CN117236764A - An information processing method and system for engineering quality inspection - Google Patents

Abstract

The invention provides an information processing method and system for engineering quality detection, which relates to the technical field of data processing. In the present invention, based on the confirmed construction project cluster, the corresponding current detection priority is obtained; from the remaining construction project clusters to be analyzed, each remaining construction project to be analyzed for which the project quality detection priority has not yet been determined is obtained; according to each The description data of the construction project to be analyzed, the confirmed construction project clusters and the remaining construction project clusters to be analyzed are used to analyze the internal priority coefficient corresponding to each remaining construction project to be analyzed; based on the internal priority coefficient, among the remaining construction projects to be analyzed In the cluster, at least one remaining construction project to be analyzed is determined, and the current detection priority is used as the project quality detection priority of at least one remaining construction project to be analyzed. Based on the above method, the reliability of priority determination in engineering quality inspection can be improved.

Description

An information processing method and system for engineering quality inspection

Technical field

The present invention relates to the field of data processing technology, and specifically to an information processing method and system for engineering quality detection.

Background technique

Project quality inspection is an important means in the field of engineering applications. Therefore, in the existing technology, construction project data is generally analyzed to determine the corresponding project quality, and in the existing technology, it may be When encountering a large amount of concurrency, that is, the quality of more construction projects needs to be analyzed. Therefore, the corresponding priority needs to be determined. For example, first perform a quality analysis on construction project 1, and then analyze the quality of construction project 2. However, in the prior art, the priority of analysis is generally determined arbitrarily, making its reliability low.

Contents of the invention

In view of this, the purpose of the present invention is to provide an information processing method and system for engineering quality inspection, so as to improve the reliability of priority determination in engineering quality inspection.

In order to achieve the above objects, the embodiments of the present invention adopt the following technical solutions:

An information processing method for engineering quality inspection, including:

Determine the construction project description data to be analyzed for each construction project to be analyzed in the construction project cluster to be analyzed, where the construction project cluster to be analyzed includes multiple construction projects to be analyzed;

Based on the description data of the construction project to be analyzed for each of the construction projects to be analyzed, and based on the form of executing the target operation in sequence, the project quality inspection priority of each of the construction projects to be analyzed is analyzed, and executing the target operation once includes :

Based on the confirmed construction project cluster, the corresponding current detection priority is obtained. The confirmed construction project cluster includes each confirmed construction project for which the project quality detection priority has been determined. The current detection priority is for each confirmed construction project that has been determined so far. A confirmation of the highest inspection priority other than the engineering quality inspection priority of the construction project;

From the cluster of remaining construction projects to be analyzed, each remaining construction project to be analyzed for which the project quality inspection priority has not yet been determined is obtained;

Analyze the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the construction project description data to be analyzed, the confirmed construction project clusters and the remaining construction project clusters to be analyzed;

Based on the internal priority coefficient, in the cluster of remaining construction projects to be analyzed, at least one remaining construction project to be analyzed is determined, and the current detection priority is used as the project quality detection of the at least one remaining construction project to be analyzed. priority.

In some preferred embodiments, in the above information processing method for project quality detection, the construction project description data to be analyzed based on each of the construction projects to be analyzed, the confirmed construction project cluster and the remaining For the cluster of construction projects to be analyzed, the steps of analyzing the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed include:

Extract the first characteristic representation of the project data analyzed based on the description data of the construction project to be analyzed for each of the construction projects to be analyzed;

Perform related information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects, and the first characteristic representation of the relevant information is expressed by In order to reflect the content correlation information between each of the confirmed construction projects, the first characteristic representation of the analysis situation is obtained based on the analysis of each of the confirmed construction projects, and each characteristic representation in the first characteristic representation of the analysis situation is The parameters are used to reflect whether the corresponding construction project to be analyzed has analyzed the corresponding project quality inspection priority;

Perform an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first characteristic representation of the remaining information corresponding to each of the remaining construction projects to be analyzed, and the first characteristic representation of the remaining information Used to reflect the project data information of each of the remaining construction projects to be analyzed, the first characteristic representation of the analysis status is obtained based on the analysis of each of the remaining construction projects to be analyzed, and each of the first characteristic representations of the analysis status The feature representation parameters are used to reflect whether the corresponding construction project to be analyzed has not yet analyzed the project quality inspection priority;

Based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information, the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed is analyzed.

In some preferred embodiments, in the above information processing method for project quality detection, the first feature representation of the project data analyzed based on the construction project description data to be analyzed of each of the construction projects to be analyzed is extracted. The steps include:

Load the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to the engineering data encoding network formed through network optimization;

Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to output the corresponding first feature representation of the engineering data;

The engineering data encoding network is formed based on network optimization of typical engineering data clusters. The typical engineering data in the typical engineering data cluster includes the to-be-analyzed construction project description data of the typical to-be-analyzed construction project and the corresponding to the typical to-be-analyzed construction project. Actual project quality inspection priority and actual internal priority coefficient.

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

The step of performing relevant information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects includes:

The first characteristic representation of the engineering data is loaded into the analysis output sub-network included in the engineering data encoding network, so as to use the analysis output sub-network to analyze the first characteristic representation of the engineering data and the first analysis situation. A feature representation performs a multiplication operation to output the first feature representation of relevant information between each of the confirmed construction projects;

The step of performing an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first characteristic representation of the remaining information corresponding to each of the remaining construction projects to be analyzed includes:

According to the analysis output sub-network, a multiplication operation is performed on the first feature representation of the project data and the first feature representation of the analysis status, and a first feature representation of the remaining information corresponding to each of the remaining construction projects to be analyzed is output;

The step of analyzing the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information includes:

Using a linear processing sub-network, linearly process the first feature representation of the cascade combination formed by cascading the first feature representation of the relevant information and the first feature representation of the remaining information, and output each of the remaining buildings to be analyzed. The internal priority coefficient corresponding to the project.

