CN109982042B - Method and system for acquiring key video information of abnormal event in logistics transportation process - Google Patents

Method and system for acquiring key video information of abnormal event in logistics transportation process Download PDF

Info

Publication number
CN109982042B
CN109982042B CN201910250666.5A CN201910250666A CN109982042B CN 109982042 B CN109982042 B CN 109982042B CN 201910250666 A CN201910250666 A CN 201910250666A CN 109982042 B CN109982042 B CN 109982042B
Authority
CN
China
Prior art keywords
video
abnormal
acquisition module
trigger signal
seconds
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.)
Active
Application number
CN201910250666.5A
Other languages
Chinese (zh)
Other versions
CN109982042A (en
Inventor
马胤刚
蒋辉
胡冬华
杨娟
段成云
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.)
Shenyang Seic Information Technology Co ltd
Original Assignee
Shenyang Seic Information Technology Co ltd
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 Shenyang Seic Information Technology Co ltd filed Critical Shenyang Seic Information Technology Co ltd
Priority to CN201910250666.5A priority Critical patent/CN109982042B/en
Publication of CN109982042A publication Critical patent/CN109982042A/en
Application granted granted Critical
Publication of CN109982042B publication Critical patent/CN109982042B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/85Assembly of content; Generation of multimedia applications
    • H04N21/854Content authoring
    • H04N21/8547Content authoring involving timestamps for synchronizing content
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/04Synchronising
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment
    • H04N5/262Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/265Mixing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/76Television signal recording
    • H04N5/91Television signal processing therefor
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

The invention discloses a method and a system for acquiring key video information of an abnormal event in a logistics transportation process, wherein the acquisition method comprises the steps of firstly powering on a video acquisition module, continuously acquiring and storing video data of transported goods; and then continuously acquiring video data of the transported goods, judging whether an abnormal trigger signal exists or not, if so, merging the video data, taking the timestamp information in the last abnormal trigger signal as a middle point, intercepting m seconds of video data before and after the last abnormal trigger signal, sending the video data to a remote monitoring platform, clearing an abnormal trigger signal mark, storing the merged video data, covering the data in the local data buffer area by using the video data acquired in S2, and if not, directly covering the data in the local data buffer area by using the video data acquired in S2. The method for acquiring the key video information of the abnormal event in the logistics transportation process can acquire the key video information of the on-site abnormal event in time when the abnormal event occurs.

Description

Method and system for acquiring key video information of abnormal event in logistics transportation process
Technical Field
The invention relates to the field of logistics transportation of major equipment and hazardous chemicals, and particularly provides a method and a system for acquiring key video information of an abnormal event in a logistics transportation process.
Background
With the rapid development of economic construction in China, the major equipment and hazardous chemical substance logistics transportation industry is rapidly developed, and the following safety accidents such as collision, impact, overspeed, loss of connection, leakage and the like of transportation vehicles frequently occur, so that a series of transportation safety problems are brought.
At present, in domestic major equipment and dangerous chemical logistics transportation tasks, a camera is usually adopted for local recording or remote whole-course monitoring is realized by uploading image information in real time, however, the monitoring mode is not targeted, and interception and timely remote reporting of video information of abnormal event key points cannot be realized.
Therefore, a method for acquiring the key video information of the abnormal time in the logistics transportation process is developed, so that when an abnormal event occurs, the remote monitoring platform can acquire the key video information of the on-site abnormal event in time, and the problem to be solved is urgently needed.
Disclosure of Invention
In view of this, the invention aims to provide a method and a system for acquiring key video information of an abnormal event in a logistics transportation process, so as to solve the problems that the existing acquisition method is poor in pertinence and cannot acquire the key video information of the abnormal event on site in time, and therefore emergency measures cannot be taken quickly and accurately.
The invention provides a method for acquiring key video information of an abnormal event in a logistics transportation process, which comprises the following steps:
s1: the power-on video acquisition module is used for continuously acquiring n seconds of video data of the transported goods and storing the n seconds of video data into a local data buffer area;
s2: continuously acquiring n seconds of video data of the transported goods by the video acquisition module, then judging whether an abnormal trigger signal exists according to an abnormal trigger signal mark, if so, executing S3, otherwise, executing S5, wherein the abnormal trigger signal is sent by the vibration acquisition module and comprises corresponding timestamp information;
s3: combining the n seconds of video data collected in the S2 with the n seconds of video data in the local data buffer area, taking the timestamp information in the last abnormal trigger signal as an intermediate point of the combined 2n seconds of video data, respectively intercepting m seconds of video data before and after the combined 2n seconds of video data, sending the m seconds of video data to a remote monitoring platform, and clearing an abnormal trigger signal mark, wherein m is less than n;
s4: storing the merged 2n seconds of video data into a local abnormal event folder as abnormal event video record;
s5: covering n seconds of video data in the local data buffer area with the n seconds of video data collected in the S2;
s6: s2 to S5 are repeatedly executed until the monitoring of the abnormality information is ended.
Preferably, the abnormal trigger signal in S2 is sent by the vibration acquisition module, after S1 is executed, the vibration acquisition module is powered on, and after performing clock synchronization with the video acquisition module, vibration data of the transported goods are acquired in real time, and if the vibration data exceeds a preset alarm threshold, the abnormal trigger signal is sent to the video acquisition module after t seconds are delayed, and meanwhile, an abnormal trigger signal flag is set, where t is greater than m and less than n.
More preferably, t is 3.
More preferably, n is 10 and m is 2.5.
Further preferably, the video acquisition module is in signal connection with the remote monitoring platform through a 4G network communication module.
The invention also provides an abnormal information acquisition system in the logistics transportation process, which is used for executing the method for acquiring the key video information of the abnormal event in the logistics transportation process, and comprises the following steps: the controller comprises a controller, a video acquisition module, a vibration acquisition module, a local data buffer area and an abnormal trigger signal mark storage, wherein the video acquisition module, the vibration acquisition module, the local data buffer area and the abnormal trigger signal mark storage are all connected with the controller, the video acquisition module is used for acquiring video information of transported goods, the vibration acquisition module is used for acquiring vibration data of the transported goods, the local data buffer area is used for caching the video data of the transported goods, and the abnormal trigger signal mark storage is used for storing abnormal trigger signal marks.
According to the method for acquiring the key video information of the abnormal event in the logistics transportation process, the timestamp information contained in the abnormal trigger signal is recorded and utilized, the video information most relevant to the abnormal event is intercepted and uploaded to the remote monitoring platform, so that the most effective abnormal information can be obtained at the remote monitoring platform end at the first time, and further, emergency measures can be rapidly and accurately made
Drawings
The invention is described in further detail below with reference to the following figures and embodiments:
FIG. 1 is a flow chart of a method for acquiring key video information of an abnormal event in a logistics transportation process according to the present invention;
fig. 2 is a block diagram of the structure of the abnormal information collection system in the logistics transportation process provided by the invention.
Detailed Description
The invention will be further explained with reference to specific embodiments, without limiting the invention.
As shown in fig. 1, the invention provides a method for acquiring key video information of an abnormal event in a logistics transportation process, which comprises the following steps:
s1: the system comprises a power-on video acquisition module, a local data buffer area and a data processing module, wherein the power-on video acquisition module is used for continuously acquiring n seconds of video data of transported goods and storing the n seconds of video data into the local data buffer area, and n is preferably 10;
s2: the video acquisition module continuously acquires n seconds of video data of the transported goods, then judges whether an abnormal trigger signal exists according to the abnormal trigger signal mark, if so, executes S3, otherwise, executes S5, wherein the abnormal trigger signal is sent by the vibration acquisition module, and the abnormal trigger signal comprises corresponding timestamp information;
s3: combining the n seconds of video data collected in the S2 with the n seconds of video data in the local data buffer area, taking the timestamp information in the last abnormal trigger signal as a middle point of the combined 2n seconds of video data, respectively intercepting m seconds of video data before and after the combined 2n seconds of video data, sending the intercepted m seconds of video data to a remote monitoring platform, and clearing an abnormal trigger signal mark, wherein m is less than n, and preferably is 2.5;
s4: storing the merged 2n seconds of video data into a local abnormal event folder as abnormal event video record;
s5: covering n seconds of video data in the local data buffer area with the n seconds of video data collected in the S2;
s6: s2 to S5 are repeatedly executed until the monitoring of the abnormality information is ended.
According to the key video information acquisition method for the logistics transportation abnormal event, timestamp information contained in the abnormal trigger signal is recorded and utilized, video information most relevant to the abnormal event is intercepted and uploaded to a remote monitoring platform, so that the remote monitoring platform can obtain most effective abnormal information at the first time, and then emergency measures can be made quickly and accurately.
The abnormal triggering signal in the step S2 is sent by the vibration acquisition module, after the step S1 is executed, the vibration acquisition module is powered on, and after the vibration acquisition module and the video acquisition module are subjected to clock synchronization, vibration data of the transported goods are acquired in real time, and if the vibration data exceeds a preset alarm threshold, the abnormal triggering signal is sent to the video acquisition module after t seconds is delayed, and meanwhile, an abnormal triggering signal flag is set, where t is greater than m, less than n, and preferably 3.
The video acquisition module is in signal connection with the remote monitoring platform through the 4G network communication module.
As shown in fig. 2, the present invention further provides an abnormal information collecting system in the logistics transportation process, including: the system comprises a controller 1, a video acquisition module 2, a vibration acquisition module 3, a local data buffer area 4 and an abnormal trigger signal mark storage 5, wherein the video acquisition module 2, the vibration acquisition module 3, the local data buffer area 4 and the abnormal trigger signal mark storage 5 are all connected with the controller 1, the video acquisition module 2 is used for acquiring video information of transported goods, the vibration acquisition module 3 is used for acquiring vibration data of the transported goods, the local data buffer area 4 is used for caching the video data of the transported goods, the abnormal trigger signal mark storage 5 is used for storing an abnormal trigger signal mark, and the acquisition system can execute the acquisition method.
The video acquisition module is in signal connection with the remote monitoring platform through the 4G network communication module 6.
The embodiments of the present invention have been written in a progressive manner with emphasis placed on the differences between the various embodiments, and similar elements may be found in relation to each other.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.

Claims (5)

1. The method for acquiring the key video information of the abnormal event in the logistics transportation process is characterized by comprising the following steps of:
s1: the power-on video acquisition module is used for continuously acquiring n seconds of video data of the transported goods and storing the n seconds of video data into a local data buffer area;
s2: continuously acquiring n seconds of video data of the transported goods by the video acquisition module, then judging whether an abnormal trigger signal exists according to an abnormal trigger signal mark, if so, executing S3, otherwise, executing S5, wherein the abnormal trigger signal is sent by the vibration acquisition module and comprises corresponding timestamp information;
s3: combining the n seconds of video data collected in the S2 with the n seconds of video data in the local data buffer area, taking the timestamp information in the last abnormal trigger signal as an intermediate point of the combined 2n seconds of video data, respectively intercepting m seconds of video data before and after the combined 2n seconds of video data, sending the m seconds of video data to a remote monitoring platform, and clearing an abnormal trigger signal mark, wherein m is less than n;
s4: storing the merged 2n seconds of video data into a local abnormal event folder as abnormal event video record;
s5: covering n seconds of video data in the local data buffer area with the n seconds of video data collected in the S2;
s6: repeatedly executing S2-S5 until the monitoring of the abnormal information is finished;
and the abnormal trigger signal in the S2 is sent by the vibration acquisition module, after the S1 is executed, the vibration acquisition module is powered on, the vibration acquisition module and the video acquisition module are subjected to clock synchronization, vibration data of the transported goods are acquired in real time, if the vibration data exceed a preset alarm threshold value, the abnormal trigger signal is sent to the video acquisition module after t seconds, and meanwhile, an abnormal trigger signal mark is set, wherein t is larger than m and smaller than n.
2. The method for acquiring key video information of the abnormal event in the logistics transportation process as claimed in claim 1, wherein: t is 3.
3. The method for acquiring key video information of the abnormal event in the logistics transportation process as claimed in claim 1, wherein: n is 10 and m is 2.5.
4. The method for acquiring key video information of the abnormal event in the logistics transportation process as claimed in claim 1, wherein: the video acquisition module is in signal connection with the remote monitoring platform through a 4G network communication module.
5. The system for acquiring abnormal information in the logistics transportation process is used for executing the method for acquiring the key video information of the abnormal event in the logistics transportation process, and is characterized by comprising the following steps: the device comprises a controller (1), a video acquisition module (2), a vibration acquisition module (3), a local data buffer area (4) and an abnormal trigger signal mark storage (5), wherein the video acquisition module (2), the vibration acquisition module (3), the local data buffer area (4) and the abnormal trigger signal mark storage (5) are all connected with the controller (1), the video acquisition module (2) is used for acquiring video information of transported goods, the vibration acquisition module (3) is used for acquiring vibration data of the transported goods, the local data buffer area (4) is used for caching the video data of the transported goods, and the abnormal trigger signal mark storage (5) is used for storing abnormal trigger signal marks.
CN201910250666.5A 2019-03-29 2019-03-29 Method and system for acquiring key video information of abnormal event in logistics transportation process Active CN109982042B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910250666.5A CN109982042B (en) 2019-03-29 2019-03-29 Method and system for acquiring key video information of abnormal event in logistics transportation process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910250666.5A CN109982042B (en) 2019-03-29 2019-03-29 Method and system for acquiring key video information of abnormal event in logistics transportation process

Publications (2)

Publication Number Publication Date
CN109982042A CN109982042A (en) 2019-07-05
CN109982042B true CN109982042B (en) 2021-03-19

Family

ID=67081725

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910250666.5A Active CN109982042B (en) 2019-03-29 2019-03-29 Method and system for acquiring key video information of abnormal event in logistics transportation process

Country Status (1)

Country Link
CN (1) CN109982042B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005298095A (en) * 2004-04-08 2005-10-27 Mitsubishi Electric Building Techno Service Co Ltd Abnormality detector of elevator
CN103280063A (en) * 2013-05-03 2013-09-04 中北大学 Parameter monitoring system for dangerous goods transport
CN106228332A (en) * 2016-08-11 2016-12-14 电信科学技术第四研究所 A kind of dangerous chemical industry feed stream WMS based on Internet of Things and method

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104835272A (en) * 2015-06-03 2015-08-12 国家电网公司 High-voltage power transmission iron tower antitheft system
CN104925614B (en) * 2015-06-26 2017-07-07 广州日滨科技发展有限公司 A kind of elevator malfunction failure monitoring system
CN105809868B (en) * 2016-04-07 2018-02-16 河海大学常州校区 A kind of campus burglary-resisting system and method based on RFID technique

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005298095A (en) * 2004-04-08 2005-10-27 Mitsubishi Electric Building Techno Service Co Ltd Abnormality detector of elevator
CN103280063A (en) * 2013-05-03 2013-09-04 中北大学 Parameter monitoring system for dangerous goods transport
CN106228332A (en) * 2016-08-11 2016-12-14 电信科学技术第四研究所 A kind of dangerous chemical industry feed stream WMS based on Internet of Things and method

Also Published As

Publication number Publication date
CN109982042A (en) 2019-07-05

Similar Documents

Publication Publication Date Title
CN108444727B (en) Vehicle remote monitoring method, monitoring device and monitoring system
CN101716945B (en) Railway locomotive axle infrared thermal image monitoring method and system
CN104240324A (en) Routing inspection method, handheld routing inspection terminal and routing inspection server
US8935039B2 (en) Method for reducing detection data of a monitoring device in a vehicle, and method for monitoring a vehicle defect in near real time using same
CN110807460A (en) Transformer substation intelligent patrol system based on image recognition and application method thereof
CN105069566A (en) Power transmission and transformation project safety and quality inspection and management equipment
Nascimento et al. An integrated inspection system for belt conveyor rollers
CN107175691A (en) A kind of online fault detect of robot and maintaining method
CN108012119B (en) Real-time video transmission method, transmission system and readable storage medium
CN107657682A (en) A kind of power transformation method for inspecting based on augmented reality
CN104700228A (en) Public pipe gallery inspection management system based on Android
CN109982042B (en) Method and system for acquiring key video information of abnormal event in logistics transportation process
CN112702568B (en) Abnormality detection method and related device
CN113483815A (en) Mechanical fault monitoring system based on industrial big data
CN110888782A (en) Device processing method, system, electronic device and computer readable storage medium
CN114007040A (en) Oil-gas video safety monitoring method and device based on edge intelligent calculation
CN201263197Y (en) Video monitoring and alarm network management system
CN112666911A (en) Cooperative control system
CN113466077A (en) Airplane strength test debugging method and system
JPH1048099A (en) Patrol supporting system
CN111553497A (en) Equipment working state detection method and device of multimedia terminal
CN103226349A (en) Device for monitoring construction site muck car
CN209946960U (en) Vehicle monitoring system and vehicle
KR102626346B1 (en) Method and apparatus for detecting whether a machine tool is in a state of wear and tear
KR101211372B1 (en) The Method Of Reducing Data Using Deviation Rule For Quasi-Realtime Processing In Health Monitoring Of Vehicles

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
GR01 Patent grant