A negative ion concentration measurement and control system for tunnel fire conditions

Abstract

The invention discloses a negative ion concentration measurement and control system for tunnel fire conditions, which relates to the technical field of environmental monitoring and control, and comprises a negative ion sensor module for real-time monitoring of the negative ion concentration at each point in the tunnel, a particle concentration monitoring module for monitoring the particle concentration in the tunnel, a data processing module for correcting the negative ion concentration data and eliminating signal interference based on the negative ion concentration data and the particle concentration data, a negative ion generator module for starting or adjusting the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range, and a central control module for monitoring the working state of each module, recording the working data, and sending an alarm signal when an abnormal situation occurs; the negative ion concentration measurement and control system for tunnel fire conditions solves the problem of interference in measurement signals caused by the combination of negative ions and particles in the prior art when smoke is diffused in the tunnel fire.

Description

Technical Field

[0001] The invention relates to the technical field of environmental monitoring and control, and in particular to a negative ion concentration measurement and control system for tunnel fire conditions. Background Art

[0002] Tunnel fire is one of the common disasters in cities and transportation infrastructure, with characteristics including high temperature, high smoke concentration and complex air flow. In this environment, negative ion control system can improve air quality and reduce particulate matter concentration by generating negative ions. However, the existing negative ion control system still has significant technical limitations in the performance of tunnel fire.

[0003] Traditional methods for measuring negative ion concentrations mainly rely on sensors to directly sample the negative ion concentration in the air. However, in the case of smoke-filled tunnel fires, a large amount of particulate matter is suspended in the air, which combines with negative ions to form a charge neutralization effect, causing a sharp change in the negative ion concentration. This phenomenon not only affects the actual measurement results of the negative ion concentration, but also causes fluctuations and interference in the measurement signal, making it difficult for the negative ion control system to accurately adjust the working state. In addition, existing negative ion measurement equipment is generally not optimized for high smoke concentration scenarios. Under fire conditions, the measurement equipment is susceptible to particle blockage and high temperature, further reducing its stability and reliability. This technical defect makes it difficult for traditional systems to meet the needs of accurate measurement and dynamic control of negative ion concentration under tunnel fire conditions. Summary of the invention

[0004] The purpose of the present invention is to provide a negative ion concentration measurement and control system for tunnel fire conditions, so as to solve the problem of measurement signal interference caused by the combination of negative ions and particulate matter in the smoke-filled tunnel fire condition in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a negative ion concentration measurement and control system for tunnel fire conditions, comprising:

[0006] Negative ion sensor module, used to monitor the negative ion concentration at each point in the tunnel in real time;

[0007] Particle concentration monitoring module, used to monitor the particle concentration in the tunnel;

[0008] The data processing module connected to the negative ion sensor module and the particle concentration monitoring module is used to correct the negative ion concentration data based on the negative ion concentration data and the particle concentration data, and eliminate signal interference, including determining the initial concentration and the particle concentration influencing factor, and calculating the interference rate according to the dynamic change of the particle concentration. The specific formula is: r=k×C p ;

[0009] Among them, r represents the interference rate, that is, the instantaneous interference intensity of particle concentration on negative ion signal, k represents the average influence coefficient of particle concentration on negative ions, C p Indicates the current particle concentration;

[0010] Calculate the corrected negative ion concentration, the specific formula is:

[0011] ;

[0012] Among them, D corr represents the actual negative ion concentration after correction, S0 represents the original concentration data directly measured by the negative ion sensor module, X represents the particle concentration influencing factor, t represents time, r represents the interference rate, N (d1) and N (d2) represent the cumulative distribution function of the normal distribution, and e represents the base of the natural logarithm;

[0013] A negative ion generator module connected to the data processing module is used to start or adjust the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range;

[0014] The central control module connected to the negative ion sensor module, the particle concentration monitoring module, the data processing module and the negative ion generator module is used to monitor the working status of each module, record the working data, and send out an alarm signal when an abnormal situation occurs.

[0015] Preferably, the negative ion sensor module monitors the negative ion concentration at each point in the tunnel in real time, including spectral signal simulation of the negative ion concentration data in the tunnel, recording the sensor output signal in the sensor calibration stage, calculating the fitting coefficient by linear fitting method, correcting the sensor response signal, and calculating the actual negative ion concentration during real-time monitoring. The specific formula is: I=a×D+b;

[0016] Where I represents the output signal intensity of the negative ion sensor, a represents the sensitivity coefficient of the sensor, D represents the true value of the negative ion concentration in the tunnel, and b represents the output signal bias value of the sensor when there are no negative ions.

[0017] Preferably, the particle concentration monitoring module monitors the particle concentration in the tunnel including:

[0018] Calculate the matching score between the real-time data and historical data of particle concentration, identify the abnormal trend of particle concentration, determine the deviation point of particle concentration change, and eliminate measurement noise. The specific formula is:

[0019] ;

[0020] Among them, H(i, j) represents the matching score at the current position (i, j), S(i, j) represents the score increment at the current position (i, j), k represents the penalty value for data insertion or deletion operations, i represents the real-time monitored particulate matter concentration data index, and j represents the historical particulate matter concentration data index.

[0021] Preferably, the negative ion generator module starts or adjusts the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range, including:

[0022] According to the current correction concentration, set the initial output of the generator and calculate the change of negative ion output concentration over time. The specific formula is: ;

[0023] Wherein, L(t) represents the change value of the negative ion concentration L output by the negative ion generator with time t, L0 represents the initial negative ion concentration output by the negative ion generator, e represents the base of the natural logarithm, m represents the efficiency factor of the negative ion generator in operation, and t represents time.

[0024] Preferably, the central control module monitors the working status of each module, records working data, and issues an alarm signal when an abnormal situation occurs, including:

[0025] Perform edge detection on the operating status data matrix of the negative ion sensor module, particle concentration monitoring module, data processing module and negative ion generator module, extract the change trend of abnormal points, determine the drastic change area of ​​the working status of each module, and judge whether an abnormality occurs. The specific formula is:

[0026] ;

[0027] Among them, G represents the change range of the operating status data of each module, G x Indicates the change of running data between consecutive time points, G y It represents the data difference between different modules, x represents the horizontal coordinate of the operation status of each module changing with time, and y represents the vertical coordinate of the status data of different modules in the matrix.

[0028] Preferably, the negative ion sensor module includes a plurality of negative ion sensors distributed in the tunnel, which are used to monitor the negative ion concentration of each area in the tunnel in real time and generate a corresponding concentration distribution map.

[0029] Preferably, the particle concentration monitoring module includes a particle sensor and a data storage unit, and the particle sensor is used to monitor the particle concentration and store the monitoring data in the data storage unit.

[0030] Preferably, the central control module is connected to a remote monitoring terminal to achieve remote real-time monitoring and operation of the operating status.

[0031] Preferably, the central control module monitors the working status of each module, records the working data, and issues an alarm signal when an abnormal situation occurs. x The calculation formula is: ;

[0032] Among them, G x Indicates the change of running data between consecutive time points, S u,v represents the operating status data of the vth module at the uth time, S u+1,v It represents the status data of the same module at the next moment, u represents the time index of the running status data, and v represents the number index of the module.

[0033] Preferably, the central control module monitors the working status of each module, records the working data, and issues an alarm signal when an abnormal situation occurs. y The calculation formula is: ;

[0034] Among them, G y Indicates the data difference between different modules, S u,v+1 Indicates the status data of adjacent modules at the same time, S u,v It represents the running status data of the vth module at the uth time, where u represents the time index of the running status data and v represents the number index of the module.

[0035] It can be seen from the above technical solution that the present invention has the following beneficial effects:

[0036] The negative ion concentration measurement and control system for tunnel fire conditions monitors the negative ion concentration of each point in the tunnel in real time through a negative ion sensor module, monitors the particle concentration in the tunnel through a particle concentration monitoring module, corrects the negative ion concentration data based on the negative ion concentration data and the particle concentration data, eliminates signal interference, and the negative ion generator module starts or adjusts the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range. The central control module monitors the working state of each module, records the working data, and sends an alarm signal when an abnormal situation occurs. The fluctuation of the measurement signal can be significantly reduced, the accuracy and stability of the negative ion concentration measurement can be improved, and the situation that the traditional equipment fails due to the blockage of particles and the influence of high temperature can be avoided, and the stability and reliability of the system can be improved. Under the complex airflow conditions of the tunnel fire, the concentration change can be quickly responded to, and the accurate dynamic control of the negative ion concentration can be realized, and the influence of smoke on the monitoring system can be reduced, so as to provide guarantee for the safe operation in the tunnel, enhance the fault self-diagnosis capability of the system, improve the reliability and safety of the system in emergency situations, meet the precise measurement and control requirements in various environments, and solve the problem of measurement signal interference caused by the combination of negative ions and particles in the existing technology under the condition of smoke-filled tunnel fire. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a connection diagram of the system modules of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] like Figure 1 As shown, the present invention provides a technical solution: a negative ion concentration measurement and control system for tunnel fire conditions, comprising:

[0040] Negative ion sensor module, used to monitor the negative ion concentration at each point in the tunnel in real time;

[0041] Particle concentration monitoring module, used to monitor the particle concentration in the tunnel;

[0042] The data processing module connected to the negative ion sensor module and the particle concentration monitoring module is used to correct the negative ion concentration data based on the negative ion concentration data and the particle concentration data, and eliminate signal interference, including determining the initial concentration and the particle concentration influencing factor, and calculating the interference rate according to the dynamic change of the particle concentration. The specific formula is: r=k×Cp ;

[0043] Among them, r represents the interference rate, that is, the instantaneous interference intensity of particle concentration on negative ion signal, k represents the average influence coefficient of particle concentration on negative ions, C p Indicates the current particle concentration;

[0044] Calculate the corrected negative ion concentration, the specific formula is:

[0045] ;

[0046] Among them, D corr represents the actual negative ion concentration after correction, S0 represents the original concentration data directly measured by the negative ion sensor module, X represents the particle concentration influencing factor, t represents time, r represents the interference rate, N (d1) and N (d2) represent the cumulative distribution functions of the normal distribution, and e represents the base of the natural logarithm; N (d1) and N (d2) represent the cumulative probability of the negative ion concentration data within the range of d1 and d2, respectively, which are used to correct noise interference or concentration data distribution, d1 represents the standardized variable of the particle concentration enhancing effect on the negative ion signal, and d2 represents the standardized variable of the interference signal weakening effect on the negative ion signal. The dynamic influence of the particle and the interference signal is quantified through the cumulative distribution functions N (d1) and N (d2) of d1 and d2, which are used to correct the measured value of the negative ion concentration.

[0047] A negative ion generator module connected to the data processing module is used to start or adjust the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range;

[0048] The central control module connected to the negative ion sensor module, the particle concentration monitoring module, the data processing module and the negative ion generator module is used to monitor the working status of each module, record the working data, and send out an alarm signal when an abnormal situation occurs.

[0049] The core principle of the above system is to collect the negative ion concentration and particle concentration data in the tunnel in real time through the coordinated work of the negative ion sensor module and the particle concentration monitoring module. The data processing module calculates the interference rate r based on the interference effect of particle concentration on the negative ion signal, and uses the correction formula:

[0050] Correct the negative ion concentration data to eliminate signal interference and obtain a more accurate negative ion concentration value. The corrected data is fed back to the negative ion generator module through the central control module, and the output of the negative ion generator is adjusted in real time to maintain the negative ion concentration in the tunnel within a predetermined range. In addition, the central control module is also responsible for monitoring the operating status of each module of the system, recording data and issuing an alarm signal when an abnormality occurs. By real-time monitoring of particulate matter concentration and correcting negative ion concentration data, the accuracy of the measurement is significantly improved, and the influence of environmental interference on the measurement of negative ion concentration is eliminated. The system can dynamically adjust the output of the negative ion generator according to the actual measurement results to ensure the stability of the air quality in the tunnel. The central control module realizes real-time monitoring and abnormal alarm functions of the system, further improving the reliability and safety of the system. It can accurately monitor and control the negative ion concentration under complex working conditions such as fire, providing important guarantees for the safe operation of the tunnel.

[0051] The negative ion sensor module monitors the negative ion concentration at each point in the tunnel in real time, including spectral signal simulation of the negative ion concentration data in the tunnel. During the sensor calibration stage, the sensor output signal is recorded, the fitting coefficient is calculated using the linear fitting method, and the sensor response signal is corrected. During real-time monitoring, the actual negative ion concentration is calculated. The specific formula is: I=a×D+b;

[0052] Where I represents the output signal intensity of the negative ion sensor, a represents the sensitivity coefficient of the sensor, D represents the true value of the negative ion concentration in the tunnel, and b represents the output signal bias value of the sensor when there are no negative ions.

[0053] The core principle of the above implementation is that by simulating the spectral signal of the negative ion concentration data in the tunnel, the sensor's ability to detect weak signals can be effectively enhanced. In the sensor calibration stage, the output signal under different negative ion concentrations is recorded, and the mathematical relationship between the sensor response signal and the actual negative ion concentration is established using the linear fitting method to determine the sensitivity coefficient a and the bias value b. These parameters are used for signal correction and concentration calculation in the real-time monitoring stage. In the actual operation process, the negative ion sensor collects the signal intensity I in real time, and combines the calibration parameters a and b to calculate the actual negative ion concentration D in the tunnel through the formula I=a×D+b. This method can dynamically correct the nonlinear response and environmental interference of the sensor to achieve high-precision negative ion concentration monitoring. Through the fitting coefficient calculation and real-time signal correction in the calibration stage, the accuracy of negative ion concentration measurement is significantly improved, and the influence of sensor sensitivity fluctuation and environmental interference is reduced. By using spectral signal simulation technology, the sensor module can work stably under complex fire conditions and adapt to changes in negative ion concentration under different environments. The linear fitting method in the calibration stage makes the sensor response more stable, avoiding the measurement error that may be caused by signal deviation in traditional methods. Through the rapid calculation formula I=a×D+b, the negative ion concentration in the tunnel can be obtained in real time to meet the rapid response requirements under fire conditions.

[0054] The particle concentration monitoring module monitors the particle concentration in the tunnel, including calculating the matching score between the real-time particle concentration data and the historical data, identifying the abnormal trend of the particle concentration, determining the deviation point of the particle concentration change, and eliminating the measurement noise. The specific formula is:

[0055] ; Wherein, H(i, j) represents the matching score at the current position (i, j), S(i, j) represents the score increment at the current position (i, j), k represents the penalty value for data insertion or deletion operations, i represents the real-time monitored particle concentration data index, and j represents the historical particle concentration data index.

[0056] The core principle of the particle concentration monitoring module is to use the dynamic programming algorithm to match and analyze the real-time data of particle concentration with historical data to identify abnormal trends. The matching score of the real-time particle concentration and the historical reference concentration is obtained by the formula S (i, j), and the result is input into the score matrix H (i, j). In the dynamic matching process, by penalizing the insertion or deletion operation (controlled by k), the system can effectively filter out the noise or abnormal changes in the measurement process and determine the deviation point of the concentration change. The noise points are removed and the corrected real-time particle concentration data is finally output to ensure the accuracy and reliability of the data. Through the matching score calculation and dynamic programming algorithm, the abnormal trend of particle concentration change can be effectively identified, and the noise can be removed to improve the data accuracy. According to the matching of real-time monitoring data and historical reference data, the matching score calculation and noise removal strategy can be dynamically adjusted to adapt to changes under complex fire conditions. By adding matching scores and penalty mechanisms, noise data introduced by measurement equipment errors or sudden environmental changes are eliminated, making the final concentration monitoring results more reliable. Dynamic programming algorithms are used to quickly match and analyze real-time data to ensure that the system can provide timely feedback on changes in particle concentration in emergency situations such as fire.

[0057] The negative ion generator module starts or adjusts the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range, including:

[0058] According to the current correction concentration, set the initial output of the generator and calculate the change of negative ion output concentration over time. The specific formula is: ;

[0059] Wherein, L(t) represents the change value of the negative ion concentration L output by the negative ion generator with time t, L0 represents the initial negative ion concentration output by the negative ion generator, e represents the base of the natural logarithm, m represents the efficiency factor of the negative ion generator in operation, and t represents time.

[0060] According to the corrected negative ion concentration data, the actual demand in the current tunnel is calculated and the initial output concentration L0 of the negative ion generator is set. During the operation of the generator, the change of negative ion concentration with time t is given by the formula Determine. This formula simulates the attenuation process of negative ion output with efficiency factor m and time. The central control module monitors the changes in negative ion concentration and adjusts the parameters of L0 and m in real time to ensure that the output concentration matches the environmental requirements and avoids excessive or low concentrations. The central control module compares the real-time monitored negative ion concentration with the target value. If it deviates from the predetermined range, the output concentration of the generator is adjusted to form a closed-loop control. By adjusting the negative ion output concentration in real time, it can accurately adapt to the air quality requirements of different areas and different times in the tunnel and maintain concentration stability. By adjusting the efficiency factor m, the system can optimize the operating efficiency of the negative ion generator, reduce energy consumption, and extend the life of the equipment. Using real-time monitoring and formula calculations, the system can quickly adjust the output concentration to ensure air quality when the environment changes (such as smoke caused by fire). While achieving air optimization, this module avoids the adverse health effects that may be caused by excessive negative ion concentrations, further improving the safety and environmental adaptability of the system.

[0061] The central control module monitors the working status of each module, records the working data, and issues an alarm signal when an abnormal situation occurs. It includes edge detection of the operating status data matrix of the negative ion sensor module, the particle concentration monitoring module, the data processing module, and the negative ion generator module, extracts the change trend of the abnormal points, determines the drastic change area of ​​the working status of each module, and judges whether an abnormality occurs. The specific formula is: ;

[0062] Among them, G represents the change range of the operating status data of each module, G x Indicates the change of running data between consecutive time points, G y It represents the data difference between different modules, x represents the horizontal coordinate of the operation status of each module changing with time, and y represents the vertical coordinate of the status data of different modules in the matrix.

[0063] The central control module collects real-time operating status data from the negative ion sensor module, particle concentration monitoring module, data processing module and negative ion generator module, and constructs a two-dimensional matrix according to the time sequence and module category. The horizontal coordinate x in the matrix represents the data that changes over time, and the vertical coordinate y represents the category of each module. The central control module calculates the formula Extract the changing edges in the matrix, G x Used to detect the amplitude of continuous changes in time series data and identify rapid changes in operating status. yUsed to detect the difference in operating data between different modules and find possible sources of abnormalities. If the calculated change amplitude G exceeds the set threshold, it is judged as abnormal. The threshold is set based on the empirical value obtained from long-term observation of normal operating data. The system further determines the cause of the abnormality (such as a sudden increase or decrease in data in a certain module) according to the module category and change trend. Once an abnormality is detected, the central control module immediately triggers an alarm signal to alert the operation and maintenance personnel, and stores the abnormal data and trends in the database for subsequent analysis and optimization. Through real-time monitoring and edge detection algorithms, abnormal operating conditions can be identified quickly and accurately, reducing fault response time. By combining the changing trends of time series and differences between modules, the system can accurately locate abnormal modules and fault causes, improving maintenance efficiency. The central control module can analyze the data change trends of multiple modules in real time, and ensure the stability and reliability of the system even under complex fire conditions. The combination of alarm signals and trend data can provide tunnel operators with predictive maintenance information and reduce equipment operation risks.

[0064] The negative ion sensor module includes multiple negative ion sensors distributed in the tunnel, which are used to monitor the negative ion concentration in each area of ​​the tunnel in real time and generate a corresponding concentration distribution map. The negative ion sensor module deploys multiple sensors in different areas of the tunnel, which monitor the negative ion concentration data of their respective locations in real time. Each sensor collects data regularly through an independent sampling unit and sends the data to the central control module through wired or wireless communication. The central control module receives the data of each sensor and integrates the negative ion concentration data of different locations according to the spatial coordinate information of each sensor. Based on the integrated data, the system uses an interpolation algorithm (such as inverse distance weighted interpolation and Kriging interpolation) to perform spatial interpolation on the negative ion concentration and generate a concentration distribution map. The distribution map intuitively reflects the spatial changes of the negative ion concentration in the tunnel in the form of color or contour lines. The system recalculates and updates the concentration distribution map at a predetermined time interval (for example, every minute) to reflect the dynamic changes of the negative ion concentration in the tunnel, providing support for real-time monitoring and adjustment of the tunnel environment. Through multi-point monitoring, the system can obtain the negative ion concentration distribution information of each area in the tunnel, which is more comprehensive and accurate than single-point monitoring. The concentration distribution map is generated and updated in real time, so that tunnel managers can quickly and intuitively understand the distribution of negative ion concentrations, and adjust the working status of the negative ion generator in a timely manner. Through the visual analysis of the concentration distribution map, areas with too low or too high negative ion concentrations can be identified, the tunnel air quality can be optimized, and the comfort and safety of the driving environment can be improved. If the negative ion concentration data in a certain area is abnormal, the distribution map can be used to quickly locate the problem area, facilitating timely maintenance and repair.

[0065] The particle concentration monitoring module includes a particle sensor and a data storage unit. The particle sensor is used to monitor the particle concentration and store the monitoring data in the data storage unit. The particle sensor is installed at a key position in the tunnel to monitor the particle concentration in the air (such as PM2.5 or PM10). The sensor obtains the concentration data of the particles in the air through laser scattering, optical measurement or other detection methods, and converts these data into digital signals. The particle sensor sends the monitored particle concentration data to the data storage unit through a wired or wireless connection. The data storage unit can store the particle concentration data in time series, and record the operating status of the sensor and related environmental parameters (such as sampling time, temperature and humidity). The particle concentration data in the data storage unit can be called by the data processing module to calculate the interference rate of the particle concentration on the negative ion concentration and perform concentration correction. The stored data can also be used to generate historical trend charts, identify pollution sources or evaluate air quality, and provide data support for the long-term environmental optimization of the tunnel. Through the data storage unit, the particle concentration data can be systematically saved, providing reliable data support for subsequent processing and facilitating the tracing of historical change trends. The particle sensor collects data in real time to meet the system's rapid response requirements for current air quality. At the same time, the data recorded by the data storage unit provides a basis for subsequent analysis and optimization. The monitoring data can be used for real-time calculations as needed, or stored offline to adapt to different working modes, ensuring that the system can still operate normally under extreme conditions such as fire. Historical data can be used to identify the changing patterns of particle concentrations, help analyze pollution sources, and provide decision support for tunnel air quality management and optimization. The stored sensor operating status data can be used for sensor fault diagnosis and maintenance, which helps improve the reliability and operational stability of the system.

[0066] The central control module is connected to a remote monitoring terminal to realize remote real-time monitoring and operation of the operating status. The central control module obtains real-time operating status data from the negative ion sensor module, particle concentration monitoring module, data processing module and negative ion generator module in the system, such as sensor measurement data, particle concentration correction results, negative ion output concentration, etc. The central control module performs preliminary processing on the data (such as format conversion and compression) and sends it to the remote monitoring terminal. The remote monitoring terminal displays the key parameters of the system operating status through a dedicated software interface or web platform, including real-time negative ion concentration distribution, particle concentration trend, system alarm status, etc. Users can view the historical records, trend analysis charts and current operating status of each module through the monitoring terminal, so as to quickly determine whether the system is operating normally. The remote monitoring terminal allows users to send operating instructions to the central control module, such as adjusting the output concentration of the negative ion generator, recalibrating the sensor, starting and stopping specific modules, etc. After receiving the instructions, the central control module executes the operation and feeds back the execution results to the remote monitoring terminal to ensure the accuracy and transparency of the operation. If an abnormality occurs during the operation of the system, the central control module immediately sends an alarm message to the remote monitoring terminal, including the abnormal module, the cause of the fault and the solution suggestion. The remote monitoring terminal supports multiple alarm push methods (such as SMS, email or mobile app notifications) to ensure timely response by operation and maintenance personnel. The connection between the central control module and the remote monitoring terminal realizes real-time visualization of the system operation status, which is convenient for managers to grasp the system status at any time. Through the remote terminal, users can adjust and optimize the system at any time, no longer limited to local operations, which improves the convenience and flexibility of system operation. Abnormal alarm information is pushed to operation and maintenance personnel in real time through the remote terminal, which greatly shortens the fault response time and improves the reliability and safety of the system. The remote monitoring and operation function reduces the need for on-site maintenance and inspections, reduces the system operating costs, and is especially suitable for the management of large or remote tunnels. The system's historical operation data can be accessed through the remote terminal, supporting the analysis and optimization of system performance, and further improving the system's operating efficiency.

[0067] The central control module monitors the working status of each module, records the working data, and issues an alarm signal when an abnormal situation occurs. x The calculation formula is: ;

[0068] Among them, G x Indicates the change of running data between consecutive time points, S u,v represents the operating status data of the vth module at the uth time, S u+1,v It represents the status data of the same module at the next moment, u represents the time index of the running status data, and v represents the number index of the module.

[0069] Each module sends real-time operation data to the central control module. The central control module sorts and stores the operation data of each module in time to form a time series data matrix. The change in module operation data at consecutive time points is calculated by the formula This formula can capture the magnitude of changes in module operation data over time. x When the threshold is exceeded, the central control module will identify it as a possible abnormal fluctuation. The threshold is set based on the empirical value obtained from long-term observation of normal operation data. x The calculation result is used to determine whether the change in the module's operating status is abnormal. If an abnormality is detected, an alarm signal is triggered immediately, and the number, time point and change value of the abnormal module are recorded. The alarm signal is sent to the operation and maintenance personnel through the remote monitoring terminal for rapid response and processing. By calculating the change amount at consecutive time points, the system can accurately capture the drastic fluctuations in the module's operating data and effectively identify abnormal operating status. The combination of real-time calculation and alarm function enables the system to quickly locate the problem module when a fault occurs, shortens the response time, and improves system reliability. The operating data and change amount recorded by the system provide rich historical data support for subsequent analysis, which is convenient for trend analysis, fault tracing and system optimization. The change amount calculation formula is simple and efficient, which can adapt to the operating data of different modules and support real-time monitoring and alarm requirements under various complex working conditions.

[0070] The central control module monitors the working status of each module, records the working data, and issues an alarm signal when an abnormal situation occurs. y The calculation formula is:

[0071] ;

[0072] Among them, G y Indicates the data difference between different modules, S u,v+1 Indicates the status data of adjacent modules at the same time, S u,v It represents the running status data of the vth module at the uth time, where u represents the time index of the running status data and v represents the number index of the module.

[0073] Each module sends its operating status data S in real time u,v To the central control module. The central control module builds a state data matrix based on the time point u and the module number v, and arranges the operation data of different modules synchronously according to time. The central control module uses the formula Calculate the difference in running data of adjacent modules at the same time point. yIf the data exceeds the set threshold, it is judged as abnormal data difference between modules, which may indicate abnormal working status of a module or data transmission error. The threshold is set based on the empirical value obtained from long-term observation of normal operation data. After detecting an abnormality, the central control module immediately generates an alarm signal and records the time point, module number and difference value of the abnormal data. y . Alarm information can be pushed to relevant operation and maintenance personnel through the remote monitoring terminal, and the abnormal data will be stored in the system log for subsequent analysis. Through historical data analysis, the causes of common module-to-module difference anomalies can be located, and optimization suggestions can be provided, such as calibrating sensors or checking module connection status. Through the calculation of inter-module data differences, the system can effectively evaluate the collaborative working status between modules and quickly discover abnormal conditions between modules. Compared with traditional methods, direct calculation of inter-module differences can improve the accuracy of anomaly detection and reduce false alarm and missed alarm rates. The recorded difference data provides a clear reference for fault diagnosis, which helps to quickly locate and repair problem modules. The central control module monitors and analyzes inter-module data in real time to ensure that the system can maintain stable operation under complex working conditions (such as fire or other extreme conditions).

[0074] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A negative ion concentration measurement and control system for tunnel fire conditions, characterized in that: include: Negative ion sensor module, used to monitor the negative ion concentration at each point in the tunnel in real time; Particle concentration monitoring module, used to monitor the particle concentration in the tunnel; The data processing module connected to the negative ion sensor module and the particle concentration monitoring module is used to correct the negative ion concentration data based on the negative ion concentration data and the particle concentration data, and eliminate signal interference, including determining the initial concentration and the particle concentration influencing factor, and calculating the interference rate according to the dynamic change of the particle concentration. The specific formula is: r=k×C p ; Among them, r represents the interference rate, that is, the instantaneous interference intensity of particle concentration on negative ion signal, k represents the average influence coefficient of particle concentration on negative ions, C p Indicates the current particle concentration; Calculate the corrected negative ion concentration, the specific formula is: ； Among them, D corr represents the actual negative ion concentration after correction, S0 represents the original concentration data directly measured by the negative ion sensor module, X represents the particle concentration influencing factor, t represents time, r represents the interference rate, N (d1) and N (d2) represent the cumulative distribution function of the normal distribution, and e represents the base of the natural logarithm; A negative ion generator module connected to the data processing module is used to start or adjust the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range; The central control module connected to the negative ion sensor module, the particle concentration monitoring module, the data processing module and the negative ion generator module is used to monitor the working status of each module, record the working data, and send out an alarm signal when an abnormal situation occurs; The particle concentration monitoring module monitors the particle concentration in the tunnel including: Calculate the matching score between the real-time data and historical data of particle concentration, identify the abnormal trend of particle concentration, determine the deviation point of particle concentration change, and eliminate measurement noise. The specific formula is: ； Among them, H(i, j) represents the matching score at the current position (i, j), S(i, j) represents the score increment at the current position (i, j), k represents the penalty value for data insertion or deletion operations, i represents the real-time monitored particulate matter concentration data index, and j represents the historical particulate matter concentration data index.

2. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 1, characterized in that: The negative ion sensor module monitors the negative ion concentration at each point in the tunnel in real time, including spectral signal simulation of the negative ion concentration data in the tunnel, recording the sensor output signal in the sensor calibration stage, calculating the fitting coefficient by linear fitting method, correcting the sensor response signal, and calculating the actual negative ion concentration during real-time monitoring. The specific formula is: I=a×D+b; Where I represents the output signal intensity of the negative ion sensor, a represents the sensitivity coefficient of the sensor, D represents the true value of the negative ion concentration in the tunnel, and b represents the output signal bias value of the sensor when there are no negative ions.

3. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 1, characterized in that: The negative ion generator module starts or adjusts the working state according to the corrected negative ion concentration data to keep the negative ion concentration in the tunnel within a predetermined range, including: According to the current correction concentration, set the initial output of the generator and calculate the change of negative ion output concentration over time. The specific formula is: ; Wherein, L(t) represents the change value of the negative ion concentration L output by the negative ion generator with time t, L0 represents the initial negative ion concentration output by the negative ion generator, e represents the base of the natural logarithm, m represents the efficiency factor of the negative ion generator in operation, and t represents time.

4. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 1, characterized in that: The central control module monitors the working status of each module, records working data, and issues an alarm signal when an abnormal situation occurs, including: Perform edge detection on the operating status data matrix of the negative ion sensor module, particle concentration monitoring module, data processing module and negative ion generator module, extract the change trend of abnormal points, determine the drastic change area of ​​the working status of each module, and judge whether an abnormality occurs. The specific formula is: ； Among them, G represents the change range of the operating status data of each module, G x Indicates the change of running data between consecutive time points, G y It represents the data difference between different modules, x represents the horizontal coordinate of the operation status of each module changing with time, and y represents the vertical coordinate of the status data of different modules in the matrix.

5. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 1, characterized in that: The negative ion sensor module includes a plurality of negative ion sensors distributed in the tunnel, which are used to monitor the negative ion concentration of each area in the tunnel in real time and generate a corresponding concentration distribution map.

6. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 1, characterized in that: The particle concentration monitoring module includes a particle sensor and a data storage unit. The particle sensor is used to monitor the particle concentration and store the monitoring data in the data storage unit.

7. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 1, characterized in that: The central control module is connected to a remote monitoring terminal to achieve remote real-time monitoring and operation of the operating status.

8. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 4, characterized in that: The central control module monitors the working status of each module, records the working data, and issues an alarm signal when an abnormal situation occurs. x The calculation formula is: ; Among them, G x Indicates the change of running data between consecutive time points, S u,v represents the operating status data of the vth module at the uth time, S u+1,v It represents the status data of the same module at the next moment, u represents the time index of the running status data, and v represents the number index of the module.

9. The negative ion concentration measurement and control system for tunnel fire conditions according to claim 4, characterized in that: The central control module monitors the working status of each module, records the working data, and issues an alarm signal when an abnormal situation occurs. y The calculation formula is: ; Among them, G y Indicates the data difference between different modules, S u,v+1 Indicates the status data of adjacent modules at the same time, S u,v It represents the running status data of the vth module at the uth time, where u represents the time index of the running status data and v represents the number index of the module.

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