CN111488819B - Disaster damage monitoring, sensing and collecting method and device for power equipment - Google Patents
Disaster damage monitoring, sensing and collecting method and device for power equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for monitoring, sensing and acquiring disaster damage of power equipment, wherein the method comprises the following steps: the method comprises the steps that visual information of a power site is collected through a visual detector, and a plurality of three-dimensional images of the power site are generated; the visual detector comprises a visible light detector, an infrared detector and an ultraviolet detector; processing the plurality of three-dimensional images to determine a device identifier corresponding to the power device contained in the three-dimensional images; acquiring real-time operation data and historical operation data which are stored in a server and correspond to the equipment identification; and displaying the real-time operation data and the historical operation data at corresponding positions in the three-dimensional image. The method can accurately acquire the operation data and the damage condition of the power equipment, and assist field emergency personnel to quickly know the disaster condition of the power equipment and carry out rescue and first-aid repair.
Description
Technical Field
The invention relates to the technical field of power equipment, in particular to a method and a device for monitoring, sensing and acquiring disaster damage of power equipment.
Background
The safe and stable operation of various power equipment in the national power grid is an important guarantee for the normal life and work of people. In recent years, various natural disasters are frequent and have a growing trend, and typhoons, heavy rainfall, geological earthquakes, rain, snow, ice and other disasters can cause huge damage to power grid equipment.
In the prior art, the method for reporting the disaster damage information of the power equipment still mainly depends on manual site investigation, so that on one hand, the efficiency of acquiring the site information is low, and on the other hand, the problems of difficult data acquisition, slow acquisition, large limitation, few data sources and the like exist in the coming of a major emergency, the emergency response scientific decision is influenced, and the damaged data of the disaster damage site equipment cannot be acquired rapidly and comprehensively.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to overcome the above-mentioned defects in the prior art, so as to provide a scheme capable of rapidly obtaining the operation data of the electrical equipment and accurately judging the operation status of the electrical equipment.
Therefore, according to one aspect of the invention, a method for monitoring, sensing and acquiring disaster damage of power equipment is provided, which comprises the following steps:
the method comprises the steps that visual information of a power site is collected through a visual detector, and a plurality of three-dimensional images of the power site are generated; the visual detector comprises a visible light detector, an infrared detector and an ultraviolet detector;
processing the plurality of three-dimensional images to determine a device identifier corresponding to the power device contained in the three-dimensional images;
acquiring real-time operation data and historical operation data which are stored in a server and correspond to the equipment identification;
and displaying the real-time operation data and the historical operation data at corresponding positions in the three-dimensional image.
Illustratively, before the step of acquiring visual information of the power site through the visual detector and generating a plurality of three-dimensional images of the power site, the method further comprises:
and acquiring the standard point cloud characteristics of each power device in the power field, and storing the mapping relation between the standard point cloud characteristics and the device identification of the corresponding power device.
Illustratively, the step of performing image processing on the three-dimensional image to determine a device identifier corresponding to the power device contained in the three-dimensional image includes:
preprocessing the three-dimensional image to remove noise;
adjusting the three-dimensional image based on the standard point cloud information so that the visual angle of the three-dimensional image corresponds to the visual angle of the standard point cloud information;
and comparing the point cloud information of the power equipment contained in the three-dimensional image with the stored standard point cloud information to determine the standard point cloud information corresponding to the point cloud information of the power equipment, and acquiring an equipment identifier having a mapping relation with the standard point cloud information.
Illustratively, after the step of acquiring visual information of the power site through the visual detector and generating a plurality of three-dimensional images of the power site, the method further comprises:
detecting whether continuity conditions are met among the multiple three-dimensional images;
when a continuity condition is not satisfied between the plurality of three-dimensional images, generating, by the vision probe, a supplementary three-dimensional image of the power site such that the continuity condition is satisfied between the supplementary three-dimensional image and the plurality of three-dimensional images.
Exemplarily, the method further comprises the following steps:
determining an operating condition of the electrical device based on visual features of the electrical device appearing in the three-dimensional image; the visual characteristics include temperature characteristics and representative needle indication characteristics.
Exemplarily, the method further comprises the following steps:
when the real-time operation data and the historical operation data corresponding to the electric power equipment cannot be acquired through the server, the real-time operation data corresponding to the electric power equipment is acquired in a wireless mode.
