CN102412627B - Image identification-based intelligent transformer substation state monitoring system - Google Patents
Image identification-based intelligent transformer substation state monitoring system Download PDFInfo
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Abstract
The invention discloses an image identification-based intelligent transformation substation state monitoring system, which is characterized in that: a camera is used for monitoring the states of a circuit breaker indicator, a pressure plate, a knob switch and the like on a switch cabinet in an intelligent transformer substation, the image of an area where a monitoring device is arranged is acquired, the states of each indicating lamp, the pressure plate and the switch are obtained by using an image identifying technology, and relevant identified states are transmitted to a background monitoring system through a 61850 protocol, so that automatic management of the running situation of the intelligent transformer substation is realized.
Description
Technical field
The present invention relates to a kind of intelligent substation condition monitoring system, more particularly be based on the intelligent substation condition monitoring system of image recognition technology, be used for realizing the automatic management of intelligent substation ruuning situation.
Background technology
Fast development along with computer technology and the network communications technology, Automation of Electric Systems construction development is all the more perfect, especially aspect the safety precaution of transformer station, technology such as up-to-date computer technology, mechanics of communication and image processing have extensively been adopted, implemented such as video monitoring system, intrusion alarm system, SF6 gas detecting system and fire-fighting system etc., these subsystem organic compositions transformer station's security protection auxiliary system.
Traditional transformer station's security protection auxiliary system is subjected to the influence of traditional idea and technology, the video information of transformer station all directly is sent to central station or emergent platform, like this with regard to cause tens the tunnel in addition the video image on hundreds of roads need monitoring, only relying on manpower is impossible realize all monitoring, and the fatigue of vision and manpower slack easily cause accident to take place and can't be caught in, and more can't be prevented.
Summary of the invention
The present invention is for avoiding above-mentioned existing in prior technology weak point, a kind of intelligent substation condition monitoring system based on image recognition is provided, utilize modern image cutting and recognition technology, obtain in the transformer station state of each indicator light, pressing plate and switch on the switch cubicle in real time, to deliver to background monitoring system on the correlation behavior that identify by 61850 stipulations then, realize the automatic management of intelligent substation ruuning situation.
Technical solution problem of the present invention adopts following technical scheme:
The characteristics that the present invention is based on the intelligent substation condition monitoring system of image recognition are to arrange:
One image acquisition units, utilize the high frequency light source to illuminate the intelligent substation switch cabinet panel, with video camera switch cabinet panel is carried out IMAQ, obtain the panel that includes circuit breaker indicator light, pressing plate and rotary switch and gather image, obtain the device area image according to the device area position of having demarcated, described device area image refers to include one group of indicator light, or one group of pressing plate, or the image of the device region of one group of switch;
Two image identification unit are handled and are identified by the device area image that network sends over described image acquisition units; Described image identification unit comprises: geometric correction module, device cutting module, illumination evaluation module, pattern measurement module and condition judgement module; Wherein:
Described geometric correction module, device area image to input carries out geometric correction, by spatial alternation and gray-level interpolation algorithm, remove the picture distortion that brings because of video camera imaging plane and switch cubicle Plane Angle deviation, thereby obtain the device area image of demarcation;
Described device cutting module cuts the device area image of described demarcation, obtains the device image of each individual devices; There are differences at the brightness because of device brightness and device periphery background, and the bimodal pattern that in the device area image grey level histogram, shows, calculate two peak-to-peak valley points in the grey level histogram by watershed algorithm, described valley point is carried out binaryzation as threshold value to image, again the image after the binaryzation is done projection on level and the vertical both direction, according to projection information, obtain each device coordinate range in the horizontal and vertical directions, thereby the device image is cut out from the device area image;
Described illumination evaluation module, brightness value according to each device image, provide brightness higher limit and the lower limit that can satisfy correct recognition image, and with described higher limit and lower limit as luminance threshold, when the brightness value of device image is in the luminance threshold scope, it is normal to be judged to be illumination, otherwise provides the unusual prompting of illumination or alarm;
Described pattern measurement module, at circuit breaker indicator light, pressing plate and rotary switch, choose lamp mean picture brightness-contrast associating feature, pressing plate image press button zone saturation-center of gravity associating feature respectively, and switch image spanner zone leveling brightness-center of gravity associating feature is carried out state description, is obtained on-the-spot device characteristics of image vector;
Described condition judgement module based on the corresponding normal component characteristics of image of predefined standard state vector, is carried out distance with described on-the-spot device characteristics of image vector and is calculated, and with the judgment basis of result of calculation as device state.
