Project project completion progress evaluation method and system

Abstract

The invention is suitable for the technical field of completion progress assessment, and particularly relates to a project completion progress assessment method and system, and the method comprises the steps: obtaining a construction plan of a project, delimiting construction points, carrying out the connection to obtain a patrol route for progress assessment, collecting the image data of the patrol route through a panoramic camera, and carrying out the assessment of the project completion progress. Splicing is carried out to obtain a panoramic image, and the construction point position is marked in the panoramic image; and reading the change characteristics from the construction point location, determining the deployment position of the card reader, and obtaining the use permission of the RFID tag integrated in the safety helmet in advance. By comparing the standard progress with the panoramic image, the construction progress can be grasped in time, the difference between the actual progress and the standard progress can be quickly identified, a data basis is provided for project progress evaluation, and the construction point location which is not inspected on time can be found by determining the activation window, so that the timeliness of the panoramic image is ensured, and the project progress evaluation efficiency is improved. And the accuracy of completion progress evaluation is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of completion progress assessment, and in particular to a project completion progress assessment method and system. Background Art

[0002] Project completion progress assessment refers to the process of monitoring and analyzing the construction site during the construction of the project to determine the difference between the overall progress of the project and the planned goals.

[0003] However, in project progress assessment, data collection and update lags are common problems. Existing project engineering generally collects construction data through manual reporting or different management systems (such as construction management, financial management, and material management, etc.). Since the data source is untimely, incomplete or inaccurate, it greatly affects the accuracy of progress assessment; therefore, "how to use panoramic images of the construction site to evaluate the completion progress" is the technical problem that the present invention needs to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for evaluating the completion progress of a project, so as to solve the problem of "how to evaluate the completion progress using panoramic images of a construction site" raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A method for evaluating the completion progress of a project, the method comprising: Obtain the construction plan of the project, delineate the construction points, connect to obtain the inspection route for progress assessment, use a panoramic camera to collect image data of the inspection route, stitch together to obtain a panoramic image, and mark the construction points in the panoramic image; Read the change characteristics from the construction point, determine the deployment position of the card reader, obtain the use authority of the RFID tag pre-integrated in the safety helmet, establish the communication relationship between the card reader and the RFID tag, and embed the trigger rules into the card reader; The triggering rule is: when the card reader detects the RFID tag through the radio frequency signal, the camera in the helmet is activated to collect the real-time image at the deployment location; Determine whether there are change features in the real-time image, and if so, perform feature matching on the panoramic image and the real-time image, reconstruct the panoramic image using the real-time image, obtain the standard progress of the project, compare the standard progress with the panoramic image, generate an evaluation report, and send the evaluation report to a preset terminal; Establish an activation window for the communication relationship, set a waiting time, build a corresponding relationship between the deployment position and the waiting time, determine whether the trigger rule is activated within the waiting time, if not, integrate the deployment position and the waiting time, generate an alarm message, and send the alarm message to a preset terminal.

[0006] Furthermore, the steps of obtaining the construction plan of the project, delineating the construction points, and connecting the inspection route for progress assessment include: Obtaining optimization factors of the inspection route, wherein the optimization factors at least include: obstacles and material stacking, and using the optimization factors to offset the inspection route; An inspection schedule is drawn, wherein the inspection schedule consists of an inspection route item, an activation window item, and a personnel item.

[0007] Furthermore, the method further comprises: Clustering the construction sites into several risk levels, wherein the risk levels include at least: high, medium and low, and defining the construction sites corresponding to the high risk level as additional locations; When the construction personnel enter the additional location, a preset reminder strategy is initiated via the communication relationship; Determine a prompt color corresponding to each risk level, use the prompt color to render the panoramic image, and generate a risk heat map.

[0008] Furthermore, the steps of using a panoramic camera to collect image data of the inspection route, stitching together a panoramic image, and marking the construction points in the panoramic image include: Collect environmental data of the project and link the environmental data to the panoramic image; The panoramic image is input into a pre-built convolutional neural network to identify construction features, wherein the construction features include at least: construction equipment, signboards and construction fences.

[0009] Furthermore, the step of obtaining the permission to use the RFID tag pre-integrated in the helmet and establishing a communication relationship between the card reader and the RFID tag includes: Establishing a mapping between the RFID tags and the construction personnel, obtaining the identity data of the construction personnel, and constructing an access management table; Dividing the panoramic image into a plurality of partitions, and establishing a corresponding relationship between the partitions and the construction personnel; Integrate the corresponding relationship and the communication relationship to determine whether there is an unknown visitor in the partition. If yes, trigger the reminder strategy; if not, update the access management table.

[0010] Furthermore, the step of performing feature matching on the panoramic image and the real-time image and reconstructing the panoramic image using the real-time image includes: Creating an image difference detection model, inputting the panoramic image and the real-time image into the image difference detection model, and outputting a difference item; The difference items are spliced ​​into the panoramic image using a Poisson image editing algorithm, and the result is optimized.

[0011] Furthermore, the step of integrating the deployment location and the waiting time to generate the alarm information includes: Configure the weight corresponding to each risk level, and count the total number of warning information corresponding to each construction point; Integrate the weights and totals to calculate the risk factor of each construction site; Determine whether the risk factor is greater than a threshold, and if so, initiate a preset handling rule.

[0012] Furthermore, the system comprises: The marking module is used to obtain the construction plan of the project, delineate the construction points, connect the inspection route for progress assessment, use the panoramic camera to collect image data of the inspection route, and stitch it to obtain a panoramic image, and mark the construction points in the panoramic image; The acquisition module is used to read the change characteristics from the construction point, determine the deployment position of the card reader, obtain the use authority of the RFID tag pre-integrated in the safety helmet, establish a communication relationship between the card reader and the RFID tag, and embed a trigger rule into the card reader, wherein the trigger rule is: when the card reader detects the RFID tag through the radio frequency signal, activate the camera in the safety helmet to collect the real-time image at the deployment position; a judgment module, configured to judge whether there are change features in the real-time image, and if so, to perform feature matching on the panoramic image and the real-time image, to reconstruct the panoramic image using the real-time image, to obtain a standard progress of the project, to compare the standard progress with the panoramic image, to generate an evaluation report, and to send the evaluation report to a preset terminal; The sending module is used to establish an activation window for the communication relationship, set a waiting time, build a corresponding relationship between the deployment position and the waiting time, determine whether the trigger rule is started within the waiting time, and if not, integrate the deployment position and the waiting time, generate an alarm message, and send the alarm message to a preset terminal.

[0013] Furthermore, the marking module includes: An offset unit, used to obtain optimization factors of the inspection route, wherein the optimization factors at least include: obstacles and material stacking, and offset the inspection route using the optimization factors; A drawing unit, used for drawing an inspection schedule, wherein the inspection schedule consists of an inspection route item, an activation window item and a personnel item; A clustering unit, used for clustering the construction sites into several risk levels, wherein the risk levels include at least: high, medium and low, and defining the construction sites corresponding to the high risk level as additional locations; A reminder unit, used to start a preset reminder strategy via the communication relationship when the construction personnel enter the additional position; A generating unit, used to determine a prompt color corresponding to each risk level, and render the panoramic image using the prompt color to generate a risk heat map; A linking unit, used for collecting environmental data of the project and linking the environmental data to the panoramic image; The recognition unit is used to input the panoramic image into a pre-built convolutional neural network to recognize construction features, wherein the construction features at least include: construction equipment, signboards and construction fences.