Exemplarily, the method further comprises the following steps:
determining an operating condition of the electrical device based on the real-time operating data and the historical operating data.
According to a second aspect of the present invention, there is provided a disaster monitoring, sensing and collecting device for electrical equipment, comprising:
the image acquisition unit is used for acquiring visual information of a power site through a visual detector and generating a plurality of three-dimensional images of the power site; the visual detector comprises a visible light detector, an infrared detector and an ultraviolet detector;
the device identification unit is used for processing the three-dimensional images to determine device identifications corresponding to the power devices contained in the three-dimensional images;
the data acquisition unit is used for acquiring real-time operation data and historical operation data which are stored in a server and correspond to the equipment identification;
and the fusion display unit is used for displaying the real-time operation data and the historical operation data at corresponding positions in the three-dimensional image.
According to a third aspect of the present invention, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
According to a fourth aspect of the invention, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The technical scheme of the invention has the following advantages:
(1) The machine vision environment modeling technology is used in the equipment identification process of the electric power disaster site, and the electric power equipment in the disaster site can be identified and compared finely without external auxiliary equipment, so that the real-time and historical operation data of the field equipment can be acquired accurately.
(2) According to the invention, machine vision point cloud identification and wireless sensor networking technologies are combined, the machine vision point cloud identification technology is utilized to realize refined identification of field equipment, the running vision of corresponding equipment of a background is obtained, wireless communication modules such as a wireless sensor networking ZigBee and the like are utilized to realize rapid networking and data acquisition of a power equipment field sensor after a background monitoring system cannot obtain the real-time running state of the equipment due to serious disaster damage, and a complete and reliable field power equipment disaster damage data acquisition method system is established through the fusion of the two data acquisition technologies, so that field emergency personnel can be ensured to rapidly and accurately obtain the damage condition of the power equipment, and emergency rescue is rapidly carried out.
(3) The invention integrates RGB visible light modeling and multi-band (infrared and ultraviolet) modeling methods, improves the recognition rate of the equipment in a complex disaster environment, adopts multi-band light to monitor and recognize equipment faults which can not be recognized by naked eyes, and effectively improves the equipment fault discovery probability.
(4) The real-time and historical operation information of the identified entity equipment is overlaid, displayed and fused with the entity scene of the equipment by utilizing the augmented reality technology, so that field operation personnel vividly and accurately acquire detailed real-time operation data and damaged conditions of the entity equipment, and field emergency personnel are assisted to quickly know the disaster condition of the power equipment and carry out rescue and first-aid repair.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a method for monitoring, sensing and collecting a disaster damage of an electrical device in embodiment 1 of the present invention;
fig. 2 is a schematic block diagram of a specific example of a disaster monitoring, sensing and collecting device of an electrical device in embodiment 2 of the present invention;
fig. 3 is a schematic block diagram of a hardware structure of a disaster monitoring, sensing and collecting device for power equipment in embodiment 3 of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
Referring to fig. 1, a method for monitoring, sensing and collecting a disaster of an electrical device is shown, which includes the following steps:
s100, collecting visual information of a power site through a visual detector to generate a plurality of three-dimensional images of the power site; the vision detector comprises a visible light detector, an infrared detector and an ultraviolet detector.
The power field in this embodiment may include a substation, a wind farm booster station, a thermal power plant, and other practical application scenarios. A visual detector may be utilized to scan the environment of the power site to generate a video clip of the power site that is comprised of a plurality of consecutive three-dimensional images. For example, a 360 ° scan may be made around the entire power site to fully acquire three-dimensional images of all the power equipment at the power site. The visual detector in this embodiment may emit various light rays such as visible light, infrared light, ultraviolet light, and the corresponding three-dimensional image may include a multi-modal image form such as a visible light image, an infrared image, and an ultraviolet image. The visible light image may reflect a surface condition of the power device, indicate a number, the infrared image may reflect a temperature of the power device, the ultraviolet image may reflect a discharge degree of the power device, and the like, so that an operation state of the power device may be monitored from various aspects.
And S200, processing the plurality of three-dimensional images to determine the device identification corresponding to the power device contained in the three-dimensional image.
It is understood that a power field includes a plurality of power devices, and each device identification is used to uniquely identify one power device. Different device identifiers in the power field can be determined through different position information, or different device identifiers can be determined through different shape information, which is not limited in this embodiment.
And S300, acquiring real-time operation data and historical operation data which are stored in the server and correspond to the equipment identification.
Generally, the operation data of each piece of electrical equipment is transmitted to the remote server in real time, so that on the basis of obtaining the unique equipment identifier corresponding to each piece of equipment, historical operation data and real-time operation data corresponding to the target equipment identifier can be obtained from the remote server according to the equipment identifier. It is understood that some operating parameters of the electrical equipment can be directly observed by naked eyes, such as pressure data, temperature data and the like with dial pointer indication; some electrical equipment operating parameters, such as the real-time rotational speed of the generator, the real-time voltage across the transformer, etc., cannot be observed directly by the naked eye. By accessing the remote server, all the operation data corresponding to each electric power device can be accurately acquired.
And S400, displaying the real-time operation data and the historical operation data at corresponding positions in the three-dimensional image.
The historical operation information and the real-time operation information of the power equipment can be used as a basis for judging whether the operation condition of the power equipment is normal or not. The corresponding position of the three-dimensional image may be a spatial position above, below, or to the side of the power equipment. For example, the three-dimensional image includes three pieces of power equipment, namely, an equipment 1, an equipment 2 and an equipment 3, wherein the real-time operation data of the equipment 1 acquired from the server is a numerical value 1, and the historical operation data of the equipment 1 is a numerical value 1'; the real-time operation data of the equipment 2 is a numerical value 2, and the historical operation data of the equipment 2 is a numerical value 2'; the real-time operation data of the device 3 is a value 3, and the historical operation data of the device 3 is a value 3'. The numerical value 1 and the numerical value 1' can be displayed on the upper portion of the image of the equipment 1, the numerical value 2 and the numerical value 2' can be displayed on the upper portion of the image of the equipment 2, and the numerical value 3' can be displayed on the upper portion of the image of the equipment 3, so that the fused display of the real-time operation data and the historical operation data of the power equipment in the three-dimensional image is realized.
The real-time operating data of the electrical devices may include one or several data, while the historical operating data may include a large amount of data. A limited number of historical operating data, such as the historical operating data in the last week, can be selected by setting a filtering condition, so that the display space on the three-dimensional image can be saved, and the comparison process is simplified.
According to the method and the device for monitoring the power equipment, the equipment identification of the power equipment in the image is recognized based on the three-dimensional image, the operation data of the power equipment is obtained from the server and displayed in the three-dimensional image, and therefore on-site emergency processing personnel can accurately and quickly judge the operation state of the power equipment, and the monitoring efficiency of the power equipment under the disaster condition is improved.
Preferably, before step S100, the method further includes: and acquiring the standard point cloud characteristics of each electric power device in the electric power field, and storing the mapping relation between the standard point cloud characteristics and the device identification of the corresponding electric power device.
The method comprises the steps of modeling the electric power equipment through a machine vision technology, and identifying the electric power equipment from a three-dimensional image by using the established model of the electric power equipment. Specifically, a visual detector such as an RGB-D sensor and a multiband sensor (an infrared detector, an ultraviolet detector) can be used to obtain point cloud information of the power equipment in real time, and an ORB feature operator in a binary form is used to perform feature extraction on the point cloud information to obtain standard point cloud features of the power equipment. In specific implementation, the standard point cloud features of the power equipment can be described as visual words in binary form. When a plurality of electric power devices form an electric power system, the visual word corresponding to each electric power device can be stored in the child nodes of the tree structure, and the electric power system can be used as the root node of the tree structure. When multiple power systems are included, the visual words for each corresponding electrical device in each power system may be stored, thereby forming a visual dictionary. Through the visual dictionary, the standard point cloud characteristics of each power device and the membership of the standard point cloud characteristics and the corresponding power system can be inquired.
On the basis of storing the standard point cloud characteristics, the step further stores the mapping relation between the standard point cloud characteristics and the equipment identification. For example, the standard point cloud feature 1 corresponds to the device identifier 1, the standard point cloud feature 2 corresponds to the device identifier 2, and the standard point cloud feature 3 corresponds to the device identifier 3.
The machine vision technology is used for modeling the power equipment, and the mapping relation between the standard point cloud characteristics of the power equipment and the equipment identification is stored, so that the rapidity and the accuracy of the power equipment identification are improved.
Preferably, step S200 includes:
and S210, preprocessing the three-dimensional image to remove noise. Because noise and other factors which are not beneficial to image analysis may exist in the image acquisition process and the image transmission process, the step is used for preprocessing the image, and mainly utilizes low-pass filtering to remove image noise and improve the quality of the image.
S220, adjusting the three-dimensional image based on the standard point cloud information so that the visual angle of the three-dimensional image corresponds to the visual angle of the standard point cloud information. It can be understood that the difference in the shooting angle or the local relative position may exist between the three-dimensional image of the power equipment acquired in real time by using the visual detector and the standard point cloud image acquired in the pre-modeling process, and for convenience of the subsequent feature extraction and equipment identification processes, the images with the difference need to be registered, so that the viewing angle of the three-dimensional image acquired in real time corresponds to the viewing angle of the pre-stored standard point cloud information. Specifically, a method based on feature matching can be adopted, stable feature points can be extracted by using a sift algorithm, the matching problem under the conditions of translation, rotation, affine transformation, view angle transformation and the like between two images is solved, the robustness on illumination change is good, and the matching can be performed with high probability.
And S230, comparing the point cloud information of the power equipment contained in the three-dimensional image with the stored standard point cloud information to determine the standard point cloud information corresponding to the point cloud information of the power equipment, and acquiring an equipment identifier which has a mapping relation with the standard point cloud information.
At the moment, the three-dimensional image of the power equipment acquired by the visual detector in real time and the standard point cloud image acquired in the pre-modeling process are matched with each other, so that the three-dimensional image and the standard point cloud image correspond to each other in the aspects of visual angle, light rays and the like. On the basis, comparing the point cloud information between the three-dimensional images acquired in real time with the standard point cloud information in the standard point cloud image acquired in the modeling process to determine the equipment identification of the power equipment. The point cloud information described in this embodiment may be a plurality of feature points in the three-dimensional point cloud image. For example, when the similarity between the real-time acquired point cloud information and the standard point cloud information is greater than a preset threshold, it is determined that the real-time acquired point cloud information corresponds to the standard point cloud information.
The three-dimensional image acquired in real time is preprocessed and matched with the standard point cloud information to be compared with the standard point cloud information to determine the equipment identifier, so that the equipment identifier confirming efficiency and accuracy can be improved, and the condition of identification errors is avoided.
Preferably, after step S100, the method further comprises:
detecting whether continuity conditions are met among the multiple three-dimensional images; when a continuity condition is not satisfied between the plurality of three-dimensional images, generating, by the vision detector, a supplementary three-dimensional image of the power site such that the continuity condition is satisfied between the supplementary three-dimensional image and the plurality of three-dimensional images.
The continuity condition in the present embodiment may include a temporal continuity condition and a geometric consistency condition. The time continuity condition refers to that the shooting time of the three-dimensional images is continuous, and the geometric consistency condition refers to that adjacent three-dimensional images have geometric consistency, for example, the angle of view of the two adjacent three-dimensional images shot by the same power equipment is not shifted by more than 15 degrees.
By detecting whether the continuity condition is met, the obtained three-dimensional image can completely reflect the overall appearance of the power field, so that the monitoring method can cover all power equipment of the power field, and omission is avoided.
Preferably, the method of this embodiment further includes:
determining an operating condition of the electrical device based on visual features of the electrical device appearing in the three-dimensional image; the visual characteristics include temperature characteristics and pointer indication characteristics.
The visual features refer to features which can be directly displayed in a three-dimensional image, such as parameters of indication number detected by visible light, equipment temperature detected by infrared rays, discharge degree detected by ultraviolet rays and the like. The parameters generally have corresponding preset ranges, and when one or more of the parameters exceed the preset ranges, it is indicated that the power equipment may have abnormal conditions. By extracting the visual features, reliable judgment basis can be provided for field emergency treatment personnel, so that the running state of the power equipment can be simply and intuitively determined.
In addition, besides visual features which can be visually displayed, the embodiment can also provide artificial features, mainly perform mathematical statistics on parameters which are difficult to directly judge by naked eyes, for example, provide statistical graphs in the forms of histograms, oscillograms and the like for parameters such as gray values, infrared temperature difference change values and the like, so that field emergency treatment personnel can conveniently and more clearly and comprehensively know the equipment condition.
Preferably, the detection method of the present invention further comprises:
when the real-time operation data and the historical operation data corresponding to the electric power equipment cannot be acquired through the server, the real-time operation data corresponding to the electric power equipment is acquired in a wireless mode.
The wireless communication modules such as ZigBee and the like can be utilized to realize the rapid networking and data acquisition of various wireless sensors in the power equipment. The FPGA-based acquisition terminal, the ZigBee transmission network and the data center upper computer can be utilized to perform networking communication with the field power equipment wireless sensor. The ZigBee has three standards, namely a ZigBee coordinator, a ZigBee router and ZigBee terminal equipment. The coordinator is responsible for initializing, maintaining and controlling the network; the router is responsible for data acquisition and relaying messages and providing routing information; and the terminal node is responsible for data acquisition. Each network only needs to be configured with one coordinator, the coordinator and the router are FFD, and the terminal node can be FFD or RFD. The Zig Bee standard supports network topologies such as star type, tree type and mesh type. The zigbee tree network is the most common type of topology, in which a coordinator initializes the network, routers form network branches and relay messages, and terminal nodes do not participate in message routing as leaf nodes. The acquisition terminal is responsible for collecting and preprocessing the electric energy information of the transformer substation switch cabinet, and the data are sent to the data center upper computer by the ZigBee multi-hop technology. The data center completes analysis and processing of the data, displays the final processing result in the form of graphs and reports, and stores the data according to the requirements, thereby realizing rapid networking and data acquisition of the field device sensor.
According to the method, rapid networking and data acquisition of the field sensor of the power equipment after the background server cannot acquire the real-time running state of the equipment due to serious disaster damage can be realized, so that a complete and reliable field power equipment disaster damage data acquisition method system is established, on-site emergency personnel are guaranteed to rapidly and accurately acquire the damage condition of the power equipment, and emergency rescue is rapidly carried out.
Preferably, the method for monitoring, sensing and collecting the disaster damage of the power equipment further includes:
determining an operating condition of the electrical equipment based on the real-time operating data and the historical operating data. For example, a difference between the real-time operation data and the historical operation data may be calculated, and when the difference is greater than a preset threshold, it is determined that the operation condition of the power equipment is abnormal. Therefore, clear processing basis can be provided for field emergency processing personnel, and the field processing efficiency of the disaster damage is improved.
Example 2
The embodiment provides a disaster monitoring, sensing and collecting device 20 for power equipment, which comprises an image collecting unit 21, an equipment identification unit 22, a data acquiring unit 23 and a fusion display unit 24. Wherein:
the image acquisition unit 21 is used for acquiring visual information of a power site through a visual detector and generating a plurality of three-dimensional images of the power site; the visual detector comprises a visible light detector, an infrared detector and an ultraviolet detector;
the device identification unit 22 is configured to process the multiple three-dimensional images to determine a device identification corresponding to the power device included in the three-dimensional images;
the data acquisition unit 23 is configured to acquire real-time operation data and historical operation data stored in the server and corresponding to the device identifier;
the fusion display unit 24 is used for displaying the real-time operation data and the historical operation data at corresponding positions in the three-dimensional image.
According to the embodiment, the operation data of the power equipment can be acquired from the server and displayed in the three-dimensional image based on the equipment identifier of the power equipment in the three-dimensional image recognition image, so that on-site emergency treatment personnel can accurately and quickly judge the operation state of the power equipment, and the monitoring efficiency of the power equipment under the disaster condition is improved.
Example 3
The embodiment also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server or a rack server (including an independent server or a server cluster composed of a plurality of servers) capable of executing programs, and the like. The computer device 30 of the present embodiment includes at least, but is not limited to: a memory 31, a processor 32, which may be communicatively coupled to each other via a system bus, as shown in FIG. 3. It is noted that fig. 3 only shows a computer device 30 with components 31-32, but it is understood that not all shown components are required to be implemented, and that more or less components may be implemented instead.
In the present embodiment, the memory 31 (i.e., a readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the storage 31 may be an internal storage unit of the computer device 30, such as a hard disk or a memory of the computer device 30. In other embodiments, the memory 31 may also be an external storage device of the computer device 30, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the computer device 30. Of course, the memory 31 may also include both internal and external storage devices of the computer device 30. In this embodiment, the memory 31 is generally used for storing an operating system and various types of application software installed on the computer device 30, for example, the program code of the acquisition apparatus 20 of the second embodiment, and the like. Further, the memory 31 may also be used to temporarily store various types of data that have been output or are to be output.
Example 4
The present embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., on which a computer program is stored, which when executed by a processor implements corresponding functions. The computer readable storage medium of this embodiment is used to store the disaster monitoring, sensing and collecting device 20 of the electrical power equipment, and when executed by the processor, the method for monitoring, sensing and collecting the disaster of the electrical power equipment according to the first embodiment is implemented.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (10)
1. A disaster monitoring, sensing and collecting method for power equipment is characterized by comprising the following steps:
the method comprises the steps that visual information of a power site is collected through a visual detector, and a plurality of three-dimensional images of the power site are generated; the visual detector comprises a visible light detector, an infrared detector and an ultraviolet detector;
processing the plurality of three-dimensional images to determine a device identifier corresponding to the power device contained in the three-dimensional image;
acquiring real-time operation data and historical operation data which are stored in a server and correspond to the equipment identification;
and displaying the real-time operation data and the historical operation data at corresponding positions in the three-dimensional image.
2. The method according to claim 1, wherein before the step of collecting visual information of the power site by a visual detector and generating a plurality of three-dimensional images of the power site, the method further comprises:
and acquiring the standard point cloud characteristics of each power device in the power field, and storing the mapping relation between the standard point cloud characteristics and the device identification of the corresponding power device.
3. The method according to claim 2, wherein the step of performing image processing on the three-dimensional image to determine a device identifier corresponding to the power device included in the three-dimensional image includes:
preprocessing the three-dimensional image to remove noise;
adjusting the three-dimensional image based on the standard point cloud information so that the visual angle of the three-dimensional image corresponds to the visual angle of the standard point cloud information;
and comparing the point cloud information of the power equipment contained in the three-dimensional image with the stored standard point cloud information to determine the standard point cloud information corresponding to the point cloud information of the power equipment, and acquiring an equipment identifier having a mapping relation with the standard point cloud information.
4. The method according to claim 1, wherein after the step of collecting visual information of the power site by a visual detector and generating a plurality of three-dimensional images of the power site, the method further comprises:
detecting whether continuity conditions are met among the multiple three-dimensional images;
when a continuity condition is not satisfied between the plurality of three-dimensional images, generating, by the vision detector, a supplementary three-dimensional image of the power site such that the continuity condition is satisfied between the supplementary three-dimensional image and the plurality of three-dimensional images.
5. The method for collecting disaster monitoring perception of power equipment according to claim 1, further comprising:
determining an operating condition of the electrical device based on visual features of the electrical device appearing in the three-dimensional image; the visual characteristics include temperature characteristics and representative needle indication characteristics.
6. The method for monitoring, perceiving and collecting the disaster of the power equipment according to claim 1, further comprising:
when the real-time operation data and the historical operation data corresponding to the electric power equipment cannot be acquired through the server, the real-time operation data corresponding to the electric power equipment is acquired in a wireless mode.
7. The method for monitoring, perceiving and collecting the disaster of the power equipment according to claim 1, further comprising:
determining an operating condition of the electrical equipment based on the real-time operating data and the historical operating data.
8. The utility model provides a power equipment's disaster and damage control perception collection system which characterized in that includes:
the image acquisition unit is used for acquiring visual information of a power site through a visual detector and generating a plurality of three-dimensional images of the power site; the visual detector comprises a visible light detector, an infrared detector and an ultraviolet detector;
the device identification unit is used for processing the three-dimensional images to determine a device identification corresponding to the power device contained in the three-dimensional images;
the data acquisition unit is used for acquiring real-time operation data and historical operation data which are stored in a server and correspond to the equipment identification;
and the fusion display unit is used for displaying the real-time operation data and the historical operation data at corresponding positions in the three-dimensional image.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented by the processor when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN113627630A (en) * | 2021-08-23 | 2021-11-09 | 安徽嘉拓信息科技有限公司 | Emergency command auxiliary decision-making system for power grid emergency |
| CN114554152A (en) * | 2022-02-22 | 2022-05-27 | 正泰电气股份有限公司 | Intelligent monitoring method for transformer substation |
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