The present invention monitors the state of the circuit breaker indicator light on the switch cubicle in the intelligent substation and pressing plate, rotary switch etc. by camera, the image of acquisition monitoring device region, use image recognition technology to obtain the state of each indicator light, pressing plate and switch again, to deliver to background monitoring system on the correlation behavior that identify by 61850 agreements, realized the automatic management of intelligent substation ruuning situation.Compared with the prior art, beneficial effect of the present invention is embodied in:
1, the present invention merged transformer station's video monitoring, safety precaution and image recognition function in one, realized video in the intelligent substation safety-security area, the interlock between the dynamical system has extremely strong practicality;
2, the present invention is based on the intelligent image recognition technology, taken full advantage of high-precision recognizer, can be simultaneously to indicator light, pressing plate, the state of rotary switch carries out real-time analysis and judgement, and recognition system is not subjected to environment substantially, illumination, season, the influence of factors such as the position of identifying object, recognition success rate reaches 99%;
3, the present invention has adopted the IEC61850 communication protocol of international standard, under the support of these stipulations, can be with the state of the indicator light after the image recognition, the state of pressing plate, deliver to transformer station's background monitoring system on the pattern of the position of rotary switch with digital signal, adapt to the development need of intelligent transformer station fully;
4, the image recognition algorithm that the present invention is based on is simple and reliable, and operand is little, has very strong real-time, be indexed to from indicator light and identify successfully, on deliver to the time of background monitoring less than 1 second;
5, the present invention can provide assistant criteria the most intuitively for the substation operation personnel, when the operations staff utilizes computer operation actual track circuit breaker or switch, except coming the decision operation success or not by the return value of measure and control device, can also judge by the return value of video monitoring of the present invention interface and image recognition, comprehensively use multiple criterion to be conducive to improve the fail safe of transformer station's operation operation;
6, the present invention does not need extra hardware configuration, only needs to increase software function and get final product in original video monitoring system for substation, and every video camera can be identified the state of a plurality of objects, has reduced cost, has improved efficient.
Description of drawings
Fig. 1 is the transformer substation switch cabinet panel;
Fig. 2 is intelligent security guard auxiliary system structure chart;
Fig. 3 is the condition monitoring system overall construction drawing;
Fig. 4 is condition monitoring system image recognition flow chart;
Number in the figure: 1 switch cabinet panel; 2 circuit breaker indicator lights; 3 pressing plates; 4 rotary switches.
Embodiment
Referring to Fig. 1, condition monitoring system based on image recognition in the present embodiment is a subsystem of intelligent substation security protection auxiliary system, the latter has also comprised gate inhibition's subsystem, the environment subsystem of monitoring humiture, the power sub-system of equipment such as monitoring air-conditioning, fire-fighting subsystem, antitheft subsystem and other subsystems that relate to the substation safety strick precaution.The intelligent security guard auxiliary system has realized the interlock between each subsystem by whole storage and communication construction design.In addition, this system can also carry out data interaction by external communication interface and transformer station's other system.The condition monitoring subsystem is the core of intelligent security guard auxiliary system, and it comprises image acquisition units and image identification unit.
The overall structure of condition monitoring system is referring to Fig. 2.The intelligent substation operations staff mainly is to send circuit breaker deciliter signal by the IEC61850 stipulations to the measure and control device in the transformer station by background monitoring system to the routine control of actual track circuit breaker, the measure and control device remote-control circuit breaker carries out deciliter then, simultaneously the result behind the circuit breaker deciliter is turned back to background monitoring system.Here, the operations staff can only obtain whether successful information of operation by this approach.
Transformer substation switch cabinet panel schematic diagram is referring to Fig. 3.After introducing condition monitoring system, the operations staff also can send control command information to the intelligent security guard auxiliary system when sending control command by background monitoring system to measure and control device.Image acquisition units in the security protection auxiliary system coomand mode supervisory control system is carried out IMAQ with video camera to switch cabinet panel 1, obtain the panel that includes circuit breaker indicator light 2, pressing plate 3 and rotary switch 4 and gather image, obtain the device area image according to the device area position of having demarcated, the device area image refers to include one group of indicator light, or one group of pressing plate, or the image of the device region of one group of switch.Then, the subsystem of video that on the one hand video image is sent to condition monitoring system dynamically shows, make the operations staff can see the situation of circuit breaker deciliter indicator light intuitively, on the other hand, send the image of taking and store to image identification unit, to indicator light, the state information of pressing plate and rotary switch is identified automatically, result after the identification is delivered to background monitoring system with the form of digital signal by the IEC61850 stipulations, make the operations staff determine the result of this operation in conjunction with number of ways, improved fail safe and the reliability of transformer station's operation operation.
The flow process of image identification unit as shown in Figure 4 in the condition monitoring system, according to the monitoring requirement to switch cubicle, after video camera obtains the image of destination objects such as switch, indicator light, then send into image identification unit immediately, image identification unit mainly comprises geometric correction module, device cutting module, illumination evaluation module, pattern measurement module and condition judgement module.Wherein:
The geometric correction module is carried out geometric correction to the device area image of input, by spatial alternation and gray-level interpolation algorithm, removes the picture distortion that brings because of video camera imaging plane and switch cubicle Plane Angle deviation.The coordinate system (the device image of inclination) that spatial alternation is used for tilting is transformed into conventional coordinates by rotation and translation, and the matrix that changes into a 4*4 is taken advantage of the vectorial add operation of operation and a 1*4; Gray scale (R, G, three components of B) on the non-integer coordinates point of gray-level interpolation algorithm after to spatial alternation estimates, thereby obtains the device area image demarcated.
The device cutting module cuts the device area image of demarcating, and obtains the device image of each individual devices; There are differences at the brightness because of device brightness and device periphery background, and the bimodal pattern that in the device area image grey level histogram, shows, calculate two peak-to-peak valley points in the grey level histogram by watershed algorithm, the valley point is carried out binaryzation as threshold value to image, again the image after the binaryzation is done projection on level and the vertical both direction, according to projection information, obtain each device coordinate range in the horizontal and vertical directions, thereby the device image is cut out from the device area image;
The illumination evaluation module is according to the brightness value of each device image, provide brightness higher limit and the lower limit that can satisfy correct recognition image, and with higher limit and lower limit as luminance threshold, when the brightness value of device image is in the luminance threshold scope, it is normal to be judged to be illumination, otherwise provides the unusual prompting of illumination or alarm;
About the pattern measurement module, because the state of device so must reasonably choose the feature of image, is measured calculating to every block of device image then, thereby obtained corresponding characteristic value by the correlated characteristic reflection.At circuit breaker indicator light, pressing plate and rotary switch, choose lamp mean picture brightness-contrast associating feature, pressing plate image press button zone saturation-center of gravity associating feature respectively, and switch image spanner zone leveling brightness-center of gravity associating feature is carried out state description, obtain on-the-spot device characteristics of image vector, these features with respect to separately device except having stronger anti-noise ability, the characteristics that also possess rotational invariance and be easy to calculate;
The condition judgement module is based on the corresponding normal component characteristics of image of predefined standard state vector, and carry out distance with on-the-spot device characteristics of image vector and calculate, and with the judgment basis of result of calculation as device state.
Claims (1)
1. based on the intelligent substation condition monitoring system of image recognition, it is characterized in that arranging:
One image acquisition units, utilize the high frequency light source to illuminate intelligent substation switch cabinet panel (1), with video camera switch cabinet panel (1) is carried out IMAQ, obtain the panel that includes circuit breaker indicator light (2), pressing plate (3) and rotary switch (3) and gather image, obtain the device area image according to the device area position of having demarcated, described device area image refers to include one group of indicator light, or one group of pressing plate, or the image of the device region of one group of switch;
Two image identification unit are handled and are identified by the device area image that network sends over described image acquisition units; Described image identification unit comprises: geometric correction module, device cutting module, illumination evaluation module, pattern measurement module and condition judgement module; Wherein:
Described geometric correction module, device area image to input carries out geometric correction, by spatial alternation and gray-level interpolation algorithm, remove the picture distortion that brings because of video camera imaging plane and switch cubicle Plane Angle deviation, thereby obtain the device area image of demarcation;
Described device cutting module cuts the device area image of described demarcation, obtains the device image of each individual devices; There are differences at the brightness because of device brightness and device periphery background, and the bimodal pattern that in the device area image grey level histogram, shows, calculate two peak-to-peak valley points in the grey level histogram by watershed algorithm, described valley point is carried out binaryzation as threshold value to image, again the image after the binaryzation is done projection on level and the vertical both direction, according to projection information, obtain each device coordinate range in the horizontal and vertical directions, thereby the device image is cut out from the device area image;
Described illumination evaluation module, brightness value according to each device image, provide brightness higher limit and the lower limit that can satisfy correct recognition image, and with described higher limit and lower limit as luminance threshold, when the brightness value of device image is in the luminance threshold scope, it is normal to be judged to be illumination, otherwise provides the unusual prompting of illumination or alarm;
Described pattern measurement module, at circuit breaker indicator light, pressing plate and rotary switch, choose lamp mean picture brightness-contrast associating feature, pressing plate image press button zone saturation-center of gravity associating feature respectively, and switch image spanner zone leveling brightness-center of gravity associating feature is carried out state description, is obtained on-the-spot device characteristics of image vector;
Described condition judgement module based on the corresponding normal component characteristics of image of predefined standard state vector, is carried out distance with described on-the-spot device characteristics of image vector and is calculated, and with the judgment basis of result of calculation as device state.
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