CN113610333A - Hydraulic engineering construction quality inspection method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides a hydraulic engineering construction quality inspection method, a hydraulic engineering construction quality inspection device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring field index data of the hydraulic engineering, wherein the field index data is an index inspection result of the hydraulic engineering during an engineering inspection period; carrying out data structuring on the field index data to obtain index structured data corresponding to the field index data; calling a preset index weight value, and performing data fusion on index structured data to obtain preliminary inspection data of the hydraulic engineering; based on the engineering inspection days and the inspection number of people of the hydraulic engineering, calling a fuzzy membership degree analysis method to analyze the single-person single-day coefficient; and performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and the preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering. The method and the device can avoid the interference of different detection periods or different projects on the inspection result, ensure the rationality of the inspection result and enable the quantitative inspection mode to be more comprehensive and scientific.
Description
Technical Field
The application relates to the technical field of computers, in particular to a hydraulic engineering construction quality inspection method and device, electronic equipment and a storage medium.
Background
Along with the comprehensive promotion of water conservancy reform, the management level of hydraulic engineering is showing and is improving, and water conservancy infrastructure construction is comprehensive quickening, and the civil water conservancy construction is showing in effect, and water resource management and control is stricter, has effectively ensured the full play of benign operation and the benefit of engineering. However, the quality supervision work of the current hydraulic engineering construction is mainly applied to the construction of the south-to-north water transfer engineering, mainly aims at the problems in the construction of the south-to-north water transfer engineering, carries out problem description in a qualitative inspection mode, and cannot visually represent the construction quality level of the hydraulic engineering. It is seen that a comprehensive and scientific quantitative inspection mode aiming at the construction quality of the hydraulic engineering is lacked at present.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for checking the construction quality of a hydraulic engineering, an electronic device, and a storage medium, which are used to solve the problem that the existing hydraulic engineering lacks a comprehensive and scientific quantitative checking method.
In a first aspect, an embodiment of the present application provides a hydraulic engineering construction quality inspection method, including:
acquiring field index data of the hydraulic engineering, wherein the field index data is an index inspection result of the hydraulic engineering during an engineering inspection period;
carrying out data structuring on the field index data to obtain index structured data corresponding to the field index data;
calling a preset index weight value, and performing data fusion on index structured data to obtain preliminary inspection data of the hydraulic engineering;
based on the engineering inspection days and the inspection number of people of the hydraulic engineering, calling a fuzzy membership degree analysis method to analyze the single-person single-day coefficient;
and performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and the preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering.
In this embodiment, quantitative determination of quality indexes of hydraulic engineering is realized by obtaining field index data of the hydraulic engineering and performing data structuring on the field index data to obtain index structured data corresponding to the field index data; then, by calling a preset index weight value, performing data fusion on the index structured data to obtain preliminary inspection data of the hydraulic engineering, so that the quantitative index of the hydraulic engineering is more visual; and finally, based on the engineering inspection days and the number of inspection people of the hydraulic engineering, calling a fuzzy membership degree analysis method, analyzing a single-day coefficient, performing weighted operation on the preliminary inspection data according to the single-day coefficient and a preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering, avoiding the interference of different inspection days or numbers on the inspection results, ensuring the rationality of the inspection results, and enabling the quantitative inspection mode to be more comprehensive and scientific.
In one embodiment, a fuzzy membership analysis method is called based on engineering inspection days and inspection population of hydraulic engineering, and a single-person single-day coefficient is analyzed, wherein the method comprises the following steps:
generating a single-person single-day quantitative score according to index structured data of hydraulic engineering, engineering inspection days and inspection people;
and calling a first section linear membership function established in advance, and carrying out membership analysis on the single-day quantitative score to obtain a single-day coefficient of each inspection.
In this embodiment, through on-the-spot index data, engineering inspection days and inspection population, the single day coefficient of analysis avoids different engineering projects or adopts the same inspection mode in different periods and leads to the result error for the inspection result is more accurate and reasonable.
In one embodiment, after performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and the preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering, the method further includes:
based on a preset abnormal value eliminating condition, eliminating target inspection data which meet the abnormal value eliminating condition from all target inspection data, wherein one target inspection data is obtained in each inspection;
and performing mean operation on all the target inspection data after the abnormal values are removed to obtain standard inspection data.
In this embodiment, for some engineering inspection projects, it is necessary to obtain the inspection results by multiple times of operations, and in order to ensure the accuracy of the inspection results, the abnormal target inspection data is cleaned.
In an embodiment, the preset index weighted value includes a first weighted value of the inspection content layer, a second weighted value of the inspection object layer, and a third weighted value of the inspection item layer, the inspection content layer, the inspection object layer, and the inspection item layer are in an increasing hierarchical relationship, the preset index weighted value is called, and data fusion is performed on the index structured data to obtain preliminary inspection data of the hydraulic engineering, including:
calling a preset second piecewise linear membership function, and performing piecewise fusion on the index structured data to obtain a plurality of inspection content data of an inspection content layer, wherein the inspection content layer comprises a plurality of inspection contents, and each inspection content comprises one or more index structured data;
calling a first weight value, and fusing a plurality of inspection content data to obtain a plurality of inspection object data of an inspection object layer, wherein the inspection object layer comprises a plurality of inspection objects, and each inspection object comprises one or more inspection contents;
calling a second weight value, and fusing the plurality of inspection object data to obtain a plurality of inspection item data of an inspection item layer, wherein the inspection item layer comprises a plurality of inspection items, and each inspection item comprises one or more inspection objects;
and calling a third weight value, and fusing the data of the plurality of inspection items to obtain initial inspection data of the hydraulic engineering.
In the embodiment, the index structured data is subjected to fusion processing through an analytic hierarchy process, so that the inspection mode is more comprehensive and scientific, and the inspection result is more reasonable and accurate.
Further, a calculation formula of the second piecewise linear membership function is as follows:
A＝10*Nser1+6*NRser1+2*Ngen1；
B＝10*Nser2+6*NRser2+2*Ngen2；
wherein SHD represents preliminary inspection data, a represents a first inspection content quantitative score calculated from site index data, B represents a second inspection content quantitative score calculated from a preset index list, and Nser1Representing the number of severe indicators in the field indicator data, NRser1Representing the number of more severe indicators in the field indicator data, Ngen1Representing the number of general indicators in the field indicator data, Nser2Representing the number of severity indicators in a predetermined list of indicators, NRser2Representing the number of more severe indicators in a predetermined list of indicators, Ngen2The number of the general indexes in the preset index list is shown.
In the implementation mode, the correlation among different indexes is integrated through the combination analysis of the field index data and the preset index list, so that the inspection content data is more accurate and reasonable.
Further, transfer and preset the index weighted value, carry out data fusion to the structured data of index, before obtaining hydraulic engineering's preliminary examination data, still include:
constructing a judgment matrix by taking each inspection content in the inspection content layer or each inspection object in the inspection object layer as an element;
determining the continuous product of each row of elements in the judgment matrix, and generating a relative weight value of each element relative to the previous level based on the continuous product of each row of elements;
based on the respective relative weight values, a first weight value of each inspection content in the inspection content layer or a second weight value of each inspection object in the inspection object layer is generated.
In the implementation mode, the judgment matrix is constructed, so that the influence of subjective factors caused by artificial scoring can be avoided, and the accuracy of the inspection result is improved.
Further, before generating a first weight value of each inspection content in the inspection content layer or a second weight value of each inspection object in the inspection object layer based on each relative weight value, the method further includes:
comparing the random consistency ratio of the judgment matrix with a preset value according to the maximum eigenvalue of the judgment matrix;
and if the random consistency ratio of the matrix is judged to be smaller than the preset value, judging that the relative weight value meets the reliability requirement.
In the implementation mode, the judgment matrix is the basis and the key for determining the weight by the analytic hierarchy process, so that whether the matrix meets the consistency requirement is judged by verification to ensure the reliability of the relative weight value.
In a second aspect, an embodiment of the present application provides a hydraulic engineering construction quality inspection device, including:
the data acquisition module is used for acquiring field index data of the hydraulic engineering, wherein the field index data is an index inspection result of the hydraulic engineering during an engineering inspection period;
the data structuring module is used for carrying out data structuring on the field index data to obtain index structured data corresponding to the field index data;
the data fusion module is used for calling a preset index weight value and carrying out data fusion on the index structured data to obtain preliminary inspection data of the hydraulic engineering;
the data analysis module is used for calling a fuzzy membership degree analysis method based on the engineering inspection days and the inspection number of people of the hydraulic engineering and analyzing the single-person single-day coefficient;
and the data operation module is used for performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and the preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the hydraulic engineering construction quality inspection method of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for checking the hydraulic engineering construction quality of the first aspect is implemented.
It should be noted that, for the beneficial effects of the second aspect to the fourth aspect, reference may be made to the description related to the first aspect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of a hydraulic engineering construction quality inspection method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a hydraulic engineering construction quality inspection device provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
As related records of the background art, the quality supervision work of the current hydraulic engineering construction is mainly applied to the construction of the south-to-north water transfer engineering, mainly aims at the problems in the construction of the south-to-north water transfer engineering, carries out problem description in a qualitative inspection mode, and cannot visually represent the construction quality level of the hydraulic engineering.
In order to solve the problems in the prior art, the application provides a hydraulic engineering construction quality inspection method, which comprises the steps of obtaining field index data of hydraulic engineering, and carrying out data structuring on the field index data to obtain index structured data corresponding to the field index data so as to quantify quality indexes of the hydraulic engineering; then, by calling a preset index weight value, performing data fusion on the index structured data to obtain preliminary inspection data of the hydraulic engineering, so that the quantitative index of the hydraulic engineering is more visual; at last, based on the engineering inspection days and the number of inspection people of hydraulic engineering, call the fuzzy membership degree analysis method, analyze the single day coefficient, and according to single day coefficient and preset engineering grade coefficient, carry out the weighted operation to preliminary inspection data, obtain hydraulic engineering's target inspection data, avoid inspection days and the interference of number of inspection people to the inspection result, guarantee the rationality of inspection result, make the quantitative inspection mode more comprehensive and scientific, make the inspection result of different engineering grades more comparability simultaneously.
Referring to fig. 1, fig. 1 shows an implementation flowchart of a hydraulic engineering construction quality inspection method provided by the embodiment of the present application. The hydraulic engineering construction quality inspection method described in the embodiment of the present application can be applied to electronic devices, including but not limited to computer devices such as smart phones, tablet computers, desktop computers, supercomputers, and personal digital assistants. The hydraulic engineering construction quality inspection method of the embodiment of the application comprises the following steps of S101 to S105:
s101, acquiring field index data of the hydraulic engineering, wherein the field index data is an index inspection result of the hydraulic engineering during an engineering inspection period.
In this embodiment, the on-site index data may be acquired based on each index in the hydraulic engineering construction and quality safety production supervision and inspection method (trial). For example, whether the slope and size of the permanent drain trough meet regulatory or contractual specifications, the specific data of the field index data may be that the slope and size of the permanent drainage channel do not meet the regulatory specification, the slope and size of the permanent drainage channel do not meet the contractual specifications, and the gradient and the size of the permanent drainage ditch do not meet the regulation specification or the contract technical requirement and the like, meanwhile, the field index data can also determine the severity of the index, for example, the severity that the gradient and the size of the permanent drainage channel do not meet the regulation specification is general, the severity that the gradient and the size of the permanent drainage channel do not meet the technical requirements of the contract is severe, and the severity that the gradient and the size of the permanent drainage channel meet the regulation specification or the technical requirements of the contract is severe.
It can be understood that, in general, each hydraulic engineering project has a plurality of field inspectors, the time days of each inspection are different, each field inspector collects field index data based on the indexes, and the collected field index data is input into the electronic equipment for data processing and analysis.
And S102, carrying out data structuring on the field index data to obtain index structured data corresponding to the field index data.
In this embodiment, illustratively, according to the severity of the field indicators, quantitative processing is performed on the field indicator data in a hierarchical assignment manner according to "hydraulic engineering construction and quality safety production supervision and inspection approach (trial implementation)", so as to implement data structuring. For example, the following sets of data are drawn up: 1. 3, 5; 1. 5, 8; 2. 4, 6; 2. 6 and 10. According to the mathematical assigned quantization analysis principle, the quantization score should satisfy the following conditions: keeping the difference between the three grades equal; principle 2 the number of "serious" should be greater than the sum of "normal" and "heavy", the number of "serious" should be less than the sum of two "heavy", the number of "heavy" should be greater than the sum of two "normal".
| Principles and schemes | 1、3、5 | 1、5、8 | 2、4、6 | 2、6、10 |
| Principle one | Satisfy the requirement of | Not meet the requirements of | Satisfy the requirement of | Satisfy the requirement of |
| Principle two | Satisfy the requirement of | Satisfy the requirement of | Not meet the requirements of | Satisfy the requirement of |
In the above table, "1, 3, 5", "2, 6, 10" all satisfy the above principle, but the difference between the three levels "1, 3, 5" is small, and the difference between the problems cannot be truly reflected. In summary, the initial quantization values "2, 6, 10" are selected to correspond to three levels of "normal", "heavy", and "severe", respectively. That is, when the field index data is general, the index structured data is 2, when the field index data is heavy, the index structured data is 6, and when the field index data is severe, the index structured data is 10.
S103, calling a preset index weight value, and performing data fusion on the index structured data to obtain preliminary inspection data of the hydraulic engineering.
In this embodiment, an analytic hierarchy process may be used to perform data fusion on the index structured data, specifically, a preset index weight value corresponding to the data of the layer is called in each layer to weight the data of the layer, and the result of the layer is used for input of the next layer to perform fusion.
Wherein the hierarchy can be divided into an index layer, a content layer, an object layer, a project layer and a target layer. The index layer comprises index structured data of a plurality of field indexes, and the content layer is used for classifying the problems of all responsibility units in the quality management violation behaviors, such as: the quality management content of the reconnaissance design unit mainly comprises six indexes, namely indexes such as a quality management system, ready-made services, design files and construction drawings (including design changes), reconnaissance design quality problems and quality accidents, engineering acceptance and the like; the object layer is used for classifying objects such as project legal persons (construction units), survey design units, construction units, supervision units and the like involved in the quality management violation behaviors, and supervising and checking the quality defects related to engineering quality such as basic processing, earthwork engineering, concrete and reinforced concrete engineering, building protection and drainage engineering, metal electromechanics and the like; and the project layer is used for respectively monitoring and checking the quality management violation and the engineering quality defect in a single hydraulic engineering. The target layer takes a single project as a basic unit and supervises and checks the quality of the single hydraulic project.
In an embodiment, the preset index weighted value includes a first weighted value of the inspection content layer, a second weighted value of the inspection object layer, and a third weighted value of the inspection item layer, the inspection content layer, the inspection object layer, and the inspection item layer are in an increasing hierarchical relationship, the preset index weighted value is called, and data fusion is performed on the index structured data to obtain preliminary inspection data of the hydraulic engineering, including:
calling a preset second piecewise linear membership function, and performing piecewise fusion on the index structured data to obtain a plurality of inspection content data of an inspection content layer, wherein the inspection content layer comprises a plurality of inspection contents, and each inspection content comprises one or more index structured data; calling a first weight value, and fusing a plurality of inspection content data to obtain a plurality of inspection object data of an inspection object layer, wherein the inspection object layer comprises a plurality of inspection objects, and each inspection object comprises one or more inspection contents; calling a second weight value, and fusing the plurality of inspection object data to obtain a plurality of inspection item data of an inspection item layer, wherein the inspection item layer comprises a plurality of inspection items, and each inspection item comprises one or more inspection objects; and calling a third weight value, and fusing the data of the plurality of inspection items to obtain initial inspection data of the hydraulic engineering.
In this embodiment, the formula for calculating the second piecewise linear membership function is:
A＝10*Nser1+6*NRser1+2*Ngen1；
B＝10*Nser2+6*NRser2+2*Ngen2；
wherein SHD represents the preliminary inspection data, and A represents the inspection data based onA first inspection content quantitative score calculated from the site index data, B represents a second inspection content quantitative score calculated from a preset index list, Nser1Representing the number of severe indicators in the field indicator data, NRser1Representing the number of more severe indicators in the field indicator data, Ngen1Representing the number of general indicators in the field indicator data, Nser2Representing the number of severity indicators in a predetermined list of indicators, NRser2Representing the number of more severe indicators in a predetermined list of indicators, Ngen2The number of the general indexes in the preset index list is shown.
After the operation of the index layer is completed, according to the principle of single index quantization-multi-index synthesis, the single content of each layer is weighted and fused step by step to finally obtain the initial inspection data of the hydraulic engineering project, and the calculation is as follows:
wherein OHD, PHD, HD represent inspection data of object layer, project layer, target layer, respectively, and wi、wj、wkEach of the weights indicates the weight corresponding to each of the examination content, examination object, and examination item.
By the above calculation, the inspection data HD of the target layer is one [0, 1 ]]In order to meet the cognitive habits of people, the numerical value of (2) is converted into a percentile system numerical value: HDHMs＝HD*100；HDHMSRepresenting initial inspection data of the hydraulic project.
Further, transfer and preset the index weighted value, carry out data fusion to the structured data of index, before obtaining hydraulic engineering's preliminary examination data, still include: constructing a judgment matrix by taking each inspection content in the inspection content layer or each quantization score of each inspection object in the inspection object layer as an element; determining the continuous product of each row of elements in the judgment matrix, and generating a relative weight value of each element relative to the previous level based on the continuous product of each row of elements; based on the respective relative weight values, a first weight value of each inspection content in the inspection content layer or a second weight value of each inspection object in the inspection object layer is generated.
In the implementation mode, the judgment matrix is constructed, so that the influence of subjective factors caused by artificial scoring can be avoided, and the accuracy of the inspection result is improved. Specifically, the judgment matrix is for the inspection element (inspection content or inspection object) of the previous layer, and is an m × m matrix (m represents the number of elements in the layer) representing the relative importance between the elements of the layer, where the matrix element aI，jThe value of the scale representing the importance of the element i relative to the element j is 1-9, and the meanings and descriptions of the scales are shown in the following table.
In order to reduce the influence of manual operation on weight determination, a judgment matrix is constructed according to the quantitative scores of the elements. Firstly, marking the elements on the main diagonal in the judgment matrix as 1, then calculating the matrix elements with i being larger than j, and finally calculating the matrix elements with i being smaller than j.
Where round (. cndot.) represents rounding, which is 1/9 when Aij ≦ 1 and 9 when Aij ≧ 9.
Illustratively, the continuous product M of each row of elements is calculated from the decision matrixi：
1, 2, 3. Calculating MiRoot of Szechwan Chinesemedicinal
Calculating the relative weight value of each element relative to the previous layer:
further, before generating a first weight value of each inspection content in the inspection content layer or generating a second weight value of each inspection object in the inspection object layer based on each relative weight value, the method further includes: comparing the random consistency ratio of the judgment matrix with a preset value according to the maximum eigenvalue of the judgment matrix; and if the random consistency ratio of the matrix is judged to be smaller than the preset value, judging that the relative weight value meets the reliability requirement.
In the implementation mode, the judgment matrix is the basis and the key for determining the weight by the analytic hierarchy process, so that whether the matrix meets the consistency requirement is judged by verification to ensure the reliability of the relative weight value. Illustratively, the consistency of the judgment matrix is measured by a random consistency ratio (C.R.), and the judgment matrix is considered to meet the consistency requirement when the C.R. < 0.1. The calculation formula is as follows:
C.R.＝C.I./R.I.；
C.I.＝(λmax-n)/(n-1)；
wherein alpha ismaxAnd the maximum characteristic value corresponding to the judgment matrix is shown, and the R.I. is obtained by the inquiry of the following table.
| Order of matrix | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| R.I. | 0 | 0 | 0.52 | 0.89 | 1.12 | 1.26 | 1.36 | 1.41 | 1.46 | 1.49 |
And S104, calling a fuzzy membership degree analysis method based on the engineering inspection days and the inspection number of people of the hydraulic engineering, and analyzing the single-person single-day coefficient.
In the embodiment, the engineering grades are different due to different projects, the number of potential problems, the input inspectors and the inspection time are also different, and in order to make the hydraulic engineering inspection results comparable, a single-day coefficient is introduced to adjust the calculation results. A fuzzy membership degree analysis method is adopted to establish a piecewise linear function, and a single-person single-day coefficient is obtained by finding a problem quantization value through single-person single-day inspection.
In one embodiment, a fuzzy membership analysis method is called based on engineering inspection days and inspection population of hydraulic engineering, and a single-person single-day coefficient is analyzed, wherein the method comprises the following steps: generating a single-person single-day quantitative score for each inspection according to index structured data, engineering inspection days and inspection number of persons of the hydraulic engineering; and calling a pre-established first section linear membership function, and carrying out membership analysis on the single-person single-day quantitative score to obtain a single-person single-day coefficient.
In the present embodiment, illustratively, the single-person single-day coefficient (C)TR) The calculation formula is as follows:
wherein, CTRRepresenting a single-person single-day coefficient, VTRThe single-person single-day quantitative score of the engineering project is represented and is equal to the total quantitative score of the engineering project divided by the number of inspectors and the number of engineering inspection days. N is a radical ofser3、NRser3、Ngen3Respectively, the number of serious, heavy and general items in the field index data of the whole engineering project. N is a radical ofrAnd NtThe number of persons and the number of days of inspection of the project are respectively shown.
And S105, performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and the preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering.
In this embodiment, since the engineering grades of different hydraulic engineering projects are different, the field index data also has a large difference. Comprehensively considering the scale, benefit and importance of hydraulic engineering project, referring to the classification of hydraulic and hydroelectric engineering and flood standard, dividing the hydraulic engineering into five classes I, II, III, IV and V, and respectively assigning a weight coefficient (C)ed)：1.000、0.975、0.950、0.925、0.900。
Illustratively, the calculation formula of the target inspection data is as follows:
WCHD＝HD_HMS*CTR*Ced；
wherein, WCHD represents the target inspection data of hydraulic engineering.
In one embodiment, after performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and the preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering, the method further includes: based on a preset abnormal value eliminating condition, eliminating target inspection data which meet the abnormal value eliminating condition from all target inspection data, wherein one target inspection data is obtained in each inspection; and performing mean operation on all the target inspection data after the abnormal values are removed to obtain standard inspection data.
In this embodiment, for some engineering inspection projects, it is necessary to obtain the inspection results by multiple times of calculation, and in order to ensure the accuracy of the inspection results, the abnormal target inspection data is cleaned. Illustratively, an item whose target inspection data is significantly smaller than other inspection items is regarded as an abnormal item, and its target inspection data is regarded as an abnormal value.
Optionally, when the number of checks is greater than or equal to 3, checking the mean value of the data sample set according to the engineering single target
And standard deviation of
Removing abnormal values, specifically:
HD_HMSiand target inspection data of single quality inspection of the hydraulic engineering obtained according to the ith inspection result are shown.
Optionally, when the number of times of examination is 2, rejecting the abnormal value according to the difference between the two target examination data samples and whether the reject item exists. The method specifically comprises the following steps:
HD_HMSmaxand HD _ HMSminAnd respectively showing the one time with larger target inspection data and the one time with smaller target inspection data in the two inspection results of a certain hydraulic engineering.
After the abnormal value is removed, taking the average value of all target inspection data in the region as standard inspection data:
q represents standard inspection data.
In order to implement the method corresponding to the above method embodiment to achieve the corresponding function and technical effect, a hydraulic engineering construction quality inspection device is provided below. Referring to fig. 2, fig. 2 is a block diagram of a hydraulic engineering construction quality inspection device according to an embodiment of the present application. The modules included in the apparatus in this embodiment are used to execute the steps in the embodiment corresponding to fig. 1, and refer to fig. 1 and the related description in the embodiment corresponding to fig. 1 specifically. For convenience of explanation, only the parts related to the embodiment are shown, and the hydraulic engineering construction quality inspection device provided by the embodiment of the application comprises:
the data acquisition module 201 is configured to acquire field index data of a hydraulic engineering, where the field index data is an index inspection result of the hydraulic engineering during an engineering inspection period;
a data structuring module 202, configured to perform data structuring on the field index data to obtain index structured data corresponding to the field index data;
the data fusion module 203 is used for calling a preset index weight value, and performing data fusion on the index structured data to obtain preliminary inspection data of the hydraulic engineering;
the data analysis module 204 is used for calling a fuzzy membership degree analysis method based on the engineering inspection days and the inspection number of people of the hydraulic engineering and analyzing the single-person single-day coefficient;
and the data operation module 205 is configured to perform weighted operation on the preliminary inspection data according to the single-person single-day coefficient and a preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering.
In an embodiment, the data analysis module 204 is specifically configured to:
the generating unit is used for generating a single-person single-day quantitative score according to index structured data of the hydraulic engineering, engineering inspection days and inspection people;
and the analysis unit is used for calling a pre-established first segment linear membership function and carrying out membership analysis on the single-day quantitative score to obtain a single-day coefficient.
In an embodiment, the inspection apparatus further includes:
the rejecting module is used for rejecting target inspection data meeting the abnormal value rejecting condition from all target inspection data based on a preset abnormal value rejecting condition, wherein one target inspection data is obtained in each inspection;
and the operation module is also used for carrying out mean value operation on all the target inspection data after the abnormal values are removed to obtain standard inspection data.
In an embodiment, the preset index weighted value includes a first weighted value of the inspection content layer, a second weighted value of the inspection object layer, and a third weighted value of the inspection item layer, the inspection content layer, the inspection object layer, and the inspection item layer are in an increasing hierarchical relationship, and the data fusion module 203 includes:
the first fusion unit is used for calling a preset second piecewise linear membership function and carrying out piecewise fusion on the index structured data to obtain a plurality of inspection content data of an inspection content layer, wherein the inspection content layer comprises a plurality of inspection contents, and each inspection content comprises one or more index structured data;
the second fusion unit is used for calling the first weight value and fusing the plurality of inspection content data to obtain a plurality of inspection object data of an inspection object layer, wherein the inspection object layer comprises a plurality of inspection objects, and each inspection object comprises one or more inspection contents;
a third fusion unit, configured to invoke a second weight value, and fuse the plurality of inspection object data to obtain a plurality of inspection item data of an inspection item layer, where the inspection item layer includes a plurality of inspection items, and each inspection item includes one or more inspection objects;
and the fourth fusion unit is used for calling the third weight value, fusing the plurality of inspection item data and obtaining the preliminary inspection data of the hydraulic engineering.
Further, a calculation formula of the second piecewise linear membership function is as follows:
A＝10*Nser1+6*NRser1+2*Ngen1；
B＝10*Nser2+6*NRser2+2*Ngen2；
wherein SHD represents preliminary inspection data, a represents a first inspection content quantitative score calculated from site index data, B represents a second inspection content quantitative score calculated from a preset index list, and Nser1Representing the number of severe indicators in the field indicator data, NRser1Representing the number of more severe indicators in the field indicator data, Ngen1Representing the number of general indicators in the field indicator data, Nser2Representing the number of severity indicators in a predetermined list of indicators, NRser2Representing the number of more severe indicators in a predetermined list of indicators, Ngen2The number of the general indexes in the preset index list is shown.
Further, the inspection apparatus further includes:
the construction module is used for constructing a judgment matrix by taking each inspection content in the inspection content layer or each inspection object in the inspection object layer as an element;
the determining module is used for determining the continuous product of each row of elements in the judgment matrix and generating the relative weight value of each element relative to the previous level based on the continuous product of each row of elements;
and the generating module is used for generating a first weight value of each checking content in the checking content layer or a second weight value of each checking object in the checking object layer based on each relative weight value.
Further, the above apparatus further comprises:
the comparison module is used for comparing the random consistency ratio of the judgment matrix with a preset value according to the maximum characteristic value of the judgment matrix;
and the judging module is used for judging that the relative weight value meets the reliability requirement if the random consistency ratio of the judgment matrix is smaller than the preset value.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 3, the electronic apparatus 3 of this embodiment includes: at least one processor 30 (only one shown in fig. 3), a memory 31, and a computer program 32 stored in the memory 31 and executable on the at least one processor 30, the processor 30 implementing the steps of any of the above-described method embodiments when executing the computer program 32.
The electronic device 3 may be a computing device such as a smart phone, a tablet computer, a desktop computer, a supercomputer, a personal digital assistant, a physical server, and a cloud server. The electronic device may include, but is not limited to, a processor 30, a memory 31. Those skilled in the art will appreciate that fig. 3 is only an example of the electronic device 3, and does not constitute a limitation to the electronic device 3, and may include more or less components than those shown, or combine some components, or different components, such as an input-output device, a network access device, and the like.
The Processor 30 may be a Central Processing Unit (CPU), and the Processor 30 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may in some embodiments be an internal storage unit of the electronic device 3, such as a hard disk or a memory of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the electronic device 3. The memory 31 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 31 may also be used to temporarily store data that has been output or is to be output.
In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in any of the method embodiments described above.
The embodiments of the present application provide a computer program product, which when running on an electronic device, enables the electronic device to implement the steps in the above method embodiments when executed.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A hydraulic engineering construction quality inspection method is applied to electronic equipment and comprises the following steps:
acquiring field index data of a hydraulic engineering, wherein the field index data is an index inspection result of the hydraulic engineering during an engineering inspection period;
carrying out data structuring on the field index data to obtain index structured data corresponding to the field index data;
calling a preset index weight value, and performing data fusion on the index structured data to obtain preliminary inspection data of the hydraulic engineering;
based on the engineering inspection days and the inspection number of people of the hydraulic engineering, calling a fuzzy membership degree analysis method to analyze the single-person single-day coefficient;
and performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and a preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering.
2. The hydraulic engineering construction quality inspection method according to claim 1, wherein the analyzing a single-person single-day coefficient by calling a fuzzy membership degree analysis method based on engineering inspection days and inspection people number of the hydraulic engineering comprises:
generating a single-person single-day quantitative score according to the index structured data, the engineering inspection days and the inspection number of persons of the hydraulic engineering;
and calling a pre-established first sectional linear membership function, and carrying out membership analysis on the single-person single-day quantitative score to obtain a single-person single-day coefficient.
3. The hydraulic engineering construction quality inspection method according to claim 1, wherein after performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and a preset engineering grade coefficient to obtain target inspection data of the hydraulic engineering, the method further comprises:
based on a preset abnormal value removing condition, removing all target inspection data meeting the abnormal value removing condition from the target inspection data, wherein one target inspection data is obtained in each inspection;
and performing mean value operation on all the target inspection data after the abnormal values are removed to obtain standard inspection data.
4. The hydraulic engineering construction quality inspection method according to claim 1, wherein the preset index weight values include a first weight value of an inspection content layer, a second weight value of an inspection object layer and a third weight value of an inspection item layer, the inspection content layer, the inspection object layer and the inspection item layer are in an increasing hierarchical relationship, the preset index weight values are called, and data fusion is performed on the index structured data to obtain preliminary inspection data of the hydraulic engineering, and the preliminary inspection data includes:
calling a preset second piecewise linear membership function, and carrying out piecewise fusion on the index structured data to obtain a plurality of inspection content data of the inspection content layer, wherein the inspection content layer comprises a plurality of inspection contents, and each inspection content comprises one or more index structured data;
calling the first weight value, and fusing the plurality of inspection content data to obtain a plurality of inspection object data of the inspection object layer, wherein the inspection object layer comprises a plurality of inspection objects, and each inspection object comprises one or more inspection contents;
calling the second weight value, and fusing the plurality of inspection object data to obtain a plurality of inspection item data of the inspection item layer, wherein the inspection item layer comprises a plurality of inspection items, and each inspection item comprises one or more inspection objects;
and calling the third weight value, and fusing the plurality of inspection project data to obtain preliminary inspection data of the hydraulic engineering.
5. The hydraulic engineering construction quality inspection method according to claim 4, wherein the calculation formula of the second piecewise linear membership function is:
A＝10*Nser1+6*NRser1+2*Ngen1；
B＝10*Nser2+6*NRser2+2*Ngen2；
wherein SHD represents the preliminary examination data, a represents a first examination content quantitative score calculated from the site index data, B represents a second examination content quantitative score calculated from a preset index list, and Nser1Representing the number of severe indicators in the field indicator data, NRser1Representing the number of more severe indicators in the field indicator data, Ngen1Representing the number of general indicators in the field indicator data, Nser2Representing the number of severity indicators in a predetermined list of indicators, NRser2Representing the number of more severe indicators in a predetermined list of indicators, Ngen2The number of the general indexes in the preset index list is shown.
6. The hydraulic engineering construction quality inspection method according to claim 4, wherein before the preset index weight value is called and the index structured data is subjected to data fusion to obtain the preliminary inspection data of the hydraulic engineering, the method further comprises:
constructing a judgment matrix by taking each inspection content in the inspection content layer or each inspection object in the inspection object layer as an element;
determining a continuous product of each row of elements in the judgment matrix, and generating a relative weight value of each element relative to a previous level based on the continuous product of each row of elements;
generating the first weight value of each inspection content in the inspection content layer or generating the second weight value of each inspection object in the inspection object layer based on each relative weight value.
7. The hydraulic engineering construction quality inspection method according to claim 6, wherein before generating the first weight value of each inspection content in the inspection content layer or generating the second weight value of each inspection object in the inspection object layer based on each relative weight value, the method further comprises:
comparing the random consistency ratio of the judgment matrix with a preset value according to the maximum eigenvalue of the judgment matrix;
and if the random consistency ratio of the judgment matrix is smaller than the preset value, judging that the relative weight value meets the reliability requirement.
8. A hydraulic engineering construction quality inspection device, characterized by includes:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring field index data of the hydraulic engineering, and the field index data is an index inspection result of the hydraulic engineering during an engineering inspection period;
the data structuring module is used for carrying out data structuring on the field index data to obtain index structured data corresponding to the field index data;
the data fusion module is used for calling a preset index weight value and carrying out data fusion on the index structured data to obtain preliminary inspection data of the hydraulic engineering;
the data analysis module is used for calling a fuzzy membership degree analysis method based on the engineering inspection days and the inspection number of people of the hydraulic engineering and analyzing the single-person single-day coefficient;
and the data operation module is used for performing weighted operation on the preliminary inspection data according to the single-person single-day coefficient and a preset engineering grade coefficient to obtain the target inspection data of the hydraulic engineering.
9. An electronic device, comprising a memory for storing a computer program and a processor for operating the computer program to make the electronic device execute the hydraulic engineering construction quality inspection method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the hydraulic engineering construction quality inspection method according to any one of claims 1 to 7.
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