CN115600827B - Regional fire assessment method based on big data interconnection - Google Patents
Regional fire assessment method based on big data interconnection Download PDFInfo
- Publication number
- CN115600827B CN115600827B CN202211612068.6A CN202211612068A CN115600827B CN 115600827 B CN115600827 B CN 115600827B CN 202211612068 A CN202211612068 A CN 202211612068A CN 115600827 B CN115600827 B CN 115600827B
- Authority
- CN
- China
- Prior art keywords
- building
- fire
- influence
- height
- value
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000011156 evaluation Methods 0.000 claims abstract description 107
- 230000007613 environmental effect Effects 0.000 claims abstract description 56
- 238000004364 calculation method Methods 0.000 claims description 67
- 238000004458 analytical method Methods 0.000 claims description 52
- 230000002093 peripheral effect Effects 0.000 claims description 31
- 239000000178 monomer Substances 0.000 claims description 20
- 238000010276 construction Methods 0.000 claims description 12
- 230000007480 spreading Effects 0.000 claims description 12
- 238000003892 spreading Methods 0.000 claims description 12
- 230000004083 survival effect Effects 0.000 claims description 5
- 238000000556 factor analysis Methods 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005034 decoration Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 230000003111 delayed effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000001603 reducing effect Effects 0.000 description 2
- 230000002194 synthesizing effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 230000003068 static effect Effects 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
-
- 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
- G06Q50/08—Construction
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Alarm Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a regional fire assessment method based on big data interconnection, which relates to the technical field of fire assessment, and comprises the following steps: analyzing the building data stored in the regional building database, and obtaining the fire risk index of each building; the regional building database stores a regional building map and building parameters; collecting environmental data of a fire area, analyzing the collected environmental data, and obtaining an environmental impact index; the invention can obtain the influence range generated when a fire disaster occurs by analyzing the building condition in the area and combining environmental factors to obtain a comprehensive judgment result of the fire disaster influence so as to solve the problem that the prior art lacks effective evaluation on the fire disaster influence in the area.
Description
Technical Field
The invention relates to the technical field of fire assessment, in particular to a regional fire assessment method based on big data interconnection.
Background
Urban fire protection is a preventive and disaster-reducing measure for preventing and reducing urban losses caused by fire. In the process of urban fire protection, the work of fire protection is very important, and the occurrence of fire not only affects the property safety of residents, but also affects the life safety of residents.
In the prior art, when fire fighting is performed on a fire in an area, fire treatment is performed on the basis of fire alarm information generally, but judgment on the fire situation is lacked in the process, and the influence situation of the fire on the normal situation is judged on the basis of the experience of an alarm person and firefighters, so that great errors can be easily caused in the evaluation of the fire influence in the area, and further fire fighting and disaster relief are delayed; there is therefore a need for a method or system that can effectively assess the fire condition in an area to address the above-mentioned challenges.
Disclosure of Invention
The invention aims to solve at least one of the technical problems in the prior art to a certain extent, and can obtain the influence range generated when a fire disaster occurs by dividing the area, analyzing the conditions of buildings in the area and combining environmental factors to obtain a comprehensive judgment result of the fire disaster influence so as to solve the problem that the effective evaluation of the fire disaster influence in the area is lacked in the prior art.
In order to achieve the above object, the present invention provides a regional fire assessment method based on big data interconnection, wherein the assessment method comprises the following steps:
analyzing the building data stored in the regional building database, and obtaining the fire risk index of each building; the regional building database stores a regional building map and building parameters;
collecting environmental data of a fire area, analyzing the collected environmental data, and obtaining an environmental impact index;
acquiring the position of a fire building and the height of the fire through a fire alarm, analyzing fire information of a fire area, and obtaining a fire analysis result of the fire area;
comprehensively calculating and analyzing the nearby buildings in the fire area and the environmental impact index to obtain a peripheral impact analysis result;
and comprehensively evaluating based on the fire analysis result of the fire area and the peripheral influence analysis result to obtain an area fire influence result.
Further, the building parameters include building height and building flammability value; the building flammability value is configured with a building flammability calculation method, the building flammability calculation method comprising: acquiring the occupancy rate and the number of years of a building, and calculating the occupancy rate and the number of years of the building through an inflammable influence calculation formula to obtain an inflammable value of the building, wherein the inflammable influence calculation formula is configured as follows: pjy = Yjz × Lrz × 100; wherein Pjy is the flammable value of the building, yjz is the number of years of the building, and Lrz is the survival rate.
Further, analyzing the building data stored in the regional building database and obtaining the fire risk index for each building includes: building a three-dimensional model of a regional building according to a building map; the method for constructing the three-dimensional model of the regional building is configured by the three-dimensional model of the regional building, and comprises the following steps: constructing a two-dimensional plane building map according to the building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; each building model comprises a cross section structure and a building height, single building models are built according to the cross section structure and the building height, and all single building models in a region are built to form a three-dimensional model of the region building;
calculating the height of the building and the inflammable value of the building through a single building fire risk calculation formula to obtain a fire risk index of the single building;
the fire risk calculation formula of the single building is configured as follows: zdh = Pjy × Hjz; wherein Zdh is the fire risk index of the individual building and Hjz is the building height.
Further, collecting environmental data of the fire area includes: acquiring an environment humidity value once by a humidity sensor every first environment acquisition time;
when the fire alarm outputs a fire occurrence signal, the ambient wind speed value and the wind direction are acquired through the wind speed sensor.
Further, analyzing the collected environmental data and obtaining an environmental impact index includes:when the fire alarm outputs a fire occurrence signal, calculating a plurality of environment humidity values acquired in a first past acquisition time period through a humidity influence calculation formula to obtain a humidity influence value, wherein the humidity influence calculation formula is configured as follows:
(ii) a The method comprises the following steps of obtaining a plurality of environmental humidity values in a first past acquisition time period, wherein Psy is a humidity influence value, S1 to Sn are a plurality of environmental humidity values obtained in the first past acquisition time period respectively, and n is the number of the plurality of environmental humidity values obtained in the first past acquisition time period;
calculating the humidity influence value and the wind speed value through an environment influence calculation formula to obtain an environment influence index, wherein the environment influence calculation formula is configured as follows:
(ii) a Wherein Zhy is an environmental influence index, vf is a wind speed value, k1 is a correlation coefficient between humidity influence and wind speed, k1 is a constant, and k1 is greater than zero.
Further, analyzing the fire information of the fire area, and obtaining a fire analysis result of the fire area includes: locking the fire building according to the obtained position of the fire building;
calculating the building height of the building with the fire and the height of the building with the fire through a fire height influence calculation formula to obtain a fire height influence index, wherein the fire height influence calculation formula is configured as follows: zqg = Hjz × a1 （H1-Hqh） (ii) a Wherein Zqg is an index of influence of the ignition height, hqh is the height of the ignition, H1 is the turning height of the influence of the ignition, a1 is the number of the influence bottoms of the ignition height, a1 is a constant, and the value range of a1 is between 0 and 1;
and multiplying the ignition height influence index and the environmental influence index to obtain a monomer ignition risk index.
Further, the comprehensive calculation and analysis of the nearby buildings in the fire area and the environmental impact index are performed, and the obtaining of the peripheral impact analysis result comprises: acquiring the height of the fire, and constructing a building model of the height of the fire according to the height of the fire;
the building model of the height at which the fire is located is provided with a building model construction method of the height at which the fire is located, and the building model construction method of the height at which the fire is located comprises the following steps: acquiring a two-dimensional plane building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; subtracting the height of the fire from the height of each building to obtain the updated height of the single fire; building a single building updating model of a building with the single fire-starting updating height larger than zero, wherein the single building updating model comprises a cross section structure and a single fire-starting updating height, and the single building updating model is built according to the cross section structure and the single fire-starting updating height; building the single building with the single fire-starting updating height less than or equal to zero is unified to establish a single building updating model according to the zero height;
and building all the single building updating models within the first influence distance from the fire building in the area to form a building model of the height of the fire.
Further, the comprehensive calculation and analysis of the buildings adjacent to the fire area and the environmental impact index to obtain the analysis result of the peripheral impact further comprises: acquiring a wind direction, setting the wind direction as a spreading influence azimuth, acquiring an influence building of a fire building in the spreading influence azimuth according to a building model of the height of the fire, calculating the nearest distance between the fire building and the influence building according to the spreading influence azimuth, and setting the nearest distance as an influence distance;
calculating the fire risk index, the influence distance and the environmental influence index of the single building influencing the building through a fire influence calculation formula to obtain a fire influence value, wherein the fire influence calculation formula is configured as follows:
(ii) a Wherein, pyq is the influence value of fire, and Syx is the influence distance;
and adding the fire influence values of all the influencing buildings to obtain a peripheral influence index.
Further, comprehensively evaluating based on the fire analysis result and the peripheral influence analysis result of the fire area, and obtaining the area fire influence result comprises: and calculating the peripheral influence index and the monomer fire risk index through a comprehensive evaluation calculation formula to obtain a comprehensive evaluation value, wherein the comprehensive evaluation calculation formula is configured as follows: pzh = b1 × Zdt + b2 × zzbb; wherein Pzh is a comprehensive evaluation value, ZDt is a monomer fire risk index, zzb is a peripheral influence index, b1 is a monomer risk ratio coefficient, b2 is a peripheral risk ratio coefficient, b1 and b1 are constants, the value ranges of b1 and b2 are both between 0 and 1, and b1+ b2=1;
presetting a first evaluation threshold and a second evaluation threshold, wherein the first evaluation threshold is larger than the second evaluation threshold, setting a regional fire evaluation grade according to the first evaluation threshold and the second evaluation threshold, and outputting a regional fire high risk grade when the comprehensive evaluation value is larger than or equal to the first evaluation threshold; when the comprehensive evaluation value is greater than or equal to a second evaluation threshold value and smaller than a first evaluation threshold value, outputting the risk level in the regional fire; and outputting the low risk level of the fire in the area when the comprehensive evaluation value is smaller than the second evaluation threshold value.
The invention has the beneficial effects that: according to the method, the building data stored in the regional building database are analyzed, and the fire risk index of each building is obtained; the regional building database stores a regional building map and building parameters; the method can carry out the basic analysis of the building fire based on the parameters of the building; then, collecting environmental data of the fire area, analyzing the collected environmental data to obtain an environmental influence index, and synthesizing environmental factors to improve the comprehensiveness of fire analysis;
acquiring the position of a fire building and the height of the fire through a fire alarm, analyzing fire information of a fire area, and obtaining a fire analysis result of the fire area; comprehensively calculating and analyzing the nearby buildings in the fire area and the environmental impact index to obtain a peripheral impact analysis result; the method can analyze the influence of the fire building on the periphery according to environmental factors to obtain the overall evaluation result of the regional fire, and improves the comprehensiveness and accuracy of regional fire analysis.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
FIG. 1 is a flow chart of an evaluation method of the present invention;
FIG. 2 is a functional block diagram of the evaluation system of the present invention;
FIG. 3 is a schematic diagram of the effect of the fire building of the present invention on the affected building.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the present invention provides a regional fire evaluation system based on big data interconnection, which can obtain an influence range generated when a fire occurs by analyzing conditions of buildings in a region and combining environmental factors, and obtain a comprehensive judgment result of the fire influence, so as to solve the problem that the prior art lacks an effective evaluation of the fire influence in the region.
The evaluation system comprises a regional building database, a building analysis module, a fire area acquisition module, an environment factor analysis module and a comprehensive evaluation module; the regional building database is stored through the cloud platform and is used for data interconnection and acquisition.
The regional building database stores a regional building map and building parameters; building parameters include building height and building flammability value; the building flammability value is configured with a building flammability calculation method, which comprises the following steps: acquiring the occupancy rate and the number of construction years of a building, and calculating the occupancy rate and the number of construction years through a flammability influence calculation formula to obtain a flammability value of the building, wherein the flammability influence calculation formula is configured as Pjy = Yjz × Lrz × 100; wherein Pjy is the building flammability value, yjz is the building year, and Lrz is the survival rate. The occupancy rate of the building has influence on the decoration condition in the building, and is obtained by comparing the number of the occupied households with the total number of the households in the building; if the survival rate is high, the number of people who live is proved to be large, basic articles and corresponding decorations are arranged in each corresponding layer, the basic articles and the corresponding decorations can play a role in assisting the spread of fire, meanwhile, if the number of years of a building is higher, the corresponding articles are more and more, various facilities in the corresponding building are aged and are easier to burn.
The building analysis module is used for analyzing the building data stored in the regional building database and obtaining the fire risk index of each building; the building analysis module is configured with a building analysis strategy comprising: building a three-dimensional model of a regional building according to a building map; the method for constructing the three-dimensional model of the regional building is configured by the three-dimensional model of the regional building, and comprises the following steps: constructing a two-dimensional plane building map according to the building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; each building model comprises a cross section structure and a building height, single building models are built according to the cross section structure and the building height, and all single building models in a region are built to form a three-dimensional model of the region building;
calculating the height of the building and the inflammable value of the building through a single building fire risk calculation formula to obtain a fire risk index of the single building; the fire risk calculation formula of the single building is configured as follows: zdh = Pjy × Hjz; wherein Zdh is the fire risk index of the individual building and Hjz is the building height. The higher the building, the greater the amount of combustion that can be generated, and the greater the impact of a corresponding fire.
The fire area acquisition module is used for acquiring fire information of the fire area; the fire area acquisition module comprises a plurality of fire alarms, each fire alarm comprises a front-end sensor and a rear-end alarm, each front-end sensor can comprise a smoke concentration sensor and a temperature sensor, each rear-end alarm comprises an audible and visual alarm and a wireless signal sending unit, audible and visual alarm is carried out through the audible and visual alarms, and the wireless signal sending unit can output the building where the fire is located and the height of the building; the fire alarm is used for acquiring the position of a fire building and the height of the fire;
the environment acquisition module is used for acquiring environment data of a fire area; the environment acquisition module includes wind speed and direction sensor and humidity transducer, and the environment acquisition module disposes the environment and gathers the strategy, and the environment gathers the strategy and includes: acquiring an environment humidity value once by a humidity sensor every first environment acquisition time; when the fire alarm outputs a fire occurrence signal, the ambient wind speed value and the wind direction are acquired through the wind speed sensor. In the specific implementation process, the most important of the environmental factors to the fire is a humidity factor and a wind speed factor, the wind speed can assist the spread of the fire, the larger the humidity is, the more the spread of the fire can be slowed down, and particularly when the humidity in the past period of time of the fire occurrence is collected and analyzed, whether the area rains or not in a long period of time can be known, and the higher humidity is kept.
The environment factor analysis module is used for analyzing the acquired environment data and obtaining an environment influence index; the environmental factor analysis module is configured with an environmental factor analysis strategy, and the environmental factor analysis strategy comprises the following steps: when the fire alarm outputs a fire occurrence signal, a humidity influence value is obtained by calculating a plurality of environment humidity values acquired in a past first acquisition time period through a humidity influence calculation formula, wherein the humidity influence calculation formula is configured as follows:
(ii) a Wherein Psy is a humidity influence value, and S1 to Sn are respectively acquired in a first past acquisition time periodA plurality of environment humidity values, wherein n is the number of the plurality of environment humidity values acquired in a first time period in the past; for example, the first collecting time period is set to 48 hours, and if the humidity is high within 48 hours, the building is usually in an over-rain state, the building can be humidified, and the fire spread can be delayed.
Calculating the humidity influence value and the wind speed value through an environment influence calculation formula to obtain an environment influence index, wherein the environment influence calculation formula is configured as follows:
(ii) a Wherein Zhy is an environmental influence index, vf is a wind speed value, k1 is a correlation coefficient between humidity influence and wind speed, k1 is a constant, and k1 is greater than zero, specifically, the unit of the wind speed value is m/s, the environmental humidity value is relative humidity, and k1 is set within a range of 10-50.
The comprehensive evaluation module comprises a single influence analysis unit, a comprehensive influence analysis unit and an evaluation unit, wherein the single influence analysis unit is used for analyzing the fire information of the fire area and obtaining the fire analysis result of the fire area; the monomer influence analysis unit is configured with a monomer influence analysis strategy, and the monomer influence analysis strategy comprises the following steps: locking the fire building through the acquired position of the fire building;
calculating the building height of the building with the fire and the height of the building with the fire through a fire height influence calculation formula to obtain a fire height influence index, wherein the fire height influence calculation formula is configured as follows: zqg = Hjz × a1 （H1-Hqh） (ii) a Wherein Zqg is an index of influence of the ignition height, hqh is the height of the ignition, H1 is the turning height of the influence of the ignition, a1 is the number of the influence bottoms of the ignition height, a1 is a constant, and the value range of a1 is between 0 and 1; the fire height influence index and the environmental influence index are multiplied to obtain a single fire risk index, specifically, the value of a1 can be set to be 0.75, H1 is set to be 20m, and when the value is less than 20m, the fire fighting range can be reached, so the height influence increases the difficulty for fire fighting after the fire height is greater than 20m for the reducing action of Zqg, and the influence on Zqg is increased more and more.
The comprehensive influence analysis unit is used for carrying out comprehensive calculation and analysis on the adjacent buildings in the fire area and the environmental influence index to obtain a peripheral influence analysis result; the comprehensive influence analysis unit is configured with a fire model construction strategy, and the fire model construction strategy comprises the following steps: acquiring the height of the fire, and constructing a building model of the height of the fire according to the height of the fire;
the building model of the height at which the fire is started is provided with a building model construction method of the height at which the fire is started, and the building model construction method of the height at which the fire is started comprises the following steps: acquiring a two-dimensional plane building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; subtracting the height of the fire from the height of each building to obtain the updated height of the single fire; building a single building updating model of a building with the single fire-starting updating height larger than zero, wherein the single building updating model comprises a cross section structure and a single fire-starting updating height, and the single building updating model is built according to the cross section structure and the single fire-starting updating height; building the single buildings with the single fire-starting updating height less than or equal to zero are uniformly built according to the zero height to obtain single building updating models;
building up all monomer building updating models within a first influence distance from a fire building in the area to form a building model of the height of the fire;
referring to fig. 3, the comprehensive impact analysis unit is configured with a comprehensive impact analysis policy, and the comprehensive impact analysis policy includes: acquiring a wind direction, setting the wind direction as a spreading influence azimuth, acquiring an influence building of a fire building in the spreading influence azimuth according to a height building model where the fire is located, calculating the closest distance between the fire building and the influence building according to the spreading influence azimuth, and setting the closest distance as an influence distance;
calculating the fire risk index, the influence distance and the environmental influence index of the single building influencing the building through a fire influence calculation formula to obtain a fire influence value, wherein the fire influence calculation formula is configured as follows:
(ii) a Wherein Pyq is the shadow of fireThe sound value is Syx, the influence distance is larger, and the influence strength of the fire building on the periphery is smaller; and adding the fire impact values of all the impact buildings to obtain a peripheral impact index.
