CN111191942A - Fire safety risk assessment and early warning method - Google Patents
Fire safety risk assessment and early warning method Download PDFInfo
- Publication number
- CN111191942A CN111191942A CN202010000093.3A CN202010000093A CN111191942A CN 111191942 A CN111191942 A CN 111191942A CN 202010000093 A CN202010000093 A CN 202010000093A CN 111191942 A CN111191942 A CN 111191942A
- Authority
- CN
- China
- Prior art keywords
- risk
- model
- fire
- historical
- risk assessment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012502 risk assessment Methods 0.000 title claims abstract description 112
- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000005540 biological transmission Effects 0.000 claims abstract description 35
- 238000013210 evaluation model Methods 0.000 claims description 111
- 230000003068 static effect Effects 0.000 claims description 31
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 26
- 238000001514 detection method Methods 0.000 claims description 18
- 238000011156 evaluation Methods 0.000 claims description 15
- 238000012544 monitoring process Methods 0.000 claims description 12
- 238000007689 inspection Methods 0.000 claims description 9
- 238000011160 research Methods 0.000 claims description 8
- 238000005192 partition Methods 0.000 claims description 6
- 239000000779 smoke Substances 0.000 claims description 6
- 206010000369 Accident Diseases 0.000 claims description 3
- 239000004566 building material Substances 0.000 claims description 3
- 230000003203 everyday effect Effects 0.000 claims description 2
- 238000005507 spraying Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 8
- 238000011217 control strategy Methods 0.000 abstract description 3
- 230000002265 prevention Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 108010001267 Protein Subunits Proteins 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000012954 risk control Methods 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a fire-fighting fire risk assessment method, in particular to a fire-fighting safety risk assessment and early warning method. The method is characterized in that: and establishing an urban fire risk assessment model which comprises five levels of a first level index, a second level index, a third level index, a fourth level index and a fifth level index. The wireless transmission device can upload index information in real time, observe various data synchronously in a large area, acquire regions with higher fire risk values in real time, transmit the regions with potential safety hazards and equipment faults to relevant units in real time for maintenance, and provide conditions such as government department duty conditions, social unit fire safety quality and the like for a management decision layer by a historical risk assessment model so as to acquire weak links of urban fire safety, further reduce fire risks and provide a prospective fire risk management and control strategy for assessing cities.
Description
Technical Field
The invention relates to the technical field of fire fighting, in particular to a fire fighting safety risk assessment and early warning method.
Background
In modern city management, fire fighting work is one of the important contents of city safety management, fire fighting safety is not only related to the safety level grade of the whole city, but also related to the whole bureau for building a harmonious society, and once an accident occurs, great loss is possibly caused to the life safety and property of people, and a great deal of research is done by many scholars aiming at how to effectively prevent and control fire fighting safety risk, the research lays a theoretical foundation for the city fire fighting safety management and risk evaluation work on a certain basis, at present, fire fighting fire risk evaluation methods are various, various methods are different models of fire fighting risk based on different principles, the prior art establishes a risk evaluation model by means of investigating and determining evaluation indexes and establishing an evaluation system on the spot, and the risk value of the established model is in a static process for a long time, even if each index data is updated through on-site research, the artificial workload is large, the practicability is not realized, the fire fighting state is in the change process all the time, and the existing fire risk assessment model cannot provide a real-time early warning value for the fire fighting potential safety hazard.
Disclosure of Invention
In order to solve the problems existing in the prior art, the invention aims to: the method for evaluating and early warning of fire safety risks is provided, and the problems that an existing fire risk evaluation result is static and a real-time early warning value cannot be provided are solved.
In order to achieve the purpose, the invention adopts the technical scheme that:
the first step is as follows: and establishing an urban fire risk assessment model which comprises five levels of a first level index, a second level index, a third level index, a fourth level index and a fifth level index.
The five-level indexes comprise a manual patrol evaluation model, a transmission data risk evaluation model, a water pressure system risk evaluation model, an electric system risk evaluation model, a transmission historical data risk evaluation model, a water pressure system historical risk evaluation model and an electric system historical risk evaluation model.
And the sub-units of the manual inspection evaluation model are respectively the fire passage condition, the fire hydrant intact condition and the fire equipment intact condition, and the information of each sub-unit is uploaded through wireless transmission equipment, and the risk value of the sub-unit is obtained.
And the sub-units of the data transmission risk assessment model are respectively an anti-smoke exhaust system, a fire emergency lighting system, a fire fighting water supply system, an automatic alarm system and a fire accident broadcast, and detection data of each sub-unit is uploaded to the data transmission risk assessment model through wireless transmission equipment to assess the risk level.
The sub-units of the water pressure system risk assessment model are a fire hydrant pipeline water pressure detection system, a spraying pipeline water pressure detection system and a fire water pool water level detection system respectively, and detection data of each sub-unit is uploaded to the water pressure system risk assessment model through wireless equipment to carry out risk level assessment.
The sub-units of the electrical system risk assessment model are respectively a residual current monitoring system, an arc occurrence monitoring system, a passing current monitoring system and a wire temperature monitoring system, and detection data of each sub-unit is uploaded to the electrical system risk assessment model through wireless equipment to carry out risk level assessment.
The used historical data risk assessment model and the used historical data risk assessment model comprise the same subunits, and historical detection data of each subunit are collected to the used historical data risk assessment model to carry out risk level assessment; the hydraulic system historical risk assessment model and the hydraulic system risk assessment model comprise the same subunits, and historical detection data of each subunit are collected to the hydraulic system historical risk assessment model for risk level assessment; the historical risk assessment model of the electrical system is the same as the subunits contained in the risk assessment model of the electrical system, and historical detection data of each subunit are collected to the historical risk assessment model of the electrical system for risk level assessment.
The four-level indexes comprise an equipment state evaluation model, a historical risk evaluation model and a static index risk evaluation model.
The second step is that: calculating a risk value of the equipment state evaluation model; the risk values of the four units, namely the manual inspection evaluation model, the data transmission risk evaluation model, the hydraulic system risk evaluation model, the electric system risk evaluation model and the like, are uploaded to the equipment state evaluation model for further comprehensive evaluation, and the risk value of the equipment state evaluation model is calculated and reflects the real-time risk value of the equipment.
The third step: calculating a risk value of a historical risk assessment model; the historical risk assessment model may be assessed in terms of weeks, months, quarters, years and custom time periods, the risk values of the three units, namely the historical data transmission risk evaluation model, the historical risk evaluation model of the hydraulic system, the historical risk evaluation model of the electric system and the like, are uploaded to the historical risk evaluation model for further comprehensive evaluation, and the risk value of the historical risk evaluation model is calculated, the risk value reflects the maintenance time of the fault equipment, if the unit related to the fault equipment completes the equipment maintenance in a short time, the historical risk value of the unit can be reduced, meanwhile, the response time of related units to the fault equipment provides the conditions of the job-providing situation of government departments, the fire-fighting safety quality of social units and the like for the management decision layer, therefore, weak links of urban fire safety can be known, and a management and control strategy for evaluating urban fire safety risks is further provided.
Fourthly, calculating a risk value of the static index risk assessment model, obtaining relevant information related to fire safety of the building in a market research mode, dividing the static index risk assessment model into sub-units of building materials and structures, building areas and floors, fire loads, fire partitions, smoke partitions, evacuation facilities, fire extinguishing equipment allocation, personnel intensity and the like, scoring the actual situation of the static index according to an expert comment method, wherein the maximum value of the score is 1, the minimum value is 0, the rest value is 0-1, and a risk assessment algorithm of the static index risk assessment model is as follows: sum of each sub-unit score/number of sub-units.
And fifthly, calculating a risk value of a third-level index, wherein the third-level index comprises a plurality of social unit risk evaluation models, uploading the risk value of each unit (equipment state evaluation model, historical risk evaluation model and static index risk evaluation model) of the fourth-level index to the social unit risk evaluation models, and calculating the risk value of each social unit.
And sixthly, calculating a risk value of a secondary index, wherein the secondary index comprises a plurality of jurisdictional risk evaluation models, uploading the risk value of each unit (a social unit 1 risk evaluation model, a social unit 2 risk evaluation model … … social unit n risk evaluation model) of the tertiary index to the jurisdictional risk evaluation model, and calculating the risk value of each jurisdiction according to the weight proportion of each social unit.
And seventhly, calculating a first-level index risk value, wherein the first-level index is a universe risk evaluation model, uploading the risk values of all units (a jurisdiction 1 risk evaluation model and a jurisdiction 2 risk evaluation model … … jurisdiction n risk evaluation model) of the second-level index to the universe risk evaluation model, and calculating the universe risk value according to the weight proportion of all jurisdiction units.
Compared with the prior art, the invention has the following advantages:
the method comprises the steps of establishing a risk assessment model by carrying out on-site research to determine assessment indexes and establishing an assessment system in the prior art, assessing once per year according to the regulations of a fire-fighting law to meet the requirements, wherein the risk value of the established model is in a static process for a long time, and even if the data of each index is updated by the on-site research, the artificial workload is large and the model has no practicability The method has the advantages of reliability, rapidness and the like, has certain current situation, and provides basis for disaster prevention and reduction; meanwhile, the historical risk assessment model reflects the maintenance time of the faulty equipment according to the historical record values of the sub-units, if the relevant units of the faulty equipment complete equipment maintenance in a short time, the historical risk value of the relevant units can be reduced, meanwhile, the response time of the relevant units to the faulty equipment provides the conditions of government department employment, social unit fire safety quality and the like for the management decision layer, and the units with long maintenance time and slow progress are fed back by high risk values, so that the weak links of urban fire safety can be known, the management and control strategy for assessing the urban fire safety risk is further provided, and the establishment of disaster prevention and relief strategies can be better served.
Drawings
Fig. 1 is an evaluation diagram of the fire safety risk of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The first step is as follows: and establishing an urban fire risk assessment model which comprises five levels of a first level index, a second level index, a third level index, a fourth level index and a fifth level index.
The five-level indexes comprise a manual patrol evaluation model, a transmission data risk evaluation model, a water pressure system risk evaluation model, an electric system risk evaluation model, a transmission historical data risk evaluation model, a water pressure system historical risk evaluation model and an electric system historical risk evaluation model; each model in the five-level index comprises a plurality of subunits.
The sub-units of the manual inspection evaluation model are respectively the fire passage condition, the fire hydrant condition and the fire equipment condition, inspection personnel inspect the inspection unit every day and upload inspection records through wireless transmission equipment, so that the risk value of the manual inspection evaluation model in the five-level index is obtained. The risk assessment algorithm is as follows: the current alarm number/total point number, wherein the meaning of the specific index is shown in table 1.
TABLE 1 implications of part of the indices in the Risk assessment Algorithm
| Index (I) | Means of | Index (I) | Means of |
| Alarm number | Detecting data exceeding a preset value | Rate of alarm | Current alarm count/total number of bits |
| Number of masks | Data transmission signalMasking value | Shielding rate | Current mask count/total bit count |
The sub-units of the data transmission risk assessment model are respectively an anti-smoke exhaust system, a fire emergency lighting system, a fire fighting water supply system, an automatic alarm system and a fire accident broadcast, each sub-unit is provided with a detection device, and the characteristic information of each sub-unit can be uploaded to the data transmission risk assessment model in real time through wireless transmission equipment, and the risk assessment algorithm is as follows: current shielding rate x weight (0.4) + current alarm rate x weight (0.6). When the detection signal value is higher than the preset value of the model or lower than the preset value if the fire-fighting water supply system is higher than the preset value, the detection signal value is regarded as an alarm signal, and the preset value is set according to the actual condition of each sub-unit; due to the fault of the wireless detection equipment, the data of each subunit cannot be uploaded and regarded as a shielding signal; the equipment state evaluation model uploads the alarm signal and the shielding signal of each sub-unit to each social unit, and related social units organize manpower to maintain corresponding equipment, so that the fire risk value is reduced in time.
The sub-unit of hydraulic system risk assessment model is fire hydrant pipeline water pressure detecting system, spray line water pressure detecting system, fire pond water level detecting system respectively, and each sub-unit equipartition has put check out test set to the characteristic information of each sub-unit is uploaded in real time to accessible wireless transmission equipment, and its risk assessment algorithm is: current shielding rate x weight (0.4) + current alarm rate x weight (0.6).
The sub-units of the electrical system risk assessment model are respectively a residual current monitoring system, an arc occurrence monitoring system, a wire passing current monitoring system and a wire temperature monitoring system, detection equipment is arranged on each sub-unit, the electrical system risk assessment model can be uploaded by wireless transmission equipment in real time, and the risk assessment algorithm is as follows: current shielding rate x weight (0.4) + current alarm rate x weight (0.6).
The four-level indexes comprise an equipment state evaluation model, a historical risk evaluation model and a static index risk evaluation model.
The second step is that: calculating a risk value of the equipment state evaluation model; the risk values of the four units, namely the manual patrol evaluation model, the data transmission risk evaluation model, the hydraulic system risk evaluation model, the electric system risk evaluation model and the like, are uploaded to the equipment state evaluation model for further comprehensive evaluation, and the risk evaluation algorithm of the equipment state evaluation model is as follows: the risk value of the manual patrol evaluation model is multiplied by weight (0.2), the risk value of the data transmission risk evaluation model is multiplied by weight (0.3), the risk value of the hydraulic system risk evaluation model is multiplied by weight (0.25), and the risk value of the electrical system risk evaluation model is multiplied by weight (0.25).
The third step: calculating a risk value of a historical risk assessment model; the historical risk assessment model can be assessed according to week, month, quarter, year and user-defined time period, risk values of three units, namely the transmission historical data risk assessment model, the hydraulic system historical risk assessment model and the electric system historical risk assessment model are uploaded to the historical risk assessment model for further comprehensive assessment, and risk values of the historical risk assessment model are calculated, as shown in fig. 1, the transmission historical data risk assessment model and the transmission historical data risk assessment model comprise the same subunits, the hydraulic system historical risk assessment model and the hydraulic system risk assessment model comprise the same subunits, and the electric system historical risk assessment model and the electric system risk assessment model comprise the same subunits. The risk value evaluation algorithm of the historical risk evaluation model is shown in table 2:
TABLE 2 Risk value evaluation algorithm using historical risk evaluation model
| Index (I) | Formula (II) |
| Individual device historical risk value A (n) | Equipment history alarm accumulated time duration T (n)/equipment access duration ZT (n) |
| Historical risk values for all devices | [A(1)+ A(2)+…+A(n)]Total number of access points |
The risk value evaluation algorithm of the water pressure and electric system historical risk evaluation model is shown in table 3:
TABLE 3 historical risk assessment algorithm index for water pressure and electrical system
| Index (I) | Means of |
| Individual device history shielding rate | Single device history mask duration/device access duration |
| Historical shielding rates for all devices | Sum of historical shielding rates of all devices/total number of access points |
| Individual device historical alarm rate | Single device historical alarm duration/device access duration |
| Historical alarm rates for all devices | Sum of historical alarm rates of all devices/total number of access points |
| Historical risk values for all devices | Historical shielding rate x weight (0.4) + historical alarm rate x weight (0.6) |
The risk value algorithm of the historical risk assessment model comprises the following steps: and (3) evaluating the risk value of the model by using the historical risk, multiplying the weight (0.4), the historical risk value of the hydraulic system, multiplying the weight (0.3), and the historical risk value of the electric system, multiplying the weight (0.3).
Fourthly, calculating a risk value of the static index risk assessment; obtaining relevant information of fire safety association of a building in a market research mode, dividing a static index risk assessment model into sub-units such as building materials and structures, building areas and floors, fire loads, fire partitions, smoke partitions, evacuation facilities, fire extinguishing facility allocation, personnel intensity and the like, scoring the actual situation of the static index according to an expert review method, wherein the maximum value of the score grade is 1, the minimum value is 0, the rest value is between 0 and 1, and the risk assessment algorithm of the static index risk assessment model is as follows: sum of point location scores/total number of point locations. The static index risk assessment model cannot be monitored in real time through equipment, and a risk value is determined in a field investigation and expert assessment mode.
And fifthly, calculating a risk value of a third-level index, wherein the third-level index comprises a plurality of social unit risk evaluation models, uploading the risk value of each unit (equipment state evaluation model, historical risk evaluation model and static index risk evaluation model) of the fourth-level index to the social unit risk evaluation models, and uploading the risk values of each model of the fourth-level index to the social unit of the third-level index to obtain the risk value of each social unit, wherein the risk values of each model of the fourth-level index are independent.
