CN116384837B - Information processing method, system and inspector terminal for engineering quality inspection - Google Patents
Information processing method, system and inspector terminal for engineering quality inspection Download PDFInfo
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Abstract
The invention provides an information processing method, an information processing system and an inspector terminal for engineering quality detection, which comprise the following steps: the construction data of the engineering site is collected, the construction data are analyzed to obtain the current construction progress, the current construction standard quality matched with the current construction progress is obtained, the current construction actual quality of the engineering site is determined according to the construction data, the current construction actual quality is compared with the current construction standard quality to obtain analysis results, the engineering quality problems and the occurrence probability corresponding to each engineering quality problem in the engineering site are predicted according to the analysis results, a quality detection report is established and transmitted to a display terminal for display based on the engineering quality problems and the occurrence probability, corresponding engineering quality problem detection basis can be extracted from information for engineering quality detection from large to small based on the occurrence probability, and supervision or professional staff can observe visually and preferentially.
Description
Technical Field
The invention relates to the technical field of engineering information processing, in particular to an information processing method, an information processing system and an inspector terminal for engineering quality detection.
Background
The construction site is a place where constructors engage in production activities, in the process of working on the construction site, the construction progress is required to be maintained, meanwhile, the requirement of engineering quality is required to be met, supervision or professional personnel are required to conduct regular engineering quality inspection on the construction site so as to ensure the construction quality, the requirements on supervision and professional literacy of the professional personnel are extremely high, and in the process of quality inspection, multiple measurement and calculation are required, a large amount of time is required to be consumed, and the construction progress is delayed.
The application number is: 202110536866.4 discloses an information processing method, an information processing system and a detection terminal for engineering quality detection, which comprise the following steps: the method comprises the steps that an intermediate server receives requirement information which is sent by an engineering project to be detected and requests for engineering quality detection, wherein the requirement information comprises a detection project and a detection place; the intermediate server distributes the detection tasks according to the requirement information of the project to be detected and sends the detection tasks to a detection unit; the detection unit receives the detection task, and is provided with detection equipment according to the requirements of the detection project, and the detection equipment reaches the detection site of the project to be detected according to the requirement information; carrying out engineering quality detection on an engineering project to be detected to obtain detection data, and processing the detection data to generate a detection report; comparing and analyzing the detection data with the standard data to obtain and display a comparison result; and feeding back the task state to the intermediate server in the process that the detection unit completes the detection task.
However, in the prior art, the detection requirement information is received by means of the intermediate server, then the detection task is distributed to specific detection personnel, and the detection personnel arrive at a designated place to carry out detection, so that the engineering detection mode still stays on the manual detection.
Accordingly, the present invention provides an information processing method, system and inspector terminal for engineering quality inspection.
Disclosure of Invention
The information processing method, the system and the inspector terminal for engineering quality detection can predict the occurrence probability of various engineering quality problems on an engineering site, extract the corresponding engineering quality problem detection basis from the information for engineering quality detection based on the occurrence probability from large to small, and are convenient for supervision or professional personnel to visually and preferentially check.
The invention provides an information processing method for engineering quality detection, which comprises the following steps:
step 1: collecting construction data of an engineering site;
step 2: analyzing the construction data to obtain a current construction progress, and obtaining current construction standard quality matched with the current construction progress;
step 3: determining the current construction actual quality of the engineering site according to the construction data, and comparing and analyzing the current construction actual quality with the current construction standard quality to obtain an analysis result;
step 4: predicting engineering quality problems and occurrence probability corresponding to each engineering quality problem on an engineering site according to the analysis result;
step 5: and based on the engineering quality problem and the occurrence probability, establishing a quality detection report and transmitting the quality detection report to a display terminal for display.
In one embodiment of the present invention, in one possible implementation,
the step 1 comprises the following steps:
step 11: acquiring real-time data acquired by each data acquisition source of the engineering site;
step 12: and summarizing the real-time data to generate construction data.
In one embodiment of the present invention, in one possible implementation,
the step 2 includes:
step 21: analyzing the construction data to obtain a plurality of real-time data, establishing a data matrix, and carrying out cluster analysis on matrix elements in the data matrix to obtain a plurality of data classes;
step 22: respectively acquiring class characteristics of each data class, and constructing the current construction progress of the engineering site based on the class characteristics;
step 23: acquiring preset construction task information of the engineering site, and selecting a corresponding engineering scheme from the preset construction task information according to the current construction progress;
step 24: and obtaining the construction purpose of the engineering scheme, and obtaining the current construction standard quality of the engineering site.
In one embodiment of the present invention, in one possible implementation,
the step 3 includes:
step 31: acquiring historical construction data and historical construction standard quality, and establishing a construction model;
step 32: inputting the construction data into the construction model for data fusion to obtain fusion weight of the construction data and the construction model, and obtaining current actual construction quality of the engineering site by combining construction model quality of the construction model with the fusion weight;
step 33: comparing the current construction quality with the construction standard quality to obtain quality same points and quality different points, and obtaining the difference corresponding to each quality different point;
step 34: marking the same quality point and different quality points and the corresponding difference quantity of each different quality point on the current construction quality, and establishing an analysis result.
In one embodiment of the present invention, in one possible implementation,
the step 4 includes:
step 41: analyzing the analysis result to obtain the correlation degree between different quality outliers, and combining the difference quantity corresponding to the different quality outliers to obtain the quality anomaly characteristic of the engineering field;
step 42: inputting the quality abnormal characteristics into a preset database, traversing each preset problem characteristic in the preset database by using the quality abnormal characteristics, and obtaining the similarity between the quality abnormal characteristics and each preset problem characteristic;
step 43: and obtaining engineering quality problems corresponding to each preset problem feature, and obtaining the occurrence probability corresponding to each engineering quality problem of the engineering site by combining the similarity between the quality abnormal features and each quality problem feature.
In one embodiment of the present invention, in one possible implementation,
the step 21 includes:
step 211: analyzing the construction data to obtain a plurality of real-time data, and sequentially sequencing the real-time data according to the initial position of each real-time data in the construction data to obtain a data sequence;
step 212: selecting a corresponding matrix sample according to the length of the data sequence, sequentially inputting real-time data in the data sequence into the matrix sample as matrix elements, and filling the matrix sample with a preset element sample to obtain a data matrix when all matrix elements are input and the matrix sample contains blank elements;
step 213: selecting a corresponding clustering algorithm according to the matrix specification of the data matrix, and obtaining similar elements corresponding to each matrix element in the data matrix by using the clustering algorithm to obtain a plurality of element similar sets;
step 214: and carrying out secondary clustering on the element similar sets to obtain overlapping set areas among different element similar sets, and establishing data classes according to the overlapping set areas.
In one embodiment of the present invention, in one possible implementation,
before filling the matrix sample with a preset element sample, the method comprises the following steps:
obtaining a matrix sample filled with matrix elements to be marked as a first matrix, and marking the matrix elements on the first matrix as first elements;
marking a plurality of submatrices on the first matrix by taking each first element as a central element and taking a nine square lattice as a specification, and marking the submatrices as second matrix elements;
the matrix elements at the edge of the first matrix are complemented with missing matrix elements by using a preset identity matrix;
performing exclusive OR logic operation on each second matrix and a preset identity matrix respectively to obtain an operation result;
marking a second matrix with an operation result of 0 as a same second matrix, counting the first number of the same second matrix, marking a second matrix with an operation result of 1 as a different second matrix, and counting the second number of the different second matrix;
calculating a quantitative ratio between the first quantity and the second quantity;
and when the number ratio is out of the range of the preset number ratio, determining that the filling rate of the first matrix is low, determining that the construction data is lost, generating an emergency report, and transmitting the emergency report to a display terminal for display.
The invention provides an inspector terminal for engineering quality inspection, which comprises:
the acquisition module is used for acquiring construction data of an engineering site;
the analysis module is used for analyzing the construction data to obtain the current construction progress and obtaining the current construction standard quality matched with the current construction progress;
the analysis module is used for determining the current construction actual quality of the engineering site according to the construction data, comparing and analyzing the current construction actual quality with the current construction standard quality to obtain an analysis result;
the prediction module is used for predicting engineering quality problems existing in engineering sites and occurrence probability corresponding to each engineering quality problem according to the analysis results;
and the execution module is used for establishing a quality detection report based on the engineering quality problem and the occurrence probability and transmitting the quality detection report to a display terminal for display.
In one embodiment of the present invention, in one possible implementation,
the parsing module comprises:
the first analysis unit is used for analyzing the construction data to obtain a plurality of real-time data, establishing a data matrix, and carrying out cluster analysis on matrix elements in the data matrix to obtain a plurality of data classes;
the second analysis unit is used for respectively acquiring class characteristics of each data class and constructing the current construction progress of the engineering site based on the class characteristics;
the third analysis unit is used for acquiring preset construction task information of the engineering site, and selecting a corresponding engineering scheme from the preset construction task information according to the current construction progress;
and the fourth analysis unit is used for obtaining the construction purpose of the engineering scheme and obtaining the current construction standard quality of the engineering site.
The invention provides an information processing system for engineering quality detection, which comprises:
the information processing system includes: the system comprises an inspector terminal, a management terminal and a display terminal;
the management terminal is used for inputting preset construction task information of the engineering site and updating the preset database;
and the display terminal is used for displaying the quality detection report.
The invention has the beneficial effects that: the construction data of the engineering site is collected to obtain the current construction progress of the engineering site, the current construction standard quality is extracted from the engineering scheme matched with the construction progress, the current construction actual quality is established by using the construction data for comparison analysis, the current construction actual quality is compared with the conceptual construction standard quality of the construction actual quality, the engineering quality problems existing in the engineering site are predicted, meanwhile, the occurrence probability corresponding to each engineering quality problem is predicted, and finally, a quality detection report is established, so that information for engineering quality detection can be pre-marked, data which possibly reflect the engineering quality problems can be marked, and relevant detection professionals can visually and preferentially see the engineering quality problems conveniently.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic workflow diagram of an information processing method for engineering quality inspection according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an inspector terminal for engineering quality inspection according to an embodiment of the invention;
FIG. 3 is a schematic diagram of an information processing system for engineering quality inspection according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1
The present embodiment provides an information processing method for engineering quality detection, as shown in fig. 1, including:
step 1: collecting construction data of an engineering site;
step 2: analyzing the construction data to obtain a current construction progress, and obtaining current construction standard quality matched with the current construction progress;
step 3: determining the current construction actual quality of the engineering site according to the construction data, and comparing and analyzing the current construction actual quality with the current construction standard quality to obtain an analysis result;
step 4: predicting engineering quality problems and occurrence probability corresponding to each engineering quality problem on an engineering site according to the analysis result;
step 5: and based on the engineering quality problem and the occurrence probability, establishing a quality detection report and transmitting the quality detection report to a display terminal for display.
In this example, the construction data includes: engineering appearance data, personnel work data and construction material data;
in this example, the current construction progress represents the completion progress of the construction project constructed at the project site;
in the example, the engineering scheme represents the construction direction reference of personnel when construction is performed, and the corresponding engineering schemes are different under different construction progress;
in this example, the current construction standard quality represents a standard for predicting the construction quality corresponding to the current construction progress before the construction is performed;
in this example, the current actual quality of construction means the quality of the product being built at the current construction progress in the course of performing the construction.
The working principle of the technical scheme has the beneficial effects that: the construction data of the engineering site is collected to obtain the current construction progress of the engineering site, the current construction standard quality is extracted from the engineering scheme matched with the construction progress, the current construction actual quality is established by using the construction data for comparison analysis, the current construction actual quality is compared with the conceptual construction standard quality of the construction actual quality, the engineering quality problems existing in the engineering site are predicted, meanwhile, the occurrence probability corresponding to each engineering quality problem is predicted, and finally, a quality detection report is established, so that information for engineering quality detection can be pre-marked, data which possibly reflect the engineering quality problems can be marked, and relevant detection professionals can visually and preferentially see the engineering quality problems conveniently.
Example 2
On the basis of embodiment 1, the information processing method for engineering quality detection, the step 1 includes:
step 11: acquiring real-time data acquired by each data acquisition source of the engineering site;
step 12: and summarizing the real-time data to generate construction data.
The working principle of the technical scheme has the beneficial effects that: the real-time data of the engineering site are collected, and then the real-time data are summarized to generate construction data, so that a foundation is formed for subsequent construction quality inspection.
Example 3
On the basis of embodiment 1, the information processing method for engineering quality detection, the step 2, includes:
step 21: analyzing the construction data to obtain a plurality of real-time data, establishing a data matrix, and carrying out cluster analysis on matrix elements in the data matrix to obtain a plurality of data classes;
step 22: respectively acquiring class characteristics of each data class, and constructing the current construction progress of the engineering site based on the class characteristics;
step 23: acquiring preset construction task information of the engineering site, and selecting a corresponding engineering scheme from the preset construction task information according to the current construction progress;
step 24: and obtaining the construction purpose of the engineering scheme, and obtaining the current construction standard quality of the engineering site.
In this example, the data matrix represents a matrix established with real-time data as matrix elements;
in the example, cluster analysis represents a process of classifying matrix elements with consistent element attributes in a data matrix into one class;
in this example, the preset construction task information represents information about the structure of the construction work, the construction requirement, which is input by the management terminal before the construction is started;
in this example, the preset construction task information is composed of a plurality of engineering schemes;
in this example, the construction purpose represents the characteristics of the building being built after the project plan is completed.
The working principle of the technical scheme has the beneficial effects that: in order to realize data classification, construction data are firstly divided into real-time data to establish a data matrix, matrix elements are subjected to clustering analysis by utilizing the principle of matrix reversibility to obtain a plurality of data classes, so that the class characteristics of each data class can be utilized to establish the current construction progress, and meanwhile, the current construction standard quality of an engineering site is established according to an engineering scheme matched with the current construction progress in preset construction task information, so that the basis is provided for subsequent quality analysis.
Example 4
On the basis of embodiment 1, the information processing method for engineering quality detection, the step 3, includes:
step 31: acquiring historical construction data and historical construction standard quality, and establishing a construction model;
step 32: inputting the construction data into the construction model for data fusion to obtain fusion weight of the construction data and the construction model, and obtaining current actual construction quality of the engineering site by combining construction model quality of the construction model with the fusion weight;
step 33: comparing the current construction quality with the construction standard quality to obtain quality same points and quality different points, and obtaining the difference corresponding to each quality different point;
step 34: marking the same quality point and different quality points and the corresponding difference quantity of each different quality point on the current construction quality, and establishing an analysis result.
In this example, the historical construction data is consistent with the attributes of the construction data;
in this example, the historic construction standard quality indicates a construction standard quality of a construction product of which construction has been completed at a corresponding time instant in a historic time;
in this example, the construction model represents a construction product model built in virtual space according to the historic construction standard quality;
in the example, the data fusion represents the process of adaptively training the construction data and the construction model, namely, adding the construction data into the construction model;
in this example, the fusion weight represents a weight established by a correction amount of the construction data when fusing the construction data with the construction model;
in this example, the quality identical point represents the identical point between the current construction quality and the construction standard quality;
in this example, the quality outlier represents a difference point between the current construction quality and the construction standard quality;
in this example, the difference amount represents a difference between the current construction quality and the construction standard quality at one quality outlier.
The working principle of the technical scheme has the beneficial effects that: in order to further perform quality analysis, a construction model is built according to historical construction data and historical construction standard quality, then the construction data is input into the construction model for data fusion, fusion weight of the construction data and the construction model is obtained in the fusion process, then the current construction actual quality of an engineering site is generated by utilizing the fusion weight and the construction model quality, finally the current construction actual quality and the construction standard quality are compared to obtain the same point and different point of the current construction actual quality and the construction standard quality, and difference amounts corresponding to the different points are obtained, so that an analysis result is built, current construction detection is completed, and the quality problem of engineering can be observed more intuitively by marking the same point and different point of the quality on the current construction quality, and detection efficiency is improved.
Example 5
On the basis of embodiment 1, the information processing method for engineering quality detection, the step 4, includes:
step 41: analyzing the analysis result to obtain the correlation degree between different quality outliers, and combining the difference quantity corresponding to the different quality outliers to obtain the quality anomaly characteristic of the engineering field;
step 42: inputting the quality abnormal characteristics into a preset database, traversing each preset problem characteristic in the preset database by using the quality abnormal characteristics, and obtaining the similarity between the quality abnormal characteristics and each preset problem characteristic;
step 43: and obtaining engineering quality problems corresponding to each preset problem feature, and obtaining the occurrence probability corresponding to each engineering quality problem of the engineering site by combining the similarity between the quality abnormal features and each quality problem feature.
In this example, the degree of correlation represents the degree of influence on the construction product under the combined action of different mass and different points;
in this example, the quality anomaly characteristic represents a characteristic of an anomaly occurring on a building product;
in this example, the preset database includes a plurality of preset problem features;
in this example, the quality detection report includes the engineering quality problems and the occurrence probability corresponding to each engineering problem, and the engineering quality problems are ranked according to the order of the occurrence probability from high to low.
The working principle of the technical scheme has the beneficial effects that: the method comprises the steps of obtaining the correlation degree between different quality outliers through analysis reports, establishing quality anomaly characteristics of an engineering site by combining the difference amounts of the different quality outliers, comparing the quality anomaly characteristics with different preset problem characteristics to obtain the similarity between the quality anomaly characteristics and the different preset problem characteristics, and establishing the occurrence probability of each engineering quality problem of the engineering site by combining the engineering quality problems corresponding to each preset problem characteristic, so that a quality detection report can be established for relevant personnel to intuitively know the quality condition of the engineering site.
Example 6
On the basis of embodiment 3, the information processing method for engineering quality detection, the step 21, includes:
step 211: analyzing the construction data to obtain a plurality of real-time data, and sequentially sequencing the real-time data according to the initial position of each real-time data in the construction data to obtain a data sequence;
step 212: selecting a corresponding matrix sample according to the length of the data sequence, sequentially inputting real-time data in the data sequence into the matrix sample as matrix elements, and filling the matrix sample with a preset element sample to obtain a data matrix when all matrix elements are input and the matrix sample contains blank elements;
step 213: selecting a corresponding clustering algorithm according to the matrix specification of the data matrix, and obtaining similar elements corresponding to each matrix element in the data matrix by using the clustering algorithm to obtain a plurality of element similar sets;
step 214: and carrying out secondary clustering on the element similar sets to obtain overlapping set areas among different element similar sets, and establishing data classes according to the overlapping set areas.
In this example, the initial position represents the position of the real-time data in the construction data;
in this example, the order of the real-time data in the data sequence is consistent with the order of the real-time data in the construction data;
in this example, the process of selecting the corresponding matrix samples according to the length of the data sequence includes: acquiring the length of a data sequence and marking the length as a length value, carrying out factorization on the length value to obtain a plurality of factors to be selected, establishing a matrix to be selected of corresponding specification according to each factor to be selected, and marking the matrix to be selected with the least matrix element bits as a sample matrix;
in this example, the preset element sample represents short-time data of length 1;
in this example, different element similarity sets have overlapping elements;
in this example, the coincident set region represents the same element in a similar set of different elements;
in this example, the element similarity sets are clustered for the second time to obtain a coincidence set region between different element similarity sets, and the process of establishing the data class according to the coincidence set region includes:
obtaining all element similar sets, respectively encoding each element similar set to obtain a similar set with the encoded elements, collecting all similar sets with the encoded elements, and recording the obtained similar set sequence as
Calculating a first similarity between a similarity set of tape-woven elements and a similarity set of different tape-woven elements according to formula (1);
wherein D is 1 Representing a first similarity between one similarity set of tape-coded elements and a different similarity set of tape-coded elements, n representing the number of similarity sets of elements to be transformed in the sequence of similarity sets,represents a sequence of similarity sets, k represents the kth similarity set with coded elements in the sequence of similarity sets,/>Indicating that the similarity set of the element with the coding is derived from a similarity set sequence, f i Representing an ith similarity set of tape-coded elements;
obtaining first similarity of different similarity sets of the braided elements according to the calculation result of the formula (1);
recording the similarity sets with the editing elements, the first similarity of which is greater than the similarity of the preset set, as one type, obtaining a plurality of clustering sets, and calculating the second similarity between different similarity sets with the editing elements in each clustering set according to a formula (2);
wherein D is 2 Representing a second similarity between different braided element similarity sets in the same cluster, g aj Represents the j matrix elements in the a-th similarity set of the belt-coded elements in the same cluster, h a Representing a first clustering weight, h, between an a-th similarity set with coded elements and a corresponding cluster set in the same cluster set b Representing a second aggregate weight between a b-th similarity set of the tape-coded elements and the corresponding aggregate set in the same cluster, wherein the b-th similarity set of the tape-coded elements can be any similarity set of the tape-coded elements except the a-th similarity set of the tape-coded elements in the cluster, and gamma represents a correction parameter, and the value range of the gamma is [0.7,1.1 ]]；
And (3) obtaining second similarity between different similar sets of the element with the coding in the same clustering set according to the calculation result of the formula (2), obtaining a coincident set region between different similar sets of the element, and establishing a data class.
The working principle of the technical scheme has the beneficial effects that: the construction data are analyzed to obtain a plurality of real-time data, then a data sequence is established according to the arrangement sequence of the real-time data in the construction data, in order to reduce the burden of classification work, a proper matrix sample is needed to be selected, so that the matrix sample is selected according to the length of the matrix data sequence, then the real-time data are input into the matrix sample, blank element bits in the matrix sample are filled with preset element samples under necessary conditions, thus a data matrix is established, then the data matrix is subjected to clustering analysis by using a clustering algorithm, a plurality of element similarity sets can be obtained, and data classes are generated by clustering overlapping areas in different element similarity sets, so that the current construction progress of a construction site is established later.
Example 7
On the basis of embodiment 6, the information processing method for engineering quality detection is as follows:
before filling the matrix sample with a preset element sample, the method comprises the following steps:
obtaining a matrix sample filled with matrix elements to be marked as a first matrix, and marking the matrix elements on the first matrix as first elements;
marking a plurality of submatrices on the first matrix by taking each first element as a central element and taking a nine square lattice as a specification, and marking the submatrices as second matrix elements;
the matrix elements at the edge of the first matrix are complemented with missing matrix elements by using a preset identity matrix;
performing exclusive OR logic operation on each second matrix and a preset identity matrix respectively to obtain an operation result;
marking a second matrix with an operation result of 0 as a same second matrix, counting the first number of the same second matrix, marking a second matrix with an operation result of 1 as a different second matrix, and counting the second number of the different second matrix;
calculating a quantitative ratio between the first quantity and the second quantity;
and when the number ratio is out of the range of the preset number ratio, determining that the filling rate of the first matrix is low, determining that the construction data is lost, generating an emergency report, and transmitting the emergency report to a display terminal for display.
In this example, the first matrix represents a sample matrix filled with matrix elements;
in this example, the first element represents an element on the first matrix;
in this example, the second matrix has a size of 3*3, derived from the first matrix;
in this example, the exclusive or logic operation is a binary logic operation in a computer, and according to the calculation result, it can be determined whether the binary bits of the two data of the participating elements are identical.
The working principle of the technical scheme has the beneficial effects that: the integrity of the construction data can be primarily judged by analyzing the filling rate of the matrix sample, and an emergency report can be timely generated when the construction data is lost, so that related personnel can be reminded of timely maintaining the data, and accidents are avoided.
Example 8
The invention provides an inspector terminal for engineering quality inspection, which is shown in fig. 2 and comprises the following components:
the acquisition module is used for acquiring construction data of an engineering site;
the analysis module is used for analyzing the construction data to obtain the current construction progress and obtaining the current construction standard quality matched with the current construction progress;
the analysis module is used for determining the current construction actual quality of the engineering site according to the construction data, comparing and analyzing the current construction actual quality with the current construction standard quality to obtain an analysis result;
the prediction module is used for predicting engineering quality problems existing in engineering sites and occurrence probability corresponding to each engineering quality problem according to the analysis results;
and the execution module is used for establishing a quality detection report based on the engineering quality problem and the occurrence probability and transmitting the quality detection report to a display terminal for display.
In this example, the construction data includes: engineering appearance data, personnel work data and construction material data;
in this example, the current construction progress represents the completion progress of the construction project constructed at the project site;
in the example, the engineering scheme represents the construction direction reference of personnel when construction is performed, and the corresponding engineering schemes are different under different construction progress;
in this example, the current construction standard quality represents a standard for predicting the construction quality corresponding to the current construction progress before the construction is performed;
in this example, the current actual quality of construction means the quality of the product being built at the current construction progress in the course of performing the construction.
The working principle of the technical scheme has the beneficial effects that: the construction data of the engineering site is collected to obtain the current construction progress of the engineering site, the current construction standard quality is extracted from the engineering scheme matched with the construction progress, the current construction actual quality is established by using the construction data for comparison analysis, the current construction actual quality is compared with the conceptual construction standard quality of the construction actual quality, the engineering quality problems existing in the engineering site are predicted, meanwhile, the occurrence probability corresponding to each engineering quality problem is predicted, and finally, a quality detection report is established, so that information for engineering quality detection can be pre-marked, data which possibly reflect the engineering quality problems can be marked, and relevant detection professionals can visually and preferentially see the engineering quality problems conveniently.
Example 9
On the basis of embodiment 8, the inspector terminal for engineering quality inspection, the analysis module includes:
the first analysis unit is used for analyzing the construction data to obtain a plurality of real-time data, establishing a data matrix, and carrying out cluster analysis on matrix elements in the data matrix to obtain a plurality of data classes;
the second analysis unit is used for respectively acquiring class characteristics of each data class and constructing the current construction progress of the engineering site based on the class characteristics;
the third analysis unit is used for acquiring preset construction task information of the engineering site, and selecting a corresponding engineering scheme from the preset construction task information according to the current construction progress;
and the fourth analysis unit is used for obtaining the construction purpose of the engineering scheme and obtaining the current construction standard quality of the engineering site.
In this example, the data matrix represents a matrix established with real-time data as matrix elements;
in the example, cluster analysis represents a process of classifying matrix elements with consistent element attributes in a data matrix into one class;
in this example, the preset construction task information represents information about the structure of the construction work, the construction requirement, which is input by the management terminal before the construction is started;
in this example, the preset construction task information is composed of a plurality of engineering schemes;
in this example, the construction purpose represents the characteristics of the building being built after the project plan is completed.
The working principle of the technical scheme has the beneficial effects that: in order to realize data classification, construction data are firstly divided into real-time data to establish a data matrix, matrix elements are subjected to clustering analysis by utilizing the principle of matrix reversibility to obtain a plurality of data classes, so that the class characteristics of each data class can be utilized to establish the current construction progress, and meanwhile, the current construction standard quality of an engineering site is established according to an engineering scheme matched with the current construction progress in preset construction task information, so that the basis is provided for subsequent quality analysis.
Example 10
The invention provides an information processing system for engineering quality detection, as shown in fig. 3, comprising:
the information processing system includes: the inspector terminal, management terminal and display terminal of embodiments 8-9;
the management terminal is used for inputting preset construction task information of the engineering site and updating the preset database;
and the display terminal is used for displaying the quality detection report.
The working principle of the technical scheme has the beneficial effects that: different works are respectively executed by arranging a plurality of terminals, so that a finished work chain is formed, the checking before construction is realized, the checking function in construction is realized, and the accuracy of the information processing system is improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. An information processing method for engineering quality detection, characterized by comprising the following steps:
step 1: collecting construction data of an engineering site;
step 2: analyzing the construction data to obtain a current construction progress, and obtaining current construction standard quality matched with the current construction progress;
step 3: determining the current construction actual quality of the engineering site according to the construction data, and comparing and analyzing the current construction actual quality with the current construction standard quality to obtain an analysis result;
step 4: predicting engineering quality problems and occurrence probability corresponding to each engineering quality problem on an engineering site according to the analysis result;
the step 4 includes:
step 41: analyzing the analysis result to obtain the correlation degree between different quality outliers, and combining the difference quantity corresponding to the different quality outliers to obtain the quality anomaly characteristic of the engineering field;
step 42: inputting the quality abnormal characteristics into a preset database, traversing each preset problem characteristic in the preset database by using the quality abnormal characteristics, and obtaining the similarity between the quality abnormal characteristics and each preset problem characteristic;
step 43: obtaining engineering quality problems corresponding to each preset problem feature, and obtaining occurrence probability corresponding to each engineering quality problem of the engineering site by combining the similarity between the quality abnormal features and each quality problem feature;
step 5: and based on the engineering quality problem and the occurrence probability, establishing a quality detection report and transmitting the quality detection report to a display terminal for display.
2. The information processing method for engineering quality inspection according to claim 1, wherein the step 1 comprises:
step 11: acquiring real-time data acquired by each data acquisition source of the engineering site;
step 12: and summarizing the real-time data to generate construction data.
3. The information processing method for engineering quality inspection according to claim 1, wherein the step 2 includes:
step 21: analyzing the construction data to obtain a plurality of real-time data, establishing a data matrix, and carrying out cluster analysis on matrix elements in the data matrix to obtain a plurality of data classes;
step 22: respectively acquiring class characteristics of each data class, and constructing the current construction progress of the engineering site based on the class characteristics;
step 23: acquiring preset construction task information of the engineering site, and selecting a corresponding engineering scheme from the preset construction task information according to the current construction progress;
step 24: and obtaining the construction purpose of the engineering scheme, and obtaining the current construction standard quality of the engineering site.
4. The information processing method for engineering quality inspection according to claim 1, wherein the step 3 includes:
step 31: acquiring historical construction data and historical construction standard quality, and establishing a construction model;
step 32: inputting the construction data into the construction model for data fusion to obtain fusion weight of the construction data and the construction model, and obtaining current actual construction quality of the engineering site by combining construction model quality of the construction model with the fusion weight;
step 33: comparing the current construction actual quality with the construction standard quality to obtain quality same points and quality different points, and obtaining the difference corresponding to each quality different point;
step 34: marking the same mass point and different mass points and the corresponding difference quantity of each different mass point on the actual mass of the current construction, and establishing an analysis result.
5. An information processing method for engineering quality inspection according to claim 3, characterized in that the step 21 comprises:
step 211: analyzing the construction data to obtain a plurality of real-time data, and sequentially sequencing the real-time data according to the initial position of each real-time data in the construction data to obtain a data sequence;
step 212: selecting a corresponding matrix sample according to the length of the data sequence, sequentially inputting real-time data in the data sequence into the matrix sample as matrix elements, and filling the matrix sample with a preset element sample to obtain a data matrix when all matrix elements are input and the matrix sample contains blank elements;
step 213: selecting a corresponding clustering algorithm according to the matrix specification of the data matrix, and obtaining similar elements corresponding to each matrix element in the data matrix by using the clustering algorithm to obtain a plurality of element similar sets;
step 214: and carrying out secondary clustering on the element similar sets to obtain overlapping set areas among different element similar sets, and establishing data classes according to the overlapping set areas.
6. An information processing method for engineering quality inspection according to claim 5, characterized in that:
before filling the matrix sample with a preset element sample, the method comprises the following steps:
obtaining a matrix sample filled with matrix elements to be marked as a first matrix, and marking the matrix elements on the first matrix as first elements;
marking a plurality of submatrices on the first matrix by taking each first element as a central element and taking a nine square lattice as a specification, and marking the submatrices as second matrix elements;
the matrix elements at the edge of the first matrix are complemented with missing matrix elements by using a preset identity matrix;
performing exclusive OR logic operation on each second matrix and a preset identity matrix respectively to obtain an operation result;
marking a second matrix with an operation result of 0 as a same second matrix, counting the first number of the same second matrix, marking a second matrix with an operation result of 1 as a different second matrix, and counting the second number of the different second matrix;
calculating a quantitative ratio between the first quantity and the second quantity;
and when the number ratio is out of the range of the preset number ratio, determining that the filling rate of the first matrix is low, determining that the construction data is lost, generating an emergency report, and transmitting the emergency report to a display terminal for display.
7. An inspector terminal for engineering quality inspection, comprising:
the acquisition module is used for acquiring construction data of an engineering site;
the analysis module is used for analyzing the construction data to obtain the current construction progress and obtaining the current construction standard quality matched with the current construction progress;
the analysis module is used for determining the current construction actual quality of the engineering site according to the construction data, comparing and analyzing the current construction actual quality with the current construction standard quality to obtain an analysis result;
the prediction module is used for predicting engineering quality problems existing in engineering sites and occurrence probability corresponding to each engineering quality problem according to the analysis results;
the prediction module predicts the engineering quality problems existing in the engineering site and the occurrence probability corresponding to each engineering quality problem according to the analysis result, and comprises the following steps:
analyzing the analysis result to obtain the correlation degree between different quality outliers, and combining the difference quantity corresponding to the different quality outliers to obtain the quality anomaly characteristic of the engineering field;
inputting the quality abnormal characteristics into a preset database, traversing each preset problem characteristic in the preset database by using the quality abnormal characteristics, and obtaining the similarity between the quality abnormal characteristics and each preset problem characteristic;
obtaining engineering quality problems corresponding to each preset problem feature, and obtaining occurrence probability corresponding to each engineering quality problem of the engineering site by combining the similarity between the quality abnormal features and each quality problem feature;
and the execution module is used for establishing a quality detection report based on the engineering quality problem and the occurrence probability and transmitting the quality detection report to a display terminal for display.
8. An inspector terminal for engineering quality inspection according to claim 7, wherein said parsing module includes:
the first analysis unit is used for analyzing the construction data to obtain a plurality of real-time data, establishing a data matrix, and carrying out cluster analysis on matrix elements in the data matrix to obtain a plurality of data classes;
the second analysis unit is used for respectively acquiring class characteristics of each data class and constructing the current construction progress of the engineering site based on the class characteristics;
the third analysis unit is used for acquiring preset construction task information of the engineering site, and selecting a corresponding engineering scheme from the preset construction task information according to the current construction progress;
and the fourth analysis unit is used for obtaining the construction purpose of the engineering scheme and obtaining the current construction standard quality of the engineering site.
9. An information processing system for engineering quality inspection, comprising:
the information processing system includes: an inspector terminal according to any one of claims 7-8, a management terminal and a display terminal;
the management terminal is used for inputting preset construction task information of the engineering site and updating a preset database;
and the display terminal is used for displaying the quality detection report.
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