CN117053868A - Detection and evaluation method and system for assembled partition wall system - Google Patents
Detection and evaluation method and system for assembled partition wall system Download PDFInfo
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- E—FIXED CONSTRUCTIONS
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Abstract
The application discloses a detection and evaluation method and a detection and evaluation system for an assembled partition wall system, and relates to the field of artificial intelligence, wherein the method comprises the following steps: determining construction requirement data of the assembled partition wall; constructing a complexity evaluation value, wherein the complexity evaluation value is a construction speed standard comparison value generated by carrying out complexity calculation on the construction requirement data; generating an adaptation detection result, performing execution evaluation according to the construction time length and the complexity evaluation value, and generating an execution detection result; setting a sound insulation test scheme; executing the sound insulation test of the assembled partition wall after construction according to the sound insulation test scheme, and generating a sound insulation test result; and generating a detection evaluation radar chart and a comprehensive evaluation value, wherein the detection evaluation radar chart and the comprehensive evaluation value are generated by integrating the adaptation detection result, the execution detection result and the sound insulation test result. The technical problems of low comprehensive degree and poor accuracy of detection and evaluation of the assembled partition wall in the prior art are solved.
Description
Technical Field
The application relates to the field of artificial intelligence, in particular to a detection and evaluation method and system of an assembled partition wall system.
Background
The assembled partition wall is widely applied to the building industry in the advantages of light weight, easy molding, neat size, good sound insulation performance and the like. The detection and evaluation are important means for guaranteeing the normal use of the assembled partition wall. In the prior art, the technical problems of low comprehensive degree and poor accuracy of detection and evaluation of the assembled partition wall exist.
Disclosure of Invention
The application provides a detection and evaluation method and a detection and evaluation system for an assembled partition wall system. The technical problems of low comprehensive degree and poor accuracy of detection and evaluation of the assembled partition wall in the prior art are solved. The technical effects of improving the detection evaluation comprehensiveness and the accuracy of the assembled partition wall and improving the detection evaluation quality of the assembled partition wall by carrying out multidimensional detection evaluation on the assembled partition wall are achieved.
In view of the above, the present application provides a method and a system for detecting and evaluating an assembled partition wall system.
In a first aspect, the present application provides a method for detecting and evaluating an assembled partition wall system, wherein the method is applied to a detecting and evaluating system of an assembled partition wall system, and the method comprises: determining construction requirement data of the assembled partition wall, wherein the construction requirement data comprises user requirement data and site requirement data, the user requirement data is obtained through user input, and the site requirement data is obtained through collecting site information; constructing a complexity evaluation value, wherein the complexity evaluation value is a construction speed standard comparison value generated by carrying out complexity calculation on the construction requirement data; generating an adaptation detection result, wherein the adaptation detection result is obtained through size set calculation, and the size set is a size data set acquired by a sensor when the assembled partition wall is assembled; recording construction time, performing execution evaluation according to the construction time and the complexity evaluation value, and generating an execution detection result; setting a sound insulation test scheme, wherein the sound insulation test scheme is a test scheme of multiple scenes and test points set according to construction requirement data; executing the sound insulation test of the assembled partition wall after construction according to the sound insulation test scheme, and generating a sound insulation test result; and generating a detection evaluation radar chart and a comprehensive evaluation value, wherein the detection evaluation radar chart and the comprehensive evaluation value are generated by integrating the adaptation detection result, the execution detection result and the sound insulation test result.
Preferably, the method further comprises:
constructing a sound detection resource library, wherein the sound detection resource library comprises a calibration test scheme and a test calibration result, and the sound detection resource library is constructed by collecting big data;
constructing a test constraint, and setting a sound insulation test scheme according to the test constraint, wherein the test constraint comprises a detection precision constraint and a space feature constraint, and the space feature constraint is constructed by extracting space features of a site which is constructed.
Preferably, the method further comprises:
analyzing the construction requirement data to generate pipeline requirements of a target wall;
collecting pipeline fixing structure data of the fabricated partition wall, and carrying out fixing evaluation according to the pipeline fixing structure data and the pipeline requirements to generate a fixing balance evaluation result, wherein the fixing balance evaluation result comprises a balance evaluation value of fixing cost and fixing effect;
generating a pipeline detection result through the fixed balance evaluation result;
and adding the pipeline detection result to the detection evaluation radar chart and the comprehensive evaluation value.
Preferably, the method further comprises:
determining a calibrated pipeline distance evaluation value and pipeline position constraint according to the pipeline demand;
performing pipeline arrangement evaluation of the fabricated partition wall through the pipeline distance evaluation value and the pipeline position constraint to generate a pipeline arrangement evaluation value;
and updating the pipeline arrangement evaluation value to the pipeline detection result.
Preferably, the method further comprises:
an application area of the wall body is constructed, wherein the application area is an application area constructed according to the penetrating application frequency of the wall body, and the application area is provided with an application value mark;
performing trigger area evaluation on the pipeline trend of the fabricated partition wall by using the application area, and generating an area trigger evaluation value according to an evaluation result;
updating the area trigger evaluation value to the pipeline detection result.
Preferably, the method further comprises:
setting a detection node of flatness, performing flatness detection on the assembled partition wall through the detection node, and determining an abnormal node, wherein the abnormal node is provided with an abnormal value and an abnormal area mark;
performing leveling evaluation on the assembled partition wall through the abnormal nodes to generate a leveling detection result;
and updating the leveling detection result to the detection evaluation radar chart and the comprehensive evaluation value.
Preferably, the method further comprises:
generating feedback parameters according to the detection evaluation radar graph and the comprehensive evaluation value, wherein the feedback parameters are parameters obtained by scheme optimization based on the detection evaluation radar graph and the comprehensive evaluation value;
and establishing the mapping between the feedback parameters and the construction requirement data, updating the mapping result to a construction database, and managing the follow-up construction scheme through the construction database.
In a second aspect, the present application also provides a detection and assessment system for an assembled partition wall system, wherein the system comprises: the construction requirement data acquisition module is used for determining construction requirement data of the assembled partition wall, the construction requirement data comprise user requirement data and site requirement data, the user requirement data are obtained through user input, and the site requirement data are obtained through acquisition of site information; the evaluation value construction module is used for constructing a complexity evaluation value which is a construction speed standard comparison value generated by carrying out complexity calculation on the construction requirement data; the adaptation detection result generation module is used for generating an adaptation detection result, the adaptation detection result is obtained through size set calculation, and the size set is a size data set acquired by a sensor when the assembled partition wall is assembled; the execution evaluation module is used for recording construction time, performing execution evaluation according to the construction time and the complexity evaluation value and generating an execution detection result; the scheme setting module is used for setting a sound insulation test scheme, wherein the sound insulation test scheme is a test scheme of multiple scenes and test points set according to construction requirement data; the sound insulation testing module is used for executing sound insulation testing of the assembled partition wall after construction according to the sound insulation testing scheme and generating sound insulation testing results; and the result integration module is used for generating a detection evaluation radar chart and a comprehensive evaluation value, wherein the detection evaluation radar chart and the comprehensive evaluation value are generated by integrating the adaptation detection result, the execution detection result and the sound insulation test result.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
complexity calculation is carried out on construction requirement data of the assembled partition wall, and a complexity evaluation value is generated; calculating a size set acquired by a sensor when the assembled partition wall is assembled, and generating an adaptation detection result; performing execution evaluation according to the construction time length and the complexity evaluation value to generate an execution detection result; executing the sound insulation test of the assembled partition wall after construction according to the sound insulation test scheme, and generating a sound insulation test result; and generating a detection evaluation radar chart and a comprehensive evaluation value by adjusting the proper matching detection result, the execution detection result and the sound insulation test result. The technical effects of improving the detection evaluation comprehensiveness and the accuracy of the assembled partition wall and improving the detection evaluation quality of the assembled partition wall by carrying out multidimensional detection evaluation on the assembled partition wall are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present application, the following description will briefly explain the drawings of the embodiments of the present application. It is apparent that the figures in the following description relate only to some embodiments of the application and are not limiting of the application.
FIG. 1 is a flow chart of a method for detecting and evaluating an assembled partition system according to the present application;
FIG. 2 is a schematic flow chart of a method for detecting and evaluating an assembled partition wall system according to the present application, wherein a sound insulation test scheme is set;
fig. 3 is a schematic structural diagram of a detection and evaluation system of an assembled partition system according to the present application.
Detailed Description
The application provides a detection and evaluation method and a detection and evaluation system for an assembled partition wall system. The technical problems of low comprehensive degree and poor accuracy of detection and evaluation of the assembled partition wall in the prior art are solved. The technical effects of improving the detection evaluation comprehensiveness and the accuracy of the assembled partition wall and improving the detection evaluation quality of the assembled partition wall by carrying out multidimensional detection evaluation on the assembled partition wall are achieved.
Example 1
Referring to fig. 1, the present application provides a method for detecting and evaluating an assembled partition wall system, wherein the method is applied to a detecting and evaluating system of an assembled partition wall system, and the method specifically comprises the following steps:
determining construction requirement data of the assembled partition wall, wherein the construction requirement data comprises user requirement data and site requirement data, the user requirement data is obtained through user input, and the site requirement data is obtained through collecting site information;
constructing a complexity evaluation value, wherein the complexity evaluation value is a construction speed standard comparison value generated by carrying out complexity calculation on the construction requirement data;
the user inputs the demand data of the assembled partition wall into the detection and evaluation system of the assembled partition wall system, and the user demand data is generated. And acquiring site information to obtain site demand data, and determining construction demand data by combining the user demand data. And then, calculating the complexity of the construction requirement data to obtain a complexity evaluation value. The construction requirement data comprises user requirement data and site requirement data. The user demand data includes a user's demand for sound insulation, fire protection, water resistance, construction time limit, etc. of the assembled partition wall. The site demand data comprise construction site area, construction position, construction site structure parameters and the like corresponding to the fabricated partition wall. The complexity evaluation value comprises a construction speed standard comparison value corresponding to the construction requirement data. And the construction speed standard comparison value is the standard construction speed corresponding to the construction requirement data.
Illustratively, when complexity calculation is performed on construction requirement data, historical data query is performed according to the construction requirement data, and a complexity calculation library is obtained. And inputting the construction requirement data into a complexity calculation library, and matching the construction speed standard comparison value of the construction requirement data through the complexity calculation library to obtain a complexity evaluation value. The complexity computation library includes a plurality of sets of complexity computation data. Each group of complexity calculation data comprises historical construction requirement data and a historical construction speed standard comparison value corresponding to the historical construction requirement data.
Generating an adaptation detection result, wherein the adaptation detection result is obtained through size set calculation, and the size set is a size data set acquired by a sensor when the assembled partition wall is assembled;
recording construction time, performing execution evaluation according to the construction time and the complexity evaluation value, and generating an execution detection result;
when the assembled partition wall is assembled, a size data set is acquired through a sensor, and a size set is obtained. And obtaining an adaptation detection result by carrying out adaptation detection on the size set. And recording the construction time of the assembled partition wall, and performing evaluation on the construction time and the complexity evaluation value to generate an execution detection result. Therefore, the detection evaluation comprehensiveness of the assembled partition wall is improved. Wherein the size set comprises a size data set. The dimension data set comprises the assembly position, the wall perpendicularity, the joint height difference and the like corresponding to the assembled partition wall. The sensor comprises a position sensor, a perpendicularity sensor, a seam height difference detector and the like in the prior art. The adaptation detection result comprises a size adaptation detection factor. The size fit detection coefficient is data information for characterizing the assembly accuracy of the assembled partition wall corresponding to the size set. The higher the assembly accuracy of the assembled partition wall corresponding to the size set is, the higher the corresponding size adaptation detection coefficient is. The construction time length is the total construction time length corresponding to the fabricated partition wall. The execution detection result comprises a construction execution standard coefficient corresponding to the construction time length and the complexity evaluation value. The closer the actual construction speed corresponding to the construction time length is to the standard construction speed in the complexity evaluation value, the higher the corresponding construction execution standard coefficient is.
Illustratively, when the adaptation detection is performed on the size set, historical data query is performed according to the size set, so as to obtain a plurality of adaptation detection data. Each adaptation detection data comprises a set of historical sizes and a historical size adaptation detection coefficient. And (3) continuously self-training and learning the plurality of adaptation detection data to a convergence state to obtain the adaptation detection network. The adaptation detection network comprises an input layer, an implicit layer and an output layer. Inputting the size set into an adaptation detection network, and matching the size set with a size adaptation detection coefficient through the adaptation detection network to obtain an adaptation detection result.
Setting a sound insulation test scheme, wherein the sound insulation test scheme is a test scheme of multiple scenes and test points set according to construction requirement data;
wherein, as shown in fig. 2, a sound insulation test scheme is provided, which further comprises:
constructing a sound detection resource library, wherein the sound detection resource library comprises a calibration test scheme and a test calibration result, and the sound detection resource library is constructed by collecting big data;
constructing a test constraint, and setting a sound insulation test scheme according to the test constraint, wherein the test constraint comprises a detection precision constraint and a space feature constraint, and the space feature constraint is constructed by extracting space features of a site which is constructed.
Executing the sound insulation test of the assembled partition wall after construction according to the sound insulation test scheme, and generating a sound insulation test result;
and constructing a sound detection resource library through big data acquisition. The sound detection resource library comprises a plurality of calibration test schemes and a plurality of test calibration results. Each calibration test scheme comprises a history test point, a history detection sound type, a history detection sound frequency, a history detection sound decibel value and the like corresponding to the history space feature constraint. Each test calibration result includes a historical sound insulation test coefficient for each calibration test scheme. Then, a test constraint is set. The test constraints include detection accuracy constraints and spatial feature constraints. The detection precision constraint comprises a detection precision value corresponding to the construction requirement data. The more construction requirements of the construction requirement data, the more complex the construction requirements, and the higher the corresponding detection precision values. The spatial feature constraints include site spatial features of the construction completion. The site space features comprise site space structure information corresponding to the constructed fabricated partition wall. And then, extracting a sound insulation test scheme from the sound detection resource library based on the test constraint, and performing a sound insulation test on the constructed assembled partition wall according to the sound insulation test scheme to obtain a sound insulation test result. The higher the detection accuracy constraint, the greater the number of extracted soundproof test schemes. The higher the spatial feature constraint, the greater the number of test points within the acoustic test scheme. The sound insulation test result comprises a sound insulation test coefficient corresponding to the assembled partition wall after construction is completed. The higher the sound insulation test coefficient is, the better the sound insulation effect of the corresponding assembled partition wall after construction is completed.
And generating a detection evaluation radar chart and a comprehensive evaluation value, wherein the detection evaluation radar chart and the comprehensive evaluation value are generated by integrating the adaptation detection result, the execution detection result and the sound insulation test result.
Analyzing the construction requirement data to generate pipeline requirements of a target wall;
collecting pipeline fixing structure data of the fabricated partition wall, and carrying out fixing evaluation according to the pipeline fixing structure data and the pipeline requirements to generate a fixing balance evaluation result, wherein the fixing balance evaluation result comprises a balance evaluation value of fixing cost and fixing effect;
and extracting the pipeline requirement of the target wall body from the construction requirement data. The target wall is the assembled partition wall. The pipeline requirements comprise preset pipeline arrangement parameters such as preset pipeline quantity, preset pipeline fixing positions, preset pipeline arrangement modes and the like which are preset and determined by a user, and preset pipeline fixing costs corresponding to the preset pipeline arrangement parameters. And then, collecting pipeline parameters of the constructed assembled partition wall to obtain pipeline fixing structure data. The pipeline fixing structure data comprise actual pipeline arrangement parameters such as the number of actual pipelines, the actual pipeline fixing positions, the actual pipeline arrangement modes and the like corresponding to the constructed assembled partition wall, and the actual pipeline fixing cost corresponding to the actual pipeline arrangement parameters.
Further, a fixed effect evaluation coefficient is obtained by carrying out consistency evaluation on the preset pipeline arrangement parameters and the actual pipeline arrangement parameters. And obtaining a fixed cost evaluation coefficient by carrying out consistency evaluation on the preset pipeline fixed cost and the actual pipeline fixed cost. And then, outputting the average value of the fixed effect evaluation coefficient and the fixed cost evaluation coefficient as a fixed balance evaluation result. The fixed balance evaluation result can be used for representing balance evaluation values of fixed cost and fixed effect. The fixed effect evaluation coefficient is data information for representing the consistency of the actual pipeline arrangement parameter and the preset pipeline arrangement parameter. The higher the consistency of the actual pipeline arrangement parameters and the preset pipeline arrangement parameters is, the larger the corresponding fixed effect evaluation coefficient is. The fixed cost evaluation coefficient is data information for characterizing the consistency of the preset pipeline fixed cost and the actual pipeline fixed cost. The stronger the consistency of the preset pipeline fixing cost and the actual pipeline fixing cost is, the higher the corresponding fixing cost evaluation coefficient is.
Generating a pipeline detection result through the fixed balance evaluation result;
determining a calibrated pipeline distance evaluation value and pipeline position constraint according to the pipeline demand;
performing pipeline arrangement evaluation of the fabricated partition wall through the pipeline distance evaluation value and the pipeline position constraint to generate a pipeline arrangement evaluation value;
and updating the pipeline arrangement evaluation value to the pipeline detection result.
The predetermined pipeline fixing position within the pipeline demand is noted as a pipeline position constraint. And setting a plurality of calibration pipeline distance evaluation values according to a plurality of preset pipeline arrangement distances in a preset pipeline arrangement mode. And carrying out pipeline arrangement evaluation on the actual pipeline arrangement parameters according to the plurality of calibrated pipeline distance evaluation values and the pipeline position constraint to generate a pipeline arrangement evaluation value, and adding a fixed balance evaluation result and the pipeline arrangement evaluation value to a pipeline detection result. Therefore, the detection and evaluation multidimensional of the assembled partition wall is improved, and the detection and evaluation quality of the assembled partition wall is improved. The pipeline arrangement evaluation value is data information for representing the pipeline arrangement accuracy of the fabricated partition wall. For example, when performing pipeline arrangement evaluation on an actual pipeline arrangement parameter according to a plurality of calibration pipeline distance evaluation values and pipeline position constraints, the pipeline position evaluation values are set based on the pipeline position constraints, and a plurality of preset pipeline arrangement distances, a plurality of calibration pipeline distance evaluation values, and the pipeline position constraints, pipeline position evaluation values are added into the pipeline arrangement evaluation table. And collecting the pipeline arrangement distance of the assembled partition wall after construction is completed, and obtaining a plurality of actual pipeline arrangement distances. Inputting the actual pipeline arrangement distances and the actual pipeline fixing positions into a pipeline arrangement evaluation table to obtain a plurality of matching pipeline distance evaluation values corresponding to the actual pipeline arrangement distances and matching pipeline position evaluation values corresponding to the actual pipeline fixing positions. And recording the average value of the plurality of matched pipeline distance evaluation values and matched pipeline position evaluation values as pipeline arrangement evaluation values.
An application area of the wall body is constructed, wherein the application area is an application area constructed according to the penetrating application frequency of the wall body, and the application area is provided with an application value mark;
performing trigger area evaluation on the pipeline trend of the fabricated partition wall by using the application area, and generating an area trigger evaluation value according to an evaluation result;
updating the area trigger evaluation value to the pipeline detection result.
And (3) carrying out application interval identification on the assembled partition wall after construction is completed, and generating an application area. The application area is the application area corresponding to the assembled partition wall after construction is completed. The application zone includes a plurality of pass-through application locations. And, each penetration application location has a corresponding application value identification. The application value identification includes a corresponding pass-through application frequency for each pass-through application location. And then, carrying out trigger area evaluation on the pipeline trend of the constructed fabricated partition wall according to the application area, and obtaining an evaluation result. The evaluation result includes a trigger area evaluation coefficient. The trigger area evaluation coefficient is data information for representing the coincidence of the pipeline trend of the fabricated partition wall with the application area after construction is completed. The higher the coincidence of the pipeline trend of the fabricated partition wall with the application area is, the larger the corresponding trigger area evaluation coefficient is. Then, by performing regional trigger threat assessment on the assessment results, regional trigger assessment values are generated, and the regional trigger assessment values are added to the pipeline detection results. The regional trigger evaluation value is data information for representing regional trigger threat of the evaluation result. The higher the evaluation result is, the stronger the coincidence of the pipeline trend of the corresponding constructed fabricated partition wall and the application area is, and the larger the corresponding area triggering evaluation value is. The pipeline detection results comprise a fixed balance evaluation result, a pipeline arrangement evaluation value and a region trigger evaluation value.
And adding the pipeline detection result to the detection evaluation radar chart and the comprehensive evaluation value.
Setting a detection node of flatness, performing flatness detection on the assembled partition wall through the detection node, and determining an abnormal node, wherein the abnormal node is provided with an abnormal value and an abnormal area mark;
performing leveling evaluation on the assembled partition wall through the abnormal nodes to generate a leveling detection result;
and updating the leveling detection result to the detection evaluation radar chart and the comprehensive evaluation value.
And carrying out leveling detection on the assembled partition wall after construction through the detection node to obtain an abnormal node, and carrying out leveling evaluation on the assembled partition wall through the abnormal node to generate a leveling detection result. Wherein the inspection node includes a plurality of areas of the fabricated partition wall where the construction is completed. The abnormal nodes are leveling detection abnormal areas corresponding to the constructed assembled partition wall. And the abnormal node is provided with an abnormal value and an abnormal region identifier. The outlier is data information for characterizing the degree of abnormality of the flatness detection abnormal area. The higher the degree of abnormality of the flatness detection abnormal area, the larger the corresponding abnormal value. The flatness detection result is the reciprocal of the average value of a plurality of abnormal values of a plurality of flatness detection abnormal areas corresponding to a plurality of abnormal nodes. Illustratively, when an abnormal node is obtained, the flatness of the detection node of the fabricated partition wall after construction is detected by a flatness detector in the prior art, so as to obtain the detection flatness corresponding to the detection node. Judging whether the detected flatness is greater than/equal to a preset flatness preset and determined by a detection and evaluation system of the assembled partition wall system. If the detected flatness is smaller than the preset flatness, the area in the detection node corresponding to the detected flatness is recorded as a flatness detection abnormal area. And recording the difference between the preset flatness and the detected flatness as the detected flatness difference. And (5) marking the ratio of the detected flatness difference to the preset flatness as an abnormal value.
Further, a detection evaluation radar chart is constructed based on the adaptation detection result, the execution detection result, the sound insulation test result, the leveling detection result, and the pipeline detection result. And carrying out weighted calculation on the adaptation detection result, the execution detection result, the sound insulation test result, the leveling detection result and the pipeline detection result through preset weight constraint to obtain a comprehensive evaluation value. Therefore, the multi-dimensional detection and evaluation of the assembled partition wall are realized, the accuracy of the detection and evaluation of the assembled partition wall is improved, and the quality of the detection and evaluation of the assembled partition wall is improved. The preset weight constraint comprises an adaptive detection result weight value, an execution detection result weight value, a sound insulation test result weight value, a leveling detection result weight value and a pipeline detection result weight value which are preset and determined by a detection evaluation system of the assembled partition wall system.
For example, when constructing the detection evaluation radar chart, 3 concentric circles are drawn first, the circles are divided into 5 areas, each area is 72 degrees, and the 5 areas represent the adaptation detection result, the execution detection result, the sound insulation test result, the leveling detection result and the pipeline detection result respectively. And drawing detection evaluation lines corresponding to the adaptation detection result, the execution detection result, the sound insulation test result, the leveling detection result and the pipeline detection result respectively in a radial form in 5 areas by taking the circle center as a starting point. The detection evaluation radar chart comprises an adaptation detection result, an execution detection result, a sound insulation test result, a leveling detection result and a pipeline detection result.
Generating feedback parameters according to the detection evaluation radar graph and the comprehensive evaluation value, wherein the feedback parameters are parameters obtained by scheme optimization based on the detection evaluation radar graph and the comprehensive evaluation value;
and establishing the mapping between the feedback parameters and the construction requirement data, updating the mapping result to a construction database, and managing the follow-up construction scheme through the construction database.
And carrying out scheme optimization on the detection evaluation radar chart and the comprehensive evaluation value to obtain feedback parameters, and mapping the feedback parameters with construction requirement data to obtain a mapping result. And then, adding the mapping result to a construction database, and carrying out subsequent construction scheme management through the construction database, thereby improving the construction management effect of the assembled partition wall. The feedback parameters comprise the detection and evaluation radar chart and the optimization parameters of the assembled partition wall corresponding to the comprehensive evaluation value. The mapping result comprises feedback parameters and construction requirement data corresponding to the feedback parameters. For example, when the sound insulation test result in the detection evaluation radar chart does not satisfy the standard sound insulation test result set in advance by the detection evaluation system of the one type of the assembly type partition wall system, the corresponding feedback parameters include the optimized sound insulation material of the assembly type partition wall, and the like.
In summary, the detection and evaluation method of the assembled partition wall system provided by the application has the following technical effects:
complexity calculation is carried out on construction requirement data of the assembled partition wall, and a complexity evaluation value is generated; calculating a size set acquired by a sensor when the assembled partition wall is assembled, and generating an adaptation detection result; performing execution evaluation according to the construction time length and the complexity evaluation value to generate an execution detection result; executing the sound insulation test of the assembled partition wall after construction according to the sound insulation test scheme, and generating a sound insulation test result; and generating a detection evaluation radar chart and a comprehensive evaluation value by adjusting the proper matching detection result, the execution detection result and the sound insulation test result. The technical effects of improving the detection evaluation comprehensiveness and the accuracy of the assembled partition wall and improving the detection evaluation quality of the assembled partition wall by carrying out multidimensional detection evaluation on the assembled partition wall are achieved.
Example two
Based on the detection and evaluation method of the assembled partition wall system in the foregoing embodiment, the present application also provides a detection and evaluation system of the assembled partition wall system, please refer to fig. 3, the system includes:
the construction requirement data acquisition module is used for determining construction requirement data of the assembled partition wall, the construction requirement data comprise user requirement data and site requirement data, the user requirement data are obtained through user input, and the site requirement data are obtained through acquisition of site information;
the evaluation value construction module is used for constructing a complexity evaluation value which is a construction speed standard comparison value generated by carrying out complexity calculation on the construction requirement data;
the adaptation detection result generation module is used for generating an adaptation detection result, the adaptation detection result is obtained through size set calculation, and the size set is a size data set acquired by a sensor when the assembled partition wall is assembled;
the execution evaluation module is used for recording construction time, performing execution evaluation according to the construction time and the complexity evaluation value and generating an execution detection result;
the scheme setting module is used for setting a sound insulation test scheme, wherein the sound insulation test scheme is a test scheme of multiple scenes and test points set according to construction requirement data;
the sound insulation testing module is used for executing sound insulation testing of the assembled partition wall after construction according to the sound insulation testing scheme and generating sound insulation testing results;
and the result integration module is used for generating a detection evaluation radar chart and a comprehensive evaluation value, wherein the detection evaluation radar chart and the comprehensive evaluation value are generated by integrating the adaptation detection result, the execution detection result and the sound insulation test result.
Further, the system further comprises:
the sound detection resource library comprises a calibration test scheme and a test calibration result, and is constructed by collecting big data;
the test constraint construction module is used for constructing test constraints and setting a sound insulation test scheme according to the test constraints, wherein the test constraints comprise detection precision constraints and space feature constraints, and the space feature constraints are constructed by extracting site space features completed by construction.
Further, the system further comprises:
the pipeline demand generation module is used for analyzing the construction demand data and generating the pipeline demand of the target wall body;
the pipeline fixing evaluation module is used for collecting pipeline fixing structure data of the assembled partition wall, carrying out fixing evaluation according to the pipeline fixing structure data and the pipeline requirements, and generating a fixing balance evaluation result, wherein the fixing balance evaluation result comprises a balance evaluation value of fixing cost and fixing effect;
the first execution module is used for generating pipeline detection results through the fixed balance evaluation results;
and the second execution module is used for adding the pipeline detection result to the detection evaluation radar chart and the comprehensive evaluation value.
Further, the system further comprises:
the third execution module is used for determining a calibrated pipeline distance evaluation value and pipeline position constraint according to the pipeline demand;
the pipeline arrangement evaluation module is used for carrying out pipeline arrangement evaluation of the fabricated partition wall through the pipeline distance evaluation value and the pipeline position constraint to generate a pipeline arrangement evaluation value;
and the fourth execution module is used for updating the pipeline arrangement evaluation value to the pipeline detection result.
Further, the system further comprises:
the application area construction module is used for constructing an application area of the wall body, the application area is an application interval constructed according to the penetrating application frequency of the wall body, and the application area is provided with an application value mark;
the trigger area evaluation module is used for performing trigger area evaluation on the pipeline trend of the fabricated partition wall by the application area and generating an area trigger evaluation value according to an evaluation result;
and the fifth execution module is used for updating the area trigger evaluation value to the pipeline detection result.
Further, the system further comprises:
the abnormal node determining module is used for setting a detection node of flatness, performing flatness detection on the assembled partition wall through the detection node, and determining an abnormal node, wherein the abnormal node is provided with an abnormal value and an abnormal area identifier;
the leveling evaluation module is used for performing leveling evaluation on the assembled partition wall through the abnormal node to generate a leveling detection result;
and the sixth execution module is used for updating the leveling detection result to the detection evaluation radar chart and the comprehensive evaluation value.
Further, the system further comprises:
the feedback module is used for generating feedback parameters according to the detection evaluation radar chart and the comprehensive evaluation value, wherein the feedback parameters are parameters obtained by scheme optimization based on the detection evaluation radar chart and the comprehensive evaluation value;
and the mapping module is used for establishing the mapping between the feedback parameters and the construction requirement data, updating the mapping result to a construction database, and managing the follow-up construction scheme through the construction database.
The detection and evaluation system of the assembled partition wall system provided by the embodiment of the application can execute the detection and evaluation method of the assembled partition wall system provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
All the included modules are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application.
The application provides a detection and evaluation method of an assembled partition wall system, wherein the method is applied to the detection and evaluation system of the assembled partition wall system, and comprises the following steps: complexity calculation is carried out on construction requirement data of the assembled partition wall, and a complexity evaluation value is generated; calculating a size set acquired by a sensor when the assembled partition wall is assembled, and generating an adaptation detection result; performing execution evaluation according to the construction time length and the complexity evaluation value to generate an execution detection result; executing the sound insulation test of the assembled partition wall after construction according to the sound insulation test scheme, and generating a sound insulation test result; and generating a detection evaluation radar chart and a comprehensive evaluation value by adjusting the proper matching detection result, the execution detection result and the sound insulation test result. The technical problems of low comprehensive degree and poor accuracy of detection and evaluation of the assembled partition wall in the prior art are solved. The technical effects of improving the detection evaluation comprehensiveness and the accuracy of the assembled partition wall and improving the detection evaluation quality of the assembled partition wall by carrying out multidimensional detection evaluation on the assembled partition wall are achieved.
Although the application has been described in more detail by means of the above embodiments, the application is not limited to the above embodiments, but may comprise many other equivalent embodiments without departing from the inventive concept, the scope of which is determined by the scope of the appended claims.
Claims (8)
1. A method of detecting and evaluating an assembled partition system, the method comprising:
determining construction requirement data of the assembled partition wall, wherein the construction requirement data comprises user requirement data and site requirement data, the user requirement data is obtained through user input, and the site requirement data is obtained through collecting site information;
constructing a complexity evaluation value, wherein the complexity evaluation value is a construction speed standard comparison value generated by carrying out complexity calculation on the construction requirement data;
generating an adaptation detection result, wherein the adaptation detection result is obtained through size set calculation, and the size set is a size data set acquired by a sensor when the assembled partition wall is assembled;
recording construction time, performing execution evaluation according to the construction time and the complexity evaluation value, and generating an execution detection result;
setting a sound insulation test scheme, wherein the sound insulation test scheme is a test scheme of multiple scenes and test points set according to construction requirement data;
executing the sound insulation test of the assembled partition wall after construction according to the sound insulation test scheme, and generating a sound insulation test result;
and generating a detection evaluation radar chart and a comprehensive evaluation value, wherein the detection evaluation radar chart and the comprehensive evaluation value are generated by integrating the adaptation detection result, the execution detection result and the sound insulation test result.
2. The method of claim 1, wherein the method further comprises:
constructing a sound detection resource library, wherein the sound detection resource library comprises a calibration test scheme and a test calibration result, and the sound detection resource library is constructed by collecting big data;
constructing a test constraint, and setting a sound insulation test scheme according to the test constraint, wherein the test constraint comprises a detection precision constraint and a space feature constraint, and the space feature constraint is constructed by extracting space features of a site which is constructed.
3. The method of claim 1, wherein the method further comprises:
analyzing the construction requirement data to generate pipeline requirements of a target wall;
collecting pipeline fixing structure data of the fabricated partition wall, and carrying out fixing evaluation according to the pipeline fixing structure data and the pipeline requirements to generate a fixing balance evaluation result, wherein the fixing balance evaluation result comprises a balance evaluation value of fixing cost and fixing effect;
generating a pipeline detection result through the fixed balance evaluation result;
and adding the pipeline detection result to the detection evaluation radar chart and the comprehensive evaluation value.
4. A method as claimed in claim 3, wherein the method further comprises:
determining a calibrated pipeline distance evaluation value and pipeline position constraint according to the pipeline demand;
performing pipeline arrangement evaluation of the fabricated partition wall through the pipeline distance evaluation value and the pipeline position constraint to generate a pipeline arrangement evaluation value;
and updating the pipeline arrangement evaluation value to the pipeline detection result.
5. The method of claim 4, wherein the method further comprises:
an application area of the wall body is constructed, wherein the application area is an application area constructed according to the penetrating application frequency of the wall body, and the application area is provided with an application value mark;
performing trigger area evaluation on the pipeline trend of the fabricated partition wall by using the application area, and generating an area trigger evaluation value according to an evaluation result;
updating the area trigger evaluation value to the pipeline detection result.
6. The method of claim 1, wherein the method further comprises:
setting a detection node of flatness, performing flatness detection on the assembled partition wall through the detection node, and determining an abnormal node, wherein the abnormal node is provided with an abnormal value and an abnormal area mark;
performing leveling evaluation on the assembled partition wall through the abnormal nodes to generate a leveling detection result;
and updating the leveling detection result to the detection evaluation radar chart and the comprehensive evaluation value.
7. The method of claim 1, wherein the method further comprises:
generating feedback parameters according to the detection evaluation radar graph and the comprehensive evaluation value, wherein the feedback parameters are parameters obtained by scheme optimization based on the detection evaluation radar graph and the comprehensive evaluation value;
and establishing the mapping between the feedback parameters and the construction requirement data, updating the mapping result to a construction database, and managing the follow-up construction scheme through the construction database.
8. A detection and assessment system for a fabricated partition wall system, wherein the system is adapted to perform the method of any one of claims 1 to 7, the system comprising:
the construction requirement data acquisition module is used for determining construction requirement data of the assembled partition wall, the construction requirement data comprise user requirement data and site requirement data, the user requirement data are obtained through user input, and the site requirement data are obtained through acquisition of site information;
the evaluation value construction module is used for constructing a complexity evaluation value which is a construction speed standard comparison value generated by carrying out complexity calculation on the construction requirement data;
the adaptation detection result generation module is used for generating an adaptation detection result, the adaptation detection result is obtained through size set calculation, and the size set is a size data set acquired by a sensor when the assembled partition wall is assembled;
the execution evaluation module is used for recording construction time, performing execution evaluation according to the construction time and the complexity evaluation value and generating an execution detection result;
the scheme setting module is used for setting a sound insulation test scheme, wherein the sound insulation test scheme is a test scheme of multiple scenes and test points set according to construction requirement data;
the sound insulation testing module is used for executing sound insulation testing of the assembled partition wall after construction according to the sound insulation testing scheme and generating sound insulation testing results;
and the result integration module is used for generating a detection evaluation radar chart and a comprehensive evaluation value, wherein the detection evaluation radar chart and the comprehensive evaluation value are generated by integrating the adaptation detection result, the execution detection result and the sound insulation test result.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021190004A1 (en) * | 2020-03-25 | 2021-09-30 | 中铁一局集团第二工程有限公司 | Personnel positioning system and risk assessment method in foundation pit construction |
| CN114187536A (en) * | 2021-12-13 | 2022-03-15 | 苏州方兴信息技术有限公司 | Method and device for determining construction progress, electronic equipment and readable medium |
| CN114912178A (en) * | 2022-05-19 | 2022-08-16 | 广州市创博机电设备安装有限公司 | Heating ventilation air conditioning equipment installation method and system based on BIM |
| CN115187143A (en) * | 2022-09-07 | 2022-10-14 | 南方电网数字电网研究院有限公司 | Engineering project management method and system |
| CN115204690A (en) * | 2022-07-19 | 2022-10-18 | 中国电信股份有限公司 | Target work order processing method and device |
| CN115314637A (en) * | 2022-08-08 | 2022-11-08 | 福建汇川物联网技术科技股份有限公司 | Processing system and processing method for construction site panoramic image and electronic equipment |
| CN115358034A (en) * | 2022-08-31 | 2022-11-18 | 扬州工业职业技术学院 | Intelligent arrangement method and system based on BIM (building information modeling) comprehensive optimization design |
| CN115601000A (en) * | 2022-10-13 | 2023-01-13 | 中宬建设管理有限公司（Cn） | BIM5D model engineering cost method and system in complex environment |
| CN116152218A (en) * | 2023-02-27 | 2023-05-23 | 清华大学 | Intelligent detection method and device for construction quality |
| CN116399952A (en) * | 2023-06-08 | 2023-07-07 | 深圳东原电子有限公司 | Intelligent evaluation method and system for sound insulation and shock absorption performance of acoustic material |
-
2023
- 2023-08-15 CN CN202311023518.2A patent/CN117053868B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021190004A1 (en) * | 2020-03-25 | 2021-09-30 | 中铁一局集团第二工程有限公司 | Personnel positioning system and risk assessment method in foundation pit construction |
| CN114187536A (en) * | 2021-12-13 | 2022-03-15 | 苏州方兴信息技术有限公司 | Method and device for determining construction progress, electronic equipment and readable medium |
| CN114912178A (en) * | 2022-05-19 | 2022-08-16 | 广州市创博机电设备安装有限公司 | Heating ventilation air conditioning equipment installation method and system based on BIM |
| CN115204690A (en) * | 2022-07-19 | 2022-10-18 | 中国电信股份有限公司 | Target work order processing method and device |
| CN115314637A (en) * | 2022-08-08 | 2022-11-08 | 福建汇川物联网技术科技股份有限公司 | Processing system and processing method for construction site panoramic image and electronic equipment |
| CN115358034A (en) * | 2022-08-31 | 2022-11-18 | 扬州工业职业技术学院 | Intelligent arrangement method and system based on BIM (building information modeling) comprehensive optimization design |
| CN115187143A (en) * | 2022-09-07 | 2022-10-14 | 南方电网数字电网研究院有限公司 | Engineering project management method and system |
| CN115601000A (en) * | 2022-10-13 | 2023-01-13 | 中宬建设管理有限公司（Cn） | BIM5D model engineering cost method and system in complex environment |
| CN116152218A (en) * | 2023-02-27 | 2023-05-23 | 清华大学 | Intelligent detection method and device for construction quality |
| CN116399952A (en) * | 2023-06-08 | 2023-07-07 | 深圳东原电子有限公司 | Intelligent evaluation method and system for sound insulation and shock absorption performance of acoustic material |
Non-Patent Citations (3)
| Title |
|---|
| 刘波;姜一天;张郑贤;金婷;姜新佩;: "基于结构方程模糊评估模型的水利工程项目施工阶段风险研究", 水资源与水工程学报, no. 01 * |
| 焦秀珍;: "系统效能评估中仿真指标数据异常值检测方法研究", 中国电子科学研究院学报, no. 02 * |
| 阎西康;张永明;梁琛;庞玉松;魏兴磊;陶建伟;: "基于AHP法改进的场地平整施工机械方案自主式评价研究", 筑路机械与施工机械化, no. 11 * |
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