Sixthly, calculating a risk value of a secondary index, wherein the secondary index comprises a plurality of jurisdictional risk assessment models, uploading the risk value of each unit (a social unit 1 risk assessment model, a social unit 2 risk assessment model … … social unit n risk assessment model) of the tertiary index to the jurisdictional risk assessment models, and an algorithm of the risk value of each unit of the secondary index is shown in a table 4:
TABLE 4 Algorithm index for Risk value of units of Secondary index
| Index (I) | Formula (II) | Weight meanings |
| District device shape Attitude risk value | Risk value of equipment state evaluation model of social unit 1 multiplied by weight (1) + risk value of equipment state evaluation model of social unit 2 multiplied by weight Value (2) + … + social unit n device status assessment model risk value x weight (n) | Weight value: each social unit equipment count is in the jurisdiction The ratio of all the devices. |
| Historical wind in district Risk value | Risk value of historical risk assessment model of social unit 1 multiplied by weight (1) + risk value of historical risk assessment model of social unit 2 multiplied by weight Value (2) + … + social unit n historical risk assessment model risk value x weight (n) | Weight value: each social unit equipment count is in the jurisdiction The ratio of all the devices. |
| District static wind Risk value | (social unit 1 static index risk assessment model risk value + social unit 2 static index risk assessment model risk value + … + Social unit n static index risk assessment model risk value)/n |
Seventhly, calculating a first-level index risk value, wherein the first-level index is a global risk assessment model, uploading the risk values of all units (a jurisdiction 1 risk assessment model and a jurisdiction 2 risk assessment model … … jurisdiction n risk assessment model) of the second-level index to the global risk assessment model, and an algorithm of the risk values is shown in table 5:
TABLE 5 Algorithm indices for first-level index Risk values
| Index (I) | Formula (II) | Weight meanings |
| Global device status Value of risk | Jurisdiction 1 equipment state evaluation model risk value x weight (1) + Jurision 2 equipment state evaluation model risk value x weight (2) + … + prefecture n equipment state evaluation model risk value x weight (n) | Weight value: all the devices in all jurisdictions The percentage of the number of devices. |
| Global historical risk Value of | Jurisdiction 1 historical risk assessment model risk value x weight (1) + Jurision 2 historical risk assessment model risk value x weight (2) + … + jurisdiction n historical risk assessment model risk value x weight (n) | Weight value: all the devices in all jurisdictions The percentage of the number of devices. |
| Global static risk Value of | (Jurisdiction 1 static Risk + Jurision 2 static Risk + … + Jurision n static Risk)/n |
The urban three-dimensional fire risk assessment model is established through the unit equipment state assessment model, the historical risk assessment model and the static index risk model, the unit with the higher static index risk value is focused, the existing data information is analyzed through model risk analysis, and a basis is provided for disaster prevention and relief decisions. The fire-fighting fire risk evaluation model can extract information of each index in real time through a wireless transmission device and synchronously observe each data in large area, meanwhile, the historical risk evaluation model reflects the maintenance time of faulty equipment according to the historical record value of each subunit, feeds back the units with long maintenance time and slow progress by high risk value, and provides a prospective fire-fighting risk control strategy for evaluating cities, the method can better serve the establishment of disaster prevention and relief strategies.
Claims (3)
1. A fire safety risk assessment and early warning method is characterized by comprising the following steps: establishing an urban fire risk assessment model, which comprises five levels of a first level index, a second level index, a third level index, a fourth level index and a fifth level index;
the five-level indexes comprise a manual patrol evaluation model, a transmission data risk evaluation model, a water pressure system risk evaluation model, an electric system risk evaluation model, a transmission historical data risk evaluation model, a water pressure system historical risk evaluation model and an electric system historical risk evaluation model;
the sub-units of the manual inspection evaluation model are the fire passage condition, the fire hydrant intact condition and the fire-fighting equipment intact condition respectively; the sub-units of the data transmission risk assessment model are an anti-smoke system, a fire emergency lighting system, a fire fighting water supply system, an automatic alarm system and a fire accident broadcast respectively; the sub-units of the water pressure system risk assessment model are a fire hydrant pipeline water pressure detection system, a spraying pipeline water pressure detection system and a fire pool water level detection system respectively; the sub-units of the electrical system risk assessment model are a residual current monitoring system, an arc occurrence monitoring system, a line passing current monitoring system and a wire temperature monitoring system respectively;
the historical data transmission risk assessment model and the historical data transmission risk assessment model comprise the same subunits, the historical hydraulic system risk assessment model and the historical hydraulic system risk assessment model comprise the same subunits, and the historical electric system risk assessment model comprise the same subunits;
the four-level indexes comprise an equipment state evaluation model, a historical risk evaluation model and a static index risk evaluation model;
the second step is that: calculating a risk value of the equipment state evaluation model; the risk values of the manual inspection evaluation model, the data transmission risk evaluation model, the water pressure system risk evaluation model, the electric system risk evaluation model and the like are uploaded to the equipment state evaluation model for further comprehensive evaluation, and the risk value of the equipment state evaluation model is calculated;
the third step: calculating a risk value of a historical risk assessment model; the historical risk assessment model can be assessed according to week, month, quarter, year and user-defined time period, risk values of the three units, namely the historical data transmission risk assessment model, the hydraulic system historical risk assessment model, the electric system historical risk assessment model and the like, are uploaded to the historical risk assessment model for further comprehensive assessment, and the risk value of the historical risk assessment model is calculated;
fourthly, calculating a risk value of the static index risk assessment model, obtaining relevant information related to fire safety of the building in a market research mode, dividing the static index risk assessment model into sub-units such as building materials and structures, building areas and floors, fire loads, fire partitions, smoke partitions, evacuation facilities, fire extinguishing equipment allocation, personnel intensity and the like, and scoring the actual condition of the static index according to an expert evaluation method;
fifthly, calculating a risk value of a third-level index, wherein the third-level index comprises a plurality of social unit risk evaluation models, uploading the risk value of each unit (equipment state evaluation model, historical risk evaluation model and static index risk evaluation model) of the fourth-level index to the social unit risk evaluation models, and calculating the risk value of each social unit;
sixthly, calculating a risk value of a secondary index, wherein the secondary index comprises a plurality of jurisdictional risk evaluation models, uploading the risk value of each unit (a social unit 1 risk evaluation model, a social unit 2 risk evaluation model … … social unit n risk evaluation model) of the tertiary index to the jurisdictional risk evaluation model, and calculating the risk value of each jurisdiction according to the weight proportion of each social unit;
and seventhly, calculating a first-level index risk value, wherein the first-level index is a universe risk evaluation model, uploading the risk values of all units (a jurisdiction 1 risk evaluation model and a jurisdiction 2 risk evaluation model … … jurisdiction n risk evaluation model) of the second-level index to the universe risk evaluation model, and calculating the universe risk value according to the weight proportion of all jurisdiction units.
2. The fire safety risk assessment and early warning method according to claim 1, wherein detection devices are arranged in sub-units of the data transmission risk assessment model, the hydraulic system risk assessment model, the electrical system risk assessment model, the historical data transmission risk assessment model, the historical risk assessment model of the hydraulic system and the historical risk assessment model of the electrical system, and are uploaded to superior indexes in real time through wireless transmission equipment.
3. The fire safety risk assessment and early warning method according to claim 1, wherein each sub-unit of the manual patrol assessment model checks the patrol unit by patrol personnel every day, and uploads patrol records through wireless transmission equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010000093.3A CN111191942A (en) | 2020-01-01 | 2020-01-01 | Fire safety risk assessment and early warning method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010000093.3A CN111191942A (en) | 2020-01-01 | 2020-01-01 | Fire safety risk assessment and early warning method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111191942A true CN111191942A (en) | 2020-05-22 |
Family
ID=70709840
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010000093.3A Pending CN111191942A (en) | 2020-01-01 | 2020-01-01 | Fire safety risk assessment and early warning method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111191942A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115063954A (en) * | 2022-06-01 | 2022-09-16 | 武汉誉钱乐房地产有限公司 | Intelligent fire-fighting on-line monitoring wireless alarm service system based on Internet of things |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107886235A (en) * | 2017-11-08 | 2018-04-06 | 重庆科技学院 | A kind of Fire risk assessment method for coupling certainty and uncertainty analysis |
