CN116229684A - Accumulated water backflow subway platform risk early warning method and system - Google Patents

Accumulated water backflow subway platform risk early warning method and system Download PDF

Info

Publication number
CN116229684A
CN116229684A CN202310233637.4A CN202310233637A CN116229684A CN 116229684 A CN116229684 A CN 116229684A CN 202310233637 A CN202310233637 A CN 202310233637A CN 116229684 A CN116229684 A CN 116229684A
Authority
CN
China
Prior art keywords
early warning
ponding
subway
subway station
monitoring
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
Application number
CN202310233637.4A
Other languages
Chinese (zh)
Other versions
CN116229684B (en
Inventor
伍彬彬
史聪灵
车洪磊
丁嘉伟
王超
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.)
China Academy of Safety Science and Technology CASST
Original Assignee
China Academy of Safety Science and Technology CASST
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Academy of Safety Science and Technology CASST filed Critical China Academy of Safety Science and Technology CASST
Priority to CN202310233637.4A priority Critical patent/CN116229684B/en
Priority claimed from CN202310233637.4A external-priority patent/CN116229684B/en
Publication of CN116229684A publication Critical patent/CN116229684A/en
Application granted granted Critical
Publication of CN116229684B publication Critical patent/CN116229684B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Alarm Systems (AREA)

Abstract

The invention provides a risk early warning system for a ponding and backflow subway platform, which comprises a patrol camera, a monitoring camera, a scene ponding monitoring camera, a weather and flood control information collection module and a data analysis early warning module; a patrol camera or a monitoring camera is arranged at the entrance of the subway station and used for monitoring the ponding condition at the entrance of the subway station; a scene monitoring camera is arranged in the subway station and used for monitoring the ponding condition in the subway station; the weather and flood control information collection module is used for obtaining weather information and flood control data of subway stations; the data analysis early warning module is connected with the inspection camera, the monitoring camera, the scene ponding monitoring camera and the weather and flood control information collecting module, and judges ponding conditions according to video data; the working modes of the risk early warning system comprise a primary monitoring mode, a secondary monitoring mode, an early warning mode and an alarm mode.

Description

Accumulated water backflow subway platform risk early warning method and system
Technical Field
The invention relates to a risk early warning method and a risk early warning system, in particular to a risk early warning method and a risk early warning system for a ponding backward flow subway platform.
Background
Heavy rainfall weather may cause flood disasters, and tunnel and subway scenes are easy to have ponding and backflow due to lower topography, so that important early warning is needed. In the subway scene early warning, the ponding submerges subway steps and is an important warning line, so that decision references can be provided for emergency management and scheduling. The existing risk early warning system focuses on measures such as treatment measures, setting of flood gates, and interruption of subway operation. But less research is done on how to achieve reasonable early warning. The realization of reasonable early warning requires the collection of key data and scientific processing, and secondly, unnecessary loss caused by misjudgment is avoided; again, the cost of system operation is also considered.
Disclosure of Invention
The invention provides a risk early warning method for a ponding backward-flowing subway platform, which comprises the following steps:
s1: analyzing a scheduled subway station entrance and a ponding state in the subway station by using the timing video;
s2: judging whether water is accumulated in the subway station and at the entrance of the preset subway station, and if water is accumulated in the subway station, executing a step S3; if water is accumulated at the inlet of at least one preset subway station, executing the step S4;
s3: collecting video data of all subway station entrances;
s31: judging whether water is accumulated at the inlet of at least one subway station, if so, executing the step S32, otherwise, returning to the step S3;
s32: judging whether the accumulated water floods the entrance step of the subway station, if so, executing the step S6, and if not, executing the step S5;
s4: judging whether the ponding is flooded with the predetermined subway station entrance steps without ponding, if so, executing the step S6, and if not, executing the step S5;
s5: collecting meteorological and flood control data, judging whether the risk of water accumulation and backward flowing of the subway station exists, and if yes, executing a step S6;
s6: and sending out alarm information.
The invention also provides a risk early warning system for the ponding backward-flowing subway platform, which comprises a patrol camera, a monitoring camera, a scene ponding monitoring camera, a weather and flood control information collection module and a data analysis early warning module;
a patrol camera or a monitoring camera is arranged at the entrance of the subway station and used for monitoring the ponding condition at the entrance of the subway station;
a scene monitoring camera is arranged in the subway station and used for monitoring the ponding condition in the subway station;
the weather and flood control information collection module is used for obtaining weather information and flood control data of subway stations;
the data analysis early warning module is connected with the inspection camera, the monitoring camera, the scene ponding monitoring camera and the weather and flood control information collecting module, and judges ponding conditions according to video data;
the working modes of the risk early warning system comprise a primary monitoring mode, a secondary monitoring mode, an early warning mode and an alarm mode.
Further, in a primary monitoring mode, the data analysis early warning module regularly analyzes video data of the inspection camera and the scene ponding monitoring camera;
when water is accumulated in the video data display station of the monitoring camera according to the scene water accumulation, starting video data analysis of the monitoring camera, enabling the risk early warning system to enter a secondary monitoring mode, and enabling the data analysis early warning module to process and analyze video data of the inspection camera and video data of the monitoring camera to judge the water accumulation condition at the subway entrance;
in the primary monitoring mode or the secondary monitoring mode, when the accumulated water at the entrance of at least one subway submerges the steps, the risk of accumulated water backflow in the subway station is indicated, and the risk early warning system is switched into the warning mode; when the ponding at all subway inlets does not submerge the steps, but at least one subway inlet has ponding, the risk of potential ponding backflow in the subway station is indicated, and the risk early warning system is switched into an early warning mode.
Further, in the early warning mode, the weather and flood control information collection module collects weather and flood control data at fixed time, the data analysis early warning module judges whether the risk of water accumulation and backflow exists in the subway station according to the collected weather and flood control data, and if the risk of backflow exists, the risk early warning system is switched into the alarm mode.
Further, the weather data comprises rainfall forecast information, weather forecast information and weather early warning release information; flood control data comprises the drainage capacity in the subway station, the opening proportion of the drainage pump and the water level of the drainage well in the station.
Further, the alarm mode comprises the step of informing subway management personnel through mails, telephones and short messages.
According to the invention, a two-stage monitoring mode is adopted, and all video information at the subway entrance is processed under certain conditions, so that resources are effectively saved; meanwhile, by means of a video analysis technology, the ponding condition at the subway entrance is judged, so that the risk of ponding flowing backward the subway platform is accurately judged, and the meteorological conditions and the drainage conditions in the subway station are comprehensively considered, so that an accurate and timely alarm is achieved, and the accuracy of risk early warning and air defense is improved.
Drawings
FIG. 1 is a schematic diagram of a subway station;
FIG. 2 is a schematic diagram of a risk early warning system for a ponding backward flowing subway platform;
FIG. 3 is a schematic diagram of the working mode of the risk early warning system of the ponding backward flowing subway platform;
fig. 4 is a flow chart of a risk early warning method for a subway station by water accumulation and backflow.
Detailed Description
Referring to fig. 1, a subway station has a step at an entrance, a camera 1 is installed at the entrance, if there is water accumulation, the water accumulation is accumulated outside the step at the entrance of the subway, at this time, the camera 1 can determine the water accumulation condition at the entrance of the subway through video analysis (for example, through image recognition of step lines, etc., belonging to the prior art, the current deep learning pattern recognition algorithm can be implemented, for example, "WaterSegmentationwithDeepLearningModelsforFlood DetectionandMonitoring", mirkoZaffaroni, etc., procedingsofthe 17th ISCRAMConference-Blacksburg, VA, usamy 2020). In a subway station, for example in a platform area or in a hall area, a scene ponding monitoring camera 2 is arranged for monitoring ponding conditions in the subway station. In practice, there are a plurality of subway entrances, and thus a plurality of cameras 1 and a plurality of scene water monitoring cameras 2 in a subway station are used for monitoring different areas in the subway station. According to the working mode, the camera 1 at the entrance of the subway station can be divided into a patrol camera and a monitoring camera, the risk early warning system processes the data of the patrol camera at regular time, and the data of the monitoring camera is processed according to the requirement, so that the processing load of the system is reduced.
Referring to fig. 1-3, the ponding backward flow subway station risk early warning system comprises a patrol camera, a monitoring camera, a scene ponding monitoring camera, a weather and flood control information collection module and a data analysis early warning module; a patrol camera or a monitoring camera is arranged at the entrance of the subway station and used for monitoring the ponding condition at the entrance of the subway station; a scene monitoring camera is arranged in the subway station and used for monitoring the ponding condition in the subway station; the weather and flood control information collection module is used for obtaining weather information and flood control data of subway stations; the data analysis early warning module is connected with the inspection camera, the monitoring camera, the scene ponding monitoring camera and the weather and flood control information collecting module, and judges ponding conditions according to video data; the working modes of the risk early warning system comprise a primary monitoring mode, a secondary monitoring mode, an early warning mode and an alarm mode.
Under the general condition, the system works in a primary monitoring mode, and the data analysis early warning module regularly analyzes video data of the inspection camera and the scene ponding monitoring camera; when ponding exists in the video data display station of the monitoring camera according to the scene ponding, the situation that the risk of ponding exists is indicated, for example, ponding backflow occurs at a subway entrance where the monitoring camera is located, therefore, the system starts video data analysis of the monitoring camera, and the risk early warning system enters a secondary monitoring mode. At the moment, the monitoring camera is in the same position as the inspection camera, namely, the video data of the monitoring camera can be included for analysis, and the ponding condition at the subway entrance is judged.
In the primary monitoring mode or the secondary monitoring mode, when the accumulated water at the entrance of at least one subway submerges the steps, the risk of accumulated water backflow in the subway station is indicated, and the risk early warning system is switched into the warning mode; when the ponding at all subway inlets does not submerge the steps, but at least one subway inlet has ponding, the risk of potential ponding backflow in the subway station is indicated, and the risk early warning system is switched into an early warning mode.
In the early warning mode, accumulated water exists at the steps of the subway entrance, but the steps are not submerged, but the steps are submerged in future time along with the deepening of the accumulated water, the weather change and the like, so that backflow occurs. Therefore, weather and flood control information are required to be collected for pre-judgment, and weather data comprise rainfall forecast information, weather forecast information and weather early warning release information; flood control data comprise the drainage capacity in the subway station, the opening proportion of the drainage pump, the water level of the drainage well in the station and the like. According to the rainfall change in a future period and the drainage capacity of the subway station, whether the water backflow occurs in a certain period can be judged, and if the water backflow risk is judged, the system enters an alarm mode; if not, monitoring is still performed in the early warning mode until the triggering condition of the early warning mode is not met.
In the same way, the second-level monitoring mode returns to the first-level monitoring mode to execute the normalized monitoring after the triggering condition is not satisfied.
The alarm mode comprises informing subway management staff through mails, telephones and short messages.
Referring to fig. 4, the risk early warning method for the ponding backward flowing subway platform comprises the following steps:
s1: analyzing a scheduled subway station entrance and a ponding state in the subway station by using the timing video;
s2: judging whether water is accumulated in the subway station and at the entrance of the preset subway station, and if water is accumulated in the subway station, executing a step S3; if water is accumulated at the inlet of at least one preset subway station, executing the step S4;
s3: collecting video data of all subway station entrances;
s31: judging whether water is accumulated at the inlet of at least one subway station, if so, executing the step S32, otherwise, returning to the step S3;
s32: judging whether the accumulated water floods the entrance step of the subway station, if so, executing the step S6, and if not, executing the step S5;
s4: judging whether the ponding is flooded with the predetermined subway station entrance steps without ponding, if so, executing the step, otherwise, executing the step S5;
s5: collecting meteorological and flood control data, judging whether the risk of water accumulation and backward flowing of the subway station exists, and if yes, executing a step S6;
s6: and sending out alarm information.
In step S2, it is determined whether there is water accumulation in the subway station, and whether there is water accumulation in the entrance of the subway station is determined simultaneously, and there is no obvious sequence, which is only for illustration, and whether there is water accumulation in the subway station is performed in advance.
In the method, the predetermined subway station entrance is usually a subway station entrance in a patrol state, namely, video information of the subway station entrance is always collected; also, the subway entrance may collect video information only when water accumulation occurs in the subway station, and "all subway station entrances" refer to predetermined subway station entrances and non-predetermined subway station entrances.
According to the invention, the cameras at the subway entrance are divided into two types, namely inspection and monitoring, the inspection cameras are subjected to normalization processing, and the monitoring cameras are processed according to the needs, so that system resources are saved. And the video analysis technology is adopted to judge the ponding condition at the subway entrance, so that the risk of ponding flowing backward to the subway platform is accurately judged. Meteorological conditions and drainage conditions in subway stations are comprehensively considered, accurate and timely alarm is achieved, and therefore accuracy of risk early warning and air defense is improved.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (6)

1. The method for warning the risk of the ponding backward-flowing subway platform is characterized by comprising the following steps of:
s1: analyzing a scheduled subway station entrance and a ponding state in the subway station by using the timing video;
s2: judging whether water is accumulated in the subway station and at the entrance of the preset subway station, and if water is accumulated in the subway station, executing a step S3; if water is accumulated at the inlet of at least one preset subway station, executing the step S4;
s3: collecting video data of all subway station entrances;
s31: judging whether water is accumulated at the inlet of at least one subway station, if so, executing the step S32, otherwise, returning to the step S3;
s32: judging whether the accumulated water floods the entrance step of the subway station, if so, executing the step S6, and if not, executing the step S5;
s4: judging whether the ponding is flooded with the predetermined subway station entrance steps without ponding, if so, executing the step S6, and if not, executing the step S5;
s5: collecting meteorological and flood control data, judging whether the risk of water accumulation and backward flowing of the subway station exists, and if yes, executing a step S6;
s6: and sending out alarm information.
2. The utility model provides a ponding backward flow subway platform risk early warning system which characterized in that: the system comprises a patrol camera, a monitoring camera, a scene ponding monitoring camera, a weather and flood control information collection module and a data analysis and early warning module;
a patrol camera or a monitoring camera is arranged at the entrance of the subway station and used for monitoring the ponding condition at the entrance of the subway station;
a scene monitoring camera is arranged in the subway station and used for monitoring the ponding condition in the subway station;
the weather and flood control information collection module is used for obtaining weather information and flood control data of subway stations;
the data analysis early warning module is connected with the inspection camera, the monitoring camera, the scene ponding monitoring camera and the weather and flood control information collecting module, and judges ponding conditions according to video data;
the working modes of the risk early warning system comprise a primary monitoring mode, a secondary monitoring mode, an early warning mode and an alarm mode.
3. The risk early warning system of claim 2, wherein:
in a primary monitoring mode, the data analysis early warning module regularly analyzes video data of the inspection camera and the scene ponding monitoring camera;
when water is accumulated in the video data display station of the monitoring camera according to the scene water accumulation, starting video data analysis of the monitoring camera, enabling the risk early warning system to enter a secondary monitoring mode, and enabling the data analysis early warning module to process and analyze video data of the inspection camera and video data of the monitoring camera to judge the water accumulation condition at the subway entrance;
in the primary monitoring mode or the secondary monitoring mode, when the accumulated water at the entrance of at least one subway submerges the steps, the risk of accumulated water backflow in the subway station is indicated, and the risk early warning system is switched into the warning mode; when the ponding at all subway inlets does not submerge the steps, but at least one subway inlet has ponding, the risk of potential ponding backflow in the subway station is indicated, and the risk early warning system is switched into an early warning mode.
4. A risk early warning system according to claim 3, characterized in that:
in the early warning mode, the weather and flood control information collection module collects weather and flood control data regularly, the data analysis early warning module judges whether the subway station has the risk of water accumulation and backflow according to the collected weather and flood control data, and if the subway station has the risk of backflow, the risk early warning system is switched into the alarm mode.
5. The risk early warning system of claim 4, wherein: the weather data comprises rainfall forecast information, weather forecast information and weather early warning release information; flood control data comprises the drainage capacity in the subway station, the opening proportion of the drainage pump and the water level of the drainage well in the station.
6. The risk early warning system according to any one of claims 2 to 5, characterized in that: the alarm mode includes: and informing subway management personnel through mail, telephone or short message.
CN202310233637.4A 2023-03-13 Accumulated water backflow subway platform risk early warning method and system Active CN116229684B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310233637.4A CN116229684B (en) 2023-03-13 Accumulated water backflow subway platform risk early warning method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310233637.4A CN116229684B (en) 2023-03-13 Accumulated water backflow subway platform risk early warning method and system

Publications (2)

Publication Number Publication Date
CN116229684A true CN116229684A (en) 2023-06-06
CN116229684B CN116229684B (en) 2024-05-31

Family

ID=

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116597619A (en) * 2023-07-18 2023-08-15 山东交控科技有限公司 Rail transit flood prevention early warning system based on artificial intelligence

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002269656A (en) * 2001-03-12 2002-09-20 Foundation Of River & Basin Integrated Communications Japan River information provision system
JP3175722U (en) * 2012-03-07 2012-05-24 株式会社キッスビー三興建設 Alarm system for water stop device
KR101351825B1 (en) * 2012-10-12 2014-01-17 주식회사 에코준컴퍼니 Mass transit stop shelter providing rain water and method for operating the same
JP2014234681A (en) * 2013-06-04 2014-12-15 株式会社大林組 Ground-water level lowering system
CN112255709A (en) * 2020-10-21 2021-01-22 中铁第四勘察设计院集团有限公司 Automatic lifting type flood monitoring device and method based on image recognition
CN213987762U (en) * 2020-11-19 2021-08-17 深圳大学 Molten iron disaster monitoring and early warning system
CN113623002A (en) * 2021-08-04 2021-11-09 安徽理工大学 Flood disaster early warning system and method for subway station hall and tunnel

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002269656A (en) * 2001-03-12 2002-09-20 Foundation Of River & Basin Integrated Communications Japan River information provision system
JP3175722U (en) * 2012-03-07 2012-05-24 株式会社キッスビー三興建設 Alarm system for water stop device
KR101351825B1 (en) * 2012-10-12 2014-01-17 주식회사 에코준컴퍼니 Mass transit stop shelter providing rain water and method for operating the same
JP2014234681A (en) * 2013-06-04 2014-12-15 株式会社大林組 Ground-water level lowering system
CN112255709A (en) * 2020-10-21 2021-01-22 中铁第四勘察设计院集团有限公司 Automatic lifting type flood monitoring device and method based on image recognition
CN213987762U (en) * 2020-11-19 2021-08-17 深圳大学 Molten iron disaster monitoring and early warning system
CN113623002A (en) * 2021-08-04 2021-11-09 安徽理工大学 Flood disaster early warning system and method for subway station hall and tunnel

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116597619A (en) * 2023-07-18 2023-08-15 山东交控科技有限公司 Rail transit flood prevention early warning system based on artificial intelligence
CN116597619B (en) * 2023-07-18 2023-09-19 山东交控科技有限公司 Rail transit flood prevention early warning system based on artificial intelligence

Similar Documents

Publication Publication Date Title
CN102842211B (en) Monitoring and early warning system and monitoring and early warning method for prevention of external force of transmission line based on image recognition
CN113155102B (en) River comprehensive treatment system
KR20100119476A (en) An outomatic sensing system for traffic accident and method thereof
CN101968848A (en) Video monitoring method and system and video monitoring alarm system
CN112269812A (en) Intelligent power distribution network safety monitoring management system based on big data
KR102140831B1 (en) Unmanned water treatment system using five senses technology when machine overloaded
CN111754786A (en) System for identifying traffic vehicle passing events on highway
CN112282819B (en) Comprehensive mining working face personnel target safety monitoring method and system based on vision
CN110110964A (en) A kind of ship and ferry supervisory systems based on deep learning
CN116229684B (en) Accumulated water backflow subway platform risk early warning method and system
CN106331615A (en) Intelligent traffic information acquisition system and static information acquisition method thereof
CN110809137A (en) Campus safety trampling prevention monitoring system and method
CN116229684A (en) Accumulated water backflow subway platform risk early warning method and system
CN112232235B (en) Intelligent factory remote monitoring method and system based on 5G sum algorithm
CN104123840A (en) Video detection technology based traffic density qualitative judging method
CN210666820U (en) Pedestrian abnormal behavior detection system based on DSP edge calculation
CN113436440A (en) Auxiliary early warning monitoring system for temporary parking
CN110517251B (en) Scenic spot area overload detection and early warning system and method
CN115830460A (en) Real-time monitoring method and system for river flood prevention
CN112987808B (en) Management method of management network and digital network management system
CN114594343A (en) Intelligent multifunctional on-line monitoring series device for distribution line and control method thereof
CN112907423A (en) Public safety supervisory systems in wisdom city
CN111381551A (en) Intelligent monitoring system and monitoring method for hydropower station downward discharge flow
CN113569673B (en) Low-power-consumption video monitoring mechanism for engineering machinery construction detection
CN116857572B (en) Intelligent water management method and system based on big data

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
GR01 Patent grant