CN115049624A - Method, device, equipment, medium and product for sending early warning information of highway cracks - Google Patents

Method, device, equipment, medium and product for sending early warning information of highway cracks Download PDF

Info

Publication number
CN115049624A
CN115049624A CN202210717675.2A CN202210717675A CN115049624A CN 115049624 A CN115049624 A CN 115049624A CN 202210717675 A CN202210717675 A CN 202210717675A CN 115049624 A CN115049624 A CN 115049624A
Authority
CN
China
Prior art keywords
crack
road
depth map
road surface
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210717675.2A
Other languages
Chinese (zh)
Inventor
吴迪
孙光乾
阎静
杨在喜
苏永红
李莹
田甜
田素英
朱延
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhengzhou Yuzhong Highway Quality Inspection Co ltd
Original Assignee
Zhengzhou Yuzhong Highway Quality Inspection Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhengzhou Yuzhong Highway Quality Inspection Co ltd filed Critical Zhengzhou Yuzhong Highway Quality Inspection Co ltd
Priority to CN202210717675.2A priority Critical patent/CN115049624A/en
Publication of CN115049624A publication Critical patent/CN115049624A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/70Denoising; Smoothing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10028Range image; Depth image; 3D point clouds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • G06T2207/30256Lane; Road marking

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Road Repair (AREA)

Abstract

The embodiment of the disclosure discloses a method, a device, equipment, a medium and a product for sending early warning information of a road crack. One embodiment of the method comprises: acquiring a highway pavement depth map and position information when the highway pavement depth map is shot; carrying out image processing on the road pavement depth map to obtain a road pavement depth map after image processing as a target road pavement depth map; generating road pavement scoring information corresponding to the target road pavement depth map according to the depth value corresponding to each pixel point in the target road pavement depth map; generating road pavement grade information corresponding to the target road pavement depth map according to the road crack score value; generating highway crack early warning information according to the highway crack grade and position information; and sending the highway crack early warning information to the target terminal equipment, so that the target terminal equipment displays the highway crack early warning information. The embodiment saves computing resources and improves detection efficiency.

