CN117037088A - Positioning method and system for thermal power plant coal ash transport vehicle based on edge calculation - Google Patents
Positioning method and system for thermal power plant coal ash transport vehicle based on edge calculation Download PDFInfo
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Abstract
The invention relates to the technical field of information identification, in particular to a method and a system for positioning a thermal power plant coal ash transport vehicle based on edge calculation, wherein the method comprises the following steps: s1, calling an annular camera with an infrared thermal imaging function to periodically monitor a vehicle task, S2, building an information channel of a position node on a vehicle transportation specified line, collecting position change monitoring data in real time, S3, clipping and splicing a running route video of a vehicle according to a time axis of the monitoring data to generate a vehicle information table, S4, searching and positioning a suspicious target coal ash transportation vehicle according to the monitoring data, synchronizing vehicle information of the suspicious target coal ash transportation vehicle to the vehicle information table to carry out information matching, S5, after the information has a matching result, analyzing a tire pressure diagram of the target coal ash transportation vehicle, and determining the target vehicle. The invention can realize the rapid positioning of the target coal ash transport vehicle, has simple steps in the positioning process, and is more suitable for positioning in the complex transport environment of the thermal power plant.
Description
Technical Field
The invention relates to the technical field of information identification, in particular to a positioning method of a thermal power plant coal ash transport vehicle based on edge calculation.
Background
Because the coal ash demand of the thermal power plant is very large, hundreds of freight cars can transport the coal ash to and from each other for normal production, but the large number of vehicles directly provides serious challenges for the supervision of the vehicles, and particularly, when the problem that the subsequent vehicles cannot meet the transportation weight requirement and discount the freight rate due to the fact that the transportation weight of the individual coal ash transportation vehicles is increased privately occurs, the supervision personnel can not perform the operation.
Disclosure of Invention
The inventors found through research that: the transportation quantity of the coal ash of the thermal power plant is very large, huge transportation teams are required to be matched to ensure normal transportation, but when the transportation vehicles are more, the phenomenon that part of transportation vehicles privately increase the transportation weight often occurs, the total transportation quantity of the coal ash is certain, so that after the transportation quantity of part of vehicles privately increases the transportation quantity of the coal ash, the subsequent vehicles cannot meet the self transportation weight, and the transportation cost is directly reduced.
The invention aims to provide a positioning method and a system for a thermal power plant coal ash transport vehicle based on edge calculation, which solve the problem that vehicles with increased transport weight cannot be determined rapidly in a thermal power plant coal ash transport scene in the prior art by combining the thought of an edge calculation architecture and the characteristics of the vehicles.
According to one aspect of the invention, a positioning method of a thermal power plant coal ash transport vehicle based on edge calculation is provided, S1, an annular camera with an infrared thermal imaging function is called, the annular camera is installed in a coal ash accumulation factory in a regional arrangement mode, meanwhile, periodic vehicle monitoring tasks are carried out, monitoring data are obtained, and the position point of a transport line is determined according to the monitoring data;
s2, an information channel of a position node on a vehicle transportation specified line is built, and position change monitoring data is collected in real time, wherein the monitoring data is a vehicle dynamic driving video;
s3, splicing a running route video of the vehicle according to the time axis clip of the monitoring data, and generating a vehicle information table according to the running route video of the vehicle, wherein the vehicle information table comprises the type of the vehicle and the position information under the corresponding time axis information;
s4, after knowing that the vehicle positioning requirement is needed, searching and positioning a suspicious target coal ash transport vehicle according to the monitoring data, and synchronizing the vehicle information of the suspicious target coal ash transport vehicle to a vehicle information table for information matching;
s5, after the information has the matching result, analyzing a tire pressure map of the target coal ash transport vehicle based on edge calculation, determining the target vehicle, and feeding back the latest monitoring data of the vehicle to the factory for processing.
