Pipeline laying planning method and device, electronic equipment and storage medium

Abstract

The embodiments of the present application provide a pipeline laying planning method and device, electronic equipment and storage medium, which belong to the technical field of integrated pipeline planning. The method includes: obtaining the historical usage of the target resource in the target laying area; dividing the target road in the target laying area into regions to obtain multiple candidate laying areas; obtaining traffic flow data and road area attribute data on each candidate laying area; calculating the pipeline pressure according to the traffic flow data and road area attribute data to obtain the pipeline pressure threshold; determining the number of pipelines of the target pipeline according to the historical usage and the pipeline specifications of the target resource; if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate laying area is used as the target laying area; pipeline planning is performed according to the target laying area and the number of pipelines to obtain a pipeline laying planning scheme. The embodiments of the present application can accurately plan pipelines to ensure the safety of pipelines.

Description

Technical Field

[0001] The present application relates to the technical field of integrated pipeline planning, and in particular to a pipeline laying planning method and device, electronic equipment and storage medium. Background Art

[0002] High-density narrow road areas are areas with highly concentrated population, space, production and consumption materials, and narrow roads. Due to the dense population activities in these areas, the demand for pipeline facilities such as water, electricity, gas, and communications is very high. In order to meet this high demand, a large number of pipelines need to be buried underground to ensure an adequate supply of resources. In the traditional high-density narrow road pipeline laying, the pipeline is laid directly under the road. Due to the narrow road and dense population activities, the pipeline is subjected to excessive pressure and ruptures. Therefore, for high-density narrow road areas, how to accurately plan the pipeline to ensure the safety of the pipeline has become an urgent problem to be solved. Summary of the invention

[0003] The main purpose of the embodiments of the present application is to propose a pipeline laying planning method and device, electronic equipment and storage medium, aiming to accurately plan the pipeline to ensure the safety of the pipeline.

[0004] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present application proposes a pipeline laying planning method, the method comprising:

[0005] Obtain the historical usage of target resources in the target laying area;

[0006] Dividing the target road in the target paving area into regions to obtain a plurality of candidate paving regions;

[0007] Acquire traffic flow data and road area attribute data on each of the candidate paving areas;

[0008] Calculate pipeline pressure according to the traffic flow data and the road area attribute data to obtain a pipeline pressure threshold;

[0009] Determining the number of pipes of the target pipe according to the historical usage and the pipe specification of the target resource; wherein the target pipe is used to transmit the target resource;

[0010] If the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate laying area is used as the target laying area;

[0011] Pipeline planning is performed according to the target laying area and the number of pipelines to obtain a pipeline laying planning scheme.

[0012] In some embodiments, the target road in the target paving area is divided into regions to obtain a plurality of candidate paving regions, including:

[0013] Acquire an image corresponding to the target road from a preset map to obtain a target road image;

[0014] Performing road line detection on the target road image to obtain a plurality of road lines;

[0015] The area between every two adjacent road lines is taken as the candidate paving area, and a plurality of the candidate paving areas are obtained.

[0016] In some embodiments, the performing road line detection on the target road image to obtain a plurality of road lines includes:

[0017] Acquire a grayscale image of the target road image, and perform denoising on the grayscale image to obtain a target detection image;

[0018] Performing edge detection on the target detection image to obtain an edge detection image;

[0019] Performing Hough transform on the edge detection image to obtain multiple candidate detection lines;

[0020] The candidate detection lines are screened according to a preset angle threshold and a preset distance threshold to obtain a plurality of the road lines.

[0021] In some embodiments, the traffic flow data includes vehicle flow data, vehicle type data, and pedestrian flow data; the road area attribute data includes road material and road thickness; and the pipeline pressure calculation is performed based on the traffic flow data and the road area attribute data to obtain the pipeline pressure threshold, including:

[0022] Calculating the vehicle weight according to the vehicle flow data, the vehicle type data and the corresponding preset vehicle type weight to obtain a preset vehicle pressure value per unit time;

[0023] Calculate the crowd weight according to the crowd flow data and the corresponding preset crowd weight to obtain the crowd pressure value per unit time;

[0024] Calculate the road weight according to the road material and the road thickness to obtain a road pressure value;

[0025] The pipeline pressure threshold value is obtained by performing aggregate calculation based on the road pressure value, the pedestrian pressure value and the vehicle pressure value.

[0026] In some embodiments, the step of obtaining traffic flow data on each of the candidate paving areas includes:

[0027] Collecting traffic video data of the target road within a preset periodic interval;

[0028] Performing target detection according to the traffic video data to obtain multiple target detection objects;

[0029] Statistical processing is performed on the multiple target detection objects to obtain the traffic flow data.

[0030] In some embodiments, target detection is performed based on the traffic video data to obtain a plurality of target detection objects;

[0031] Performing object segmentation on the traffic video data to obtain a plurality of candidate detection objects;

[0032] Object classification is performed on the plurality of candidate detection objects to obtain a plurality of candidate detection categories, and the plurality of candidate detection categories and the corresponding candidate detection objects are used as the target detection objects.

[0033] In some embodiments, determining the number of pipelines of the target pipeline according to the historical usage and the pipeline specification of the target resource includes:

[0034] Obtaining pipeline flow rate of the pipeline specification;

[0035] The ratio between the historical usage and the pipeline flow is obtained to obtain the pipeline quantity.

[0036] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present application provides a pipeline laying planning device, the device comprising:

[0037] A first acquisition module is used to acquire the historical usage of the target resource in the target paving area;

[0038] A division module, used for dividing the target road in the target paving area into regions to obtain a plurality of candidate paving regions;

[0039] A second acquisition module is used to acquire traffic flow data and road area attribute data on each candidate paving area;

[0040] A calculation module, used to calculate the pipeline pressure according to the traffic flow data and the road area attribute data to obtain a pipeline pressure threshold;

[0041] A determination module, configured to determine the number of pipes of a target pipe according to the historical usage and the pipe specification of the target resource; wherein the target pipe is used to transmit the target resource;

[0042] A comparison module, configured to use the candidate laying area as the target laying area if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold;

[0043] The planning module is used to perform pipeline planning according to the target laying area and the number of pipelines to obtain a pipeline laying planning solution.

[0044] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in the first aspect is implemented.

[0045] To achieve the above-mentioned purpose, the fourth aspect of an embodiment of the present application proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0046] The present application proposes a pipeline laying planning method and device, electronic device and storage medium, which obtains the historical usage of the target resource in the target laying area, divides the target road in the target laying area into regions, obtains multiple candidate laying areas, then obtains the traffic flow data and road area attribute data on each candidate laying area, and calculates the pipeline pressure according to the traffic flow data and road area attribute data to obtain the pipeline pressure threshold; determines the number of pipelines of the target pipeline according to the historical usage and the pipeline specifications of the target resource, so as to ensure that the number of laid pipelines can meet the resource demand of the target laying area for the target resource; further, if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate laying area is used as the target laying area to ensure that the pipeline will not rupture due to excessive pressure after being laid in the target laying area; finally, the pipeline is planned according to the target laying area and the number of pipelines, and a pipeline laying planning scheme that can ensure that the resource demand for the target resource can be met and the safety of the pipeline is ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flow chart of a pipeline laying planning method provided in an embodiment of the present application;

[0048] Figure 2 yes Figure 1 Flow chart of step S102 in FIG.

[0049] Figure 3 yes Figure 2 Flow chart of step S202 in FIG.

[0050] Figure 4 yes Figure 1 Flow chart of step S103 in FIG.

[0051] Figure 5 yes Figure 4 Flow chart of step S402 in FIG.

[0052] Figure 6 yes Figure 1 Flow chart of step S104 in FIG.

[0053] Figure 7 yes Figure 1 Flow chart of step S105 in FIG.

[0054] Figure 8 It is a structural schematic diagram of a pipeline laying planning device provided in an embodiment of the present application;

[0055] Fig. 9 is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application;

[0056] Fig.10 This is the pipeline laying plan diagram of the target laying area provided in the embodiment of the present application

[0057] Fig.11 It is a schematic diagram of the candidate paving area provided in the embodiment of the present application. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0059] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0060] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0061] First, some nouns involved in this application are analyzed:

[0062] Pipeline Pressure Tolerance Threshold: Pipeline pressure tolerance threshold refers to the maximum pressure value that the pipeline can safely withstand. When the pressure exceeds this threshold, the pipeline will deform, rupture or suffer other structural damage, resulting in water leakage, gas leakage or other dangerous situations.

[0063] High-density narrow road areas are areas with highly concentrated population, space, production and consumption materials, and narrow roads. Due to the dense population activities in these areas, the demand for pipeline facilities such as water, electricity, gas, and communications is very high. In order to meet this high demand, a large number of pipelines need to be buried underground to ensure an adequate supply of resources. In the traditional high-density narrow road pipeline laying, the pipeline is laid directly under the road. Due to the narrow road and dense population activities, the pipeline is subjected to excessive pressure and ruptures. Therefore, for high-density narrow road areas, how to accurately plan the pipeline to ensure the safety of the pipeline has become an urgent problem to be solved.

[0064] Based on this, the embodiments of the present application provide a pipeline laying planning method and device, electronic equipment and storage medium, which aim to accurately plan the pipeline to ensure the safety of the pipeline.

[0065] A pipeline laying planning method and device, electronic device and storage medium provided in the embodiments of the present application are specifically described through the following embodiments. First, the pipeline laying planning method in the embodiments of the present application is described.

[0066] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0067] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0068] The pipeline laying planning method provided in the embodiment of the present application relates to the technical field of integrated pipeline planning. The pipeline laying planning method provided in the embodiment of the present application can be applied to a terminal, can be applied to a server side, or can be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or a distributed system composed of multiple physical servers, or can be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the pipeline laying planning method, etc., but is not limited to the above forms.

[0069] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0070] Figure 1 is an optional flow chart of the pipeline laying planning method provided in the embodiment of the present application. Figure 1 The method may include but is not limited to steps S101 to S107:

[0071] Step S101, obtaining the historical usage of the target resource in the target paving area;

[0072] Step S102, dividing the target road in the target paving area into regions to obtain a plurality of candidate paving regions;

[0073] Step S103, obtaining traffic flow data and road area attribute data on each candidate paving area;

[0074] Step S104, calculating the pipeline pressure according to the traffic flow data and the road area attribute data to obtain the pipeline pressure threshold;

[0075] Step S105, determining the number of pipes of the target pipe according to the historical usage and the pipe specification of the target resource; wherein the target pipe is used to transmit the target resource;

[0076] Step S106, if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate laying area is used as the target laying area;

[0077] Step S107, performing pipeline planning according to the target laying area and the number of pipelines to obtain a pipeline laying planning solution.

[0078] In steps S101 to S107 shown in the embodiment of the present application, a plurality of candidate paving areas are obtained by obtaining the historical usage of the target resource in the target paving area and dividing the target road in the target paving area into regions, and then the traffic flow data and road area attribute data on each candidate paving area are obtained, and the pipeline pressure is calculated based on the traffic flow data and the road area attribute data to obtain the pipeline pressure threshold; the number of pipelines of the target pipeline is determined based on the historical usage and the pipeline specifications of the target resource, so as to ensure that the number of laid pipelines can meet the resource demand of the target resource in the target paving area; further, if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate paving area is used as the target paving area to ensure that the pipeline will not rupture due to excessive pressure after being laid in the target paving area; finally, pipeline planning is performed based on the target paving area and the number of pipelines to obtain a pipeline laying planning scheme that can ensure that the resource demand for the target resource can be met and the safety of the pipeline is ensured.

[0079] In step S101 of some embodiments, the target laying area is an area where pipelines need to be laid, and the target resource is a resource required by the target laying area, including but not limited to power pipelines, water pipes, gas pipes, rainwater pipes, recycled water, thermal pipes or sewage pipes. The historical usage is the historical usage data of the target laying area for the target resource.

[0080] See also Figure 2 In some embodiments, step S102 may include but is not limited to steps S201 to S203:

[0081] Step S201, obtaining an image corresponding to a target road from a preset map to obtain a target road image;

[0082] Step S202, performing road line detection on the target road image to obtain a plurality of road lines;

[0083] Step S203: taking the area between every two adjacent road lines as a candidate paving area, and obtaining a plurality of candidate paving areas.

[0084] In steps S201 to S203 shown in the embodiment of the present application, an image corresponding to the target road is obtained from a preset map to obtain a target road image, and road line detection is performed on the target road image to obtain multiple target road lines. Then, an area between two adjacent road lines is used as a candidate paving area to obtain multiple candidate paving areas, thereby accurately dividing the target road into multiple candidate paving areas and improving the degree of automation in dividing the candidate paving areas.

[0085] In step S201 of some embodiments, the preset map is a street view, which is obtained by 360-degree circular shooting of a motor vehicle or manually on the road. The target road is a road where pipelines need to be laid. The target road is screened from the preset map to obtain a target road image.

[0086] See also Figure 3 In some embodiments, step S202 may include but is not limited to steps S301 to S304:

[0087] Step S301, obtaining a grayscale image of a target road image, and performing denoising processing on the grayscale image to obtain a target detection image;

[0088] Step S302, performing edge detection on the target detection image to obtain an edge detection image;

[0089] Step S303, performing Hough transform on the edge detection image to obtain multiple candidate detection lines;

[0090] Step S304: Screen candidate detection lines according to a preset angle threshold and a preset distance threshold to obtain a plurality of road lines.

[0091] In steps S301 to S304 shown in the embodiment of the present application, a target detection image is obtained by acquiring a grayscale image of the target road image and denoising the grayscale image, and then edge detection is performed on the target detection image to obtain an edge detection image, and the edge detection image is subjected to Hough transform to obtain multiple candidate detection lines. Finally, the candidate detection lines are screened according to a preset angle threshold and a preset distance threshold to obtain multiple road lines, thereby achieving accurate extraction of road lines in the image, thereby providing a data basis for subsequent division of roads according to the road lines.

[0092] In step S301 of some embodiments, the grayscale image is an image containing only brightness information, and the value of each pixel represents a different grayscale level. The grayscale image is obtained by grayscale transformation of the target road image. Denoising refers to reducing or eliminating noise in the image through image processing technology. The method of removing noise can be median filtering denoising or mean filtering denoising, which is not limited here.

[0093] In step S302 of some embodiments, edge detection is used to identify areas in the image where pixel values ​​change significantly, thereby detecting boundaries and contours in the image. By performing edge detection on the target detection image, multiple boundaries and contours in the target detection image are identified to obtain an edge detection image.

[0094] In step S303 of some embodiments, Hough transform is used for straight lines in an edge detection image. The edge detection image includes multiple boundaries and contours, including road line contours, vehicle contours, tree contours or human contours, etc. By performing Hough transform on the edge detection image, the road line contour is extracted from the edge detection image to obtain multiple candidate detection lines.

[0095] In step S304 of some embodiments, the angle and distance between every two adjacent candidate detection lines are first obtained, and then the angle and distance between the candidate detection lines are screened by a preset angle threshold and a preset distance threshold. When the angle between the candidate detection lines is less than the preset angle threshold and the distance between the candidate detection lines is less than the preset distance threshold, the candidate detection line is used as a road line. A road line is a line on a road, including but not limited to a curb line between a pedestrian road and a motor vehicle road, a center line on the road, a double yellow line, and a bicycle lane line.

[0096] In step S203 of some embodiments, the candidate paving area is the area between two adjacent road lines. For example, from the left side to the right side of the road, there are the first building line, the first curb line, the center line, the second curb line, and the second building line, respectively. The area between the first building line and the first curb line is the first candidate paving area, i.e., the left sidewalk. The area between the first curb line and the center line constitutes the second candidate paving area, i.e., the vehicle driving area. The area between the center line and the second curb line constitutes the third candidate paving area, i.e., the vehicle driving area. The second curb line and the second building line constitute the fourth candidate paving area, i.e., the right sidewalk.

[0097] In step S103 of some embodiments, the road area attribute data is attribute data of the road, including but not limited to road material, road thickness, road width, road slope, soil type under the road, and road pipeline laying points.

[0098] See also Figure 4 In some embodiments, step S103 may include but is not limited to steps S401 to S403:

[0099] Step S401, collecting traffic video data of a target road within a preset periodic interval;

[0100] Step S402, performing target detection according to the traffic video data to obtain a plurality of target detection objects;

[0101] Step S403, statistical processing is performed on multiple target detection objects to obtain traffic flow data.

[0102] Steps S401 to S403 shown in the embodiment of the present application obtain multiple target detection objects by collecting traffic video data of the target road within a preset periodic interval, and performing target detection based on the traffic video data. Finally, the multiple target detection objects are counted to obtain traffic flow data, thereby accurately calculating the traffic flow on the target road, providing a data basis for subsequent pipeline pressure calculation based on the traffic flow data, and ensuring that the pipeline will not rupture or deform due to excessive pressure after laying.

[0103] In step S401 of some embodiments, the preset periodic interval is a preset time interval, and the traffic video data is a video collected by a video collector on the target road. For example, video data between 8:00 and 9:30 is collected every other day, so as to obtain traffic video data of the target road during the peak traffic period.

[0104] See also Figure 5 In some embodiments, step S402 includes but is not limited to steps S501 to S502:

[0105] Step S501, performing object segmentation on traffic video data to obtain multiple candidate detection objects;

[0106] Step S502 , classifying multiple candidate detection objects to obtain multiple candidate detection categories, and using the multiple candidate detection categories and the corresponding candidate detection objects as target detection objects.

[0107] In steps S501 to S502 shown in the embodiment of the present application, multiple candidate detection objects are obtained by object segmentation of traffic data, and then multiple candidate detection objects are classified to obtain multiple candidate categories, and the multiple candidate categories and corresponding candidate detection objects are used as target detection objects to identify moving objects on the target road, thereby providing a data basis for subsequent calculation of the pipeline pressure threshold according to the target detection object.

[0108] In step S501 of some embodiments, the traffic video data includes multiple video frames, and the object segmentation is to segment the moving object from the image, that is, perform object segmentation based on the multiple video frames in the traffic video data to obtain the objects moving in the target area.

[0109] In step S502 of some embodiments, the candidate detection category is the category of the candidate detection object, for example, the candidate detection objects are classified to confirm that the first detection object is a vehicle, the second detection object is a pedestrian, and the third detection object is a bicycle. The candidate detection category and the corresponding candidate detection object are combined to obtain the target detection object.

[0110] In step S403 of some embodiments, the statistical processing is to count the number of target detection objects on the target road. The target detection object includes the category and number of the target detection object, and the target road is counted to obtain traffic flow data. For example, there are 873 pedestrians and 430 vehicles on the target road between 8:00 and 9:30. The peak flow between 8:00 and 9:30 is 40 vehicles per minute and 34 pedestrians per minute.

[0111] See also Figure 6 In some embodiments, the traffic flow data includes vehicle flow data, vehicle type data, and pedestrian flow data; the road area attribute data includes road material and road thickness; step S104 includes but is not limited to steps S601 to S603:

[0112] Step S601, calculating the vehicle weight according to the vehicle flow data, the vehicle type data and the corresponding preset vehicle type weight, and obtaining a preset vehicle pressure value per unit time;

[0113] Step S602, calculating the crowd weight according to the crowd flow data and the corresponding preset crowd weight, and obtaining the crowd pressure value per unit time;

[0114] Step S603, calculating the road weight according to the road material and road thickness to obtain a road pressure value;

[0115] Step S604, performing aggregate calculation based on the road pressure value, the pedestrian pressure value and the vehicle pressure value to obtain the pipeline pressure threshold.

[0116] In steps S601 to S604 shown in the embodiment of the present application, the vehicle pressure value, the pedestrian pressure value, and the road pressure value are calculated, and the pipeline pressure threshold is obtained by performing aggregation calculation based on the vehicle pressure value, the pedestrian pressure value, and the road pressure value, so as to accurately obtain the pressure that the pipeline needs to withstand, and then provide a data basis for subsequently confirming the target laying area of ​​the pipeline according to the pipeline pressure threshold, thereby realizing the planning of the laying position of the pipeline and ensuring the safety of the pipeline.

[0117] In step S601 of some embodiments, the vehicle flow data is the total number of vehicles on the road in a unit time, and the vehicle type data is the type of vehicle, for example, a car, a truck, a water truck, etc. Each vehicle type data corresponds to a preset vehicle type weight. By calculating the vehicle weight according to the vehicle flow data, the vehicle type data and the vehicle type weight, the vehicle pressure value borne by the target road in a unit time is obtained.

[0118] In step S602 of some embodiments, the pedestrian flow data is the pedestrian flow on the road per unit time, and the pedestrian flow weight is calculated based on the pedestrian flow data and the corresponding preset crowd weight to obtain the pedestrian flow pressure value per unit time.

[0119] In step S603 of some embodiments, the road weight is calculated by calculating the road weight according to the material density corresponding to the road material and the corresponding road thickness to obtain a road pressure value. The road pressure value is the weight of the road material between the road surface and the contact surface of the pipeline that the pipeline needs to bear.

[0120] In step S604 of some embodiments, the aggregation calculation is the sum of the pedestrian pressure value and the vehicle pressure value to obtain the pipeline pressure threshold. The pipeline pressure threshold is represented by the pressure from pedestrians and vehicles on the ground and the weight of the road material between the road surface and the pipeline contact surface that the pipeline laid on the ground needs to withstand.

[0121] See also Figure 7 In some embodiments, step S105 may include but is not limited to steps S701 to S702:

[0122] Step S701, obtaining pipeline flow of pipeline specifications;

[0123] Step S702, obtaining the ratio between the historical usage and the pipeline flow, and obtaining the number of pipelines.

[0124] In steps S701 to S702 shown in the embodiment of the present application, the required number of pipelines is accurately determined by obtaining the pipeline flow of the pipeline specification and obtaining the ratio between the historical usage and the pipeline flow.

[0125] In step S701 of some embodiments, the pipeline flow rate is the amount of fluid that the pipeline can safely transport the target resource per unit time, expressed in cubic meters per second or kilograms per second.

[0126] In step S702 of some embodiments, the ratio between the historical usage and the pipeline flow is obtained to obtain the number of pipelines. For example, if the historical usage is 5 kilograms per second and the pipeline flow is 1 kilogram per second, the number of pipelines is 5.

[0127] In step S106 of some embodiments, if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate laying area is used as the target laying area. If the pressure threshold corresponding to the target pipeline is less than the pipeline pressure threshold, it indicates that the target pipeline cannot be laid in the candidate laying area.

[0128] In step S107 of some embodiments, the target laying area may include multiple laying areas. One laying area is selected from the target laying area as the first area, and the pipeline is laid in the first area. When all pipelines cannot be completely laid in the first area, the next area in the target laying area is selected as the second area, and the remaining pipelines are laid in the second area. The laying process continues until all pipelines are laid.

[0129] See 10 and Fig.11 In one embodiment, the target area includes a main road, a secondary road and two branch roads. First, the historical usage of the target resources in the target area is obtained. The target resources include power resources, water supply resources, gas resources, rainwater resources, communication resources, recycled water resources, thermal resources and sewage resources. Then the roads are divided into roads. Taking the secondary road as an example, the target road is the secondary road. First, the target road image on the secondary road is obtained from the preset map, and then the target road image is subjected to grayscale processing, denoising, edge detection, Hough transform and screening according to preset angle thresholds and preset distance thresholds to obtain multiple road lines, that is, Fig.11 From left to right, the building line, curb line, center line, curb line and building line are taken. Then the area between each two adjacent road lines is taken as the candidate paving area, that is, Fig.11From left to right in the figure are non-motorized vehicle lanes, motor vehicle lanes, motor vehicle lanes and non-motorized vehicle lanes. Then, the traffic video data of the target road is collected within a preset time period, and target detection is performed according to the traffic road data to obtain multiple target detection objects, and then the multiple target detection objects are statistically processed to obtain traffic flow data. The traffic flow data includes vehicle flow data, vehicle type data, and pedestrian flow data. Then, the vehicle pressure value is calculated according to the vehicle flow data, vehicle type data and the corresponding preset vehicle type weight, and the pedestrian flow pressure data is calculated according to the pedestrian flow data and the corresponding crowd weight, and then the road pressure value is calculated according to the road material and the road thickness, and finally the pipeline pressure threshold is calculated according to the road pressure value, the pedestrian flow pressure value and the vehicle pressure value. For example, on the non-motorized vehicle lane, there are 4 people per square meter of sidewalk during peak hours, and there is 1 person riding a bicycle. The pedestrian weight is a preset 70 kilograms, and the bicycle weight is 100KG, that is, a total of 380KG, multiplied by the acceleration of gravity, the total pressure per square meter is about 3.73 Pa. The road pressure value is 2.35 kPa. If there are no vehicles on the non-motorized vehicle lane, the vehicle pressure value is 0 Pa. The pipeline pressure threshold on the sidewalk is 6.08 kPa, that is, the pipeline pressure threshold is 6.08 kPa. At the same time, the pressure value on the motorway is calculated to obtain the pipeline pressure threshold on the motorway, and the target laying area that can be laid for each resource is determined according to the pressure values ​​of the pipelines corresponding to the power resources, water supply resources, gas resources, rainwater resources, communication resources, recycled water resources, thermal resources and sewage resources. Then, according to the preset pipeline laying priority, target laying area and number of pipelines, pipeline planning is carried out to obtain the pipeline laying plan. Among them, the pipeline laying priority is for the roads on the southeast side, electricity>water supply>gas>rainwater. For the roads on the northwest side, communications>recycled water>heat>sewage. Lay the pipelines according to the pipeline priority, the width of the target laying area and the number of pipelines. The target laying area may include multiple laying areas. Select one laying area from the target laying area as the first area and lay the pipelines in the first area. When all pipelines cannot be completely laid in the first area, select the next area in the target laying area as the second area and lay the remaining pipelines in the second area. The laying process continues until all pipelines are laid. When the target pipeline cannot be completely laid on the target road, move the target pipeline to the adjacent road to continue laying. For example, see Fig.11When the power pipelines and water pipelines of the secondary trunk roads are laid, the remaining road width is not enough to support the laying of gas pipelines, so the gas pipelines will be moved to other roads for laying. For the target area, pipeline planning needs to be carried out according to the principle of meeting the requirements of two-way access for water supply and electricity and one-way access for other pipelines, that is, water supply and electricity need to be connected on both sides of a plot, and the rest only need to be connected on one side of a plot. Through the pipeline laying planning of a target road and the burying of pipelines according to priority, when the pipeline cannot be buried in the target road, the pipeline will be moved to other roads. The principle of moving pipelines is to move them according to the principle of two-way access for water supply and electricity and one-way access for other pipelines to complete the planning of all pipelines in a target laying area.

[0130] See also Figure 8 The embodiment of the present application also provides a pipeline laying planning device, which can implement the above-mentioned pipeline laying planning method, and the device includes:

[0131] The first acquisition module 801 is used to acquire the historical usage of the target resource in the target paving area;

[0132] A division module 802 is used to divide the target road in the target paving area into regions to obtain a plurality of candidate paving regions;

[0133] The second acquisition module 803 is used to acquire traffic flow data and road area attribute data on each candidate paving area;

[0134] The calculation module 804 is used to calculate the pipeline pressure according to the traffic flow data and the road area attribute data to obtain the pipeline pressure threshold;

[0135] A determination module 805 is used to determine the number of pipes of a target pipe according to the historical usage and the pipe specification of the target resource; wherein the target pipe is used to transmit the target resource;

[0136] A comparison module 806 is used to use the candidate laying area as the target laying area if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold;

[0137] The planning module 807 is used to plan pipelines according to the target laying area and the number of pipelines to obtain a pipeline laying planning solution.

[0138] The specific implementation of the pipeline laying planning device is basically the same as the specific implementation of the above-mentioned pipeline laying planning method, and will not be repeated here.

[0139] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above pipeline laying planning method when executing the computer program. The electronic device can be any intelligent terminal including a tablet computer, a car computer, etc.

[0140] See also Fig. 9 , Fig. 9 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0141] The processor 901 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0142] The memory 902 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 902 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 902, and the processor 901 calls and executes the pipeline laying planning method of the embodiment of this application;

[0143] Input / output interface 903, used to implement information input and output;

[0144] Communication interface 904, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WI FI, Bluetooth, etc.);

[0145] A bus 905 that transmits information between various components of the device (e.g., the processor 901, the memory 902, the input / output interface 903, and the communication interface 904);

[0146] The processor 901 , the memory 902 , the input / output interface 903 and the communication interface 904 are connected to each other in communication within the device via a bus 905 .

[0147] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned pipeline laying planning method is implemented.

[0148] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0149] The pipeline laying planning method, pipeline laying planning device, electronic device and storage medium provided in the embodiments of the present application obtain the historical usage of the target resource in the target laying area, and divide the target road in the target laying area into regions to obtain multiple candidate laying areas, then obtain the traffic flow data and road area attribute data on each candidate laying area, and calculate the pipeline pressure according to the traffic flow data and road area attribute data to obtain the pipeline pressure threshold; determine the number of pipelines of the target pipeline according to the historical usage and the pipeline specifications of the target resource, so as to ensure that the number of laid pipelines can meet the resource demand of the target resource in the target laying area; further, if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate laying area is used as the target laying area to ensure that the pipeline will not rupture due to excessive pressure after being laid in the target laying area; finally, the pipeline is planned according to the target laying area and the number of pipelines to obtain a pipeline laying planning scheme that can ensure that the resource demand for the target resource can be met and the safety of the pipeline is ensured.

[0150] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0151] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0152] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0153] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0154] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0155] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0156] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0157] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0158] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0159] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0160] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A pipeline laying planning method, characterized in that: The method comprises: Obtain the historical usage of target resources in the target laying area; Acquire an image corresponding to the target road from a preset map to obtain a target road image; Performing road line detection on the target road image to obtain a plurality of road lines; Taking the area between each two adjacent road lines as the candidate paving area, to obtain a plurality of candidate paving areas; Acquire traffic flow data and road area attribute data on each of the candidate paving areas; Calculate pipeline pressure according to the traffic flow data and the road area attribute data to obtain a pipeline pressure threshold; Determining the number of pipes of the target pipe according to the historical usage and the pipe specification of the target resource; wherein the target pipe is used to transmit the target resource; If the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold, the candidate laying area is used as the target laying area; Pipeline planning is performed according to the target laying area and the number of pipelines to obtain a pipeline laying planning scheme.

2. The method according to claim 1, characterized in that The performing road line detection on the target road image to obtain a plurality of road lines comprises: Acquire a grayscale image of the target road image, and perform denoising on the grayscale image to obtain a target detection image; Performing edge detection on the target detection image to obtain an edge detection image; Performing Hough transform on the edge detection image to obtain multiple candidate detection lines; The candidate detection lines are screened according to a preset angle threshold and a preset distance threshold to obtain a plurality of the road lines.

3. The method according to claim 1, characterized in that The traffic flow data includes vehicle flow data, vehicle type data, and pedestrian flow data; the road area attribute data includes road material and road thickness; the pipeline pressure calculation is performed based on the traffic flow data and the road area attribute data to obtain the pipeline pressure threshold, including: Calculating the vehicle weight according to the vehicle flow data, the vehicle type data and the corresponding preset vehicle type weight to obtain a preset vehicle pressure value per unit time; Calculate the crowd weight according to the crowd flow data and the corresponding preset crowd weight to obtain the crowd pressure value per unit time; Calculate the road weight according to the road material and the road thickness to obtain a road pressure value; The pipeline pressure threshold value is obtained by performing aggregate calculation based on the road pressure value, the pedestrian pressure value and the vehicle pressure value.

4. The method according to claim 1, characterized in that: The step of obtaining the traffic flow data on each candidate paving area includes: Collecting traffic video data of the target road within a preset periodic interval; Performing target detection according to the traffic video data to obtain multiple target detection objects; Statistical processing is performed on the multiple target detection objects to obtain the traffic flow data.

5. The method according to claim 4, characterized in that performing target detection according to the traffic video data to obtain a plurality of target detection objects; Performing object segmentation on the traffic video data to obtain a plurality of candidate detection objects; Object classification is performed on the plurality of candidate detection objects to obtain a plurality of candidate detection categories, and the plurality of candidate detection categories and the corresponding candidate detection objects are used as the target detection objects.

6. The method according to claim 1, characterized in that The determining the number of pipelines of the target pipeline according to the historical usage and the pipeline specification of the target resource includes: Obtaining pipeline flow rate of the pipeline specification; The ratio between the historical usage and the pipeline flow is obtained to obtain the pipeline quantity.

7. A pipeline laying planning device, characterized in that: The device comprises: A first acquisition module is used to acquire the historical usage of the target resource in the target paving area; A division module is used to obtain an image corresponding to the target road from a preset map to obtain a target road image; perform road line detection on the target road image to obtain a plurality of road lines; and use the area between each two adjacent road lines as the candidate paving area to obtain a plurality of candidate paving areas; A second acquisition module is used to acquire traffic flow data and road area attribute data on each candidate paving area; A calculation module, used to calculate the pipeline pressure according to the traffic flow data and the road area attribute data to obtain a pipeline pressure threshold; A determination module, configured to determine the number of pipes of a target pipe according to the historical usage and the pipe specification of the target resource; wherein the target pipe is used to transmit the target resource; A comparison module, configured to use the candidate laying area as the target laying area if the pressure value corresponding to the target pipeline is greater than the pipeline pressure threshold; The planning module is used to perform pipeline planning according to the target laying area and the number of pipelines to obtain a pipeline laying planning solution.

8. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the pipeline laying planning method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the pipeline laying planning method according to any one of claims 1 to 6 is implemented.

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