CN116167623B - Electronic purchasing management and control method and system based on Internet - Google Patents

Electronic purchasing management and control method and system based on Internet Download PDF

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Publication number
CN116167623B
CN116167623B CN202310435648.0A CN202310435648A CN116167623B CN 116167623 B CN116167623 B CN 116167623B CN 202310435648 A CN202310435648 A CN 202310435648A CN 116167623 B CN116167623 B CN 116167623B
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purchasing
purchase
association
data
current
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CN116167623A (en
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徐烜
胡光
张颋
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Wuhan Mozhang Information Technology Co ltd
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Wuhan Mozhang Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0605—Supply or demand aggregation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The application relates to an electronic purchase management and control method and system based on Internet, comprising the steps of obtaining initial purchase evaluation data loaded by a current purchase management body through an Internet information loading port based on current purchase demand, carrying out initial error check on the initial purchase evaluation data, and generating current purchase evaluation data after the initial error check is completed; acquiring a purchase association providing main body contained in the current purchase evaluation data, generating actual association parameters, judging whether the current-period purchase management main body and the purchase association providing main body have no benefit association relation, if so, acquiring actual operation condition data, generating an operation parameter data set, and generating a purchase risk evaluation difference value; judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value or not according to the purchasing risk assessment difference value, and if so, generating a current purchasing body qualification prompt. The invention realizes purchasing management and control with high stability and high reliability.

Description

Electronic purchasing management and control method and system based on Internet
Technical Field
The application relates to the technical field of electronic purchasing, in particular to an electronic purchasing management and control method and system based on the Internet.
Background
Electronic purchasing is a purchasing behavior initiated by a purchasing party and is an invisible online transaction, such as online bidding, online negotiations and the like.
In the prior art, various methods related to purchase management are disclosed, for example, in the invention patent with publication number CN115660555a, an electronic purchase method, device and medium for enterprises are disclosed, and the method comprises: determining a public cloud platform comprising a first dynamic plug module and a business function module; constructing a second dynamic plug module and a mall function module according to preset electronic purchasing business requirements, so as to generate an electronic mall of an enterprise according to the second dynamic plug module and the mall function module; acquiring a purchasing request of an enterprise through the electronic mall, accessing the public cloud platform according to the purchasing request, and starting to execute a purchasing process; and when the purchasing process is executed, the dynamic plug is carried out between the mall function module and the business function module through the first dynamic plug-in module and the second dynamic plug-in module so as to generate a purchasing result of the purchasing request.
Although the purchase management method can improve the electronic purchase efficiency, the problem that the stability is not high and the reliability is low may occur because the purchase management method can normally provide the supply before purchase and whether the supply after purchase is not specifically controlled.
Disclosure of Invention
In view of the above, it is necessary to provide an electronic purchasing management and control method and system based on the internet, which can achieve high stability and high reliability.
The technical scheme of the invention is as follows:
an internet-based electronic procurement management and control method, the method comprising:
step S100: acquiring initial purchase evaluation data loaded by the current purchase management main body through an internet information loading port based on the current purchase demand, performing initial error check on the initial purchase evaluation data, and generating the current purchase evaluation data after the initial error check is completed;
step S200: acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing;
Step S300: if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data to generate an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value;
step S400: judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value or not according to the purchasing risk assessment difference value, and if so, generating a current purchasing body qualification prompt.
Specifically, step S200: acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing; the method specifically comprises the following steps:
Step S210: transmitting an original provided data query instruction for querying the current purchase evaluation data source based on an internet information transmission port according to the current purchase evaluation data;
step S220: acquiring actual association subjects contained in association with the current purchase evaluation data according to the original provided data query instruction, and acquiring subject labels prestored by each actual association subject, wherein one actual association subject corresponds to one subject label, and the subject label characterizes the purchase requirement which can be solved by the actual association subject;
step S230: acquiring a demand label set by the current purchasing management main body for the current purchasing demand, comparing the demand label with each main body label, screening out main body labels matched with the demand label, and marking an actual association main body corresponding to the screened main body label as a purchasing association providing main body;
step S240: acquiring the relative numbers of the purchasing association providing main body and the current purchasing management main body, comparing the relative numbers with the standard numbers, and generating first relative scores corresponding to the relative numbers, wherein the standard numbers are preset, the standard numbers also correspond to one standard score respectively, and the standard score corresponding to the standard number consistent with the relative numbers is the first relative score;
Step S250: acquiring a collateral association subject of the purchase association providing subject, and acquiring a second association relatives of the collateral association subject and the current-period purchase management subject;
step S260: generating actual association parameters based on the following formulas according to the first associated relative score and the second associated relative score:
；
wherein Z is an actual association parameter, P is a first association relative, Q is a second association relative, and A and B are preset weight coefficients;
step S270: judging whether the actual association parameter is larger than or equal to a pre-stored standard association parameter;
step S280: if the actual association parameter is larger than or equal to the pre-stored standard association parameter, judging that the current purchasing management main body and the purchasing association providing main body are not in a non-beneficial association relationship, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop current purchasing.
Specifically, step S300: if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data to generate an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value; the method specifically comprises the following steps:
Step S310: if yes, acquiring actual operation condition data of the purchase association providing main body, carrying out data segmentation on the actual operation condition data according to each preset qualification characteristic, and generating operation data segments after the data segmentation is completed, wherein the number of the operation data segments is a plurality of;
step S320: extracting data from each operation data segment and generating operation parameter data sets respectively, wherein one operation data segment corresponds to one operation parameter data set, and each operation parameter data set comprises a plurality of actual operation parameters;
step S330: acquiring the number of kinds of operation data of each operation parameter data set, and generating kinds of classification according to the number of kinds of operation data;
step S340: comparing actual operation parameters in the operation parameter data sets with pre-stored standard operation parameters and respectively generating operation gap differences, wherein one operation parameter data set corresponds to one operation gap difference;
step S350: and summarizing the operation gap scores and adding the category types to generate a purchasing risk assessment difference value.
Specifically, step S100: acquiring initial purchase evaluation data loaded by the current purchase management main body through an internet information loading port based on the current purchase demand, performing initial error check on the initial purchase evaluation data, and generating the current purchase evaluation data after the initial error check is completed; the method specifically comprises the following steps:
Step S110: acquiring initial permission data loaded by a current purchasing management body through an internet information loading port based on current purchasing requirements, comparing the initial permission data with standard access permission, and judging whether the initial permission data matches the standard access permission;
step S120: if not, generating an authority matching failure instruction, generating a dangerous invasion instruction according to the authority matching failure instruction, and transmitting a dangerous invasion prompt to other pre-stored ports through the Internet information loading port based on the dangerous invasion instruction;
step S130: if yes, generating a purchase data loading interface, wherein a purchase loading prompt is arranged on the purchase data loading interface;
step S140: acquiring initial purchase evaluation data loaded by the current-period purchase management main body through the internet information loading port under the prompt of the purchase loading prompt;
step S150: comparing the initial purchase evaluation data with a pre-stored reasonable purchase data range, and judging whether the deviation value of the initial purchase evaluation data and the reasonable purchase data range belongs to the standard data deviation range or not;
Step S160: if not, generating a data quality inspection instruction, and reminding the current purchase management main body to evaluate the initial purchase evaluation data according to the data quality inspection instruction;
step S170: if yes, the initial error check is judged to be completed, and current purchase evaluation data are generated.
Specifically, an internet-based electronic procurement management and control system, the system comprising:
the purchase data acquisition module is used for acquiring initial purchase evaluation data loaded by the current purchase management main body through the Internet information loading port based on the current purchase demand, carrying out initial error check on the initial purchase evaluation data and generating current purchase evaluation data after the initial error check is finished;
the purchasing relationship acquisition module is used for acquiring purchasing association providing subjects contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing subjects and the current purchasing management subjects, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management subjects and the purchasing association providing subjects are in a non-benefit association relationship according to the actual association parameters, and if not, generating purchasing stop instructions, wherein the purchasing stop instructions are used for reminding purchasing management staff to stop current purchasing;
The purchasing risk assessment module is used for acquiring actual operation condition data of the purchasing association providing main body if the purchasing association providing main body is judged to be yes, carrying out qualification analysis on the actual operation condition data and generating an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters and generating a purchasing risk assessment difference value;
and the purchasing body determining module is used for judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value according to the purchasing risk assessment difference value, and if so, generating a current purchasing body qualification prompt.
Specifically, the purchase relationship acquisition module is further configured to:
transmitting an original provided data query instruction for querying the current purchase evaluation data source based on an internet information transmission port according to the current purchase evaluation data; acquiring actual association subjects contained in association with the current purchase evaluation data according to the original provided data query instruction, and acquiring subject labels prestored by each actual association subject, wherein one actual association subject corresponds to one subject label, and the subject label characterizes the purchase requirement which can be solved by the actual association subject; acquiring a demand label set by the current purchasing management main body for the current purchasing demand, comparing the demand label with each main body label, screening out main body labels matched with the demand label, and marking an actual association main body corresponding to the screened main body label as a purchasing association providing main body; acquiring the relative numbers of the purchasing association providing main body and the current purchasing management main body, comparing the relative numbers with the standard numbers, and generating first relative scores corresponding to the relative numbers, wherein the standard numbers are preset, the standard numbers also correspond to one standard score respectively, and the standard score corresponding to the standard number consistent with the relative numbers is the first relative score; acquiring a collateral association subject of the purchase association providing subject, and acquiring a second association relatives of the collateral association subject and the current-period purchase management subject; generating actual association parameters based on the following formulas according to the first associated relative score and the second associated relative score:
The method comprises the steps of carrying out a first treatment on the surface of the Wherein Z is an actual association parameter, P is a first association relative, Q is a second association relative, and A and B are preset weight coefficients; judging whether the actual association parameter is larger than or equal to a pre-stored standard association parameter; if the actual association parameter is larger than or equal to the pre-stored standard association parameter, judging that the current purchasing management main body and the purchasing association providing main body are not in a non-beneficial association relationship, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop current purchasing.
Specifically, the purchase risk assessment module is further configured to:
if yes, acquiring actual operation condition data of the purchase association providing main body, carrying out data segmentation on the actual operation condition data according to each preset qualification characteristic, and generating operation data segments after the data segmentation is completed, wherein the number of the operation data segments is a plurality of; extracting data from each operation data segment and generating operation parameter data sets respectively, wherein one operation data segment corresponds to one operation parameter data set, and each operation parameter data set comprises a plurality of actual operation parameters; acquiring the number of kinds of operation data of each operation parameter data set, and generating kinds of classification according to the number of kinds of operation data; comparing actual operation parameters in the operation parameter data sets with pre-stored standard operation parameters and respectively generating operation gap differences, wherein one operation parameter data set corresponds to one operation gap difference; and summarizing the operation gap scores and adding the category types to generate a purchasing risk assessment difference value.
Specifically, the purchase data acquisition module is further configured to:
acquiring initial permission data loaded by a current purchasing management body through an internet information loading port based on current purchasing requirements, comparing the initial permission data with standard access permission, and judging whether the initial permission data matches the standard access permission; if not, generating an authority matching failure instruction, generating a dangerous invasion instruction according to the authority matching failure instruction, and transmitting a dangerous invasion prompt to other pre-stored ports through the Internet information loading port based on the dangerous invasion instruction; if yes, generating a purchase data loading interface, wherein a purchase loading prompt is arranged on the purchase data loading interface; acquiring initial purchase evaluation data loaded by the current-period purchase management main body through the internet information loading port under the prompt of the purchase loading prompt; comparing the initial purchase evaluation data with a pre-stored reasonable purchase data range, and judging whether the deviation value of the initial purchase evaluation data and the reasonable purchase data range belongs to the standard data deviation range or not; if not, generating a data quality inspection instruction, and reminding the current purchase management main body to evaluate the initial purchase evaluation data according to the data quality inspection instruction; if yes, the initial error check is judged to be completed, and current purchase evaluation data are generated.
A computer device comprising a memory and a processor, said memory storing a computer program, said processor implementing the steps of the internet-based electronic purchase management and control method described above when said computer program is executed.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the internet-based electronic purchase management and control method described above.
The invention has the following technical effects:
according to the electronic purchase management and control method and system based on the Internet, initial purchase evaluation data loaded by the current purchase management main body through the Internet information loading port based on the current purchase demand are sequentially obtained, initial error check is carried out on the initial purchase evaluation data, and the current purchase evaluation data is generated after the initial error check is completed; acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing; if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data to generate an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value; judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value or not according to the purchasing risk assessment difference value, if so, generating a current purchasing main body qualification prompt, wherein in order to achieve the purposes of achieving rapidness and convenience in acquisition and conforming to the habit of a user for using the Internet, the Internet information loading port is arranged, so that when the current purchasing requirement exists, the current purchasing management main body loads initial purchasing assessment data through the Internet information loading port, and in order to load the accuracy and reliability of the data, the data according to the follow-up data processing is ensured to be accurate, and the initial error checking is carried out on the initial purchasing assessment data, so that the current purchasing assessment data is generated after the initial error checking is completed; then, in order to avoid the problem that the purchase association providing body and the current purchase management body have the cheating and benefit relation due to the association relation, etc., the relationship between the purchase association providing body and the current purchase management body needs to be acquired, specifically, the purchase association providing body contained in the current purchase evaluation data is acquired first, association intersection analysis is performed on the purchase association providing body and the current purchase management body, and an actual association parameter is generated after the association intersection analysis, that is, the relationship intimacy degree between the purchase association providing body and the current purchase management body is represented by the actual association parameter, then, whether the current purchase management body and the current purchase association providing body have no benefit relation is judged according to the actual association parameter, if not, the relationship between the current purchase management body and the current purchase association management body is not purely non-benefit association relation, that is, a purchase stop instruction is generated, and the purchase stop instruction is used for reminding the purchase manager to stop the current purchase. Otherwise, if the judgment is yes, the situation that no benefit relation exists at the moment is indicated, in order to ensure that the purchase can be normally performed, the qualification and the operation capability of the purchase association providing main body are required to be ensured, so that the purchase association providing main body can be a stable purchase supplier subsequently, therefore, the actual operation condition data of the purchase association providing main body are acquired, the actual operation condition data are subjected to qualification analysis and an operation parameter data set is generated, the operation parameter data set is compared with the prestored standard operation parameters, a purchase risk assessment difference value is generated, then whether the risk exists is accurately judged, whether the purchase risk assessment difference value meets the prestored standard risk difference value is further judged through the purchase risk assessment difference value, if the purchase risk assessment difference value is judged to be yes, a current purchase main body qualification prompt is generated, and therefore, the method and the system realize that the relationship between the purchase manager and the purchase provider is verified successively on the basis of ensuring that the data loaded by the current purchase manager are correct, and then the purchase provider is subjected to qualification verification, so that the purchase manager can be provided, stable purchase supply can be ensured, and high-reliability and reliability are realized.
Drawings
FIG. 1 is a flow diagram of an Internet-based electronic procurement control method according to an embodiment;
FIG. 2 is a block diagram of an Internet-based electronic procurement management and control system in an embodiment;
FIG. 3 is an internal block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, a terminal is provided for: acquiring initial purchase evaluation data loaded by the current purchase management main body through an internet information loading port based on the current purchase demand, performing initial error check on the initial purchase evaluation data, and generating the current purchase evaluation data after the initial error check is completed; acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing; if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data to generate an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value; judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value or not according to the purchasing risk assessment difference value, and if so, generating a current purchasing body qualification prompt.
In this embodiment, the terminal includes, but is not limited to, a computer and a handheld computer device.
In one embodiment, as shown in fig. 1, an internet-based electronic purchase management and control method is provided, the method comprising:
step S100: acquiring initial purchase evaluation data loaded by the current purchase management main body through an internet information loading port based on the current purchase demand, performing initial error check on the initial purchase evaluation data, and generating the current purchase evaluation data after the initial error check is completed;
step S200: acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing;
step S300: if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data to generate an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value;
Step S400: judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value or not according to the purchasing risk assessment difference value, and if so, generating a current purchasing body qualification prompt.
In this embodiment, whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value is determined, specifically, whether the difference value between the purchasing risk assessment difference value and the standard risk difference value is 1% of the purchasing risk assessment difference value is determined, if yes, the purchasing risk assessment difference value is determined to be met, so that a current purchasing main body qualification prompt is generated, and the current purchasing main body qualification prompt is used for indicating that a subsequent purchasing process is continued.
In this embodiment, in order to achieve the rapidness and convenience of acquisition and meet the habit of using the internet of the user, the internet information loading port is set, so that when the current purchasing demand is met, the current purchasing management body loads the initial purchasing evaluation data through the internet information loading port, and in order to load the data accuracy and reliability, the data according to the subsequent data processing is ensured to be accurate, so that the initial purchasing evaluation data is subjected to initial error checking, and then the current purchasing evaluation data is generated after the initial error checking is finished; then, in order to avoid the problem that the purchase association providing body and the current purchase management body have the cheating and benefit relation due to the association relation, etc., the relationship between the purchase association providing body and the current purchase management body needs to be acquired, specifically, the purchase association providing body contained in the current purchase evaluation data is acquired first, association intersection analysis is performed on the purchase association providing body and the current purchase management body, and an actual association parameter is generated after the association intersection analysis, that is, the relationship intimacy degree between the purchase association providing body and the current purchase management body is represented by the actual association parameter, then, whether the current purchase management body and the current purchase association providing body have no benefit relation is judged according to the actual association parameter, if not, the relationship between the current purchase management body and the current purchase association management body is not purely non-benefit association relation, that is, a purchase stop instruction is generated, and the purchase stop instruction is used for reminding the purchase manager to stop the current purchase.
Otherwise, if the judgment is yes, the situation that no benefit relation exists at the moment is indicated, in order to ensure that the purchase can be normally performed, the qualification and the operation capability of the purchase association providing main body are required to be ensured, so that the purchase association providing main body can be a stable purchase supplier subsequently, therefore, the actual operation condition data of the purchase association providing main body are acquired, the actual operation condition data are subjected to qualification analysis and an operation parameter data set is generated, the operation parameter data set is compared with the prestored standard operation parameters, a purchase risk assessment difference value is generated, then whether the risk exists is accurately judged, whether the purchase risk assessment difference value meets the prestored standard risk difference value is further judged through the purchase risk assessment difference value, if the purchase risk assessment difference value is judged to be yes, a current purchase main body qualification prompt is generated, and therefore, the method and the system realize that the relationship between the purchase manager and the purchase provider is verified successively on the basis of ensuring that the data loaded by the current purchase manager are correct, and then the purchase provider is subjected to qualification verification, so that the purchase manager can be provided, stable purchase supply can be ensured, and high-reliability and reliability are realized.
In one embodiment, step S200: acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing; the method specifically comprises the following steps:
step S210: transmitting an original provided data query instruction for querying the current purchase evaluation data source based on an internet information transmission port according to the current purchase evaluation data;
step S220: acquiring actual association subjects contained in association with the current purchase evaluation data according to the original provided data query instruction, and acquiring subject labels prestored by each actual association subject, wherein one actual association subject corresponds to one subject label, and the subject label characterizes the purchase requirement which can be solved by the actual association subject;
Step S230: acquiring a demand label set by the current purchasing management main body for the current purchasing demand, comparing the demand label with each main body label, screening out main body labels matched with the demand label, and marking an actual association main body corresponding to the screened main body label as a purchasing association providing main body;
in this embodiment, in order to ensure the reliability and accuracy of the generated association relationship, the actual association subject included in the association with the current purchase evaluation data is acquired according to the original offer data query instruction, where the actual association subject is all subjects related to the current purchase evaluation data, and in order to screen out the purchasing party currently associated with the current purchase demand, the actual association subject is marked as the purchase association offer subject by acquiring the subject label pre-stored in the actual association subject, then acquiring the demand label set by the current purchase management subject for the current purchase demand, then comparing the demand label with the subject label, and screening out the subject label matched with the demand label.
Step S240: acquiring the relative numbers of the purchasing association providing main body and the current purchasing management main body, comparing the relative numbers with the standard numbers, and generating first relative scores corresponding to the relative numbers, wherein the standard numbers are preset, the standard numbers also correspond to one standard score respectively, and the standard score corresponding to the standard number consistent with the relative numbers is the first relative score;
step S250: acquiring a collateral association subject of the purchase association providing subject, and acquiring a second association relatives of the collateral association subject and the current-period purchase management subject;
step S260: generating actual association parameters based on the following formulas according to the first associated relative score and the second associated relative score:
；
wherein Z is an actual association parameter, P is a first association relative, Q is a second association relative, and A and B are preset weight coefficients;
in this embodiment, in order to ensure that the acquired association parameters are accurate, the number of associated relatives of the purchase association providing body and the current purchase management body is acquired, the number of associated relatives is compared with each standard number, a first associated relatives corresponding to the number of associated relatives is generated, then a bystander association body of the purchase association providing body is acquired, a second associated relatives of the bystander association body and the current purchase management body are acquired, and then the generation of actual association parameters after the two are integrated is realized.
Step S270: judging whether the actual association parameter is larger than or equal to a pre-stored standard association parameter;
step S280: if the actual association parameter is larger than or equal to the pre-stored standard association parameter, judging that the current purchasing management main body and the purchasing association providing main body are not in a non-beneficial association relationship, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop current purchasing.
In one embodiment, step S300: if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data to generate an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value; the method specifically comprises the following steps:
step S310: if yes, acquiring actual operation condition data of the purchase association providing main body, carrying out data segmentation on the actual operation condition data according to each preset qualification characteristic, and generating operation data segments after the data segmentation is completed, wherein the number of the operation data segments is a plurality of;
step S320: extracting data from each operation data segment and generating operation parameter data sets respectively, wherein one operation data segment corresponds to one operation parameter data set, and each operation parameter data set comprises a plurality of actual operation parameters;
Step S330: acquiring the number of kinds of operation data of each operation parameter data set, and generating kinds of classification according to the number of kinds of operation data;
step S340: comparing actual operation parameters in the operation parameter data sets with pre-stored standard operation parameters and respectively generating operation gap differences, wherein one operation parameter data set corresponds to one operation gap difference;
step S350: and summarizing the operation gap scores and adding the category types to generate a purchasing risk assessment difference value.
In this embodiment, in order to improve accuracy of qualification judgment, data extraction is performed on each operation data segment and operation parameter data sets are respectively generated, where one operation data segment corresponds to one operation parameter data set, and each operation parameter data set includes a plurality of actual operation parameters, then the actual operation parameters in the operation parameter data set are compared with pre-stored standard operation parameters to respectively generate operation gap, and then each operation gap is summarized and added with the category type to generate a purchase risk assessment difference value.
In one embodiment, step S100: acquiring initial purchase evaluation data loaded by the current purchase management main body through an internet information loading port based on the current purchase demand, performing initial error check on the initial purchase evaluation data, and generating the current purchase evaluation data after the initial error check is completed; the method specifically comprises the following steps:
Step S110: acquiring initial permission data loaded by a current purchasing management body through an internet information loading port based on current purchasing requirements, comparing the initial permission data with standard access permission, and judging whether the initial permission data matches the standard access permission;
step S120: if not, generating an authority matching failure instruction, generating a dangerous invasion instruction according to the authority matching failure instruction, and transmitting a dangerous invasion prompt to other pre-stored ports through the Internet information loading port based on the dangerous invasion instruction;
step S130: if yes, generating a purchase data loading interface, wherein a purchase loading prompt is arranged on the purchase data loading interface;
step S140: acquiring initial purchase evaluation data loaded by the current-period purchase management main body through the internet information loading port under the prompt of the purchase loading prompt;
step S150: comparing the initial purchase evaluation data with a pre-stored reasonable purchase data range, and judging whether the deviation value of the initial purchase evaluation data and the reasonable purchase data range belongs to the standard data deviation range or not;
Step S160: if not, generating a data quality inspection instruction, and reminding the current purchase management main body to evaluate the initial purchase evaluation data according to the data quality inspection instruction;
step S170: if yes, the initial error check is judged to be completed, and current purchase evaluation data are generated.
In this embodiment, in order to improve information loading security, the initial permission data is compared with a standard access permission and whether the initial permission data matches the standard access permission is judged; if not, generating an authority matching failure instruction, generating a dangerous invasion instruction according to the authority matching failure instruction, and transmitting a dangerous invasion prompt to other pre-stored ports through the Internet information loading port based on the dangerous invasion instruction; in order to improve convenience of information loading, if yes, generating a purchase data loading interface, wherein a purchase loading prompt is arranged on the purchase data loading interface, and then acquiring initial purchase evaluation data loaded by the current purchase management body through the internet information loading port under the prompt of the purchase loading prompt; then, in order to realize basic error checking of the data, comparing the initial purchase evaluation data with a pre-stored reasonable purchase data range, and judging whether the deviation value of the initial purchase evaluation data and the reasonable purchase data range belongs to the standard data deviation range or not; then, if not, generating a data quality inspection instruction, and reminding the current purchase management body to evaluate the initial purchase evaluation data according to the data quality inspection instruction; and finally, if yes, finishing the initial error checking, generating current purchase evaluation data, and further realizing the reliability of the generated current purchase evaluation data.
In one embodiment, as shown in FIG. 2, an Internet-based electronic procurement management system is provided, the system comprising:
the purchase data acquisition module is used for acquiring initial purchase evaluation data loaded by the current purchase management main body through the Internet information loading port based on the current purchase demand, carrying out initial error check on the initial purchase evaluation data and generating current purchase evaluation data after the initial error check is finished;
the purchasing relationship acquisition module is used for acquiring purchasing association providing subjects contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing subjects and the current purchasing management subjects, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management subjects and the purchasing association providing subjects are in a non-benefit association relationship according to the actual association parameters, and if not, generating purchasing stop instructions, wherein the purchasing stop instructions are used for reminding purchasing management staff to stop current purchasing;
the purchasing risk assessment module is used for acquiring actual operation condition data of the purchasing association providing main body if the purchasing association providing main body is judged to be yes, carrying out qualification analysis on the actual operation condition data and generating an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters and generating a purchasing risk assessment difference value;
And the purchasing body determining module is used for judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value according to the purchasing risk assessment difference value, and if so, generating a current purchasing body qualification prompt.
In one embodiment, the procurement relationship acquisition module is further configured to:
transmitting an original provided data query instruction for querying the current purchase evaluation data source based on an internet information transmission port according to the current purchase evaluation data; acquiring actual association subjects contained in association with the current purchase evaluation data according to the original provided data query instruction, and acquiring subject labels prestored by each actual association subject, wherein one actual association subject corresponds to one subject label, and the subject label characterizes the purchase requirement which can be solved by the actual association subject; acquiring a demand label set by the current purchasing management main body for the current purchasing demand, comparing the demand label with each main body label, screening out main body labels matched with the demand label, and marking an actual association main body corresponding to the screened main body label as a purchasing association providing main body; acquiring the relative numbers of the purchasing association providing main body and the current purchasing management main body, comparing the relative numbers with the standard numbers, and generating first relative scores corresponding to the relative numbers, wherein the standard numbers are preset, the standard numbers also correspond to one standard score respectively, and the standard score corresponding to the standard number consistent with the relative numbers is the first relative score; acquiring a collateral association subject of the purchase association providing subject, and acquiring a second association relatives of the collateral association subject and the current-period purchase management subject; generating actual association parameters based on the following formulas according to the first associated relative score and the second associated relative score:
The method comprises the steps of carrying out a first treatment on the surface of the Wherein Z is an actual association parameter, P is a first association relative, Q is a second association relative, and A and B are preset weight coefficients; judging whether the actual association parameter is larger than or equal to a pre-stored standard association parameter; if the actual association parameter is larger than or equal to the pre-stored standard association parameter, judging that the current purchasing management main body and the purchasing association providing main body are not in a non-beneficial association relationship, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop current purchasing.
In one embodiment, the purchase risk assessment module is further to:
if yes, acquiring actual operation condition data of the purchase association providing main body, carrying out data segmentation on the actual operation condition data according to each preset qualification characteristic, and generating operation data segments after the data segmentation is completed, wherein the number of the operation data segments is a plurality of; extracting data from each operation data segment and generating operation parameter data sets respectively, wherein one operation data segment corresponds to one operation parameter data set, and each operation parameter data set comprises a plurality of actual operation parameters; acquiring the number of kinds of operation data of each operation parameter data set, and generating kinds of classification according to the number of kinds of operation data; comparing actual operation parameters in the operation parameter data sets with pre-stored standard operation parameters and respectively generating operation gap differences, wherein one operation parameter data set corresponds to one operation gap difference; and summarizing the operation gap scores and adding the category types to generate a purchasing risk assessment difference value.
In one embodiment, the procurement data acquisition module is further configured to:
acquiring initial permission data loaded by a current purchasing management body through an internet information loading port based on current purchasing requirements, comparing the initial permission data with standard access permission, and judging whether the initial permission data matches the standard access permission; if not, generating an authority matching failure instruction, generating a dangerous invasion instruction according to the authority matching failure instruction, and transmitting a dangerous invasion prompt to other pre-stored ports through the Internet information loading port based on the dangerous invasion instruction; if yes, generating a purchase data loading interface, wherein a purchase loading prompt is arranged on the purchase data loading interface; acquiring initial purchase evaluation data loaded by the current-period purchase management main body through the internet information loading port under the prompt of the purchase loading prompt; comparing the initial purchase evaluation data with a pre-stored reasonable purchase data range, and judging whether the deviation value of the initial purchase evaluation data and the reasonable purchase data range belongs to the standard data deviation range or not; if not, generating a data quality inspection instruction, and reminding the current purchase management main body to evaluate the initial purchase evaluation data according to the data quality inspection instruction; if yes, the initial error check is judged to be completed, and current purchase evaluation data are generated.
In one embodiment, as shown in fig. 3, a computer device includes a memory storing a computer program and a processor implementing the steps of the internet-based electronic purchase management method described above when the computer program is executed.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the internet-based electronic purchase management and control method described above.
In one embodiment, the computer program when executed by a processor performs the steps of: transmitting an original provided data query instruction for querying the current purchase evaluation data source based on an internet information transmission port according to the current purchase evaluation data; acquiring actual association subjects contained in association with the current purchase evaluation data according to the original provided data query instruction, and acquiring subject labels prestored by each actual association subject, wherein one actual association subject corresponds to one subject label, and the subject label characterizes the purchase requirement which can be solved by the actual association subject; acquiring a demand label set by the current purchasing management main body for the current purchasing demand, comparing the demand label with each main body label, screening out main body labels matched with the demand label, and marking an actual association main body corresponding to the screened main body label as a purchasing association providing main body; acquiring the relative numbers of the purchasing association providing main body and the current purchasing management main body, comparing the relative numbers with the standard numbers, and generating first relative scores corresponding to the relative numbers, wherein the standard numbers are preset, the standard numbers also correspond to one standard score respectively, and the standard score corresponding to the standard number consistent with the relative numbers is the first relative score; acquiring a collateral association subject of the purchase association providing subject, and acquiring a second association relatives of the collateral association subject and the current-period purchase management subject; generating actual association parameters based on the following formulas according to the first associated relative score and the second associated relative score: The method comprises the steps of carrying out a first treatment on the surface of the Wherein Z is the actual associated parameterThe number, P is a first associated relative score, Q is a second associated relative score, and A and B are preset weight coefficients; judging whether the actual association parameter is larger than or equal to a pre-stored standard association parameter; if the actual association parameter is larger than or equal to the pre-stored standard association parameter, judging that the current purchasing management main body and the purchasing association providing main body are not in a non-beneficial association relationship, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop current purchasing.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (6)

1. An internet-based electronic purchase management and control method, which is characterized by comprising the following steps:
step S100: acquiring initial purchase evaluation data loaded by the current purchase management main body through an internet information loading port based on the current purchase demand, performing initial error check on the initial purchase evaluation data, and generating the current purchase evaluation data after the initial error check is completed;
Step S200: acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing;
step S300: if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data and generating an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value;
step S400: judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value or not according to the purchasing risk assessment difference value, and if so, generating a current purchasing association providing main body qualification prompt;
step S200: acquiring a purchasing association providing body contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing body and the current purchasing management body, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management body and the purchasing association providing body have no benefit association relation according to the actual association parameters, and if not, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop the current purchasing; the method specifically comprises the following steps:
Step S210: transmitting an original provided data query instruction for querying the current purchase evaluation data source based on an internet information transmission port according to the current purchase evaluation data;
step S220: acquiring actual association subjects contained in the current purchase evaluation data according to the original provided data query instruction, and acquiring subject labels prestored by each of the actual association subjects, wherein one of the actual association subjects corresponds to one subject label, and the subject label represents the purchase requirement which can be solved by the actual association subject;
step S230: acquiring a demand label set by the current purchasing management main body for the current purchasing demand, comparing the demand label with each main body label, screening out main body labels matched with the demand label, and marking an actual association main body corresponding to the screened main body label as a purchasing association providing main body;
step S240: acquiring the relative numbers of the purchasing association providing main body and the current purchasing management main body, comparing the relative numbers with the standard numbers, and generating first relative scores corresponding to the relative numbers, wherein the standard numbers are preset, the standard numbers also correspond to one standard score respectively, and the standard score corresponding to the standard number consistent with the relative numbers is the first relative score;
Step S250: acquiring a collateral association subject of the purchase association providing subject, and acquiring a second association relatives of the collateral association subject and the current-period purchase management subject;
step S260: generating actual association parameters based on the following formulas according to the first associated relative score and the second associated relative score:
；
wherein Z is an actual association parameter, P is a first association relative, Q is a second association relative, and A and B are preset weight coefficients;
step S270: judging whether the actual association parameter is larger than or equal to a pre-stored standard association parameter;
step S280: if the actual association parameter is larger than or equal to the pre-stored standard association parameter, judging that the current purchasing management main body and the purchasing association providing main body are not in a non-interest association relationship, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop current purchasing;
the actual association subjects are all subjects related to the current purchase evaluation data, so that in order to screen out the purchasing parties associated with the current purchase demand, the pre-stored subject labels of the actual association subjects are firstly obtained, and then the demand labels set by the current purchase demand by the current purchase management subject are obtained;
Step S300: if yes, acquiring actual operation condition data of the purchase association providing main body, performing qualification analysis on the actual operation condition data and generating an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters to generate a purchase risk assessment difference value; the method specifically comprises the following steps:
step S310: if yes, acquiring actual operation condition data of the purchase association providing main body, carrying out data segmentation on the actual operation condition data according to each preset qualification characteristic, and generating operation data segments after the data segmentation is completed, wherein the number of the operation data segments is a plurality of;
step S320: extracting data from each operation data segment and generating operation parameter data sets respectively, wherein one operation data segment corresponds to one operation parameter data set, and each operation parameter data set comprises a plurality of actual operation parameters;
step S330: acquiring the number of kinds of operation data of each operation parameter data set, and generating kinds of classification according to the number of kinds of operation data;
step S340: comparing actual operation parameters in the operation parameter data sets with pre-stored standard operation parameters and respectively generating operation gap differences, wherein one operation parameter data set corresponds to one operation gap difference;
Step S350: and summarizing the operation gap scores and adding the category types to generate a purchasing risk assessment difference value.
2. The internet-based electronic purchase management and control method according to claim 1, wherein step S100: acquiring initial purchase evaluation data loaded by the current purchase management main body through an internet information loading port based on the current purchase demand, performing initial error check on the initial purchase evaluation data, and generating the current purchase evaluation data after the initial error check is completed; the method specifically comprises the following steps:
step S110: acquiring initial permission data loaded by a current purchasing management body through an internet information loading port based on current purchasing requirements, comparing the initial permission data with standard access permission, and judging whether the initial permission data matches the standard access permission;
step S120: if not, generating an authority matching failure instruction, generating a dangerous invasion instruction according to the authority matching failure instruction, and transmitting a dangerous invasion prompt to other pre-stored ports through the Internet information loading port based on the dangerous invasion instruction;
step S130: if yes, generating a purchase data loading interface, wherein a purchase loading prompt is arranged on the purchase data loading interface;
Step S140: acquiring initial purchase evaluation data loaded by the current-period purchase management main body through the internet information loading port under the prompt of the purchase loading prompt;
step S150: comparing the initial purchase evaluation data with a pre-stored reasonable purchase data range, and judging whether the deviation value of the initial purchase evaluation data and the reasonable purchase data range belongs to a standard data deviation range or not;
step S160: if not, generating a data quality inspection instruction, and reminding the current purchase management main body to evaluate the initial purchase evaluation data according to the data quality inspection instruction;
step S170: if yes, the initial error check is judged to be completed, and current purchase evaluation data are generated.
3. An internet-based electronic procurement management and control system, the system comprising:
the purchase data acquisition module is used for acquiring initial purchase evaluation data loaded by the current purchase management main body through the Internet information loading port based on the current purchase demand, carrying out initial error check on the initial purchase evaluation data and generating current purchase evaluation data after the initial error check is finished;
The purchasing relationship acquisition module is used for acquiring purchasing association providing subjects contained in the current purchasing evaluation data according to the current purchasing evaluation data, carrying out association intersection analysis on the purchasing association providing subjects and the current purchasing management subjects, generating actual association parameters after the association intersection analysis, judging whether the current purchasing management subjects and the purchasing association providing subjects are in a non-benefit association relationship according to the actual association parameters, and if not, generating purchasing stop instructions, wherein the purchasing stop instructions are used for reminding purchasing management staff to stop current purchasing;
the purchasing risk assessment module is used for acquiring actual operation condition data of the purchasing association providing main body if the purchasing association providing main body is judged to be yes, carrying out qualification analysis on the actual operation condition data and generating an operation parameter data set, and comparing the operation parameter data set with pre-stored standard operation parameters and generating a purchasing risk assessment difference value;
the purchasing body determining module is used for judging whether the purchasing risk assessment difference value meets a pre-stored standard risk difference value according to the purchasing risk assessment difference value, and if so, generating a current purchasing association providing body qualification prompt;
The purchase relation acquisition module is further used for:
transmitting an original provided data query instruction for querying the current purchase evaluation data source based on an internet information transmission port according to the current purchase evaluation data; acquiring actual association subjects contained in the current purchase evaluation data according to the original provided data query instruction, and acquiring subject labels prestored by each of the actual association subjects, wherein one of the actual association subjects corresponds to one subject label, and the subject label represents the purchase requirement which can be solved by the actual association subject; acquiring a demand label set by the current purchasing management main body for the current purchasing demand, comparing the demand label with each main body label, screening out main body labels matched with the demand label, and marking an actual association main body corresponding to the screened main body label as a purchasing association providing main body; acquiring the relative numbers of the purchasing association providing main body and the current purchasing management main body, comparing the relative numbers with the standard numbers, and generating first relative scores corresponding to the relative numbers, wherein the standard numbers are preset, the standard numbers also correspond to one standard score respectively, and the standard score corresponding to the standard number consistent with the relative numbers is the first relative score; acquiring a collateral association subject of the purchase association providing subject, and acquiring a second association relatives of the collateral association subject and the current-period purchase management subject; generating actual association parameters based on the following formulas according to the first associated relative score and the second associated relative score:
The method comprises the steps of carrying out a first treatment on the surface of the Wherein Z is an actual association parameter, P is a first association relative, Q is a second association relative, and A and B are preset weight coefficients; judging whether the actual association parameter is larger than or equal to a pre-stored standard association parameter; if the actual association parameter is larger than or equal to the pre-stored standard association parameter, judging that the current purchasing management main body and the purchasing association providing main body are not in a non-interest association relationship, generating a purchasing stop instruction, wherein the purchasing stop instruction is used for reminding a purchasing manager to stop current purchasing;
the actual association subjects are all subjects related to the current purchase evaluation data, so that in order to screen out the purchasing parties associated with the current purchase demand, the pre-stored subject labels of the actual association subjects are firstly obtained, and then the demand labels set by the current purchase demand by the current purchase management subject are obtained;
the purchase risk assessment module is further configured to:
if yes, acquiring actual operation condition data of the purchase association providing main body, carrying out data segmentation on the actual operation condition data according to each preset qualification characteristic, and generating operation data segments after the data segmentation is completed, wherein the number of the operation data segments is a plurality of; extracting data from each operation data segment and generating operation parameter data sets respectively, wherein one operation data segment corresponds to one operation parameter data set, and each operation parameter data set comprises a plurality of actual operation parameters; acquiring the number of kinds of operation data of each operation parameter data set, and generating kinds of classification according to the number of kinds of operation data; comparing actual operation parameters in the operation parameter data sets with pre-stored standard operation parameters and respectively generating operation gap differences, wherein one operation parameter data set corresponds to one operation gap difference; and summarizing the operation gap scores and adding the category types to generate a purchasing risk assessment difference value.
4. The internet-based electronic purchase management and control system of claim 3 wherein the purchase data acquisition module is further for:
acquiring initial permission data loaded by a current purchasing management body through an internet information loading port based on current purchasing requirements, comparing the initial permission data with standard access permission, and judging whether the initial permission data matches the standard access permission; if not, generating an authority matching failure instruction, generating a dangerous invasion instruction according to the authority matching failure instruction, and transmitting a dangerous invasion prompt to other pre-stored ports through the Internet information loading port based on the dangerous invasion instruction; if yes, generating a purchase data loading interface, wherein a purchase loading prompt is arranged on the purchase data loading interface; acquiring initial purchase evaluation data loaded by the current-period purchase management main body through the internet information loading port under the prompt of the purchase loading prompt; comparing the initial purchase evaluation data with a pre-stored reasonable purchase data range, and judging whether the deviation value of the initial purchase evaluation data and the reasonable purchase data range belongs to a standard data deviation range or not; if not, generating a data quality inspection instruction, and reminding the current purchase management main body to evaluate the initial purchase evaluation data according to the data quality inspection instruction; if yes, the initial error check is judged to be completed, and current purchase evaluation data are generated.
5. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 2 when the computer program is executed.
6. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 2.
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