CN116957291B - Intelligent management system and method for engineering management data - Google Patents
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Abstract
The invention relates to the technical field of data management, in particular to an intelligent management system and method for engineering management data, wherein the system comprises an acquisition module for acquiring field image information; the input module is used for inputting first engineering management data; the first processing module is used for processing the field image information; the second processing module is used for correcting abnormal data in the engineering management data; the generation module is used for generating a first three-dimensional model and a second three-dimensional model; the analysis module is used for identifying and extracting engineering component image information, analyzing a comparison result of the engineering component image information and the coverage of the second three-dimensional model and obtaining an analysis result; and the allocation module is used for allocating personnel information, equipment information and material information of engineering management according to the analysis result. The invention realizes the allocation of personnel, equipment and materials in engineering management by processing and analyzing the engineering management data, so that the engineering management is more refined and the engineering management efficiency is improved.
Description
Technical Field
The invention relates to the technical field of data management, in particular to an intelligent management system and method for engineering management data.
Background
Engineering management is the management of the whole life cycle of engineering, including the management of engineering decisions, planning, design, construction, operation and maintenance, etc. The engineering management is a longer-term management process, a large amount of data is generated in the management process, the longer the management time is, the larger the generated data amount is, and the engineering progress is also affected differently due to the restriction of various factors in the engineering management process, so that different engineering management results are caused. In order to ensure management efficiency, the quality and quantity of the management is guaranteed, and the higher the management requirement on engineering management data is, the more and more attention is paid to intelligent management of the data.
At present, the data management of each link in engineering management basically takes the form of manually scrolling through files and adopts a manual recording mode to carry out work, so that a great deal of manpower and time cost are consumed; moreover, because the intelligent degree of the data management of the engineering management data is not high, the decision of engineering management personnel on engineering management is to a large extent realized by combining the engineering management data recorded manually with the past experience; in particular, for large-scale engineering management, the management workload of engineering management data is larger. Therefore, intelligent management of engineering management data is particularly important.
Patent document with publication number CN115330362a discloses an engineering progress data processing method, which includes the following steps: the manager inputs construction progress data through the client, and after the client cleans the construction progress data, the construction progress data is sent to the server; the server receives the construction progress data, classifies the construction progress data and compares the construction progress data according to the classification; when the construction progress data and the initial data in the server end are excessively different in category comparison, the server end sends an early warning signal to the client end, and the client end alerts management personnel according to the early warning signal.
However, in the prior art, only the construction progress data is subjected to data cleaning treatment, and abnormal and error data in the construction progress data are cleaned, so that redundant data in the construction progress data is reduced, and the management of engineering management data is not fine enough, so that the engineering management efficiency is low.
Disclosure of Invention
Therefore, the invention provides an intelligent management system and method for engineering management data, which are used for solving the problem of low engineering management efficiency caused by insufficient refinement of management of engineering management data in the prior art.
In order to achieve the above object, the present invention provides an intelligent management system for engineering management data, the system comprising: the acquisition module is used for acquiring on-site image information in a preset time period; the field image information is first image information and comprises a plurality of images and time information corresponding to each image;
The input module is used for inputting first engineering management data; the first project management data comprises project progress information, personnel information, equipment information and material information corresponding to the time information;
the first processing module is connected with the acquisition module and is used for processing the first image information according to a first processing condition to obtain second image information; the first processing condition is that the pixels of the image of the first image information are more than or equal to standard pixels;
The second processing module is connected with the input module and is used for screening out abnormal data in the first engineering management data according to a second processing condition, calculating a correction value of the abnormal data according to an interpolation method and replacing the corresponding abnormal data with the correction value to obtain second engineering management data;
The generating module is connected with the second processing module and used for generating a first three-dimensional model according to basic information of engineering, inputting the second engineering management data into an engineering component corresponding to the first three-dimensional model and generating a second three-dimensional model;
The analysis module is respectively connected with the first processing module and the generation module and is used for identifying the engineering component in the second image information according to a preset identification model and extracting to obtain engineering component image information, analyzing a comparison result of the engineering component image information and the coverage of the second three-dimensional model and obtaining an analysis result;
And the allocation module is connected with the analysis module and used for calculating allocation amount according to the analysis result and allocating personnel information, equipment information and material information of engineering management according to the allocation amount.
Further, the first processing module comprises a judging unit and a selecting unit, wherein,
The judging unit is used for judging the effective image and the ineffective image according to the first processing condition;
the standard pixels of the image are preset to w0×h0 at the judging unit,
When the image pixel W1 of the first image information is more than or equal to W0 and H1 is more than or equal to H0, the judging unit judges that the image is an effective image;
when the image pixels W1 < W0 or H1 < H0 of the first image information, the judging unit judges that the image is an invalid image;
The selection unit is used for removing the invalid image and retaining the valid image according to the judging result of the judging unit to obtain the second image information.