[0014] Furthermore, the acquisition module includes: A construction unit, used to establish a mapping between the RFID tag and the construction personnel, obtain the identity data of the construction personnel, and construct an entry and exit management table; An establishing unit, used for dividing the panoramic image into a plurality of partitions, and establishing a corresponding relationship between the partitions and the construction personnel; The integration unit is used to integrate the corresponding relationship and the communication relationship, determine whether there is an unknown visitor in the partition, if yes, trigger the reminder strategy, if not, update the access management table.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By drawing the inspection route, the moving route of the panoramic camera can be determined, the repeated collection of image data can be avoided, and the viewing angle deviation can be reduced. By drawing the panoramic image, the progress of the project can be fully and intuitively displayed, the evaluation process can be simplified, and the decision-making efficiency can be improved. By determining the change characteristics, real-time images at the construction sites can be collected, so that the panoramic images can be updated in time to reduce information errors. By comparing the standard progress and the panoramic image, the construction progress can be grasped in time, and the gap between the actual progress and the standard progress can be quickly identified, providing a data basis for the project progress evaluation. By determining the activation window, the construction sites that have not been inspected on time can be found, thereby ensuring the timeliness of the panoramic image and further improving the accuracy of the completion progress evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flowchart of a project completion progress assessment method provided by an embodiment of the present invention; Figure 2 A first sub-flow chart of a project completion progress assessment method provided by an embodiment of the present invention; Figure 3 A second sub-flow chart of the project completion progress assessment method provided by an embodiment of the present invention; Figure 4 A third sub-flow chart of the project completion progress assessment method provided by the embodiment of the present invention; Figure 5 A fourth sub-flow chart of the project completion progress assessment method provided by an embodiment of the present invention; Figure 6 A block diagram of the project completion progress assessment system provided by an embodiment of the present invention; Figure 7 A block diagram of the composition of the marking module in the project completion progress assessment system provided by an embodiment of the present invention; Figure 8 A block diagram of the composition of the acquisition module in the project completion progress assessment system provided by an embodiment of the present invention; Fig. 9 A block diagram of the composition of a judgment module in a project completion progress assessment system provided by an embodiment of the present invention; Fig.10 A block diagram of the composition of a sending module in a project completion progress assessment system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In Example 1, Figure 1 The implementation process of the project completion progress assessment method provided by the embodiment of the present invention is shown and described in detail below: S100: Obtain a construction plan of the project, delineate construction sites, connect to obtain an inspection route for progress assessment, use a panoramic camera to collect image data of the inspection route, stitch together to obtain a panoramic image, and mark the construction sites in the panoramic image.

[0019] Obtain the construction plan, determine the construction distribution, mark the construction points, select the inspection starting point based on the distribution of the construction points, and connect all the construction points in sequence according to the shortest path principle to obtain the inspection route; in actual use, use image recognition and path planning algorithms to dynamically adjust the inspection route to adapt to the real-time update of the completion progress.

[0020] A panoramic camera is used to collect image data along the inspection route. According to the stitching algorithm in the prior art, the scattered image data is integrated into a continuous panoramic image, and the construction points are marked in the panoramic image, where a different marking color or shape is set for each construction point.

[0021] S200: reading the change characteristics from the construction point, determining the deployment position of the card reader, obtaining the use authority of the RFID tag pre-integrated in the safety helmet, establishing a communication relationship between the card reader and the RFID tag, and embedding a trigger rule into the card reader; The trigger rule is as follows: when the card reader detects the RFID tag through the radio frequency signal, the camera in the helmet is activated to collect the real-time image at the deployment location.

[0022] At each construction site, the construction object is identified and defined as a variable feature (for example, steel bars, pipelines, electromechanical equipment, and infrastructure); at the variable feature, a card reader is deployed, where the card reader is mainly used to read and identify the data in the RFID tag; in actual use, the card reader emits a radio frequency signal to form an electromagnetic field. When the RFID tag enters the effective range of the card reader, the tag antenna receives the signal and is activated, and the RFID tag uses radio frequency energy to send the data stored inside it; when a construction worker wearing a helmet with an integrated RFID tag enters the effective range of the card reader, the card reader detects the RFID tag through the radio frequency signal, activates the camera module in the helmet, and starts the real-time image acquisition function.

[0023] S300: Determine whether there are change features in the real-time image. If yes, perform feature matching on the panoramic image and the real-time image, reconstruct the panoramic image using the real-time image, obtain the standard progress of the project, compare the standard progress and the panoramic image, generate an evaluation report, and send the evaluation report to a preset terminal.

[0024] In actual use, construction workers enter the effective range of the card reader and collect real-time images at the deployment location. However, the real-time image may not necessarily contain all the details of the changing features; therefore, it is necessary to determine whether there are changing features in the real-time image; if so, first, extract the key feature points in the real-time image, such as edges, corners, textures, etc., and compare and match the key feature points with the changing features in the panoramic image; then, use the image registration algorithm to perform image geometric transformation (such as affine transformation, perspective transformation, etc.) on the matched key feature points, and adjust the position and viewing angle of the real-time image to the corresponding position in the panoramic image, thereby realizing the reconstruction and update of the panoramic image.

[0025] Obtain the standard progress of the project, which includes the scheduled completion time, task requirements and progress nodes of each construction phase, and use image recognition algorithms in combination with panoramic images to evaluate the actual completion status of each construction site (this step can also be performed by professionals); fill the evaluation results into the pre-built template, generate an evaluation report, and send the evaluation report to the preset terminal, where the preset terminal is the project engineering manager terminal.

[0026] S400: Establish an activation window for the communication relationship, set a waiting time, build a corresponding relationship between the deployment position and the waiting time, determine whether the trigger rule is activated within the waiting time, if not, integrate the deployment position and the waiting time, generate an alarm message, and send the alarm message to a preset terminal.

[0027] In this embodiment, there is still a problem, that is: if no construction personnel enter a certain construction site for a long time, then it is impossible to evaluate the completion progress of the construction site; therefore, a corresponding activation window is configured for the card reader at the construction site, where the activation window is the inspection period of the card reader; if the card reader does not read the RFID tag signal during the period corresponding to the activation window, it means that no inspection personnel have entered the deployment location; in other words, the inspection personnel have not inspected the construction site on time; calculate the duration of the untimely inspection, that is, the waiting time; if no other construction personnel enter the deployment site during the waiting time, use the deployment site and the waiting time to generate an alarm message, and send the alarm message to the project engineering management personnel terminal.

[0028] For example, the existing deployment point A corresponds to two activation windows: 10:30-11:00 and 15:00-15:30. Inspector A is responsible for inspecting the construction site according to the inspection route. If the card reader does not receive A's RFID tag between 10:30 and 11:00, it means that A did not inspect A on time. It continues to determine whether there are other construction workers entering A between 10:30 and 11:00. If not, an alarm message is directly generated.

[0029] In this embodiment, in order to increase the updating frequency of the panoramic image, the patrol personnel should be trained in advance to ensure that the patrol personnel can use the camera in their helmet to accurately collect real-time images of changing features.

[0030] In Example 2, Figure 2 The implementation process of the project completion progress assessment method provided by the embodiment of the present invention is shown. The steps of obtaining the construction plan of the project, delineating the construction points, and connecting the inspection route for progress assessment are described in detail as follows: S101: Obtain optimization factors of the inspection route, wherein the optimization factors at least include obstacles and material stacking, and use the optimization factors to offset the inspection route.

[0031] After the inspection route is determined, the optimization factors that affect the inspection route are determined, such as obstacles and material stacking; in other words, the inspection route is adjusted according to the optimization factors.

[0032] S102: Draw an inspection schedule, wherein the inspection schedule consists of an inspection route item, an activation window item, and a personnel item.

[0033] Projects usually occupy a large area and a wide range of construction areas, which may involve multiple construction sites, work areas and related facilities. Therefore, multiple inspection routes are formulated, and each inspection route corresponds to an inspection schedule. The activated window item in the inspection schedule is the time when each deployment point should be inspected.

[0034] In Example 3, Figure 2 The implementation process of the project completion progress assessment method provided by the embodiment of the present invention is shown and described in detail below: S103: Clustering the construction sites into several risk levels, wherein the risk levels include at least high, medium and low, and defining the construction sites corresponding to the high risk level as additional locations.

[0035] Determine the risk level of each construction site, where the higher the risk level, the greater the probability of an accident; define the construction sites corresponding to the high risk level as additional locations, and deploy card readers at the additional locations.

[0036] S104: When the construction personnel enter the additional location, a preset reminder strategy is initiated via the communication relationship.

[0037] When the construction worker enters the effective range of the card reader at the additional position, a communication relationship is established between the card reader and the construction worker's RFID tag, and a reminder strategy is started to remind the construction worker to pay attention to safety; the reminder strategy can be to use a buzzer at the construction site to issue a warning sound.

[0038] S105: Determine a prompt color corresponding to each risk level, and use the prompt color to render the panoramic image to generate a risk heat map.

[0039] After determining the risk level of each construction site, a prompt color is set for each risk level, and the prompt color is marked on the panoramic image to integrate and generate a risk heat map.

[0040] In Example 4, Figure 2 The implementation process of the project completion progress assessment method provided by an embodiment of the present invention is shown. The following is a detailed description of the steps of using a panoramic camera to collect image data of the inspection route, stitching to obtain a panoramic image, and marking the construction points in the panoramic image, as follows: S106: Collect environmental data of the project and link the environmental data to the panoramic image.

[0041] Collect environmental data of the project, including meteorological data, air quality data, noise data, etc.; link the environmental data to the panoramic image. The advantage of this is that the environmental data of the required area can be quickly queried.

[0042] S107: Input the panoramic image into a pre-built convolutional neural network to identify construction features, wherein the construction features include at least: construction equipment, signboards, and construction fences.

[0043] Through the multi-layer convolution of the convolutional neural network, the construction features in the panoramic image are extracted; the convolutional neural network needs to learn through a large amount of training data to ensure that it can accurately extract construction features from the panoramic image.

[0044] In Example 5, Figure 3 The implementation process of the project completion progress assessment method provided by the embodiment of the present invention is shown. The steps of obtaining the use authority of the RFID tag pre-integrated in the helmet and establishing the communication relationship between the card reader and the RFID tag are described in detail as follows: S201: Establish a mapping between the RFID tag and the construction personnel, obtain the identity data of the construction personnel, and construct an entry and exit management table.

[0045] Each construction worker is assigned an RFID tag, which contains unique coding information related to the construction worker's identity, and a corresponding relationship is established between the unique coding information and the construction worker's identity data; when the card reader detects the RFID tag, it reads the unique coding information therein, and determines the construction worker's identity data based on the corresponding relationship, and records the corresponding time at the same time, integrates the identity data and time, and obtains an access management table, which can also be understood as a collection of access management records.

[0046] S202: Divide the panoramic image into a plurality of partitions, and establish a corresponding relationship between the partitions and construction personnel.

[0047] According to the task allocation of the actual project, the panoramic image is segmented into multiple partitions, each of which is in charge of one or more construction workers.

[0048] S203: Integrate the corresponding relationship and the communication relationship to determine whether there is an unknown visitor in the partition, if yes, trigger the reminder strategy, if no, update the access management table.

[0049] Determine whether there are unknown visitors in the partition. If so, start the reminder strategy to drive away the unknown visitors. If there are no unknown visitors, update the entry and exit management table.

[0050] In Example 6, Figure 4 The implementation process of the project completion progress assessment method provided by the embodiment of the present invention is shown. The following is a detailed description of the steps of performing feature matching on the panoramic image and the real-time image and reconstructing the panoramic image using the real-time image, as follows: S301: Create an image difference detection model, input the panoramic image and the real-time image into the image difference detection model, and output a difference item.

[0051] The panoramic image and the real-time image are input into the image difference detection model, and the difference items are output, where the difference items are the parts that are different in the same area of ​​the panoramic image and the real-time image; the image difference detection model is generated based on a convolutional neural network, which can use the pixel differences, feature map differences or depth information of the panoramic image and the real-time image to analyze and extract different parts (difference items); the difference items are usually inconsistencies in color, texture or brightness.

[0052] S302: Using a Poisson image editing algorithm, stitch the difference items into the panoramic image and optimize the result.

[0053] The difference items and the panoramic image are spliced ​​using the Poisson image editing algorithm or other image fusion technology in the existing technology. The Poisson image editing uses the gradient information of the real-time image to seamlessly splice the difference items with the panoramic image while maintaining a smooth transition of the fused image. The result optimization includes: edge smoothing, color correction and detail enhancement of the fused image.

[0054] In Example 7, Figure 5 The implementation process of the project completion progress assessment method provided by the embodiment of the present invention is shown. The steps of integrating the deployment location and the waiting time to generate the alarm information are described in detail as follows: S401: configuring a weight corresponding to each risk level, and calculating the total number of warning information corresponding to each construction point.

[0055] Assign a weight to each risk level, record the warning information corresponding to each construction point, and count the total number of warning information.

[0056] S402: Integrate the weights and the totals to calculate the risk factor of each construction site.

[0057] Multiply the total by the weight to get the risk coefficient of the construction site. The larger the risk coefficient, the greater the possibility of an accident at the construction site. The risk coefficient is a further quantification of the risk level.

[0058] S403: Determine whether the risk factor is greater than a threshold, and if so, initiate a preset handling rule.

[0059] If the risk factor is greater than the threshold, the disposal rules are activated; the disposal rules are specific methods to reduce the risk factor, such as notifying inspection personnel to go and handle it.

[0060] Figure 6 The following is a structural block diagram of a project completion progress evaluation system provided by an embodiment of the present invention. The project completion progress evaluation system 1 includes: The marking module 11 is used to obtain the construction plan of the project, delineate the construction points, connect to obtain the inspection route for progress assessment, use a panoramic camera to collect image data of the inspection route, and stitch it to obtain a panoramic image, and mark the construction points in the panoramic image; The acquisition module 12 is used to read the change characteristics from the construction point, determine the deployment position of the card reader, obtain the use authority of the RFID tag pre-integrated in the safety helmet, establish a communication relationship between the card reader and the RFID tag, and embed a trigger rule into the card reader, wherein the trigger rule is: when the card reader detects the RFID tag through the radio frequency signal, activate the camera in the safety helmet to collect the real-time image at the deployment position; The judgment module 13 is used to judge whether there are change features in the real-time image data. If yes, perform feature matching on the panoramic image and the real-time image, reconstruct the panoramic image using the real-time image, obtain the standard progress of the project, compare the standard progress with the panoramic image, generate an evaluation report, and send the evaluation report to a preset terminal; The sending module 14 is used to establish an activation window for the communication relationship, create a timer corresponding to the activation window, set a waiting time, build a corresponding relationship between the deployment position and the waiting time, determine whether the trigger rule is started within the waiting time, and if not, integrate the deployment position and the waiting time, generate an alarm message, and send the alarm message to a preset terminal.

[0061] Figure 7 The structure diagram of the project completion progress assessment system provided by the embodiment of the present invention is shown, and the marking module 11 includes: The offset unit 111 is used to obtain the optimization factors of the inspection route, wherein the optimization factors at least include: obstacles and material stacking, and use the optimization factors to offset the inspection route; A drawing unit 112, used for drawing an inspection schedule, wherein the inspection schedule is composed of an inspection route item, an activation window item and a personnel item; A clustering unit 113 is used to cluster the construction sites into several risk levels, wherein the risk levels include at least: high, medium and low, and define the construction sites corresponding to the high risk level as additional locations; A reminder unit 114, configured to start a preset reminder strategy via the communication relationship when the construction personnel enter the additional location; A generating unit 115 is used to determine a prompt color corresponding to each risk level, and render the panoramic image using the prompt color to generate a risk heat map; A linking unit 116, for collecting environmental data of the project and linking the environmental data to the panoramic image; The recognition unit 117 is used to input the panoramic image into a pre-built convolutional neural network to recognize construction features, wherein the construction features at least include: construction equipment, signboards and construction fences.

[0062] Figure 8 The structure diagram of the project completion progress assessment system provided by the embodiment of the present invention is shown, and the acquisition module 12 includes: A construction unit 121 is used to establish a mapping between the RFID tag and the construction personnel, obtain the identity data of the construction personnel, and construct an entry and exit management table; An establishing unit 122, used for dividing the panoramic image into a plurality of partitions, and establishing a corresponding relationship between the partitions and the construction personnel; The integration unit 123 is used to integrate the corresponding relationship and the communication relationship, and determine whether there is an unknown visitor in the partition. If yes, the reminder strategy is triggered; if not, the access management table is updated.

[0063] Fig. 9 The structure diagram of the project completion progress evaluation system provided by the embodiment of the present invention is shown, and the judgment module 13 includes: The output unit 131 is used to create an image difference detection model, input the panoramic image and the real-time image into the image difference detection model, and output a difference item; The optimization unit 132 is used to use a Poisson image editing algorithm to stitch the difference items into the panoramic image and optimize the result.

[0064] Fig.10 The structure diagram of the project completion progress assessment system provided by the embodiment of the present invention is shown, and the sending module 14 includes: A statistical unit 141 is used to configure a weight corresponding to each risk level and to count the total number of warning information corresponding to each construction point; A calculation unit 142 is used to integrate the weight and the total to calculate the risk coefficient of each construction point; The handling unit 143 is used to determine whether the risk factor is greater than a threshold value, and if so, to initiate a preset handling rule.

[0065] The marking module 11 is mainly used to complete step S100, the collecting module 12 is mainly used to complete step S200, the judging module 13 is mainly used to complete step S300, and the sending module 14 is mainly used to complete step S400; The offset unit 111 is mainly used to complete step S101, the drawing unit 112 is mainly used to complete step S102, the clustering unit 113 is mainly used to complete step S103, the reminder unit 114 is mainly used to complete step S104, the generation unit 115 is mainly used to complete step S105, the linking unit 116 is mainly used to complete step S106, and the identification unit 117 is mainly used to complete step S107; The construction unit 121 is mainly used to complete step S201, the establishment unit 122 is mainly used to complete step S202, and the integration unit 123 is mainly used to complete step S203; The output unit 131 is mainly used to complete step S301, and the optimization unit 132 is mainly used to complete step S302; The statistical unit 141 is mainly used to complete step S401, the calculation unit 142 is mainly used to complete step S402, and the handling unit 143 is mainly used to complete step S403.

[0066] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0067] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A project completion progress assessment method, characterized in that: The method comprises: Obtain the construction plan of the project, delineate the construction points, connect to obtain the inspection route for progress assessment, use a panoramic camera to collect image data of the inspection route, and stitch them together to obtain a panoramic image, and mark the construction points in the panoramic image; Read the change characteristics from the construction point, determine the deployment position of the card reader, obtain the use authority of the RFID tag pre-integrated in the safety helmet, establish the communication relationship between the card reader and the RFID tag, and embed the trigger rules into the card reader; The triggering rule is: when the card reader detects the RFID tag through the radio frequency signal, the camera in the helmet is activated to collect the real-time image at the deployment location; Determine whether there are any change features in the real-time image, and if so, perform feature matching on the panoramic image and the real-time image, reconstruct the panoramic image, obtain the standard progress of the project, compare the standard progress with the panoramic image, generate an evaluation report, and send the evaluation report to a preset terminal; Establish an activation window for the communication relationship, set a waiting time, build a corresponding relationship between the deployment position and the waiting time, determine whether the trigger rule is activated within the waiting time, if not, integrate the deployment position and the waiting time, generate an alarm message, and send the alarm message to a preset terminal.

2. The project completion progress assessment method according to claim 1 is characterized in that: The steps of obtaining the construction plan of the project, delineating the construction points, and connecting the inspection route for progress evaluation include: Obtaining optimization factors of the inspection route, wherein the optimization factors at least include: obstacles and material stacking, and using the optimization factors to offset the inspection route; An inspection schedule is drawn, wherein the inspection schedule consists of an inspection route item, an activation window item, and a personnel item.

3. The project completion progress assessment method according to claim 1 is characterized in that: The method further comprises: Clustering the construction sites into several risk levels, wherein the risk levels include at least: high, medium and low, and defining the construction sites corresponding to the high risk level as additional locations; When the construction personnel enter the additional location, a preset reminder strategy is initiated via the communication relationship; Determine a prompt color corresponding to each risk level, use the prompt color to render the panoramic image, and generate a risk heat map.

4. The project completion progress assessment method according to claim 1 is characterized in that: The steps of using a panoramic camera to collect image data of the inspection route, stitching together a panoramic image, and marking the construction points in the panoramic image include: Collect environmental data of the project and link the environmental data to the panoramic image; The panoramic image is input into a pre-built convolutional neural network to identify construction features, wherein the construction features include at least: construction equipment, signboards and construction fences.

5. The project completion progress assessment method according to claim 3 is characterized in that: The steps of obtaining the use authority of the RFID tag pre-integrated in the helmet and establishing a communication relationship between the card reader and the RFID tag include: Establishing a mapping between the RFID tags and the construction personnel, obtaining the identity data of the construction personnel, and constructing an access management table; Dividing the panoramic image into a plurality of partitions, and establishing a corresponding relationship between the partitions and the construction personnel; Integrate the corresponding relationship and the communication relationship to determine whether there is an unknown visitor in the partition. If yes, trigger the reminder strategy; if not, update the access management table.

6. The project completion progress assessment method according to claim 1 is characterized in that: The step of performing feature matching on the panoramic image and the real-time image and reconstructing the panoramic image using the real-time image comprises: Creating an image difference detection model, inputting the panoramic image and the real-time image into the image difference detection model, and outputting a difference item; The difference items are spliced ​​into the panoramic image using a Poisson image editing algorithm, and the result is optimized.

7. The project completion progress assessment method according to claim 3 is characterized in that: The step of integrating the deployment position and the waiting time to generate the alarm information comprises: Configure the weight corresponding to each risk level, and count the total number of warning information corresponding to each construction point; Integrate the weights and totals to calculate the risk factor of each construction site; Determine whether the risk factor is greater than a threshold, and if so, initiate a preset handling rule.

8. A project completion progress assessment system, characterized in that: The system comprises: The marking module is used to obtain the construction plan of the project, delineate the construction points, connect the inspection route for progress assessment, use the panoramic camera to collect image data of the inspection route, and stitch it to obtain a panoramic image, and mark the construction points in the panoramic image; The acquisition module is used to read the change characteristics from the construction point, determine the deployment position of the card reader, obtain the use authority of the RFID tag pre-integrated in the safety helmet, establish a communication relationship between the card reader and the RFID tag, and embed a trigger rule into the card reader, wherein the trigger rule is: when the card reader detects the RFID tag through the radio frequency signal, activate the camera in the safety helmet to collect the real-time image at the deployment position; a judgment module, configured to judge whether there are change features in the real-time image, and if so, to perform feature matching on the panoramic image and the real-time image, to reconstruct the panoramic image using the real-time image, to obtain a standard progress of the project, to compare the standard progress with the panoramic image, to generate an evaluation report, and to send the evaluation report to a preset terminal; The sending module is used to establish an activation window for the communication relationship, set a waiting time, build a corresponding relationship between the deployment position and the waiting time, determine whether the trigger rule is started within the waiting time, and if not, integrate the deployment position and the waiting time, generate an alarm message, and send the alarm message to a preset terminal.

9. The project completion progress evaluation system according to claim 8, characterized in that: The marking module comprises: An offset unit, used to obtain optimization factors of the inspection route, wherein the optimization factors at least include: obstacles and material stacking, and offset the inspection route using the optimization factors; A drawing unit, used for drawing an inspection schedule, wherein the inspection schedule consists of an inspection route item, an activation window item and a personnel item; A clustering unit, used for clustering the construction sites into several risk levels, wherein the risk levels include at least: high, medium and low, and defining the construction sites corresponding to the high risk level as additional locations; A reminder unit, used to start a preset reminder strategy via the communication relationship when the construction personnel enter the additional position; A generating unit, used to determine a prompt color corresponding to each risk level, and render the panoramic image using the prompt color to generate a risk heat map; A linking unit, used for collecting environmental data of the project and linking the environmental data to the panoramic image; The recognition unit is used to input the panoramic image into a pre-built convolutional neural network to recognize construction features, wherein the construction features at least include: construction equipment, signboards and construction fences.

10. The project completion progress evaluation system according to claim 9, characterized in that: The acquisition module comprises: A construction unit, used to establish a mapping between the RFID tag and the construction personnel, obtain the identity data of the construction personnel, and construct an entry and exit management table; An establishing unit, used for dividing the panoramic image into a plurality of partitions, and establishing a corresponding relationship between the partitions and the construction personnel; The integration unit is used to integrate the corresponding relationship and the communication relationship, determine whether there is an unknown visitor in the partition, if yes, trigger the reminder strategy, if not, update the access management table.

Images