CN112308468A - Government payment capability analysis system based on big data - Google Patents
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Abstract
The invention discloses a government payment capability analysis system based on big data, which comprises a task issuing module, a task distribution module, an engineering verification module, a server, an engineering approval module, a storage module, a payment module, a data acquisition module, an engineering analysis module and a survey module, wherein the task issuing module is used for issuing a task; the task allocation module is used for allocating the project acceptance tasks; the engineering checking module is used for selecting an engineer to perform quality checking on the completed engineering corresponding to the engineering acceptance task to obtain a quality score of the completed engineering; the engineering approval module is used for analyzing approval application of engineering money of completed engineering; the invention can reasonably distribute the quality of the corresponding professional supervision engineers for checking and accepting the completion project according to the position of the completion project, improve the working efficiency, and can pay the project money in sequence according to the approval value of the approval application, so that government units pay the project money more hierarchically and orderly, and the utilization rate of the liquidity is maximized.
Description
Technical Field
The invention relates to the field of constructional engineering, in particular to a government payment capacity analysis system based on big data.
Background
The project money is the price of the completed project or completed project settled by the government organization after the construction enterprise completes the project by contract and according to the contract regulation and the project settlement method. Engineering money is generally classified into prepaid money, progressive money, as-built settlement money, and warranty money according to payment stages.
Generally, when a construction enterprise applies for project money to a government organization, firstly, the government sends professional supervision engineers to check and accept the quality of completed projects, and after the quality is qualified, the project money is approved; in the prior art, when a plurality of construction enterprises apply for project money, the government cannot reasonably distribute the quality of the corresponding professional supervision engineers for checking and accepting the completion project according to the position of the completion project, and the working efficiency is low; for the engineering money application with qualified quality acceptance, the examination and approval application of the engineering money cannot be reasonably arranged, so that the examination, approval and approval time of some engineering money is too long, the reputation of government units is influenced, and the development of construction enterprises is not facilitated; and sometimes a plurality of engineering money is applied for the same time and is replicated, thereby bringing huge pressure to government funds. To this end, we propose a big data based government payment capability analysis system.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a government payment capability analysis system based on big data. The invention can reasonably distribute the quality of the corresponding professional supervision engineers for checking and accepting the completion project according to the position of the completion project, improve the working efficiency, and can pay the project money in sequence according to the approval value of the approval application, so that government units pay the project money more hierarchically and orderly, and the utilization rate of the liquidity is maximized.
The purpose of the invention can be realized by the following technical scheme:
a government payment capability analysis system based on big data comprises a registration login module, a task release module, a task allocation module, an engineering verification module, a server, an engineering approval module, a storage module, a payment module, a data acquisition module, an engineering analysis module and a survey module;
the task issuing module is used for issuing engineering acceptance tasks by government units and accessing the engineering acceptance tasks by professional supervision engineers through a mobile phone terminal and obtaining the engineering acceptance tasks, wherein the engineering acceptance tasks comprise engineering acceptance standards and engineering positions;
the task allocation module is used for allocating the project acceptance tasks;
the project checking module is used for selecting an engineer to perform quality checking on the completed project corresponding to the project acceptance task to obtain a quality score of the completed project;
the engineering approval module is used for analyzing approval application of engineering money of completed engineering; the specific analysis steps are as follows:
AA 1: acquiring approval applications of all construction money of the completed engineering on the platform, and marking quality scores of the completed engineering corresponding to the approval applications as QS; comparing QS to a preset scoring threshold;
if QS is less than the preset grading threshold, the quality of the completed project is unqualified, and the approval application of the project money of the completed project is rejected;
if QS is greater than or equal to a preset grading threshold, the quality of the completion project is qualified, and the approval application of the project money of the completion project is marked as a primary selection application; further analysis is carried out on the primary selection application;
AA 2: acquiring application time in the primary selection application, calculating the time difference between the application time and the current time of the system to acquire application duration and marking the application duration as T3; acquiring the amount of the project money in the primary election application and marking the amount of the project money as E1;
AA 3: acquiring the completion project in the primary selection application, automatically acquiring the project value of the completion project from the storage module according to the completion project and marking the project value as GA;
AA 4: acquiring the building enterprises in the primary selection application, automatically acquiring the credit value of the building enterprises from the storage module according to the building enterprises and marking the credit value as GC;
AA 5: obtaining an approval value SC of the initially selected application by using a formula SC ═ QSXb 1+ T3 Xb 2+ GA Xb 3+ GC Xb 4; wherein b1, b2, b3 and b4 are all preset coefficient factors;
the engineering approval module is used for sequencing the primary selection applications according to the sequence of the approval values SC from large to small to generate an application approval reference table; the engineering examination and approval module is used for transmitting the application and approval reference table to the server, and the server is used for transmitting the application and approval reference table to the payment module.
Furthermore, the registration login module is used for a professional supervision engineer to submit registration information through a mobile phone terminal for registration and send the registration information which is successfully registered to the server for storage; the registration information comprises the name, the mobile phone number, the position, the issuing time of an engineer certificate, the time of enrollment, the age and a scholarship of the user; the approval application comprises application time, completion engineering, engineering money amount and construction enterprises.
Further, the specific allocation steps of the task allocation module are as follows:
the method comprises the following steps: marking professional supervision engineers who visit the project acceptance tasks and get the tasks as primary selection engineers;
step two: acquiring registration information of a primary engineer;
calculating the distance difference between the position of the initially selected engineer and the engineering position to obtain the personnel distance, and marking the personnel distance as G1;
calculating the time difference between the issuing time of the engineer certificate of the primary engineer and the current time of the system to obtain the certificate qualification time of the primary engineer and marking the certificate qualification time as G2;
calculating the time difference between the enrollment time of the primary engineer and the current system time to obtain the enrollment duration of the primary engineer, and marking the enrollment duration as G3;
step three: setting the age mark of the primary selection engineer as NT1, and setting the project acceptance number of the primary selection engineer as C1;
step four: acquiring the academic information of an initially selected engineer, dividing the academic information into four grades of a special subject, a master and a doctor, respectively giving a correction value to each grade of the academic, marking the correction value of the special subject as a, the correction value of the subject as b, the correction value of the master as c and the correction value of the doctor as d, wherein a, b, c and d are fixed numerical values, and a is more than b and less than c and less than d;
matching the academic calendar information of the primary selection engineer with all the academic calendar information to obtain a correction value corresponding to the academic calendar information of the primary selection engineer, and marking the correction value as C2;
step five: carrying out normalization processing on the personnel spacing, the certificate qualification duration, the job entry duration, the age, the project acceptance number and the corresponding correction values and taking the values;
using formulas
step six: marking the primary engineer with the maximum matching value CS as a selected engineer, and increasing the number of engineering acceptance times of the primary engineer by one;
step seven: and the task allocation module sends the project acceptance task to the mobile phone terminal of the selected engineer, and marks the moment of the project acceptance task as the task sending moment.
Further, the specific working steps of the engineering verification module are as follows:
s1: after receiving the project acceptance task by the selected engineer through the mobile phone terminal, the selected engineer arrives at the project position and shoots a picture of the completed project and the current real-time position to the project verification module through the mobile phone terminal;
s2: the engineering verification module receives the current real-time position sent by the selected engineer and a picture of completed engineering and then carries out position matching, if the current real-time position is matched with the engineering position, a verification starting instruction is generated and sent to a mobile phone terminal of the selected engineer, and the time of receiving the verification starting instruction is marked as the verification starting time of the selected engineer;
s3: checking each checking parameter of the completed project by the selected engineer according to the project checking standard to obtain the quality score of the completed project;
s4: calculating the time difference between the verification ending time and the verification starting time to obtain the verification duration of the selected engineer and marking the verification duration as T1;
calculating the time difference between the verification starting time and the task sending time to obtain the buffer duration of the selected engineer and marking the buffer duration as T2; setting the value of the credit input by the staff of the government organization as V2;
obtaining a single effective kernel value DT of the selected engineer by using a formula DT ═ 1/T1 (x B1+ (1/T2) x B2+ V2 x B3; wherein, B1, B2 and B3 are all preset proportionality coefficients;
summing all the single effect core values of the selected engineers and taking the average value to obtain the effect average value of the selected engineers;
the engineering verification module transmits the quality score of the completed engineering to the server, and the server is used for transmitting the quality score of the completed engineering to the engineering approval module and transmitting the quality score QS of the completed engineering to the storage module for storage.
Further, the payment module is used for receiving the application reply reference table and paying the primary selection application in sequence according to the sequence of the application reply reference table, and specifically comprises:
BB 1: acquiring the current real-time liquidity of a government unit and marking the real-time liquidity as Li;
BB 2: and obtaining the amount of the engineering money in the first sorted primary selection application in the application and approval reference table, if Li is larger than or equal to the amount of the engineering money, allowing approval to pass, updating the real-time flow fund Li, obtaining the amount of the engineering money in the second sorted primary selection application in the application and approval reference table, if Li is larger than or equal to the amount of the engineering money, allowing approval to pass, updating the real-time flow fund Li, and so on.
Further, the data acquisition module is used for acquiring basic information of the completion project, wherein the basic information of the completion project comprises construction cost, construction duration, project position and project field of the completion project; transmitting basic information of completed engineering to an engineering analysis module; the engineering analysis module is used for receiving and analyzing the basic information of the completed engineering to obtain the engineering value of the completed engineering; the specific analysis steps are as follows:
FF 1: marking the construction cost of the as built project as R1, and marking the construction duration of the as built project as GT 1;
FF 2: acquiring an engineering position, and marking an area with the radius of rt as a construction area by taking the engineering 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 LG 1;
acquiring the unemployment rate of regional population in the construction area and marking as Y1;
obtaining a region coefficient Wc of the as-built project by using a formula Wc ═ L1 xA 1+ LG1 xA 2-Y1 xA 3; wherein A1, A2 and A3 are all preset coefficient factors;
FF 3: setting a corresponding preset value in each engineering field, matching the engineering field of the completion engineering with all the engineering fields, and acquiring the preset value corresponding to the engineering field of the completion engineering and marking the preset value as LK;
FF 4: using formulas
Acquiring a finished project value SC; wherein d1, d2, d3 and d4 are all preset coefficient factors;
the engineering analysis module is used for transmitting the completed engineering value SC to the server, and the server is used for receiving the completed engineering value SC and transmitting the completed engineering value SC to the storage module for storage.
Further, the investigation module is used for collecting the operation information of the construction enterprises, analyzing and processing the operation information, and the specific processing steps are as follows:
WW 1: acquiring the operation information of a building enterprise; the operational information includes liquidity funds, completed engineering projects and quality scores of the engineering projects;
WW 2: marking the liquidity funds on the current financial account of the construction enterprise as LA;
WW 3: acquiring engineering projects of a building enterprise which finish working three years before the current time of the system;
marking the number of engineering projects as LS; accumulating the engineering money corresponding to the engineering project to form an engineering total money and marking the engineering total money as LF;
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 Qc;
WW 4: obtaining a reputation value XF of the construction enterprise by using a formula XF of LA × g1+ LS × g2+ Qc × g3+ LF × g 4; wherein g1, g2, g3 and g4 are all preset coefficients;
the investigation module is used for transmitting the reputation value XF of the construction enterprise to the server; the server is used for transmitting the reputation value XF of the construction enterprise to the storage module for storage.
The invention has the beneficial effects that:
1. the task allocation module is used for allocating the project acceptance tasks, and marking professional supervision engineers who visit the project acceptance tasks and get the tasks as primary selection engineers; acquiring registration information of the primary engineers, calculating a matching value CS of the primary engineers according to the personnel spacing, the certificate qualification duration, the time of enrollment, the age, the engineering acceptance times and corresponding correction values, marking the primary engineers with the largest matching value CS as selected engineers, and performing quality verification on completed engineering corresponding to the engineering acceptance tasks by the selected engineers to obtain quality scores of the completed engineering; government units can reasonably distribute corresponding professional supervision engineers to check and accept the quality of the completion project according to the position of the completion project, and the work efficiency is improved;
2. the engineering approval module is used for analyzing approval applications of engineering money of finished engineering, and marking quality scores of the finished engineering corresponding to the approval applications as QS; comparing QS to a preset scoring threshold; if QS is less than the preset grading threshold, the quality of the completed project is unqualified, and the approval application of the project money of the completed project is rejected; if QS is greater than or equal to a preset grading threshold, the quality of the completion project is qualified, and the approval application of the project money of the completion project is marked as a primary selection application; further analysis is carried out on the primary selection application; obtaining an approval value SC of the primary application by combining the application time, the engineering money amount, the engineering value of the completed engineering and the credit value of the construction enterprise according to a formula SC (QS × b1+ T3 × b2+ GA × b3+ GC × b 4); the engineering approval module is used for sequencing the primary selection applications according to the sequence of the approval values SC from large to small to generate an application approval reference table; the payment module is used for receiving the application replication reference table and paying the primary selection application in sequence according to the sequence of the application replication reference table; the government units are more level and orderly in paying the engineering money, and the utilization rate of the liquidity funds is maximized.
Drawings
In order 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, a big data-based government payment capability analysis system includes a registration login module, a task issue module, a task allocation module, an engineering verification module, a server, an engineering approval module, a storage module, a payment module, a data acquisition module, an engineering analysis module, and a survey module;
the registration login module is used for a professional supervision engineer to submit registration information through a mobile phone terminal for registration and send the registration information which is successfully registered to the server for storage; the registration information comprises the name, the mobile phone number, the position, the issuing time of an engineer certificate, the time of enrollment, the age and a scholarship of the user;
the task issuing module is used for issuing engineering acceptance tasks by government units and accessing the engineering acceptance tasks by professional supervision engineers through a mobile phone terminal and obtaining the engineering acceptance tasks, wherein the engineering acceptance tasks comprise engineering acceptance standards and engineering positions;
the task allocation module is used for allocating the project acceptance tasks, and the specific allocation steps are as follows:
the method comprises the following steps: marking professional supervision engineers who visit the project acceptance tasks and get the tasks as primary selection engineers;
step two: acquiring registration information of a primary engineer;
calculating the distance difference between the position of the initially selected engineer and the engineering position to obtain the personnel distance, and marking the personnel distance as G1;
calculating the time difference between the issuing time of the engineer certificate of the primary engineer and the current time of the system to obtain the certificate qualification time of the primary engineer and marking the certificate qualification time as G2;
calculating the time difference between the enrollment time of the primary engineer and the current system time to obtain the enrollment duration of the primary engineer, and marking the enrollment duration as G3;
step three: setting the age mark of the primary selection engineer as NT1, and setting the project acceptance number of the primary selection engineer as C1;
step four: acquiring the academic information of an initially selected engineer, dividing the academic information into four grades of a special subject, a master and a doctor, respectively giving a correction value to each grade of the academic, marking the correction value of the special subject as a, the correction value of the subject as b, the correction value of the master as c and the correction value of the doctor as d, wherein a, b, c and d are fixed numerical values, and a is more than b and less than c and less than d;
matching the academic calendar information of the primary selection engineer with all the academic calendar information to obtain a correction value corresponding to the academic calendar information of the primary selection engineer, and marking the correction value as C2;
step five: carrying out normalization processing on the personnel spacing, the certificate qualification duration, the job entry duration, the age, the project acceptance number and the corresponding correction values and taking the values;
using formulas
step six: marking the primary engineer with the maximum matching value CS as a selected engineer, and increasing the number of engineering acceptance times of the primary engineer by one;
step seven: the task allocation module sends the project acceptance task to the mobile phone terminal of the selected engineer, and marks the moment of the project acceptance task as a task sending moment;
the engineering verification module is used for selecting an engineer to perform quality verification on the completed engineering corresponding to the engineering acceptance task, and comprises the following specific steps:
s1: after receiving the project acceptance task by the selected engineer through the mobile phone terminal, the selected engineer arrives at the project position and shoots a picture of the completed project and the current real-time position to the project verification module through the mobile phone terminal;
s2: the engineering verification module receives the current real-time position sent by the selected engineer and a picture of completed engineering and then carries out position matching, if the current real-time position is matched with the engineering position, a verification starting instruction is generated and sent to a mobile phone terminal of the selected engineer, and the time of receiving the verification starting instruction is marked as the verification starting time of the selected engineer;
s3: checking each checking parameter of the completed project by the selected engineer according to the project checking standard to obtain the quality score of the completed project;
s4: calculating the time difference between the verification ending time and the verification starting time to obtain the verification duration of the selected engineer and marking the verification duration as T1;
calculating the time difference between the verification starting time and the task sending time to obtain the buffer duration of the selected engineer and marking the buffer duration as T2; setting the value of the credit input by the staff of the government organization as V2;
obtaining a single effective kernel value DT of the selected engineer by using a formula DT ═ 1/T1 (x B1+ (1/T2) x B2+ V2 x B3; wherein, B1, B2 and B3 are all preset proportionality coefficients;
summing all the single effect core values of the selected engineers and taking the average value to obtain the effect average value of the selected engineers;
the engineering verification module transmits the quality score of the completed project to the server, and the server is used for transmitting the quality score of the completed project to the engineering approval module and transmitting the quality score QS of the completed project to the storage module for storage;
the engineering approval module is used for analyzing approval applications of engineering money of completed engineering, and the approval applications comprise application time, completed engineering, engineering money amount and construction enterprises; the specific analysis steps are as follows:
AA 1: acquiring approval applications of all construction money of the completed engineering on the platform, and marking quality scores of the completed engineering corresponding to the approval applications as QS;
comparing QS to a preset scoring threshold;
if QS is less than the preset grading threshold, the quality of the completed project is unqualified, and the approval application of the project money of the completed project is rejected;
if QS is greater than or equal to a preset grading threshold, the quality of the completion project is qualified, and the approval application of the project money of the completion project is marked as a primary selection application; further analysis is carried out on the primary selection application;
AA 2: acquiring application time in the primary selection application, calculating the time difference between the application time and the current time of the system to acquire application duration and marking the application duration as T3;
acquiring the amount of the project money in the primary election application and marking the amount of the project money as E1;
AA 3: acquiring the completion project in the primary selection application, automatically acquiring the project value of the completion project from the storage module according to the completion project and marking the project value as GA;
AA 4: acquiring the building enterprises in the primary selection application, automatically acquiring the credit value of the building enterprises from the storage module according to the building enterprises and marking the credit value as GC;
AA 5: obtaining an approval value SC of the initially selected application by using a formula SC ═ QSXb 1+ T3 Xb 2+ GA Xb 3+ GC Xb 4; wherein b1, b2, b3 and b4 are all preset coefficient factors;
the engineering approval module is used for sequencing the primary selection applications according to the sequence of the approval values SC from large to small to generate an application approval reference table; the engineering examination and approval module is used for transmitting the application and approval reference table to the server, and the server is used for transmitting the application and approval reference table to the payment module;
the payment module is used for receiving the application reply reference table and paying the primary selection application in sequence according to the sequence of the application reply reference table, and specifically comprises the following steps:
BB 1: acquiring the current real-time liquidity of a government unit and marking the real-time liquidity as Li;
BB 2: obtaining the amount of the engineering money in the first-selected application sequenced in the application-approval reference table, if Li is larger than or equal to the amount of the engineering money, allowing approval to pass, updating the real-time mobile fund Li, obtaining the amount of the engineering money in the second-selected application sequenced in the application-approval reference table, if Li is larger than or equal to the amount of the engineering money, allowing approval to pass, updating the real-time mobile fund Li, and so on;
the data acquisition module is used for acquiring basic information of the completion project, wherein the basic information of the completion project comprises construction cost, construction duration, construction position and engineering field of the completion project; transmitting basic information of completed engineering to an engineering analysis module;
the engineering analysis module is used for receiving and analyzing the basic information of the completed engineering to obtain the engineering value of the completed engineering; the specific analysis steps are as follows:
FF 1: marking the construction cost of the as built project as R1, and marking the construction duration of the as built project as GT 1;
FF 2: acquiring an engineering position, and marking an area with the radius of rt as a construction area by taking the engineering 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 LG 1;
acquiring the unemployment rate of regional population in the construction area and marking as Y1;
obtaining a region coefficient Wc of the as-built project by using a formula Wc ═ L1 xA 1+ LG1 xA 2-Y1 xA 3; wherein A1, A2 and A3 are all preset coefficient factors;
FF 3: setting a corresponding preset value in each engineering field, matching the engineering field of the completion engineering with all the engineering fields, and acquiring the preset value corresponding to the engineering field of the completion engineering and marking the preset value as LK;
FF 4: using formulas
Acquiring a finished project value SC; whereind1, d2, d3 and d4 are all preset coefficient factors;
the engineering analysis module is used for transmitting the completed engineering value SC to the server, and the server is used for receiving the completed engineering value SC and transmitting the completed engineering value SC to the storage module for storage;
the investigation module is used for collecting the operation information of the construction enterprises and analyzing and processing the operation information, and the specific processing steps are as follows:
WW 1: acquiring the operation information of a building enterprise; the operational information includes liquidity funds, completed engineering projects and quality scores of the engineering projects;
WW 2: marking the liquidity funds on the current financial account of the construction enterprise as LA;
WW 3: acquiring engineering projects of a building enterprise which finish working three years before the current time of the system;
marking the number of engineering projects as LS; accumulating the engineering money corresponding to the engineering project to form an engineering total money and marking the engineering total money as LF;
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 Qc;
WW 4: obtaining a reputation value XF of the construction enterprise by using a formula XF of LA × g1+ LS × g2+ Qc × g3+ LF × g 4; wherein g1, g2, g3 and g4 are all preset coefficients;
the investigation module is used for transmitting the reputation value XF of the construction enterprise to the server; the server is used for transmitting the reputation value XF of the construction enterprise to the storage module for storage.
A government payment capability analysis system based on big data is characterized in that when the system works, a task issuing module is used for issuing engineering acceptance tasks by government units and professional supervision engineers to access the engineering acceptance tasks through a mobile phone terminal and obtain the tasks; the task allocation module is used for allocating the project acceptance tasks and marking professional supervision engineers who visit the project acceptance tasks and get the tasks as primary selection engineers; acquiring registration information of the primary engineers, calculating a matching value CS of the primary engineers according to the personnel spacing, the certificate qualification duration, the time of enrollment, the age, the engineering acceptance times and corresponding correction values, marking the primary engineers with the largest matching value CS as selected engineers, and performing quality verification on completed engineering corresponding to the engineering acceptance tasks by the selected engineers to obtain quality scores of the completed engineering; government units can reasonably distribute corresponding professional supervision engineers to check and accept the quality of the completion project according to the position of the completion project, and the work efficiency is improved;
the engineering approval module is used for analyzing approval applications of engineering money of finished engineering, and marking quality scores of the finished engineering corresponding to the approval applications as QS; comparing QS to a preset scoring threshold; if QS is less than the preset grading threshold, the quality of the completed project is unqualified, and the approval application of the project money of the completed project is rejected; if QS is greater than or equal to a preset grading threshold, the quality of the completion project is qualified, and the approval application of the project money of the completion project is marked as a primary selection application; further analysis is carried out on the primary selection application; obtaining an approval value SC of the primary application by combining the application time, the engineering money amount, the engineering value of the completed engineering and the credit value of the construction enterprise according to a formula SC (QS × b1+ T3 × b2+ GA × b3+ GC × b 4); the engineering approval module is used for sequencing the primary selection applications according to the sequence of the approval values SC from large to small to generate an application approval reference table; the payment module is used for receiving the application replication reference table and paying the primary selection application in sequence according to the sequence of the application replication reference table; the government units are more level and orderly in paying the engineering money, and the utilization rate of the liquidity funds is maximized.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance 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 (7)
1. A government payment capability analysis system based on big data is characterized by comprising a registration login module, a task release module, a task allocation module, an engineering verification module, a server, an engineering approval module, a storage module, a payment module, a data acquisition module, an engineering analysis module and a survey module;
the task issuing module is used for issuing engineering acceptance tasks by government units and accessing the engineering acceptance tasks by professional supervision engineers through a mobile phone terminal and obtaining the engineering acceptance tasks, wherein the engineering acceptance tasks comprise engineering acceptance standards and engineering positions;
the task allocation module is used for allocating the project acceptance tasks;
the project checking module is used for selecting an engineer to perform quality checking on the completed project corresponding to the project acceptance task to obtain a quality score of the completed project;
the engineering approval module is used for analyzing approval application of engineering money of completed engineering; the specific analysis steps are as follows:
AA 1: acquiring approval applications of all construction money of the completed engineering on the platform, and marking quality scores of the completed engineering corresponding to the approval applications as QS; comparing QS to a preset scoring threshold;
if QS is less than the preset grading threshold, the quality of the completed project is unqualified, and the approval application of the project money of the completed project is rejected;
if QS is greater than or equal to a preset grading threshold, the quality of the completion project is qualified, and the approval application of the project money of the completion project is marked as a primary selection application; further analysis is carried out on the primary selection application;
AA 2: acquiring application time in the primary selection application, calculating the time difference between the application time and the current time of the system to acquire application duration and marking the application duration as T3;
acquiring the amount of the project money in the primary election application and marking the amount of the project money as E1;
AA 3: acquiring the completion project in the primary selection application, automatically acquiring the project value of the completion project from the storage module according to the completion project and marking the project value as GA;
AA 4: acquiring the building enterprises in the primary selection application, automatically acquiring the credit value of the building enterprises from the storage module according to the building enterprises and marking the credit value as GC;
AA 5: obtaining an approval value SC of the initially selected application by using a formula SC ═ QSXb 1+ T3 Xb 2+ GA Xb 3+ GC Xb 4; wherein b1, b2, b3 and b4 are all preset coefficient factors;
the engineering approval module is used for sequencing the primary selection applications according to the sequence of the approval values SC from large to small to generate an application approval reference table; the engineering examination and approval module is used for transmitting the application and approval reference table to the server, and the server is used for transmitting the application and approval reference table to the payment module.
2. The big data-based government payment capability analysis system according to claim 1, wherein the registration login module is used for a professional supervision engineer to submit registration information through a mobile phone terminal for registration and send the registration information of successful registration to the server for storage; the registration information comprises the name, the mobile phone number, the position, the issuing time of an engineer certificate, the time of enrollment, the age and a scholarship of the user; the approval application comprises application time, completion engineering, engineering money amount and construction enterprises.
3. The big data-based government payment capability analysis system according to claim 1, wherein the specific allocation steps of the task allocation module are:
the method comprises the following steps: marking professional supervision engineers who visit the project acceptance tasks and get the tasks as primary selection engineers;
step two: acquiring registration information of a primary engineer;
calculating the distance difference between the position of the initially selected engineer and the engineering position to obtain the personnel distance, and marking the personnel distance as G1;
calculating the time difference between the issuing time of the engineer certificate of the primary engineer and the current time of the system to obtain the certificate qualification time of the primary engineer and marking the certificate qualification time as G2;
calculating the time difference between the enrollment time of the primary engineer and the current system time to obtain the enrollment duration of the primary engineer, and marking the enrollment duration as G3;
step three: setting the age mark of the primary selection engineer as NT1, and setting the project acceptance number of the primary selection engineer as C1;
step four: acquiring the academic information of an initially selected engineer, dividing the academic information into four grades of a special subject, a master and a doctor, respectively giving a correction value to each grade of the academic, marking the correction value of the special subject as a, the correction value of the subject as b, the correction value of the master as c and the correction value of the doctor as d, wherein a, b, c and d are fixed numerical values, and a is more than b and less than c and less than d;
matching the academic calendar information of the primary selection engineer with all the academic calendar information to obtain a correction value corresponding to the academic calendar information of the primary selection engineer, and marking the correction value as C2;
step five: carrying out normalization processing on the personnel spacing, the certificate qualification duration, the job entry duration, the age, the project acceptance number and the corresponding correction values and taking the values;
using formulas
step six: marking the primary engineer with the maximum matching value CS as a selected engineer, and increasing the number of engineering acceptance times of the primary engineer by one;
step seven: and the task allocation module sends the project acceptance task to the mobile phone terminal of the selected engineer, and marks the moment of the project acceptance task as the task sending moment.
4. The big data-based government payment capability analysis system according to claim 1, wherein said engineering verification module comprises the specific working steps of:
s1: after receiving the project acceptance task by the selected engineer through the mobile phone terminal, the selected engineer arrives at the project position and shoots a picture of the completed project and the current real-time position to the project verification module through the mobile phone terminal;
s2: the engineering verification module receives the current real-time position sent by the selected engineer and a picture of completed engineering and then carries out position matching, if the current real-time position is matched with the engineering position, a verification starting instruction is generated and sent to a mobile phone terminal of the selected engineer, and the time of receiving the verification starting instruction is marked as the verification starting time of the selected engineer;
s3: checking each checking parameter of the completed project by the selected engineer according to the project checking standard to obtain the quality score of the completed project;
s4: calculating the time difference between the verification ending time and the verification starting time to obtain the verification duration of the selected engineer and marking the verification duration as T1;
calculating the time difference between the verification starting time and the task sending time to obtain the buffer duration of the selected engineer and marking the buffer duration as T2; setting the value of the credit input by the staff of the government organization as V2;
obtaining a single effective kernel value DT of the selected engineer by using a formula DT ═ 1/T1 (x B1+ (1/T2) x B2+ V2 x B3; wherein, B1, B2 and B3 are all preset proportionality coefficients;
summing all the single effect core values of the selected engineers and taking the average value to obtain the effect average value of the selected engineers;
the engineering verification module transmits the quality score of the completed engineering to the server, and the server is used for transmitting the quality score of the completed engineering to the engineering approval module and transmitting the quality score QS of the completed engineering to the storage module for storage.
5. The big data-based government payment capability analysis system according to claim 1, wherein the payment module is configured to receive an application reply reference table and pay for the application for primary selection in sequence according to the ordering of the application reply reference table, specifically:
BB 1: acquiring the current real-time liquidity of a government unit and marking the real-time liquidity as Li;
BB 2: and obtaining the amount of the engineering money in the first sorted primary selection application in the application and approval reference table, if Li is larger than or equal to the amount of the engineering money, allowing approval to pass, updating the real-time flow fund Li, obtaining the amount of the engineering money in the second sorted primary selection application in the application and approval reference table, if Li is larger than or equal to the amount of the engineering money, allowing approval to pass, updating the real-time flow fund Li, and so on.
6. The big data based government payment capability analysis system of claim 1, wherein the data collection module is used for collecting basic information of completion engineering, the basic information of completion engineering comprising construction cost, construction time length, engineering position and engineering field of completion engineering; transmitting basic information of completed engineering to an engineering analysis module; the engineering analysis module is used for receiving and analyzing the basic information of the completed engineering to obtain the engineering value of the completed engineering; the specific analysis steps are as follows:
FF 1: marking the construction cost of the as built project as R1, and marking the construction duration of the as built project as GT 1;
FF 2: acquiring an engineering position, and marking an area with the radius of rt as a construction area by taking the engineering 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 LG 1;
acquiring the unemployment rate of regional population in the construction area and marking as Y1;
obtaining a region coefficient Wc of the as-built project by using a formula Wc ═ L1 xA 1+ LG1 xA 2-Y1 xA 3; wherein A1, A2 and A3 are all preset coefficient factors;
FF 3: setting a corresponding preset value in each engineering field, matching the engineering field of the completion engineering with all the engineering fields, and acquiring the preset value corresponding to the engineering field of the completion engineering and marking the preset value as LK;
FF 4: using formulas
Acquiring a finished project value SC; wherein d1, d2, d3 and d4 are all preset coefficient factors;
the engineering analysis module is used for transmitting the completed engineering value SC to the server, and the server is used for receiving the completed engineering value SC and transmitting the completed engineering value SC to the storage module for storage.
7. The big data-based government payment capability analysis system according to claim 1, wherein the investigation module is used for collecting and analyzing and processing the operation information of the construction enterprises, and the specific processing steps are as follows:
WW 1: acquiring the operation information of a building enterprise; the operational information includes liquidity funds, completed engineering projects and quality scores of the engineering projects;
WW 2: marking the liquidity funds on the current financial account of the construction enterprise as LA;
WW 3: acquiring engineering projects of a building enterprise which finish working three years before the current time of the system;
marking the number of engineering projects as LS; accumulating the engineering money corresponding to the engineering project to form an engineering total money and marking the engineering total money as LF;
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 Qc;
WW 4: obtaining a reputation value XF of the construction enterprise by using a formula XF of LA × g1+ LS × g2+ Qc × g3+ LF × g 4; wherein g1, g2, g3 and g4 are all preset coefficients;
the investigation module is used for transmitting the reputation value XF of the construction enterprise to the server; the server is used for transmitting the reputation value XF of the construction enterprise to the storage module for storage.
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