CN117394184A - Automatic defect investigation method, device and equipment for substation equipment and storage medium - Google Patents
Automatic defect investigation method, device and equipment for substation equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
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- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The invention discloses an automatic defect inspection method, device and equipment for substation equipment and a storage medium. The method comprises the following steps: according to a preset cruising path, cruising flight is carried out in a detection area of the transformer substation; when flying to each detection point, carrying out temperature measurement on the detection point to obtain the area temperature information of an area where the detection point is located; when determining that the temperature abnormality exists in the target detection point according to the area temperature information, taking a multi-angle photograph and measuring the temperature by taking the target detection point as a center; and reporting photographing and temperature measurement results aiming at the target detection point to a background for equipment alarming. The technical scheme of the embodiment of the invention realizes the automation of the defect inspection of the transformer substation equipment, not only makes up the defect that the original unmanned aerial vehicle inspection is inflexible, but also further reduces the manual intervention and improves the inspection efficiency.
Description
Technical Field
The invention relates to the technical field of intelligent substation inspection and management, in particular to an automatic defect inspection method, device and equipment for substation equipment and a storage medium.
Background
Aiming at the power field, as equipment in a transformer substation is dense, the electromagnetic environment is complex, the importance degree of the equipment is high, and the consequences caused by the voltage loss of the transformer substation equipment are serious, so that the inspection work of the transformer substation equipment becomes increasingly important. The unmanned aerial vehicle is not limited by a three-dimensional space, and the application of the high-precision RTK technology on the unmanned aerial vehicle is more and more mature, so that the unmanned aerial vehicle plays an important role in the electric power field.
At present, a transformer substation unmanned plane mainly depends on two operation modes, namely manual flight and automatic cruising. However, in the process of implementing the present invention, the inventors found that the following drawbacks exist in the prior art: for example, when the unmanned aerial vehicle is automatically cruising, photographing and temperature measurement can only be performed at a set point, multi-angle temperature measurement cannot be performed, and misdetection risks exist. Meanwhile, after the defects are found, tracking and temperature measurement cannot be performed intelligently on the defects, and the defects are reported automatically.
Disclosure of Invention
In view of the above, the invention provides an automatic defect checking method, device, equipment and storage medium for substation equipment, which are used for solving the problems that the unmanned aerial vehicle automatically cruises and has inaccurate temperature measurement, incapability of tracking the temperature measurement, automatic reporting of defects and the like.
In a first aspect, an embodiment of the present invention provides an automatic defect inspection method for substation equipment, which is executed by an unmanned aerial vehicle, and includes:
according to a preset cruising path, cruising flight is carried out in a detection area of the transformer substation, wherein the cruising path comprises a plurality of preset detection points;
when flying to each detection point, carrying out temperature measurement on the detection point, and acquiring the regional temperature information of a region where the detection point is located, wherein the detection point is associated with set substation equipment;
when determining that the temperature abnormality exists in the target detection point according to the area temperature information, taking a multi-angle photograph and measuring the temperature by taking the target detection point as a center;
and reporting photographing and temperature measurement results aiming at the target detection point to a background for equipment alarming.
In a second aspect, an embodiment of the present invention further provides an automatic defect inspection apparatus for substation equipment, which is executed by an unmanned aerial vehicle capable of automatically cruising and measuring temperature, the apparatus including:
the system comprises a cruise flight module, a power supply module and a control module, wherein the cruise flight module is used for performing cruise flight in a detection area of a transformer substation according to a preset cruise path, and the cruise path comprises a plurality of preset detection points;
The temperature measurement module is used for carrying out temperature measurement on each detection point when flying to each detection point and obtaining the regional temperature information of the region where the detection point is located, wherein the detection point is associated with set substation equipment;
the temperature anomaly identification module is used for taking photos at multiple angles and measuring the temperature by taking the target detection point as a center when determining that the temperature anomaly exists in the target detection point according to the regional temperature information;
and the equipment alarm module is used for reporting photographing and temperature measurement results aiming at the target detection point to the background for equipment alarm.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform an automatic defect inspection method for substation equipment according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement an automatic defect inspection method of a substation device according to any embodiment of the present invention when executed.
According to the technical scheme, the unmanned aerial vehicle is utilized to carry out cruising flight in the detection area of the transformer substation, so that multi-angle shooting and temperature measurement can be carried out on a target detection point with abnormal temperature, further, a photo and a temperature measurement result are reported to a background to carry out equipment alarming, abnormal equipment is automatically tracked and cruised, and the whole process realizes the automation of defect investigation on the transformer substation equipment. Not only make up the inflexible defect of original unmanned aerial vehicle inspection, still further reduced manual intervention, promoted inspection efficiency.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an automatic defect inspection method for substation equipment according to a first embodiment of the present invention;
fig. 2 is a track diagram of a preset cruising route of an unmanned aerial vehicle, to which the technical solution of the embodiment of the present invention is applied;
FIG. 3 is an interface screenshot of an automatically generated defect list embodying an embodiment of the present invention;
FIG. 4 is a diagram of the operational load of a device to be inspected on the previous day to which the technical solution of the embodiment of the present invention is applied;
fig. 5 is a flowchart of another automatic defect inspection method for substation equipment according to the second embodiment of the present invention;
fig. 6 is a schematic diagram of the unmanned aerial vehicle acquiring temperature at a target detection point in an actual inspection process;
fig. 7 is a complete flowchart of an automatic defect inspection method for implementing substation equipment, to which the technical solution of the embodiment of the present invention is applied;
fig. 8 is a schematic structural diagram of an automatic defect inspection apparatus for substation equipment according to a third embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device implementing an automatic defect inspection method for substation equipment according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of an automatic defect inspection method for a substation device according to a first embodiment of the present invention, where the method may be performed by an automatic defect inspection apparatus for a substation device, and the automatic defect inspection apparatus for a substation device may be implemented in hardware and/or software, and the inspection apparatus may be configured in an unmanned aerial vehicle capable of automatically cruising and measuring temperature. As shown in fig. 1, the method includes:
S110, performing cruising flight in a detection area of a transformer substation according to a preset cruising path, wherein the cruising path comprises a plurality of preset detection points;
before the task starts, a cruising route and detection points of equipment are preset for the unmanned aerial vehicle with an automatic cruising function, as shown in fig. 2, a white line is a preset cruising route, and the setting of the cruising route comprises the route from a flying spot to the detection points of equipment to be inspected and the flight path among the detection points of the unmanned aerial vehicle. The detection area of the transformer substation comprises a plurality of devices, and the unmanned aerial vehicle carries out cruising detection on the devices according to a preset path in the detection area.
S120, when flying to each detection point, carrying out temperature measurement on the detection point to acquire the area temperature information of an area where the detection point is located, wherein the detection point is associated with set substation equipment;
the association of the detection point and the set substation equipment means that the detection point is preset on each equipment, so that when the unmanned aerial vehicle flies to the detection point to perform temperature measurement, the obtained area temperature information of the area where the detection point is located is the temperature of the unmanned aerial vehicle within a certain range which can be obtained by the detection point.
S130, when the temperature abnormality of a target detection point is determined according to the regional temperature information, taking a multi-angle photo and measuring the temperature by taking the target detection point as a center;
and if the unmanned aerial vehicle judges that the abnormality exists in the target detection point, the unmanned aerial vehicle can take a picture and measure the temperature at multiple angles by taking the target detection point of the equipment as the center, and collect multiple data.
Under the target detection point, after the shooting focal length is amplified by a set multiple, shooting an image of the target detection point, and re-measuring the temperature;
wherein, can lock the position that generates heat before the multi-angle is photographed and the temperature measurement automatically, and then enlarge focus to appointed multiple, the purpose is more accurate temperature information.
Taking the target detection point as the center, and taking a photo and measuring the temperature of at least one angle at the flying position after flying a preset distance value along the upper, lower, left and right directions.
