CN107510914A - A kind of wisdom fire-fighting remote monitoring system and its method towards garden - Google Patents
A kind of wisdom fire-fighting remote monitoring system and its method towards garden Download PDFInfo
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- CN107510914A CN107510914A CN201710718437.2A CN201710718437A CN107510914A CN 107510914 A CN107510914 A CN 107510914A CN 201710718437 A CN201710718437 A CN 201710718437A CN 107510914 A CN107510914 A CN 107510914A
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
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Abstract
The invention discloses a kind of wisdom fire-fighting remote monitoring system and its method towards garden, wherein, the system includes：Sensing layer, it is used for obtaining scene of fire information, responding fire fighter information and fire-fighting vehicle information whenever and wherever possible；And Internet, it connects sensing layer and application layer, it receives the next information of sensing layer transmission and comprehensive near radio transmission, remote radio communication transmission and the Internet transmission so that short distance and remote transmission slitless connection, reliable guarantee is provided for the information gathering in garden and transmission；And application layer, it includes Intelligent fire-fighting aid decision subsystem, the Intelligent fire-fighting aid decision subsystem be used for according to Internet transmission come information combination expert reasoning algorithm predict fire spreading direction, scope and speed, fire extinguishing place and fire fighter's quantity are arranged further according to prediction result, fire-fighting resource optimal scheduling scheme is generated, reliable basis are provided for commander's decision-making.
Description
Technical field
The invention belongs to fire remote-monitoring field, more particularly to a kind of wisdom fire-fighting remote monitoring system towards garden
And its method.
Background technology
There is monitoring and administrative vulnerability in existing fire remote-monitoring system, the fire information as caused by human factor is leaked
Report, late report, warning device failure happens occasionally, and system lack of wisdom, real-time and scalability, especially for thing
Some regions such as garden, community are flowed, fire fighting monitoring blind spot be present, are hidden fire-fighting danger places.The present invention is intended to provide it is applied to this
The long-range fire fighting monitoring platform of class garden, community's wisdom, can pinpoint the problems quick response in real time, and intelligence aids in fire-fighting decision-making and adjusted
Fire fighting truck in garden is spent, the security against fire to ensure in region plays an important roll.
At present, the fire remote-monitoring system of certain applications successfully puts out a lot of initial fire disasters, prevents malignant fire
Accident occurs, but existing system still has problems in application process：
(1) business datum is decentralized, independent, incompatible.Due to operation system data separating, practical application is caused to produce
More information islands, because producer's difference causes information incompatible, it is impossible to played a supporting role for decision-making.
(2) without effective decision analytic model.Data accumulation, information increase, the value of data is not due to being had
The exploitation of effect, it is difficult to the guarantee of decision support is formed, often form is different for model library, database or the rule base of data storage,
It is difficult to form comprehensive, complete data structure.
(3) adaptability of decision model is not strong.Fire-fighting domain decision support research be in initial stage, without ripe system or
Analysis model, the DSS developed are fitted because the change of demand is unsuitable for real work to customer demand change
Answering property is not strong.
The content of the invention
In order to solve the deficiencies in the prior art, it is remote that the first object of the present invention is to provide a kind of wisdom fire-fighting towards garden
Range monitoring system, it can shorten decision support life cycle, quick response customer demand.
The wisdom fire-fighting remote monitoring system towards garden of the present invention, including：
Sensing layer, it is used for obtaining scene of fire information, responding fire fighter information and fire-fighting vehicle information whenever and wherever possible；
And
Internet, it connects sensing layer and application layer, and it receives the information that sensing layer transmission comes and comprehensive near radio
Transmission, remote radio communication transmission and the Internet transmission so that short distance and remote transmission slitless connection, be the information in garden
Collection and transmission provide reliable guarantee；And
Application layer, it includes Intelligent fire-fighting aid decision subsystem, and the Intelligent fire-fighting aid decision subsystem is used for root
Fire spreading direction, scope and speed are predicted according to the next information combination expert reasoning algorithm of Internet transmission, further according to prediction
As a result arrange fire extinguishing place and fire fighter's quantity, generate fire-fighting resource optimal scheduling scheme, being provided for commander's decision-making can
By foundation.
Further, the sensing layer includes scene of fire monitor terminal, and it is used to obtain scene of fire information；And
Responding fire fighter's monitor terminal, it is used to obtain responding fire fighter's information；And
Car-mounted terminal, it is used to obtain fire-fighting vehicle information.
Wherein, scene of fire information includes scene of fire gas componant and video information；
Responding fire fighter's packet includes the numbering and quantity of alert fire fighter；
Fire-fighting vehicle information includes type of vehicle, current location information, velocity information and the vehicle-mounted water of monitoring of fire-fighting vehicle
Case liquid level information.
Further, the Internet includes cloud computing platform, and the cloud computing platform takes with mobile communication network respectively
Business device, Internet Server and network management center's server are in communication with each other.
The present invention realizes focusing on for big data using cloud computing platform.
Further, the application layer also includes automatic fire alarm equipment subsystem, and it, which is used to work as, receives Internet
When transmitting the scene of fire information come, automatic alarm simultaneously prompts corresponding personnel.
Further, the application layer also includes fire-fighting vehicle management subsystem, and it is used for basis and receives Internet institute
The fire-fighting vehicle information that transmission comes, in conjunction with the transport information of the garden affiliated area of its real-time reception, generation fire-fighting vehicle is most
Good route scheme.
Further, the Intelligent fire-fighting aid decision subsystem include knowledge base, inference machine, rule base, case library and
Database；
Knowledge base, it is responsible for generation and meets rule needed for rule base, and is sent to rule base；The rule base is used for phase
Rule is answered to be stored；
Inference machine, it is used to search out rule base and the data in case library, and is matched according to corresponding calculation
Calculate estimation result and store to database；
Case library is used to dynamically change estimation result according to the case data of its memory storage.
The second object of the present invention is to provide a kind of monitoring method of the wisdom fire-fighting remote monitoring system towards garden.
The monitoring method of the wisdom fire-fighting remote monitoring system towards garden of the present invention, including：
Sensing layer obtains scene of fire information, responding fire fighter information and fire-fighting vehicle information whenever and wherever possible, and transmits
To Internet；
Internet reception sensing layer transmits next information and comprehensive near radio transmits, remote radio communication transmits and mutual
Networking transport so that short distance and remote transmission slitless connection, reliable guarantee is provided for the information gathering in garden and transmission；
Intelligent fire-fighting aid decision subsystem in application layer according to Internet transmission come information combination expert reasoning calculate
Method predicts fire spreading direction, scope and speed, and fire extinguishing place and fire fighter quantity are arranged further according to prediction result, raw
Into fire-fighting resource optimal scheduling scheme, reliable basis are provided for commander's decision-making.
Further, the expert reasoning algorithm is based on Research of Decision Tree Learning.
Further, the Intelligent fire-fighting aid decision subsystem in application layer according to Internet transmission come information combine it is special
Family's reasoning algorithm includes come the detailed process predicted：
Knowledge base is responsible for generation and meets rule needed for rule base, and is sent to rule base and is stored；
Inference machine searches out rule base and the data in case library, and carries out matching primitives according to corresponding calculation and go out to push away
Survey result and store to database；
Case library dynamically changes estimation result according to the case data of its memory storage.
Further, inference machine is matched according to corresponding calculation, is divided into both of which：
A kind of is the decision information and case matched according to characteristic attribute collection in case library；One kind is by event
Study is re-started after pretreatment, reasoning, is concluded, new rule decision information is summed up and stores into knowledge base.
Compared with prior art, the beneficial effects of the invention are as follows：
(1) a kind of wisdom fire-fighting remote monitoring system towards garden of the invention, the data based on existing business system
Relational model, form database model that is unified, complete, being adapted with demand；
(2) a kind of wisdom fire-fighting remote monitoring system towards garden of the invention, with Intelligent fire-fighting aid decision subsystem
System designs rule base and converting algorithm based on fire-fighting logic, lifting accuracy of determination, rapidity using demand to be oriented to；Lifting
The adaptability of decision support template, shorten decision support life cycle, quick response customer demand；
(3) a kind of wisdom fire-fighting remote monitoring system towards garden of the invention, sensing layer obtain fire whenever and wherever possible
Field data, responding fire fighter information and fire-fighting vehicle information, and Internet is sent to, supported for fire-fighting decision-making.
Brief description of the drawings
The Figure of description for forming the part of the application is used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its illustrate be used for explain the application, do not form the improper restriction to the application.
Fig. 1 is a kind of wisdom fire-fighting remote monitoring system structural representation towards garden of the present invention；
Fig. 2 is Intelligent fire-fighting aid decision subsystem structure frame diagram.
Embodiment
It is noted that described further below is all exemplary, it is intended to provides further instruction to the application.It is unless another
Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in this manual using term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
Fig. 1 is a kind of wisdom fire-fighting remote monitoring system structural representation towards garden of the present invention.
As shown in figure 1, the wisdom fire-fighting remote monitoring system towards garden of the present invention, including：
(1) sensing layer, it is used for obtaining scene of fire information, responding fire fighter information and fire-fighting vehicle letter whenever and wherever possible
Breath.
Wherein, the sensing layer includes scene of fire monitor terminal, and it is used to obtain scene of fire information；And
Responding fire fighter's monitor terminal, it is used to obtain responding fire fighter's information；And
Car-mounted terminal, it is used to obtain fire-fighting vehicle information.
Scene of fire information includes scene of fire gas componant and video information；
Responding fire fighter's packet includes the numbering and quantity of alert fire fighter；
Fire-fighting vehicle information includes type of vehicle, current location information, velocity information and the vehicle-mounted water of monitoring of fire-fighting vehicle
Case liquid level information.
(2) Internet, it connects sensing layer and application layer, its receive the information that sensing layer transmission comes and it is comprehensive closely without
Line transmission, remote radio communication transmission and the Internet transmission so that short distance and remote transmission slitless connection, be the letter in garden
Breath collection and transmission provide reliable guarantee.
Wherein, the Internet includes cloud computing platform, the cloud computing platform respectively with mobile communication network server,
Internet Server and network management center's server are in communication with each other.
The present invention realizes focusing on for big data using cloud computing platform.
(3) application layer, it includes Intelligent fire-fighting aid decision subsystem, and the Intelligent fire-fighting aid decision subsystem is used for
According to Internet transmission come information combination expert reasoning algorithm predict fire spreading direction, scope and speed, further according to pre-
Result is surveyed to arrange fire extinguishing place and fire fighter's quantity, fire-fighting resource optimal scheduling scheme is generated, is provided for commander's decision-making
Reliable basis.
Application layer realizes, overall process information-based clothes comprehensive to fire-fighting vehicle intelligent scheduling, disaster relief scene, posterior maintenance etc.
Business, provide the support such as vehicle monitoring, intelligent scheduling, contingency management, decision support, integrated management for commander side, it is ensured that fire-fighting
Journey is quick, accurate, reliable, realizes the intelligent management of fire-fighting scheduling of resource.
Specifically, the application layer also includes automatic fire alarm equipment subsystem, and it, which is used to work as, receives Internet institute
During the scene of fire information that transmission comes, automatic alarm simultaneously prompts corresponding personnel.
Specifically, the application layer also includes fire-fighting vehicle management subsystem, and it is used to be passed according to receiving Internet
The fire-fighting vehicle information sent, it is optimal in conjunction with the transport information of the garden affiliated area of its real-time reception, generation fire-fighting vehicle
Route scheme.
As shown in figure 1, application layer is except including Intelligent fire-fighting aid decision subsystem, automatic fire alarm equipment subsystem
Managed with fire-fighting vehicle outside subsystem, in addition to fire fighting supply Monitor And Control Subsystem, electrical fire monitoring subsystem and video prison
Subsystem is controlled to be used for monitoring fire fighting supply information, electrical fire information and scene of fire video information respectively.
Specifically, the Intelligent fire-fighting aid decision subsystem includes knowledge base, inference machine, rule base, case library and number
According to storehouse；
Knowledge base, it is responsible for generation and meets rule needed for rule base, and is sent to rule base；The rule base is used for phase
Rule is answered to be stored；
Inference machine, it is used to search out rule base and the data in case library, and is matched according to corresponding calculation
Calculate estimation result and store to database；
Case library is used to dynamically change estimation result according to the case data of its memory storage.
Specifically, (1) inference machine, it is true the problem of by with being stored in working storage and be stored in knowledge base
Rule combines, and establishes inference pattern, inferential information, is calculated in decision support processes according to the informix of acquisition with decision tree
Method, commanded, dispatched, resource distribution, exporting optimal result；Inference machine is substantially according to the event information case similar with storage
Example decision information, with fuzzy algorithmic approach and characteristic matching, draw the process of auxiliary regular decision information.
(2) knowledge base, expertise storage model is established with certain rule, knowledge include signal message, facility information,
The expert's domain knowledge set such as inference rule, reasoning algorithm, decision information, for carrying out Decision Inference, by calculate fire or
All kinds of accident development trends, and realization and prediction scheme, water source, strength Seamless integration- on duty, decision-making branch is provided for DSS
Support；
(3) rule base, case library and database are stored into memory, memory be used for store gathered data information,
Case information and method or Rule Information etc. are gone out by rule-based reasoning, memory management, which is safeguarded, includes information increase, structuring is expressed,
Retrieval, edition function, structuring expression is according to convenient storage, the principle design of convenient search.Storage content includes three aspects
Content：Fire basic condition, rescue situations and combat experience.For garden fire fire-fighting knowledge, specifically include place on fire, when
Between, classification and incident building structure, neighbouring water source information, factory building storage article information, in addition to alarm corresponding time, rescue feelings
Condition, rescue tactics, evacuation personnel situation, rescue situations, rescue effect etc., in addition to the processing of statistical analysis, fire responsibility,
The information such as fire fire-fighting experience, fire damage and casualties situation.
As shown in Fig. 2 Intelligent fire-fighting aid decision subsystem also includes interaction process module, it is used for backer's machine information
Interaction, it is the initial interface of information exchange.
Specifically, reasoning process is：
The inference machine of Intelligent fire-fighting aid decision subsystem is divided into input layer, reasoning layer, output layer.Input layer input perceives
The Various types of data information come on layer module transfer is cleaned, classified and pushed to reasoning layer, reasoning layer by with decision tree,
Fuzzy algorithmic approach and Logical processing unit carry out computing, matching and self study, and output layer provides the best decision inferred.The module
Automatically analyzed, adopted by digitizing secondary data by realizations such as smart machine communication interface technology, data mining, Fuzzy Calculations
With means such as cluster analysis, classification analysis, association analysis, potential logical relation is disclosed from NOT logic relation.
The specific steps of reasoning：Data set is chosen, Property element is carried out using decision-making tree theory, is entered using fuzzy set theory
Line discipline is concluded, and obtained candidate rule collection and characteristic attributes weight are put into inference machine reasoning, form rule set extraction.
A kind of wisdom fire-fighting remote monitoring system towards garden of the present invention, the data relationship based on existing business system
Model, form database model that is unified, complete, being adapted with demand；
The present invention a kind of wisdom fire-fighting remote monitoring system towards garden, with Intelligent fire-fighting aid decision subsystem with
Demand designs rule base and converting algorithm based on fire-fighting logic, lifting accuracy of determination, rapidity to be oriented to；Lift decision-making
The adaptability of support model, shorten decision support life cycle, quick response customer demand；
A kind of wisdom fire-fighting remote monitoring system towards garden of the present invention, sensing layer obtain scene of fire whenever and wherever possible
Information, responding fire fighter information and fire-fighting vehicle information, and Internet is sent to, supported for fire-fighting decision-making.
Present invention also offers a kind of monitoring method of the wisdom fire-fighting remote monitoring system towards garden.
The monitoring method of the wisdom fire-fighting remote monitoring system towards garden of the present invention, including：
Sensing layer obtains scene of fire information, responding fire fighter information and fire-fighting vehicle information whenever and wherever possible, and transmits
To Internet；
Internet reception sensing layer transmits next information and comprehensive near radio transmits, remote radio communication transmits and mutual
Networking transport so that short distance and remote transmission slitless connection, reliable guarantee is provided for the information gathering in garden and transmission；
Intelligent fire-fighting aid decision subsystem in application layer according to Internet transmission come information combination expert reasoning calculate
Method predicts fire spreading direction, scope and speed, and fire extinguishing place and fire fighter quantity are arranged further according to prediction result, raw
Into fire-fighting resource optimal scheduling scheme, reliable basis are provided for commander's decision-making.
Wherein, the expert reasoning algorithm is based on Research of Decision Tree Learning.
Specifically, the Intelligent fire-fighting aid decision subsystem in application layer according to Internet transmission come information combination expert
Reasoning algorithm includes come the detailed process predicted：
Knowledge base is responsible for generation and meets rule needed for rule base, and is sent to rule base and is stored；
Inference machine searches out rule base and the data in case library, and carries out matching primitives according to corresponding calculation and go out to push away
Survey result and store to database；
Case library dynamically changes estimation result according to the case data of its memory storage.
Specifically, inference machine is matched according to corresponding calculation, is divided into both of which：
A kind of is the decision information and case matched according to characteristic attribute collection in case library；One kind is by event
Study is re-started after pretreatment, reasoning, is concluded, new rule decision information is summed up and stores into knowledge base.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, model not is protected to the present invention
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deformation that creative work can make still within protection scope of the present invention.
Claims (10)
- A kind of 1. wisdom fire-fighting remote monitoring system towards garden, it is characterised in that including：Sensing layer, it is used for obtaining scene of fire information, responding fire fighter information and fire-fighting vehicle information whenever and wherever possible；AndInternet, it connects sensing layer and application layer, its receive the information that sensing layer transmission comes and comprehensive near radio transmission, Remote radio communication transmits and the Internet transmission so that short distance and remote transmission slitless connection, is the information gathering in garden And send and reliable guarantee is provided；AndApplication layer, it includes Intelligent fire-fighting aid decision subsystem, and the Intelligent fire-fighting aid decision subsystem is used for according to net Network layers transmit next information combination expert reasoning algorithm to predict fire spreading direction, scope and speed, further according to prediction result To arrange fire extinguishing place and fire fighter's quantity, generate fire-fighting resource optimal scheduling scheme, for commander's decision-making provide reliably according to According to.
- A kind of 2. wisdom fire-fighting remote monitoring system towards garden as claimed in claim 1, it is characterised in that the perception Layer includes scene of fire monitor terminal, and it is used to obtain scene of fire information；AndResponding fire fighter's monitor terminal, it is used to obtain responding fire fighter's information；AndCar-mounted terminal, it is used to obtain fire-fighting vehicle information.
- A kind of 3. wisdom fire-fighting remote monitoring system towards garden as claimed in claim 1, it is characterised in that the network Layer includes cloud computing platform, the cloud computing platform respectively with mobile communication network server, Internet Server and webmaster Central server is in communication with each other.
- A kind of 4. wisdom fire-fighting remote monitoring system towards garden as claimed in claim 1, it is characterised in that the application Layer also includes automatic fire alarm equipment subsystem, and it is used for when receiving the scene of fire information that Internet transmits, Automatic alarm simultaneously prompts corresponding personnel.
- A kind of 5. wisdom fire-fighting remote monitoring system towards garden as claimed in claim 1, it is characterised in that the application Layer also includes fire-fighting vehicle management subsystem, its be used for according to receive Internet transmit come fire-fighting vehicle information, then tie The transport information of the garden affiliated area of its real-time reception is closed, generates fire-fighting vehicle optimal path scheme.
- A kind of 6. wisdom fire-fighting remote monitoring system towards garden as claimed in claim 1, it is characterised in that the fire-fighting Intelligence aided decision subsystem includes knowledge base, inference machine, rule base, case library and database；Knowledge base, it is responsible for generation and meets rule needed for rule base, and is sent to rule base；The rule base is used for corresponding rule Then stored；Inference machine, it is used to search out rule base and the data in case library, and carries out matching primitives according to corresponding calculation Go out estimation result and store to database；Case library is used to dynamically change estimation result according to the case data of its memory storage.
- A kind of 7. monitoring of the wisdom fire-fighting remote monitoring system towards garden based on as any one of claim 1-6 Method, it is characterised in that including：Sensing layer obtains scene of fire information, responding fire fighter information and fire-fighting vehicle information whenever and wherever possible, and is sent to net Network layers；Internet receives the information that sensing layer transmission comes and comprehensive near radio transmission, remote radio communication transmission and internet Transmission so that short distance and remote transmission slitless connection, reliable guarantee is provided for the information gathering in garden and transmission；Intelligent fire-fighting aid decision subsystem in application layer according to Internet transmission come information combination expert reasoning algorithm come Fire spreading direction, scope and speed are predicted, arranges that fire extinguishing place and fire fighter's quantity, generation disappear further according to prediction result Anti- resource optimal scheduling scheme, reliable basis are provided for commander's decision-making.
- 8. as claimed in claim 7 towards garden wisdom fire-fighting remote monitoring system monitoring method, it is characterised in that institute It is based on Research of Decision Tree Learning to state expert reasoning algorithm.
- 9. as claimed in claim 7 towards garden wisdom fire-fighting remote monitoring system monitoring method, it is characterised in that should With the Intelligent fire-fighting aid decision subsystem in layer according to Internet transmission come information combination expert reasoning algorithm predict Detailed process includes：Knowledge base is responsible for generation and meets rule needed for rule base, and is sent to rule base and is stored；Inference machine searches out rule base and the data in case library, and carries out matching primitives according to corresponding calculation and go out to speculate knot Fruit is simultaneously stored to database；Case library dynamically changes estimation result according to the case data of its memory storage.
- 10. as claimed in claim 9 towards garden wisdom fire-fighting remote monitoring system monitoring method, it is characterised in that Inference machine is matched according to corresponding calculation, is divided into both of which：A kind of is the decision information and case matched according to characteristic attribute collection in case library；One kind is located in advance by event Study is re-started after reason, reasoning, is concluded, new rule decision information is summed up and stores into knowledge base.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108245817A (en) * | 2018-01-23 | 2018-07-06 | 常州大学 | A kind of strength of attack forecasting system and its application |
| CN108346253A (en) * | 2018-04-13 | 2018-07-31 | 中联永安智慧消防科技（成都）有限公司 | Wisdom fire-fighting management, emergency system and method |
| CN109542099A (en) * | 2018-11-26 | 2019-03-29 | 江苏农牧科技职业学院 | A kind of agricultural machinery control method |
| CN109865231A (en) * | 2019-01-29 | 2019-06-11 | 迅捷安消防及救援科技（深圳）有限公司 | Removable module wisdom fire-fighting Support Equipment on duty and Related product |
| CN110086536A (en) * | 2019-04-29 | 2019-08-02 | 格利尔数码科技股份有限公司 | Intelligent perception system based on LED visible light communication |
| CN110097728A (en) * | 2019-04-27 | 2019-08-06 | 广州市锋安消防工程有限公司 | Fire remote-monitoring system |
| CN110379123A (en) * | 2019-07-26 | 2019-10-25 | 合肥金人科技有限公司 | A kind of emergency response system based on big data |
| CN111343598A (en) * | 2020-02-03 | 2020-06-26 | 重庆特斯联智慧科技股份有限公司 | Intelligent fire-fighting vehicle-mounted platform operation method and system with edge computing capability |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5938721A (en) * | 1996-10-24 | 1999-08-17 | Trimble Navigation Limited | Position based personal digital assistant |
| JP2003024463A (en) * | 2001-07-18 | 2003-01-28 | Nec Corp | Fire-fighting instruction control system, method and program |
| WO2007107275A1 (en) * | 2006-03-17 | 2007-09-27 | Kockums Ab | Method, computer program, apparatuses, and system for determining available resources and tasking a selection of the resources |
| CN202976376U (en) * | 2012-11-22 | 2013-06-05 | 华南农业大学 | Forest fire monitoring and emergency command system based unmanned aerial vehicle |
| CN105096508A (en) * | 2015-07-27 | 2015-11-25 | 中国电子科技集团公司第三十八研究所 | Forest-fire-prevention digital informatization integration command system |
| CN105824848A (en) * | 2015-01-08 | 2016-08-03 | 中国航天科工集团第四研究院指挥自动化技术研发与应用中心 | Method for acquiring comprehensive fire fighting information and fire fighting information system |
| CN106295870A (en) * | 2016-08-04 | 2017-01-04 | 合肥景昇信息科技有限公司 | Fire-fighting command plateform system based on three-dimensional map |
| CN107067132A (en) * | 2016-12-21 | 2017-08-18 | 中国矿业大学 | A kind of fire-fighting emergent Succor plain stage system |
-
2017
- 2017-08-21 CN CN201710718437.2A patent/CN107510914B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5938721A (en) * | 1996-10-24 | 1999-08-17 | Trimble Navigation Limited | Position based personal digital assistant |
| JP2003024463A (en) * | 2001-07-18 | 2003-01-28 | Nec Corp | Fire-fighting instruction control system, method and program |
| WO2007107275A1 (en) * | 2006-03-17 | 2007-09-27 | Kockums Ab | Method, computer program, apparatuses, and system for determining available resources and tasking a selection of the resources |
| CN202976376U (en) * | 2012-11-22 | 2013-06-05 | 华南农业大学 | Forest fire monitoring and emergency command system based unmanned aerial vehicle |
| CN105824848A (en) * | 2015-01-08 | 2016-08-03 | 中国航天科工集团第四研究院指挥自动化技术研发与应用中心 | Method for acquiring comprehensive fire fighting information and fire fighting information system |
| CN105096508A (en) * | 2015-07-27 | 2015-11-25 | 中国电子科技集团公司第三十八研究所 | Forest-fire-prevention digital informatization integration command system |
| CN106295870A (en) * | 2016-08-04 | 2017-01-04 | 合肥景昇信息科技有限公司 | Fire-fighting command plateform system based on three-dimensional map |
| CN107067132A (en) * | 2016-12-21 | 2017-08-18 | 中国矿业大学 | A kind of fire-fighting emergent Succor plain stage system |
Non-Patent Citations (1)
| Title |
|---|
| 龙朝夕: "森林火灾现场指挥信息集成研究", 《中国优秀硕士学位论文全文数据库（电子期刊） 农业科技辑》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108245817A (en) * | 2018-01-23 | 2018-07-06 | 常州大学 | A kind of strength of attack forecasting system and its application |
| CN108346253A (en) * | 2018-04-13 | 2018-07-31 | 中联永安智慧消防科技（成都）有限公司 | Wisdom fire-fighting management, emergency system and method |
| CN109542099A (en) * | 2018-11-26 | 2019-03-29 | 江苏农牧科技职业学院 | A kind of agricultural machinery control method |
| CN109542099B (en) * | 2018-11-26 | 2021-05-07 | 江苏农牧科技职业学院 | Agricultural machinery control method |
| CN109865231A (en) * | 2019-01-29 | 2019-06-11 | 迅捷安消防及救援科技（深圳）有限公司 | Removable module wisdom fire-fighting Support Equipment on duty and Related product |
| CN109865231B (en) * | 2019-01-29 | 2020-09-08 | 迅捷安消防及救援科技（深圳）有限公司 | Movable modular intelligent fire-fighting on-duty guarantee equipment and related products |
| CN110097728A (en) * | 2019-04-27 | 2019-08-06 | 广州市锋安消防工程有限公司 | Fire remote-monitoring system |
| CN110097728B (en) * | 2019-04-27 | 2021-12-10 | 广州市锋安消防工程有限公司 | Fire-fighting remote monitoring system |
| CN110086536A (en) * | 2019-04-29 | 2019-08-02 | 格利尔数码科技股份有限公司 | Intelligent perception system based on LED visible light communication |
| CN110379123A (en) * | 2019-07-26 | 2019-10-25 | 合肥金人科技有限公司 | A kind of emergency response system based on big data |
| CN111343598A (en) * | 2020-02-03 | 2020-06-26 | 重庆特斯联智慧科技股份有限公司 | Intelligent fire-fighting vehicle-mounted platform operation method and system with edge computing capability |
| CN111343598B (en) * | 2020-02-03 | 2022-05-17 | 重庆特斯联智慧科技股份有限公司 | Intelligent fire-fighting vehicle-mounted platform operation method and system with edge computing capability |
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