CN103391432A - Intelligent video monitoring system for safety early warning of scenic spots and monitoring method - Google Patents
Intelligent video monitoring system for safety early warning of scenic spots and monitoring method Download PDFInfo
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- CN103391432A CN103391432A CN2013103408395A CN201310340839A CN103391432A CN 103391432 A CN103391432 A CN 103391432A CN 2013103408395 A CN2013103408395 A CN 2013103408395A CN 201310340839 A CN201310340839 A CN 201310340839A CN 103391432 A CN103391432 A CN 103391432A
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Abstract
The invention relates to the technical field of scenic spot safety monitoring, particularly an intelligent video monitoring system for safety early warning of scenic spots and a monitoring method. The monitoring system comprises a video front-end monitoring subsystem, a monitoring client-side group, an intelligent video analysis subsystem, a scenic spot safety early-warning monitoring center and a safety information management system. The monitoring method comprises the following steps: gathering video and image information through the video front-end monitoring subsystem, transmitting the video and image information to the intelligent video analysis subsystem, obtaining scenic spot passenger flow distribution and early warning emulation simulated data after the analysis by the intelligent video analysis subsystem, then transmitting the distribution and the data to the scenic spot safety early-warning monitoring center, connecting the scenic spot safety early-warning monitoring center with a scenic spot safety management system, carrying out scenic spot safety information release and early warning by monitoring client-sides through comprehensive analysis, carrying out comprehensive safety analysis through the passenger flow, the facility equipment condition and the environment condition of each early warning area in the video monitoring scenic spot, improving the accuracy of the scenic spot safety early warning, and ensuring the safety of the tourist to a greater extent.
Description
Technical field
The present invention relates to safety monitoring technology field, scenic spot, relate in particular to a kind of scenic spot safe early warning intelligent video monitoring system and method for supervising.
Background technology
Scenic spot is as the important component part of tourist industry, final destination and the important distribution centre that the visitor travels, the environment relative complex that faces, guarantee scenic spot and visitor's the person and property safety, guarantee that scenic spot can develop sustainedly and stably, video monitoring system is an important step that can not be ignored.In the tourist attraction daily management mission, implement the guiding theory of " people-oriented; love life ", follow the guilding principle of " safety first, put prevention first, the comprehensive regulation ", make great efforts to eliminate the various potential safety hazards that exist, the generation of active prevention contingency, become one of important action of scenic spot manager.
at present, the technological means of general maturation that monitoring scenic spot is used is based on totally digitilized Active Eyes, but present video monitoring system is far from reaching the effect that monitoring combines with early warning, it is mainly the part as security system, appear in the newspapers and for the function that the scenic spot safe early warning customizes, not yet have, as in conjunction with the passenger flow warning line, adding up alarm, the scenic spot means of transportation, entertainment selection, the state video analysis alarm of the important operational outfits such as machinery, the regional alarm of scenic spot restricted driving, natural calamity alarm etc., thereby can not effectively use in real time intelligent video monitoring to give play to larger effect in the safe early warning of scenic spot.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of scenic spot safe early warning intelligent video monitoring system and method for supervising, passenger flow, facilities and equipment state, environmental aspect by each prewarning area in the video monitoring scenic spot, carry out the comprehensive safety analysis, improve the accuracy of scenic spot safe early warning alarm, guarantee to a greater extent the person and the property safety at visitor each place, sight spot in scenic spot.