In some embodiments, periodically monitoring a vehicle mission, obtaining monitoring data, and determining a transportation line location point based on the monitoring data is implemented as follows:
s11, acquiring a thermal imaging monitoring chart of a vehicle tire through an annular camera with an infrared thermal imaging function, and simultaneously acquiring a monitoring result corresponding to a periodic monitoring task to determine a vehicle driving route, wherein the monitoring period is 10 seconds once;
s12, writing the monitored vehicle driving route into an area map, generating a gridded area route map, synchronously writing all the specified driving routes of the vehicle into the area map, generating a gridded driving route comparison diagram again, and simultaneously calculating the length and the width in each grid unit in the gridded driving route comparison diagram, thereby determining the length of the specified path of the vehicle and the average time length of the highest and the lowest speed running under the length;
s13, positioning suspicious vehicle position points according to the length and the average duration of the specified path;
s14, matching and determining the suspicious vehicle position points with the active vehicle query data information input by the monitoring end user.
In some embodiments, the step of building an information channel of a location node on a vehicle transportation specified line and collecting the location change monitoring data in real time is specifically implemented as follows:
s21, connecting the camera equipment on the vehicle transportation specified line to form a monitoring grid;
s22, monitoring the coal ash transport vehicle based on the monitoring grid to form a dynamic driving video of the vehicle.
In some embodiments, the step of generating the vehicle information table according to the operation route video of the vehicle is specifically implemented as follows:
s31, converting all the monitoring data into an image group containing time period labels;
s32, sequentially reading vehicle images in each image group according to the time period labels, and editing and splicing suspicious vehicle images according to the position point requirements to obtain suspicious vehicle roadmaps;
s33, inputting a suspicious vehicle route map into a pre-trained vehicle image resolution model, and determining the type of the vehicle;
s34, forming a vehicle information table according to the type of the vehicle.
In some embodiments, the resolution targets of the vehicle image resolution model are vehicle body size and vehicle shelf shape.
In some embodiments, after knowing that the vehicle positioning requirement is needed, searching for positioning the suspicious target coal ash transport vehicle according to the monitoring data and synchronizing the vehicle information thereof to the vehicle information table for information matching is specifically implemented as follows:
s41, extracting a time axis and corresponding position points in a vehicle information table according to the type of the vehicle after receiving the suspicious vehicle positioning requirement to obtain time period position change information;
s42, determining a position change sequence according to the time period position change information, and positioning the required suspicious coal ash transport vehicle in the corresponding vehicle route map according to the position change sequence;
s43, matching the positioned suspicious coal ash transportation vehicle with the vehicle information table, and checking whether the suspicious coal ash transportation vehicle requiring positioning is a matched vehicle within the range of the vehicle information table.
In some embodiments, after the information has the matching result, the tire pressure map of the suspicious coal ash transport vehicle is analyzed based on the edge calculation to determine the target vehicle, and then the latest monitoring data of the vehicle is fed back to the factory to perform the specific implementation of the processing steps:
s51, after a matching result is determined, a thermal imaging tire pressure map of the suspicious coal ash transport vehicle is retrieved, wherein the tire thermal imaging pressure map of the transport vehicle is obtained by shooting of an annular camera with an infrared thermal imaging function;
s52, after analyzing the thermal imaging pressure diagram of the tire, judging based on edge calculation and combining with the color shade, and determining the tire as a target vehicle when the color shade is determined by the analysis calculation; the color is light, and suspicion is eliminated;
s53, after the target vehicle is determined, the confirmation information is fed back to the factory part in time for subsequent processing.
According to another aspect of the present invention, there is provided a system comprising:
the monitoring and positioning module is used for periodically monitoring a vehicle task to obtain monitoring data and determining a transportation line position point according to the monitoring data;
the collecting module is used for building an information channel of a position node on a vehicle transportation specified line and collecting position change monitoring data in real time;
the generation module is used for splicing the running route video of the vehicle according to the time axis clip of the monitoring data and generating a vehicle information table according to the running route video of the vehicle;
the information processing module is used for searching and positioning a suspicious target coal ash transport vehicle according to the monitoring data after knowing that the vehicle positioning requirement is needed, and synchronizing the vehicle information of the suspicious target coal ash transport vehicle to a vehicle information table for information matching;
the edge calculation center is used for analyzing the tire pressure map of the target coal ash transport vehicle and determining the target vehicle.
Compared with the prior art, the invention has the following advantages: the method is based on a pre-trained vehicle image resolution model, combines the characteristics of edge calculation and a gridding driving route comparison graph to process suspicious vehicle images, and finally identifies and locates the target vehicle.
According to the advantages, the method has the following beneficial effects: the invention can realize the rapid positioning of the target coal ash transport vehicle, has simple steps in the positioning process, does not need complex procedures, and is more suitable for positioning in complex transport environments of thermal power plants.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a positioning method of some embodiments of the invention;
FIG. 2 is a flow chart of a specific implementation of some embodiments of the invention;
FIG. 3 is a flow chart of a specific implementation of some embodiments of the invention;
FIG. 4 is a flowchart of a specific implementation of some embodiments of the invention;
FIG. 5 is a flowchart of a specific implementation of some embodiments of the invention;
fig. 6 is a flow chart of a specific implementation of some embodiments of the invention.
Description of the embodiments
The embodiment provides a positioning method and a positioning system for a thermal power plant coal ash transport vehicle based on edge calculation, wherein the positioning method and the positioning system for the thermal power plant coal ash transport vehicle based on edge calculation are already in a testing use stage, and are described below with reference to fig. 1-5.
Fig. 1 is a flow chart of a positioning method according to some embodiments of the invention, the method comprising 5 steps.
Firstly, in the step S1, an annular camera with an infrared thermal imaging function is called, the annular camera is installed in a coal ash accumulation factory in an area arrangement mode, meanwhile, periodic vehicle monitoring tasks are carried out, monitoring data are obtained, and position points of a transportation line are determined according to the monitoring data. The annular camera is a traffic intersection annular camera commonly used in the market, and the thermal imaging functional module can be modified and added in advance. The method is characterized in that the method is installed on a coal ash accumulation factory in a regional arrangement mode, the purpose is to monitor in a wider range, and the monitoring dead angle is reduced, wherein in the method, an annular camera is installed in a certain range along a specified transportation line, and the preferable range is to limit the radius by taking the coal ash accumulation factory as a round point and 2 km. The arrangement is such that the soot transport vehicle transports less soot that falls out in this range and a more accurate determination of suspicious vehicles is possible.
In step S11, a thermal imaging monitor chart of the vehicle tire is acquired by an annular camera having an infrared thermal imaging function. It should be noted that the thermal imaging monitoring chart herein is a thermal imaging display chart in the prior art, and has a clear display color demarcation. On the basis of thermal imaging, monitoring results corresponding to periodic monitoring tasks are obtained simultaneously, and a vehicle driving route is determined, wherein the monitoring period is 10 seconds once, the monitoring period is determined according to the problem environment solved by the invention, the monitoring period has no universality, and corresponding adjustment is specifically needed.
In step S12, the monitored vehicle driving route is written into the area map, a gridded area route map is generated, all the vehicle specified driving routes are synchronously written into the area map, a gridded driving route comparison chart is generated again, meanwhile, the length and the width in each grid unit in the gridded driving route comparison chart are calculated, and the length of the vehicle specified route and the average time length of the highest and lowest speed running under the length are determined. The two-time writing process is a graph writing method in the prior art, in order to better meet the actual operation requirement, a mode of combining human and computer is adopted in the implementation, a route is drawn through an operator computer, the route is further overlapped on a regional map, and after the second writing process, the actual driving route and the specified route are displayed on the regional map. The area map is a map of the area obtained by any web search tool such as hundred degrees, a dog search, etc.
