CN113160022A - Municipal bridge maintenance management system, method and equipment and readable storage medium - Google Patents

Municipal bridge maintenance management system, method and equipment and readable storage medium Download PDF

Info

Publication number
CN113160022A
CN113160022A CN202110456599.XA CN202110456599A CN113160022A CN 113160022 A CN113160022 A CN 113160022A CN 202110456599 A CN202110456599 A CN 202110456599A CN 113160022 A CN113160022 A CN 113160022A
Authority
CN
China
Prior art keywords
bridge
module
maintenance management
image
comparison result
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
CN202110456599.XA
Other languages
Chinese (zh)
Inventor
林裕平
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.)
Guangdong Tianhao Construction Engineering Co ltd
Original Assignee
Guangdong Tianhao Construction Engineering 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 Guangdong Tianhao Construction Engineering Co ltd filed Critical Guangdong Tianhao Construction Engineering Co ltd
Priority to CN202110456599.XA priority Critical patent/CN113160022A/en
Publication of CN113160022A publication Critical patent/CN113160022A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • 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

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • General Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to the technical field of bridge maintenance management, in particular to a municipal bridge maintenance management system, a method, equipment and a readable storage medium, wherein the system comprises an inspection module, a storage module and a management module, wherein the inspection module is used for periodically inspecting a bridge, and acquiring and uploading environmental parameters and bridge structure performance parameter information in the environment where the bridge is located; the storage module is connected with the patrol module and used for receiving and storing the uploaded data information; the comparison module runs in the storage module and is used for comparing the stored data information with preset conditions to obtain a comparison result and judging the safety performance of the bridge according to the comparison result; and the early warning module is connected with the comparison module and used for early warning when the safety performance of the bridge possibly goes wrong based on the comparison result. The problems that the existing bridge maintenance management mode has high requirements on the quality of workers, high labor cost and difficulty in popularization and promotion are solved. This application has the human cost who reduces bridge maintenance management and does benefit to the effect of popularization and promotion.

Description

Municipal bridge maintenance management system, method and equipment and readable storage medium
Technical Field
The invention relates to the technical field of bridge maintenance management, in particular to a municipal bridge maintenance management system, method, equipment and a readable storage medium.
Background
The municipal bridge is an important component in a modern transportation network and plays an important role in transportation.
At present, with the rapid development of market economy in China, the development of the transportation industry is also rapidly advanced, and further more transportation vehicles in municipal administration are developed towards heavy and large-scale, so that municipal bridges bear huge pressure, and the maintenance and management work of the bridges is quite heavy. Moreover, if the municipal bridge cannot be maintained and managed in time, the development of the transportation industry and the life and property safety of people can be affected.
The conventional bridge maintenance management operation is to regularly check the bridge deck system, load limit signs, traffic signs, other auxiliary facilities, structural variation conditions, bridge and bridge area construction operation conditions of the urban bridge according to the inspection frequency specified by the standard. The operation is usually performed by a trained full-time bridge manager or an engineering technician with certain practical experience, and the inspection is mainly performed on structural variation, the construction operation conditions of the bridge and a bridge area thereof, and the appearance conditions of a bridge deck system, traffic signs, load limit signs, other accessory facilities and the like, and after the inspection is completed, an inspection report is filled in a field and is filed so as to find the problems of diseases and defects at any time and perform targeted maintenance.
In view of the above-mentioned related technologies, the applicant believes that there are defects that the existing bridge maintenance management mode is checked by means of manual experience, the requirement on the quality of workers is high, the labor cost is high, and popularization is difficult.
Disclosure of Invention
In order to reduce the labor cost of bridge maintenance management and better popularize and promote bridge maintenance management, the application provides a municipal bridge maintenance management system, a method, equipment and a readable storage medium.
First aspect, this application provides municipal bridge maintenance management system, has the human cost who reduces bridge maintenance management, popularizes the characteristics of bridge maintenance management better.
The application is realized by the following technical scheme:
a municipal bridge maintenance management system comprises a bridge maintenance management system,
the inspection module is used for periodically inspecting the bridge, acquiring and uploading environmental parameters and bridge structure performance parameter information in the environment where the bridge is located;
the storage module is connected with the patrol module and used for receiving and storing the uploaded data information;
the comparison module runs in the storage module and is used for comparing the stored data information with preset conditions to obtain a comparison result and judging the safety performance of the bridge according to the comparison result;
and the early warning module is connected with the comparison module and used for early warning when the safety performance of the bridge possibly goes wrong based on the comparison result.
By adopting the technical scheme, the inspection module regularly inspects the bridge, so that the workload of manual inspection is reduced, and the information of the environmental parameters and the structural performance parameters of the bridge in the environment where the bridge is located is obtained and uploaded to be used as a data base for municipal bridge maintenance management; the storage module receives and stores the data information uploaded by the patrol module, backups the data information and is beneficial to subsequent data processing and analysis work; the comparison module compares the data information in the storage module with preset conditions to obtain a comparison result, and judges the safety performance of the bridge according to the comparison result, so that the workload of full-time bridge managers or engineering technicians is reduced, and the quality requirement of workers engaged in bridge maintenance management is lowered; the early warning module carries out early warning when the safety performance of the bridge possibly has problems based on the comparison result so as to remind workers to check and take solution measures in time, and the detection is intelligent; and then municipal administration bridge maintenance management system has reduced the human cost of bridge maintenance management, is favorable to popularizing and managing bridge maintenance better.
The present application may be further configured in a preferred example to: the bridge maintenance management system further comprises a learning module, the learning module is used for training and learning the stored data information, the comparison result and preset learning materials based on the storage module and the comparison module, and the bridge maintenance management experience is summarized and summarized.
Through adopting above-mentioned technical scheme, the study module trains the study to the data information of storage, comparative result and predetermine the learning information based on storage module and comparison module, sums up bridge maintenance management experience to the realization is judged and the suitability is stronger to the intellectuality of bridge security performance, has further alleviateed full-time bridge managers or engineering technical personnel's work burden, makes the quality requirement of the staff who undertakes bridge maintenance management reduce.
The present application may be further configured in a preferred example to: the inspection module comprises an unmanned aerial vehicle, and the unmanned aerial vehicle shoots a bridge field video in real time and uploads the bridge field video to the storage module;
the image processing module is connected to the storage module and used for acquiring the on-site bridge video to perform image scaling and image enhancement preprocessing and acquire on-site bridge images;
the image analysis module is connected with the processing module and used for carrying out image segmentation based on the bridge field image and calculating the analysis processing of various characteristic quantities to obtain an analysis result;
and the data acquisition module is connected with the image analysis module and used for detecting and acquiring the position information and the state attribute corresponding to various characteristic quantities based on the analysis result, creating a data list according to the various characteristic quantities and the position information and the state attribute corresponding to the characteristic quantities and uploading the data list to the storage module.
By adopting the technical scheme, the unmanned aerial vehicle shoots the on-site video of the bridge in real time and uploads the video to the storage module, so that dynamic data related to the municipal bridge can be acquired, the actual situation of the municipal bridge can be reflected more comprehensively, and the subsequent data analysis is more accurate; the image processing module acquires the on-site bridge video to perform image scaling and image enhancement preprocessing to acquire an image so as to make the image clear, thereby being beneficial to subsequent image analysis work; the image analysis module is used for carrying out image segmentation and calculating analysis processing of various characteristic quantities based on the image so as to carry out image identification, obtain the characteristic quantities in the image and further determine the collection category of the data collection module; the data acquisition module detects and acquires the position information and the state attribute corresponding to various characteristic quantities, and creates a data list and uploads the data list to the storage module according to various characteristic quantities and the position information and the state attribute corresponding to the characteristic quantities, so that the aim of automatically acquiring the actual data information of the bridge according to the image is fulfilled, the data of municipal bridge maintenance management is more comprehensive, and the safety performance of the bridge can be more accurately analyzed.
The present application may be further configured in a preferred example to: the image analysis module is connected with the image acquisition module, the image analysis module is used for analyzing the image data, and the data acquisition module is used for acquiring the image data.
By adopting the technical scheme, the confirmation module compares the analysis result with the preset database, judges whether the same data information exists in the database or not, and further determines whether the characteristic quantity in the image is the parameter category required for judging the safety performance of the bridge or not, so that the acquisition of the data acquisition module is more targeted, and the safety performance of the bridge can be analyzed more quickly.
In a second aspect, the application provides a municipal bridge maintenance management method, which has the characteristics of reducing the labor cost of bridge maintenance management and better popularizing and promoting the bridge maintenance management.
The application is realized by the following technical scheme:
the municipal bridge maintenance management method based on the municipal bridge maintenance management system comprises the following steps,
periodically inspecting the bridge, acquiring environmental parameters and bridge structure performance parameter information in the environment where the bridge is located, and uploading the information;
receiving and storing the uploaded data information;
comparing the stored data information with preset conditions to obtain a comparison result, and judging the safety performance of the bridge according to the comparison result;
and early warning is carried out when the safety performance of the bridge possibly has problems based on the comparison result.
By adopting the technical scheme, the bridge is regularly patrolled to obtain the environmental parameters and the bridge structure performance parameter information in the environment where the bridge is located, so that the manual patrol workload is reduced, and the data analysis of municipal bridge maintenance management is facilitated; receiving and storing the uploaded data information, and backing up the data information, so that subsequent data processing and analysis work is facilitated; the data information is compared with the preset conditions to obtain a comparison result, and the safety performance of the bridge is judged according to the comparison result, so that the workload of full-time bridge managers or engineering technicians is reduced, and the quality requirement of the staff engaged in bridge maintenance management is reduced; based on the comparison result, early warning is carried out when the safety performance of the bridge possibly has problems so as to remind workers to check and take solution measures in time, and the detection is intelligent; furthermore, the municipal bridge maintenance management method reduces the labor cost of bridge maintenance management, and is favorable for better popularization and promotion of bridge maintenance management.
The present application may be further configured in a preferred example to: before the step of early warning when the safety performance of the bridge possibly has problems based on the comparison result, training and learning are carried out on the stored data information, the comparison result and preset learning data, and bridge maintenance management experience is summarized;
detecting the uploaded data information based on the bridge maintenance management experience, and judging the safety performance of the bridge;
and when the safety performance of the bridge is detected and judged based on the bridge maintenance management experience, judging whether to perform early warning or not based on the comparison result.
By adopting the technical scheme, the stored data information, the comparison result and the preset learning data are trained and learned, and the bridge maintenance management experience is summarized and summarized, so that the intelligent judgment on the bridge safety performance is realized, the applicability is stronger, the workload of full-time bridge managers or engineering technicians is further reduced, and the quality requirement of the staff engaged in bridge maintenance management is reduced.
The present application may be further configured in a preferred example to: when the regular inspection of the bridge is executed, the environmental parameters and the bridge structure performance parameter information in the environment where the bridge is located are obtained and uploaded,
shooting a bridge field video in real time and uploading the video;
carrying out image scaling and image enhancement preprocessing on the bridge site video to obtain a bridge site image;
carrying out image segmentation and calculating analysis processing of various characteristic quantities based on the bridge field image to obtain an analysis result;
and detecting and acquiring position information and state attributes corresponding to various characteristic quantities based on the analysis result, and creating and uploading a data list according to various characteristic quantities and the position information and the state attributes corresponding to the characteristic quantities.
By adopting the technical scheme, the on-site bridge video is shot in real time and uploaded to the storage module, so that dynamic data related to the municipal bridge can be acquired, the actual situation of the municipal bridge can be reflected more comprehensively, and the subsequent data analysis is more accurate; the method comprises the steps of obtaining a bridge site video, carrying out image scaling and image enhancement preprocessing, and obtaining an image so as to enable the image to be clear, thereby being beneficial to subsequent image analysis work; carrying out image segmentation based on the image and calculating analysis processing of various characteristic quantities so as to carry out image recognition, obtain the characteristic quantities in the image and further determine the data acquisition category; the method comprises the steps of detecting and acquiring position information and state attributes corresponding to various characteristic quantities, creating a data list and uploading the data list according to the various characteristic quantities and the position information and the state attributes corresponding to the characteristic quantities, so that the aim of automatically acquiring actual data information of the bridge according to images is fulfilled, the municipal bridge maintenance management data are more comprehensive, and the safety performance of the bridge can be more accurately analyzed.
The present application may be further configured in a preferred example to: the step of detecting and acquiring the position information and the state attribute corresponding to various characteristic quantities based on the analysis result is executed, and the method further comprises,
comparing the analysis result with a preset database, and judging whether the same data information exists in the database;
and when the same data information exists in the database, detecting and acquiring the position information and the state attribute corresponding to various characteristic quantities based on the analysis result.
By adopting the technical scheme, the analysis result is compared with the preset database, whether the same data information exists in the database is judged, and whether the characteristic quantity in the image is the parameter category required for judging the safety performance of the bridge is further determined, so that the data acquisition is more targeted, and the safety performance of the bridge can be analyzed more quickly.
The third aspect, this application provides a computer equipment, has the human cost who reduces bridge maintenance management, popularizes the characteristics of bridge maintenance management better.
The application is realized by the following technical scheme:
a computer device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the municipal bridge maintenance management method.
In a fourth aspect, the present application provides a computer-readable storage medium, which has the characteristics of reducing the labor cost of bridge maintenance management and better popularizing and promoting bridge maintenance management.
The application is realized by the following technical scheme:
a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above-described municipal bridge maintenance management method.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the safety performance of the bridge is automatically judged, early warning is carried out when the safety performance of the bridge is possibly in a problem, so that workers are reminded to check and take solving measures in time, the work burden of full-time bridge managers or engineering technicians is reduced, the quality requirement of the workers engaged in bridge maintenance management is reduced, the labor cost of bridge maintenance management is reduced, and the popularization of the bridge maintenance management is facilitated;
2. training and learning the stored data information, the comparison result and preset learning data, and summarizing the bridge maintenance management experience to realize intelligent judgment on the safety performance of the bridge and have stronger applicability;
3. the method has the advantages that the actual data information of the bridge is automatically acquired according to the on-site video of the bridge, so that the data of municipal bridge maintenance management is more comprehensive, and the safety performance of the bridge can be more accurately analyzed;
4. before data acquisition is carried out according to the bridge site video, whether the characteristic quantity in the image is a parameter category required for judging the safety performance of the bridge is further determined, so that the data acquisition is more targeted, and the safety performance of the bridge can be analyzed more quickly.
Drawings
FIG. 1 is a block diagram of a municipal bridge maintenance management system according to an embodiment of the present application.
FIG. 2 is a schematic flow chart of a municipal bridge maintenance management method according to an embodiment of the present application.
Fig. 3 is a schematic flow chart of the unmanned aerial vehicle acquiring data information uploading.
Detailed Description
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
Referring to fig. 1, the embodiment of the application provides a municipal bridge maintenance management system, which comprises the following modules.
And the inspection module is used for periodically inspecting the bridge, acquiring and uploading environmental parameters and bridge structure performance parameter information in the environment where the bridge is located.
And the storage module is connected with the patrol module and used for receiving and storing the uploaded data information.
And the comparison module runs in the storage module and is used for comparing the stored data information with preset conditions to obtain a comparison result and judging the safety performance of the bridge according to the comparison result.
And the early warning module is connected with the comparison module and used for early warning when the safety performance of the bridge possibly goes wrong based on the comparison result.
Specifically, the patrol module comprises an environmental parameter detection element, a bridge structure performance parameter detection element and an unmanned aerial vehicle. The environmental parameters comprise wind speed, wind direction, temperature and humidity of the position of the bridge. The bridge structure performance parameters comprise earth surface vibration frequency, bridge deck vibration frequency, impact quantity parameters, pier inclination angle parameters, static positions, dynamic positions, displacement parameters, pier settlement amplitude parameters, and mechanical admittance and modal parameters of an iron cable.
The storage module can be a cloud server, and the environmental parameter detection element, the bridge structure performance parameter detection element and the unmanned aerial vehicle are all in communication connection with the cloud server.
In this embodiment, the environmental parameter detecting element includes a wind speed sensor, a wind direction sensor, a temperature sensor, and a humidity sensor. And the wind speed sensor and the wind direction sensor are used for acquiring wind speed and wind direction parameters of the position of the bridge. The temperature sensor and the humidity sensor are used for acquiring temperature and humidity parameters of the position of the bridge.
The bridge structure performance parameter detection element comprises a vibration frequency sensor, an inclinometer, a displacement sensor, a settlement amplitude sensor and a cable force sensor. The vibration frequency sensor is used for acquiring the vibration frequency of the ground surface at the position of the bridge, the vibration frequency of the bridge deck and the parameters of the impact quantity. The inclinometer is used for acquiring inclination angle parameters of the bridge pier. The displacement sensor is used for acquiring the static position, the dynamic position and the displacement parameters of the pier. The settlement amplitude sensor can be used for collecting settlement amplitude parameters of the bridge pier. The cable force sensor is used for acquiring mechanical admittance and modal parameters of the iron cable.
The municipal bridge is regularly inspected through the environmental parameter detection element and the bridge structure performance parameter detection element, and the specific inspection time is set according to manual experience and the actual maintenance requirement of the municipal bridge. For example, when natural disasters such as flood, earthquake, rain, snow, wind and sand, and abnormal conditions that may cause great damage to bridges and culverts and their affiliated facilities occur, the inspection effort is increased, and the conditions are discovered and reported. The environment parameter detection element and the bridge structure performance parameter detection element acquire environment parameters and bridge structure performance parameter information in the environment where the bridge is located and upload the information to the cloud server for storage and backup.
When the environmental parameter detection element and the bridge structure performance parameter detection element are patrolled and examined, the unmanned aerial vehicle shoots a bridge field video in real time and uploads the bridge field video to the cloud server for storage and backup. The 3D high definition digtal camera with the help of unmanned aerial vehicle shoots the on-the-spot video of municipal bridge in real time to acquire dynamic data, reflect the actual conditions of municipal bridge more comprehensively.
The comparison module is a comparison program running in the cloud server, the comparison program compares the data information stored by the cloud server with preset conditions to obtain a comparison result, and the safety performance of the bridge is judged according to the comparison result.
The data information stored by the cloud server is the environmental parameters and the bridge structure performance parameter information in the environment where the bridge is located.
The preset conditions are an environmental parameter reference value and a bridge structure performance parameter reference value which are preset according to human experience and the actual maintenance requirement of the municipal bridge and are stored in the cloud server.
And comparing the environmental parameter and the bridge structure performance parameter information in the environment where the bridge is located with the corresponding environmental parameter reference value and the corresponding bridge structure performance parameter reference value respectively to obtain a comparison result. When any parameter information of the environmental parameters and the bridge structure performance parameter information in the environment where the bridge is located is out of the range of the environmental parameter reference value or the bridge structure performance parameter reference value, namely the environmental parameters or the bridge structure performance parameter information in the environment where the bridge is located do not meet the preset condition, the safety performance of the bridge is judged to possibly have a problem based on the comparison result.
The early warning module includes the pilot lamp, the output and the pilot lamp communication of cloud server are connected, the pilot lamp is when the security performance of bridge probably goes wrong, receive the signal of telecommunication and the scintillation early warning of cloud server output, in order to remind the staff in time to look over and take solution measures, full-time bridge managers or engineering technical personnel's work burden has been alleviateed, make the quality requirement of the staff who engages in bridge maintenance management reduce, the human cost of bridge maintenance management has been reduced, be favorable to popularizing bridge maintenance management better.
The municipal bridge maintenance management system further comprises a learning module, and various detection and maintenance operation specifications of the bridge are stored in the learning module in advance and serve as preset learning materials. For example, bridge culvert maintenance codes: 1) cleaning sludge, accumulated snow and impurities, and keeping the bridge floor clean; 2) dredging culvert pipes and dredging river channel sludge under bridges; 3) maintaining the expansion joint, dredging the drain hole, adding lubricating oil into the steel support and painting the railing. Repairing and standardizing bridge culverts: 1) repairing and replacing the railing and local damage, repairing a drain hole, an expansion joint and the like; 2) repairing tiny damages of bridge floor, pier, platform, riverbed bottom and river channel protection masonry in time; 3) and repairing and lengthening the inlet and the outlet of the culvert and paving and reinforcing the inlet and the outlet of the culvert. In the flood season stage, bridge deck drainage hole blocking, culvert silting up, side ditch drainage is not smooth, riverbed siltation is cleared up in time and is dredged and consolidated in time, damaged parts of bridges and culverts are found in time and are maintained in time, the highway safety is guaranteed to be smooth, and bridge culvert maintenance and bridge culvert minor repair are frequently carried out to keep the safety of bridges.
Meanwhile, the learning module is in communication connection with the cloud server, and downloads the environmental parameters and the bridge structure performance parameter information in the environment where the bridge is located, the corresponding environmental parameter reference values and the bridge structure performance parameter reference values and the corresponding comparison results from the cloud server. And the environmental parameter and the bridge structure performance parameter information in the environment where the bridge is located, the corresponding environmental parameter reference value and the bridge structure performance parameter reference value are stored data information. The learning module is used for training and learning the stored data information, the comparison result and preset learning data, and summarizing the bridge maintenance management experience.
Specifically, the learning module is based on a general convolutional neural network model, samples are labeled on stored data information, comparison results and preset learning materials, the labeled samples are used for training the general neural network model, bridge maintenance management experience is summarized and summarized, and finally the municipal bridge safety performance detection model is obtained. The municipal bridge safety performance detection model is used for learning based on spatial data organized and stored according to a certain mode and carrying out 3D modeling on bridge entities, so that visual expression and spatial analysis of the bridge entities are realized.
And detecting the environmental parameters and the bridge structure performance parameter information in the environment where the bridge is located, which are downloaded from the cloud server, based on the municipal bridge safety performance detection model, and automatically judging the safety performance of the bridge. Based on the environmental parameters in the environment where the bridge is located and the bridge structure performance parameter information, the municipal bridge safety performance detection model outputs a certain numerical value. When the output result of the municipal bridge safety performance detection model is equal to or greater than the preset value, the municipal bridge is judged to have the safety performance problem, whether the pilot lamp flicker early warning is controlled or not is judged based on the comparison result of the comparison module at the moment, so that the intelligent judgment on the bridge safety performance is realized, the applicability is stronger, the workload of full-time bridge managers or engineering technicians is further reduced, and the quality requirement of workers engaged in bridge maintenance management is reduced.
Further, the cloud server is also in communication connection with an image processing module, an image analysis module, a confirmation module and a data acquisition module. The image processing module, the image analysis module, the confirmation module and the data acquisition module run in the background and display the running result on the background.
The image processing module is used for acquiring the on-site bridge video to perform image scaling and image enhancement preprocessing and acquire the on-site bridge image. Specifically, the image scaling and image enhancement preprocessing is to scale the original image by adopting an interpolation method to enlarge the original image and an hq2x algorithm to balance smoothness and definition of the image, so that the original image becomes clear, and then to enhance the image by a space domain algorithm or a frequency domain algorithm, so that an unclear part in the original image becomes clear, thereby obtaining a bridge field image, and being beneficial to subsequent image analysis.
And the image analysis module is connected with the image processing module and used for carrying out image segmentation and calculating the analysis processing of various characteristic quantities based on the bridge field image so as to determine the characteristic quantities contained in the bridge field image, wherein the characteristic quantities contained in the bridge field image are analysis results. Specifically, the image segmentation algorithm based on edge detection segments the bridge field image, the gray value of pixels on the boundaries of different regions changes dramatically, if the image is transformed from a space domain to a frequency domain through Fourier transform, the edges correspond to high frequency parts, and the bridge field image is segmented by detecting the edges containing different regions. And then, the shape parameters of various characteristic quantities in the bridge field image are obtained through the description of the boundary characteristics, and various characteristic quantities of the bridge field image are obtained.
And the confirming module is connected with the image analysis module and used for comparing the analysis result with a preset database and judging whether the same data information exists in the database or not. The preset database is a database which stores parameters related to the safety performance of the municipal bridge and a corresponding safety value range, the analysis result is compared with the preset database, whether the analysis result exists in the preset database or not is matched, namely, the analysis result is an entity which accords with a certain type of characteristic value set, so that whether the characteristic quantity in the image is a parameter category required for judging the safety performance of the bridge or not is further determined, the data acquisition is more targeted, and the safety performance of the bridge is analyzed more quickly.
And the data acquisition module is connected with the confirmation module and used for detecting and acquiring the 3D coordinate position information and the actual state attribute corresponding to various characteristic quantities based on the analysis result when the same data information exists in the database, creating a data list according to the various characteristic quantities and the corresponding position information and state attribute thereof and uploading the data list to the storage module to become a part of the stored data information, so that the acquired municipal bridge maintenance management data is more comprehensive, and the comparison module and the learning module are favorable for more accurately analyzing the safety performance of the bridge.
All or part of each module in the municipal bridge maintenance management system can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Referring to fig. 2, an embodiment of the present application further provides a municipal bridge maintenance management method, where the municipal bridge maintenance management method corresponds to the municipal bridge maintenance management system in the foregoing embodiment one to one. The main steps of the method are described below.
And regularly inspecting the bridge, and acquiring and uploading environmental parameters and bridge structure performance parameter information in the environment where the bridge is located.
And receiving and storing the uploaded data information.
And comparing the stored data information with preset conditions to obtain a comparison result, and judging the safety performance of the bridge according to the comparison result.
And early warning is carried out when the safety performance of the bridge possibly goes wrong based on the comparison result.
And training and learning the stored data information, the comparison result and preset learning data before the step of early warning when the safety performance of the bridge possibly goes wrong based on the comparison result, and summarizing the maintenance management experience of the bridge.
And detecting the uploaded data information based on the bridge maintenance management experience, and judging the safety performance of the bridge.
And when the safety performance of the bridge is detected and judged based on the bridge maintenance management experience, judging whether to perform early warning or not based on the comparison result.
Referring to fig. 3, further, while the steps of periodically inspecting the bridge, acquiring environmental parameters and bridge structure performance parameter information in the environment where the bridge is located and uploading the information are performed, the on-site video of the bridge is shot in real time and uploaded.
And carrying out image scaling and image enhancement preprocessing on the bridge site video to obtain a bridge site image.
And carrying out image segmentation based on the bridge field image and calculating analysis processing of various characteristic quantities to obtain an analysis result.
And based on the analysis result, detecting and acquiring the position information and the state attribute corresponding to the various characteristic quantities, and creating and uploading a data list according to the various characteristic quantities and the position information and the state attribute corresponding to the various characteristic quantities.
And when the step of detecting and acquiring the position information and the state attribute corresponding to various characteristic quantities based on the analysis result is executed, the step of comparing the analysis result with a preset database and judging whether the same data information exists in the database or not.
When the same data information exists in the database, the position information and the state attribute corresponding to various characteristic quantities are detected and acquired based on the analysis result.
For specific limitations of the municipal bridge maintenance management method, reference may be made to the above limitations of the municipal bridge maintenance management system, which are not described herein again. It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In one embodiment of the present application, a computer device is provided, which may be a server. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing the face images of resident persons and the trained area resident target recognition model. The network interface of the computer device is used for communicating with an external terminal through a network connection. When being executed by a processor, the computer program realizes the municipal bridge maintenance management method, and concretely realizes the following steps:
and regularly inspecting the bridge, and acquiring and uploading environmental parameters and bridge structure performance parameter information in the environment where the bridge is located.
And receiving and storing the uploaded data information.
And comparing the stored data information with preset conditions to obtain a comparison result, and judging the safety performance of the bridge according to the comparison result.
And early warning is carried out when the safety performance of the bridge possibly goes wrong based on the comparison result.
In one embodiment of the present application, a computer-readable storage medium is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
and regularly inspecting the bridge, and acquiring and uploading environmental parameters and bridge structure performance parameter information in the environment where the bridge is located.
And receiving and storing the uploaded data information.
And comparing the stored data information with preset conditions to obtain a comparison result, and judging the safety performance of the bridge according to the comparison result.
And early warning is carried out when the safety performance of the bridge possibly goes wrong based on the comparison result.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions.

Claims (10)

1. The municipal bridge maintenance management system is characterized by comprising,
the inspection module is used for periodically inspecting the bridge, acquiring and uploading environmental parameters and bridge structure performance parameter information in the environment where the bridge is located;
the storage module is connected with the patrol module and used for receiving and storing the uploaded data information;
the comparison module runs in the storage module and is used for comparing the stored data information with preset conditions to obtain a comparison result and judging the safety performance of the bridge according to the comparison result;
and the early warning module is connected with the comparison module and used for early warning when the safety performance of the bridge possibly goes wrong based on the comparison result.
2. The municipal bridge maintenance management system according to claim 1, further comprising a learning module, wherein the learning module performs training and learning on the stored data information, the comparison result and preset learning data based on the storage module and the comparison module, and summarizes the bridge maintenance management experience.
3. The municipal bridge maintenance management system according to any one of claims 1-2, wherein the patrol module comprises a drone, the drone filming bridge site video in real time and uploading to the storage module;
the image processing module is connected to the storage module and used for acquiring the on-site bridge video to perform image scaling and image enhancement preprocessing and acquire on-site bridge images;
the image analysis module is connected with the processing module and used for carrying out image segmentation based on the bridge field image and calculating the analysis processing of various characteristic quantities to obtain an analysis result;
and the data acquisition module is connected with the image analysis module and used for detecting and acquiring the position information and the state attribute corresponding to various characteristic quantities based on the analysis result, creating a data list according to the various characteristic quantities and the position information and the state attribute corresponding to the characteristic quantities and uploading the data list to the storage module.
4. The municipal bridge maintenance management system according to claim 3, further comprising a confirmation module, wherein the confirmation module is connected between the image analysis module and the data acquisition module, and the confirmation module is configured to compare the analysis results with a preset database and determine whether the same data information exists in the database.
5. The municipal bridge maintenance management method is characterized by comprising the following steps,
periodically inspecting the bridge, acquiring environmental parameters and bridge structure performance parameter information in the environment where the bridge is located, and uploading the information;
receiving and storing the uploaded data information;
comparing the stored data information with preset conditions to obtain a comparison result, and judging the safety performance of the bridge according to the comparison result;
and early warning is carried out when the safety performance of the bridge possibly has problems based on the comparison result.
6. The municipal bridge maintenance management method according to claim 5, wherein before the step of performing early warning when the safety performance of the bridge may be in problem based on the comparison result, the stored data information, the comparison result and preset learning data are trained and learned, and bridge maintenance management experience is summarized;
detecting the uploaded data information based on the bridge maintenance management experience, and judging the safety performance of the bridge;
and when the safety performance of the bridge is detected and judged based on the bridge maintenance management experience, judging whether to perform early warning or not based on the comparison result.
7. The municipal bridge maintenance management method according to claim 5, wherein, while the steps of periodically inspecting the bridge, obtaining the environmental parameters and the bridge structure performance parameter information in the environment in which the bridge is located and uploading the information are performed,
shooting a bridge field video in real time and uploading the video;
carrying out image scaling and image enhancement preprocessing on the bridge site video to obtain a bridge site image;
carrying out image segmentation and calculating analysis processing of various characteristic quantities based on the bridge field image to obtain an analysis result;
and detecting and acquiring position information and state attributes corresponding to various characteristic quantities based on the analysis result, and creating and uploading a data list according to various characteristic quantities and the position information and the state attributes corresponding to the characteristic quantities.
8. The municipal bridge maintenance management method according to claim 7, wherein the step of detecting and acquiring position information and status attributes corresponding to various characteristic quantities based on the analysis result is performed, further comprising,
comparing the analysis result with a preset database, and judging whether the same data information exists in the database;
and when the same data information exists in the database, detecting and acquiring the position information and the state attribute corresponding to various characteristic quantities based on the analysis result.
9. A computer apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the municipal bridge maintenance management method of any of claims 5 to 8 when executing the computer program.
10. A computer readable storage medium storing a computer program which when executed by a processor implements the steps of the municipal bridge maintenance management method of any of claims 5 to 8.
CN202110456599.XA 2021-04-27 2021-04-27 Municipal bridge maintenance management system, method and equipment and readable storage medium Pending CN113160022A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110456599.XA CN113160022A (en) 2021-04-27 2021-04-27 Municipal bridge maintenance management system, method and equipment and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110456599.XA CN113160022A (en) 2021-04-27 2021-04-27 Municipal bridge maintenance management system, method and equipment and readable storage medium

Publications (1)

Publication Number Publication Date
CN113160022A true CN113160022A (en) 2021-07-23

Family

ID=76871013

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110456599.XA Pending CN113160022A (en) 2021-04-27 2021-04-27 Municipal bridge maintenance management system, method and equipment and readable storage medium

Country Status (1)

Country Link
CN (1) CN113160022A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115512098A (en) * 2022-09-26 2022-12-23 重庆大学 Electronic bridge inspection system and inspection method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106017556A (en) * 2016-05-20 2016-10-12 清华大学合肥公共安全研究院 Bridge safety operation monitoring and management system
CN108446838A (en) * 2018-03-08 2018-08-24 佛山科学技术学院 A kind of bridge safety supervision system based on big data
CN108534967A (en) * 2018-03-08 2018-09-14 佛山科学技术学院 Bridge safety supervision system based on sensor network
CN108965797A (en) * 2018-06-25 2018-12-07 珠海思诺锐创软件有限公司 A kind of preset point cruise bridge structure Visualized management system
CN112215805A (en) * 2020-09-22 2021-01-12 广州誉宸信息科技有限公司 Unmanned aerial vehicle inspection method and system for highway bridge slope maintenance

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106017556A (en) * 2016-05-20 2016-10-12 清华大学合肥公共安全研究院 Bridge safety operation monitoring and management system
CN108446838A (en) * 2018-03-08 2018-08-24 佛山科学技术学院 A kind of bridge safety supervision system based on big data
CN108534967A (en) * 2018-03-08 2018-09-14 佛山科学技术学院 Bridge safety supervision system based on sensor network
CN108965797A (en) * 2018-06-25 2018-12-07 珠海思诺锐创软件有限公司 A kind of preset point cruise bridge structure Visualized management system
CN112215805A (en) * 2020-09-22 2021-01-12 广州誉宸信息科技有限公司 Unmanned aerial vehicle inspection method and system for highway bridge slope maintenance

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115512098A (en) * 2022-09-26 2022-12-23 重庆大学 Electronic bridge inspection system and inspection method
CN115512098B (en) * 2022-09-26 2023-09-01 重庆大学 Bridge electronic inspection system and inspection method

Similar Documents

Publication Publication Date Title
CN109300126B (en) High-precision intelligent detection method for bridge diseases based on spatial positions
AU2020101011A4 (en) Method for identifying concrete cracks based on yolov3 deep learning model
Mandirola et al. Use of UAS for damage inspection and assessment of bridge infrastructures
Adhikari et al. Image-based retrieval of concrete crack properties for bridge inspection
Koo et al. Innovative method for assessment of underground sewer pipe condition
KR102112046B1 (en) Method for maintenance and safety diagnosis of facilities
US11605158B2 (en) System and method for early identification and monitoring of defects in transportation infrastructure
CN108140218B (en) Health degree determination device, health degree determination method, and health degree determination program
Guldur et al. Condition assessment of bridges using terrestrial laser scanners
CN113160022A (en) Municipal bridge maintenance management system, method and equipment and readable storage medium
CN112633722A (en) Vehicle-mounted road safety risk assessment system and method
CN115082849B (en) Intelligent template support safety monitoring method based on deep learning
WO2021076573A1 (en) Systems and methods for assessing infrastructure
CN114299457A (en) Accumulated water depth detection method and device
CN115186943A (en) Urban drainage waterlogging prediction modeling method and system and electronic equipment
CN114067103A (en) Intelligent pipeline third party damage identification method based on YOLOv3
CN111612336B (en) Oil and gas pipeline failure factor correction method based on big data
Rajab et al. Application of image processing to measure road distresses
CN117610375A (en) Bridge suspension casting construction digital twin method, device and equipment based on machine vision
CN111881566A (en) Landslide displacement detection method and device based on live-action simulation
Dirksen et al. The role of uncertainty in urban drainage decisions: uncertainty in inspection data and their impact on rehabilitation decisions
CN112541455B (en) Machine vision-based prediction method for reverse breaking accidents of distribution network concrete electric pole
CN115170783A (en) Expressway pavement crack detection method using street view image
CN113762020A (en) Highway road surface crack detecting system based on matrix structure degree of depth neural network
Fakhri et al. Application of UAV photogrammetry in obtaining qualitative road pavement information

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