CN112308467B - Engineering project risk assessment system based on big data - Google Patents

Engineering project risk assessment system based on big data Download PDF

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CN112308467B
CN112308467B CN202011348520.3A CN202011348520A CN112308467B CN 112308467 B CN112308467 B CN 112308467B CN 202011348520 A CN202011348520 A CN 202011348520A CN 112308467 B CN112308467 B CN 112308467B
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张燎
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Abstract

The invention discloses an engineering project risk assessment system based on big data, which is used for an engineering project investment platform and comprises a project analysis module, a server, a monitoring module, a risk assessment module and a survey module; the project analysis module is used for receiving and analyzing the basic information of the engineering project to obtain the construction value of the engineering project; the monitoring module is used for monitoring the transaction information of the engineering project investment platform within the preset time and analyzing the transaction information; the risk assessment module is used for carrying out risk assessment on the engineering projects, obtaining assessment coefficients of the engineering projects by combining construction values, field attraction values, project attraction values, scale values, engineering intervals and credit values, assessing the engineering projects from multiple dimensions, enabling assessment results to have certain reference values, arranging the corresponding engineering projects according to the sequence of the assessment coefficients from high to low by the server, and facilitating users to select proper engineering projects for investment.

Description

Engineering project risk assessment system based on big data
Technical Field
The invention relates to the technical field of project management, in particular to an engineering project risk assessment system based on big data.
Background
The engineering project is a project with engineering construction as a carrier, and is a disposable engineering construction task as a managed object. The method takes a building or a structure as a target product, needs to pay a certain fee, is completed in a certain time according to a certain program, and meets the quality requirement.
With the rapid development of information technology, new technologies represented by mobile internet, internet of things, cloud computing and the like are widely applied to various social industries, the production and living modes of people are continuously changed, and the huge progress of society is promoted. A user who invests in an engineering project makes an assessment of the invested engineering project before investing; because the engineering project investment platform has a large number of engineering projects of which funds are to be collected, the maximum risk of investment participation of users is that the potential risk of the engineering projects cannot be scientifically and reasonably identified, so that the actual risk of part of the engineering projects is wrongly evaluated, and further the problems of delay of the user investment projects, loss of investment and the like occur, and the conventional engineering project investment platform cannot effectively evaluate the engineering projects to provide references for investment of the users; therefore, the engineering project risk assessment system based on the big data is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an engineering project risk assessment system based on big data. According to the method, the risk evaluation module is used for carrying out risk evaluation on the engineering projects, the evaluation coefficients of the engineering projects are obtained by combining the construction values, the field attraction values, the project attraction values, the scale values, the engineering spacing and the credit values, the engineering projects are evaluated from multiple dimensions, so that the evaluation results have certain reference values, the server arranges the corresponding engineering projects according to the evaluation coefficients from high to low, and a user can conveniently select the appropriate engineering projects for investment.
The purpose of the invention can be realized by the following technical scheme: a big data-based engineering project risk assessment system is applied to an engineering project investment platform and comprises a data acquisition module, a project analysis module, a server, a storage module, a monitoring module, a display, a risk assessment module and a survey module;
the data acquisition module is used for acquiring basic information of the engineering project in the engineering project investment platform and transmitting the basic information of the engineering project to the project analysis module;
the project analysis module is used for receiving and analyzing the basic information of the engineering project to obtain the construction value of the engineering project; the project analysis module is used for transmitting the construction value SC of the engineering project to the server, and the server is used for receiving the construction value SC of the engineering project and transmitting the construction value SC of the engineering project to the storage module for storage;
the monitoring module is used for monitoring the transaction information of the engineering project investment platform within the preset time and analyzing the transaction information to obtain project field attraction table information and engineering project attraction table information;
the risk evaluation module is used for carrying out risk evaluation on the engineering project to obtain an evaluation coefficient of the engineering project, and the specific evaluation steps are as follows:
and (4) SS1: automatically acquiring a construction value SC of the engineering project from a storage module;
and (4) SS2: automatically acquiring a field attraction value Q1 of the project field from the project field attraction table information according to the project field of the engineering project; acquiring an item attraction value Q2 of the engineering item from the engineering item attraction table information;
and (4) SS3: acquiring a construction company of the engineering project, and acquiring a scale value GX of the construction company;
and (4) SS: acquiring position information of a user according to a GPS positioning technology, calculating the distance difference between the position of the user and the position of an engineering project to obtain an engineering distance and marking the engineering distance as RL;
SS5: normalizing the construction value SC, the field attraction value Q1, the project attraction value Q2, the scale value GX and the project distance RL and taking the numerical values;
obtaining an evaluation coefficient PS of the engineering project by using a formula PS = (SC × C1+ Q1 × C2+ Q2 × C3+ GX × C4+1/RL × C5) × XF-f, wherein C1, C2, C3, C4 and C5 are coefficient factors, and f is a correction coefficient and takes the value of 1.3236; in the formula, XF is the reputation value of the construction company;
the risk assessment module is used for transmitting assessment coefficients PS of the engineering projects to the server, and the server arranges the corresponding engineering projects according to the sequence of the assessment coefficients PS from high to low and transmits the engineering projects to the display module for real-time display.
Further, the specific analysis steps of the project analysis module are as follows:
the method comprises the following steps: marking the estimated construction cost of the engineering project as R1, and marking the estimated construction time of the engineering project as T1;
step two: acquiring an engineering project position, and marking an area with the radius of rt as a construction area by taking the engineering project position as a center; wherein rt is a preset value;
acquiring the number of regional population in a construction area and marking as L1;
acquiring the per-capita GDP of regional population in a construction area and marking as G1;
acquiring the unemployment rate of regional population in a construction area and marking as Y1;
obtaining a region coefficient Wc of the engineering project by using a formula Wc = L1 xA 1+ G1 xA 2-Y1 xA 3; wherein A1, A2 and A3 are all preset coefficient factors;
step three: marking the recruitment fund amount of the engineering project as R2, marking the recruited fund of the engineering project as R3, and then marking the remaining recruitment fund of the engineering project as R4= R2-R3;
step four: calculating the time difference between the recruitment starting time and the recruitment ending time to obtain recruitment duration and marking the recruitment duration as T2;
calculating the time difference between the current time of the system and the recruitment ending time to obtain a buffer time length, and marking the buffer time length as T3;
step five: normalizing the estimated construction cost, the estimated construction time length, the area coefficient, the recruitment fund amount, the remaining recruitment fund, the recruitment time length and the buffer time length and taking the values of the estimated construction cost, the estimated construction time length, the area coefficient, the recruitment fund amount, the remaining recruitment fund, the recruitment time length and the buffer time length;
using formulas
Figure BDA0002800593530000041
Acquiring a construction value SC of the engineering project; wherein a1, a2, a3, a4, b1, b2 and b3 are all preset coefficient factors.
Further, the specific analysis rule of the monitoring module is as follows:
s1: acquiring a project field of an engineering project, accumulating the times of deals in the same project field according to the project field to form field frequency, and marking the field frequency as F1;
accumulating the investment amount of the same project field according to the project field to form the total field investment; marking the total investment of the field as F2; the total field investment F2 corresponds to the field frequency F1 one by one;
s2: obtaining a domain attraction value Q1 by using a formula Q1= F1 × A4+ F2 × A5; wherein A4 and A5 are proportionality coefficients;
s3: sorting the project fields according to the size of the field attraction value Q1 and making project field attraction table information;
s4: accumulating the times of deals of the same engineering project according to the engineering project to form a project frequency, and marking the project frequency as X1;
accumulating the investment amount of the same engineering project according to the engineering project to form total project investment; marking the total investment of the project as X2; the total investment X2 of the project corresponds to the frequency X1 of the project one by one;
s5: obtaining an item attraction value Q2 by using a formula Q2= X1 xA 6+ X2 xA 7; wherein A6 and A7 are proportionality coefficients;
s6: sequencing the engineering projects according to the size of the project attraction value Q2 and making the engineering project attraction table information;
the monitoring module is used for transmitting the project field attraction table information and the project attraction table information to the server, and the server receives the project field attraction table information and the project attraction table information transmitted by the monitoring module and transmits the project field attraction table information and the project attraction table information to the storage module for storage; and the storage module is used for transmitting the item field attraction table information and the engineering item attraction table information to the display for real-time display.
Further, the investigation module is used for collecting basic information and operation information of engineering project construction companies, analyzing and processing the basic information and the operation information, and the specific processing steps are as follows:
WW1: acquiring basic information of a construction company; the basic information includes the establishment time of the construction company, registered capital, personnel size, operating range, company type and company name;
WW2: calculating the time difference between the establishment time of the construction company and the current time of the system to obtain the establishment time length, and marking the establishment time length as CT;
acquiring registered capital of a construction company, and marking the registered capital as CZ;
the method comprises the steps of obtaining company types of a construction company, setting each company type to correspond to a preset value, matching the company type of the construction company with all the company types to obtain corresponding preset values, and marking the preset values as CL;
WW3: acquiring the scale of personnel of a construction company, and marking the scale of the personnel as CR;
acquiring the average wages of employees of a construction company and marking the average wages as CE;
WW4: acquiring the operation range of the construction company, and marking the number of fields related to the operation range as CS;
using a formula
Figure BDA0002800593530000051
Obtaining a scale value GX of the construction company; wherein d1, d2, d3, d4, d5 and d6 are proportionality coefficients, and beta is a correction factor and takes a value of 1.023569;
WW5: acquiring the operation information of a construction company;
marking the floating funds on the current financial account of the construction company as LA;
WW6: marking the quantity of engineering projects finished by a construction company three years before the current time of the system as LS; further analysis is carried out on the finished engineering project; the method comprises the following steps:
WW61: marking the quality scores of the engineering projects as Qi, summing all the quality scores Qi and taking the average value to obtain an average quality score Qs;
WW62: marking the profit coefficient of each engineering project as Hm, and obtaining an average profit coefficient Hs according to an average value calculation formula;
WW63: setting a preset profitability coefficient threshold value as HT; marking the profit coefficient Hm which is larger than HT as THm; counting the number of THm and marking as LT1;
using a formula
Figure BDA0002800593530000061
Obtaining a profit coefficient deviation value HZ;
WW7: obtaining a credit value XF of a construction company by using a formula XF = LA × g1+ LS × g2+ Qs × g3+ Hs × g4+ HZ × g 5;
the survey module is used for transmitting a scale value GX and a credit value XF of a construction company to the risk assessment module; the risk assessment module is used for transmitting the scale value GX and the reputation value XF of the construction company to the storage module for storage.
Further, the basic information of the engineering project comprises the estimated construction cost, the estimated construction time, the engineering project position, the collected fund amount, the collected time and the project field of the engineering project; the recruitment time comprises a recruitment start time and a recruitment end time; the deal information includes investors, engineering projects, investment money and investment time.
