CN114971745A - Planting and breeding long-term market data collection statistical method and system based on block chain - Google Patents
Planting and breeding long-term market data collection statistical method and system based on block chain Download PDFInfo
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Abstract
The invention provides a planting and breeding long-term market data collecting and counting method and system based on a block chain, and relates to data processing technologies such as data collecting and counting and a block chain organization architecture technology; the method comprises four steps of information registration, information inquiry and intention release, supply and demand information matching message pushing, transaction management and long-term market data collection and real-time statistics based on a block chain; the system architecture comprises an application layer, a contract layer, an excitation layer, a consensus layer, a network layer, a data layer, an infrastructure layer and cross-layer functions; the system utilizes the characteristics of transparency, credibility, tamper-proof traceability, high system reliability and the like of the block chain, and combines the method to establish an excitation mechanism for industry data collection, solve the technical problems of long-term market data collection and other statistics of the industry and achieve the technical effects of improving the quality and quantity of data collection so as to gradually improve the accuracy, timeliness and integrity of the statistics result.
Description
Technical Field
The invention relates to data processing technologies such as data collection and statistics, and further relates to a block chain organization structure technology, in particular to a planting and breeding long-term market data collection and statistics method and system based on a block chain.
Background
The Chinese planting and breeding industry has a large number of working population and highly dispersed production, and industrial production and marketing data, particularly long-term market data, are difficult to collect, so that the problems of inaccurate, untimely and incomplete statistical results are caused. However, the prior art cannot solve the technical problems of statistics such as long-term market data collection in the industry: although the invention patent with the publication number of CN109993628B introduces concepts such as trading and order agriculture on the blockchain, it does not mention the statistical functions such as data collection, sorting, calculation and analysis, and the incentive mechanisms such as statistical result utilization, so as to seriously weaken the power of each party participating in the alliance chain. A direct connection and direct reporting system (http:// zlzb. nahs. org. cn) of a farm dominated by a related institution requires farmers to report statistical data, most of the collected data is historical data, and the information has little reference value to the farmers; lack of incentive mechanism, insufficient participation of farmers, serious shortage of quality and quantity of data collection, and no talk about accuracy, timeliness and integrity of statistical results.
Disclosure of Invention
In order to improve the quality and quantity of data collection and further relieve or even gradually solve the technical problems of statistics such as planting and cultivation industry long-term market data collection, and the like, the invention provides a planting and cultivation long-term market data collection statistical method and system based on a block chain by utilizing the characteristics of transparency, credibility, tamper resistance, traceability, high system reliability and the like of the block chain, so as to establish and perfect an incentive mechanism for industry data collection and provide a corresponding block chain architecture and system.
A planting and breeding long-term market data collection statistical method based on a block chain comprises the following steps:
the method comprises the following steps: the purchasing trader and/or the planting and breeding producer respectively register information in the system;
step two: the method comprises the following steps that after a purchasing company inquires forward prices of futures markets of certain varieties and/or forward market information of the system, forward purchasing intentions with definite prices are sent out; and/or, the planting and breeding producer inquires the long-term market information of the system, calculates the cost and the expected profit and sends out a long-term selling intention with definite price;
step three: the system matches the registration information of the purchasing company with the forward selling intention of the planting and breeding producer, and pushes the forward selling intention message to the purchasing company after the matching is successful; or matching the registration information of the planting and breeding producers with the long-term acquisition intention of the acquisition provider, and pushing the long-term acquisition intention message to the planting and breeding producers after successful matching;
step four: after the two parties contact, understand and bargain, the planting and breeding producer and the purchasing company sign a forward contract to determine the delivery price; the system calls corresponding planting and breeding product long-term intelligent contracts and performs read-write interaction with block chain account book data;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to the statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and trend of a certain variety at a certain time, in the whole country or in a certain area.
On the basis of the technical scheme, the invention can be further improved as follows:
further, in the step one, the purchasing company registers information in the system;
the registration information comprises industry information, variety information, quality standard information, acquisition region information and delivery time period information, and each piece of information is provided with a switch option to determine whether to receive related push information;
in the first step, a planting and breeding producer registers information in a system;
the registration information comprises industry information, variety information, quality standard information, geographical location information of a producing area and delivery time period information, and each piece of information is provided with a switch option to determine whether to receive related push messages.
Furthermore, in the second step, after inquiring the future price of the future market of a certain variety and/or the information of the future market of the system, the acquirer sends out the intention of forward acquisition with definite price; and/or, the planting and breeding producer inquires the long-term market information of the system, calculates the cost and the expected profit and sends out a long-term selling intention with definite price;
the system long-term market information comprises long-term contract yield information, long-term average price information and trend information of a certain variety at a certain time, in the whole country or in a certain area;
planting and breeding producers calculate the cost and expense of production data and labor through the cost calculator of the system;
if the purchasing businessmen can not inquire a certain variety in the futures market, the system inquires consumption historical data, price historical data, current stock and current import and export quantity information of the variety.
Further, the system in the third step matches the registration information of the acquirer with the forward selling intention of the planting and breeding producer, and pushes the forward selling intention message to the acquirer after successful matching; or matching the registration information of the planting and breeding producers with the long-term acquisition intention of the acquisition provider, and pushing the long-term acquisition intention message to the planting and breeding producers after successful matching;
matching logics between industry information, variety information, quality standard information, acquisition region information and delivery time period information in the acquisition and purchase merchant registration information and industry information, variety information, quality standard information, production place geographical position information and delivery time information in the long-term selling intention of the planting and breeding producers are respectively equal to, contained and contained, and finally the matching result is the intersection of the matching results of each pair of items;
matching logics between the industry information, the variety information, the quality standard information, the acquisition region information and the delivery time information in the long-term acquisition intention of the acquisition provider and the industry information, the variety information, the quality standard information, the production place geographic position information and the delivery time period information in the registration information of the planting and breeding producers are respectively equal to, contained and contained, and finally the matching result is the intersection of the matching results of each pair of items.
Furthermore, in the fourth step, after the two parties contact, understand and bargain, the planting and breeding producer signs a forward contract with the buyer to determine the delivery price; the system calls corresponding planting and breeding product long-term intelligent contracts and performs read-write interaction with block chain account book data;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to a statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and trend of a certain variety at a certain time, in the whole country or in a certain area;
meanwhile, for the varieties available in the futures market, the acquirer conducts hedging on the futures market.
A block chain-based planting and breeding long-term market data collection and statistics system comprises an application layer, a contract layer, an excitation layer, a consensus layer, a network layer, a data layer, an infrastructure layer and cross-layer functions;
the application layer includes the following program modules, application scenarios, and graphical user interfaces: member management, instant messaging, a user center, account management, homepage information display, information registration of both purchasing and selling parties, long-term market information query, long-term purchase and sale intention release, supply and demand matching message push, long-term contract signing, real-time long-term market information statistics and transaction management, wherein a graphical user interface of an application layer is used for realizing the interaction between a system and a user;
the contract layer comprises planting and breeding product long-term intelligent contracts, script codes, algorithm mechanisms and intelligent contract execution environments, and is used for realizing the programmability of the block chain;
the incentive layer is used for encouraging users to participate in the block chain and giving punishment to nodes which do not comply with rules;
the consensus layer comprises a workload certification, a rights and interests certification, a Byzantine fault-tolerant algorithm, a RAFT algorithm and a BFT optimization-based algorithm, and is used for ensuring that the validity of block data of each node is consistent in a highly decentralized environment;
the network layer comprises a P2P network, a data propagation mechanism and a data verification mechanism, and is used for realizing an interaction model of block chain decentralization;
the data layer comprises block data, an SQL relational database, a timestamp, a Merkle tree, a Hash algorithm and an encryption algorithm; member management data, account management data, member data for homepage display, purchasing merchant, planting, cultivation producer information registration data, futures market API, forward market information real-time statistical data, forward purchasing, selling intention data, data for supply and demand matching message pushing, transaction management data and forward contract data of cultivated products are stored into block data and/or SQL relational databases according to needs;
the infrastructure layer comprises computing service, storage and network service, and is used for providing an operating environment and ensuring the normal operation of the block chain system;
cross-layer functions include development, operation, security, governance and auditing.
Further, the application layer includes the following program modules, application scenarios and graphical user interfaces: member management, instant messaging, a user center, account management, homepage information display, information registration of both purchasing and selling parties, long-term market information inquiry, long-term purchasing and selling intention release, supply and demand matching message pushing, long-term contract signing, real-time long-term market information statistics and transaction management, wherein a graphical user interface of an application layer is used for realizing the interaction between a system and a user;
wherein the member management comprises member registration and member login; the account management comprises account credit standing certification and account identity authentication; the transaction management comprises order management, payment management and credit evaluation management; the application layer also comprises the following program modules, application scenes and graphical user interfaces: a reference information query, cost profit calculator;
the data layer comprises block data, an SQL (structured query language) relational database, a timestamp, a Merkle tree, a Hash algorithm and an encryption algorithm; member management data, account management data, member data for homepage display, purchasing merchant, planting, cultivation producer information registration data, futures market API, forward market information real-time statistical data, forward purchasing, selling intention data, data for supply and demand matching message pushing, transaction management data and forward contract data of cultivated products are stored into block data and/or SQL relational databases according to needs;
wherein the member management data comprises member registration data and member login data; the account management data comprises account credit standing certification data and account identity authentication data; the long-term market information real-time statistical data comprises real-time statistical data of long-term contract yield of varieties, long-term average price and trend real-time statistical data; the transaction management data comprises order management data, payment management data and credit evaluation management data; the data layer also comprises a variety reference information API and a database.
The invention has the following advantages:
according to the invention, by introducing a block chain technology, by utilizing the characteristics of transparency, credibility, tamper resistance, traceability, high system reliability and the like, and combining a set of planting and breeding long-term market data collection and statistics method, an excitation mechanism for industry data collection is established, so that the quality and quantity of industry long-term market data collection are improved, and the accuracy, timeliness and integrity of statistical results are gradually improved. Meanwhile, the block chain is used for storing the certificate and the like to improve the transaction default cost and reduce the judicial evidence-taking and right-maintaining difficulty.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a data collection statistical method according to the present invention;
FIG. 2 is a general flow chart of an embodiment of a data collection statistical method of the present invention;
FIG. 3 is a diagram illustrating the matching algorithm of the present invention;
FIG. 4 is a general logic diagram of the operation of an intelligent contract according to the present invention;
FIG. 5 is a block chain architecture according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The first specific implementation way is as follows: the embodiment is described with reference to fig. 1 to 4, and the method for collecting and counting the long-term market data of planting and breeding based on the blockchain of the embodiment comprises the following steps:
the method comprises the following steps: the purchasing trader and/or the planting and breeding producer respectively register information in the system;
step two: the method comprises the following steps that after a purchasing company inquires forward prices of futures markets of certain varieties and/or forward market information of the system, forward purchasing intentions with definite prices are sent out; and/or, the planting and breeding producer inquires the long-term market information of the system, calculates the cost and the expected profit and sends out a long-term selling intention with definite price;
step three: the system matches the registration information of the purchasing company with the forward selling intention of the planting and breeding producer, and pushes the forward selling intention message to the purchasing company after the matching is successful; or matching the registration information of the planting and breeding producers with the long-term acquisition intention of the acquisition provider, and pushing the long-term acquisition intention message to the planting and breeding producers after successful matching;
step four: after the two parties contact, understand and bargain, the planting and breeding producer signs a forward contract with the purchasing company, determines the delivery price, and transfers the forward price fluctuation risk to the purchasing company; the system calls corresponding planting and breeding product long-term intelligent contracts and performs read-write interaction with block chain account book data;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to the statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and trend of a certain variety at a certain time, in the whole country or in a certain area.
In a preferred embodiment, in the first step of the present embodiment, the information is registered in the system by the buyer;
the registration information comprises industry information, variety information, quality standard information, acquisition region information and delivery time period information, and each piece of information is provided with a switch option to determine whether to receive related push information;
in the first step, a planting and breeding producer registers information in a system;
the registration information comprises industry information, variety information, quality standard information, geographical location information of a producing area and delivery time period information, and each piece of information is provided with a switch option to determine whether to receive related push messages.
In a preferred embodiment, in step two of the present embodiment, after querying the forward price of the future market of a certain variety and/or the forward market information of the system, the acquirer issues a forward acquisition intention with a definite price; and/or, the planting and breeding producer inquires the long-term market information of the system, calculates the cost and the expected profit and sends out a long-term selling intention with definite price;
the system long-term market information comprises long-term contract yield information, long-term average price information and trend information of a certain variety at a certain time, in the whole country or in a certain region;
planting and breeding producers calculate the cost and expense of production data and labor through the cost calculator of the system;
if the purchasing company can not inquire a certain variety in the futures market, the system can inquire the consumption historical data, the price historical data, the current inventory and the current import and export information of the variety.
In a preferred embodiment, in step three of the present embodiment, the system matches the registration information of the acquirer with the forward selling intention of the planting and breeding producer, and pushes the forward selling intention message to the acquirer after successful matching; or matching the registration information of the planting and breeding producers with the forward purchasing intention of a purchasing merchant, and pushing forward purchasing intention information to the planting and breeding producers after successful matching;
matching logics between industry information, variety information, quality standard information, acquisition region information and delivery time period information in the acquisition and purchase merchant registration information and industry information, variety information, quality standard information, production place geographical position information and delivery time information in the long-term selling intention of the planting and breeding producers are respectively equal to, contained and contained, and finally the matching result is the intersection of the matching results of each pair of items;
matching logics between the industry information, the variety information, the quality standard information, the acquisition region information and the delivery time information in the long-term acquisition intention of the acquisition provider and the industry information, the variety information, the quality standard information, the production place geographic position information and the delivery time period information in the registration information of the planting and breeding producers are respectively equal to, contained and contained, and finally the matching result is the intersection of the matching results of each pair of items.
In the preferred embodiment, after the two parties contact, understand and negotiate price in the fourth step of the embodiment, the planting and breeding producer signs a forward contract with the acquirer, determines the delivery price, and transfers the forward price fluctuation risk to the acquirer; the system calls corresponding planting and breeding product long-term intelligent contracts and performs read-write interaction with block chain account book data;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to a statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and trend of a certain variety at a certain time, in the whole country or in a certain area;
meanwhile, for the varieties in the futures market, the acquirer conducts hedging on the futures market, so that price risks are transferred to the futures market, and the self-side is guaranteed to obtain stable income.
The second embodiment is as follows: the embodiment is described with reference to fig. 5, and the architecture of the system for collecting and counting the long-term market data of planting and breeding based on the blockchain of the embodiment includes an application layer, a contract layer, an excitation layer, a consensus layer, a network layer, a data layer, an infrastructure layer and a cross-layer function;
the application layer includes the following program modules, application scenarios, and graphical user interfaces: member management, instant messaging, a user center, account management, homepage information display, information registration of both purchasing and selling parties, long-term market information inquiry, long-term purchasing and selling intention release, supply and demand matching message pushing, long-term contract signing, real-time long-term market information statistics and transaction management, wherein a graphical user interface of an application layer is used for realizing the interaction between a system and a user;
the contract layer comprises planting and breeding product long-term intelligent contracts, script codes, algorithm mechanisms and intelligent contract execution environments, and is used for realizing the programmability of the block chain;
the incentive layer is used for encouraging users to participate in the block chain and punishing nodes which do not comply with rules;
the consensus layer comprises a workload certification, a rights and interests certification, a Byzantine fault-tolerant algorithm, a RAFT algorithm and a BFT optimization-based algorithm, and is used for ensuring that the validity of block data of each node is consistent in a highly decentralized environment;
the network layer comprises a P2P network, a data propagation mechanism and a data verification mechanism, and is used for realizing an interaction model of block chain decentralization;
the data layer comprises block data, an SQL relational database, a timestamp, a Merkle tree, a Hash algorithm and an encryption algorithm; member management data, account management data, member data for homepage display, purchasing merchant, planting, cultivation producer information registration data, futures market API, forward market information real-time statistical data, forward purchasing, selling intention data, data for supply and demand matching message pushing, transaction management data and forward contract data of cultivated products are stored into block data and/or SQL relational databases according to needs;
the infrastructure layer comprises computing service, storage and network service, and is used for providing an operating environment and ensuring the normal operation of the block chain system;
cross-layer functions include development, operation, security, governance and auditing.
In a preferred embodiment, the application layer of this embodiment includes the following program modules, application scenarios, and graphical user interfaces: member management, instant messaging, a user center, account management, homepage information display, information registration of both purchasing and selling parties, long-term market information inquiry, long-term purchasing and selling intention release, supply and demand matching message pushing, long-term contract signing, real-time long-term market information statistics and transaction management, wherein a graphical user interface of an application layer is used for realizing the interaction between a system and a user;
wherein the member management comprises member registration and member login; the account management comprises account credit standing certification and account identity authentication; the transaction management comprises order management, payment management and credit evaluation management; the application layer also comprises the following program modules, application scenes and graphical user interfaces: a reference information query, cost profit calculator;
the data layer comprises block data, an SQL relational database, a timestamp, a Merkle tree, a Hash algorithm and an encryption algorithm; member management data, account management data, member data for homepage display, purchasing merchant, planting, cultivation producer information registration data, futures market API, forward market information real-time statistical data, forward purchasing, selling intention data, data for supply and demand matching message pushing, transaction management data and forward contract data of cultivated products are stored into block data and/or SQL relational databases according to needs;
wherein the member management data comprises member registration data and member login data; the account management data comprises account credit standing certification data and account identity authentication data; the long-term market information real-time statistical data comprises real-time statistical data of long-term contract yield of varieties, long-term average price and trend real-time statistical data; the transaction management data comprises order management data, payment management data and credit evaluation management data; the data layer also comprises a variety reference information API and a database.
The method and system for collecting and counting the long-term market data of planting and breeding based on the block chain are described in detail below with reference to the accompanying drawings.
Example 1
Taking soybeans as an example, as shown in fig. 2, the statistical method for collecting the planting forward market data based on the blockchain comprises the following steps:
the method comprises the following steps: the purchasing merchant registers industry information (agriculture), variety information (soybean), quality standard information (national standard three, etc.), purchasing region information (black river city of Heilongjiang province), delivery time period information (10 months-2 months of the next year) in the system, and opens a switch option of the information to receive related push messages;
and (or) the planting producer registers industry information (agriculture), variety information (soybean), quality standard information (national standard three, etc.), geographical location information (Crane farm in Yangtze river, Black dragon river, China), and information of a delivery time period (10 months-2 months in the next year) in the system, and opens a switch option of the information to receive related push messages;
step two: the purchasing trader sends out the forward purchasing intention with definite price after inquiring the forward price of the Dalian commodity exchange of the soybean and/or the forward contract yield information, the forward average price information and the trend information of the system in 11 months and 11 days in 2022, nationwide or Heilongjiang province;
and (or) the planting producer inquires the long-term contract yield information, long-term average price information and trend information of the soybeans in 11 th of the year 2022 or Heilongjiang province of the system; various costs and expenses such as rent, seeds, fertilizers, pesticides, water, electricity, agricultural films, manpower, agricultural machinery, agricultural technology, insurance, loan interest and the like are calculated through a cost calculator of the system, and after expected profits are calculated, a forward selling intention with definite price is sent out;
step three: the system matches the registration information of the acquirer with the forward selling intention of the planting producer, and pushes the forward selling intention message to the acquirer after the matching is successful; or matching the registration information of the planting producer with the long-term acquisition intention of the acquisition provider, and pushing the long-term acquisition intention message to the planting producer after successful matching;
as shown in fig. 3, the matching scenarios are divided into two types:
in a first scenario, matching logics between industry information (agriculture), variety information (soybeans), quality standard information (national third, etc.), purchasing region information (black river city in Heilongjiang province), delivery time period information (10 months-next year 2 months) items in purchasing merchant registration information and industry information (agriculture), variety information (soybeans), quality standard information (national third, etc.), production place geographical position information (Yangtze river city crane mountain farm in Heilongjiang province city), delivery time information (2022 years 11 months 11 days) items in the long-term selling intention of a planting producer are respectively equal to, contain and contain, and finally, a matching result is an intersection of matching results of each pair of items;
in a second scenario, matching logics between the industry information (agriculture), variety information (soybean), quality standard information (national standard three, etc.), acquisition region information (black river city of black dragon river province), delivery time information (11 th of 2022 year 11 th day) items in long-term acquisition intention of an acquisition provider and the industry information (agriculture), variety information (soybean), quality standard information (national standard three, etc.), production place geographical position information (Crane mountain farm in the tender river city of black dragon river city), delivery time period information (10 month-next year 2 month) items in registration information of a planting producer are respectively equal to, contain and contained, and finally a matching result is an intersection of matching results of each pair of the items;
step four: after the two parties contact, understand and bargain, the planting producer signs a forward contract with the purchasing company, determines the delivery price, and transfers the forward price fluctuation risk to the purchasing company; the system calls corresponding planting product long-term intelligent contracts and performs read-write interaction with block chain account book data; the general logic of the intelligent contract operation is shown in FIG. 4;
meanwhile, the acquisition trader carries out soybean hedging trading in the exchange of the Dalian commodity, thereby transferring the price risk to the futures market and ensuring that the own party obtains stable income;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to a statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and tendency of soybeans in 11 th and 11 th of 2022, nationwide or Heilongjiang province.
Example 2
Taking a live pig as an example, as shown in fig. 2, the block chain-based cultivation forward market data collection statistical method comprises the following steps:
the method comprises the following steps: the purchasing merchant registers industry information (animal husbandry), breed information (Changbai pigs), quality standard information (national standard is qualified), purchasing region information (Qingdao city, Shandong province) and delivery time period information (all the year), and switches on switch options of the information to receive related push messages;
and (or) the breeding producer registers industry information (animal husbandry), breed information (Changbai pig), quality standard information (national standard is qualified), geographical location information of production place (flatness city of Qingdao city, Shandong province) and delivery time period information (all year around) in the system, and switches on and off options of the information to receive related push messages;
step two: the purchasing merchant sends out the forward purchasing intention with definite price after inquiring the forward price of the big company commodity exchange of the live pig and/or the forward contract yield information, the forward average price information and the trend information of the whole country or Shandong province at 12 months and 12 days in 2022 of the system;
and (or) the breeding producer inquires the long-term contract yield information, the long-term average price information and the trend information of the long-white pigs in 12 months and 12 days in 2022 of the system or in Shandong province; various costs and expenses such as rent, piglet, feed, veterinary drug, vaccine, water, electricity, manpower, breeding equipment, agricultural technology, insurance, loan interest and the like are calculated through a cost calculator of the system, and after expected profits are calculated, a forward selling intention with definite price is sent out;
step three: the system matches the registration information of the acquisition provider with the forward selling intention of the culture producer, and pushes the forward selling intention message to the acquisition provider after successful matching; or matching the registration information of the breeding producer with the long-term acquisition intention of an acquirer, and pushing the long-term acquisition intention message to the breeding producer after successful matching;
as shown in fig. 3, the matching scenarios are divided into two types:
in a first scenario, matching logics between industry information (animal husbandry), breed information (Changbai pigs), quality standard information (national standard is qualified), acquisition region information (Shandong province Qingdao city), delivery time period information (whole year) items in the acquisition merchant registration information and industry information (animal husbandry) in the long-term selling intention of the breeding producers, breed information (Changbai pigs), quality standard information (national standard is qualified), geographical location information (Shandong province Qingdao city flatness city), delivery time information (2022 year 12 month 12 days) items are respectively equal to, contain and contain, and finally matching results take the intersection of each pair of item matching results;
in a second scenario, matching logics between the industry information (animal husbandry), breed information (long and white pigs), quality standard information (national standard is qualified), acquisition region information (Shandong Qingdao city), delivery time information (12 months and 12 days in 2022) items in long-term acquisition intention of an acquisition provider and the industry information (animal husbandry), breed information (long and white pigs), quality standard information (national standard is qualified), production place geographic position information (Shandong Qingdao city flatness city), delivery time period information (whole year) items in registration information of a breeding producer are respectively equal to, contain and contained, and finally a matching result is an intersection of each pair of item matching results;
step four: after the two parties contact, understand and bargain, the culture producer signs a forward contract with the purchasing company, determines the delivery price, and transfers the forward price fluctuation risk to the purchasing company; the system calls a corresponding culture product long-term intelligent contract and performs read-write interaction with the block chain account data; the general logic of the intelligent contract operation is shown in FIG. 4;
meanwhile, the procurement company carries out live pig hedging trading in the exchange of the large-scale continuous commodities, so that the price risk is transferred to the futures market, and the self-side is ensured to obtain stable income;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to a statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and tendency of the long-white pigs in 12 months in 2022, nationwide or Shandong province.
The architecture of the long-term market data collection and statistics system for planting and breeding based on a block chain in the two embodiments of the invention is shown in fig. 5, is the same as the system architecture in the invention content, and is not repeated herein for simplicity and convenience of description.
The above-mentioned embodiments only express the embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent should be subject to the appended claims.
The present invention is capable of other embodiments and its several details are capable of modifications in various obvious respects, all without departing from the spirit and scope of the present invention.
Claims (7)
1. A planting and breeding long-term market data collection statistical method based on a block chain is characterized by comprising the following steps:
the method comprises the following steps: the purchasing trader and/or the planting and breeding producer respectively register information in the system;
step two: the method comprises the following steps that after a purchasing company inquires forward prices of futures markets of certain varieties and/or forward market information of the system, forward purchasing intentions with definite prices are sent out; and/or, the planting and breeding producer inquires the long-term market information of the system, calculates the cost and the expected profit and sends out a long-term selling intention with definite price;
step three: the system matches the registration information of the purchasing company with the forward selling intention of the planting and breeding producer, and pushes the forward selling intention message to the purchasing company after the matching is successful; or matching the registration information of the planting and breeding producers with the long-term acquisition intention of the acquisition provider, and pushing the long-term acquisition intention message to the planting and breeding producers after successful matching;
step four: after the two parties contact, understand and bargain, the planting and breeding producer and the purchasing company sign a forward contract to determine the delivery price; the system calls corresponding planting and breeding product long-term intelligent contracts and performs read-write interaction with block chain account book data;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to the statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and trend of a certain variety at a certain time, in the whole country or in a certain area.
2. The blockchain-based planting and breeding forward market data collection statistical method according to claim 1, wherein in the first step, a buyer registers information in a system;
the registration information comprises industry information, variety information, quality standard information, acquisition region information and delivery time period information, and each piece of information is provided with a switch option to determine whether to receive related push information;
in the first step, a planting and breeding producer registers information in a system;
the registration information comprises industry information, variety information, quality standard information, geographical location information of a producing area and delivery time period information, and each piece of information is provided with a switch option to determine whether to receive related push messages.
3. The blockchain-based method for collecting and counting the market data of the planting and breeding in the forward stage according to claim 1, wherein in the second step, after inquiring the forward stage price of the future market of a certain variety and/or the forward stage market information of the system, the buyer sends forward stage purchase intention with a definite price; and/or, the planting and breeding producer inquires the long-term market information of the system, calculates the cost and the expected profit and sends out a long-term selling intention with definite price;
the system long-term market information comprises long-term contract yield information, long-term average price information and trend information of a certain variety at a certain time, in the whole country or in a certain region;
planting and breeding producers calculate the cost and expense of production data and labor through the cost calculator of the system;
if the purchasing company can not inquire a certain variety in the futures market, the system can inquire the consumption historical data, the price historical data, the current inventory and the current import and export information of the variety.
4. The method for collecting and counting the forward market data of planting and breeding based on blockchain as claimed in claim 1, wherein the system matches the registration information of the buyer with the forward selling intention of the planting and breeding producer in step three, and pushes the forward selling intention message to the buyer after the matching is successful; or matching the registration information of the planting and breeding producers with the long-term acquisition intention of the acquisition provider, and pushing the long-term acquisition intention message to the planting and breeding producers after successful matching;
matching logics between industry information, variety information, quality standard information, acquisition region information and delivery time period information in the acquisition and purchase merchant registration information and industry information, variety information, quality standard information, production place geographical position information and delivery time information in the long-term selling intention of the planting and breeding producers are respectively equal to, contained and contained, and finally the matching result is the intersection of the matching results of each pair of items;
matching logics between the industry information, the variety information, the quality standard information, the acquisition region information and the delivery time information in the long-term acquisition intention of the acquisition provider and the industry information, the variety information, the quality standard information, the production place geographic position information and the delivery time period information in the registration information of the planting and breeding producers are respectively equal to, contained and contained, and finally the matching result is the intersection of the matching results of each pair of items.
5. The blockchain-based planting and farming forward market data gathering statistical method of claim 1, wherein in step four, after the two parties contact, understand and bargain, planting and farming producers sign forward contracts with the acquiring merchants to determine the bargain price; the system calls corresponding planting and breeding product long-term intelligent contracts and performs read-write interaction with block chain account book data;
meanwhile, the system transmits the transaction data with contract timestamp marks, delivery time and geographical position of origin to a statistical module, so as to generate real-time statistical data of long-term contract yield, long-term average price and trend of a certain variety at a certain time, in the whole country or in a certain area;
meanwhile, for the varieties available in the futures market, the acquirer conducts hedging on the futures market.
6. A block chain-based planting and breeding long-term market data collection statistical system is characterized in that a framework comprises an application layer, a contract layer, an excitation layer, a consensus layer, a network layer, a data layer, an infrastructure layer and a cross-layer function;
the application layer includes the following program modules, application scenarios, and graphical user interfaces: member management, instant messaging, a user center, account management, homepage information display, information registration of both purchasing and selling parties, long-term market information inquiry, long-term purchasing and selling intention release, supply and demand matching message pushing, long-term contract signing, real-time long-term market information statistics and transaction management, wherein a graphical user interface of an application layer is used for realizing the interaction between a system and a user;
the contract layer comprises planting and breeding product long-term intelligent contracts, script codes, algorithm mechanisms and intelligent contract execution environments, and is used for realizing the programmability of the block chain;
the incentive layer is used for encouraging users to participate in the block chain and giving punishment to nodes which do not comply with rules;
the consensus layer comprises a workload certification, a rights and interests certification, a Byzantine fault-tolerant algorithm, a RAFT algorithm and a BFT optimization-based algorithm, and is used for ensuring that the validity of block data of each node is consistent in a highly decentralized environment;
the network layer comprises a P2P network, a data propagation mechanism and a data verification mechanism, and is used for realizing an interaction model of block chain decentralization;
the data layer comprises block data, an SQL relational database, a timestamp, a Merkle tree, a Hash algorithm and an encryption algorithm; member management data, account management data, member data for homepage display, purchasing merchant, planting, cultivation producer information registration data, futures market API, forward market information real-time statistical data, forward purchasing, selling intention data, data for supply and demand matching message pushing, transaction management data and forward contract data of cultivated products are stored into block data and/or SQL relational databases according to needs;
the infrastructure layer comprises computing service, storage and network service, and is used for providing an operating environment and ensuring the normal operation of the block chain system;
cross-layer functions include development, operation, security, governance and auditing.
7. The blockchain-based plantation and aquaculture forward market data collection statistics system of claim 6, wherein the application layer comprises the following program modules, application scenarios and graphical user interfaces: member management, instant messaging, a user center, account management, homepage information display, information registration of both purchasing and selling parties, long-term market information inquiry, long-term purchasing and selling intention release, supply and demand matching message pushing, long-term contract signing, real-time long-term market information statistics and transaction management, wherein a graphical user interface of an application layer is used for realizing the interaction between a system and a user;
wherein the member management comprises member registration and member login; the account management comprises account credit standing certification and account identity authentication; the transaction management comprises order management, payment management and credit evaluation management; the application layer also comprises the following program modules, application scenes and graphical user interfaces: a reference information query, cost profit calculator;
the data layer comprises block data, an SQL (structured query language) relational database, a timestamp, a Merkle tree, a Hash algorithm and an encryption algorithm; member management data, account management data, member data for homepage display, purchasing merchant, planting, cultivation producer information registration data, futures market API, forward market information real-time statistical data, forward purchasing, selling intention data, data for supply and demand matching message pushing, transaction management data and forward contract data of cultivated products are stored into block data and/or SQL relational databases according to needs;
wherein the member management data comprises member registration data and member login data; the account management data comprises account credit standing certification data and account identity authentication data; the long-term market information real-time statistical data comprises real-time statistical data of long-term contract yield of varieties, long-term average price and trend real-time statistical data; the transaction management data comprises order management data, payment management data and credit evaluation management data; the data layer also comprises a variety reference information API and a database.
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| CN113469830A (en) * | 2021-06-29 | 2021-10-01 | 浙江数秦科技有限公司 | Agricultural product bidding trading system based on block chain and growth model |
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