Engineering project surveying and mapping data intelligent management system

Abstract

The invention discloses an engineering project surveying and mapping data intelligent management system, and relates to the technical field of engineering project management. Comprising a data acquisition module, a data prediction module, a data acquisition module, a data correction module and an anomaly evaluation module. The data acquisition module is used for acquiring three-dimensional geologic model data of an engineering project construction position, three-dimensional model data of engineering project design and position data of project planning and an engineering project surveying and mapping site. The data prediction module is used for analyzing the collected data; the technical key points are as follows: on the basis of design data and project planning of an engineering project, the situation of each surveying and mapping is further predicted, and when the engineering project surveying and mapping data are uploaded each time, comparison is performed to judge the rationality of the engineering project surveying and mapping data, so that whether the data are abnormal or not can be found in time; related surveying and mapping personnel are helped to upload accurate data again in time, use is convenient, and good use prospects are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering project management, and in particular to an intelligent management system for surveying and mapping data of engineering projects. Background Art

[0002] An engineering project is a project that uses engineering construction as a carrier. It is a one-time engineering construction task that is managed. It takes buildings or structures as target outputs, requires payment of a certain fee, follows certain procedures, is completed within a certain period of time, and must meet quality requirements.

[0003] Engineering surveying and mapping is a comprehensive technical field that involves aerial, surface, water and underground surveys and investigations of the project areas, thereby providing important data support for project management, design and construction. It can directly reflect whether there are deviations in the construction process.

[0004] The existing application publication number is CN116302624B, and the invention patent named "An Intelligent Management System for Engineering Project Surveying and Mapping Data" records that it includes: an acquisition unit, which obtains the engineering data model and the data surveying and mapping model; the model is CAD data; a classification unit, which obtains the model sub-area data information in the engineering data model and the data surveying and mapping model respectively; an analysis unit, which analyzes and judges the text, numbers and graphics in the surveying and mapping data, and then performs cross-level processing through the processing unit to generate corresponding signals, a feedback unit, which obtains data normal signals, data verification signals and data abnormal signals. When the data normal signal is obtained, the abnormal part in the data surveying and mapping model is marked with red marking, and it is manually checked and calibrated; the present invention performs separate sub-area analysis on the surveying and mapping data, which is convenient for later data verification processing and judgment of test data to ensure the accuracy of surveying and mapping.

[0005] However, based on the above content and in combination with the prior art, the central idea of ​​the solution recorded in the above patent is mainly aimed at the data collection part, and the focus is on how to ensure that the collected data is in an independent state to facilitate subsequent correction, and to classify the collected data to facilitate subsequent review by relevant personnel.

[0006] However, in actual use of the above scheme, the functions of the equipment for collecting surveying and mapping data are becoming more and more comprehensive. It can cooperate with computers to directly generate corresponding reports and classify files according to keywords. Therefore, its functionality is gradually reduced. In addition, the management of existing surveying and mapping data is only the early management, and does not involve further analysis and application of surveying and mapping data. Most of them are manually compared and judged by relevant technical personnel, which makes the workload of relevant technical personnel heavy and does not meet people's usage requirements. For this reason, we have developed an intelligent management system for engineering project surveying and mapping data. Summary of the invention

[0007] 1. Technical issues to be solved

[0008] In view of the deficiencies in the prior art, the present invention provides an intelligent management system for engineering project surveying and mapping data, which, based on the design data and project planning of the engineering project, further predicts the situation of each surveying and mapping. Each time the engineering project surveying and mapping data is uploaded, a comparison will be made to judge the rationality of the engineering project surveying and mapping data. It can promptly discover whether the data is abnormal, and help relevant surveying and mapping personnel to upload accurate data again in time. It is convenient to use and has good results.

[0009] (II) Technical solution

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0011] An intelligent management system for surveying and mapping data of an engineering project, comprising a data collection module, a data prediction module, a data acquisition module, a data correction module and an abnormality assessment module:

[0012] Data acquisition module: used to collect 3D geological model data of the construction location of the project, 3D model data of the project design, project planning, and location data of the project surveying and mapping location;

[0013] Data prediction module: used to analyze the collected data, predict the surveying and mapping data of the engineering project at different surveying and mapping time points according to the preset project plan, calculate the standard interval based on the surveying and mapping data, and calculate the predicted progress data based on the predicted surveying and mapping data;

[0014] Data acquisition module: used to obtain instrument surveying and mapping data and environmental data, and calculate the engineering project surveying and mapping data, and then compare the engineering project surveying and mapping data with the predicted standard interval. When the engineering project surveying and mapping data is outside the standard interval, the surveying and mapping data is marked and warned until the engineering project surveying and mapping data that meets the standard interval is re-uploaded or the continuously uploaded engineering project surveying and mapping data is within the same range;

[0015] Data correction module: when the surveying and mapping data of a project is outside the standard range, the real progress data of the project is calculated, and the real progress data is compared with the predicted progress data to evaluate the difference between the predicted construction speed and the real construction speed, thereby calculating the efficiency value, and executing the corresponding strategy according to the difference between the efficiency value and the set standard value;

[0016] Abnormal assessment module: used to obtain the surveying and mapping data of the engineering project, and build a three-dimensional building model based on the surveying and mapping data of the engineering project, and compare the constructed three-dimensional building model with the three-dimensional model of the engineering project design, generate the model coincidence CL, and compare the model coincidence with the standard value, and execute the corresponding abnormal plan based on the comparison result.

[0017] Preferably, the three-dimensional geological model data of the location of the engineering project is three-dimensional model data generated based on surveying and mapping data collected after the foundation construction of the engineering project.

[0018] Preferably, the calculation formula for predicting the surveying and mapping data of the engineering project at different surveying and mapping time points according to the preset project plan is as follows:

[0019]

[0020] Where SaM is the surveying and mapping data of the project at the predicted surveying and mapping time point, t ch -t kg is the construction days, t ch is the survey date, t kg is the project start date, t zq SaM is the expected construction time of each sub-project in the project. wc Surveying and mapping data after completion of sub-projects planned for the project;

[0021] The standard interval (SaM) is calculated based on the surveying data. min , SaM max ) is calculated as follows:

[0022]

[0023] In the formula, A, B and C are constant coefficients, 1<B<A<5, 0<C<0.3, e is a natural constant, is the average working temperature during the construction period of the project, T b It is the best temperature for construction projects. is the average working humidity during the construction period of the project, H b It is the optimal humidity during construction of engineering projects.

[0024] Preferably, the formula for calculating the predicted progress data based on the predicted surveying and mapping data is as follows:

[0025]

[0026] Where Ps is the predicted progress data calculated based on the predicted surveying and mapping data, K is the number of sub-projects, and Psf i is the progress data of the i-th sub-project, α xis the proportion of the ith sub-project to the entire project, L is the number of categories of surveying and mapping data in the sub-project, is the surveying and mapping data of the xth category, SaM lb Completed mapping data for the xth category of project planning, β x It is the proportion data of the x-th category in the sub-items.

[0027] Preferably, the environmental data includes the ambient temperature, air humidity, atmospheric aerosol content and air pressure data during the engineering project surveying and mapping. The formula for calculating the engineering project surveying and mapping data is as follows:

[0028]

[0029] Where SaM1 is the surveying and mapping data of the engineering project, SaM c The surveying and mapping data monitored by the instrument, QW y is the influence ratio of ambient temperature and air pressure on instrument mapping data, SQ y is the influence ratio of air humidity and atmospheric aerosol content on instrument mapping data. D, E, F and G are all constant coefficients, 0<E<G<F<D<1, T b ′ is the instrument standard mapping temperature, T j is the actual temperature when the instrument is measuring, P j is the actual air pressure when the instrument is measuring, P b is the instrument standard mapping pressure, H j is the actual humidity when the instrument is measuring, H b ' is the instrument standard mapping humidity, N j is the atmospheric aerosol content during instrument mapping, N b This is the atmospheric aerosol content during instrument standard mapping.

[0030] Preferably, the steps for determining whether the uploaded engineering project surveying and mapping data is standard are as follows;

[0031] Determine whether the uploaded engineering project surveying and mapping data meets the standard range. If yes, update the engineering project surveying and mapping data;

[0032] If it does not meet the requirements, the engineering project surveying and mapping data uploaded multiple times continuously are checked, and it is determined whether the uploaded engineering project surveying and mapping data are in the same range;

[0033] If they are in the same scope, the surveying and mapping data of the engineering project will be updated;

[0034] If they are not in the same range, please re-upload the engineering project surveying and mapping data.

[0035] Preferably, the steps for determining whether the continuously uploaded engineering project surveying and mapping data are within the same range are as follows:

[0036] Calculate the difference ratio between the engineering project surveying and mapping data uploaded for multiple times and the predicted surveying and mapping data;

[0037]

[0038] Where CB1 is the difference between the first uploaded engineering project surveying and mapping data and the predicted surveying and mapping data during the continuous multiple uploads, CB n SaM is the difference between the nth uploaded engineering project surveying and mapping data and the predicted surveying and mapping data during the process of multiple consecutive uploads. n The engineering project surveying and mapping data uploaded for n times;

[0039] Calculate the difference between the two groups of difference ratios CB1-CB n , and determine whether the difference is within the difference interval (-1,1). When the difference is within the difference interval (-1,1), the re-uploaded engineering project surveying and mapping data and the first-acquired engineering project surveying and mapping data are in the same range; otherwise, they do not belong to the same range.

[0040] Preferably, the formula for calculating the efficiency value is as follows:

[0041]

[0042] Where η is the efficiency value, Ps 真 This is the real progress data.

[0043] Preferably, when executing a corresponding strategy according to the difference between the efficiency value and the set standard value;

[0044] If 90% < η < 100%, the strategy implemented is to increase the proportion of engineering staff tasks;

[0045] Adjusted engineering staff task increase ratio Q x The calculation formula is:

[0046]

[0047] Where o is the number of engineering personnel;

[0048] If η<90%, the strategy implemented is to increase the number of engineering personnel;

[0049] The calculation formula for increasing the number of engineering personnel is:

[0050]

[0051] In the formula, pox z To increase the number of engineering staff, α is the work efficiency coefficient of the new staff compared to the original staff, 0.8<α<0.98.

[0052] Preferably, the abnormal solution is that if the model coincidence degree CL is equal to the standard value Bz, no adjustment is required:

[0053] If the model coincidence degree CL is less than the standard value Bz, it will be marked, and the model and data will be warned of abnormalities, an abnormality report will be generated, and the abnormality report will be sent to the staff.

[0054] (III) Beneficial effects

[0055] The present invention provides an intelligent management system for surveying and mapping data of engineering projects, which has the following beneficial effects:

[0056] 1. The present invention records an intelligent management system for engineering project surveying and mapping data, which is based on the design data and project planning of the engineering project, and further predicts the situation of each surveying and mapping. Each time the engineering project surveying and mapping data is uploaded, a comparison will be made to judge the rationality of the engineering project surveying and mapping data. It can promptly discover whether the data is abnormal, and help relevant surveying and mapping personnel to upload accurate data again in time. It is convenient to use and has good effect.

[0057] 2. The present invention records an intelligent management system for engineering project surveying and mapping data, which analyzes and processes predicted engineering project surveying and mapping data and engineering project surveying and mapping data to obtain predicted progress data and actual progress data, and further compares and analyzes them, so as to help relevant managers to clearly and timely understand the project progress, and directly calculate the efficiency value, and further analyze the efficiency value, and provide corresponding solution strategies, so as to facilitate relevant managers to make timely adjustments and complete engineering projects in a timely manner. The use effect is good and has a good prospect for use.

[0058] 3. The present invention records an intelligent management system for engineering project surveying and mapping data, which analyzes and processes the engineering project surveying and mapping data, constructs a three-dimensional model based on the engineering project surveying and mapping data, directly compares the real model with the design model, and can intuitively and clearly understand the construction accuracy of the engineering project by checking the model overlap, effectively preventing the occurrence of construction errors, reducing the workload of relevant staff, and having good use effect and good use prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A flowchart of an intelligent management system for surveying and mapping data of an engineering project according to the present invention;

[0060] Figure 2 The present invention provides a location map of the engineering project surveying and mapping sites of an intelligent management system for engineering project surveying and mapping data.

[0061] Figure 3 The present invention discloses a state diagram of engineering project surveying and mapping in an intelligent management system for engineering project surveying and mapping data. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Research reasons

[0064] The existing intelligent management system for surveying and mapping data of engineering projects mainly focuses on the data collection part, and focuses on how to ensure that the collected data is in an independent state to facilitate subsequent correction, and to conduct secondary classification of the collected data, and to conduct reasonable classification and statistics, so as to facilitate subsequent review by relevant personnel.

[0065] However, when the above scheme is actually used, the functions of the equipment for collecting surveying and mapping data are becoming more and more comprehensive. They can all be connected to the Internet and have positioning functions. When in use, they can cooperate with computers to directly generate corresponding reports (fixed-point generation, or according to established classification rules, thus eliminating the step of secondary processing of the collected data), and at the same time realize file classification according to keywords. Therefore, the functionality of the existing intelligent management system for surveying and mapping data of engineering projects is gradually reduced, and the management of existing surveying and mapping data is the management of the data collection part. After the surveying and mapping data are collected and classified, it only plays a storage effect. Subsequent analysis and judgment require manual comparison and judgment by relevant technical personnel, and no further analysis and application of surveying and mapping data are involved. The overall functionality is insufficient, which makes the workload of relevant technical personnel heavy and the work intensity high, and does not meet people's usage requirements.

[0066] Design ideas

[0067] The existing systems are all based on analysis and comparison of collected data, and their main function is to segment the existing data, which is convenient for subsequent manual judgment on whether the data is abnormal. However, this method requires manual subsequent comparison and processing, and cannot discover the problem in time, and there is a certain lag.

[0068] Therefore, during the research and development process, the initial idea was to comprehensively combine design and construction, and to predict the corresponding surveying and mapping data for the surveying and mapping time point, and to judge the accuracy of the uploaded data by comparing the predicted surveying and mapping data with the actual surveying and mapping data. This method makes the data comparable, so there is a judgment standard that can realize automatic proofreading of the data, and the workload of the corresponding staff will be greatly reduced.

[0069] However, in actual use, it is found that due to the influence of the external environment, the progress of construction often fails to achieve the expected results. Therefore, in actual use, there is often a situation where the predicted surveying and mapping data does not correspond to the actual surveying and mapping data. At this time, the direct comparison method cannot be used to determine whether the data is accurate. Therefore, the above scheme may cause false alarms when used, which does not meet people's requirements.

[0070] Therefore, in the middle of the research and development, we changed our thinking and added the option of comparing continuously uploaded data. When the continuously uploaded data are in the same range (there will be a certain error in each measurement), the data collected this time is considered valid and can be updated directly. This solution is used.

[0071] However, in the actual use process, it was found that this solution achieved effective data comparison and ensured the accuracy of uploaded data, but it was only a simple analysis and processing of the collected data without further detailed analysis. The management effect was relatively weak, and the overall integration with the project construction was not high. Further analysis and judgment by relevant staff was still required, which did not meet people's requirements.

[0072] Therefore, in the later stage of research and development, we fully combined the previous plans, added subsequent data analysis, calculated the real progress data, and formulated corresponding strategies based on the real progress data. At the same time, we further made models and compared the models to realize the judgment of construction accuracy. This makes the system fully applicable to the entire construction and acceptance stages of the engineering project. The overall use is more comprehensive, the functionality is higher, the use effect is good, and it has a good prospect for use.

[0073] Study plan

[0074] Hardware

[0075] Mainly computers and surveying and mapping instruments. Surveying and mapping instruments include total stations, GNSS locators, levels, theodolites, laser rangefinders, topographs, laser plumb lines, etc. With the development of science and technology, existing surveying and mapping instruments can directly send the surveying location and type to the computer through the Internet of Things. The computer directly processes the data, sorts out the corresponding data, and then enters it into the intelligent management system of surveying and mapping data for engineering projects.

[0076] Software

[0077] The software is mainly a computer-based intelligent management system for engineering project surveying and mapping data, which specifically includes data acquisition module, data prediction module, data acquisition module, data correction module and abnormality assessment module:

[0078] Data Acquisition

[0079] This application is based on existing design data, therefore, it is necessary to collect relevant design solutions to find and extract the required data from them. This is based on a data collection module, and when used, the designer inputs the corresponding design solutions into the data collection module.

[0080] Data acquisition module: used to collect 3D geological model data of the construction location of the project, 3D model data of the project design, project planning, and location data of the project surveying and mapping site;

[0081] The data collected by the data collection module are all data that exist at the beginning of the project; therefore, there is sufficient time for processing and analysis.

[0082] The three-dimensional geological model data of the location of the project is generated based on the surveying and mapping data collected after the foundation construction of the project. The overall terrain will basically not change after the foundation construction of the project. Therefore, it is more accurate to use the surveying and mapping data at that moment as the basis for generating a three-dimensional model.

[0083] If it is generated based on pre-construction data, the generated 3D model will change due to changes in the terrain during foundation construction. At this time, it is necessary to redefine the location data of the surveying and mapping locations of the engineering project. Different surveying and mapping locations will result in different data being collected. The data needs to be further converted and processed for calculation, which is more cumbersome and is affected by the measurement errors of each time, affecting the accuracy of subsequent analysis.

[0084] Data prediction

[0085] After collecting the relevant data of the engineering project, it is necessary to further analyze and process the collected data to predict the surveying and mapping data required for the engineering project, so as to facilitate comparison with the actual surveying and mapping data collected subsequently. This process is based on the data prediction module.

[0086] The data prediction module is used to analyze the collected data, predict the surveying and mapping data of the engineering project at different surveying and mapping time points according to the preset project plan, calculate the standard interval based on the surveying and mapping data, and calculate the predicted progress data based on the predicted surveying and mapping data;

[0087] The calculation formula for predicting the surveying and mapping data of engineering projects at different surveying and mapping time points according to the preset project plan is as follows:

[0088]

[0089] Where SaM is the surveying and mapping data of the project at the predicted surveying and mapping time point, t ch -t kg is the construction days, t ch is the survey date, t kg is the project start date, tzq SaM is the expected construction time of each sub-project in the project. wc Surveying and mapping data after completion of sub-projects planned for the project;

[0090] t ch -t kg It is usually the surveying and mapping interval, which is also the actual number of construction days, and is the surveying and mapping cycle.

[0091] For example, a sub-project takes 60 days to complete, and the surveying cycle is t ch -t kg The project is planned for 10 days. After the sub-projects are completed, the height survey data SaM = 20 meters.

[0092] During normal construction, management personnel will also work according to the original plan. Therefore, under normal circumstances, if there is no construction on a certain day due to environmental reasons, overtime will be used in the adjacent days to ensure that the construction is carried out according to the expected plan. At this time, there is no need to consider the impact of weather factors on the number of construction days separately. You only need to consider the impact of weather on construction efficiency. Therefore, under normal circumstances, this method can be used for direct calculation.

[0093] The standard interval (SaM) is calculated based on the surveying data. min , SaM max ) is calculated as follows:

[0094]

[0095] In the formula, A, B and C are constant coefficients, 1<B<A<5, 0<C<0.3, e is a natural constant, is the average working temperature during the construction period of the project, T b It is the best temperature for construction projects. is the average working humidity during the construction period of the project, H b It is the optimal humidity during construction of engineering projects.

[0096] Affected by the environment, the progress of the overall construction will also change to a certain extent. This is the normal adjustment range. For example, in high temperature or rainy weather, the higher the temperature or the lower the temperature, the more it affects the efficiency, and it rises exponentially within a certain range. The collected data is simulated and the above efficiency formula is obtained. The change in efficiency will naturally cause the change in the construction progress, so that the expected data cannot be achieved during the surveying and mapping. In addition, during construction, in order to ensure the construction period, the time provided is longer. When the external environment is comfortable, there will naturally be a situation where the construction speed exceeds expectations, but the improvement is limited. Therefore, it is necessary to calculate the standard interval (SaM min , SaM max ).

[0097] By using this method for calculation, a more accurate standard interval for surveying and mapping data can be obtained.

[0098] The formula for calculating the predicted progress data based on the predicted surveying and mapping data is as follows:

[0099]

[0100] Where Ps is the predicted progress data calculated based on the predicted surveying and mapping data, K is the number of sub-projects, and Psf i is the progress data of the i-th sub-project, α x is the proportion of the ith sub-project to the entire project, L is the number of categories of surveying and mapping data in the sub-project, is the surveying and mapping data of the xth category, SaM lb Completed mapping data for the xth category of project planning, β x It is the proportion data of the x-th category in the sub-items.

[0101] α x and β x It is calculated based on the construction difficulty or construction time marked in the project design report.

[0102] This progress is the progress of the entire construction project. Using this method to directly count the progress data can help relevant managers understand the construction status of the entire project.

[0103] For example: a project has 5 sub-projects, and the specific data of the sub-projects are as follows:

[0104] The heights in the table below are collected by measuring with a height meter. The standard heights are surveying data after the category is completed. For the convenience of calculation, two sets of key building heights are used as surveying data for calculating the construction progress in each branch project:

[0105]

[0106] The progress data calculated by the above method is Ps≈24.7620%

[0107] That is, the overall completion rate of the project is 24.7620%. Through this data, relevant managers can easily obtain the status of the project construction, which is convenient to use.

[0108] Get real surveying data

[0109] After predicting the construction data of the engineering project, it is compared with the real data to determine whether the real data is accurate and whether the real progress is slow. This process is based on the data acquisition module.

[0110] Data acquisition module: used to obtain instrument surveying and mapping data and environmental data, and calculate the engineering project surveying and mapping data, and then compare the engineering project surveying and mapping data with the predicted standard interval. When the engineering project surveying and mapping data is outside the standard interval, the surveying and mapping data is marked and warned until the engineering project surveying and mapping data that meets the standard interval is re-uploaded or the continuously uploaded engineering project surveying and mapping data is within the same range;

[0111] Environmental data include ambient temperature, air humidity, atmospheric aerosol content and air pressure data during the engineering project surveying and mapping. The above data can be obtained directly from the local meteorological website or through on-site measurement (more accurate). The formula for calculating engineering project surveying and mapping data is as follows:

[0112]

[0113] Where SaM1 is the surveying and mapping data of the engineering project, SaM c The surveying and mapping data monitored by the instrument, QW y is the influence ratio of ambient temperature and air pressure on instrument mapping data, SQ y is the influence ratio of air humidity and atmospheric aerosol content on instrument mapping data. D, E, F and G are all constant coefficients, 0<E<G<F<D<1, T b ′ is the instrument standard mapping temperature, T j is the actual temperature when the instrument is measuring, P j is the actual air pressure when the instrument is measuring, P b is the instrument standard mapping pressure, H j is the actual humidity when the instrument is measuring, H b ' is the instrument standard mapping humidity, N j is the atmospheric aerosol content during instrument mapping, N b This is the atmospheric aerosol content during instrument standard mapping.

[0114] During actual measurement, the external environment will affect the measurement accuracy of the measuring instrument. Therefore, the measured data must be processed to make the surveying data more accurate.

[0115] Generally speaking, for altimeter instruments, the higher the temperature and the lower the air pressure, the larger the measured data will be overall.

[0116] The lower the temperature and the higher the air pressure, the smaller the overall measured data will be.

[0117] The humidity is high and the atmospheric aerosol content is low, which makes the measured data overall higher.

[0118] The humidity is high and the atmospheric aerosol content is high, which makes the measured data overall higher.

[0119] The humidity is low and the atmospheric aerosol content is high, which makes the measured data overall higher.

[0120] The humidity is low and the atmospheric aerosol content is low, which makes the measured data overall accurate.

[0121] The steps to determine whether the uploaded engineering project surveying and mapping data is standard are as follows;

[0122] Determine whether the uploaded engineering project surveying and mapping data meets the standard range. If yes, update the engineering project surveying and mapping data;

[0123] If it does not meet the requirements, the engineering project surveying and mapping data uploaded multiple times continuously are checked, and it is determined whether the uploaded engineering project surveying and mapping data are in the same range;

[0124] If they are in the same scope, the surveying and mapping data of the engineering project will be updated;

[0125] If they are not in the same range, please re-upload the engineering project surveying and mapping data.

[0126] The steps to determine whether the continuously uploaded engineering project surveying and mapping data are within the same range are as follows:

[0127] Calculate the difference ratio between the engineering project surveying and mapping data uploaded for multiple times and the predicted surveying and mapping data;

[0128]

[0129] Where CB1 is the difference between the first uploaded engineering project surveying and mapping data and the predicted surveying and mapping data during the continuous multiple uploads, CB n SaM is the difference between the nth uploaded engineering project surveying and mapping data and the predicted surveying and mapping data during the process of multiple consecutive uploads. n The engineering project surveying and mapping data uploaded for n times;

[0130] Calculate the difference between the two groups of difference ratios CB1-CB n , and determine whether the difference is within the difference interval (-1,1). When the difference is within the difference interval (-1,1), the re-uploaded engineering project surveying and mapping data and the first-acquired engineering project surveying and mapping data are in the same range; otherwise, they do not belong to the same range.

[0131] By adopting the above method, it is possible to quickly and relatively accurately determine whether there is a problem with the detected data. When there is a problem, accurate data can be uploaded in time, so that the system has the function of data verification, the overall use effect is good, and it has a good prospect for use.

[0132] If this method is not adopted and data is obtained directly, due to the large number of measurement locations, data confusion is likely to occur, making subsequent analysis and processing difficult, and the analysis results are also prone to errors. Therefore, a data proofreading function must be designed.

[0133] The present invention records an intelligent management system for engineering project surveying and mapping data, which further predicts the situation of each surveying and mapping based on the design data and project planning of the engineering project. Each time the engineering project surveying and mapping data is uploaded, a comparison will be made to judge the rationality of the engineering project surveying and mapping data. It can promptly discover whether the data is abnormal, and help relevant surveying and mapping personnel to upload accurate data again in time. It is convenient to use and has good use effect.

[0134] Data comparison

[0135] After the real surveying and mapping data is collected, it is necessary to analyze the surveying and mapping data and compare it with the predicted data to determine whether the progress of the project is delayed. This process is based on the data correction module.

[0136] The data correction module is used to calculate the real progress data of the project when the surveying and mapping data of the project is outside the standard range, and compare the real progress data with the predicted progress data to evaluate the difference between the predicted construction speed and the real construction speed, so as to calculate the efficiency value, and execute the corresponding strategy according to the difference between the efficiency value and the set standard value;

[0137] The formula to calculate the efficiency value is as follows:

[0138]

[0139] Where η is the efficiency value, Ps 真 This is the real progress data.

[0140] For example, the predicted progress data Ps = 25%, while the actual progress data Ps 真 is 20%, then the efficiency value is 80%.

[0141] When executing the corresponding strategy based on the difference between the efficiency value and the set standard value;

[0142] If 90% < η < 100%, the strategy implemented is to increase the proportion of engineering staff tasks;

[0143] In this case, the overall progress of the project is slow, but it is within a controllable range and the omissions can be made up by daily workload.

[0144] Adjusted engineering staff task increase ratio Q x The calculation formula is:

[0145]

[0146] Where o is the number of engineering personnel;

[0147] t zq -t ch +t kg is the remaining days, where t zq -(t ch -t kg ) is transformed from the above-mentioned first surveying and mapping analysis formula after construction, and then the Rth measurement after construction, where t ch -t kg Replace with R×(t ch -t kg )

[0148] For example, ch -t kg Take 10 days, t zq For 40 days, o for 20 people, Ps 真 is 24%, Ps is 25%, then the calculated Q x ≈5.58%, that is, compared with before the survey, the daily workload of each construction worker increased by 5.58%

[0149] If η<90%, the strategy implemented is to increase the number of engineering personnel;

[0150] The calculation formula for increasing the number of engineering personnel is:

[0151]

[0152] In the formula, pox z To increase the number of engineering staff, α is the work efficiency coefficient of the new staff compared to the original staff, 0.8<α<0.98.

[0153] For example, ch -t kg Take 10 days, t zq For 40 days, o for 20 people, Ps 真 is 20%, Ps is 25%, α is 0.9, then the calculated pox z ≈7.41, which means that the number of engineering staff needs to be increased by 8 people.

[0154] The above solution can quickly calculate how many staff members need to be added. This method can be convenient for management personnel to view and handle in a timely manner.

[0155] The prediction data for the next survey will be based on the strategy of the last survey, and the prediction progress data and prediction survey data will be regenerated.

[0156] The present invention records an intelligent management system for engineering project surveying and mapping data, which analyzes and processes predicted engineering project surveying and mapping data and engineering project surveying and mapping data to obtain predicted progress data and actual progress data, and further compares and analyzes them, so as to help relevant managers to clearly and timely understand the project progress, and directly calculate the efficiency value, and further analyze the efficiency value, and provide corresponding solution strategies, so as to facilitate relevant managers to make adjustments in time and complete the engineering project in time, with good use effect and good use prospects.

[0157] Abnormal warning

[0158] During the construction of an engineering project, the surveying and mapping data of the engineering project during the construction process can be used to construct a three-dimensional model, and the three-dimensional model can be compared with the design model to determine whether there is any deviation. This process is based on the anomaly assessment module.

[0159] The anomaly assessment module is used to obtain the surveying and mapping data of the engineering project, and to construct a three-dimensional building model based on the surveying and mapping data of the engineering project, and to compare the constructed three-dimensional building model with the three-dimensional model of the engineering project design, to generate the model coincidence degree CL, and to compare the model coincidence degree with the standard value, and to execute the corresponding anomaly plan based on the comparison result.

[0160] The model overlap degree is to directly compare the 3D building model built based on the engineering project surveying and mapping data with the designed 3D model to determine whether the models completely overlap. If they completely overlap, no adjustment is required.

[0161] The abnormal solution is that if the model coincidence degree CL is equal to the standard value Bz, no adjustment is required:

[0162] The standard value Bz is 100%, which means complete overlap.

[0163] If the model coincidence degree CL is less than the standard value Bz, it will be marked, and the model and data will be warned of abnormalities, an abnormality report will be generated, and the abnormality report will be sent to the staff.

[0164] If there is no complete overlap, it means there is a deviation. The model deviation will be marked, and the data corresponding to the deviation will be annotated to generate an abnormality report, which is convenient for relevant technical personnel to quickly review and process.

[0165] The present invention records an intelligent management system for engineering project surveying and mapping data, which analyzes and processes the engineering project surveying and mapping data, constructs a three-dimensional model based on the engineering project surveying and mapping data, directly compares the real model with the design model, and can intuitively and clearly understand the construction accuracy of the engineering project by checking the model overlap, effectively preventing the occurrence of construction errors, reducing the workload of relevant staff, having good use effect, and having good use prospects.

[0166] The above formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0167] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0168] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0169] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An intelligent management system for surveying and mapping data of engineering projects, characterized in that: include: Data acquisition module: used to collect 3D geological model data of the construction location of the project, 3D model data of the project design, project planning, and location data of the project surveying and mapping location; Data prediction module: used to analyze the collected data, predict the surveying and mapping data of the engineering project at different surveying and mapping time points according to the preset project plan, calculate the standard interval based on the surveying and mapping data, and calculate the predicted progress data based on the predicted surveying and mapping data; Data acquisition module: used to obtain instrument surveying and mapping data and environmental data, and calculate the engineering project surveying and mapping data, and then compare the engineering project surveying and mapping data with the predicted standard interval. When the engineering project surveying and mapping data is outside the standard interval, the surveying and mapping data is marked and warned until the engineering project surveying and mapping data that meets the standard interval is re-uploaded or the continuously uploaded engineering project surveying and mapping data is within the same range; Data correction module: when the surveying and mapping data of a project is outside the standard range, the real progress data of the project is calculated, and the real progress data is compared with the predicted progress data to evaluate the difference between the predicted construction speed and the real construction speed, thereby calculating the efficiency value, and executing the corresponding strategy according to the difference between the efficiency value and the set standard value; Abnormal assessment module: used to obtain the surveying and mapping data of the engineering project, and build a three-dimensional building model based on the surveying and mapping data of the engineering project, and compare the constructed three-dimensional building model with the three-dimensional model of the engineering project design, generate the model coincidence CL, and compare the model coincidence with the standard value, and execute the corresponding abnormal plan based on the comparison result.

2. The intelligent management system for surveying and mapping data of an engineering project according to claim 1, characterized in that: The three-dimensional geological model data of the location of the engineering project is three-dimensional model data generated based on surveying and mapping data collected after the foundation construction of the engineering project.

3. The intelligent management system for surveying and mapping data of engineering projects according to claim 2 is characterized by: The calculation formula for predicting the surveying and mapping data of engineering projects at different surveying and mapping time points according to the preset project plan is as follows: Where SaM is the surveying and mapping data of the project at the predicted surveying and mapping time point, t ch -t kg is the construction days, t zq SaM is the expected construction time of each sub-project in the project. wc Surveying and mapping data after completion of sub-projects planned for the project; The standard interval (SaM) is calculated based on the surveying data. min , SaM max ) is calculated as follows: In the formula, A, B and C are constant coefficients, 1<B<A<5, 0<C<0.3, e is a natural constant, is the average working temperature during the construction period of the project, T b It is the best temperature for construction projects. is the average working humidity during the construction period of the project, H b It is the optimal humidity for construction projects.

4. The intelligent management system for surveying and mapping data of engineering projects according to claim 3 is characterized by: The formula for calculating the predicted progress data based on the predicted surveying and mapping data is as follows: Where Ps is the predicted progress data calculated based on the predicted surveying and mapping data, K is the number of sub-projects, and Psf i is the predicted progress data of the completion of the ith sub-project, α x is the proportion of the ith sub-project to the entire project, L is the number of categories of surveying and mapping data in the sub-project, is the surveying and mapping data of the xth category, SaM lb Completed mapping data for the xth category of project planning, β x It is the proportion data of the x-th category in the sub-items.

5. The intelligent management system for surveying and mapping data of engineering projects according to claim 4 is characterized by: The environmental data include the ambient temperature, air humidity, atmospheric aerosol content and air pressure data during the engineering project surveying and mapping. The formula for calculating the engineering project surveying and mapping data is as follows: Where SaM1 is the surveying and mapping data of the engineering project, SaM c The surveying and mapping data monitored by the instrument, QW y is the influence ratio of ambient temperature and air pressure on instrument mapping data, SQ y is the influence ratio of air humidity and atmospheric aerosol content on instrument mapping data. D, E, F and G are all constant coefficients, 0<E<G<F<D<1, T b ′ is the instrument standard mapping temperature, T j is the actual temperature when the instrument is measuring, P j is the actual air pressure when the instrument is measuring, P b is the instrument standard mapping pressure, H j is the actual humidity when the instrument is measuring, H b ' is the instrument standard mapping humidity, N j is the atmospheric aerosol content during instrument mapping, N b This is the atmospheric aerosol content during instrument standard mapping.

6. The intelligent management system for surveying and mapping data of engineering projects according to claim 5 is characterized by: The steps to determine whether the uploaded engineering project surveying and mapping data is standard are as follows; Determine whether the uploaded engineering project surveying and mapping data meets the standard range. If yes, update the engineering project surveying and mapping data; If it does not meet the requirements, the engineering project surveying and mapping data uploaded multiple times continuously are checked, and it is determined whether the uploaded engineering project surveying and mapping data are in the same range; If they are in the same scope, the surveying and mapping data of the engineering project will be updated; If they are not in the same range, please re-upload the engineering project surveying and mapping data.

7. The intelligent management system for surveying and mapping data of engineering projects according to claim 6 is characterized by: The steps to determine whether the continuously uploaded engineering project surveying and mapping data are within the same range are as follows: Calculate the difference ratio between the engineering project surveying and mapping data uploaded for multiple times and the predicted surveying and mapping data; Where CB1 is the difference between the first uploaded engineering project surveying and mapping data and the predicted surveying and mapping data during the continuous multiple uploads, CB n SaM is the difference between the nth uploaded engineering project surveying and mapping data and the predicted surveying and mapping data during the process of multiple consecutive uploads. n The engineering project surveying and mapping data uploaded for n times; Calculate the difference between the two groups of difference ratios CB1-CB n , and determine whether the difference is within the difference interval (-1,1). When the difference is within the difference interval (-1,1), the re-uploaded engineering project surveying and mapping data and the first-acquired engineering project surveying and mapping data are in the same range; otherwise, they do not belong to the same range.

8. The intelligent management system for surveying and mapping data of engineering projects according to claim 7 is characterized by: The formula to calculate the efficiency value is as follows: Where η is the efficiency value, Ps 真 This is the real progress data.

9. The intelligent management system for surveying and mapping data of engineering projects according to claim 8 is characterized by: When executing the corresponding strategy based on the difference between the efficiency value and the set standard value; If 90% < η < 100%, the strategy implemented is to increase the proportion of engineering staff tasks; Adjusted engineering staff task increase ratio Q x The calculation formula is: Where o is the number of engineering personnel; If η<90%, the strategy implemented is to increase the number of engineering personnel; The calculation formula for increasing the number of engineering personnel is: In the formula, pox z To increase the number of engineering staff, α is the work efficiency coefficient of the new staff compared to the original staff, 0.8<α<0.

98.

10. The intelligent management system for surveying and mapping data of engineering projects according to claim 9, characterized in that: The abnormal solution is that if the model coincidence degree CL is equal to the standard value Bz, no adjustment is required: If the model coincidence degree CL is less than the standard value Bz, it will be marked, and the model and data will be warned of abnormalities, an abnormality report will be generated, and the abnormality report will be sent to the staff.

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