CN109508887A - Intelligent emergency matenal support decision system based on artificial intelligence - Google Patents

Intelligent emergency matenal support decision system based on artificial intelligence Download PDF

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Publication number
CN109508887A
CN109508887A CN201811376077.3A CN201811376077A CN109508887A CN 109508887 A CN109508887 A CN 109508887A CN 201811376077 A CN201811376077 A CN 201811376077A CN 109508887 A CN109508887 A CN 109508887A
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CN
China
Prior art keywords
module
emergency
materials
information
image information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811376077.3A
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Chinese (zh)
Inventor
陈兴志
刘菁
罗昊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Sichuan Electric Power Co Ltd
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State Grid Sichuan Electric Power Co Ltd
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Filing date
Publication date
Application filed by State Grid Sichuan Electric Power Co Ltd filed Critical State Grid Sichuan Electric Power Co Ltd
Priority to CN201811376077.3A priority Critical patent/CN109508887A/en
Publication of CN109508887A publication Critical patent/CN109508887A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Abstract

The invention discloses the intelligent emergency matenal support decision systems based on artificial intelligence, including internet commercialization map, background server, it further include with lower module: detecting module, prospecting personnel carry out image information capture to scene using photographing device, and by described image information real-time Transmission to background server;Identification module calls image information from the background server, is analyzed by computer vision technique image information, identifies the information of compromised devices or impaired material, and generates corrupted information and be sent to goods and materials screening module;Goods and materials screening module screens emergency materials according to the corrupted information that the identification module is sent, determines the type and quantity of emergency materials, and generate emergency materials demand inventory.

Description

Intelligent emergency matenal support decision system based on artificial intelligence
Technical field
The present invention relates to intelligent emergency matenal supports, and in particular to the intelligent emergency matenal support based on artificial intelligence Decision system.
Background technique
In recent years, the frequent fast development occurred with economic society of extreme natural calamity, pass of the country to disaster emergency Note is also increasingly paid attention to.In terms of emergency materials guarantee, emergency stock deposit is organized, and establishes emergency materials and ensures allotment Prediction scheme responds actively heavy rain, various natural calamities and the emergency event such as flood peak passes by, it is ensured that emergency materials quickly and orderly tune Match.
Existing emergency materials security system is primarily present following problems:
1, the inspection of the scene of a crime enters difficulty: after emergency event occurs, because of road and geographical environment reason, and rescue or inspection people Member can not timely enter, and unmanned function copes with Various Complex geographical environment.
2, communication is unsmooth, and emergency materials demand can not mention report in time: rescue or patrolman enter scene and reconnoitre completion Afterwards, material requirements are evaluated, but due to communication, report can not be mentioned in time, carry out mentioning report after can only taking back, substantially prolong and rob Repair the time.
3, emergency materials are deployed, artificial judgment and selection programs: emergency materials demand mentions after report comes up, and deploys personnel After inquiring all kinds of resource Inventory Performances, artificial judgment is needed for occupying project in construction goods and materials, the allotment of fast districts and cities, material substitution etc. And decision.
4, transportation route and time are manually estimated, can not monitor in transit: allotment haulage vehicle, and selection transit route Afterwards, during vehicle transport, if a failure occurs or accident possibly can not be timely feedbacked due to communication, be caused to meet an urgent need Event handling event is delayed.
Summary of the invention
The present invention provides to solve the problems, such as to lack in the prior art effective emergency materials dispensing mode based on artificial The intelligent emergency matenal support decision system of intelligence completes efficiently emergency object using internet commercialization map and computer etc. The allotment of money reduces the appearance of artificial judgment and decision error.
The present invention is achieved through the following technical solutions:
Intelligent emergency matenal support decision system based on artificial intelligence, including internet commercialization map, background service Device further includes with lower module:
Detecting module, prospecting personnel using photographing device to scene progress image information capture, and by described image information Real-time Transmission is to background server;
Identification module calls image information from the background server, by computer vision technique to image information It is analyzed, identifies the information of compromised devices or impaired material, and generated corrupted information and be sent to goods and materials screening module;
Goods and materials screening module screens emergency materials according to the corrupted information that the identification module is sent, determines emergency materials Type and quantity, and generate emergency materials demand inventory;
Coordination module, according to the emergency materials demand inventory and the geographical location information of the internet commercialization map It determines the geographical location of emergency materials, while calculating the path between scene and the geographical location of emergency materials, transportation range And haulage time;
Scheduling module deploys people according to the calculated path of the Coordination module, transportation range and haulage time Member, vehicle and the transport for carrying out emergency materials.
Design reason of the invention: since heavy rain, flood peak such as pass by the uncertain of various natural calamities and emergency event Property, the emergency materials manually established by manpower ensure that allotment prediction scheme is no longer satisfied demand, to ensure that emergency materials are quick Orderly allotment, using the high advantage of the route fact accuracy of internet commercialization map, improves the effective percentage of Path selection;It utilizes Briefcase-sized terminal solves the problems, such as to communicate unsmooth, information real-time Transmission.For the region that can not manually reconnoitre, appearance damage Serious equipment, prospecting personnel are uploaded to background server using unmanned plane and thermal imaging capture image, and background server passes through Computer vision technique analyzes image, that is, may recognize that impaired equipment or material, according to impaired equipment or material Goods and materials required for judging, and vehicle is deployed by vehicle management system and geographical information platform (internet commercialization map) , personnel are distributed, the transport of emergency materials is finally completed.
It further, further include monitoring module, the monitoring module is for monitoring the ground for transporting emergency materials vehicle Location information is managed, and Real-time Feedback geographical location information is to background server.
Further, the photographing device includes unmanned plane infrared thermal imager, hand-held camera.
Further, the information delivery means of the detecting module are briefcase-sized terminal.
Further, the identification module, goods and materials screening module, Coordination module, scheduling module operation platform be PC or PDA。
Compared with prior art, the present invention having the following advantages and benefits:
The present invention is based on the intelligent emergency matenal support decision systems of artificial intelligence to utilize internet commercialization map and meter Calculation machine etc., completes the allotment of efficient emergency materials, reduces the appearance of artificial judgment and decision error, although modern comfort cost compared with Height, but greatly save the cost and raising working efficiency have been deployed compared to artificial, so that the emergency event treatment process time Shorten 3-5 times, specifically very big market prospects.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment, the present invention is made Further to be described in detail, exemplary embodiment of the invention and its explanation for explaining only the invention, are not intended as to this The restriction of invention.
Embodiment
Intelligent emergency matenal support decision system based on artificial intelligence, including internet commercialization map, background service Device further includes with lower module:
Detecting module, prospecting personnel using photographing device to scene progress image information capture, and by described image information Real-time Transmission is to background server;
Identification module calls image information from the background server, by computer vision technique to image information It is analyzed, identifies the information of compromised devices or impaired material, and generated corrupted information and be sent to goods and materials screening module;
Goods and materials screening module screens emergency materials according to the corrupted information that the identification module is sent, determines emergency materials Type and quantity, and generate emergency materials demand inventory;
Coordination module, according to the emergency materials demand inventory and the geographical location information of the internet commercialization map It determines the geographical location of emergency materials, while calculating the path between scene and the geographical location of emergency materials, transportation range And haulage time;
Scheduling module deploys people according to the calculated path of the Coordination module, transportation range and haulage time Member, vehicle and the transport for carrying out emergency materials.
Design reason of the invention: since heavy rain, flood peak such as pass by the uncertain of various natural calamities and emergency event Property, the emergency materials manually established by manpower ensure that allotment prediction scheme is no longer satisfied demand, to ensure that emergency materials are quick Orderly allotment, using the high advantage of the route fact accuracy of internet commercialization map, improves the effective percentage of Path selection;It utilizes Briefcase-sized terminal solves the problems, such as to communicate unsmooth, information real-time Transmission.For the region that can not manually reconnoitre, appearance damage Serious equipment, prospecting personnel are uploaded to background server using unmanned plane and thermal imaging capture image, and background server passes through Computer vision technique analyzes image, that is, may recognize that impaired equipment or material, according to impaired equipment or material Goods and materials required for judging, and vehicle is deployed by vehicle management system and geographical information platform (internet commercialization map) , personnel are distributed, the transport of emergency materials is finally completed.
It further include monitoring module, the monitoring module is used to monitor the geographical location for transporting emergency materials vehicle letter Breath, and Real-time Feedback geographical location information is to background server.
The photographing device includes unmanned plane infrared thermal imager, hand-held camera.
The information delivery means of the detecting module are briefcase-sized terminal.
The identification module, goods and materials screening module, Coordination module, scheduling module operation platform be PC or PDA.
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 (5)

1. the intelligent emergency matenal support decision system based on artificial intelligence, including internet commercialization map, background server, It is characterized in that, further including with lower module:
Detecting module, prospecting personnel carry out image information capture to scene using photographing device, and described image information is real-time It is transmitted to background server;
Identification module calls image information from the background server, is carried out by computer vision technique to image information Analysis, identifies the information of compromised devices or impaired material, and generate corrupted information and be sent to goods and materials screening module;
Goods and materials screening module screens emergency materials according to the corrupted information that the identification module is sent, determines the kind of emergency materials Class and quantity, and generate emergency materials demand inventory;
Coordination module, according to the geographical location information of the emergency materials demand inventory and the internet commercialization map come really Determine the geographical location of emergency materials, at the same calculate scene and the geographical location of emergency materials between path, transportation range and Haulage time;
Scheduling module, according to the calculated path of the Coordination module, transportation range and haulage time, deploy personnel, Vehicle and the transport for carrying out emergency materials.
2. the intelligent emergency matenal support decision system according to claim 1 based on artificial intelligence, which is characterized in that It further include monitoring module, the monitoring module is used to monitor the geographical location information for transporting emergency materials vehicle, and in real time Geographical location information is fed back to background server.
3. the intelligent emergency matenal support decision system according to claim 1 based on artificial intelligence, which is characterized in that The photographing device includes unmanned plane infrared thermal imager, hand-held camera.
4. the intelligent emergency matenal support decision system according to claim 1 based on artificial intelligence, which is characterized in that The information delivery means of the detecting module are briefcase-sized terminal.
5. the intelligent emergency matenal support decision system according to claim 1 based on artificial intelligence, which is characterized in that The identification module, goods and materials screening module, Coordination module, scheduling module operation platform be PC or PDA.
CN201811376077.3A 2018-11-19 2018-11-19 Intelligent emergency matenal support decision system based on artificial intelligence Pending CN109508887A (en)

Priority Applications (1)

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CN201811376077.3A CN109508887A (en) 2018-11-19 2018-11-19 Intelligent emergency matenal support decision system based on artificial intelligence

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Application Number Priority Date Filing Date Title
CN201811376077.3A CN109508887A (en) 2018-11-19 2018-11-19 Intelligent emergency matenal support decision system based on artificial intelligence

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110543805A (en) * 2019-04-15 2019-12-06 贵州电网有限责任公司都匀供电局 Electric power emergency material demand reporting platform based on image recognition and intelligent allocation

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105303285A (en) * 2014-09-04 2016-02-03 国网山东省电力公司应急管理中心 Intelligent allocation method for power emergency disposal materials
WO2016034139A1 (en) * 2014-09-04 2016-03-10 国家电网公司 Gis-based integrated emergency supplies visualisation system and method
CN105701613A (en) * 2016-01-13 2016-06-22 天津中科智能识别产业技术研究院有限公司 Emergency material distribution and dispatching decision support method and system thereof
CN107480853A (en) * 2017-07-05 2017-12-15 北京辰安信息科技有限公司 Goods and materials distribution method and goods and materials distributor
CN108509871A (en) * 2018-03-14 2018-09-07 陈洪国 Release system and method based on the processing of fragment big data

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105303285A (en) * 2014-09-04 2016-02-03 国网山东省电力公司应急管理中心 Intelligent allocation method for power emergency disposal materials
WO2016034139A1 (en) * 2014-09-04 2016-03-10 国家电网公司 Gis-based integrated emergency supplies visualisation system and method
CN105701613A (en) * 2016-01-13 2016-06-22 天津中科智能识别产业技术研究院有限公司 Emergency material distribution and dispatching decision support method and system thereof
CN107480853A (en) * 2017-07-05 2017-12-15 北京辰安信息科技有限公司 Goods and materials distribution method and goods and materials distributor
CN108509871A (en) * 2018-03-14 2018-09-07 陈洪国 Release system and method based on the processing of fragment big data

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110543805A (en) * 2019-04-15 2019-12-06 贵州电网有限责任公司都匀供电局 Electric power emergency material demand reporting platform based on image recognition and intelligent allocation

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