Technical scheme
A kind of scenic spot safe early warning intelligent video monitoring system, comprise the video front Monitor And Control Subsystem, monitor client group, intelligent video analysis subsystem, scenic spot safe early warning Surveillance center, security information management system; The video front Monitor And Control Subsystem gathers video and image information sends the intelligent video analysis subsystem to, the passenger flow that obtains scenic spot after the intelligent video analysis subsystem analysis distributes and early warning analogue simulation data, then send scenic spot safe early warning Surveillance center to, described scenic spot safe early warning Surveillance center also is connected with the scenic spot safety management system,, through analysis-by-synthesis, by each monitor client that connects, carry out scenic spot security information issue and early warning;
Described intelligent video analysis subsystem comprises scenic spot detection of passenger flow statistical module and scenic spot passenger flow analogue simulation module,
Described scenic spot detection of passenger flow statistical module, the image of receiver, video front end Monitor And Control Subsystem input, export the passenger flow distributed data of each area unit time,
Described scenic spot passenger flow analogue simulation module, comprise predefined safe class data, described safe class data comprise that cross the border behavioural characteristic data, advanced warning grade data, pre-warning time of pedestrian arrange data, intensity of passenger flow and saturation early warning data, passenger flow security state grade data, early warning priority data; The passenger flow distributed data that obtains by described scenic spot detection of passenger flow statistical module and front end monitor data and simulation model carry out scenic spot passenger flow analogue simulation;
Described scenic spot safe early warning Surveillance center comprises comprehensive analysis of system processing module, video data transmitting module, scenic spot security information management system interface module; Described comprehensive analysis of system processing module comprises scenic spot early warning processing unit and emergency processing unit, scenic spot; Described scenic spot safe early warning Surveillance center outputs to described intelligent video analysis subsystem with the control signal of center monitoring personnel input, described scenic spot security information management system interface module connects security information management system, receives the data that security information management system sends;
Described scenic spot early warning processing unit, receive the data that detection of passenger flow statistical module and scenic spot passenger flow analogue simulation send, and compare, obtain real-time passenger flow security state grade and corresponding warning level, and the early warning information of being correlated with is exported to scenic spot emergency processing module
Emergency processing unit, described scenic spot, according to the relevant early warning information of warning module transmission, output alarm signal, to each monitor client, generates the emergency processing daily record simultaneously; Described video data transmitting module, receive data transfer request, according to default scenic spot safe early warning transformat and agreement, video data transmitting arrived each monitor client;
Described each monitor client receives data and the alarm signal of scenic spot safe early warning Surveillance center transmission, reminds monitoring scenic spot personnel and visitor; Described each monitor client is transferred to the intelligent video analysis subsystem with the control signal of local monitor personnel input.
Further, described guarded region comprises scenic spot entrance, restricted driving district, scenic spot, hazardous area, scenic spot, arterial highway, scenic spot.
Further, described security information management system is collected scenic spot overhaul of the equipments information, scenic spot status information of equipment, passenger flow information and is transmitted data to scenic spot safe early warning Surveillance center.
Further, described video front Monitor And Control Subsystem comprises the network video server subsystem, and described network video server subsystem receives the analog signal of camera input, and the output video data are to the intelligent video analysis subsystem.
A kind of method of above-mentioned scenic spot safe early warning intelligent video monitoring system to scenic spot implementation monitoring of applying is characterized in that:
Be arranged on the camera of the video front Monitor And Control Subsystem of each guarded region, according to the requirement of the monitoring period that pre-sets or other scenic spot safety regulation, with the video taken in and the image signal transmission server to the intelligent video analysis subsystem;
The intelligent video analysis subsystem is selected the foreground detection algorithm based on Bayes decision rule, the prospect connected region is carried out the crowd to be cut apart, the method that adopts multi-target particle filter tracking algorithm and connected region track algorithm to combine realizes that passenger flow tracking and statistics obtain the data message of pedestrian's quantity of guarded region, pedestrian's speed, the real-time density of passenger flow, then according to the variation of these real time data information, regional passenger flow is carried out analogue simulation, draw emulated data;
The intelligent video analysis subsystem is the server that draws finally real time data and emulated data and be transferred to scenic spot safe early warning Surveillance center, scenic spot safe early warning Surveillance center is by the data intellectual analysis subsystem and security information management system output, be analyzed with the scenic spot safety regulation that pre-sets, thus the generation of each guarded region security exception situation in the judgement scenic spot;
As occur abnormal and reach the event that meets alert if, scenic spot safe early warning Surveillance center outputs to each monitor client immediately, caution monitor staff and visitor.
Further, described guarded region comprises scenic spot entrance, restricted driving district, scenic spot, hazardous area, scenic spot, arterial highway, scenic spot.
Further, security information management system carries out Real Time Monitoring to the scenic spot equipment state, scenic spot Equipment Foundations information, scenic spot overhaul of the equipments information, scenic spot status information of equipment, passenger flow information real-time Transmission to scenic spot safe early warning monitoring central server.
Further, described video front Monitor And Control Subsystem comprises the network video server subsystem, described network video server subsystem is taken in video analog signal by camera, and analog signal is changed into digital signal, and transfer of data is arrived the intelligent video analysis subsystem.
Beneficial effect
By the Real Time Monitoring to each guarded region of scenic spot and each equipment, the variation of data-handling capacity automatic analysis sequence image in monitoring scene that computer is powerful, can automatically identify and add up the passenger flow number, locate rapidly and accurately the scene of the accident, abnormal conditions in the judgement monitored picture, and in fast and the most best mode, give the alarm.Greatly improve the warning accuracy, guarantee to a greater extent the person and the property safety at visitor each place, sight spot in scenic spot.
Description of drawings
Fig. 1 is structured flowchart of the present invention.
Fig. 2 is another kind of embodiment structured flowchart of the present invention.
Fig. 3 is video demographic method flow chart of the present invention.
Wherein: 1-video front Monitor And Control Subsystem, 2-intelligent video analysis subsystem, 3-scenic spot safe early warning Surveillance center, the 4-security information management system, 5-monitor client group, many cameras of 6-, 7-network video server subsystem, 8-scenic spot security information management system interface module, 9-comprehensive analysis of system processing module, 10-video data transmitting module, 11-scenic spot detection of passenger flow statistical module, 12-scenic spot passenger flow analogue simulation module, 13-scenic spot early warning processing unit, emergency processing unit, 14-scenic spot.
Embodiment
, below in conjunction with specific embodiments and the drawings, further set forth the present invention.
As shown in Figure 1, scenic spot of the present invention safe early warning intelligent video monitoring system and method thereof, formed by video front Monitor And Control Subsystem 1, intelligent video analysis subsystem 2, scenic spot safe early warning Surveillance center 3, monitor client group 5, wherein, the output of video front Monitor And Control Subsystem 1 connects an input of intelligent video analysis subsystem 2, and video front Monitor And Control Subsystem 1 outputting video signal is to intelligent video analysis subsystem 2; The control end of intelligent video analysis subsystem 2 is connected respectively to monitor client group 5 and scenic spot safe early warning Surveillance center 3, the vision signal of intelligent video analysis subsystem 2 receiver, video front end Monitor And Control Subsystem 1 outputs, intelligent video analysis subsystem 2 receives the control signal of monitor client group 5 and 3 outputs of scenic spot safe early warning Surveillance center simultaneously, and vision signal is carried out outputing to scenic spot safe early warning Surveillance center 3 after analyzing and processing; Scenic spot safe early warning Surveillance center 3 connects intelligent video analysis subsystem 2, scenic spot safe early warning Surveillance center 3 is connected to monitor client group 5, scenic spot safe early warning Surveillance center 3 receives the data of intelligent video analysis subsystem 2 outputs and the data of security information management system 4 outputs, carry out analyzing and processing and demonstration, when needs are reported to the police, produce alarm signal, adopt light, sound, some type of alarm to remind the monitoring scenic spot personnel; Simultaneously, monitor client group 5 is sent data transfer request to scenic spot safe early warning Surveillance center 3, receives the video data of scenic spot safe early warning Surveillance center 3 outputs and play to show; Thereby realize the control of 5 pairs of intelligent video analysis subsystems 2 of monitor client group; Wherein, the flow chart of the video analysis of intelligent video analysis subsystem 2 processing is referring to Fig. 3.
In instantiation of the present invention, described video front Monitor And Control Subsystem 1 can consist of a plurality of cameras 6, as shown in Figure 2; Described video front Monitor And Control Subsystem 1 also can consist of a plurality of cameras 6 and network video server subsystem 7; Network video server subsystem 7 becomes digital signal with the analog signal conversion of a plurality of camera 6 outputs, is transferred to intelligent video analysis subsystem 2.
In the instantiation of invention, described intelligent video analysis subsystem 2, comprise scenic spot detection of passenger flow statistical module 11 and scenic spot passenger flow analogue simulation module 12.
Main being responsible for of scenic spot detection of passenger flow statistical module 11 carried out identifying processing to the image information that video surveillance point in scenic spot gathers, and obtains the data messages such as the real-time density of pedestrian's quantity pedestrian speed passenger flow of guarded region, and can in time judge pedestrian's behavior of crossing the border.Module is selected the foreground detection algorithm based on Bayes decision rule, the prospect connected region is carried out the crowd cut apart, the method that adopts multi-target particle filter tracking algorithm and connected region track algorithm based on Mean-shift to combine realizes that passenger flow is followed the tracks of and statistics; This module is output as real-time passenger flow data, is divided into pedestrian's quantity Q
t, pedestrian's speed V
t(m/s), the real-time density p of passenger flow
t=Q
t/ S
1, passenger flow saturated density ρ
max=Q
max/ S
1
The data of scenic spot passenger flow analogue simulation module 12 comprise that the regional visitor's behavioural characteristic data of restricting driving, advanced warning grade data, pre-warning time arrange data, intensity of passenger flow and saturation early warning data, passenger flow security state grade data, early warning priority data etc.;
The regional visitor's behavioural characteristic of wherein said restricted driving data are expressed as boundary coordinate function y=kx, x-(x
1, x
2), k, x
1, x
2For input parameter;
Wherein said pre-warning time setting is according to customer demand, needs t (s) early warning in advance, and wherein t is input parameter;
Wherein said intensity of passenger flow and saturation early warning data are expressed as works as ρ
t＞ρ
max, need early warning, be set as 1; Work as ρ
t＜ρ
max,, lower than early warning, be set as 0, wherein, ρ
t, for real-time intensity of passenger flow, by the passenger flow statistics module, drawn; ρ
max, for this some density of blocking up, by emulated data, drawn;
Wherein, passenger flow security state grade data are expressed as S＞M
1, be defined as serious unsafe condition; M
1＞S 〉=M
2, be defined as unsafe condition; M
2＞S, be defined as safe condition; Wherein, passenger flow number S, the emulation peak value M that blocks up
1, the value of blocking up M
2For input parameter;
the operation principle of system: utilize 1 pair of scenic spot entrance of video front Monitor And Control Subsystem, the important passenger flow states such as restricted driving zone carry out video monitoring, scenic focal point intra zone traffic facility, entertainment selection, the state of the important operational outfits such as machinery carries out video monitoring, to visual plant in scenic spot, the State of alarm in zone carries out video monitoring etc., and video data is outputed to intelligent video analysis subsystem 2, 2 pairs of video images of intelligent video analysis subsystem are also analyzed in conjunction with the scenic spot safety regulation, and transfer data to scenic spot safe early warning Surveillance center 3, wherein, safety regulation is arranged by scenic spot safe early warning Surveillance center 3 and monitor client group 5, safety regulation comprises scenic spot restricted driving Zone Alerts, the passenger flow warning line, the scenic spot operational outfit is abnormal, abnormal appearance etc., security information management system 4 is with scenic spot Equipment Foundations information, scenic spot overhaul of the equipments information, the scenic spot status information of equipment, the transfer of data such as passenger flow information are to scenic spot safe early warning Surveillance center 3, by scenic spot safe early warning Surveillance center 3, the data of the data of intelligent video analysis subsystem 2 outputs and security information management system 4 outputs are carried out analysis-by-synthesis, thereby the generation of judgement scenic spot security exception situation, in case scenic spot equipment operation exception occurs, the scenic spot equipment appearance is abnormal, the hazardous area, scenic spot is swarmed into, passenger flow exceeds passenger flow warning line etc. and meets the event of alert if, scenic spot safe early warning Surveillance center 3 is just immediately with acousto-optic, image, the various ways such as short message output to each monitor client caution monitoring scenic spot personnel, simultaneously video information is play on each monitor client demonstration.
Described scenic spot safe early warning Surveillance center 3 comprises video data transmitting module 10, scenic spot security information management system interface module 8, comprehensive analysis of system processing module 9, wherein:
Video data transmitting module 10 is waited for the data transfer request that monitor client group 5 is sent, and, in case receive data transfer request, just according to scheduled transmission form and agreement, video data transmitting is arrived each monitor client; Intactly define difference and the form of packet and message bag in host-host protocol;
Scenic spot security information management system interface module 8 receives the data of security information management system 4 outputs, is transferred to comprehensive analysis of system processing module 9; This module has realized the interface function of scenic spot safe early warning Surveillance center 3 with security information management system 4, scenic spot Equipment Foundations information with scenic spot security information management system 4, the transfer of data such as scenic spot overhaul of the equipments information, scenic spot status information of equipment, passenger flow information are to system, by comprehensive analysis of system processing module 10, the data of these data and intelligent video analysis subsystem 2 are carried out comprehensive analysis, thereby judge the generation of abnormal scenic spot security situation;
Described comprehensive analysis of system processing module 9, comprise scenic spot early warning processing unit 13 and emergency processing unit, scenic spot 14.
Scenic spot early warning processing unit 13 receives the real-time passenger flow data of scenic spot detection of passenger flow statistical module 11 transmission, rapidly and accurately passenger flow number, intensity of passenger flow are processed according to passenger flow security status data, intensity of passenger flow number and the saturation early warning data of scenic spot passenger flow analogue simulation module 12 respectively, generate real-time pedestrains safety state grade and corresponding warning level, and the early warning information of being correlated with is exported to emergency processing unit, scenic spot 14.
The main relevant early warning information of being responsible for according to 13 transmission of scenic spot early warning processing unit in emergency processing unit, scenic spot 14, case of emergency level data in conjunction with the transmission of scenic spot passenger flow analogue simulation module, generate in real time processing policy and notify the monitoring scenic spot personnel, generating simultaneously the emergency processing daily record.
Comprehensive analysis of system processing module 9 will from the data of intelligent video analysis subsystem 2 with carry out analysis-by-synthesis from the data of security information management system 4, judged whether that the scenic spot exception safety occurs.Output alarm signal is to each monitor client when scenic spot exception safety situation occurring.Such as: whether gateway, the scenic spot passenger flow data that obtains by analysis conforms to judge that with scenic spot passenger flow fence coverage number passenger flow exceeds the passenger flow warning line, also can be by scenic spot operational outfit state be analyzed, the facility information of integrated security information management system 4 and data, judge whether whether the state of the important operational outfits such as current scenic spot means of transportation, entertainment selection, machinery consistent with the status data of security information management system 4.In case scenic spot exception safety situation occurs, warn in several ways the monitoring scenic spot personnel.
Claims (8)
1. a scenic spot safe early warning intelligent video monitoring system, is characterized in that: comprise the video front Monitor And Control Subsystem, monitor client group, intelligent video analysis subsystem, scenic spot safe early warning Surveillance center, security information management system; The video front Monitor And Control Subsystem gathers video and image information sends the intelligent video analysis subsystem to, the passenger flow that obtains scenic spot after the intelligent video analysis subsystem analysis distributes and early warning analogue simulation data, then send scenic spot safe early warning Surveillance center to, described scenic spot safe early warning Surveillance center also is connected with the scenic spot safety management system,, through analysis-by-synthesis, by each monitor client that connects, carry out scenic spot security information issue and early warning;
Described intelligent video analysis subsystem comprises scenic spot detection of passenger flow statistical module and scenic spot passenger flow analogue simulation module,
Described scenic spot detection of passenger flow statistical module, the image of receiver, video front end Monitor And Control Subsystem input, export the passenger flow distributed data of each area unit time,
Described scenic spot passenger flow analogue simulation module, comprise predefined safe class data, described safe class data comprise that cross the border behavioural characteristic data, advanced warning grade data, pre-warning time of pedestrian arrange data, intensity of passenger flow and saturation early warning data, passenger flow security state grade data, early warning priority data; The passenger flow distributed data that obtains by described scenic spot detection of passenger flow statistical module and front end monitor data and simulation model carry out scenic spot passenger flow analogue simulation;
Described scenic spot safe early warning Surveillance center comprises comprehensive analysis of system processing module, video data transmitting module, scenic spot security information management system interface module; Described comprehensive analysis of system processing module comprises scenic spot early warning processing unit and emergency processing unit, scenic spot; Described scenic spot safe early warning Surveillance center outputs to described intelligent video analysis subsystem with the control signal of center monitoring personnel input, described scenic spot security information management system interface module connects security information management system, receives the data that security information management system sends;
Described scenic spot early warning processing unit, receive the data that detection of passenger flow statistical module and scenic spot passenger flow analogue simulation send, and compare, obtain real-time passenger flow security state grade and corresponding warning level, and the early warning information of being correlated with is exported to scenic spot emergency processing module
Emergency processing unit, described scenic spot, according to the relevant early warning information of warning module transmission, output alarm signal, to each monitor client, generates the emergency processing daily record simultaneously; Described video data transmitting module, receive data transfer request, according to default scenic spot safe early warning transformat and agreement, video data transmitting arrived each monitor client;
Described each monitor client receives data and the alarm signal of scenic spot safe early warning Surveillance center transmission, reminds monitoring scenic spot personnel and visitor; Described each monitor client is transferred to the intelligent video analysis subsystem with the control signal of local monitor personnel input.
2. scenic spot as claimed in claim 1 safe early warning intelligent video monitoring system, it is characterized in that: described guarded region comprises scenic spot entrance, restricted driving district, scenic spot, hazardous area, scenic spot, arterial highway, scenic spot.
3. scenic spot as claimed in claim 1 safe early warning intelligent video monitoring system, it is characterized in that: described security information management system is collected scenic spot overhaul of the equipments information, scenic spot status information of equipment, passenger flow information also transmit data to scenic spot safe early warning Surveillance center.
4. scenic spot as claimed in claim 1 safe early warning intelligent video monitoring system, it is characterized in that: described video front Monitor And Control Subsystem comprises the network video server subsystem, described network video server subsystem receives the analog signal of camera input, and the output video data are to the intelligent video analysis subsystem.
5. an application scenic spot as claimed in claim 1 safe early warning intelligent video monitoring system is carried out the method for monitoring to scenic spot, it is characterized in that:
Be arranged on the camera of the video front Monitor And Control Subsystem of each guarded region, according to the requirement of the monitoring period that pre-sets or other scenic spot safety regulation, with the video taken in and the image signal transmission server to the intelligent video analysis subsystem;
The intelligent video analysis subsystem is selected the foreground detection algorithm based on Bayes decision rule, the prospect connected region is carried out the crowd to be cut apart, the method that adopts multi-target particle filter tracking algorithm and connected region track algorithm to combine realizes that passenger flow tracking and statistics obtain the data message of pedestrian's quantity of guarded region, pedestrian's speed, the real-time density of passenger flow, then according to the variation of these real time data information, regional passenger flow is carried out analogue simulation, draw emulated data;
The intelligent video analysis subsystem is the server that draws finally real time data and emulated data and be transferred to scenic spot safe early warning Surveillance center, scenic spot safe early warning Surveillance center is by the data intellectual analysis subsystem and security information management system output, be analyzed with the scenic spot safety regulation that pre-sets, thus the generation of each guarded region security exception situation in the judgement scenic spot;
As occur abnormal and reach the event that meets alert if, scenic spot safe early warning Surveillance center outputs to each monitor client immediately, caution monitor staff and visitor.
6. scenic spot as claimed in claim 5 safe early warning intelligent video monitoring system is carried out the method for monitoring to scenic spot, and it is characterized in that: described guarded region comprises scenic spot entrance, restricted driving district, scenic spot, hazardous area, scenic spot, arterial highway, scenic spot.
7. as described in claim 5 or 6 scenic spot safe early warning intelligent video monitoring system is carried out the method for monitoring to scenic spot, it is characterized in that: security information management system carries out Real Time Monitoring to the scenic spot equipment state, scenic spot Equipment Foundations information, scenic spot overhaul of the equipments information, scenic spot status information of equipment, passenger flow information real-time Transmission to scenic spot safe early warning monitoring central server.
8. scenic spot as claimed in claim 5 safe early warning intelligent video monitoring system is carried out the method for monitoring to scenic spot, it is characterized in that: described video front Monitor And Control Subsystem comprises the network video server subsystem, described network video server subsystem is taken in video analog signal by camera, analog signal is changed into digital signal, and transfer of data is arrived the intelligent video analysis subsystem.
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| CN109495718A (en) * | 2018-11-02 | 2019-03-19 | 深圳市北斗智能科技有限公司 | Monitor video acquisition methods, device and computer readable storage medium |
| CN109660755A (en) * | 2018-11-13 | 2019-04-19 | 苏州网信信息科技股份有限公司 | It deploys to ensure effective monitoring and control of illegal activities the method for real-time monitoring of net system applied to scenic spot |
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| CN111126345A (en) * | 2020-01-03 | 2020-05-08 | 成都中科大旗软件股份有限公司 | Passenger flow volume online monitoring analysis platform |
| CN112911212A (en) * | 2020-12-22 | 2021-06-04 | 安徽东方风景建设有限公司 | Scenic spot command system and method based on big data processing |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080169932A1 (en) * | 2007-01-17 | 2008-07-17 | Graco Children's Products Inc. | Vibration Alert Method and Monitor System |
| CN202203046U (en) * | 2011-08-09 | 2012-04-25 | 吴建华 | Comprehensive data integration processing device for wind power safety intelligent early-warning emergency system |
| CN102542732A (en) * | 2010-12-08 | 2012-07-04 | 中国电信股份有限公司 | Method and system for monitoring and early warning of natural disasters |
| CN102857741A (en) * | 2012-09-24 | 2013-01-02 | 天津市亚安科技股份有限公司 | Prewarning positioning monitoring device of multi-directional monitoring area |
-
2013
- 2013-08-06 CN CN2013103408395A patent/CN103391432A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080169932A1 (en) * | 2007-01-17 | 2008-07-17 | Graco Children's Products Inc. | Vibration Alert Method and Monitor System |
| CN102542732A (en) * | 2010-12-08 | 2012-07-04 | 中国电信股份有限公司 | Method and system for monitoring and early warning of natural disasters |
| CN202203046U (en) * | 2011-08-09 | 2012-04-25 | 吴建华 | Comprehensive data integration processing device for wind power safety intelligent early-warning emergency system |
| CN102857741A (en) * | 2012-09-24 | 2013-01-02 | 天津市亚安科技股份有限公司 | Prewarning positioning monitoring device of multi-directional monitoring area |
Non-Patent Citations (2)
| Title |
|---|
| 王伟嘉: "《智能视觉监控中的运动目标跟踪技术及应用研究》", 《信息科技辑》 * |
| 谢征宇，董宝田: "《基于视频监控的高铁客运枢纽行人安全预警系统研究》", 《物流技术》 * |
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