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

Based on the typical engineering data in the typical engineering data cluster, the engineering data encoding network is subjected to multi-stage network optimization, and after the network optimization process is completed, the optimized engineering data encoding network is obtained. One stage of network optimization includes:

Determine typical engineering data combinations in the typical engineering data clusters;

The description data of the construction project to be analyzed for each typical construction project to be analyzed in the typical project data combination, the current confirmed typical construction project clusters and the remaining typical construction project clusters to be analyzed, and the confirmed typical construction projects in the later stage Clusters and remaining typical construction project clusters to be analyzed are loaded to be loaded into the engineering data encoding network. The confirmed typical construction project clusters and the remaining typical construction project clusters to be analyzed are obtained based on the actual project quality detection priority analysis;

Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the construction project description data to be analyzed of each of the typical construction projects to be analyzed, so as to output the second engineering data of the typical engineering data combination. Feature representation;

The second characteristic representation of the engineering data is loaded to the analysis output sub-network in the engineering data encoding network, so as to use the analysis output sub-network to analyze each remaining typical construction project cluster to be analyzed. The first analysis value of the internal priority coefficient corresponding to a remaining typical construction project to be analyzed is analyzed, and the second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the subsequent stage is analyzed;

Calculate a target error parameter based on the first analytical value of the internal priority coefficient, the second analytical value of the internal priority coefficient and the corresponding actual internal priority coefficient, and, based on the target error parameter, encode the engineering data into the network Perform network optimization.

In some preferred embodiments, in the above information processing method for project quality detection, the determination process of confirming typical construction project clusters and the remaining typical construction project clusters to be analyzed includes:

In the typical engineering data combination, a randomly determined typical engineering data is marked for processing to form typical engineering data to be processed;

Based on the actual project quality detection priority and each typical construction project to be analyzed before the typical construction project to be analyzed in the typical project data to be processed, the current confirmed typical construction project cluster is determined, and based on other typical construction projects Typical construction projects to be analyzed in the engineering data are used to determine the remaining typical construction project clusters to be analyzed;

Based on the actual project quality inspection priority, the typical construction projects to be analyzed in the typical project data to be processed, and each typical construction project to be analyzed before the typical construction projects to be analyzed, the confirmation typical of the later stage is determined construction project clusters, and, based on the typical construction projects to be analyzed in other typical project data, the remaining typical construction project clusters to be analyzed in the later stage are determined.

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 second characteristic representation of the engineering data is loaded to the analysis output sub-network in the engineering data encoding network, so as to use the analysis output sub-network to analyze the current remaining typical construction engineering clusters to be analyzed. The first analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster is analyzed, and the second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the subsequent stage is analyzed. Value steps include:

Using the first analysis output unit, after multiplying the second feature representation of the project data and the second feature representation of the analysis situation, a focused feature analysis operation is performed to output each confirmation in the current confirmed typical construction project cluster. The second characteristic representation of related information between typical construction projects, the second characteristic representation of related information is used to reflect the current content correlation information between each confirmed typical construction project, and the second characteristic representation of the analysis situation Each feature representation parameter is used to reflect whether the construction project to be analyzed in the corresponding typical project data combination has been analyzed and the project quality inspection priority has been analyzed;

The first analysis output unit is used to determine the second characteristic representation of the remaining information formed by multiplying the second characteristic representation of the engineering data and the second characteristic representation of the analysis status, and the second characteristic representation of the remaining information is used to project the current The engineering data information of each remaining typical construction project to be analyzed, and each characteristic representation parameter in the second characteristic representation of the analysis status is used to reflect whether the construction project to be analyzed in the corresponding typical engineering data combination has not yet been analyzed. Quality inspection priority;

Utilize the linear processing sub-network in the first analysis output unit to linearly process the second feature representation of the cascade combination formed by the cascade combination of the second feature representation of the relevant information and the second feature representation of the remaining information, and output The first analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the current cluster of remaining typical construction projects to be analyzed;

The second analysis output unit is used to perform a multiplication operation on the second feature representation of the engineering data and the third feature representation of the analysis situation, and then perform a focused feature analysis operation to output each confirmed typical construction project cluster in the latter stage. A third feature representation of the relevant information between confirmed typical construction projects. The third feature representation of the relevant information is used to reflect the content correlation information between each confirmed typical construction project in the subsequent stage. The third analysis situation Each feature representation parameter in the feature representation is used to reflect whether the construction project to be analyzed in the typical project data combination corresponding to the later stage has been analyzed and the project quality detection priority has been analyzed;

The second analysis output unit is used to determine the third characteristic representation of the remaining information formed by multiplying the second characteristic representation of the engineering data and the third characteristic representation of the analysis status, and the third characteristic representation of the remaining information is used to reflect the subsequent Engineering data information of each remaining typical construction project to be analyzed in one stage, and each feature representation parameter in the third characteristic representation of the analysis state is used to reflect the building to be analyzed in the typical engineering data combination corresponding to the subsequent stage. Whether the project has not yet analyzed the project quality inspection priorities;

Utilize the linear processing sub-network in the second analysis output unit to linearly process the third feature representation of the cascade combination formed by the cascade combination of the third feature representation of the relevant information and the third feature representation of the remaining information, and output The second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the later stage.

Embodiments of the present invention also provide an information processing system for engineering quality detection, including:

The description data determination module is used to determine the construction project description data to be analyzed for each construction project to be analyzed in the construction project cluster to be analyzed, where the construction project cluster to be analyzed includes multiple construction projects to be analyzed;

The detection priority analysis module is used to analyze the project quality detection priority of each of the construction projects to be analyzed based on the description data of the construction project to be analyzed and based on the form of executing target operations in sequence. , performing the target operation once includes:

Based on the confirmed construction project cluster, the corresponding current detection priority is obtained. The confirmed construction project cluster includes each confirmed construction project for which the project quality detection priority has been determined. The current detection priority is for each confirmed construction project that has been determined so far. A confirmation of the highest inspection priority other than the engineering quality inspection priority of the construction project;

From the cluster of remaining construction projects to be analyzed, each remaining construction project to be analyzed for which the project quality inspection priority has not yet been determined is obtained;

Analyze the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the construction project description data to be analyzed, the confirmed construction project clusters and the remaining construction project clusters to be analyzed;

Based on the internal priority coefficient, in the cluster of remaining construction projects to be analyzed, at least one remaining construction project to be analyzed is determined, and the current detection priority is used as the project quality detection of the at least one remaining construction project to be analyzed. priority.

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

Extract the first characteristic representation of the project data analyzed based on the description data of the construction project to be analyzed for each of the construction projects to be analyzed;

Perform related information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects, and the first characteristic representation of the relevant information is expressed by In order to reflect the content correlation information between each of the confirmed construction projects, the first characteristic representation of the analysis situation is obtained based on the analysis of each of the confirmed construction projects, and each characteristic representation in the first characteristic representation of the analysis situation is The parameters are used to reflect whether the corresponding construction project to be analyzed has analyzed the corresponding project quality inspection priority;

Perform an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first characteristic representation of the remaining information corresponding to each of the remaining construction projects to be analyzed, and the first characteristic representation of the remaining information Used to reflect the project data information of each of the remaining construction projects to be analyzed, the first characteristic representation of the analysis status is obtained based on the analysis of each of the remaining construction projects to be analyzed, and each of the first characteristic representations of the analysis status The feature representation parameters are used to reflect whether the corresponding construction project to be analyzed has not yet analyzed the project quality inspection priority;

Based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information, the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed is analyzed.

In some preferred embodiments, in the above-mentioned information processing system for project quality detection, the first feature representation of the project data analyzed based on the construction project description data to be analyzed of each of the construction projects to be analyzed is extracted. ,include:

Load the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to the engineering data encoding network formed through network optimization;

Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to output the corresponding first feature representation of the engineering data;

The engineering data encoding network is formed based on network optimization of typical engineering data clusters. The typical engineering data in the typical engineering data cluster includes the to-be-analyzed construction project description data of the typical to-be-analyzed construction project and the corresponding to the typical to-be-analyzed construction project. Actual project quality inspection priority and actual internal priority coefficient.

An information processing method and system for project quality detection provided by embodiments of the present invention can obtain the corresponding current detection priority based on confirmed construction project clusters; and obtain undetermined projects from the remaining construction project clusters to be analyzed. Each remaining construction project to be analyzed in the quality inspection priority; based on the construction project description data to be analyzed, the confirmed construction project cluster and the remaining construction project clusters to be analyzed, the corresponding correspondence of each remaining construction project to be analyzed is analyzed based on the internal priority coefficient, determine at least one remaining construction project to be analyzed in the cluster of remaining construction projects to be analyzed, and use the current detection priority as the project quality detection priority of at least one remaining construction project to be analyzed. Based on the above content, since the project quality detection priority is based on information such as the construction project description data to be analyzed, compared with the conventional technical solution of arbitrarily determining the detection priority, the reliability of priority determination in project quality detection can be improved. Thus, the problem of low reliability existing in the existing technology is improved.

In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, preferred embodiments are given below and described in detail with reference to the accompanying drawings.

Description of drawings

Figure 1 is a structural block diagram of an information processing platform for engineering quality inspection provided by an embodiment of the present invention.

FIG. 2 is a schematic flowchart of each step included in the information processing method for engineering quality inspection provided by an embodiment of the present invention.

FIG. 3 is a schematic diagram of each module included in the information processing system for engineering quality inspection provided by the embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments These are only some of the embodiments of the present invention, not all of them. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

Therefore, the following detailed description of the embodiments of the invention provided in the appended drawings is not intended to limit the scope of the claimed invention, but rather to represent selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present invention.

As shown in Figure 1, an embodiment of the present invention provides an information processing platform for engineering quality inspection. The information processing platform for engineering quality inspection may include a memory and a processor, or may also include other devices.

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

Optionally, in some implementations, the memory may be, but is not limited to, random access memory (Random Access Memory, RAM), read only memory (Read Only Memory, ROM), programmable read only memory ( Programmable Read-Only Memory (PROM), Erasable ProgrammableRead-Only Memory (EPROM), Electrically Erasable ProgrammableRead-Only Memory (EEPROM), etc.

Optionally, in some implementations, 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 a chip (System on Chip). Chip, SoC), etc.; it can also be a digital signal processor (DSP), application specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

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

With reference to Figure 2, an embodiment of the present invention also provides an information processing method for engineering quality inspection, which can be applied to the above information processing platform for engineering quality inspection. Wherein, the method steps defined by the process related to the information processing method for engineering quality inspection can be implemented by the information processing platform for engineering quality inspection.

The specific process shown in Figure 2 will be elaborated below.

Step S110: Determine the construction project description data to be analyzed for each construction project to be analyzed in the construction project cluster to be analyzed.

In the embodiment of the present invention, the information processing platform for project quality detection can determine the description data of the construction project to be analyzed for each construction project to be analyzed in the cluster of construction projects to be analyzed. The cluster of construction projects to be analyzed includes a plurality of construction projects to be analyzed. The construction project description data to be analyzed may be text data, image data, etc.

Step S120: Analyze the project quality detection priority of each of the construction projects to be analyzed based on the description data of the construction project to be analyzed and based on the form of sequentially rotating target operations.

In the embodiment of the present invention, the information processing platform for project quality detection can analyze each of the construction projects to be analyzed based on the description data of the construction projects to be analyzed and based on the form of sequentially rotating the execution of target operations. Describe the project quality inspection priorities of the construction projects to be analyzed. Wherein, performing the target operation once may include the following steps:

First, the corresponding current detection priority is obtained based on the confirmed construction project cluster. The confirmed construction project cluster includes each confirmed construction project for which the project quality detection priority has been determined. The current detection priority is the currently determined The highest detection priority other than the project quality detection priority of each confirmed construction project; secondly, from the remaining construction project clusters to be analyzed, obtain each remaining construction project to be analyzed that has not yet determined the project quality detection priority; Then, based on the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects, the confirmed construction project clusters and the remaining to-be-analyzed construction project clusters, an internal priority corresponding to each of the remaining to-be-analyzed construction projects is analyzed. coefficient; finally, based on the internal priority coefficient, in the cluster of remaining construction projects to be analyzed, at least one remaining construction project to be analyzed (such as the one or more with the largest internal priority coefficient) is determined, and the The current detection priority is used as the project quality detection priority of the at least one remaining construction project to be analyzed.

Based on the above content, that is, the above-mentioned steps S110 and S120, since the project quality detection priority is based on the construction project description data to be analyzed and other information, the project quality can be improved compared to the conventional technical solution that arbitrarily determines the detection priority. The reliability of priority determination in detection is improved, thereby improving the problem of low reliability existing in the existing technology.

Optionally, in some embodiments, each of the construction projects to be analyzed is analyzed based on the construction project description data to be analyzed, the confirmed construction project clusters and the remaining construction project clusters to be analyzed. The step of determining the internal priority coefficients corresponding to the remaining construction projects to be analyzed may further include the following:

Extract the first characteristic representation of the project data analyzed based on the description data of the construction project to be analyzed for each of the construction projects to be analyzed;

Perform related information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects, and the first characteristic representation of the relevant information is expressed by In order to reflect the content correlation information between each of the confirmed construction projects, the first characteristic representation of the analysis situation is obtained based on the analysis of each of the confirmed construction projects, and each characteristic representation in the first characteristic representation of the analysis situation is The parameters are used to reflect whether the corresponding construction project to be analyzed has analyzed the corresponding project quality inspection priority;

Perform an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first characteristic representation of the remaining information corresponding to each of the remaining construction projects to be analyzed, and the first characteristic representation of the remaining information Used to reflect the project data information of each of the remaining construction projects to be analyzed, the first characteristic representation of the analysis status is obtained based on the analysis of each of the remaining construction projects to be analyzed, and each of the first characteristic representations of the analysis status The feature representation parameters are used to reflect whether the corresponding construction project to be analyzed has not yet analyzed the project quality inspection priority;

Based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information, the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed is analyzed.

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

The to-be-analyzed construction project description data of each of the to-be-analyzed construction projects is loaded to an engineering data encoding network formed through network optimization. The engineering data encoding network is formed based on network optimization of typical engineering data clusters. The typical engineering data in the typical engineering data cluster includes the to-be-analyzed construction project description data of the typical to-be-analyzed construction project and the actual project quality inspection priority and actual internal priority coefficient corresponding to the typical to-be-analyzed construction project;

Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to output the corresponding first feature representation of the engineering data, that is to say , the construction project description data to be analyzed can be mapped into the feature space to form a corresponding first feature representation of the project data.

Optionally, in some embodiments, the engineering data encoding network also includes an analysis output sub-network and a linear processing sub-network. Based on this, the first characteristic representation of the engineering data and the first characteristic representation of the analysis situation are The step of performing a related information mining operation to output a first feature representation of relevant information between each of the confirmed construction projects may further include the following: loading the first feature representation of the project data to load it into the In the analysis output sub-network included in the engineering data encoding network, the analysis output sub-network is used to perform a multiplication operation on the first characteristic representation of the engineering data and the first characteristic representation of the analysis situation, and output the relationship between each of the confirmed construction projects. The first characteristic representation of relevant information.

Moreover, on the basis of the above content, the information mining operation is performed based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first remaining information corresponding to each of the remaining construction projects to be analyzed. The step of feature representation may further include the following: based on the analysis output sub-network, perform a multiplication operation on the first feature representation of the project data and the first feature representation of the analysis status, and output the common features of each of the remaining construction projects to be analyzed. The corresponding first feature representation of the remaining information.

Moreover, on the basis of the above content, the step of analyzing the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information may be Further includes the following:

Using a linear processing sub-network, the first feature representation of the relevant information and the first feature representation of the remaining information are cascaded together to form a cascade combination first feature representation for linear processing, such as excitation mapping output through a softmax function, Output the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed. Exceptionally, the cascade combination may mean combining in dimensions such that the number of dimensions represented by the first feature of the cascade combination is equal to the first feature of the relevant information. The sum of the number of dimensions represented and the number of dimensions represented by the first feature of the remaining information.

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

Based on the typical engineering data in the typical engineering data cluster, the engineering data encoding network is subjected to multi-stage network optimization, and after the network optimization process is completed, an optimized engineering data encoding network is obtained.

Among them, one stage of network optimization can further include the following:

Determine typical engineering data combinations in the typical engineering data clusters;

The description data of the construction project to be analyzed for each typical construction project to be analyzed in the typical project data combination, the current confirmed typical construction project clusters and the remaining typical construction project clusters to be analyzed, and the confirmed typical construction projects in the later stage Clusters and remaining typical construction project clusters to be analyzed are loaded to be loaded into the engineering data encoding network. The confirmed typical construction project clusters and the remaining typical construction project clusters to be analyzed are obtained based on the actual project quality detection priority analysis;

Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the construction project description data to be analyzed of each of the typical construction projects to be analyzed, so as to output the second engineering data of the typical engineering data combination. Feature representation;

The second characteristic representation of the engineering data is loaded to the analysis output sub-network in the engineering data encoding network, so as to use the analysis output sub-network to analyze each remaining typical construction project cluster to be analyzed. The first analysis value of the internal priority coefficient corresponding to a remaining typical construction project to be analyzed is analyzed, and the second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the subsequent stage is analyzed;

According to the first analytical value of the internal priority coefficient, the second analytical value of the internal priority coefficient and the corresponding actual internal priority coefficient (the difference between them), a target error parameter is calculated, and based on the target error parameter, The engineering data encoding network performs network optimization, such as network optimization in a direction of reducing the target error parameter.

Optionally, in some embodiments, the determination process of confirming typical construction project clusters and the remaining typical construction project clusters to be analyzed may further include the following:

In the typical engineering data combination, a randomly determined typical engineering data is marked for processing to form typical engineering data to be processed;

Based on the actual project quality inspection priority and each typical construction project to be analyzed before the typical construction project to be analyzed in the typical project data to be processed, the current confirmed typical construction project cluster is determined, and based on other typical construction projects Typical construction projects to be analyzed in the engineering data are used to determine the remaining typical construction project clusters to be analyzed;

Based on the actual project quality inspection priority, the typical construction projects to be analyzed in the typical project data to be processed, and each typical construction project to be analyzed before the typical construction projects to be analyzed, the confirmation typical of the later stage is determined construction project clusters, and, based on the typical construction projects to be analyzed in other typical project data, the remaining typical construction project clusters to be analyzed in the later stage are determined.

Optionally, in some implementations, the analysis output sub-network includes a first analysis output unit and a second analysis output unit. Based on this, the second feature representation of the engineering data is loaded to The analysis output sub-network in the engineering data encoding network is used to analyze the first analysis of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the current cluster of remaining typical construction projects to be analyzed. value, and the step of analyzing the second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the subsequent stage may further include the following:

Using the first analysis output unit, after multiplying the second feature representation of the project data and the second feature representation of the analysis situation, a focused feature analysis operation is performed to output each confirmation in the current confirmed typical construction project cluster. The second characteristic representation of related information between typical construction projects, the second characteristic representation of related information is used to reflect the current content correlation information between each confirmed typical construction project (that is, between each confirmed typical construction project ), each feature representation parameter in the second feature representation of the analysis situation is used to reflect whether the construction project to be analyzed in the corresponding typical project data combination has been analyzed to determine the project quality detection priority;

The first analysis output unit is used to determine the second characteristic representation of the remaining information formed by multiplying the second characteristic representation of the engineering data and the second characteristic representation of the analysis status, and the second characteristic representation of the remaining information is used to project the current The engineering data information of each remaining typical construction project to be analyzed, and each characteristic representation parameter in the second characteristic representation of the analysis status is used to reflect whether the construction project to be analyzed in the corresponding typical engineering data combination has not yet been analyzed. Quality inspection priority;

Utilize the linear processing sub-network in the first analysis output unit to linearly process the second feature representation of the cascade combination formed by the cascade combination of the second feature representation of the relevant information and the second feature representation of the remaining information, and output The first analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the current cluster of remaining typical construction projects to be analyzed;

The second analysis output unit is used to perform a multiplication operation on the second feature representation of the engineering data and the third feature representation of the analysis situation, and then perform a focused feature analysis operation to output each confirmed typical construction project cluster in the latter stage. A third feature representation of the relevant information between confirmed typical construction projects. The third feature representation of the relevant information is used to reflect the content correlation information between each confirmed typical construction project in the subsequent stage. The third analysis situation Each feature representation parameter in the feature representation is used to reflect whether the construction project to be analyzed in the typical project data combination corresponding to the later stage has been analyzed and the project quality detection priority has been analyzed;

The second analysis output unit is used to determine the third characteristic representation of the remaining information formed by multiplying the second characteristic representation of the engineering data and the third characteristic representation of the analysis status, and the third characteristic representation of the remaining information is used to reflect the subsequent Engineering data information of each remaining typical construction project to be analyzed in one stage, and each feature representation parameter in the third characteristic representation of the analysis state is used to reflect the building to be analyzed in the typical engineering data combination corresponding to the subsequent stage. Whether the project has not yet analyzed the project quality inspection priorities;

Utilize the linear processing sub-network in the second analysis output unit to linearly process the third feature representation of the cascade combination formed by the cascade combination of the third feature representation of the relevant information and the third feature representation of the remaining information, and output The second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the later stage.

Optionally, in some implementations, the target error parameter is calculated based on the first analytical value of the internal priority coefficient, the second analytical value of the internal priority coefficient and the corresponding actual internal priority coefficient, And, based on the target error parameter, the step of network optimization of the engineering data encoding network may further include the following:

Based on 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, combined with the corresponding actual internal priority coefficient, the corresponding target error parameter is calculated , the reference priority coefficient belongs to the first analysis value of the internal priority coefficient corresponding to the typical construction project to be analyzed in the typical project data to be processed.

With reference to Figure 3, an embodiment of the present invention also provides an information processing system for engineering quality inspection, which can be applied to the above information processing platform for engineering quality inspection. Wherein, the information processing system for engineering quality inspection may include:

The description data determination module is used to determine the construction project description data to be analyzed for each construction project to be analyzed in the construction project cluster to be analyzed, where the construction project cluster to be analyzed includes multiple construction projects to be analyzed;

The detection priority analysis module is used to analyze the project quality detection priority of each of the construction projects to be analyzed based on the description data of the construction project to be analyzed and based on the form of executing target operations in sequence. , performing the target operation once includes:

Based on the confirmed construction project cluster, the corresponding current detection priority is obtained. The confirmed construction project cluster includes each confirmed construction project for which the project quality detection priority has been determined. The current detection priority is for each confirmed construction project that has been determined so far. A confirmation of the highest inspection priority other than the engineering quality inspection priority of the construction project;

From the cluster of remaining construction projects to be analyzed, each remaining construction project to be analyzed for which the project quality inspection priority has not yet been determined is obtained;

Analyze the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the construction project description data to be analyzed, the confirmed construction project clusters and the remaining construction project clusters to be analyzed;

Based on the internal priority coefficient, in the cluster of remaining construction projects to be analyzed, at least one remaining construction project to be analyzed is determined, and the current detection priority is used as the project quality detection of the at least one remaining construction project to be analyzed. priority.

Optionally, in some embodiments, the detection priority analysis module is specifically configured to: extract the first characteristic representation of the engineering data analyzed based on the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects; Perform related information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects, and the first characteristic representation of the relevant information is expressed by In order to reflect the content correlation information between each of the confirmed construction projects, the first characteristic representation of the analysis situation is obtained based on the analysis of each of the confirmed construction projects, and each characteristic representation in the first characteristic representation of the analysis situation is The parameters are used to reflect whether the corresponding construction project to be analyzed has analyzed the corresponding project quality detection priority; perform an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output each of the remaining A first characteristic representation of the remaining information commonly corresponding to the construction projects to be analyzed. The first characteristic representation of the remaining information is used to reflect the engineering data information of each of the remaining construction projects to be analyzed. The first characteristic representation of the analysis status is based on each Obtained from the analysis of the remaining construction projects to be analyzed, each characteristic representation parameter in the first characteristic representation of the analysis status is used to reflect whether the corresponding construction project to be analyzed has not yet analyzed the project quality detection priority; according to the relevant information The first characteristic representation and the first characteristic representation of the remaining information are used to analyze the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed.

Optionally, in some embodiments, the extraction of the first characteristic representation of the engineering data analyzed based on the construction project description data to be analyzed of each of the construction projects to be analyzed includes: for each of the construction projects to be analyzed The construction project description data to be analyzed of the construction project is loaded into the engineering data encoding network formed through network optimization; the engineering data mining sub-network in the engineering data encoding network is used to load the description data of each construction project to be analyzed. The construction project description data to be analyzed performs information mining operations to output the first characteristic representation of the corresponding engineering data; the engineering data encoding network is formed based on network optimization of typical engineering data clusters, and the typical engineering data in the typical engineering data clusters include The description data of the construction project to be analyzed of the typical construction project to be analyzed and the actual project quality detection priority and the actual internal priority coefficient corresponding to the typical construction project to be analyzed.

In summary, the present invention provides an information processing method and system for project quality detection, which can obtain the corresponding current detection priority based on confirmed construction project clusters; and obtain the unidentified construction project clusters from the remaining construction project clusters to be analyzed. Determine the project quality inspection priority for each remaining construction project to be analyzed; analyze each remaining construction project to be analyzed based on the construction project description data to be analyzed, the confirmed construction project cluster and the remaining construction project clusters to be analyzed. The internal priority coefficient corresponding to the construction project; based on the internal priority coefficient, in the cluster of remaining construction projects to be analyzed, at least one remaining construction project to be analyzed is determined, and the current detection priority is used as the project quality inspection of at least one remaining construction project to be analyzed. priority. Based on the above content, since the project quality detection priority is based on information such as the construction project description data to be analyzed, compared with the conventional technical solution of arbitrarily determining the detection priority, the reliability of priority determination in project quality detection can be improved. Thus, the problem of low reliability existing in the existing technology is improved.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. An information processing method for engineering quality inspection, characterized by including: Determine the construction project description data to be analyzed for each construction project to be analyzed in the construction project cluster to be analyzed, where the construction project cluster to be analyzed includes multiple construction projects to be analyzed; Based on the description data of the construction project to be analyzed for each of the construction projects to be analyzed, and based on the form of executing the target operation in sequence, the project quality inspection priority of each of the construction projects to be analyzed is analyzed, and executing the target operation once includes : Based on the confirmed construction project cluster, the corresponding current detection priority is obtained. The confirmed construction project cluster includes each confirmed construction project for which the project quality detection priority has been determined. The current detection priority is for each confirmed construction project that has been determined so far. A confirmation of the highest inspection priority other than the engineering quality inspection priority of the construction project; From the cluster of remaining construction projects to be analyzed, each remaining construction project to be analyzed for which the project quality inspection priority has not yet been determined is obtained; Analyze the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the construction project description data to be analyzed, the confirmed construction project clusters and the remaining construction project clusters to be analyzed; Based on the internal priority coefficient, in the cluster of remaining construction projects to be analyzed, at least one remaining construction project to be analyzed is determined, and the current detection priority is used as the project quality detection of the at least one remaining construction project to be analyzed. priority. 2. The information processing method for project quality detection according to claim 1, characterized in that the construction project description data to be analyzed based on each of the construction projects to be analyzed, the confirmed construction project cluster and the The steps of analyzing the cluster of remaining construction projects to be analyzed and analyzing the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed include: Extract the first characteristic representation of the project data analyzed based on the description data of the construction project to be analyzed for each of the construction projects to be analyzed; Perform related information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects, and the first characteristic representation of the relevant information is expressed by In order to reflect the content correlation information between each of the confirmed construction projects, the first characteristic representation of the analysis situation is obtained based on the analysis of each of the confirmed construction projects, and each characteristic representation in the first characteristic representation of the analysis situation is The parameters are used to reflect whether the corresponding construction project to be analyzed has analyzed the corresponding project quality inspection priority; Perform an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first characteristic representation of the remaining information corresponding to each of the remaining construction projects to be analyzed, and the first characteristic representation of the remaining information Used to reflect the project data information of each of the remaining construction projects to be analyzed, the first characteristic representation of the analysis status is obtained based on the analysis of each of the remaining construction projects to be analyzed, and each of the first characteristic representations of the analysis status The feature representation parameters are used to reflect whether the corresponding construction project to be analyzed has not yet analyzed the project quality inspection priority; Based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information, the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed is analyzed. 3. The information processing method for project quality detection according to claim 2, characterized in that the extracted project data is first analyzed based on the construction project description data to be analyzed for each of the construction projects to be analyzed. Feature representation steps include: Load the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to the engineering data encoding network formed through network optimization; Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to output the corresponding first feature representation of the engineering data; The engineering data encoding network is formed based on network optimization of typical engineering data clusters. The typical engineering data in the typical engineering data cluster includes the to-be-analyzed construction project description data of the typical to-be-analyzed construction project and the corresponding to the typical to-be-analyzed construction project. Actual project quality inspection priority and actual internal priority coefficient. 4. The information processing method for engineering quality detection according to claim 3, characterized in that the engineering data encoding network also includes an analysis output sub-network and a linear processing sub-network; The step of performing relevant information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects includes: The first characteristic representation of the engineering data is loaded into the analysis output sub-network included in the engineering data encoding network, so as to use the analysis output sub-network to analyze the first characteristic representation of the engineering data and the first analysis situation. A feature representation performs a multiplication operation to output the first feature representation of relevant information between each of the confirmed construction projects; The step of performing an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first characteristic representation of the remaining information corresponding to each of the remaining construction projects to be analyzed includes: According to the analysis output sub-network, a multiplication operation is performed on the first feature representation of the project data and the first feature representation of the analysis status, and a first feature representation of the remaining information corresponding to each of the remaining construction projects to be analyzed is output; The step of analyzing the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information includes: Using a linear processing sub-network, linearly process the first feature representation of the cascade combination formed by cascading the first feature representation of the relevant information and the first feature representation of the remaining information, and output each of the remaining buildings to be analyzed. The internal priority coefficient corresponding to the project. 5. The information processing method for engineering quality detection as claimed in claim 3, characterized in that the network optimization of the engineering data encoding network includes: Based on the typical engineering data in the typical engineering data cluster, the engineering data encoding network is subjected to multi-stage network optimization, and after the network optimization process is completed, the optimized engineering data encoding network is obtained. One stage of network optimization includes: Determine typical engineering data combinations in the typical engineering data clusters; The description data of the construction project to be analyzed for each typical construction project to be analyzed in the typical project data combination, the current confirmed typical construction project clusters and the remaining typical construction project clusters to be analyzed, and the confirmed typical construction projects in the later stage Clusters and remaining typical construction project clusters to be analyzed are loaded to be loaded into the engineering data encoding network. The confirmed typical construction project clusters and the remaining typical construction project clusters to be analyzed are obtained based on the actual project quality detection priority analysis; Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the construction project description data to be analyzed of each of the typical construction projects to be analyzed, so as to output the second engineering data of the typical engineering data combination. Feature representation; The second characteristic representation of the engineering data is loaded to the analysis output sub-network in the engineering data encoding network, so as to use the analysis output sub-network to analyze each remaining typical construction project cluster to be analyzed. The first analysis value of the internal priority coefficient corresponding to a remaining typical construction project to be analyzed is analyzed, and the second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the subsequent stage is analyzed; Calculate a target error parameter based on the first analytical value of the internal priority coefficient, the second analytical value of the internal priority coefficient and the corresponding actual internal priority coefficient, and, based on the target error parameter, encode the engineering data into the network Perform network optimization. 6. The information processing method for project quality detection according to claim 5, characterized in that the determination process of confirming typical construction project clusters and the remaining typical construction project clusters to be analyzed includes: In the typical engineering data combination, a randomly determined typical engineering data is marked for processing to form typical engineering data to be processed; Based on the actual project quality inspection priority and each typical construction project to be analyzed before the typical construction project to be analyzed in the typical project data to be processed, the current confirmed typical construction project cluster is determined, and based on other typical construction projects Typical construction projects to be analyzed in the engineering data are used to determine the remaining typical construction project clusters to be analyzed; Based on the actual project quality inspection priority, the typical construction projects to be analyzed in the typical project data to be processed, and each typical construction project to be analyzed before the typical construction projects to be analyzed, the confirmation typical of the later stage is determined construction project clusters, and, based on the typical construction projects to be analyzed in other typical project data, the remaining typical construction project clusters to be analyzed in the later stage are determined. 7. The information processing method for engineering quality detection according to claim 5, characterized in that the analysis output sub-network includes a first analysis output unit and a second analysis output unit; The second characteristic representation of the engineering data is loaded to the analysis output sub-network in the engineering data encoding network, so as to use the analysis output sub-network to analyze the current remaining typical construction engineering clusters to be analyzed. The first analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster is analyzed, and the second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the subsequent stage is analyzed. Value steps include: Using the first analysis output unit, after multiplying the second feature representation of the project data and the second feature representation of the analysis situation, a focused feature analysis operation is performed to output each confirmation in the current confirmed typical construction project cluster. The second characteristic representation of related information between typical construction projects, the second characteristic representation of related information is used to reflect the current content correlation information between each confirmed typical construction project, and the second characteristic representation of the analysis situation Each feature representation parameter is used to reflect whether the construction project to be analyzed in the corresponding typical project data combination has been analyzed and the project quality inspection priority has been analyzed; The first analysis output unit is used to determine the second characteristic representation of the remaining information formed by multiplying the second characteristic representation of the engineering data and the second characteristic representation of the analysis status, and the second characteristic representation of the remaining information is used to project the current The engineering data information of each remaining typical construction project to be analyzed, and each characteristic representation parameter in the second characteristic representation of the analysis status is used to reflect whether the construction project to be analyzed in the corresponding typical engineering data combination has not yet been analyzed. Quality inspection priority; Utilize the linear processing sub-network in the first analysis output unit to linearly process the second feature representation of the cascade combination formed by the cascade combination of the second feature representation of the relevant information and the second feature representation of the remaining information, and output The first analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the current cluster of remaining typical construction projects to be analyzed; The second analysis output unit is used to perform a multiplication operation on the second feature representation of the engineering data and the third feature representation of the analysis situation, and then perform a focused feature analysis operation to output each confirmed typical construction project cluster in the latter stage. A third feature representation of the relevant information between confirmed typical construction projects. The third feature representation of the relevant information is used to reflect the content correlation information between each confirmed typical construction project in the subsequent stage. The third analysis situation Each feature representation parameter in the feature representation is used to reflect whether the construction project to be analyzed in the typical project data combination corresponding to the later stage has been analyzed and the project quality detection priority has been analyzed; The second analysis output unit is used to determine the third characteristic representation of the remaining information formed by multiplying the second characteristic representation of the engineering data and the third characteristic representation of the analysis status, and the third characteristic representation of the remaining information is used to reflect the subsequent Engineering data information of each remaining typical construction project to be analyzed in one stage, and each feature representation parameter in the third characteristic representation of the analysis state is used to reflect the building to be analyzed in the typical engineering data combination corresponding to the subsequent stage. Whether the project has not yet analyzed the project quality inspection priorities; Utilize the linear processing sub-network in the second analysis output unit to linearly process the third feature representation of the cascade combination formed by the cascade combination of the third feature representation of the relevant information and the third feature representation of the remaining information, and output The second analysis value of the internal priority coefficient corresponding to each remaining typical construction project to be analyzed in the cluster of remaining typical construction projects to be analyzed in the later stage. 8. An information processing system for engineering quality inspection, characterized by including: The description data determination module is used to determine the construction project description data to be analyzed for each construction project to be analyzed in the construction project cluster to be analyzed, where the construction project cluster to be analyzed includes multiple construction projects to be analyzed; The detection priority analysis module is used to analyze the project quality detection priority of each of the construction projects to be analyzed based on the description data of the construction project to be analyzed and based on the form of executing target operations in sequence. , performing the target operation once includes: Based on the confirmed construction project cluster, the corresponding current detection priority is obtained. The confirmed construction project cluster includes each confirmed construction project for which the project quality detection priority has been determined. The current detection priority is for each confirmed construction project that has been determined so far. A confirmation of the highest inspection priority other than the engineering quality inspection priority of the construction project; From the cluster of remaining construction projects to be analyzed, each remaining construction project to be analyzed for which the project quality inspection priority has not yet been determined is obtained; Analyze the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed based on the construction project description data to be analyzed, the confirmed construction project clusters and the remaining construction project clusters to be analyzed; Based on the internal priority coefficient, in the cluster of remaining construction projects to be analyzed, at least one remaining construction project to be analyzed is determined, and the current detection priority is used as the project quality detection of the at least one remaining construction project to be analyzed. priority. 9. The information processing system for engineering quality detection as claimed in claim 8, characterized in that the detection priority analysis module is specifically used for: Extract the first characteristic representation of the project data analyzed based on the description data of the construction project to be analyzed for each of the construction projects to be analyzed; Perform related information mining operations based on the first characteristic representation of the project data and the first characteristic representation of the analysis situation to output the first characteristic representation of the relevant information between each of the confirmed construction projects, and the first characteristic representation of the relevant information is expressed by In order to reflect the content correlation information between each of the confirmed construction projects, the first characteristic representation of the analysis situation is obtained based on the analysis of each of the confirmed construction projects, and each characteristic representation in the first characteristic representation of the analysis situation is The parameters are used to reflect whether the corresponding construction project to be analyzed has analyzed the corresponding project quality inspection priority; Perform an information mining operation based on the first characteristic representation of the project data and the first characteristic representation of the analysis status to output the first characteristic representation of the remaining information corresponding to each of the remaining construction projects to be analyzed, and the first characteristic representation of the remaining information Used to reflect the project data information of each of the remaining construction projects to be analyzed, the first characteristic representation of the analysis status is obtained based on the analysis of each of the remaining construction projects to be analyzed, and each of the first characteristic representations of the analysis status The feature representation parameters are used to reflect whether the corresponding construction project to be analyzed has not yet analyzed the project quality inspection priority; Based on the first characteristic representation of the relevant information and the first characteristic representation of the remaining information, the internal priority coefficient corresponding to each of the remaining construction projects to be analyzed is analyzed. 10. The information processing system for project quality detection according to claim 9, wherein the extracted project data is first analyzed based on the construction project description data to be analyzed for each of the construction projects to be analyzed. Feature representation, including: Load the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to the engineering data encoding network formed through network optimization; Utilize the engineering data mining sub-network in the engineering data encoding network to perform information mining operations on the to-be-analyzed construction project description data of each of the to-be-analyzed construction projects to output the corresponding first feature representation of the engineering data; The engineering data encoding network is formed based on network optimization of typical engineering data clusters. The typical engineering data in the typical engineering data cluster includes the to-be-analyzed construction project description data of the typical to-be-analyzed construction project and the corresponding to the typical to-be-analyzed construction project. Actual project quality inspection priority and actual internal priority coefficient.