CN117236764A

CN117236764A - Information processing method and system for engineering quality detection

Info

Publication number: CN117236764A
Application number: CN202311207372.7A
Authority: CN
Inventors: 李映英; 董维; 赵兵
Original assignee: Shenzhen Yangmen Technology Co ltd
Current assignee: Shenzhen Yangmen Technology Co ltd
Priority date: 2023-09-19
Filing date: 2023-09-19
Publication date: 2023-12-15

Abstract

The invention provides an information processing method and system for engineering quality detection, and relates to the technical field of data processing. In the invention, based on confirmation of the building engineering cluster, the corresponding current detection priority is obtained; obtaining each residual building engineering to be analyzed, of which the engineering quality detection priority is not determined, from the residual building engineering clusters to be analyzed; according to the construction project description data to be analyzed of each construction project to be analyzed, the construction project clusters and the rest construction project clusters to be analyzed are confirmed, and the corresponding internal priority coefficient of each rest construction project to be analyzed is analyzed; and determining at least one residual building engineering to be analyzed in the residual building engineering cluster to be analyzed based on the internal priority coefficient, and taking the current detection priority as the engineering quality detection priority of the at least one residual building engineering to be analyzed. Based on the method, the reliability of priority determination in engineering quality detection can be improved.

Description

Information processing method and system for engineering quality detection

Technical Field

The invention relates to the technical field of data processing, in particular to an information processing method and system for engineering quality detection.

Background

Engineering quality detection is an important means in the engineering application field, so in the prior art, building engineering data is generally analyzed to determine corresponding engineering quality, and in the prior art, a large concurrence amount may be encountered, that is, more building engineering quality needs to be analyzed, so that corresponding priority needs to be determined, for example, the building engineering 1 is firstly analyzed in quality, and then the building engineering 2 is analyzed, however, in the prior art, the priority of analysis is generally determined arbitrarily, so that the reliability is not high.

Disclosure of Invention

In view of the above, the present invention is directed to an information processing method and system for engineering quality detection, so as to improve the reliability of priority determination in engineering quality detection.

In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:

an information processing method for engineering quality detection, comprising:

determining construction project description data to be analyzed of each construction project to be analyzed in construction project clusters to be analyzed, wherein each construction project cluster to be analyzed comprises a plurality of construction projects to be analyzed;

According to the construction project description data to be analyzed of each construction project to be analyzed, analyzing the project quality detection priority of each construction project to be analyzed based on the form of sequentially and alternately executing target operations, wherein the step of executing the target operations once comprises the following steps:

based on the confirmed building engineering cluster, obtaining a corresponding current detection priority, wherein the confirmed building engineering cluster comprises each confirmed building engineering with the confirmed engineering quality detection priority, and the current detection priority is the highest detection priority except the engineering quality detection priority of each confirmed building engineering which is confirmed at present;

obtaining each residual building engineering to be analyzed, of which the engineering quality detection priority is not determined, from the residual building engineering clusters to be analyzed;

analyzing the internal priority coefficient corresponding to each residual building project to be analyzed according to the building project description data to be analyzed, the confirmed building project cluster and the residual building project clusters to be analyzed of each building project to be analyzed;

and determining at least one residual building project to be analyzed in the residual building project cluster based on the internal priority coefficient, and taking the current detection priority as the project quality detection priority of the at least one residual building project to be analyzed.

In some preferred embodiments, in the above information processing method for engineering quality detection, the step of analyzing the internal priority coefficient corresponding to each of the remaining building projects to be analyzed according to the building description data to be analyzed, the confirmed building cluster, and the remaining building clusters to be analyzed of each of the building projects to be analyzed includes:

extracting a first characteristic representation of engineering data analyzed according to the construction project description data to be analyzed of each construction project to be analyzed;

performing related information mining operation according to the first characteristic representation of the engineering data and the first characteristic representation of analysis conditions to output the first characteristic representation of the related information between each of the confirmed constructional engineering, wherein the first characteristic representation of the related information is used for reflecting content correlation information between each of the confirmed constructional engineering, the first characteristic representation of the analysis conditions is obtained according to analysis of each of the confirmed constructional engineering, and each characteristic representation parameter in the first characteristic representation of the analysis conditions is used for reflecting whether the corresponding constructional engineering to be analyzed has analyzed a corresponding engineering quality detection priority;

Performing information mining operation according to the first characteristic representation of the engineering data and the first characteristic representation of the analysis state to output the first characteristic representation of the residual information, which corresponds to each residual building engineering to be analyzed in common, wherein the first characteristic representation of the residual information is used for reflecting engineering data information of each residual building engineering to be analyzed, the first characteristic representation of the analysis state is obtained according to analysis of each residual building engineering to be analyzed, and each characteristic representation parameter in the first characteristic representation of the analysis state is used for reflecting whether the corresponding building engineering to be analyzed has no engineering quality detection priority;

and analyzing the internal priority coefficient corresponding to each residual building engineering to be analyzed according to the related information first characteristic representation and the residual information first characteristic representation.

In some preferred embodiments, in the above information processing method for engineering quality detection, the step of extracting the first characteristic representation of the engineering data analyzed according to the construction description data to be analyzed of each of the construction projects to be analyzed includes:

loading the construction project description data to be analyzed of each construction project to be analyzed so as to load the construction data coding network formed by network optimization;

Carrying out information mining operation on the construction project description data to be analyzed of each construction project to be analyzed by utilizing an engineering data mining sub-network in the engineering data coding network so as to output a corresponding engineering data first characteristic representation;

the engineering data coding network is formed by network optimization based on a typical engineering data cluster, wherein typical engineering data in the typical engineering data cluster comprises to-be-analyzed building engineering description data of a typical to-be-analyzed building engineering, and an actual engineering quality detection priority and an actual internal priority coefficient corresponding to the typical to-be-analyzed building engineering.

In some preferred embodiments, in the above information processing method for engineering quality detection, the engineering data encoding network further includes an analysis output sub-network and a linear processing sub-network;

the step of performing a related information mining operation according to the first feature representation of the engineering data and the first feature representation of the analysis condition to output the related information first feature representation between each of the confirmed construction projects includes:

loading the first characteristic representation of the engineering data to an analysis output sub-network included in the engineering data coding network, multiplying the first characteristic representation of the engineering data and the first characteristic representation of the analysis condition by using the analysis output sub-network, and outputting the first characteristic representation of the related information between each of the confirmed building projects;

The step of performing information mining operation according to the first feature representation of the engineering data and the first feature representation of the analysis state to output the first feature representation of the residual information corresponding to each of the residual building engineering to be analyzed, includes:

multiplying the first characteristic representation of the engineering data and the first characteristic representation of the analysis state according to the analysis output sub-network, and outputting the first characteristic representation of the residual information which corresponds to each residual building engineering to be analyzed;

the step of analyzing the internal priority coefficient corresponding to each of the remaining building projects to be analyzed according to the related information first characteristic representation and the remaining information first characteristic representation comprises the following steps:

and carrying out linear processing on the first characteristic representation of the cascade combination formed by cascade combination of the first characteristic representation of the related information and the first characteristic representation of the residual information by utilizing a linear processing sub-network, and outputting the corresponding internal priority coefficient of each residual building engineering to be analyzed.

In some preferred embodiments, in the above information processing method for engineering quality detection, the network optimization of the engineering data encoding network includes:

Performing multi-stage network optimization on the engineering data coding network based on the typical engineering data in the typical engineering data cluster, and obtaining an optimized engineering data coding network after the network optimization processing is finished, wherein the network optimization of one stage comprises:

determining a typical engineering data combination in the typical engineering data cluster;

loading to-be-analyzed building engineering description data, current confirmed typical building engineering clusters and remaining typical to-be-analyzed building engineering clusters of each typical to-be-analyzed building engineering in the typical engineering data combination, and the confirmed typical building engineering clusters and the remaining typical to-be-analyzed building engineering clusters in the later stage to be loaded into an engineering data coding network, wherein the confirmed typical building engineering clusters and the remaining typical to-be-analyzed building engineering clusters are obtained according to the actual engineering quality detection priority analysis;

performing information mining operation on the construction project description data to be analyzed of each typical construction project to be analyzed by utilizing an engineering data mining sub-network in the engineering data coding network so as to output a second characteristic representation of the engineering data of the typical engineering data combination;

Loading the second characteristic representation of the engineering data to be loaded into an analysis output sub-network in the engineering data coding network, so as to analyze the first analysis value of the internal priority coefficient corresponding to each of the current residual typical construction engineering to be analyzed in the residual typical construction engineering cluster to be analyzed by utilizing the analysis output sub-network, and analyze the second analysis value of the internal priority coefficient corresponding to each of the residual typical construction engineering to be analyzed in the residual typical construction engineering cluster in the later stage;

and calculating a target error parameter according to the first analysis value of the internal priority coefficient, the second analysis value of the internal priority coefficient and the corresponding actual internal priority coefficient, and carrying out network optimization on the engineering data coding network based on the target error parameter.