| CN107909283A (en) * | 2017-11-17 | 2018-04-13 | 武汉科技大学 | A kind of Urban Fire Risk appraisal procedure based on a reference value |
| CN108053594A (en) * | 2017-12-20 | 2018-05-18 | 江苏金鸽网络科技有限公司 | A kind of fire alarm method for pinpointing territory element |
| CN109448295A (en) * | 2018-11-24 | 2019-03-08 | 石家庄市圣铭科技有限公司 | A kind of forest, grassland fireproofing prewarning monitoring system |
| CN109543955A (en) * | 2018-10-26 | 2019-03-29 | 中电科新型智慧城市研究院有限公司 | Regional fire methods of risk assessment based on smart city |
| CN110163251A (en) * | 2019-04-15 | 2019-08-23 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of Optimum Identification Method of fire hazard rating, device and terminal device |
| CN110555617A (en) * | 2019-09-05 | 2019-12-10 | 消检通（深圳）科技有限公司 | Real-time dynamic quantitative assessment method for building fire risk based on Internet of things |
-
2020
- 2020-01-01 CN CN202010000093.3A patent/CN111191942A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107886235A (en) * | 2017-11-08 | 2018-04-06 | 重庆科技学院 | A kind of Fire risk assessment method for coupling certainty and uncertainty analysis |
| CN107909283A (en) * | 2017-11-17 | 2018-04-13 | 武汉科技大学 | A kind of Urban Fire Risk appraisal procedure based on a reference value |
| CN108053594A (en) * | 2017-12-20 | 2018-05-18 | 江苏金鸽网络科技有限公司 | A kind of fire alarm method for pinpointing territory element |
| CN109543955A (en) * | 2018-10-26 | 2019-03-29 | 中电科新型智慧城市研究院有限公司 | Regional fire methods of risk assessment based on smart city |
| CN109448295A (en) * | 2018-11-24 | 2019-03-08 | 石家庄市圣铭科技有限公司 | A kind of forest, grassland fireproofing prewarning monitoring system |
| CN110163251A (en) * | 2019-04-15 | 2019-08-23 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of Optimum Identification Method of fire hazard rating, device and terminal device |
| CN110555617A (en) * | 2019-09-05 | 2019-12-10 | 消检通（深圳）科技有限公司 | Real-time dynamic quantitative assessment method for building fire risk based on Internet of things |
Non-Patent Citations (1)
| Title |
|---|
| 陈朝阳;: "城市区域火灾风险评估的实践与探讨", 消防科学与技术, no. 09, 15 September 2008 (2008-09-15), pages 685 - 689 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115063954A (en) * | 2022-06-01 | 2022-09-16 | 武汉誉钱乐房地产有限公司 | Intelligent fire-fighting on-line monitoring wireless alarm service system based on Internet of things |
| CN115063954B (en) * | 2022-06-01 | 2023-10-24 | 广东三鼎智慧信息科技有限公司 | Intelligent fire-fighting on-line monitoring wireless alarm service system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110555617B (en) | Real-time dynamic quantitative assessment method for building fire risk based on Internet of things | |
| Liu et al. | Fire risk assessment for large-scale commercial buildings based on structure entropy weight method | |
| CN102999813B (en) | Social unit fire-fighting comprehensive information management platform and implementation method thereof | |
| CN112529265B (en) | Comprehensive risk assessment and prediction method and system for gas pipeline | |
| Chen et al. | Emergency rescue capability evaluation on urban fire stations in China | |
| CN111311085A (en) | Dynamic risk assessment method and device for building fire based on Internet of things monitoring | |
| CN113139322B (en) | Nuclear power plant fire response and drilling capability evaluation system and method | |
| CN113988530A (en) | Non-coal mine safety risk assessment grading method and system | |
| CN102521497A (en) | Method and system for handling power grid operation risk | |
| CN110675038A (en) | Urban underground comprehensive pipe gallery risk assessment method based on control force | |
| CN109064050A (en) | Multiple linear regression Fire risk assessment method based on big data | |
| CN104269010A (en) | Method and system for warning fire risk in monitoring area | |
| CN115392708A (en) | Fire risk assessment and early warning method and system for building fire protection | |
| CN111178732A (en) | Regional dynamic fire risk assessment method based on big data enabling condition | |
| CN112633552A (en) | Gas pipeline and peripheral pipeline coupling hidden danger identification and risk assessment method and system | |
| CN112488576A (en) | Fire-fighting risk assessment method, system, computer equipment and readable storage medium | |
| CN113515720B (en) | Method for identifying and evaluating major safety risk of dangerous chemical enterprise | |
| CN114926028A (en) | Tunnel fire risk assessment method | |
| CN111191942A (en) | Fire safety risk assessment and early warning method | |
| CN113935571A (en) | Gas station security risk assessment grading method and system | |
| CN101882294A (en) | urban fire risk assessment method based on criterion | |
| CN113505341A (en) | Method and device for evaluating subway safety risk and emergency capacity based on situation construction | |
| CN103870716B (en) | A kind of building fire protection facility fault impact grading determination method | |
| Zhang et al. | Analysis and research on fire safety of university dormitory based on Bayesian network | |
| CN115394036A (en) | Monitoring and early warning method and system for building fire |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |