CN104333736B - Unmanned substation's intelligent recognition monitoring system and method - Google Patents
Unmanned substation's intelligent recognition monitoring system and method Download PDFInfo
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Abstract
The invention discloses unmanned substation's intelligent recognition monitoring system and method, the monitoring system is based on complete IP video monitoring systems (IPVS), including：Head end video acquisition layer uses the web camera with intelligent recognition function to carry out photographic technique to transformer station, and monitoring data is sent into Surveillance center by transport network layer；Video accumulation layer, including substation information disperses storage on the spot and Surveillance center is centrally stored；Surrounding warning layer, environmental information is gathered by infrared/microwave remote sensor, vibrations detection device, temperature and humidity collection equipment in real time, the abnormal information that Surveillance center's receiving front-end video acquisition layer is sent, information is determined whether, local alarm caused by normal operating is screened out, abnormal then remote alarm is truly had.Intelligent identification module uses different recognizers for different monitored object, and the running status and substation operation environment that target device can be analyzed rapidly really realize that transformer station is unattended.
Description
Technical field
The present invention relates to automation of transformation substations monitoring field, more particularly to a kind of unmanned substation's intelligent recognition monitoring system
Method.
Background technology
With the propulsion of intelligent grid, transformer station is as the information source and execution terminal of electrical power trans mission/distribution system, and it requires to provide
Information content and realize integrated control it is more and more.Therefore, current transformer station is in the urgent need to brief, intelligence a prison
Control system, to realize information sharing, reduces investment, operation, maintenance efficiency is improved, so as to really realize the unattended fortune of transformer station
OK.
Video monitoring system for substation is typically shown by video acquisition system, Video transmission system, Video Storage System, video
Show system, border guard system, the most of composition of control and command scheduling system six.The main interior of monitoring is needed in substation operation
Appearance includes:Whether normal, equipment whether there is abnormal heating, counter of lightning arrester for the functional location of breaker and disconnecting link, meter position
Change and substation anomalous variation etc..
In the video monitoring system for substation that patent 102929222A is announced, head end video monitoring device still employs some
Analog video camera, is handled analogue video signal by DVR, NVR, therefore the system essentially still falls within second
For video monitoring system.Current this video monitoring system is widely used in power system, but such system has largely
Limitation:
1. traditional analog video camera needs special laying video line, tone frequency channel wire, control line, cable wiring manufacture is time-consuming, laborious, take
Money, and traditional analog video camera is easily affected by environment, definition tends not to meet high request of the transformer station to equipment remote viewing；
2. legacy system is centralized architecture, increase video camera need to be connected up again, expand limited, system monitoring point position and storage
The expansion of capacity is all complex；
3. a large amount of inessential video datas are recorded, stored during video monitoring, and critical event is easily flooded
Not yet, monitoring difficulty is big, while wasting storage resource；
4. system can not realize automatic redundancy, after embedded network video server failure in system, concentrator station can not
Normal monitoring substation equipment running situation, it is unattended after, there is safe operation hidden danger；
5. limited manageability is, it is necessary to which external server and management software control multiple DVR or control point, and monitoring
Point PC configuration requirement is higher；Limited remote surveillance capabilities, it is impossible to access any video camera from any client computer, can only pass through
DVR dereference video cameras；
6. after storage hard disk failure, video file can not be repaired automatically, it is necessary to which the system of interrupting could be changed, and video data is deposited
In potential safety hazard；Enclosure wall intrusion alarm system rate of false alarm is high, poor reliability；Not easy care and maintenance cost is larger.
In addition in terms of transformer substation video analytical technology, conventional method is that camera is taken after picture, by running watch
Member's contrast original image, the running situation of manual analysis transformer station and whether stolen or disaster-stricken.
The method of existing " video monitoring system+manual analysis " ensure that the safety of unmanned substation to a certain extent
Operation, but substantial amounts of human and material resources are consumed, and the running status of target device can not be analyzed rapidly, it is impossible to catch in time
With the danger of prevention substation equipment artificial destruction, this just leaves hidden danger for the safe operation of unmanned substation.
The content of the invention
To solve the deficiency that prior art is present, the invention discloses unmanned substation's intelligent recognition monitoring system method,
Unmanned substation's video monitoring system proposed by the invention is based on third generation video monitoring system --- complete IP video monitorings
System (IPVS), herein on basis, has merged intelligent identification technology, original system is upgraded to unmanned substation's Intelligent Recognition prison
Control system.The system, can be to breaker and knife by the portable video collection in transformer station and control device
Whether the functional location of lock, meter position normal, environmental abnormality change carries out photographic technique, and by embedded image at
Reason and intelligent identifying system, realize that the operation to harm substation safety operation carries out quick, intelligent identification and early warning, to transport
Administrative staff grasps field condition and adopted an effective measure in time, is provided simultaneously with Live Audio alarm function.
To achieve the above object, concrete scheme of the invention is as follows：
Unmanned substation's intelligent recognition monitoring system, including head end video acquisition layer, transport network layer, video accumulation layer,
Surrounding warning layer and Surveillance center；
The head end video acquisition layer uses the intelligent network camera with intelligent recognition function to regard transformer station
Frequency monitoring in real time, if any exception, on the spot early warning, and is sent to Surveillance center by monitoring data by transport network layer；
The transport network layer, video and data message are exchanged using Ethernet interface by ICP/IP protocol；
The video accumulation layer, including substation information disperses storage on the spot and Surveillance center is centrally stored；
The surrounding guards against layer, real by infrared/microwave remote sensor, vibrations detection device, temperature and humidity collection equipment
When gather environmental information, the surrounding warning layer passes through external alert interface with intelligent network camera to be realized and links；
The abnormal information that Surveillance center's receiving front-end video acquisition layer is sent, is determined whether to information, to normal
Local alarm is screened out caused by operation, truly has abnormal then remote alarm.
The intelligent network camera of the head end video acquisition layer is arranged near important monitored object, in transformer station
Breaker, disconnecting link, indication dial plate, transformer station gateway etc., for realizing functional location to breaker and disconnecting link, meter position
Whether normal, environmental abnormality change carries out photographic technique.
The intelligent network camera of the head end video acquisition layer uses embedded real-time operating system, including camera lens, figure
As sound transducer, A/D converter, image encoder, Web server, network interface, external alert interface and embedded intelligence
Identification module；The analog video signal that video camera is collected by video/audio sensor is delivered to after being digitized through A/D converter
Intelligent identification module carries out real-time local analysis, and alarm is then started if any abnormal；Video information is encoded through image encoder to be compressed
Web server is sent to by network-bus afterwards and stored on the spot, the user on network can be directly with browser viewing Web clothes
The camera review being engaged on device, authorized user can also control the action of camera pan-tilt camera lens or system configuration is grasped
Make；
On the other hand, there is abnormal information coding to compress and encrypt after being recognized through intelligent identification module, pass through network interface
Deliver to background server and carry out comprehensively monitoring and centrally stored, greatly reduce network burden and the performance to rear end equipment is wanted
Ask.
The external alert interface access pyrotechnics inductor of the intelligent network camera of the head end video acquisition layer, infrared spy
Head sensor and humidity sensor, when inductor and abnormal sensor appearance, web camera receives the report from sensor
Alert signal, adjust automatically lens direction and real-time recording；On the other hand, also can be to when web camera detects abnormal picture
Send alarm signal outside.
The intelligent identification module of the intelligent network camera of the head end video acquisition layer, using Intelligent Recognition algorithm, energy
Enough realize to the quick, intelligent identification and early warning on the spot of equipment state, location drawing picture information.
The monitoring information monitored in real time is broadly divided into three classes：1. in transformer station breaker and disconnecting link functional location, 2. table
Whether normal count position, 3. ambient environmental conditions；
To transformer station, 1., 3. class monitored picture extracts moving target information using two step frame difference methods, for 2. class counting
Type monitoring, it is necessary to carry out predetermined running scope and change numeral the step of pace of change two judge, utilize background subtraction
(including monoblock type background subtraction and partition type background subtraction) judges whether to operate in the range of setting, utilizes frame difference method
Judge the pace of change of numeral, the two makees AND operation, and only two conditions are satisfied by, be just judged as normal operation, otherwise sentence
Break as abnormal conditions, immediately prompting alarm；Alarm signal triggering onsite alarming device alert on the spot, and start video camera video recording,
The abnormal conditions in violation operation process and other transformer stations are recorded, intelligent identification module provides remote parameter and sets function, can
It is remotely located to be carried out according to application scenario to detection parameter (such as detection range, detection zone, identification sensitivity).
The method of unmanned substation's intelligent recognition monitoring system, including：
Step one：Gathered data：Intelligent network camera carries out photographic technique, A/D converter to unmanned substation
Real-time image information is converted into data signal；
Step 2：Data processing, analysis and storage on the spot：The data signal of the image of collection is sent to intelligent identification module and entered
Row Intelligent Recognition, if any exception, web camera carries out quick early warning on the spot, while before and after starting recording function record alarm
Network interface is delivered to after information, the compressed coding encrypting of information；
Step 3：Data are uploaded：Abnormal real-time image information reaches background monitoring center in the form of IP bags by network；
Step 4：Concentrate analysis and processing：Surveillance center comprehensively monitored to transformer substation video information, Surveillance center
Early warning is engaged on the spot with terminal, realizes remote monitoring.
Beneficial effects of the present invention：
1. the present invention uses complete IP video monitoring systems (IPVS), intelligent network camera makes video be set from IMAQ
It is data signal during standby output, so as to avoid the drawbacks of simulation small-signal is transmitted in second generation video monitoring system；There is provided
Web service, client directly can be accessed or controlled intelligent network camera by IP address；Distributed structure/architecture saves cloth hemp
It is tired, easy to install, easily extension, it is possible to achieve plug and play in network-wide basis.
2. embedded intelligence identification module uses different Intelligent Recognition algorithms for different monitored object, can be rapid
The running status and substation operation environment of target device are analyzed, double-deck alarm mechanism is more accurate, it is ensured that substation safety is run,
Really realize that transformer station is unattended.
3. the present invention is by candid photograph and video capability, to Substation Electric Equipment body, auxiliary device and line channel ring
The long-range Real Time Observation in border, by the image comparison function of central station, realizes the diagnosis to equipment health status, timely discovering device
Defect, predicts equipment life, and maintenance proposed program is proposed if needed.
4. the present invention is guarded against substation using infrared/microwave, shock sensor, and is alerted with video monitoring
Linkage, is warned and is deterred to the behavior that crisis substation safety is run.
Brief description of the drawings
Fig. 1 system global structure figures；
The fundamental diagram of Fig. 2 intelligent network cameras；
Fig. 3 workflow diagrams of the present invention；
Fig. 4 (a) background images and current frame image difference image；
Image after Fig. 4 (b) fillings.
Embodiment：
The present invention is described in detail below in conjunction with the accompanying drawings：
As shown in figure 1, a kind of unmanned substation's intelligent recognition monitoring system, using complete IP video monitoring systems
(IPVS), whole system uses layered distribution type structure, is divided into five layers：
First layer is head end video acquisition layer, and the present invention is in video acquisition layer all using the net with intelligent recognition function
Network video camera (IPC)；
The second layer is transport network layer, and system provides Ethernet interface, and armamentarium exchanges video by ICP/IP protocol
And data message, remote districts, as long as the place for having GPRS, CDMA communication network can also be used, without it is self-built, safeguard communication network
Network.
Third layer is video accumulation layer, and the layer includes substation information and disperses to store centrally stored with Surveillance center on the spot.
The video information of shooting is converted into data signal and stored on the spot by video camera, while will pass through network after abnormal information compression encryption
Surveillance center is transported to, database is stored in, realizes and concentrates the functions such as statistical data analysis.
4th layer is that surrounding guards against layer, and system is furnished with infrared/microwave remote sensor, vibrations detection device, while installation temperature,
Humidity collection equipment, gathers environmental information in real time.The surrounding guards against layer by passing through external alert with intelligent network camera
Interface realizes linkage.
Layer 5 is Surveillance center, and the abnormal information that receiving front-end is sent determines whether to information, normal operating is drawn
The alarm risen is screened out, and truly has abnormal then remote alarm.Other Surveillance center is responsible for the normal operation of system, coordinates each
Effective cooperation between individual part.User can carry out user management, real-time video tour, the retrieval of video recording and return in terminal
Put, receive and handle alarm, realize alarm linkage, PTZ controls are carried out to headend equipment and video is decoded on TV
Wall.The part is included：Center management server, video recording storage server (expansible), the network switch and client software.
Intelligent network camera is arranged near important monitored object, for realizing the function digit to breaker and disconnecting link
Put, whether meter position is normal, environmental abnormality change carries out photographic technique.Intelligent network camera is using embedded real-time
Operating system, including camera lens, video/audio sensor, A/D converter, image encoder, preposition controller, Web server, net
Network interface and external alert interface；In addition, in order to realize that web camera embedded in Intelligent Recognition in monitoring intelligent, the present invention
Module.Its operation principle is as shown in Fig. 2 be specifically described as：The analog video signal that camera acquisition is arrived is through A/D converter numeral
Intelligent identification module is delivered to after change and carries out real-time local analysis, alarm is then started if any abnormal；Video information is through image encoder
Web server is sent to by network-bus after coding compression and stored on the spot, the user on network can directly use browser
The camera review watched on Web server, authorized user can also control the action of camera pan-tilt camera lens or system is matched somebody with somebody
Put and operated；On the other hand, there is abnormal information coding to compress and encrypt after being recognized through intelligent identification module, connect by network
Mouth is delivered to background server and comprehensively monitor, analyze and store, and greatly reduces network burden and the property to rear end equipment
It can require.
The image compression encoding standard of image encoder mainly have MPEG4, H.264, M-JPEG.Web server is used
ICP/IP protocol.Network interface is ethernet port, supports WIFI wireless access, 3G accesses, POE to power (network power supply) in addition
And intelligent acess.
External alert interface can access the various sensors such as pyrotechnics inductor, infrared probe, humidity as needed, work as appearance
When abnormal, intelligent network camera receives the alarm signal from sensor, adjust automatically lens direction and real-time recording；It is another
Aspect, when intelligent network camera detects abnormal picture, can also send out alarm signal.
Its monitoring information of intelligent camera is broadly divided into three classes：1. in transformer station breaker and disconnecting link functional location, 2.
Whether meter position is normal, 3. ambient environmental conditions.To transformer station, 1., 3. class monitored picture extracts motion using two step frame difference methods
Target information, for the 2. class counting type monitoring, it is necessary to carry out the pace of change of predetermined running scope and change numeral
Two steps judge, judge whether to operate in using background subtraction (including monoblock type background subtraction and partition type background subtraction)
In rational scope, the pace of change of numeral is judged using frame difference method, the two makees AND operation, and only two conditions are satisfied by,
Just it is judged as normal operation, is otherwise judged as abnormal conditions, immediately prompting alarm；Alarm signal triggering onsite alarming device is on the spot
Alarm, and start the abnormal conditions in video camera video recording, record violation operation process and other transformer stations.Intelligent identification module is carried
For remote parameter, function is set, can be according to application scenario to detection parameter (such as detection range, detection zone, identification sensitivity
Deng) carry out it is remotely located.
Intelligent identification module can be realized to the quick, intelligent identification and early warning on the spot of equipment state, location drawing picture information.Intelligence
Energy identification module is the intelligent most important part of web camera, and the module is the embedded software of intelligent network camera,
Using Intelligent Recognition algorithm.Algorithm particular content is as follows：
To 1., 3. class monitored picture, specific identification process is：Assuming that t image is fkN frames figure before (x, y), t
As being fk-n(x, y), defined parameters ηkStatus information for storing kth frame image, the η when picture judges abnormalk=0, currently
η when picture judges normalk=1, set a certain fixed value n0, n0Selection determine the excellent of the slow moving object real-time of identification
Bad, algorithm concrete operations are as follows：
13-1.) by current kth frame and previous frame image difference, D is obtainedk/k-1(x, y)=| fk(x,y)-fk-1(x,y)|；
13-2.) by kth frame and preceding k-n0Two field picture difference, is obtained
13-3.) by Dk/k-1(x, y) andDifference binary conversion treatment, threshold value is T
Count Rk/k-1(x, y) andIntermediate value is the number of 1 pixel, and N is calculated as respectivelyk/k-1With
Disturbance 13-4.) is excluded, the points threshold value of pixel value changes is set as NBIf, Nk/k-1＞ NBIllustrate there is quick motion
Target occurs, and local alarm is triggered immediately；If Nk/k-1＜ NB, illustrate the target not moved quickly, determine whether
With NBRelation；
13-5.) ifAnd ordered series of numbersBe 1 to value, i.e., it is middle there is no abnormal, now say
Bright to have the target moved slowly to occur, otherwise triggering alarm judges without exception.
Monitoring to the 2. class counting type
2-1) background model initializing：
For digital dial plate, background image is specified operation numerical imaging；For pointer watch dial, background image is specified fortune
Line pointer location drawing picture；
2-2) model modification：
When the method for operation changes, operational factor can also change, and the background image that now reply counts class monitoring enters
Row updates.
2-3) real time status is monitored：Including the monitoring of digital dial plate real time status and the monitoring of pointer watch dial real time status；
The digital dial plate real time status monitoring is specifically included：
2-3-1) partition type background difference sentences scope
Whole matching error is larger, because can not only be judged to change the location of digital according to Pixel Information, on ten
The numeral change change more digital than on tenths is much serious, therefore carries out carving culture.By the segmentation of digital dial plate image, and
Consider the position (shape such as 1.234) of decimal point.If directly using if Text region algorithm, each numeral needs to carry out 10 times
Match somebody with somebody, match time is longer, the time is longer if Serial No. is longer, therefore use partition type background difference algorithm, when matching
When meeting the digit order number of required precision, parameter p puts 1, otherwise sets to 0；
2-3-2) frame difference method judges numerical value change speed
It is smaller in view of front and rear two frame of digital excursion, therefore the number where variable quantity need to be only extracted using frame difference method
Word bit, the possible maximal rate v of Parameters variation is estimated with thismax, and with given threshold v0Compare, if vmax＜ v0, then parameter q
1 is put, is otherwise set to 0.
Parameter p and q 2-3-3) are subjected to AND operation, if p ∧ q=1, is judged as normal operation, is otherwise judged as different
Normal state and alarm.
The pointer watch dial real time status monitoring, including：
2-3-4) monoblock type background difference sentences scope：Background frames and current frame image are subjected to calculus of differences, difference image
For Dbk(x, y)=| fk(x,y)-fbk(x, y) |, Fig. 4 (a) is obtained after binaryzation, Morphological scale-space is carried out to the binary image,
Acute angle corresponding region is filled, the number that pixel in Fig. 4 (b), statistical picture is more than the point of threshold value is obtained, actual correspondence is sharp
The size S of angular zone, with threshold area SBCompare, if S ＜ SB, then it is judged as in normal operation range, parameter p is put
1, otherwise set to 0；
2-3-5) frame difference method judges numerical value change speed：fk(x, y) and fk-1(x, y) is carried out after difference, binary conversion treatment,
The absolute value degree v of the linear velocity of pointer can be calculated according to the end points of front and rear two pointers of moment, and then tries to achieve angular velocity omega,
By remaining threshold angular velocity ωBCompare, if meeting ω ＜ ωB, then normal operation is judged, parameter q puts 1, otherwise set to 0；
Parameter p and q 2-3-6) are subjected to AND operation, if p ∧ q=1, is judged as normal operation, is otherwise judged as different
Normal state and alarm.
The partition type background difference algorithm of the digital dial plate is comprised the following steps that (assuming that number of significant figures is 5)：
Present frame 2-3-11) is divided into the part of a, b, c, d, e five by pixel concentration degree, by background image be divided into A, B,
The part of C, D, E five；
2-3-12) by from left to right order Corresponding matching：A and A, b and B ... e and E；
If 2-3-13) a and A is mismatched, alarm immediately, without carrying out computing below；If a is matched with A, weigh
Multiple step 2-3-12), until matching the digit order number for having met required precision, parameter p puts 1, stopping.
Such as Fig. 3, a kind of monitoring method of unmanned substation's intelligent recognition monitoring system, carrying out practically flow is：
Gathered data：Intelligent network camera carries out photographic technique to unmanned substation, and A/D converter will scheme in real time
As information is converted to data signal；
Data processing, analysis and storage on the spot：Image digital signal is sent to intelligent identification module and carries out Intelligent Recognition, if any
Abnormal, monitor terminal carries out quick early warning on the spot, while starting the information before and after recording function record alarm, information is compressed to be compiled
Network interface is delivered to after code encryption；
Data are uploaded：Abnormal real-time image information reaches background monitoring center in the form of IP bags by network；
Concentrate analysis and processing：Surveillance center carries out comprehensively monitoring to transformer substation video information and analyzed, with terminal just
Ground early warning is engaged, and realizes remote monitoring, and settable program is alarmed violation operation or illegal operation, remotely warns and cry out
Words etc..
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, not to present invention protection model
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deform still within protection scope of the present invention that creative work can make.
Claims (5)
1. unmanned substation's intelligent recognition monitoring system, it is characterized in that, unmanned substation's intelligent recognition monitoring system, including front end
Video acquisition layer, transport network layer, video accumulation layer, surrounding warning layer and Surveillance center；
It is real that the head end video acquisition layer uses the intelligent network camera with intelligent recognition function to carry out video to transformer station
When monitor, if any exception, on the spot early warning, and monitoring data is sent to Surveillance center by transport network layer；
The transport network layer, video and data message are exchanged using Ethernet interface by ICP/IP protocol；
The video accumulation layer, including substation information disperses storage on the spot and Surveillance center is centrally stored；
The surrounding guards against layer, is adopted in real time by infrared/microwave remote sensor, vibrations detection device, temperature and humidity collection equipment
Collect environmental information, the surrounding warning layer is realized with intelligent network camera by external alert interface to link；
The abnormal information that Surveillance center's receiving front-end video acquisition layer is sent, is determined whether to information, to normal operating
Caused local alarm is screened out, and truly has abnormal then remote alarm；Surveillance center includes center management server, video recording storage
Server, the network switch and client software；
The intelligent network camera of the head end video acquisition layer is arranged near important monitored object, for realizing to breaker
Whether normal, environmental abnormality changes progress photographic technique for functional location, meter position with disconnecting link；
The intelligent network camera of the head end video acquisition layer uses embedded real-time operating system, including camera lens, image sound
Sound sensor, A/D converter, image encoder, Web server, network interface, external alert interface and embedded intelligence identification
Module；The analog video signal that video camera is collected by video/audio sensor delivers to intelligence after being digitized through A/D converter
Identification module carries out real-time local analysis, and alarm is then started if any abnormal；Video information is led to after image encoder coding compression
Cross network-bus to be sent to Web server and store on the spot, the user on network directly can watch Web server with browser
On camera review, authorized user can also control the action of camera pan-tilt camera lens or system configuration is operated；Through
There is abnormal information coding to compress and encrypt after intelligent identification module identification, delivering to background server by network interface is carried out entirely
The monitoring in face and centrally stored, greatly reduces network burden and the performance requirement to rear end equipment.
2. unmanned substation's intelligent recognition monitoring system as claimed in claim 1, it is characterized in that, the head end video acquisition layer
Intelligent network camera external alert interface access pyrotechnics inductor, infrared probe sensor and humidity sensor, work as sense
When answering device and abnormal sensor appearance, web camera receives the alarm signal from sensor, and adjust automatically lens direction is simultaneously
Real-time recording；On the other hand, when web camera detects abnormal picture, alarm signal can also be sent out.
3. unmanned substation's intelligent recognition monitoring system as claimed in claim 1, it is characterized in that, the monitoring information monitored in real time
It is broadly divided into three classes：1. in transformer station breaker and disconnecting link functional location, 2. whether meter position normal, 3. surrounding environment feelings
Condition.
4. unmanned substation's intelligent recognition monitoring system as claimed in claim 3, it is characterized in that, to transformer station, 1., 3. class is supervised
Control picture and extract moving target information using two step frame difference methods, for the 2. class counting type monitoring, it is necessary to carry out predetermined fortune
The step of pace of change two of line range and change numeral judges, judges whether to operate in the scope of setting using background subtraction
It is interior, the pace of change of numeral is judged using frame difference method, the two makees AND operation, and only two conditions are satisfied by, are just judged as just
Often operation, is otherwise judged as abnormal conditions, immediately prompting alarm；Alarm signal triggering onsite alarming device is alerted on the spot, and is opened
Abnormal conditions in dynamic video camera video recording, record violation operation process and other transformer stations.
5. the method for work of unmanned substation's intelligent recognition monitoring system as claimed in claim 1, it is characterized in that, including：
Step one：Gathered data：Web camera carries out photographic technique to unmanned substation, and A/D converter will scheme in real time
As information is converted to data signal；
Step 2：Data processing, analysis and storage on the spot：The data signal of the image of collection is sent to intelligent identification module and carries out intelligence
It can recognize, if any exception, web camera carries out quick early warning on the spot, while starting the letter before and after recording function record alarm
Network interface is delivered to after breath, the compressed coding encrypting of information；
Step 3：Data are uploaded：Abnormal real-time image information reaches background monitoring center in the form of IP bags by network；
Step 4：Concentrate analysis and processing：Surveillance center comprehensively monitored to transformer substation video information, Surveillance center and end
Early warning is engaged on the spot at end, realizes remote monitoring.
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