After the meshing driving route comparison graph is obtained, calculating the length and width of each cell in the grid cells, calculating the length of a specified path of the vehicle through the length and width and a coordinate system, determining the speed of the vehicle under the specified road section through road section speed limit, forming a standard value, and facilitating subsequent comparison.
In step S13, a suspicious vehicle location point is located according to the length of the prescribed path and the average duration. When the predetermined length and the standard speed are determined, if a large deviation occurs in the running data (vehicle speed, path length) of the vehicle, the vehicle is determined as a suspicious vehicle at the first time, and then the positioning is performed. Here, it should be noted that, in the actual operation of the thermal power plant, since the number of times of pulling the coal ash can be reduced after the coal ash is loaded more by the transportation personnel of the coal ash transportation vehicle, a problem must occur in the running efficiency at this time, and according to the actual statistics, the time of the normal driver is 30 minutes to 40 minutes for one trip, and the suspicious driver can take 50 minutes to 55 minutes for one trip.
In step S14, the suspicious vehicle position points are matched and determined with the active vehicle inquiry data information input by the monitoring end user. When the front-end staff inquires the vehicle, the vehicle data is input, wherein the input comprises a vehicle type, a license plate number, an approach time, an departure time and the like, and after the input, the information is processed, the vehicle information is matched, and whether the vehicle information accords with suspicious vehicle information is judged.
Next, in step S2, an information channel of the position node on the vehicle transportation rule line is built, and position change monitoring data is collected in real time, wherein the monitoring data is a vehicle dynamic driving video. The information channel is built in the simplest local area network connection or wireless network connection mode in this embodiment, and in other environments, a server wired connection or the like may also be adopted.
In the step S21, the camera equipment on the specified vehicle transportation line is connected to form a monitoring grid;
in step S22, the soot transport vehicle is monitored based on the monitoring grid, and a dynamic driving video of the vehicle is formed.
Next, in step S3, a running route video of the vehicle is spliced according to the time axis clip of the monitoring data, and a vehicle information table is generated according to the running route video of the vehicle, wherein the vehicle information table includes the type of the vehicle and the position information under the corresponding time axis information.
In step S31, all the monitoring data are converted into an image group containing a time period index. Since the monitoring data is video data, the video data is converted into an image as in the prior art, and the image data is formed after the conversion is completed, which is not described here.
In step S32, vehicle images in each image group are sequentially read according to the time period marks, suspicious vehicle images are clipped and spliced according to the position point requirements, and a suspicious vehicle route map is obtained.
In step S33, the suspicious vehicle roadmap is input into a pre-trained vehicle image resolution model to determine the vehicle type. The pre-trained vehicle image resolution model is model training performed in a deep learning mode, is an existing method, and only changes training factors into vehicle normal image information.
In step S34, a vehicle information table is formed according to the type of the vehicle, wherein the resolution target of the vehicle image resolution model is the vehicle body size and the vehicle loading shelf shape. When the vehicle is required to be described, the size of the vehicle is divided into 9 meters and 15 meters, and the vehicle loading and unloading frame is open type and van type.
The vehicle information table includes the type, size, and predetermined travel data of the vehicle, including, but not limited to, a predetermined route, a vehicle speed, a round trip time interval, and the like.
Further, in the step S4, after knowing that the vehicle positioning requirement is required, searching and positioning a suspicious target coal ash transport vehicle according to the monitoring data, and synchronizing the vehicle information of the suspicious target coal ash transport vehicle to a vehicle information table for information matching;
in the S41 step, after receiving the suspicious vehicle positioning requirement, extracting a time axis and a corresponding position point in a vehicle information table according to the type of the vehicle to obtain time period position change information;
in the step S42, determining a position change sequence according to the position change information of the time period, and positioning the required suspicious coal ash transport vehicle in the corresponding vehicle route map according to the position change sequence;
in step S43, the positioned suspicious coal ash transportation vehicle is matched with the vehicle information table, and whether the suspicious coal ash transportation vehicle requiring positioning is a matched vehicle in the range of the vehicle information table is checked.
Finally, in step S5, after the information has the matching result, the tire pressure map of the target coal ash transport vehicle is analyzed based on the edge calculation, the target vehicle is determined, and the latest monitoring data of the vehicle is fed back to the factory for processing.
In step S51, after the matching result is determined, a thermal imaging tire pressure map of the suspicious coal ash transport vehicle is retrieved, wherein the tire thermal imaging pressure map of the transport vehicle is obtained by shooting the annular camera with an infrared thermal imaging function;
in step S52, after analyzing the tire thermal imaging pressure map, determining according to the color shade based on the edge calculation, and determining as the target vehicle when the color is dark; the color is light, and suspicion is eliminated. The edge calculation adopted is a conventional edge calculation method for analyzing and processing the image, and is not repeated herein, and is directly used.
In step S53, after the target vehicle is determined, the confirmation information is fed back to the factory part in time for subsequent processing.
In order to better understand the present invention and to improve the adaptability, the present embodiment further provides a system, including: the monitoring and positioning module is used for periodically monitoring a vehicle task to obtain monitoring data, and determining a transportation line position point according to the monitoring data; the collecting module is used for building an information channel of a position node on a vehicle transportation specified line and collecting position change monitoring data in real time; the generation module is used for splicing the running route video of the vehicle according to the time axis clip of the monitoring data, and generating a vehicle information table according to the running route video of the vehicle; and the information processing module is used for searching and positioning the suspicious target coal ash transport vehicle according to the monitoring data after knowing that the vehicle positioning requirement is needed, and synchronizing the vehicle information of the suspicious target coal ash transport vehicle to the vehicle information table to carry out information matching. The edge computing center is used for analyzing the tire pressure map of the target coal ash transport vehicle to determine the target vehicle.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (8)
1. The positioning method of the thermal power plant coal ash transport vehicle based on edge calculation is characterized in that,
s1, calling an annular camera with an infrared thermal imaging function, installing the annular camera in a coal ash accumulation factory in an area arrangement mode, periodically monitoring a vehicle task, acquiring monitoring data, and determining a transportation line position point according to the monitoring data;
s2, an information channel of a position node on a vehicle transportation specified line is built, and position change monitoring data is collected in real time, wherein the monitoring data is a vehicle dynamic driving video;
s3, splicing a running route video of the vehicle according to the time axis clip of the monitoring data, and generating a vehicle information table according to the running route video of the vehicle, wherein the vehicle information table comprises the type of the vehicle and the position information under the corresponding time axis information;
s4, after knowing that the vehicle positioning requirement is needed, searching and positioning a suspicious target coal ash transport vehicle according to the monitoring data, and synchronizing the vehicle information of the suspicious target coal ash transport vehicle to a vehicle information table for information matching;
s5, after the information has the matching result, analyzing a tire pressure map of the target coal ash transport vehicle based on edge calculation, determining the target vehicle, and feeding back the latest monitoring data of the vehicle to the factory for processing.
2. The positioning method according to claim 1, wherein the steps of periodically monitoring a vehicle task, acquiring monitoring data, and determining a transportation route location point based on the monitoring data are specifically implemented as:
s11, acquiring a thermal imaging monitoring chart of a vehicle tire through an annular camera with an infrared thermal imaging function, and simultaneously acquiring a monitoring result corresponding to a periodic monitoring task to determine a vehicle driving route, wherein the monitoring period is 10 seconds once;
s12, writing the monitored vehicle driving route into an area map, generating a gridded area route map, synchronously writing all the specified driving routes of the vehicle into the area map, generating a gridded driving route comparison diagram again, and simultaneously calculating the length and the width in each grid unit in the gridded driving route comparison diagram, thereby determining the length of the specified path of the vehicle and the average time length of the highest and the lowest speed running under the length;
s13, positioning suspicious vehicle position points according to the length and the average duration of the specified path;
s14, matching and determining the suspicious vehicle position points with the active vehicle query data information input by the monitoring end user.
3. The positioning method according to claim 1, wherein the step of building an information channel of a location node on a specified line of transportation of the vehicle and collecting the location change monitoring data in real time is implemented as follows:
s21, connecting the camera equipment on the vehicle transportation specified line to form a monitoring grid;
s22, monitoring the coal ash transport vehicle based on the monitoring grid to form a dynamic driving video of the vehicle.
4. The positioning method according to claim 1, wherein the step of splicing the operation route video of the vehicle from the time axis clip of the monitoring data and generating the vehicle information table from the operation route video of the vehicle is specifically implemented as:
s31, converting all the monitoring data into an image group containing time period labels;
s32, sequentially reading vehicle images in each image group according to the time period labels, and editing and splicing suspicious vehicle images according to the position point requirements to obtain suspicious vehicle roadmaps;
s33, inputting a suspicious vehicle route map into a pre-trained vehicle image resolution model, and determining the type of the vehicle;
s34, forming a vehicle information table according to the type of the vehicle.
5. The method for positioning a thermal power plant soot transport vehicle based on edge calculation according to claim 4, wherein the resolution targets of the vehicle image resolution model are a vehicle body size and a vehicle loading rack shape.
6. The positioning method according to claim 1, wherein after knowing that a vehicle positioning requirement is required, the step of searching for a suspicious target coal ash transport vehicle according to the monitoring data and synchronizing the vehicle information thereof to a vehicle information table to perform information matching is specifically implemented as follows:
s41, extracting a time axis and corresponding position points in a vehicle information table according to the type of the vehicle after receiving the suspicious vehicle positioning requirement to obtain time period position change information;
s42, determining a position change sequence according to the time period position change information, and positioning the required suspicious coal ash transport vehicle in the corresponding vehicle route map according to the position change sequence;
s43, matching the positioned suspicious coal ash transportation vehicle with the vehicle information table, and checking whether the suspicious coal ash transportation vehicle requiring positioning is a matched vehicle within the range of the vehicle information table.
7. The positioning method according to claim 1, wherein after the information has the matching result, the tire pressure map of the suspicious coal ash transport vehicle is analyzed based on the edge calculation to determine the target vehicle, and the vehicle latest monitoring data is fed back to the factory for processing, which is specifically implemented as:
s51, after a matching result is determined, a thermal imaging tire pressure map of the suspicious coal ash transport vehicle is retrieved, wherein the tire thermal imaging pressure map of the transport vehicle is obtained by shooting of an annular camera with an infrared thermal imaging function;
s52, after analyzing the thermal imaging pressure diagram of the tire, judging based on edge calculation and combining with the color shade, and determining the tire as a target vehicle when the color shade is determined by the analysis calculation; the color is light, and suspicion is eliminated;
s53, after the target vehicle is determined, the confirmation information is fed back to the factory part in time for subsequent processing.
8. A system, comprising:
the monitoring and positioning module is used for periodically monitoring a vehicle task to obtain monitoring data and determining a transportation line position point according to the monitoring data;
the collecting module is used for building an information channel of a position node on a vehicle transportation specified line and collecting position change monitoring data in real time;
the generation module is used for splicing the running route video of the vehicle according to the time axis clip of the monitoring data and generating a vehicle information table according to the running route video of the vehicle;
the information processing module is used for searching and positioning a suspicious target coal ash transport vehicle according to the monitoring data after knowing that the vehicle positioning requirement is needed, and synchronizing the vehicle information of the suspicious target coal ash transport vehicle to a vehicle information table for information matching;
the edge calculation center is used for analyzing the tire pressure map of the target coal ash transport vehicle and determining the target vehicle.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117818262A (en) * | 2024-02-28 | 2024-04-05 | 长春汽车工业高等专科学校 | Automobile state extraction method and system based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117818262A (en) * | 2024-02-28 | 2024-04-05 | 长春汽车工业高等专科学校 | Automobile state extraction method and system based on big data |
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