The invention has the beneficial effects that:
1. the project analysis module receives and analyzes basic information of an engineering project; acquiring an engineering project position, taking the engineering project position as a center, marking a region with the radius of rt as a construction region, acquiring the number of regional population, the average human population (GDP) and the failure rate in the construction region, and acquiring a region coefficient Wc of the engineering project by using a formula Wc = L1 xA 1+ G1 xA 2-Y1 xA 3; obtaining a construction value of the engineering project by combining the estimated construction cost, the estimated construction time, the collected fund amount, the collected time and the buffer time of the engineering project;
2. the monitoring module is used for monitoring the transaction information of the engineering project investment platform within the preset time and analyzing the transaction information to obtain project field attraction table information and engineering project attraction table information; the investigation module is used for acquiring basic information and operation information of an engineering project construction company, analyzing and processing the basic information and the operation information, calculating a time difference between the establishment time of the construction company and the current time of the system to obtain establishment duration, and combining the registered capital, the preset value of company type, the personnel scale, the average wage and the operation range of the construction company; obtaining the scale value GX of the construction company; acquiring the operation information of a construction company; marking the liquidity funds on the current financial account of the construction company as LA; marking the quantity of engineering projects finished by a construction company three years before the current time of the system as LS; further analysis is carried out on the finished engineering project; obtaining an average quality score Qs and an average profit coefficient Hs of the engineering project; setting a preset profit coefficient threshold value as HT; marking the profit coefficient Hm which is greater than HT as THm; counting the number of THm and marking as LT1; using a formula
Figure BDA0002800593530000071
Obtaining a profit coefficient bias value HZ; obtaining a credit value XF of a construction company by using a formula XF = LA multiplied by g1+ LS multiplied by g2+ Qs multiplied by g3+ Hs multiplied by g4+ HZ multiplied by g 5;
3. according to the invention, the risk evaluation module is used for carrying out risk evaluation on the engineering projects, the evaluation coefficients of the engineering projects are obtained by combining the construction values, the field attraction values, the project attraction values, the scale values, the engineering spacing and the credit values, the evaluation results are enabled to have certain reference values by evaluating the engineering projects from multiple dimensions, the server arranges the corresponding engineering projects according to the evaluation coefficients from high to low, and a user can conveniently select the proper engineering projects for investment.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an engineering project risk assessment system based on big data is applied to an engineering project investment platform, and includes a data acquisition module, a project analysis module, a server, a storage module, a monitoring module, a display, a risk assessment module, and a survey module;
the data acquisition module is used for acquiring basic information of the engineering project in the engineering project investment platform, wherein the basic information of the engineering project comprises estimated construction cost, estimated construction duration, engineering project position, collected fund amount, collected time and project field of the engineering project; basic information of the engineering project is transmitted to a project analysis module; the recruitment time comprises a recruitment starting time and a recruitment ending time;
the project analysis module is used for receiving and analyzing the basic information of the engineering project to obtain the construction value of the engineering project; the specific analysis steps are as follows:
the method comprises the following steps: marking the estimated construction cost of the engineering project as R1, and marking the estimated construction duration of the engineering project as T1;
step two: acquiring an engineering project position, and marking an area with the radius of rt as a construction area by taking the engineering project position as a center; wherein rt is a preset value;
acquiring the number of regional population in a construction area and marking as L1;
acquiring the per-capita GDP of regional population in a construction area and marking as G1;
acquiring the unemployment rate of regional population in a construction area and marking as Y1;
obtaining a region coefficient Wc of the engineering project by using a formula Wc = L1 xA 1+ G1 xA 2-Y1 xA 3; wherein A1, A2 and A3 are all preset coefficient factors;
step three: marking the collected fund amount of the engineering project as R2, marking the collected fund of the engineering project as R3, and then marking the residual collected fund of the engineering project as R4= R2-R3;
step four: calculating the time difference between the recruitment starting time and the recruitment ending time to obtain the recruitment time length and marking the recruitment time length as T2;
calculating the time difference between the current time of the system and the recruitment ending time to obtain a buffer duration and marking the buffer duration as T3;
step five: normalizing the estimated construction cost, the estimated construction time length, the area coefficient, the recruitment fund amount, the remaining recruitment fund, the recruitment time length and the buffer time length and taking the values of the estimated construction cost, the estimated construction time length, the area coefficient, the recruitment fund amount, the remaining recruitment fund, the recruitment time length and the buffer time length;
using formulas
Figure BDA0002800593530000091
Acquiring a construction value SC of the engineering project; wherein a1, a2, a3, a4, b1, b2 and b3 are all preset coefficient factors;
the project analysis module is used for transmitting the construction value SC of the engineering project to the server, and the server is used for receiving the construction value SC of the engineering project and transmitting the construction value SC of the engineering project to the storage module for storage;
the monitoring module is used for monitoring deal information of the engineering project investment platform within preset time and analyzing the deal information, wherein the deal information comprises investors, engineering projects, investment amount and investment time; the specific analysis rule is as follows:
s1: acquiring project fields of engineering projects, accumulating the times of deals in the same project field according to the project fields to form field frequency, and marking the field frequency as F1;
accumulating the investment amount of the same project field according to the project field to form the total field investment; marking the total investment of the field as F2; the total field investment F2 corresponds to the field frequency F1 one by one;
s2: obtaining a domain attraction value Q1 by using a formula Q1= F1 × A4+ F2 × A5; wherein A4 and A5 are proportionality coefficients;
s3: sorting the project fields according to the size of the field attraction value Q1 and making project field attraction table information;
s4: accumulating the times of deals of the same engineering project according to the engineering project to form a project frequency, and marking the project frequency as X1;
accumulating the investment sum of the same engineering project according to the engineering project to form total project investment; marking the total investment of the project as X2; the total investment X2 of the project corresponds to the frequency X1 of the project one by one;
s5: obtaining an item attraction value Q2 by using a formula Q2= X1 × A6+ X2 × A7; wherein A6 and A7 are proportionality coefficients;
s6: sequencing the engineering projects according to the size of the project attraction value Q2 and making the engineering project attraction table information;
the monitoring module is used for transmitting the project field attraction table information and the project attraction table information to the server, and the server receives the project field attraction table information and the project attraction table information transmitted by the monitoring module and transmits the project field attraction table information and the project attraction table information to the storage module for storage; the storage module is used for transmitting the item field attraction table information and the engineering item attraction table information to the display for real-time display;
the risk evaluation module is used for carrying out risk evaluation on the engineering project to obtain an evaluation coefficient of the engineering project, and the specific evaluation steps are as follows:
and (4) SS1: automatically acquiring a construction value SC of the engineering project from a storage module;
and (4) SS2: automatically acquiring a field attraction value Q1 of the project field from project field attraction table information according to the project field of the engineering project; acquiring an item attraction value Q2 of the engineering item from the engineering item attraction table information;
and (4) SS3: acquiring a construction company of the engineering project, and acquiring a scale value GX of the construction company;
and (4) SS: acquiring position information of a user according to a GPS positioning technology, calculating the distance difference between the position of the user and the position of an engineering project to obtain an engineering distance and marking the engineering distance as RL;
and SS5: normalizing the construction value SC, the field attraction value Q1, the project attraction value Q2, the scale value GX and the engineering distance RL and taking the numerical values;
obtaining an evaluation coefficient PS of the engineering project by using a formula PS = (SC × C1+ Q1 × C2+ Q2 × C3+ GX × C4+1/RL × C5) × XF-f, wherein C1, C2, C3, C4 and C5 are coefficient factors, and f is a correction coefficient and takes the value of 1.3236; wherein XF is the reputation value of the construction company;
the risk assessment module is used for transmitting assessment coefficients PS of the engineering projects to the server, and the server arranges the corresponding engineering projects according to the assessment coefficients PS from high to low and transmits the engineering projects to the display module for real-time display so as to provide reference for investment of users;
the investigation module is used for collecting basic information and operation information of an engineering project construction company and analyzing and processing the basic information and the operation information, and the specific processing steps are as follows:
WW1: acquiring basic information of a construction company; the basic information includes the establishment time of the construction company, registered capital, personnel size, scope of operation, company type, and company name;
WW2: calculating the time difference between the establishment time of the construction company and the current time of the system to obtain establishment time, and marking the establishment time as CT;
acquiring registered capital of a construction company, and marking the registered capital as CZ;
the method comprises the steps of obtaining company types of a construction company, setting each company type to correspond to a preset value, matching the company type of the construction company with all the company types to obtain corresponding preset values, and marking the preset values as CL;
WW3: acquiring the scale of personnel of a construction company, and marking the scale of the personnel as CR;
acquiring the average wages of employees of a construction company and marking the average wages as CE;
WW4: acquiring the operation range of the construction company, and marking the number of fields related to the operation range as CS;
using formulas
Figure BDA0002800593530000111
Obtaining the scale value GX of the construction company; wherein d1, d2, d3, d4, d5 and d6 are proportionality coefficients, and beta is a correction factor and takes a value of 1.023569;
WW5: acquiring the operation information of a construction company; the operation information comprises mobile funds, finished engineering projects, quality scores and profit coefficients of the engineering projects;
marking the floating funds on the current financial account of the construction company as LA;
WW6: marking the quantity of engineering projects finished by a construction company three years before the current time of the system as LS; further analysis is carried out on the finished engineering project; the method comprises the following steps:
WW61: marking the quality scores of the engineering projects as Qi, summing all the quality scores Qi and taking the average value to obtain an average quality score Qs;
WW62: marking the profit coefficient of each engineering project as Hm, and obtaining an average profit coefficient Hs according to an average value calculation formula;
WW63: setting a preset profitability coefficient threshold value as HT; marking the profit coefficient Hm which is greater than HT as THm; counting the number of THm and marking as LT1;
using formulas
Figure BDA0002800593530000121
Obtaining a profit coefficient bias value HZ;
WW7: obtaining a credit value XF of a construction company by using a formula XF = LA × g1+ LS × g2+ Qs × g3+ Hs × g4+ HZ × g 5; wherein g1, g2, g3, g4 and g5 are all preset coefficients;
the investigation module is used for transmitting the scale value GX and the reputation value XF of the construction company to the risk assessment module; the risk assessment module is used for transmitting the scale value GX and the reputation value XF of the construction company to the storage module for storage.
The working principle of the invention is as follows:
when the engineering project risk assessment system works, firstly, a project analysis module receives and analyzes basic information of an engineering project; acquiring the position of an engineering project, taking the position of the engineering project as a center, marking a region with the radius of rt as a construction region, acquiring the number of regional population, the per capita GDP and the loss rate in the construction region, and acquiring a region coefficient Wc of the engineering project by using a formula Wc = L1 xA 1+ G1 xA 2-Y1 xA 3; obtaining a construction value of the engineering project by combining the estimated construction cost, the estimated construction time, the collected fund amount, the collected time and the buffer time of the engineering project; monitoring the deal information of the engineering project investment platform within preset time through a monitoring module and analyzing the deal information to obtain the project field of the engineering project, accumulating the deal times of the same project field according to the project field to form field frequency, accumulating the investment amount of the same project field according to the project field to form field total investment, and obtaining a field attraction value Q1 by using a formula Q1= F1 xA 4+ F2 xA 5; based on the same principle, obtaining an item attraction value Q2;
the investigation module is used for acquiring basic information and operation information of an engineering project construction company, analyzing and processing the basic information and the operation information, calculating a time difference between the establishment time of the construction company and the current time of the system to obtain establishment duration, and combining the registered capital, the preset value of company type, the personnel scale, the average wage and the operation range of the construction company; obtaining a scale value GX of the construction company; acquiring the operation information of a construction company; marking the liquidity funds on the current financial account of the construction company as LA; the quantity of engineering projects finished by a construction company three years before the current time of the system is marked as LS; further analysis is carried out on the finished engineering project; obtaining an average quality score Qs and an average profit coefficient Hs of the engineering project; setting a preset profit coefficient threshold value as HT; marking the profit coefficient Hm which is greater than HT as THm; counting the number of THm and marking as LT1; using formulas
Figure BDA0002800593530000131
Obtaining a profit coefficient deviation value HZ; obtaining a credit value XF of a construction company by using a formula XF = LA × g1+ LS × g2+ Qs × g3+ Hs × g4+ HZ × g 5;
the risk assessment module is used for performing risk assessment on the engineering projects, obtaining assessment coefficients PS of the engineering projects by combining the construction values SC, the field attraction values Q1, the project attraction values Q2, the scale values GX, the engineering spacing RL and the credit values XF, arranging the corresponding engineering projects according to the assessment coefficients PS from high to low and transmitting the engineering projects to the display module for real-time display, and providing references for user investment.
The above formulas are all the formulas which are obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts and accord with real results.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (1)

1. A big data-based engineering project risk assessment system is applied to an engineering project investment platform and is characterized by comprising a data acquisition module, a project analysis module, a server, a storage module, a monitoring module, a display, a risk assessment module and a survey module;
the data acquisition module is used for acquiring basic information of the engineering project in the engineering project investment platform and transmitting the basic information of the engineering project to the project analysis module; the basic information of the engineering project comprises the estimated construction cost, the estimated construction time, the position of the engineering project, the collection fund amount, the collection time and the project field of the engineering project; the recruitment time comprises a recruitment start time and a recruitment end time;
the project analysis module is used for receiving and analyzing the basic information of the engineering project to obtain the construction value of the engineering project; the specific analysis steps are as follows:
the method comprises the following steps: marking the estimated construction cost of the engineering project as R1, and marking the estimated construction duration of the engineering project as T1;
step two: acquiring an engineering project position, and marking an area with the radius of rt as a construction area by taking the engineering project position as a center; wherein rt is a preset value;
acquiring the number of regional population in a construction area and marking as L1;
acquiring the per-capita GDP of regional population in a construction area and marking as G1;
acquiring the unemployment rate of regional population in a construction area and marking as Y1;
obtaining a region coefficient Wc of the engineering project by using a formula Wc = L1 xA 1+ G1 xA 2-Y1 xA 3; wherein A1, A2 and A3 are all preset coefficient factors;
step three: marking the recruitment fund amount of the engineering project as R2, marking the recruited fund of the engineering project as R3, and then marking the remaining recruitment fund of the engineering project as R4= R2-R3;
step four: calculating the time difference between the recruitment starting time and the recruitment ending time to obtain recruitment duration and marking the recruitment duration as T2; calculating the time difference between the current time of the system and the recruitment ending time to obtain a buffer time length, and marking the buffer time length as T3;
step five: normalizing the estimated construction cost, the estimated construction time length, the area coefficient, the recruitment fund amount, the residual recruitment fund, the recruitment time length and the buffer time length and taking the numerical values of the normalized construction cost, the estimated construction time length, the area coefficient, the recruitment fund amount, the residual recruitment fund, the recruitment time length and the buffer time length;
using a formula
Figure FDA0003646843230000021
Acquiring a construction value SC of the engineering project; wherein a1, a2, a3, a4, b1, b2 and b3 are all preset coefficient factors
The project analysis module is used for transmitting the construction value SC of the engineering project to the server, and the server is used for receiving the construction value SC of the engineering project and transmitting the construction value SC of the engineering project to the storage module for storage;
the monitoring module is used for monitoring the transaction information of the engineering project investment platform within the preset time and analyzing the transaction information to obtain project field attraction table information and engineering project attraction table information; wherein the deal information comprises investors, engineering projects, investment amount and investment time; the specific analysis rule is as follows:
s1: acquiring project fields of engineering projects, accumulating the times of deals in the same project field according to the project fields to form field frequency, and marking the field frequency as F1;
accumulating the investment amount of the same project field according to the project field to form the total field investment; marking the total investment of the field as F2; the total field investment F2 corresponds to the field frequency F1 one by one;
s2: obtaining a domain attraction value Q1 by using a formula Q1= F1 × A4+ F2 × A5; wherein A4 and A5 are proportionality coefficients;
s3: sorting the project fields according to the field attraction value Q1 and making project field attraction table information;
s4: accumulating the times of deals of the same engineering project according to the engineering project to form a project frequency, and marking the project frequency as X1;
accumulating the investment amount of the same engineering project according to the engineering project to form total project investment; marking the total investment of the project as X2; the total investment X2 of the project corresponds to the frequency X1 of the project one by one;
s5: obtaining an item attraction value Q2 by using a formula Q2= X1 xA 6+ X2 xA 7; wherein A6 and A7 are proportionality coefficients;
s6: sequencing the engineering projects according to the size of the project attraction value Q2 and making the engineering project attraction table information; the monitoring module is used for transmitting the project field attraction table information and the project attraction table information to the server; the server receives the project field attraction table information and the project attraction table information transmitted by the monitoring module and transmits the project field attraction table information and the project attraction table information to the storage module for storage; the storage module is used for transmitting the item field attraction table information and the engineering item attraction table information to the display for real-time display;
the risk assessment module is used for performing risk assessment on the engineering project to obtain an assessment coefficient of the engineering project, and the specific assessment steps are as follows:
and (4) SS1: automatically acquiring a construction value SC of the engineering project from a storage module;
and SS2: automatically acquiring a field attraction value Q1 of the project field from the project field attraction table information according to the project field of the engineering project; acquiring an item attraction value Q2 of the engineering item from the information of the engineering item attraction table;
and SS3: acquiring a construction company of the engineering project, and acquiring a scale value GX of the construction company;
and (4) SS: acquiring position information of a user according to a GPS positioning technology, calculating the distance difference between the position of the user and the position of an engineering project to obtain an engineering distance, and marking the engineering distance as RL;
and SS5: normalizing the construction value SC, the field attraction value Q1, the project attraction value Q2, the scale value GX and the engineering distance RL and taking the numerical values;
obtaining an evaluation coefficient PS of the engineering project by using a formula PS = (SC × C1+ Q1 × C2+ Q2 × C3+ GX × C4+1/RL × C5) × XF-f, wherein C1, C2, C3, C4 and C5 are coefficient factors, and f is a correction coefficient and takes the value of 1.3236; in the formula, XF is the reputation value of the construction company;
the risk assessment module is used for transmitting the assessment coefficients PS of the engineering projects to the server, and the server arranges the corresponding engineering projects according to the sequence of the assessment coefficients PS from high to low and transmits the engineering projects to the display module for real-time display;
the survey module is used for collecting basic information and operation information of engineering project construction companies, analyzing and processing the basic information and the operation information, and the specific processing steps are as follows:
WW1: acquiring basic information of a construction company; the basic information includes the establishment time of the construction company, registered capital, personnel size, operating range, company type and company name;
WW2: calculating the time difference between the establishment time of the construction company and the current time of the system to obtain establishment time, and marking the establishment time as CT;
acquiring registered capital of a construction company, and marking the registered capital as CZ;
the method comprises the steps of obtaining company types of a construction company, setting each company type to correspond to a preset value, matching the company types of the construction company with all the company types to obtain corresponding preset values, and marking the preset values as CL;
WW3: acquiring the scale of personnel of a construction company, and marking the scale of the personnel as CR;
acquiring the average wages of employees of a construction company and marking the average wages as CE;
WW4: acquiring the operation range of the construction company, and marking the number of fields related to the operation range as CS;
using formulas
Figure FDA0003646843230000041
Obtaining a scale value GX of the construction company; wherein d1, d2, d3, d4, d5 and d6 are all proportionality coefficients, beta is a correction factor, and the value is 1.023569;
WW5: acquiring the operation information of a construction company; the operation information comprises mobile funds, finished engineering projects, quality scores and profit coefficients of the engineering projects;
marking the liquidity funds on the current financial account of the construction company as LA;
WW6: the quantity of engineering projects finished by a construction company three years before the current time of the system is marked as LS; further analysis is carried out on the finished engineering project; the method comprises the following steps:
WW61: marking the quality scores of the engineering projects as Qi, summing all the quality scores Qi and taking the average value to obtain an average quality score Qs;
WW62: marking the profit coefficient of each engineering project as Hm, and obtaining an average profit coefficient Hs according to an average value calculation formula;
WW63: setting a preset profitability coefficient threshold value as HT; marking the profit coefficient Hm which is greater than HT as THm; counting the number of THm and marking as LT1;
using a formula
Figure FDA0003646843230000051
Obtaining a profit coefficient bias value HZ;
WW7: obtaining a credit value XF of a construction company by using a formula XF = LA × g1+ LS × g2+ Qs × g3+ Hs × g4+ HZ × g 5; wherein g1, g2, g3, g4 and g5 are all preset coefficients;
the survey module is used for transmitting a scale value GX and a credit value XF of a construction company to the risk assessment module; and the risk evaluation module is used for transmitting the scale value GX and the reputation value XF of the construction company to the storage module for storage.
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