain the environmental parameters and equipment status information of each sub-node device in real time, perform abnormal detection on the collected environmental parameters and equipment status information according to the preset linkage control strategy, and automatically trigger the corresponding emergency processing mechanism when an abnormality is detected; it is also used to send control instructions including sampling frequency setting, threshold adjustment, working mode switching and emergency control to each sub-node device.

2. The energy storage fire intelligent monitoring system according to claim 1, characterized in that: The host in the warehouse is also used for: Automatically scan and identify connected non-coding devices and obtain the device characteristics of non-coding devices; assign globally unique device codes and communication addresses to non-coding devices based on device characteristics and preset coding rules, and establish a mapping database between device codes and device characteristics to convert non-coding devices into identifiable and manageable sub-node devices; at the same time, dynamically assign communication priorities to newly connected devices based on device importance and function type.

3. The energy storage fire intelligent monitoring system according to claim 1, characterized in that: The sub-node device specifically includes: The multi-parameter sensor module is used to collect the environmental parameters of the area where the energy storage device is located in real time according to the preset sampling frequency, and supports dynamic adjustment of the sampling frequency; A signal processing circuit, used for preprocessing the collected raw data; Communication circuit, used for two-way communication with the host in the warehouse through CAN bus to achieve data interaction and support data encryption transmission; The fire extinguishing execution device is used to execute relevant fire extinguishing operations according to the control instructions and to feedback the execution status information to the host in the warehouse.

4. The energy storage fire intelligent monitoring system according to claim 1, characterized in that: Also includes: The remote communication module provided in the host in the warehouse is used to establish a communication connection with the remote control terminal to realize data interaction between the host in the warehouse and the remote control terminal; The remote control terminal is used to remotely monitor the system operating status, environmental parameters and equipment working status in real time; remotely configure and manage monitoring thresholds, sampling frequencies and linkage control strategies; classify and store, statistically analyze and trace back the system operating status, alarm events and processing processes, and support report export and data backup; adjust control parameters, linkage control strategies and emergency response mechanisms in real time according to system operating conditions and environmental changes; and provide remote system upgrades, fault diagnosis and maintenance management functions.

5. The energy storage fire intelligent monitoring system according to claim 1, characterized in that: The method of performing abnormality detection on the collected environmental parameters and equipment status information according to the preset linkage control strategy and automatically triggering the corresponding emergency processing mechanism when an abnormality is detected specifically includes: It adopts a priority-based multi-task time-sharing processing mechanism, realizes automatic reception and caching of CAN data through the built-in DMA channel, and uses the state machine in the main loop to sequentially process the data of each monitoring node; an independent double-buffered data area is configured for each monitoring node, and the ping-pong switching mechanism is used to realize data update, and a circular queue is used to store historical data; A threshold-based sliding average algorithm is used to calculate environmental parameters and equipment status information in real time. A 32-point average sliding window is used to filter data noise, and a three-level threshold is used to make status judgments. When an abnormality is detected, the corresponding emergency handling mechanism is matched from the linkage control strategy table pre-stored in the Flash according to the abnormality level and type, and control instructions are sent to related sub-node devices based on the priority mechanism, and related sub-node devices are coordinated to respond in linkage.

6. The energy storage fire intelligent monitoring system according to claim 2, characterized in that: Each sub-node device sends the environmental parameters and device status information to the host in the warehouse in turn according to the corresponding device code, establishes a circular buffer queue, and uses a precise time slice scheduling mechanism to send data.

7. The energy storage fire intelligent monitoring system according to claim 1, characterized in that: The host and the sub-node devices in the warehouse adopt an inter-device communication mechanism based on the CAN2.0B protocol, and a master-slave network topology structure.

8. The energy storage fire intelligent monitoring system according to claim 5, characterized in that: When an abnormality is detected, multiple sampling confirmation operations are performed.

9. The energy storage fire intelligent monitoring system according to claim 3, characterized in that: The multi-parameter sensor module includes at least a temperature sensor, a CO sensor, a H2 sensor, a VOC sensor and a smoke sensor.

10. An intelligent monitoring method for energy storage fire protection, characterized in that: The method requires the use of the energy storage fire intelligent monitoring system as described in any one of claims 1 to 9; the method comprises the following steps: The host in the warehouse is used to obtain the environmental parameters and equipment status information collected by the sub-node devices of each distributed monitoring node in real time. According to the preset multi-level linkage control strategy, the collected environmental parameters and equipment status information are detected for abnormalities, and the corresponding emergency processing mechanism is automatically triggered when an abnormality is detected; The host in the warehouse is used to send control instructions including sampling frequency setting, threshold adjustment, working mode switching and emergency control to each sub-node device, so that each sub-node device performs corresponding control operations based on the control instructions.

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