CN113706059A - Material management evidence storage platform based on block chain - Google Patents
Material management evidence storage platform based on block chain Download PDFInfo
- Publication number
- CN113706059A CN113706059A CN202111263776.9A CN202111263776A CN113706059A CN 113706059 A CN113706059 A CN 113706059A CN 202111263776 A CN202111263776 A CN 202111263776A CN 113706059 A CN113706059 A CN 113706059A
- Authority
- CN
- China
- Prior art keywords
- analysis
- enterprises
- enterprise
- materials
- storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
-
- 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
Abstract
The invention discloses a material management evidence storage platform based on a block chain, which relates to the technical field of material management and solves the technical problem that enterprises in the market can not carry out reasonable material transaction in the prior art, analyzes material flow corresponding to the enterprises in a block, judges the real-time material flow state of an enterprise, reduces the storage cost of the enterprise on the materials, reduces the probability of blocked or stagnant material flow storage of the materials, promotes the utilization rate of the materials of the enterprise and reduces the storage cost of the materials at the same time; the analysis enterprises corresponding to each block are matched with each other, and the matched analysis enterprises are subjected to material trading, so that the influence caused by shortage of enterprise materials is reduced, and the pressure is relieved for market resource circulation; the material storage of each block corresponding to the analysis enterprise is analyzed, the storage value of the analysis enterprise is judged according to the storage material analysis, and the reduction of the use profit of the material caused by overhigh storage cost is prevented.
Description
Technical Field
The invention relates to the technical field of material management, in particular to a material management evidence storage platform based on a block chain.
Background
The material management system is the management of the logistics business of the relative enterprise, offer the great convenience for the enterprise in the aspects such as material management, not merely help the unity of the enterprise to manage, and also greatly raised the efficiency of the enterprise in the aspect of logistics management; the material management can be a trivial, complicated and delicate work which cannot allow frequent errors, the manual operation of decades ago is far from the development steps of modern enterprises, the development of the era determines the development of the enterprises, and the development of the enterprises is necessarily perfect, so that the automation of enterprise market management is completely the necessary result of the era, and the reasonable utilization of the management system which is favorable for the development of the enterprises is a superior embodiment of enterprise reform;
however, in the prior art, when enterprise materials are managed, the market cannot be analyzed to judge the trend of the corresponding materials; meanwhile, each enterprise cannot be connected to conduct material trading of the enterprises, so that the management efficiency of the materials of the enterprises in the market is low, and the circulation pressure of the well-sold materials in the market cannot be effectively relieved; furthermore, the inability to analyze the storage of materials within an individual enterprise leads to increased production costs;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, provides a material management evidence storage platform based on a block chain, and judges the affiliated relationship between each enterprise and an analysis object, so that the use of the corresponding analysis object of each enterprise is detected, the flowing trend of the analysis object in the market is more accurately acquired, and the accuracy performance of data outside the chain is improved; the material flow corresponding to the enterprises in the block is analyzed, the real-time material flow state of the enterprises is judged, the storage cost of the enterprises for the materials is reduced, the probability of blocked material flow or flow stagnation storage is reduced, the utilization rate of the enterprise materials is promoted, and the material storage cost is reduced; the analysis enterprises corresponding to each block are matched with each other, and the matched analysis enterprises are subjected to material trading, so that the influence caused by shortage of enterprise materials is reduced, and the pressure is relieved for market resource circulation; the material storage of each block corresponding to the analysis enterprise is analyzed, the storage value of the analysis enterprise is judged according to the storage material analysis, and the reduction of the use profit of the material caused by overhigh storage cost is prevented.
The purpose of the invention can be realized by the following technical scheme:
the material management evidence storage platform based on the block chain comprises an in-chain data management platform and an out-chain data management platform, wherein a server is arranged in the in-chain data management platform, and is in communication connection with a flow analysis unit, a storage analysis unit, a processing matching unit and a plurality of blocks; a processor is arranged in the data management platform outside the chain, and the processor is in communication connection with a trend analysis unit and an enterprise analysis unit;
analyzing various materials outside the block chain through an off-chain data management platform, generating a trend analysis signal by a processor, sending the trend analysis signal to a trend analysis unit, analyzing the trend of an analysis object through the trend analysis unit, and analyzing an enterprise through an enterprise analysis unit;
managing and controlling analysis objects corresponding to enterprises in the block chain through a data management platform in the chain, analyzing material flow corresponding to the enterprises in the block through a flow analysis unit, and judging real-time material flow states of the enterprises; matching the corresponding analysis enterprises of each block through a processing matching unit; and analyzing the material storage of the corresponding analysis enterprise of each block through the storage analysis unit.
As a preferred embodiment of the present invention, the trend analysis process of the trend analysis unit is as follows:
acquiring the amount of finished transaction and the amount of pre-trade orders of each analysis object in the market, and comparing the amount of finished transaction and the amount of pre-trade orders of the analysis objects with a threshold value of the amount of finished transaction and a threshold value of the amount of pre-trade orders respectively:
if the transaction completion amount of the analysis object is larger than the transaction completion amount threshold value and the pre-transaction order amount is larger than the pre-transaction order amount threshold value, judging that the supply of the corresponding analysis object is insufficient, and marking the corresponding analysis object as a demand object; if the transaction completion amount of the analysis object is larger than the transaction completion amount threshold value and the pre-transaction order amount is smaller than the pre-transaction order amount threshold value, judging that the supply of the corresponding analysis object is satisfied, and marking the corresponding analysis object as a satisfied object; if the transaction completion amount of the analysis object is smaller than the transaction completion amount threshold value and the pre-transaction order amount is smaller than the pre-transaction order amount threshold value, judging that the corresponding analysis object is in flow stagnation, and marking the corresponding analysis object as a stagnation object;
the demand object, the satisfaction object, and the cancellation object are sent to a processor.
As a preferred embodiment of the present invention, the enterprise analysis process of the enterprise analysis unit is as follows:
marking enterprises corresponding to the analysis objects in the market as analysis enterprises, binding the analysis objects and the analysis enterprises one by one, collecting the daily usage amount and the quantity supplement frequency of the analysis objects bound by the analysis enterprises, and comparing the daily usage amount and the quantity supplement frequency of the analysis objects bound by the analysis enterprises with a daily usage amount threshold value and a quantity supplement frequency threshold value respectively:
if the daily usage of the analysis object bound by the analysis enterprise is greater than the daily usage threshold and the volume supplementation frequency is greater than the volume supplementation frequency threshold, marking the corresponding analysis enterprise as a demand enterprise corresponding to the analysis object;
if the daily usage of the analysis object bound by the analysis enterprise is smaller than the daily usage threshold and the volume supplementation frequency is smaller than the volume supplementation frequency threshold, marking the corresponding analysis enterprise as an enterprise which does not need to be analyzed and corresponds to the analysis object;
and sending the required enterprises and the non-required enterprises of the analysis objects to the processor.
As a preferred embodiment of the present invention, the flow analysis process of the flow analysis unit is as follows:
marking enterprises stored in the blocks as analysis enterprises, setting marks o and o as natural numbers larger than 1, collecting related materials of the corresponding analysis enterprises for operation, marking the related materials as the related materials, and setting marks k as natural numbers larger than 1; setting flow analysis time, acquiring the material quantity consumption speed and the ratio of real-time consumption to the original storage total quantity of a corresponding analysis enterprise in the flow analysis time, and respectively marking the material quantity consumption speed and the ratio of the real-time consumption to the original storage total quantity of the corresponding analysis enterprise in the flow analysis time as XHVok and YCLok;
obtaining a flow coefficient Xok of the corresponding related materials of the analysis enterprise through analysis, and comparing the flow coefficient of the corresponding related materials of the analysis enterprise with a flow coefficient threshold range:
if the flow coefficient of the analysis enterprise corresponding to the related materials is larger than the flow coefficient threshold range, judging that the analysis enterprise has large requirements on the related materials, and marking the related materials as the required materials of the analysis enterprise; if the demand enterprise corresponding to the demand supplies is consistent with the analysis enterprise, judging that the corresponding analysis enterprise is a stable downstream enterprise requiring the supplies; if the demand enterprise corresponding to the demand supplies is inconsistent with the analysis enterprise, judging that the corresponding analysis enterprise is a temporary downstream enterprise requiring the supplies; the required materials and corresponding stable downstream enterprises and temporary downstream enterprises are sent to a server;
if the flow coefficient of the analysis enterprise corresponding to the related materials is within the flow coefficient threshold range, judging that the analysis enterprise has normal requirements on the related materials, generating a normal circulation signal and sending the normal circulation signal to a server;
if the flow coefficient of the analysis enterprise corresponding to the related materials is smaller than the flow coefficient threshold range, judging that the analysis enterprise has small requirements on the related materials, and marking the related materials as secondary required materials of the analysis enterprise; if the enterprise which does not need the materials and needs the materials correspondingly is consistent with the analysis enterprise, the corresponding analysis enterprise is judged to be a stable upstream enterprise needing the materials secondarily; if the enterprise which does not need the materials and corresponds to the secondary demand materials is inconsistent with the analysis enterprise, the corresponding analysis enterprise is judged to be a temporary upstream enterprise of the secondary demand materials; and sending the secondary demand supplies and the corresponding stable upstream enterprises and temporary upstream enterprises to a server.
As a preferred embodiment of the present invention, the process matching procedure of the process matching unit is as follows:
acquiring stable downstream enterprises and temporary downstream enterprises which need supplies in a server, and marking the stable downstream enterprises and the temporary downstream enterprises as buyer enterprises; acquiring stable upstream enterprises and temporary upstream enterprises which need supplies in the server, and marking the stable upstream enterprises and temporary upstream enterprises as seller enterprises; monitoring seller enterprises and buyer enterprises in real time, matching the corresponding seller enterprises and the corresponding buyer enterprises if the required materials of the buyer enterprises are consistent with the secondary required materials of the seller enterprises, carrying out detailed pairing according to the seller supply quantity and the buyer demand quantity, enabling the difference value of the seller supply quantity of the detailed paired seller enterprises and the buyer demand quantity of the buyer enterprises to be in accordance with the corresponding difference threshold range, and carrying out communication connection on the corresponding blocks of the detailed paired seller enterprises and the buyer enterprises; in the matching of the seller enterprises and the buyer enterprises, if the buyer enterprises are temporary downstream enterprises, the preferential matching is carried out, and when the temporary downstream enterprises are preferentially matched, gradient preference is set for the buyer enterprises of the stable downstream enterprises according to the demand quantity; and if the seller enterprises are temporary upstream enterprises, performing priority matching, and setting gradient preference for the seller enterprises of the stable upstream enterprises according to the supply amount when the temporary upstream enterprises are preferentially matched.
In a preferred embodiment of the present invention, the storage analysis process of the storage analysis unit is as follows:
acquiring the storage interval duration and the material delivery frequency of the corresponding storage materials of the analysis enterprise, and comparing the storage interval duration and the material delivery frequency of the corresponding storage materials of the analysis enterprise with a storage interval duration threshold and a delivery frequency threshold respectively:
if the storage interval duration of the corresponding storage materials of the analysis enterprise is greater than the storage interval duration threshold and the material delivery frequency is less than the delivery frequency threshold, marking the corresponding storage materials as high materials, and if the enterprises which do not need to acquire the high materials are consistent with the corresponding analysis enterprise or the high materials are consistent with the lost sales object, marking the corresponding high materials as timely processing materials of the corresponding analysis enterprise; if the demand enterprises with high storage materials are consistent with the corresponding analysis enterprises or the demand objects of the high storage materials are consistent with the demand objects, marking the corresponding high storage materials as bargaining treatment materials of the corresponding analysis enterprises; and sending the timely processed materials and the price-bargaining processed materials to a server;
if the storage interval time of the corresponding storage materials of the analysis enterprise is smaller than the storage interval time threshold or the material delivery frequency is smaller than the delivery frequency threshold, marking the corresponding storage materials as low storage materials, generating a normal storage signal and sending the normal storage signal to the server.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the circulation trend of the analysis object on the market is judged, the pertinence of material management is improved, and the management efficiency is indirectly improved; the affiliated relationship between each enterprise and the analysis object is judged, so that the use of the corresponding analysis object of each enterprise is detected, the flowing trend of the analysis object in the market is more accurately acquired, and the accuracy performance of the data outside the chain is improved;
according to the invention, the material flow corresponding to the enterprises in the block is analyzed, the real-time material flow state of the enterprises is judged, the storage cost of the enterprises for the materials is reduced, the probability of blocked material flow or flow stagnation storage is reduced, the utilization rate of the materials of the enterprises is promoted, and the material storage cost is reduced; the analysis enterprises corresponding to each block are matched with each other, and the matched analysis enterprises are subjected to material trading, so that the influence caused by shortage of enterprise materials is reduced, and the pressure is relieved for market resource circulation; the material storage of each block corresponding to the analysis enterprise is analyzed, the storage value of the analysis enterprise is judged according to the storage material analysis, and the reduction of the use profit of the material caused by overhigh storage cost is prevented.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic 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, the material management evidence storage platform based on the block chain comprises an in-chain data management platform and an out-chain data management platform, wherein a server is arranged in the in-chain data management platform, and the server is in communication connection with a flow analysis unit, a storage analysis unit, a processing matching unit and a plurality of blocks; a processor is arranged in the data management platform outside the chain, and the processor is in communication connection with a trend analysis unit and an enterprise analysis unit;
the off-chain data management platform is used for analyzing various materials outside the block chain, various material marks are the analysis object on the market, and set up reference numeral i, i is the natural number that is greater than 1, the treater generates and moves towards the analysis signal and will move towards the analysis signal and send to and move towards the analysis unit, it is used for moving towards the analysis to the analysis object to move towards the analysis unit, judge the trend that the analysis object circulates on the market, improve the pertinence of material management, the efficiency of management has been indirectly improved, concrete trend analytic process is as follows:
acquiring the amount of finished transaction and the amount of pre-trade orders of each analysis object in the market, and comparing the amount of finished transaction and the amount of pre-trade orders of the analysis objects with a threshold value of the amount of finished transaction and a threshold value of the amount of pre-trade orders respectively:
if the transaction completion amount of the analysis object is larger than the transaction completion amount threshold value and the pre-transaction order amount is larger than the pre-transaction order amount threshold value, judging that the supply of the corresponding analysis object is insufficient, and marking the corresponding analysis object as a demand object;
if the transaction completion amount of the analysis object is larger than the transaction completion amount threshold value and the pre-transaction order amount is smaller than the pre-transaction order amount threshold value, judging that the supply of the corresponding analysis object is satisfied, and marking the corresponding analysis object as a satisfied object;
if the transaction completion amount of the analysis object is smaller than the transaction completion amount threshold value and the pre-transaction order amount is smaller than the pre-transaction order amount threshold value, judging that the corresponding analysis object is in flow stagnation, and marking the corresponding analysis object as a stagnation object;
sending the demand object, the satisfaction object and the cancellation object to a processor;
the processor receives the demand object, satisfies the object and generates enterprise analysis signal and with enterprise analysis signal transmission to enterprise analysis unit after the object is lost, enterprise analysis unit is used for carrying out the analysis to the enterprise, judges each enterprise and analysis object's affiliated relation to corresponding analysis object to each enterprise uses and detects, and the more accurate collection analysis object is at the trend that flows in market, has improved the accuracy performance of the extra-chain data, and concrete enterprise analysis process is as follows:
marking enterprises corresponding to the analysis objects in the market as analysis enterprises, binding the analysis objects and the analysis enterprises one by one, collecting the daily usage amount and the quantity supplement frequency of the analysis objects bound by the analysis enterprises, and comparing the daily usage amount and the quantity supplement frequency of the analysis objects bound by the analysis enterprises with a daily usage amount threshold value and a quantity supplement frequency threshold value respectively:
if the daily usage of the analysis object bound by the analysis enterprise is greater than the daily usage threshold and the volume supplementation frequency is greater than the volume supplementation frequency threshold, marking the corresponding analysis enterprise as a demand enterprise corresponding to the analysis object;
if the daily usage of the analysis object bound by the analysis enterprise is smaller than the daily usage threshold and the volume supplementation frequency is smaller than the volume supplementation frequency threshold, marking the corresponding analysis enterprise as an enterprise which does not need to be analyzed and corresponds to the analysis object;
sending the required enterprises and the non-required enterprises of the analysis object to a processor;
after receiving the required enterprises and the non-required enterprises of the analysis objects, the processor sends the required enterprises and the non-required enterprises of the analysis objects and the attributes of the analysis objects to the in-chain data management platform together, wherein the attributes of the analysis objects are expressed as required objects, satisfied objects and lost objects;
the intra-chain data management platform is used for managing and controlling the analysis objects corresponding to the enterprises in the block chain, correspondingly storing the enterprises with or without requirements of the analysis objects into the blocks, and only storing a single analysis object in the single block; after the block is stored, a block operation signal is generated and the block operation signal and a corresponding block number are sent to a server, after the server receives the block operation signal and the corresponding block number, an enterprise in the corresponding block is analyzed and controlled, a flow analysis signal is generated and sent to a flow analysis unit, the flow analysis unit is used for analyzing the material flow corresponding to the enterprise in the block, the real-time material flow state of the enterprise is judged, the storage cost of the enterprise for the material is reduced, the probability that the material flow is blocked or the material flow is stagnated for storage is reduced, the material storage cost is reduced while the material utilization rate of the enterprise is promoted, and the specific flow analysis process is as follows:
marking enterprises stored in the blocks as analysis enterprises, setting marks o and o as natural numbers larger than 1, collecting related materials of the corresponding analysis enterprises for operation, marking the related materials as the related materials, and setting marks k as natural numbers larger than 1; setting flow analysis time, acquiring the material quantity consumption speed and the ratio of real-time consumption to the original storage total quantity of a corresponding analysis enterprise in the flow analysis time, and respectively marking the material quantity consumption speed and the ratio of the real-time consumption to the original storage total quantity of the corresponding analysis enterprise in the flow analysis time as XHVok and YCLok;
obtaining a flow coefficient Xok of a corresponding related material of an analysis enterprise through a formula, wherein a1 and a2 are preset proportionality coefficients, a1 is larger than a2 is larger than 0, beta is an error correction factor, and the value is 1.02; the flow coefficient of the material related to the analysis enterprise is a numerical value for judging the flowability of the material related to the analysis enterprise by carrying out normalization processing on the parameter of the material related to the analysis enterprise; the higher the consumption speed of the material quantity obtained through a formula is, and the smaller the ratio of the real-time consumption to the original storage total quantity is, the higher the flow coefficient of the material related to the analysis enterprise is, and the higher the fluidity of the material related to the analysis enterprise is;
comparing the flow coefficient of the analysis enterprise corresponding to the involved materials with a flow coefficient threshold range:
if the flow coefficient of the analysis enterprise corresponding to the related materials is larger than the flow coefficient threshold range, judging that the analysis enterprise has large requirements on the related materials, and marking the related materials as the required materials of the analysis enterprise; if the demand enterprise corresponding to the demand supplies is consistent with the analysis enterprise, judging that the corresponding analysis enterprise is a stable downstream enterprise requiring the supplies; if the demand enterprise corresponding to the demand supplies is inconsistent with the analysis enterprise, judging that the corresponding analysis enterprise is a temporary downstream enterprise requiring the supplies; the required materials and corresponding stable downstream enterprises and temporary downstream enterprises are sent to a server;
if the flow coefficient of the analysis enterprise corresponding to the related materials is within the flow coefficient threshold range, judging that the analysis enterprise has normal requirements on the related materials, generating a normal circulation signal and sending the normal circulation signal to a server;
if the flow coefficient of the analysis enterprise corresponding to the related materials is smaller than the flow coefficient threshold range, judging that the analysis enterprise has small requirements on the related materials, and marking the related materials as secondary required materials of the analysis enterprise; if the enterprise which does not need the materials and needs the materials correspondingly is consistent with the analysis enterprise, the corresponding analysis enterprise is judged to be a stable upstream enterprise needing the materials secondarily; if the enterprise which does not need the materials and corresponds to the secondary demand materials is inconsistent with the analysis enterprise, the corresponding analysis enterprise is judged to be a temporary upstream enterprise of the secondary demand materials; sending the secondary demand supplies and the corresponding stable upstream enterprises and temporary upstream enterprises to a server;
the server generates and processes the matching signal and sends the processing matching signal to the processing matching unit, the processing matching unit is used for matching the corresponding analysis enterprises of each block, the matched analysis enterprises are subjected to material transaction, the influence caused by the shortage of the enterprise materials is reduced, meanwhile, the pressure is relieved for the circulation of market resources, and the specific processing matching process is as follows:
acquiring stable downstream enterprises and temporary downstream enterprises which need supplies in a server, and marking the stable downstream enterprises and the temporary downstream enterprises as buyer enterprises; acquiring stable upstream enterprises and temporary upstream enterprises which need supplies in the server, and marking the stable upstream enterprises and temporary upstream enterprises as seller enterprises; monitoring seller enterprises and buyer enterprises in real time, matching the corresponding seller enterprises and the corresponding buyer enterprises if the required materials of the buyer enterprises are consistent with the secondary required materials of the seller enterprises, carrying out detailed pairing according to the seller supply quantity and the buyer demand quantity, enabling the difference value of the seller supply quantity of the detailed paired seller enterprises and the buyer demand quantity of the buyer enterprises to be in accordance with the corresponding difference threshold range, and carrying out communication connection on the corresponding blocks of the detailed paired seller enterprises and the buyer enterprises; in the matching of the seller enterprises and the buyer enterprises, if the buyer enterprises are temporary downstream enterprises, the preferential matching is carried out, and when the temporary downstream enterprises are preferentially matched, gradient preference is set for the buyer enterprises of the stable downstream enterprises according to the demand quantity; if the seller enterprise is a temporary upstream enterprise, performing priority matching, and setting a gradient preference for the seller enterprise of the stable upstream enterprise according to the supply amount when the temporary upstream enterprise is preferentially matched;
the server generates a storage analysis signal and sends the storage analysis signal to the storage analysis unit, the storage analysis unit analyzes the material storage of each block corresponding to an analysis enterprise after receiving the storage analysis signal, the storage value of the storage material storage is judged according to the storage material analysis of the analysis enterprise, the use profit of the material caused by overhigh storage cost is prevented from being reduced, and the specific storage analysis process is as follows:
acquiring the storage interval duration and the material delivery frequency of the corresponding storage materials of the analysis enterprise, and comparing the storage interval duration and the material delivery frequency of the corresponding storage materials of the analysis enterprise with a storage interval duration threshold and a delivery frequency threshold respectively:
if the storage interval duration of the corresponding storage materials of the analysis enterprise is greater than the storage interval duration threshold and the material delivery frequency is less than the delivery frequency threshold, marking the corresponding storage materials as high materials, and if the enterprises which do not need to acquire the high materials are consistent with the corresponding analysis enterprise or the high materials are consistent with the lost sales object, marking the corresponding high materials as timely processing materials of the corresponding analysis enterprise; if the demand enterprises with high storage materials are consistent with the corresponding analysis enterprises or the demand objects of the high storage materials are consistent with the demand objects, marking the corresponding high storage materials as bargaining treatment materials of the corresponding analysis enterprises; and sending the timely processed materials and the price-bargaining processed materials to a server;
if the storage interval time length of the corresponding storage materials of the analysis enterprise is smaller than the storage interval time length threshold or the material delivery frequency is smaller than the delivery frequency threshold, marking the corresponding storage materials as low storage materials, generating a normal storage signal and sending the normal storage signal to the server;
the server selects two vacant blocks after receiving the timely processed materials and the bargained processed materials, and stores the timely processed materials and the bargained processed materials into the vacant blocks, wherein the vacant blocks are blocks which are not stored with data; the authorities of blocks corresponding to timely processed materials and bargained processed materials are set to be open in a chain, and when an analysis enterprise sends purchase information to the timely processed material blocks, the timely processed material blocks immediately carry out order matching; when the analysis enterprise sends the purchase information to the bargaining processing material block, the bargaining processing material block carries out price analysis, and the bargaining processing material and the analysis enterprise with high price are automatically matched for orders.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the system is used, various materials outside a block chain are analyzed through the data management platform outside the chain, the processor generates a trend analysis signal and sends the trend analysis signal to the trend analysis unit, the trend analysis unit analyzes the trend of an analysis object, and the enterprise analysis unit analyzes an enterprise; managing and controlling analysis objects corresponding to enterprises in the block chain through a data management platform in the chain, analyzing material flow corresponding to the enterprises in the block through a flow analysis unit, and judging real-time material flow states of the enterprises; matching the corresponding analysis enterprises of each block through a processing matching unit; and analyzing the material storage of the corresponding analysis enterprise of each block through the storage analysis unit.
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. The material management evidence storage platform based on the block chain is characterized by comprising an in-chain data management platform and an out-chain data management platform, wherein a server is arranged in the in-chain data management platform, and is in communication connection with a flow analysis unit, a storage analysis unit, a processing matching unit and a plurality of blocks; a processor is arranged in the data management platform outside the chain, and the processor is in communication connection with a trend analysis unit and an enterprise analysis unit;
analyzing various materials outside the block chain through an off-chain data management platform, generating a trend analysis signal by a processor, sending the trend analysis signal to a trend analysis unit, analyzing the trend of an analysis object through the trend analysis unit, and analyzing an enterprise through an enterprise analysis unit;
managing and controlling analysis objects corresponding to enterprises in the block chain through a data management platform in the chain, analyzing material flow corresponding to the enterprises in the block through a flow analysis unit, and judging real-time material flow states of the enterprises; matching the corresponding analysis enterprises of each block through a processing matching unit; and analyzing the material storage of the corresponding analysis enterprise of each block through the storage analysis unit.
2. The block chain-based material management evidence storage platform according to claim 1, wherein the trend analysis process of the trend analysis unit is as follows:
acquiring the amount of finished transaction and the amount of pre-trade orders of each analysis object in the market, and comparing the amount of finished transaction and the amount of pre-trade orders of the analysis objects with a threshold value of the amount of finished transaction and a threshold value of the amount of pre-trade orders respectively:
if the transaction completion amount of the analysis object is larger than the transaction completion amount threshold value and the pre-transaction order amount is larger than the pre-transaction order amount threshold value, judging that the supply of the corresponding analysis object is insufficient, and marking the corresponding analysis object as a demand object; if the transaction completion amount of the analysis object is larger than the transaction completion amount threshold value and the pre-transaction order amount is smaller than the pre-transaction order amount threshold value, judging that the supply of the corresponding analysis object is satisfied, and marking the corresponding analysis object as a satisfied object; if the transaction completion amount of the analysis object is smaller than the transaction completion amount threshold value and the pre-transaction order amount is smaller than the pre-transaction order amount threshold value, judging that the corresponding analysis object is in flow stagnation, and marking the corresponding analysis object as a stagnation object;
the demand object, the satisfaction object, and the cancellation object are sent to a processor.
3. The block chain-based material management evidence storing platform according to claim 1, wherein the enterprise analysis process of the enterprise analysis unit is as follows:
marking enterprises corresponding to the analysis objects in the market as analysis enterprises, binding the analysis objects and the analysis enterprises one by one, collecting the daily usage amount and the quantity supplement frequency of the analysis objects bound by the analysis enterprises, and comparing the daily usage amount and the quantity supplement frequency of the analysis objects bound by the analysis enterprises with a daily usage amount threshold value and a quantity supplement frequency threshold value respectively:
if the daily usage of the analysis object bound by the analysis enterprise is greater than the daily usage threshold and the volume supplementation frequency is greater than the volume supplementation frequency threshold, marking the corresponding analysis enterprise as a demand enterprise corresponding to the analysis object;
if the daily usage of the analysis object bound by the analysis enterprise is smaller than the daily usage threshold and the volume supplementation frequency is smaller than the volume supplementation frequency threshold, marking the corresponding analysis enterprise as an enterprise which does not need to be analyzed and corresponds to the analysis object;
and sending the required enterprises and the non-required enterprises of the analysis objects to the processor.
4. The block chain-based material management evidence storing platform as claimed in claim 1, wherein the flow analysis process of the flow analysis unit is as follows:
marking enterprises stored in the blocks as analysis enterprises, setting marks o and o as natural numbers larger than 1, collecting related materials of the corresponding analysis enterprises for operation, marking the related materials as the related materials, and setting marks k as natural numbers larger than 1; setting flow analysis time, acquiring the material quantity consumption speed and the ratio of real-time consumption to the original storage total quantity of a corresponding analysis enterprise in the flow analysis time, and respectively marking the material quantity consumption speed and the ratio of the real-time consumption to the original storage total quantity of the corresponding analysis enterprise in the flow analysis time as XHVok and YCLok;
obtaining a flow coefficient Xok of the corresponding related materials of the analysis enterprise through analysis, and comparing the flow coefficient of the corresponding related materials of the analysis enterprise with a flow coefficient threshold range:
if the flow coefficient of the analysis enterprise corresponding to the related materials is larger than the flow coefficient threshold range, judging that the analysis enterprise has large requirements on the related materials, and marking the related materials as the required materials of the analysis enterprise; if the demand enterprise corresponding to the demand supplies is consistent with the analysis enterprise, judging that the corresponding analysis enterprise is a stable downstream enterprise requiring the supplies; if the demand enterprise corresponding to the demand supplies is inconsistent with the analysis enterprise, judging that the corresponding analysis enterprise is a temporary downstream enterprise requiring the supplies; the required materials and corresponding stable downstream enterprises and temporary downstream enterprises are sent to a server;
if the flow coefficient of the analysis enterprise corresponding to the related materials is within the flow coefficient threshold range, judging that the analysis enterprise has normal requirements on the related materials, generating a normal circulation signal and sending the normal circulation signal to a server;
if the flow coefficient of the analysis enterprise corresponding to the related materials is smaller than the flow coefficient threshold range, judging that the analysis enterprise has small requirements on the related materials, and marking the related materials as secondary required materials of the analysis enterprise; if the enterprise which does not need the materials and needs the materials correspondingly is consistent with the analysis enterprise, the corresponding analysis enterprise is judged to be a stable upstream enterprise needing the materials secondarily; if the enterprise which does not need the materials and corresponds to the secondary demand materials is inconsistent with the analysis enterprise, the corresponding analysis enterprise is judged to be a temporary upstream enterprise of the secondary demand materials; and sending the secondary demand supplies and the corresponding stable upstream enterprises and temporary upstream enterprises to a server.
5. The block chain-based material management evidence storing platform as claimed in claim 1, wherein the processing and matching process of the processing and matching unit is as follows:
acquiring stable downstream enterprises and temporary downstream enterprises which need supplies in a server, and marking the stable downstream enterprises and the temporary downstream enterprises as buyer enterprises; acquiring stable upstream enterprises and temporary upstream enterprises which need supplies in the server, and marking the stable upstream enterprises and temporary upstream enterprises as seller enterprises; monitoring seller enterprises and buyer enterprises in real time, matching the corresponding seller enterprises and the corresponding buyer enterprises if the required materials of the buyer enterprises are consistent with the secondary required materials of the seller enterprises, carrying out detailed pairing according to the seller supply quantity and the buyer demand quantity, enabling the difference value of the seller supply quantity of the detailed paired seller enterprises and the buyer demand quantity of the buyer enterprises to be in accordance with the corresponding difference threshold range, and carrying out communication connection on the corresponding blocks of the detailed paired seller enterprises and the buyer enterprises; in the matching of the seller enterprises and the buyer enterprises, if the buyer enterprises are temporary downstream enterprises, the preferential matching is carried out, and when the temporary downstream enterprises are preferentially matched, gradient preference is set for the buyer enterprises of the stable downstream enterprises according to the demand quantity; and if the seller enterprises are temporary upstream enterprises, performing priority matching, and setting gradient preference for the seller enterprises of the stable upstream enterprises according to the supply amount when the temporary upstream enterprises are preferentially matched.
6. The block chain-based material management evidence storage platform of claim 1, wherein the storage analysis process of the storage analysis unit is as follows:
acquiring the storage interval duration and the material delivery frequency of the corresponding storage materials of the analysis enterprise, and comparing the storage interval duration and the material delivery frequency of the corresponding storage materials of the analysis enterprise with a storage interval duration threshold and a delivery frequency threshold respectively:
if the storage interval duration of the corresponding storage materials of the analysis enterprise is greater than the storage interval duration threshold and the material delivery frequency is less than the delivery frequency threshold, marking the corresponding storage materials as high materials, and if the enterprises which do not need to acquire the high materials are consistent with the corresponding analysis enterprise or the high materials are consistent with the lost sales object, marking the corresponding high materials as timely processing materials of the corresponding analysis enterprise; if the demand enterprises with high storage materials are consistent with the corresponding analysis enterprises or the demand objects of the high storage materials are consistent with the demand objects, marking the corresponding high storage materials as bargaining treatment materials of the corresponding analysis enterprises; and sending the timely processed materials and the price-bargaining processed materials to a server;
if the storage interval time of the corresponding storage materials of the analysis enterprise is smaller than the storage interval time threshold or the material delivery frequency is smaller than the delivery frequency threshold, marking the corresponding storage materials as low storage materials, generating a normal storage signal and sending the normal storage signal to the server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111263776.9A CN113706059B (en) | 2021-10-28 | 2021-10-28 | Material management evidence storage platform based on block chain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111263776.9A CN113706059B (en) | 2021-10-28 | 2021-10-28 | Material management evidence storage platform based on block chain |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113706059A true CN113706059A (en) | 2021-11-26 |
| CN113706059B CN113706059B (en) | 2022-02-11 |
Family
ID=78647333
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111263776.9A Active CN113706059B (en) | 2021-10-28 | 2021-10-28 | Material management evidence storage platform based on block chain |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113706059B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743999A (en) * | 2021-11-08 | 2021-12-03 | 江苏荣泽信息科技股份有限公司 | Block chain-based chain brand site selection management system for multi-region marketing strategy |
| CN115082094A (en) * | 2022-08-23 | 2022-09-20 | 江苏荣泽信息科技股份有限公司 | Enterprise electronic statistics standing book system platform |
| CN115412464A (en) * | 2022-11-01 | 2022-11-29 | 江苏荣泽信息科技股份有限公司 | Dynamic expansion scheme of block chain based on flow |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807953A (en) * | 2017-09-28 | 2018-03-16 | 合肥博力生产力促进中心有限公司 | A kind of information cloud platform management system based on block chain |
| CN109934488A (en) * | 2019-03-11 | 2019-06-25 | 清华大学 | A kind of pool formula sci-tech innovation resources management system and method |
| CN109978573A (en) * | 2019-04-03 | 2019-07-05 | 上海中商网络股份有限公司 | A kind of information source tracing system based on block chain |
| CN110097445A (en) * | 2018-12-11 | 2019-08-06 | 周晓辉 | Internet finance cloud transaction platform and implementation method based on block chain |
| CN110852595A (en) * | 2019-11-07 | 2020-02-28 | 国网浙江省电力有限公司 | Electric power material full life cycle management mechanism based on alliance chain |
| CN111371771A (en) * | 2020-02-28 | 2020-07-03 | 智慧谷(厦门)物联科技有限公司 | Intelligent park enterprise management platform and method based on cloud computing and block chain technology |
| CN111368999A (en) * | 2020-01-13 | 2020-07-03 | 江苏佳利达国际物流股份有限公司 | Logistics scheduling system |
| CN112732823A (en) * | 2020-12-30 | 2021-04-30 | 福建正孚软件有限公司 | Method for realizing enterprise material supply whole process monitoring system |
| CN113052701A (en) * | 2021-04-02 | 2021-06-29 | 成都茶满仓物联网科技有限公司 | Tea transaction management system and transaction method based on block chain |
| CN113223678A (en) * | 2021-03-19 | 2021-08-06 | 中国信息通信研究院 | Medical material guarantee scheduling system |
-
2021
- 2021-10-28 CN CN202111263776.9A patent/CN113706059B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807953A (en) * | 2017-09-28 | 2018-03-16 | 合肥博力生产力促进中心有限公司 | A kind of information cloud platform management system based on block chain |
| CN110097445A (en) * | 2018-12-11 | 2019-08-06 | 周晓辉 | Internet finance cloud transaction platform and implementation method based on block chain |
| CN109934488A (en) * | 2019-03-11 | 2019-06-25 | 清华大学 | A kind of pool formula sci-tech innovation resources management system and method |
| CN109978573A (en) * | 2019-04-03 | 2019-07-05 | 上海中商网络股份有限公司 | A kind of information source tracing system based on block chain |
| CN110852595A (en) * | 2019-11-07 | 2020-02-28 | 国网浙江省电力有限公司 | Electric power material full life cycle management mechanism based on alliance chain |
| CN111368999A (en) * | 2020-01-13 | 2020-07-03 | 江苏佳利达国际物流股份有限公司 | Logistics scheduling system |
| CN111371771A (en) * | 2020-02-28 | 2020-07-03 | 智慧谷(厦门)物联科技有限公司 | Intelligent park enterprise management platform and method based on cloud computing and block chain technology |
| CN112732823A (en) * | 2020-12-30 | 2021-04-30 | 福建正孚软件有限公司 | Method for realizing enterprise material supply whole process monitoring system |
| CN113223678A (en) * | 2021-03-19 | 2021-08-06 | 中国信息通信研究院 | Medical material guarantee scheduling system |
| CN113052701A (en) * | 2021-04-02 | 2021-06-29 | 成都茶满仓物联网科技有限公司 | Tea transaction management system and transaction method based on block chain |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743999A (en) * | 2021-11-08 | 2021-12-03 | 江苏荣泽信息科技股份有限公司 | Block chain-based chain brand site selection management system for multi-region marketing strategy |
| CN115082094A (en) * | 2022-08-23 | 2022-09-20 | 江苏荣泽信息科技股份有限公司 | Enterprise electronic statistics standing book system platform |
| CN115412464A (en) * | 2022-11-01 | 2022-11-29 | 江苏荣泽信息科技股份有限公司 | Dynamic expansion scheme of block chain based on flow |
| CN115412464B (en) * | 2022-11-01 | 2023-03-24 | 江苏荣泽信息科技股份有限公司 | Dynamic expansion method of block chain based on flow |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113706059B (en) | 2022-02-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113706059B (en) | Material management evidence storage platform based on block chain | |
| CN106408341A (en) | Goods sales volume prediction method and device, and electronic equipment | |
| CN106339832A (en) | Method and system for electronic commerce integrated procurement and replenishment | |
| CN112508436A (en) | Supplier product purchasing method and device and storage medium | |
| CN111176635A (en) | Modularized quantization system, execution method thereof and electronic equipment | |
| WO2021114674A1 (en) | Method and apparatus for determining strategy for medium- and long-term purchase and sale of electricity | |
| CN110363468B (en) | Method and device for determining purchase order, server and readable storage medium | |
| CN115330292A (en) | Intelligent analysis method and system for enterprise purchasing | |
| CN107316245A (en) | Expense adjusts method and system | |
| Carmona et al. | The self-financing equation in high frequency markets | |
| CN109191205A (en) | A kind of price calculation method and terminal device based on prediction model | |
| CN112801591A (en) | Method, system, terminal and storage medium for managing low-value consumable | |
| US20100280969A1 (en) | Method and system for managing pension portfolios | |
| CN101702225A (en) | Quick quotation system of forging machine tool and quick quotation method thereof | |
| CN111415232A (en) | Bidding cloud platform and using method thereof | |
| CN110335146A (en) | A kind of method and apparatus that financing limit calculates | |
| CN102906780A (en) | Methods and systems for patent valuation using financial ratios | |
| CN115375278A (en) | Business work order processing method and device, electronic equipment and storage medium | |
| CN112131470B (en) | Invoice three-order matching method based on linear optimization | |
| CN113902433A (en) | Client bill overdue analysis method and system for enterprise | |
| CN112529456A (en) | Supplier evaluation system, supplier evaluation method, background equipment and storage medium | |
| CN112102096A (en) | Online verification method and system for financial product valuation | |
| CN113505338A (en) | Electric power retail package purchase electric quantity intelligent adjusting device under electric power market environment | |
| CN117408616A (en) | Order staged follow-up management system based on cloud computing | |
| CN116432970A (en) | Method, device, equipment and storage medium for determining house demand elasticity parameters |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |