CN110706444B - Comprehensive pyrolytic particle electrical fire monitoring method, device and system - Google Patents
Comprehensive pyrolytic particle electrical fire monitoring method, device and system Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
- G08B17/117—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means by using a detection device for specific gases, e.g. combustion products, produced by the fire
Abstract
The invention discloses a comprehensive pyrolytic particle electric fire monitoring method, a device and a system, comprising the following steps: s1, acquiring real-time numerical values of 7 parameters in the low-voltage power distribution cabinet, wherein the real-time numerical values respectively comprise temperature T and temperature change rate VTConcentration of thermally decomposed gas CgasThe rate of change V of the concentration of the thermally decomposed gasgasPM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10(ii) a Obtaining threshold values d corresponding to 7 parameters respectively1、d2、d3、d4、d5、d6、d7(ii) a S2, giving different dynamic weights to each parameter and combining the parameter values exceeding the threshold value with the dynamic weights to integrally fuse the calculation processing results; and S3, sending out an alarm prompt according to the processing result. According to the invention, the 7 parameters are obtained and are comprehensively used as important parameters for early warning and judgment of safety in the low-voltage power distribution cabinet, and the 7 parameters are subjected to integral fusion analysis according to threshold setting and dynamic weight analysis, so that the potential safety hazard of electrical fire in the low-voltage power distribution cabinet is accurately and early detected, and the missing report and the false report are avoided.
Description
Technical Field
The invention relates to the field of electrical fire safety monitoring, in particular to a comprehensive pyrolytic particle electrical fire monitoring method, device and system.
Background
At present, the electric fire safety monitoring device has various types, but has single detection parameter, for example, the temperature measuring type electric fire safety monitoring device only detects the temperature; the residual current type electrical fire safety monitoring system only detects residual current; the smoke sensing type electric fire safety monitoring device only detects smoke concentration. The monitoring devices are selected to realize the safety monitoring of the low-voltage power distribution cabinet, so that the cost is high and the situation of false alarm occurs sometimes. The most commonly used detector in the low-voltage distribution cabinet is a smoke-sensitive detector, but the wiring in the low-voltage distribution cabinet is concentrated, dust is easily accumulated, interference is caused to the detection of the detector, and effective prevention and control are difficult to realize.
It is therefore evident that the above-mentioned conventional electrical fire monitoring devices, systems and methods still have the disadvantages and drawbacks, and further improvements are desired. How to create an electrical appliance fire monitoring device, system and method capable of accurately forecasting the potential safety hazard of electrical fire becomes an urgent need for improvement in the industry at present.
Disclosure of Invention
The invention aims to provide a method, a device and a system for monitoring fire of an electrical appliance, so that the potential safety hazard of the electrical fire in a low-voltage power distribution cabinet can be accurately and early detected, and the missing report and the false report are avoided.
In order to solve the technical problems, the invention adopts the following technical scheme:
in one aspect, the invention provides a comprehensive pyrolytic particle electrical fire monitoring method, which comprises the following steps:
s1, acquiring real-time numerical values of 7 parameters in the low-voltage power distribution cabinet, wherein the real-time numerical values respectively comprise temperature T and temperature change rate VTConcentration of thermally decomposed gas CgasThe rate of change V of the concentration of the thermally decomposed gasgasPM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10；
Obtaining threshold values d corresponding to 7 parameters respectively1、d2、d3、d4、d5、d6、d7；
S2, giving different dynamic weights to each parameter and combining the parameter values exceeding the threshold value with the dynamic weights to integrally fuse the calculation processing results;
and S3, sending out an alarm prompt according to the processing result.
As a further improvement of the present invention, in S1: the threshold value d1、d2、d3、d4、d5、d6、d7Is a threshold value checked or modified according to the actual application.
Further, in S1: the temperature T and the temperature change rate VTReal-time acquisition by a temperature sensor; concentration C of the thermally decomposed gasgasAnd the rate of change V of the concentration of the thermally decomposed gasgasCollected by a pollution gas sensor in real time, and the concentration C of the PM1.0 particles1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10And the laser dust particle sensors are used for collecting the dust particles in real time.
Further, the S2 specifically includes:
s21, constructing a corresponding diagonal matrix S on the basis of the obtained threshold, which participates as an activation matrix:
where u (x) has a linear activation function:
s22: calculating an initial alarm parameter A0＝(a1 a2 a3 a4 a5 a6 a7) The calculation is as follows:
wherein the variables are represented as follows:
x1＝T,x2＝VT,x3＝Cgas,
x4＝Vgas,x5＝C1.0,x6＝C2.5,x7＝C10
s23: for initial alarm parameter A0In combination with the parametric weights, the process is represented as follows:
y＝A0·W0
＝A0·(w1 w2 w3 w4 w5 w6 w7)T
wherein W0Is an initial weight vector, wi(i ═ 1,2, … … 7) represents the respective parametric weights, with the risk level result y being a scalar;
s24: parameter value grade normalization:
multiplying each element in the weight vector by a corresponding multiplying factor diagonal matrix Q, wherein only the diagonal elements Q in Q11，q22，q33，q44，q55，q66，q77Nonzero, obtaining a normalized weight vector W:
s.t.w1+w2+w3+w4+w5+w6+w7≤1，
w2+w4≥0.4
s25: combining the real-time numerical value with the weight, determining the optimal weight according to the weight deviation and combining the limiting conditions, and designing a self-adaptive weight algorithm:
wherein δ is a smoothing quantity and is important for obtaining the optimal weight.
S26: the calculation result y is equal to A0·W。
Further, in S3, an alarm risk level is defined according to the processing result, so as to regulate and control the external alarm volume decibel of the buzzer.
In another aspect, the present invention also provides an integrated pyrolytic particle electrical fire monitoring apparatus comprising one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the comprehensive pyrolytic particle electrical fire monitoring method described above.
In another aspect, the present invention further provides a comprehensive pyrolytic particle electrical fire monitoring system, which employs the comprehensive pyrolytic particle electrical fire monitoring method, and includes a temperature sensor, a laser dust particulate sensor, a pollution gas sensor, a real-time data storage unit, a threshold storage unit, a weight analysis processing unit, a result processing unit, and an alarm unit, wherein:
a temperature sensor for acquiring temperature T and temperature change rate VTAnd storing the data in a real-time data storage unit; laser dust particulate matter sensor for obtaining PM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10And storing the data in a real-time data storage unit; contaminant gas sensor for obtaining gas concentration C of C-H chain structuregasC-H chain structure type gas concentration change rate VgasAnd storing the data in a real-time data storage unit; the threshold storage unit is used for storing the threshold corresponding to each acquired parameter; the weight analysis processing unit is used for acquiring parameter values stored in the real-time data storage unit and threshold values in the threshold value storage unit and endowing different dynamic weights to all the parameters; the result processing unit is used for integrally fusing and calculating the processing result by combining each parameter value exceeding the threshold value with the dynamic weight; and the alarm unit is used for giving an alarm according to the processing result calculated by the result processing unit.
As a further improvement of the present invention, the system further comprises a parameter setting display unit; the parameter setting display unit is connected with the threshold storage unit through a data interface; the default threshold data can be exported through the data interface for checking, or the threshold data is modified after the actual application occasion is evaluated and is imported and stored to the threshold storage unit again.
Further, the alarm unit comprises an alarm grade judging unit and a buzzer; and the alarm grade judging unit is used for setting an alarm danger grade according to the processing result of the result processing unit and regulating and controlling the external alarm volume decibel of the buzzer.
By adopting the technical scheme, the invention at least has the following advantages:
the invention selects the temperature T and the temperature change rate VTConcentration of thermally decomposed gas CgasThe rate of change V of the concentration of the thermally decomposed gasgasPM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentrationC10The 7 parameters are comprehensively used as important parameters for early warning and judgment of safety in the low-voltage power distribution cabinet, and the 7 parameters are subjected to overall fusion analysis according to threshold setting and dynamic weight analysis, so that the safety hazard of electrical fire in the low-voltage power distribution cabinet is accurately and early detected, and the missing report and the false report are avoided.
Drawings
The foregoing is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description.
FIG. 1 is a flow chart of a comprehensive pyrolytic particle electrical fire monitoring method of an embodiment of the present invention;
FIG. 2 is a block diagram of a comprehensive pyrolytic particle electrical fire monitoring system in accordance with an embodiment of the present invention.
Detailed Description
Aiming at the problem that the electrical fire safety hidden danger in the low-voltage power distribution cabinet cannot be accurately judged in the early stage in the prior art, the invention explores the essential reasons causing the electrical fire safety hidden danger in the low-voltage power distribution cabinet through deep research, comprehensively analyzes a plurality of reference values, realizes the accurate and early detection of the electrical fire safety hidden danger in the low-voltage power distribution cabinet, and avoids missing report and misinformation.
When the potential safety hazard of electrical fire exists in the low-voltage power distribution cabinet, the factors such as temperature, smoke, light and the like generally change. The temperature change is an important induction factor for generating changes of other factors, so that the real-time temperature value and the temperature change rate are used as one of important parameters for safety early warning judgment in the low-voltage power distribution cabinet.
The low-voltage power distribution cabinet comprises insulated wires, a circuit breaker, a circuit board substrate and the like, and is mainly made of C-H chain synthetic materials such as ABS materials, polyvinyl chloride, epoxy resin and the like. Once the electric fire disaster that causes such as external temperature is too high, line current is too big, to the inside most direct influence of low-voltage distribution cabinet be that the interior material of cabinet is heated and is decomposed out the particle, consequently can regard as important early warning reference volume through detecting the particle density that exists with free state. According to the particle diameter, the detection size is divided into: gas such as C-H chain structure, ultrafine particulate matter PM1.0, particulate matter PM2.5 with the diameter of less than or equal to 2.5 microns, and inhalable particulate matter PM10 with the particle size of less than 10 microns. The detection method is different according to different types and diameters of particles. The method utilizes the densities of different types of pyrolysis particles, and is one of important evaluation parameters for judging the potential safety hazards of the low-voltage power distribution cabinet.
FIG. 1 is a flow chart of a comprehensive pyrolytic particle electrical fire monitoring method according to an embodiment of the invention, comprising:
s1, acquiring real-time numerical values of 7 parameters in the low-voltage power distribution cabinet, wherein the real-time numerical values respectively comprise temperature T and temperature change rate VTConcentration of thermally decomposed gas CgasThe rate of change V of the concentration of the thermally decomposed gasgasPM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10；
Obtaining threshold values d corresponding to 7 parameters respectively1、d2、d3、d4、d5、d6、d7；
S2, giving different dynamic weights to each parameter and combining the parameter values exceeding the threshold value with the dynamic weights to integrally fuse the calculation processing results;
and S3, sending out an alarm prompt according to the processing result.
The following will be described in detail:
step 1: according to analysis of environmental conditions in a low-voltage power distribution cabinet, in order to accurately forecast potential safety hazards of electrical fires, a plurality of parameter values in the power distribution cabinet are required to be acquired, wherein the parameter values comprise real-time temperature, temperature change rate, PM1.0 particle concentration, PM2.5 particle concentration, PM10 particle concentration, concentration of thermally decomposed gases such as C-H chain structures and concentration change rate of thermally decomposed gases such as C-H chain structures. These parameters are set as follows:
1) the temperature T is obtained. The real-time temperature in the environment is measured through the heat effect of a thermistor of the temperature sensor, the starting time is set, and the environment temperature is sampled at an interval delta t. Let two temperatures of interval Δ T be T1、T2If T is equal to (T)1+T2)/2；
2) Rate of temperature change. Taking the obtained real-time temperature as a reference quantity, and the temperature change rate is VT＝(T2-T1)/Δt。
3) The concentration Cgas of the substances in various low-voltage power distribution cabinets such as C-H chain structure, VOC and the like. The gas generated by heating the substances in the low-voltage distribution cabinet comprises various C-H chain alkane compounds, hydrogen sulfide, volatile compounds and the like. Due to the adsorption and surface reaction of odor molecules, the resistance value of a specific semiconductor of the pollution gas sensor is sensitively changed, and the gas concentration in the low-voltage power distribution cabinet is detected with high sensitivity.
4) The rate of change in the concentration of the heated decomposition gas Cgas at the interval Δ t is Vgas ═ Cgas (Cgas)2-Cgas1)/Δt
5) PM1.0 concentration C of particulate matter1.0PM2.5 concentration C of particulate matter2.5Particulate matter PM10 concentration C10. Utilize laser dust particulate matter sensor to detect, produce the light scattering through laser irradiation on the suspended particles in the air, convert its scattering light intensity linearity that collects in certain angle range into voltage to this is equivalent as the particle size and the particle quantity of different particle sizes in the unit volume based on the scattering theory, obtains PM1.0 concentration C with this1.0PM2.5 concentration C of particulate matter2.5Particulate matter PM10 concentration C10。
Wherein the calibration units of different measurement values are respectively as follows: temperature, gas concentration ppm, gas concentration change rate ppm/s, particle concentration ug/m of different particle diameters3。
Step 2: and checking or modifying the corresponding threshold value of each parameter. The conventional environmental parameters of the low-voltage power distribution cabinet installed in different gas saving places are different, so that the threshold value is adjusted. T, V thereinT、Cgas、Vgas、C1.0、C2.5、C10Threshold d corresponding to the inner 7 parameters1、d2、d3、d4、d5、d6、d7Wherein D ═ D1 d2 d3 d4 d5 d6 d7)。
Step 3: on the basis of successful threshold setting, constructing a corresponding diagonal matrix S which participates as an activation matrix:
where u (x) has a linear activation function:
step 4: calculating an initial alarm parameter A0＝(a1 a2 a3 a4 a5 a6 a7). The calculation is as follows:
wherein the variables are represented as follows:
x1＝T,x2＝VT,x3＝Cgas,
x4＝Vgas,x5＝C1.0,x6＝C2.5,x7＝C10
step 5: based on different danger coefficients expressed by the numerical grade difference of each parameter, the represented alarm degrees are different, so that the initial alarm parameter (row vector) A is subjected to0In combination with the parametric weights, the process is represented as follows:
y＝A0·W0
＝A0·(w1 w2 w3 w4 w5 w6 w7)T
wherein W0Is an initial weight vector, wi(i ═ 1,2, … … 7) represents the respective parametric weights, and the risk level result y is a scalar.
Step 6: and (4) carrying out level normalization on parameter values.
Based on the value range of each parameter value, normalization processing is needed, and a plurality of elements in the measured value X are processed. The elements in X have corresponding relations with the elements in the set weight vector W, and the size ranges of all detection parameters are not uniform, so that all the elements in the weight vector are multiplied by a corresponding multiplying factor diagonal matrix Q (only the diagonal elements Q in Q)11，q22，q33，q44，q55，q66，q77Nonzero, the size of each element refers to the detection range of the corresponding detection parameter), and a normalized weight vector W is obtained:
s.t.w1+w2+w3+w4+w5+w6+w7＝1,
w2+w4≥0.4
step 7: in order to accurately estimate the vector W and enable the final judgment result to reflect the early potential safety hazard of the electrical fire in time, the real-time measurement value is combined with the weight, and the optimal weight is determined according to the deviation of the weight and the combination of the limiting conditions. Therefore, an adaptive weight algorithm is designed:
wherein δ is a smoothing quantity and is important for obtaining the optimal weight. And acquiring an optimal weight value according to the conditions.
Step 8: the calculation result y is equal to A0·W。
Step 9: and alarming according to the calculation result.
The present embodiments also provide an integrated pyrolytic particle electrical fire monitoring apparatus comprising one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the comprehensive pyrolytic particle electrical fire monitoring method described above.
FIG. 2 is a block diagram of a comprehensive pyrolytic particle electrical fire monitoring system according to an embodiment of the present invention. The system comprises: temperature sensor, laser dust particulate matter sensor, gaseous pollutants sensor, real-time data memory cell, threshold value memory cell, weight analysis processing unit, result processing unit, alarm unit, wherein:
a temperature sensor for acquiring temperature T and temperature change rate VTAnd storing the data in a real-time data storage unit; laser dust particulate matter sensor for obtaining PM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10And storing the data in a real-time data storage unit; contaminant gas sensor for obtaining gas concentration C of C-H chain structuregasC-H chain structure type gas concentration change rate VgasAnd storing the data in a real-time data storage unit; the threshold storage unit is used for storing the threshold corresponding to each acquired parameter; the weight analysis processing unit is used for acquiring parameter values stored in the real-time data storage unit and threshold values in the threshold value storage unit and endowing different dynamic weights to all the parameters; the result processing unit is used for integrally fusing and calculating the processing result by combining each parameter value exceeding the threshold value with the dynamic weight; the alarm unit is used for giving an alarm according to the processing result calculated by the result processing unit and comprises an alarm grade judging unit and a buzzer; and the alarm grade judging unit is used for setting an alarm danger grade according to the processing result of the result processing unit and regulating and controlling the external alarm volume decibel of the buzzer.
As a preferred scheme, the system further comprises a parameter setting display unit; the parameter setting display unit is connected with the threshold storage unit through a data interface; the default threshold data can be exported through the data interface for checking, or the threshold data is modified after the actual application occasion is evaluated and is imported and stored to the threshold storage unit again. The threshold adjustable mode not only reduces the false alarm rate under certain conditions, but also can accurately forecast the potential safety hazard of the electrical fire in places with strict safety requirements in an early stage.
Namely, the system follows three processes of data collection, data processing and data storage in the execution process. The data collection comprises the following steps: real-time data (temperature, concentration of particles of different particle sizes, concentration of thermally decomposed gas), threshold D. The real-time data is collected by a temperature sensor, a laser dust particle sensor and a pollution gas sensor in real time. The threshold D can be checked by exporting default threshold data through the data interface, or the threshold data is modified and is imported and stored in the threshold D storage unit again after the actual situation is evaluated. The data processing comprises the following steps: the weight analysis processing and the processing of calculating the final result are completed by the weight analysis processing unit and the result processing unit. Based on the above process, the data storage includes the saving of real-time data acquired by different sensors and threshold data, namely a real-time data storage unit and a threshold storage unit. Aiming at the application aspect, the alarm grade judging unit demarcates the alarm danger grade according to the result transmitted by the result processing unit so as to regulate and control the external alarm volume decibel of the buzzer.
In summary, the temperature T and the temperature change rate V are selected in the inventionTConcentration of thermally decomposed gas CgasThe rate of change V of the concentration of the thermally decomposed gasgasPM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10The 7 parameters are comprehensively used as important parameters for safety early warning judgment in the low-voltage power distribution cabinet, and the 7 parameters are subjected to integral fusion analysis according to threshold setting and dynamic weight analysis, so that the safety hazard of electrical fire in the low-voltage power distribution cabinet is accurately and early detected, the missing report and the false report are avoided, and the method is suitable for popularization and application.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention in any way, and it will be apparent to those skilled in the art that the above description of the present invention can be applied to various modifications, equivalent variations or modifications without departing from the spirit and scope of the present invention.
Claims (8)
1. A comprehensive pyrolytic particle electrical fire monitoring method, comprising:
s1, acquiring real-time numerical values of 7 parameters in the low-voltage power distribution cabinet, wherein the real-time numerical values respectively comprise temperature T and temperature change rate VTConcentration of thermally decomposed gas CgasThe rate of change V of the concentration of the thermally decomposed gasgasPM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10；
Obtaining threshold values d corresponding to 7 parameters respectively1、d2、d3、d4、d5、d6、d7；
S2, giving different dynamic weights to each parameter and combining the parameter values exceeding the threshold value with the dynamic weights to integrally fuse the calculation processing results;
the S2 specifically includes:
s21, constructing a corresponding diagonal matrix S on the basis of the obtained threshold, which participates as an activation matrix:
where u (x) has a linear activation function:
s22: calculating an initial alarm parameter A0＝(a1 a2 a3 a4 a5 a6 a7) The calculation is as follows:
wherein the variables are represented as follows:
x1＝T，x2＝VT，x3＝Cgas，
x4＝Vgas，x5＝C1.0，x6＝C2.5，x7＝C10
s23: for initial alarm parameter A0In combination with the parametric weights, the process is represented as follows:
y＝A0·W0
＝A0·(w1 w2 w3 w4 w5 w6 w7)T
wherein W0Is an initial weight vector, wi(i ═ 1,2, … … 7) represents the respective parametric weights, with the risk level result y being a scalar;
s24: parameter value grade normalization:
multiplying each element in the weight vector by a corresponding multiplying factor diagonal matrix Q, wherein only the diagonal elements Q in Q11，q22，q33，q44，q55，q66，q77Nonzero, obtaining a normalized weight vector W:
s.t.w1+w2+w3+w4+w5+w6+w7＝1,
w2+w4≥0.4
s25: combining the real-time numerical value with the weight, determining the optimal weight according to the weight deviation and combining the limiting conditions, and designing a self-adaptive weight algorithm:
wherein δ is the amount of smoothing; acquiring an optimal weight value according to the conditions;
s26: the calculation result y is equal to A0·W；
And S3, sending out an alarm prompt according to the processing result.
2. A comprehensive pyrolytic particle electrical fire monitoring method according to claim 1 wherein in S1: the threshold value d1、d2、d3、d4、d5、d6、d7Is a threshold value checked or modified according to the actual application.
3. A comprehensive pyrolytic particle electrical fire monitoring method according to claim 1 wherein in S1: the temperature T and the temperature change rate VTReal-time acquisition by a temperature sensor; concentration C of the thermally decomposed gasgasAnd the rate of change V of the concentration of the thermally decomposed gasgasCollected by a pollution gas sensor in real time, and the concentration C of the PM1.0 particles1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10And the laser dust particle sensors are used for collecting the dust particles in real time.
4. A comprehensive pyrolytic particle electrical fire monitoring method according to claim 1, wherein in S3, alarm hazard level is defined according to the processing result, so as to regulate the external alarm volume decibel of buzzer.
5. An integrated pyrolytic particle electrical fire monitoring apparatus comprising one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the comprehensive pyrolytic particle electrical fire monitoring method of any one of claims 1-4.
6. A comprehensive pyrolytic particle electrical fire monitoring system, wherein the comprehensive pyrolytic particle electrical fire monitoring method of any one of claims 1-4 is applied, comprising a temperature sensor, a laser dust particulate matter sensor, a pollution gas sensor, a real-time data storage unit, a threshold value storage unit, a weight analysis processing unit, a result processing unit and an alarm unit, wherein:
a temperature sensor for acquiring temperature T and temperature change rate VTAnd storing the data in a real-time data storage unit;
laser dust particulate matter sensor for obtaining PM1.0 particle concentration C1.0PM2.5 particle concentration C2.5And PM10 particle concentration C10And storing the data in a real-time data storage unit;
contaminant gas sensor for obtaining gas concentration C of C-H chain structuregasC-H chain structure type gas concentration change rate VgasAnd storing the data in a real-time data storage unit;
the threshold storage unit is used for storing the threshold corresponding to each acquired parameter;
the weight analysis processing unit is used for acquiring parameter values stored in the real-time data storage unit and threshold values in the threshold value storage unit and endowing different dynamic weights to all the parameters;
the result processing unit is used for integrally fusing and calculating the processing result by combining each parameter value exceeding the threshold value with the dynamic weight;
and the alarm unit is used for giving an alarm according to the processing result calculated by the result processing unit.
7. The comprehensive pyrolytic particle electrical fire monitoring system of claim 6 further comprising a parameter setting display unit; the parameter setting display unit is connected with the threshold storage unit through a data interface; the default threshold data can be exported through the data interface for checking, or the threshold data is modified after the actual application occasion is evaluated and is imported and stored to the threshold storage unit again.
8. The comprehensive pyrolytic particle electrical fire monitoring system of claim 6, wherein the alarm unit comprises an alarm level discrimination unit and a buzzer; and the alarm grade judging unit is used for setting an alarm danger grade according to the processing result of the result processing unit and regulating and controlling the external alarm volume decibel of the buzzer.
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| CN112927463A (en) * | 2021-03-26 | 2021-06-08 | 华侨大学 | Pyrolysis particle electric fire monitoring device and method and distribution box |
| CN113538838B (en) * | 2021-07-22 | 2022-12-06 | 应急管理部沈阳消防研究所 | Electrical fire monitoring method for identifying pyrolytic particle characteristics of cultural relics and buildings |
| CN113554843A (en) * | 2021-07-29 | 2021-10-26 | 无锡圣敏传感科技股份有限公司 | Pyrolytic particle fire detection method and detector |
| CN114064628B (en) * | 2021-11-25 | 2022-05-31 | 北京中海兴达建设有限公司 | Data processing system for fire early warning of construction site |
| CN113936411A (en) * | 2021-12-08 | 2022-01-14 | 天津市普迅电力信息技术有限公司 | Electrical fire early warning method, system and device |
| CN114419830A (en) * | 2022-01-26 | 2022-04-29 | 江苏南工科技集团有限公司 | Pyrolysis particle fire detection early warning method based on weight algorithm technology |
| CN115753527A (en) * | 2022-11-19 | 2023-03-07 | 北京思维实创科技有限公司 | Electromechanical device fire early warning method and system, terminal device and storage medium |
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