The evaluation unit carries out comprehensive evaluation on the basis of the fire analysis result and the peripheral influence analysis result of the fire area to obtain an area fire influence result; the evaluation unit is configured with an evaluation policy, the evaluation policy comprising: and calculating the peripheral influence index and the monomer fire risk index through a comprehensive evaluation calculation formula to obtain a comprehensive evaluation value, wherein the comprehensive evaluation calculation formula is configured as follows: pzh = b1 × Zdt + b2 × zzzb; wherein Pzh is a comprehensive evaluation value, ZDt is a monomer fire risk index, zzb is a peripheral influence index, b1 is a monomer risk ratio coefficient, b2 is a peripheral risk ratio coefficient, b1 and b1 are constants, the value ranges of b1 and b2 are both between 0 and 1, and b1+ b2=1; specifically, b1 is set to 0.7 and b2 is set to 0.3, after all, the building itself is most affected by fire, and only a warning is given to the surrounding effect, so b1 is usually set to be greater than b2 in the duty setting.
Presetting a first evaluation threshold and a second evaluation threshold, wherein the first evaluation threshold is greater than the second evaluation threshold, setting a regional fire evaluation grade according to the first evaluation threshold and the second evaluation threshold, and outputting a regional fire high risk grade when the comprehensive evaluation value is greater than or equal to the first evaluation threshold; when the comprehensive evaluation value is greater than or equal to a second evaluation threshold value and smaller than a first evaluation threshold value, outputting the risk level in the regional fire; when the comprehensive evaluation value is smaller than the second evaluation threshold value, outputting a regional fire low-risk level, and when the specific setting is performed, an evaluation threshold value storage database is arranged in the evaluation unit, the first evaluation threshold value and the second evaluation threshold value are stored in the evaluation threshold value storage database, the specific setting method can be used for adjusting ranges of different fire risk levels by simulating an upper limit value and a lower limit value of a comprehensive evaluation value calculated after different buildings in the whole region are fired, the first evaluation threshold value can be equal to the upper limit value, the second evaluation threshold value is equal to the lower limit value, and the first evaluation threshold value and the second evaluation threshold value are adjusted according to actual conditions in the region, for example, the first evaluation threshold value and the second evaluation threshold value can be adjusted by synthesizing the total pedestrian volume of the whole region, when the total pedestrian volume of the whole region is larger, the first evaluation threshold value and the second evaluation threshold value are appropriately adjusted, and the fire risk level corresponding to the comprehensive evaluation value can be relatively improved.
Example two
Referring to fig. 1, the present invention further provides a regional fire assessment method based on big data interconnection;
specifically, the evaluation method includes the steps of:
s1, analyzing building data stored in a regional building database, and obtaining a fire risk index of each building; the regional building database stores a regional building map and building parameters; building parameters include building height and building flammability value; the building flammability value is configured with a building flammability calculation method, which comprises the following steps: acquiring the occupancy rate and the number of construction years of a building, and calculating the occupancy rate and the number of construction years through a flammability influence calculation formula to obtain a flammability value of the building, wherein the flammability influence calculation formula is configured as follows: pjy = Yjz × Lrz × 100; wherein Pjy is the building flammability value, yjz is the building years, and Lrz is the survival rate; the step S1 further includes the steps of:
s11, building a regional building three-dimensional model according to a building map; the method for constructing the three-dimensional model of the regional building is configured by the three-dimensional model of the regional building, and comprises the following steps: constructing a two-dimensional plane building map according to the building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; each building model comprises a cross section structure and a building height, single building models are built according to the cross section structure and the building height, and all single building models in a region are built to form a three-dimensional model of the region building;
s12, calculating the height of the building and the inflammable value of the building through a single building fire risk calculation formula to obtain a fire risk index of the single building; the fire risk calculation formula of the single building is configured as follows: zdh = Pjy × Hjz; wherein Zdh is the fire risk index of the individual building and Hjz is the building height.
S2, collecting environmental data of a fire area, analyzing the collected environmental data, and obtaining an environmental influence index; step S2 further includes:
step S211, acquiring an environment humidity value once every first environment acquisition time interval through a humidity sensor;
step S212, when the fire alarm outputs a fire occurrence signal, acquiring an ambient wind speed value and a wind direction through a wind speed sensor; step S2 further includes:
step S221, when the fire alarm outputs a fire occurrence signal, calculating a plurality of environment humidity values acquired in a past first acquisition time period through a humidity influence calculation formula to obtain a humidity influence value, wherein the humidity influence calculation formula is configured as follows:
(ii) a Wherein Psy is a humidity influence value, S1 to Sn are a plurality of environment humidity values acquired in a first past acquisition time period respectively, and n is the number of the plurality of environment humidity values acquired in the first past acquisition time period;
step S222, calculating the humidity influence value and the wind speed value by an environmental influence calculation formula to obtain an environmental influence index, where the environmental influence calculation formula is configured as follows:
(ii) a Wherein Zhy is an environmental influence index, vf is a wind speed value, k1 is a correlation coefficient between humidity influence and wind speed, k1 is a constant, and k1 is greater than zero.
S3, acquiring the position of a fire building and the height of the fire through a fire alarm, analyzing fire information of a fire area, and acquiring a fire analysis result of the fire area; step S3 further includes:
step S31, locking the fire building according to the acquired position of the fire building;
step S32, building height and starting of the building with fireThe height of the fire is calculated through a fire height influence calculation formula to obtain a fire height influence index, and the fire height influence calculation formula is configured as follows: zqg = Hjz × a1 （H1-Hqh） (ii) a Wherein Zqg is an ignition height influence index, hqh is the height of an ignition, H1 is an ignition influence turning height, a1 is an ignition height influence base number, a1 is a constant, and the value range of a1 is between 0 and 1;
and S33, multiplying the ignition height influence index and the environment influence index to obtain a monomer ignition risk index.
S4, comprehensively calculating and analyzing nearby buildings in the fire area and the environmental impact index to obtain a peripheral impact analysis result; step S4 further includes:
step S411, acquiring the height of the fire, and constructing a building model of the height of the fire according to the height of the fire;
step S412, the building model of the height where the fire is located is configured with a building model building method of the height where the fire is located, and the building model building method of the height where the fire is located comprises the following steps: acquiring a two-dimensional plane building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; subtracting the height of the fire from the height of each building to obtain the updated height of the single fire; building a single building updating model of a building with the single fire-starting updating height larger than zero, wherein the single building updating model comprises a cross section structure and a single fire-starting updating height, and the single building updating model is built according to the cross section structure and the single fire-starting updating height; building the single buildings with the single fire-starting updating height less than or equal to zero are uniformly built according to the zero height to obtain single building updating models;
and step S413, building all single building updating models within the first influence distance from the fire building in the area to form a fire height building model. Step S4 further includes:
step S421, acquiring a wind direction, setting the wind direction as a spreading influence position, acquiring an influence building of the fire building in the spreading influence position according to a building model of the height of the fire, calculating the nearest distance between the fire building and the influence building according to the spreading influence position, and setting the nearest distance as an influence distance;
step S422, calculating the fire risk index, the influence distance and the environmental influence index of the single building influencing the building through a fire influence calculation formula to obtain a fire influence value, wherein the fire influence calculation formula is configured as follows:
(ii) a Wherein Pyq is a fire influence value, and Syx is an influence distance;
and step S423, adding the fire influence values of all the influencing buildings to obtain a peripheral influence index.
S5, comprehensively evaluating based on a fire analysis result of the fire area and a peripheral influence analysis result to obtain an area fire influence result; step S5 further includes:
step S51, calculating the peripheral influence index and the monomer fire risk index through a comprehensive evaluation calculation formula to obtain a comprehensive evaluation value, wherein the comprehensive evaluation calculation formula is configured as follows: pzh = b1 × Zdt + b2 × zzzb; wherein Pzh is a comprehensive evaluation value, ZDt is a monomer fire risk index, zzb is a peripheral influence index, b1 is a monomer risk ratio coefficient, b2 is a peripheral risk ratio coefficient, b1 and b1 are constants, the value ranges of b1 and b2 are both between 0 and 1, and b1+ b2=1;
step S52, presetting a first evaluation threshold and a second evaluation threshold, wherein the first evaluation threshold is larger than the second evaluation threshold, setting a regional fire evaluation grade according to the first evaluation threshold and the second evaluation threshold, and outputting a regional fire high risk grade when the comprehensive evaluation value is larger than or equal to the first evaluation threshold; when the comprehensive evaluation value is greater than or equal to a second evaluation threshold value and smaller than a first evaluation threshold value, outputting the risk level in the regional fire; and outputting the low risk level of the fire in the area when the comprehensive evaluation value is smaller than the second evaluation threshold value.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the units into only one type of logical function may be implemented in other ways, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
Claims (2)
1. A regional fire assessment method based on big data interconnection is characterized by comprising the following steps:
analyzing the building data stored in the regional building database, and obtaining the fire risk index of each building; the regional building database stores a regional building map and building parameters;
collecting environmental data of a fire area, analyzing the collected environmental data, and obtaining an environmental impact index;
acquiring the position of a fire building and the height of the fire through a fire alarm, analyzing fire information of a fire area, and obtaining a fire analysis result of the fire area;
comprehensively calculating and analyzing the nearby buildings in the fire area and the environmental impact index to obtain a peripheral impact analysis result;
comprehensively evaluating based on the fire analysis result of the fire area and the peripheral influence analysis result to obtain an area fire influence result;
the building parameters include a building height and a building flammability value; the building flammability value is configured with a building flammability calculation method, the building flammability calculation method comprising: the method comprises the steps of obtaining the occupancy rate and the number of years of a building, and calculating the occupancy rate and the number of years of the building through a flammability influence calculation formula to obtain a flammability value of the building, wherein the flammability influence calculation formula is configured as follows: pjy = Yjz × Lrz × 100; wherein Pjy is the building flammability value, yjz is the building years, and Lrz is the survival rate;
analyzing the building data stored in the regional building database and obtaining a fire risk index for each building includes: building a three-dimensional model of a regional building according to a building map; the method for constructing the three-dimensional model of the regional building configured with the three-dimensional model of the regional building comprises the following steps: constructing a two-dimensional plane building map according to the building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; each building model comprises a cross section structure and a building height, single building models are built according to the cross section structure and the building height, and all single building models in a region are built to form a three-dimensional model of the region building;
calculating the height of the building and the inflammable value of the building through a single building fire risk calculation formula to obtain a fire risk index of the single building;
the fire risk calculation formula of the single building is configured as follows: zdh = Pjy × Hjz; wherein Zdh is the fire risk index of the single building, hjz is the building height;
collecting environmental data of the fire area includes: acquiring an environment humidity value once by a humidity sensor every first environment acquisition time;
when the fire alarm outputs a fire occurrence signal, acquiring an ambient wind speed value and a wind direction through a wind speed sensor;
analyzing the collected environmental data and obtaining an environmental impact index comprises: when the fire alarm outputs a fire occurrence signal, calculating a plurality of environment humidity values acquired in a first past acquisition time period through a humidity influence calculation formula to obtain a humidity influence value, wherein the humidity influence calculation formula is configured as follows:
(ii) a Wherein Psy is a humidity influence value, S1 to Sn are a plurality of environment humidity values acquired in a first past acquisition time period respectively, and n is the number of the plurality of environment humidity values acquired in the first past acquisition time period;
calculating the humidity influence value and the wind speed value through an environment influence calculation formula to obtain an environment influence index, wherein the environment influence calculation formula is configured as follows:
(ii) a Wherein Zhy is an environmental influence index, vf is a wind speed value, k1 is a humidity influence and wind speed correlation coefficient, k1 is a constant, and k1 is greater than zero;
analyzing the fire information of the fire area, and obtaining a fire analysis result of the fire area comprises: locking the fire building through the acquired position of the fire building;
calculating the building height of the building with the fire and the height of the building with the fire through a fire height influence calculation formula to obtain a fire height influence index, wherein the fire height influence calculation formula is configured as follows:
Zqg=Hjz×a1 （H1-Hqh） (ii) a Wherein Zqg is an ignition height influence index, hqh is the height of an ignition, H1 is an ignition influence turning height, a1 is an ignition height influence base number, a1 is a constant, and the value range of a1 is between 0 and 1;
multiplying the ignition height influence index and the environment influence index to obtain a monomer ignition risk index;
the method comprises the following steps of carrying out comprehensive calculation and analysis on nearby buildings in a fire area and an environmental impact index, and obtaining a peripheral impact analysis result, wherein the peripheral impact analysis result comprises the following steps: acquiring the height of the fire, and constructing a building model of the height of the fire according to the height of the fire;
the building model of the height at which the fire is located is provided with a building model construction method of the height at which the fire is located, and the building model construction method of the height at which the fire is located comprises the following steps: acquiring a two-dimensional plane building map, and marking the corresponding position of the cross section structure of a single building on the two-dimensional plane building map; subtracting the height of the fire from the height of each building to obtain the updated height of the single fire; building a single building updating model of a building with the single fire-starting updating height larger than zero, wherein the single building updating model comprises a cross section structure and a single fire-starting updating height, and the single building updating model is built according to the cross section structure and the single fire-starting updating height; building the single building with the single fire-starting updating height less than or equal to zero is unified to establish a single building updating model according to the zero height;
building up all monomer building updating models within a first influence distance from a fire building in the area to form a building model of the height of the fire;
the comprehensive calculation and analysis of the nearby buildings in the fire area and the environmental impact index are carried out, and the obtained peripheral impact analysis result further comprises the following steps: acquiring a wind direction, setting the wind direction as a spreading influence azimuth, acquiring an influence building of a fire building in the spreading influence azimuth according to a building model of the height of the fire, calculating the nearest distance between the fire building and the influence building according to the spreading influence azimuth, and setting the nearest distance as an influence distance;
calculating the fire risk index, the influence distance and the environmental influence index of the single building influencing the building through a fire influence calculation formula to obtain a fire influence value, wherein the fire influence calculation formula is configured as follows:
(ii) a Wherein, pyq is the influence value of fire, and Syx is the influence distance;
and adding the fire impact values of all the impact buildings to obtain a peripheral impact index.
2. The regional fire evaluation method based on big data interconnection of claim 1, wherein the comprehensive evaluation is performed based on the fire analysis results and the surrounding influence analysis results of the fire-initiating region, and the obtaining of the regional fire influence results comprises: and calculating the peripheral influence index and the monomer fire risk index through a comprehensive evaluation calculation formula to obtain a comprehensive evaluation value, wherein the comprehensive evaluation calculation formula is configured as follows: pzh = b1 × Zdt + b2 × zzzb; wherein Pzh is a comprehensive evaluation value, ZDt is a monomer fire risk index, zzb is a peripheral influence index, b1 is a monomer risk ratio coefficient, b2 is a peripheral risk ratio coefficient, b1 and b1 are constants, the value ranges of b1 and b2 are both between 0 and 1, and b1+ b2=1;
presetting a first evaluation threshold and a second evaluation threshold, wherein the first evaluation threshold is greater than the second evaluation threshold, setting a regional fire evaluation grade according to the first evaluation threshold and the second evaluation threshold, and outputting a regional fire high risk grade when the comprehensive evaluation value is greater than or equal to the first evaluation threshold; when the comprehensive evaluation value is greater than or equal to a second evaluation threshold value and smaller than a first evaluation threshold value, outputting the risk level in the regional fire; and outputting the low risk level of the fire in the area when the comprehensive evaluation value is smaller than the second evaluation threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211612068.6A CN115600827B (en) | 2022-12-15 | 2022-12-15 | Regional fire assessment method based on big data interconnection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211612068.6A CN115600827B (en) | 2022-12-15 | 2022-12-15 | Regional fire assessment method based on big data interconnection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115600827A CN115600827A (en) | 2023-01-13 |
| CN115600827B true CN115600827B (en) | 2023-03-14 |
Family
ID=84854336
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211612068.6A Active CN115600827B (en) | 2022-12-15 | 2022-12-15 | Regional fire assessment method based on big data interconnection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115600827B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017191482A (en) * | 2016-04-14 | 2017-10-19 | 株式会社パスコ | Risk evaluation device in fire occurrence and risk evaluation program in fire occurrence |
| CN109543254A (en) * | 2018-11-07 | 2019-03-29 | 北京科技大学 | A kind of groups of building fire three-dimensional sprawling analogy method |
| CN111178732A (en) * | 2019-12-24 | 2020-05-19 | 武汉理工光科股份有限公司 | Regional dynamic fire risk assessment method based on big data enabling condition |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001041628A2 (en) * | 1999-12-06 | 2001-06-14 | Science Applications International Corporation | Rapid threat response for minimizing human casualties within a facility |
| CN115392708A (en) * | 2022-08-25 | 2022-11-25 | 爱瑞克(大连)安全技术集团有限公司 | Fire risk assessment and early warning method and system for building fire protection |
-
2022
- 2022-12-15 CN CN202211612068.6A patent/CN115600827B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017191482A (en) * | 2016-04-14 | 2017-10-19 | 株式会社パスコ | Risk evaluation device in fire occurrence and risk evaluation program in fire occurrence |
| CN109543254A (en) * | 2018-11-07 | 2019-03-29 | 北京科技大学 | A kind of groups of building fire three-dimensional sprawling analogy method |
| CN111178732A (en) * | 2019-12-24 | 2020-05-19 | 武汉理工光科股份有限公司 | Regional dynamic fire risk assessment method based on big data enabling condition |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115600827A (en) | 2023-01-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mell et al. | The wildland–urban interface fire problem–current approaches and research needs | |
| Podur et al. | Spatial patterns of lightning-caused forest fires in Ontario, 1976–1998 | |
| Li et al. | Flood loss analysis and quantitative risk assessment in China | |
| Lampin-Maillet et al. | Land cover analysis in wildland–urban interfaces according to wildfire risk: A case study in the South of France | |
| Chen et al. | Research on the characteristics of urban rainstorm pattern in the humid area of Southern China: A case study of Guangzhou City | |
| CN109447448A (en) | A kind of method, client, server and the system of fire Safety Assessment management | |
| CN111626599A (en) | Meteorological disaster risk studying and judging method and system | |
| CN112950880A (en) | Fire early warning method and system based on big data | |
| CN113849998B (en) | BIM-based tunnel fire early warning processing method and system | |
| Cencerrado et al. | Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time | |
| Boer et al. | Spatial scale invariance of southern Australian forest fires mirrors the scaling behaviour of fire-driving weather events | |
| CN115600827B (en) | Regional fire assessment method based on big data interconnection | |
| CN106983981A (en) | Extinguishing method and device | |
| CN114936502A (en) | Forest fire spreading situation boundary analysis method, system, terminal and medium | |
| CN113111518A (en) | Fire simulation processing method based on Internet of things | |
| CN117114406A (en) | Emergency event intelligent early warning method and system based on equipment data aggregation | |
| Asori et al. | Wildfire hazard and Risk modelling in the Northern regions of Ghana using GIS-based Multi-Criteria Decision Making Analysis | |
| Tohidi | Experimental and numerical modeling of wildfire spread via fire spotting | |
| CN114140966B (en) | Forest fire prevention monitoring system and method based on image data | |
| CN105046081B (en) | The sampling check method and device in fire-fighting place | |
| van Ginkel et al. | A stepwise approach for identifying climate change induced socio-economic tipping points | |
| CN113295589B (en) | Raise dust monitoring method, device and system | |
| CN113139272A (en) | Forest fire spreading prediction method, device, equipment and storage medium | |
| CN110852550B (en) | Accident prevention method and device based on intelligent identification of coal mine hidden danger and storage medium | |
| CN103886386A (en) | Method for predicting manual fire day occurrence probability based on space grid |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |