Building detection and evaluation method and system, storage medium and electronic equipment

Abstract

The invention provides a building detection and evaluation method and system, a storage medium and electronic equipment, and the method comprises the steps: obtaining the appearance information and the internal structure information of a target to-be-detected building through a preset method, and determining a first building model and a second building model according to the appearance information and the internal structure information; determining a target building model through a preset method according to the first building model and the second building model, and determining a theoretical evaluation result and a defect area through a preset evaluation algorithm according to the target building model; determining a local defect model according to the defect area, the first building model and the second building model, so that an expert remotely determines a local recheck area; and detecting the local recheck area to obtain local building information, determining a local model according to the local building information, and determining an evaluation model according to the local model and the target building model, so that an expert remotely determines an evaluation report. According to the invention, the problem that the accuracy and high efficiency of a building detection evaluation method in the prior art are difficult to guarantee is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of building detection, and in particular to a building detection and evaluation method, system, storage medium and electronic equipment. Background Art

[0002] Due to their years of use, the main structures of some buildings are affected by non-human destructive factors such as natural disasters, sudden changes in external forces, and interference from later human behavior and are beginning to enter the aging stage of facilities. Building structure health monitoring is becoming increasingly important. In order to ensure the normal service life and safety of buildings, quality and safety inspections of buildings are required.

[0003] At present, deformation detection of building walls mainly relies on post-construction inspections and regular inspections, and the inspection methods are mainly visual inspections and other manual measurement methods relying on tools. However, visual inspections and simple manual monitoring mainly rely on personal experience when conducting in-depth inspections on the interior of the structure, and are greatly affected by personal subjective factors. Even if the professional and technical level of the appraisers is high, errors in judgment may occur. To improve accuracy, other auxiliary tools are also needed for detection. However, for large buildings, manual and auxiliary tool measurements require a lot of manpower and material resources to measure the entire building, and detailed scanning and measurement of various parts of the building are required to ensure the accuracy of the collected data, and then accurately evaluate the status of the building. This requires a lot of manpower and time, and is limited to the measurement accuracy and the experience level of the inspectors, and it is difficult to ensure the accuracy and efficiency of building inspection and evaluation. Summary of the invention

[0004] Based on this, the purpose of the present invention is to provide a building inspection and evaluation method, system, storage medium and electronic device, aiming to solve the problem that the building inspection and evaluation methods in the prior art are difficult to ensure accuracy and efficiency.

[0005] A building detection and evaluation method according to an embodiment of the present invention includes:

[0006] Controlling the acquisition device to obtain the appearance information and internal structure information of the target building to be detected by a preset method, and determining the first building model and the second building model respectively according to the appearance information and the internal structure information;

[0007] Determine a target building model by a preset method according to the first building model and the second building model, and determine a theoretical evaluation result and a defect area according to the target building model by a preset evaluation algorithm;

[0008] Determine a local defect model according to the defect area, the first building model and the second building model, so that an expert can remotely determine a local review area according to the local defect model, the target building model and the theoretical evaluation result through a mixed reality platform;

[0009] The acquisition equipment is controlled to detect the local review area to obtain local building information, and a local model is determined according to the local building information. Then, an evaluation model is determined according to the local model and the target building model, so that an expert can remotely determine an evaluation report according to the evaluation model through a mixed reality platform.

[0010] In addition, a building detection and evaluation method according to the above embodiment of the present invention may also have the following additional technical features:

[0011] Furthermore, the acquisition device at least includes an image capturing device and a detection device, and the step of controlling the acquisition device to obtain the appearance information and internal structure information of the target building to be detected by a preset method includes:

[0012] Receiving image information from the image capture device, and determining appearance information of the target building to be detected, wherein the appearance information includes at least outline size information and building exterior surface information;

[0013] According to the outline size information and the drawings of the target building to be detected, an initial model is determined by a modeling program adapted in a preset database, and trajectory information is determined according to the initial model and the model of the detection device;

[0014] The detection device is controlled to move along a specific trajectory according to the trajectory information to obtain the internal structure information of the target building to be detected.

[0015] Furthermore, the step of determining the first building model and the second building model respectively according to the appearance information and the internal structure information includes:

[0016] Determining outer surface features according to the outer surface information of the building, and adjusting the initial model according to the outer surface features to determine the first building model;

[0017] The internal structure features are determined according to the internal structure information, and the initial model is adjusted according to the internal structure features to determine the second building model.

[0018] Furthermore, the step of determining the target building model by a preset method according to the first building model and the second building model comprises:

[0019] Determine a plurality of base points possessed by both the first building model and the second building model;

[0020] The first building model and the second building model are overlapped and arranged according to the base point to determine a difference intersection area, features at the difference intersection area of ​​the first building model and the second building model are removed, and the two models are fitted to determine an initial building model;

[0021] A stress simulation is performed on the initial building model based on the features of the difference intersection area of ​​the first building model as a main factor and the features of the difference intersection area of ​​the second building model as a supplement to determine a target building model.

[0022] Further, the step of determining a local defect model according to the defect area, the first building model and the second building model comprises:

[0023] Adjusting the local defect area according to the local defect area and the appearance information to determine a first defect area block;

[0024] According to a plurality of base points both of the first defective region block and the first building model, the first defective region block and the first building model are overlapped, and then the building model in the first defective region block is intercepted to determine the local defect model corresponding to the first building model;

[0025] Adjusting the local defect area according to the local defect area and the internal structure information to determine a second defect area block;

[0026] According to the multiple base points possessed by the second defective area block and the second building model, the second defective area block and the second building model are overlapped, and then the building model in the second defective area block is intercepted to determine the local defect model corresponding to the second building model.

[0027] Furthermore, the step of enabling the expert to remotely determine the evaluation report according to the evaluation model through the mixed reality platform includes:

[0028] Comparing the evaluation report with the evaluation result to determine a difference area, and determining a local difference model according to the difference area and the local defect model;

[0029] The local difference model and the target building model are compared to determine difference features, and the preset method and the preset evaluation algorithm are modified according to the difference features.

[0030] Furthermore, information transmission of the mixed reality platform is encrypted to generate corresponding encrypted information, and the encrypted information is sent to both ends interacting through the mixed reality platform.

[0031] Another object of the present invention is to provide a building detection and evaluation system, the system comprising:

[0032] A model determination module, used to control the acquisition device to obtain the appearance information and internal structure information of the target building to be detected through a preset method, and determine the first building model and the second building model respectively according to the appearance information and the internal structure information;

[0033] a theoretical evaluation result determination module, configured to determine a target building model by a preset method according to the first building model and the second building model, and to determine a theoretical evaluation result and a defect area according to the target building model by a preset evaluation algorithm;

[0034] a review area determination module, configured to determine a local defect model according to the defect area, the first building model and the second building model, so that an expert can remotely determine a local review area according to the local defect model, the target building model and the theoretical evaluation result through a mixed reality platform;

[0035] The evaluation report determination module is used to control the acquisition equipment to detect the local review area to obtain local building information, and determine the local model based on the local building information, and then determine the evaluation model based on the local model and the target building model, so that the expert can remotely determine the evaluation report based on the evaluation model through the mixed reality platform.

[0036] Another object of an embodiment of the present invention is to provide a storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of the above-mentioned building inspection and evaluation method.

[0037] Another object of an embodiment of the present invention is to provide an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned building inspection and evaluation method when executing the program.

[0038] The present invention, after acquiring the appearance information and internal structure information of the target building to be inspected through the acquisition equipment, establishes corresponding models according to the two information respectively, and then obtains the target building model by integrating and fitting the two models, so that the target building model can be evaluated and simulated according to the corresponding evaluation materials through the preset evaluation algorithm, and the condition of the target building to be inspected and the area where the condition exists are determined, and then the corresponding local defect model is determined according to the area where the condition exists, so that the remotely assisted experts can make a secondary evaluation through the theoretical evaluation results, the target building model and the local defect model, judge the accuracy of the theoretical evaluation results, and the area that needs further review and evaluation, and then conduct a secondary precise detection on the area that needs to be reviewed to determine the local building information and its corresponding local model, and then determine the final evaluation model used for evaluation according to the local model and the target building model, so that the experts can remotely evaluate the target building to be inspected through the evaluation model and output the evaluation results. Because, firstly, the target building to be inspected is comprehensively and initially inspected quickly through acquisition equipment, and a model is established based on the inspection results to output preliminary theoretical evaluation results, and then experts determine the areas that need precise inspection based on the preliminary theoretical evaluation results and models, so as to conduct a secondary review of the target building to be inspected, which not only ensures the efficiency of building inspection, but also ensures the accuracy of the inspection results. In addition, the local model constructed based on the information of the composite area and the target building model obtained by the previous comprehensive inspection are integrated to obtain an evaluation model that can comprehensively and accurately evaluate the target building to be inspected, and the final evaluation results are determined by the experts based on the evaluation model. Then, the target model to be inspected is preliminarily evaluated with the help of intelligent algorithms, which is used for expert auxiliary analysis to improve the efficiency of inspection and evaluation, and the evaluation model is analyzed with the remote assistance of experts to ensure the accuracy of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a flow chart of a building detection and evaluation method in a first embodiment of the present invention;

[0040] Figure 2 is a structural block diagram of a building detection and evaluation system in a second embodiment of the present invention;

[0041] Figure 3 is a schematic structural diagram of an electronic device in a third embodiment of the present invention;

[0042] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0043] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0044] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0046] Embodiment 1

[0047] See also Figure 1 , shown is a building detection and evaluation method in a first embodiment of the present invention, and the method specifically includes steps S01 to S04.

[0048] S01, controlling a collection device to obtain appearance information and internal structure information of a target building to be detected by a preset method, and determining a first building model and a second building model according to the appearance information and the internal structure information respectively;

[0049] Specifically, the acquisition device at least includes an image capture device and a detection device. By receiving image information from the image capture device, the appearance information of the target building to be detected is determined, and the appearance information at least includes outline size information and building outer surface information; according to the outline size information and the drawings of the target building to be detected, an initial model is determined by an adaptive modeling program in a preset database, and trajectory information is determined according to the initial model and the model of the detection device; according to the trajectory information, the detection device is controlled to move along a specific trajectory to obtain the internal structure information of the target building to be detected, and then the external surface features are determined according to the building external surface information, and the initial model is adjusted according to the external surface features to determine the first building model; the internal structure features are determined according to the internal structure information, and the initial model is adjusted according to the internal structure features to determine the second building model.

[0050] In specific implementation, the appearance information of the target building to be detected can be obtained by using an image acquisition device mounted on a drone, and the detection data can be obtained by using a wall-climbing robot equipped with corresponding detection equipment to crawl on the surface of the target building to be detected. Specifically, the required appearance data and building size information are first obtained by using a drone, and then a corresponding initial model is established based on the size information and building drawings. The travel path of the wall-climbing robot is then planned based on the initial digital model and the model of the wall-climbing robot to ensure that the wall-climbing robot moves stably on the building surface and fully detects the structural information of the target building to be detected. After the internal structure information and appearance information are obtained, they are converted into feature data of the same model data type, and then the corresponding feature data are added to the initial model respectively, thereby obtaining the first building model and the second building model.

[0051] S02, determining a target building model by a preset method according to the first building model and the second building model, and determining a theoretical evaluation result and a defect area according to the target building model by a preset evaluation algorithm;

[0052] Specifically, a plurality of base points possessed by both the first building model and the second building model are determined; the first building model and the second building model are overlapped and set according to the base points to determine a difference intersection area, features at the difference intersection area of ​​the first building model and the second building model are removed, and the two models are fitted to determine an initial building model; stress simulation is performed on the initial building model mainly based on the features of the difference intersection area of ​​the first building model and supplemented by the features of the difference intersection area of ​​the second building model to determine a target building model.

[0053] In the specific implementation, the first building model and the second building model are determined respectively according to the appearance information and the internal structure information, rather than directly determining one building model, so as to avoid the two kinds of information interfering with each other and affecting the accuracy of model establishment, and then the difference area is determined by comparing the difference between the two models, and then the two models except the difference area are integrated, and the integrated model is simulated according to the two characteristics of the difference area, so as to achieve reasonable supplementation of the difference area model, and then obtain the target building model that fits the actual condition of the target model to be detected, and then evaluate the target detection building model through a preset evaluation algorithm. In addition, when performing simulation operations, the appearance features are mainly used because the accuracy of the appearance detection data is higher than the accuracy of the internal structure data under the condition of preliminary comprehensive detection. Therefore, this type of data is mainly used to effectively provide the accuracy of the difference area model fitting.

[0054] S03, determining a local defect model according to the defect area, the first building model and the second building model, so that an expert remotely determines a local review area according to the local defect model, the target building model and the theoretical evaluation result through a mixed reality platform;

[0055] Specifically, the local defect area is adjusted according to the local defect area and the appearance information to determine a first defect area block; according to the multiple base points of both the first defect area block and the first building model, the first defect area block and the first building model are overlapped, and then the building model in the first defect area block is intercepted to determine the local defect model corresponding to the first building model; according to the local defect area and the internal structure information, the local defect area is adjusted to determine a second defect area block; according to the multiple base points of both the second defect area block and the second building model, the second defect area block and the second building model are overlapped, and then the building model in the second defect area block is intercepted to determine the local defect model corresponding to the second building model. Based on the evaluation results of the preset evaluation algorithm, the auxiliary expert evaluates the target building to be inspected according to the building model and the local defect model, and determines the area that needs to be reviewed, that is, through the intelligent algorithm and comprehensive and preliminary information collection for the auxiliary expert, the comprehensiveness and efficiency of the detection are guaranteed, and then the review area is re-detected according to the expert's opinion, so as to improve the accuracy of the detection through targeted local detection and avoid the need for comprehensive and detailed detection of the building. In addition, the defect area block size needs to be appropriately scaled and adjusted according to the appearance information and internal structure information of the corresponding local defect area to reduce the amount of data processing or prevent the omission of key areas.

[0056] S04, controlling the acquisition equipment to detect the local review area to obtain local building information, and determining a local model based on the local building information, and then determining an evaluation model based on the local model and the target building model, so that the expert can remotely determine an evaluation report based on the evaluation model through a mixed reality platform.

[0057] Specifically, by using the detection data of a specific area from a secondary detection and the data from the first comprehensive detection, an assessment model that accurately reflects the condition of the target building to be inspected is obtained, so that experts can conduct precise assessments based on accurate detection data to ensure the accuracy and efficiency of the assessment.

[0058] In addition, the assessment report and the assessment result can be compared to determine the difference area, and the local difference model can be determined according to the difference area and the local defect model; the local difference model and the target building model can be compared to determine the difference characteristics, and the preset method and the preset assessment algorithm can be corrected according to the difference characteristics. In addition, the information transmission of the mixed reality platform is encrypted to generate corresponding encrypted information, and the encrypted information is sent to both ends of the interaction through the mixed reality platform. By correcting the assessment algorithm and the preset model fitting method, the accuracy of the preliminary assessment can be improved, thereby improving the auxiliary role of the preliminary assessment results for experts, and the correction of the two can effectively reduce the number and size of local composite areas, thereby improving the overall inspection and assessment efficiency of the building. By way of example and not limitation, in some optional embodiments, the correction of the preset model fitting method can be achieved by adjusting the influencing factor of the characteristics of the difference intersection area corresponding to the first building model and the second building model during the simulation operation.

[0059] In summary, the building inspection and evaluation method in the above-mentioned embodiment of the present invention, after acquiring the appearance information and internal structure information of the target building to be inspected through the acquisition equipment, establishes corresponding models according to the two information respectively, and then obtains the target building model by integrating and fitting the two models, so that the target building model can be evaluated and simulated according to the corresponding evaluation materials through the preset evaluation algorithm to determine the condition of the target building to be inspected and the area where the condition exists, and then determine the corresponding local defect model according to the area where the condition exists, so that the remote assisting expert can use the theoretical evaluation results, the target building model and the local defect model for a secondary evaluation to judge the accuracy of the theoretical evaluation results and the area that needs further review and evaluation, and then perform a secondary precise detection on the area that needs to be reviewed to determine the local building information and its corresponding local model, and then determine the final evaluation model used for evaluation according to the local model and the target building model, so that the expert can remotely evaluate the target building to be inspected through the evaluation model and output the evaluation results. Because, firstly, the target building to be inspected is comprehensively and initially inspected quickly through acquisition equipment, and a model is established based on the inspection results to output preliminary theoretical evaluation results, and then experts determine the areas that need precise inspection based on the preliminary theoretical evaluation results and models, so as to conduct a secondary review of the target building to be inspected, which not only ensures the efficiency of building inspection, but also ensures the accuracy of the inspection results. In addition, the local model constructed based on the information of the composite area and the target building model obtained by the previous comprehensive inspection are integrated to obtain an evaluation model that can comprehensively and accurately evaluate the target building to be inspected, and the final evaluation results are determined by the experts based on the evaluation model. Then, the target model to be inspected is preliminarily evaluated with the help of intelligent algorithms, which is used for expert auxiliary analysis to improve the efficiency of inspection and evaluation, and the evaluation model is analyzed with the remote assistance of experts to ensure the accuracy of the evaluation.

[0060] Embodiment 2

[0061] See also Figure 2 , which is a structural block diagram of the building detection and evaluation proposed in the second embodiment of the present invention, the building detection and evaluation system 200 includes: a model determination module 21, a theoretical evaluation result determination module 22, a review area determination module 23 and an evaluation report determination module 24, wherein:

[0062] The model determination module 21 is used to control the acquisition device to obtain the appearance information and internal structure information of the target building to be detected through a preset method, and determine the first building model and the second building model according to the appearance information and the internal structure information respectively;

[0063] Theoretical evaluation result determination module 22, used to determine the target building model by a preset method according to the first building model and the second building model, and determine the theoretical evaluation result and defect area according to the target building model by a preset evaluation algorithm;

[0064] A review area determination module 23 is used to determine a local defect model according to the defect area, the first building model and the second building model, so that an expert can remotely determine a local review area according to the local defect model, the target building model and the theoretical evaluation result through a mixed reality platform;

[0065] The assessment report determination module 24 is used to control the acquisition equipment to detect the local review area to obtain local building information, and determine the local model based on the local building information, and then determine the assessment model based on the local model and the target building model, so that the expert can remotely determine the assessment report based on the assessment model through the mixed reality platform.

[0066] Furthermore, in other embodiments of the present invention, the acquisition device includes at least an image capturing device and a detection device, and the model determination module 21 further includes:

[0067] A receiving unit, configured to receive image information from the image capturing device and determine appearance information of the target building to be detected, wherein the appearance information includes at least outline size information and building outer surface information;

[0068] An initial model determination unit, used to determine an initial model according to the outline size information and the drawing of the target building to be detected through an adapted modeling program in a preset database, and determine trajectory information according to the initial model and the model of the detection device;

[0069] An internal structure information acquisition unit, used for controlling the detection device to move along a specific trajectory according to the trajectory information, so as to acquire the internal structure information of the target building to be detected;

[0070] A first building model determination unit, configured to determine external surface features according to the building external surface information, and to adjust the initial model according to the external surface features to determine the first building model;

[0071] The second building model determining unit is used to determine the internal structure characteristics according to the internal structure information, and to adjust the initial model according to the internal structure characteristics to determine the second building model.

[0072] Furthermore, in other embodiments of the present invention, the theoretical evaluation result determination module 22 further includes:

[0073] A base point determination unit, configured to determine a plurality of base points possessed by both the first building model and the second building model;

[0074] an initial building model determining unit, configured to overlap the first building model and the second building model according to the base point to determine a difference intersection area, remove features at the difference intersection area of ​​the first building model and the second building model, and fit the two models to determine an initial building model;

[0075] The target building model determining unit is used to perform stress simulation on the initial building model to determine the target building model based on the features of the difference intersection area of ​​the first building model as a main factor and the features of the difference intersection area of ​​the second building model as a supplement.

[0076] Furthermore, in other embodiments of the present invention, the review area determination module 23 further includes:

[0077] A first defective area block determining unit, configured to adjust the local defective area according to the local defective area and the appearance information to determine a first defective area block;

[0078] A first local defect model determining unit is used to determine the local defect model corresponding to the first building model by overlapping the first defect area block and the first building model according to a plurality of base points both of the first defect area block and the first building model, and then intercepting the building model in the first defect area block;

[0079] A second defective area block determining unit, configured to adjust the local defective area according to the local defective area and the internal structure information to determine a second defective area block;

[0080] The second local defect model determination unit is used to determine the local defect model corresponding to the second building model by overlapping the second defect area block and the second building model based on a plurality of base points possessed by the second defect area block and the second building model, and then intercepting the building model within the second defect area block.

[0081] Furthermore, in other embodiments of the present invention, the building detection and evaluation system 200 further includes:

[0082] A difference model determination module, used for comparing the evaluation report with the evaluation result to determine a difference area, and determining a local difference model according to the difference area and the local defect model;

[0083] A correction module, used for comparing the local difference model with the target building model to determine difference features, and correcting the preset method and the preset evaluation algorithm according to the difference features;

[0084] The encryption module is used to encrypt the information transmission of the mixed reality platform to generate corresponding encrypted information, and send the encrypted information to the two ends interacting through the mixed reality platform.

[0085] The functions or operation steps implemented when the above modules are executed are substantially the same as those in the above method embodiments, and will not be repeated here.

[0086] Embodiment 3

[0087] Another aspect of the present invention provides an electronic device, see Figure 3 , shown is a schematic diagram of an electronic device in the third embodiment of the present invention, including a memory 20, a processor 10, and a computer program 30 stored in the memory and executable on the processor, wherein the processor 10 implements the above-mentioned building detection and evaluation method when executing the computer program 30.

[0088] In some embodiments, the processor 10 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 20, such as executing access restriction programs.

[0089] Among them, the memory 20 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 20 may be an internal storage unit of an electronic device in some embodiments, such as a hard disk of the electronic device. The memory 20 may also be an external storage device of an electronic device in other embodiments, such as a plug-in hard disk equipped on the electronic device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. Further, the memory 20 may also include both an internal storage unit of the electronic device and an external storage device. The memory 20 may be used not only to store application software and various types of data of the electronic device, but also to temporarily store data that has been output or is to be output.

[0090] It should be pointed out that Figure 3 The structure shown does not constitute a limitation on the electronic device. In other embodiments, the electronic device may include fewer or more components than those shown in the figure, or combine certain components, or arrange the components differently.

[0091] The embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned building detection and evaluation method when executed by a processor.

[0092] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0093] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0094] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0095] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0096] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention patent shall be subject to the attached claims.

Claims

1. A building detection and evaluation method, characterized in that: The method comprises, Controlling the acquisition device to obtain the appearance information and internal structure information of the target building to be detected by a preset method, and determining the first building model and the second building model respectively according to the appearance information and the internal structure information; Determine a target building model by a preset method according to the first building model and the second building model, and determine a theoretical evaluation result and a defect area according to the target building model by a preset evaluation algorithm; Determine a local defect model according to the defect area, the first building model and the second building model, so that an expert can remotely determine a local review area according to the local defect model, the target building model and the theoretical evaluation result through a mixed reality platform; The acquisition equipment is controlled to detect the local review area to obtain local building information, and a local model is determined according to the local building information. Then, an evaluation model is determined according to the local model and the target building model, so that an expert can remotely determine an evaluation report according to the evaluation model through a mixed reality platform.

2. The building detection and evaluation method according to claim 1, characterized in that: The acquisition device at least includes an image capturing device and a detection device, and the step of controlling the acquisition device to obtain the appearance information and internal structure information of the target building to be detected by a preset method includes: Receiving image information from the image capture device, and determining appearance information of the target building to be detected, wherein the appearance information includes at least outline size information and building outer surface information; According to the outline size information and the drawings of the target building to be detected, an initial model is determined by an adapted modeling program in a preset database, and trajectory information is determined according to the initial model and the model of the detection device; The detection device is controlled to move along a specific trajectory according to the trajectory information to obtain the internal structure information of the target building to be detected.

3. The building detection and evaluation method according to claim 2, characterized in that: The step of respectively determining the first building model and the second building model according to the appearance information and the internal structure information comprises: Determining outer surface features according to the outer surface information of the building, and adjusting the initial model according to the outer surface features to determine the first building model; The internal structure features are determined according to the internal structure information, and the initial model is adjusted according to the internal structure features to determine the second building model.

4. The building detection and evaluation method according to claim 1, characterized in that: The step of determining the target building model by a preset method according to the first building model and the second building model comprises: Determine a plurality of base points possessed by both the first building model and the second building model; The first building model and the second building model are overlapped and arranged according to the base point to determine a difference intersection area, features at the difference intersection area of ​​the first building model and the second building model are removed, and the two models are fitted to determine an initial building model; A stress simulation is performed on the initial building model based on the features of the difference intersection area of ​​the first building model as a main factor and the features of the difference intersection area of ​​the second building model as a supplement to determine a target building model.

5. The building detection and evaluation method according to claim 4, characterized in that: The step of determining a local defect model according to the defect area, the first building model and the second building model comprises: Adjusting the local defect area according to the local defect area and the appearance information to determine a first defect area block; According to a plurality of base points both of the first defective region block and the first building model, the first defective region block and the first building model are overlapped, and then the building model in the first defective region block is intercepted to determine the local defect model corresponding to the first building model; Adjusting the local defect area according to the local defect area and the internal structure information to determine a second defect area block; According to the multiple base points possessed by the second defective area block and the second building model, the second defective area block and the second building model are overlapped, and then the building model in the second defective area block is intercepted to determine the local defect model corresponding to the second building model.

6. The building detection and evaluation method according to claim 1, characterized in that: The step of enabling the expert to remotely determine the assessment report according to the assessment model through the mixed reality platform includes: Comparing the evaluation report with the evaluation result to determine a difference area, and determining a local difference model according to the difference area and the local defect model; The local difference model and the target building model are compared to determine difference features, and the preset method and the preset evaluation algorithm are modified according to the difference features.

7. The building detection and evaluation method according to claim 1, characterized in that: The information transmission of the mixed reality platform is encrypted to generate corresponding encrypted information, and the encrypted information is sent to the two ends interacting through the mixed reality platform.

8. A building detection and evaluation system, characterized in that: Used to implement the building detection and evaluation method according to any one of claims 1 to 7, the system comprises: A model determination module, used to control the acquisition device to obtain the appearance information and internal structure information of the target building to be detected through a preset method, and determine the first building model and the second building model respectively according to the appearance information and the internal structure information; a theoretical evaluation result determination module, configured to determine a target building model by a preset method according to the first building model and the second building model, and to determine a theoretical evaluation result and a defect area according to the target building model by a preset evaluation algorithm; a review area determination module, configured to determine a local defect model according to the defect area, the first building model and the second building model, so that an expert can remotely determine a local review area according to the local defect model, the target building model and the theoretical evaluation result through a mixed reality platform; The evaluation report determination module is used to control the acquisition equipment to detect the local review area to obtain local building information, and determine the local model based on the local building information, and then determine the evaluation model based on the local model and the target building model, so that the expert can remotely determine the evaluation report based on the evaluation model through the mixed reality platform.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the building detection and evaluation method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the building detection and evaluation method according to any one of claims 1 to 7 is implemented.

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