The multi-angle photographing temperature measurement means that an unmanned opportunity takes a target detection point as a center and performs photographing temperature measurement in four directions of up, down, left and right at a certain distance from the detection point.
And S140, reporting photographing and temperature measurement results aiming at the target detection point to a background for equipment alarming.
The equipment warning means that no one can report the collected multi-angle photos and temperature measurement results to the background of the management center, and a defect report is automatically generated, so that a manager is reminded that the equipment is abnormal and needs to be maintained, and the automation and the intellectualization of the whole defect inspection process are realized.
Specifically, after the photographing and temperature measurement results of the target detection point are reported to the background to perform equipment alarm, the method further comprises:
if a confirmation defect indication fed back by a background aiming at the equipment alarm is received, generating an automatic defect list matched with the target monitoring point;
issuing the automatic defect list to a maintenance platform to instruct maintenance personnel to maintain the substation equipment at the target detection point;
after receiving an instruction from an equipment alarm sent by an unmanned aerial vehicle, the background automatically generates a defect list for the target detection point, and fig. 3 is an interface display of the automatically generated defect list, and as shown in fig. 3, the defect list mainly contains information as follows: equipment number, position, defect discovery time and the like, and a maintainer can rapidly locate fault equipment according to the information in the defect list to finish subsequent maintenance and other works on the equipment.
Optionally, after issuing the automatic defect list to the maintenance platform, the method may further include:
determining a backtracking time period according to the temperature anomaly detection time of the target detection point;
the load curve of the substation equipment of the target detection point in the backtracking time period is obtained in a networking mode, and automatic tracking time is determined according to the occurrence time of the highest load point in the load curve;
when the current system time reaches the automatic tracking time, re-measuring the temperature of the target detection point to acquire the temperature information of a target area of the area where the target detection point is positioned;
and when the target detection point is determined to not eliminate the temperature abnormality according to the target area temperature information, returning to execute the operation of generating an automatic defect list matched with the target monitoring point.
According to the embodiment, the time when the problem equipment is detected to be abnormal can be obtained according to the defect list, and the backtracking time period is the day when the equipment alarm is sent out to the background and the defect list is automatically generated, so that the backtracking time period is determined to be convenient for tracking and inspecting the problem equipment. Further, the unmanned opportunity tracks the problem equipment again on the next day of the backtracking time period, and at this time, a load curve of the substation equipment where the target detection point is located, which runs in the backtracking time period, needs to be obtained through networking, and the running load diagram of the equipment is shown in fig. 4. As can be seen from fig. 4, a highest point can be found in the load map, where the highest point is the maximum value of the load of the device at a certain moment in the backtracking time period, and since the load value is positively correlated with the temperature of the device, the temperature of the device reaches the highest point at the moment corresponding to the highest point of the load map, and the moment is determined as the automatic tracking time of the unmanned aerial vehicle on the next day.
The next day the unmanned aerial vehicle can reach the detection point of the abnormal equipment along the preset route at the automatic tracking time again and spread out the temperature measurement again for the detection point, so that the target area temperature information of the area where the detection point is can be obtained again. Further, according to the obtained regional temperature information, whether the target equipment still has the defect of temperature abnormality can be judged, if the target equipment still has the defect of temperature abnormality, the unmanned opportunity records the time of the temperature abnormality detection again, a new backtracking time period is determined again, a platform is alerted again and a defect list is generated again, and the tracking operation is continuously executed until the temperature abnormality is eliminated.
Specifically, after obtaining the target area temperature information of the area where the target detection point is located, the method may further include:
when the temperature abnormality of a target detection point is eliminated according to the temperature information of the target area, detecting the processing condition of an automatic defect list matched with the target detection point by a maintenance personnel;
when the fact that the manual processing is not completed is determined, returning to execute the operation of generating an automatic defect list matched with the target detection point;
and when the manual processing is determined to be completed, ending continuous tracking of the target detection point.
The method comprises the steps that when a temperature abnormality is determined to be eliminated, the unmanned aerial vehicle finds that the temperature abnormality is eliminated when tracking and measuring the temperature of equipment again on the next day of alarming equipment and issuing a defect list, namely, the equipment returns to normal temperature. At this time, it is necessary to determine whether the result of the abnormality having been eliminated is that the maintenance person finds out its corresponding problem equipment from the defect list to perform maintenance. If the operation of eliminating the temperature abnormality is not manual processing, no one can execute the operation of alarming the equipment and generating a defect list again so as to remind a maintenance person to conduct manual investigation until confirming that the abnormality is manually processed. If the operation of eliminating the temperature anomaly is determined to be manual, then the defect of the target device is determined to be successfully repaired, and the continuous tracking of the target detection point is ended.
Optionally, determining that the target detection point does not eliminate the temperature anomaly according to the target area temperature information may further include:
acquiring a target maximum temperature and a target minimum temperature in the target area temperature information;
acquiring the region temperature information when the temperature abnormality of the target detection point is determined as a reference maximum temperature and a reference minimum temperature in the reference region temperature information;
If the difference value between the target maximum temperature and the reference maximum temperature exceeds the preset temperature difference threshold value, determining that the target detection point does not eliminate the temperature abnormality;
if the difference value of the target maximum temperature and the reference maximum temperature exceeds the preset difference threshold value, calculating a target relative temperature difference matched with the target area temperature information and a reference relative temperature difference matched with the reference area temperature information;
and if the difference value between the target relative temperature difference and the reference relative temperature difference exceeds the preset temperature difference threshold value, determining that the target detection point does not eliminate the temperature abnormality.
The unmanned aerial vehicle can acquire the maximum value and the minimum value of the temperature in the temperature abnormal target area under the automatic tracking time, and in addition, the unmanned aerial vehicle can acquire the maximum value and the minimum value of the temperature in the temperature information of the target area when the temperature abnormality exists in the target detection point. As described above, the determination of whether the target detection point is abnormal in temperature is performed by comparing the temperature and the relative temperature difference. Wherein, the relative difference in temperature is: a percentage of the ratio of the difference in temperature rise between two corresponding points to the temperature rise at the higher temperature point therein.
(1) When temperature comparison is employed, it is necessary to compare the temperature difference value with a preset temperature difference threshold. The two values used to calculate the temperature difference value are respectively: the maximum value of the temperature in the temperature abnormality target area at the automatic tracking time is also referred to as a target maximum temperature, and the maximum value of the temperature in the target area when the temperature abnormality exists at the target detection point is determined to be also referred to as a reference maximum temperature. And obtaining a difference value between the target maximum temperature and the reference maximum temperature by taking the difference, and if the temperature difference value exceeds a preset temperature difference threshold value, considering that the target detection point does not eliminate the temperature abnormality. The preset temperature difference threshold value can be an empirical value or can be defined manually, namely, the temperature difference threshold value can be flexibly set according to different requirements.
(2) When the relative temperature difference comparison is adopted, the difference value of the relative temperature difference needs to be compared with a preset relative temperature difference threshold value. The two values used to calculate the relative temperature difference value are: determining the calculated relative temperature delta in the target detection area when the temperature abnormality exists in the target detection point t1 Also known as a reference relative temperature difference, and a calculated relative temperature difference delta in the target detection area of the abnormal temperature at the automatic tracking time t2 Also known as the target relative temperature difference. Due to the reference relative temperature difference delta t1 Is the basis for judging the abnormality of the detection point, so the point is known. Whereas the value delta of the target relative temperature difference t2 Also calculated using the relative temperature difference calculation formula:
δ t2 ＝(T1-T2)/(T1-T0)*100％
wherein T1 in the formula is the maximum temperature of the temperature anomaly target detection area in the automatic tracking time; t2 is the minimum temperature, and the temperature of the temperature anomaly target detection area is the maximum value under the automatic tracking time; t0 is the temperature of the external environment at this auto-tracking time. The result delta obtained by calculation t2 And delta t1 And (3) performing difference comparison to obtain a difference value between the relative temperature differences, and if the difference value of the relative temperature differences exceeds a preset relative temperature difference threshold value, considering that the target detection point does not eliminate temperature abnormality. The preset relative temperature difference threshold value can be an empirical value or can be manually specified, namely, the relative temperature difference threshold value can be flexibly set according to different requirements.
According to the embodiment of the invention, cruising flight is carried out in a detection area of the transformer substation according to a preset cruising path; when flying to each detection point, carrying out temperature measurement on the detection point to obtain the area temperature information of an area where the detection point is located; when determining that the temperature abnormality exists in the target detection point according to the area temperature information, taking a multi-angle photograph and measuring the temperature by taking the target detection point as a center; and reporting photographing and temperature measurement results aiming at the target detection point to a background for equipment alarming. The novel automatic defect investigation method for the transformer substation equipment is characterized in that the unmanned aerial vehicle is utilized to carry out cruising flight in a transformer substation detection area, multi-angle shooting and temperature measurement can be carried out on a target detection point with abnormal temperature, further, a photo and a temperature measurement result are reported to a background to carry out equipment alarm, abnormal equipment is automatically tracked and cruised, and the whole process realizes the automation of defect investigation of the transformer substation equipment. Not only make up the inflexible defect of original unmanned aerial vehicle inspection, still further reduced manual intervention, promoted inspection efficiency.
Example two
Fig. 5 is a flowchart of another automatic defect inspection method for substation equipment according to the second embodiment of the present invention, where the embodiment is based on the foregoing embodiments, and in this embodiment, implementation details of the entire scheme are specified.
S510, when the temperature abnormality of the target detection point is determined according to the area temperature information, taking a multi-angle photo and measuring the temperature by taking the target detection point as a center.
Before the task starts, a cruising route and detection points of equipment are preset for the unmanned aerial vehicle with an automatic cruising function, as shown in fig. 2, a white line is a preset cruising route, and the setting of the cruising route comprises the route from a flying spot to the detection points of equipment to be inspected and the flight path among the detection points of the unmanned aerial vehicle. The detection area of the transformer substation comprises a plurality of devices, and the unmanned aerial vehicle carries out cruising detection on the devices according to a preset path in the detection area.
S520, when the area temperature information of the current detection point is acquired, acquiring the maximum temperature and the minimum temperature in the area temperature information.
Further, fig. 6 shows a schematic diagram of the unmanned aerial vehicle acquiring the temperature at the target detection point in the actual inspection process, as shown in fig. 6, the unmanned aerial vehicle may acquire the maximum temperature and the minimum temperature of the current detection point area from the area, and automatically calculate the temperature average value according to the maximum temperature and the minimum temperature. Taking fig. 5 as an example, the maximum temperature of the device in the drawing is 51.95 ℃, the minimum temperature is 30.15 ℃, and the average temperature is 35.82 ℃.
And S530, if the maximum temperature exceeds a preset temperature threshold, determining that the current detection point is a target detection point with abnormal temperature.
In this embodiment, the temperature threshold may be set manually according to the surrounding environment and the use condition of the apparatus, and in general, when the temperature of the detection point exceeds 80 ℃, the apparatus is generally considered to be abnormal.
S540, if the maximum temperature does not exceed the preset temperature threshold, according to the formula:
δ t ＝(T1-T2)/(T1-T0)*100％
calculating to obtain the relative temperature difference delta t Wherein T1 is the maximum temperature, T2 is the minimum temperature, and T0 is the air temperature.
As can be seen from the first embodiment, for judging whether the abnormality exists in the equipment, delta is used for the relative temperature difference by comparing the relative temperature difference in addition to the temperature t The above formula is the relative temperature difference delta t Is a calculation formula of (2). T1 is the maximum temperature, namely the maximum temperature of equipment in a detection area formed by the target detection point; t2 is the minimum temperature, namely the minimum temperature value of equipment in a detection area formed by the target detection points; t0 is the external ambient temperature at the time of detection.
S550, if delta t And if the current detection point exceeds the preset relative temperature difference threshold value, determining that the current detection point is a target detection point with abnormal temperature.
Fig. 7 shows a complete process of how the unmanned aerial vehicle gradually realizes automatic defect inspection after starting temperature measurement and judging temperature abnormality in the embodiment of the invention. Wherein, in the scheme, the temperature threshold is set to be 80 ℃, the relative temperature difference threshold is set to be 80 percent, namely when the temperature is higher than 80 ℃ or delta t If the content is more than or equal to 80 percent, the equipment is considered to have abnormality. It should be noted that, the selection of the temperature and the relative temperature difference threshold value is based on the application of the infrared diagnosis of the electrified equipmentSpecification, which specifies: when the temperature of the equipment is higher than 80 ℃ or the relative temperature difference delta is more than or equal to 80%, the defect exists, and in actual operation, the preset values of the temperature and the relative temperature difference threshold can be flexibly set according to actual conditions. Similarly, the judgment standard for judging whether the temperature set by the unmanned aerial vehicle for eliminating the abnormality increases by 10 ℃ and the relative temperature difference increases by 10% during the tracking inspection can also be used for adjusting the threshold according to the actual situation.
Example III
Fig. 8 is a schematic structural diagram of an automatic defect inspection device for substation equipment according to a third embodiment of the present invention. As shown in fig. 8, the apparatus includes:
the cruise flight module 810 is configured to perform cruise flight in a substation detection area according to a preset cruise path, where the cruise path includes a plurality of preset detection points;
The temperature measurement module 820 is configured to perform temperature measurement on each detection point when flying to the detection point, and obtain area temperature information of an area where the detection point is located, where the detection point is associated with a set substation device;
an anomaly identification module 830, configured to take a photograph at multiple angles and measure a temperature with the target detection point as a center when it is determined that the temperature anomaly exists at the target detection point according to the region temperature information;
and the device alarm module 840 is configured to report the photographing and temperature measurement results for the target detection point to the background for device alarm.
According to the technical scheme, the unmanned aerial vehicle is utilized to carry out cruising flight in the detection area of the transformer substation, so that multi-angle shooting and temperature measurement can be carried out on a target detection point with abnormal temperature, further, a photo and a temperature measurement result are reported to a background to carry out equipment alarming, abnormal equipment is automatically tracked and cruised, and the whole process realizes the automation of defect investigation on the transformer substation equipment. Not only make up the inflexible defect of original unmanned aerial vehicle inspection, still further reduced manual intervention, promoted inspection efficiency.
Based on the above embodiments, the anomaly identification module 830 specifically includes:
The device comprises an area temperature information acquisition unit, a control unit and a control unit, wherein the area temperature information acquisition unit is used for acquiring the maximum temperature and the minimum temperature in the area temperature information when acquiring the area temperature information of the current detection point;
a temperature comparison unit, configured to determine that the current detection point is a target detection point with a temperature abnormality if the maximum temperature exceeds a preset temperature threshold;
the relative temperature difference calculation unit is used for, if the maximum temperature does not exceed a preset temperature threshold value, according to the formula:
δ t ＝(T1-T2)/(T1-T0)*100％
calculating to obtain the relative temperature difference delta t Wherein T1 is the maximum temperature, T2 is the minimum temperature, and T0 is the air temperature;
relative temperature difference comparing unit, if delta t And if the current detection point exceeds the preset relative temperature difference threshold value, determining that the current detection point is a target detection point with abnormal temperature.
Based on the above embodiments, the anomaly identification module 730 may further include:
the amplifying shooting unit is used for shooting the image of the target detection point after the shooting focal length is amplified by a set multiple under the target detection point, and re-measuring the temperature;
and the multi-angle photographing temperature measuring unit is used for taking the target detection point as the center, and performing photographing and temperature measurement of at least one angle at the flying position after flying along the preset distance values in the upper direction, the lower direction, the left direction and the right direction.
On the basis of the above embodiments, the method further includes a defect list generating and issuing unit, configured to:
after photographing and temperature measurement results of the target detection point are reported to the background for equipment alarming, if a confirmed defect indication fed back by the background for the equipment alarming is received, an automatic defect list matched with the target monitoring point is generated;
and issuing the automatic defect list to a maintenance platform to instruct maintenance personnel to maintain the substation equipment at the target detection point.
On the basis of the above embodiments, the automatic tracking unit is further configured to:
after issuing the automatic defect list to a maintenance platform, determining a backtracking time period according to the temperature abnormality detection time of the target detection point;
the load curve of the substation equipment of the target detection point in the backtracking time period is obtained in a networking mode, and automatic tracking time is determined according to the occurrence time of the highest load point in the load curve;
when the current system time reaches the automatic tracking time, re-measuring the temperature of the target detection point to acquire the temperature information of a target area of the area where the target detection point is positioned;
And when the target detection point is determined to not eliminate the temperature abnormality according to the target area temperature information, returning to execute the operation of generating an automatic defect list matched with the target monitoring point.
On the basis of the above embodiments, the automatic tracking unit further comprises a verification manual processing subunit, specifically configured to: after acquiring target area temperature information of an area where the target detection point is located, when determining that the target detection point eliminates temperature abnormality according to the target area temperature information, detecting the processing condition of an automatic defect list matched with the target monitoring point by a maintainer;
when the incomplete manual processing is determined, returning to execute the operation of generating an automatic defect list matched with the target monitoring point;
and when the manual processing is determined to be completed, ending continuous tracking of the target monitoring point.
On the basis of the above embodiments, the automatic tracking unit further includes an anomaly removal determination subunit, specifically configured to: determining that the target detection point does not eliminate the temperature anomaly according to the target area temperature information comprises the following steps:
acquiring a target maximum temperature and a target minimum temperature in the target area temperature information;
acquiring the region temperature information when the temperature abnormality of the target detection point is determined as a reference maximum temperature and a reference minimum temperature in the reference region temperature information;
If the difference value between the target maximum temperature and the reference maximum temperature exceeds the preset temperature difference threshold value, determining that the target detection point does not eliminate the temperature abnormality;
if the difference value of the target maximum temperature and the reference maximum temperature exceeds the preset difference threshold value, calculating a target relative temperature difference matched with the target area temperature information and a reference relative temperature difference matched with the reference area temperature information;
and if the difference value between the target relative temperature difference and the reference relative temperature difference exceeds the preset temperature difference threshold value, determining that the target detection point does not eliminate the temperature abnormality.
The automatic defect inspection device for the substation equipment provided by the embodiment of the invention can execute the automatic defect inspection method for the substation equipment provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 9 shows a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 9, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as an automatic defect review method for substation equipment.
In some embodiments, an automatic defect review method for substation equipment may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of an automatic defect review method of substation equipment as described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform an automatic defect review method of the substation equipment in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. An automatic defect inspection method of substation equipment, executed by an unmanned aerial vehicle, characterized by comprising:
according to a preset cruising path, cruising flight is carried out in a detection area of the transformer substation, wherein the cruising path comprises a plurality of preset detection points;
when flying to each detection point, carrying out temperature measurement on the detection point, and acquiring the regional temperature information of a region where the detection point is located, wherein the detection point is associated with set substation equipment;
When determining that the temperature abnormality exists in the target detection point according to the area temperature information, taking a multi-angle photograph and measuring the temperature by taking the target detection point as a center;
and reporting photographing and temperature measurement results aiming at the target detection point to a background for equipment alarming.
2. The method of claim 1, wherein determining that a temperature anomaly exists at a target detection point based on the zone temperature information comprises:
when the regional temperature information of the current detection point is acquired, acquiring the maximum temperature and the minimum temperature in the regional temperature information;
if the maximum temperature exceeds a preset temperature threshold, determining the current detection point as a target detection point with abnormal temperature;
if the maximum temperature does not exceed the preset temperature threshold, then according to the formula:
δ t ＝(T1-T2)/(T1-T0)*100％
calculating to obtain the relative temperature difference delta t Wherein T1 is the maximum temperature, T2 is the minimum temperature, and T0 is the air temperature;
if delta t And if the current detection point exceeds the preset relative temperature difference threshold value, determining that the current detection point is a target detection point with abnormal temperature.
3. The method of claim 1, wherein taking multiple-angle photographs and temperature measurements centered on the target detection point comprises:
Under the target detection point, after the shooting focal length is amplified by a set multiple, shooting an image of the target detection point, and re-measuring the temperature;
taking the target detection point as the center, and taking a photo and measuring the temperature of at least one angle at the flying position after flying a preset distance value along the upper, lower, left and right directions.
4. A method according to any one of claims 1-3, characterized in that after reporting the photographing and temperature measurement results for the target detection point to the background for device alerting, it further comprises:
if a confirmation defect indication fed back by a background aiming at the equipment alarm is received, generating an automatic defect list matched with the target monitoring point;
and issuing the automatic defect list to a maintenance platform to instruct maintenance personnel to maintain the substation equipment at the target detection point.
5. The method of claim 4, further comprising, after issuing the automated defect list to a repair platform:
determining a backtracking time period according to the temperature anomaly detection time of the target detection point;
the load curve of the substation equipment of the target detection point in the backtracking time period is obtained in a networking mode, and automatic tracking time is determined according to the occurrence time of the highest load point in the load curve;
When the current system time reaches the automatic tracking time, re-measuring the temperature of the target detection point to acquire the temperature information of a target area of the area where the target detection point is positioned;
and when the target detection point is determined to not eliminate the temperature abnormality according to the target area temperature information, returning to execute the operation of generating an automatic defect list matched with the target monitoring point.
6. The method of claim 5, further comprising, after obtaining the target area temperature information of the area in which the target detection point is located:
when the target detection point is determined to eliminate temperature abnormality according to the target area temperature information, detecting the processing condition of an automatic defect list matched with the target monitoring point by a maintainer;
when the fact that the manual processing is not completed is determined, returning to execute the operation of generating an automatic defect list matched with the target detection point;
and when the manual processing is determined to be completed, ending continuous tracking of the target detection point.
7. The method of claim 5, wherein determining from the target zone temperature information that a target detection point does not eliminate a temperature anomaly comprises:
acquiring a target maximum temperature and a target minimum temperature in the target area temperature information;
Acquiring the region temperature information when the temperature abnormality of the target detection point is determined as a reference maximum temperature and a reference minimum temperature in the reference region temperature information;
if the difference value between the target maximum temperature and the reference maximum temperature exceeds the preset temperature difference threshold value, determining that the target detection point does not eliminate the temperature abnormality;
if the difference value of the target maximum temperature and the reference maximum temperature exceeds the preset difference threshold value, calculating a target relative temperature difference matched with the target area temperature information and a reference relative temperature difference matched with the reference area temperature information;
and if the difference value between the target relative temperature difference and the reference relative temperature difference exceeds the preset temperature difference threshold value, determining that the target detection point does not eliminate the temperature abnormality.
8. An automatic defect inspection device of substation equipment, which is executed by an unmanned aerial vehicle capable of automatically cruising and measuring temperature, the device comprising:
the system comprises a cruise flight module, a power supply module and a control module, wherein the cruise flight module is used for performing cruise flight in a detection area of a transformer substation according to a preset cruise path, and the cruise path comprises a plurality of preset detection points;
the temperature measurement module is used for carrying out temperature measurement on each detection point when flying to each detection point and obtaining the regional temperature information of the region where the detection point is located, wherein the detection point is associated with set substation equipment;
The abnormality identification module is used for taking photos at multiple angles and measuring the temperature by taking the target detection point as a center when determining that the temperature abnormality exists in the target detection point according to the regional temperature information;
and the equipment alarm module is used for reporting photographing and temperature measurement results aiming at the target detection point to the background for equipment alarm.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform an automatic defect inspection method of a substation equipment according to any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to execute an automatic defect inspection method of a substation equipment according to any one of claims 1-7.
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| CN202311344598.1A CN117394184A (en) | 2023-10-17 | 2023-10-17 | Automatic defect investigation method, device and equipment for substation equipment and storage medium |
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