CN111460033A - Quality risk guarantee supply analysis method and system for use stage of building engineering based on engineering quality insurance - Google Patents
Quality risk guarantee supply analysis method and system for use stage of building engineering based on engineering quality insurance Download PDFInfo
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Abstract
The invention discloses a quality risk guarantee supply analysis method and system for a construction engineering use stage based on engineering quality insurance, and relates to the technical field of big data application. The method comprises the steps of constructing a hardware system for quality risk guarantee supply analysis of a construction engineering use stage on the basis of a theoretical model of demand-supply conformity analysis, selecting a simulated/implemented engineering quality insurance supply scheme by taking an internet technology and big data analysis as means, establishing a demand-supply conformity analysis model aiming at different supply schemes in different regions, and carrying out conformity analysis of the quality risk guarantee supply scheme of the construction engineering use stage from three dimensions of a guarantee range, a guarantee period and a guarantee limit, thereby evaluating the applicability and rationality of the different engineering quality insurance supply schemes.
Description
Technical Field
The invention relates to the technical field of big data application, in particular to a quality risk guarantee supply analysis method and a system for a construction engineering use stage based on engineering quality insurance by taking an internet technology and big data analysis as means.
Background
The project quality insurance is currently in a government test and guide stage, and refers to that under normal use conditions, the structure, water resistance or other agreed items of the protected project are damaged to influence the safety or use due to potential defects of investigation design, construction or materials and the like within the insurance indemnification responsibility period after completion of the protected project, and an insurance company fulfills the insurance of maintenance or indemnification obligation.
Before the implementation of an engineering quality insurance system, China always adopts a quality assurance fund system to provide guarantee for quality risks in the use stage of the construction engineering. After the demand-supply contract degree analysis is carried out on the system, the quality guarantee fund system is found to be far from meeting the demand of quality risk guarantee in the use stage of the building engineering from the dimension of the guarantee period.
In addition, according to the situation of the engineering quality insurance test point areas developed at present, engineering quality insurance schemes tested in different areas are different in dimensions such as guarantee range, guarantee period, guarantee amount and the like, and the problems of whether supply meets requirements, how much supply meets requirements, whether deviation exists between supply and requirements and the like are only qualitatively known, but are not quantitatively analyzed.
The "demand-supply" fitness analysis method in the present invention is a quantitative analysis method for solving the above-described problems.
Disclosure of Invention
The invention aims to overcome the defects and shortcomings of the existing quality risk guarantee mechanism in the use stage of the constructional engineering, and provides a quality risk guarantee supply analysis method and system in the use stage of the constructional engineering based on engineering quality insurance by taking an internet technology and big data analysis as means.
The method is based on a theoretical model of demand-supply conformity analysis, a hardware system of quality risk guarantee supply analysis of a construction engineering use stage is constructed, a simulated/implemented engineering quality insurance supply scheme is selected, a demand-supply conformity analysis model aiming at different supply schemes is established in different regions, conformity analysis of the quality risk guarantee supply scheme of the construction engineering use stage is carried out from three dimensions of a guarantee range, a guarantee period and a guarantee limit, and therefore applicability and reasonability of the different engineering quality insurance supply schemes are evaluated.
The specific solution and method are as follows:
a method and a system for quality risk guarantee supply analysis in the use stage of construction engineering based on engineering quality insurance comprise the following steps:
the first step is as follows: and establishing a theoretical model of demand-supply conformity analysis, and analyzing the relation between supply and demand of the engineering quality insurance scheme.
The second step is that: and constructing a hardware system for quality risk guarantee supply analysis in the use stage of the construction engineering. The hardware system for quality risk guarantee supply analysis in the use stage of the construction engineering comprises: the system comprises a data collection unit, a data management unit, a conformity degree analysis unit, a data operation and maintenance service unit and a networking system.
The third step: and (4) comprehensive weight analysis of each part of the guarantee range of the engineering quality insurance supply scheme.
The fourth step: and analyzing coordinate systems of all parts in the guarantee range of the project quality insurance supply scheme.
The fifth step: and analyzing the fit of the project quality insurance supply scheme from three dimensions of the guarantee range, the guarantee period and the guarantee amount.
And a sixth step: and carrying out visualization data display on the fitting degree and supply degree quantitative analysis results of the engineering quality insurance supply schemes and comparison analysis results among different supply schemes in the modes of texts, charts, demand domain radar maps, supply domain radar maps and the like, and providing services for the demand side.
The seventh step: and storing original data such as project quality complaints, project cost, expert questionnaire investigation results and the like into a data management unit in a classified manner, correspondingly and automatically expanding relevant data such as the mutual influence degree of each part of the guarantee range of the project quality insurance supply scheme and the like, realizing self expansion of the database and forming a self learning function. In the process of continuously accumulating the historical information of the project quality insurance supply scheme, the accuracy of evaluation of the fitness analysis model is improved.
In conclusion, the invention overcomes the defects and the defects of the quality risk guarantee mechanism in the use stage of the existing construction engineering, establishes a demand-supply conformity analysis model based on the supply scheme of the engineering quality insurance, and then performs conformity analysis of the engineering quality insurance on the quality risk guarantee in the use stage of the construction engineering on different supply schemes from three dimensions of guarantee range, guarantee period and guarantee amount by taking the internet technology and big data analysis as means, thereby evaluating the applicability and the rationality of the different engineering quality insurance supply schemes.
The 'demand-supply' conformity degree analysis model in the invention is also suitable for the conformity degree analysis between other supply schemes or products and actual demands, and only needs to determine the contents of the coordinate axes, namely the evaluation influence factors and the positions of the coordinate axes, then analyze the weights of all parts and calculate the conformity degree and the supply degree.
Drawings
FIG. 1 is a schematic diagram of the quality risk assurance supply analysis hardware system in the construction engineering use stage based on the engineering quality insurance.
FIG. 2 is a radar chart of fitness analysis of demand domain and supply domain according to the present invention.
FIG. 3 is a schematic diagram of a hardware system structure for quality risk guarantee supply analysis in the use stage of the construction engineering.
Detailed Description
Other advantages and capabilities of the present invention will be readily apparent to those skilled in the art from the present disclosure by describing the embodiments of the present invention with specific embodiments thereof in conjunction with the accompanying drawings. The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention.
The method is based on a theoretical model of demand-supply fitness analysis, a hardware system of quality risk guarantee supply analysis of a construction engineering use stage is constructed, a simulated/implemented engineering quality insurance supply scheme is selected, demand-supply fitness analysis models aiming at different supply schemes are established in different regions, and fitness analysis of the quality risk guarantee supply scheme of the construction engineering use stage is carried out from three dimensions of a guarantee range, a guarantee period and a guarantee limit.
The invention provides a quality risk guarantee supply analysis hardware system working principle in the use stage of the construction engineering based on the engineering quality insurance (as shown in an attached figure 1).
The first step is as follows: and establishing a theoretical model of demand-supply fitness analysis.
For the conformity analysis of the quality risk guarantee requirement in the use stage of the engineering quality insurance supply building engineering, the invention takes the guarantee range of the main stream scheme of the prior engineering quality insurance system test point (namely the guarantee matching degree of 6 parts of foundation basic engineering, main structure engineering, waterproof engineering, heat preservation engineering, hydropower installation engineering and decoration engineering) as an example to establish a theoretical model of the 'requirement-supply' conformity analysis.
1) After considering the mutual influence degree of each part of the guarantee range and respectively performing comprehensive weight analysis and coordinate system analysis, establishing a coordinate system of the 6 parts, performing numerical calculation on the demand and supply conditions of the 6 parts to obtain coordinate values of each item, and drawing a coincidence degree analysis radar map of a demand domain and a supply domain (as shown in fig. 2).
2) Calculating the degree of engagement
Calculating the area of the overlapped part of the supply domain and the demand domain, comparing the area with the area of the demand domain, and using the formula:
wherein: a is the degree of engagement, ScIs the area of the overlap, SxIs the required partial area. A is always less than or equal to 1, and when A is closer to 1, the supply can meet the requirement, namely, the engineering quality insurance scheme can meet the requirement of actual engineering quality guarantee.
3) Calculating a degree of supply
Wherein: f is the degree of supply, SgIs the supply section area. When F > 0, it means that the supply has a portion exceeding the demand, but the supply does not necessarily satisfy all the demands because the area of the supply domain is larger than that of the demand domain, but does not necessarily cover the entire demand. Similarly, when F < 0, it indicates that the supply is not meeting the demand, but there may be some portion of the supply that exceeds the demand.
4) Based on a comprehensive analysis of the degree of engagement and degree of supply (as shown in table 1).
TABLE 1 conformity results comparison Table
5) The relationship between the supply and demand of the engineering quality insurance scheme is analyzed.
① if all the indexes of the supply domain are less than or equal to the indexes of the demand domain, it is considered that no function of supply exists, and only whether the requirement is completely met, that is, the degree of engagement and the degree of supply, are calculated.
② if there is a larger index in the supply domain than the demand domain, i.e. there may be some function in the supply domain that exceeds the demand, there is a surplus, and at this time, the supply is considered to have a deviation, and further analysis of the deviation degree is needed.
And calculating and comparing the polygon barycenters of the demand domain and the supply domain. Firstly, finding the gravity center of the required domain, setting the gravity center as the origin (0, 0) of the plane coordinate system, and then fixing the position of each vertex of the required domain in the plane coordinate system to obtain the position of each vertex of the required domain in the plane coordinate systemAnd (5) solving a domain radar graph. Then, each vertex coordinate and barycentric coordinate (x) of the supply domain are calculatedg，yg) Comparing L distance between two radar map barycenters with the average value of the required value of each factor of the required domain, calculating deviation degree P, namely:
since L is not less than 0, the smaller P is not less than 0. the smaller the deviation is, the better the fit is.
The second step is that: and constructing a hardware system for quality risk guarantee supply analysis in the use stage of the construction engineering (as shown in the attached figure 3).
The hardware system for quality risk guarantee supply analysis in the use stage of the construction engineering comprises: the system comprises a data collection unit, a data management unit, a conformity degree analysis unit, a data operation and maintenance service unit and a networking system.
The data collection unit includes: the system comprises a data acquisition function, a data transmission function and a data preprocessing function.
The data acquisition function collects relevant information (including guarantee ranges, guarantee period and guarantee amount of different project quality insurance supply schemes, quality complaint quantity and project cost of each part in the guarantee ranges, expert questionnaire investigation results and other data) required by the demand-supply conformity analysis aiming at different project quality insurance supply schemes through acquisition modes such as manual entry, expert questionnaire investigation and the like. The collected data includes formats such as text, tables, speech (which may be translated into text), pictures, video, and so forth. The data transmission function is that the data are respectively uploaded to the data management unit from the terminals such as the PC terminal and the mobile terminal at a high speed through the networking system for classified storage. The data preprocessing function can perform operations such as screening, classifying, describing, editing, deleting, adjusting and the like on the collected data.
The data management unit, namely the fitness analysis base database management unit, comprises: foundation engineering quality complaint and engineering cost database, main structure engineering quality complaint and engineering cost database, waterproof engineering quality complaint and engineering cost database, heat preservation engineering quality complaint and engineering cost database, hydroelectric installation engineering quality complaint and engineering cost database, decoration engineering quality complaint and engineering cost database, expert questionnaire investigation result database, all parts mutual influence degree database, etc. Meanwhile, other databases of newly added parts and corresponding databases of the mutual influence degree between the newly added parts and the existing parts can be added according to the guarantee range of different project quality insurance supply schemes, for example, if the project quality insurance supply scheme in Beijing city comprises an elevator project (the project quality insurance supply scheme in Shanghai city does not comprise), an elevator project quality complaint and project cost database needs to be correspondingly added, and the mutual influence degree between the elevator project and other projects in the guarantee range is stored in the database.
The method is used for completing data synchronization between upstream and downstream unit ports and data classification storage and management through the forms of basic data (namely guarantee range, guarantee period, guarantee amount and the like) of an engineering quality insurance supply scheme, quality complaint quantity and engineering cost data of each part in the guarantee range, quality complaint quantity and engineering cost proportion data of each guarantee part, expert questionnaire investigation result data and the like, so as to be used for analyzing and applying 'demand-supply' conformity aiming at different engineering quality insurance supply schemes.
The engagement degree analysis unit includes: the system comprises an integrated weight analysis function, a coordinate system analysis function, a guarantee range conformity analysis function, a guarantee period conformity analysis function, a guarantee limit conformity analysis function and a comparison analysis function.
The comprehensive weight analysis function is used for determining the comprehensive weight of each part of the guarantee range of the engineering quality insurance supply scheme through the weight and value calculation of influence factors (including quality complaint quantity, engineering cost and quality defect mutual influence degree) of each part of the guarantee range in the engineering quality insurance supply scheme.
And the coordinate system analysis function is used for determining coordinate axis positions and sequences in the radar map of the supply domain and the demand domain corresponding to each part of the guarantee range of the engineering quality insurance supply scheme.
And the guarantee range integrating degree analyzing function is used for determining radar maps of demand domains and supply domains of the guarantee range and calculating integrating degree and supply degree of the guarantee range.
And the guarantee period integrating degree analyzing function is used for determining radar maps of demand domains and supply domains of the guarantee period and calculating integrating degree and supply degree of the guarantee period.
And the guarantee quota integrating degree analyzing function is used for determining radar maps of a demand domain and a supply domain of the guarantee quota and calculating integrating degree and supply degree of the guarantee quota.
And the comparison analysis function is used for comparing and analyzing the information of the guarantee range conformity, the guarantee period conformity, the guarantee limit conformity and the like among different engineering quality insurance supply schemes to obtain corresponding comparison analysis results.
The data management unit and the integrating degree analysis unit can be connected with the internet, and real-time information interaction between the user side and the integrating degree analysis unit is achieved through the networking system.
The data operation and maintenance service unit is used for providing services such as quantitative analysis results of the degree of fit and the degree of supply of different engineering quality insurance supply schemes, comparison analysis results among different supply schemes, visualization data display (such as text display, chart display, radar map display of demand domains and supply domains) and the like according to different requirements of relevant main bodies of engineering quality insurance markets such as government departments, insurance companies, reinsurance companies, industry associations and the like.
The third step: and (4) comprehensive weight analysis of each part of the guarantee range of the engineering quality insurance supply scheme.
Firstly, dividing the influence factors of the weight of each part (such as foundation engineering, main structure engineering, waterproof engineering, heat preservation engineering, hydropower installation engineering, decoration engineering and the like) of the guarantee range of the planned/implemented project quality insurance supply scheme into 3 parts of quality complaint quantity (the quality complaint quantity ratio reflects the probability of the quality problem of a certain part of the guarantee range), construction cost (the average construction cost ratio can reflect the upper limit of the direct loss of each part when the quality problem occurs in terms of money amount) and the mutual influence degree of the quality defects (reflects the influence degree of the quality problem of a certain part in the guarantee range on other parts), and carrying out expert questionnaire investigation on the 3 influencing factors to collect data, constructing a judgment matrix and carrying out consistency check, thereby obtaining the respective weights of the 3 influencing factors.
Then, the 3 influencing factors are assigned values. Determining the value of the influence factor of the quality complaint quantity through the quality complaint quantity proportion data of each part of the guarantee range of the supply scheme; determining the value of the influence factor of the construction cost according to the construction cost ratio data of each part of the guarantee range of the supply scheme; and constructing an average mutual influence degree matrix among all parts of the guarantee range of the supply scheme through expert questionnaire investigation, carrying out reliability analysis and determining the value of the influence factor of the mutual influence degree of the quality defects after meeting the requirements.
And finally, analyzing the weight and the value of the influence factors of the quality complaints, the construction cost and the mutual influence degree of each part of the guarantee range of the engineering quality insurance supply scheme, and calculating the comprehensive weight of each part of the guarantee range of the engineering quality insurance supply scheme.
The fourth step: and analyzing coordinate systems of all parts in the guarantee range of the project quality insurance supply scheme.
And determining coordinate axis positions and sequences in the radar map of the supply domain and the demand domain corresponding to each part of the guarantee range of the supply scheme and the demand domain by analyzing the mutual influence degree of each part of the guarantee range of the engineering quality insurance supply scheme. Namely: the larger the mutual influence degree is, the closer the corresponding coordinate axis distance is, whereas the smaller the mutual influence degree is, the farther the corresponding coordinate axis distance is.
The fifth step: and analyzing the fit of the project quality insurance supply scheme from three dimensions of the guarantee range, the guarantee period and the guarantee amount.
Analyzing the conformity of the guarantee range, solving coordinate values of each demand domain in the guarantee range by the comprehensive weight values of all parts of the guarantee range of the engineering quality insurance supply scheme, and generating a demand domain radar map; calculating coordinate values of each item of the supply domain of the guarantee range according to the comprehensive weight values of each part of the guarantee range of the engineering quality insurance supply scheme and specific supply contents (such as a 'main insurance + additional insurance' scheme and a 'main insurance' scheme in the engineering quality insurance clauses reported by the current domestic insurance company to the bank insurance policy and supervision) and generating a supply domain radar map; the areas of the demand domain, the supply domain and the overlap region are calculated to determine the degree of engagement and the degree of supply of the guarantee range.
The conformity degree analysis of the guarantee period is carried out, the time period division of the guarantee period is carried out according to the guarantee period of each part in the guarantee range of the planned/implemented project quality insurance supply scheme, and the empowerment is carried out on different time periods according to the investigation data of the quality defect occurrence time of each part in the guarantee range; calculating by taking the provision of the minimum guarantee period of the construction project under the normal use condition in the fortieth clause of the construction project quality management regulations and combining the comprehensive weight values of all parts of the guarantee range of the project quality insurance supply scheme and the weights of all time periods as a reference, solving coordinate values of demand domains of the guarantee period, and generating a demand domain radar chart; calculating according to the guarantee period of each part of the guarantee range of the planned/implemented project quality insurance supply scheme by combining the comprehensive weight value of each part of the guarantee range of the supply scheme and the weight of each time period, solving coordinate values of each item of a supply domain of the guarantee period, and generating a supply domain radar chart; the areas of the demand region, the supply region, and the overlap region are calculated to determine the degree of engagement and the degree of supply of the guarantee period.
The contract degree analysis of the guarantee amount considers the inflation factor of the general cargo (namely the time value of the guarantee amount) according to the long-tail characteristic of the engineering quality insurance, calculates by combining the construction cost weight of each part, the comprehensive weight value of each part and the weight of each time period in the guarantee range of the supply scheme, calculates each coordinate value of the guarantee amount demand field under the certain general cargo inflation rate i level, and generates a demand field radar map; calculating by combining the engineering cost weight of each part and the comprehensive weight value of each part in the guarantee range of the supply scheme according to the upper limit of the guarantee limit of the engineering quality insurance supply scheme by taking the engineering cost during the investment and guarantee as the guarantee limit, solving each coordinate value of the supply domain of the guarantee limit, and generating a supply domain radar map; the areas of the demand region, the supply region and the overlap region are calculated, and the degree of engagement and the degree of supply of the guarantee credit at a certain level of the inflation rate i of the shipment are determined.
And a sixth step: and performing visualization data display on the quantitative analysis result of the conformity and the supply degree of the project quality insurance supply scheme and the comparison analysis result among different supply schemes in the modes of texts, charts, demand domain radar pictures, supply domain radar pictures and the like through a data operation and maintenance service unit to provide service for a demand party.
The seventh step: the original data such as project quality complaints, project cost, expert questionnaire investigation results and the like are classified and stored in a data management unit (namely a conformity analysis basic database management unit), and relevant data such as the mutual influence degree of each part of the guarantee range of the project quality insurance supply scheme is correspondingly and automatically expanded, so that the self-expansion of the database is realized, and the self-learning function is formed. In the process of continuously accumulating the historical information of the project quality insurance supply scheme, the accuracy of evaluation of the fitness analysis model is improved.
In conclusion, the invention overcomes the defects and the defects of the quality risk guarantee mechanism in the use stage of the existing construction engineering, establishes a demand-supply conformity analysis model based on the quality insurance supply scheme according to the characteristics of the quality risk in the use stage of the construction engineering and the demands of ownership on the quality guarantee of the construction engineering, and then performs conformity analysis of the quality insurance of the construction engineering in the use stage of the construction engineering on different supply schemes from three dimensions of guarantee range, guarantee period and guarantee amount by taking the internet technology and big data analysis as means, thereby evaluating the applicability and the rationality of the different quality insurance supply schemes.
The "demand-supply" fitness analysis model in the present invention is also applicable to fitness analysis between other supply schemes or products and actual demands (for example, the aforementioned guarantee period fitness analysis of the current quality assurance fund scheme), and it is only necessary to determine the contents of the coordinate axis, i.e., evaluate the influencing factors and the positions of the coordinate axis, and then analyze the weights of the respective parts to calculate the fitness and the supply degree.
Claims (6)
1. A method and a system for quality risk guarantee supply analysis in the use stage of construction engineering based on engineering quality insurance are characterized by comprising the following steps:
A. establishing a theoretical model of 'demand-supply' conformity degree analysis, and analyzing the relation between the supply and the demand of the engineering quality insurance scheme;
B. the method for constructing the hardware system for quality risk guarantee supply analysis in the use stage of the constructional engineering comprises the following steps: the system comprises a data collection unit, a data management unit, a conformity degree analysis unit, a data operation and maintenance service unit and a networking system;
C. comprehensive weight analysis of each part of the guarantee range of the engineering quality insurance supply scheme;
D. analyzing coordinate systems of all parts in the guarantee range of the engineering quality insurance supply scheme;
E. performing fit degree analysis on the project quality insurance supply scheme from three dimensions of a guarantee range, a guarantee period and a guarantee amount;
F. carrying out visualization data display on the quantitative analysis result of the engagement degree and the supply degree of the project quality insurance supply scheme and the comparison analysis result among different supply schemes in the modes of texts, charts, demand domain radar maps, supply domain radar maps and the like, and providing services for a demand party;
G. and storing original data such as project quality complaints, project cost, expert questionnaire investigation results and the like into a data management unit in a classified manner, correspondingly and automatically expanding relevant data such as the mutual influence degree of each part of the guarantee range of the project quality insurance supply scheme and the like, realizing self expansion of the database and forming a self learning function.
2. The construction quality insurance-based construction project use-stage quality risk guarantee supply analysis method and system according to claim 1, wherein the a.
① establishing coordinate systems of each part in the guarantee range of the project quality insurance supply scheme, calculating coordinate values according to the demand and supply conditions of each part, and drawing a coincidence degree analysis radar chart of the demand domain and the supply domain;
② calculate the degree of engagement:
wherein: a is the degree of engagement, ScFor supply and demand overlap area, SxThe required partial area;
③ calculating the degree of supply:
wherein: f is the degree of supply, SgIs the area of the supply portion;
④ comprehensive analysis based on degree of engagement and degree of supply:
contract result comparison table
⑤ analyzing the relationship between supply and demand for the engineering quality insurance scheme;
⑥, calculating and comparing the polygon barycenters of the demand domain and the supply domain, and calculating the deviation degree P, namely:
3. the construction quality insurance-based construction project use-stage quality risk guarantee supply analysis method and system according to claim 1, wherein the step b further comprises:
the data collection unit includes: a data acquisition function, a data transmission function and a data preprocessing function;
the data management unit, namely the fitness analysis base database management unit, comprises: foundation engineering quality complaint and engineering cost database, major structure engineering quality complaint and engineering cost database, waterproof engineering quality complaint and engineering cost database, heat preservation engineering quality complaint and engineering cost database, hydropower installation engineering quality complaint and engineering cost database, decoration engineering quality complaint and engineering cost database, expert questionnaire investigation result database, each part mutual influence degree database, etc., meanwhile, can add other newly added part database and corresponding and existing each mutual influence degree database, etc. according to the guarantee range of different engineering quality insurance supply schemes;
the engagement degree analysis unit includes: the method comprises the steps of integrating a weight analysis function, a coordinate system analysis function, a guarantee range conformity analysis function, a guarantee period conformity analysis function, a guarantee limit conformity analysis function and a comparison analysis function;
the data management unit and the integrating degree analysis unit can be connected with the internet, and real-time information interaction between the user side and the integrating degree analysis unit is realized through a networking system;
the data operation and maintenance service unit is used for providing services such as quantitative analysis results of the fit degree and the supply degree of different engineering quality insurance supply schemes, comparison analysis results among different supply schemes, visualization data display and the like according to different requirements of relevant main bodies of engineering quality insurance markets such as government departments, insurance companies, reinsurance companies, industry associations and the like.
4. The construction quality insurance-based construction project use-stage quality risk guarantee supply analysis method and system according to claim 1, wherein the c.
① dividing the influence factors of each weight of each part in the guarantee range of the planned/implemented project quality insurance supply scheme into 3 parts of quality complaint quantity, project cost and quality defect mutual influence degree, constructing a judgment matrix, and calculating the weight of each influence factor;
②, assigning values to the influence factors, namely determining the influence factor value of the quality complaint quantity through the quality complaint quantity ratio data of each part of the supply scheme guarantee range, determining the influence factor value of the construction cost through the construction cost ratio data of each part of the supply scheme guarantee range, constructing an average mutual influence degree matrix among the parts of the supply scheme guarantee range through expert questionnaire, carrying out reliability analysis, and determining the influence factor value of the mutual influence degree of the quality defects;
③, calculating the comprehensive weight of each part of the guarantee range of the project quality insurance supply proposal.
5. The construction quality insurance-based construction project use-stage quality risk guarantee supply analysis method and system according to claim 1, wherein the step d further comprises:
and determining coordinate axis positions and sequences in the radar map of the supply domain and the demand domain corresponding to the parts of the guarantee range of the supply scheme.
6. The construction quality insurance-based construction project use-stage quality risk guarantee supply analysis method and system according to claim 1, wherein the e.
Analyzing the conformity of the guarantee range, respectively solving coordinate values of a demand domain and a supply domain of the guarantee range, generating a radar map of the demand domain and a radar map of the supply domain, and calculating the conformity and the supply degree of the guarantee range;
analyzing the conformity of the guarantee period, respectively solving the coordinate values of a demand domain and a supply domain of the guarantee period, generating a radar map of the demand domain and a radar map of the supply domain, and calculating the conformity and the supply degree of the guarantee period;
and analyzing the conformity of the guarantee quota, respectively calculating coordinate values of a demand domain and a supply domain of the guarantee quota, generating a radar map of the demand domain and a radar map of the supply domain, and calculating the conformity and the supply degree of the guarantee quota at the level of the expansion rate i of a certain communication cargo.
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