In some preferred embodiments, in the above information processing method for engineering quality detection, the determining process for identifying a typical building engineering cluster and the remaining typical building engineering clusters to be analyzed includes:

in the typical engineering data combination, marking one randomly determined typical engineering data to form typical engineering data to be processed;

Determining a current confirmed typical construction project cluster based on the actual construction quality detection priority and each typical construction project to be analyzed before the typical construction projects in the typical construction data to be processed, and determining a current remaining typical construction project cluster to be analyzed according to the typical construction projects in other typical construction data;

and determining a confirmed typical construction engineering cluster of the later stage based on the actual construction quality detection priority, the typical construction engineering to be analyzed in the typical construction data to be processed and each typical construction engineering to be analyzed before the typical construction engineering to be analyzed, and determining the rest typical construction engineering clusters to be analyzed of the later stage according to the typical construction engineering to be analyzed in other typical construction data.

In some preferred embodiments, in the above information processing method for engineering quality inspection, the analysis output sub-network includes a first analysis output unit and a second analysis output unit;

the step of loading the second characteristic representation of the engineering data to be loaded into an analysis output sub-network in the engineering data coding network, so as to analyze the first analysis value of the internal priority coefficient corresponding to each of the remaining typical construction projects in the current remaining typical construction project clusters to be analyzed by using the analysis output sub-network, and analyze the second analysis value of the internal priority coefficient corresponding to each of the remaining typical construction projects in the remaining typical construction project clusters in the later stage, includes:

Performing a focusing characteristic analysis operation after multiplying the engineering data second characteristic representation and the analysis condition second characteristic representation by using the first analysis output unit so as to output a related information second characteristic representation between each of the current confirmed typical construction projects, wherein the related information second characteristic representation is used for reflecting content related information between each of the current confirmed typical construction projects, and each characteristic representation parameter in the analysis condition second characteristic representation is used for reflecting whether the to-be-analyzed construction projects in the corresponding typical engineering data combination have analyzed the engineering quality detection priority;

determining a second characteristic representation of the engineering data and a second characteristic representation of analysis state by using the first analysis output unit, wherein the second characteristic representation of the residual information is formed by multiplying the second characteristic representation of the engineering data and the second characteristic representation of the analysis state, the second characteristic representation of the residual information is used for showing the engineering data information of each residual typical construction engineering to be analyzed at present, and each characteristic representation parameter in the second characteristic representation of the analysis state is used for reflecting whether the construction engineering to be analyzed in the corresponding typical engineering data combination has no engineering quality detection priority;

Performing linear processing on a cascade combination second characteristic representation formed by cascade combination of the related information second characteristic representation and the residual information second characteristic representation by utilizing a linear processing sub-network in the first analysis output unit, and outputting a first analysis value of an internal priority coefficient corresponding to each residual typical building project to be analyzed in the current residual typical building project cluster to be analyzed;

performing a focusing characteristic analysis operation after multiplying the engineering data second characteristic representation and the analysis condition third characteristic representation by using the second analysis output unit to output a third characteristic representation of related information between each confirmed typical building engineering in a confirmed typical building engineering cluster of a later stage, wherein the third characteristic representation of related information is used for reflecting content related information between each confirmed typical building engineering of the later stage, and each characteristic representation parameter in the analysis condition third characteristic representation is used for reflecting whether to-be-analyzed building engineering in the typical engineering data combination corresponding to the later stage has analyzed an engineering quality detection priority;

determining, by using the second analysis output unit, a third feature representation of remaining information formed by multiplying the second feature representation of the engineering data and a third feature representation of an analysis state, where the third feature representation of remaining information is used to reflect engineering data information of each remaining typical construction project to be analyzed in a later stage, and each feature representation parameter in the third feature representation of the analysis state is used to reflect whether a construction project to be analyzed in the typical construction data combination corresponding to the later stage has not analyzed a quality detection priority of the engineering;

And carrying out linear processing on a third characteristic representation of a cascade combination formed by the third characteristic representation of the related information and the third characteristic representation of the residual information by utilizing a linear processing sub-network in the second analysis output unit, and outputting a second analysis value of an internal priority coefficient corresponding to each residual typical building engineering to be analyzed in the residual typical building engineering cluster of the later stage.

The embodiment of the invention also provides an information processing system for engineering quality detection, which comprises:

the description data determining module is used for determining the description data of the building engineering to be analyzed of each building engineering to be analyzed in the building engineering cluster to be analyzed, and the building engineering cluster to be analyzed comprises a plurality of building engineering to be analyzed;

the detection priority analysis module is used for analyzing the engineering quality detection priority of each building engineering to be analyzed based on the form of sequentially rotating and executing target operation according to the building engineering description data to be analyzed of each building engineering to be analyzed, and executing the target operation once comprises the following steps:

In some preferred embodiments, in the above information processing system for engineering quality inspection, the inspection priority analysis module is specifically configured to:

In some preferred embodiments, in the above information processing system for engineering quality detection, the extracting the first characteristic representation of the engineering data analyzed according to the construction description data to be analyzed of each of the construction projects to be analyzed includes:

The information processing method and the system for engineering quality detection provided by the embodiment of the invention can obtain the corresponding current detection priority based on the confirmation of the building engineering cluster; obtaining each residual building engineering to be analyzed, of which the engineering quality detection priority is not determined, from the residual building engineering clusters to be analyzed; according to the construction project description data to be analyzed of each construction project to be analyzed, the construction project clusters and the rest construction project clusters to be analyzed are confirmed, and the corresponding internal priority coefficient of each rest construction project to be analyzed is analyzed; and determining at least one residual building engineering to be analyzed in the residual building engineering cluster to be analyzed based on the internal priority coefficient, and taking the current detection priority as the engineering quality detection priority of the at least one residual building engineering to be analyzed. Based on the above, the engineering quality detection priority is performed according to the information such as the construction engineering description data to be analyzed, so that compared with the conventional technical scheme for arbitrarily determining the detection priority, the reliability of priority determination in engineering quality detection can be improved, and the problem of low reliability in the prior art is solved.

In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

Fig. 1 is a block diagram of an information processing platform for engineering quality detection according to an embodiment of the present invention.

Fig. 2 is a schematic flow chart of steps included in an information processing method for engineering quality detection according to an embodiment of the present invention.

Fig. 3 is a schematic diagram of each module included in the information processing system for engineering quality detection according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

As shown in fig. 1, the embodiment of the invention provides an information processing platform for engineering quality detection. The information processing platform for engineering quality detection can comprise a memory and a processor, or can also comprise other devices and the like.

In detail, the memory and the processor are electrically connected directly or indirectly to realize transmission or interaction of data. For example, electrical connection may be made to each other via one or more communication buses or signal lines. The memory may store at least one software functional module (computer program) that may exist in the form of software or firmware. The processor may be configured to execute an executable computer program stored in the memory, thereby implementing an information processing method for engineering quality inspection provided by an embodiment of the present invention (as described later).

Alternatively, in some embodiments, the Memory may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like.

Alternatively, in some embodiments, the processor may be a general purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a System on Chip (SoC), etc.; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

Alternatively, in some embodiments, the information processing platform for engineering quality inspection may be a server with data processing capabilities.

With reference to fig. 2, the embodiment of the invention further provides an information processing method for engineering quality detection, which can be applied to the information processing platform for engineering quality detection. The method steps defined by the flow related to the information processing method for engineering quality detection can be realized by the information processing platform for engineering quality detection.

The specific flow shown in fig. 2 will be described in detail.

And step S110, determining the construction project description data to be analyzed of each construction project to be analyzed in the construction project clusters to be analyzed.

In the embodiment of the invention, the information processing platform for engineering quality detection can determine the construction engineering description data to be analyzed of each construction engineering to be analyzed in the construction engineering cluster to be analyzed. The building engineering cluster to be analyzed comprises a plurality of building engineering to be analyzed. The construction engineering description data to be analyzed can be text data, image data and the like.

And step S120, analyzing the project quality detection priority of each building project to be analyzed based on the form of sequentially rotating and executing target operation according to the building project description data to be analyzed of each building project to be analyzed.

In the embodiment of the invention, the information processing platform for detecting the engineering quality can analyze the engineering quality detection priority of each construction project to be analyzed according to the construction project description data to be analyzed of each construction project to be analyzed and based on the form of sequentially and alternately executing the target operation. Wherein performing the target operation once may include the steps of:

firstly, obtaining corresponding current detection priorities based on a confirmation building engineering cluster, wherein the confirmation building engineering cluster comprises each confirmation building engineering with the determined engineering quality detection priorities, and the current detection priorities are highest detection priorities except the engineering quality detection priorities of each confirmation building engineering which are determined at present; secondly, obtaining each residual building engineering to be analyzed, of which the engineering quality detection priority is not determined, from the residual building engineering clusters to be analyzed; then, analyzing the internal priority coefficient corresponding to each residual building engineering to be analyzed according to the building engineering description data to be analyzed, the confirmed building engineering cluster and the residual building engineering clusters to be analyzed of each building engineering to be analyzed; and finally, determining at least one residual building project to be analyzed (such as one or more of the maximum internal priority coefficients) in the residual building project cluster to be analyzed based on the internal priority coefficients, and taking the current detection priority as the project quality detection priority of the at least one residual building project to be analyzed.

Based on the above, that is, the step S110 and the step S120, the engineering quality detection priority is performed according to the information such as the construction engineering description data to be analyzed, so that compared with the conventional technical scheme of arbitrarily determining the detection priority, the reliability of determining the priority in the engineering quality detection can be improved, thereby improving the problem of low reliability in the prior art.

Optionally, in some embodiments, the step of analyzing the internal priority coefficient corresponding to each of the remaining building projects to be analyzed according to the building project description data to be analyzed, the confirmed building project cluster and the remaining building project clusters to be analyzed of each of the building projects to be analyzed may further include the following steps:

Optionally, in some embodiments, the step of extracting the first feature representation of the engineering data analyzed according to the construction description data to be analyzed of each of the construction projects to be analyzed may further include the following:

loading the construction project description data to be analyzed of each construction project to be analyzed, wherein the construction project description data to be analyzed of each construction project to be analyzed is loaded to an engineering data coding network formed through network optimization, the engineering data coding network is formed through network optimization based on a typical engineering data cluster, and typical engineering data in the typical engineering data cluster comprises the construction project description data to be analyzed of a typical construction project to be analyzed, and an actual project quality detection priority and an actual internal priority coefficient corresponding to the typical construction project to be analyzed;

And performing information mining operation on the construction project description data to be analyzed of each construction project to be analyzed by utilizing the construction data mining sub-network in the construction data coding network so as to output a corresponding first characteristic representation of the construction data, namely mapping the construction project description data to be analyzed into a characteristic space to form a corresponding first characteristic representation of the construction data.

Optionally, in some embodiments, the engineering data encoding network further includes an analysis output sub-network and a linear processing sub-network, based on which the step of performing a relevant information mining operation according to the engineering data first feature representation and the analysis case first feature representation to output a relevant information first feature representation between each of the confirmed building projects may further include the following: and loading the first characteristic representation of the engineering data to an analysis output sub-network included in the engineering data coding network, multiplying the first characteristic representation of the engineering data and the first characteristic representation of the analysis condition by using the analysis output sub-network, and outputting the first characteristic representation of the related information between each of the confirmed building projects.

And on the basis of the above, the step of performing an information mining operation according to the first feature representation of the engineering data and the first feature representation of the analysis state to output the first feature representation of the remaining information commonly corresponding to each of the remaining building projects to be analyzed may further include the following: and multiplying the first characteristic representation of the engineering data and the first characteristic representation of the analysis state according to the analysis output sub-network, and outputting the first characteristic representation of the residual information which corresponds to each residual building engineering to be analyzed.

And on the basis of the above, the step of analyzing the internal priority coefficient corresponding to each of the remaining building projects to be analyzed according to the related information first feature representation and the remaining information first feature representation may further include the following:

and performing linear processing on the cascade combination first characteristic representation formed by cascade combination of the related information first characteristic representation and the residual information first characteristic representation by using a linear processing sub-network, for example, performing excitation mapping output through a softmax function, and outputting an internal priority coefficient corresponding to each residual building project to be analyzed, wherein the cascade combination can be that the combination is performed in dimensions, so that the number of dimensions of the cascade combination first characteristic representation is equal to the sum value of the number of dimensions of the related information first characteristic representation and the number of dimensions of the residual information first characteristic representation.

Optionally, in some embodiments, the network optimization of the engineering data encoding network may further include the following:

and carrying out multi-stage network optimization on the engineering data coding network based on the typical engineering data in the typical engineering data cluster, and obtaining an optimized engineering data coding network after the network optimization processing is finished.

Wherein, the network optimization of one stage can further comprise the following contents:

loading to-be-analyzed building engineering description data, current confirmed typical building engineering clusters and remaining typical to-be-analyzed building engineering clusters of each typical to-be-analyzed building engineering in the typical engineering data combination, and the confirmed typical building engineering clusters and the remaining typical to-be-analyzed building engineering clusters in the later stage to be loaded into an engineering data coding network, wherein the confirmed typical building engineering clusters and the remaining typical to-be-analyzed building engineering clusters are obtained according to actual engineering quality detection priority analysis;

calculating a target error parameter based on the first analysis value of the internal priority coefficient, the second analysis value of the internal priority coefficient and the corresponding actual internal priority coefficient (the difference between them), and performing network optimization on the engineering data encoding network based on the target error parameter, such as performing network optimization along a direction of reducing the target error parameter.

Optionally, in some embodiments, the determining process of the identifying a typical building engineering cluster and the remaining typical building engineering clusters to be analyzed may further include the following:

Optionally, in some embodiments, the analysis output sub-network includes a first analysis output unit and a second analysis output unit, based on which the step of loading the second feature representation of the engineering data to be loaded into the analysis output sub-network in the engineering data encoding network, so as to analyze, by using the analysis output sub-network, a first analysis value of an internal priority coefficient corresponding to each of the remaining typical to-be-analyzed building projects in the current remaining typical to-be-analyzed building project cluster, and analyze a second analysis value of an internal priority coefficient corresponding to each of the remaining typical to-be-analyzed building projects in the remaining typical to-be-analyzed building project in the subsequent stage may further include:

Performing a focusing characteristic analysis operation after multiplying the engineering data second characteristic representation and the analysis condition second characteristic representation by using the first analysis output unit to output a related information second characteristic representation between each of the current confirmed typical construction projects, wherein the related information second characteristic representation is used for reflecting content related information (namely relation among the confirmed typical construction projects) between each of the current confirmed typical construction projects, and each characteristic representation parameter in the analysis condition second characteristic representation is used for reflecting whether to-be-analyzed construction projects in the corresponding typical engineering data combination have analyzed engineering quality detection priority;

Wherein optionally, in some embodiments, the step of calculating a target error parameter according to the first analysis value of the internal priority coefficient, the second analysis value of the internal priority coefficient and the corresponding actual internal priority coefficient, and performing network optimization on the engineering data encoding network based on the target error parameter may further include the following steps:

according to the difference between the reference priority coefficient in the first analysis value of each internal priority coefficient and the maximum value in the second analysis value of each internal priority coefficient, and combining the corresponding actual internal priority coefficient, calculating a corresponding target error parameter, wherein the reference priority coefficient belongs to the first analysis value of the internal priority coefficient corresponding to the typical construction engineering to be analyzed in the typical engineering data to be processed.

