CN114386995A - Thing networking property right asset traceability system based on block chain - Google Patents
Thing networking property right asset traceability system based on block chain Download PDFInfo
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Abstract
The invention discloses an Internet of things physical property right asset traceability system based on a block chain, which comprises an asset entry module, an asset evaluation module and a buyer module, the asset entry module is electrically connected with the asset evaluation module, the asset entry module is connected with the buyer module through a network, the asset entry module is used for entering the information of the assets to be sold, the asset evaluation module is used for evaluating the value of the assets to be sold, the buyer module is used for buyer to perform relevant operation, the asset entry module comprises a login module, a camera shooting unit, a positioning module and a data storage module, the login module is used for the seller to register and login the system, the login module comprises a face input module and an image input module, the face input module is used for collecting and inputting face image information.
Description
Technical Field
The invention relates to the technical field of thing internet real property right asset tracing, in particular to a thing internet real property right asset tracing system based on a block chain.
Background
Digital economy is rapidly rising and more traditional industries are transforming to digital. Conventionally, manufacturing industries typified by factory processing or agriculture typified by farm planting have been produced from physical objects. The value of the physical article is easy to measure in the process of circulation and sale, namely the value of the article refers to the use value of the article and can be agreed in a trading contract.
The orchard serves as an important component of fixed assets, the use value of orchard products (fruits) is easy to change, namely annual products can be directly sold to obtain benefits, but the fixed assets (plants) are generally immobile and non-circulating within the growth period, and the common mode of changing the value of the fixed assets in the whole life period is to evaluate the value-added value of the fixed assets in the current period and then to change the current period for sale. The buyer can not track the change process of the fixed asset in the whole life cycle, and the mode of buying the fixed asset at the discount price in the present period is equivalent to opening a blind box. The digital certificate can only prove that the transaction exists and can be traced from the source, and the real-name identity of the digital certificate creator and whether the digital chaining of the assets is authorized by the creator himself or herself are difficult to prove. The block chain system lacks an effective supervision means, when an illegal user utilizes the block chain to implement illegal behaviors, the system cannot trace the illegal user, once the illegal behaviors are successful, illegal transactions cannot be withdrawn due to the difficulty in tampering of the block chain, and irreversible economic loss is caused to the user. Therefore, it is necessary to design a block chain-based internet of things physical property right asset traceability system capable of performing fair transaction and intelligently querying transaction information.
Disclosure of Invention
The invention aims to provide a block chain-based Internet of things physical property right asset traceability system to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an Internet of things physical property right asset traceability system based on a block chain comprises an asset entry module, an asset evaluation module and a buyer module, wherein the asset entry module is electrically connected with the asset evaluation module and is connected with the buyer module through a network, the asset entry module is used for entering asset information to be sold, the asset evaluation module is used for evaluating the value of the sold asset, and the buyer module is used for carrying out related operations on a buyer;
the asset inputting module comprises a logging module, a camera shooting unit, a positioning module and a data storage module, the logging module is used for registering and logging in the system by a seller, the logging module comprises a face inputting module and an image inputting module, the face inputting module is used for collecting and inputting face image information, the image inputting module is used for inputting and extracting image information of related articles, the camera shooting unit is used for shooting and shooting the assets to be sold, the positioning module is used for positioning and tracking position information, and the data storage module is used for storing and receiving the data information.
According to the technical scheme, the asset evaluation module comprises an identification module, a profile scanning module, an evaluation module, an illumination module, a result module, a price module, a calculation and analysis module and a mode switching module, the contour scanning module is electrically connected with the evaluation module, the illumination module is electrically connected with the calculation and analysis module, the price module is electrically connected with the calculation and analysis module, the identification module is used for identifying the related information, the contour scanning module is used for scanning the contour of the image information, the evaluation module is used for evaluating the data information, the illumination module is used for collecting illumination information, the result module is used for analyzing and judging data information, the price module is used for carrying out statistical analysis on the prices of fruits on the market, the calculation and analysis module is used for carrying out analysis and calculation on data information, and the mode switching module is used for switching the evaluation and recognition mode according to the determined fruit tree types.
According to the technical scheme, the buyer module comprises a source tracing module and an inquiry module, the source tracing module is electrically connected with the inquiry module, the source tracing module is used for verifying and tracking the commodity information, and the inquiry module is used for inquiring the data information.
According to the technical scheme, the operation method of the Internet of things physical property right asset traceability system based on the block chain mainly comprises the following steps:
step S1: the orchard grower prepares to sell the orchard in his hand;
step S2: registering and logging in a physical property asset traceability system by a grower, and acquiring and logging in orchard information through an asset logging-in module;
step S3: the asset evaluation module evaluates the orchard value according to the collected and input result;
step S4: buyers who have buying intentions in the orchard can trace the source of the orchard information.
According to the above technical solution, the step S2 further includes the following steps:
step S21: the method comprises the following steps that a grower opens a system to enter a system login interface, finishes acquisition and input of facial information through a face input module, and finishes successful login of a registered system;
step S22: after the system is successfully logged in, the grower scans and inputs the orchard land ownership certificate information to be sold into the system through the image input module, and simultaneously starts the positioning module through an electric signal;
step S23: the positioning module positions the plant user in real time through network signals, matches the positioning result with the scanning and inputting result of the image inputting module, and starts the camera shooting unit after matching is successful;
step S24: a grower collects and shoots the fruit tree condition in the orchard to be sold through the camera shooting unit, when a fruit tree nameplate faces the camera shooting device, the collection and shooting of the fruit tree image can be completed, the fruit tree nameplate information is extracted to determine the type of the fruit tree, and the data is stored in the data storage module;
step S25: and when the matching of the positioning result and the scanning and inputting result of the image inputting module is unsuccessful, the camera shooting unit is not started.
According to the above technical solution, the step S3 further includes the following steps:
step S31: determining the type of a fruit tree in the orchard and finishing image acquisition and shooting of the fruit tree, switching the system to an evaluation identification mode for the fruit tree of the type through a switching module, and starting an identification module;
step S32: the identification module identifies and measures the fruit tree bottom trunks planted in the same batch in the orchard according to the fruit tree planting time information to obtain that the average diameter length of the fruit tree bottom trunks planted in the same batch is
And the number of the fruit trees planted in the same batch is N, and an evaluation module is started through an electric signal to compare and analyze the identification measurement result with a diameter length threshold value H according to the type of the fruit trees;
step S33: when in use
When the fruit trees are planted in the same batch in the orchard, the evaluation module evaluates and judges that the fruit trees are in the seedling stage, and when the fruit trees are planted in the same batch in the orchard
When the fruit trees are planted in the same batch in the orchard, the evaluation module evaluates and judges that the fruit trees are in the growth period
Then, the evaluation module evaluates and judges that the fruit trees planted in the same batch in the orchard are in the mature period;
step S34: the contour scanning module is used for further scanning the contours of crown crowns of fruit trees planted in the same batch in the orchard;
step S35: the result module is used for obtaining the fruit tree crown outline scanning result through the electric signal and projecting the result to the fitted area measuring meter to measure the area contained in the fruit tree crown outline, so that the same batch planting in the orchard is obtainedThe fruit tree crown contour of the seed comprises the average area of
Step S36: and after the analysis of the crown of the fruit tree is completed, starting the illumination module through the electric signal.
According to the above technical solution, the step S36 further includes the following steps:
step S361: the illumination module acquires the illumination condition of the meteorological platform at the place of the orchard through network signals to obtain the local average illumination duration of the fruit tree in the time period of growth, flowering and fruiting every year
Step S362: the price module acquires the selling price of the fruits on the market through network signals, so that the selling price of the fruits is X, and the price of the plants in the same batch is Y;
step S363: the calculation analysis module calculates and analyzes the data information to obtain the hidden value J of the fruit trees planted in the same batch in the orchard sold by the grower1。
According to the technical scheme, the fruit tree hidden value J planted in the same batch in the orchard in the step S3631The calculation formula of (a) is as follows:
wherein, J1The hidden value of fruit trees planted in the same batch in the orchard is shown, X is the selling price of the fruits in the market,
the average illumination time length of the orchard location in the time period of fruit tree growth, flowering and fruiting is determined,
the area of the crown outline of the fruit trees planted in the same batch in the orchardAnd K is a value conversion coefficient,
the diameter average length of the trunk at the bottom of the fruit trees planted in the same batch in the orchard is H, the diameter length threshold value is H, N is the number of the fruit trees planted in the same batch, and Y is the market price of the plants in the same batch;
the formula for calculating the orchard hidden value J to be sold by the grower is as follows:
J＝J1+J2+J3+...
wherein J is the orchard hiding value, J1、J2、J3.., the fruit trees planted in different batches in the orchard have hidden values respectively.
According to the above technical solution, the step S4 includes the following steps: after the buyer has purchase intention to the orchard, the information of the orchard can be verified and tracked through the source tracing module and the query module.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the asset entry module, the asset evaluation module and the buyer module are arranged, so that the orchard to be sold can be ensured to be owned by the current registered and logged-in grower of the system, and a traceability query basis is provided for the buyers of the subsequent orchard, thereby preventing fraud and illegal behaviors and ensuring the accuracy and justice of transactions; the position information of the orchard and the position information of the orchard to be sold can be ensured to be consistent, the accuracy of inquiring the orchard information by an orchard buyer through the system is ensured, meanwhile, accurate evaluation information is provided for the subsequent system to evaluate the orchard value, the transaction is public and transparent, and the buyer can trace the source of the orchard information through the system.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an Internet of things physical property right asset traceability system based on a block chain comprises an asset entry module, an asset evaluation module and a buyer module, wherein the asset entry module is electrically connected with the asset evaluation module and is connected with the buyer module through a network;
the asset entry module comprises a login module, a camera shooting unit, a positioning module and a data storage module, the login module is used for registering and logging in the system by a seller, the login module comprises a face entry module and an image entry module, the face entry module is used for collecting and entering face image information, the image entry module is used for entering and extracting image information of related articles, the camera shooting unit is used for shooting and shooting the assets to be sold, the positioning module is used for positioning and tracking position information, and the data storage module is used for storing and receiving the data information.
The asset evaluation module comprises an identification module, a profile scanning module, an evaluation module, an illumination module, a result module, a price module, a calculation analysis module and a mode switching module, the contour scanning module is electrically connected with the evaluation module, the illumination module is electrically connected with the calculation and analysis module, the price module is electrically connected with the calculation and analysis module, the identification module is used for identifying the related information, the contour scanning module is used for scanning the contour of the image information, the evaluation module is used for evaluating the data information, the illumination module is used for collecting illumination information, the result module is used for analyzing and judging data information, the price module is used for carrying out statistical analysis on the prices of fruits on the market, the calculation and analysis module is used for carrying out analysis and calculation on data information, and the mode switching module is used for switching the evaluation and recognition mode according to the determined fruit tree types.
The buyer module comprises a source tracing module and an inquiry module, the source tracing module is electrically connected with the inquiry module, the source tracing module is used for verifying and tracking the selling product information, and the inquiry module is used for inquiring the data information.
An operation method of an Internet of things physical property right asset traceability system based on a block chain mainly comprises the following steps:
step S1: the orchard grower prepares to sell the orchard in his hand;
step S2: registering and logging in a physical property asset traceability system by a grower, and acquiring and logging in orchard information through an asset logging-in module;
step S3: the asset evaluation module evaluates the orchard value according to the collected and input result;
step S4: buyers who have buying intentions in the orchard can trace the source of the orchard information.
Step S2 further includes the steps of:
step S21: the method comprises the following steps that a grower opens a system to enter a system login interface, finishes acquisition and input of facial information through a face input module, and finishes successful login of a registered system;
step S22: after the system is successfully logged in, the grower scans and inputs the orchard land ownership certificate information to be sold into the system through the image input module, and simultaneously starts the positioning module through an electric signal; scanning and inputting the orchard land ownership certificate information, ensuring that the orchard is owned by the current registered grower of the system, providing a traceability query basis for subsequent orchard buyers, preventing fraud and law violation behaviors, and ensuring the accuracy and fairness of transactions;
step S23: the positioning module positions the plant user in real time through network signals, matches the positioning result with the scanning and inputting result of the image inputting module, and starts the camera shooting unit after matching is successful; starting the camera shooting unit when the matching is successful, ensuring that the orchard position information collected and shot by the camera shooting unit is consistent with the orchard position information to be sold, ensuring the accuracy of orchard information inquiry by an orchard buyer through the system, and simultaneously providing accurate evaluation information for the subsequent system for orchard value evaluation;
step S24: a grower collects and shoots the fruit tree condition in the orchard to be sold through the camera shooting unit, when a fruit tree nameplate faces the camera shooting device, the collection and shooting of the fruit tree image can be completed, the fruit tree nameplate information is extracted to determine the type of the fruit tree, and the data is stored in the data storage module; the fruit tree nameplate is provided with fruit tree type information, planting time information and the number of each fruit tree, the fruit tree type can be determined, and simultaneously, image acquisition and shooting can be carried out on the fruit trees according to the number of the fruit trees on the nameplate, so that the condition of multi-shot or missed shooting is prevented, and the image acquisition and shooting of the fruit trees can be smoothly finished;
step S25: and when the matching of the positioning result and the scanning and inputting result of the image inputting module is unsuccessful, the camera shooting unit is not started.
Step S3 further includes the steps of:
step S31: determining the type of a fruit tree in the orchard and finishing image acquisition and shooting of the fruit tree, switching the system to an evaluation identification mode for the fruit tree of the type through a switching module, and starting an identification module; the system comprises various fruit tree evaluation and identification standards, and evaluation and identification modes can be intelligently switched according to the determined fruit tree types;
step S32: the identification module identifies and measures the fruit tree bottom trunks planted in the same batch in the orchard according to the fruit tree planting time information to obtain that the average diameter length of the fruit tree bottom trunks planted in the same batch is
And the number of the fruit trees planted in the same batch is N, and an evaluation module is started through an electric signal to compare and analyze the identification measurement result with a diameter length threshold value H according to the type of the fruit trees; the fruit trees are divided into different batches for respective treatment according to different planting time because the planting time of the fruit trees in the orchard is not all the same;
step S33: when in use
When the fruit trees are planted in the same batch in the orchard, the evaluation module evaluates and judges that the fruit trees are in the seedling stage, and when the fruit trees are planted in the same batch in the orchard
When the fruit trees are planted in the same batch in the orchard, the evaluation module evaluates and judges that the fruit trees are in the growth period
Then, the evaluation module evaluates and judges that the fruit trees planted in the same batch in the orchard are in the mature period; although the planting age of the fruit trees can be obtained from the fruit tree nameplate, in order to prevent a seller from counterfeiting data, the growth cycle of the fruit trees planted in the same batch is further evaluated by identifying the measurement result and comparing the measurement result with the diameter length threshold value, so that the evaluation information is more accurate, and the purchasing experience of the buyer is improved;
step S34: the contour scanning module is used for further scanning the contours of crown crowns of fruit trees planted in the same batch in the orchard;
step S35: the result module is used for obtaining the fruit tree crown outline scanning result through the electric signal and projecting the result to the fitted area measuring meter to measure the area contained in the fruit tree crown outline, so that the average area contained in the fruit tree crown outlines planted in the same batch in the orchard is obtained
The larger the area contained by the crown outline of the fruit tree is, the better the growth state of the fruit tree is, the more vigorous the branches are, and the more fruits can be grown;
step S36: and after the analysis of the crown of the fruit tree is completed, starting the illumination module through the electric signal.
Step S36 further includes the steps of:
step S361: the illumination module acquires the illumination conditions of the meteorological platform at the place of the orchard through network signals to obtain the time periods of fruit tree growth, flowering and fruiting every yearThe local average illumination time length is
The longer the illumination time is, the longer the photosynthesis time of the fruit trees can be, so that more beneficial components can be accumulated, and the water required by the fruit trees for growing the fruits can be irrigated by people, so that the influence of rainfall factors on the fruit trees is not considered;
step S362: the price module acquires the selling price of the fruits on the market through network signals, so that the selling price of the fruits is X, and the price of the plants in the same batch is Y;
step S363: the calculation analysis module calculates and analyzes the data information to obtain the hidden value J of the fruit trees planted in the same batch in the orchard sold by the grower1。
Fruit tree hidden value J planted in the same batch in the orchard in step S3631The calculation formula of (a) is as follows:
wherein, J1The hidden value of fruit trees planted in the same batch in the orchard is shown, X is the selling price of the fruits in the market,
the average illumination time length of the orchard location in the time period of fruit tree growth, flowering and fruiting is determined,
the area of the crown outline of the fruit trees planted in the same batch in the orchard is K is a value conversion coefficient,
the diameter average length of the trunk at the bottom of the fruit trees planted in the same batch in the orchard is H, the diameter length threshold value is H, N is the number of the fruit trees planted in the same batch, and Y is the market price of the plants in the same batch; according to the formula, under the condition that the number of fruit trees planted in the same batch is certain, the fruit trees are positionedDifferent growth periods lead to different fruit numbers of the fruit trees and different influences of other conditions such as illumination duration and the like, so that the hidden value of the fruit trees in the same batch is calculated by adopting different formulas under the condition that the fruit trees are in different growth periods;
the formula for calculating the orchard hidden value J to be sold by the grower is as follows:
J＝J1+J2+J3+...
wherein J is the orchard hiding value, J1、J2、J3.., the fruit trees planted in different batches in the orchard have hidden values respectively.
Step S4 includes the following steps: after the buyer has purchase intention to the orchard, the information of the orchard can be verified and tracked through the source tracing module and the query module.
The first embodiment is as follows: the orchard planter prepares to sell the orchard in his hand, the planter opens the system to enter a system login interface, finishes acquisition and input of facial information through the face input module and finishes successful login of the system, after the system login is successful, the planter scans and inputs information of the orchard land ownership certificate to be sold through the image input module, matches the positioning result with the scanning and input result of the image input module through the positioning module, starts the camera shooting unit after the matching is successful, the planter acquires and shoots the fruit tree condition in the orchard to be sold through the camera shooting unit and extracts the fruit tree nameplate information to determine the fruit tree type as a plant, the data is stored in the data storage module, the system is switched into a plant evaluation and identification mode through the switching module, and the identification module identifies and measures the bottom trunk of the plant planted in the orchard in the same batch according to the plant planting time information, obtaining the average diameter length of the plant bottom trunk planted in the batch
The number N of the plants in the batch is 100, and the plants are started by electric signalsThe evaluation module compares the identification measurement with a diameter length threshold H of 0.15m, since
The evaluation module evaluates and judges that the plants planted in the orchard in the batch are in the growth period; the contour scanning module is used for further scanning the contours of the plant crowns planted in the orchard in the batch; and projecting the result to a fitted area measuring table, and measuring the area contained by the plant crown outline so as to obtain the average area contained by the plant crown outline planted in the orchard in the batch
And the illumination module acquires the illumination condition of the meteorological platform at the place of the orchard through the network signal to obtain the local average illumination duration in the time period of annual plant growth, flowering and fruiting
The price module acquires the selling price of the fruits on the market through network signals, so that the selling price of the fruits is 4 yuan/kg, the price of the batch of plants is 200 yuan/fruit, and the value conversion coefficient K is 20 as the batch of plants are in the growth period, the calculation and analysis module calculates and analyzes according to the data information to obtain the fruit tree hidden value J planted in the batch in the orchard sold by the grower1＝200×100+20(34+11) ═ 21840 yuan, the orchard hidden value J which is 21840 yuan +39807 yuan +65924 yuan which is 126851 yuan and is sold by growers can be obtained after calculation and analysis of the hidden values of the plants planted in different batches; the buyer having buying intention to the fruit garden can trace the source of the information input by the fruit garden through the system.
Example two: the orchard grower prepares to sell the orchard in his hand, opens the system and enters a system login interface, finishes acquisition and input of facial information through the face input module, finishes login of the system after successful registration, and scans orchard land ownership certificate information to be sold through the image input module after the system login is successfulScanning and recording the system, matching the positioning result with the scanning and recording result of the image recording module through the positioning module, starting the camera shooting unit after the matching is successful, enabling a grower to collect and shoot the conditions of fruit trees in the orchard to be sold through the camera shooting unit, extracting the information of the nameplates of the fruit trees to determine the types of the fruit trees as plants, storing the data into the data storage module, switching the system into a plant evaluation and identification mode through the switching module, carrying out identification measurement on the plant bottom trunks planted in the same batch in the orchard through the identification module according to the plant planting time information, and obtaining the average diameter length of the plant bottom trunks planted in the batch
And the number N of the batch of plants is 150, and the evaluation module is started through an electric signal to compare the identification measurement result with the diameter length threshold value H of 0.15m for analysis, because
The evaluation module evaluates and judges that the plants planted in the orchard in the batch are in the mature period; the contour scanning module is used for further scanning the contours of the plant crowns planted in the orchard in the batch; and projecting the result to a fitted area measuring table, and measuring the area contained by the plant crown outline so as to obtain the average area contained by the plant crown outline planted in the orchard in the batch
And the illumination module acquires the illumination condition of the meteorological platform at the place of the orchard through the network signal to obtain the local average illumination duration in the time period of annual plant growth, flowering and fruiting
Price moduleAcquiring the selling price of the fruits on the market through a network signal, so as to obtain the selling price of the fruits as X being 4 yuan/kg and the price of the batch of plants as Y being 1000 yuan/piece, and calculating and analyzing the latent value of the fruit trees planted in the batch of orchards to be sold by the grower according to the data information by the calculation and analysis module as the batch of plants is in the growth period and the value conversion coefficient K being 20
Yuan, calculating and analyzing the plant latent value planted in different batches to obtain the orchard latent value J which is 157920 Yuan and 195680 Yuan 353600 Yuan and is sold by growers; the buyer having buying intention to the fruit garden can trace the source of the information input by the fruit garden through the system.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The utility model provides a thing networking property right asset traceability system based on block chain, includes asset entry module, asset evaluation module and buyer's module, its characterized in that: the asset entry module is electrically connected with the asset evaluation module, the asset entry module is connected with the buyer module through a network, the asset entry module is used for entering asset information to be sold, the asset evaluation module is used for evaluating the value of the sold asset, and the buyer module is used for carrying out related operations by a buyer;
the asset inputting module comprises a logging module, a camera shooting unit, a positioning module and a data storage module, the logging module is used for registering and logging in the system by a seller, the logging module comprises a face inputting module and an image inputting module, the face inputting module is used for collecting and inputting face image information, the image inputting module is used for inputting and extracting image information of related articles, the camera shooting unit is used for shooting and shooting the assets to be sold, the positioning module is used for positioning and tracking position information, and the data storage module is used for storing and receiving the data information.
2. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 1, characterized in that: the asset evaluation module comprises an identification module, a profile scanning module, an evaluation module, an illumination module, a result module, a price module, a calculation analysis module and a mode switching module, the contour scanning module is electrically connected with the evaluation module, the illumination module is electrically connected with the calculation and analysis module, the price module is electrically connected with the calculation and analysis module, the identification module is used for identifying the related information, the contour scanning module is used for scanning the contour of the image information, the evaluation module is used for evaluating the data information, the illumination module is used for collecting illumination information, the result module is used for analyzing and judging data information, the price module is used for carrying out statistical analysis on market prices, the calculation analysis module is used for carrying out analysis calculation on data information, and the mode switching module is used for switching the evaluation recognition mode according to the determined fruit tree types.
3. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 2, characterized in that: the buyer module comprises a source tracing module and an inquiry module, the source tracing module is electrically connected with the inquiry module, the source tracing module is used for verifying and tracking the commodity information, and the inquiry module is used for inquiring the data information.
4. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 3, wherein: the operation method of the Internet of things physical property right asset traceability system based on the block chain mainly comprises the following steps:
step S1: the orchard grower prepares to sell the orchard in his hand;
step S2: registering and logging in a physical property asset traceability system by a grower, and acquiring and logging in orchard information through an asset logging-in module;
step S3: the asset evaluation module evaluates the orchard value according to the collected and input result;
step S4: buyers who have buying intentions in the orchard can trace the source of the orchard information.
5. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 4, wherein: the step S2 further includes the steps of:
step S21: the method comprises the following steps that a grower opens a system to enter a system login interface, finishes acquisition and input of facial information through a face input module, and finishes successful login of a registered system;
step S22: after the system is successfully logged in, the grower scans and inputs the orchard land ownership certificate information to be sold into the system through the image input module, and simultaneously starts the positioning module through an electric signal;
step S23: the positioning module positions the plant user in real time through network signals, matches the positioning result with the scanning and inputting result of the image inputting module, and starts the camera shooting unit after matching is successful;
step S24: a grower collects and shoots the fruit tree condition in the orchard to be sold through the camera shooting unit, when a fruit tree nameplate faces the camera shooting device, the collection and shooting of the fruit tree image can be completed, the fruit tree nameplate information is extracted to determine the type of the fruit tree, and the data is stored in the data storage module;
step S25: and when the matching of the positioning result and the scanning and inputting result of the image inputting module is unsuccessful, the camera shooting unit is not started.
6. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 5, wherein: the step S3 further includes the steps of:
step S31: determining the type of a fruit tree in the orchard and finishing image acquisition and shooting of the fruit tree, switching the system to an evaluation identification mode for the fruit tree of the type through a switching module, and starting an identification module;
step S32: the identification module identifies and measures the fruit tree bottom trunks planted in the same batch in the orchard according to the fruit tree planting time information to obtain that the average diameter length of the fruit tree bottom trunks planted in the same batch is
And the number of the fruit trees planted in the same batch is N, and an evaluation module is started through an electric signal to compare and analyze the identification measurement result with a diameter length threshold value H according to the type of the fruit trees;
step S33: when in use
When the fruit trees are planted in the same batch in the orchard, the evaluation module evaluates and judges that the fruit trees are in the seedling stage, and when the fruit trees are planted in the same batch in the orchard
Then the evaluation module evaluatesJudging whether fruit trees planted in the same batch in the orchard are in the growth period when
Then, the evaluation module evaluates and judges that the fruit trees planted in the same batch in the orchard are in the mature period;
step S34: the contour scanning module is used for further scanning the contours of crown crowns of fruit trees planted in the same batch in the orchard;
step S35: the result module is used for obtaining the fruit tree crown outline scanning result through the electric signal and projecting the result to the fitted area measuring meter to measure the area contained in the fruit tree crown outline, so that the average area contained in the fruit tree crown outlines planted in the same batch in the orchard is obtained
Step S36: and after the analysis of the crown of the fruit tree is completed, starting the illumination module through the electric signal.
7. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 6, wherein: the step S36 further includes the steps of:
step S361: the illumination module acquires the illumination condition of the meteorological platform at the place of the orchard through network signals to obtain the local average illumination duration of the fruit tree in the time period of growth, flowering and fruiting every year
Step S362: the price module acquires the selling price of the fruits on the market through network signals, so that the selling price of the fruits is X, and the price of the plants in the same batch is Y;
step S363: the calculation analysis module calculates and analyzes the data information to obtain the hidden value J of the fruit trees planted in the same batch in the orchard sold by the grower1。
8. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 7, wherein: fruit tree hidden value J planted in the same batch in the orchard in the step S3631The calculation formula of (a) is as follows:
wherein, J1The hidden value of fruit trees planted in the same batch in the orchard is shown, X is the selling price of the fruits in the market,
the average illumination time length of the orchard location in the time period of fruit tree growth, flowering and fruiting is determined,
the area of the crown outline of the fruit trees planted in the same batch in the orchard is K is a value conversion coefficient,
the diameter average length of the trunk at the bottom of the fruit trees planted in the same batch in the orchard is H, the diameter length threshold value is H, N is the number of the fruit trees planted in the same batch, and Y is the market price of the plants in the same batch;
the formula for calculating the orchard hidden value J to be sold by the grower is as follows:
J＝J1+J2+J3+...
wherein J is the orchard hiding value, J1、J2、J3.., the fruit trees planted in different batches in the orchard have hidden values respectively.
9. The Internet of things physical property right asset traceability system based on the block chain as claimed in claim 8, wherein: the step S4 includes the steps of: after the buyer has purchase intention to the orchard, the information of the orchard can be verified and tracked through the source tracing module and the query module.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056069A (en) * | 2016-05-27 | 2016-10-26 | 刘文萍 | Unmanned aerial vehicle image analysis-based forest land resource asset evaluation method and evaluation system |
| CN106485588A (en) * | 2015-08-30 | 2017-03-08 | 初绍军 | Primary agricultural products production information system based on geography information |
| CN109767228A (en) * | 2019-01-16 | 2019-05-17 | 杭州趣链科技有限公司 | A kind of energy transaction in assets system based on block chain |
| US20190366475A1 (en) * | 2018-06-02 | 2019-12-05 | Bruno Scarselli | Asset Identification, Registration, Tracking and Commercialization Apparatuses and Methods |
| CN110827175A (en) * | 2019-10-23 | 2020-02-21 | 深圳市汇融科技有限公司 | Real estate survey system |
| CN111652698A (en) * | 2020-07-17 | 2020-09-11 | 江苏荣泽信息科技股份有限公司 | Intelligent house renting system based on block chain |
| CN113706015A (en) * | 2021-08-27 | 2021-11-26 | 孙树芹 | Data collection system for enterprise asset arrangement based on block chain |
-
2022
- 2022-01-24 CN CN202210077150.7A patent/CN114386995A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106485588A (en) * | 2015-08-30 | 2017-03-08 | 初绍军 | Primary agricultural products production information system based on geography information |
| CN106056069A (en) * | 2016-05-27 | 2016-10-26 | 刘文萍 | Unmanned aerial vehicle image analysis-based forest land resource asset evaluation method and evaluation system |
| US20190366475A1 (en) * | 2018-06-02 | 2019-12-05 | Bruno Scarselli | Asset Identification, Registration, Tracking and Commercialization Apparatuses and Methods |
| CN109767228A (en) * | 2019-01-16 | 2019-05-17 | 杭州趣链科技有限公司 | A kind of energy transaction in assets system based on block chain |
| CN110827175A (en) * | 2019-10-23 | 2020-02-21 | 深圳市汇融科技有限公司 | Real estate survey system |
| CN111652698A (en) * | 2020-07-17 | 2020-09-11 | 江苏荣泽信息科技股份有限公司 | Intelligent house renting system based on block chain |
| CN113706015A (en) * | 2021-08-27 | 2021-11-26 | 孙树芹 | Data collection system for enterprise asset arrangement based on block chain |
Non-Patent Citations (2)
| Title |
|---|
| 孙国梁: "果树资产评估方法研究", 中国优秀硕士学位论文全文数据库 经济与管理科学辑, 15 July 2011 (2011-07-15), pages 149 - 114 * |
| 魏耀锋: "宁夏多功能林业和生态功能分区及评价", 31 December 2021, 阳光出版社, pages: 191 - 192 * |
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