Description

Method, device, equipment, medium and product for sending early warning information of highway cracks
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method, a device, equipment, a medium and a product for sending early warning information of highway cracks.
Background
Highway crack detection is a technique for detecting cracks on a highway pavement. At present, when road crack detection is carried out, the method generally adopted is as follows: and carrying out image recognition or manual detection through the neural network model, and informing maintenance personnel to maintain after detecting that a crack exists on the road surface.
However, the inventors have found that when detecting cracks in a road in the above manner, there are often technical problems as follows:
firstly, the requirement on the quality of a training sample is high through the neural network detection, so the image processing process is complex, the calculation resource is wasted, the detection speed is low, a large number of detectors are required for the manual detection on the spot on a road, and the efficiency is low.
Secondly, only whether cracks exist on the road surface is identified, and the severity of the cracks is not quantified, so that maintenance personnel cannot intuitively know the severity of the cracks.
Thirdly, when the distance between the maintenance personnel and the cracks on the road surface is far, the maintenance personnel cannot maintain the cracks in time.
The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art in this country.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a road crack warning information sending method, apparatus, electronic device, computer readable medium and computer program product to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for sending road crack warning information, where the method includes: acquiring a highway pavement depth map and position information when the highway pavement depth map is shot; carrying out image processing on the road pavement depth map to obtain a road pavement depth map after image processing as a target road pavement depth map; generating road surface scoring information corresponding to the target road surface depth map according to the depth value corresponding to each pixel point in the target road surface depth map, wherein the road surface scoring information comprises a road crack scoring value; generating road surface grade information corresponding to the target road surface depth map according to the road crack score value, wherein the road surface grade information comprises a road crack grade; generating highway crack early warning information according to the highway crack grades and the position information; and sending the highway crack early warning information to target terminal equipment, so that the target terminal equipment displays the highway crack early warning information.
In a second aspect, some embodiments of the present disclosure provide a road crack warning information transmitting device, including: an acquisition unit configured to acquire a road surface depth map and position information when the road surface depth map is photographed; the processing unit is configured to perform image processing on the road pavement depth map to obtain the road pavement depth map after the image processing as a target road pavement depth map; a first generating unit configured to generate road surface score information corresponding to the target road surface depth map according to depth values corresponding to respective pixel points in the target road surface depth map, wherein the road surface score information includes a road crack score value; a second generation unit configured to generate road surface grade information corresponding to the target road surface depth map according to the road crack score value, wherein the road surface grade information includes a road crack grade; a third generating unit configured to generate road crack warning information according to the road crack grade and the position information; and the transmitting unit is configured to transmit the road crack early warning information to a target terminal device, so that the target terminal device displays the road crack early warning information.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
In a fifth aspect, some embodiments of the present disclosure provide a computer program product comprising a computer program that, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantages: by the aid of the road crack early warning information sending method, computing resources can be saved, and detection efficiency is improved. Specifically, the reasons for the waste of computing resources and the low detection efficiency are as follows: through the neural network detection, the requirement on the quality of a training sample is high, so the image processing process is complex, the calculation resources are wasted, the detection speed is low, a large number of detectors are required for on-site detection on roads in the manual detection, and the efficiency is low. Based on this, according to the method for sending the early warning information of the road crack of some embodiments of the present disclosure, first, a road pavement depth map and position information when the road pavement depth map is shot are obtained. And then, carrying out image processing on the road pavement depth map to obtain the road pavement depth map after image processing as a target road pavement depth map. Therefore, the practicability of the road pavement depth map is increased. And secondly, generating road pavement scoring information corresponding to the target road pavement depth map according to the depth value corresponding to each pixel point in the target road pavement depth map. The road surface scoring information comprises a road crack scoring value. Therefore, the cracks of the road surface can be detected according to the depth value, complex processing on the image is not needed, computing resources are saved, and the detection speed is improved. And then, generating the road pavement grade information corresponding to the target road pavement depth map according to the road crack score value. Wherein the road surface grade information includes a road crack grade. And then, generating road crack early warning information according to the road crack grade and the position information. Therefore, the highway crack early warning information is automatically generated. And finally, sending the highway crack early warning information to target terminal equipment, so that the target terminal equipment displays the highway crack early warning information. Therefore, the early warning information of the road cracks can be directly sent to the working personnel through the target terminal device, so that the working personnel can quickly and timely master the road surface information of the road, and the automatic detection of the road surface cracks is realized. Therefore, computing resources can be saved, the detection speed is improved, manual detection is not needed, the highway crack early warning information is automatically generated, and the highway crack detection efficiency is improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
Fig. 1 is a flow diagram of some embodiments of a highway crack warning information transmitting method according to the present disclosure;
FIG. 2 is a schematic structural diagram of some embodiments of a highway crack warning information transmitting device according to the present disclosure;
FIG. 3 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates a flow 100 of some embodiments of a highway crack warning information transmission method according to the present disclosure. The method for sending the early warning information of the road crack comprises the following steps:
step 101, obtaining a road surface depth map and position information when the road surface depth map is shot.
In some embodiments, an executing entity (e.g., a computing device) of the method for sending the road crack warning information may obtain the road pavement depth map and the position information when the road pavement depth map is captured by means of wired connection or wireless connection. The road surface depth map may be a depth map obtained by shooting a road surface with a depth camera. When the depth camera shoots the road surface, the depth camera can be parallel to the road surface. The position information may be longitude and latitude when the depth camera shoots the road pavement depth map. In practice, a depth camera and a GPS (Global Positioning System) Positioning device may be mounted on a vehicle to obtain a road surface depth map and position information when the road surface depth map is captured. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.
The computing device may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
And 102, carrying out image processing on the road pavement depth map to obtain the road pavement depth map after image processing as a target road pavement depth map.
In some embodiments, the executing entity may perform image processing on the road surface depth map in various ways, and obtain the image-processed road surface depth map as the target road surface depth map.
In some optional implementation manners of some embodiments, the executing entity may perform image processing on the road pavement depth map through the following steps to obtain an image-processed road pavement depth map as a target road pavement depth map:
and step one, carrying out noise reduction treatment on the road surface depth map to obtain the noise-reduced road surface depth map serving as the noise-reduced road surface depth map.
In practice, the manner of performing the noise reduction processing on the road pavement depth map by the executing entity may include, but is not limited to, gaussian filtering and noise reduction.
And secondly, performing enhancement processing on the noise-reduction road surface depth map to obtain the enhanced noise-reduction road surface depth map serving as a target road surface depth map.
In practice, the execution subject may perform upsampling processing on the noise-reduced road surface depth map to obtain an enhanced noise-reduced road surface depth map as a target road surface depth map.
And 103, generating road pavement scoring information corresponding to the target road pavement depth map according to the depth value corresponding to each pixel point in the target road pavement depth map.
In some embodiments, the execution subject may generate the road surface score information corresponding to the target road surface depth map according to the depth value corresponding to each pixel point in the target road surface depth map. The road surface scoring information may include a road crack scoring value. The above-mentioned road crack score value may be a score for scoring a road crack.
In some optional implementations of some embodiments, the executing body may generate the road surface score information corresponding to the target road surface depth map according to the depth value corresponding to each pixel point in the target road surface depth map by:
firstly, selecting pixel points meeting target conditions from the target highway pavement depth map as crack pixel points to obtain a crack pixel point set. The target condition may be that a depth value corresponding to the pixel point is greater than a preset threshold. The preset threshold value can be a value which is set in advance and used for screening the crack pixel points.
And secondly, selecting the depth value corresponding to each crack pixel point from the depth values corresponding to the crack pixel points as the crack depth value for each crack pixel point in the crack pixel point set.
And thirdly, generating a pixel point crack score value corresponding to each crack pixel point in the crack pixel point set according to the preset threshold and the crack depth value corresponding to the crack pixel point.
In some optional implementation manners of some embodiments, the execution main body may generate the pixel point crack score value corresponding to the crack pixel point according to the preset threshold and the crack depth value corresponding to the crack pixel point through the following steps:
firstly, determining the difference value between the crack depth value and the preset threshold value as a first target value.
And secondly, determining the product of the first target value and a preset coefficient as a second target value. The preset coefficient may be a preset coefficient. For example, the preset coefficient may be 100.
And thirdly, generating a pixel point crack score value corresponding to the crack pixel point according to the second target value.
In practice, the execution subject may generate a pixel point crack score value corresponding to the crack pixel point according to the following formula:
wherein, the crack score value of the pixel point is represented. Representing the second target value. Representing a natural constant.
And fourthly, generating a road crack score value according to the generated crack score value of each pixel point.
In practice, the executing body may determine the sum of the crack score values of the generated pixels as the crack score value of the road.
And fifthly, generating road surface grading information according to the road crack grading value.
In practice, the execution body may determine the road crack score value as road surface score information. The road crack scoring value can be combined with preset scoring linguistic data to obtain road pavement scoring information. The preset scoring corpus may be a preset corpus for describing a road pavement score. For example, the preset scoring corpus may be "road surface score: ". The execution body may splice the predetermined scoring corpus and the field of the road crack scoring value together to be combined.
And 104, generating road surface grade information corresponding to the target road surface depth map according to the road crack score value.
In some embodiments, the execution body may generate road surface grade information corresponding to the target road surface depth map according to the road crack score value. The road surface grade information may include a road crack grade. The above grade of the road surface crack may be a grade for evaluating the severity of the road surface crack.
In some optional implementations of some embodiments, the executing subject may generate the road surface grade information corresponding to the target road surface depth map according to the road crack score value by:
the method comprises the steps of firstly, selecting preset highway crack grade information, wherein the preset highway crack grade information comprises a preset highway crack score value range matched with the highway crack score value, from a preset highway crack grade information set and serves as target highway crack grade information. The preset road crack grade information in the preset road crack grade information set comprises a preset road crack score value range and a preset road crack grade. The preset highway crack score value range corresponds to the preset highway crack grades one by one. The preset road crack score value range may be a preset score value range. The preset road crack grade may be a preset grade corresponding to a preset road crack score value range. For example, the predetermined crack score value range may be (0, 350000), the corresponding predetermined crack score is one level, the predetermined crack score information set includes the predetermined crack score value ranges, and the predetermined crack score value range is continuously uninterrupted.
And secondly, determining the preset road crack grade included in the target road crack grade information as the road crack grade.
And thirdly, generating road surface grade information according to the road crack grade.
In practice, the execution body may determine the road crack grade as the road surface grade information. The highway crack grade and the preset grade corpus can be combined to obtain the highway pavement grade information. The preset level corpus may be a preset corpus for describing a road surface level. For example, the preset level corpus may be "road level: ". The execution body may splice the preset level corpus and the field of the road crack level together to be combined.
And 105, generating early warning information of the road cracks according to the grade and the position information of the road cracks.
In some embodiments, the execution subject may generate the road crack warning information according to the road crack grade and the position information.
In some optional implementations of some embodiments, the execution subject may generate the road crack warning information according to the road crack grade and the location information by:
firstly, determining whether the road crack grade meets a preset early warning grade condition. The preset early warning grade condition can be that the grade of the highway crack is larger than the early warning grade. The early warning grade can be a specified preset highway crack grade. For example, the above-mentioned warning level may be five levels.
And secondly, in response to the fact that the road crack grade meets the preset early warning grade condition, executing the following early warning steps:
a first substep of generating address information corresponding to the position information as road crack address information based on the position information. The road crack address information may represent an actual address corresponding to the location information. For example, the highway fracture address information may be "XX subway entrance 100 meters south".
In practice, the execution subject may convert the location information into address information corresponding to the location information as the highway fracture address information by an inverse address resolution method.
And a second substep, combining the highway crack address information with a preset address early warning corpus to obtain the highway crack address early warning information. The preset address early warning corpus may be a preset corpus used for describing an address where the crack is located. For example, the preset address early warning corpus may be "crack address is: ".
In practice, the execution main body may splice the preset address early warning corpus and the field of the highway crack address information together to obtain the highway crack address early warning information. For example, the highway crack address early warning information may be that "the crack address is: XX subway entrance 100 meters south.
And a third substep, combining the highway crack grade and a preset grade early warning corpus to obtain highway crack grade early warning information. The preset grade early warning corpus can be a preset corpus for describing the grade of the crack. For example, the pre-set level early warning corpus may be "crack level: ".
In practice, the execution main body may splice the preset-level early warning corpus and the field of the road crack level together to obtain the road crack level early warning information. For example, the highway crack grade warning information may be that "the crack grade is: six levels ".
And a fourth substep of combining the highway crack address early warning information and the highway crack grade early warning information to obtain the highway crack early warning information.
In practice, the execution main body may splice the fields of the highway crack address early warning information and the highway crack grade early warning information together to obtain the highway crack early warning information. For example, the road crack warning information may be that "the crack address is: XX subway entrance 100 meters to the south; the crack rating is: six levels ".
The first step, the second step and the related contents are taken as an invention point of the embodiment of the disclosure, and the technical problem mentioned in the background art is solved, namely, whether cracks exist on the road surface is only identified, and the severity of the cracks is not quantified, so that maintenance personnel cannot intuitively know the severity of the cracks. ". Factors that cause maintenance personnel to not be able to intuitively know the severity of the crack are often as follows: only whether cracks exist on the road surface is identified, and the severity of the cracks is not quantified. Therefore, the crack severity is quantified by the road crack grade, screening is carried out, and road crack address information is generated according to the position information of the road crack grade meeting the preset early warning grade condition, so that the road crack address early warning information is generated. And generating highway crack grade early warning information according to the highway crack grade meeting the preset early warning grade condition. And then combining the highway crack address early warning information and the highway crack grade early warning information to obtain the highway crack early warning information. Therefore, the position of the crack generated on the road surface and the severity of the crack are timely fed back to maintenance personnel, and the maintenance personnel can visually know the severity of the crack.
And 106, sending the highway crack early warning information to the target terminal equipment, so that the target terminal equipment displays the highway crack early warning information.
In some embodiments, the execution subject may send the road crack warning information to a target terminal device, so that the target terminal device displays the road crack warning information.
Optionally, before step 106, the executing entity may determine the target terminal device by:
in a first step, a terminal device identity set is determined. The terminal device identifier may be an identifier of the terminal device. The terminal device may be a device that receives highway crack warning information. Each terminal device is logged with a user account of the user. And the user account corresponding to each terminal device is responsible for receiving the highway crack early warning information in a fixed area. In practice, the execution subject may determine the identities of all terminal devices as a terminal device identity set.
And secondly, selecting a terminal equipment identifier with corresponding area information matched with the position information from the terminal equipment identifier set as an alternative terminal equipment identifier to obtain an alternative terminal equipment identifier set. The area information may be, for example, information (for example, area name) related to an area including each road segment. For example, the above area information may be "XX district of XX city XX province". Here, the matching of the area information and the position information may be: the position represented by the position information is within the area represented by the area information.
And thirdly, acquiring the terminal equipment position information corresponding to each candidate terminal equipment identifier in the candidate terminal equipment identifier set to obtain a terminal equipment position information set. The terminal device location information may be a specific location where the terminal device corresponding to the corresponding candidate terminal device identifier is located. The specific location may be obtained using GPS positioning. In practice, the execution main body may select, from the previously received location information of each terminal device, location information corresponding to each candidate terminal device identifier in the candidate terminal device identifier set as the terminal device location information.
And fourthly, selecting the terminal equipment position information meeting the preset distance condition from the terminal equipment position information set as the target terminal equipment position information according to the position information. The preset distance condition may be that a distance between a position corresponding to the position information of the terminal device and a position corresponding to the position information is the closest.
And fifthly, determining the candidate terminal equipment identifier corresponding to the position information of the target terminal equipment as the target terminal equipment identifier.
And sixthly, determining the terminal equipment corresponding to the target terminal equipment identifier as the target terminal equipment.
The first step to the sixth step and the related contents are regarded as an invention point of the embodiments of the present disclosure, and the technical problem mentioned in the background art is solved, namely, when the distance between the maintenance personnel and the crack on the road surface is far, the maintenance personnel cannot perform maintenance in time. ". Factors that cause maintenance personnel to fail to perform maintenance in a timely manner are often as follows: the maintenance personnel are far away from the cracks on the road surface. Therefore, the method and the device have the advantages that the user account corresponding to the terminal device is used for receiving the highway crack early warning information in the fixed area, so that when the highway pavement crack meeting the preset early warning level condition is detected, the highway crack early warning information can be timely sent to the terminal device closest to the terminal device, and reasonable personnel distribution is achieved. Furthermore, maintenance personnel can take corresponding maintenance measures to the cracks of the road surface in time, and the cracks of the road surface can be guaranteed to be repaired in time.
By the aid of the road crack early warning information sending method, computing resources can be saved, and detection efficiency is improved. Specifically, the reasons for the waste of computing resources and the low detection efficiency are as follows: through the neural network detection, the requirement on the quality of a training sample is high, so the image processing process is complex, the calculation resources are wasted, the detection speed is low, a large number of detectors are required for on-site detection on roads in the manual detection, and the efficiency is low. Based on this, according to the method for sending the early warning information of the road crack of some embodiments of the present disclosure, first, a road pavement depth map and position information when the road pavement depth map is shot are obtained. And then, carrying out image processing on the road pavement depth map to obtain the road pavement depth map after image processing as a target road pavement depth map. Therefore, the practicability of the road pavement depth map is increased. And secondly, generating road pavement scoring information corresponding to the target road pavement depth map according to the depth value corresponding to each pixel point in the target road pavement depth map. The road surface scoring information comprises a road crack scoring value. Therefore, the cracks of the road surface can be detected according to the depth value, complex processing on the image is not needed, computing resources are saved, and the detection speed is improved. And then, generating the road pavement grade information corresponding to the target road pavement depth map according to the road crack score value. Wherein the road surface grade information includes a road crack grade. And then, generating road crack early warning information according to the road crack grade and the position information. Therefore, the highway crack early warning information is automatically generated. And finally, sending the highway crack early warning information to target terminal equipment, so that the target terminal equipment displays the highway crack early warning information. Therefore, the early warning information of the road cracks can be directly sent to the working personnel through the target terminal device, so that the working personnel can quickly and timely master the road surface information of the road, and the automatic detection of the road surface cracks is realized. Therefore, computing resources can be saved, the detection speed is improved, manual detection is not needed, the highway crack early warning information is automatically generated, and the highway crack detection efficiency is improved.
With further reference to fig. 2, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a road crack warning information transmitting device, which correspond to those shown in fig. 1, and which can be applied in various electronic devices.
As shown in fig. 2, the road crack warning information transmitting apparatus 200 of some embodiments includes: an acquisition unit 201, a processing unit 202, a first generation unit 203, a second generation unit 204, a third generation unit 205, and a transmission unit 206. The acquiring unit 201 is configured to acquire a road surface depth map and position information when the road surface depth map is captured; the processing unit 202 is configured to perform image processing on the road surface depth map to obtain an image-processed road surface depth map as a target road surface depth map; the first generating unit 203 is configured to generate road surface score information corresponding to the target road surface depth map according to depth values corresponding to respective pixel points in the target road surface depth map, wherein the road surface score information includes a road crack score value; the second generating unit 204 is configured to generate road surface grade information corresponding to the target road surface depth map according to the road crack score value, wherein the road surface grade information includes a road crack grade; the third generating unit 205 is configured to generate road crack warning information according to the road crack grade and the position information; the transmitting unit 206 is configured to transmit the road crack warning information to a target terminal device, so that the target terminal device displays the road crack warning information.
It will be understood that the units described in the apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 200 and the units included therein, and are not described herein again.
Referring now to FIG. 3, shown is a schematic block diagram of an electronic device (e.g., computing device) 300 suitable for use in implementing some embodiments of the present disclosure. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a highway pavement depth map and position information when the highway pavement depth map is shot; carrying out image processing on the road pavement depth map to obtain a road pavement depth map after image processing as a target road pavement depth map; generating road surface scoring information corresponding to the target road surface depth map according to the depth value corresponding to each pixel point in the target road surface depth map, wherein the road surface scoring information comprises a road crack scoring value; generating road surface grade information corresponding to the target road surface depth map according to the road crack score value, wherein the road surface grade information comprises a road crack grade; generating highway crack early warning information according to the highway crack grades and the position information; and sending the highway crack early warning information to target terminal equipment, so that the target terminal equipment displays the highway crack early warning information.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a processing unit, a first generation unit, a second generation unit, a third generation unit, and a transmission unit. The names of these units do not in some cases constitute a limitation on the unit itself, and for example, the acquisition unit may also be described as a "unit that acquires a road surface depth map and position information when the road surface depth map is captured".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
Some embodiments of the present disclosure also provide a computer program product comprising a computer program that, when executed by a processor, implements any one of the above-described road crack warning information transmission methods.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims (9)

1. A method for sending early warning information of a road crack comprises the following steps:
acquiring a highway pavement depth map and position information when the highway pavement depth map is shot;
carrying out image processing on the road pavement depth map to obtain a road pavement depth map after image processing as a target road pavement depth map;
generating road surface grading information corresponding to the target road surface depth map according to the depth value corresponding to each pixel point in the target road surface depth map, wherein the road surface grading information comprises a road crack grading value;
generating road surface grade information corresponding to the target road surface depth map according to the road crack score value, wherein the road surface grade information comprises a road crack grade;
generating highway crack early warning information according to the highway crack grades and the position information;
and sending the highway crack early warning information to target terminal equipment, so that the target terminal equipment displays the highway crack early warning information.
2. The method of claim 1, wherein the image processing the road surface depth map to obtain an image-processed road surface depth map as a target road surface depth map comprises:
performing noise reduction treatment on the road surface depth map to obtain a noise-reduced road surface depth map serving as a noise-reduced road surface depth map;
and performing enhancement processing on the noise-reduction road surface depth map to obtain the enhanced noise-reduction road surface depth map serving as a target road surface depth map.
3. The method of claim 2, wherein the generating road surface score information corresponding to the target road surface depth map according to the depth value corresponding to each pixel point in the target road surface depth map comprises:
selecting pixel points meeting target conditions from the target highway pavement depth map as crack pixel points to obtain a crack pixel point set, wherein the target conditions are that the depth values corresponding to the pixel points are larger than a preset threshold value;
for each crack pixel point in the crack pixel point set, selecting the depth value corresponding to the crack pixel point from the depth values corresponding to the pixel points as a crack depth value;
for each crack pixel point in the crack pixel point set, generating a pixel point crack score value corresponding to the crack pixel point according to the preset threshold and the crack depth value corresponding to the crack pixel point;
generating a road crack score value according to the generated crack score value of each pixel point;
and generating the road surface scoring information according to the road crack scoring value.
4. The method of claim 3, wherein the generating of the road surface grade information corresponding to the target road surface depth map according to the road crack score value comprises:
selecting preset road crack grade information which comprises a preset road crack score value range and is matched with the road crack score value from a preset road crack grade information set as target road crack grade information, wherein the preset road crack grade information in the preset road crack grade information set comprises the preset road crack score value range and a preset road crack grade, and all the preset road crack score value ranges in the preset road crack grade information set are continuous and uninterrupted;
determining a preset road crack grade included in the target road crack grade information as a road crack grade;
and generating road surface grade information according to the road crack grade.
5. The method of claim 4, wherein the generating of the crack score value of the pixel point corresponding to the crack pixel point according to the preset threshold and the crack depth value corresponding to the crack pixel point comprises:
determining the difference value between the crack depth value and the preset threshold value as a first target value;
determining a product of the first target value and a preset coefficient as a second target value;
and generating a pixel point crack score value corresponding to the crack pixel point according to the second target value.
6. A road crack early warning information sending device comprises:
an acquisition unit configured to acquire a road surface depth map and position information when the road surface depth map is photographed;
the processing unit is configured to perform image processing on the road pavement depth map to obtain the road pavement depth map after image processing as a target road pavement depth map;
a first generating unit configured to generate road surface scoring information corresponding to the target road surface depth map according to depth values corresponding to respective pixel points in the target road surface depth map, wherein the road surface scoring information includes a road crack scoring value;
a second generation unit configured to generate road surface grade information corresponding to the target road surface depth map according to the road crack score value, wherein the road surface grade information includes a road crack grade;
a third generating unit configured to generate road crack warning information according to the road crack grade and the position information;
a transmitting unit configured to transmit the road crack warning information to a target terminal device so that the target terminal device displays the road crack warning information.
7. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
8. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.
9. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-5.
CN202210717675.2A 2022-06-23 2022-06-23 Method, device, equipment, medium and product for sending early warning information of highway cracks Pending CN115049624A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210717675.2A CN115049624A (en) 2022-06-23 2022-06-23 Method, device, equipment, medium and product for sending early warning information of highway cracks

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210717675.2A CN115049624A (en) 2022-06-23 2022-06-23 Method, device, equipment, medium and product for sending early warning information of highway cracks

Publications (1)

Publication Number Publication Date
CN115049624A true CN115049624A (en) 2022-09-13

Family

ID=83163270

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210717675.2A Pending CN115049624A (en) 2022-06-23 2022-06-23 Method, device, equipment, medium and product for sending early warning information of highway cracks

Country Status (1)

Country Link
CN (1) CN115049624A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117197412A (en) * 2023-10-09 2023-12-08 西安大地测绘股份有限公司 AR-based intelligent highway disease inspection system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117197412A (en) * 2023-10-09 2023-12-08 西安大地测绘股份有限公司 AR-based intelligent highway disease inspection system and method
CN117197412B (en) * 2023-10-09 2024-04-05 西安大地测绘股份有限公司 AR-based intelligent highway disease inspection system and method

Similar Documents

Publication Publication Date Title
CN108830837B (en) Method and device for detecting steel ladle corrosion defect
JP6644800B2 (en) Determination of area to be superimposed with image, image superimposition, image display method and apparatus
CN109799550B (en) Method and device for predicting rainfall intensity
CN111784712B (en) Image processing method, device, equipment and computer readable medium
CN113607185B (en) Lane line information display method, lane line information display device, electronic device, and computer-readable medium
CN115326099B (en) Local path planning method and device, electronic equipment and computer readable medium
CN110704491B (en) Data query method and device
CN110689804A (en) Method and apparatus for outputting information
CN112150490A (en) Image detection method, image detection device, electronic equipment and computer readable medium
CN115049624A (en) Method, device, equipment, medium and product for sending early warning information of highway cracks
CN112257582A (en) Foot posture determination method, device, equipment and computer readable medium
CN114708545A (en) Image-based object detection method, device, equipment and storage medium
CN110646002B (en) Method and apparatus for processing information
CN111586295B (en) Image generation method and device and electronic equipment
CN111965383B (en) Vehicle speed information generation method and device, electronic equipment and computer readable medium
CN112232326A (en) Driving information generation method and device, electronic equipment and computer readable medium
CN111862081A (en) Image scoring method, and training method and device of score prediction network
CN115273012A (en) Dotted lane line identification method and device, electronic equipment and computer readable medium
CN115359391A (en) Inspection image detection method, inspection image detection device, electronic device and medium
CN113255290A (en) Electric power project information display method, equipment and computer readable medium
CN113627364B (en) Road information display system, method, electronic device, and computer-readable medium
CN111835917A (en) Method, device and equipment for showing activity range and computer readable medium
CN110991312A (en) Method, apparatus, electronic device, and medium for generating detection information
CN114185908B (en) Map data processing method and device, electronic equipment and storage medium
CN113642972B (en) Method, device and equipment for sending alarm prompt information and computer readable medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination