CN114565282A - Intelligent city management system based on unmanned patrol and implementation method - Google Patents
Intelligent city management system based on unmanned patrol and implementation method Download PDFInfo
- Publication number
- CN114565282A CN114565282A CN202210196462.XA CN202210196462A CN114565282A CN 114565282 A CN114565282 A CN 114565282A CN 202210196462 A CN202210196462 A CN 202210196462A CN 114565282 A CN114565282 A CN 114565282A
- Authority
- CN
- China
- Prior art keywords
- event
- management
- module
- patrol
- task
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000007689 inspection Methods 0.000 claims abstract description 21
- 230000008447 perception Effects 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 230000002776 aggregation Effects 0.000 claims abstract description 4
- 238000004220 aggregation Methods 0.000 claims abstract description 4
- 230000006870 function Effects 0.000 claims abstract description 4
- 238000012423 maintenance Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 126
- 238000012545 processing Methods 0.000 claims description 28
- 230000008569 process Effects 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 6
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 claims description 3
- 238000013459 approach Methods 0.000 claims description 3
- 230000006399 behavior Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 claims description 3
- 238000012217 deletion Methods 0.000 claims description 3
- 230000037430 deletion Effects 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000006872 improvement Effects 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 238000004806 packaging method and process Methods 0.000 claims description 3
- 238000011084 recovery Methods 0.000 claims description 3
- 238000011160 research Methods 0.000 claims description 3
- 238000011076 safety test Methods 0.000 claims description 3
- 238000001931 thermography Methods 0.000 claims description 3
- 238000011269 treatment regimen Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims 1
- 230000005906 menstruation Effects 0.000 claims 1
- 238000013473 artificial intelligence Methods 0.000 description 16
- 230000008901 benefit Effects 0.000 description 3
- 238000011282 treatment Methods 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011278 co-treatment Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063118—Staff planning in a project environment
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/60—Planning or developing urban green infrastructure
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a smart city management system based on unmanned patrol and an implementation method thereof, belonging to the technical field of smart city management, aiming at solving the technical problems of high labor cost, single traditional management mode and difficult realization of real-time effective supervision for managing stubborn blind areas in the city management, and adopting the following technical scheme: the system comprises a perception system subsystem, a comprehensive management platform and an intelligent city management industry application platform, wherein the perception system subsystem is used for realizing remote control, automatic inspection, autonomous event reporting and information checking; the comprehensive management platform is used for providing management functions of system operation and maintenance, data acquisition and aggregation, task customization, early warning event pushing, model warehouse management and airline warehouse management full-flow full-life cycle; the smart city management industry application platform is used for providing special service application of illegal building identification, river affair inspection, city appearance and city politics and gas safety detection for city management related departments.
Description
Technical Field
The invention relates to the technical field of smart city management, in particular to a smart city management system based on unmanned inspection and an implementation method thereof.
Background
At present, the work of the center of gravity of a city is moved downwards, extensive configuration is changed to fine management, basic level workers contact the masses, collect information and publicize policies, and the basic level workers also comprise a plurality of management departments, such as dozens of comprehensive contents, hundreds of comprehensive contents, and other temporary and emergency tasks, wherein the comprehensive contents comprise urban sanitation, landscaping, illegal buildings, social security, fire safety and the like. Above circumstances lead to basic level to administer work burden increasingly heavy, and in traditional city management mode, the operation comprehensive cost is high under can't live, and work strength is serious not enough, has the personnel of personnel's quantity big, different personnel to deal with the problem such as the thing precision is low, and basic level work faces "the cart is drawn to the pony".
Meanwhile, many problems and blind area leakage points are exposed in the process of urban modern management, and the real-time effective supervision on the 'high, far, blocking, dark, moving and dangerous' management chronic disease blind areas is difficult to realize through manual inspection and traditional equipment perception. Moreover, the traditional management mode is single, when an emergent emergency happens, the manual guard difficulty is high, the response is slow, the coordination is difficult, the feedback efficiency is low, and the loss is easily delayed to cause the expansion.
Disclosure of Invention
The invention provides an unmanned patrol-based smart city management system and an implementation method thereof, and aims to solve the problems that the labor cost is high, the traditional management mode is single, and the management of stubborn blind areas is difficult to realize real-time effective supervision in city management.
The technical task of the invention is realized in the following way, a smart city management system based on unmanned patrol, which comprises,
the perception system subsystem is used for realizing remote control, automatic patrol, autonomous event report and information check;
the comprehensive management platform is used for providing management functions of system operation and maintenance, data acquisition and aggregation, task customization, early warning event pushing, model warehouse management and airline warehouse management full-flow full-life cycle;
the smart city management industry application platform is used for providing special service application of illegal building identification, river affair inspection, city appearance and politics and gas safety detection for city management related departments.
Preferably, the perception system subsystem continuously accumulates the maturity of the model library through model training and deep learning, transmits the video data and the event data to the comprehensive management platform through a 4G/5G/WiFi/wired private network, and the comprehensive management platform performs full-process tracking processing on the urban event.
Preferably, the perception system subsystem comprises an unmanned aerial vehicle unit and a remote deployment unit; wherein, unmanned aerial vehicle unit includes aircraft, task load module, airborne AI module, 5G module and machine nest module.
Preferably, the comprehensive management platform comprises a data acquisition module, a data transmission module, a data monitoring module, a real-time patrol supervision module, an AI model warehouse management module, an airline management module, a task center module, an early warning management module and a system setting module; the method comprises the steps of obtaining an AI model, and carrying out training, correction, packaging, release and start-stop of all AI models in an AI model bin management module.
Preferably, the smart city management industry application platform mainly comprises an intelligent illegal building identification module, a river service patrol module, a gas safety monitoring module, a road occupation management patrol module, an illegal parking patrol module, a scram sundry patrol module, a tourist vendor patrol module, an outside-store business patrol module and a street clothes airing patrol module.
A smart city management implementation method based on unmanned patrol comprises the following specific steps:
and (3) setting a task: the unmanned aerial vehicle task is preset through a task center subsystem in the comprehensive management platform, and the full life cycle management of task creation, safety test, release, modification and deletion is completed;
selecting a task: selecting to start a corresponding task according to actual working requirements;
and (4) flying at the airport: after starting the task, carrying out the flying of the aircraft airport;
automatic flight: the aircraft is provided with an autonomous flight control system, and after receiving the defined flight task information, the aircraft autonomously completes the flight task to realize stable flight;
intelligent patrol: in the flight operation process of the aircraft, the airborne AI module synchronously carries out intelligent analysis on pictures or videos shot by the aircraft, and high-precision target defect identification and target behavior identification analysis are realized for a service scene; the business scene comprises illegal building identification, river service patrol, city appearance and appearance improvement and gas safety detection;
and (3) event pushing processing: the aircraft sends the abnormal early warning structured event data analyzed and identified in the patrol process to the base station or the intelligent gateway through the communication module to be gathered in the early warning management subsystem, and closed-loop management of the early warning event is carried out after intelligent study, judgment and assignment;
automatic return recovery: and the aircraft automatically returns after the autonomous inspection task is finished, and the unmanned inspection task is finished.
Preferably, the closed-loop management of the pre-alarm event is as follows:
planning and constructing an event library, and converging to a comprehensive management platform: defining event attribute information for supporting intelligent dispatching of events; the unmanned aerial vehicle unit generates the analyzed and identified abnormal early warning information into structured event data in the patrol process and pushes the structured event data to the comprehensive management platform; the event attribute information comprises an event type, a responsible grid, a grid mechanism, a grid authority and an event rule;
event analysis: according to factors of the emergency degree, type and source of the event, event right determination analysis is carried out on the information by combining with event library rules, and a disposal strategy is determined;
event deduplication and fusion: judging the repeatability of the occurrence of the events through a text matching algorithm, merging a plurality of events according to a fusion rule base, and pushing the events into an automatic dispatching queue;
event intelligent dispatching: the method comprises the following steps of automatically dispatching and manually dispatching, automatically dispatching events with clear authority and clear treatment strategies to an application platform of the smart city management industry, informing event messages to a responsible grid, and analyzing through research and judgment;
event processing and feedback processing state: after the event responsible grid receives the event information, the event processing is carried out and the processing state is fed back;
checking the missed approach event of the unmanned aerial vehicle: after the responsible grid feeds back the event processing result, locking and checking the event, automatically calling event position information, aircraft hovering position information and aircraft current position information in the event record, selecting the aircraft to perform result checking, and if abnormity is detected in the re-checking process, performing early warning event pushing processing again;
event evaluation, archiving and analysis: and for the processed events, the comprehensive management platform evaluates, files and analyzes the events.
Preferably, for events which cannot be automatically dispatched and cannot be determined for specific handling units of the events in the event intelligent dispatch, a matching list is output by utilizing an event matching algorithm according to attribute information of the events and combined with historical data, and business personnel schedule the events to relevant units for processing according to the recommended matching list and business analysis of the events.
Preferably, the unmanned aerial vehicle unit task planning comprehensively considers the task type, the number of the unmanned aerial vehicles, the geographic environment information and the type factor of the carried load, one or more optimal routes from the departure point to the target point are formulated, and a route library is established for task management; in order to meet the urban event management requirement, the task load of the unmanned aerial vehicle unit comprises a high-precision three-axis holder, a visible light camera, a thermal imaging camera, a laser methane detector and an airborne AI module; the route planning comprises the work of compiling, modifying, integrating and rechecking a mission route.
More preferably, after the aircraft airport is flown, through the automatic management of long-range unit configuration unmanned aerial vehicle of deploying, the high-efficient automatic manipulator of long-range unit configuration, through the automatic structural design that opens and shuts, goes up and down and get and unload of aircraft nest, carry out unmanned aerial vehicle take off, descend, deposit and the automated management who charges.
The intelligent city management system based on unmanned patrol and the implementation method thereof have the following advantages:
the pain point solved by the invention is that the labor cost is high in urban management, the traditional management mode is single, and the real-time effective supervision for managing the stubborn disease blind area is difficult to realize;
secondly, by innovating a management means, the city management efficiency is improved from two aspects of economic benefit and social benefit; according to the invention, the automatic flight system enables the unmanned aerial vehicle to carry out intelligent routing inspection, and urban event information is intelligently researched, judged and allocated to the urban managers, so that the requirement of fixed-time and fixed-point patrol is met, the traditional monitoring blind area is effectively supplemented, the labor intensity and labor time of basic-level workers are reduced, the processing efficiency of emergency emergencies is enhanced, and the safety and satisfaction of people are increased;
based on the existing smart city management platform and the unmanned aerial vehicle unit as a breach, the intelligent city management system gradually realizes the service applications of city management such as unattended inspection, autonomous information perception, intelligent event type and treatment judgment and the like; by utilizing the characteristics of flexibility, safety and reliability of the unmanned aerial vehicle but hidden danger, the unmanned aerial vehicle can effectively cope with high-grade, hidden, high-risk and unmanned terrain environments, get rid of terrain limitation, solve the problem of supervision blind areas, effectively reduce labor cost and greatly liberate manpower in daily repetitive inspection tasks;
in the urban management mode, the urban management system responds to the development requirements of refinement, unmanned and intelligent urban management, utilizes big data computing capacity and AI model to comprehensively manage urban resources, provides event alarm handling service for urban management, realizes affair cooperative linkage, can timely deal with and guarantee urban daily problems, major events and key activities, realizes the conversion of the urban management mode from humanization, man-machine co-treatment and intelligent treatment, and innovatively drives the urban management mode;
the invention is an effective supplementary tool of a city management system, breaks through the existing working mode of city management law enforcement patrol, enables an unmanned aerial vehicle to fully automatically carry out automatic patrol operation by an automatic flight system, realizes high-frequency normal state aerial patrol, autonomous flight line planning and free setting of patrol tasks, supplements the traditional monitoring blind area, meets the patrol requirement of timing and fixing points, can effectively lighten the labor intensity and labor time of basic staff, greatly liberates manpower, can also effectively deal with timeliness and emergent work, realizes a novel unattended law enforcement mode, and solves the working problem of few and many basic staff.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of a smart city management implementation method based on unmanned patrol;
fig. 2 is a flow diagram of closed-loop management of early warning events.
Detailed Description
The intelligent city management system based on unmanned patrol and the implementation method thereof are described in detail below with reference to the drawings and the specific embodiments of the specification.
Example 1:
the intelligent city management system based on unmanned patrol of the embodiment comprises,
the perception system subsystem is used for realizing remote control, automatic patrol, autonomous event report and information check;
the comprehensive management platform is used for providing management functions of system operation and maintenance, data acquisition and aggregation, task customization, early warning event pushing, model warehouse management and airline warehouse management full-flow full-life cycle;
the smart city management industry application platform is used for providing special service application of illegal building identification, river affair inspection, city appearance and city politics and gas safety detection for city management related departments.
The perception system subsystem in the embodiment continuously accumulates the maturity of the model base through model training and deep learning, transmits video data and event data to the comprehensive management platform through a 4G/5G/WiFi/wired private network, and the comprehensive management platform performs full-process tracking processing on urban events.
The perception system subsystem in the embodiment comprises an unmanned aerial vehicle unit and a remote deployment unit; wherein, unmanned aerial vehicle unit includes aircraft, task load module, airborne AI module, 5G module and machine nest module.
The comprehensive management platform in the embodiment comprises a data acquisition module, a data transmission module, a data monitoring module, a real-time patrol monitoring module, an AI model warehouse management module, an airline management module, a task center module, an early warning management module and a system setting module; the method comprises the steps of obtaining an AI model, and carrying out training, correction, packaging, release and start-stop of all AI models in an AI model bin management module.
The intelligent urban management industry application platform in the embodiment mainly comprises an intelligent illegal building identification module, a river service patrol module, a gas safety monitoring module, a road occupation operation patrol module, an illegal parking patrol module, a scram sundry patrol module, a tourist vendor patrol module, an outside-store business patrol module and a street clothes airing patrol module.
Example 2:
the intelligent city management implementation method based on unmanned patrol in the embodiment specifically comprises the following steps:
s1, establishing a task: the unmanned aerial vehicle tasks are preset through a task center subsystem in the comprehensive management platform, and the full life cycle management of task creation, safety test, release, modification and deletion is completed;
s2, selecting a task: selecting to start a corresponding task according to actual working requirements;
s3, airport flying: after starting the task, carrying out the flying of the aircraft airport;
s4, automatic flight: the aircraft is provided with an autonomous flight control system, and after receiving the defined flight task information, the aircraft autonomously completes the flight task to realize stable flight;
s5, intelligent patrol: in the flight operation process of the aircraft, the airborne AI module synchronously carries out intelligent analysis on pictures or videos shot by the aircraft, and high-precision target defect identification and target behavior identification analysis are realized for a service scene; the business scene comprises illegal building identification, river service patrol, city appearance and appearance improvement and gas safety detection;
s6, event pushing processing: the aircraft sends the abnormal early warning structured event data analyzed and identified in the patrol process to the base station or the intelligent gateway through the communication module to be gathered in the early warning management subsystem, and closed-loop management of the early warning event is carried out after intelligent study, judgment and assignment;
s7, automatic return recovery: and the aircraft automatically returns after the autonomous inspection task is finished, and the unmanned inspection task is finished.
The closed-loop management of the warning event in step S6 in this embodiment is as follows:
s601, planning and constructing an event library, and converging to a comprehensive management platform: defining event attribute information for supporting intelligent dispatching of events; the unmanned aerial vehicle unit generates the analyzed and identified abnormal early warning information into structured event data in the patrol process and pushes the structured event data to the comprehensive management platform; the event attribute information comprises an event type, a responsible grid, a grid mechanism, a grid authority and an event rule;
s602, event analysis: according to factors of the emergency degree, type and source of the event, event right determination analysis is carried out on the information by combining with event library rules, and a disposal strategy is determined;
s603, event de-duplication fusion: judging the repeatability of the occurrence of the events through a text matching algorithm, merging a plurality of events according to a fusion rule base, and pushing the events into an automatic dispatching queue;
s604, event intelligent dispatching: the method comprises the following steps of automatically dispatching and manually dispatching, automatically dispatching events with clear authority and clear treatment strategies to an application platform of the smart city management industry, informing event messages to a responsible grid, and analyzing through research and judgment;
s605, event processing and feedback processing state: after the event responsible grid receives the event information, the event processing is carried out and the processing state is fed back;
s606, checking the missed approach event of the unmanned aerial vehicle: after the responsible grid feeds back the event processing result, locking and checking the event, automatically calling event position information, aircraft hovering position information and aircraft current position information in the event record, selecting the aircraft to perform result checking, and if abnormity is detected in the re-checking process, performing early warning event pushing processing again;
s607, event evaluation, archiving and analysis: and for the processed events, the comprehensive management platform evaluates, archives and analyzes the events.
In the event intelligent dispatch in step S604 of this embodiment, for an event that cannot be automatically dispatched because a specific handling unit of the event cannot be determined, a matching list is output by using an event matching algorithm according to attribute information of the event and in combination with historical data, and a service worker schedules the event to a relevant unit for processing according to the recommended matching list and service analysis on the event.
In the present embodiment, in the task planning of the unmanned aerial vehicle unit in step S1, the task type, the number of unmanned aerial vehicles, the geographic environment information, and the type factor of the carried load are comprehensively considered, one or more optimal routes from the departure point to the target point are formulated, and a route library is established for task management; in order to meet the urban event management requirement, the task load of the unmanned aerial vehicle unit comprises a high-precision three-axis holder, a visible light camera, a thermal imaging camera, a laser methane detector and an airborne AI (artificial intelligence) module; the route planning comprises the work of compiling, modifying, integrating and rechecking a mission route.
After the aircraft airport in step S3 of this embodiment is flown, the automatic management of the unmanned aerial vehicle is recorded through the remote deployment unit, the high-efficient automatic manipulator is configured to the remote deployment unit, and the automatic management of takeoff, landing, storage and charging of the unmanned aerial vehicle is performed through the automatic opening, closing, lifting and unloading structural design of the airframe.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A smart city management system based on unmanned patrol is characterized in that the system comprises,
the perception system subsystem is used for realizing remote control, automatic patrol, autonomous event report and information check;
the comprehensive management platform is used for providing management functions of system operation and maintenance, data acquisition and aggregation, task customization, early warning event pushing, model warehouse management and airline warehouse management full-flow full-life cycle;
the smart city management industry application platform is used for providing special service application of illegal building identification, river affair inspection, city appearance and city politics and gas safety detection for city management related departments.
2. The intelligent city management system based on unmanned inspection according to claim 1, wherein the perception system subsystem continuously accumulates maturity of a model library through model training and deep learning, transmits video data and event data to the comprehensive management platform through a 4G/5G/WiFi/wired private network, and the comprehensive management platform performs full-process tracking processing on city events.
3. The unmanned patrol-based smart city management system of claim 1, wherein the perception hierarchy subsystem comprises an unmanned aerial vehicle unit and a remote deployment unit; wherein, unmanned aerial vehicle unit includes aircraft, task load module, airborne AI module, 5G module and machine nest module.
4. The intelligent city management system based on unmanned inspection according to claim 3, wherein the comprehensive management platform comprises a data acquisition module, a data transmission module, a data monitoring module, a real-time inspection supervision module, an AI model warehouse management module, an airline management module, a task center module, an early warning management module and a system setting module; the method comprises the steps of obtaining an AI model, and carrying out training, correction, packaging, release and start-stop of all AI models in an AI model bin management module.
5. The unmanned patrol-based smart city management system according to any one of claims 1-4, wherein the smart city management industry application platform mainly comprises an intelligent violation building identification module, a river service patrol module, a gas safety monitoring module, a road occupation operation patrol module, a violation parking patrol module, a scram sundry patrol module, a tourist vendor patrol module, an outside-store menstruation patrol module and a street clothes airing patrol module.
6. A smart city management implementation method based on unmanned patrol is characterized by comprising the following steps:
and (3) setting a task: the unmanned aerial vehicle tasks are preset through a task center subsystem in the comprehensive management platform, and the full life cycle management of task creation, safety test, release, modification and deletion is completed;
selecting a task: selecting to start a corresponding task according to actual working requirements;
and (4) flying at the airport: after starting the task, carrying out the flying of the aircraft airport;
automatic flight: the aircraft is provided with an autonomous flight control system, and after receiving defined flight task information, the aircraft autonomously completes a flight task to realize stable flight;
intelligent patrol: in the flight operation process of the aircraft, the airborne AI module synchronously carries out intelligent analysis on pictures or videos shot by the aircraft, and high-precision target defect identification and target behavior identification analysis are realized for a service scene; the business scene comprises illegal building identification, river service patrol, city appearance improvement and gas safety detection;
and (3) event pushing processing: the aircraft sends the abnormal early warning structured event data analyzed and identified in the patrol process to the base station or the intelligent gateway through the communication module to be gathered in the early warning management subsystem, and closed-loop management of the early warning event is carried out after intelligent study, judgment and assignment;
automatic return recovery: and the aircraft automatically returns after the autonomous inspection task is finished, and the unmanned inspection task is finished.
7. The method of claim 6, wherein the closed-loop management of the pre-alarm event is as follows:
planning and constructing an event library, and converging to a comprehensive management platform: defining event attribute information for supporting intelligent dispatching of events; the unmanned aerial vehicle unit generates the analyzed and identified abnormal early warning information into structured event data in the patrol process and pushes the structured event data to the comprehensive management platform; the event attribute information comprises an event type, a responsible grid, a grid mechanism, a grid authority and an event rule;
event analysis: according to factors of the emergency degree, type and source of the event, event right determination analysis is carried out on the information by combining with event library rules, and a disposal strategy is determined;
event deduplication and fusion: judging the repeatability of the occurrence of the events through a text matching algorithm, merging a plurality of events according to a fusion rule base, and pushing the events into an automatic dispatching queue;
event intelligent dispatching: the method comprises the following steps of automatically dispatching and manually dispatching, automatically dispatching events with clear authority and clear treatment strategies to an application platform of the smart city management industry, informing event messages to a responsible grid, and analyzing through research and judgment;
event processing and feedback processing state: after the event responsible grid receives the event information, the event processing is carried out and the processing state is fed back;
checking the missed approach event of the unmanned plane: after the responsible grid feeds back the event processing result, the locking check event automatically calls the event position information, the aircraft hovering position information and the current position information of the aircraft in the event record, the aircraft is selected for result check, and if abnormality is detected in the re-check process, the early warning event pushing processing is carried out again;
event evaluation, archiving and analysis: and for the processed events, the comprehensive management platform evaluates, archives and analyzes the events.
8. The intelligent city management implementation method based on unmanned inspection according to claim 7, wherein for events which cannot be automatically dispatched for specific handling units of the event cannot be determined in the event intelligent dispatch, a matching list is output by using an event matching algorithm according to attribute information of the event and in combination with historical data, and the event is scheduled to relevant units for processing by service personnel according to the recommended matching list and service analysis of the event.
9. The unmanned patrol-based intelligent city management implementation method according to claim 7, wherein unmanned aerial vehicle unit task planning comprehensively considers factors of task types, unmanned aerial vehicle number, geographic environment information and carried load types, makes one or more optimal routes from a departure point to a target point, and establishes a route library for task management; the task load of the unmanned aerial vehicle unit comprises a high-precision three-axis holder, a visible light camera, a thermal imaging camera, a laser methane detector and an airborne AI module; the route planning comprises the work of compiling, modifying, integrating and rechecking a mission route.
10. The unmanned patrol-based smart city management implementation method according to any one of claims 7-9, wherein after the aircraft airport is released, unmanned aerial vehicle automated management is recorded through a remote deployment unit, the remote deployment unit is configured with an efficient automatic manipulator, and automated management of takeoff, landing, storage and charging of the unmanned aerial vehicle is performed through automatic opening, closing, lifting and unloading structural design of a machine nest.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210196462.XA CN114565282B (en) | 2022-03-01 | 2022-03-01 | Intelligent city management system based on unmanned patrol and implementation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210196462.XA CN114565282B (en) | 2022-03-01 | 2022-03-01 | Intelligent city management system based on unmanned patrol and implementation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114565282A true CN114565282A (en) | 2022-05-31 |
| CN114565282B CN114565282B (en) | 2024-07-26 |
Family
ID=81716620
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210196462.XA Active CN114565282B (en) | 2022-03-01 | 2022-03-01 | Intelligent city management system based on unmanned patrol and implementation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114565282B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115661965A (en) * | 2022-09-06 | 2023-01-31 | 贵州博睿科讯科技发展有限公司 | Intelligent inspection system integrated with automatic airport for highway unmanned aerial vehicle |
| CN116339220A (en) * | 2023-05-30 | 2023-06-27 | 北京中兵天工防务技术有限公司 | Method, device and system for cooperatively completing tasks by different unmanned systems |
| CN117391911A (en) * | 2023-12-08 | 2024-01-12 | 日照先森网络科技股份有限公司 | Smart city comprehensive management method and system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109544428A (en) * | 2018-11-28 | 2019-03-29 | 南京莱斯信息技术股份有限公司 | A kind of smart city platform towards Urban Governance |
| CN110298932A (en) * | 2019-07-26 | 2019-10-01 | 国网浙江省电力有限公司衢州供电公司 | A kind of UAV Intelligent patrol inspection integral control platform |
| CN112668847A (en) * | 2020-12-17 | 2021-04-16 | 国网山西省电力公司运城供电公司 | Unmanned aerial vehicle autonomous inspection comprehensive management system for distribution network line |
| WO2021088681A1 (en) * | 2019-11-08 | 2021-05-14 | 深圳市道通智能航空技术股份有限公司 | Long-distance flight-tracking method and device for unmanned aerial vehicle, apparatus, and storage medium |
| CN113077168A (en) * | 2021-04-16 | 2021-07-06 | 广东电网有限责任公司 | Machine patrol operation risk management and control system and method |
| KR102342820B1 (en) * | 2021-03-11 | 2021-12-23 | 이원목 | Modular-combined smart pole for building a smart city |
| CN113901162A (en) * | 2021-10-13 | 2022-01-07 | 深圳联和智慧科技有限公司 | Unmanned aerial vehicle environment monitoring method and system based on city management and cloud platform |
| CN114063638A (en) * | 2021-10-15 | 2022-02-18 | 中电科翌智航(宁夏)科技有限公司 | Unmanned aerial vehicle patrolling system and smart energized city emergency equipment |
-
2022
- 2022-03-01 CN CN202210196462.XA patent/CN114565282B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109544428A (en) * | 2018-11-28 | 2019-03-29 | 南京莱斯信息技术股份有限公司 | A kind of smart city platform towards Urban Governance |
| CN110298932A (en) * | 2019-07-26 | 2019-10-01 | 国网浙江省电力有限公司衢州供电公司 | A kind of UAV Intelligent patrol inspection integral control platform |
| WO2021088681A1 (en) * | 2019-11-08 | 2021-05-14 | 深圳市道通智能航空技术股份有限公司 | Long-distance flight-tracking method and device for unmanned aerial vehicle, apparatus, and storage medium |
| CN112668847A (en) * | 2020-12-17 | 2021-04-16 | 国网山西省电力公司运城供电公司 | Unmanned aerial vehicle autonomous inspection comprehensive management system for distribution network line |
| KR102342820B1 (en) * | 2021-03-11 | 2021-12-23 | 이원목 | Modular-combined smart pole for building a smart city |
| CN113077168A (en) * | 2021-04-16 | 2021-07-06 | 广东电网有限责任公司 | Machine patrol operation risk management and control system and method |
| CN113901162A (en) * | 2021-10-13 | 2022-01-07 | 深圳联和智慧科技有限公司 | Unmanned aerial vehicle environment monitoring method and system based on city management and cloud platform |
| CN114063638A (en) * | 2021-10-15 | 2022-02-18 | 中电科翌智航(宁夏)科技有限公司 | Unmanned aerial vehicle patrolling system and smart energized city emergency equipment |
Non-Patent Citations (1)
| Title |
|---|
| SEO, JUNWON 等: ""Drone-enabled bridge inspection methodology and application"", 《AUTOMATION IN CONSTRUCTION》, vol. 94, 31 October 2018 (2018-10-31), pages 112 - 126, XP085443107, DOI: 10.1016/j.autcon.2018.06.006 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115661965A (en) * | 2022-09-06 | 2023-01-31 | 贵州博睿科讯科技发展有限公司 | Intelligent inspection system integrated with automatic airport for highway unmanned aerial vehicle |
| CN115661965B (en) * | 2022-09-06 | 2024-01-12 | 贵州博睿科讯科技发展有限公司 | Highway unmanned aerial vehicle intelligence inspection system of integration automatic airport |
| CN116339220A (en) * | 2023-05-30 | 2023-06-27 | 北京中兵天工防务技术有限公司 | Method, device and system for cooperatively completing tasks by different unmanned systems |
| CN116339220B (en) * | 2023-05-30 | 2023-08-01 | 北京中兵天工防务技术有限公司 | Method, device and system for cooperatively completing tasks by different unmanned systems |
| CN117391911A (en) * | 2023-12-08 | 2024-01-12 | 日照先森网络科技股份有限公司 | Smart city comprehensive management method and system |
| CN117391911B (en) * | 2023-12-08 | 2024-02-27 | 日照先森网络科技股份有限公司 | Smart city comprehensive management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114565282B (en) | 2024-07-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114565282A (en) | Intelligent city management system based on unmanned patrol and implementation method | |
| CN110378606B (en) | Mobile visual safety management and control system | |
| CN109334543B (en) | Power line inspection system and method with cooperation of power inspection vehicle and unmanned aerial vehicle | |
| CN109636131A (en) | A kind of emergency communication intelligent emergent DSS | |
| US10282077B2 (en) | Commercial aviation deicing system | |
| CN110662007A (en) | Flight ground support operation process monitoring method, device and system | |
| TW201818307A (en) | A method for maintaining aircraft and a configuration system and a computing device thereof | |
| CN112346476B (en) | Automatic unmanned aerial vehicle inspection system and method | |
| CN105469645A (en) | Flight object communication system | |
| CN109656252A (en) | A kind of middle control degree system and positioning navigation method based on AGV | |
| CN113392760A (en) | Video-based system and method for identifying unsafe behaviors of non-navigation-stop construction | |
| CN110703709A (en) | Smart environmental sanitation cloud platform integrated management system | |
| CN116405101B (en) | Monitoring, controlling and disposing system and method for low-altitude digital resource and digital infrastructure | |
| CN115379306B (en) | Outdoor disaster monitoring system and method based on aircraft relay communication | |
| CN109542114A (en) | A kind of unmanned plane polling transmission line method and system | |
| CN111062644A (en) | Airport ground service vehicle management and control system and method based on high-precision navigation positioning | |
| CN110827582A (en) | System and method for automatically acquiring flight landing point in emergency | |
| CN113656872B (en) | FM intelligent construction site operation and maintenance management and control system and method based on BIM | |
| CN109319118A (en) | A kind of industrial patrol UAV system based on distributed unmanned plane base station | |
| CN115456595A (en) | Engineering construction project comprehensive control method based on multi-source data fusion | |
| CN112288155B (en) | Security plan generation scheduling method and system based on machine learning and collaborative filtering | |
| CN116452180B (en) | Flight guarantee big data analysis and decision method | |
| CN113808257A (en) | Digital emergency drilling system | |
| Li et al. | Design of informationized operation and maintenance system for long-distance oil and gas pipelines | |
| CN111785091A (en) | Fusion construction device and system for air traffic control controller and flight behavior |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20240701 Address after: 250100 South 1st floor, S06 building, No. 1036, Inspur Road, high tech Zone, Jinan City, Shandong Province Applicant after: Smart Quancheng Intelligent Technology Co.,Ltd. Country or region after: China Applicant after: Meishan Inspur Digital Technology Co.,Ltd. Address before: 250100 South 1st floor, S06 building, No. 1036, Inspur Road, high tech Zone, Jinan City, Shandong Province Applicant before: Jinan Langchao zhitou Intelligent Technology Co.,Ltd. Country or region before: China |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |