CN117115714A - Power grid infrastructure safety management method and device, electronic equipment and storage medium - Google Patents
Power grid infrastructure safety management method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN117115714A CN117115714A CN202311129559.XA CN202311129559A CN117115714A CN 117115714 A CN117115714 A CN 117115714A CN 202311129559 A CN202311129559 A CN 202311129559A CN 117115714 A CN117115714 A CN 117115714A
- Authority
- CN
- China
- Prior art keywords
- target
- power grid
- managed
- grid infrastructure
- target detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 56
- 238000001514 detection method Methods 0.000 claims abstract description 106
- 238000012544 monitoring process Methods 0.000 claims abstract description 75
- 238000000034 method Methods 0.000 claims abstract description 42
- 238000004590 computer program Methods 0.000 claims description 16
- 238000012549 training Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000013527 convolutional neural network Methods 0.000 description 5
- 238000010295 mobile communication Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000000605 extraction Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30241—Trajectory
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/07—Target detection
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Multimedia (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a power grid infrastructure safety management method, a device, electronic equipment and a storage medium. The method comprises the following steps: acquiring monitoring video information of a power grid infrastructure area to be managed; performing target detection on the monitoring video information of the power grid infrastructure area to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed; under the condition that the target detection result meets the preset condition, track information of the target object in the target detection result is established, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold; and displaying the track information of the target object in the target detection result. By the technical scheme, real-time track tracking of the target object in the power grid infrastructure area is realized, track information of the target object is displayed, the target object is remotely managed by power supply grid infrastructure safety management personnel, and safety of power grid infrastructure safety management is improved.
Description
Technical Field
The present invention relates to the field of power grid management technologies, and in particular, to a method and apparatus for power grid infrastructure safety management, an electronic device, and a storage medium.
Background
Along with the continuous expansion of the construction scale of the power grid engineering, the number of engineering construction is increased, and the safety supervision of the power grid infrastructure is more important.
In the process of implementing the present invention, the inventor finds that at least the following technical problems exist in the prior art: the existing power grid infrastructure safety management scheme cannot track and monitor a target object in real time, and has the problem of poor monitoring safety.
Disclosure of Invention
The invention provides a method, a device, electronic equipment and a storage medium for power grid infrastructure safety management, which are used for tracking a real-time track of a target object in a power grid infrastructure area and solving the problem of poor power grid infrastructure supervision safety.
According to an aspect of the present invention, there is provided a power grid infrastructure safety management method, including:
acquiring monitoring video information of a power grid infrastructure area to be managed;
performing target detection on the monitoring video information of the power grid infrastructure area to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed;
under the condition that the target detection result meets the preset condition, track information of a target object in the target detection result is established, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold;
and displaying the track information of the target object in the target detection result.
According to another aspect of the present invention, there is provided a power grid infrastructure safety management device, comprising:
the foundation monitoring acquisition module is used for acquiring monitoring video information of a power grid foundation area to be managed;
the building target detection module is used for carrying out target detection on the monitoring video information of the power grid building region to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid building region to be managed;
the target track establishing module is used for establishing track information of the target object in the target detection result under the condition that the target detection result meets a preset condition, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold;
and the target track display module is used for displaying track information of the target object in the target detection result.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor;
and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor, so that the at least one processor can execute the grid infrastructure safety management method according to any embodiment of the 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 the grid-infrastructure safety management method according to any of the embodiments of the present invention when executed.
According to the technical scheme, the target detection is carried out on the monitoring video information of the power grid infrastructure area to be managed to obtain the target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed, automatic detection of the target object is achieved, track information of the target object in the target detection result is built under the condition that the offset distance between the target objects in two adjacent frames of images in the monitoring video information of the power grid infrastructure area is smaller than the preset distance threshold value, real-time track tracking of the target object in the power grid infrastructure area is achieved, track information of the target object is displayed, tracking and management are carried out on the target object by power grid infrastructure safety manager remotely, and safety of power grid infrastructure management is improved.
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 schematic structural diagram of a power grid infrastructure safety management system according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for managing power grid infrastructure safety according to a first embodiment of the present invention;
fig. 3 is a flowchart of a method for managing power grid infrastructure safety according to a second embodiment of the present invention;
fig. 4 is a flowchart of a method for managing power grid infrastructure safety according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a power grid infrastructure safety management device according to a fourth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device implementing a method for power grid infrastructure safety management 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.
Before describing the specific embodiment, an application scenario of the power grid infrastructure safety management method is described. Fig. 1 is a schematic structural diagram of a power grid infrastructure safety management system provided by an embodiment of the present invention, and specifically, a power grid infrastructure safety management method may be applied to a power grid infrastructure safety management system, where the power grid infrastructure safety management system includes, but is not limited to, a monitoring module, an identification module, a label tracking module, a database, an update management module, a display device, etc., where the monitoring module is configured to obtain monitoring video information of a power grid infrastructure area to be managed; the identification module is used for identifying a target object in a power grid infrastructure area to be managed; the marking and tracking module is used for marking and tracking the target object; the database is used for storing construction data of a power grid infrastructure area, dispatch information of a target object and the like; the updating management module is used for updating the data in the database; and the display device is used for displaying power grid infrastructure supervision data, such as track information of the target object and the like.
Example 1
Fig. 2 is a flowchart of a method for power grid infrastructure safety management according to an embodiment of the present invention, where the method may be performed by a power grid infrastructure safety management device, and the power grid infrastructure safety management device may be implemented in hardware and/or software, and the power grid infrastructure safety management device may be configured in a terminal and/or a server. As shown in fig. 2, the method includes:
s110, acquiring monitoring video information of a power grid infrastructure area to be managed.
In this embodiment, the monitoring video information refers to a video acquired by a video acquisition device disposed in a power grid infrastructure area.
And S120, performing target detection on the monitoring video information of the power grid infrastructure area to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed.
In this embodiment, the target detection result may include a target class and/or a target position, where the target class refers to an identity class of the target object, for example, the identity class may be a worker, a supervisory engineer, etc., and the target position refers to a position where the target object is located in a power grid infrastructure area.
Specifically, the target detection can be performed on the monitoring video information of the power grid infrastructure area to be managed through a pre-trained target detection model which is completed through pre-training, or the target detection can be performed on the monitoring video information of the power grid infrastructure area to be managed through a classifier, which is not limited herein.
In some optional embodiments, the resolution of each frame of image in the monitoring video information may be adjusted, so that the resolution of each frame of image is uniform, and each frame of image after the resolution adjustment may be further divided into a plurality of areas, and target detection may be performed on each area respectively.
And S130, under the condition that the target detection result meets the preset condition, track information of the target object in the target detection result is established, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold value.
The track information of the target object may be stored in a linked list.
And S140, displaying the track information of the target object in the target detection result.
Under the condition that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold, the same target object is indicated to move, the track information of the target object can be established, the target object is tracked, the track information of the target object in a target detection result is displayed, tracking and management of the target object are carried out remotely by a power supply network infrastructure safety manager, and the safety of power supply network infrastructure management is improved.
For example, two adjacent frames of images can be divided into a previous frame of image and a next frame of image, for each target object detected in the previous frame of image, the offset distance between each target object and each target detected in the next frame of image is obtained, the minimum offset distance is compared with a preset distance threshold, and if the minimum offset distance is smaller than or equal to the preset distance threshold, track information of the target object corresponding to the minimum offset distance is established. If the minimum offset distance is greater than the preset distance threshold, the target object corresponding to the minimum offset distance in the previous frame of the video is not detected in the next frame of the video, and the coordinate of the target object corresponding to the minimum offset distance in the next frame of the video is taken as the initial coordinate point of the track information of the target object.
In some optional embodiments, after obtaining the target detection result corresponding to the monitoring video information of the grid infrastructure area to be managed, the method further includes: if the detected target object in the target detection result is not detected again within the preset time range, determining that the target object leaves the power grid infrastructure area to be managed, and stopping updating the track information of the target object.
According to the technical scheme, the target detection is carried out on the monitoring video information of the power grid infrastructure area to be managed to obtain the target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed, automatic detection of the target object is achieved, track information of the target object in the target detection result is built under the condition that the offset distance between the target objects in two adjacent frames of images in the monitoring video information of the power grid infrastructure area is smaller than the preset distance threshold value, real-time track tracking of the target object in the power grid infrastructure area is achieved, track information of the target object is displayed, tracking and management are carried out on the target object by power grid infrastructure safety manager remotely, and safety of power grid infrastructure management is improved.
Example two
Fig. 3 is a flowchart of a method for power grid infrastructure safety management according to a second embodiment of the present invention, where the method of this embodiment may be combined with each of the alternatives in the method for power grid infrastructure safety management provided in the foregoing embodiment. The power grid infrastructure safety management method provided by the embodiment is further optimized. Optionally, the performing target detection on the monitoring video information of the grid infrastructure area to be managed to obtain a target detection result corresponding to the monitoring video information of the grid infrastructure area to be managed, where the target detection result includes: and inputting the monitoring video information of the power grid infrastructure area to be managed into a target detection model which is trained in advance, and obtaining a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed.
As shown in fig. 3, the method includes:
s210, acquiring monitoring video information of a power grid infrastructure area to be managed.
S220, inputting the monitoring video information of the power grid infrastructure area to be managed into a target detection model which is trained in advance, and obtaining a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed.
The target detection model is obtained by training an initial target detection model by adopting a plurality of groups of training sample data, the training sample data comprises a sample image and a sample label corresponding to the sample image, the sample label is used for representing a target class of a target object and a target position of the target object in the sample image, and the target class of the target object comprises staff and/or supervision engineers in a power grid infrastructure area to be managed.
The initial target detection model may be a convolutional neural network, specifically, a plurality of sample images may be input into the initial convolutional neural network, the initial convolutional neural network performs feature extraction on each sample image to obtain image features corresponding to the sample images, further, a predicted target class of a target object and a predicted target position of the target object are obtained by prediction based on the image features corresponding to the sample images, model loss is determined according to the predicted target class of the target object and the predicted target position of the target object and a sample label, and further, initial convolutional neural network parameters are adjusted based on the model loss until model training stop conditions are met, and a trained target detection model is obtained.
It should be noted that, compared with the traditional recognition algorithm, the convolutional neural network simplifies the feature extraction and data reconstruction processes, and reduces the complexity of the target detection model.
And S230, under the condition that the target detection result meets the preset condition, track information of the target object in the target detection result is established, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold value.
S240, displaying the track information of the target object in the target detection result.
Optionally, after establishing the track information of the moving object in the object detection result, the method further includes: and extracting characteristics of track information of the target object in the target detection result to obtain the advancing direction of the target object and/or the advancing speed of the target object.
It should be noted that, after the traveling direction of the target object and/or the traveling speed of the target object are obtained, the motion track of the target object may be predicted, so that the power supply network infrastructure safety manager may remotely track and manage the target object.
In some alternative embodiments, the target object may carry a mobile communication device to receive the infrastructure guidance data of the power grid infrastructure area through the mobile communication device, where the mobile communication device may be a mobile phone, a tablet computer, or the like, and is not limited herein.
In some alternative embodiments, the video operating device may be communicatively coupled to the mobile communication device, and the grid infrastructure security manager may send infrastructure guidance data to the mobile communication device via the video operating device.
According to the technical scheme, the target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed is obtained by inputting the monitoring video information of the power grid infrastructure area to be managed into the target detection model which is trained in advance, so that the accurate detection of the target object is realized.
Example III
Fig. 4 is a flowchart of a method for power grid infrastructure safety management according to a third embodiment of the present invention, where the method of this embodiment may be combined with each of the alternatives in the method for power grid infrastructure safety management provided in the foregoing embodiment. The power grid infrastructure safety management method provided by the embodiment is further optimized. Optionally, the method further comprises: collecting biological characteristics of personnel in the power grid infrastructure area to be managed; and identifying the biological characteristics of the personnel in the power grid infrastructure area to be managed according to the biological characteristics corresponding to the pre-recorded target object, and obtaining a target identification result corresponding to the biological characteristics of the personnel in the power grid infrastructure area to be managed.
As shown in fig. 4, the method includes:
s310, acquiring monitoring video information of a power grid infrastructure area to be managed.
And S320, performing target detection on the monitoring video information of the power grid infrastructure area to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed.
S330, under the condition that the target detection result meets the preset condition, track information of the target object in the target detection result is established, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold.
S340, displaying the track information of the target object in the target detection result.
S350, collecting biological characteristics of personnel in the power grid infrastructure area to be managed.
Wherein the biometric feature comprises at least one of: the face features, iris features, fingerprint features, and voiceprint features are not particularly limited herein.
And S360, identifying the biological characteristics of the personnel in the power grid infrastructure area to be managed according to the biological characteristics corresponding to the pre-recorded target object, and obtaining a target identification result corresponding to the biological characteristics of the personnel in the power grid infrastructure area to be managed.
In this embodiment, the biological characteristics corresponding to the target object may be input in advance, so that the collected biological characteristics of the personnel in the power grid infrastructure area to be managed are matched in the biological characteristics corresponding to the target object, if the biological characteristics are matched with the biological characteristics, the identity of the current target object is determined, and if the biological characteristics are not matched with the biological characteristics, an identity recognition failure prompt is generated.
In some embodiments, the biological characteristics of the personnel in the power grid infrastructure area to be managed are identified, and meanwhile, the environment where the personnel in the power grid infrastructure area to be managed is located is identified, so that the dual verification of the identity and the environment is realized, the personnel can enter the corresponding power grid infrastructure area, and the verification reliability is improved.
According to the technical scheme, the biological characteristics of the personnel in the power grid infrastructure area to be managed are collected, and then the biological characteristics of the personnel in the power grid infrastructure area to be managed are identified according to the biological characteristics corresponding to the pre-recorded target objects, so that the target identification result corresponding to the biological characteristics of the personnel in the power grid infrastructure area to be managed is obtained, and the accurate identification of the target objects is realized.
Example IV
Fig. 5 is a schematic structural diagram of a power grid infrastructure safety management device according to a fourth embodiment of the present invention. As shown in fig. 5, the apparatus includes:
the infrastructure monitoring acquisition module 410 is configured to acquire monitoring video information of a power grid infrastructure area to be managed;
the infrastructure target detection module 420 is configured to perform target detection on the monitoring video information of the grid infrastructure area to be managed, so as to obtain a target detection result corresponding to the monitoring video information of the grid infrastructure area to be managed;
the target track establishing module 430 is configured to establish track information of a target object in the target detection result when the target detection result meets a preset condition, where the preset condition is that an offset distance between target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold;
and the target track display module 440 is configured to display track information of the target object in the target detection result.
According to the technical scheme, the target detection is carried out on the monitoring video information of the power grid infrastructure area to be managed to obtain the target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed, automatic detection of the target object is achieved, track information of the target object in the target detection result is built under the condition that the offset distance between the target objects in two adjacent frames of images in the monitoring video information of the power grid infrastructure area is smaller than the preset distance threshold value, real-time track tracking of the target object in the power grid infrastructure area is achieved, track information of the target object is displayed, tracking and management are carried out on the target object by power grid infrastructure safety manager remotely, and safety of power grid infrastructure management is improved.
In some alternative embodiments, the build object detection module 420 includes:
the detection model prediction unit is used for inputting the monitoring video information of the power grid infrastructure area to be managed into a target detection model which is trained in advance, and obtaining a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed.
In some optional embodiments, the target detection model is obtained by training an initial target detection model with multiple sets of training sample data, where the training sample data includes a sample image and a sample label corresponding to the sample image, and the sample label is used to characterize a target class of a target object in the sample image and a target position of the target object, and the target class of the target object includes a staff and/or a supervision engineer in a power grid infrastructure area to be managed.
In some alternative embodiments, the grid infrastructure safety management device further comprises:
the biological characteristic acquisition module is used for acquiring biological characteristics of personnel in the power grid infrastructure area to be managed;
and the biological characteristic recognition module is used for recognizing the biological characteristics of the personnel in the power grid infrastructure area to be managed according to the biological characteristics corresponding to the pre-recorded target object, and obtaining a target recognition result corresponding to the biological characteristics of the personnel in the power grid infrastructure area to be managed.
In some alternative embodiments, the biometric feature comprises at least one of: face features, iris features, fingerprint features, voiceprint features.
In some alternative embodiments, the grid infrastructure safety management device further comprises:
and the target position judging module is used for stopping updating the track information of the target object if the target object detected in the target detection result is not detected again within the preset time range.
In some alternative embodiments, the grid infrastructure safety management device further comprises:
and the track feature extraction module is used for carrying out feature extraction on track information of the target object in the target detection result to obtain the advancing direction of the target object and/or the advancing speed of the target object.
The power grid infrastructure safety management device provided by the embodiment of the invention can execute the power grid infrastructure safety management method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example five
Fig. 6 shows a schematic diagram of the structure 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 assistants, cellular telephones, smartphones, wearable devices (e.g., helmets, eyeglasses, 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. 6, 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 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 a grid infrastructure safety management method, which includes:
acquiring monitoring video information of a power grid infrastructure area to be managed;
performing target detection on the monitoring video information of the power grid infrastructure area to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed;
under the condition that the target detection result meets the preset condition, track information of a target object in the target detection result is established, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold;
and displaying the track information of the target object in the target detection result.
In some embodiments, the grid-infrastructure safety management method 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 RAM 13 and executed by processor 11, one or more of the steps of the grid-infrastructure safety management method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the grid-infrastructure safety management method in any other suitable way (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), complex 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. The utility model provides a power grid infrastructure safety management method which is characterized by comprising the following steps:
acquiring monitoring video information of a power grid infrastructure area to be managed;
performing target detection on the monitoring video information of the power grid infrastructure area to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed;
under the condition that the target detection result meets the preset condition, track information of a target object in the target detection result is established, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold;
and displaying the track information of the target object in the target detection result.
2. The method of claim 1, wherein the performing object detection on the monitoring video information of the grid-infrastructure area to be managed to obtain an object detection result corresponding to the monitoring video information of the grid-infrastructure area to be managed includes:
and inputting the monitoring video information of the power grid infrastructure area to be managed into a target detection model which is trained in advance, and obtaining a target detection result corresponding to the monitoring video information of the power grid infrastructure area to be managed.
3. The method according to claim 2, wherein the target detection model is obtained by training an initial target detection model with a plurality of sets of training sample data, the training sample data includes a sample image and a sample label corresponding to the sample image, the sample label is used for representing a target class of a target object and a target position of the target object in the sample image, and the target class of the target object includes staff and/or a supervision engineer in a power grid infrastructure area to be managed.
4. A method according to any one of claims 1-3, characterized in that the method further comprises:
collecting biological characteristics of personnel in the power grid infrastructure area to be managed;
and identifying the biological characteristics of the personnel in the power grid infrastructure area to be managed according to the biological characteristics corresponding to the pre-recorded target object, and obtaining a target identification result corresponding to the biological characteristics of the personnel in the power grid infrastructure area to be managed.
5. The method of claim 4, wherein the biometric features comprise at least one of: face features, iris features, fingerprint features, voiceprint features.
6. The method according to any one of claims 1 to 5, further comprising, after obtaining a target detection result corresponding to the monitoring video information of the grid-infrastructure area to be managed:
and if the detected target object in the target detection result is not detected again within the preset time range, stopping updating the track information of the target object.
7. The method according to any one of claims 1 to 5, further comprising, after establishing the trajectory information of the moving object in the object detection result:
and extracting characteristics of track information of the target object in the target detection result to obtain the advancing direction of the target object and/or the advancing speed of the target object.
8. A power grid infrastructure safety management device, comprising:
the foundation monitoring acquisition module is used for acquiring monitoring video information of a power grid foundation area to be managed;
the building target detection module is used for carrying out target detection on the monitoring video information of the power grid building region to be managed to obtain a target detection result corresponding to the monitoring video information of the power grid building region to be managed;
the target track establishing module is used for establishing track information of the target object in the target detection result under the condition that the target detection result meets a preset condition, wherein the preset condition is that the offset distance between the target objects in two adjacent frames of images in the monitoring video information is smaller than a preset distance threshold;
and the target track display module is used for displaying track information of the target object in the target detection result.
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 the grid-infrastructure safety management method of any 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 implement the grid infrastructure safety management method of any of claims 1-7 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311129559.XA CN117115714A (en) | 2023-08-31 | 2023-08-31 | Power grid infrastructure safety management method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311129559.XA CN117115714A (en) | 2023-08-31 | 2023-08-31 | Power grid infrastructure safety management method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117115714A true CN117115714A (en) | 2023-11-24 |
Family
ID=88808963
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311129559.XA Pending CN117115714A (en) | 2023-08-31 | 2023-08-31 | Power grid infrastructure safety management method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117115714A (en) |
-
2023
- 2023-08-31 CN CN202311129559.XA patent/CN117115714A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113205037B (en) | Event detection method, event detection device, electronic equipment and readable storage medium | |
| CN113657269A (en) | Training method and device for face recognition model and computer program product | |
| US20230013170A1 (en) | Method and apparatus for detecting jitter in video, electronic device, and storage medium | |
| CN113627361B (en) | Training method and device for face recognition model and computer program product | |
| CN115346171A (en) | Power transmission line monitoring method, device, equipment and storage medium | |
| CN112989987B (en) | Method, apparatus, device and storage medium for identifying crowd behavior | |
| CN113378836A (en) | Image recognition method, apparatus, device, medium, and program product | |
| CN113554280A (en) | Training method, device, equipment and storage medium for power grid system scheduling model | |
| CN115033732B (en) | Spatiotemporal trajectory association method and device, electronic equipment and storage medium | |
| CN117115714A (en) | Power grid infrastructure safety management method and device, electronic equipment and storage medium | |
| CN115641360A (en) | Battery detection method and device based on artificial intelligence and electronic equipment | |
| CN114973081A (en) | High-altitude parabolic detection method and device, electronic equipment and storage medium | |
| CN114407024A (en) | Position leading method, device, robot and storage medium | |
| CN115116130A (en) | Call action recognition method, device, equipment and storage medium | |
| CN116186549B (en) | Model training method, device, equipment and medium | |
| CN117877100B (en) | Behavior mode determining method and device, electronic equipment and storage medium | |
| CN113360688B (en) | Method, device and system for constructing information base | |
| CN117808848B (en) | Identification tracking method and device, electronic equipment and storage medium | |
| CN117475367B (en) | Sewage image processing method and system based on multi-rule coordination | |
| CN116189028B (en) | Image recognition method, device, electronic equipment and storage medium | |
| US20220358929A1 (en) | Voice activity detection method and apparatus, electronic device and storage medium | |
| CN117197751A (en) | Fall behavior identification method, device, equipment and storage medium | |
| CN118070188A (en) | Intelligent diagnosis method for turnout switching equipment | |
| CN117746515A (en) | Training method, detection method, device, equipment and medium for detection model | |
| CN118134880A (en) | Foreign matter detection method, device, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |