CN110363950A - A kind of intelligent fire classification managing and control system - Google Patents
A kind of intelligent fire classification managing and control system Download PDFInfo
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- CN110363950A CN110363950A CN201910722232.0A CN201910722232A CN110363950A CN 110363950 A CN110363950 A CN 110363950A CN 201910722232 A CN201910722232 A CN 201910722232A CN 110363950 A CN110363950 A CN 110363950A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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Abstract
The present invention provides a kind of intelligent fires to be classified managing and control system, and it includes inspection monitoring modular, alarm generation module, danger identification module, task allocating module and several dangerous situation processing terminals which, which is classified managing and control system,；Wherein, the inspection monitoring modular is for obtaining about the zone state information within the scope of predeterminable area；The alarm generation module is used to generate hazard alarm signal according to the zone state information；The danger identification module is used to determine the dangerous situation type information occurred within the scope of the predeterminable area according to the zone state information；Feedback information of the task indicating module for each according to the dangerous situation type information and in several dangerous situation processing terminals realizes that current dangerous situation processing task is sent to each dangerous situation processing terminal.
Description
Technical field
The present invention relates to the technical field of fire-fighting and rescue, in particular to a kind of intelligent fire is classified managing and control system.
Background technique
Currently, fire-fighting managing and control system is all to acquire corresponding monitoring letter in real time by the sensor being distributed in monitoring area
Breath, and collected monitoring information is sent to Central Control Room and is analyzed and processed, to judge that corresponding monitoring area whether there is
Hidden fire-fighting danger or occur fire dangerous situation, then the Central Control Room will can judge processing result be sent to accordingly apply processing end,
Go to exclusion or the fire danger of corresponding monitoring area progress hidden fire-fighting danger using the corresponding technical staff in processing end by this again
The processing of feelings.As it can be seen that existing fire-fighting managing and control system is all to carry out comprehensive point to collected information using Central Control Room as control terminal
It analyses and distributes fire-fighting processing task to corresponding technical staff according to specific mode and carry out subsequent processing, this mode
The participation that each processing step of fire-fighting managing and control system requires Central Control Room is just able to achieve, this not only will increase the data of Central Control Room
Processing pressure, and also increase the time that system carries out the exclusion of fire-fighting dangerous situation.In practical applications, this single control model
Fire-fighting managing and control system, which can not meet, to carry out fire-fighting dangerous situation quickly to exclude the requirement with processing.
Summary of the invention
In view of the defects existing in the prior art, the present invention provides a kind of intelligent fire classification managing and control system, the intelligent fire
Being classified managing and control system includes inspection monitoring modular, alarm generation module, danger identification module, task allocating module and several dangerous situations
Processing terminal；Wherein, the inspection monitoring modular is for obtaining about the zone state information within the scope of predeterminable area；The alarm is raw
It is used to generate hazard alarm signal according to the zone state information at module；The danger identification module is used for according to the area-shaped
State information determines the dangerous situation type information occurred within the scope of the predeterminable area；The task indicating module is used for according to the dangerous situation class
Type information and each the feedback information in several dangerous situation processing terminals realize that current dangerous situation processing task is sent to often
One dangerous situation processing terminal.As it can be seen that the participation that the intelligent fire hierarchy system does not need Central Control Room can be quickly and effective
Ground handles inspection monitoring information and handles task so as to form corresponding fire-fighting dangerous situation, and different dangerous situation processing terminals is being known
It can be decided whether to receive fire-fighting dangerous situation processing task according to the actual conditions of itself after the fire-fighting dangerous situation processing task, this exempts from
Original the step of task distribution is carried out by Central Control Room is gone, to effectively shorten the processing time of fire-fighting dangerous situation；In addition, the intelligence
Can fire-fighting classification managing and control system can also real-time tracking and display fire-fighting dangerous situation processing progress, and by generate it is different twice
Alarm signal carrys out the prompting of real-time perfoming fire-fighting dangerous situation processing status, so as to improve the fire-fighting danger of intelligent fire classification managing and control system
Feelings handle intelligence degree.
The present invention provides a kind of intelligent fire classification managing and control system, it is characterised in that:
The intelligent fire classification managing and control system includes inspection monitoring modular, alarm generation module, danger identification module, appoints
Distribution module of being engaged in and several dangerous situation processing terminals；Wherein,
The inspection monitoring modular is for obtaining about the zone state information within the scope of predeterminable area；
The alarm generation module is used to generate hazard alarm signal according to the zone state information；
The danger identification module is used to determine generation within the scope of the predeterminable area according to the zone state information
Dangerous situation type information；
The task indicating module is used for according to the dangerous situation type information and in several dangerous situation processing terminals
The feedback information of each realizes that current dangerous situation processing task is sent to each dangerous situation processing terminal；
Further, the inspection monitoring modular includes that inspection operation submodule, inspection action planning submodule and monitoring pass
Feel submodule；Wherein,
The inspection operation submodule is executed for carrying the monitoring sensing submodule within the scope of the predeterminable area
The inspection monitoring operation of different action modes；
The history inspection monitoring operation that the inspection action planning submodule is used to operate submodule according to the inspection is remembered
Record generates the indication signal that the inspection monitoring operation is executed about inspection operation submodule；
The monitoring sensing submodule is used to execute the drive of the inspection monitoring operation in inspection operation submodule
Under, different zones sensing data is carried out to the predeterminable area range；
Further, the inspection monitoring modular further includes that inspection location information generates submodule and the generation of inspection monitoring information
Submodule；Wherein,
The inspection location information generates submodule and is used for during obtaining different zones sensing data, to it is described not
With region sensing data, corresponding regional location carries out positioning operation, generates sensing data location information with this；
The inspection monitoring information generates submodule and is used for the different zones sensing data and/or the sensing data
Location information carries out calculating conversion process, generates the zone state information with this；
Further, the monitoring sensing submodule includes at least image acquisition units；Wherein,
Described image acquisition unit is for obtaining about several images within the scope of the predeterminable area；
The inspection monitoring operation that the inspection operation submodule executes different action modes specifically includes,
The inspection operation submodule obtains the preset areas according to about several images within the scope of the predeterminable area
Three-dimensional environment image within the scope of domain；
The inspection operation submodule determines existing within the scope of the predeterminable area also according to the three-dimensional environment image
Obstacle information；
The inspection operation submodule determines at least one in the different action modes also according to the obstacle information
Person, so that the monitoring sensing submodule of its carrying can adjust monitoring orientation, monitoring height and in the monitoring duration
At least；
Alternatively,
Monitoring sensing submodule include in smog sensing unit, infrared hot sensing unit and temperature sensing unit extremely
Few one；Wherein,
The smog sensing unit is used to obtain smoke particle type or the smoke particle within the scope of the predeterminable area
Concentration；
The infrared hot sensing unit is used to obtain the infrared thermal imaging data within the scope of the predeterminable area；
The temperature sensing unit is used to obtain the temperature profile data within the scope of the predeterminable area；
Further, the inspection action planning submodule includes action data generation unit, six degree of freedom adjustment unit, height
Spend adjustment unit and clock unit；Wherein,
The action data generation unit is used for according to the monitoring range data for including in the different action modes, monitors
Altitude information and monitoring at least one of duration data generate the first adjustment signal, second adjustment signal and the respectively
Three adjustment signals；
The six degree of freedom adjustment unit is used to change according to the first adjustment signal and carry the monitoring sensing submodule
Orientation of the mechanical mechanism of block on six degree of freedom；
The height adjustment unit is used to change the carrying monitoring sensing submodule according to the second adjustment signal
The height with respect to the horizontal plane of mechanical mechanism；
The clock unit is used to generate the work of the instruction monitoring sensing submodule according to the third adjustment signal
Periodic signal, so that the monitoring sensing submodule can carry out the monitoring of various durations according to the working period signal
Sensing operation；
Further, the alarm generation module includes that the first alarm signal generates submodule, the second alarm signal generates son
Module and danger signal transmit submodule；Wherein,
First alarm signal generates submodule and is used for after receiving the zone state information, firstly generates first
Hazard alarm signal, and danger signal transmission submodule is used to the first hazard alarm signal being sent to the intelligence
The background interface of energy fire-fighting classification managing and control system；
Second alarm signal generates submodule for any one completion in several dangerous situation processing terminals
After dangerous situation exclusion processing, the second hazard alarm signal is generated, and danger signal transmission submodule is used for described second
Hazard alarm signal is sent to the front-end interface of the intelligent fire classification managing and control system；
Further, the danger identification module includes area characteristic information extracting sub-module, area characteristic information discrimination
Module and area characteristic information judging submodule；Wherein, the area characteristic information extracting sub-module is used for the area-shaped
State information carries out feature extraction processing, obtains the feature vector letter within the scope of the predeterminable area about the monitoring of current dangerous situation with this
Breath, wherein described eigenvector information includes at least several potential dangerous situation characteristic elements of the predeterminable area range；
The area characteristic information distinguishes that submodule is used to carry out described eigenvector information dangerous situation type discrimination processing,
The dangerous situation type that the predeterminable area range currently occurs is determined with this, wherein the dangerous situation type includes equipment fault, danger
Product hidden danger, equipment initiate at least one of fire behavior and artificial initiation fire behavior；
The area characteristic information judging submodule is used to distinguish what submodule distinguished to the area characteristic information
Dangerous situation type executes Effective judgement processing, determines the dangerous situation type with the presence or absence of erroneous judgement situation with this；
Alternatively,
The danger identification module is also used to determine within the scope of the predeterminable area and occur according to the zone state information
Dangerous situation type information and corresponding dangerous situation severity level, and according to the dangerous situation type information and the dangerous situation severity level
It controls the task indicating module and executes corresponding emergency measure, wherein the danger identification module determines the predeterminable area
The dangerous situation type information of generation specifically comprises the following steps with the dangerous situation severity level in range,
Step (1) obtains presently described zone state information, and extracts the corresponding feature vector of the zone state information
Information, by described eigenvector information formed vector D, the vector D include N number of eigenvector information value, N be the feature to
Measure the number of the value of information in information；
Step (2) sets a historical information database, the historical information database in the danger identification module
Each data comprising the P data about all dangerous situation types under different time and different situations, in the P data
Correspondence includes N number of eigenvector information value in the zone state information, and forms matrix A according to the P data, together
When its corresponding dangerous situation type is marked behind each data in the P data to form vector Y；
Step (3) carries out standardization processing to the matrix A using following formula (1), to form Standard Process B
In above-mentioned formula (1), Bi,tFor the element value that the i-th row t in the Standard Process B is arranged, Ai,tFor the square
The element value of i-th row t column, D in battle array AtFor t-th of element value of vector D, i=1,2 ..., P, t=1,2 ..., N；
Step (4) obtains the difference matrix CY of the Standard Process B using following formula (2)
In above-mentioned formula (2), CYj,tFor the difference matrix jth row t column element value, j=1,2 ..., P, t=
1,2,…,N；
Coefficient of variation vector C is calculated using following formula (3) in step (5)
| CY-CE |=0 (3)
In above-mentioned formula (3), CY is the difference matrix, and E is unit matrix, and C is the coefficient of variation vector, and is led to
It crosses solution above-mentioned formula (3) and calculates the coefficient of variation vector C；
Interconnection vector F is calculated using following formula (4) in step (6)
In above-mentioned formula (4), FiFor i-th of value of the interconnection vector F, CtFor the t of the coefficient of variation vector C
A value can determine the dangerous situation type information by the interconnection vector F；
Step (7) determines the dangerous situation severity level using following formula (5)
In above-mentioned formula (5), RT is the dangerous situation severity level, and the value of RT shows more greatly the dangerous situation severity level more
Height, floor () are to carry out rounding operation to the numerical value in bracket using rounding up, and S1 is that finally determining dangerous situation type is come
The number occurred in each dangerous situation type of the S acquired, M are the maximum of the overall severity level of finally determining dangerous situation type
Value；
Step (8) controls the task instruction mould with the dangerous situation severity level according to the dangerous situation type information is obtained
Block executes corresponding emergency measure, and the emergency measure is sent to each dangerous situation processing terminal；
Further, the area characteristic information judging submodule executes the Effective judgement processing and specifically includes,
The area characteristic information judging submodule calculates the predeterminable area range according to described eigenvector information
Current several dangerous situation occurrence conditions；
The area characteristic information judging submodule is also according to several dangerous situation occurrence conditions and the predeterminable area model
The real time environment parameter enclosed constructs the dangerous situation Occurrence forecast model about the predeterminable area range；
The area characteristic information judging submodule calculates each dangerous situation class also according to the dangerous situation Occurrence forecast model
Type, the respective probability of happening value under the predeterminable area range current environmental condition；
The area characteristic information judging submodule is also used to the respective probability of happening value of each dangerous situation type,
Processing is compared with corresponding probability of happening threshold value, determines the dangerous situation type with the presence or absence of erroneous judgement situation with this；
Further, the task indicating module includes that task generates submodule and task transmission submodule；Wherein,
The task generates submodule and is used to be generated presently described according to the dangerous situation type information and the feedback information
The corresponding request of existing dangerous situation handles task message within the scope of predeterminable area；
The task transmission submodule is used for being sent to the request processing task message orientation at each dangerous situation
Manage terminal；
Further, each of described several dangerous situation processing terminals include task receiving submodule, response submodule,
Interacting message submodule and processing progress report submodule；Wherein,
The task receiving submodule is used to receive the request processing task message from the task indicating module；
The response submodule is used to handle task message according to the request, generates request processing task order determination and disappears
Breath；
The interacting message submodule is used to the request processing task order determining that message is sent at other dangerous situations
Manage terminal, and if a certain dangerous situation processing terminal had been received before generating the request processing task order and determining message
When determining message from the request processing task order of other dangerous situation processing terminals, then a certain dangerous situation processing terminal stops to generate
The request processing task order determines message；
The processing progress reports submodule for carrying out the real-time dangerous situation processing progress of the practical undertaking personnel of task
Report.
Compared with the prior art, intelligent fire classification managing and control system includes inspection monitoring modular, alarm generation module, danger
Feelings identification module, task allocating module and several dangerous situation processing terminals；Wherein, the inspection monitoring modular is for obtaining about default
Zone state information in regional scope；The alarm generation module is used to generate hazard alarm letter according to the zone state information
Number；The danger identification module is used to determine the dangerous situation type letter occurred within the scope of the predeterminable area according to the zone state information
Breath；Feedback of the task indicating module for each according to the dangerous situation type information and in several dangerous situation processing terminals
Information realizes that current dangerous situation processing task is sent to each dangerous situation processing terminal.As it can be seen that the intelligent fire hierarchy system is not
Need the participation of Central Control Room that can handle inspection monitoring information and quickly and to effectively so as to form the processing of corresponding fire-fighting dangerous situation
Task, and different dangerous situation processing terminals can determine after knowing the fire-fighting dangerous situation processing task according to the actual conditions of itself
Whether fire-fighting dangerous situation processing task is received, this eliminates original the step of carrying out task distribution by Central Control Room, thus effectively
Shorten the processing time of fire-fighting dangerous situation；In addition, intelligent fire classification managing and control system can also real-time tracking and display fire-fighting danger
The processing progress of feelings, and by generating different twice alarm signal come the prompting of real-time perfoming fire-fighting dangerous situation processing status, from
And improve the fire-fighting dangerous situation processing intelligence degree of intelligent fire classification managing and control system.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by written explanation
Specifically noted structure is achieved and obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the structural schematic diagram that a kind of intelligent fire provided by the invention is classified managing and control system.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It refering to fig. 1, is a kind of structural schematic diagram of intelligent fire classification managing and control system provided in an embodiment of the present invention.The intelligence
If can fire-fighting classification managing and control system include inspection monitoring modular, alarm generation module, danger identification module, task allocating module and
Dry dangerous situation processing terminal；Wherein,
The inspection monitoring modular is for obtaining about the zone state information within the scope of predeterminable area；
The alarm generation module is used to generate hazard alarm signal according to the zone state information；
The danger identification module is used to determine the dangerous situation class occurred within the scope of the predeterminable area according to the zone state information
Type information；
The task indicating module is used for according to the dangerous situation type information and comes from each in several dangerous situation processing terminals
Feedback information, realize that current dangerous situation processing task is sent to each dangerous situation processing terminal.
Preferably, which includes inspection operation submodule, inspection action planning submodule and monitoring sensing
Submodule；
Preferably, inspection operation submodule is held for carrying monitoring sensing submodule within the scope of the predeterminable area
The inspection monitoring operation of the different action modes of row；
Preferably, which is used to operate the history inspection monitoring operation of submodule according to the inspection
Record generates the indication signal that the inspection monitoring operation is executed about inspection operation submodule；
Preferably, monitoring sensing submodule is used to execute the drive of the inspection monitoring operation in inspection operation submodule
Under, different zones sensing data is carried out to the predeterminable area range.
Preferably, which further includes that inspection location information generates submodule and inspection monitoring information generation
Module；
Preferably, which generates submodule and is used for during obtaining different zones sensing data, right
The corresponding regional location of the different zones sensing data carries out positioning operation, generates sensing data location information with this；
Preferably, which generates submodule and is used for the different zones sensing data and/or the sensing number
Calculating conversion process is carried out according to location information, which is generated with this.
Preferably, monitoring sensing submodule includes at least image acquisition units；
Preferably, the image acquisition units are for obtaining about several images within the scope of the predeterminable area；
Preferably, the inspection monitoring operation that inspection operation submodule executes different action modes specifically includes,
The inspection operates submodule according to about several images within the scope of the predeterminable area, obtains the predeterminable area range
Interior three-dimensional environment image；
The inspection operates submodule also according to the three-dimensional environment image, determines existing barrier within the scope of the predeterminable area
Information；
The inspection operates submodule also according to the obstacle information, determines at least one of the difference action mode, with
The monitoring sensing submodule of its carrying is set to adjust monitoring orientation, monitoring height and monitor in the duration at least；
Preferably, monitoring sensing submodule includes smog sensing unit, infrared hot sensing unit and temperature sensing unit
At least one of；
Preferably, which is used to obtain smoke particle type or the smog within the scope of the predeterminable area
Grain concentration；
Preferably, which is used to obtain the infrared thermal imaging data within the scope of the predeterminable area；
Preferably, which is used to obtain the temperature profile data within the scope of the predeterminable area.
Preferably, which includes action data generation unit, six degree of freedom adjustment unit, height
Adjustment unit and clock unit；
Preferably, the action data generation unit be used for according to the monitoring range data for including in the difference action mode,
At least one of altitude information and monitoring duration data are monitored, generates the first adjustment signal, second adjustment signal respectively
With third adjustment signal；
Preferably, which is used to change according to the first adjustment signal and carry monitoring sensing
Orientation of the mechanical mechanism of module on six degree of freedom；
Preferably, which is used to change according to the second adjustment signal and carry monitoring sensing submodule
Mechanical mechanism height with respect to the horizontal plane；
Preferably, which is used to generate the work for indicating monitoring sensing submodule according to the third adjustment signal
Make periodic signal, so that the monitoring that monitoring sensing submodule can carry out various durations according to the working period signal passes
Sense operation.
Preferably, which includes that the first alarm signal generates submodule, the second alarm signal generates submodule
Block and danger signal transmit submodule；
Preferably, which generates submodule and is used for after receiving the zone state information, firstly generates
First hazard alarm signal, and danger signal transmission submodule is used to the first hazard alarm signal being sent to the intelligence
The background interface of fire-fighting classification managing and control system；
Preferably, which it is complete for any one in several dangerous situation processing terminals to generate submodule
After handling at dangerous situation exclusion, the second hazard alarm signal is generated, and danger signal transmission submodule is used for second danger
Feelings alarm signal is sent to the front-end interface of intelligent fire classification managing and control system.
Preferably, which includes area characteristic information extracting sub-module, area characteristic information discrimination submodule
Block and area characteristic information judging submodule；
Preferably, which is used to carry out feature extraction processing to the zone state information,
The eigenvector information within the scope of the predeterminable area about the monitoring of current dangerous situation is obtained with this, wherein this feature vector information is extremely
It less include several potential dangerous situation characteristic elements of the predeterminable area range；
Preferably, which distinguishes that submodule is used to carry out at the discrimination of dangerous situation type this feature vector information
Reason, determines the dangerous situation type that the predeterminable area range currently occurs with this, wherein the dangerous situation type includes equipment fault, danger
Product hidden danger, equipment initiate at least one of fire behavior and artificial initiation fire behavior；
Preferably, which is used to distinguish that submodule distinguishes to obtain to the area characteristic information
Dangerous situation type execute Effective judgement processing, determine the dangerous situation type with the presence or absence of erroneous judgement situation with this；
Preferably, which is also used to determine within the scope of the predeterminable area and send out according to the zone state information
Raw dangerous situation type information and corresponding dangerous situation severity level, and according to the dangerous situation type information and the dangerous situation severity level control
It makes the task indicating module and executes corresponding emergency measure, wherein the danger identification module is determined within the scope of the predeterminable area and sent out
The raw dangerous situation type information specifically comprises the following steps with the dangerous situation severity level,
Step (1) obtains the current zone state information, and extracts the corresponding feature vector letter of the zone state information
This feature vector information is formed vector D by breath, and vector D includes N number of eigenvector information value, and N is in this feature vector information
The number of the value of information；
Step (2), sets a historical information database in the danger identification module, which includes
The corresponding packet of each data about the P data of all dangerous situation types under different time and different situations, in the P data
Matrix A is formed containing N number of eigenvector information value in the zone state information, and according to the P data, while in the P item
Its corresponding dangerous situation type is marked behind each data in data to form vector Y；
Step (3) carries out standardization processing to the matrix A using following formula (1), to form Standard Process B
In above-mentioned formula (1), Bi,tFor the element value that the i-th row t in Standard Process B is arranged, Ai,tFor in the matrix A
The element value of i-th row t column, DtFor t-th of element value of vector D, i=1,2 ..., P, t=1,2 ..., N；
Step (4) obtains the difference matrix CY of Standard Process B using following formula (2)
In above-mentioned formula (2), CYj,tFor the difference matrix jth row t column element value, j=1,2 ..., P, t=1,
2,…,N；
Coefficient of variation vector C is calculated using following formula (3) in step (5)
| CY-CE |=0 (3)
In above-mentioned formula (3), CY is the difference matrix, and E is unit matrix, and C is the coefficient of variation vector, and by asking
Solution above-mentioned formula (3) calculates coefficient of variation vector C；
Interconnection vector F is calculated using following formula (4) in step (6)
In above-mentioned formula (4), FiFor i-th of value of interconnection vector F, CtFor t-th of value of coefficient of variation vector C,
It can determine the dangerous situation type information by interconnection vector F；
Step (7) determines the dangerous situation severity level using following formula (5)
In above-mentioned formula (5), RT is the dangerous situation severity level, and the value of RT shows that more greatly the dangerous situation severity level is higher,
Floor () is to carry out rounding operation to the numerical value in bracket using rounding up, and S1 is finally determining dangerous situation type to obtain
The number occurred in each dangerous situation type of obtained S, M are the maximum value of the overall severity level of finally determining dangerous situation type；
Step (8) controls task indicating module execution with the dangerous situation severity level according to the dangerous situation type information is obtained
Corresponding emergency measure, and the emergency measure is sent to each dangerous situation processing terminal.
Preferably, which executes Effective judgement processing and specifically includes,
It is current to calculate the predeterminable area range according to this feature vector information for the area characteristic information judging submodule
Several dangerous situation occurrence conditions；
Reality of the area characteristic information judging submodule also according to several the dangerous situation occurrence conditions and the predeterminable area range
When environmental parameter, construct dangerous situation Occurrence forecast model about the predeterminable area range；
The area characteristic information judging submodule calculates each dangerous situation type also according to the dangerous situation Occurrence forecast model,
The respective probability of happening value under the predeterminable area range current environmental condition；
The area characteristic information judging submodule is also used to the respective probability of happening value of each dangerous situation type, and right
The probability of happening threshold value answered compares processing, determines the dangerous situation type with the presence or absence of erroneous judgement situation with this.
Preferably, which includes that task generates submodule and task transmission submodule；
Preferably, which generates submodule and is used to currently should be generated according to the dangerous situation type information and the feedback information
The corresponding request of existing dangerous situation handles task message within the scope of predeterminable area；
Preferably, task transmission submodule is used to request processing task message orientation being sent to each dangerous situation
Processing terminal.
Preferably, each of several dangerous situation processing terminals include task receiving submodule, response submodule, disappear
It ceases interaction submodule and processing progress reports submodule；
Preferably, which is used to receive the request processing task message from the task indicating module；
Preferably, which is used to handle task message according to the request, and it is true to generate request processing task order
Determine message；
Preferably, which is used to request processing task order determining that message is sent to other dangerous situations
Processing terminal, and if a certain dangerous situation processing terminal generating request processing task order and determining to have been received before message
When determining message from the request processing task order of other dangerous situation processing terminals, then a certain dangerous situation processing terminal stops to generate and be somebody's turn to do
Request processing task order determines message；
Preferably, the processing progress report submodule for by the real-time dangerous situation processing progress of the practical undertaking personnel of task into
Row reports.
From above-described embodiment as can be seen that intelligent fire classification managing and control system includes inspection monitoring modular, alarm generation
Module, danger identification module, task allocating module and several dangerous situation processing terminals；Wherein, the inspection monitoring modular is for obtaining
About the zone state information within the scope of predeterminable area；The alarm generation module is used to generate danger according to the zone state information
Feelings alarm signal；The danger identification module is used to determine the danger occurred within the scope of the predeterminable area according to the zone state information
Feelings type information；The task indicating module is used for according to the dangerous situation type information and comes from each in several dangerous situation processing terminals
A feedback information realizes that current dangerous situation processing task is sent to each dangerous situation processing terminal.As it can be seen that the intelligent fire is classified
The participation that system does not need Central Control Room can handle inspection monitoring information and quickly and to effectively so as to form corresponding fire-fighting
Dangerous situation handles task, and different dangerous situation processing terminals can be according to itself reality after knowing the fire-fighting dangerous situation processing task
Situation decides whether that receiving the fire-fighting dangerous situation handles task, this eliminates original the step of carrying out task distribution by Central Control Room, from
And effectively shorten the processing time of fire-fighting dangerous situation；In addition, intelligent fire classification managing and control system can also real-time tracking and aobvious
Show the processing progress of fire-fighting dangerous situation, and by generating alarm signals different twice come real-time perfoming fire-fighting dangerous situation processing status
It reminds, the fire-fighting dangerous situation so as to improve intelligent fire classification managing and control system handles intelligence degree.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of intelligent fire is classified managing and control system, it is characterised in that:
The intelligent fire classification managing and control system includes inspection monitoring modular, alarm generation module, danger identification module, task point
With module and several dangerous situation processing terminals；Wherein,
The inspection monitoring modular is for obtaining about the zone state information within the scope of predeterminable area；
The alarm generation module is used to generate hazard alarm signal according to the zone state information；
The danger identification module is used to determine the dangerous situation occurred within the scope of the predeterminable area according to the zone state information
Type information；
The task indicating module is used for according to the dangerous situation type information and comes from each in several dangerous situation processing terminals
A feedback information realizes that current dangerous situation processing task is sent to each dangerous situation processing terminal.
2. intelligent fire as described in claim 1 is classified managing and control system, it is characterised in that:
The inspection monitoring modular includes inspection operation submodule, inspection action planning submodule and monitoring sensing submodule；Its
In,
The inspection operation submodule executes difference for carrying the monitoring sensing submodule within the scope of the predeterminable area
The inspection monitoring operation of action mode；
The history inspection monitoring operation that the inspection action planning submodule is used to operate submodule according to the inspection records, raw
At the indication signal for executing the inspection monitoring operation about inspection operation submodule；
The monitoring sensing submodule is used in the case where inspection operation submodule executes the drive of the inspection monitoring operation, right
The predeterminable area range carries out different zones sensing data.
3. intelligent fire as claimed in claim 2 is classified managing and control system, it is characterised in that:
The inspection monitoring modular further includes that inspection location information generates submodule and inspection monitoring information generation submodule；Its
In,
The inspection location information generates submodule and is used for during obtaining different zones sensing data, to the not same district
Sensing data corresponding regional location in domain carries out positioning operation, generates sensing data location information with this；
The inspection monitoring information generates submodule and is used to position the different zones sensing data and/or the sensing data
Information carries out calculating conversion process, generates the zone state information with this.
4. intelligent fire as claimed in claim 2 is classified managing and control system, it is characterised in that:
The monitoring sensing submodule includes at least image acquisition units；Wherein,
Described image acquisition unit is for obtaining about several images within the scope of the predeterminable area；
The inspection monitoring operation that the inspection operation submodule executes different action modes specifically includes,
The inspection operation submodule obtains the predeterminable area model according to about several images within the scope of the predeterminable area
Enclose interior three-dimensional environment image；
The inspection operation submodule determines existing obstacle within the scope of the predeterminable area also according to the three-dimensional environment image
Object information；
The inspection operation submodule determines at least one of described different action modes also according to the obstacle information,
So that its monitoring sensing submodule carried can adjust monitoring orientation, monitoring height and monitor in the duration extremely
It is few；
Alternatively,
The monitoring sensing submodule includes at least one in smog sensing unit, infrared hot sensing unit and temperature sensing unit
Person；Wherein,
The smog sensing unit is used to obtain the smoke particle type or smoke particle concentration within the scope of the predeterminable area；
The infrared hot sensing unit is used to obtain the infrared thermal imaging data within the scope of the predeterminable area；
The temperature sensing unit is used to obtain the temperature profile data within the scope of the predeterminable area.
5. intelligent fire as claimed in claim 4 is classified managing and control system, it is characterised in that:
The inspection action planning submodule includes action data generation unit, six degree of freedom adjustment unit, height adjustment unit
And clock unit；Wherein,
The action data generation unit is used for according to monitoring range data, the monitoring height for including in the different action modes
At least one of data and monitoring duration data, generate the first adjustment signal, second adjustment signal and third tune respectively
Entire signal；
The six degree of freedom adjustment unit is used to change the carrying monitoring sensing submodule according to the first adjustment signal
Orientation of the mechanical mechanism on six degree of freedom；
The height adjustment unit is used to change according to the second adjustment signal machinery of the carrying monitoring sensing submodule
The height with respect to the horizontal plane of mechanism；
The clock unit is used to generate the duty cycle of the instruction monitoring sensing submodule according to the third adjustment signal
Signal, so that the monitoring sensing submodule can carry out the monitoring sensing of various durations according to the working period signal
Operation.
6. intelligent fire as described in claim 1 is classified managing and control system, it is characterised in that:
The alarm generation module includes that the first alarm signal generates submodule, the second alarm signal generates submodule and dangerous situation letter
Number transmission submodule；Wherein,
First alarm signal generates submodule and is used for after receiving the zone state information, firstly generates the first dangerous situation
Alarm signal, and danger signal transmission submodule disappears for the first hazard alarm signal to be sent to the intelligence
The background interface of anti-classification managing and control system；
Second alarm signal generates submodule and completes dangerous situation for any one in several dangerous situation processing terminals
After exclusion processing, the second hazard alarm signal is generated, and danger signal transmission submodule is used for second dangerous situation
Alarm signal is sent to the front-end interface of the intelligent fire classification managing and control system.
7. intelligent fire as described in claim 1 is classified managing and control system, it is characterised in that:
The danger identification module includes that area characteristic information extracting sub-module, area characteristic information discrimination submodule and region are special
Reference ceases judging submodule；Wherein,
The area characteristic information extracting sub-module is used to carry out feature extraction processing to the zone state information, is obtained with this
Eigenvector information within the scope of the predeterminable area about the monitoring of current dangerous situation, wherein described eigenvector information is at least wrapped
Include several potential dangerous situation characteristic elements of the predeterminable area range；
The area characteristic information distinguishes that submodule is used to carry out described eigenvector information dangerous situation type discrimination processing, with this
Determine the dangerous situation type that the predeterminable area range currently occurs, wherein the dangerous situation type includes that equipment fault, dangerous material are hidden
Suffer from, equipment initiates fire behavior and artificially initiates at least one of fire behavior；
The area characteristic information judging submodule is used to distinguish the area characteristic information dangerous situation that submodule distinguishes
Type executes Effective judgement processing, determines the dangerous situation type with the presence or absence of erroneous judgement situation with this；
Alternatively,
The danger identification module is also used to determine the danger occurred within the scope of the predeterminable area according to the zone state information
Feelings type information and corresponding dangerous situation severity level, and controlled according to the dangerous situation type information and the dangerous situation severity level
The task indicating module executes corresponding emergency measure, wherein the danger identification module determines the predeterminable area range
The dangerous situation type information of interior generation specifically comprises the following steps with the dangerous situation severity level,
Step (1) obtains presently described zone state information, and extracts the corresponding feature vector letter of the zone state information
Described eigenvector information is formed vector D by breath, and the vector D includes N number of eigenvector information value, and N is described eigenvector
The number of the value of information in information；
Step (2), sets a historical information database in the danger identification module, and the historical information database includes
About the P data of all dangerous situation types under different time and different situations, each data in the P data is corresponding
It include N number of eigenvector information value in the zone state information, and according to P data formation matrix A, while
Its corresponding dangerous situation type is marked behind each data in the P data to form vector Y；
Step (3) carries out standardization processing to the matrix A using following formula (1), to form Standard Process B
In above-mentioned formula (1), Bi,tFor the element value that the i-th row t in the Standard Process B is arranged, Ai,tFor in the matrix A
The element value of i-th row t column, DtFor t-th of element value of vector D, i=1,2 ..., P, t=1,2 ..., N；
Step (4) obtains the difference matrix CY of the Standard Process B using following formula (2)
In above-mentioned formula (2), CYj,tFor the difference matrix jth row t column element value, j=1,2 ..., P, t=1,
2,…,N；
Coefficient of variation vector C is calculated using following formula (3) in step (5)
| CY-CE |=0 (3)
In above-mentioned formula (3), CY is the difference matrix, and E is unit matrix, and C is the coefficient of variation vector, and by asking
Solution above-mentioned formula (3) calculates the coefficient of variation vector C；
Interconnection vector F is calculated using following formula (4) in step (6)
In above-mentioned formula (4), FiFor i-th of value of the interconnection vector F, CtFor t-th of value of the coefficient of variation vector C,
It can determine the dangerous situation type information by the interconnection vector F；
Step (7) determines the dangerous situation severity level using following formula (5)
In above-mentioned formula (5), RT is the dangerous situation severity level, and the value of RT shows that more greatly the dangerous situation severity level is higher,
Floor () is to carry out rounding operation to the numerical value in bracket using rounding up, and S1 is finally determining dangerous situation type to obtain
The number occurred in each dangerous situation type of obtained S, M are the maximum value of the overall severity level of finally determining dangerous situation type；
Step (8) is held according to the dangerous situation type information is obtained with the dangerous situation severity level control task indicating module
The corresponding emergency measure of row, and the emergency measure is sent to each dangerous situation processing terminal.
8. intelligent fire as claimed in claim 7 is classified managing and control system, it is characterised in that:
The area characteristic information judging submodule executes the Effective judgement processing and specifically includes, the area characteristic information
Judging submodule calculates the current several dangerous situation occurrence conditions of the predeterminable area range according to described eigenvector information；
The area characteristic information judging submodule is also according to several dangerous situation occurrence conditions and the predeterminable area range
Real time environment parameter constructs the dangerous situation Occurrence forecast model about the predeterminable area range；
The area characteristic information judging submodule calculates each dangerous situation type also according to the dangerous situation Occurrence forecast model,
The respective probability of happening value under the predeterminable area range current environmental condition；
The area characteristic information judging submodule is also used to the respective probability of happening value of each dangerous situation type, and right
The probability of happening threshold value answered compares processing, determines the dangerous situation type with the presence or absence of erroneous judgement situation with this.
9. intelligent fire as described in claim 1 is classified managing and control system, it is characterised in that:
The task indicating module includes that task generates submodule and task transmission submodule；Wherein, the task generates submodule
Block is used to generate existing dangerous situation within the scope of presently described predeterminable area according to the dangerous situation type information and the feedback information
Corresponding request handles task message；
The task transmission submodule is used to the request processing task message orientation being sent to the processing of each dangerous situation eventually
End.
10. intelligent fire as described in claim 1 is classified managing and control system, it is characterised in that:
Each of described several dangerous situation processing terminals include task receiving submodule, response submodule, interacting message
Module and processing progress report submodule；Wherein,
The task receiving submodule is used to receive the request processing task message from the task indicating module；
The response submodule is used to handle task message according to the request, generates request processing task order and determines message；
The interacting message submodule is used to determine the request processing task order that message to be sent to the processing of other dangerous situations eventually
End, and if a certain dangerous situation processing terminal have been received before generating the request processing task order and determining message from it
When the request processing task order of his dangerous situation processing terminal determines message, then a certain dangerous situation processing terminal stops described in generation
Request processing task order determines message；
The processing progress reports submodule for reporting the real-time dangerous situation processing progress of the practical undertaking personnel of task.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111754715A (en) * | 2020-06-15 | 2020-10-09 | 珠海格力电器股份有限公司 | Fire-fighting emergency response method, device and system |
| CN112330163A (en) * | 2020-11-09 | 2021-02-05 | 北京元心科技有限公司 | Task allocation method, system, electronic device and computer readable storage medium |
| CN112712662A (en) * | 2020-12-21 | 2021-04-27 | 武汉天宫北斗科技有限公司 | Remote sensing environment disaster monitoring and warning system |
| CN114792465A (en) * | 2022-04-14 | 2022-07-26 | 广东永耀消防机电工程有限公司 | Fire safety monitoring system based on regional alarm model |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251942A (en) * | 2008-03-14 | 2008-08-27 | 华南理工大学 | Underground space fire intelligent detection early alarming and forecasting method and apparatus |
| KR20120087226A (en) * | 2010-11-29 | 2012-08-07 | 한국원자력연구원 | Explicit fire propagation path seaerching method and exclusive fire scenario identification method |
| CN203038407U (en) * | 2013-01-04 | 2013-07-03 | 北京纵横机电技术开发公司 | Fire prevention video linkage device of locomotive-mounted safety monitoring equipment |
| CN103366374A (en) * | 2013-07-12 | 2013-10-23 | 重庆大学 | Fire fighting access obstacle detection method based on image matching |
| CN103512922A (en) * | 2013-08-01 | 2014-01-15 | 浙江工商大学 | Electrical fire detection system and method based on electronic nose system |
| US9424533B1 (en) * | 2011-09-24 | 2016-08-23 | Z Advanced Computing, Inc. | Method and system for predicting an outcome of an event |
| CN105975991A (en) * | 2016-05-18 | 2016-09-28 | 浙江工业大学 | Improved fire type identification method of extreme learning machine |
| CN205809640U (en) * | 2016-07-20 | 2016-12-14 | 武汉东湖学院 | A kind of fire extinguishing intelligence control system |
| CN206964946U (en) * | 2017-04-19 | 2018-02-06 | 李振风 | The fire plant of building fire protection facility barrier monitoring device and its composition |
| CN207624128U (en) * | 2017-12-14 | 2018-07-17 | 中国船舶重工集团公司第七一0研究所 | A kind of vehicle-mounted dedicated miniaturized intelligent the monitoring system of fire protection |
| CN109064050A (en) * | 2018-08-17 | 2018-12-21 | 公安部沈阳消防研究所 | Multiple linear regression Fire risk assessment method based on big data |
| US20190050348A1 (en) * | 2013-04-01 | 2019-02-14 | Secturion Systems, Inc. | Multi-level independent security architecture |
| CN109523759A (en) * | 2018-11-22 | 2019-03-26 | 广州大学 | A kind of intelligent fire-proofing monitoring system and method for logistics warehouse |
| CN109523760A (en) * | 2019-01-14 | 2019-03-26 | 上海瑞眼科技有限公司 | A kind of intelligent fire alarm system and method based on cloud |
| CN109887221A (en) * | 2019-03-13 | 2019-06-14 | 杭州图析同创科技有限公司 | A kind of fire disaster intelligently detection system and its control method |
| CN209015360U (en) * | 2018-11-29 | 2019-06-21 | 李伟 | A kind of forestry fire monitoring equipment |
| CN109993941A (en) * | 2019-03-20 | 2019-07-09 | 合肥名德光电科技股份有限公司 | Thermal imaging fire alarm system and its image processing method based on artificial intelligence |
-
2019
- 2019-08-06 CN CN201910722232.0A patent/CN110363950B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251942A (en) * | 2008-03-14 | 2008-08-27 | 华南理工大学 | Underground space fire intelligent detection early alarming and forecasting method and apparatus |
| KR20120087226A (en) * | 2010-11-29 | 2012-08-07 | 한국원자력연구원 | Explicit fire propagation path seaerching method and exclusive fire scenario identification method |
| US9424533B1 (en) * | 2011-09-24 | 2016-08-23 | Z Advanced Computing, Inc. | Method and system for predicting an outcome of an event |
| CN203038407U (en) * | 2013-01-04 | 2013-07-03 | 北京纵横机电技术开发公司 | Fire prevention video linkage device of locomotive-mounted safety monitoring equipment |
| US20190050348A1 (en) * | 2013-04-01 | 2019-02-14 | Secturion Systems, Inc. | Multi-level independent security architecture |
| CN103366374A (en) * | 2013-07-12 | 2013-10-23 | 重庆大学 | Fire fighting access obstacle detection method based on image matching |
| CN103512922A (en) * | 2013-08-01 | 2014-01-15 | 浙江工商大学 | Electrical fire detection system and method based on electronic nose system |
| CN105975991A (en) * | 2016-05-18 | 2016-09-28 | 浙江工业大学 | Improved fire type identification method of extreme learning machine |
| CN205809640U (en) * | 2016-07-20 | 2016-12-14 | 武汉东湖学院 | A kind of fire extinguishing intelligence control system |
| CN206964946U (en) * | 2017-04-19 | 2018-02-06 | 李振风 | The fire plant of building fire protection facility barrier monitoring device and its composition |
| CN207624128U (en) * | 2017-12-14 | 2018-07-17 | 中国船舶重工集团公司第七一0研究所 | A kind of vehicle-mounted dedicated miniaturized intelligent the monitoring system of fire protection |
| CN109064050A (en) * | 2018-08-17 | 2018-12-21 | 公安部沈阳消防研究所 | Multiple linear regression Fire risk assessment method based on big data |
| CN109523759A (en) * | 2018-11-22 | 2019-03-26 | 广州大学 | A kind of intelligent fire-proofing monitoring system and method for logistics warehouse |
| CN209015360U (en) * | 2018-11-29 | 2019-06-21 | 李伟 | A kind of forestry fire monitoring equipment |
| CN109523760A (en) * | 2019-01-14 | 2019-03-26 | 上海瑞眼科技有限公司 | A kind of intelligent fire alarm system and method based on cloud |
| CN109887221A (en) * | 2019-03-13 | 2019-06-14 | 杭州图析同创科技有限公司 | A kind of fire disaster intelligently detection system and its control method |
| CN109993941A (en) * | 2019-03-20 | 2019-07-09 | 合肥名德光电科技股份有限公司 | Thermal imaging fire alarm system and its image processing method based on artificial intelligence |
Non-Patent Citations (1)
| Title |
|---|
| 杜渂 等: "基于特征加权FCM 算法的消防火灾等级研究", 《网络安全技术与应用》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111754715A (en) * | 2020-06-15 | 2020-10-09 | 珠海格力电器股份有限公司 | Fire-fighting emergency response method, device and system |
| CN111754715B (en) * | 2020-06-15 | 2021-11-02 | 珠海格力电器股份有限公司 | Fire-fighting emergency response method, device and system |
| CN112330163A (en) * | 2020-11-09 | 2021-02-05 | 北京元心科技有限公司 | Task allocation method, system, electronic device and computer readable storage medium |
| CN112712662A (en) * | 2020-12-21 | 2021-04-27 | 武汉天宫北斗科技有限公司 | Remote sensing environment disaster monitoring and warning system |
| CN114792465A (en) * | 2022-04-14 | 2022-07-26 | 广东永耀消防机电工程有限公司 | Fire safety monitoring system based on regional alarm model |
| CN114792465B (en) * | 2022-04-14 | 2023-03-24 | 广东永耀消防机电工程有限公司 | Fire safety monitoring system based on regional alarm model |
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