With reference to fig. 3, the embodiment of the invention further provides an information processing system for engineering quality detection, which can be applied to the information processing platform for engineering quality detection. Wherein, the information processing system for engineering quality detection may include:

Optionally, in some embodiments, the detection priority analysis module is specifically configured to: extracting a first characteristic representation of engineering data analyzed according to the construction project description data to be analyzed of each construction project to be analyzed; performing related information mining operation according to the first characteristic representation of the engineering data and the first characteristic representation of analysis conditions to output the first characteristic representation of the related information between each of the confirmed constructional engineering, wherein the first characteristic representation of the related information is used for reflecting content correlation information between each of the confirmed constructional engineering, the first characteristic representation of the analysis conditions is obtained according to analysis of each of the confirmed constructional engineering, and each characteristic representation parameter in the first characteristic representation of the analysis conditions is used for reflecting whether the corresponding constructional engineering to be analyzed has analyzed a corresponding engineering quality detection priority; performing information mining operation according to the first characteristic representation of the engineering data and the first characteristic representation of the analysis state to output the first characteristic representation of the residual information, which corresponds to each residual building engineering to be analyzed in common, wherein the first characteristic representation of the residual information is used for reflecting engineering data information of each residual building engineering to be analyzed, the first characteristic representation of the analysis state is obtained according to analysis of each residual building engineering to be analyzed, and each characteristic representation parameter in the first characteristic representation of the analysis state is used for reflecting whether the corresponding building engineering to be analyzed has no engineering quality detection priority; and analyzing the internal priority coefficient corresponding to each residual building engineering to be analyzed according to the related information first characteristic representation and the residual information first characteristic representation.

Optionally, in some embodiments, the extracting the first feature representation of the engineering data analyzed according to the building engineering description data to be analyzed of each building engineering to be analyzed includes: loading the construction project description data to be analyzed of each construction project to be analyzed so as to load the construction data coding network formed by network optimization; carrying out information mining operation on the construction project description data to be analyzed of each construction project to be analyzed by utilizing an engineering data mining sub-network in the engineering data coding network so as to output a corresponding engineering data first characteristic representation; the engineering data coding network is formed by network optimization based on a typical engineering data cluster, wherein typical engineering data in the typical engineering data cluster comprises to-be-analyzed building engineering description data of a typical to-be-analyzed building engineering, and an actual engineering quality detection priority and an actual internal priority coefficient corresponding to the typical to-be-analyzed building engineering.

In summary, the information processing method and system for engineering quality detection provided by the invention can obtain the corresponding current detection priority based on the confirmation of the construction engineering cluster; obtaining each residual building engineering to be analyzed, of which the engineering quality detection priority is not determined, from the residual building engineering clusters to be analyzed; according to the construction project description data to be analyzed of each construction project to be analyzed, the construction project clusters and the rest construction project clusters to be analyzed are confirmed, and the corresponding internal priority coefficient of each rest construction project to be analyzed is analyzed; and determining at least one residual building engineering to be analyzed in the residual building engineering cluster to be analyzed based on the internal priority coefficient, and taking the current detection priority as the engineering quality detection priority of the at least one residual building engineering to be analyzed. Based on the above, the engineering quality detection priority is performed according to the information such as the construction engineering description data to be analyzed, so that compared with the conventional technical scheme for arbitrarily determining the detection priority, the reliability of priority determination in engineering quality detection can be improved, and the problem of low reliability in the prior art is solved.

The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An information processing method for engineering quality detection, characterized by comprising the following steps:

2. The information processing method for engineering quality inspection according to claim 1, wherein the step of analyzing the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on construction description data to be analyzed, the confirmed construction cluster, and the remaining construction clusters of each of the construction projects to be analyzed, comprises:

3. The information processing method for engineering quality inspection according to claim 2, wherein the step of extracting the first characteristic representation of the engineering data analyzed in accordance with the construction description data to be analyzed of each of the construction projects to be analyzed includes:

4. An information processing method for engineering quality inspection according to claim 3, characterized in that the engineering data encoding network further comprises an analysis output sub-network and a linear processing sub-network;

5. An information processing method for engineering quality inspection according to claim 3, characterized in that the network optimization of the engineering data encoding network comprises:

6. The information processing method for engineering quality inspection according to claim 5, wherein the determining process of confirming a typical construction cluster and the remaining typical construction clusters to be analyzed includes:

7. The information processing method for engineering quality inspection according to claim 5, wherein the analysis output sub-network includes a first analysis output unit and a second analysis output unit;

8. An information processing system for engineering quality inspection, comprising:

9. The information handling system for project quality inspection of claim 8, wherein the inspection priority analysis module is specifically configured to:

10. The information handling system for project quality inspection according to claim 9, wherein said extracting a first characteristic representation of project data analyzed from the construction description data to be analyzed of each of said construction projects to be analyzed comprises: