CN118071148A

CN118071148A - Risk information determining method and device for engineering project and computer equipment

Info

Publication number: CN118071148A
Application number: CN202410373179.9A
Authority: CN
Inventors: 崔田
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2024-03-29
Filing date: 2024-03-29
Publication date: 2024-05-24

Abstract

The application relates to a risk information determination method, a risk information determination device, a risk information determination computer device, a risk information determination storage medium and a risk information determination computer program product for an engineering project. The method comprises the following steps: determining risk index data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project; determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample; constructing a construction risk information output model aiming at the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample; and acquiring the risk index data of the engineering project, and inputting the risk index data of the engineering project into the construction risk information output model to obtain the risk information of the engineering project. The method can achieve the beneficial effect of accurately evaluating the risk information of the engineering project.

Description

Risk information determining method and device for engineering project and computer equipment

Technical Field

The present application relates to the field of big data technology, and in particular, to a risk information determining method, apparatus, computer device, storage medium and computer program product for an engineering project.

Background

Risk assessment in the field of engineering construction is an important and complex problem. As the complexity and uncertainty of engineering projects increases, many factors often need to be considered in performing risk assessment of engineering projects.

Currently, when evaluating risks of engineering projects, the risks are often evaluated based on construction data in the engineering field, for example, construction data such as construction data and mechanical data related to the engineering field. However, in practice, when implementing engineering projects, construction data in other fields, for example, air quality data corresponding to an environmental field and resource yield data corresponding to a resource field, are often involved, and the existing evaluation method only considers the influence of the engineering field, and cannot perform comprehensive risk evaluation on the engineering projects, so that the obtained evaluation result is inaccurate.

Therefore, the conventional technology has a problem that risk assessment of engineering projects is not accurate enough.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a risk information determining method, apparatus, computer device, computer-readable storage medium, and computer program product for an engineering project that are capable of accurately evaluating the risk of the engineering project.

A risk information determining method for engineering projects includes:

Determining risk index data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises scores corresponding to construction risk indexes of the engineering project sample in the construction process;

Determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample;

Constructing a construction risk information output model aiming at the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample;

and acquiring risk index data of the engineering project, and inputting the risk index data of the engineering project into a construction risk information output model to obtain risk information of the engineering project.

In one embodiment, determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample includes:

According to the risk index data corresponding to each engineering project sample, determining risk assessment information of each engineering project sample under the correspondence of different project influence factors; project influencing factors are factors influencing the risk level of the engineering project;

And determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under different project influence factors.

In one embodiment, determining risk indicator data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project includes:

Determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project;

And acquiring historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample.

In one embodiment, obtaining historical construction data corresponding to each engineering project sample in each associated field includes:

Acquiring original historical construction data corresponding to each engineering project sample in each associated field;

And carrying out data statistics on the original historical construction data corresponding to the engineering project samples in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project samples in each associated field.

In one embodiment, determining each construction risk indicator for the project according to domain knowledge corresponding to at least one associated domain associated with the project includes:

For any associated domain, determining an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain;

For any associated domain, determining at least one construction risk index for the engineering project in the associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

In one embodiment, the method further comprises:

acquiring a risk information formatted file template for an engineering project;

formatting the risk information according to the risk information formatting file template to obtain a risk information formatting result;

and filling the risk information formatting result into a risk information formatting file template to obtain a risk assessment report of the engineering project.

A risk information determining apparatus for an engineering project, the apparatus comprising:

The association module is used for determining risk index data corresponding to each engineering project sample according to domain knowledge corresponding to at least one association domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises scores corresponding to construction risk indexes of the engineering project sample in the construction process;

The determining module is used for determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample;

the construction module is used for constructing a construction risk information output model aiming at the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample;

The input module is used for acquiring the risk index data of the engineering project, inputting the risk index data of the engineering project into the construction risk information output model, and obtaining the risk information of the engineering project.

In one embodiment, the determining module is specifically configured to: according to the risk index data corresponding to each engineering project sample, determining risk assessment information of each engineering project sample under the correspondence of different project influence factors; project influencing factors are factors influencing the risk level of the engineering project; and determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under different project influence factors.

In one embodiment, the association module is specifically configured to: determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project; and acquiring historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample.

In one embodiment, the association module is specifically configured to: acquiring original historical construction data corresponding to each engineering project sample in each associated field; and carrying out data statistics on the original historical construction data corresponding to the engineering project samples in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project samples in each associated field.

In one embodiment, the association module is specifically configured to: for any associated domain, determining an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain; for any associated domain, determining at least one construction risk index for the engineering project in the associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

In one embodiment, the apparatus further comprises: the report generation module is used for acquiring a risk information formatted file template for the engineering project; formatting the risk information according to the risk information formatting file template to obtain a risk information formatting result; and filling the risk information formatting result into a risk information formatting file template to obtain a risk assessment report of the engineering project.

A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program.

A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.

A computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described above.

The risk information determining method, the risk information determining device, the risk information determining computer equipment, the risk information determining storage medium and the risk information determining computer program product for determining risk index data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises scores corresponding to construction risk indexes of the engineering project sample in the construction process; determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample; constructing a construction risk information output model aiming at the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample; acquiring risk index data of the engineering project, and inputting the risk index data of the engineering project into a construction risk information output model to obtain risk information of the engineering project; therefore, the construction risk influence factors of a plurality of related fields can be synthesized based on the field knowledge of the plurality of related fields, and the risk assessment is comprehensively carried out on the engineering project through knowledge fusion of the plurality of fields, so that the risk assessment accuracy of the engineering project is improved, and the beneficial effect of accurately assessing the risk of the engineering project is achieved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.

FIG. 1 is an application environment diagram of a risk information determination method for an engineering project in one embodiment;

FIG. 2 is a flow chart of a risk information determination method for an engineering project according to one embodiment;

FIG. 3 is a flow chart of a method of determining a risk level of an engineering project sample in one embodiment;

FIG. 4 is a schematic diagram of a risk information determination method for an engineering project in one embodiment;

FIG. 5 is a flowchart of a risk information determination method for an engineering project according to another embodiment;

FIG. 6 is a block diagram of a risk information determination device for an engineering project in one embodiment;

fig. 7 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The acquisition, transmission, storage, use, treatment and the like of the logarithm in the technical scheme of the application all accord with the relevant regulations of national laws and regulations.

It should be noted that, in the embodiments of the present application, some existing solutions in the industry such as software, components, models, etc. may be mentioned, and they should be regarded as exemplary, only for illustrating the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or must not use the solution.

The risk information determining method for the engineering project provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 determines risk index data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises scores corresponding to construction risk indexes of the engineering project sample in the construction process; the server 104 determines the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample; the server 104 constructs a construction risk information output model aiming at the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample; the server 104 acquires the risk index data of the engineering project, and inputs the risk index data of the engineering project into the construction risk information output model to obtain the risk information of the engineering project. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In an exemplary embodiment, as shown in fig. 2, a risk information determining method for an engineering project is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps S202 to S208. Wherein:

step S202, determining risk index data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises index values corresponding to construction risk indexes of the engineering project sample in the construction process.

The engineering project may refer to a construction engineering project.

The related field may be other fields that affect construction risks in building construction in addition to the engineering field. For example, the related fields may be environmental fields, social resource fields, and the like.

The domain knowledge may refer to expertise, experience, or skill corresponding to the associated domain. For example, the domain knowledge of the environmental domain may be expert knowledge corresponding to the environmental domain.

The engineering project sample may refer to a model sample for constructing a construction risk information output model. For example, the project sample may be any historical construction project for use as a sample.

The risk index data may include index values corresponding to construction risk indexes of the engineering project in the construction process.

The construction risk index may be an index for evaluating a risk level of an engineering project, for example, a construction material price average of approximately two months, a cost average of a history project, a cycle average of a history project, an air quality standard, a water quality standard, a climate change (for example, a change in air temperature, a change in rainfall), a change in cement material yield of approximately half a year, a change in rebar material yield of approximately half a year, or the like.

Optionally, the server acquires domain knowledge corresponding to at least one associated domain associated with the engineering project, and then, the server determines index values corresponding to construction risk indexes of each engineering project sample in the construction process according to the domain knowledge corresponding to each associated domain associated with the engineering project.

Step S204, determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample.

The risk level may represent a construction risk of the engineering project. In practical applications, the risk level may be classified into high risk, medium risk, and low risk.

Optionally, the server determines the risk level of each engineering project sample according to the index value corresponding to each construction risk index of each engineering project sample in the construction process.

Step S206, constructing a construction risk information output model for the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample.

The construction risk information output model may be a model for outputting construction risk information of any engineering project.

Optionally, the server constructs a construction risk information output model aiming at the engineering projects according to index values and risk grades corresponding to construction risk indexes of the engineering project samples in the construction process.

Step S208, acquiring risk index data of the engineering project, and inputting the risk index data of the engineering project into the construction risk information output model to obtain risk information of the engineering project.

The risk information may be a risk level corresponding to the engineering project, or may be a risk contribution degree value of each field to the engineering project.

Optionally, the server acquires index values corresponding to the construction risk indexes of the engineering project in the construction process, and then the server inputs the index values corresponding to the construction risk indexes of the engineering project in the construction process to the construction risk information output model to obtain the risk information of the engineering project.

In the risk information determining method of the engineering project, risk index data corresponding to each engineering project sample is determined according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises scores corresponding to construction risk indexes of the engineering project sample in the construction process; determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample; constructing a construction risk information output model aiming at the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample; acquiring risk index data of the engineering project, and inputting the risk index data of the engineering project into a construction risk information output model to obtain risk information of the engineering project; therefore, the construction risk influence factors of a plurality of related fields can be synthesized based on the field knowledge of the plurality of related fields, and the risk assessment is comprehensively carried out on the engineering project through knowledge fusion of the plurality of fields, so that the risk assessment accuracy of the engineering project is improved, and the beneficial effect of accurately assessing the risk of the engineering project is achieved.

In an exemplary embodiment, as shown in FIG. 3, step 204 includes steps 302 through 304. Wherein:

step S302, determining risk assessment information of each engineering project sample under the correspondence of different project influence factors according to risk index data corresponding to each engineering project sample; project influencing factors are factors that influence the risk level of an engineering project.

The project influencing factors can be factors for evaluating the risk level of the project, in practical application, different project influencing factors correspond to different risk evaluation dimensions for evaluating the project, and the project influencing factors can be project cost risks, project progress risks and project environment risks.

The risk assessment information may refer to a risk assessment result of a text form or a digital form corresponding to the engineering project under any project influence factor.

Optionally, the server determines risk assessment information of each engineering project sample corresponding to different project influence factors according to index values corresponding to each construction risk index of each engineering project sample in the construction process.

For example, the server determines risk assessment information corresponding to each project sample in the project cost risk, project progress risk and project environment risk according to index values corresponding to each construction risk index in the construction process of each project sample.

Step S304, determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under different project influence factors.

Optionally, the server determines the risk level of each engineering project sample according to risk assessment information of each engineering project sample under different project influencing factors.

For example, the server determines that each engineering project sample is high risk, medium risk or high risk according to risk assessment information corresponding to each engineering project sample in project cost risk, project progress risk and project environment risk.

In the embodiment, risk assessment information of each engineering project sample under the correspondence of different project influence factors is determined according to risk index data corresponding to each engineering project sample; project influencing factors are factors influencing the risk level of the engineering project; according to the risk assessment information of each engineering project sample under different project influence factors, the risk level of each engineering project sample is determined, and the influence of different project influence factors on the risk level of the engineering project sample can be achieved, so that the beneficial effect of accurately determining the risk level of the engineering project sample is achieved.

In one exemplary embodiment, determining risk indicator data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project includes: determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project; and acquiring historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample.

The historical construction data can comprise index values corresponding to candidate construction risk indexes of the engineering project samples in the construction process. The construction risk indexes are obtained by screening the candidate construction risk indexes.

Optionally, the server determines each construction risk index for the engineering project according to the domain knowledge corresponding to at least one associated domain associated with the engineering project, the server acquires the historical construction data corresponding to each engineering project sample in each associated domain, and for any engineering project sample, the server screens the historical construction data corresponding to each associated domain for the engineering project sample according to each construction risk index to obtain the index value corresponding to each construction risk index in the construction process of the engineering project sample.

In the embodiment, each construction risk index for the engineering project is determined according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the method comprises the steps of obtaining historical construction data corresponding to each engineering project sample in each associated field, screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample, and screening the risk index data of the engineering project sample based on each construction risk index influencing the construction risk of the engineering project.

In an exemplary embodiment, obtaining historical construction data corresponding to each engineering project sample in each associated field includes: acquiring original historical construction data corresponding to each engineering project sample in each associated field; and carrying out data statistics on the original historical construction data corresponding to the engineering project samples in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project samples in each associated field.

The original historical construction data may refer to original construction data of engineering project samples, which is not subjected to data statistics.

Optionally, the server acquires original historical construction data corresponding to each engineering project sample in each associated field, and for any engineering project sample, the server performs data statistics on the original historical construction data corresponding to each associated field of the engineering project sample to obtain the historical construction data corresponding to each associated field of the engineering project sample.

In practical application, after the historical construction data of the engineering project samples corresponding to each relevant field is obtained, the historical construction data of each engineering project sample is required to be screened, so that the risk index data corresponding to each engineering project sample is obtained. The specific screening process is described in the above examples.

In the embodiment, original historical construction data corresponding to each engineering project sample in each associated field is obtained; and for any engineering project sample, carrying out data statistics on original historical construction data corresponding to the engineering project sample in each associated field to obtain the historical construction data corresponding to the engineering project sample in each associated field, and carrying out data statistics on the original historical construction data so as to achieve the beneficial effect of improving the data processing efficiency.

In one exemplary embodiment, determining each construction risk indicator for an engineering project based on domain knowledge corresponding to at least one associated domain associated with the engineering project includes: for any associated domain, determining an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain; for any associated domain, determining at least one construction risk index for the engineering project in the associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

The associated risk indexes in the associated risk index set corresponding to the associated domain may refer to indexes in the associated domain that may affect construction risk.

The degree of influence of the associated risk index on the associated field may be the degree of influence of an index in the associated field, which may affect the construction risk, on the associated field.

The influence degree of the associated risk index on the construction risk may be the influence degree of an index which may influence the construction risk in the associated field on the construction risk.

Optionally, for any associated domain, the server determines an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain, and for any associated domain, the server determines at least one construction risk index for the engineering project in the associated risk index set according to the importance degree of each associated risk index in the associated risk index set corresponding to the associated domain and the risk contribution degree of each associated risk index to the construction risk.

In the embodiment, for any associated domain, determining an associated risk index set associated with construction risks of the associated domain and the engineering project according to domain knowledge corresponding to the associated domain; for any associated field, determining at least one construction risk index aiming at the engineering project in the associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated field on the associated field and the influence degree of each associated risk index on the construction risk, and screening out the construction risk index for effectively evaluating the risk of the engineering project in the construction process according to the association of each associated risk index and the engineering project, thereby achieving the beneficial effect of accurately acquiring the risk information closer to the actual condition of the engineering project.

In an exemplary embodiment, the method further comprises: acquiring a risk information formatted file template for an engineering project; formatting the risk information according to the risk information formatting file template to obtain a risk information formatting result; and filling the risk information formatting result into a risk information formatting file template to obtain a risk assessment report of the engineering project.

Wherein the risk information formatted file template may refer to a file template for outputting risk information in a formatted form.

The risk information formatting result may be a result with a specific format obtained after the risk information is formatted.

The risk assessment report may be a text report that may be used to assess risk of an engineering project.

Optionally, the server acquires a risk information formatted file template for the engineering project, formats the risk information according to the risk information formatted file template, converts the risk information into risk data which can be filled into a corresponding position in the risk information formatted file template, and fills the risk data into the risk information formatted file template to obtain a risk assessment report of the engineering project.

In the embodiment, a file template is formatted by acquiring risk information aiming at an engineering project; formatting the risk information according to the risk information formatting file template to obtain a risk information formatting result; and filling the risk information formatting result into a risk information formatting file template to obtain a risk assessment report of the engineering project, and outputting risk information matched with the engineering project based on the characteristics of the engineering project, so that the beneficial effect of rapidly and accurately assessing the risk of the engineering project is achieved.

For the convenience of understanding of those skilled in the art, the following exemplary method for determining risk information of an engineering project is provided, corresponding to the schematic diagram shown in fig. 4, where the steps in the method are further described in the technical solutions of the foregoing embodiments or are further extended based on the technical solutions of the foregoing embodiments. The method is mainly realized by data collection, data preprocessing, construction risk information output model based on multi-domain knowledge, risk assessment and output risk assessment results, wherein the data collection corresponds to the following step 1-2, the data preprocessing corresponds to the step 3, the construction risk information output model based on multi-domain knowledge corresponds to the step 4-7, and the risk assessment and output risk assessment results correspond to the step 9-10:

step 1: and determining the association field. Specifically, each associated field associated with the engineering project is determined, including engineering fields, environmental fields, and social resource fields.

Step 2: and (5) data collection. Specifically, for the engineering field, collecting engineering material price data, historical project cost data, historical project progress data and engineering project type data by taking a ground city as a unit; aiming at the environmental field, collecting environmental management data including standard data of environmental indexes such as air quality, water quality and the like and climate change data including air temperature, rainfall and the like by taking a ground city as a unit; and collecting engineering material classification data and yield data of building materials, construction equipment, electric materials, heating and ventilation materials and water supply and drainage materials aiming at the field of social resources. The data collected in step 2 is the original historical construction data mentioned in the above examples.

Step 3: and (5) preprocessing data. And (3) cleaning, sorting and standardizing the data collected in the step (2) to ensure the quality and consistency of the data, filling the missing data by adopting a proper interpolation or regression method, and correcting or eliminating the abnormal value.

Step 4: data preparation. The data of each associated field obtained in the step 3 is organized into a data set, which should contain information of multiple fields such as engineering, environment and social resources, and the following are example data sets:

Engineering field data: price data of the near-half year engineering material (steel bar), price data of the near-half year engineering material (cement), cost data of history projects, progress data of road construction history projects, type data of engineering projects [ 'road construction' ], etc.; environmental domain data: air standard data AQI, water quality standard data, air temperature change data, rainfall change data and the like; resource domain data: engineering material classification data, cement material yield data, rebar equipment yield data, and the like. The data obtained by the arrangement in step 4 is the historical construction data mentioned in the above embodiment, that is, the data obtained by the arrangement in step 4 is the historical construction data obtained by counting the original historical construction data in step 2.

Step 5: and (5) feature selection. And (3) selecting the features from the data obtained in the step (2), wherein the importance of the features in different associated fields and the contribution degree of the features to the overall construction risk are considered for the selection of the features. Specifically:

Aiming at engineering field characteristics, key characteristics are extracted through analysis of engineering field data, and the key characteristics and the corresponding determination method of the key characteristics are as follows: 1) Average value of engineering material prices for nearly two months, a: carrying out statistical analysis on the prices of engineering materials (such as steel bars and cement), and calculating the average value of the engineering materials in the last two months; 2) Average value of the historical costs of different types of items b: summarizing historical project cost data according to project types (such as road construction), and calculating an average value of the historical project cost data; 3) Average value c of historical item periods for different types of items: historical project periods of different types of projects are analyzed, and an average value of the historical project periods is calculated.

Aiming at the characteristics of the environmental field, the data of the environmental field are processed by combining the local requirements on construction, the main characteristics of environmental indexes such as air quality, water quality, soil quality and the like are extracted, and the main characteristics and the corresponding determination method of the main characteristics are as follows: 1) Air quality standard d: setting a standard according to an Air Quality Index (AQI), and setting a threshold value as a reference of environmental risks; 2) Quality standard e: setting a water quality index standard as a basis for environmental risk assessment; 3) Climate change data f such as air temperature and rainfall: and analyzing change data of the air temperature and the rainfall.

Aiming at the social resource field characteristics: 1) Nearly half year change in cement material yield k1: analyzing the variation trend of the cement yield, and calculating the variation rate of the cement in the last half year; 2) Near half year change in rebar material yield k2: similarly, the trend of the change in the yield of the reinforcing bars was analyzed.

The features a, b, c, d, e, f, k and k2 extracted in the step 5 are construction risk indexes, and the feature extraction process in the step 5 can be understood as screening out the associated risk indexes corresponding to each associated field, namely, screening out the construction risk indexes a, b, c, d, e, f, k and k2 from the associated risk indexes corresponding to each associated field according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated field on the associated field and the influence degree of each associated risk index on the construction risk. The construction risk indicators shown in step 5 are only parts, and the following also refers to descriptions of other construction risk indicators.

Step 6: risk level tag definition. Specifically, firstly, defining assessment methods of different risk class labels aiming at construction risks, wherein the assessment methods are divided into high risk labels, medium risk labels and low risk labels, and risk types comprise cost risks, progress risks and environment risks, and the risk types correspond to project risk factors in the embodiment; secondly, determining labels according to historical construction data of projects, labeling projects with project costs exceeding a budget by more than 50%, progress delays exceeding 30% or exceeding environmental standard coefficients at high risk, labeling projects with project costs within a budget range but progress delays between 10 and 30%, progress less than a construction minimum rainfall h or progress higher than a minimum construction temperature g1 and lower than a maximum construction temperature g2 at low risk, and labeling projects with project costs within a budget range, progress delays within 10% or k2 changes within 10% within a k1 change within 10%.

Step 7: and constructing a construction risk information output model. Specifically, based on the steps 1-6, a construction risk information output model based on multi-domain knowledge is constructed, and the weight and parameters of the construction risk information output model based on the multi-domain knowledge are saved, so that the construction risk information output model can be reused in actual engineering projects. The process of model preservation includes a complete record of model structure and learned knowledge.

Step 8: and (5) model calling. In the actual engineering projects, the stored construction risk information output model is called to realize real-time risk assessment of different engineering projects, and the calling process takes normalization and instantaneity of data input into consideration and quick acquisition of assessment results.

Step 9: and (5) risk assessment. Specifically, through the constructed construction risk information output model based on multi-domain knowledge, all project influence factors of engineering projects are comprehensively evaluated, including cost, progress, environment and the like. In the risk assessment process, based on the project field data, the environment field data, the social resource field and other data of the input project, the risk assessment model is called to realize the risk assessment of the project.

Step 10: and outputting a risk assessment result. Specifically, the risk assessment results are formatted, and output in an intuitive and interpretable format, which may include specific values of risk levels (high, medium, low) and risk contribution of each associated domain. The formatting of the risk assessment results accords with the technical requirements of the decision maker so as to be capable of rapidly understanding key information, for example, a risk assessment report can be output and used as a reference for engineering project decision making, and scientific and accurate basis is provided for the decision maker. In addition, risk information of a plurality of engineering projects can be generated in the same risk assessment report, and the report can contain technical suggestions for the engineering projects with high risks or analysis of technical advantages and potential development directions of the engineering projects with low and medium risks.

In the embodiment, through comprehensively considering risk factors in three fields of engineering field, environment field and social resource field, comprehensive grasp of engineering project risk can be improved through a multi-field knowledge fusion mode; in the embodiment, specific data in the engineering field, the environment field and the social resource field are considered in the data collection and feature selection stage, and key features are extracted from the specific data, so that the evaluation is closer to the actual situation of a specific engineering project, and has stronger professionals; in this embodiment, the high, medium and low risk levels are defined by the historical data of the specific engineering project, and detailed risk level label definition is performed on the different risk levels based on different risk types (i.e. different project influencing factors such as cost risk, progress risk and environmental risk), so that the risk assessment result more accords with the actual situation of the specific engineering project.

In an exemplary embodiment, as shown in fig. 5, there is provided a risk information determining method for an engineering project, which is described by taking the application of the method to the server 104 in fig. 1 as an example, and includes the following steps:

step S502, determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project.

Step S504, obtaining the historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain the risk index data corresponding to the engineering project sample; the risk index data corresponding to any engineering project sample comprises index values corresponding to construction risk indexes of the engineering project sample in the construction process.

Step S506, determining the risk level of each engineering project sample according to the risk index data corresponding to each engineering project sample.

And step S508, constructing a construction risk information output model aiming at the engineering project according to the risk index data and the risk grade corresponding to each engineering project sample.

Step S510, acquiring risk index data of the engineering project, and inputting the risk index data of the engineering project into the construction risk information output model to obtain risk information of the engineering project.

It should be noted that, the specific limitation of the above steps may be referred to the specific limitation of the risk information determining method for an engineering project.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a risk information determining device for the engineering project, which is used for realizing the risk information determining method for the engineering project. The implementation scheme of the solution provided by the device is similar to the implementation scheme described in the above method, so the specific limitation in the embodiments of the risk information determining device for one or more engineering projects provided below may refer to the limitation of the risk information determining method for an engineering project hereinabove, and will not be repeated herein.

In an exemplary embodiment, as shown in fig. 6, there is provided a risk information determining apparatus for an engineering project, including: an association module 602, a determination module 604, a construction module 606, and an input module 608, wherein:

The association module 602 is configured to determine risk indicator data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises index values corresponding to construction risk indexes of the engineering project sample in the construction process;

A determining module 604, configured to determine a risk level of each engineering project sample according to risk indicator data corresponding to each engineering project sample;

The construction module 606 is configured to construct a construction risk information output model for the engineering project according to the risk index data and the risk level corresponding to each engineering project sample;

The input module 608 is configured to obtain risk index data of the engineering project, input the risk index data of the engineering project to the construction risk information output model, and obtain risk information of the engineering project.

In one embodiment, the determining module 604 is specifically configured to: according to the risk index data corresponding to each engineering project sample, determining risk assessment information of each engineering project sample under the correspondence of different project influence factors; project influencing factors are factors influencing the risk level of the engineering project; and determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under different project influence factors.

In one embodiment, the association module 602 is specifically configured to: determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project; and acquiring historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample.

In one embodiment, the association module 602 is specifically configured to: acquiring original historical construction data corresponding to each engineering project sample in each associated field; and carrying out data statistics on the original historical construction data corresponding to the engineering project samples in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project samples in each associated field.

In one embodiment, the association module 602 is specifically configured to: for any associated domain, determining an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain; for any associated domain, determining at least one construction risk index for the engineering project in the associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

The respective modules in the risk information determination apparatus for engineering projects described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one exemplary embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing risk information determination data of the engineering project. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a risk information determination method for an engineering project.

It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In one exemplary embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:

Determining risk index data corresponding to each engineering project sample according to domain knowledge corresponding to at least one associated domain associated with the engineering project; the risk index data corresponding to any engineering project sample comprises index values corresponding to construction risk indexes of the engineering project sample in the construction process;

In one embodiment, the processor when executing the computer program further performs the steps of: according to the risk index data corresponding to each engineering project sample, determining risk assessment information of each engineering project sample under the correspondence of different project influence factors; project influencing factors are factors influencing the risk level of the engineering project; and determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under different project influence factors.

In one embodiment, the processor when executing the computer program further performs the steps of: determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project; and acquiring historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample.

In one embodiment, the processor when executing the computer program further performs the steps of: acquiring original historical construction data corresponding to each engineering project sample in each associated field; and carrying out data statistics on the original historical construction data corresponding to the engineering project samples in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project samples in each associated field.

In one embodiment, the processor when executing the computer program further performs the steps of: for any associated domain, determining an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain; for any associated domain, determining at least one construction risk index for the engineering project in the associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

In one embodiment, the processor when executing the computer program further performs the steps of: acquiring a risk information formatted file template for an engineering project; formatting the risk information according to the risk information formatting file template to obtain a risk information formatting result; and filling the risk information formatting result into a risk information formatting file template to obtain a risk assessment report of the engineering project.

In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of: according to the risk index data corresponding to each engineering project sample, determining risk assessment information of each engineering project sample under the correspondence of different project influence factors; project influencing factors are factors influencing the risk level of the engineering project; and determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under different project influence factors.

In one embodiment, the computer program when executed by the processor further performs the steps of: determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project; and acquiring historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring original historical construction data corresponding to each engineering project sample in each associated field; and carrying out data statistics on the original historical construction data corresponding to the engineering project samples in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project samples in each associated field.

In one embodiment, the computer program when executed by the processor further performs the steps of: for any associated domain, determining an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain; for any associated domain, determining at least one construction risk index for the engineering project in the associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a risk information formatted file template for an engineering project; formatting the risk information according to the risk information formatting file template to obtain a risk information formatting result; and filling the risk information formatting result into a risk information formatting file template to obtain a risk assessment report of the engineering project.

In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A method for determining risk information of an engineering project, the method comprising:

And acquiring the risk index data of the engineering project, and inputting the risk index data of the engineering project into the construction risk information output model to obtain the risk information of the engineering project.

2. The method of claim 1, wherein determining the risk level of each of the engineering project samples according to the risk indicator data corresponding to each of the engineering project samples comprises:

According to the risk index data corresponding to each engineering project sample, determining risk assessment information corresponding to each engineering project sample under different project influence factors; the project influencing factors are factors influencing the risk level of the engineering project;

And determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under the different project influence factors.

3. The method according to claim 1, wherein determining risk indicator data corresponding to each engineering project sample based on domain knowledge corresponding to at least one associated domain associated with an engineering project comprises:

4. A method according to claim 3, wherein said obtaining historical construction data corresponding to each of said engineering project samples in each of said associated areas comprises:

And carrying out data statistics on the original historical construction data corresponding to the engineering project sample in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project sample in each associated field.

5. A method according to claim 3, wherein said determining each of said construction risk indicators for an engineering project based on domain knowledge corresponding to at least one associated domain associated with said engineering project comprises:

For any associated domain, determining at least one construction risk index for the engineering project in an associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

6. The method according to claim 1, wherein the method further comprises:

Acquiring a risk information formatted file template aiming at the engineering project;

And filling the risk information formatting result into the risk information formatting file template to obtain a risk assessment report of the engineering project.

7. A risk information determining apparatus for an engineering project, the apparatus comprising:

8. The apparatus of claim 7, wherein the determining module is specifically configured to: according to the risk index data corresponding to each engineering project sample, determining risk assessment information corresponding to each engineering project sample under different project influence factors; the project influencing factors are factors influencing the risk level of the engineering project; and determining the risk level of each engineering project sample according to the risk assessment information of each engineering project sample under the different project influence factors.

9. The apparatus of claim 7, wherein the association module is specifically configured to: determining each construction risk index for the engineering project according to domain knowledge corresponding to at least one associated domain associated with the engineering project; and acquiring historical construction data corresponding to each engineering project sample in each associated field, and screening the historical construction data corresponding to each engineering project sample in each associated field according to each construction risk index for any engineering project sample to obtain risk index data corresponding to the engineering project sample.

10. The apparatus according to claim 9, wherein the association module is specifically configured to: acquiring original historical construction data corresponding to each engineering project sample in each associated field; and carrying out data statistics on the original historical construction data corresponding to the engineering project sample in each associated field for any engineering project sample to obtain the historical construction data corresponding to the engineering project sample in each associated field.

11. The apparatus according to claim 9, wherein the association module is specifically configured to: for any associated domain, determining an associated risk index set associated with the construction risk of the engineering project according to domain knowledge corresponding to the associated domain; for any associated domain, determining at least one construction risk index for the engineering project in an associated risk index set according to the influence degree of each associated risk index in the associated risk index set corresponding to the associated domain on the associated domain and the influence degree of each associated risk index on the construction risk.

12. The apparatus of claim 7, wherein the apparatus further comprises: the report generation module is used for acquiring a risk information formatted file template aiming at the engineering project; formatting the risk information according to the risk information formatting file template to obtain a risk information formatting result; and filling the risk information formatting result into the risk information formatting file template to obtain a risk assessment report of the engineering project.

13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

14. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

15. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.