Further, the second processing unit comprises a screening unit and a first calculating unit, wherein the screening unit is used for screening out abnormal data in the first engineering management data according to the second processing condition; the first engineering management data are recorded as PD1i (time 1i, pr1i, re1i, dev1i, CL1 i), wherein time1i is the first time information of the ith moment of inputting the first engineering management data, pr1i is the first engineering progress information of the ith moment, re1i is the first personnel information of the ith moment, dev1i is the first equipment information of the ith moment, and CL1i is the first material information of the ith moment;
Presetting a first screening condition in the screening unit, wherein the first screening condition is a preset time period delta time epsilon [ standard preset time period delta time0× (1-10%), standard preset time period delta time0× (1+10%) ], and when delta time < delta time0× (1-10%) or delta time > delta time0× (1+10%), the screening unit screens time1i as time anomaly data according to the first screening condition; the screening unit eliminates the first engineering management data corresponding to the time abnormal data;
and presetting a second screening condition in the screening unit, wherein the second screening condition is that the first project progress information Pr1i corresponding to the current first time information is less than the first project progress information Pr1 (i-1) corresponding to the first time information at the last time or the first project progress information Pr1i is more than 100%, and judging that the first project progress information Pr1i is project progress abnormal data according to the second screening condition by the screening unit.
Further, the interpolation calculation model is preset in the first calculation unitWherein time1i is the first time information at the ith moment, time1 (i-1) is the first time information at the (i-1) th moment, time1 (i-2) is the first time information at the (i-2) th moment, pr1 (i-1) is the first engineering progress information at the (i-1) th moment, pr1 (i-2) is the first engineering progress information at the (i-2) th moment, and Pr1i' is the correction value of the first engineering progress abnormality data at the ith moment; replacing the corresponding abnormal data with the correction value to obtain second engineering progress information Pr2i=Pr1i' of the second engineering management data at the i-th moment;
The second project management data PD2i (time 2i, pr2i, re2i, dev2i, CL2 i), wherein time2i is second time information of the second project management data at the i-th moment, when the first time information is normal time information, the second time information time2 i=the first time information time1i, pr2i is second project progress information at the i-th moment, re2i is second personnel information at the i-th moment, dev2i is second equipment information at the i-th moment, and CL2i is second material information at the i-th moment.
Further, the generation module comprises a first generation unit and a second generation unit, wherein the first generation unit is used for generating a first three-dimensional model according to basic information of the engineering; the basic information comprises site topography data of the engineering, engineering design data and equipment data and material data corresponding to the design data;
The first generation unit generates a 3D topographic map of an engineering based on 3D software according to the site topographic data; the first generation unit generates an engineering three-dimensional model based on three-dimensional model software according to the engineering design data and equipment data and material data corresponding to the engineering design data;
The first generation unit merges the 3D topographic map and the three-dimensional model to generate a first three-dimensional model of the project; the first three-dimensional model comprises an underground engineering component and an overground engineering component, and each engineering component corresponds to an actual engineering part and can record engineering progress information, equipment information and material information.
Further, the second generating unit receives second engineering management data sent by the processing module, and inputs the second engineering management data into an engineering component corresponding to the first three-dimensional model to generate a second three-dimensional model.
Further, the analysis module comprises an image recognition unit and a comparison unit, wherein the image recognition unit is used for recognizing engineering components in the second image information; presetting engineering component recognition models in the recognition unit, wherein the recognition models comprise underground engineering component recognition models and overground engineering component recognition models; the identification unit identifies an underground engineering component in the second image information according to the underground engineering component identification model and extracts underground engineering component image information, and identifies an above-ground engineering component in the second image information according to the above-ground engineering component identification model and extracts above-ground engineering component image information;
The analysis unit receives the image information of the underground engineering component and compares the image information with the underground engineering component of the second three-dimensional model to obtain a first coverage F1, a first standard coverage F10 is preset in the comparison unit,
When F1 is more than 0 and less than F10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is lower;
When F10 is less than or equal to F1 and less than 1.5 multiplied by F10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is normal;
When F1 is more than or equal to 1.5 xF 10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is higher;
The analysis unit receives the image information of the underground engineering component and compares the image information with the ground engineering component of the second three-dimensional model to obtain a second coverage F2, a second standard coverage F20 is preset in the comparison unit,
When F2 is more than 0 and less than F20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is lower;
when F20 is less than or equal to F2 and less than 1.5 multiplied by F20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is normal;
When F2 is more than or equal to 1.5 xF 20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is higher.
Further, the analysis module further comprises an analysis unit for analyzing engineering management data according to the comparison result of the comparison unit;
When the comparison result is that the degree of completion of the underground engineering component of the engineering is lower or the degree of completion of the above-ground engineering component of the engineering is lower, the analysis unit sequentially analyzes according to the personnel information, the equipment information and the material information of the second engineering management data, and the analysis unit comprises:
Standard personnel information is preset as Re0 in the analysis unit,
When Re2i is more than 0 and less than Re0, the analysis result of the analysis unit is that personnel are insufficient;
When Re0 is less than or equal to Re2i is less than or equal to 1.5 xRe 0, the analysis result of the analysis unit is that the personnel is normal, wherein the value of 1.5 xRe 0 is an integer;
When Re2i > 1.5X1e0, the analysis result of the analysis unit is human redundancy;
The standard device information is preset to Dev0 at the analysis unit,
When Dev2i is more than 0 and less than Dev0, the analysis result of the analysis unit is insufficient equipment;
When Dev0 is less than or equal to Dev2i is less than or equal to 2 XDev 0, the analysis result of the analysis unit is that the equipment is normal;
when Dev2i > 2 XDev 0, the analysis result of the analysis unit is equipment redundancy;
Standard material information CL0 is preset in the analysis unit,
When CL2i is more than 0 and less than CL0, the analysis result of the analysis unit is insufficient material;
When CL0 is less than or equal to CL2i and less than or equal to 1.2 xCL 0, the analysis result of the analysis unit is that the material is normal;
when CL2i > 1.2×cl0, the analysis result of the analysis unit is material redundancy.
Further, the allocation module comprises a second calculation unit and an allocation unit, wherein the second calculation unit is used for calculating allocation according to the analysis result; the allocation unit is used for allocating personnel information, equipment information and material information of engineering management according to allocation amount;
When the analysis result is that the person is insufficient, the second calculation unit calculates the adjustment amount of the person to be increased to Δre=re 0-Re2i;
when the analysis result is that the personnel are redundant, the second calculation unit calculates the adjustment amount of the reduced personnel to be deltare=re 2i-Re0;
When the analysis result is that the equipment is insufficient, the second calculation unit calculates the adjustment amount of the increasing equipment to be DeltaDev=Dev0-Dev2i;
when the analysis result is that personnel redundancy is achieved, the second calculation unit calculates the allocation amount of the reduction equipment to be DeltaDev=Dev2i-Dev0;
when the analysis result is that the material is insufficient, the second calculation unit calculates the adjustment amount of the added material to be Δcl=cl0-CL 2i;
When the analysis result is human redundancy, the second calculation unit calculates the adjustment amount of the reduced material to Δcl=cl2i—cl0.
On the other hand, the invention also provides an intelligent management method of engineering management data, which comprises the following steps,
S01, acquiring field image information in a preset time period; the field image information is first image information and comprises a plurality of images and time information corresponding to each image;
S02, inputting first engineering management data;
S03, processing the first image information according to a first processing condition to obtain second image information;
S04, screening out abnormal data in the first engineering management data according to a second processing condition, calculating a correction value of the abnormal data according to an interpolation method, and replacing the corresponding abnormal data with the correction value to obtain second engineering management data;
S05, generating a first three-dimensional model according to basic information of engineering and inputting second engineering management data into engineering components corresponding to the first three-dimensional model to generate a second three-dimensional model;
S06, identifying the engineering component in the second image information according to a preset identification model, extracting to obtain engineering component image information, analyzing a comparison result of the coverage of the engineering component image information and the second three-dimensional model, and obtaining an analysis result;
s07, calculating the allocation amount according to the analysis result, and allocating personnel information, equipment information and material information of engineering management according to the allocation amount.
Compared with the prior art, the method has the beneficial effects that the first image information is processed through the first processing module, so that the accuracy of the image information is higher; the second processing module corrects the abnormal data, so that the accuracy of engineering management data is higher; the generation module is used for generating a second three-dimensional model based on second engineering management data, and the latest engineering construction three-dimensional model can be obtained according to real-time data in the engineering management process, so that engineering management is more visual, and engineering management decision is facilitated; the analysis module is used for analyzing the comparison result of the second three-dimensional model and the extracted engineering component image information and obtaining an analysis result, so that the analysis process of engineering management is more scientific; and the allocation module allocates personnel, equipment and materials in engineering management according to the analysis result, so that the engineering management is more refined, and the engineering management efficiency is improved.
In particular, the invalid image is removed according to the size of the image pixels to obtain an effective image, so that the accuracy of the image information is higher.
In particular, the abnormal data of the engineering management data are screened out through the first screening condition and the second screening condition, so that the screening of the abnormal data in the engineering management data is more accurate.
And particularly, calculating a correction value of the first engineering progress abnormal data according to an interpolation method, and replacing the corresponding abnormal data with the correction value to obtain second engineering progress information of the second engineering management data, so that the correction of the abnormal data in the engineering management data is more accurate and reliable.
In particular, the coverage is obtained by comparing the second three-dimensional model with the extracted engineering component image information, and the coverage is compared with the standard coverage, so that the latest engineering progress result is more intuitively obtained by engineering management, and more scientific decision of the engineering management is facilitated.
In particular, the analysis module is used for respectively analyzing personnel information, equipment information and material information in engineering management data, so that analysis results can be obtained more scientifically and accurately, management decisions can be made rapidly by engineering management, and management efficiency is improved.
In particular, the allocation amount is calculated according to the analysis result through the allocation unit, so that the engineering management is more refined and has higher accuracy.
Drawings
FIG. 1 is a diagram of a project management data intelligent management system according to the present invention;
FIG. 2 is a flow chart of the intelligent management method of engineering management data according to the invention;
reference numerals: 1. an acquisition module; 2. an input module; 3. a first processing module; 4. a second processing module; 5. a generating module; 6. an analysis module; 7. a deployment module; 301. a judging unit; 302. a selection unit; 401. a screening unit; 402. a first calculation unit; 501. a first generation unit; 502. a second generation unit; 601. an image recognition unit; 602. a comparison unit; 603. an analysis unit; 701. a second calculation unit; 702. and a blending unit.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
1-2, The intelligent management system and method for engineering management data can be implemented as follows:
an intelligent management system for engineering management data, as shown in fig. 1, the system comprises:
the acquisition module 1 is used for acquiring field image information in a preset time period; the field image information is first image information and comprises a plurality of images and time information corresponding to each image;
The input module 2 is used for inputting first engineering management data; the first project management data comprises project progress information, personnel information, equipment information and material information corresponding to the time information;
The first processing module 3 is connected with the acquisition module and is used for processing the first image information according to the first processing condition to obtain second image information; the first processing condition is that the pixels of the image of the first image information are more than or equal to standard pixels;
the second processing module 4 is connected with the input module and is used for screening out abnormal data in the first engineering management data according to the second processing conditions, calculating a correction value of the abnormal data according to an interpolation method and replacing the corresponding abnormal data with the correction value to obtain second engineering management data;
the generating module 5 is connected with the second processing module and is used for generating a first three-dimensional model according to the basic information of the engineering, inputting second engineering management data into engineering components corresponding to the first three-dimensional model and generating a second three-dimensional model;
The analysis module 6 is respectively connected with the first processing module and the generation module and is used for identifying the engineering component in the second image information according to a preset identification model and extracting to obtain the engineering component image information, analyzing the comparison result of the engineering component image information and the coverage of the second three-dimensional model and obtaining an analysis result;
And the allocation module 7 is connected with the analysis module and used for calculating allocation amount according to the analysis result and allocating personnel information, equipment information and material information of engineering management according to the allocation amount.
The first image information is processed through the first processing module, so that the accuracy of the image information is higher; the second processing module corrects the abnormal data, so that the accuracy of engineering management data is higher; the generation module is used for generating a second three-dimensional model based on second engineering management data, and the latest engineering construction three-dimensional model can be obtained according to real-time data in the engineering management process, so that engineering management is more visual, and engineering management decision is facilitated; the analysis module is used for analyzing the comparison result of the second three-dimensional model and the extracted engineering component image information and obtaining an analysis result, so that the analysis process of engineering management is more scientific; and the allocation module allocates personnel, equipment and materials in engineering management according to the analysis result, so that the engineering management is more refined, and the engineering management efficiency is improved.
Specifically, the first processing module includes a judging unit 301 and a selecting unit 302, where the judging unit is configured to judge the valid image and the invalid image according to the first processing condition;
the standard pixels of the image are preset to w0×h0 at the judging unit,
When the image pixel W1 of the first image information is more than or equal to W0 and H1 is more than or equal to H0, the judging unit judges that the image is an effective image;
when the image pixels W1 < W0 or H1 < H0 of the first image information, the judging unit judges that the image is an invalid image;
And the selection unit is used for removing the invalid image and retaining the valid image according to the judging result of the judging unit to obtain second image information.
Specifically, in this embodiment, the standard pixel w0×h0 of the image is preset to be 600×400, and when the image pixel of the first image information is 200×350, since 200 < 600, 350 < 400, the image of the first image information is an invalid image.
And removing the invalid image according to the size of the image pixels to obtain an effective image, so that the accuracy of the image information is higher.
Specifically, the second processing unit includes a screening unit 401 and a first calculating unit 402, where the screening unit is configured to screen abnormal data in the first engineering management data according to the second processing condition; the first engineering management data are recorded as PD1i (time 1i, pr1i, re1i, dev1i, CL1 i), wherein time1i is the first time information of the ith moment of inputting the first engineering management data, pr1i is the first engineering progress information of the ith moment, re1i is the first personnel information of the ith moment, dev1i is the first equipment information of the ith moment, and CL1i is the first material information of the ith moment;
Presetting a first screening condition in a screening unit, wherein the first screening condition is a preset time period delta time epsilon [ standard preset time period delta time0 x (1-10%), standard preset time period delta time0 x (1+10%) ], delta time = time1i-time1 (i-1), and when delta time < delta time0 x (1-10%) or delta time > delta time0 x (1+10%), screening the time1i as time anomaly data by the screening unit according to the first screening condition; the screening unit eliminates first engineering management data corresponding to the time abnormal data;
And presetting a second screening condition in the screening unit, wherein the second screening condition is that the first project progress information Pr1i corresponding to the current first time information is less than the first project progress information Pr1 (i-1) corresponding to the first time information at the previous time or the first project progress information Pr1i is more than 100%, and judging that the first project progress information Pr1i is project progress abnormal data according to the second screening condition by the screening unit.
In this embodiment, the range of the value of the standard preset time period Δtime0 is 4 hours to 24 hours, and the value of the standard preset time period Δtime0 is 8 hours.
The abnormal data of the engineering management data are screened out through the first screening condition and the second screening condition, so that the screening of the abnormal data in the engineering management data is more accurate.
Specifically, an interpolation calculation model is set in advance in the first calculation unitWherein time1i is the i-th time first time information, time1 (i-1) is the (i-1) -th time first time information, time1 (i-2) is the (i-2) -th time first time information, pr1 (i-1) is the (i-1) -th time first engineering progress information, pr1 (i-2) is the (i-2) -th time first engineering progress information, and Pr1i' is the correction value of the i-th time first engineering progress abnormality data; replacing the corresponding abnormal data with the correction value to obtain second engineering progress information Pr2i=Pr1i' of the second engineering management data at the ith moment;
And second project management data PD2i (time 2i, pr2i, re2i, dev2i, CL2 i), wherein time2i is second time information at the i-th moment of the second project management data, and when the first time information is normal time information, second time information time2 i=first time information time1i, pr2i is second project progress information at the i-th moment, re2i is second personnel information at the i-th moment, dev2i is second equipment information at the i-th moment, and CL2i is second material information at the i-th moment.
And calculating a correction value of the first engineering progress abnormal data according to the interpolation method, and replacing the corresponding abnormal data with the correction value to obtain second engineering progress information of the second engineering management data, so that the correction of the abnormal data in the engineering management data is more accurate and reliable.
Specifically, the generating module includes a first generating unit 501 and a second generating unit 502, where the first generating unit is configured to generate a first three-dimensional model according to basic information of an engineering; the basic information comprises engineering site topography data, engineering design data and equipment data and material data corresponding to the design data;
The first generation unit generates a 3D topographic map of the project based on the 3D software according to the site topographic data; the first generation unit generates a three-dimensional model of the project based on three-dimensional model software according to the engineering design data and the equipment data and the material data corresponding to the design data;
The first generation unit combines the 3D topographic map and the three-dimensional model to generate a first three-dimensional model of the engineering; the first three-dimensional model includes underground engineering components and above-ground engineering components, each of which corresponds to an actual engineering site and is capable of entering engineering progress information, equipment information, and material information.
In this embodiment, the software for generating the 3D topographic map of the project is Smart3D software, and the three-dimensional model software for generating the project is BIM three-dimensional model software.
Specifically, the second generating unit receives the second engineering management data sent by the processing module, and inputs the second engineering management data into the engineering component corresponding to the first three-dimensional model to generate a second three-dimensional model.
The first three-dimensional model of the project is generated based on the design data of the project through software, and the second project management data is input into a project component corresponding to the first three-dimensional model to generate the second three-dimensional model on the basis, so that the project management is more visual.
Specifically, the analysis module includes an image recognition unit 601 and a comparison unit 602, where the image recognition unit is configured to recognize the engineering component in the second image information; the method comprises the steps that an engineering component identification model is preset in an identification unit, wherein the identification model comprises an underground engineering component identification model and an overground engineering component identification model; the identification unit identifies the underground engineering component in the second image information according to the underground engineering component identification model and extracts the underground engineering component image information, and identifies the above-ground engineering component in the second image information according to the above-ground engineering component identification model and extracts the above-ground engineering component image information;
The analysis unit receives the image information of the underground engineering component and compares the image information with the underground engineering component of the second three-dimensional model to obtain a first coverage F1, the comparison unit presets a first standard coverage F10,
When F1 is more than 0 and less than F10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is lower;
when F10 is less than or equal to F1 and less than 1.5 multiplied by F10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is normal;
When F1 is more than or equal to 1.5 xF10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is higher;
the analysis unit receives the image information of the underground engineering component and compares the image information with the ground engineering component of the second three-dimensional model to obtain a second coverage F2, the comparison unit presets a second standard coverage F20,
When F2 is more than 0 and less than F20, the comparison unit judges that the degree of completion of the ground engineering components of the engineering is lower;
when F20 is less than or equal to F2 and less than 1.5 xF20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is normal;
when F2 is more than or equal to 1.5 xF 20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is higher.
Specifically, the value ranges of the first coverage and the second coverage are 0.8-0.95, and the value of the first coverage and the second coverage in this embodiment is 0.9.
And comparing the second three-dimensional model with the extracted engineering component image information to obtain coverage, and comparing the coverage with standard coverage, so that the engineering management can obtain the latest engineering progress result more intuitively, and more scientific decision of the engineering management is facilitated.
Specifically, the analysis module further includes an analysis unit 603, configured to analyze the engineering management data according to the comparison result of the comparison unit;
when the comparison result is that the completion degree of the underground engineering component of the engineering is lower or the completion degree of the above-ground engineering component of the engineering is lower, the analysis unit sequentially analyzes according to the personnel information, the equipment information and the material information of the second engineering management data, and the analysis unit comprises the following steps:
standard personnel information is preset as Re0 in the analysis unit,
When Re2i is more than 0 and less than Re0, the analysis result of the analysis unit is that personnel are insufficient;
When Re0 is less than or equal to Re2i is less than or equal to 1.5 xRe 0, the analysis result of the analysis unit is that the personnel is normal, wherein the value of 1.5 xRe 0 is an integer;
when Re2i > 1.5X1e0, the analysis result of the analysis unit is human redundancy;
standard device information is preset as Dev0 at the analysis unit,
When Dev2i is more than 0 and less than Dev0, the analysis result of the analysis unit is insufficient equipment;
When Dev0 is less than or equal to Dev2i is less than or equal to 2 XDev 0, the analysis result of the analysis unit is that the equipment is normal;
when Dev2i > 2 x Dev0, the analysis result of the analysis unit is equipment redundancy;
standard material information is preset as CL0 in the analysis unit,
When CL2i is more than 0 and less than CL0, the analysis result of the analysis unit is insufficient material;
when CL0 is less than or equal to CL2i and less than or equal to 1.2 xCL 0, the analysis result of the analysis unit is that the material is normal;
when CL2i > 1.2×cl0, the analysis result of the analysis unit is material redundancy.
The analysis module is used for respectively analyzing personnel information, equipment information and material information in engineering management data, so that analysis results can be obtained more scientifically and accurately, management decisions can be made quickly by engineering management, and management efficiency is improved.
Specifically, the allocation module includes a second calculation unit 701 and an allocation unit 702, where the second calculation unit is configured to calculate an allocation amount according to an analysis result; the allocation unit is used for allocating personnel information, equipment information and material information of engineering management according to allocation amount;
When the analysis result is that the person is insufficient, the second calculation unit calculates the adjustment amount of the person to be increased to Δre=re 0-Re2i;
When the analysis result is that the personnel are redundant, the second calculation unit calculates the adjustment amount of the reduced personnel to be deltare=re 2i-Re0;
when the analysis result is that the equipment is insufficient, the second calculation unit calculates the adjustment amount of the added equipment to be DeltaDev=Dev0-Dev2i;
when the analysis result is that personnel redundancy is achieved, the second calculation unit calculates the allocation amount of the reduction equipment to be DeltaDev=Dev2i-Dev0;
when the analysis result is that the material is insufficient, the second calculation unit calculates the adjustment amount of the added material to be Δcl=cl0-CL 2i;
when the analysis result is the human redundancy, the second calculation unit calculates the adjustment amount of the reduced material to Δcl=cl2i—cl0.
Specifically, the standard personnel information in engineering management is planned in advance by a specific workload in engineering, the standard equipment information is determined by a specific use equipment in engineering, and the standard material information is obtained by engineering design data statistics.
And the allocation amount is calculated by the allocation unit according to the analysis result, so that the engineering management is more refined and has higher accuracy.
As shown in fig. 2, an intelligent management method for engineering management data includes,
S01, acquiring field image information in a preset time period; the field image information is first image information and comprises a plurality of images and time information corresponding to each image;
S02, inputting first engineering management data;
s03, processing the first image information according to the first processing condition to obtain second image information;
S04, screening out abnormal data in the first engineering management data according to a second processing condition, calculating a correction value of the abnormal data according to an interpolation method, and replacing the corresponding abnormal data with the correction value to obtain second engineering management data;
S05, generating a first three-dimensional model according to basic information of the project and inputting second project management data into a project component corresponding to the first three-dimensional model to generate a second three-dimensional model;
s06, identifying the engineering component in the second image information according to the preset identification model, extracting to obtain the engineering component image information, analyzing the comparison result of the engineering component image information and the coverage of the second three-dimensional model, and obtaining an analysis result;
s07, calculating the allocation amount according to the analysis result, and allocating personnel information, equipment information and material information of engineering management according to the allocation amount.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent management system for engineering management data, comprising:
The acquisition module is used for acquiring on-site image information in a preset time period; the field image information is first image information and comprises a plurality of images and time information corresponding to each image;
The input module is used for inputting first engineering management data; the first project management data comprises project progress information, personnel information, equipment information and material information corresponding to the time information;
the first processing module is connected with the acquisition module and is used for processing the first image information according to a first processing condition to obtain second image information; the first processing condition is that the pixels of the image of the first image information are more than or equal to standard pixels;
The second processing module is connected with the input module and is used for screening out abnormal data in the first engineering management data according to a second processing condition, calculating a correction value of the abnormal data according to an interpolation method and replacing the corresponding abnormal data with the correction value to obtain second engineering management data;
The generating module is connected with the second processing module and used for generating a first three-dimensional model according to basic information of engineering, inputting the second engineering management data into an engineering component corresponding to the first three-dimensional model and generating a second three-dimensional model;
The analysis module is respectively connected with the first processing module and the generation module and is used for identifying the engineering component in the second image information according to a preset identification model and extracting to obtain engineering component image information, analyzing a comparison result of the engineering component image information and the coverage of the second three-dimensional model and obtaining an analysis result;
And the allocation module is connected with the analysis module and used for calculating allocation amount according to the analysis result and allocating personnel information, equipment information and material information of engineering management according to the allocation amount.
2. The intelligent engineering management system according to claim 1, wherein the first processing module comprises a judging unit and a selecting unit, wherein,
The judging unit is used for judging the effective image and the ineffective image according to the first processing condition;
the standard pixels of the image are preset to w0×h0 at the judging unit,
When the image pixel W1 of the first image information is more than or equal to W0 and H1 is more than or equal to H0, the judging unit judges that the image is an effective image;
when the image pixels W1 < W0 or H1 < H0 of the first image information, the judging unit judges that the image is an invalid image;
The selection unit is used for removing the invalid image and retaining the valid image according to the judging result of the judging unit to obtain the second image information.
3. The intelligent engineering management system according to claim 2, wherein the second processing unit includes a screening unit and a first calculating unit, wherein the screening unit is configured to screen out abnormal data in the first engineering management data according to the second processing condition; the first engineering management data are recorded as PD1 i (time 1 i, pr1 i, re1 i, dev1 i, CL1 i), wherein time1 i is the first time information of the ith moment of inputting the first engineering management data, pr1 i is the first engineering progress information of the ith moment, re1 i is the first personnel information of the ith moment, dev1 i is the first equipment information of the ith moment, and CL1 i is the first material information of the ith moment;
Presetting a first screening condition in the screening unit, wherein the first screening condition is a preset time period delta time epsilon [ standard preset time period delta time0× (1-10%), standard preset time period delta time0× (1+10%) ], delta time = time1 i-time1 (i-1), and when delta time < delta time0× (1-10%) or delta time > delta time0× (1+10%), screening the time1 i as time anomaly data according to the first screening condition, wherein time1 i is the first time information at the ith moment, and time1 (i-1) is the first time information at the (i-1) th moment; the screening unit eliminates the first engineering management data corresponding to the time abnormal data;
Presetting a second screening condition in the screening unit, wherein the second screening condition is that first engineering progress information Pr1 i corresponding to the current first time information is less than first engineering progress information Pr1 (i-1) corresponding to the first time information at the last moment or the first engineering progress information Pr1 i is more than 100%, and judging that the first engineering progress information Pr1 i is engineering progress abnormal data according to the second screening condition, wherein Pr1 (i-1) is first engineering progress information at the (i-1) th moment.
4. The intelligent engineering management system according to claim 3, wherein an interpolation calculation model is set in advance in the first calculation unit
Wherein time1 i is the first time information at the ith moment, time1 (i-1) is the first time information at the (i-1) th moment, time1 (i-2) is the first time information at the (i-2) th moment, pr1 (i-1) is the first engineering progress information at the (i-1) th moment, pr1 (i-2) is the first engineering progress information at the (i-2) th moment, and Pr1 i' is the correction value of the first engineering progress abnormal data at the ith moment; replacing the corresponding abnormal data with the correction value to obtain second engineering progress information Pr2i=Pr1i' of the second engineering management data at the i-th moment;
The second project management data PD 2i (time 2i, pr2i, re2i, dev 2i, CL2 i), wherein time2i is second time information of the second project management data at the i-th moment, when the first time information is normal time information, the second time information time2 i=the first time information time1 i, pr2i is second project progress information at the i-th moment, re2i is second personnel information at the i-th moment, dev 2i is second equipment information at the i-th moment, and CL2i is second material information at the i-th moment.
5. The intelligent engineering management system according to claim 4, wherein the generating module comprises a first generating unit and a second generating unit, wherein,
The first generation unit is used for generating a first three-dimensional model according to the basic information of the engineering; the basic information comprises site topography data of the engineering, engineering design data and equipment data and material data corresponding to the design data;
The first generation unit generates a 3D topographic map of an engineering based on 3D software according to the site topographic data; the first generation unit generates an engineering three-dimensional model based on three-dimensional model software according to the engineering design data and equipment data and material data corresponding to the engineering design data;
The first generation unit merges the 3D topographic map and the three-dimensional model to generate a first three-dimensional model of the project; the first three-dimensional model comprises an underground engineering component and an overground engineering component, and each engineering component corresponds to an actual engineering part and can record engineering progress information, equipment information and material information.
6. The intelligent management system of engineering management data according to claim 5, wherein the second generating unit receives the second engineering management data sent by the processing module, and inputs the second engineering management data into an engineering component corresponding to the first three-dimensional model to generate a second three-dimensional model.
7. The project management data intelligent management system according to claim 6, wherein the analysis module includes an image recognition unit and a comparison unit, wherein the image recognition unit is configured to recognize a project component in the second image information; presetting engineering component recognition models in the recognition unit, wherein the recognition models comprise underground engineering component recognition models and overground engineering component recognition models; the identification unit identifies an underground engineering component in the second image information according to the underground engineering component identification model and extracts underground engineering component image information, and identifies an above-ground engineering component in the second image information according to the above-ground engineering component identification model and extracts above-ground engineering component image information;
the analysis unit receives the image information of the underground engineering component and compares the image information with the underground engineering component of the second three-dimensional model to obtain a first coverage F1, the comparison unit presets a first standard coverage F10,
When F1 is more than 0 and less than F10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is lower;
When F10 is less than or equal to F1 and less than 1.5 multiplied by F10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is normal;
When F1 is more than or equal to 1.5 xF 10, the comparison unit judges that the completion degree of the underground engineering component of the engineering is higher;
The analysis unit receives the image information of the underground engineering component and compares the image information with the ground engineering component of the second three-dimensional model to obtain a second coverage F2, a second standard coverage F20 is preset in the comparison unit,
When F2 is more than 0 and less than F20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is lower;
when F20 is less than or equal to F2 and less than 1.5 multiplied by F20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is normal;
When F2 is more than or equal to 1.5 xF 20, the comparison unit judges that the completion degree of the ground engineering components of the engineering is higher.
8. The intelligent engineering management system according to claim 7, wherein the analysis module further comprises an analysis unit for analyzing engineering management data according to the comparison result of the comparison unit;
When the comparison result is that the degree of completion of the underground engineering component of the engineering is lower or the degree of completion of the above-ground engineering component of the engineering is lower, the analysis unit sequentially analyzes according to the personnel information, the equipment information and the material information of the second engineering management data, and the analysis unit comprises:
Standard personnel information is preset as Re0 in the analysis unit,
When Re2i is more than 0 and less than Re0, the analysis result of the analysis unit is that personnel are insufficient;
when Re0 is less than or equal to Re2 i is less than or equal to 1.5 xRe 0, the analysis result of the analysis unit is that the personnel is normal, wherein the value of 1.5 xRe 0 is an integer;
when Re2 i > 1.5X1e0, the analysis result of the analysis unit is human redundancy;
The standard device information is preset to Dev0 at the analysis unit,
When Dev2i is more than 0 and less than Dev0, the analysis result of the analysis unit is insufficient equipment;
When Dev0 is less than or equal to Dev2i is less than or equal to 2 XDev 0, the analysis result of the analysis unit is that the equipment is normal;
when Dev2 i > 2 XDev 0, the analysis result of the analysis unit is equipment redundancy;
Standard material information CL0 is preset in the analysis unit,
When CL2i is more than 0 and less than CL0, the analysis result of the analysis unit is insufficient material;
When CL0 is less than or equal to CL 2i and less than or equal to 1.2 xCL 0, the analysis result of the analysis unit is that the material is normal;
when CL2 i > 1.2×cl0, the analysis result of the analysis unit is material redundancy.
9. The intelligent engineering management data management system according to claim 8, wherein the allocation module comprises a second calculation unit and an allocation unit, wherein the second calculation unit is used for calculating an allocation amount according to the analysis result; the allocation unit is used for allocating personnel information, equipment information and material information of engineering management according to allocation amount;
when the analysis result is that the person is insufficient, the second calculation unit calculates the adjustment amount of the person to be increased to Δre=re 0-Re 2i;
when the analysis result is that the personnel are redundant, the second calculation unit calculates the adjustment amount of the reduced personnel to be deltare=re 2i-Re0;
When the analysis result is that the equipment is insufficient, the second calculation unit calculates the adjustment amount of the increasing equipment to be DeltaDev=Dev0-Dev2i;
When the analysis result is that personnel redundancy is achieved, the second calculation unit calculates the allocation amount of the reduction equipment to be DeltaDev=Dev2i-Dev0;
when the analysis result is that the material is insufficient, the second calculation unit calculates the adjustment amount of the added material to be Δcl=cl0-CL 2i;
When the analysis result is human redundancy, the second calculation unit calculates the adjustment amount of the reduced material to Δcl=cl2i—cl0.
10. An intelligent management method for engineering management data is characterized by comprising the following steps,
S01, acquiring field image information in a preset time period; the field image information is first image information and comprises a plurality of images and time information corresponding to each image;
S02, inputting first engineering management data;
S03, processing the first image information according to a first processing condition to obtain second image information;
S04, screening out abnormal data in the first engineering management data according to a second processing condition, calculating a correction value of the abnormal data according to an interpolation method, and replacing the corresponding abnormal data with the correction value to obtain second engineering management data;
S05, generating a first three-dimensional model according to basic information of engineering and inputting second engineering management data into engineering components corresponding to the first three-dimensional model to generate a second three-dimensional model;
S06, identifying the engineering component in the second image information according to a preset identification model, extracting to obtain engineering component image information, analyzing a comparison result of the coverage of the engineering component image information and the second three-dimensional model, and obtaining an analysis result;
s07, calculating the allocation amount according to the analysis result, and allocating personnel information, equipment information and material information of engineering management according to the allocation amount.
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