CN109461108A - A kind of Intelligent treatment Urban Fires system and method - Google Patents
A kind of Intelligent treatment Urban Fires system and method Download PDFInfo
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- CN109461108A CN109461108A CN201811408945.1A CN201811408945A CN109461108A CN 109461108 A CN109461108 A CN 109461108A CN 201811408945 A CN201811408945 A CN 201811408945A CN 109461108 A CN109461108 A CN 109461108A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The present invention relates to a kind of Intelligent treatment Urban Fires system and methods, and the system comprises at least one client, control terminal and processing ends, and client obtains fire information, and fire information is sent to control terminal；Control terminal receives fire information, pre-processes to fire information, and after authenticity and allocability by judging fire information, formulates fire processing prediction scheme and is sent to processing end；After processing end receives fire processing prediction scheme, prediction scheme is handled according to fire, rescue unit is assigned to handle fire.The present invention first passes through pretreatment and carries out cleaning junk information, identification information content and re-scheduling to the fire information reported, reduces system to the processing pressure of data；Then by judging to determine the authenticity of fire information and can have distribution task；Then prediction scheme is handled by formulating fire, and is minimized loss fastest to up to road prediction scheme so that rescue personnel rushes to scene of fire in time and rescues for the planning of the vehicle of rescue unit.
Description
Technical field
The present invention relates to Urban Fires rescue field more particularly to a kind of Intelligent treatment Urban Fires system and methods.
Background technique
Fire to mankind's bring disaster and loss be it is heavy, improve fire rescue efficiency undoubtedly to save life, subtract
Few loss is of great significance.Currently, when a fire, rescue unit can only be existing by local masses' telephone call, fire
The modes such as the alarm equipment alarm of field learn kindling place, go to scene of fire to be rescued before then sending breakdown lorry.
However, there are many insufficient places for this rescue mode, such as:
1, rescue unit can not differentiate the true and false to warning message；
2, the fire condition obtained by personal alarm is limited, can not be according to the effective rescue method of fire condition tissue；
3, since urban transportation compares blocking, cause breakdown lorry that cannot rush in time scene of fire and rescued.
Summary of the invention
The present invention to solve the above-mentioned problems, proposes a kind of Intelligent treatment Urban Fires system and method.
In a first aspect, the present invention provides a kind of Intelligent treatment Urban Fires system, including at least one client, control
End and processing end, client obtains fire information, and the fire information is sent to control terminal；Control terminal receives the fire
Information pre-processes the fire information, and after authenticity and allocability by judging the fire information, formulates
Fire processing prediction scheme is sent to processing end；After processing end receives the fire processing prediction scheme, prediction scheme is handled according to the fire and is referred to
Rescue unit is sent to handle fire.
Preferably, it includes taking pictures, recording video, voice, text and GPS positioning letter that the client, which obtains the fire information,
One or more of breath.
It is preferably, described that the fire information is pre-processed, specifically: by the received fire information and rubbish
Information bank compares, and after cleaning falseness, junk information, and the fire information after cleaning is stored into control terminal large database concept
In；And the content topic by the fire information after being cleaned described in neural network recognization, the classification；And by described
Fire information after identification carries out the comprehensive identification of theme, place and time, and duplicate fire information is merged and deleted.
Preferably, the authenticity and allocability by judging the fire information, specifically: to the fire after re-scheduling
The confidence level of calamity information is analyzed, and is sent to other clients and is carried out assistance judgement；When the confidence level of the fire information
When scoring can reach trust threshold, the fire information is directly carried out judging whether to need the task of distributing；When the fire is believed
When breath does not need to be allocated task, by fire information filing into control terminal filing database；When the fire information
When needing to be allocated task, fire is formulated according to the fire information and handles prediction scheme.
Preferably, the control terminal can establish personal degree of belief integral system in judging fire information decision process, when
When determining that the fire information is deceptive information, control terminal will deduct the personal degree of belief product of the fire information report of user
Point, when integral is lower than predetermined threshold, control terminal no longer receives the information of the reporting of user；When determining that the fire information is
When real information, control terminal integrates the personal degree of belief for giving the user.
Preferably, the formulation fire handles prediction scheme, specifically: when the fire information identification for receiving distribution task is classified as
Away from urban district farther out, when no one was injured, generation module is according to fire place, the nearest fire brigade of detection range fire place；Or
Person when the fire information identification for receiving distribution task be classified as away from urban district farther out, have some casualties when, generation module is according to fire
Place, detection range fire place nearest fire brigade and hospital；Or when the fire information for receiving distribution task identifies classification
For away from urban district is relatively close, no one was injured when, generation module according to fire place, the nearest fire brigade of detection range fire place and
Public security bureau；Or when the fire information identification for receiving distribution task be classified as it is relatively close away from urban district, have some casualties when, generation module
According to fire place, the nearest fire brigade of detection range fire place, hospital and public security bureau.
Preferably, the formulation fire handles prediction scheme, also specifically: is believed according to rescue unit location information and fire place
Breath generates one fastest to the route for reaching fire place for rescue unit vehicle.
Preferably, the processing end is specifically used for: when the prediction scheme that control terminal generates only transfers fire brigade, processing end notice
Fire brigade is by route reducing internal heat calamity place in the prediction scheme of control terminal generation；Or when the prediction scheme that control terminal generates transfers fire brigade and doctor
When institute, processing end notifies fire brigade and hospital by route reducing internal heat calamity place in the prediction scheme of control terminal generation；Or when control terminal is raw
At prediction scheme transfer fire brigade and when public security bureau, route progress control in the prediction scheme that processing end notice public security bureau generates control terminal
With evacuation scene of fire crowd, and notify fire brigade by control terminal generate prediction scheme in route reducing internal heat calamity place；Or when control
The prediction scheme that end generates transfers fire brigade, hospital and when public security bureau, the prediction scheme Road that processing end notice public security bureau generates control terminal
Line carries out control and evacuation scene of fire crowd, and fire brigade and hospital is notified to press route reducing internal heat calamity in the prediction scheme that control terminal generates
Place.
Preferably, while the processing end is also used to that rescue unit is notified to handle fire, notice control terminal shows fire
Treatment process；For fire processing result to be fed back to control terminal；The control terminal is also used to show fire situation of change and rescues
Help dynamic processes；For the processing result to be fed back to client.
Second aspect, the present invention provides a kind of Intelligent treatment Urban Fires methods, comprising: client obtains fire letter
Breath, and the fire information is sent to control terminal；Control terminal receives the fire information, is located in advance to the fire information
Reason, and after authenticity and allocability by judging the fire information, it formulates fire processing prediction scheme and is sent to processing end；Place
After managing the end reception fire processing prediction scheme, prediction scheme is handled according to the fire, rescue unit is assigned to handle fire.
The present invention first passes through pretreatment and carries out cleaning junk information, identification information content and row to the fire information reported
Weight reduces system to the processing pressure of data；Then by judging to determine the authenticity of fire information and can have distribution task
Property；Then prediction scheme is handled by formulating fire, and is the planning of the vehicle of rescue unit fastest to road prediction scheme is reached, so that rescue personnel
It rushes to scene of fire in time to be rescued, loss is minimized.Meanwhile control terminal 20 reports fire situation of change at any time, together
When detect network public-opinion, allow user to understand the damaed cordition of current fire, public opinion avoided negatively to change.
Detailed description of the invention
Fig. 1 is the structural block diagram of Intelligent treatment Urban Fires system provided in an embodiment of the present invention；
Fig. 2 is the configuration diagram of Intelligent treatment Urban Fires system provided in an embodiment of the present invention；
Fig. 3 is the flow chart of Intelligent treatment Urban Fires method provided in an embodiment of the present invention；
Fig. 4 is the flow chart of Intelligent treatment Urban Fires system provided in an embodiment of the present invention.
Specific embodiment
To make the technical solution of the embodiment of the present invention and becoming apparent from for advantage expression, below by drawings and examples,
Technical scheme of the present invention will be described in further detail.
Fig. 1 is the structural block diagram of Intelligent treatment Urban Fires system provided in an embodiment of the present invention.
As shown in Figure 1, one aspect of the present invention proposes a kind of Intelligent treatment Urban Fires system, including client 10, city
City wisdom center 20 and processing end 30.
Client 10 collects evidence to fire, and fire information is sent to control terminal 20.
Firstly, city inhabitant find event of fire when, reported by mobile phone, comprising photo, video, voice, text and
The fire informations such as GPS positioning are sent to city intelligent center.
Control terminal 20 receives fire information, pre-processes to fire information, and the authenticity by judging fire information
After allocability, formulates fire processing prediction scheme and be sent to processing end 30.
Specifically, after control terminal 20 receives fire information, first fire information is pre-processed.First by fire information with
Junk information library compares, and after excluding false, junk information, and the fire information after cleaning is stored into control terminal big data
In library；Then the content topic of the fire information after being cleaned by neural network recognization, affiliated classification, such as fire place, people
Member's injures and deaths, burnt area etc., and carry out subject content classification；Finally to after identification fire information carry out theme, place and
The comprehensive identification of time, carries out re-scheduling to fire information, duplicate fire information is deleted.
After pretreatment, control terminal needs to judge the authenticity of fire information and can distribute task.First to the fire after re-scheduling
The confidence level of calamity information is analyzed, and is sent to other clients 10 and is carried out assistance judgement；When the confidence level of fire information is commented
When point can reach trust threshold, fire information is directly carried out judging whether to need the task of distributing；When the confidence level of fire information
When scoring cannot reach trust threshold, fire information is sent to manual operation window and carries out screening, determines the true of event of fire
When reality, then carry out judging whether to need the task of distributing；When artificial screening can't determine the authenticity of event of fire, Bu Nengjin
The distribution of row task, then delete event of fire.After receiving natural fire information, judges whether fire information needs to distribute and appoint
Business, when fire information does not need to be allocated task, by fire information filing into control terminal filing database；When fire is believed
When breath needs to be allocated task, fire is formulated according to fire information and handles prediction scheme.
Wherein, control terminal 20 can establish personal degree of belief integral system, work as determination in judging fire information decision process
When fire information is deceptive information, control terminal 20 integrates the personal degree of belief for deducting fire information report of user, low when integrating
When predetermined threshold, control terminal 20 no longer receives the information of reporting of user；When determining fire information is real information, control terminal
20 integrate the personal degree of belief for giving the user.
After authenticity and allocability by determining fire information, control terminal 20 starts to formulate fire processing prediction scheme.It is first
First, control terminal 20 identification and classification far and near away from urban district, that have the information such as no one was injured to fire, it is pre- to formulate fire rescue
Case.When fire information be identified as away from urban district farther out, no one was injured when, control terminal 20 is according to fire place, detection range fire
The nearest fire brigade in place；Or when institute's fire information be identified as away from urban district farther out, have some casualties when, control terminal 20 is according to fire
Calamity place, detection range fire place nearest fire brigade and hospital；Or when fire information be identified as it is relatively close away from urban district, nobody
When member's injures and deaths, control terminal 20 is according to fire place, detection range fire place nearest fire brigade and public security bureau；Or work as fire
Information be identified as it is relatively close away from urban district, when having some casualties, for control terminal 20 according to fire place, detection range fire place is nearest
Fire brigade, hospital and public security bureau.Finally, control terminal 20 sends the Urban Fires processing prediction scheme of generation by sending port 206
To processing end 30.
Wherein, it after control terminal 20 obtains fire place information, by information bank, finds and rescues apart from fire place is nearest
Help unit.
In addition, the prediction scheme that control terminal 20 is formulated can also be according to rescue unit location information and fire place information, to rescue
It helps unit vehicle and generates one fastest to the route for reaching fire place.
Control terminal can use third party software, such as Amap, Baidu map, by by fire place and rescue unit
Information be sent to third party software, whether third party software unimpeded according to the jam situation and road of present road, for rescue
Car design one is best, fastest to reaching route.
After processing end 30 receives fire processing prediction scheme, prediction scheme is handled according to fire, rescue unit is assigned to handle fire.
Specifically, processing end 30 is according to specified prediction scheme, assign breakdown lorry according to projected route to fire incident scene into
Row processing.When the prediction scheme that control terminal 20 generates only transfers fire brigade, processing end 30 notifies what fire brigade was generated by control terminal 20
Route reducing internal heat calamity place in prediction scheme；Or when the prediction scheme that control terminal 20 generates transfers fire brigade and hospital, processing end 30 is notified
Fire brigade and hospital are by route reducing internal heat calamity place in the prediction scheme of the generation of control terminal 20；Or when the prediction scheme that control terminal 20 generates is transferred
When fire brigade and public security bureau, route carries out control and evacuation fire in the prediction scheme that processing end 30 notifies public security bureau to generate control terminal 20
Calamity scene crowd, and notify fire brigade by route reducing internal heat calamity place in the prediction scheme of the generation of control terminal 20；Or when control terminal 20 is raw
At prediction scheme transfer fire brigade, hospital and when public security bureau, the prediction scheme Road that processing end 30 notifies public security bureau to generate control terminal 20
Line carries out control and evacuation scene of fire crowd, and fire brigade and hospital is notified to press route reducing internal heat in the prediction scheme that control terminal 20 generates
Calamity place.
Wherein, after the rescue route of acquisition fire brigade, public security bureau and hospital, by transferring each crossing in rescue route
Camera learns the jam situation in each section, to the section for comparing congestion, traffic police is sent to restrict driving the section in advance.It is public
Peace office sends someone to remove obstacles to the main trunk road on fire periphery while scene of fire carries out evacuating personnel.To having pulled up
The vehicle at crossing, connection car owner move vehicle out.
In addition, processing end 30 notifies control terminal 20 to show that building 3D image on fire facilitates visual check building structure, shows
Show position, display fire situation of change and rescue dynamic processes, the display public sentiment spread condition of breakdown lorry.
After the completion of event of fire processing, fire processing result is fed back in processing end 30, sends processing result to control
End 20.Control terminal 20 shows that fire burnt area, personnel and situations such as property loss count and responding time rescue number etc.
Disposal efficiency information.
Finally, user integral reward is given to upper journalist, after control terminal 20 receives fire processing result to improve citizen
Event is finally filed to control terminal 20 and is filed in database by sense of participation during Urban Governance.Processing knot is sent simultaneously
Fruit allows user to understand the damaed cordition of current fire, public opinion is avoided negatively to change to client 10.
Control terminal 20 of the invention first passes through pretreatment and carries out cleaning junk information, identification information to the fire information reported
Content and re-scheduling reduce system to the processing pressure of data；Then by judging to determine the authenticity of fire information and can have
Distribution task；Then by formulate fire handle prediction scheme, and for rescue unit vehicle planning fastest to reach road prediction scheme so that
Rescue personnel rushes to scene of fire in time and rescues, and loss is minimized.Meanwhile control terminal 20 reports that fire changes at any time
Situation, while network public-opinion is detected, it allows user to understand the damaed cordition of current fire, public opinion is avoided negatively to change.
Fig. 2 is the configuration diagram of Intelligent treatment Urban Fires system provided in an embodiment of the present invention.As shown in Fig. 2, more
Fire information is sent to control terminal, the authenticity that control terminal passes through pretreatment, judgement information to fire information by a client
After allocability, it is sent to each rescue unit, each rescue unit prediction scheme based on the received goes to fire place to be rescued.
Regardless of in the case of, fire brigade requires that fire place is gone to carry out fire rescue；If scene of fire has some casualties,
Need hospital that scene of fire is gone to rescue the wounded；If fire place is closer apart from downtown, need public security bureau to fire-fighting
The rescue road of team and hospital carries out control, guarantees that breakdown lorry reaches scene of fire in time, if fire place is in city
The heart is distant, then shows that fire periphery personnel are less, there is no need to notify public security bureau.
In conjunction with Fig. 3 and Fig. 4, the invention also provides a kind of Intelligent treatment Urban Fires methods, the specific steps are as follows:
Step S301, client obtains fire information, and fire information is sent to control terminal.
Wherein, client carries out evidence collecting method including taking pictures, recording in video, voice, text and GPS positioning information to fire
One or more.
Specifically, being reported when city inhabitant finds event of fire by mobile phone, including photo, video, voice, text
Control terminal is sent to fire informations such as GPS positionings.
Step S302, control terminal receive fire information, pre-process to fire information, and by judging fire information
After authenticity and allocability, formulates fire processing prediction scheme and be sent to processing end.
Specifically, after control terminal 20 receives fire information, first fire information is pre-processed.First by fire information with
Junk information library compares, and after excluding false, junk information, and the fire information after cleaning is stored into control terminal big data
In library；Then the content topic of the fire information after being cleaned by neural network recognization, affiliated classification, such as fire place, people
Member's injures and deaths, burnt area etc., and carry out subject content classification；Finally to after identification fire information carry out theme, place and
The comprehensive identification of time, carries out re-scheduling to fire information, duplicate fire information is deleted.
After pretreatment, control terminal needs to judge the authenticity of fire information and can distribute task.First to the fire after re-scheduling
The confidence level of calamity information is analyzed, and is sent to other clients 10 and is carried out assistance judgement；When the confidence level of fire information is commented
When point can reach trust threshold, fire information is directly carried out judging whether to need the task of distributing；When the confidence level of fire information
When scoring cannot reach trust threshold, fire information is sent to manual operation window and carries out screening, determines the true of event of fire
When reality, then carry out judging whether to need the task of distributing；When artificial screening can't determine the authenticity of event of fire, Bu Nengjin
The distribution of row task, then delete event of fire.After receiving natural fire information, judges whether fire information needs to distribute and appoint
Business, when fire information does not need to be allocated task, by fire information filing into control terminal filing database；When fire is believed
When breath needs to be allocated task, fire is formulated according to fire information and handles prediction scheme.
Wherein, control terminal 20 can establish personal degree of belief integral system, work as determination in judging fire information decision process
When fire information is deceptive information, control terminal 20 integrates the personal degree of belief for deducting fire information report of user, low when integrating
When predetermined threshold, control terminal 20 no longer receives the information of reporting of user；When determining fire information is real information, control terminal
20 integrate the personal degree of belief for giving the user.
After authenticity and allocability by determining fire information, control terminal 20 starts to formulate fire processing prediction scheme.It is first
First, control terminal 20 identification and classification far and near away from urban district, that have the information such as no one was injured to fire, it is pre- to formulate fire rescue
Case.When fire information be identified as away from urban district farther out, no one was injured when, control terminal 20 is according to fire place, detection range fire
The nearest fire brigade in place；Or when institute's fire information be identified as away from urban district farther out, have some casualties when, control terminal 20 is according to fire
Calamity place, detection range fire place nearest fire brigade and hospital；Or when fire information be identified as it is relatively close away from urban district, nobody
When member's injures and deaths, control terminal 20 is according to fire place, detection range fire place nearest fire brigade and public security bureau；Or work as fire
Information be identified as it is relatively close away from urban district, when having some casualties, for control terminal 20 according to fire place, detection range fire place is nearest
Fire brigade, hospital and public security bureau.Finally, control terminal 20 sends the Urban Fires processing prediction scheme of generation by sending port 206
To processing end 30.
Wherein, it after control terminal 20 obtains fire place information, by information bank, finds and rescues apart from fire place is nearest
Help unit.
In addition, the prediction scheme that control terminal 20 is formulated can also be according to rescue unit location information and fire place information, to rescue
It helps unit vehicle and generates one fastest to the route for reaching fire place.
Control terminal can use third party software, such as Amap, Baidu map, by by fire place and rescue unit
Information be sent to third party software, whether third party software unimpeded according to the jam situation and road of present road, for rescue
Car design one is best, fastest to reaching route.
Step S303 after processing end receives the fire processing prediction scheme, handles prediction scheme according to the fire and assigns rescue single
Position processing fire.
Specifically, processing end 30 is according to specified prediction scheme, assign breakdown lorry according to projected route to fire incident scene into
Row processing.When the prediction scheme that control terminal 20 generates only transfers fire brigade, processing end 30 notifies what fire brigade was generated by control terminal 20
Route reducing internal heat calamity place in prediction scheme；Or when the prediction scheme that control terminal 20 generates transfers fire brigade and hospital, processing end 30 is notified
Fire brigade and hospital are by route reducing internal heat calamity place in the prediction scheme of the generation of control terminal 20；Or when the prediction scheme that control terminal 20 generates is transferred
When fire brigade and public security bureau, route carries out control and evacuation fire in the prediction scheme that processing end 30 notifies public security bureau to generate control terminal 20
Calamity scene crowd, and notify fire brigade by route reducing internal heat calamity place in the prediction scheme of the generation of control terminal 20；Or when control terminal 20 is raw
At prediction scheme transfer fire brigade, hospital and when public security bureau, the prediction scheme Road that processing end 30 notifies public security bureau to generate control terminal 20
Line carries out control and evacuation scene of fire crowd, and fire brigade and hospital is notified to press route reducing internal heat in the prediction scheme that control terminal 20 generates
Calamity place.
Wherein, after the rescue route of acquisition fire brigade, public security bureau and hospital, by transferring each crossing in rescue route
Camera learns the jam situation in each section, to the section for comparing congestion, traffic police is sent to restrict driving the section in advance.It is public
Peace office sends someone to remove obstacles to the main trunk road on fire periphery while scene of fire carries out evacuating personnel.To having pulled up
The vehicle at crossing, connection car owner move vehicle out.
In addition, processing end 30 notifies control terminal 20 to show that building 3D image on fire facilitates visual check building structure, shows
Show position, display fire situation of change and rescue dynamic processes, the display public sentiment spread condition of breakdown lorry.
After the completion of event of fire processing, fire processing result is fed back in processing end 30, sends processing result to control
End 20.Control terminal 20 shows that fire burnt area, personnel and situations such as property loss count and responding time rescue number etc.
Disposal efficiency information.
Finally, user integral reward is given to upper journalist, after control terminal 20 receives fire processing result to improve citizen
Event is finally filed to control terminal 20 and is filed in database by sense of participation during Urban Governance.Processing knot is sent simultaneously
Fruit allows user to understand the damaed cordition of current fire, public opinion is avoided negatively to change to client 10.
The present invention carries out cleaning rubbish to the fire information reported by a kind of Intelligent treatment Urban Fires method, by realizing
Rubbish information, identification information content and re-scheduling reduce system to the processing pressure of data；Then determine fire information authenticity and
There can be distribution task；Then it formulates fire and handles prediction scheme, and be the planning of the vehicle of rescue unit fastest to road prediction scheme is reached, make
Rescue personnel rushes to scene of fire in time and rescues, loss is minimized.Meanwhile control terminal reports that fire changes at any time
Situation, while network public-opinion is detected, it allows user to understand the damaed cordition of current fire, public opinion is avoided negatively to change.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of Intelligent treatment Urban Fires system, which is characterized in that including at least one client, control terminal and processing end,
Client obtains fire information, and the fire information is sent to control terminal；
Control terminal receives the fire information, pre-processes to the fire information, and by judging the fire information
After authenticity and allocability, formulates fire processing prediction scheme and be sent to processing end；
After processing end receives the fire processing prediction scheme, prediction scheme is handled according to the fire, rescue unit is assigned to handle fire.
2. Intelligent treatment Urban Fires system according to claim 1, which is characterized in that the client obtains the fire
Calamity information includes one or more of taking pictures, recording video, voice, text and GPS positioning information.
3. Intelligent treatment Urban Fires system according to claim 1, which is characterized in that it is described to the fire information into
Row pretreatment, specifically:
The received fire information is compared with junk information library, after cleaning falseness, junk information, and will be after cleaning
Fire information is stored into control terminal large database concept；And
Pass through the content topic of the fire information after cleaning described in neural network recognization, the classification；And
It is identified by carrying out the comprehensive of theme, place and time to the fire information after the identification, by duplicate fire information
It merges and deletes.
4. Intelligent treatment Urban Fires system according to claim 1, which is characterized in that described by judging the fire
The authenticity and allocability of information, specifically:
The confidence level of fire information after re-scheduling is analyzed, and is sent to other clients and carries out assistance judgement；When described
When the confidence score of fire information can reach trust threshold, the fire information is directly carried out to judge whether to need to distribute to appoint
Business；
When the fire information does not need to be allocated task, fire information filing is filed into database to control terminal
In；When the fire information needs to be allocated task, fire is formulated according to the fire information and handles prediction scheme.
5. Intelligent treatment Urban Fires system according to claim 1, which is characterized in that the control terminal is judging fire
In information decision process, personal degree of belief integral system, when determining the fire information is deceptive information, control terminal can be established
The personal degree of belief integral of the fire information report of user will be deducted, when integral is lower than predetermined threshold, control terminal is no longer connect
By the information of the reporting of user；When determining the fire information is real information, control terminal will give of the user
People's degree of belief integral.
6. Intelligent treatment Urban Fires system according to claim 1, which is characterized in that the formulation fire processing is pre-
Case, specifically:
When the fire information identification for receiving distribution task be classified as away from urban district farther out, no one was injured when, generation module is according to fire
Calamity place, the nearest fire brigade of detection range fire place；Or
When the fire information identification for receiving distribution task be classified as away from urban district farther out, have some casualties when, generation module is according to fire
Calamity place, detection range fire place nearest fire brigade and hospital；Or
When the fire information identification for receiving distribution task be classified as away from urban district is relatively close, no one was injured when, generation module is according to fire
Calamity place, detection range fire place nearest fire brigade and public security bureau；Or
When the fire information identification for receiving distribution task be classified as it is relatively close away from urban district, have some casualties when, generation module is according to fire
Calamity place, the nearest fire brigade of detection range fire place, hospital and public security bureau.
7. Intelligent treatment Urban Fires system according to claim 1, which is characterized in that the formulation fire processing is pre-
Case, also specifically:
According to rescue unit location information and fire place information, one is generated fastest to reaching fire place for rescue unit vehicle
Route.
8. Intelligent treatment Urban Fires system according to claim 6 or 7, which is characterized in that specifically use the processing end
In:
When the prediction scheme that control terminal generates only transfers fire brigade, processing end notifies fire brigade by route in the prediction scheme of control terminal generation
Go fire place；Or
When the prediction scheme that control terminal generates transfers fire brigade and hospital, processing end notifies what fire brigade and hospital were generated by control terminal
Route reducing internal heat calamity place in prediction scheme；Or
When the prediction scheme that the prediction scheme that control terminal generates transfers fire brigade and when public security bureau, and processing end notice public security bureau generates control terminal
Middle route progress control and evacuation scene of fire crowd, and notify fire brigade by route reducing internal heat calamity in the prediction scheme of control terminal generation
Point；Or
When the prediction scheme that control terminal generates transfers fire brigade, hospital and public security bureau, processing end notifies public security bureau to generate control terminal
Prediction scheme in the route prediction scheme that carries out control and evacuation scene of fire crowd, and fire brigade and hospital is notified to generate by control terminal
Route goes fire place.
9. Intelligent treatment Urban Fires system according to claim 1, which is characterized in that the processing end is also used to notify
While rescue unit handles fire, notice control terminal shows fire treatment process；For fire processing result to be fed back to control
End processed；
The control terminal is also used to show fire situation of change and rescue dynamic processes；For the processing result to be fed back
To client.
10. a kind of Intelligent treatment Urban Fires method characterized by comprising
Client obtains fire information, and the fire information is sent to control terminal；
Control terminal receives the fire information, pre-processes to the fire information, and by judging the fire information
After authenticity and allocability, formulates fire processing prediction scheme and be sent to processing end；
After processing end receives the fire processing prediction scheme, prediction scheme is handled according to the fire, rescue unit is assigned to handle fire.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811408945.1A CN109461108A (en) | 2018-11-23 | 2018-11-23 | A kind of Intelligent treatment Urban Fires system and method |
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| CN201811408945.1A CN109461108A (en) | 2018-11-23 | 2018-11-23 | A kind of Intelligent treatment Urban Fires system and method |
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| CN201811408945.1A Pending CN109461108A (en) | 2018-11-23 | 2018-11-23 | A kind of Intelligent treatment Urban Fires system and method |
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| Country | Link |
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