Building project credibility evaluation method and device, electronic equipment and storage medium

Abstract

The invention discloses a building project credibility evaluation method and device, electronic equipment and a storage medium, and relates to the field of credit evaluation, and the method comprises the steps: obtaining external point cloud data of a target building project through target detection equipment; according to the external point cloud data, obtaining external features of the target construction project; wherein the external features comprise color parameters and volume density; obtaining the project progress of the target building project according to the external characteristics of the target building project; and obtaining a credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project. According to the technical scheme provided by the embodiment of the invention, automatic acquisition of the credibility evaluation result of the building project is realized, the updating efficiency of the credibility evaluation result is improved, subjective evaluation errors are avoided, the actual progress degree of the building project is accurately restored, and the reliability of the credibility evaluation result of the building project is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of credit evaluation, and in particular to a construction project credibility evaluation method, device, electronic equipment and storage medium. Background Art

[0002] As an important part of the financial services provided by financial institutions, cooperative projects are of great significance in preventing information asymmetry and controlling default risks.

[0003] In the existing technology, for the management of financial institution cooperation projects, especially construction cooperation projects, special supervisors are usually set up. Through regular inspections by supervisors, they visit the construction project site to timely obtain the on-site dynamics of the construction project. Then, an evaluation report of the construction project is generated based on the results of the on-site inspection. Finally, the credibility evaluation results of the construction project are obtained through evaluation reports obtained through multiple inspections at different time periods.

[0004] However, this evaluation method not only consumes a lot of manpower and time costs, but also has a poor efficiency in updating the evaluation results. It also relies entirely on the subjective evaluation of supervisors, making it difficult to accurately reflect the actual progress of the construction project, and the evaluation results have large errors. Summary of the Invention

[0005] The present invention provides a construction project credibility evaluation method, device, electronic equipment and storage medium to solve the problem of large errors in efficiency results of construction project credibility evaluation.

[0006] According to one aspect of the present invention, a construction project credibility evaluation method is provided, comprising:

[0007] Acquire external point cloud data of the target building project through target detection equipment;

[0008] Acquire external features of the target building project according to the external point cloud data; wherein the external features include color parameters and volume density;

[0009] Obtaining a project progress of the target construction project according to the external characteristics of the target construction project;

[0010] A credibility evaluation result of the target building project is obtained according to the current project progress and the initial project progress of the target building project.

[0011] The obtaining of the external features of the target building project based on the external point cloud data includes: obtaining the external point cloud data of the target building project again through the target detection device, and obtaining intersection point cloud data of two adjacent external point cloud data; and obtaining the external features of the target building project based on the intersection point cloud data.

[0012] The obtaining of a credibility evaluation result of the target building project based on the current project progress and the initial project progress of the target building project includes: obtaining an evaluation report of the target building project and obtaining subjective credibility based on the evaluation report; obtaining objective credibility of the target building project based on the current project progress and the initial project progress of the target building project; and obtaining a credibility evaluation result of the target building project based on the subjective credibility and the objective credibility of the target building project.

[0013] The obtaining of the project progress of the target building project based on the external features of the target building project includes: obtaining a set of first building projects matching the target building project, and obtaining the external features of each first building project in the first building project set at different evaluation stages; obtaining a proportional relationship between a color parameter weight and a volume density weight at different evaluation stages based on the external features of each first building project at different evaluation stages; and obtaining the project progress of the target building project based on the external features of the target building project and the proportional relationship between the color parameter weight and the volume density weight at the current evaluation stage.

[0014] The obtaining of the project progress of the target building project based on the external features of the target building project includes: obtaining internal point cloud data of the target building project through the target detection device; obtaining internal features of the target building project based on the internal point cloud data of the target building project; and obtaining the project progress of the target building project based on the external features and internal features of the target building project.

[0015] The obtaining of the project progress of the target building project based on the external features and internal features of the target building project further includes: obtaining a set of second building projects matching the target building project, and obtaining the external features and internal features of each second building project in the second building project set at different evaluation stages; obtaining a proportional relationship between external feature weights and internal feature weights at different evaluation stages based on the external features and internal features of each second building project at different evaluation stages; and obtaining the project progress of the target building project based on the external features and internal features of the target building project and the proportional relationship between the external feature weights and internal feature weights at the current evaluation stage.

[0016] According to another aspect of the present invention, there is provided a construction project credibility evaluation device, comprising:

[0017] A point cloud data acquisition module is used to acquire external point cloud data of a target building project through a target detection device;

[0018] An external feature acquisition module, configured to acquire external features of the target building project based on the external point cloud data; wherein the external features include color parameters and volume density;

[0019] A project progress acquisition module, configured to acquire the project progress of the target construction project according to the external characteristics of the target construction project;

[0020] The evaluation result acquisition module is used to obtain the credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project.

[0021] According to another aspect of the present invention, an electronic device is provided, comprising:

[0022] at least one processor; and

[0023] a memory communicatively connected to the at least one processor; wherein,

[0024] The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the construction project credibility evaluation method according to any embodiment of the present invention.

[0025] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the construction project credibility evaluation method according to any embodiment of the present invention when executed.

[0026] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method for evaluating the credibility of a construction project according to any embodiment of the present invention is implemented.

[0027] The technical solution of the embodiment of the present invention first obtains external point cloud data of the target building project through the target detection device; secondly, obtains the external features of the target building project based on the external point cloud data; then, obtains the project progress of the target building project based on the external features of the target building project; and finally, obtains the credibility evaluation result of the target building project based on the current project progress and initial project progress of the target building project. This not only realizes the automatic acquisition of the credibility evaluation results of the building project, reduces the labor and time costs of the sampling process, and improves the updating efficiency of the credibility evaluation results, but also avoids the existence of subjective evaluation errors, accurately restores the actual progress of the building project, and greatly improves the reliability of the credibility evaluation results of the building project.

[0028] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 This is a flow chart of a construction project credibility evaluation method provided according to the first embodiment of the present invention;

[0031] Figure 2 is a flow chart of another construction project credibility evaluation method provided according to the second embodiment of the present invention;

[0032] Figure 3 This is a flow chart of another construction project credibility evaluation method provided in accordance with the third embodiment of the present invention;

[0033] Figure 4 2 is a schematic structural diagram of a construction project credibility evaluation device provided according to a fourth embodiment of the present invention;

[0034] Figure 5 The figure is a schematic structural diagram of an electronic device for implementing the construction project credibility evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0036] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0037] Example 1

[0038] Figure 1 This is a flow chart of a construction project credibility evaluation method provided in the first embodiment of the present invention. This embodiment is applicable to the case where a credibility evaluation result of a construction project is obtained based on the external point cloud data of the construction project. The method can be executed by a construction project credibility evaluation device in any embodiment of the present invention. The construction project credibility evaluation device can be implemented in the form of hardware and / or software. The construction project credibility evaluation device can be configured in an evaluation system, and the evaluation system is configured in an electronic device such as a server, such as Figure 1 As shown, the method includes:

[0039] S101. Acquire external point cloud data of a target building project through a target detection device.

[0040] The target building project refers to a physical building project submitted by a user and requiring review or evaluation. Point cloud data refers to a set of vectors in a three-dimensional coordinate system. In an embodiment of the present invention, external point cloud data refers to point cloud data of the external contour obtained when a target detection device moves around the outside of the target building project. The target detection device may be a movable device (e.g., a drone) equipped with a laser radar, which has a pre-configured movement trajectory around the target building project and obtains external point cloud data of the target building project through the laser radar. The evaluation system needs to obtain external point cloud data of the target building project through the target detection device regularly or irregularly.

[0041] The sampling data obtained by the target detection device at each collection point is expressed in the form of (X, θ, ψ); where X = (x, y, z) represents the coordinates within the measurement scene, that is, x, y, z represent the coordinates in the horizontal, vertical, and height directions, respectively; θ represents the horizontal angle between the line between the target detection point and the lidar and the lidar angle measurement normal; ψ represents the vertical angle between the line between the target detection point and the lidar and the lidar angle measurement normal; where the line between the target detection point and the lidar actually refers to the line between the target detection point and the lidar calibration plate; the lidar angle measurement normal is the axis perpendicular to the radar antenna plane.

[0042] After the target detection device obtains the external point cloud data of the target building project, in order to ensure the accuracy of the external point cloud data, the external point cloud data can be preprocessed as follows: first, according to the coordinate information of the area of ​​interest (that is, the area where the target building project is located), the obstacle points that are not in the area of ​​interest (for example, tree branches and the ground, etc.) are eliminated, and the information of the area of ​​interest is retained; secondly, the plane where the lidar is located (that is, the xy axis plane) is defined as the reference plane, and the grid point cloud height is calculated. According to the grid point cloud height, each point is judged as the ground, tree branches, debris or building, and the point data of the ground, tree branches and debris are eliminated, and only the building data is retained.

[0043] Then, cluster the points in the x-axis direction based on the distance difference between the points. Based on this, cluster the points in the y-axis direction based on the distance difference between the points. This outputs a set of obstacle point clusters. Then, using a related clustering algorithm, such as the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm, each obstacle point set is clustered separately to complete the classification and removal of obstacle points.

[0044] Finally, the signal amplitude, signal-to-noise ratio, scattering surface, signal power and signal energy obtained from the feedback signal are used to extract clustered point cloud features, including point cloud discrete distance, point cloud three-dimensional covariance matrix and inertia tensor matrix; among them, the point cloud discrete distance mainly represents the degree of deviation of the edge point cloud; the point cloud three-dimensional covariance matrix represents the correlation of the point cloud in each direction, and the eigenvalue represents the weight of the direction; the inertia tensor matrix represents the stability of the overall distribution of the point cloud and is used to eliminate the influence of noise; thus completing the preprocessing process of the external point cloud data.

[0045] S102. Acquire external features of the target building project based on the external point cloud data; wherein the external features include color parameters and volume density.

[0046] The NeRF (Neural Radiance Fields) model is a technology that uses neural networks to represent and render three-dimensional scenes. It implicitly stores information about the 3D model and uses neural networks to simulate the propagation of light and the radiation field of objects, thereby generating three-dimensional images observed from different perspectives. In an embodiment of the present invention, the above-mentioned external point cloud data, that is, the three-dimensional spatial coordinates X (x, y, z) and the two-dimensional viewing angle coordinates (θ, ψ) are used as input information. The multilayer perceptron (MLP) of the NeRF model is used to obtain the volume density σ and color parameters c (r, g, b), respectively. The color parameters and volume density together constitute the external features.

[0047] In particular, the acquisition of volume density σ is independent of the viewing coordinates, while the acquisition of color parameters c(r, g, b) is related to the viewing coordinates; r, g, b represent the red, green, and blue color components, respectively. After obtaining the color parameters and volume density of the target building project through the NeRF model, the color parameters and volume density output by the NeRF model can be converted into two-dimensional or three-dimensional images through volume rendering technology to intuitively display the appearance image of the target building project to the project monitoring personnel.

[0048] Optionally, in an embodiment of the present invention, obtaining the external features of the target building project based on the external point cloud data includes: obtaining the external point cloud data of the target building project again through the target detection device, and obtaining the intersection point cloud data of two adjacent external point cloud data; obtaining the external features of the target building project based on the intersection point cloud data.

[0049] Specifically, for objects flying or floating near a construction project (for example, birds, garbage bags), especially large objects, it may not be possible to determine that the object is an obstacle through the above-mentioned coordinates of the region of interest or the height of the grid point cloud. After clustering, the object may be mistakenly regarded as a component of the target construction project. At this time, the external point cloud data of the target construction project can be obtained again along the same movement trajectory through the target detection equipment.

[0050] Whether it is a flying bird or other floating objects, they will usually disappear or change their location during the next sampling. However, the building project itself will obviously not change its location. Therefore, the intersection result of two adjacent external point cloud data (that is, the intersection point cloud data) is used as the actual point cloud data of the target building project. Then, the color parameters and volume density of the target building project are obtained through the intersection point cloud data, thereby further avoiding the interference of obstacles on the point cloud data collection results, greatly improving the accuracy of the sampling results, and ensuring that the true color parameters and volume density of the target building project are obtained.

[0051] S103: Acquire the project progress of the target construction project according to the external characteristics of the target construction project.

[0052] The project progress reflects the degree of completion of the construction project. The higher the completion degree, the more mature the cooperation project is for financial institutions, and the lower the risk is. The volume density reflects the degree of progress in the exterior structure of the construction project. The greater the volume density, the greater the progress in the exterior structure. The color parameter reflects the degree of progress in the exterior color of the construction project. The larger the color parameter value, the greater the progress in the exterior color. Therefore, the project progress of the target construction project is positively correlated with both the color parameter and the volume density. The project progress can be calculated by querying the mapping table or by using the following equation:

[0053]

[0054] Among them, i represents the detection sequence identifier, V i Indicates the project progress obtained during the i-th inspection; c i represents the color parameter obtained during the i-th detection, which can be the sum, maximum, minimum or weighted mean of each color component; σ i represents the volume density obtained during the i-th detection; a represents the weight of the color parameter, and b represents the weight of the volume density. The values ​​of a and b are pre-configured based on empirical values, and a≤b; the above calculation equation reflects that the project progress is equal to the variance of the color parameter and the volume density.

[0055] S104: Obtain a credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project.

[0056] The initial project progress is the project progress calculated during the first inspection. The difference between the current project progress and the initial project progress indicates the current construction project's progress compared to the first inspection. The ratio of this difference to the current project progress reflects the credibility evaluation result of the target construction project. In fact, since the initial project progress has already been calculated, the larger the current project progress value, the larger the credibility evaluation result value. The two are nonlinearly correlated. In addition, the credibility evaluation result of the target construction project can also be calculated using the following equation:

[0057]

[0058] Among them, n represents the detection sequence identifier of this time, that is, this is the nth detection, V n Indicates the current project progress, that is, the project progress detected this time, P n represents the credibility evaluation result obtained by the current calculation, V1 represents the initial project progress, and ε represents the adjustment coefficient, which is also pre-configured as a fixed value based on empirical values.

[0059] For financial institutions, clients will regard construction projects as cooperative projects and obtain corresponding amounts of funds from financial institutions according to the different stages of the construction projects. Financial institutions can determine the actual degree of completion of the construction projects based on the credibility evaluation results of the construction projects, thereby associating the credibility evaluation results with the provided amount. The specific provided amount is determined through the obtained credibility evaluation results, which not only realizes the progress evaluation of construction projects in cooperation with financial institutions, but also realizes the orderly management of funds, avoiding the occurrence of project default risks.

[0060] Optionally, in an embodiment of the present invention, obtaining a credibility evaluation result of the target building project based on the current project progress and the initial project progress of the target building project includes: obtaining an evaluation report of the target building project and obtaining subjective credibility based on the evaluation report; obtaining objective credibility of the target building project based on the current project progress and the initial project progress of the target building project; and obtaining a credibility evaluation result of the target building project based on the subjective credibility and the objective credibility of the target building project.

[0061] Specifically, external point cloud data evaluates the credibility of the target building project from the dimensions of color and volume. This is an objective evaluation behavior, that is, the objective credibility is calculated. However, in fact, the development of construction projects is also affected by environmental factors (for example, long periods of rain and snow or high temperatures will lead to slower construction progress), human factors (for example, personnel turnover of partners), policy factors and other factors. At the same time, target detection equipment cannot cover all the construction details of the construction project. Therefore, it is also necessary to obtain the evaluation report provided by the monitoring personnel (that is, the subjective evaluation report).

[0062] In the evaluation report, there may be intuitive evaluation results such as evaluation scores or evaluation grades. According to the evaluation scores or evaluation grades, the matching subjective credibility values ​​can be queried through the evaluation mapping table. The subjective evaluation report may also only contain evaluation information, but no intuitive evaluation results such as evaluation scores or evaluation grades. In this case, the subjective evaluation report can be input into the intent recognition model, and the evaluation score or evaluation grade can be output by the intent recognition model as the subjective credibility.

[0063] Therefore, the objective credibility of the construction project can be obtained through the external point cloud data of the construction project. At the same time, the subjective credibility of the construction project can be obtained through the evaluation report provided by the monitoring personnel. Therefore, the credibility evaluation results not only truly reflect the degree of completion of the construction project in terms of external structure and appearance, but also reflect the evaluation results obtained by the monitoring personnel based on various external factors and subjective feelings, which greatly improves the accuracy of the credibility evaluation results.

[0064] In particular, the overall progress of the construction project can be determined based on the current project progress and the initial project progress, but it cannot reflect the actual performance of the construction project in the recent period. There may be a situation where the progress was fast before, but the progress has slowed down in the recent period. In this case, there is actually a higher risk. It is very likely that the construction project has stagnated due to various factors. Therefore, the initial project progress can be used as the starting point and the current project progress as the end point. The project progress obtained each time can be used as an evaluation point to draw a curve of the correlation between project progress and time. For example, the horizontal axis is time and the vertical axis is project progress.

[0065] The above-mentioned correlation change curve intuitively reflects the progress trend of the current construction project, especially the slowdown stage in the curve (for example, the stage with a lower slope), which indicates that the construction project is stagnant or progressing slowly. Based on this, the difference between the project progress obtained in this calculation and the progress of the adjacent previous project is used as the ratio of the current project progress as the credibility evaluation result, which further improves the accuracy of the credibility evaluation result of the target construction project and avoids the phenomenon of obtaining a higher credibility evaluation result by relying on the previously accumulated project progress when the recent progress is stagnant or slow.

[0066] The technical solution of the embodiment of the present invention first obtains external point cloud data of the target building project through the target detection device; secondly, obtains the external features of the target building project based on the external point cloud data; then, obtains the project progress of the target building project based on the external features of the target building project; and finally, obtains the credibility evaluation result of the target building project based on the current project progress and initial project progress of the target building project. This not only realizes the automatic acquisition of the credibility evaluation results of the building project, reduces the labor and time costs of the sampling process, and improves the updating efficiency of the credibility evaluation results, but also avoids the existence of subjective evaluation errors, accurately restores the actual progress of the building project, and greatly improves the reliability of the credibility evaluation results of the building project.

[0067] Example 2

[0068] Figure 2 This is a flow chart of a construction project credibility evaluation method provided by the second embodiment of the present invention. The relationship between this embodiment and the above embodiment is that the proportional relationship between the color parameter weight and the volume density weight is different in different evaluation stages, such as Figure 2 As shown, the method includes:

[0069] S201. Acquire external point cloud data of a target building project through a target detection device.

[0070] S202. Acquire external features of the target building project based on the external point cloud data; wherein the external features include color parameters and volume density.

[0071] S203: Acquire a first construction project set that matches the target construction project, and acquire external features of each first construction project in the first construction project set at different evaluation stages.

[0072] The evaluation stage corresponds to the detection sequence in the above technical solution. Assuming that the detection cycle is one month, the external point cloud data needs to be detected once every month, that is, the external point cloud data is obtained once. Then, correspondingly, the credibility of the building project needs to be evaluated every month, that is, a credibility evaluation result is obtained. If the current external point cloud data of the target building project is detected for the i-th time, then the credibility evaluation result obtained this time is the credibility evaluation result of the i-th evaluation stage.

[0073] Based on evaluation parameters such as the construction scale of the target building project (for example, the volume and floor area marked in the construction drawings), the required amount of funds, and the predicted construction time, multiple historical building projects (i.e., first building projects) that match the target building project are obtained and form a first building project set; wherein the above-mentioned historical building projects are all high-quality projects that were ultimately completed through cooperation. During the cooperation period, the above-mentioned historical building projects will also detect external point cloud data multiple times, and then calculate and obtain external features, project progress, and credibility evaluation results in multiple evaluation stages, based on which the external features of each first building project in the first building project set at different evaluation stages are obtained.

[0074] S204. Obtaining a proportional relationship between a color parameter weight and a volume density weight at different evaluation stages based on external features of each first building project at different evaluation stages.

[0075] For a construction project, the main construction tasks performed are often different in different time periods. For example, at the beginning of construction, the main tasks are laying the foundation and adding the structural frame. Obviously, the weight value of the volume density is much greater than the weight value of the color parameter. In this case, the color parameter weight can even be configured as 0, while the volume density weight is configured as 1.

[0076] As the building continues to rise, especially when it is nearing or after topping out, the main construction task is concentrated on the exterior color processing, that is, the weight of the color parameter gradually increases, and the weight of the volume density gradually decreases. However, since the construction task of volume density is much greater than the task of color parameter, even if the weight of color parameter gradually increases, its value is always less than or equal to the weight of volume density.

[0077] Since each first construction project has a similar construction scale, required funding amount, and predicted construction time to the target construction project, the proportional relationship between the color parameter weight and the volume density weight at different evaluation stages can be obtained based on the external characteristics of each first construction project at different evaluation stages; for example, assuming that the average evaluation stage of each first construction project is divided into 10 stages in total, in evaluation stages 1-4 (i.e., the first four months), the color parameters in the external characteristics do not change much, but the volume density changes significantly. At this time, the proportional relationship between the color parameter weight and the volume density weight can be configured to 0.5 to 9.5.

[0078] In the 5-8 evaluation stages, the color parameters in the external features have small changes, and the volume density still has significant changes. At this time, the ratio of the color parameter weight to the volume density weight can be configured to 1 to 9; in the 9-10 evaluation stages, the color parameters in the external features have obvious changes, and the volume density change slows down. At this time, the ratio of the color parameter weight to the volume density weight can be configured to 5 to 5.

[0079] S205 . Obtain the project progress of the target building project according to the external features of the target building project and the proportional relationship between the color parameter weight and the volume density weight in the current evaluation stage.

[0080] Assuming that the current evaluation stage of the target building project is the third evaluation stage, then according to the current stage, the ratio of the color parameter weight to the volume density weight can be determined to be 0.5 to 9.5. Then, based on the color parameters and volume density of the target building project, as well as the ratio of the color parameter weight to the volume density weight in the current evaluation stage, the project progress of the target building project can be calculated.

[0081] S206: Obtain a credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project.

[0082] The technical solution of the embodiment of the present invention obtains the proportional relationship between the color parameter weight and the volume density weight of the target building project at the current evaluation stage based on the external characteristics of the historical building project at different evaluation stages. This ensures that when the project progress of the target building project is obtained based on the external characteristics of the target building project and the proportional relationship between the color parameter weight and the volume density weight at the current evaluation stage, the calculation result of the current project progress is consistent with the construction task content of the target building project at the current evaluation stage, further improving the credibility evaluation result of the target building project.

[0083] Example 3

[0084] Figure 3This is a flowchart of a construction project credibility evaluation method provided by the third embodiment of the present invention. The relationship between this embodiment and the above embodiments is that the project progress of the target construction project is obtained based on both external point cloud data and internal point cloud data, such as Figure 3 As shown, the method includes:

[0085] S301. Acquire external point cloud data of a target building project through a target detection device.

[0086] S302. Acquire external features of the target building project based on the external point cloud data; wherein the external features include color parameters and volume density.

[0087] S303: Acquire internal point cloud data of the target building project through the target detection device.

[0088] For a construction project, the progress of the building not only includes changes in external volume and color, but also changes in internal structure. Therefore, after obtaining the external point cloud data of the target building project through the target detection device each time, it is necessary to obtain the internal point cloud data of the target building project through the target detection device along different sampling trajectories.

[0089] S304: Acquire internal features of the target building project according to the internal point cloud data of the target building project.

[0090] The internal point cloud data is also sent to the NeRF model to obtain the matching color parameters (i.e., internal color parameters) and volume density (i.e., internal volume density) through the NeRF model; wherein, the internal color parameters and / or internal volume density can be used as internal features; in addition, as described in the above scheme, the proportional relationship between the internal color parameter weight and the internal volume density weight can be obtained by matching the internal features of the historical building project, and then when calculating the project progress according to the internal features, the internal color parameters, internal volume density, and the proportional relationship between the internal color parameter weight and the internal volume density weight can be jointly calculated and obtained.

[0091] In particular, for the exterior of the building, it only needs to be collected once as a whole to obtain the volume density describing the entire appearance, but the internal structure of the building is more complex and needs to be divided into different functional areas according to the architectural characteristics of the current building. Different functional areas require different building structures, and the internal point cloud data sampled and obtained are also different; therefore, when obtaining the internal point cloud data of the target building project through the target detection equipment, the point cloud data of each functional area can be obtained in turn, and the point cloud data of different functional areas can be input into the NeRF model respectively, so as to obtain the internal features of each functional area respectively through the NeRF model, and then the maximum value, minimum value or weighted average value of the internal features of each functional area are used as the internal features of the target building project.

[0092] S305: Acquire the project progress of the target construction project according to the external characteristics and internal characteristics of the target construction project.

[0093] Therefore, the project progress of the target construction project can be calculated based on the sum of the external features and the internal features, or the variance of the external features and the internal features.

[0094] Optionally, in an embodiment of the present invention, obtaining the project progress of the target building project based on the external characteristics and internal characteristics of the target building project further includes: obtaining a set of second building projects matching the target building project, and obtaining the external characteristics and internal characteristics of each second building project in the second building project set at different evaluation stages; obtaining the proportional relationship between the external feature weight and the internal feature weight at different evaluation stages based on the external characteristics and internal characteristics of each second building project at different evaluation stages; and obtaining the project progress of the target building project based on the external characteristics and internal characteristics of the target building project and the proportional relationship between the external feature weight and the internal feature weight at the current evaluation stage.

[0095] Specifically, in the first set of building projects obtained above, some of the first building projects may not involve the collection of internal point cloud data during the evaluation process, that is, they do not involve the calculation and acquisition of internal features. Therefore, the second building project can actually be regarded as the first building project in the first set of building projects, which records internal point cloud data and internal features. The second building projects together constitute the second building project set. Therefore, the second building project set can be regarded as a subset of the first building project set.

[0096] In addition, for a construction project, in different time periods, the main construction tasks performed are not only the difference between external volume density and external color parameters, but also the difference between external operations and internal operations. For example, at the beginning of construction, it is mainly laying the foundation and adding the external structural frame, that is, the main construction tasks are concentrated in the external feature operations. Obviously, at this time the weight of the external feature is much greater than the weight of the internal feature. As the building continues to be added and raised, especially nearing or after the topping-out, the main construction tasks are concentrated in the internal feature operations, that is, the weight of the internal features gradually increases, and the weight of the external features gradually decreases.

[0097] Based on this, the proportional relationship between the external feature weight and the internal feature weight at different evaluation stages can be obtained according to the external features and internal features of each second construction project at different evaluation stages. Finally, the project progress of the target construction project can be calculated based on the external features, internal features and the proportional relationship between the external feature weight and the internal feature weight.

[0098] S306: Obtain a credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project.

[0099] The technical solution of the embodiment of the present invention obtains the external features and internal features of the target building project based on the external point cloud data and the internal point cloud data of the target building project, and then obtains the project progress of the target building project based on the external features and the internal features of the target building project. Then, based on the current project progress and the initial project progress of the target building project, the credibility evaluation result of the target building project is obtained. The project progress calculated based on the internal and external features of the target building project more completely reflects the actual construction status of the target building project, and further improves the accuracy of the credibility evaluation result.

[0100] Example 4

[0101] Figure 4 A structural block diagram of a construction project credibility evaluation device provided in a fourth embodiment of the present invention specifically includes:

[0102] The point cloud data acquisition module 401 is used to acquire external point cloud data of a target building project through a target detection device;

[0103] The external feature acquisition module 402 is configured to acquire external features of the target building project based on the external point cloud data; wherein the external features include color parameters and volume density;

[0104] A project progress acquisition module 403 is configured to acquire the project progress of the target construction project according to the external characteristics of the target construction project;

[0105] The evaluation result acquisition module 404 is configured to acquire a credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project.

[0106] The technical solution of the embodiment of the present invention first obtains external point cloud data of the target building project through the target detection device; secondly, obtains the external features of the target building project based on the external point cloud data; then, obtains the project progress of the target building project based on the external features of the target building project; and finally, obtains the credibility evaluation result of the target building project based on the current project progress and initial project progress of the target building project. This not only realizes the automatic acquisition of the credibility evaluation results of the building project, reduces the labor and time costs of the sampling process, and improves the updating efficiency of the credibility evaluation results, but also avoids the existence of subjective evaluation errors, accurately restores the actual progress of the building project, and greatly improves the reliability of the credibility evaluation results of the building project.

[0107] Optionally, the construction project credibility evaluation device is also used to obtain the external point cloud data of the target construction project again through the target detection device, and obtain the intersection point cloud data of two adjacent external point cloud data; based on the intersection point cloud data, obtain the external features of the target construction project.

[0108] Optionally, the evaluation result acquisition module 404 is further used to obtain an evaluation report of the target building project and obtain subjective credibility based on the evaluation report; obtain objective credibility of the target building project based on the current project progress and initial project progress of the target building project; and obtain a credibility evaluation result of the target building project based on the subjective credibility and objective credibility of the target building project.

[0109] Optionally, the project progress acquisition module 403 is specifically used to obtain a set of first construction projects matching the target construction project, and obtain the external features of each first construction project in the first construction project set at different evaluation stages; obtain the proportional relationship between the color parameter weight and the volume density weight at different evaluation stages based on the external features of each first construction project at different evaluation stages; and obtain the project progress of the target construction project based on the external features of the target construction project and the proportional relationship between the color parameter weight and the volume density weight at the current evaluation stage.

[0110] Optionally, the project progress acquisition module 403 is further used to obtain the internal point cloud data of the target building project through the target detection device; obtain the internal features of the target building project based on the internal point cloud data of the target building project; and obtain the project progress of the target building project based on the external features and internal features of the target building project.

[0111] Optionally, the project progress acquisition module 403 is further specifically used to obtain a set of second construction projects matching the target construction project, and obtain the external features and internal features of each second construction project in the second construction project set at different evaluation stages; obtain the proportional relationship between the external feature weight and the internal feature weight at different evaluation stages based on the external features and internal features of each second construction project at different evaluation stages; and obtain the project progress of the target construction project based on the external features and internal features of the target construction project and the proportional relationship between the external feature weight and the internal feature weight at the current evaluation stage.

[0112] The above-mentioned device can execute the construction project credibility evaluation method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details not fully described in this embodiment, please refer to the construction project credibility evaluation method provided by any embodiment of the present invention.

[0113] Example 5

[0114] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, electronic devices, blade electronic devices, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0115] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0116] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0117] The processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the construction project credibility assessment method.

[0118] In some embodiments, the construction project credibility evaluation method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit. In some embodiments, part or all of the computer program can be loaded and / or installed on a heterogeneous hardware accelerator via a ROM and / or a communication unit. When the computer program is loaded into RAM and executed by a processor, one or more steps of the construction project credibility evaluation method described above can be performed. Alternatively, in other embodiments, the processor can be configured to execute the construction project credibility evaluation method by any other appropriate means (e.g., by means of firmware).

[0119] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0120] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or electronic device.

[0121] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0122] To provide interaction with a user, the systems and techniques described herein can be implemented on a heterogeneous hardware accelerator that has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the heterogeneous hardware accelerator. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0123] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as data electronics), or a computing system that includes middleware components (e.g., application electronics), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0124] A computing system may include a client and an electronic device. The client and electronic device are generally remote from each other and typically interact via a communication network. The client-electronic device relationship is established by computer programs running on the respective computers and establishing a client-electronic device relationship. The electronic device may be a cloud electronic device, also known as a cloud computing electronic device or cloud host, a host product within a cloud computing service ecosystem that addresses the management difficulties and limited business scalability of traditional physical hosts and VPS services.

[0125] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0126] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A construction project credibility evaluation method, characterized in that: include: Acquire external point cloud data of the target building project through target detection equipment; Acquire external features of the target building project according to the external point cloud data; wherein the external features include color parameters and volume density; Obtaining a project progress of the target construction project according to the external characteristics of the target construction project; A credibility evaluation result of the target building project is obtained according to the current project progress and the initial project progress of the target building project.

2. The method according to claim 1, characterized in that The step of obtaining external features of the target building project based on the external point cloud data includes: Acquire the external point cloud data of the target building project again through the target detection device, and obtain the intersection point cloud data of two adjacent external point cloud data; The external features of the target building project are obtained according to the intersection point cloud data.

3. The method according to claim 1, characterized in that The obtaining of a credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project includes: Obtaining an evaluation report of the target construction project, and obtaining a subjective credibility based on the evaluation report; Obtaining objective credibility of the target construction project based on the current project progress and the initial project progress of the target construction project; A credibility evaluation result of the target building project is obtained according to the subjective credibility and objective credibility of the target building project.

4. The method according to claim 1, wherein The obtaining of the project progress of the target construction project according to the external characteristics of the target construction project includes: Acquire a first construction project set that matches the target construction project, and acquire external features of each first construction project in the first construction project set at different evaluation stages; According to the external characteristics of each first building project at different evaluation stages, the proportional relationship between the color parameter weight and the volume density weight at different evaluation stages is obtained; The project progress of the target building project is obtained according to the external features of the target building project and the proportional relationship between the color parameter weight and the volume density weight in the current evaluation stage.

5. The method according to claim 1, wherein The obtaining of the project progress of the target construction project according to the external characteristics of the target construction project includes: Acquire internal point cloud data of the target building project through the target detection device; Acquiring internal features of the target building project based on the internal point cloud data of the target building project; The project progress of the target building project is obtained according to the external characteristics and internal characteristics of the target building project.

6. The method according to claim 5, characterized in that The obtaining of the project progress of the target construction project according to the external characteristics and internal characteristics of the target construction project further includes: Acquire a set of second construction projects matching the target construction project, and acquire external features and internal features of each second construction project in the set of second construction projects at different evaluation stages; According to the external characteristics and internal characteristics of each second building project at different evaluation stages, the proportional relationship between the external characteristic weight and the internal characteristic weight at different evaluation stages is obtained; The project progress of the target building project is obtained according to the external features and internal features of the target building project and the proportional relationship between the external feature weight and the internal feature weight at the current evaluation stage.

7. A construction project credibility evaluation device, characterized in that: include: A point cloud data acquisition module is used to acquire external point cloud data of a target building project through a target detection device; An external feature acquisition module, configured to acquire external features of the target building project based on the external point cloud data; wherein the external features include color parameters and volume density; A project progress acquisition module, configured to acquire the project progress of the target construction project according to the external characteristics of the target construction project; The evaluation result acquisition module is used to obtain the credibility evaluation result of the target building project according to the current project progress and the initial project progress of the target building project.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the construction project credibility evaluation method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the construction project credibility evaluation method according to any one of claims 1 to 6 when executed.

10. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the construction project credibility evaluation method according to any one of claims 1 to 6.

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