CN108391086A - Fusion event perceives the industrial video linkage analysis method and system with position sensing - Google Patents
Fusion event perceives the industrial video linkage analysis method and system with position sensing Download PDFInfo
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- CN108391086A CN108391086A CN201810164757.2A CN201810164757A CN108391086A CN 108391086 A CN108391086 A CN 108391086A CN 201810164757 A CN201810164757 A CN 201810164757A CN 108391086 A CN108391086 A CN 108391086A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
Abstract
The invention discloses the industrial video linkage analysis method and systems of fusion event perception and position sensing, including：Cloud server end and several device ends with Cloud Server end communication；Wherein, device end acquires surrounding enviroment information, and the information of acquisition is uploaded to cloud server end, and obtains handling result and the instruction of cloud server end；Cloud server end, according to the data sent on each device end, personnel positioning is realized by the linkage with personnel positioning module, rescue guiding is realized by the linkage with rescue guiding module, early warning analysis is realized by the linkage with early warning analysis module, realize that industrial video is played and permanently stored by the linkage with industrial video memory module, by the data feedback of generation to device end；The present invention realizes the comprehensive displaying of factory's monitor video, carries out early warning and processing to industrial accident by many levels different angle, hedging escape route is generated when accident occurs and shows real-time pictures simultaneously.
Description
Technical field
The present invention relates to industrial video big data technical fields, more particularly to the work of fusion event perception and position sensing
Industry video interlink analysis method and system.
Background technology
In industrial safety-security area, main data source is video, different with the data of other industry structuring, video
It is a kind of non-structured data, directly cannot be handled or be analyzed by computer.Therefore, industry will carry out video big data
Using non-structured video data will being converted into what computer can be identified and be handled using Intellectual Analysis Technology first
Structured message could scan for these videos, compare, be analyzed by computer in this way.But earlier industry is looked forward to
There is no effective technological means for industry this work is unfolded.
In addition to video data it is unstructured other than, compared with other industry, the big data of industrial security protection industry also has
Characteristic feature, more stringent requirements are proposed to storage system for these features.For example the data volume of video is especially big, and also continuous
Increase, it is desirable to which storage system being capable of easily dilatation；The value density of video is low, and is real-time, continuously, slightly indulges i.e.
It dies, does not allow to lose, it is desirable to which the reliability of storage wants high；One PB grades of storage system hard disk just has thousands of or even tens of thousands of
Block, so more hard disks can may all have damage daily, if as soon as damage will be replaced and can be bothered very much, this proposes storage
Maintainable requirement；Since being industrial big data video, illustrate that having various users can go to access these video counts
According to so having requirements at the higher level etc. to concurrently accessing.Meeting above-mentioned requirements, traditional storage mode is helpless,
Only cloud storage could support.
Invention content
In order to solve the disadvantage that the prior art, the present invention provides a kind of easy to operate, and data are accurate, convenient for displaying based on
The industrial video linkage analysis method and system of event perception and position sensing.
To achieve the above object, the present invention uses following technical scheme：
Fusion event perceives the industrial video linkage analysis system with position sensing, including：Cloud server end and with cloud take
Several device ends of business device end communication；Wherein,
Device end acquires surrounding enviroment information, and the information of acquisition is uploaded to cloud server end, and obtains cloud service
The handling result at device end and instruction；
Cloud server end realizes personnel according to the data sent on each device end by the linkage with personnel positioning module
Positioning realizes rescue guiding by the linkage with rescue guiding module, early warning point is realized by the linkage with early warning analysis module
Analysis realizes that industrial video is played and permanently stored by the linkage with industrial video memory module, the data feedback of generation is given
Device end.
The cloud server end, including：Encryption/decryption module, the encryption/decryption module respectively with personnel positioning module, industry
Video storage modules, early warning analysis module, rescue guiding module and the communication of geographical space management module, the encryption/decryption module is also
It is communicated with device end.
The device end, including：Cloud client, the cloud client are solved by communication module and adding for cloud server end
Close module is communicated, the cloud client also respectively with identification module, locating module, human-computer interaction module, sensor
Module is communicated for energy control module and data bus interface, and identification module is connect with identification card；Data/address bus
Interface is connected with personal management module, industrial equipment management module respectively；It is connected with energy supply circuit for energy control module, institute
It states device end and reminds the equipment of unexpected abnormality the mobile terminal of related leader at the first time, and carry out processing and report cloud service
Device end.
The sensor assembly, including：Water level sensor, smoke sensor device, temperature sensor, humidity sensor and vibration
Sensor.
The encryption/decryption module is decrypted and parses to the data of reception, while the data of transmission are encrypted and being beaten
Packet；
The personnel positioning module receives the location information of construction personnel's positioning, while being stored to position coordinates；
The industrial video memory module be in the anomalous event real-time video and disk array recorded to device end under
The history anomalous video of load is stored.
The early warning analysis module, is trained neural network model using the historical data of equipment, using training
Neural network model current real time data is analyzed and determined, calculate current value and neural network model desired value it
Between deviation it is former to illustrate that equipment has certain class when deviation, which is more than setting range or deviation, has the tendency that lasting amplification
Hinder the symptom of a trend or degradation trend, in conjunction with surveillance video, finds out potential exception in industrial equipment and work progress, and provide solution
Certainly measure；
The neural network model is made of input layer, process neuron hidden layer and process neuron output layer, wherein
Input layer is used to complete the input of signal, and process neuron hidden layer is used to complete the spatial weighting polymerization and excitation of input signal
Operation, while output signal is transferred to output layer and by weighted feedback to input layer；Output layer is used for complete process neuron
The spatial weighting aggregation of hidden layer output signal and aminated polyepichlorohydrin and system output to the time.
The rescue guiding module positions the industrial equipment of construction personnel and fault warning, guides nearest rescue
Vehicle implements rescue, and generates hedging escape route, while recording and showing and monitoring picture in real time on route, by the video of recording
It stores in industrial video memory module.
The geographical space management module positions the building of industrial working, industrial equipment and camera, and by work
The location information of the building of industry plant area, industrial equipment and camera is stored, and the map that generating can interact is supplied to user, is
It rescues guiding module and hedging escape route displaying offer basic data is provided.
The communication module uses at least one communication mode including GPRS, EDGE, CDMA, 3G, 4G, WIFI to complete cloud
The data interaction of client and cloud server end；
The water level sensor is connect with cloud client using system bus, serial ports or Modbus modes, and industry is mounted on
Multiple and different positions of equipment measure the height of water level in setting range near industrial equipment.
The smoke sensor device is connect with cloud client using system bus, serial ports or Modbus modes, and industry is mounted on
Multiple and different positions of equipment measure the smokescope in setting range near industrial equipment.
The temperature sensor is connect with cloud client using system bus, serial ports or Modbus modes, and industry is mounted on
Multiple and different positions of equipment measure the temperature in setting range near industrial equipment.
The humidity sensor is connect with cloud client using system bus, serial ports or Modbus modes, and industry is mounted on
Multiple and different positions of equipment measure the humidity in setting range near industrial equipment.
The vibrating sensor is connect with cloud client using system bus, serial ports or Modbus modes, and industry is mounted on
Multiple and different positions of equipment measure the vibration frequency in setting range near industrial equipment.
The connecting and disconnecting for being used to complete industrial equipment energy supply for energy control module；
The identification module is connect using cordless with identification card, and the information in identification card is obtained；Body
Part identification card is following any card：IC card, RFID card, smart card, infrared read-write card and other be used to store the card of information；
The identification module is connect with cloud client using serial mode；
The locating module is connected with cloud client using system bus, acquires industrial construction personnel's present bit confidence in real time
Breath.
The human-computer interaction module, including：Camera, liquid crystal display, touch screen, keyboard, audio playing unit, completion
The information exchange of user and device end, receive operation, the instruction of user, and current industrial facility information, sensing are shown to user
Device data, cloud server end are back to the data of cloud client；
The data bus interface is connected with personal management module, industrial equipment management module, obtains constructor in real time
The current information data of member information data and industrial equipment.Affiliated data bus interface support but be not limited to CAN, Modbus,
485,232 bus interface.
Fusion event perceives the industrial video linkage analysis method with position sensing, and steps are as follows：
Step (1)：Cloud client acquires industrial environment data, is shown by human-computer interaction module；
Step (2)：Cloud client carries out preliminary analysis and judgement to the data of acquisition, if it is determined that data exception is then reported
It is alert, if abnormal data is more than given threshold, by cutting off equipment energy supply for energy control module, and warning message is sent to
The mobile terminal of department head, then cloud client by the data of acquisition by be uploaded to after encryption/decryption module packaging ciphering cloud clothes
Business device end；
Step (3)：After cloud server end receives the data of cloud client upload, abnormal number is determined whether again first
According to,
If abnormal data, rescue guiding module will generate the guiding rescue of hedging escape route, and transfer hedging escape road
The camera real-time pictures of line, video recording preserve anomalous event record；
If not abnormal data, then early warning analysis module carries out cloud server end early warning analysis；Cloud server end early warning point
Analysis is that the information in the data packet for uploading cloud client carries out data storage, and historical data is combined to carry out data mining, into
The comprehensive comprehensive pre-warning analysis of row.
Step (4)：Cloud server end is by the data back cloud client after early warning analysis module early warning analysis；Cloud client
The early warning analysis data received are shown to user；
Step (5)：On the basis of step (3), anomalous event video file persistence is stored into mould in industrial video
Block transfers the anomalous video details in set period of time in industrial video memory module, plays back the abnormal real-time video of industry
Or history anomalous video, for analyzing abnormal Producing reason；It is straight according to the event start time of record in event replay
It connects and navigates to the corresponding time, without watching entire video.
In the step (1), cloud client timing acquiring smoke sensor device, temperature sensor, humidity sensor, vibration pass
Sensor, water level sensor, identification module, locating module, human-computer interaction module, personal management module and industrial equipment management
The data of module.
In the step (2), cloud client judges collected data；Smokescope, temperature, humidity, vibration
Frequency or water level information are then energized for energy control module cut-out industrial equipment if it exceeds given threshold, meanwhile, send out alarm simultaneously
The mobile terminal of department head is notified by communication module, collected abnormal data is packaged and encapsulates by cloud client, by adding
It is uploaded to cloud server end after deciphering module packaging ciphering；
If being less than alert threshold, collected data are packaged and encapsulate by cloud client, by encryption/decryption module plus
Cloud server end is uploaded to after close；
In the step (3), after data that encryption/decryption module uploads cloud client are decrypted, and data solution is carried out
Analysis, cloud server end judge data class,
If abnormal data is uploaded to cloud server end by cloud client, cloud server end uses nerve trained in advance
Network model is judged, if judging result is still abnormal data, mould is guided by rescue according to the location information in data
Block guiding rescue generates the guiding rescue of hedging escape route, and transfers the camera tracking real-time pictures of hedging escape route, record
As preserving in industrial video memory module, and recording exceptional event information is to relevant database；
The geography information position data of rescue guiding module real-time reception construction personnel and breakdown lorry is simultaneously stored in
In the database that construction personnel and breakdown lorry position in real time, once rescue guiding module receives the letter of anomalous event generation
Number, the real-time reading position information of database just positioned in real time from construction personnel and breakdown lorry passes through the current of construction personnel
Position calculates all accesses that construction personnel goes out to leave anomalous event scene, obtains shortest escape route by comparing,
Minimal path is sent to the nearest breakdown lorry in distance construction personnel current location simultaneously, implements rescue, and guide in rescue
All real time monitoring pictures in modules exhibit route and escape route realize the real-time record to the monitor video of anomalous event
System, and simultaneously store the video of recording into industrial video memory module.
If normal data is uploaded to cloud server end by cloud client, cloud server end uses nerve trained in advance
Network model is judged, if judging result is abnormal data, early warning analysis module will send out early warning, notify the shifting of department head
Dynamic terminal, and the mobile terminal that camera real-time pictures are sent to department head is transferred, video recording preserves to industrial video and stores mould
In block, and recording exceptional event information is to relevant database, the data transferred when as playback anomalous video；As without exception,
Cloud client receives the result of cloud server end return and stops alarm.
In the step (4), cloud server end is returned after encrypting the data after early warning analysis by data encrypting and deciphering module
Pass cloud client；After the decryption of cloud client call data encrypting and deciphering module, data exhibition is carried out to user by human-computer interaction module
Show the data received.
In the step (5), by anomalous event video file persistence in industrial video memory module,
Real-time video is recorded, is recorded live video stream at MP4 formatted files by real time streaming transport protocol RTSP,
And store information into relevant database, while it being transmitted to the distributed file system HDFS of industrial video memory module,
The real-time video of recording is stored into the distributed file system HDFS of industrial video memory module, is realized for anomalous event
The real-time video of recording permanently stores；
It is different by reading the abnormal events information being stored in relevant database acquisition for exception history video extraction
Normal video corresponding time and camera, anomalous video file is extracted from disk array, is transmitted to distributed file system
HDFS realizes the history anomalous video extracted from disk array forever by video storage to industrial video memory module HDFS
Storage long；
The anomalous video details in certain time in industrial video memory module is transferred, industry exception is played back and regards in real time
Frequency or history anomalous video are directly targeted to the corresponding time in event replay according to the event start time of record, without
Entire video must be watched.
In the storage of event video, the real-time video is recorded, the basis of historical data playback is with HDFS, relationship type
The memory mechanism of database, disk array composition.
In accident detection and video interlink, needed after handling event by current logout to unification
Can be read in relevant database, then the data extraction system timing of industrial video system by abnormal events information update to being
For used in event replay in system.
In the memory mechanism formed with HDFS, relevant database, disk array and video location play-back technology.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention realizes the detection to much informations such as smog, humidity, temperature, vibration, water levels around industrial equipment, leads to
The linkage with other systems is crossed, detection in all directions and early warning, data mining analysis, rescue guiding, accident early warning can be carried out,
Early warning and analysis are carried out to the safety of industrial equipment and construction personnel, to support production decision.
Present invention offer is a kind of easy to operate, and data are accurate, convenient for the work based on event perception and position sensing of displaying
Industry video interlink analysis method and system.The Research Thinking of industrial video technology is applied to enterprise, carries out construction industrial video
Enterprise network establishes the industrial video linkage analysis side of fusion event perception and position sensing in the industrial digital enterprise epoch
Method and system important in inhibiting.
Industrial video linkage is the real-time broadcasting that industrial video is completed by real-time streaming data analyzing processing technology, exception
Video data is analyzed and acquisition, including is guided with personnel location system, industrial video storage system, prewarning analysis system, rescue
The related information of system etc. thoroughly solves the problems, such as data sharing between monitoring system and other systems, and monitoring may be implemented and take the photograph
It as making full use of for head, and realizes and realizes permanently storing for key video sequence using big data technology, solve monitor video and " deposit not
Under ", " can not find " this two big key problem.
This method has the advantage that with system：
(1) easy to operate, camera picture can be checked by region by clicking map realization, the present invention is using intelligent building
The thinking of space carries out visualization processing to entire industrial working, designs the comprehensive displaying of monitor video.
(2) it realizes the persistence of industrial video, and can quickly show the real-time recording video permanently stored or history
Anomalous video.The waste of memory space is greatly reduced simultaneously, if all data all permanently store, hard disk is of high cost, hard disk
Difficult management.The present invention is permanently stored just for abnormal data, cost-effective, is realized simply, convenient for management, but is only preserved
Partial video.
(3) present invention carries out safely industrial equipment by many levels different angle the comprehensive detection of industrial equipment
Early warning and processing ensure personnel safety and safe to use, the extension industrial equipment service life of industrial equipment.
(4) industrial video linkage analysis system server terminal powerful, operational capability, analysis ability, judgement are remote
More than the performance of device end, has higher efficiency, judges more rapidly and accurately and analyze, while ensureing data analysis
Comprehensive, reliability, integrality.
(5) safe early warning protection server provides most reliable, safest data storage, avoids loss of data, disease
The problems such as poison invasion, strong foundation is provided for early warning analysis.
(6) the early warning analysis module using neural network model realize to the malfunction of the equipment of factory and system into
The system of row early stage intelligent early-warning.Relative to traditional alarm system based on predefined limit value, the early warning analysis module energy
By neural network algorithm to filing historical data learning training, the normal operation of an industrial equipment or production system is formed
Model, and it is compared with real-time running state, the deviation between current value and the calculated desired value of model is calculated,
And failure and degradation trend early warning function are provided, to reduce the risk of equipment fault, improve equipment reliability of operation.
The early warning analysis module is not instead of to single industrial equipment measuring point independent judgment, to some industrial equipment or life
All associated signals of production process carry out global analysis, to judge whether the equipment is growing failure.Conventional surveillance system
System is based only on fixed limit value and generates alarm, and early warning analysis module can analyze all operational modes in real time, and according to current
The deviation of state and model running state provides early warning.Early warning analysis module has simple Project Configuration method, its needle
It is all very simple to any industrial equipment and industrial flow modeling, without any physical model or mathematical model, only phase
It closes measuring point and model list is added.Early warning analysis module has simple modeling function, can be used for various distinct devices or son
The modeling of system, it might even be possible to be modeled for entire shop equipment.Early warning analysis module has self-defined alarm rule work(
Can, all available signals can be based on predefined logic judgment rule, thus can be for some typical defects of equipment
Or failure predefines respective rule, once these rule triggerings, then mean that certain class defect or failure exist certainly, to
Improve the accuracy rate of defect breakdown judge.Early warning analysis module can not only monitor the desired value and residual error (desired value of signal
Difference is obtained with current value), and a predicted value and quantity of state output can be provided, for indicating the signal at the appointed time area
It is interior whether to have deviation, or the deviation will occur at what time according to prediction.
Description of the drawings
The accompanying drawings which form a part of this application are used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation do not constitute the improper restriction to the application for explaining the application.
Fig. 1 is the industrial video linkage analysis system cloud server end structure chart of the present invention；
Fig. 2 is the industrial video linkage analysis system equipment terminal structure figure of the present invention；
Fig. 3 is the industrial video linkage analysis system data process flow figure of the present invention；
Fig. 4 is the industrial video linkage analysis system hedging escape route displaying schematic diagram of the present invention；
Fig. 5 is the industrial video linkage analysis system equipment terminal data decision flow chart of the present invention；
Fig. 6 is the industrial video linkage analysis system cloud servers' data decision flow chart of the present invention；
Fig. 7 is the industrial video linkage analysis system cloud server end video storage architecture schematic diagram of the present invention.
Wherein：10, device end；20, cloud server end；30, identification card；40, personal management module；50, industry
Device management module；60, energy supply circuit；
101, cloud client；102, communication module；103, locating module；104, human-computer interaction module；105, level sensor
Device；106, smoke sensor device；107, temperature sensor；108, humidity sensor；109, vibrating sensor；110, identification mould
Block；111, data bus interface；112, for energy control module；
201, encryption/decryption module；202, personnel positioning module；203, industrial video memory module；204, early warning analysis mould
Block；205, rescue guiding module；206, geographical space management module.
Specific implementation mode
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
Fig. 1 is the industrial video linkage analysis system cloud server end structure chart of the present invention, as shown in Figure 1, base of the present invention
Include in fusion event perception and the industrial video linkage analysis system of position sensing：Device end 10 and cloud server end 20.
Cloud server end 20, including：Encryption/decryption module 201, personnel positioning module 202, industrial video memory module 203,
Early warning analysis module 204, rescue guiding module 205, geographical space management module 206.
Wherein, encryption/decryption module 201 is decrypted and parses to the data received, and the data of transmission are encrypted and are beaten
Packet.
The location information of industry personnel of the personnel positioning module 202 to receiving in real time stores, and is associated with nearest camera shooting
Header, the rescue for the security incident that happens suddenly are prepared.
The anomalous event real-time video and disk that industrial video memory module 203 records industrial video linkage analysis system
The history anomalous video downloaded in array is stored.
Early warning analysis module 204 carries out mining analysis to the historical data of equipment and current data, and video is combined to supervise
Control video recording, finds out the exception being likely to occur in industrial equipment and work progress, and provide solution；
Rescue guiding module 205 positions the industrial equipment of construction personnel and fault warning, guides nearest rescue
Vehicle implements rescue, and generates hedging escape route, while recording and showing and monitoring picture in real time on route, by the video of recording
It stores in industrial video memory module.
Rescuing guiding module 205 includes：Database that construction personnel and breakdown lorry position in real time, the life of hedging escape route
Submodule is played at submodule, real-time video, real-time video records submodule.
The database that construction personnel and breakdown lorry position in real time：The geographical letter of real-time reception construction personnel and breakdown lorry
Breath position data simultaneously stores.
Hedging escape route generates submodule：Once rescue guiding module 205, which receives anomalous event, occurs information signal,
At once the database reading position information positioned in real time from construction personnel and breakdown lorry is calculated by the position of construction personnel
Go out to leave the access of anomalous event scene, obtains shortest escape route by comparing, while minimal path information being sent out
It gives nearest breakdown lorry and implements rescue, and all real time monitorings in rescue guiding system demonstration route and escape route
Picture, as shown in Figure 4.
Real-time video plays submodule：Realize the real-time broadcasting to the monitor video of anomalous event.
Real-time video records submodule：Realize the real-time recording to the monitor video of anomalous event, and simultaneously by recording
In video storage to industrial video memory module 203.
Geographical space management module 206 positions the building of industrial working with industrial equipment, camera, and will be industrial
The building of plant area and the location information of industrial equipment, camera are stored, and the map that generating can interact is supplied to user, to rescue
It quotes guide module and hedging escape route displaying offer basic data is provided.
The geographical space management module 206 is positioned with industrial equipment, camera to the building of industrial working,
And the server for storing the location information of the building of industrial working and industrial equipment, camera.
It is connected by computer network between above each server.
As shown in Fig. 2, device end 10 includes cloud client 101, communication module 102, locating module 103, human-computer interaction
Module 104, water level sensor 105, smoke sensor device 106, temperature sensor 107, humidity sensor 108, vibrating sensor
109, identification module 110, data bus interface 111, for energy control module 112；
Wherein, cloud client 101 acquires locating module 103, human-computer interaction module 104, water level sensor 105, smog and passes
Sensor 106, temperature sensor 107, humidity sensor 108, vibrating sensor 109, identification module 110, data/address bus connect
The data of mouth 111 carry out data interaction by communication module 102 and cloud server end 20, send and collect in cloud server end 20
Data, submit processing application, and obtain handling result and the instruction of cloud server end 20.
Communication module 102 completes the data interaction of cloud client 101 and cloud server end 20, using GPRS, EDGE,
At least one communication mode including CDMA, 3G, 4G, WIFI completes the data interaction of cloud client 101 and cloud server end；
Locating module 103 is connected with cloud client 101 using system bus, acquires industrial construction personnel current location in real time
Information, to geographical space management module request related industries equipment and personnel location information's data.
Human-computer interaction module 104 includes liquid crystal display, touch screen, keyboard, audio playing unit, completes user and equipment
The information exchange of terminal 10 receives the operation of user, instruction, and current industrial facility information, sensing data, cloud are shown to user
Server end 20 is back to the data of cloud client 101；
Water level sensor 105 is connect with cloud client 101 using system bus, serial ports or Modbus modes, and work is mounted on
Multiple and different positions in industry equipment, measure the height of water level around industrial equipment.
Smoke sensor device 106 is connect with cloud client 101 using system bus, serial ports or Modbus modes, and work is mounted on
Multiple and different positions in industry equipment, measure the smokescope around industrial equipment.
Temperature sensor 107 is connect with cloud client 101 using system bus, serial ports or Modbus modes, and work is mounted on
Multiple and different positions in industry equipment, measure the temperature around industrial equipment.
Humidity sensor 108 is connect with cloud client 101 using system bus, serial ports or Modbus modes, and work is mounted on
Multiple and different positions in industry equipment, measure the humidity around industrial equipment.
Vibrating sensor 109 is connect with cloud client 101 using system bus, serial ports or Modbus modes, and work is mounted on
Multiple and different positions in industry equipment, measure the vibration frequency around industrial equipment.
Identification module 110 is connect using cordless with identification card 30, and the information in identification card is obtained；Body
Part identification module 110 is connect with cloud client 101 using serial mode；
Identification card 30 is following any card：IC card, RFID card, smart card, infrared read-write card and other be used for
Store the card of information；
It is connected with energy supply circuit 60 for energy control module 112, industrial equipment energy supply circuit is completed by internal control
60 connecting and disconnecting；
Data bus interface 111 is connected with personal management module 40, industrial equipment management module 50, obtains construction in real time
Personal information data and the current information data of industrial equipment are sent into cloud client 101.Data bus interface 111 and cloud client
101 are connected by system bus.Affiliated data bus interface is supported but is not limited to the bus interface of CAN, Modbus, 485,232.
The industrial video linkage analysis system data processing method of the present invention is as shown in Figure 3：
Device end 10 acquires locating module 103, human-computer interaction module 104, water level sensor 105, smoke sensor device
106, temperature sensor 107, humidity sensor 108, vibrating sensor 109, identification module 110, data bus interface 111
Data, including subscriber identity information, human-machine interactive information, height of water level, smokescope, temperature, humidity, vibration frequency, people
Member's location information.
Cloud client 101 collects data and is shown to user by human-computer interaction module 104.Cloud client 101 is to acquisition
Data judged, if it find that data exception, alarms and notifies relevant departments leader, if data are normal, upload industry
Video interlink system is analyzed, and judges that postindustrial video interlink analysis system rescue guiding module 205 will generate hedging escape
Route guidance is rescued, and transfers the camera real-time pictures of hedging escape route, and video recording preserves anomalous event record and preserves to work
Industry video storage modules 203；If data are without exception, cloud server end 20 is by the data back device end 10 after early warning analysis；
The camera real-time pictures that rescue guiding module 205 transfers hedging escape route can be by the real-time condition of entire route
It plays out, as shown in Figure 4.It allows user to grasp all video informations in time, and can modify to having route.
As shown in figure 5, device end data judge that flow sentences collected each module data for cloud client 101
It is disconnected；Smokescope, temperature, humidity, vibration frequency, water level information cut off industrial equipment energy supply if more than cut-out energy supply threshold value,
Meanwhile sending out alarm and relevant departments leader is notified by communication module 102, cloud client 101 is by collected abnormal data
It is packaged encapsulation, by being uploaded to cloud server end 20 after 201 packaging ciphering of encryption/decryption module；If being less than alert threshold, cloud
Collected data are packaged and encapsulate by client, by being uploaded to cloud server end 20 after 201 packaging ciphering of encryption/decryption module；
As shown in fig. 6, industrial video linkage analysis system cloud servers' data judges that flow is right for encryption/decryption module 201
After the data that cloud client 101 uploads are decrypted, and data parsing is carried out, cloud server end 20 judges data class.
If what cloud client 101 uploaded is abnormal data, if being still different after excavating comprehensive analysis in conjunction with historical data
Regular data is then guided by rescue guiding module 205 according to the location information in data and is rescued, and is generated the guiding of hedging escape route and is rescued
It helps, and transfers the camera tracking real-time pictures of hedging escape route, video recording is preserved into industrial video memory module 203, and
This abnormal events information is recorded to relevant database；
If the data that cloud client 101 uploads are normal, if discriminatory analysis result is abnormal data, industrial video linkage point
Analysis system early warning analysis module 204 will send out early warning, notify relevant departments leader, and transfer and relevant departments leader is supplied to image
Head real-time pictures, video recording is preserved into industrial video memory module 203, and records this abnormal events information to relational data
Library, the data transferred when as playback anomalous video；As without exception, cloud client 101 will receive the return of cloud server end 20
As a result and stop alarm；
As shown in fig. 7, illustrate the present invention permanently stores mechanism with what HDFS, relevant database, disk array formed.
By anomalous event video file persistence in industrial video memory module 203, real-time video is recorded, it will be real by RTSP
When video flowing record into MP4 formatted files, and by relevant information storage in relevant database, while being transmitted to industrial video
The real-time video of recording is stored into industrial video memory module 203HDFS by the distributed file system of memory module, is realized
Real-time video permanently stores；
It is different by reading the abnormal events information being stored in relevant database acquisition for exception history video extraction
Normal video corresponding time and camera, anomalous video extraction procedure extract video file from disk array, it are allowed to be transmitted to
HDFS stores program, and HDFS stores program by video storage to industrial video memory module 203HDFS, realizes from disk array
The history anomalous video of extraction permanently stores；
The anomalous video that industrial video linkage analysis system is transferred in industrial video memory module 203 in certain time is detailed
Situation plays back the abnormal real-time video of industry or history anomalous video, and in event replay, video location play-back technology is according to note
The event start time of record is directly targeted to the corresponding time, without watching entire video.
The design of this storage organization has the following advantages：
1) original application change is small.Video is initially stored in disk array, original video receive program it is not necessary to modify.If throwing
Disk array is abandoned, is all stored using HDFS, then needs modification original video to receive program, and some use video file at present
Application be also required to change.
2) cost-effective.According to investigation situation, it is about 140T that we, which estimate the video data that camera monthly generates,.For
Guarantee data are not lost, and data should at least have three parts.Therefore the video monthly at least generated should occupy the space of 420T.Mesh
The memory space of preceding major part hard disk is 2T, 1T or 500G (in terms of storage, 1T=1000G).If all data are all permanently deposited
Storage, hard disk is of high cost, hard disk management is difficult.In our scheme, permanently stored just for abnormal data, save at
This, realizes simply, convenient for management, but only preserves partial video.
The foregoing is merely the preferred embodiments of the application, are not intended to limit this application, for the skill of this field
For art personnel, the application can have various modifications and variations.Within the spirit and principles of this application, any made by repair
Change, equivalent replacement, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. fusion event perceives the industrial video linkage analysis system with position sensing, characterized in that including：Cloud server end and
With several device ends of Cloud Server end communication；Wherein,
Device end acquires surrounding enviroment information, and the information of acquisition is uploaded to cloud server end, and obtains cloud server end
Handling result and instruction；
Cloud server end realizes personnel positioning according to the data sent on each device end by the linkage with personnel positioning module,
Rescue guiding is realized by the linkage with rescue guiding module, and early warning analysis is realized by the linkage with early warning analysis module, is led to
It crosses and realizes that industrial video is played and permanently stored with the linkage of industrial video memory module, by the data feedback of generation to equipment end
End.
2. the industrial video linkage analysis system of fusion event perception and position sensing as described in claim 1, characterized in that
The cloud server end, including：Encryption/decryption module, the encryption/decryption module are stored with personnel positioning module, industrial video respectively
Module, early warning analysis module, rescue guiding module and the communication of geographical space management module, the encryption/decryption module are also whole with equipment
End communication.
3. the industrial video linkage analysis system of fusion event perception and position sensing as described in claim 1, characterized in that
The device end, including：Cloud client, the cloud client by the encryption/decryption module of communication module and cloud server end into
Row communication, the cloud client also respectively with identification module, locating module, human-computer interaction module, sensor assembly, energy supply
Control module and data bus interface are communicated, and identification module is connect with identification card；Data bus interface is distinguished
It is connected with personal management module, industrial equipment management module；It is connected with energy supply circuit for energy control module, the equipment is whole
The mobile terminal for reminding the equipment of unexpected abnormality related leader at the first time is held, and carries out processing and reports cloud server end.
4. the industrial video linkage analysis system of fusion event perception and position sensing as described in claim 1, characterized in that
The sensor assembly, including：Water level sensor, smoke sensor device, temperature sensor, humidity sensor and vibrating sensing
Device；
The encryption/decryption module is decrypted and parses to the data of reception, while the data of transmission are encrypted and being packaged；
The personnel positioning module receives the location information of construction personnel's positioning, while being stored to position coordinates；
The industrial video memory module is downloaded in the anomalous event real-time video and disk array recorded to device end
History anomalous video is stored；
The early warning analysis module, is trained neural network model using the historical data of equipment, utilizes trained god
Current real time data is analyzed and determined through network model, is calculated between current value and neural network model desired value
Deviation, when deviation is more than setting range or deviation has the tendency that lasting amplification, illustrating equipment, there are certain class failure seedlings
Head or degradation trend find out potential exception in industrial equipment and work progress, and provide solution and arrange in conjunction with surveillance video
It applies；
The rescue guiding module positions the industrial equipment of construction personnel and fault warning, guides nearest breakdown lorry
Implement rescue, and generate hedging escape route, while recording and showing and monitoring picture in real time on route, the video of recording is stored
Into industrial video memory module；
The geographical space management module positions the building of industrial working, industrial equipment and camera, and by industrial factory
The location information of the building in area, industrial equipment and camera is stored, and the map that generating can interact is supplied to user, for rescue
Guiding module generates the displaying of hedging escape route and provides basic data.
5. the industrial video linkage analysis system of fusion event perception and position sensing as described in claim 1, characterized in that
The neural network model is made of input layer, process neuron hidden layer and process neuron output layer, wherein inputting
Input of the layer for completing signal, process neuron hidden layer are used to complete spatial weighting polymerization and the excitation fortune of input signal
It calculates, while output signal is transferred to output layer and by weighted feedback to input layer；Output layer is hidden for complete process neuron
The spatial weighting aggregation of the output signal containing layer and aminated polyepichlorohydrin and system output to the time；
The communication module uses at least one communication mode including GPRS, EDGE, CDMA, 3G, 4G, WIFI to complete cloud client
The data interaction at end and cloud server end；
The connecting and disconnecting for being used to complete industrial equipment energy supply for energy control module；
The identification module is connect using cordless with identification card, and the information in identification card is obtained；Identity is known
It Ka not be following any card：IC card, RFID card, smart card, infrared read-write card and other be used to store the card of information；
The identification module is connect with cloud client using serial mode；
The locating module is connected with cloud client using system bus, acquires industrial construction personnel's current location information in real time；
The human-computer interaction module, including：Camera, touch screen, keyboard, audio playing unit, completes user at liquid crystal display
With the information exchange of device end, operation, the instruction of user are received, current industrial facility information, sensor number are shown to user
The data of cloud client are back to according to, cloud server end；
The data bus interface is connected with personal management module, industrial equipment management module, obtains construction personnel's letter in real time
Cease the current information data of data and industrial equipment.
6. fusion event perceives the industrial video linkage analysis method with position sensing, characterized in that steps are as follows：
Step (1)：Cloud client acquires industrial environment data, is shown by human-computer interaction module；
Step (2)：Cloud client carries out preliminary analysis and judgement to the data of acquisition, if it is determined that data exception is then alarmed, such as
Fruit abnormal data is more than given threshold, then by cutting off equipment energy supply for energy control module, and warning message is sent to department
The mobile terminal of leader, then cloud client by the data of acquisition by being uploaded to Cloud Server after encryption/decryption module packaging ciphering
End；
Step (3)：After cloud server end receives the data of cloud client upload, abnormal data is determined whether again first,
If abnormal data, rescue guiding module will generate the guiding rescue of hedging escape route, and transfer hedging escape route
Camera real-time pictures, video recording preserve anomalous event record；
If not abnormal data, then early warning analysis module carries out cloud server end early warning analysis；Cloud server end early warning analysis is
Information in the data packet that cloud client is uploaded carries out data storage, and historical data is combined to carry out data mining, carries out complete
Orientation comprehensive pre-warning analysis；
Step (4)：Cloud server end is by the data back cloud client after early warning analysis module early warning analysis；Cloud client to
Family shows the early warning analysis data received；
Step (5)：On the basis of step (3), by anomalous event video file persistence in industrial video memory module, adjust
The anomalous video details in set period of time in industrial video memory module is taken, the abnormal real-time video of industry is played back or is gone through
History anomalous video, for analyzing abnormal Producing reason；In event replay, directly positioned according to the event start time of record
To the corresponding time, without watching entire video.
7. the industrial video linkage analysis method of fusion event perception and position sensing as claimed in claim 6, characterized in that
In the step (1), cloud client timing acquiring smoke sensor device, temperature sensor, humidity sensor, vibrating sensor, water
Level sensor, identification module, locating module, human-computer interaction module, personal management module and industrial equipment management module
Data.
8. the industrial video linkage analysis method of fusion event perception and position sensing as claimed in claim 6, characterized in that
In the step (2), cloud client judges collected data；Smokescope, temperature, humidity, vibration frequency or water
Position information is then energized for energy control module cut-out industrial equipment if it exceeds given threshold, meanwhile, it sends out alarm and passes through communication
Module notifies the mobile terminal of department head, cloud client to be packaged collected abnormal data and encapsulate, and passes through encryption/decryption module
Cloud server end is uploaded to after packaging ciphering；
If being less than alert threshold, collected data are packaged and encapsulate by cloud client, after being encrypted by encryption/decryption module
It is uploaded to cloud server end.
9. the industrial video linkage analysis method of fusion event perception and position sensing as claimed in claim 6, characterized in that
In the step (3), after data that encryption/decryption module uploads cloud client are decrypted, and data parsing, cloud service are carried out
Device end judges data class,
If abnormal data is uploaded to cloud server end by cloud client, cloud server end uses neural network trained in advance
Model is judged, if judging result is still abnormal data, is drawn by rescue guiding module according to the location information in data
Rescue is led, the guiding rescue of hedging escape route is generated, and transfers the camera tracking real-time pictures of hedging escape route, video recording is protected
It deposits into industrial video memory module, and recording exceptional event information is to relevant database；
The geography information position data of rescue guiding module real-time reception construction personnel and breakdown lorry is simultaneously stored in construction
In the database that personnel and breakdown lorry position in real time, once rescue guiding module receives the signal of anomalous event generation, just
The real-time reading position information of database positioned in real time from construction personnel and breakdown lorry, by the current location of construction personnel,
All accesses that construction personnel goes out to leave anomalous event scene are calculated, obtain shortest escape route by comparing, simultaneously
Minimal path is sent to the nearest breakdown lorry in distance construction personnel current location, implements rescue, and in rescue guiding module
It shows real time monitoring picture all in route and escape route, realizes the real-time recording to the monitor video of anomalous event, and
It simultaneously will be in the storage to industrial video memory module of the video of recording；
If normal data is uploaded to cloud server end by cloud client, cloud server end uses neural network trained in advance
Model is judged, if judging result is abnormal data, early warning analysis module will send out early warning, notifies the mobile end of department head
End, and the mobile terminal that camera real-time pictures are sent to department head is transferred, video recording is preserved into industrial video memory module,
And recording exceptional event information is to relevant database, the data transferred when as playback anomalous video；Such as without exception, cloud client
End receives the result of cloud server end return and stops alarm.
10. the industrial video linkage analysis method of fusion event perception and position sensing as claimed in claim 6, feature
It is,
In the step (5), by anomalous event video file persistence in industrial video memory module,
Real-time video is recorded, is recorded live video stream at MP4 formatted files by real time streaming transport protocol RTSP, and will
In information storage to relevant database, while it being transmitted to the distributed file system HDFS of industrial video memory module, will recorded
The real-time video of system is stored into the distributed file system HDFS of industrial video memory module, realizes and anomalous event is recorded
Real-time video permanently store；
For exception history video extraction, abnormal regard is obtained by reading the abnormal events information being stored in relevant database
Frequently corresponding time and camera extract anomalous video file from disk array, are transmitted to distributed file system HDFS, will
In video storage to industrial video memory module HDFS, permanently storing for the history anomalous video extracted from disk array is realized；
Transfer the anomalous video details in certain time in industrial video memory module, play back the abnormal real-time video of industry or
Person's history anomalous video is directly targeted to the corresponding time in event replay according to the event start time of record, without seeing
See entire video.
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