Mixed reality based construction equipment and material intelligent transportation analysis system

Abstract

The application discloses a mixed reality-based building equipment and material intelligent transportation analysis system and relates to the transportation technical field in the construction process.The system comprises a data acquisition module, a virtual model construction module, a transportation path planning module, an equipment disassembly degree calculation module, a scheme economic evaluation module and an optimal scheme output module.Relying on the mixed reality equipment and the unmanned aerial vehicle telemetry technology, the system can complete efficient collection of transportation channel and equipment data and high-precision three-dimensional virtual modeling, break through the limitation of manual measurement, dynamically simulate passing, screening path and disassembly, guarantee the safety of the structure and adapt to complex scenes.The cost-benefit balance algorithm is introduced to construct a multi-dimensional evaluation system, comprehensively consider the cost and influence, dynamically trigger additional evaluation and adjust special scenes, so that scientific support is provided for intelligent transportation management.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of construction equipment transportation, in particular to a construction equipment and material intelligent transportation analysis system based on mixed reality. BACKGROUND

[0002] With the large-scale of industrial equipment and the complexity of transportation scenarios, the traditional transportation decision-making method faces multi-dimensional challenges. In the field of energy and infrastructure, the transportation of oversized equipment often involves narrow passages, corner restrictions and high obstacles, and it is necessary to accurately assess the feasibility of the path and optimize the disassembly scheme. At the same time, the project party's requirements for cost control, project compression and environmental impact are becoming increasingly stringent, and an intelligent decision-making tool that integrates spatial analysis, economic evaluation and risk prediction is urgently needed. In the prior art, mixed reality (MR) and unmanned aerial vehicle telemetry technology have been gradually applied to three-dimensional modeling, but they mostly stay at the data collection level and lack systematic solutions for dynamic simulation of transportation paths, quantitative measurement of disassembly levels and comprehensive cost optimization. In this context, the development of a construction equipment and material intelligent transportation analysis system based on mixed reality aims to fill the technical gap and achieve scientific decision-making of transportation schemes.

[0003] The "Large piece transportation path intelligent decision-making method based on fuzzy hierarchical comprehensive evaluation method" with the authorization announcement number CN117350623B discloses a decision-making method which focuses on evaluating economy, timeliness and checking bridge passability through fuzzy evaluation method. However, this method cannot dynamically simulate the passing process of equipment in complex postures; it does not involve quantitative measurement of equipment disassembly level, making it difficult to solve the problems of excessive disassembly or insufficient disassembly; the economic evaluation dimension is narrow, and the implicit costs such as project delay and environmental impact are not fully considered; the marking of changeable and restricted areas in the path is not fine enough, and the risk prediction and temporary disassembly planning ability in complex scenarios is weak. SUMMARY

[0004] For this method, the application realizes a technical breakthrough. With the help of mixed reality modeling and dynamic simulation technology, it can accurately present the passing process of equipment in complex postures, making up for the defect that existing technology cannot dynamically verify the adaptability of equipment; by constructing a device disassembly level measurement model, it quantifies the disassembly times and module size, solving the problem of excessive disassembly or insufficient disassembly not involved in existing technology; in economic evaluation, the application expands the dimension and includes implicit costs such as project delay and environmental impact, overcoming the limitation of single evaluation in existing technology; the fine marking and risk prediction of changeable and restricted areas in the transportation path also strengthen the planning ability in complex scenarios of existing technology, providing more comprehensive and accurate support for large piece transportation decision-making.

[0005] The building equipment and material intelligent transportation analysis system based on mixed reality aims to make up for the defects of the prior art, cooperates MR equipment with a drone to collect data, constructs a high-precision three-dimensional model, dynamically simulates a transportation path, can automatically calculate the minimum disassembly degree of equipment, evaluates the comprehensive cost in combination with a cost-benefit balance algorithm, accurately marks the passable and restricted areas, and screens the optimal transportation scheme that takes into account the passability, economy and environmental impact, and makes up for the defects of traditional decision-making methods.

[0006] The building equipment and material intelligent transportation analysis system based on mixed reality aims to make up for the defects of the prior art, cooperates MR equipment with a drone to collect data, constructs a high-precision three-dimensional model, dynamically simulates a transportation path, can automatically calculate the minimum disassembly degree of equipment, evaluates the comprehensive cost in combination with a cost-benefit balance algorithm, accurately marks the passable and restricted areas, and screens the optimal transportation scheme that takes into account the passability, economy and environmental impact, and makes up for the defects of traditional decision-making methods.

[0007] The data acquisition module collects the spatial data of the transportation channel and the surrounding environment through mixed reality equipment and drone telemetry technology, and simultaneously collects the parameters of the equipment to be transported, including the equipment type, the core component module attribute, the structural limitation information and the disassembly guide file provided by the manufacturer;

[0008] The virtual model construction module receives the spatial data output by the data acquisition module, constructs a three-dimensional virtual model of the transportation channel, marks the non-stress structure area that can be temporarily removed and the stress structure limitation area that cannot be changed in the model, checks the model size error, and generates the three-dimensional virtual model;

[0009] The transportation path planning module analyzes the feasibility of the equipment disassembly transportation path and the overall transportation path after the structure is disassembled and modified based on the three-dimensional virtual model output by the virtual model construction module, determines the non-disassembled part of the equipment core, evaluates the adaptability in combination with the equipment demand by using the path adaptability index when analyzing the feasibility of the equipment disassembly transportation path, and screens the feasible transportation path;

[0010] The equipment disassembly degree calculation module calculates the minimum disassembly times and the module size after disassembly for the disassembled equipment according to the path minimum passable size and the equipment parameters output by the transportation path planning module;

[0011] The scheme economy evaluation module receives the path analysis result of the transportation path planning module and the disassembly parameters of the equipment disassembly degree calculation module, calculates the comprehensive cost of the equipment disassembly scheme and the structure disassembly and modification scheme, evaluates the transportation cycle and the influence on the surrounding office environment when the cost difference between the two schemes is less than or equal to a preset threshold, and outputs the economy evaluation result;

[0012] The optimal scheme output module screens the optimal transportation scheme by comprehensively screening the adaptability analysis result of the transportation path planning module and the evaluation result of the scheme economy evaluation module, and outputs the transportation report.

[0013] Further, in the data acquisition module, in an indoor scene, the mixed reality device captures the corridor by identifying the two-dimensional code reference point posted in the corridor, combining the horizontal rotation angle capture, and at the same time, the 1 m reference ruler placed in the corridor is used as a reference to obtain the corridor size reference data and details. Specifically, the automatic calculation of the size of the to-be-measured region can be realized by the principle of similar triangles: taking the camera of the mixed reality device as the ray endpoint (O point), two rays OA and OB are projected to the two ends (A point and B point) of the 1 m reference ruler respectively, forming OAB; and then extending along the rays OA and OB to the two ends of the corridor to-be-measured region point, point), forming a similar OAB ; the vertical distance from the camera to the reference ruler is , and the vertical distance to the to-be-measured region is , according to the proportional properties of the corresponding sides of similar triangles, the calculation formula of the width of the to-be-measured region is derived as follows: wherein , the horizontal rotation angle and the spatial coordinates of the two-dimensional code reference point captured by the mixed reality device are used to automatically calculate the width of the to-be-measured region, so that the accurate width of the corridor, corner and other to-be-measured regions can be quickly obtained; in an outdoor scene, the unmanned aerial vehicle performs oblique photography on the high-altitude open region, and combines the reference to obtain the three-dimensional space data and obstacle information of the region.

[0014] Further, in the virtual model construction module, the model size error checking is performed by comparing the size of each segment in the virtual model with the size corrected by the data acquisition module, calculating the absolute value of the difference between the two, and when the absolute value exceeds ±5 cm, it is determined that the error is out of tolerance. At this time, the reference is repositioned in the region where the error is out of tolerance, and the data is collected again by the mixed reality device or the unmanned aerial vehicle, and the corrected size is recalculated by using the corridor size accurate correction algorithm. The calculation formula of the corridor size accurate correction algorithm is as follows: wherein is the corrected actual size of the corridor, is the original size data collected by the MR device or the unmanned aerial vehicle, is a two-dimensional code reference point space coordinate correction coefficient, which is calculated based on the deviation between the preset coordinates of the two-dimensional code reference point and the actual space coordinates, and the value range is 0.98-1.02, is a channel form correction coefficient, which is obtained by linear regression model fitting according to the physical form of the channel and the size deviation law of the same form channel in the historical data, and the value range is 0.95-1.05.

[0015] Further, in the virtual model construction module, the channel information contained in the three-dimensional virtual model includes the length, width, height and direction of each channel segment; the key node information includes the corner angle, the size of the door frame inner space, the height and number of steps, the size of the elevator car and the door width; and the obstacle information includes the diameter, direction and ground clearance of the pipeline, the position and volume of the small equipment, and the thickness and material of the wall.

[0016] Further, in the transportation path planning module, the determination basis of the non-disassemblable part of the core of the moving device is: the structure limitation description provided by the device manufacturer, the functional correlation parameters of the core components, and the historical disassembly damage records; the feasibility verification of temporary disassembly of the structure needs to meet: the disassembly area is a non-load-bearing structure, and the influence coefficient of the overall stress after disassembly is verified by the structure safety algorithm ≤5%; the structure safety algorithm formula is: wherein, is the stress influence coefficient, is the load value of the i-th stress point of the structure after the wall is removed, is the original load value before disassembly, n is the total number of stress points; the disassembly range is limited in the changeable area, and the functional integrity index after recovery is ≥95%; the functional integrity index formula is: wherein, is the functional integrity index, is the effective area / parameter value of the j-th function after recovery, is the corresponding value of the original function before recovery, m is the total number of functions.

[0017] Further, in the transportation path planning module, the calculation formula of the path adaptation index is: wherein is the path adaptation index, is the weight coefficient, corresponding to the size matching degree, the disassembly cost proportion, and the transportation efficiency, calculated by the dispersion degree of the three indexes in the historical transportation scheme data, and the sum is 1, is the path key node size, is the temporary disassembly cost, is the total budget of the scheme, is the transportation time proportion, is the maximum allowable size of the device parts.

[0018] Further, in the transportation path planning module, the maximum allowable size of the device parts is determined by the device parts transportation size threshold determination algorithm, and the calculation formula is: wherein is the maximum allowable size of the device parts, is the operation space reservation coefficient, determined according to the type of transportation device and the operation difficulty, combined with the minimum operation space required by safety specifications, the value range is: 0.8-0.9, These are the original dimensions of the equipment. It is the dismantling feasibility coefficient, which is output by a machine learning model based on the complexity of the equipment structure and the dismantling process requirements. The value range is 0.5-0.9.

[0019] Furthermore, the equipment disassembly degree calculation module calculates the minimum disassembly degree of the equipment and pipelines by comparing the original dimensions of each component of the equipment and pipelines with the maximum allowable dimensions of the equipment components determined by the equipment component transportation size threshold judgment algorithm. Compare; when the original dimensions of the parts are... The component is determined to be non-disassembly required, with a disassembly level of 0, based on its original dimensions. The minimum number of disassembly steps is determined by an algorithm that determines the number of disassembly steps. The formula for this algorithm is as follows: ,in To minimize the number of disassembly steps, These are the original dimensions of the component. The function is for rounding up. After disassembly, the dimensions of each component are calculated using a component size conversion algorithm. The calculation formula for the component size conversion algorithm is as follows: ,in These are the dimensions of a single component after disassembly. The decomposition margin coefficient has a value range of 0.95-0.98.

[0020] Furthermore, in the aforementioned scheme economic evaluation module, when the comprehensive cost difference between equipment dismantling and structural modification is considered... At that time, an additional evaluation dimension is triggered: Handling cycle: calculate the total time for disassembly, transportation and assembly of the equipment disassembly plan. Total time for demolition, transportation, and restoration of the structural alteration plan The formulas for calculating the duration are as follows: ; ,in, Disassembly takes a long time. The time required for transportation after disassembly Assembly takes time; The time required for structural demolition For the overall transportation time, The time required for structural restoration; Office impact index: Based on the distribution of office areas around the route, calculate the impact coefficient of noise, dust, and passageway obstruction during transportation on office efficiency. The value ranges from 0 to 1, and the calculation formula is: ,in, , , For the influence factor weights, and Adjust according to the actual scenario. This represents the actual noise level in decibels. The noise standard value for office areas This represents the actual dust concentration. The standard concentration of dust in the office area. For channel occupancy time, To assess the total duration of the evaluation period.

[0021] Furthermore, in the scheme economic evaluation module, the optimal scheme output module uses the following selection logic for the optimal scheme: Basic selection: setting a preset threshold for the path adaptability index. , Based on historical data analysis, schemes with a fit index higher than the threshold were retained; this was combined with the net benefit of each scheme calculated by the economic evaluation module. Select the option with the highest net profit; the equipment dismantling option has the highest net profit. The calculation formula is: Net income from structural alteration plan The calculation formula is: ,in, Save revenue by implementing a device dismantling solution. To reduce assembly and disassembly costs, To cover the transportation costs after disassembly, To mitigate risk costs; To save revenue from structural alteration plans, To cover the costs of demolition, alteration, and restoration, For overall transportation costs, Consider the risks and costs associated with structural alterations; when alternatives with the same net benefit exist, compare... and Choose the option with the shortest construction period; when construction periods are the same, compare... Choose the option with the least impact on the surrounding environment; if the equipment still cannot be transported even after being disassembled to its smallest modular unit, a deep evaluation of the structural modification plan should be forcibly triggered. In this case, the net benefit calculation of the structural modification plan needs to include the ineffective cost of extreme equipment disassembly. The formula is adjusted as follows: , The net benefit of the structural dismantling and modification scheme under special circumstances is compared with the net benefit of the equipment dismantling scheme to select the final optimal scheme.

[0022] Compared with existing technologies, this intelligent transportation analysis system for building equipment and materials based on mixed reality has the following advantages:

[0023] I, the application first uses mixed reality equipment and unmanned aerial vehicle as sensors, and puts the coordinate systems, time stamps and error models of the two sensors in the same pipeline to correct each other, and finally splices a seamless three-dimensional data graph. Further, the three-dimensional graph is endowed with a computable attribute, so that indoor and outdoor, ground and air, geometry and semantics are compressed into the same true three-dimensional graph, providing a unique, closed and traceable data base for subsequent path dynamic simulation, disassembly threshold calculation and net benefit evaluation.

[0024] II, the application realizes efficient collection and high-precision three-dimensional virtual modeling of transportation channel and equipment data through the cooperative application of mixed reality equipment and unmanned aerial vehicle telemetry technology, breaks through the error limitation of traditional manual measurement, and the system can dynamically simulate the passing process of the equipment in the virtual path, automatically filter the adaptive path and calculate the minimum disassembly degree of the equipment, which avoids the cost waste and time delay caused by excessive disassembly, and at the same time, through precise marking of the disassembly and modification area and the stress limiting area, the structure safety is guaranteed. At the same time, its design compatible with indoor and outdoor scenes can meet the transportation demand in complex environment, greatly improve the scientific nature of decision-making and transportation efficiency, and reduce the subjectivity of human judgment, providing an intelligent solution for equipment transportation.

[0025] III, the application introduces a cost-benefit balance algorithm to build a multi-dimensional evaluation system, comprehensively considers direct cost, disassembly cost, construction period risk and environmental impact, and outputs the scheme with the highest net benefit through quantitative analysis. When the benefits are the same, the path with the shortest construction period or the smallest environmental impact is preferred, so as to balance economic benefit and social responsibility. Its dynamic trigger additional evaluation mechanism makes the decision more in line with actual needs. In addition, the net benefit adjustment algorithm in special scenarios ensures that the optimal solution can still be output in extreme cases, providing scientific support for sustainable intelligent transportation management and helping enterprises reduce operating costs and environmental interference.

[0026] Other advantages, objects, and features of the application will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following specification or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments of the application, and those skilled in the art can also obtain other drawings according to these drawings without creating any inventive labor.

[0028] Figure 1 Workflow diagram for building equipment and material intelligent transportation analysis system based on mixed reality;

[0029] Figure 2 This is an interactive diagram of a mixed reality-based intelligent transportation analysis system for building equipment and materials.

[0030] Figure 3 A diagram showing the relationships between core elements of a mixed reality-based intelligent transportation analysis system for building equipment and materials.

[0031] Figure 4 A 1m scale schematic diagram of a mixed reality-based intelligent transportation analysis system for building equipment and materials (in dynamic flight mode).

[0032] Figure 5 This is a 1m scale schematic diagram of a mixed reality-based intelligent transportation analysis system for building equipment and materials (in static hovering mode). Detailed Implementation

[0033] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0034] Example 1: Relocation of a large refrigeration unit in the basement of a commercial complex (indoor replacement, involving an economic comparison of the dismantling and modification of the building structure and equipment, and preliminary scanning using mixed reality equipment).

[0035] In the basement of a commercial complex, staff used mixed reality equipment to collect data. By identifying pre-posted QR code reference points in the passageways and combining this with horizontal rotation angle capture, they conducted a comprehensive survey of the transportation passageways (including basement corridors, equipment room passageways, and freight elevator shafts). Simultaneously, 1m reference rulers were placed at key locations such as corners and door frames to obtain reference data and details of the passageway dimensions. Specifically, the dimensions of the area to be measured were automatically calculated using the principle of similar triangles: with the camera of the mixed reality equipment as the ray endpoint (point O), rays were directed towards both ends of the 1m reference ruler (points A and B, where the length of AB is known). Two rays, OA and OB, are projected respectively, forming Then extend along rays OA and OB to both ends of the area to be measured in the corridor (points A' and B'), forming a line with... Similar Let the vertical distance from the camera to the reference ruler be... The vertical distance to the area to be measured is Based on the property that corresponding sides of similar triangles are proportional, the width of the region to be measured can be derived. The calculation formula is: ,in , The horizontal rotation angle and the spatial coordinates of the QR code reference point captured by the mixed reality device are automatically measured and calculated, and the accurate width of the corridor, corner and other areas to be measured is quickly obtained. In addition, the parameters of the large refrigeration unit to be transported are synchronously collected, including the type of the device, the attribute of the core component module, the structural restriction information and the disassembly guidance file provided by the manufacturer. These parameters are the important basis for subsequent judgment of whether the device can be disassembled and how to disassemble.

[0036] After receiving the spatial data output by the data acquisition module, the virtual model construction module starts to construct the three-dimensional virtual model of the transportation channel. The model contains detailed information such as the length, width, height and direction of the channel, the corner angle of the key node, the inner space size of the door frame, the step parameter, the size of the freight elevator, the pipeline parameter of the obstacle, the position and volume of the small device, the thickness and material of the wall, and the stress attribute, etc. The overall layout and detailed features of the transportation channel can be intuitively presented. At the same time, the non-stress structure area that can be temporarily removed and the stress structure restriction area that cannot be changed in the model are marked, providing clear identification for whether to disassemble and modify the structure in the subsequent path planning. Then, the model size error is checked by comparing the size of each segment in the virtual model with the corrected size of the data acquisition module, and the absolute value of the difference is calculated. When the absolute value exceeds ±5cm, it is determined that the error is out of tolerance. At this time, the reference object is placed again in the area where the error is out of tolerance, and the data is collected again through the mixed reality device. The corrected size is recalculated using the channel size precision correction algorithm. The calculation formula of the channel size precision correction algorithm is: wherein is the corrected actual size of the channel, is the original size data collected by the MR device or the unmanned aerial vehicle, is the correction coefficient of the spatial coordinates of the QR code reference point, which is calculated based on the deviation between the preset coordinates of the QR code reference point and the actual spatial coordinates, and the value range is 0.98-1.02, is the channel form correction coefficient, which is obtained by linear regression model fitting according to the physical form of the channel and the size deviation rule of the same type of channel in historical data, and the value range is 0.95-1.05, which ensures the accuracy of the model size and provides accurate virtual environment support for subsequent path planning and device transportation simulation.

[0037] The transportation path planning module analyzes the feasibility of the disassembly and transportation path of the refrigeration unit and the overall transportation path after the structure is disassembled based on the constructed three-dimensional virtual model. In the analysis process, the structural safety algorithm and the functional integrity index are used. The calculation formula of the structural safety algorithm is: wherein, is the stress influence coefficient, is the load value of the i th stress point of the structure after the wall is removed, is the original load value before demolition, n is the total number of stress points; the scope of demolition and reconstruction is limited to the changeable area, and the functional integrity index after recovery is ≥95%, the calculation formula of the functional integrity index is: wherein, is the functional integrity index, is the effective area / parameter value of the jth function after recovery, is the original function value before recovery, m is the total number of functions, and the safety of the structure demolition and reconstruction scheme and the functional integrity after recovery are judged; for the disassembly transportation path, the path adaptation index is used to evaluate the adaptability in combination with the equipment demand, and the feasible transportation path is screened out, and the calculation formula of the path adaptation index is: wherein is the path adaptation index, is the weight coefficient, corresponding to the size matching degree, the demolition and reconstruction cost proportion, and the transportation efficiency, calculated by the discrete degree of the three indexes in the historical transportation scheme data, and the sum is 1, is the size of the path key node, is the temporary demolition and reconstruction cost, is the total budget of the scheme, is the transportation time proportion, is the maximum allowable size of the equipment parts, and the calculation formula is: , is the operation space reservation coefficient, which is determined according to the type of transportation equipment and the operation difficulty, and the minimum operation space required by safety specifications, the value range is: 0.8-0.9, is the original size of the equipment, is the disassembly feasibility coefficient, which is output by a machine learning model based on the complexity of the equipment structure and the disassembly process requirements, the value range is: 0.5-0.9, through these analyses, it is clear whether the two paths are suitable for transporting the freezer unit, which provides a path level basis for subsequent scheme selection, as shown in Figure 1 .

[0038] According to the minimum path size output by the transportation path planning module and the parameters of the freezer unit, the equipment disassembly degree estimation module works on the disassemblable equipment, determines the maximum allowable size of the equipment parts by combining the equipment parts transportation size threshold determination algorithm, compares the original size of each component of the unit with the maximum allowable size, and for the components exceeding the allowable size, the minimum disassembly times are calculated by the disassembly times determination algorithm, and the calculation formula of the disassembly times determination algorithm is: wherein is the minimum disassembly times, is the original size of the component, For the ceiling function, after disassembly, the size of each component is calculated by the spare part size conversion algorithm, and the size of each module after disassembly is calculated by the spare part size conversion algorithm. The calculation formula of the spare part size conversion algorithm is: Wherein is the size of a single component after disassembly, is the disassembly allowance coefficient, the value range is 0.95-0.98, which determines the optimal disassembly degree to ensure that the disassembled module can smoothly pass through the planned transportation path, while minimizing the disassembly times to reduce the cost and disassembly risk.

[0039] The scheme economy evaluation module receives the path analysis result of the transportation path planning module and the disassembly parameter of the equipment disassembly degree estimation module, calculates the comprehensive cost of the equipment disassembly scheme and the structure disassembly scheme, and when the equipment disassembly and structure disassembly comprehensive cost difference , triggers additional evaluation dimensions, further evaluates the carrying cycle and the influence on the surrounding office environment, and the carrying cycle is determined by calculating the total time of the two schemes respectively, and the calculation formula is: Wherein, is the disassembly time, is the transportation time after disassembly, is the assembly time; is the structure disassembly time, is the overall transportation time, is the structure recovery time, and the office influence is evaluated by the office influence index to evaluate the influence of noise, dust and passage occupation on the surrounding office area during transportation, and the calculation formula is: Wherein, , , is the influence factor weight, and , according to the actual scene adjustment, is the actual noise decibel value, is the office noise standard value, is the actual dust concentration, is the office dust standard concentration, is the passage occupation time, is the total time of the evaluation period, so as to comprehensively measure the economy of the two schemes and provide economic reference for the selection of the optimal scheme.

[0040] The optimal scheme output module integrates the adaptability analysis result (evaluated by the path adaptability index) of the transportation path planning module and the evaluation result of the scheme economy evaluation module to select the optimal scheme. In the selection process, the preset threshold of the path adaptability index is set, and the schemes with adaptability index higher than the threshold are retained; combined with the net income of each scheme calculated by the economy evaluation module​ , select the highest net income scheme; net income of equipment disassembly scheme The calculation formula is: ; net income of structure disassembly scheme The calculation formula is: , wherein, is the saving income of the equipment disassembly scheme, is the disassembly and assembly cost, is the transportation cost after disassembly, is the disassembly risk cost; is the saving income of the structure disassembly scheme, is the disassembly and recovery cost, is the overall transportation cost, is the structure disassembly risk cost; when there are schemes with the same net income, compare and select the scheme with the shortest construction period; when the construction period is the same, compare select the scheme with the smallest impact on the surrounding environment; when the equipment disassembly to the smallest module unit still cannot be transported, the structure disassembly scheme is forcibly triggered for deep evaluation, and the net income calculation of the structure disassembly scheme needs to add the invalid cost of extreme equipment disassembly , the formula is adjusted to: , is the net income of the structure disassembly scheme in special cases, which is compared with the net income of the equipment disassembly scheme again, and the final optimal scheme is selected, and the transportation report containing the specific disassembly area (if any), cost, and construction period is output, providing a clear and feasible guidance scheme for the actual refrigeration unit moving work.

[0041] In summary, example one obtains the transportation channel and refrigeration unit parameters in the office building through the data acquisition module, generates a precise three-dimensional model through the virtual model construction module, analyzes the adaptability through the transportation path planning module, determines a reasonable disassembly scheme through the equipment disassembly degree calculation module, comprehensively considers the cost, cycle and office impact through the scheme economic evaluation module, selects the equipment disassembly transportation scheme through the final optimal scheme output module, and the whole process relies on the cooperation of various modules and related algorithms, ensures that the scheme is optimal in path adaptation, cost control and environmental impact, and provides scientific guidance for indoor large equipment disassembly and transportation.

[0042] Example two: replacement of high-altitude open area cooling tower (open air hoisting transportation scene, involving equipment replacement on the top of high-rise building, building disassembly, and early scanning by unmanned aerial vehicle).

[0043] The open area of a super high-rise equipment layer needs to replace a cooling tower. The surrounding area has been filled with various pipelines and small equipment due to the long-term operation of various functions, and no special large equipment transportation channel is reserved. At the same time, through the analysis, due to the large volume of the cooling tower and the high requirement of the building for fine office, the implementation of the building channel moving has a great impact on the indoor and slow efficiency, therefore, the new cooling tower parts need to be transported to the installation position by hoisting method, the specific implementation steps are as follows:

[0044] 1) Data acquisition module runs: due to the limitation of measuring instruments or obstacles before removal, the measured size width cannot be directly measured with a ruler, therefore, the unmanned aerial vehicle is used to take oblique photographs in dynamic flight and static hovering modes, and a 1m reference ruler is placed horizontally at key positions such as the ground and steel platform as a reference, and the similar triangle principle is used to assist the accurate calculation of the size of the measured area:

[0045] 1.1) as shown in Figure 4 , in the dynamic flight state: the lens of the camera equipment carried by the unmanned aerial vehicle is the end point of the ray (O point), and the rays OA and OB are projected to the ends of the 1m reference ruler (A point and B point, the length of AB is known ), to form , and then extend along the rays OA and OB to the ends of the measured area (A' point and B' point) such as the span of the steel platform and the spacing of the pipeline, to form the similar . The vertical distance from the lens to the reference ruler is (calculated by the difference between the altitude of the unmanned aerial vehicle and the height of the reference ruler), and the vertical distance to the measured area is (combine with the positioning data of the unmanned aerial vehicle), according to the proportional nature of the corresponding sides of the similar triangle, the size of the measured area The calculation formula is: , and the three-dimensional space data (such as the span of the steel platform and the height of the pipeline from the ground) and obstacle information in the area are accurately obtained.

[0046] 1.2) similarly, as shown in Figure 5 , in the static hovering state: the unmanned aerial vehicle hovers above the reference point (or in the same vertical plane as the reference ruler), and the optical axis of the camera equipment is vertically downward. With the optical center O of the lens as the end point, the rays OA and OB are projected to the ends A and B of the 1m reference ruler (the length of AB is known L0=1m) to form △OAB; and along the rays OA and OB, the ends A' and B' of the measured area are extended to form the similar △OA'B' to △OAB.

[0047] Let:

[0048] d0 = OD (the vertical distance from the lens to the reference ruler)

[0049] d1 = OD' (vertical distance from the lens to the corridor to be measured)

[0050] By the proportion of the corresponding sides of similar triangles, the width L1 of the corridor to be measured is directly calculated as follows:

[0051] L1 = L0 · (d1 / d0)

[0052] The calculation is completed. The true scale is used for subsequent point cloud adjustment to correct the overall scale deviation caused by GNSS / IMU drift during dynamic flight, ensuring that the final three-dimensional model size error is ≤±5 cm.

[0053] 1.3) After completing the spatial data collection, further collect the overall parameters of the cooling tower to be replaced and the original sizes, weights, and manufacturer-provided disassembly guide files of each core component (such as the tower shell, heat dissipation module, and fan set), providing basic data for virtual modeling and disassembly calculation, as shown in Figure 2 .

[0054] 2) Virtual model construction module operation: integrate the real scene data shot by the unmanned aerial vehicle with the reference size information to construct a three-dimensional virtual model of the open area and the surrounding environment in the BIM platform, clearly present the spatial size (passage width, height, depth) involved in the hoisting path and the specific position of obstacles (pipeline height from the ground, steel platform span), classify and mark the model area: mark the temporarily removable pipelines, non-load-bearing parts of the steel platform as "changeable area", mark the main structure of the building and load-bearing steel components as "restricted area", compare the virtual model size and the corrected size through model size error checking to ensure that the error is within ±5 cm, if it exceeds the standard, place a reference object in the corresponding area and collect data again, and then use the passage size precision correction algorithm to correct the model. The calculation formula of the passage size precision correction algorithm is: , to ensure that the model truly restores the on-site environment.

[0055] 3) Transportation path planning module operation: simulate multiple hoisting paths in the virtual model, such as "tower crane hoisting from the east side + transferring to the installation point through platform C" and "truck crane hoisting from the south side + directly hoisting to the installation point", simulate the process of passing through each obstacle at different hoisting angles and heights by creating a three-dimensional virtual body corresponding to the maximum allowed size of the cooling tower parts, record the minimum space parameters required to pass through each node, determine the minimum passing size of each path, evaluate the adaptability of each path using the path adaptation index, comprehensively consider the matching degree of part size and path space, the cost proportion of temporary dismantling and improving obstacles, and hoisting transportation efficiency factors, and select the technically feasible hoisting path. The calculation formula of the path adaptation index is: Taking into account factors such as the matching degree between the size of the components and the path space, the cost ratio of temporary removal and modification of obstacles, and the efficiency of hoisting and transportation (such as the time spent from hoisting to installation), technically feasible hoisting paths are selected to provide direction for subsequent scheme selection.

[0056] 4) Equipment Disassembly Degree Calculation Module Operation: Based on the minimum passage size of the selected hoisting path, the maximum allowable size of the cooling tower components is determined using the equipment component transportation size threshold judgment algorithm. The calculation formula for the equipment component transportation size threshold judgment algorithm is as follows: The original dimensions of each component of the cooling tower are compared with their maximum allowable dimensions: the original dimensions of the heat dissipation module are relatively small and can be hoisted as a whole; the original dimensions of the tower shell are relatively large, and the minimum number of disassembly steps needs to be calculated using an algorithm to determine the number of disassembly steps. The formula for the algorithm to determine the number of disassembly steps is as follows: The dimensions of individual components after disassembly are obtained using a component size conversion algorithm. The calculation formula for the component size conversion algorithm is as follows: This ensures that the disassembled parts can avoid surrounding obstacles, while reducing unnecessary disassembly to lower assembly difficulty and performance impact.

[0057] 5) Operation of the Scheme Economic Evaluation Module: For feasible hoisting paths and corresponding dismantling schemes, calculate the comprehensive cost of the equipment dismantling scheme and the structural modification scheme. When the comprehensive cost difference between equipment dismantling and structural modification is significant... At that time, an additional evaluation dimension is triggered: Handling cycle: calculate the total time for disassembly, transportation and assembly of the equipment disassembly plan. Total time for demolition, transportation, and restoration of the structural alteration plan The formulas for calculating the duration are as follows: ; Office Impact Index: Based on the distribution of surrounding office areas along the route, calculate the impact coefficients of noise, dust, and passageway obstruction during transportation on office efficiency. The value ranges from 0 to 1, and the calculation formula is: Output the economic evaluation results.

[0058] 6) Optimal Solution Output Module Operation: Based on the adaptability analysis results of the integrated transportation route planning module and the evaluation results of the solution economic evaluation module, a basic screening is performed (retaining solutions with a route adaptability index higher than a preset threshold). The solution with the highest net profit is selected based on the net profit of each solution; the net profit of the equipment dismantling solution... The calculation formula is: Net income from structural alteration plan The calculation formula is: When two options with the same net profit exist, compare... and Choose the option with the shortest construction period; when construction periods are the same, compare... The scheme with the least impact on the surrounding environment is selected; when the equipment is disassembled to the smallest module unit and still cannot be transported, the deep evaluation of the structural disassembly and modification scheme is forced to trigger, at which time the net benefit calculation of the structural disassembly and modification scheme needs to be superimposed with the invalid cost of extreme disassembly of the equipment , the formula is adjusted as: , is the net benefit of the structural disassembly and modification scheme in special cases, which is compared with the net benefit of the equipment disassembly scheme, and the final optimal scheme is selected, and the final selected optimal scheme is: demolish part of the steel platform and the lower air pipe, disassemble the cooling tower into three parts according to the minimum disassembly times calculated, transport through "car hoist from the south side + direct hoisting to the installation point", and output the report containing the optimal hoisting path, equipment disassembly scheme, temporary disassembly and modification area and range, estimated cost (disassembly and restoration cost, hoisting and labor cost), construction period and environmental impact assessment content, to provide clear and executable guidance scheme for on-site construction.

[0059] As shown in Example Two, for the hoisting scene of replacing the cooling tower in the high-altitude open area, the present application realizes the seamless fusion of the high-precision indoor coordinate frame of mixed reality and the "air-ground" integrated data chain of unmanned aerial vehicle oblique photography, forms a continuous three-dimensional data graph covering the roof, steel beam, pipeline and lower passage, and makes the system complete the threefold checking of "minimum passage size-maximum allowed size of loose parts-dismantling and modifying area" at one time, completely eliminating the blind area caused by the experience estimation of the traditional hoisting scheme. Therefore, the open-air high-altitude transportation changes from "hoisting first and measuring later" to "calculating first and hoisting later", and the equipment damage risk and rework cost are almost zero, which fully verifies the practical value and economic benefit of digital technology in high-altitude equipment hoisting and transportation.

[0060] Example Three: Moving of large refrigeration units in industrial park plant (indoor and outdoor comprehensive scene, involving comprehensive economic analysis of equipment and building structure disassembly and replacement, using unmanned aerial vehicle and mixed reality equipment for early scanning).

[0061] In the indoor and outdoor scenes of the industrial park factory building, the indoor part uses a mixed reality device to capture the channel by identifying the two-dimensional code reference point in the channel, and placing a 1 m reference ruler at the key position of the channel as a reference. The mixed reality device camera is taken as the end point of the ray, and rays are projected to the two ends of the reference ruler to form a triangle. Then, the rays are extended to the two ends of the indoor corridor and the corner of the equipment room to form similar triangles. Combined with the horizontal rotation angle captured by the device and the spatial coordinates of the two-dimensional code reference point, the vertical distance from the camera to the reference ruler and the measured area is automatically calculated. According to the proportional properties of the corresponding sides of similar triangles, precise data and details such as the width of the indoor channel and the size of the corner are quickly obtained. The outdoor open area uses a drone for oblique photography, and a 1 m reference ruler is also placed at the key position on the ground. The camera lens of the drone is taken as the end point of the ray, and rays are projected to the two ends of the reference ruler to form a triangle. Then, the rays are extended to the two ends of the outdoor transportation channel and the equipment storage area to form similar triangles. Combined with the altitude and positioning data of the drone, the relevant vertical distance is calculated to obtain the three-dimensional space data and obstacle information of the outdoor area. At the same time, the parameters of the large refrigeration unit to be transported are collected, including the type of the equipment, the attributes of the core component modules, the structural restriction information, and the disassembly guide file provided by the manufacturer, which provides basic data related to the equipment for subsequent model construction and scheme analysis.

[0062] After receiving the spatial data output by the data collection module, the virtual model construction module constructs a three-dimensional virtual model covering the indoor channel of the factory building, the outdoor transportation channel, and the connecting area. The model includes the length, width, and height of each channel, the specific parameters of the key nodes, and the detailed information of the position and attributes of the obstacles. It can completely present the environmental characteristics of the entire transportation path, mark the non-stress structure area that can be temporarily removed (such as part of the lightweight partition wall and temporary fence) and the stress structure restriction area that cannot be changed (such as the load-bearing column and load-bearing wall), provide clear area division for subsequent structure disassembly evaluation, and then perform model size error checking. By comparing the sizes of each segment in the virtual model with the corrected sizes from the data collection module, the absolute value of the difference is calculated. When the absolute value exceeds ±5 cm, it is determined that the error is out of tolerance. At this time, the reference object is placed again in the area where the error is out of tolerance, and the data is collected again by the mixed reality device or the drone. The corrected size is recalculated using the channel size precision correction algorithm. The calculation formula of the channel size precision correction algorithm is: , which ensures the accuracy of the model and provides a reliable virtual platform for subsequent path planning and scheme analysis, as shown in Figure 3 .

[0063] The transport path planning module analyzes the feasibility of the disassembly transport path of the refrigeration unit and the overall transport path after the structural modification based on the constructed three-dimensional virtual model. In the analysis process, for the structural modification path, the structural safety algorithm is used to verify whether the influence of the non-load-bearing structure after the structural modification on the overall stress is within the allowable range. The calculation formula of the structural safety algorithm is: Meanwhile, the functional integrity index is used to evaluate whether the functional integrity of the structure after the modification meets the standard. The calculation formula of the functional integrity index is: For the disassembly transport path, the path adaptation index is used to evaluate the adaptability in combination with the equipment requirements to screen out the feasible transport path. The calculation formula of the path adaptation index is: It is found through analysis that the core components of the refrigeration unit cannot be disassembled to meet the size requirements of the disassembly transport path, so the overall transport path after the structural modification is more feasible, providing a direction for the subsequent analysis of the scheme.

[0064] According to the minimum passage size of the transport path output by the transport path planning module and the parameters of the refrigeration unit, the equipment disassembly degree calculation module analyzes the equipment. The calculation formula of the disassembly times determination algorithm is: The maximum allowable size of the equipment parts is determined by the equipment parts transport size threshold determination algorithm. The calculation formula of the parts size conversion algorithm is: After comparing the original size of each component of the unit with the size, it is found that the size of the core non-disassemblable unit exceeds the maximum allowable size. Even if it is disassembled to the smallest module, it still cannot pass through the existing path. Therefore, only part of the peripheral disassemblable components are calculated to determine their disassembly degree to cooperate with the overall transport after the structural modification, avoiding unnecessary invalid disassembly.

[0065] After receiving the path analysis results and disassembly parameters, the scheme economic evaluation module calculates the comprehensive cost of the equipment disassembly scheme and the structural modification scheme. Through calculation, the cost of the equipment disassembly scheme is higher due to the multiple invalid disassembly of the core unit, while the comprehensive cost of the structural modification scheme is lower, and the cost difference between the two schemes exceeds Therefore, the cost is taken as the main evaluation basis. At the same time, the carrying cycle (total time of modification-transport-recovery) and the office influence index (impact on the surrounding office area) of the structural modification scheme are also evaluated. The calculation formula of the carrying cycle of the modification scheme is: ; The calculation formula of the office influence index is: The economic and influence levels are considered comprehensively to provide economic and influence level basis for the selection of the optimal scheme.

[0066] The optimal solution output module integrates the adaptability analysis results of the transportation route planning module (evaluated by the route adaptability index) and the evaluation results of the solution economic evaluation module for screening. Since the equipment cannot be transported even when disassembled to the smallest module unit, a deep evaluation of the structural modification solution is forcibly triggered. At this time, the net benefit of the structural modification solution is calculated by adding the ineffective cost of extreme equipment disassembly, and the net benefit is re-compared with the equipment disassembly solution. The calculation is as follows: Ultimately, the structural dismantling and modification scheme was determined to be the optimal solution, and a transportation report was generated that included the specific dismantling and modification areas, dismantling and restoration costs, and construction period, providing a specific and feasible implementation plan for the relocation of large refrigeration units in the industrial park.

[0067] In summary, this embodiment targets an industrial park factory scenario. The data acquisition module integrates indoor and outdoor data, the virtual model building module generates a complete transportation route model, the transportation route planning module discovers that the core components of the unit cannot be disassembled and proceeds to evaluate structural modification routes, the equipment disassembly degree calculation module only analyzes detachable peripheral components, and the scheme economic evaluation module shows that the structural modification scheme is more cost-effective. Finally, the scheme is output. Through the application of various modules and algorithms, the transportation problem of core components is solved, providing a feasible solution for the transportation of large equipment that requires structural modification.

[0068] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A mixed reality-based intelligent transportation analysis system for building equipment and materials, characterized in that, The system includes: Data acquisition module: Collects spatial data of the transportation channel and surrounding environment through mixed reality devices and UAV telemetry technology, and collects parameters of the equipment to be transported, including equipment type, core component module attributes, structural limitation information and disassembly guidance documents provided by the manufacturer; Virtual model construction module: Receives spatial data output from the data acquisition module, constructs a three-dimensional virtual model of the transportation channel, marks non-stressed structural areas that can be temporarily removed and structurally restricted areas that cannot be changed in the model, verifies the model size error, and generates a three-dimensional virtual model. Transportation route planning module: Based on the 3D virtual model output by the virtual model construction module, the feasibility of the transportation route after equipment disassembly and the overall transportation route after structural modification are analyzed respectively. The adaptability is evaluated by the route adaptability index in combination with equipment requirements, and feasible transportation routes are selected. Equipment disassembly degree calculation module: Based on the minimum passage size and equipment parameters output by the transportation route planning module, for disassembleable equipment, calculate the minimum number of disassembly steps and the module size after disassembly; The economic evaluation module receives the path analysis results from the transportation route planning module and the dismantling parameters from the equipment dismantling degree calculation module. It calculates the comprehensive cost of the equipment dismantling plan and the structural modification plan. When the cost difference between the two plans is less than or equal to a preset threshold, it evaluates the handling cycle and the impact on the surrounding office environment, and outputs the economic evaluation results. The optimal solution output module combines the adaptability analysis results of the integrated transportation route planning module and the evaluation results of the solution economic evaluation module to select the optimal transportation solution and output a transportation report. In the transportation route planning module, the criteria for determining the non-removable core units of the moving equipment are: structural limitation specifications provided by the equipment manufacturer, functional correlation parameters of core components, and historical disassembly damage records; the feasibility verification of temporary structural dismantling must meet the following requirements: the dismantling area is a non-load-bearing structure, and the impact coefficient on the overall stress after dismantling is ≤5% verified by the structural safety algorithm; the structural safety algorithm formula is: ,in, The force influence coefficient, This represents the load value at the i-th stress point of the structure after the wall is removed. The original load value before demolition, n is the total number of stress points; the scope of demolition and alteration is limited to the area that can be changed, and the functional integrity index after restoration is ≥95%, the formula for the functional integrity index is: ,in, This is a functional integrity index. To determine the effective area / parameter value of the j-th function after restoration, To restore the original function values, m is the total number of function items.

2. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, In the data acquisition module, in indoor scenes, the mixed reality device identifies the QR code reference points posted in the passage and combines them with horizontal rotation angle capture to explore the passage. At the same time, it uses a 1m reference ruler placed in the passage as a reference object to obtain the passage size reference data and details. In outdoor scenes, the drone performs oblique photography of the high-altitude open area and obtains the three-dimensional spatial data and obstacle information of the area by combining it with the reference object.

3. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, In the virtual model construction module, the model size error verification is performed by comparing the dimensions of each segment in the virtual model with the corrected dimensions obtained from the data acquisition module, and calculating the absolute value of the difference between the two. When the absolute value exceeds ±5cm, the error is deemed excessive. In this case, a reference object is repositioned in the area where the error exceeds the standard, and data is collected again using a mixed reality device or drone. The corrected dimensions are then recalculated using a channel size precision correction algorithm. The calculation formula for the channel size precision correction algorithm is as follows: ,in This is the corrected actual size of the channel. It is the raw size data collected through MR equipment or drones. This is the spatial coordinate correction coefficient for the QR code reference point, calculated based on the deviation between the preset coordinates and the actual spatial coordinates of the QR code reference point. Its value ranges from 0.98 to 1.

02. It is the channel morphology correction coefficient, which is obtained by fitting a linear regression model based on the physical morphology of the channel and the size deviation pattern of similar morphological channels in historical data. The value range is 0.95-1.

05.

4. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, In the virtual model construction module, the 3D virtual model includes the following channel information: length, width, height and direction of each channel segment; key node information: corner angle, door frame internal dimensions, step height and number, freight elevator car internal dimensions and door width; obstacle information: pipeline diameter, direction and height above ground, location and volume of small equipment, wall thickness and material.

5. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, In the transportation route planning module, the formula for calculating the route suitability index is: ,in It is the path fit index. These are weighting coefficients, corresponding to size matching degree, dismantling and modification cost ratio, and transportation efficiency, respectively. They are calculated based on the dispersion of these three indicators in historical transportation plan data, and their sum is 1. It is the size of the critical node in the path. This refers to the cost of temporary dismantling and alteration. It is the total budget of the plan. It is the percentage of transportation time. It is the maximum permissible size of the equipment components.

6. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, In the transportation route planning module, the maximum allowable size of the equipment components is calculated using an algorithm to determine the transportation size threshold for equipment components. The calculation formula is as follows: ,in These are the maximum permissible dimensions of the equipment's individual components. This is the operating space reservation coefficient, determined based on the type of transportation equipment and the difficulty of operation, combined with the minimum operating space required by safety regulations. Its value ranges from 0.8 to 0.

9. These are the original dimensions of the equipment. It is the dismantling feasibility coefficient, which is output by a machine learning model based on the complexity of the equipment structure and the dismantling process requirements. The value range is 0.5-0.

9.

7. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, The equipment disassembly degree calculation module calculates the minimum disassembly degree of the equipment and pipelines by comparing the original dimensions of each component with the maximum allowable dimensions of the equipment components determined by the equipment component transportation size threshold judgment algorithm. Compare; when the original dimensions of the parts are... The component is determined to be non-disassembly required, with a disassembly level of 0, based on its original dimensions. The minimum number of disassembly steps is determined by an algorithm that determines the number of disassembly steps. The formula for this algorithm is as follows: ,in To minimize the number of disassembly steps, These are the original dimensions of the component. The function is for rounding up. After disassembly, the dimensions of each component are calculated using a component size conversion algorithm. The calculation formula for the component size conversion algorithm is as follows: ,in These are the dimensions of a single component after disassembly. The decomposition margin coefficient has a value range of 0.95-0.

98.

8. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, In the economic evaluation module of the proposed solution, when the comprehensive cost difference between equipment dismantling and structural modification is considered... At that time, an additional evaluation dimension is triggered: Handling cycle: calculate the total time for disassembly, transportation and assembly of the equipment disassembly plan. Total time for demolition, transportation, and restoration of the structural alteration plan The formulas for calculating the duration are as follows: ; ,in, Disassembly takes a long time. The time required for transportation after disassembly Assembly takes time; The time required for structural demolition For the overall transportation time, The time required for structural restoration; Office impact index: Based on the distribution of office areas around the route, calculate the impact coefficient of noise, dust, and passageway obstruction during transportation on office efficiency. The value ranges from 0 to 1, and the calculation formula is: ,in, , , For the influence factor weights, and Adjust according to the actual scenario. This represents the actual noise level in decibels. The noise standard value for office areas This represents the actual dust concentration. The standard concentration of dust in the office area. For channel occupancy time, To assess the total duration of the evaluation period.

9. The intelligent transportation analysis system for building equipment and materials based on mixed reality according to claim 1, characterized in that, In the economic evaluation module of the proposed solution, the optimal solution output module uses the following selection logic for the optimal solution: Basic selection: setting a preset threshold for the path adaptability index. , Based on historical data analysis, schemes with a fit index higher than the threshold were retained; this was combined with the net benefit of each scheme calculated by the economic evaluation module. Select the option with the highest net profit; the equipment dismantling option has the highest net profit. The calculation formula is: Net income from structural alteration plan The calculation formula is: ,in, Save revenue by implementing a device dismantling solution. To reduce assembly and disassembly costs, To cover the transportation costs after disassembly, To mitigate risk costs; To save revenue from structural alteration plans, To cover the costs of demolition, alteration, and restoration, For overall transportation costs, Consider the risks and costs associated with structural alterations; when alternatives with the same net benefit exist, compare... and Choose the option with the shortest construction period; when construction periods are the same, compare... Choose the option with the least impact on the surrounding environment; if the equipment still cannot be transported even after being disassembled to its smallest modular unit, a deep evaluation of the structural modification plan should be forcibly triggered. In this case, the net benefit calculation of the structural modification plan needs to include the ineffective cost of extreme equipment disassembly. The formula is adjusted as follows: , The net benefit of the structural dismantling and modification scheme under special circumstances is compared with the net benefit of the equipment dismantling scheme to select the final optimal scheme.

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