An emergency response early warning system for sudden combustion events
By integrating multi-source data and automating processing, the problem of insufficient identification of complex precursor signals in the early stage of battery thermal runaway by existing monitoring systems has been solved, enabling accurate early warning and rapid emergency response, preventing secondary risks, and improving cross-departmental collaboration efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF ATMOSPHERIC PHYSICS CHINESE ACADEMY SCI
- Filing Date
- 2025-12-16
- Publication Date
- 2026-04-14
AI Technical Summary
Existing monitoring systems are unable to identify complex precursor signals in the very early stages of battery thermal runaway, have inaccurate risk classification, lack multi-source data fusion analysis, and have low cross-entity collaboration efficiency, resulting in delayed emergency response and insufficient secondary risk management.
It employs a multi-source data access module, an anomaly indicator preset module, a field benchmarking module, a multi-signal comprehensive judgment module, an automatic response script module, an action review and automatic upgrade module, an external collaborative notification information package module, and a reignition monitoring and recovery judgment module to achieve multi-signal weighted fusion classification and anomaly acceleration trend benchmarking, enabling very early and accurate early warning and multi-level automatic handling.
It enables early identification of signs of thermal runaway, accurate differentiation of risk states, automatic execution of response actions, rapid dissemination of emergency information, prevention of reignition and secondary explosion risks, and improvement of cross-departmental collaboration efficiency.
Smart Images

Figure CN121438538B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of emergency management technology, specifically to an emergency response and early warning system for sudden fire and explosion events. Background Technology
[0002] The global energy structure transformation and the rapid development of the electric vehicle industry have led to a continuous increase in the deployment scale and power density of lithium-ion battery energy storage systems and centralized electric vehicle charging sites, which are key components of new energy infrastructure. However, the risk of thermal runaway associated with high-density energy storage is increasingly becoming a major safety challenge for the industry. Once thermal runaway occurs, it can easily lead to sudden combustion and explosion events such as fires, resulting in enormous property damage and casualties.
[0003] The main challenges facing existing technologies are:
[0004] Early warning lag: Existing monitoring systems mainly rely on smoke, flames or increased equipment surface temperature to trigger alarms. They are not easy to identify complex precursor signals such as internal gas escape or minor voltage anomalies in the very early stages of battery thermal runaway. This results in a short safety window for operators to take initial action such as power outages and cooling.
[0005] Inaccurate risk classification: Existing systems typically issue simple alarms based on a single parameter threshold, lacking a fusion analysis and weighted judgment mechanism based on multi-source data collection. This makes it impossible to accurately distinguish between different risk states such as equipment overload and impending violent combustion, resulting in insufficient reliability of emergency response strategies.
[0006] The problem of insufficient secondary risk management: After the initial handling of an emergency, the existing system cannot automatically or continuously switch to a dedicated safety monitoring mode to track key indicators such as the temperature drop trend and the concentration of residual combustible gas. Therefore, it is not easy to effectively prevent the risk of reignition or secondary explosion that may be caused by thermal runaway.
[0007] The problem of low efficiency in cross-entity collaboration: The existing early warning system lacks a unified and automated information interface and push mechanism with the operation and management platform, the park security system and external fire protection forces. It is unable to quickly generate standardized summaries based on the early warning level and automatically notify all parties, resulting in slow initiation of emergency response processes by multiple departments.
[0008] To address the aforementioned problems, this invention proposes an emergency response and early warning system for sudden combustion and explosion incidents. This system achieves extremely early and accurate early warning and multi-level automatic response through multi-signal weighted fusion and hierarchical classification, as well as benchmarking against abnormal acceleration trends. Furthermore, it can verify and escalate warnings and monitor safety recovery. Summary of the Invention
[0009] To address the shortcomings of existing technologies, this invention provides an emergency response and early warning system for sudden combustion and explosion events, thereby resolving the problems mentioned in the background section.
[0010] To achieve the above objectives, the present invention provides the following technical solution: an emergency response and early warning system for sudden combustion and explosion events, comprising:
[0011] The multi-source data access module is used to collect target equipment data and environmental reference equipment data from energy storage devices or centralized charging sites in real time, including temperature, current, voltage, fan status, and smoke / odor sensor data, and to preprocess the collected target equipment data and environmental reference equipment data.
[0012] Anomaly indicator preset module, used to preset composite anomaly indicators and risk classification standards that characterize early signs of thermal runaway;
[0013] The same-field benchmarking module calculates the abnormal acceleration trend of the target device relative to the environmental benchmark device in real time based on the collected target device data and environmental benchmark device data, and generates abnormal indicators.
[0014] The multi-signal integrated judgment module is used to receive abnormal indicators, temperature changes, current fluctuations and smoke / odor trigger status signals, perform weighted fusion calculations, output risk scores and credibility, and classify multiple risk levels according to the risk score range.
[0015] The automatic response script module is used to receive the output risk level and automatically execute the corresponding sequence of actions.
[0016] The action review and automatic escalation module is used to monitor the trend of risk score changes after execution, determine whether the action is effective, and if it is deemed ineffective, issue an automatic escalation command to execute a higher-level script.
[0017] The external collaborative notification information package module is used to receive risk level and action information, automatically generate a standardized information summary containing site number, risk level and recommended isolation range, and push it to the operator, fire department and park management.
[0018] The reignition monitoring and recovery determination module is used to automatically switch to continuous safety monitoring mode after the handling action is completed, calculate stability indicators, and output a safe recovery operation determination based on the result that the stability indicators are lower than the preset threshold for a certain period of time.
[0019] Preferably, the multi-signal integrated judgment module divides the risk level into three levels: Level 1, Level 2, and Level 3, wherein:
[0020] The response sequence for a Level 1 risk level is to reduce power or increase ventilation.
[0021] The sequence of actions corresponding to a level 2 risk is to cut off the power supply to the relevant circuit or to activate local cooling.
[0022] The response sequence for a Level 3 risk level is to either cut off power to the affected area or activate external fire-fighting linkage.
[0023] Preferably, in the sequence of actions executed by the automatic response script module, the first-level and second-level scripts are local control actions, which are designed to limit the scope of the action to a single cabinet or a single area to avoid a complete shutdown of the entire station.
[0024] Preferably, the peer benchmarking module further includes:
[0025] The reference difference calculation unit is used to receive the target device. and environmental benchmark equipment Real-time monitoring data set, calculating the target device and environmental reference device at the same time. real-time difference ;
[0026] The real-time difference The calculation formula can be limited to:
[0027] ,
[0028] in, For the selected monitoring parameters, For the target device in The parameter value at time; For environmental benchmark equipment The parameter value at time;
[0029] An abnormal change trend calculation unit is used to receive the real-time difference. The real-time difference is calculated using a moving weighted average or exponential smoothing algorithm. Perform smoothing and calculate the first derivative of the smoothed difference with respect to time. and second derivative The first and second derivatives are used to characterize the real-time difference. The rate of change and the accelerating trend;
[0030] The real-time difference Smoothing It can be limited to:
[0031] ,
[0032] in, for The smoothing value at time, For smoothing coefficients;
[0033] The discrete approximation formula for the second derivative can be limited to:
[0034] ,
[0035] in, For time intervals;
[0036] Anomaly indicator determination unit, used to receive the first derivative. and second derivative And the second derivative As the main abnormal indicator ,in, Characterizing an abnormally accelerated trend of change, when the second derivative... and first derivative When the value exceeds the preset threshold, an abnormal indicator is confirmed. The effectiveness;
[0037] The criteria for determining the validity of abnormal indicators can be limited to:
[0038] Abnormal indicators are effective ,
[0039] in, The first derivative threshold, The second derivative threshold, For logical AND operations.
[0040] Preferably, the multi-signal integrated determination module further includes:
[0041] A multi-parameter input normalization unit is used to receive the output anomaly indicators. absolute temperature change Current fluctuation amplitude and smoke / odor trigger state The four signals are mapped to a unified risk score range using a min-max method. Internally, a normalized set of risk parameters is generated. ;
[0042] Risk parameters The minimum-maximum normalization formula can be constrained as follows:
[0043] ,
[0044] in, The normalized risk parameter, These are the original parameter values. The minimum limit value, This is the maximum limit value;
[0045] The risk score calculation unit receives a normalized set of risk parameters. The risk parameters in the risk parameter set are weighted and summed to output the final risk score. The risk score The formula for weighted summation can be limited to:
[0046] ,
[0047] in, Normalized outlier indicators The weight, Normalized temperature change The weight, For normalized current fluctuation The weight, Normalized smoke / odor trigger The weights;
[0048] The credibility assessment unit is used to evaluate the risk score based on the integrity and consistency of the input signal. Credibility Among them, the reliability is high when the input signal is missing or the contradiction between the signals is high. reduce;
[0049] The credibility The simplified evaluation criteria can be limited to:
[0050] ,
[0051] Risk level determination unit, used to receive the risk score and credibility Risk scores are assigned according to risk grading standards. It is classified into multiple risk levels, where: when the risk score When the threshold for the next level is reached, if the credibility... for This will trigger a delay assessment or lower the threshold, and the final risk level will be output to the automatic response script module.
[0052] Risk level The determination criteria can be limited to:
[0053] ≤ ,
[0054] in, For the first Level 1 risk, For the first The threshold for determining the risk level. For the first The threshold for determining the risk level.
[0055] Preferably, the automatic response script module further includes:
[0056] Risk level receiving and verification unit, used to receive the current risk level. Cross-validate with storage risk grading standards to ensure the effectiveness of grading instructions;
[0057] Action sequence matching unit, based on effective level A pre-stored multi-level action sequence library In the middle, match and extract the values that are related to the current risk level. Corresponding action sequence ;
[0058] The sequence of actions The mapping relationship can be limited to:
[0059] ,
[0060] in, Includes power reduction and enhanced ventilation actions. Includes cutting off the circuit power supply and local cooling action. This includes zoned power outages and activation of external fire alarm linkage mechanisms.
[0061] Action instruction execution unit, used to receive the processing action sequence This sequence is converted into a set of hardware control instructions that can directly control field devices. According to the time logic in the sequence and interlock conditions The hardware system is triggered sequentially to perform processing actions;
[0062] Timing logic of action execution It can be limited to:
[0063] start Finish ( Execution ≥ ),
[0064] in, For handling action sequences The first in One action, For handling action sequences The first in One action, For the first The preset execution time for each action;
[0065] The execution information feedback and output unit is used to collect the triggered sequence of executed actions in real time. and execution status And the already executed action sequence As an information package.
[0066] Preferably, the action verification and automatic upgrade module further includes:
[0067] The motion effect monitoring unit is used to receive the executed motion sequence. and risk score Real-time monitoring data during the review window after the action is executed. Inside, calculate the risk score. Relative to the minimum descent rate before the action is executed ;
[0068] The effect determination unit is used to receive the minimum descent rate of the transmission. By matching the preset effective threshold The comparison is used to determine whether the action is effective, and invalid results are excluded. Sent to the automatic upgrade instruction generation unit;
[0069] The conditions for determining whether an action is valid can be limited to:
[0070] efficient ,
[0071] in, The minimum effective descent rate threshold;
[0072] The criteria for determining whether a handling action is invalid can be limited to:
[0073] ≥ ,
[0074] An automatic upgrade instruction generation unit is used to receive invalidation results. If the judgment result Upon establishment, an automatic risk level upgrade instruction will be generated. and the upgrade command The signal is transmitted to the multi-signal integrated judgment module to trigger the execution of a sequence of actions one level higher than the current level.
[0075] Preferably, the external collaborative notification information package module pushes standardized information summaries to the operator's management platform, the park security system, and the external fire emergency platform through a preset interface.
[0076] Preferably, the external collaborative notification information package module further includes:
[0077] The core information extraction unit is used to receive the output current risk level. and the output sequence of executed actions. At the same time, obtain the site number. ;
[0078] It is recommended to use an isolation range calculation unit to receive the current risk level. Based on risk grading standards and a pre-defined level-range mapping Calculate and output the current risk level. Corresponding recommended isolation range ;
[0079] Recommended isolation area The calculation / mapping relationship can be limited to:
[0080] ,
[0081] Among them, the recommended isolation range It can be limited to a single cabinet, a single zone, or the entire station, and the recommended isolation range is... The choice follows the current risk level. The higher the recommended isolation range The principle of greater size;
[0082] A standardized message digest generation unit is used to receive the transmitted station number. Current risk level and recommended isolation range And with the already executed action sequence Combine and automatically generate communication protocol standards Standardized information summary ;
[0083] Standardized Information Summary The generated structure can be limited to:
[0084] ,
[0085] in, To encapsulate core data in a manner that conforms to communication protocol standards text or Format;
[0086] The collaborative information push unit is used to receive and transmit standardized information digests. Through asynchronous communication interface Standardized information summary The message was sent to the operators, fire department, and park management.
[0087] Preferably, the reignition monitoring and recovery determination module further includes:
[0088] The monitoring mode switching unit is used to receive the signal indicating the end of the handling action. Furthermore, the operating status was switched from emergency response mode to continuous safety monitoring mode, and the continuous monitoring timer required for calculating stability indicators was started. Set duration ;
[0089] The stability index calculation unit is used to receive temperature data in real time from the multi-source data access module during continuous safety monitoring. and current Real-time monitoring data to calculate temperature fluctuation range With current fluctuation range And the weighted average of the fluctuation ranges of the two As a stability indicator;
[0090] Stable indicators The formula for calculating the weighted average can be limited to:
[0091] ,
[0092] in, For temperature The difference between the maximum and minimum values within the sampling period For current The difference between the maximum and minimum values within the sampling period and Weights for temperature and current fluctuation ranges;
[0093] The safety recovery determination unit is used to receive and transmit stability indicators. and continuous monitoring timer Set duration Determine stability indicators Duration Does the value remain consistently below the preset stable threshold? If the determination is successful, output a safe resumption of operation determination. ;
[0094] Safely resumed operation The determination criteria can be limited to:
[0095] , ,
[0096] in, for Stability metrics calculated over time. To characterize the stability threshold for a system to recover to a steady state, The preset duration for continuous security monitoring mode.
[0097] This invention provides an emergency response and early warning system for sudden combustion and explosion events. It has the following beneficial effects:
[0098] 1. This invention uses a field benchmarking module, which calculates based on environmental benchmark data and abnormal accelerated change trends, to achieve the technical effect of identifying composite abnormal indicators at a very early stage, realizing early warning and solving the problem of a short safety window for operators to take initial action.
[0099] 2. This invention employs a multi-signal integrated judgment module to perform weighted fusion calculation and credibility assessment on multi-source acquired signals, achieving the technical effect of accurately distinguishing different risk states, realizing accurate risk level classification, and solving the shortcomings of inaccurate risk classification and insufficient reliability of emergency response strategies in existing systems.
[0100] 3. The present invention adopts a reignition monitoring and recovery judgment module, which automatically switches to continuous safety monitoring mode and calculates stability indicators to achieve the technical effect of effectively tracking the risk change trend after disposal, thereby preventing the risk of reignition or secondary explosion and solving the shortcomings of existing systems that cannot continuously monitor and judge safety recovery.
[0101] 4. This invention adopts an external collaborative notification information package module, which automatically generates a standardized summary containing the site number and the suggested isolation range, achieving the technical effect of quickly pushing to the operator, fire protection and park management, realizing rapid collaborative response of multiple departments, and solving the shortcomings of inconsistent cross-entity information interfaces and low collaborative efficiency. Attached Figure Description
[0102] Figure 1 This is a schematic diagram of the overall system structure of an emergency response and early warning system for sudden combustion and explosion events according to the present invention;
[0103] Figure 2 A flowchart illustrating the workflow for generating abnormal indicators for the peer benchmarking module of this invention;
[0104] Figure 3 This is a flowchart of the weighted fusion and risk level classification of the multi-signal integrated judgment module of the present invention;
[0105] Figure 4 This is a flowchart of the continuous safety monitoring and recovery determination process of the reignition monitoring and recovery determination module of the present invention. Detailed Implementation
[0106] To enable those skilled in the art to understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort should fall within the scope of protection of the present invention.
[0107] The present invention will now be described in detail with reference to the accompanying drawings:
[0108] Example:
[0109] Please refer to the accompanying drawings. This embodiment describes an emergency response and early warning system for sudden combustion and explosion events applied to a large-scale energy storage station. The energy storage station includes several battery energy storage cabinets. The system aims to provide early warning, accurate classification, automatic response, and safety recovery determination for the initial signs of thermal runaway in a single energy storage cabinet.
[0110] 1. Data Collection and Anomaly Indicator Generation
[0111] Scene data: The multi-source data access module collects temperature, current, voltage, fan status and smoke sensor data in real time from all energy storage cabinets and non-faulty areas within the station;
[0112] Anomaly Calculation: The benchmark difference calculation unit calculates the real-time temperature difference between the target energy storage cabinet and the environmental benchmark. and current difference ;
[0113] The abnormal change trend calculation unit uses an exponential smoothing algorithm to calculate the real-time temperature difference. Smoothing And calculate the second derivative of the smoothed difference. and first derivative ;
[0114] The abnormal indicator judgment unit will use the second derivative. As an abnormal indicator ;
[0115] When the second derivative and first derivative At the same time, it is greater than the preset second derivative threshold. and first derivative threshold At that time, confirm abnormal indicators Effective, indicating signs of accelerated thermal runaway;
[0116] Abnormal indicators are effective
[0117] 2. Multi-signal fusion and risk level determination
[0118] Data normalization: receiving abnormal indicators absolute temperature change Current fluctuation amplitude and smoke trigger state Four signals; the min-max method is used to normalize the four signals to... Interval, generating a normalized risk parameter set ;
[0119] Risk score calculation: The final risk score is obtained by weighted summation of the normalized parameters. ;
[0120] ,
[0121] Credibility assessment: Assessing risk score Credibility For example, when and When the trends of change are inconsistent, credibility for ;
[0122] Risk rating: Risk score Classified as Level 1, Level 2, or Level 3 risk When the risk score Approaching the threshold but with high credibility for When a delay is triggered, a judgment is made to ensure that there are no false alarms;
[0123] 3. Automatic response and action verification
[0124] Action execution: If the risk level is determined to be level two, the action sequence matching unit matches... The relevant circuit power supply is cut off, and local cooling is applied; the action command execution unit will... Transformed into hardware control instructions First, the circuit power is cut off; then, local cooling is triggered immediately after completion.
[0125] Effect verification: The action effect monitoring unit receives execution information and conducts verification during the post-execution verification window. Internally, continuously monitor risk scores. Changes;
[0126] The effect assessment unit calculates the risk score. minimum rate of descent And with the effective threshold Compare;
[0127] like ≥ The action was deemed invalid. ;
[0128] The automatic upgrade instruction generation unit generates it immediately. The signal is transmitted to the multi-signal integrated judgment module, and the system automatically upgrades the risk level to level three, triggering a high-level script for regional power outage or initiating external fire linkage.
[0129] 5. External Collaboration and Notification
[0130] Information Summary: The core information extraction unit obtains the site number. Current risk level and the sequence of actions already executed ;
[0131] It is recommended that the isolation range calculation unit be based on a three-level risk level, mapping the isolation range of the entire site. The standardized information digest generation unit automatically encapsulates and generates:
[0132] ,
[0133] The collaborative information push unit uses an asynchronous communication interface. Automatically summarize standardized information The message is pushed to the operator's monitoring center, fire dispatch system, and park security management.
[0134] 5. Reignition Monitoring and Safe Restoration
[0135] Mode switching: After the third-level script has finished executing, receive the end signal of the processing action. The system enters continuous security monitoring mode, and the startup duration is [not specified]. The timer;
[0136] Stability index calculation: over a period of time Internally, continuously calculate stability indicators. This indicator is the range of temperature fluctuations. and current fluctuation range The weighted average value represents the degree to which the equipment has returned to a stable state;
[0137] ,
[0138] Recovery determination: If within the duration Internal, stable indicators Always below the stable threshold The system ultimately outputs a safe recovery and operation determination. Allow the relevant equipment to be released from quarantine;
[0139] , ,
[0140] The multi-source data access module collects real-time data on temperature, current, voltage, fan status, and smoke / odor sensor data from target equipment and environmental benchmark equipment. This provides a comprehensive and high-precision data foundation for the early warning system, ensuring the input information required for subsequent on-site benchmarking, anomaly indicator calculation, and multi-signal comprehensive judgment. This ensures the system's ability to perceive early signs of thermal runaway and the integrity of the data from the source.
[0141] The abnormal indicator preset module centrally presets composite abnormal indicators and multi-level risk classification standards that characterize early signs of thermal runaway. It closely integrates industry experience with potential composite hazard signals, providing the system with a unified risk assessment basis and response level classification standard. This is a prerequisite for realizing intelligent and standardized emergency management and rapid decision-making in the system.
[0142] The benchmark module innovatively calculates the trend of abnormal acceleration based on the real-time data difference between the target device and the environmental benchmark device, and uses the second derivative as the core anomaly indicator. This effectively filters the interference of environmental temperature changes and normal fluctuations on monitoring, greatly improving the sensitivity and accuracy of the system in identifying complex precursor signals in the very early stage of thermal runaway, and solving the problem of delayed early warning in traditional monitoring methods.
[0143] The multi-signal integrated judgment module performs weighted fusion calculations on abnormal indicators, temperature changes, current fluctuations, and smoke / odor triggering status signals. It also assesses the reliability of the input signals based on their integrity and consistency. This enables precise differentiation of the risk status of sudden combustion and explosion events and accurate delineation of multiple risk levels. It completely overcomes the shortcomings of single-parameter alarms in terms of reliability and provides a solid basis for emergency response strategies.
[0144] The automatic response script module automatically matches and executes a preset sequence of actions based on the received risk level. It transforms the risk level into hardware control commands that can directly control on-site equipment and triggers actions in strict accordance with time logic and interlocking conditions. This achieves full automation from early warning to intervention, greatly shortening emergency response time and avoiding delays and errors caused by human operation.
[0145] The action review and automatic escalation module immediately enters monitoring mode after the action is executed. By calculating the minimum rate of decline of the risk score and comparing it with the effective threshold, it objectively determines the actual effect of the executed action. Once the action is confirmed to be ineffective, the system can automatically generate an escalation command to trigger the execution of a higher-level action script, forming a rapid closed-loop adaptive action mechanism to effectively prevent the consequences of risk escalation out of control.
[0146] The external collaborative notification information package module automatically receives risk level and action information, calculates the suggested isolation range by combining the site number and preset mapping relationship, automatically generates a standardized information summary that conforms to the communication protocol standard, and quickly pushes it to the operator, fire protection and park management through asynchronous communication interface, completely solving the problem of inconsistent cross-entity information interfaces and low collaborative efficiency, and ensuring the timely activation of multi-department emergency response processes.
[0147] The reignition monitoring and recovery judgment module automatically switches to continuous safety monitoring mode after the emergency response is completed. It calculates stability indicators by analyzing the fluctuation range of core data such as temperature and current. Based on whether the stability indicators are lower than the preset threshold over a certain period of time, it finally outputs a judgment on safe recovery of operation, forming a final judgment on the overall event and effectively preventing secondary risks such as reignition or secondary explosion that may be caused by thermal runaway.
[0148] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. An emergency response and early warning system for sudden combustion and explosion events, characterized in that, include: The multi-source data access module is used to collect target equipment data and environmental reference equipment data from energy storage devices or centralized charging sites in real time, including temperature, current, voltage, fan status, and smoke / odor sensor data, and to preprocess the collected target equipment data and environmental reference equipment data. Anomaly indicator preset module, used to preset composite anomaly indicators and risk classification standards that characterize early signs of thermal runaway; The same-field benchmarking module calculates the abnormal acceleration trend of the target device relative to the environmental benchmark device in real time based on the collected target device data and environmental benchmark device data, and generates abnormal indicators. The benchmarking module further includes: The reference difference calculation unit is used to receive the target device. and environmental benchmark equipment Real-time monitoring data set, calculating the target device and environmental reference device at the same time. real-time difference ; The real-time difference The calculation formula can be limited to: , in, For the selected monitoring parameters, For the target device in The parameter value at time; For environmental benchmark equipment The parameter value at time; An abnormal change trend calculation unit is used to receive the real-time difference. The real-time difference is calculated using a moving weighted average or exponential smoothing algorithm. Perform smoothing and calculate the first derivative of the smoothed difference with respect to time. and second derivative The first and second derivatives are used to characterize the real-time difference. The rate of change and the accelerating trend; The real-time difference Smoothing It can be limited to: , in, for The smoothing value at time, For smoothing coefficients; The discrete approximation formula for the second derivative can be limited to: , in, For time intervals; Anomaly indicator determination unit, used to receive the first derivative. and second derivative And the second derivative As the main abnormal indicator ,in, Characterizing an abnormally accelerated trend of change, when the second derivative and first derivative When the value exceeds the preset threshold, an abnormal indicator is confirmed. Validity; The criteria for determining the validity of abnormal indicators can be limited to: Abnormal indicators are effective , in, The first derivative threshold, The second derivative threshold, For logical AND operation; The multi-signal integrated judgment module is used to receive abnormal indicators, temperature changes, current fluctuations and smoke / odor trigger status signals, perform weighted fusion calculations, output risk scores and credibility, and classify multiple risk levels according to the risk score range. The automatic response script module is used to receive the output risk level and automatically execute the corresponding sequence of actions for that level. The action review and automatic escalation module is used to monitor the trend of risk score changes after execution, determine whether the action is effective, and if it is determined to be ineffective, issue an automatic escalation command to execute a higher-level script. The external collaborative notification information package module is used to receive risk level and action information, automatically generate a standardized information summary containing site number, risk level and recommended isolation range, and push it to the operator, fire department and park management. The reignition monitoring and recovery determination module is used to automatically switch to continuous safety monitoring mode after the handling action is completed, calculate stability indicators, and output a safe recovery operation determination based on the result that the stability indicators are lower than the preset threshold for a certain period of time.
2. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, The multi-signal integrated judgment module classifies the risk level into three levels: Level 1, Level 2, and Level 3. The response sequence for a Level 1 risk level is to reduce power or increase ventilation. The sequence of actions corresponding to a level 2 risk is to cut off the power supply to the relevant circuit or to activate local cooling. The response sequence for a Level 3 risk level is to either cut off power to the affected area or activate external fire-fighting linkage.
3. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, In the sequence of actions executed by the automatic response script module, the first and second level scripts are local control actions, which are designed to limit the scope of the action to a single cabinet or a single area to avoid a complete shutdown of the entire station.
4. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, The multi-signal integrated determination module further includes: A multi-parameter input normalization unit is used to receive the output anomaly indicators. absolute temperature change Current fluctuation amplitude and smoke / odor trigger state The four signals are mapped to a unified risk score range using a min-max method. Internally, a normalized set of risk parameters is generated. ; Risk parameters The minimum-maximum normalization formula can be constrained as follows: , in, The normalized risk parameter, These are the original parameter values. The minimum limit value, This is the maximum limit value; The risk score calculation unit receives a normalized set of risk parameters. The risk parameters in the risk parameter set are weighted and summed to output the final risk score. The risk score The formula for weighted summation can be limited to: , in, Normalized outlier indicators The weight, Normalized temperature change The weight, For normalized current fluctuation The weight, Normalized smoke / odor trigger The weights; The credibility assessment unit is used to evaluate the risk score based on the integrity and consistency of the input signal. Credibility Among them, the reliability is high when the input signal is missing or the contradiction between the signals is high. reduce; The credibility The simplified evaluation criteria can be limited to: , Risk level determination unit, used to receive the risk score and credibility Risk scores are assigned according to risk grading standards. It is classified into multiple risk levels, where: when the risk score is... When the threshold for the next level is reached, if the credibility... for This will trigger a delay assessment or lower the threshold, and the final risk level will be output to the automatic response script module. Risk level The determination criteria can be limited to: ≤ , in, For the first Level 1 risk, For the first The threshold for determining the risk level. For the first The threshold for determining the risk level.
5. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, The automatic response script module further includes: Risk level receiving and verification unit, used to receive the current risk level. Cross-validate with storage risk grading standards to ensure the effectiveness of grading instructions; Action sequence matching unit, based on effective level A pre-stored multi-level action sequence library In the middle, match and extract the values that are related to the current risk level. Corresponding action sequence ; The sequence of actions The mapping relationship can be limited to: , in, Includes power reduction and enhanced ventilation actions. Includes cutting off the circuit power supply and local cooling action. This includes zoned power outages and activation of external fire alarm linkage mechanisms. Action instruction execution unit, used to receive the processing action sequence This sequence is converted into a set of hardware control instructions that can directly control field devices. According to the time logic in the sequence and interlock conditions The hardware system is triggered sequentially to perform processing actions; Timing logic of action execution It can be limited to: start Finish ( Execution ≥ ), in, For handling action sequences The first in One action, For handling action sequences The first in One action, For the first The preset execution time for each action; The execution information feedback and output unit is used to collect the triggered sequence of executed actions in real time. and execution status And the already executed action sequence As an information package.
6. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, The action verification and automatic upgrade module further includes: The motion effect monitoring unit is used to receive the executed motion sequence. and risk score Real-time monitoring data during the review window after the action is executed. Inside, calculate the risk score. Relative to the minimum descent rate before the action is executed ; The effect determination unit is used to receive the minimum descent rate of the transmission. By matching the preset effective threshold The comparison is used to determine whether the action is effective, and invalid results are excluded. Sent to the automatic upgrade instruction generation unit; The conditions for determining whether an action is valid can be limited to: efficient , in, The minimum effective descent rate threshold; The criteria for determining whether a handling action is invalid can be limited to: ≥ , An automatic upgrade instruction generation unit is used to receive invalidation results. If the judgment result Upon establishment, an automatic risk level upgrade instruction will be generated. and the upgrade command The signal is transmitted to the multi-signal integrated judgment module to trigger the execution of a sequence of actions one level higher than the current level.
7. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, The external collaborative notification information package module pushes standardized information summaries to the operator's management platform, the park's security system, and the external fire emergency platform through preset interfaces.
8. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, The external collaborative notification information package module further includes: The core information extraction unit is used to receive the output current risk level. and the output sequence of executed actions. At the same time, obtain the site number. ; It is recommended to use an isolation range calculation unit to receive the current risk level. Based on risk grading standards and a pre-defined level-range mapping Calculate and output the current risk level. Corresponding recommended isolation range ; Recommended isolation area The calculation / mapping relationship can be limited to: , Among them, the recommended isolation range It can be limited to a single cabinet, a single zone, or the entire station, and the recommended isolation range is... The choice follows the current risk level. The higher the recommended isolation range The principle of greater size; A standardized message digest generation unit is used to receive the transmitted station number. Current risk level and recommended isolation range And with the already executed action sequence Combine and automatically generate communication protocol standards Standardized information summary ; Standardized Information Summary The generated structure can be limited to: , in, To encapsulate core data in a manner that conforms to communication protocol standards text or Format; The collaborative information push unit is used to receive and transmit standardized information digests. Through asynchronous communication interface Standardized information summary The message was sent to the operators, fire department, and park management.
9. The emergency response and early warning system for sudden combustion and explosion events according to claim 1, characterized in that, The reignition monitoring and recovery determination module further includes: The monitoring mode switching unit is used to receive the signal indicating the end of the handling action. Furthermore, the operating status was switched from emergency response mode to continuous safety monitoring mode, and the continuous monitoring timer required for calculating stability indicators was started. Set duration ; The stability index calculation unit is used to receive temperature data in real time from the multi-source data access module during continuous safety monitoring. and current Real-time monitoring data to calculate temperature fluctuation range With current fluctuation range And the weighted average of the fluctuation ranges of the two As a stability indicator; Stable indicators The formula for calculating the weighted average can be limited to: , in, For temperature The difference between the maximum and minimum values within the sampling period For current The difference between the maximum and minimum values within the sampling period and Weights for temperature and current fluctuation ranges; The safety recovery determination unit is used to receive and transmit stability indicators. and continuous monitoring timer Set duration Determine stability indicators In duration Does the value remain consistently below the preset stable threshold? If the determination is successful, output a safe resumption of operation determination. ; Safely resumed operation The determination criteria can be limited to: , , in, for Stability metrics calculated over time. To characterize the stability threshold for a system to recover to a steady state, The preset duration for continuous security monitoring mode.
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