CN112330911A - Fire disaster intelligent monitoring and early warning management system based on big data - Google Patents
Fire disaster intelligent monitoring and early warning management system based on big data Download PDFInfo
- Publication number
- CN112330911A CN112330911A CN202011218924.0A CN202011218924A CN112330911A CN 112330911 A CN112330911 A CN 112330911A CN 202011218924 A CN202011218924 A CN 202011218924A CN 112330911 A CN112330911 A CN 112330911A
- Authority
- CN
- China
- Prior art keywords
- household
- subregion
- residential building
- module
- line temperature
- 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.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
Landscapes
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a fire disaster intelligent monitoring and early warning management system based on big data, which comprises a region division module, a detection point arrangement module, a line temperature detection module, a line temperature analysis module, an environmental parameter detection module, an environmental parameter analysis module, an analysis server, an early warning reminding module, a display module and a storage database, wherein the region division module is used for dividing a fire disaster area; the invention arranges detection points for each socket circuit in each household subarea in each residential building, detects the circuit temperature of each socket in each household subarea, analyzes whether each socket circuit in each household subarea is safe or not, and inspects and maintains the sockets with unsafe circuits; and simultaneously detecting the numerical values of the air environment parameters in the sub-areas of the residents in each residential building, calculating the fire safety influence coefficient of the sub-areas of the residents in each residential building, judging the fire safety level in the sub-areas of the residents in each residential building, and performing early warning and display on the corresponding level, thereby ensuring the life and property safety of the residents.
Description
Technical Field
The invention relates to the field of fire protection monitoring and early warning management, in particular to a fire protection disaster intelligent monitoring and early warning management system based on big data.
Background
In recent years, with the rapid development of social economy driving the rapid development of building industry, the number of residential community buildings is increasing, and the number of the residential community buildings caused by the fire is more and more, and the fire situation is more and more severe. How to strengthen the fire-fighting safety work in the community residence and protect the life and property safety of residents is a brand new topic faced by the current society.
At present, the existing indoor fire fighting monitoring and management system generally has more or less defects. The existing indoor fire monitoring and management system cannot effectively detect indoor electrical safety perception data, can not realize full-automatic detection and processing of the data, is low in intelligent degree, and therefore can not process indoor fire caused by immediate processing and cause economic property loss of residents.
Disclosure of Invention
The invention aims to provide a fire disaster intelligent monitoring and early warning management system based on big data, which lays detection points on lines of all sockets in each household subregion in each residential building through a detection point laying module, detects the line temperature of each socket in each household subregion in each residential building, analyzes whether the lines of all sockets in each household subregion are safe, and inspects and maintains the sockets with unsafe lines; and simultaneously detecting the numerical values of the air environment parameters in each household subregion in each residential building, calculating the fire safety influence coefficient of each household subregion in each residential building, judging the fire safety level in each household subregion in each residential building, and performing early warning and display of the corresponding level, thereby solving the problems existing in the background technology.
The purpose of the invention can be realized by the following technical scheme:
a fire disaster intelligent monitoring and early warning management system based on big data comprises a region dividing module, a detection point arrangement module, a line temperature detection module, a line temperature analysis module, an environmental parameter detection module, an environmental parameter analysis module, an analysis server, an early warning reminding module, a display module and a storage database;
the region division module is used for entering each residential building region in the communityLine division, each residential building in the community is sequentially numbered according to the sequence, the numbering is respectively 1,2, ai(ai1,ai2,...,aij,...,aim)，aijThe number of the jth resident sub-area in the ith residential building area in the community is represented, and the number set of each resident sub-area in each residential building in the community is sent to the storage database;
the detection point arrangement module is used for arranging detection points on lines of all sockets in each household subregion in each residential building, arranging a plurality of detection points on the lines of all sockets in each household subregion in each residential building in an evenly distributed mode, enabling each detection point to correspond to each socket one by one, and sending the detection points of all sockets in each household subregion in each residential building to the line temperature detection module;
the line temperature detection module is connected with the detection point arrangement module and used for receiving the detection points of all sockets in all household subareas in all residential buildings sent by the detection point arrangement module, detecting the line temperature of all sockets in all household subareas in all residential buildings in real time, counting the line temperature of all sockets in all household subareas in all residential buildings, and forming a line temperature set W of all sockets in all household subareas in all residential buildingsijT(wijt1,wijt2,...,wijtr,...,wijtl)，wijtrThe line temperature of an r-th socket in a j-th household subarea in the ith household building area is represented, and the line temperature set of each socket in each household subarea in each household building is sent to a line temperature analysis module;
the line temperature analysis module is connected with the line temperature detection module and used for receiving the signals sent by the line temperature detection module in each residential buildingCollecting the line temperature of each socket in each household subregion, extracting the safe line temperature of the indoor standard socket stored in the storage database, comparing the received line temperature of each socket in each household subregion in each residential building with the safe line temperature of the indoor standard socket to obtain a line temperature comparison difference value set delta W of each socket in each household subregion in each residential buildingijT(Δwijt1,Δwijt2,...,Δwijtr,...,Δwijtl)，ΔwijtrExpressed as the comparison difference between the line temperature of the r-th socket in the jth household subregion in the ith household region and the safety line temperature, and the line temperature comparison difference set of each socket in each household subregion in each household is sent to the analysis server;
the analysis server is connected with the line temperature analysis module and is used for receiving a line temperature comparison difference set of each socket in each household subregion in each residential building, which is sent by the line temperature analysis module, analyzing the received line temperature contrast difference of each socket in each household subregion in each residential building, if the line temperature contrast difference of a certain socket in a certain household subregion in a certain residential building is less than or equal to zero, indicating the line safety of the socket in the household subregion, if the line temperature contrast difference of a certain socket in a certain household subregion in a certain residential building is greater than zero, indicating that the line of the socket in the household subregion is unsafe, counting the socket numbers in each household subregion in each household building with unsafe lines, and sending the socket numbers in each household subregion in each household building with unsafe lines to an early warning reminding module;
the environment parameter detection module is used for detecting air environment parameters in each household subregion in each residential building, detecting the temperature, the air flow, the carbon monoxide concentration, the hydrogen concentration and the methane concentration in the air environment parameters in each household subregion, counting the values of each air environment parameter in each household subregion in each residential building, and forming a value set P of each air environment parameter in each household subregion in each residential buildingik(pi1k,pi2k,...,pijk,...,pimk)，pijk is the value of the kth air environment parameter in the jth resident sub-area in the ith residential building area, and k is k1,k2,k3,k4,k5，k1、k2、k3、k4、k5Respectively representing the temperature, the air flow, the carbon monoxide, the hydrogen and the methane in the air environment parameters, and sending the numerical value set of the air environment parameters in each household subarea in each residential building to an environment parameter analysis module;
the environment parameter analysis module is connected with the environment parameter detection module and used for receiving the value sets of the air environment parameters in the household subareas of the residential buildings sent by the environment parameter detection module, extracting and storing the standard temperature, the standard air flow, the standard carbon monoxide concentration, the standard hydrogen concentration and the standard methane concentration in the indoor air environment parameters stored in the database, comparing the received value sets of the air environment parameters in the household subareas of the residential buildings with the corresponding standard value sets of the air environment parameters, and obtaining the value contrast difference value set delta P of the air environment parameter values in the household subareas of the residential buildingsik(Δpi1k,Δpi2k,...,Δpijk,...,Δpimk)，Δpijk is expressed as a comparison difference value between the kth air environment parameter value in the jth household subregion in the ith household region and the corresponding standard value of the air environment parameter, and the comparison difference value set of each air environment parameter value in each household subregion in each household is sent to the analysis server;
the analysis server is connected with the environmental parameter analysis module and used for receiving the value contrast difference value set of each air environmental parameter in each household subregion in each residential building sent by the environmental parameter analysis module, extracting the correction coefficient of each air environmental parameter and the temperature influence coefficient of a socket circuit stored in the storage database, calculating the fire safety influence coefficient of each household subregion in each residential building, extracting the standard fire safety influence coefficient corresponding to each fire safety level stored in the storage database, judging the fire safety level in each household subregion in each residential building, and sending the fire safety level in each household subregion in each residential building to the early warning reminding module and the display module respectively;
the early warning reminding module is connected with the analysis server and used for receiving the serial numbers of all sockets in all household subareas in all residential buildings with unsafe circuits sent by the analysis server, and carrying out early warning reminding, and each residential user carries out troubleshooting and maintenance on the corresponding socket according to the reminding; meanwhile, receiving the fire safety levels in each household subarea in each residential building sent by the analysis server, and performing corresponding early warning according to different fire safety levels, wherein relevant units perform corresponding processing according to the early warning;
the display module is connected with the analysis server and used for receiving and displaying the fire safety level in each household subarea in each residential building sent by the analysis server;
the storage database is respectively connected with the region division module, the line temperature analysis module, the environmental parameter analysis module and the analysis server and is used for receiving the number set of each household sub-region in each residential building in the community, which is sent by the region division module, storing the safe line temperature of a standard socket used in a room, storing the standard temperature, the standard air flow, the standard carbon monoxide concentration, the standard hydrogen concentration and the standard methane concentration in the room air environmental parameters, and simultaneously storing the correction coefficients of the temperature, the air flow, the carbon monoxide, the hydrogen and the methane in the air environmental parameters, which are respectively recorded as
And storing the temperature influence coefficient mu of the socket line;
furthermore, the line temperature detection module comprises temperature sensors, wherein the temperature sensors are respectively installed at detection points of all sockets in each household subregion in each residential building, and the temperature sensors are in one-to-one correspondence with the detection points of all sockets and used for detecting the line temperature of all sockets in each household subregion in each residential building;
further, the environment parameter detection module comprises a temperature detection unit, an air flow detection unit, a carbon monoxide concentration detection unit, a hydrogen concentration detection unit and a methane concentration detection unit;
furthermore, the temperature detection unit is a temperature sensor and is used for detecting the temperature of each household subregion in each residential building in real time; the air flow detecting unit is an air flow meter and is used for detecting the air flow of each household subregion in each residential building in real time; the carbon monoxide concentration detection unit is a carbon monoxide sensor and is used for detecting the carbon monoxide concentration of each household subregion in each residential building in real time; the hydrogen concentration detection unit is a hydrogen sensor and is used for detecting the hydrogen concentration of each household subregion in each residential building in real time; the methane concentration detection unit is a methane sensor and is used for detecting the methane concentration of each household subregion in each residential building in real time;
furthermore, the fire safety influence coefficient calculation formula of each household subregion in each residential building is as follows
ξijExpressed as the fire safety impact coefficient for the jth sub-area of residents in the ith residential building, e is expressed as a natural number equal to 2.718, mu is expressed as the temperature impact coefficient of the outlet line, Δ wijtrExpressed as the difference between the line temperature of the r-th socket in the jth household sub-area in the ith residential building area and the safe line temperature, wSign boardt represents the safe line temperature for indoor use of a standard outlet,
respectively expressed as correction factors, Δ p, for temperature, air flow, carbon monoxide, hydrogen and methane in the air environment parameterijk is the comparison difference value between the k-th air environment parameter value in the jth household subarea in the ith residential building area and the corresponding standard value of the air environment parameter, and k is k1,k2,k3,k4,k5，pSign boardk is expressed as a standard value of the kth indoor air environment parameter;
further onThe fire safety level judgment rule is defined as follows: when the fire safety influence coefficient is 0 & lt xi & lt theta1The fire safety level is three, and when the fire safety influence coefficient is theta1＜ξ＜θ2The fire safety level is two levels, and the fire safety influence coefficient is theta2＜ξ＜θ3The fire safety level is first grade, and the influence coefficient of the fire safety is Zeta ≥ theta3The fire safety level is zero, where θ1,θ2,θ3For storing preset values of the database.
Has the advantages that:
(1) according to the fire disaster intelligent monitoring and early warning management system based on the big data, the detection point arrangement module is used for arranging the detection points on the lines of all sockets in all household subareas in all household buildings, and detecting the line temperatures of all sockets in all household subareas in all household buildings, so that full-automatic detection and processing of data are realized, the intelligent degree is improved, whether the lines of all sockets in all household subareas are safe or not is analyzed, the unsafe-line sockets are checked and maintained, the problem of indoor fire is avoided, the economic and property losses of residents are guaranteed, meanwhile, all air environment parameter values in all household subareas in all household buildings are detected, and a reliable reference basis is provided for calculating the fire safety influence coefficient of all household subareas in all household buildings at the later stage.
(2) According to the invention, the fire safety influence coefficient of each household subregion in each residential building is calculated through the analysis server, the fire safety level in each household subregion in each residential building is judged, corresponding early warning is carried out according to different fire safety levels, relevant units carry out corresponding treatment according to the early warning, so that fire fighters can be ensured to rescue in time, and the problem of tragic training of a small fire to cause a big disaster is avoided, thus the safety performance of the residential community is improved, the life and property safety of residential users is ensured, meanwhile, the display module is used for displaying, the fire safety level in each household subregion in each residential building can be visually displayed, and the fire safety of the residential community is conveniently improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the present invention.
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.
Referring to fig. 1, an intelligent monitoring and early warning management system for fire disaster based on big data comprises a region division module, a detection point arrangement module, a line temperature detection module, a line temperature analysis module, an environmental parameter detection module, an environmental parameter analysis module, an analysis server, an early warning reminding module, a display module and a storage database;
the region dividing module is used for dividing each residential building region in the community, sequentially numbering each residential building in the community according to a sequence, wherein the numbering is 1,2, ai(ai1,ai2,...,aij,...,aim)，aijExpressed as the number of the jth resident sub-area in the ith residential building area in the community, and the number of each resident sub-area in each residential building in the community is collectedAnd sending the contract to a storage database.
The detection point arrangement module is used for arranging detection points on lines of all sockets in each household subregion in each residential building, arranging a plurality of detection points on the lines of all sockets in each household subregion in each residential building in an evenly distributed mode, enabling each detection point to correspond to each socket one by one, and sending the detection points of all sockets in each household subregion in each residential building to the line temperature detection module.
The line temperature detection module is connected with the detection point arrangement module and comprises temperature sensors, wherein the temperature sensors are respectively arranged at the detection points of all sockets in each household subregion in each residential building, the temperature sensors are in one-to-one correspondence with the detection points of all sockets and are used for receiving the detection points of all sockets in each household subregion in each residential building sent by the detection point arrangement module and detecting the line temperature of all sockets in each household subregion in each residential building in real time, so that the full-automatic detection and processing of data are realized, the intelligent degree is improved, the line temperature of all sockets in each household subregion in each residential building is counted, and a line temperature set W of all sockets in each household subregion in each residential building is formedijT(wijt1,wijt2,...,wijtr,...,wijtl)，wijtrThe line temperature of an r-th socket in a j-th household subarea in the ith household building area is represented, and the line temperature set of each socket in each household subarea in each household building is sent to a line temperature analysis module;
the line temperature analysis module is connected with the line temperature detection module and used for receiving the line temperature set of each socket in each household subregion in each residential building sent by the line temperature detection module, extracting the safe line temperature of the indoor standard socket in the storage database, comparing the received line temperature of each socket in each household subregion in each residential building with the safe line temperature of the indoor standard socket, and obtaining the line temperature comparison difference set delta W of each socket in each household subregion in each residential buildingijT(Δwijt1,Δwijt2,...,Δwijtr,...,Δwijtl)，ΔwijtrAnd expressed as the comparison difference value between the line temperature and the safety line temperature of the r-th socket in the jth household subregion in the ith household region, and the line temperature comparison difference value set of each socket in each household subregion in each household is sent to the analysis server.
The analysis server is connected with the line temperature analysis module and is used for receiving a line temperature comparison difference set of each socket in each household subregion in each residential building, which is sent by the line temperature analysis module, the received line temperature contrast difference of each socket in each household subregion in each residential building is analyzed, if the line temperature contrast difference of each socket in each household subregion in a certain residential building is smaller than or equal to zero, the line safety of the socket in the household subregion is indicated, if the line temperature contrast difference of each socket in each household subregion in a certain residential building is larger than zero, the line safety of the socket in the household subregion is indicated, the line safety of the socket in the household subregion is calculated, the socket numbers in each household subregion in each household building with unsafe line are counted, and the socket numbers in each household subregion in each household building with unsafe line are sent to the early warning reminding module.
The environment parameter detection module is used for detecting air environment parameters in each household subregion in each residential building, detecting the temperature, the air flow, the carbon monoxide concentration, the hydrogen concentration and the methane concentration in the air environment parameters in each household subregion, counting the values of each air environment parameter in each household subregion in each residential building, and forming a value set P of each air environment parameter in each household subregion in each residential buildingik(pi1k,pi2k,...,pijk,...,pimk)，pijk is the value of the kth air environment parameter in the jth resident sub-area in the ith residential building area, and k is k1,k2,k3,k4,k5，k1、k2、k3、k4、k5Respectively expressed as temperature and air flow in air environment parametersCarbon monoxide, hydrogen and methane, and sending the air environment parameter value sets in each household subarea in each residential building to an environment parameter analysis module;
the environment parameter detection module comprises a temperature detection unit, an air flow detection unit, a carbon monoxide concentration detection unit, a hydrogen concentration detection unit and a methane concentration detection unit, wherein the temperature detection unit is a temperature sensor and is used for detecting the temperature of each household subregion in each residential building in real time; the air flow detecting unit is an air flow meter and is used for detecting the air flow of each household subregion in each residential building in real time; the carbon monoxide concentration detection unit is a carbon monoxide sensor and is used for detecting the carbon monoxide concentration of each household subregion in each residential building in real time; the hydrogen concentration detection unit is a hydrogen sensor and is used for detecting the hydrogen concentration of each household subregion in each residential building in real time; the methane concentration detection unit is a methane sensor and is used for detecting the methane concentration of each household subregion in each residential building in real time.
The environment parameter analysis module is connected with the environment parameter detection module and used for receiving the value sets of the air environment parameters in the household subareas of the residential buildings sent by the environment parameter detection module, extracting and storing the standard temperature, the standard air flow, the standard carbon monoxide concentration, the standard hydrogen concentration and the standard methane concentration in the indoor air environment parameters stored in the database, comparing the received value sets of the air environment parameters in the household subareas of the residential buildings with the corresponding standard value sets of the air environment parameters, and obtaining the value contrast difference value set delta P of the air environment parameter values in the household subareas of the residential buildingsik(Δpi1k,Δpi2k,...,Δpijk,...,Δpimk)，Δpijk is expressed as the comparison difference value of the kth air environment parameter value in the jth household subregion in the ith household region and the standard value of the corresponding air environment parameter, a reliable reference basis is provided for later-stage calculation of the fire safety influence coefficient of each household subregion in each household building, and the comparison difference value set of each air environment parameter value in each household subregion in each household building is sent to the branch buildingAnd (5) analyzing the server.
The analysis server is connected with the environment parameter analysis module and used for receiving the value contrast difference value set of each air environment parameter in each household subarea in each residential building sent by the environment parameter analysis module, extracting the correction coefficient of each air environment parameter and the temperature influence coefficient of the socket line stored in the storage database, and calculating the fire safety influence coefficient of each household subarea in each residential building, wherein the fire safety influence coefficient calculation formula of each household subarea in each residential building is
ξijExpressed as the fire safety impact coefficient for the jth sub-area of residents in the ith residential building, e is expressed as a natural number equal to 2.718, mu is expressed as the temperature impact coefficient of the outlet line, Δ wijtrExpressed as the difference between the line temperature of the r-th socket in the jth household sub-area in the ith residential building area and the safe line temperature, wSign boardt represents the safe line temperature for indoor use of a standard outlet,
respectively expressed as correction factors, Δ p, for temperature, air flow, carbon monoxide, hydrogen and methane in the air environment parameterijk is the comparison difference value between the k-th air environment parameter value in the jth household subarea in the ith residential building area and the corresponding standard value of the air environment parameter, and k is k1,k2,k3,k4,k5，pSign boardk is expressed as a standard numerical value of an indoor kth air environment parameter, and meanwhile, a standard fire safety influence coefficient corresponding to each fire safety level stored in a storage database is extracted, the fire safety level in each household subregion in each residential building is judged, and the fire safety level in each household subregion in each residential building is respectively sent to the early warning reminding module and the display module.
The fire safety level decision rule is defined as follows: when the fire safety influence coefficient is 0 & lt xi & lt theta1The fire safety level is threeStage, when the fire safety impact coefficient is in theta1＜ξ＜θ2The fire safety level is two levels, and the fire safety influence coefficient is theta2＜ξ＜θ3The fire safety level is first grade, and the influence coefficient of the fire safety is Zeta ≥ theta3The fire safety level is zero, where θ1，θ2,θ3For storing preset values of the database.
The early warning reminding module is connected with the analysis server and used for receiving the serial numbers of all sockets in all household subareas in all residential buildings with unsafe circuits sent by the analysis server and carrying out early warning reminding, and all residential users carry out investigation and maintenance on the corresponding sockets according to the reminding, so that the problem of fire in a room is avoided, and the economic and property loss of the residents is guaranteed; meanwhile, the fire safety levels in the sub-areas of the residents in each residential building sent by the analysis server are received, corresponding early warning is carried out according to different fire safety levels, and relevant units carry out corresponding processing according to the early warning, so that fire fighters can be guaranteed to rescue in time, the problem of tragic training of a big disaster caused by small fire is avoided, the safety performance of the residential buildings in the communities is improved, and the life and property safety of residential users is guaranteed.
The display module is connected with the analysis server and used for receiving and displaying the fire safety levels in the sub-areas of the residents in each residential building, which are sent by the analysis server, so that the fire safety levels in the sub-areas of the residents in each residential building can be visually displayed, and the fire safety of the residential communities is improved conveniently.
The storage database is respectively connected with the region division module, the line temperature analysis module, the environmental parameter analysis module and the analysis server and is used for receiving the number set of each household sub-region in each residential building in the community, sent by the region division module, storing the safe line temperature of a standard socket used in a room, storing the standard temperature, the standard air flow, the standard carbon monoxide concentration, the standard hydrogen concentration and the standard methane concentration in the room air environmental parameters and simultaneously storing the correction coefficients of the temperature, the air flow, the carbon monoxide, the hydrogen and the methane in the air environmental parametersAre respectively marked as
And stores the temperature influence coefficient mu of the outlet line.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (6)
1. The utility model provides a fire control calamity intelligent monitoring early warning management system based on big data which characterized in that: the system comprises a region division module, a detection point arrangement module, a line temperature detection module, a line temperature analysis module, an environmental parameter detection module, an environmental parameter analysis module, an analysis server, an early warning reminding module, a display module and a storage database;
the region dividing module is used for dividing each residential building region in the community, sequentially numbering each residential building in the community according to a sequence, wherein the numbering is 1,2, ai(ai1,ai2,...,aij,...,aim)，aijThe number of the jth resident sub-area in the ith residential building area in the community is represented, and the number set of each resident sub-area in each residential building in the community is sent to the storage database;
the detection point arrangement module is used for arranging detection points on lines of all sockets in each household subregion in each residential building, arranging a plurality of detection points on the lines of all sockets in each household subregion in each residential building in an evenly distributed mode, enabling each detection point to correspond to each socket one by one, and sending the detection points of all sockets in each household subregion in each residential building to the line temperature detection module;
the line temperature detection module is connected with the detection point arrangement module and used for receiving the detection points of all sockets in all household subareas in all residential buildings sent by the detection point arrangement module, detecting the line temperature of all sockets in all household subareas in all residential buildings in real time, counting the line temperature of all sockets in all household subareas in all residential buildings, and forming a line temperature set W of all sockets in all household subareas in all residential buildingsijT(wijt1,wijt2,...,wijtr,...,wijtl)，wijtrThe line temperature of an r-th socket in a j-th household subarea in the ith household building area is represented, and the line temperature set of each socket in each household subarea in each household building is sent to a line temperature analysis module;
the line temperature analysis module is connected with the line temperature detection module and used for receiving the line temperature set of each socket in each household subregion in each residential building sent by the line temperature detection module, extracting the safe line temperature of the indoor standard socket in the storage database, comparing the received line temperature of each socket in each household subregion in each residential building with the safe line temperature of the indoor standard socket, and obtaining the line temperature comparison difference set delta W of each socket in each household subregion in each residential buildingijT(Δwijt1,Δwijt2,...,Δwijtr,...,Δwijtl)，ΔwijtrExpressed as the comparison difference between the line temperature of the r-th socket in the jth household subregion in the ith household region and the safety line temperature, and the line temperature comparison difference set of each socket in each household subregion in each household is sent to the analysis server;
the analysis server is connected with the line temperature analysis module and is used for receiving a line temperature comparison difference set of each socket in each household subregion in each residential building, which is sent by the line temperature analysis module, analyzing the received line temperature contrast difference of each socket in each household subregion in each residential building, if the line temperature contrast difference of a certain socket in a certain household subregion in a certain residential building is less than or equal to zero, indicating the line safety of the socket in the household subregion, if the line temperature contrast difference of a certain socket in a certain household subregion in a certain residential building is greater than zero, indicating that the line of the socket in the household subregion is unsafe, counting the socket numbers in each household subregion in each household building with unsafe lines, and sending the socket numbers in each household subregion in each household building with unsafe lines to an early warning reminding module;
the environment parameter detection module is used for detecting air environment parameters in each household subregion in each residential building, detecting the temperature, the air flow, the carbon monoxide concentration, the hydrogen concentration and the methane concentration in the air environment parameters in each household subregion, counting the values of each air environment parameter in each household subregion in each residential building, and forming a value set P of each air environment parameter in each household subregion in each residential buildingik(pi1k,pi2k,...,pijk,...,pimk)，pijk is the value of the kth air environment parameter in the jth resident sub-area in the ith residential building area, and k is k1,k2,k3,k4,k5，k1、k2、k3、k4、k5Respectively representing the temperature, the air flow, the carbon monoxide, the hydrogen and the methane in the air environment parameters, and sending the numerical value set of the air environment parameters in each household subarea in each residential building to an environment parameter analysis module;
the environment parameter analysis module is connected with the environment parameter detection module and used for receiving the value set of each air environment parameter in each household subregion in each residential building sent by the environment parameter detection module, extracting and storing the standard temperature, the standard air flow, the standard carbon monoxide concentration, the standard hydrogen concentration and the standard methane concentration in the indoor air environment parameters stored in the database, and enabling the received value of each air environment parameter in each household subregion in each residential building and the corresponding air environment parameter valueComparing the standard values of the air environment parameters to obtain a comparison difference value set delta P of the values of the air environment parameters in each household subregion in each residential buildingik(Δpi1k,Δpi2k,...,Δpijk,...,Δpimk)，Δpijk is expressed as a comparison difference value between the kth air environment parameter value in the jth household subregion in the ith household region and the corresponding standard value of the air environment parameter, and the comparison difference value set of each air environment parameter value in each household subregion in each household is sent to the analysis server;
the analysis server is connected with the environmental parameter analysis module and used for receiving the value contrast difference value set of each air environmental parameter in each household subregion in each residential building sent by the environmental parameter analysis module, extracting the correction coefficient of each air environmental parameter and the temperature influence coefficient of a socket circuit stored in the storage database, calculating the fire safety influence coefficient of each household subregion in each residential building, extracting the standard fire safety influence coefficient corresponding to each fire safety level stored in the storage database, judging the fire safety level in each household subregion in each residential building, and sending the fire safety level in each household subregion in each residential building to the early warning reminding module and the display module respectively;
the early warning reminding module is connected with the analysis server and used for receiving the serial numbers of all sockets in all household subareas in all residential buildings with unsafe circuits sent by the analysis server, and carrying out early warning reminding, and each residential user carries out troubleshooting and maintenance on the corresponding socket according to the reminding; meanwhile, receiving the fire safety levels in each household subarea in each residential building sent by the analysis server, and performing corresponding early warning according to different fire safety levels, wherein relevant units perform corresponding processing according to the early warning;
the display module is connected with the analysis server and used for receiving and displaying the fire safety level in each household subarea in each residential building sent by the analysis server;
the storage database is respectively connected with the region division module, the line temperature analysis module, the environmental parameter analysis module and the analysis server and is used forReceiving the number set of each household sub-area in each residential building in the community, sent by the area division module, storing the safety line temperature of the standard socket used in the room, storing the standard temperature, the standard air flow, the standard carbon monoxide concentration, the standard hydrogen concentration and the standard methane concentration in the room air environment parameters, and simultaneously storing the correction coefficients of the temperature, the air flow, the carbon monoxide, the hydrogen and the methane in the air environment parameters, which are respectively recorded as
And stores the temperature influence coefficient mu of the outlet line.
2. A fire disaster intelligent monitoring and early warning management system based on big data as claimed in claim 1, characterized in that: the line temperature detection module comprises temperature sensors, wherein the temperature sensors are respectively installed at detection points of all sockets in each household subregion in each residential building, and the temperature sensors are in one-to-one correspondence with the detection points of all the sockets and used for detecting the line temperature of all the sockets in each household subregion in each residential building.
3. A fire disaster intelligent monitoring and early warning management system based on big data as claimed in claim 1, characterized in that: the environment parameter detection module comprises a temperature detection unit, an air flow detection unit, a carbon monoxide concentration detection unit, a hydrogen concentration detection unit and a methane concentration detection unit.
4. A fire disaster intelligent monitoring and early warning management system based on big data as claimed in claim 3, characterized in that: the temperature detection unit is a temperature sensor and is used for detecting the temperature of each household subregion in each residential building in real time; the air flow detecting unit is an air flow meter and is used for detecting the air flow of each household subregion in each residential building in real time; the carbon monoxide concentration detection unit is a carbon monoxide sensor and is used for detecting the carbon monoxide concentration of each household subregion in each residential building in real time; the hydrogen concentration detection unit is a hydrogen sensor and is used for detecting the hydrogen concentration of each household subregion in each residential building in real time; the methane concentration detection unit is a methane sensor and is used for detecting the methane concentration of each household subregion in each residential building in real time.
5. A fire disaster intelligent monitoring and early warning management system based on big data as claimed in claim 1, characterized in that: the fire safety influence coefficient calculation formula of each resident subregion in each residential building is
ξijExpressed as the fire safety impact coefficient for the jth sub-area of residents in the ith residential building, e is expressed as a natural number equal to 2.718, mu is expressed as the temperature impact coefficient of the outlet line, Δ wijtrExpressed as the difference between the line temperature of the r-th socket in the jth household sub-area in the ith residential building area and the safe line temperature, wSign boardt represents the safe line temperature for indoor use of a standard outlet,
respectively expressed as correction factors, Δ p, for temperature, air flow, carbon monoxide, hydrogen and methane in the air environment parameterijk is the comparison difference value between the k-th air environment parameter value in the jth household subarea in the ith residential building area and the corresponding standard value of the air environment parameter, and k is k1,k2,k3,k4,k5，pSign boardk is expressed as a standard value of the kth air environment parameter in the room.
6. A fire disaster intelligent monitoring and early warning management system based on big data as claimed in claim 1, characterized in that: the fire safety level decision rule is defined as follows: when the fire safety influence coefficient is 0 & lt xi & lt theta1The fire safety level is three, and when the fire safety influence coefficient is theta1＜ξ＜θ2The fire safety level is two levels, and the fire safety influence coefficient is theta2＜ξ＜θ3The fire safety level is first grade, and the influence coefficient of the fire safety is Zeta ≥ theta3The fire safety level is zero, where θ1,θ2,θ3For storing preset values of the database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011218924.0A CN112330911A (en) | 2020-11-04 | 2020-11-04 | Fire disaster intelligent monitoring and early warning management system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011218924.0A CN112330911A (en) | 2020-11-04 | 2020-11-04 | Fire disaster intelligent monitoring and early warning management system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112330911A true CN112330911A (en) | 2021-02-05 |
Family
ID=74315810
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011218924.0A Withdrawn CN112330911A (en) | 2020-11-04 | 2020-11-04 | Fire disaster intelligent monitoring and early warning management system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112330911A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115183358A (en) * | 2022-07-18 | 2022-10-14 | 安徽逸天科技有限公司 | Chlorine dioxide disinfection fresh air system based on Internet of things and artificial intelligence |
| CN115796591A (en) * | 2022-12-06 | 2023-03-14 | 武汉誉钱乐房地产有限公司 | Smart city living safety early warning analysis method and system based on image acquisition |
-
2020
- 2020-11-04 CN CN202011218924.0A patent/CN112330911A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115183358A (en) * | 2022-07-18 | 2022-10-14 | 安徽逸天科技有限公司 | Chlorine dioxide disinfection fresh air system based on Internet of things and artificial intelligence |
| CN115183358B (en) * | 2022-07-18 | 2023-03-10 | 安徽逸天科技有限公司 | Chlorine dioxide disinfection fresh air system based on Internet of things and artificial intelligence |
| CN115796591A (en) * | 2022-12-06 | 2023-03-14 | 武汉誉钱乐房地产有限公司 | Smart city living safety early warning analysis method and system based on image acquisition |
| CN115796591B (en) * | 2022-12-06 | 2023-07-07 | 深圳市博铭维系统工程有限公司 | Smart city residence safety early warning analysis method and system based on image acquisition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116246407B (en) | Agriculture and forestry area fire early warning supervisory systems based on artificial intelligence | |
| CN112330911A (en) | Fire disaster intelligent monitoring and early warning management system based on big data | |
| CN112216071A (en) | Intelligent chemical monitoring and early warning platform based on big data | |
| CN115979349B (en) | Power station space environment monitoring method and system | |
| CN110703712B (en) | Industrial control system information security attack risk assessment method and system | |
| CN114387762A (en) | Building data management method, device, equipment and storage medium | |
| CN115949890A (en) | Urban gas pipe network leakage monitoring grading alarm and disposal method | |
| CN103400308A (en) | Online detection method and online detection system for running state of GIS (gas insulated switchgear) equipment | |
| CN113091832B (en) | Intelligent monitoring method for power transformation and distribution station based on big data visualization and cloud monitoring platform | |
| CN108731731A (en) | A kind of lighning proof type safety supervision system and lighning proof type safety supervision method | |
| CN112862188A (en) | Multi-sensor environment prediction method and system | |
| CN116951328A (en) | Intelligent drainage pipeline operation monitoring system based on big data | |
| CN111176229A (en) | Chemical plant safety supervision system and method based on combustible gas concentration detection | |
| CN113343176B (en) | Elevator equipment fault early warning method based on fuzzy comprehensive evaluation | |
| CN205375763U (en) | Coal gas detects and early warning system | |
| CN112329608A (en) | Smart fire monitoring management cloud platform based on big data analysis | |
| CN208317249U (en) | A kind of computer room integrated protection device | |
| Boracchi et al. | A cognitive monitoring system for contaminant detection in intelligent buildings | |
| CN111708354A (en) | Smart hotel terminal fault detection method based on big data | |
| CN117788250B (en) | Intelligent miniature fire station management system and method | |
| CN117686682B (en) | Indoor gas fault monitoring method and system | |
| CN109917741A (en) | Data center computer room ambient air quality real-tune TT & C devices and methods therefor | |
| CN107196290A (en) | Based on the branch road and bus annexation discrimination method for measuring balance index and equipment state similarity optimizing | |
| CN113759813B (en) | Intelligent inspection comprehensive monitoring system for extra-high pressure valve hall | |
| CN113159411B (en) | Method and system for testing power grid meteorological risk early warning model |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210205 |