CN113052550A - Bidding intelligent supervision system based on big data - Google Patents
Bidding intelligent supervision system based on big data Download PDFInfo
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Abstract
The invention discloses an intelligent supervision system for tendering and bidding based on big data, which is used for solving the problems that tender control behaviors exist in tendering agencies and some bidding enterprises, corresponding supervision measures cannot be taken through tender data, and a corresponding special subject library for tendering and bidding industries is lacked, and comprises a rule configuration module, a data capture module, an intelligent supervision module, a bid analysis module and an information accounting module, wherein the information accounting module is used for checking and calculating tender data input by a user, the data capture module is used for capturing item types in the tender data and sending the item types to the rule configuration module, the rule configuration module is used for intelligently configuring the rule library of the intelligent supervision system for tendering and bidding, the bid analysis module is used for analyzing and judging the tender data of a bidding company, and the intelligent supervision module receives supervision intensity of the bidding company sent by a server, the invention realizes the vigorous supervision of tendering and bidding and improves the supervision efficiency.
Description
Technical Field
The invention belongs to the technical field of bidding, and relates to an intelligent bidding supervision system, in particular to an intelligent bidding supervision system based on big data.
Background
At present, the supervision in the field of bidding is mainly post supervision, a special subject image library of enterprise bidding industry is formed through big data integration, bidding documents are accessed, a business scoring part is analyzed through an NLP technology, identified scoring items are compared with the special subject image library, illegal behaviors such as suspected control marks, delimiters and the like are timely warned in combination with relevant laws and regulations practice of government purchasing, and the difficult problems of government purchasing and supervision departments are solved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent bidding supervision system based on big data.
The technical problem to be solved by the invention is as follows:
(1) how to supervise the bidding agency behaviors and avoid the bidding control behaviors of the bidding agency and some bidding enterprises;
(2) how to analyze the bidding data so as to take corresponding supervision measures;
(3) how to configure a subject library of the bidding industry.
The purpose of the invention can be realized by the following technical scheme:
a big data-based bidding intelligent supervision system comprises a registration login module, a rule configuration module, a data capture module, a rule base, an intelligent supervision module, a bidding analysis module, an information accounting module and a server;
the information checking module is used for checking and calculating the bidding data input by the user, and the checking and calculating steps are as follows:
the method comprises the following steps: acquiring publicly bidding items in the intelligent bidding supervision system, and recording the publicly bidding items as public items Au, u being 1, 2, … …, z;
step two: acquiring a bidding company corresponding to the open project, and classifying the bidding company of the open project into a reference bidding company; obtaining the number of reference companies and marking the reference companies as Aui, i ═ 1, 2, … …, z;
step three: calculating the establishment duration of the reference company by using the current time of the system, and marking the establishment duration as TAui; obtaining the bidding times TBAui and ZBAUI of the reference company, and calculating by using a formula ZAui ═ ZBAUI/TBAui to obtain the winning rate ZAui of the reference company;
step four: obtaining the bidding price of the participating companies, and marking the bidding price as PAui;
step five: by the formula
Calculating to obtain the qualification value GAui of the reference company; in the formula, a1, a2, a3 and a4 are all proportionality coefficient fixed numerical values, the values of a1, a2, a3 and a4 are all larger than zero, and e is a natural constant;
step six: and adding the enterprise information of the reference company into the qualification value and then feeding the qualification value back to the server.
Furthermore, an enterprise portrait library is arranged in the server and used for storing enterprise information, enterprise bidding data and personal information of users;
the registration login module is used for the user to input personal information through the user terminal for registration login and then sending the personal information to the server for storage; and inputting bidding data by the user after the successful registration and login through the user terminal.
Further, the data grabbing module is used for grabbing item categories in the bidding data and sending the item categories to the rule configuration module; the user after successful registration and login configures the rule base through the rule configuration module;
the rule configuration module is used for intelligently configuring a rule base of the intelligent bidding supervision system after receiving the project categories sent by the data capture module, and the intelligent configuration process is as follows:
step S1: dividing bidding items in the intelligent bidding supervision system into a bidding item group and a bidding item group; acquiring the item categories of a bid item group and a bid item group, and secondarily dividing the bid item group and the bid item group into a plurality of bid item sets and a plurality of bid item sets according to the item categories;
step S2: data capture of the qualification value and the bid price of each bidding item set corresponding to the bidding enterprise; data capture of the sum bid price of each bidding item set corresponding to the bidding enterprise;
step S3: arranging qualification values of bidding enterprises corresponding to the bidding item sets of the same item category in a descending order to generate a transverse bidding item table; arranging the bid prices of the bid enterprises corresponding to the bid item sets of the same item category in a descending order to generate a longitudinal bid item table;
step S4: combining the horizontal bid item table and the vertical bid item table to form a bid item table of the same item category;
step S5: arranging qualification values of bidding items of the same item category corresponding to the bidding enterprises in a descending order to generate a transverse bidding item table; arranging the bidding prices of the bidding items sets corresponding to the same item category in a descending order to generate a longitudinal bidding item table;
step S6: combining the transverse bidding project table and the longitudinal bidding project table to form a bidding project table of the same project category;
step S7: establishing a two-dimensional coordinate system by taking the upper left corner of the bid item table as an origin, and expressing the transverse coordinates of the bid item table by adopting qualification values of bid enterprises corresponding to the same item category items; the vertical coordinate of the bidding item table is represented by the bidding price of the bidding enterprise corresponding to the item category item;
step S8: establishing a two-dimensional coordinate system by taking the upper left corner of the bidding item table as an original point, and expressing the transverse coordinates of the bidding item table by adopting the purchase price of a bidding enterprise corresponding to the item of the same item category; the vertical coordinate of the bidding project table is expressed by adopting the bidding price of the bidding enterprise corresponding to the project category project;
step S9: the bidding item table and the bidding item table which are configured by the rule configuration module are sent to the specification base to be stored, and the bidding item table are in one-to-one correspondence; acquiring the item types of bid participation of the bidding enterprises, and acquiring a bidding item table and a bidding item table of the same item type according to the item types;
step S10: when a bidding enterprise bids in the intelligent bidding supervision system, the position coordinates of the bidding enterprise in the corresponding bidding item table are obtained, and the position coordinates of the bidding enterprise in the corresponding bidding item table are correspondingly obtained according to the position coordinates of the bidding enterprise in the corresponding bidding item table.
Further, the bid analysis module is configured to analyze and determine bid data of a bidding company, where the analyzing and determining process specifically includes:
p1: obtaining the bidding times TBi and ZBi of the bidding company, and calculating to obtain the bid rate Zi of the bidding company; i is 1, 2, … …, m, i stands for the bidding company;
p2: obtaining the winning bid price P corresponding to each bid of the bidding companyZBiAnd corresponding bid price PTBi(ii) a Using the formula PJi ═ (P)ZBi-PTBi) The method comprises the following steps of/ZBi, calculating a mean bid price difference PJi of a bidding company;
p3: obtaining the corresponding bidding time of two adjacent bids of the bidding company, and calculating the interval time value TC of the corresponding bidding time of the two adjacent bidsi-1Using the formula
Calculating to obtain an average interval value PTCi of a bidding company;
p4: acquiring modification uploading times SCi of bidding data corresponding to a bidding company, recording uploading time of each modification uploading, and adding and averaging the uploading time of each modification uploading to obtain modification uploading average interval PTi;
p5: the supervision value JGi of the bidding company is calculated by using a formula, wherein the formula is as follows:
p6: if JGi < X1, the bidding company is in the fourth supervision level;
if X1 < JGi < X2, the bidding company is in a third supervision level;
if X2 < JGi < X3, the bidding company is in the second supervision level;
if X3 is less than JGi, the bidding company is in the first supervision level;
wherein X1, X2 and X3 are all supervisory coefficient values, and 0 < X1 < X2 < X3.
Further, the bidding analysis module sends the supervision of the bidding company to the server, and the server feeds the supervision of the bidding company back to the intelligent supervision module; the intelligent supervision module receives the supervision degree of the bidding company sent by the server, and the intelligent supervision steps are as follows:
w1: the intelligent supervision module is used for carrying out supervision measures of different levels according to the supervision degree of the bidding company;
w2: when the bidding company is in the first supervision degree, the intelligent supervision module supervises the bidding company in real time all day long, and presets and limits the bidding times of the bidding company and the modification and uploading times of the bidding data;
w3: when the bidding company is in the second supervision degree, the intelligent supervision module supervises the bidding company in real time all day long and presets limits the modification and uploading times of the bidding data of the bidding company;
w4: when the bidding company is in the third supervision level, the intelligent supervision module supervises the bidding company in real time all day long;
w5: when the bidding company is in the fourth supervision degree, the intelligent supervision module intermittently supervises the bidding company in real time, and the interval supervision time is self-set by the bidding intelligent supervision system.
Further, the users include bidders and bidders, and the personal information includes user names, company names, and company positions;
the bidding data includes company projects, project categories, enterprise qualifications, intellectual property rights, bidding projects, and bidding prices.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps that an information checking module is used for checking and calculating bidding data input by a user, public items which are disclosed and bid in an intelligent bidding supervision system are obtained, bid participating companies corresponding to the public items are obtained, the qualification values of the bid participating companies are obtained through calculation according to the data such as the establishment duration, the bid winning rate and the bid price of the bid participating companies, the qualification values and the enterprise information of the bid participating companies are fed back to a server, and the bid inviting rule base is convenient to configure;
2. the invention captures item categories in bidding data through a data capturing module, sends the item categories to a rule configuration module, intelligently configures a rule base through the rule configuration module, divides bidding items in a bidding intelligent supervision system into a bidding item group and a bidding item group, secondarily divides the bidding item group and the bidding item group into a plurality of bidding item sets and a plurality of bidding item sets according to the item categories, respectively captures the qualification value and the bidding price of an enterprise corresponding to each bidding item set, respectively captures the sum of the bidding prices of the enterprises corresponding to each bidding item set, thereby establishing corresponding bidding item tables and bidding item tables, respectively corresponding to the bidding item tables, when the bidding enterprises bid in the bidding intelligent supervision system, obtains the item categories of the bidding enterprises, and obtains the bidding item tables and the bidding item tables according to the item categories, correspondingly obtaining the position coordinates of the bidding enterprises in the corresponding bidding item tables according to the position coordinates of the bidding enterprises in the corresponding bidding item tables, and realizing the configuration of the bidding specification library;
3. the invention analyzes and judges the bidding data of the bidding company through the bidding analysis module, calculates the supervision value of the bidding company by using a formula according to the bid rate, the average bid price difference, the average interval value and the modification uploading average interval of the bidding company, obtains the supervision strength of the bidding company after comparing the supervision value of the bidding company with the supervision coefficient value, feeds the supervision strength of the bidding company back to the intelligent supervision module, and the intelligent supervision module carries out supervision measures of different levels according to the supervision strength of the bidding company.
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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 an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
Referring to fig. 1, an intelligent supervision system for bidding based on big data includes a registration module, a rule configuration module, a data capture module, a rule base, an intelligent supervision module, a bid analysis module, an information accounting module and a server;
an enterprise portrait library is arranged in the server and used for storing enterprise information, enterprise bidding data and personal information of users;
the registration login module is used for inputting personal information through a user terminal by a user for registration login, and sending the personal information to the server for storage, wherein the user comprises a tenderer and a bidder, and the personal information comprises a user name, a company position and the like; after the successful registration login, the user inputs bidding data through the user terminal, wherein the bidding data comprises company projects, project categories, enterprise qualifications, intellectual property rights, bidding projects, bidding prices and the like;
the information checking module is used for checking and calculating the bidding data input by the user, and the checking and calculating steps are as follows:
the method comprises the following steps: acquiring publicly bidding items in the intelligent bidding supervision system, and recording the publicly bidding items as public items Au, u being 1, 2, … …, z;
step two: acquiring a bidding company corresponding to the open project, and classifying the bidding company of the open project into a reference bidding company; obtaining the number of reference companies and marking the reference companies as Aui, i ═ 1, 2, … …, z;
step three: calculating the establishment duration of the reference company by using the current time of the system, and marking the establishment duration as TAui; obtaining the bidding times TBAui and ZBAUI of the reference company, and calculating by using a formula ZAui ═ ZBAUI/TBAui to obtain the winning rate ZAui of the reference company;
step four: obtaining the bidding price of the participating companies, and marking the bidding price as PAui;
step five: by the formula
Calculating to obtain the qualification value GAui of the reference company; in the formula, a1, a2, a3 and a4 are all proportionality coefficient fixed numerical values, the values of a1, a2, a3 and a4 are all larger than zero, and e is a natural constant;
step six: the qualification value is added with enterprise information of the reference company and then fed back to the server;
similarly, the information accounting module can also calculate the qualification value of the bidding company by acquiring the establishment duration, the bid rate, the tender price and other data of the bidding company;
the data grabbing module is used for grabbing the item types in the bidding data and sending the item types to the rule configuration module; the user after successful registration and login configures the rule base through the rule configuration module;
the rule configuration module is used for intelligently configuring a rule base of the intelligent bidding supervision system after receiving the project categories sent by the data capture module, and the intelligent configuration process is as follows:
step S1: dividing bidding items in the intelligent bidding supervision system into a bidding item group and a bidding item group; acquiring the item categories of a bid item group and a bid item group, and secondarily dividing the bid item group and the bid item group into a plurality of bid item sets and a plurality of bid item sets according to the item categories;
step S2: data capture of the qualification value and the bid price of each bidding item set corresponding to the bidding enterprise; data capture of the sum bid price of each bidding item set corresponding to the bidding enterprise;
step S3: arranging qualification values of bidding enterprises corresponding to the bidding item sets of the same item category in a descending order to generate a transverse bidding item table; arranging the bid prices of the bid enterprises corresponding to the bid item sets of the same item category in a descending order to generate a longitudinal bid item table;
step S4: combining the horizontal bid item table and the vertical bid item table to form a bid item table of the same item category;
step S5: arranging qualification values of bidding items of the same item category corresponding to the bidding enterprises in a descending order to generate a transverse bidding item table; arranging the bidding prices of the bidding items sets corresponding to the same item category in a descending order to generate a longitudinal bidding item table;
step S6: combining the transverse bidding project table and the longitudinal bidding project table to form a bidding project table of the same project category;
step S7: establishing a two-dimensional coordinate system by taking the upper left corner of the bid item table as an origin, and expressing the transverse coordinates of the bid item table by adopting qualification values of bid enterprises corresponding to the same item category items; the vertical coordinate of the bidding item table is represented by the bidding price of the bidding enterprise corresponding to the item category item;
step S8: establishing a two-dimensional coordinate system by taking the upper left corner of the bidding item table as an original point, and expressing the transverse coordinates of the bidding item table by adopting the purchase price of a bidding enterprise corresponding to the item of the same item category; the vertical coordinate of the bidding project table is expressed by adopting the bidding price of the bidding enterprise corresponding to the project category project;
step S9: the bidding item table and the bidding item table which are configured by the rule configuration module are sent to the specification base to be stored, and the bidding item table are in one-to-one correspondence; acquiring the item types of bid participation of the bidding enterprises, and acquiring a bidding item table and a bidding item table of the same item type according to the item types;
step S10: when a bidding enterprise bids in the intelligent bidding supervision system, acquiring the position coordinates of the bidding enterprise in the corresponding bidding item table, and correspondingly acquiring the position coordinates of the bidding enterprise in the corresponding bidding item table according to the position coordinates of the bidding enterprise in the corresponding bidding item table;
the bid analysis module is used for analyzing and judging bid data of a bidding company, and the analyzing and judging process is as follows:
p1: obtaining the bidding times TBi and ZBi of the bidding company, and calculating to obtain the bid rate Zi of the bidding company; i is 1, 2, … …, m, i stands for the bidding company;
p2: obtaining the winning bid price P corresponding to each bid of the bidding companyZBiAnd corresponding bid price PTBi(ii) a Using the formula PJi ═ (P)ZBi-PTBi) The method comprises the following steps of/ZBi, calculating a mean bid price difference PJi of a bidding company;
p3: obtaining the corresponding bidding time of two adjacent bids of the bidding company, and calculating the interval time value TC of the corresponding bidding time of the two adjacent bidsi-1Using the formula
Calculating to obtain an average interval value PTCi of a bidding company;
p4: acquiring modification uploading times SCi of bidding data corresponding to a bidding company, recording uploading time of each modification uploading, and adding and averaging the uploading time of each modification uploading to obtain modification uploading average interval PTi;
p5: the supervision value JGi of the bidding company is calculated by using a formula, wherein the formula is as follows:
p6: if JGi < X1, the bidding company is in the fourth supervision level;
if X1 < JGi < X2, the bidding company is in a third supervision level;
if X2 < JGi < X3, the bidding company is in the second supervision level;
if X3 is less than JGi, the bidding company is in the first supervision level;
wherein X1, X2 and X3 are all supervision coefficient values, and X1 is more than 0 and more than X2 and more than X3;
the bid analysis module sends the supervision of the bid company to the server, and the server feeds the supervision of the bid company back to the intelligent supervision module; the intelligent supervision module receives supervision strength of a bidding company sent by the server, is used for intelligently supervising the bidding company, can be used for frequently modifying bidding data in the server, modifying the bidding data to be the same as the bidding price or modifying the bidding data to be similar to the price of another bidder, and supervises the behaviors, and specifically comprises the following intelligent supervision steps:
w1: the intelligent supervision module is used for carrying out supervision measures of different levels according to the supervision degree of the bidding company;
w2: when the bidding company is in the first supervision degree, the intelligent supervision module supervises the bidding company in real time all day long, and presets and limits the bidding times of the bidding company and the modification and uploading times of the bidding data;
w3: when the bidding company is in the second supervision degree, the intelligent supervision module supervises the bidding company in real time all day long and presets limits the modification and uploading times of the bidding data of the bidding company;
w4: when the bidding company is in the third supervision level, the intelligent supervision module supervises the bidding company in real time all day long;
w5: when the bidding company is in the fourth supervision degree, the intelligent supervision module intermittently supervises the bidding company in real time, and the interval supervision time is self-set by the bidding intelligent supervision system.
The utility model provides a bid intelligent supervisory systems based on big data, during operation, the user registers the login through registering the login module input personal information, the user after registering the login success inputs bid data through user terminal input, through information accounting module to the bid data of user input check calculation, obtain the public project of publicly bidding in the intelligent supervisory systems of bid, obtain the tender company Aui that the public project corresponds, obtain the tender company's of standing duration TAui, bid rate ZAui and bid price PAui, through formula
The qualification value GAui of the tender company is obtained through calculation, the qualification value is fed back to the server after being added with the enterprise information of the tender company, and similarly, the qualification value of the tender company can be calculated through an information accounting module;
the method comprises the steps that item types in bidding data are captured through a data capturing module and are sent to a rule configuration module, a user who successfully registers and logs in is configured on a rule base through the rule configuration module, the rule configuration module is used for intelligently configuring the rule base of an intelligent bidding monitoring system after receiving the item types sent by the data capturing module, the bidding items in the intelligent bidding monitoring system are divided into a bidding item group and a bidding item group, the item types of the bidding item group and the bidding item group are obtained, the bidding item group and the bidding item group are secondarily divided into a plurality of bidding item sets and a plurality of bidding item sets according to the item types, the data capturing qualification value and the bid price of each bidding item set corresponding to an enterprise, and the data capturing the bid price and the bid price of each bidding item set corresponding to the enterprise;
arranging qualification values of bidding enterprises corresponding to the bidding item sets of the same item category in a descending order to generate a transverse bidding item table; arranging the bid prices of the bid enterprises corresponding to the bid item sets of the same item category in a descending order to generate a longitudinal bid item table, combining the transverse bid item table and the longitudinal bid item table to form the bid item table of the same item category, and arranging the qualification values of the bid item sets of the same item category corresponding to the bid enterprises in a descending order to generate a transverse bid item table; arranging the bidding prices of the bidding items sets corresponding to the bidding enterprises in the same item category in a descending order to generate a longitudinal bidding item table, and combining the transverse bidding item table and the longitudinal bidding item table to form the bidding item table in the same item category;
establishing a two-dimensional coordinate system by taking the upper left corner of the bid item table as an origin, and expressing the transverse coordinates of the bid item table by adopting qualification values of bid enterprises corresponding to the same item category items; the longitudinal coordinate of the bidding item table is expressed by adopting the bidding price of the bidding enterprise corresponding to the same item category item, a two-dimensional coordinate system is established by taking the upper left corner of the bidding item table as an original point, and the transverse coordinate of the bidding item table is expressed by adopting the purchase price of the bidding enterprise corresponding to the same item category item; the vertical coordinate of the bidding item table is expressed by adopting bidding price of a bidding enterprise corresponding to the same item category item, the bidding item table and the bidding item table which are configured by the rule configuration module are both sent to the specification library for storage, and the bidding item table are in one-to-one correspondence; the method comprises the steps of obtaining item types of bidding enterprise parameterings, obtaining a bidding item table and a bidding item table of the same item type according to the item types, obtaining position coordinates of the bidding enterprise in the corresponding bidding item table when the bidding enterprise bids in an intelligent bidding supervision system, and correspondingly obtaining the position coordinates of the bidding enterprise in the corresponding bidding item table according to the position coordinates of the bidding enterprise in the corresponding bidding item table;
analyzing and judging the bidding data of the bidding company through a bidding analysis module, obtaining the bidding times TBi and the bidding times ZBi of the bidding company, calculating the bid rate Zi of the bidding company, and then obtaining the bid price P corresponding to each bidding of the bidding companyZBiAnd corresponding bid price PTBiUsing the formula PJi ═ P (P)ZBi-PTBi) /ZBi calculating average bid price difference PJi of bidding company, obtaining bidding time corresponding to two adjacent bids of bidding company, calculating interval time TC of bidding time corresponding to two adjacent bidsi-1Using the formula
Calculating to obtain an average interval value PTCi of a bidding company, finally obtaining modification uploading times SCi of the bidding company corresponding to the bidding data, recording uploading time of each modification uploading, adding the uploading time of each modification uploading to obtain an average value to obtain a modification uploading average interval PTi, and utilizing a formula
The supervision value JGi of the bidding company is obtained by calculation, and if JGi is less than X1, the bidding company is under the fourth supervisionThe degree, if X1 is less than JGi and less than X2, the bidding company is in the third supervision degree, if X2 is less than JGi and less than X3, the bidding company is in the second supervision degree, and if X3 is less than JGi, the bidding company is in the first supervision degree;
the monitoring degree of the bidding company is sent to the server by the bidding analysis module, the monitoring degree of the bidding company is fed back to the intelligent monitoring module by the server, the monitoring degree of the bidding company sent by the server is received by the intelligent monitoring module and is used for intelligently monitoring the bidding company, the intelligent monitoring module carries out monitoring measures of different levels according to the monitoring degree of the bidding company, when the bidding company is in the first monitoring degree, the intelligent monitoring module carries out real-time monitoring on the bidding company all day long, and carries out preset limit on the bidding times and the bidding data modification uploading times of the bidding company, when the bidding company is in the second monitoring degree, the intelligent monitoring module carries out real-time monitoring on the bidding company all day long, carries out preset limit on the bidding data modification uploading times of the bidding company, and when the bidding company is in the third monitoring degree, the intelligent supervision module supervises the bidding company in real time all day long, and when the bidding company is in the fourth supervision degree, the intelligent supervision module supervises the bidding company in real time intermittently, and the interval supervision time is self-set by the intelligent bidding supervision system.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
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 (6)
1. A big data-based intelligent supervision system for tendering and bidding is characterized by comprising a registration login module, a rule configuration module, a data capture module, a rule base, an intelligent supervision module, a bidding analysis module, an information accounting module and a server;
the information checking module is used for checking and calculating the bidding data input by the user, and the checking and calculating steps are as follows:
the method comprises the following steps: acquiring publicly bidding items in the intelligent bidding supervision system, and recording the publicly bidding items as public items Au, u being 1, 2, … …, z;
step two: acquiring a bidding company corresponding to the open project, and classifying the bidding company of the open project into a reference bidding company; obtaining the number of reference companies and marking the reference companies as Aui, i ═ 1, 2, … …, z;
step three: calculating the establishment duration of the reference company by using the current time of the system, and marking the establishment duration as TAui; obtaining the bidding times TBAui and ZBAUI of the reference company, and calculating by using a formula ZAui ═ ZBAUI/TBAui to obtain the winning rate ZAui of the reference company;
step four: obtaining the bidding price of the participating companies, and marking the bidding price as PAui;
step five: by the formula
Calculating to obtain the qualification value GAui of the reference company; in the formula, a1, a2, a3 and a4 are all proportionality coefficient fixed numerical values, the values of a1, a2, a3 and a4 are all larger than zero, and e is a natural constant;
step six: and adding the enterprise information of the reference company into the qualification value and then feeding the qualification value back to the server.
2. The big data-based intelligent supervision system for bidding and tendering according to claim 1, characterized in that an enterprise image library is arranged in the server, and the enterprise image library is used for storing enterprise information, enterprise bidding and tendering data and personal information of users;
the registration login module is used for the user to input personal information through the user terminal for registration login and then sending the personal information to the server for storage; and inputting bidding data by the user after the successful registration and login through the user terminal.
3. The big data-based intelligent supervision system for bidding and tendering, according to claim 1, characterized in that the data grasping module is used for grasping item categories in bidding and tendering data and sending the item categories to the rule configuration module; the user after successful registration and login configures the rule base through the rule configuration module;
the rule configuration module is used for intelligently configuring a rule base of the intelligent bidding supervision system after receiving the project categories sent by the data capture module, and the intelligent configuration process is as follows:
step S1: dividing bidding items in the intelligent bidding supervision system into a bidding item group and a bidding item group; acquiring the item categories of a bid item group and a bid item group, and secondarily dividing the bid item group and the bid item group into a plurality of bid item sets and a plurality of bid item sets according to the item categories;
step S2: data capture of the qualification value and the bid price of each bidding item set corresponding to the bidding enterprise; data capture of the sum bid price of each bidding item set corresponding to the bidding enterprise;
step S3: arranging qualification values of bidding enterprises corresponding to the bidding item sets of the same item category in a descending order to generate a transverse bidding item table; arranging the bid prices of the bid enterprises corresponding to the bid item sets of the same item category in a descending order to generate a longitudinal bid item table;
step S4: combining the horizontal bid item table and the vertical bid item table to form a bid item table of the same item category;
step S5: arranging qualification values of bidding items of the same item category corresponding to the bidding enterprises in a descending order to generate a transverse bidding item table; arranging the bidding prices of the bidding items sets corresponding to the same item category in a descending order to generate a longitudinal bidding item table;
step S6: combining the transverse bidding project table and the longitudinal bidding project table to form a bidding project table of the same project category;
step S7: establishing a two-dimensional coordinate system by taking the upper left corner of the bid item table as an origin, and expressing the transverse coordinates of the bid item table by adopting qualification values of bid enterprises corresponding to the same item category items; the vertical coordinate of the bidding item table is represented by the bidding price of the bidding enterprise corresponding to the item category item;
step S8: establishing a two-dimensional coordinate system by taking the upper left corner of the bidding item table as an original point, and expressing the transverse coordinates of the bidding item table by adopting the purchase price of a bidding enterprise corresponding to the item of the same item category; the vertical coordinate of the bidding project table is expressed by adopting the bidding price of the bidding enterprise corresponding to the project category project;
step S9: the bidding item table and the bidding item table which are configured by the rule configuration module are sent to the specification base to be stored, and the bidding item table are in one-to-one correspondence; acquiring the item types of bid participation of the bidding enterprises, and acquiring a bidding item table and a bidding item table of the same item type according to the item types;
step S10: when a bidding enterprise bids in the intelligent bidding supervision system, the position coordinates of the bidding enterprise in the corresponding bidding item table are obtained, and the position coordinates of the bidding enterprise in the corresponding bidding item table are correspondingly obtained according to the position coordinates of the bidding enterprise in the corresponding bidding item table.
4. The big data-based intelligent supervision system for bidding and tendering according to claim 1, wherein the bid analysis module is configured to analyze and judge the bid data of the bidding company, and the analyzing and judging process is as follows:
p1: obtaining the bidding times TBi and ZBi of the bidding company, and calculating to obtain the bid rate Zi of the bidding company; i is 1, 2, … …, m, i stands for the bidding company;
p2: obtaining the winning bid price P corresponding to each bid of the bidding companyZBiAnd correspondingBid price PTBi(ii) a Using the formula PJi ═ (P)ZBi-PTBi) The method comprises the following steps of/ZBi, calculating a mean bid price difference PJi of a bidding company;
p3: obtaining the corresponding bidding time of two adjacent bids of the bidding company, and calculating the interval time value TC of the corresponding bidding time of the two adjacent bidsi-1Using the formula
Calculating to obtain an average interval value PTCi of a bidding company;
p4: acquiring modification uploading times SCi of bidding data corresponding to a bidding company, recording uploading time of each modification uploading, and adding and averaging the uploading time of each modification uploading to obtain modification uploading average interval PTi;
p5: the supervision value JGi of the bidding company is calculated by using a formula, wherein the formula is as follows:
p6: if JGi < X1, the bidding company is in the fourth supervision level;
if X1 < JGi < X2, the bidding company is in a third supervision level;
if X2 < JGi < X3, the bidding company is in the second supervision level;
if X3 is less than JGi, the bidding company is in the first supervision level;
wherein X1, X2 and X3 are all supervisory coefficient values, and 0 < X1 < X2 < X3.
5. The big-data-based intelligent supervision system for bidding and tendering is characterized in that the bid analysis module sends the supervision of the bidding company to the server, and the server feeds the supervision of the bidding company back to the intelligent supervision module; the intelligent supervision module receives the supervision degree of the bidding company sent by the server, and the intelligent supervision steps are as follows:
w1: the intelligent supervision module is used for carrying out supervision measures of different levels according to the supervision degree of the bidding company;
w2: when the bidding company is in the first supervision degree, the intelligent supervision module supervises the bidding company in real time all day long, and presets and limits the bidding times of the bidding company and the modification and uploading times of the bidding data;
w3: when the bidding company is in the second supervision degree, the intelligent supervision module supervises the bidding company in real time all day long and presets limits the modification and uploading times of the bidding data of the bidding company;
w4: when the bidding company is in the third supervision level, the intelligent supervision module supervises the bidding company in real time all day long;
w5: when the bidding company is in the fourth supervision degree, the intelligent supervision module intermittently supervises the bidding company in real time, and the interval supervision time is self-set by the bidding intelligent supervision system.
6. The big data-based intelligent tendering and bidding supervision system according to claim 2, wherein the users comprise tenderers and bidders, the personal information comprises user names, company names and company positions;
the bidding data includes company projects, project categories, enterprise qualifications, intellectual property rights, bidding projects, and bidding prices.
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