CN117151423B - Water conservancy river construction management system and management method based on data analysis - Google Patents

Water conservancy river construction management system and management method based on data analysis Download PDF

Info

Publication number
CN117151423B
CN117151423B CN202311277230.8A CN202311277230A CN117151423B CN 117151423 B CN117151423 B CN 117151423B CN 202311277230 A CN202311277230 A CN 202311277230A CN 117151423 B CN117151423 B CN 117151423B
Authority
CN
China
Prior art keywords
construction
model
data
module
time
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.)
Active
Application number
CN202311277230.8A
Other languages
Chinese (zh)
Other versions
CN117151423A (en
Inventor
许龙祥
沈沛
周卫东
刘玉兰
郑义乔
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.)
Zaolinwan Water Conservancy Station In Yizheng City
Original Assignee
Zaolinwan Water Conservancy Station In Yizheng City
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 Zaolinwan Water Conservancy Station In Yizheng City filed Critical Zaolinwan Water Conservancy Station In Yizheng City
Priority to CN202311277230.8A priority Critical patent/CN117151423B/en
Publication of CN117151423A publication Critical patent/CN117151423A/en
Application granted granted Critical
Publication of CN117151423B publication Critical patent/CN117151423B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0835—Relationships between shipper or supplier and carriers
    • G06Q10/08355—Routing methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07—Target detection

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Primary Health Care (AREA)
  • Structural Engineering (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Civil Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Architecture (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)

Abstract

The application belongs to the technical field of water conservancy river construction management, and discloses a water conservancy river construction management system based on data analysis, which comprises an acquisition module, a BIM information processing module, a model reconstruction module, a path planning module, a worker management module, a data analysis module and a display terminal module; the acquisition module acquires a construction image and a road image in a construction site. The BIM information processing module builds a BIM model for water conservancy river construction; the model reconstruction module performs reconstruction, and a real-time construction model is constructed through the three-dimensional reconstruction model; the path planning module plans a route for the vehicle construction team through positioning, communication and path planning algorithms; the worker management module monitors the attendance condition of workers; the data analysis module analyzes the construction progress, efficiency and construction quality. The invention enables the collection and the processing of the data to be more automatic and clearer through the collection module; and (3) planning a path of the construction vehicle and the construction team, so that the passing efficiency is improved.

Description

Water conservancy river construction management system and management method based on data analysis
Technical Field
The application relates to the technical field of water conservancy river construction management, in particular to a water conservancy river construction management system based on data analysis and a management method thereof.
Background
The water conservancy river course is through the manual work construction river course and lay prefabricated U type concrete runner, initiatively guides rivers, and the drainage retaining of being convenient for uses, when the construction after the design, needs to carry out real-time management.
The document with the prior art publication number of CN116011778A provides a water conservancy river construction management system based on data analysis, and the device comprises a construction site dividing module, a construction material information acquisition module, a construction material distribution analysis module, a construction basic information acquisition module, a construction progress analysis module, a construction quality analysis module, a construction efficiency management information analysis module, a display terminal and a river bank management database. By analyzing the construction efficiency of the designated river levee construction site, the problems of inspection and construction efficiency evaluation of technical management staff on the construction site are solved, intelligent management of the river levee construction site is realized, the progress and construction quality of the river levee construction site are effectively guaranteed, and the flexibility of allocation of constructors on the river levee construction site and the rationality of allocation of construction materials are improved.
The prior art scheme described above, although achieving the advantageous effects related thereto by the prior art structure, has the following drawbacks.
The data acquisition mode is complex and ambiguous, the path planning of the construction team and the construction vehicle is not performed, the analysis part is simple, and the method is not intuitive.
Only the operation and the use of the labor and the materials are analyzed, the actual labor and the materials of construction are compared with the plan, and the use efficiency and the cost of the labor and the materials can be timely modified, but the actual construction engineering data and the design data are not compared, so that the actual effect of the construction cannot be timely compared with the design effect, the construction scheme cannot be timely corrected, and after the errors of construction at each stage are accumulated, the engineering parameters and the design at the final stage have great deviation, the construction quality is affected, and even engineering failure is caused.
The prior art publication No. CN112884290A provides a site construction management method based on BIM, and construction simulation is performed in a BIM4D mode, so that efficient transmission and real-time sharing of construction site information are realized, and the construction management level is improved. Only the simulation construction is used, and the deviation in the actual construction is not considered.
In view of the above, we propose a water conservancy river construction management system and a management method thereof based on data analysis.
Disclosure of Invention
1. The technical problem to be solved.
The utility model aims to provide a water conservancy river construction management system and management method based on data analysis, solved the technical problem that proposes among the above-mentioned background art, realized making the collection and the processing of data more automatic through collection module, more clear technological effect.
2. The technical proposal is that.
The technical scheme of the application provides a water conservancy river construction management system based on data analysis, contains.
The acquisition module comprises an image acquisition unit and a text data acquisition unit; the image acquisition unit comprises cameras, and the deployed cameras acquire construction images and images of roads in the construction site in real time. Data in the engineering log is collected.
The BIM information processing module is used for constructing a BIM4D model of water conservancy river construction by using BIM model construction software through a construction plan and a construction design drawing, 4D simulation can be carried out on construction, and various sizes and attributes of the construction design can be extracted from the construction, including river channel width, canal length, sluice number and the like.
And the path planning module designs a traveling route for vehicles in the construction site through positioning, communication, path planning algorithm and traffic priority.
The model reconstruction module comprises sparse reconstruction software; the model reconstruction module firstly performs sparse reconstruction through the image or video acquired by the acquisition module, acquires the actual construction size through a tool of the sparse reconstruction software, and then constructs a real-time construction model through the three-dimensional reconstruction model.
The worker management module comprises face recognition software, and the worker management module determines the attendance condition, the attendance number and the attendance time of workers through a method combining target detection and face recognition.
And the data analysis module performs comparison analysis on the data extracted from the model reconstruction module and the data obtained from the BIM4D model, and verifies the data and the conclusion extracted from the engineering log.
The display terminal module displays the overall plan construction model diagram, the time plan construction model diagram and the analysis result of the BIM through the BIM information processing module, displays the three-dimensional reconstruction model diagram through the model reconstruction module, and displays the positions of vehicles and construction teams and the travelling route diagram through the path planning module. The analyzed data is displayed by a data analysis module.
Through the scheme, the plan can be displayed more intuitively through BIM4D modeling, construction can be simulated, and data and attributes in the plan are output; the data such as the construction size and the like can be compared and analyzed with the data in the plan through the remodelling, and the construction process can be known in real time and intuitively by using the three-dimensional reconstruction.
The traffic time and the congestion time of the vehicle can be reduced through path planning, and the efficiency is improved; the worker management module records information such as attendance time and number of workers, provides basis for construction efficiency, salary distribution and the like, analyzes data in a construction plan, compares and analyzes the data acquired during model reconstruction, compares the data with data in a construction log, and displays results on a terminal so as to facilitate subsequent professional analysis and decision making.
Optionally, the image acquisition unit is used for gathering the image and the video in the construction site, comprises unmanned aerial vehicle and the camera of deployment in the construction site, and the image of gathering has the construction site map, the road map in the construction site.
The text data acquisition unit extracts data through the construction log, and the data comprise information such as construction personnel, construction progress, construction quality and the like.
Through the scheme, through the unmanned aerial vehicle, the camera acquires images and videos in the construction site in real time, provides image data for subsequent image processing, provides image support for roadmaps in the construction site, and provides data support for the data analysis part.
Optionally, the BIM information processing module includes a BIM4D model building unit and a BIM model data deriving unit.
The BIM4D model building unit uses autodesk revit software to make a BIM4D model from CAD design drawing of a construction plan, component attribute data (component type, material, size, weight, manufacturer, installation date, etc.), building system data (equipment, pipeline, etc.), geospatial data (terrain, geology, etc.), time plan data (work package, engineering activity, task duration, milestone, etc.), construction process data (construction order, construction method, construction step, etc.), resource data (human resources, equipment resources, material resources, etc.), and progress data (actually completed workload, state of work package, progress percentage of task, etc.).
The BIM model data deriving unit can extract the data such as the dimension angle, the construction area and the like of the construction design, and can output the engineering project three-dimensional model corresponding to the moment according to the time point.
Through the scheme, the construction model corresponding to the planned time point can be obtained by establishing the BIM model with the time dimension, and the construction model can be visually compared with the real-time model of three-dimensional reconstruction, so that the progress is intuitively analyzed. The data of the construction design can be extracted and compared with the subsequent measured data, and the engineering progress and the engineering quality are quantitatively grasped.
Optionally, the path planning module includes: and the path planning unit and the positioning and communication unit.
The path planning unit adopts a mode of combining an A-algorithm and communication to plan a path for vehicles or construction teams travelling on roads in a construction site; abstracting a road network into a directed graph through an image of a route in a construction site shot by an unmanned aerial vehicle, wherein a fork is a node, and a road is a side; determining the position of a vehicle or a construction team in the drawing by using a vehicle-mounted positioning device, and setting the destination of the vehicle or the construction team according to a construction plan; and planning the shortest path for the vehicles or construction teams by using an A-algorithm, predicting the time to each node through the speed, and communicating the vehicles through a communication mechanism to share the current position and the planned path information. And the dispatching center updates the path planning for the vehicles or the construction team in real time through communication. The vehicle may report its real-time location and status to the central control center via a communication mechanism to adjust the path in time.
The positioning and communication unit is used for positioning the vehicle and the construction team and realizing communication between the vehicle and the construction team and the dispatching center. If the conflict cannot be avoided, the sequence of passing nodes can be arranged according to the priority of the tasks in the construction plan and the time required by passing.
Through the scheme, the vehicle and the construction team can be positioned by combining the A-algorithm with real-time communication, a route is planned for the vehicle and the construction team, the transportation is reduced, the time waste in the advancing process is reduced, and the construction efficiency is improved.
Optionally, the model reconstruction module includes a sparse reconstruction unit and a three-dimensional reconstruction unit.
The sparse reconstruction unit performs sparse reconstruction on a construction part by using a COLMAP through a construction image acquired by the unmanned aerial vehicle and the camera to obtain sparse reconstruction, camera parameters, three-dimensional point cloud and image characteristic points; and measuring the reconstructed model by using a measuring tool of the COLMAP to obtain the real-time construction size.
The three-dimensional reconstruction unit examines and derives the COLMAP data using Blender plug-ins in BlenderNeuralangel, and defines the region of interest. Neuralangelo is used to generate high fidelity three-dimensional surfaces. And obtaining a real-time and high-fidelity construction three-dimensional model.
Through the scheme, the data such as the size and the area of the construction part can be obtained in real time, the data is provided for data analysis, and the three-dimensional model of the construction part can be reconstructed in real time through the three-dimensional reconstruction technology, so that the engineering progress and the engineering state can be observed more intuitively.
Optionally, the worker management module includes: target detection unit and face recognition unit.
The target detection unit detects for 10 minutes every 60 minutes using a target detection model YOLOv8, and counts the number of people detected each time.
The face recognition unit and the target detection unit are synchronously carried out, the face recognition model is used for detecting worker information, and attendance of workers is detected.
According to the scheme, the number of construction workers can be detected through target detection, the detected result represents the number of construction workers in 30 minutes in the future, the number of construction workers and the corresponding construction time can be calculated indirectly, the information of workers who are attendance is recorded through face recognition, so that workers who are not attendance are found out, the privacy of the workers is protected to a certain extent by detecting every 30-60 minutes, and the calculation amount of the workers which are always detected is reduced.
Optionally, the data analysis module includes: a progress analysis unit and a quality analysis unit.
Progress analysis unit for calculating construction area S from data extracted by model reconstruction module Construction method Obtaining the planned construction total area S through BIM model Total (S) And the planned construction area S at this time Planning Percentage of construction area progress eta Area progress =S Construction method /S Total (S) X100%, the ratio of the actual construction area to the planned construction area at this time is S Construction method ：S Planning Acquiring accumulated engineering quantity W through engineering log Accumulation of Obtaining the planned total engineering quantity W through a BIM model Total (S) And the planned engineering quantity W up to this time Planning Engineering quantity progress percentage eta Engineering quantity progress =W Accumulation of /W Total (S) 100% of the actual engineering quantity and the planned engineering quantity at this time are in a ratio of W Accumulation of :W Planning The product of the number of people N and the construction time (T=1 hour) of each construction is calculated through a worker management module through the use time and the like of engineering log acquisition equipment, the number of people N and the construction time detected each time are accumulated, the total number of people and the construction time are obtained, and the construction is combinedArea S Construction method Or accumulated engineering quantity W Accumulation of Calculating the construction efficiency alpha of the area Area efficiency =S Construction method Sigma (NxT), or engineering quantity construction efficiency alpha Engineering quantity efficiency =W Accumulation of /∑(N×T)。
And the quality analysis unit compares the construction size, angle and the like extracted by the model reconstruction module with the design size, angle and the like obtained from the BIM model, displays the construction size, angle and the like, facilitates the analysis of subsequent professionals, analyzes whether the construction log has errors by combining the construction quality data in the engineering log, and monitors the construction quality in multiple aspects.
According to the scheme, the actual construction data and the planned construction data are compared, the engineering progress and the engineering quality are analyzed, so that professionals can find the data to be analyzed more easily, and a decision is made in time.
Optionally, the terminal display module displays the construction overall model diagram, the planning model diagram of the moment, the three-dimensional reconstruction model diagram at the moment, the positioning diagram and the roadmap of the vehicle and the construction team. The results of the data analysis (construction progress data, construction quality data) and the analysis results of the BIM model are displayed.
Through the scheme, the processed information is displayed in the form of graphs and data, so that the method is more visual and convenient for qualitative and quantitative analysis.
The application also discloses a management method of the water conservancy river construction management system based on data analysis, which comprises the following steps.
S1, acquiring a construction image and an image of a road in a construction site in real time by using an unmanned aerial vehicle and a deployed camera, and acquiring data in an engineering log.
S2, constructing a BIM4D model by using data such as a design drawing CAD and the like, performing construction analysis through the BIM4D model, and extracting data in the BIM4D model.
And S3, performing sparse reconstruction and three-dimensional reconstruction by using a model reconstruction technology to obtain real construction parameters and a real-time three-dimensional model.
And S4, planning a path for vehicles or construction teams entering the road network of the construction site by using a mode of combining an A-algorithm and communication, reducing conflict and congestion, and enabling the path to be shortest as much as possible.
S5, determining the attendance situation, the attendance number and the attendance time of workers by using a method combining target detection and face recognition.
S6, comparing the collected area, engineering quantity and the like with the planned area, engineering quantity and the like to obtain construction progress, combining the collected worker construction time to obtain engineering efficiency, comparing the collected size, angle and the like with the designed size, angle and the like, and analyzing engineering quality.
And S7, displaying the overall construction model, the planning model at the time point, the three-dimensional reconstruction actual model, the positions of vehicles and construction teams, the roadmap, the data analysis result and the BIM analysis result on the terminal, so that the subsequent analysis, management and decision making are convenient.
3. Has the beneficial effects of.
One or more of the technical solutions provided in the technical solutions of the present application have at least the following technical effects or advantages.
The data acquisition and processing are more automatic and clearer through the acquisition module.
And (3) planning a path of the construction vehicle and the construction team, so that the passing efficiency is improved, and the construction efficiency is further improved.
The data are acquired through model reconstruction, the automation is improved, and the construction quality of the construction progress is more visual by constructing the construction model in real time through three-dimensional reconstruction.
And determining the attendance condition, attendance number and attendance time of workers by a method combining target detection and face recognition. The management of workers is enhanced, and the data acquisition is facilitated.
And visual basis is provided for analysis decision-making through data analysis of construction progress, construction efficiency and construction quality.
Drawings
Fig. 1 is a schematic diagram of a water conservancy river construction management system based on data analysis according to a preferred embodiment of the present application.
Fig. 2 is a schematic diagram of a worker management module according to a preferred embodiment of the present application.
Fig. 3 is a schematic diagram of an acquisition module according to a preferred embodiment of the present application.
FIG. 4 is a schematic diagram of a BIM information processing module according to a preferred embodiment of the present invention.
Fig. 5 is a schematic diagram of a path planning module according to a preferred embodiment of the present application.
FIG. 6 is a schematic diagram of a model reconstruction module according to a preferred embodiment of the present application.
FIG. 7 is a schematic diagram of a data analysis module according to a preferred embodiment of the present application.
Description of the embodiments
The present application is described in further detail below in conjunction with the drawings attached to the specification.
Referring to fig. 1, an embodiment of the present application provides a water conservancy river construction management system based on data analysis, including.
The acquisition module comprises an image acquisition unit and a text data acquisition unit; the image acquisition unit comprises cameras, the deployed cameras acquire construction images and images of roads in construction sites in real time, and data in engineering logs are acquired.
BIM information processing module, BIM information processing module through the construction plan, the construction design drawing uses BIM model construction software to construct the BIM4D model of water conservancy river course construction, can carry out 4D simulation to the construction, can extract various sizes and the attribute of construction design from it, for example: channel width, canal length, number of sluice gates, etc.
The model reconstruction module comprises sparse reconstruction software; the model reconstruction module firstly performs sparse reconstruction through the image or video acquired by the acquisition module, acquires the actual construction size through a tool of the sparse reconstruction software, and then constructs a real-time construction model through the three-dimensional reconstruction model.
And the path planning module designs a traveling route for vehicles and construction teams in the construction site through positioning, communication, path planning algorithm and traffic priority.
The worker management module comprises face recognition software, and calculates the attendance condition, attendance number and attendance time of workers through the combination of target detection and face recognition.
And the data analysis module is used for comparing and analyzing the data extracted from the model reconstruction module with the data acquired from the BIM4D model and verifying the data and the conclusion extracted from the engineering log.
The display terminal module displays the overall plan construction model diagram, the time plan construction model diagram and the analysis result of the BIM model through the BIM information processing module, displays the three-dimensional reconstruction model diagram through the model reconstruction module, and displays the positions of vehicles and construction teams and the travelling route diagram through the path planning module. The analyzed data is displayed by a data analysis module.
Referring to fig. 1 and 2, the image acquisition unit is used for acquiring images and videos in a construction site, and is composed of an unmanned aerial vehicle and cameras deployed in the construction site, and the acquired images comprise a construction site map and a road map in the construction site.
The text data acquisition unit extracts data through the construction log, and the data comprise information such as constructors, construction progress, construction quality and the like.
Referring to fig. 1 and 4, the BIM information processing module includes a BIM4D model building unit and a BIM model data deriving unit.
The BIM4D model construction unit uses autodesk revit software to make a BIM4D model from CAD design drawing of a construction plan, component attribute data (component type, material, size, weight, manufacturer, installation date, etc.), geospatial data (terrain, geology, etc.), time plan data (work package, engineering activity, task duration, milestone, etc.), construction process data (construction order, construction method, construction step, etc.), resource data (human resources, equipment resources, material resources, etc.), and progress data (actually completed workload, state of work package, progress percentage of task, etc.).
The BIM model data deriving unit can extract the data such as the size, the angle, the construction area and the like of the construction design, and can output the engineering project three-dimensional model corresponding to the moment according to the time point.
Referring to fig. 1 and 6, the model reconstruction module includes: a sparse reconstruction unit and a three-dimensional reconstruction unit.
The sparse reconstruction unit performs sparse reconstruction on the construction part through the construction image acquired by the unmanned aerial vehicle and the camera by using the COLMAP to obtain sparse reconstruction, camera parameters, three-dimensional point cloud and image characteristic points; and measuring the reconstructed model by using a measuring tool of the COLMAP to obtain the real-time construction size.
The three-dimensional reconstruction unit uses Blender plug-ins in BlenderNeurangelo to examine and derive COLMAP data, and to define regions of interest. Neuralangelo is used to generate a high-fidelity three-dimensional surface, and a real-time high-fidelity construction three-dimensional model is obtained.
Referring to fig. 1 and 5, the path planning module includes: and the path planning unit and the positioning and communication unit.
The path planning unit adopts a combination mode of an A algorithm and communication to plan a path for vehicles or construction teams travelling on roads in a construction site; abstracting a road network into a directed graph through an image of a route in a construction site shot by an unmanned aerial vehicle, wherein a fork is a node, and a road is a side; determining the position of a vehicle or a construction team in the drawing by using a vehicle-mounted positioning device, and setting the destination of the vehicle or the construction team according to a construction plan; and planning the shortest path for the vehicles or construction teams by using an A-algorithm, predicting the time to each node through the speed, and communicating the vehicles through a communication mechanism to share the current position and the planned path information. And the dispatching center updates the path planning for the vehicles or the construction team in real time through communication. The vehicle may report its real-time location and status to the central control center via a communication mechanism to adjust the path in time.
And the positioning and communication unit is used for positioning the vehicle and the construction team and realizing communication between the vehicle and the construction team and the dispatching center. If the conflict cannot be avoided, the order of passing the nodes can be arranged according to the priority of the tasks and the time required by the passing.
Referring to fig. 1 and 2, the worker management module includes: target detection unit and face recognition unit.
The target detection unit detects 5 minutes every 60 minutes using a target detection model YOLOv8, and counts the number of people detected each time. The method comprises the steps of collecting a video of worker construction, enhancing the video by using a super-resolution technology, marking workers in the video in the form of rectangular frames, training a target detection model YOLOv8, counting the number of people in each frame in a detection time period, and taking the maximum value as the number of construction people in the detection.
And the face recognition unit is synchronously carried out with the target detection unit, and detects worker information and attendance conditions of workers by using a face recognition model. The remote face images of workers at different angles are combined with information to enter a database, face recognition is carried out on the workers in the video by using deep face, and the workers which are attendance are determined, so that the workers which are not attendance are detected. The number of construction workers is detected through target detection, the number of construction workers in the future is represented by the detected result for 30 minutes, the number of construction workers and the corresponding construction time can be calculated indirectly, the information of the workers on duty is recorded through face recognition, so that the workers which do not work on duty are found out, the privacy of the workers is protected to a certain extent, and the calculation amount of the continuous detection is reduced.
Referring to fig. 1 and 7, the data analysis module includes: a progress analysis unit and a quality analysis unit.
The progress analysis unit calculates a construction area S through the data extracted by the model reconstruction module Construction method Obtaining the planned construction total area S through BIM model Total (S) And the planned construction area S at this time Planning Percentage of construction area progress eta Area progress =S Construction method /S Total (S) X100%, the ratio of the actual construction area to the planned construction area at this time is S Construction method ：S Planning Acquiring accumulated engineering quantity W through engineering log Accumulation of Obtaining the planned total engineering quantity W through a BIM model Total (S) And the planned engineering quantity W up to this time Planning Engineering quantity progress percentage eta Engineering quantity progress =W Accumulation of /W Total (S) 100% of the actual engineering quantity and the planned engineering quantity at this time are in a ratio of W Accumulation of :W Planning The product of the number of people N and the construction time (T=1 hour) of each construction time is calculated through a worker management module through the use time and the like of engineering log acquisition equipment, the number of people N and the construction time detected each time are accumulated, the total number of people and the construction time are obtained, and the construction area S is combined Construction method Or accumulated engineering quantity W Accumulation of Calculating the construction efficiency alpha of the area Area efficiency =S Construction method Sigma (NxT), or engineering quantity construction efficiency alpha Engineering quantity efficiency =W Accumulation of /∑(N×T)。
And the quality analysis unit compares the construction size, angle and the like extracted by the model reconstruction module with the design size, angle and the like obtained from the BIM model, displays the construction size, angle and the like, is convenient for subsequent professionals to analyze, analyzes whether a construction log has errors by combining with the data of the construction quality in the engineering log, and monitors the construction quality in multiple aspects.
Referring to fig. 1, the terminal display module displays a construction ensemble model map, a planning model map at this time point, a three-dimensional reconstruction model map at this time, a localization map of vehicles and construction teams, and a roadmap. The result of the data analysis (construction progress data, construction quality data) is displayed.
The embodiment of the application provides a management method of a water conservancy river construction management system based on data analysis, which comprises the following steps.
S1, acquiring a construction image and an image of a road in a construction site in real time by using an unmanned aerial vehicle and a deployed camera, and acquiring data in an engineering log.
S2, constructing a BIM4D model by using data such as a design drawing CAD and the like, performing construction analysis through the BIM4D model, and extracting data in the BIM4D model.
And S3, performing sparse reconstruction and three-dimensional reconstruction by using a model reconstruction technology to obtain real construction parameters and a real-time three-dimensional model.
And S4, planning a path for vehicles or construction teams entering the road network of the construction site by using a mode of combining an A-algorithm and communication, reducing conflict and congestion, and enabling the path to be shortest as much as possible.
S5, determining the attendance situation, the attendance number and the attendance time of workers by using a method combining target detection and face recognition.
S6, comparing the collected area, engineering quantity and the like with the planned area, engineering quantity and the like to obtain construction progress, combining the collected worker construction time to obtain engineering efficiency, comparing the collected size, angle and the like with the designed size, angle and the like, and analyzing engineering quality.
And S7, displaying the whole construction model, the planning model at the time point, the three-dimensional reconstructed actual model, the positions of vehicles and construction teams, the roadmap, the data analysis result and the BIM analysis result on the terminal, so that the subsequent analysis, management and decision making are convenient.
The invention relates to a water conservancy river construction management system based on data analysis, which comprises the following working principles: the method comprises the steps of acquiring construction images, videos and images of roads in a construction site in real time by using an unmanned aerial vehicle and a deployed camera, and acquiring data (constructors, construction progress, construction quality and the like) in an engineering log. Using Autodesk Revit software to manufacture a BIM4D model through CAD design drawing of a construction plan, component attribute data, building system data, geospatial data, time plan data, construction process data, resource data and progress data; performing sparse reconstruction on a construction part by using a COLMAP through construction images acquired by the unmanned aerial vehicle and the camera to obtain sparse reconstruction, camera parameters, three-dimensional point cloud and image characteristic points; and measuring the reconstructed model by using a measuring tool of the COLMAP to obtain the real-time construction size. The Blender plug-in BlenderNeurangelo is used to examine and derive COLMAP data, as well as define the region of interest. Neuralangelo is used to generate high fidelity three-dimensional surfaces. And obtaining a real-time and high-fidelity construction three-dimensional model. Planning a path for a vehicle or a construction team travelling on a road in a construction site by adopting a mode of combining an A-algorithm and communication; abstracting a road network into a directed graph through an image of a route in a construction site shot by an unmanned aerial vehicle, wherein a fork is a node, and a road is a side; determining the position of a vehicle or a construction team in the drawing by using a vehicle-mounted positioning device, and setting the destination of the vehicle or the construction team according to a construction plan; and planning the shortest path for the vehicles or construction teams by using an A-algorithm, predicting the time to each node through the speed, and communicating the vehicles through a communication mechanism to share the current position and the planned path information. Through communication, the vehicle may detect potential collisions and coordinate and adjust the path to avoid collisions. And updating the path planning in real time. The vehicle may report its real-time location and status to other vehicles and to a central control center via a communication mechanism to adjust the path in time. Calculating a construction area through data extracted by a model reconstruction module, obtaining a planned construction total area and a planned construction area at the moment through a BIM model, obtaining a construction area progress percentage, obtaining a total engineering quantity through an engineering log, obtaining the planned total engineering quantity and the planned engineering quantity at the moment through the BIM model, obtaining an engineering quantity progress percentage, obtaining a ratio of the actual engineering quantity to the planned engineering quantity at the moment, obtaining a construction team through the engineering log, a construction number, a worker attendance time, a device using time and the like, calculating a product of the construction number N and the construction time (T=1 hour) each time through a worker management module, accumulating the construction number detected each time with the construction time, obtaining the total construction number and the construction time, and obtaining the construction efficiency by combining the construction area or the accumulated engineering quantity. The quality analysis unit compares the construction size, angle and the like extracted by the model reconstruction module with the design size, angle and the like obtained from the BIM model, displays the construction size, angle and the like, facilitates the analysis of subsequent professionals, analyzes whether construction logs have errors by combining the construction quality data in the construction logs, and monitors the construction quality in multiple aspects. And displaying the whole construction model, the planning model at the time point, the three-dimensional reconstructed actual model, the positions of vehicles and construction teams, the roadmap, the data analysis result and the BIM analysis result on the terminal, so that the subsequent analysis, management and decision making are convenient.
The invention makes the data collection and processing more automatic and more definite through the collection module. The construction vehicle, the construction team carry out path planning, improves the passing efficiency, and then improves the efficiency of construction. The data are acquired through model reconstruction, the automation is improved, and the construction quality of the construction progress is more visual by constructing the construction model in real time through three-dimensional reconstruction. And determining the attendance condition, attendance number and attendance time of workers by a method combining target detection and face recognition. The management of workers is enhanced, and the data acquisition is facilitated. And visual basis is provided for analysis decision-making through data analysis of construction progress, construction efficiency and construction quality.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. The management method of the water conservancy river construction management system based on data analysis is characterized by comprising the following steps of:
s1, acquiring a construction image and an image of a road in a construction site in real time by using an unmanned aerial vehicle and a deployed camera, and acquiring data in an engineering log;
s2, constructing a BIM4D model by using CAD data of a design drawing, performing construction analysis by the BIM4D model, and extracting data in the BIM4D model;
s3, performing sparse reconstruction and three-dimensional reconstruction by using a model reconstruction technology to obtain real construction parameters and a real-time three-dimensional model;
s4, planning a path for vehicles or construction teams entering a road network of a construction site by using a mode of combining an A algorithm and communication, reducing conflict and congestion, and enabling the path to be shortest as much as possible; the path planning unit adopts a combination mode of an A algorithm and communication to plan a path for vehicles or construction teams travelling on roads in a construction site; abstracting a road network into a directed graph through an image of a route in a construction site shot by an unmanned aerial vehicle, wherein a fork is a node, and a road is a side; determining the position of a vehicle or a construction team in the drawing by using a vehicle-mounted positioning device, and setting the destination of the vehicle or the construction team according to a construction plan; planning the shortest path for vehicles or construction teams by using an A-algorithm, predicting the time to each node through the speed, and communicating the vehicles through a communication mechanism to share the current position and the planned path information; the dispatching center updates the path planning of the vehicle or the construction team in real time through communication; the vehicle can report the real-time position and state to the central control center through a communication mechanism so as to adjust the path in time; the positioning and communication unit is used for positioning the vehicle and the construction team and realizing the communication between the vehicle and the construction team and the dispatching center; if the conflict cannot be avoided, the sequence of passing nodes can be arranged according to the priority of the tasks in the construction plan and the time required by passing;
s5, determining the attendance situation, the attendance number and the attendance time of workers by using a method combining target detection and face recognition;
s6, comparing the acquired area and engineering quantity with the planned area and engineering quantity to obtain construction progress, combining the acquired worker construction time to obtain engineering efficiency, comparing the acquired size and angle with the designed size and angle, and analyzing engineering quality;
and S7, displaying the overall construction model, the planning model at the time point, the three-dimensional reconstruction actual model, the positions of vehicles and construction teams, the roadmap, the data analysis result and the BIM analysis result on the terminal, so that the subsequent analysis, management and decision making are convenient.
2. A water conservancy river construction management system based on data analysis includes: the system comprises an acquisition module, a BIM information processing module, a model reconstruction module, a path planning module, a worker management module, a data analysis module and a display terminal module; the method is characterized in that:
the acquisition module comprises an image acquisition unit and a text data acquisition unit; the image acquisition unit comprises a camera and an unmanned aerial vehicle, wherein the deployed camera acquires construction images and images of roads in a construction site in real time, and acquires data in an engineering log;
the BIM information processing module uses BIM model construction software to construct a BIM4D model of the water conservancy river construction through a construction plan and a construction design drawing, 4D simulation is carried out on the construction, and various sizes and attributes of the construction design are extracted from the construction;
the model reconstruction module comprises sparse reconstruction software; the model reconstruction module acquires the actual construction size through a tool carried by sparse reconstruction software through the image or video acquired by the acquisition module, and constructs a real-time construction model through a three-dimensional reconstruction model;
the path planning module designs a traveling route for vehicles and construction teams in the construction site through positioning, communication, path planning algorithm and traffic priority; the path planning module comprises: the system comprises a path planning unit and a positioning and communication unit, wherein the path planning unit adopts a combination mode of an A-type algorithm and communication to plan a path for vehicles or construction teams travelling on roads in a construction site; abstracting a road network into a directed graph through an image of a route in a construction site shot by an unmanned aerial vehicle, wherein a fork is a node, and a road is a side; determining the position of a vehicle or a construction team in the drawing by using a vehicle-mounted positioning device, and setting the destination of the vehicle or the construction team according to a construction plan; planning the shortest path for vehicles or construction teams by using an A-algorithm, predicting the time to each node through the speed, and communicating the vehicles through a communication mechanism to share the current position and the planned path information; the dispatching center updates the path planning of the vehicle or the construction team in real time through communication;
the vehicle can report the real-time position and state to the central control center through a communication mechanism so as to adjust the path in time;
the positioning and communication unit is used for positioning the vehicle and the construction team and realizing the communication between the vehicle and the construction team and the dispatching center; if the conflict cannot be avoided, the sequence of passing nodes can be arranged according to the priority of the tasks in the construction plan and the time required by passing;
the worker management module comprises face recognition software, and calculates the attendance condition, attendance number and attendance time of workers through the combination of target detection and face recognition;
the data analysis module is used for carrying out comparison analysis on the data extracted from the model reconstruction module and the data obtained from the BIM4D model, and verifying the data and the conclusion extracted from the engineering log;
the display terminal module displays the overall plan construction model diagram, the time plan construction model diagram and the analysis result of the BIM model through the BIM information processing module, displays the three-dimensional reconstruction model diagram through the model reconstruction module, and displays the positions of vehicles and construction teams and the travelling route diagram through the path planning module; the analyzed data is displayed by a data analysis module.
3. The water conservancy river construction management system based on data analysis of claim 2, wherein: the BIM information processing module comprises a BIM4D model building unit and a BIM model data deriving unit;
the BIM4D model construction unit uses Autodesk Revit software to manufacture a BIM4D model through CAD design drawing of a construction plan, component attribute data, building system data, geographic space data, time plan data, construction process data, resource data and progress data;
and the BIM model data deriving unit extracts the dimension angle and the construction area data of the construction design and outputs the engineering project three-dimensional model corresponding to the moment according to the time point.
4. The water conservancy river construction management system based on data analysis of claim 2, wherein: the image acquisition unit consists of an unmanned plane and cameras deployed in the construction site and is used for acquiring images and videos in the construction site, wherein the acquired images comprise construction site images and road images in the construction site;
the text data acquisition unit extracts data through the construction log.
5. The water conservancy river construction management system based on data analysis of claim 2, wherein: the model reconstruction module comprises a sparse reconstruction unit and a three-dimensional reconstruction unit;
the sparse reconstruction unit performs sparse reconstruction on a construction part by using a COLMAP through a construction image acquired by the unmanned aerial vehicle and the camera to obtain sparse reconstruction, camera parameters, three-dimensional point cloud and image characteristic points; and measuring the reconstructed model by using a measuring tool of the COLMAP to obtain the real-time construction size.
6. The water conservancy river construction management system based on data analysis of claim 5, wherein: the three-dimensional reconstruction unit examines and derives the COLMAP data using Blender plug-ins in BlenderNeuralanllo, and defines a region of interest; generating a high-fidelity three-dimensional surface using a neuroalangelo; and obtaining a real-time and high-fidelity construction three-dimensional model.
7. The water conservancy river construction management system based on data analysis of claim 2, wherein: the worker management module includes: a target detection unit and a face recognition unit;
the target detection unit uses a target detection model YOLOv8 to detect for 10 minutes every 60 minutes, and counts the number of people detected each time;
the face recognition unit and the target detection unit are synchronously carried out, the face recognition model is used for detecting worker information, and attendance of workers is detected.
8. The water conservancy river construction management system based on data analysis of claim 2, wherein: the data analysis module comprises: a progress analysis unit and a quality analysis unit;
progress analysis unit for calculating construction area S from data extracted by model reconstruction module Construction method Obtaining a planned construction total surface through a BIM modelProduct S Total (S) And the planned construction area S at this time Planning Construction area progress percentage η=s Construction method /S Total (S) x100%, the ratio of the actual construction area to the planned construction area at this moment is S Construction method ：S Planning Acquiring accumulated engineering quantity W through engineering log Accumulation of Obtaining the planned total engineering quantity W through a BIM model Total (S) And the planned engineering quantity W up to this time Planning Engineering quantity progress percentage eta Engineering quantity =W Accumulation of /W Total (S) x100%, the ratio of the actual engineering quantity to the planned engineering quantity at the moment is W Accumulation of ：W Total (S) The product of the number of people N and the construction time of each construction is calculated through a worker management module through the use time and the like of engineering log acquisition equipment, the number of people N and the construction time of each detection are accumulated, the total number of people and the construction time are obtained, and the construction area S is combined Construction method Or accumulated engineering quantity W Accumulation of Calculate area construction efficiency ə =s Construction method Sigma NxT, or work volume construction efficiency a=wcumulatively sigma NxT;
and the quality analysis unit compares the construction size and angle extracted by the model reconstruction module with the design size and angle obtained from the BIM model, displays the construction size and angle, facilitates the analysis of subsequent professionals, analyzes whether the construction log has errors by combining the construction quality data in the engineering log, and monitors the construction quality in multiple aspects.
9. The water conservancy river construction management system based on data analysis of claim 2, wherein: the display terminal module displays a construction overall model diagram, a planning model diagram of the moment, a three-dimensional reconstruction model diagram, a positioning diagram and a roadmap of a vehicle and a construction team; and displaying the data analysis result and the BIM analysis result.
CN202311277230.8A 2023-10-07 2023-10-07 Water conservancy river construction management system and management method based on data analysis Active CN117151423B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311277230.8A CN117151423B (en) 2023-10-07 2023-10-07 Water conservancy river construction management system and management method based on data analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311277230.8A CN117151423B (en) 2023-10-07 2023-10-07 Water conservancy river construction management system and management method based on data analysis

Publications (2)

Publication Number Publication Date
CN117151423A CN117151423A (en) 2023-12-01
CN117151423B true CN117151423B (en) 2023-12-29

Family

ID=88904411

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311277230.8A Active CN117151423B (en) 2023-10-07 2023-10-07 Water conservancy river construction management system and management method based on data analysis

Country Status (1)

Country Link
CN (1) CN117151423B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110008588A (en) * 2019-04-04 2019-07-12 南京林业大学 Multidimensional integrated highway engineering construction progress msg management system and method
CN111275760A (en) * 2020-01-16 2020-06-12 上海工程技术大学 Unmanned aerial vehicle target tracking system and method based on 5G and depth image information
CN112580939A (en) * 2020-12-03 2021-03-30 中国十九冶集团有限公司 BIM + GIS technology-based process management system for highway construction
CN113486293A (en) * 2021-09-08 2021-10-08 天津港第二集装箱码头有限公司 Intelligent horizontal transportation system and method for full-automatic side loading and unloading container wharf

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110008588A (en) * 2019-04-04 2019-07-12 南京林业大学 Multidimensional integrated highway engineering construction progress msg management system and method
CN111275760A (en) * 2020-01-16 2020-06-12 上海工程技术大学 Unmanned aerial vehicle target tracking system and method based on 5G and depth image information
CN112580939A (en) * 2020-12-03 2021-03-30 中国十九冶集团有限公司 BIM + GIS technology-based process management system for highway construction
CN113486293A (en) * 2021-09-08 2021-10-08 天津港第二集装箱码头有限公司 Intelligent horizontal transportation system and method for full-automatic side loading and unloading container wharf

Also Published As

Publication number Publication date
CN117151423A (en) 2023-12-01

Similar Documents

Publication Publication Date Title
US20200211374A1 (en) System, method, and apparatus for analyzing a traffic road condition
CN107134142A (en) A kind of urban road method for predicting based on multisource data fusion
WO2022126669A1 (en) Subway pedestrian flow network fusion method based on video pedestrian recognition, and pedestrian flow prediction method
CN102521965B (en) Effect evaluation method of traffic demand management measures based on identification data of license plates
EP2590151A1 (en) A framework for the systematic study of vehicular mobility and the analysis of city dynamics using public web cameras
CN113538898A (en) Multisource data-based highway congestion management and control system
Li et al. Automated collection of pedestrian data through computer vision techniques
Montaser et al. Truck+ for earthmoving operations
CN112100299B (en) Visualization method for emergency early warning of sudden toxic gas leakage
CN110298768B (en) Road and bridge maintenance auxiliary decision-making system and maintenance method based on BIM and GIS
CN109272175A (en) A kind of data collection system and method based on Urban Migrant network
Bachechi et al. Implementing an urban dynamic traffic model
CN110738853B (en) Key node identification method based on complex network correlation
Mohamed et al. Data-driven simulation-based model for planning roadway operation and maintenance projects
CN116189439A (en) Urban intelligent management system
JP5486939B2 (en) Road traffic situation analysis system
CN117151423B (en) Water conservancy river construction management system and management method based on data analysis
CN104035985B (en) A kind of method for digging towards Fundamental Geographic Information System abnormal data
US20190088116A1 (en) Predicting vehicle travel times by modeling heterogeneous influences between arterial roads
CN111639856A (en) City environment object calibration method, system and medium based on crowd sensing technology
Weng et al. Freeway travel speed calculation model based on ETC transaction data
Habtie et al. Cellular network based real-time urban road traffic state estimation framework using neural network model estimation
Sun et al. Study on safe evacuation routes based on crowd density map of shopping mall
Liao et al. Development of data-processing framework for transit performance analysis
CN114066431A (en) Personnel activity map implementation method based on four-dimensional travel model

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
GR01 Patent grant
GR01 Patent grant