CN104469305A - Fault detecting method and device of power grid video monitoring device - Google Patents
Fault detecting method and device of power grid video monitoring device Download PDFInfo
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- CN104469305A CN104469305A CN201410736432.9A CN201410736432A CN104469305A CN 104469305 A CN104469305 A CN 104469305A CN 201410736432 A CN201410736432 A CN 201410736432A CN 104469305 A CN104469305 A CN 104469305A
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Abstract
The invention discloses a fault detecting method and device of a power grid video monitoring device. The fault detecting method includes the steps that the fault detecting device obtains a current image shot by the power grid video monitoring device, compares the current image with a prestored historical image shot by the power grid video monitoring device, judges whether faults exist in the current image or not according to the comparison result of the current image and the historical image, and generates first warning information for warning if faults exist in the current image. By means of the fault detecting method and device, the problem that in the prior art, due to the fact that manual browsing is needed, the fault detection efficiency is low is solved, and the fault detection efficiency is improved.
Description
Technical field
The present invention relates to field of video monitoring, in particular to a kind of fault detection method and device of power network video watch-dog.
Background technology
For realizing the unified monitoring of the whole network video resource, grading control, centralized management, meet the demand for development of video monitoring apparatus globalize, integration, supporting business device Video Applications demand, the building-up work of electrical network unify video supervising device has been organized in unification of the motherland.Complete the building-up work of electrical network unify video supervising device at present, access transformer station, business hall, the video surveillance point positions such as information communication machine room.
There is the phenomenon to each business support degree of depth deficiency in prior art, according to general arrangement, in conjunction with actual business requirement, carry out video-unit and improve lifting pilot development and implementation.Current electrical network unify video supervising device achieves the real-time monitoring to substation field, equipment etc.But present stage mainly adopts manual monitoring mode to pinpoint the problems, have that monitoring objective is indefinite, inefficiency, workload are huge, a response defect such as not in time, cause video surveillance applications cannot play the object of its assistant visualizing operation monitoring.Video monitoring can be the visual operation of electrical network and visual control provides effective means, however Video service provide that to rely on equipment of itself intact.
The current video monitoring equipment to having accessed, also not to video monitoring equipment fault discovery and managerial effective means, the malfunction elimination of video equipment realizes mainly through artificial browsing video, huge workload is brought to operation maintenance personnel, waste a large amount of manpower and materials, and be difficult to quick position equipment fault.In other words, there is the problem that fault detection efficiency owing to needing artificial browsing video to bring is lower in prior art.
For the problems referred to above, also there is no effective solution at present.
Summary of the invention
Main purpose of the present invention is the fault detection method and the device that provide a kind of power network video watch-dog, solves problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art.
According to an aspect of the embodiment of the present invention, provide a kind of fault detection method of power network video watch-dog, it comprises: checkout equipment obtains the present image taken by power network video watch-dog, described checkout equipment by described present image with prestore, history image taken by described power network video watch-dog compares, according to the comparative result of described present image and described history image, described checkout equipment judges whether described present image breaks down, if described present image breaks down, then described checkout equipment generates the first warning information and carries out alarm.
Further, checkout equipment by described present image with prestore, history image taken by described power network video watch-dog compares and comprises: described checkout equipment obtains the similarity of the second picture in the first picture in the presumptive area of described present image and the described presumptive area in described history image; If described similarity is less than the first predetermined threshold, then described checkout equipment generates the comparative result being used to indicate described present image and breaking down.
Further, checkout equipment by described present image with prestore, history image taken by described power network video watch-dog compare time, also comprise: described checkout equipment judges whether described present image itself breaks down; If described present image itself breaks down, then described checkout equipment generates the second warning information and carries out alarm.
Further, checkout equipment judges whether described present image itself breaks down and comprises: described checkout equipment judges whether the definition of described present image is less than the second predetermined threshold; If described definition is less than described second predetermined threshold, then described checkout equipment judges that described present image itself breaks down.
Further, checkout equipment judges whether described present image itself breaks down and comprises: described checkout equipment judges to occur in described present image whether the region of same color is greater than the 3rd predetermined threshold; If occur in described present image, the region of same color is greater than described 3rd predetermined threshold, then described checkout equipment judges that described present image itself breaks down.
To achieve these goals, according to the failure detector that another aspect provides a kind of power network video watch-dog of the embodiment of the present invention, the failure detector of power network video watch-dog comprises: acquiring unit, for obtaining the present image taken by power network video watch-dog, comparing unit, for by described present image with prestore, history image taken by described power network video watch-dog compares, first judging unit, for judging whether described present image breaks down according to the comparative result of described present image and described history image, first Alarm Unit, for when described first judging unit judges that described present image breaks down, generate the first warning information and carry out alarm.
Further, described comparing unit comprises: acquisition module, for obtaining the similarity of the second picture in the first picture in the presumptive area of described present image and the described presumptive area in described history image, generation module, for when described similarity is less than the first predetermined threshold, generate the comparative result being used to indicate described present image and breaking down.
Further, the failure detector of power network video watch-dog is characterised in that, also comprise: the second judging unit, for described comparing unit by described present image with prestore, history image taken by described power network video watch-dog compare time, judge whether described present image itself breaks down, second Alarm Unit, for when described second judging unit judges that described present image itself breaks down, generates the second warning information and carries out alarm.
Further, described second judging unit comprises: the first judge module, for judging whether the definition of described present image is less than the second predetermined threshold, when described definition is less than described second predetermined threshold, judge that described present image itself breaks down.
Further, described second judging unit comprises: the second judge module, for judging to occur in described present image whether the region of same color is greater than the 3rd predetermined threshold; When occurring that in described present image the region of same color is greater than described 3rd predetermined threshold, judge that described present image itself breaks down.
In an embodiment of the present invention, whether broken down by checkout equipment automatic decision present image, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, improve the fault detection efficiency of video monitoring equipment.
Accompanying drawing explanation
The accompanying drawing forming a application's part is used to provide a further understanding of the present invention, and schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the optional network architecture schematic diagram of one of the fault detection system of the embodiment of the present invention;
Fig. 2 is the optional flow chart of one of the fault detection method of the power network video watch-dog of the embodiment of the present invention;
Fig. 3 is the optional flow chart of another kind of the fault detection method of the power network video watch-dog of the embodiment of the present invention;
Fig. 4 is another optional flow chart of the fault detection method of the power network video watch-dog of the embodiment of the present invention;
Fig. 5 is the optional structure chart of one of the failure detector of the power network video watch-dog of the embodiment of the present invention;
Fig. 6 is the optional structure chart of another kind of the failure detector of the power network video watch-dog of the embodiment of the present invention;
Fig. 7 is another optional structure chart of the failure detector of the power network video watch-dog of the embodiment of the present invention;
Fig. 8 is the historical picture of failure detector and the schematic diagram of current picture of the power network video watch-dog of the embodiment of the present invention; And
Fig. 9 is the historical picture of the failure detector of the power network video watch-dog of the embodiment of the present invention and the another kind of schematic diagram of current picture.
Embodiment
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the present invention in detail in conjunction with the embodiments.
The present invention program is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a part of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
It should be noted that, term " first ", " second " etc. in specification of the present invention and claims and above-mentioned accompanying drawing are for distinguishing similar object, and need not be used for describing specific order or precedence.Should be appreciated that the data used like this can be exchanged, in the appropriate case so that embodiments of the invention described herein.In addition, term " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, such as, contain those steps or unit that the process of series of steps or unit, method, device, product or equipment is not necessarily limited to clearly list, but can comprise clearly do not list or for intrinsic other step of these processes, method, product or equipment or unit.
Fig. 1 is the optional network architecture schematic diagram of one of the fault detection system of the embodiment of the present invention, and as shown in Figure 1, the fault detection system of the embodiment of the present invention comprises: checkout equipment 10 and power network video watch-dog 20.In the present embodiment, checkout equipment 10 can be, but not limited to be: server, computer handheld terminal, embedded scm; Power network video watch-dog 20 can be, but not limited to: camera; Checkout equipment 10 can be connected in the following manner with power network video watch-dog 20: local area network (LAN), metropolitan area network, wide area network.Above-mentioned checkout equipment 10 and power network video watch-dog 20 can be, but not limited to by optical fiber, wireless network connecting communication.
In an embodiment of the present invention, whether broken down by checkout equipment automatic decision present image, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, improve the fault detection efficiency of video monitoring equipment.
Embodiment 1
The fault detection method of the power network video watch-dog of the embodiment of the present invention is described below in conjunction with the fault detection system shown in Fig. 2.
This Fig. 2 is the optional flow chart of one of the fault detection method of the power network video watch-dog of the embodiment of the present invention, and as shown in Figure 2, the fault detection method of the power network video watch-dog of the embodiment of the present invention comprises:
S202: checkout equipment obtains the present image taken by power network video watch-dog;
Alternatively, the power network video watch-dog in the present embodiment can be, but not limited to comprise: camera, is arranged in place to be monitored, and such as, above-mentioned place to be monitored is the room placing power equipment; Image transmission, for the image transmitting in above-mentioned place that photographed by camera to the video monitor being positioned at far-end; Video monitor, for receiving and showing the above-mentioned image that camera photographs.Wherein, above-mentioned image transmission and video monitor can be, but not limited to be connected in the following manner: local area network (LAN), metropolitan area network, wide area network.Above-mentioned checkout equipment and power network video watch-dog can be, but not limited to by optical fiber, wireless network connecting communication.
Alternatively, the checkout equipment in the present embodiment can be, but not limited to as server, desktop computer, notebook computer, panel computer, smart mobile phone, embedded scm etc.Alternatively, checkout equipment in the present embodiment can be set to be integrally formed with power network video watch-dog, namely, power network video watch-dog comprises above-mentioned checkout equipment, or, checkout equipment also can be set to the equipment of independence and power network video watch-dog, that is, above-mentioned checkout equipment is arranged on the outside of power network video watch-dog.
Alternatively, the checkout equipment in the present embodiment can be, but not limited to obtain present image from power network video watch-dog:
1) obtain a present image photographed by power network video watch-dog every predetermined period, wherein, above-mentioned predetermined period can be pre-arranged, and such as, is set in advance as every 5 minutes and obtains a present image photographed by power network video watch-dog;
2) from multiple present images continuous photographed by power network video watch-dog Stochastic choice one as the present image for follow-up compare operation.
Alternatively, in the present embodiment, what power network video watch-dog photographed often open present image can be stored in power network video watch-dog, and also can be stored on the equipment independent of power network video watch-dog, the present embodiment does not limit this.
S204: above-mentioned checkout equipment by above-mentioned present image with prestore, history image taken by above-mentioned power network video watch-dog compares;
Alternatively, the history image taken by electrical network video monitoring equipment can be stored, this history image can be, but not limited to for power network video watch-dog the time period photographs of having pass by history image in one or more, such as, above-mentioned history image can be power network video watch-dog image that is taken, place to be monitored before month, and wherein, this image is for representing that place to be monitored is in normal condition, that is, for representing that place to be monitored is not swarmed into by people.
Alternatively, above-mentioned history image is stored in power network video watch-dog, and also can be stored on the equipment independent of power network video watch-dog, the present embodiment does not limit this.
Fig. 8 is the fault detect historical picture of the power network video watch-dog of the embodiment of the present invention and the schematic diagram of current picture.In figure, A1 is history image, B1 is present image, object for comparing can be the whole region of image A1 and the whole region of image B1, or, can be the regional area of image A1 (such as, region P1 shown in Fig. 8) and the regional area (the region P2 such as, shown in Fig. 8) of image B1.Like this by comparing the subregion of present image and history image, the system resource overhead for performing compare operation can be saved; In addition, the above-mentioned subregion for performing compare operation can be pre-set, thus can monitor specific region.
S206: according to the comparative result of above-mentioned present image and above-mentioned history image, above-mentioned checkout equipment judges whether above-mentioned present image breaks down;
Alternatively, whether be less than predetermined threshold according to the similarity of above-mentioned present image and above-mentioned history image and judge whether above-mentioned present image breaks down.
S208: if above-mentioned present image breaks down, then above-mentioned checkout equipment generates the first warning information and carries out alarm.
Alternatively, the mode of above-mentioned alarm can be, but not limited to buzzing, vibrations, display bullet window, and pushed information, notifies the connection device of detection system.
In the above-described embodiments, whether broken down by checkout equipment automatic decision present image, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, improve the fault detection efficiency of video monitoring equipment.
Fig. 3 is the optional flow chart of another kind of the fault detection method of power network video watch-dog of the present invention.Checkout equipment by present image with prestore, history image taken by above-mentioned power network video watch-dog compares, idiographic flow comprises:
S302: above-mentioned checkout equipment obtains the similarity of the second picture in the first picture in the presumptive area of above-mentioned present image and the above-mentioned presumptive area in above-mentioned history image;
Alternatively, presumptive area can be certain specific region in whole image or image, and the similarity of present image and history image includes but not limited to: image storage size, unit are pixel, same area color.
For the image shown in Fig. 8, Fig. 8 is the fault detect historical picture of the power network video watch-dog of the embodiment of the present invention and the schematic diagram of current picture.In figure, A1 is history image, B1 is present image, object for comparing can be the whole region of image A1 and the whole region of image B1, or, can be the regional area of image A1 (such as, region P1 shown in Fig. 8) and the regional area (the region P2 such as, shown in Fig. 8) of image B1.Like this by comparing the subregion of present image and history image, the system resource overhead for performing compare operation can be saved; In addition, the above-mentioned subregion for performing compare operation can be pre-set, thus can monitor specific region.
S304: if above-mentioned similarity is less than the first predetermined threshold, then generate the comparative result being used to indicate above-mentioned present image and breaking down.
Alternatively, first predetermined threshold of different video monitoring equipments can be different or identical, the first predetermined threshold as all video monitoring equipments is all 90%, because the region of video monitoring equipment monitoring is different, present image as parking lot often has car or people to occur, mountain area high-voltage wire pole few people occur, priority level in region is different, if the priority level at gate, community is lower than high-tension electricity well house, or the difference of watch-dog self, the image pixel of some watch-dog shooting is higher, picture is more clear, first predetermined threshold also can be different, the first predetermined threshold as the video monitoring equipment at gate, community is 50%, first predetermined threshold of high-tension electricity well house is 95%.Similarity can for often opening the similarity between present image and corresponding history image simultaneously; or the mean value of the similarity between multiple present image and corresponding history images determines according to the factor such as priority level, watch-dog self in the region of above-mentioned monitoring, region; as the airtight high-risk machine room that personnel forbid into; can determine according to the similarity of often opening present image whether monitoring image breaks down; according to the mean value of the similarity of multiple present images, the parking lot that people's car often flows, can determine whether monitoring image breaks down.Different predetermined thresholds and the algorithm of similarity is set according to above-mentioned different monitoring environment, native system can be enable to be applied to more more complex environments, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, improve the efficiency of video monitoring equipment O&M.
By the fault detection method of above-mentioned power network video watch-dog, by the image storage size of often opening the mean value of the similarity of present image or the similarity of multiple present images of comparison history image and present image, unit are pixel, same area color, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, achieve the fault of Aulomatizeted Detect video monitoring equipment, greatly improve the efficiency of video monitoring equipment O&M.
Fig. 4 is another optional flow chart of the fault detection method of the power network video watch-dog of the embodiment of the present invention;
Checkout equipment by above-mentioned present image with prestore, history image taken by above-mentioned power network video watch-dog compare time, idiographic flow comprises:
S402: above-mentioned checkout equipment judges whether above-mentioned present image itself breaks down;
Alternatively, checkout equipment judges whether above-mentioned present image itself breaks down and comprises: above-mentioned checkout equipment judges whether the definition of above-mentioned present image is less than the second predetermined threshold; If above-mentioned definition is less than above-mentioned second predetermined threshold, then judge that above-mentioned present image itself breaks down.
Alternatively, the definition of present image includes but not limited to: image storage size, unit are pixel.
Alternatively, second predetermined threshold of different video monitoring equipments can be different or identical, the second predetermined threshold as all video monitoring equipments is all 90%, and definition can be the definition of often opening present image, or the mean value of the definition of multiple present images.
Alternatively, the definition of present image includes but not limited to: image storage size, unit are pixel.As judged, image storage size 1M is the second predetermined threshold, when the size of the present image obtained is less than 1M, judge that present image is as fault picture, unit are pixel, pixel 100 as present image per inch is the second predetermined threshold, when the pixel of the present image per inch obtained is less than 100, judge that present image is as fault picture.Second predetermined threshold of different video monitoring equipments can be different or identical, and the second predetermined threshold as all video monitoring equipments is all 90%, and definition can be the definition of often opening present image, or the mean value of the definition of multiple present images.
Alternatively, checkout equipment judges whether above-mentioned present image itself breaks down and also comprises: above-mentioned checkout equipment judges to occur in above-mentioned present image whether the region of same color is greater than the 3rd predetermined threshold; If occur in above-mentioned present image, the region of same color is greater than above-mentioned 3rd predetermined threshold, then judge that above-mentioned present image itself breaks down.
Alternatively, occur that the region of same color can be the specific region of whole image or image in present image, color can be the checkout equipment all colours that can identify or specific color.
Alternatively, the 3rd predetermined threshold of different video monitoring equipments can be different or identical, and the 3rd predetermined threshold as all video monitoring equipments is all 90%.
Fig. 9 is the fault detect historical picture of the power network video watch-dog of the embodiment of the present invention and the another kind of schematic diagram of current picture.In figure, A2 is history image, B2 is present image, judge that present image be the 3rd predetermined threshold of fault picture is 50%, color is black, when in present image, the region of black is greater than 50%, judges that present image itself breaks down, in the present image B2 obtained, because the striped of black is too much, causes the region occurring black to be greater than 50%, judge that present image is fault picture.
S404: if above-mentioned present image itself breaks down, then above-mentioned checkout equipment generates the second warning information and carries out alarm.
Alternatively, the mode of above-mentioned alarm can be, but not limited to buzzing, vibrations, display bullet window, and pushed information, notifies the connection device of detection system.
By the fault detection method of above-mentioned power network video watch-dog, by the image storage size of often opening the mean value of the definition of present image or the definition of multiple present images of comparison present image, unit are pixel, judge whether present image itself breaks down, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, achieve the fault of Aulomatizeted Detect video monitoring equipment, greatly improve the efficiency of video monitoring equipment O&M.
Embodiment 2
Fig. 5 is the optional structure chart of one of the failure detector of the power network video watch-dog of the embodiment of the present invention.
As shown in Figure 5, the failure detector of a kind of power network video watch-dog of the embodiment of the present invention, comprising: acquiring unit 501, comparing unit 502, first judging unit 503, first Alarm Unit 504.
1) acquiring unit 501, for obtaining the present image taken by power network video watch-dog.
Alternatively, the power network video watch-dog in the present embodiment can be, but not limited to comprise: camera, is arranged in place to be monitored, and such as, above-mentioned place to be monitored is the room placing power equipment; Image transmission, for the image transmitting in above-mentioned place that photographed by camera to the video monitor being positioned at far-end; Video monitor, for receiving and showing the above-mentioned image that camera photographs.Wherein, above-mentioned image transmission and video monitor can be, but not limited to be connected in the following manner: local area network (LAN), metropolitan area network, wide area network.Above-mentioned checkout equipment and power network video watch-dog can be, but not limited to by optical fiber, wireless network connecting communication.
Alternatively, the checkout equipment in the present embodiment can be, but not limited to as server, desktop computer, notebook computer, panel computer, smart mobile phone, embedded scm etc.Alternatively, checkout equipment in the present embodiment can be set to be integrally formed with power network video watch-dog, namely, power network video watch-dog comprises above-mentioned checkout equipment, or, checkout equipment also can be set to the equipment of independence and power network video watch-dog, that is, above-mentioned checkout equipment is arranged on the outside of power network video watch-dog.
Alternatively, the checkout equipment in the present embodiment can be, but not limited to obtain present image from power network video watch-dog:
1-1) obtain a present image photographed by power network video watch-dog every predetermined period, wherein, above-mentioned predetermined period can be pre-arranged, and such as, is set in advance as every 5 minutes and obtains a present image photographed by power network video watch-dog;
1-2) from multiple present images continuous photographed by power network video watch-dog Stochastic choice one as the present image for follow-up compare operation.
2) comparing unit 502, for by described present image with prestore, history image taken by described power network video watch-dog compares.
Alternatively, the history image taken by electrical network video monitoring equipment can be stored, this history image can be, but not limited to for power network video watch-dog the time period photographs of having pass by history image in one or more, such as, above-mentioned history image can be power network video watch-dog image that is taken, place to be monitored before month, and wherein, this image is for representing that place to be monitored is in normal condition, that is, for representing that place to be monitored is not swarmed into by people.
Alternatively, above-mentioned history image is stored in power network video watch-dog, and also can be stored on the equipment independent of power network video watch-dog, the present embodiment does not limit this.
3) according to setting model, the first judging unit 503, for judging whether described present image breaks down according to the comparative result of described present image and described history image, judges whether above-mentioned present image breaks down.
Alternatively, whether be less than predetermined threshold according to the similarity of above-mentioned present image and above-mentioned history image and judge whether above-mentioned present image breaks down.
4) the first Alarm Unit 504, for when described first judging unit judges that described present image breaks down, generates the first warning information and carries out alarm.
Alternatively, the mode of above-mentioned alarm can be, but not limited to buzzing, vibrations, display bullet window, and pushed information, notifies the connection device of detection system.
In the above-described embodiments, whether broken down by checkout equipment automatic decision present image, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, improve the fault detection efficiency of video monitoring equipment.
Fig. 6 is the optional structure chart of another kind of the failure detector of the power network video watch-dog of the embodiment of the present invention.As the another kind of optional embodiment of the present invention, comparing unit 502 also comprises: acquisition module 5021, generation module 5022.
1) acquisition module 5021, for obtaining the similarity of the second picture in the first picture in the presumptive area of described present image and the described presumptive area in described history image.Presumptive area can be certain specific region in whole image or image, and the similarity of present image and history image includes but not limited to: image storage size, unit are pixel, same area color.
Fig. 8 is the fault detect historical picture of the power network video watch-dog of the embodiment of the present invention and the schematic diagram of current picture.In figure, A1 is history image, B1 is present image, and the portrait that acquisition module obtains can be the similarity of the whole image of B1, then with the whole image ratio of history image A1 comparatively, also can be the specific region P2 of B1 image, then compare with the corresponding region P1 of history image.Like this by comparing certain part specific region of present image, namely save the data spending of system, also can visual plant in key monitoring video monitoring regional.
2) generation module 5022, for when described similarity is less than the first predetermined threshold, generates the comparative result being used to indicate described present image and breaking down.
Alternatively, first predetermined threshold of different video monitoring equipments can be different or identical, the first predetermined threshold as all video monitoring equipments is all 90%, because the region of video monitoring equipment monitoring is different, present image as parking lot often has car or people to occur, mountain area high-voltage wire pole few people occur, priority level in region is different, if the priority level at gate, community is lower than high-tension electricity well house, or the difference of watch-dog self, the image pixel of some watch-dog shooting is higher, picture is more clear, first predetermined threshold also can be different, the first predetermined threshold as the video monitoring equipment at gate, community is 50%, first predetermined threshold of high-tension electricity well house is 95%.Similarity can for often opening the similarity between present image and corresponding history image simultaneously; or the mean value of the similarity between multiple present image and corresponding history images determines according to the factor such as priority level, watch-dog self in the region of above-mentioned monitoring, region; as the airtight high-risk machine room that personnel forbid into; can determine according to the similarity of often opening present image whether monitoring image breaks down; according to the mean value of the similarity of multiple present images, the parking lot that people's car often flows, can determine whether monitoring image breaks down.Different predetermined thresholds and the algorithm of similarity is set according to above-mentioned different monitoring environment, native system can be enable to be applied to more more complex environments, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, improve the efficiency of video monitoring equipment O&M.
Fig. 7 is another optional structure chart of the failure detector of the power network video watch-dog of the embodiment of the present invention.As another optional embodiment of the present invention, as shown in Figure 7, the failure detector of power network video watch-dog also comprises: the second judging unit 505, second Alarm Unit 506.Second judging unit 505 also comprises: the first judge module 5051, first judge module 5052.
1) the second judging unit 505, for described comparing unit by described present image with prestore, history image taken by described power network video watch-dog compare time, judge whether described present image itself breaks down.
1-1) the first judge module 5051, for judging whether the definition of described present image is less than the second predetermined threshold, when described definition is less than described second predetermined threshold, judges that described present image itself breaks down.
Alternatively, the definition of present image includes but not limited to: image storage size, unit are pixel.As judged, image storage size 1M is the second predetermined threshold, when the size of the present image obtained is less than 1M, judge that present image is as fault picture, unit are pixel, pixel 100 as present image per inch is the second predetermined threshold, when the pixel of the present image per inch obtained is less than 100, judge that present image is as fault picture.Second predetermined threshold of different video monitoring equipments can be different or identical, and the second predetermined threshold as all video monitoring equipments is all 90%, and definition can be the definition of often opening present image, or the mean value of the definition of multiple present images.
1-2) the second judge module 5052, for judging to occur in described present image whether the region of same color is greater than the 3rd predetermined threshold; When occurring that in described present image the region of same color is greater than described 3rd predetermined threshold, judge that described present image itself breaks down.
Alternatively, occur that the region of same color can be the specific region of whole image or image in present image, color can be the checkout equipment all colours that can identify or specific color, as redness, black, white.3rd predetermined threshold of different video monitoring equipments can be different or identical, and the 3rd predetermined threshold as all video monitoring equipments is all 90%, and definition can be the definition of often opening present image, or the mean value of the definition of multiple present images.
Fig. 9 is the fault detect historical picture of the power network video watch-dog of the embodiment of the present invention and the another kind of schematic diagram of current picture.In figure, A2 is history image, B2 is present image, judge that present image be the 3rd predetermined threshold of fault picture is 50%, color is black, when in present image, the region of black is greater than 50%, judges that present image itself breaks down, in the present image B2 obtained, because the striped of black is too much, causes the region occurring black to be greater than 50%, judge that present image is fault picture.
2) the second Alarm Unit 506, for when described second judging unit judges that described present image itself breaks down, generates the second warning information and carries out alarm.
Alternatively, checkout equipment generates warning information, and above-mentioned alarm mode can be, but not limited to as buzzing, vibrations, display bullet window, pushed information.When watch-dog monitor video monitoring equipment break down time, the very first time generates warning information to notify field operation or operation maintenance personnel, in time as counter-measure, loss is made to reduce to minimum, warning information can pass through buzzing by external audio frequency equipment, the mode broadcast announcement of vibrations gives all those present persons, at night or noise monitoring region, operator on duty can be informed by display bullet window, obtain and send to responsible person concerned by PUSH message, to make, as early as possible as counter-measure, to increase work efficiency.
By the fault detection method of above-mentioned power network video watch-dog, by the image storage size of often opening the mean value of the definition of present image or the definition of multiple present images of comparison present image, unit are pixel, judge whether present image itself breaks down, solve problem lower due to the fault detection efficiency needing artificial browsing video to bring in prior art, improve the efficiency of video monitoring equipment O&M.
It should be noted that, for aforesaid each embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in specification all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
In several embodiments that the application provides, should be understood that, disclosed device, the mode by other realizes.Such as, device embodiment described above is only schematic, the such as division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprises all or part of step of some instructions in order to make a computer equipment (can be personal computer, mobile terminal, server or the network equipment etc.) perform method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), portable hard drive, magnetic disc or CD etc. various can be program code stored medium.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a fault detection method for power network video watch-dog, is characterized in that, comprising:
Checkout equipment obtains the present image taken by power network video watch-dog;
Described checkout equipment by described present image with prestore, history image taken by described power network video watch-dog compares;
According to the comparative result of described present image and described history image, described checkout equipment judges whether described present image breaks down;
If described present image breaks down, then described checkout equipment generates the first warning information and carries out alarm.
2. method according to claim 1, is characterized in that, described checkout equipment by described present image with prestore, history image taken by described power network video watch-dog compares and comprises:
Described checkout equipment obtains the similarity of the second picture in the first picture in the presumptive area of described present image and the described presumptive area in described history image;
If described similarity is less than the first predetermined threshold, then described checkout equipment generates the comparative result being used to indicate described present image and breaking down.
3. method according to claim 1, is characterized in that, described checkout equipment by described present image with prestore, history image taken by described power network video watch-dog compare time, also comprise:
Described checkout equipment judges whether described present image itself breaks down;
If described present image itself breaks down, then described checkout equipment generates the second warning information and carries out alarm.
4. method according to claim 3, is characterized in that, described checkout equipment judges whether described present image itself breaks down and comprises:
Described checkout equipment judges whether the definition of described present image is less than the second predetermined threshold;
If described definition is less than described second predetermined threshold, then described checkout equipment judges that described present image itself breaks down.
5. method according to claim 3, is characterized in that, described checkout equipment judges whether described present image itself breaks down and comprises:
Described checkout equipment judges to occur in described present image whether the region of same color is greater than the 3rd predetermined threshold;
If occur in described present image, the region of same color is greater than described 3rd predetermined threshold, then described checkout equipment judges that described present image itself breaks down.
6. a failure detector for power network video watch-dog, is characterized in that, comprising:
Acquiring unit, for obtaining the present image taken by power network video watch-dog;
Comparing unit, for by described present image with prestore, history image taken by described power network video watch-dog compares;
According to the comparative result of described present image and described history image, first judging unit, for judging whether described present image breaks down;
First Alarm Unit, for when described first judging unit judges that described present image breaks down, generates the first warning information and carries out alarm.
7. device according to claim 6, is characterized in that, described comparing unit comprises:
Acquisition module, for obtaining the similarity of the second picture in the first picture in the presumptive area of described present image and the described presumptive area in described history image;
Generation module, for when described similarity is less than the first predetermined threshold, generates the comparative result being used to indicate described present image and breaking down.
8. device according to claim 6, is characterized in that, also comprises:
Second judging unit, for described comparing unit by described present image with prestore, history image taken by described power network video watch-dog compare time, judge whether described present image itself breaks down;
Second Alarm Unit, for when described second judging unit judges that described present image itself breaks down, generates the second warning information and carries out alarm.
9. device according to claim 8, is characterized in that, described second judging unit comprises:
First judge module, for judging whether the definition of described present image is less than the second predetermined threshold; When described definition is less than described second predetermined threshold, judge that described present image itself breaks down.
10. device according to claim 8, is characterized in that, described second judging unit comprises:
Second judge module, for judging to occur in described present image whether the region of same color is greater than the 3rd predetermined threshold; When occurring that in described present image the region of same color is greater than described 3rd predetermined threshold, judge that described present image itself breaks down.
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