CN116502962B - Intelligent management method and system for plant germplasm resources - Google Patents

Intelligent management method and system for plant germplasm resources Download PDF

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CN116502962B
CN116502962B CN202310778613.7A CN202310778613A CN116502962B CN 116502962 B CN116502962 B CN 116502962B CN 202310778613 A CN202310778613 A CN 202310778613A CN 116502962 B CN116502962 B CN 116502962B
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CN116502962A (en
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王子鹏
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Lepan Agricultural Technology Beijing Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention provides a plant germplasm resource intelligent management method and system. The intelligent management method for the plant germplasm resources comprises the following steps: performing germplasm resource classification according to germplasm resource information input by an input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to a blockchain network; after the blockchain network receives the plurality of germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories, the received germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories are shared to each blockchain node; and a germplasm monitoring node in the blockchain network predicts germplasm change conditions corresponding to the germplasm resources in real time, and sends germplasm ex-warehouse replacement early warning to the input terminal according to the germplasm change conditions. The intelligent management system for plant germplasm resources comprises modules corresponding to the steps of the method.

Description

Intelligent management method and system for plant germplasm resources
Technical Field
The invention discloses an intelligent management method and system for plant germplasm resources, and belongs to the technical field of germplasm resource management.
Background
Plant germplasm resources refer to genetic resources of plant species, populations and interspecific crossing populations that have potential economic, scientific, cultural and social value. Plant germplasm resources are facing serious threats and losses due to population growth, climate change, environmental pollution, and the like.
In order to protect and reasonably utilize plant germplasm resources, corresponding plant germplasm resource management institutions are established in many countries and regions, but management modes and means need to be further perfected. Traditional plant germplasm resource management modes generally adopt manual recording, marking, storing and maintaining, and large-scale and efficient management and utilization are difficult to realize.
In recent years, with the development of information technology and intelligent technology, some new plant germplasm resource management methods and systems are widely used. Among them, plant germplasm resource intelligent management methods and systems based on cloud computing, big data, artificial intelligence and other technologies are receiving more and more attention and research. The method and the system can realize the digital, informationized and intelligent management of plant germplasm resources, and provide more effective means and tools for protecting and utilizing the plant germplasm resources.
Some technical problems exist in intelligent management of plant germplasm resources, such as:
data security and privacy protection issues: confidentiality and privacy of plant germplasm resource data are important issues. For important germplasm resources, measures need to be taken to ensure the safety and privacy of data of the germplasm resources.
Data standardization and interoperability issues: plant germplasm resource management involves data in multiple aspects, interoperability and standardization between data of different sources, different formats and different semantics is a key issue.
Disclosure of Invention
Aiming at the problems, the invention can realize the digital, informationized and intelligent management of plant germplasm resources, and overcomes the defects of the traditional management mode, and the adopted technical scheme is as follows:
an intelligent management method for plant germplasm resources, comprising the following steps:
performing germplasm resource classification according to germplasm resource information input by an input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to a blockchain network;
After the blockchain network receives the plurality of germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories, the received germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories are shared to each blockchain node; the system comprises a blockchain node, a system management node and a system management node, wherein the blockchain node comprises a germplasm monitoring node and a germplasm information storage node, and the germplasm monitoring node corresponds to an input terminal one by one;
and a germplasm monitoring node in the blockchain network predicts germplasm change conditions corresponding to the germplasm resources in real time, and sends germplasm ex-warehouse replacement early warning to the input terminal according to the germplasm change conditions.
Further, the method includes the steps of classifying germplasm resources according to germplasm resource information input by an input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to a blockchain network, and comprises the following steps:
extracting germplasm resource information of plants input by the input terminal, obtaining plant classification groups corresponding to the germplasm resource information, and carrying out first classification according to the plant classification groups to obtain a plurality of first classification sets; wherein the plant taxonomic group comprises a fungus algae plant, a fern plant, a gymnosperm plant, an angiosperm plant and the like;
Extracting application information of each plant in the first classification set to obtain application information of each plant in the first classification set, and performing second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set; wherein the usage information comprises food crops, beverage crops, medicinal plants, ornamental plants, industrial raw material plants and the like;
extracting biological characteristic information of each plant in each second classification set to obtain biological characteristic information of each plant in each second classification set, and classifying for the third time according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set; wherein the biological characteristic information comprises drought-tolerant plants, cold-tolerant plants, saline-alkali-tolerant plants, strong-adaptability plants and the like;
extracting genetic type information of each plant in each third classification set to obtain genetic type information of each plant in each third classification set, and performing fourth classification according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set. Wherein the genetic type information includes autosomal genetic plants, haploid genetic plants, recombinant genetic plants, and the like.
Further, after the blockchain network receives the plurality of germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories, the received plurality of germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories are shared to each blockchain node, which comprises:
the input terminal uploads the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to a germplasm monitoring node of the blockchain network corresponding to the input terminal;
after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage nodes corresponding to the germplasm monitoring nodes.
Further, after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring node shares the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage node corresponding to the germplasm monitoring node, including:
After receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring node shares the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category onto all germplasm monitoring nodes in a blockchain network, and simultaneously triggers the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node;
determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes;
after each germplasm monitoring node distributes germplasm information storage nodes, the germplasm monitoring nodes distribute germplasm resource categories and germplasm resource information corresponding to the germplasm information storage nodes corresponding to the germplasm monitoring nodes;
the number of the shared nodes corresponding to each germplasm monitoring node is obtained through the following formula:
wherein,M n-2 representing the number of shared nodes of the remaining n-2 germplasm monitoring nodes except for the two germplasm monitoring nodes with the minimum maximum germplasm information processing number at the same time; int () represents rounding up; NRepresenting the total number of all germplasm information storage nodes; n represents the number of germplasm monitoring nodes;W maxi represent the firstiMaximum germplasm information processing quantity of each germplasm monitoring node at the same time;W mini representation ofiThe number of germplasm resource information that the germplasm monitoring node needs to process at least;λ 1 representing the average calculation complexity coefficient of each germplasm qualification information in the processing process of the germplasm monitoring node;λ 2 represents the specific gravity coefficient of performance of the germplasm monitoring node,λ 2 the value range of (1) is (0, 1)]；C p An average data amount representing germplasm resource information subjected to information storage sharing processing;C x the processing data of the germplasm resource information corresponding to the germplasm monitoring node with the maximum processing data quantity of the germplasm resource information at the same moment in all germplasm monitoring nodes is represented;M 1 andM 2 respectively representing the number of shared nodes corresponding to two germplasm monitoring nodes with the minimum maximum germplasm information processing number;W max1 andW max2 respectively representing the maximum germplasm information processing quantity of two germplasm monitoring nodes with the minimum maximum germplasm information processing quantity at the same moment.
Further, the germplasm monitoring node in the blockchain network predicts germplasm change conditions corresponding to the germplasm resources in real time, and sends germplasm change early warning to the input terminal according to the germplasm change conditions, including:
The germplasm monitoring node extracts water content information, germination vigor and seed vigor contained in the germplasm resource information after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category;
the germplasm monitoring node combines the germplasm resource category and the corresponding water content information, germination potential and seed vitality contained in the germplasm resource information to acquire germplasm quality evaluation parameters at fixed time; wherein the germplasm quality evaluation parameter is obtained by the following formula:
wherein,Qrepresenting germplasm quality evaluation parameters;Q e1 andQ e2 respectively representing a first quality evaluation parameter component and a second quality evaluation parameter component;Q 1 、Q 2 、Q 3 、Q 4 andQ 5 respectively representing a preset first weight value, a preset second weight value, a preset third weight value, a preset fourth weight value and a preset fifth weight value;E 01 representing a first duty ratio coefficient, wherein the value range is 0.64-0.78;E 02 representing a second duty ratio coefficient, wherein the value range is 0.22-0.36;m w represents the wet weight of the seed;m d representing the dry weight of the seed;C zi represents the germplasm quality experiment process, the firstiNumber of germinated seeds per day;T i represent the firstiA day value corresponding to a day;Crepresenting the total number of seeds selected in the germplasm quality experiment process;ktotal days of germplasm quality experiment are represented; R 2 The survival rate of germinated seeds after the growth environment is regulated in the germplasm quality experiment process is shown;R 1 representing the survival rate of germinated seeds before the growth environment is regulated in the quality experiment process;L 2 representing the growth rate of the germinated seeds after the growth environment is regulated in the germplasm quality experiment process;L 1 representation of in-process biomass quality experimentsThe growth rate of the buds of the germinated seeds before the long-term environment adjustment;Grepresenting a germplasm purity parameter;Windicating a corresponding temperature value when the corresponding ambient temperature of the current seed storage exceeds a preset standard temperature range;W 0 representing the ambient temperature corresponding to the previous seed store in a standard temperature range of the seed storeWThe nearest range boundary value;T w indicating the current ambient temperatureWA duration of time;Sindicating a corresponding humidity value when the corresponding ambient humidity of the current seed storage exceeds a preset standard humidity range;S 0 representing the ambient humidity corresponding to the previous seed store in the standard humidity range of the seed storeSThe nearest range boundary value;T s indicating the current ambient humiditySA duration of time;T 0 representing a preset time reference value, wherein the time reference value is determined according to the cleanliness deterioration characteristics of different seeds; G 0 Indicating the corresponding cleanliness value when the seeds are stored in a warehouse;
and when the germplasm quality evaluation parameter is lower than a preset parameter threshold, the germplasm monitoring node sends germplasm ex-warehouse replacement early warning to the input terminal.
An intelligent management system for plant germplasm resources, the intelligent management system for plant germplasm resources comprising:
the input classification module is used for classifying the germplasm resources according to germplasm resource information input by the input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to the blockchain network;
the sharing module is used for sharing the received multiple germplasm resource categories and the germplasm resource information corresponding to the multiple germplasm resource categories to each blockchain node after the blockchain network receives the multiple germplasm resource categories and the germplasm resource information corresponding to the multiple germplasm resource categories; the system comprises a blockchain node, a system management node and a system management node, wherein the blockchain node comprises a germplasm monitoring node and a germplasm information storage node, and the germplasm monitoring node corresponds to an input terminal one by one;
and the early warning module is used for predicting the germplasm change condition corresponding to the germplasm resource in real time by a germplasm monitoring node in the blockchain network and sending germplasm ex-warehouse replacement early warning to the input terminal according to the germplasm change condition.
Further, the input classification module includes:
the first classification module is used for extracting germplasm resource information of plants input by the input terminal, obtaining plant classification groups corresponding to the germplasm resource information, and carrying out first classification according to the plant classification groups to obtain a plurality of first classification sets; wherein the plant taxonomic group comprises a fungus algae plant, a fern plant, a gymnosperm plant, an angiosperm plant and the like;
the second classification module is used for extracting application information of each plant in the first classification set, obtaining application information of each plant in the first classification set, and carrying out second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set; wherein the usage information comprises food crops, beverage crops, medicinal plants, ornamental plants, industrial raw material plants and the like;
the third classification module is used for extracting biological characteristic information of each plant in each second classification set to obtain biological characteristic information of each plant in each second classification set, and performing third classification according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set; wherein the biological characteristic information comprises drought-tolerant plants, cold-tolerant plants, saline-alkali-tolerant plants, strong-adaptability plants and the like;
The fourth classification module is used for extracting genetic type information of each plant in each third classification set, obtaining genetic type information of each plant in each third classification set, and carrying out fourth classification according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set. Wherein the genetic type information includes autosomal genetic plants, haploid genetic plants, recombinant genetic plants, and the like.
Further, the sharing module includes:
the uploading module is used for uploading the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to a germplasm monitoring node of the blockchain network corresponding to the input terminal by the input terminal;
and the sharing control module is used for sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes after the germplasm monitoring nodes receive the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm monitoring nodes to the germplasm information storage nodes corresponding to the germplasm monitoring nodes.
Further, the sharing control module includes:
The first sharing module is used for sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to all germplasm monitoring nodes in the blockchain network after the germplasm monitoring nodes receive the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, and triggering the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node;
the node distribution module is used for determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of the germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes;
the second sharing module is used for distributing germplasm resource categories and germplasm resource information corresponding to the germplasm monitoring nodes to the germplasm information storage nodes after each germplasm monitoring node distributes the germplasm information storage nodes;
the number of the shared nodes corresponding to each germplasm monitoring node is obtained through the following formula:
wherein,M n-2 representing the number of shared nodes of the remaining n-2 germplasm monitoring nodes except for the two germplasm monitoring nodes with the minimum maximum germplasm information processing number at the same time; int () represents rounding up; NRepresenting the total number of all germplasm information storage nodes; n represents the number of germplasm monitoring nodes;W maxi represent the firstiMaximum germplasm information processing quantity of each germplasm monitoring node at the same time;W mini representation ofiThe number of germplasm resource information that the germplasm monitoring node needs to process at least;λ 1 representing the average calculation complexity coefficient of each germplasm qualification information in the processing process of the germplasm monitoring node;λ 2 represents the specific gravity coefficient of performance of the germplasm monitoring node,λ 2 the value range of (1) is (0, 1)]；C p An average data amount representing germplasm resource information subjected to information storage sharing processing;C x the processing data of the germplasm resource information corresponding to the germplasm monitoring node with the maximum processing data quantity of the germplasm resource information at the same moment in all germplasm monitoring nodes is represented;M 1 andM 2 respectively representing the number of shared nodes corresponding to two germplasm monitoring nodes with the minimum maximum germplasm information processing number;W max1 andW max2 respectively representing the maximum germplasm information processing quantity of two germplasm monitoring nodes with the minimum maximum germplasm information processing quantity at the same moment.
Further, the early warning module includes:
the information extraction module is used for extracting the water content information, the germination vigor and the seed vigor contained in the germplasm resource information after the germplasm monitoring node receives the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category;
The germplasm quality evaluation module is used for combining the germplasm resource category with the water content information, the germination vigor and the seed vigor contained in the germplasm resource information corresponding to the germplasm resource category by the germplasm monitoring node to acquire germplasm quality evaluation parameters at fixed time; wherein the germplasm quality evaluation parameter is obtained by the following formula:
wherein,Qrepresenting germplasm quality evaluation parameters;Q e1 andQ e2 respectively representing a first quality evaluation parameter component and a second quality evaluation parameter component;Q 1 、Q 2 、Q 3 、Q 4 andQ 5 respectively representing a preset first weight value, a preset second weight value, a preset third weight value, a preset fourth weight value and a preset fifth weight value;E 01 representing a first duty ratio coefficient, wherein the value range is 0.64-0.78;E 02 representing a second duty ratio coefficient, wherein the value range is 0.22-0.36;m w represents the wet weight of the seed;m d representing the dry weight of the seed;C zi represents the germplasm quality experiment process, the firstiNumber of germinated seeds per day;T i represent the firstiA day value corresponding to a day;Crepresenting the total number of seeds selected in the germplasm quality experiment process;ktotal days of germplasm quality experiment are represented;R 2 the survival rate of germinated seeds after the growth environment is regulated in the germplasm quality experiment process is shown;R 1 representing the survival rate of germinated seeds before the growth environment is regulated in the quality experiment process; L 2 Representing the growth rate of the germinated seeds after the growth environment is regulated in the germplasm quality experiment process;L 1 representing the growth rate of the germinated seeds before the growth environment is regulated in the germplasm quality experiment process;Grepresenting a germplasm purity parameter;Windicating a corresponding temperature value when the corresponding ambient temperature of the current seed storage exceeds a preset standard temperature range;W 0 representing seed storesAmbient temperature in a standard temperature range corresponding to the pre-seed storageWThe nearest range boundary value;T w indicating the current ambient temperatureWA duration of time;Sindicating a corresponding humidity value when the corresponding ambient humidity of the current seed storage exceeds a preset standard humidity range;S 0 representing the ambient humidity corresponding to the previous seed store in the standard humidity range of the seed storeSThe nearest range boundary value;T s indicating the current ambient humiditySA duration of time;T 0 representing a preset time reference value, wherein the time reference value is determined according to the cleanliness deterioration characteristics of different seeds;G 0 indicating the corresponding cleanliness value when the seeds are stored in a warehouse;
and the germplasm early warning module is used for sending germplasm ex-warehouse replacement early warning to the input terminal by the germplasm monitoring node when the germplasm quality evaluation parameter is lower than a preset parameter threshold value.
The invention has the beneficial effects that:
according to the intelligent management method and system for the plant germplasm resources, disclosed by the invention, the safety and traceability of data are ensured by adopting a block chain technology, and the data of the plant germplasm resources are intelligently processed and analyzed by using an artificial intelligent technology, so that the efficient management and utilization of the germplasm resources are realized. Meanwhile, the intelligent management method and system for the plant germplasm resources can achieve standardization and interoperability of plant germplasm resource data, reduce system construction cost and improve resource management efficiency and reliability.
Drawings
FIG. 1 is a flowchart of a plant germplasm resource intelligent management method according to the present invention;
FIG. 2 is a second flowchart of the intelligent management method of plant germplasm resources according to the present invention;
FIG. 3 is a flowchart III of the intelligent management method of plant germplasm resources according to the invention;
FIG. 4 is a flowchart of a method for intelligently managing plant germplasm resources according to the present invention;
FIG. 5 is a system block diagram of the intelligent management system for plant germplasm resources according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides an intelligent management method for plant germplasm resources, which is shown in a figure 1 and comprises the following steps:
s1, classifying germplasm resources according to germplasm resource information input by an input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to a blockchain network;
s2, after the block chain network receives the plurality of germplasm resource categories and the germplasm resource information corresponding to the plurality of germplasm resource categories, the received plurality of germplasm resource categories and the germplasm resource information corresponding to the plurality of germplasm resource categories are shared to each block chain node; the system comprises a blockchain node, a system management node and a system management node, wherein the blockchain node comprises a germplasm monitoring node and a germplasm information storage node, and the germplasm monitoring node corresponds to an input terminal one by one;
s3, a germplasm monitoring node in the blockchain network predicts germplasm change conditions corresponding to the germplasm resources in real time, and sends germplasm ex-warehouse replacement early warning to the input terminal according to the germplasm change conditions.
The working principle of the technical scheme is as follows: firstly, the input terminal classifies the germplasm resource information and uploads a plurality of germplasm resource categories and corresponding information to a blockchain network. During uploading, the safe storage and non-falsification of the information are realized through a block chain technology, and the reliability and the safety of the information are ensured. Then, the blockchain network receives a plurality of germplasm resource categories and corresponding information and shares the germplasm resource categories and the corresponding information to each blockchain node. Wherein both the germplasm monitoring node and the germplasm information storing node can receive the information. The germplasm monitoring node predicts the change condition of germplasm resources by monitoring and analyzing the information in real time.
And finally, when the germplasm monitoring node predicts that a certain germplasm resource is likely to change, a germplasm ex-warehouse replacement early warning is sent to a corresponding input terminal. The early warning can help germplasm resource management personnel to take measures in time, and loss or waste of germplasm resources is avoided. Meanwhile, the germ plasm information storage node also stores the prediction result on the blockchain, so that the reliability and traceability of the prediction result are ensured.
The technical scheme has the effects that: according to the intelligent management method for the plant germplasm resources, the safety and traceability of data are guaranteed through the adoption of the blockchain technology, the intelligent processing and analysis are conducted on the data of the plant germplasm resources through the artificial intelligent technology, and efficient management and utilization of the germplasm resources are achieved. Meanwhile, the intelligent management method for the plant germplasm resources can achieve standardization and interoperability of plant germplasm resource data, reduce system construction cost and improve resource management efficiency and reliability. In addition, the technical scheme provided by the embodiment realizes the intelligent processing and management of the germplasm resource information by combining the block chain and the artificial intelligence, so that the efficiency and the reliability of germplasm resource management can be improved, and the resource waste and the resource loss can be reduced.
In one embodiment of the present invention, as shown in fig. 2, performing germplasm resource classification according to germplasm resource information input by an input terminal, obtaining a plurality of germplasm resource categories including germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to a blockchain network, including:
s101, extracting germplasm resource information of plants input by the input terminal, obtaining plant classification groups corresponding to the germplasm resource information, and carrying out first classification according to the plant classification groups to obtain a plurality of first classification sets; wherein the plant taxonomic group comprises a fungus algae plant, a fern plant, a gymnosperm plant, an angiosperm plant and the like;
s102, extracting application information of each plant in the first classification set, obtaining application information of each plant in the first classification set, and performing second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set; wherein the usage information comprises food crops, beverage crops, medicinal plants, ornamental plants, industrial raw material plants and the like;
s103, extracting biological characteristic information of each plant in each second classification set to obtain biological characteristic information of each plant in each second classification set, and performing third classification according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set; wherein the biological characteristic information comprises drought-tolerant plants, cold-tolerant plants, saline-alkali-tolerant plants, strong-adaptability plants and the like;
S104, extracting genetic type information of each plant in each third classification set to obtain genetic type information of each plant in each third classification set, and classifying for the fourth time according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set. Wherein the genetic type information includes autosomal genetic plants, haploid genetic plants, recombinant genetic plants, and the like.
The working principle of the technical scheme is as follows: by extracting and classifying the germplasm resource information, the use information, the biological characteristic information and the genetic type information of the plants, the plants are classified for a plurality of times so as to better manage and utilize the plant resources. Specifically, the first classification is performed by extracting germplasm resource information of plants input by an input terminal, and obtaining corresponding plant classification groups such as a diatom plant, a fern plant, a gymnosperm plant, a angiosperm plant and the like, so as to obtain a plurality of first classification sets. And extracting application information of each plant in the first classification set, such as edible crops, beverage crops, medicinal plants, ornamental plants, industrial raw material plants and the like, and performing second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set. And extracting biological characteristic information of each plant in each second classification set, such as drought-tolerant plants, cold-tolerant plants, saline-alkali tolerant plants, strong-adaptability plants and the like, and performing third classification according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set. Extracting genetic type information, such as autosomal genetic plants, haploid genetic plants, recombinant genetic plants and the like, of each plant in each third classification set, and classifying for the fourth time according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set.
The technical scheme has the effects that: first, improve plant classification precision: according to the technical scheme provided by the embodiment, the multiple classification method is adopted, so that plants can be classified more finely, and the classification accuracy and precision are improved. Secondly, the plant resource utilization efficiency is improved: by extracting and classifying the germplasm resource information, the application information, the biological characteristic information and the genetic type information of the plants, the plant resources can be better managed and utilized, and the utilization efficiency of the plant resources is improved. Thirdly, convenient plant resource management: plant resources can be managed more conveniently by classifying plants, and the management, protection and utilization of the plant resources are facilitated. Fourth, improve the plant resource and protect the effect: by classifying and managing the plants, plant resources can be better protected, over exploitation and over utilization are avoided, and the ecological environment is protected. Fifth, automated information processing: according to the technical scheme provided by the embodiment, an automatic information extraction and classification method is adopted, so that the manual processing time and workload can be greatly reduced, and the information processing efficiency is improved.
In one embodiment of the present invention, as shown in fig. 3, after the blockchain network receives the plurality of germplasm resource categories and germplasm resource information corresponding to the plurality of germplasm resource categories, the blockchain network shares the received plurality of germplasm resource categories and germplasm resource information corresponding to the plurality of germplasm resource categories to each blockchain node, including:
S201, uploading germplasm resource categories and germplasm resource information corresponding to the germplasm resource categories to germplasm monitoring nodes of the blockchain network corresponding to the input terminal by the input terminal;
and S202, after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage nodes corresponding to the germplasm monitoring nodes.
The working principle of the technical scheme is as follows: firstly, the input terminal uploads the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to a germplasm monitoring node of the blockchain network. When a user enters new germplasm resource information, the new germplasm resource information is uploaded to a germplasm monitoring node, and the germplasm monitoring node is responsible for verifying and sharing the germplasm resource information. And then, after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage nodes corresponding to the germplasm monitoring nodes. When one germplasm monitoring node receives new germplasm resource information, the information is shared to other germplasm monitoring nodes and germplasm information storage nodes. Thus, all nodes have the same germplasm resource information, thereby ensuring the consistency and reliability of the information. When sharing information, the nodes encrypt and verify by using a blockchain technology, so that the safety and the integrity of the information are ensured.
The technical scheme has the effects that: first, improve the credibility of germplasm resource information: the blockchain technology can ensure the safety and the integrity of data, so that the higher credibility can be obtained after the information of the plasma resource is uploaded to the blockchain network. Secondly, the sharing efficiency of germplasm resource information is improved: after receiving the uploaded germplasm resource information, the germplasm monitoring node shares the germplasm resource information to other germplasm monitoring nodes and germplasm information storage nodes, so that the information can be shared rapidly. Thirdly, consistency of germplasm resource information is improved: because all nodes have the same germplasm resource information, the consistency of the information can be ensured, and errors and misunderstanding caused by inconsistent information are avoided. Fourth, facilitating the opening and sharing of germplasm resource information: due to the characteristics of the block chain technology, the germplasm resource information is better protected, and meanwhile, the opening and sharing of the germplasm resource information can be promoted, and the research and the utilization of germplasm resources are promoted.
In one embodiment of the present invention, after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring node shares the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage node corresponding to the germplasm monitoring nodes, the germplasm monitoring node comprises:
S2021, after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring node shares the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category onto all germplasm monitoring nodes in a blockchain network, and simultaneously triggers the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node;
s2022, determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes;
s2023, after each germplasm monitoring node distributes germplasm information storage nodes, the germplasm monitoring nodes issue germplasm resource categories and germplasm resource information corresponding to the germplasm information storage nodes corresponding to the germplasm monitoring nodes;
the number of the shared nodes corresponding to each germplasm monitoring node is obtained through the following formula:
wherein,M n-2 representing the two germplasm with the smallest maximum germplasm information processing quantity except the same timeThe number of shared nodes of the remaining n-2 germplasm monitoring nodes outside the monitoring node; int () represents rounding up; NRepresenting the total number of all germplasm information storage nodes; n represents the number of germplasm monitoring nodes;W maxi represent the firstiMaximum germplasm information processing quantity of each germplasm monitoring node at the same time;W mini representation ofiThe number of germplasm resource information that the germplasm monitoring node needs to process at least;λ 1 representing the average calculation complexity coefficient of each germplasm qualification information in the processing process of the germplasm monitoring node;λ 2 represents the specific gravity coefficient of performance of the germplasm monitoring node,λ 2 the value range of (1) is (0, 1)]；C p An average data amount representing germplasm resource information subjected to information storage sharing processing;C x the processing data of the germplasm resource information corresponding to the germplasm monitoring node with the maximum processing data quantity of the germplasm resource information at the same moment in all germplasm monitoring nodes is represented;M 1 andM 2 respectively representing the number of shared nodes corresponding to two germplasm monitoring nodes with the minimum maximum germplasm information processing number;W max1 andW max2 respectively representing the maximum germplasm information processing quantity of two germplasm monitoring nodes with the minimum maximum germplasm information processing quantity at the same moment.
The working principle of the technical scheme is as follows: firstly, after receiving the uploaded germplasm resource category and germplasm resource information corresponding to the germplasm resource category, a germplasm monitoring node shares the information to all germplasm monitoring nodes in a blockchain network, so that other germplasm monitoring nodes can also obtain the information. Meanwhile, the germplasm monitoring node triggers the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node so as to allocate the nodes subsequently.
And then, determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes. Thus, each germplasm monitoring node has a corresponding germplasm information storage node, and germplasm resource information can be stored and managed on the node.
And finally, after each germplasm monitoring node distributes germplasm information storage nodes, the germplasm monitoring node distributes germplasm resource types and germplasm resource information corresponding to the germplasm information storage nodes corresponding to the germplasm monitoring nodes. In this way, this germplasm resource information is stored on the corresponding node and can be obtained by other nodes through sharing. Meanwhile, each node only manages the information distributed by itself, so that the efficiency and the safety of data management can be effectively improved.
The technical scheme has the effects that: firstly, realizing the sharing of germplasm resource information: and the germplasm resource information is shared to other nodes and germplasm information storage nodes through germplasm monitoring nodes in the blockchain network, so that information sharing among a plurality of nodes is realized.
The traceability of germplasm resource information is improved: due to the non-tamper-ability of the blockchain network, the germplasm resource information once recorded on the blockchain cannot be modified or deleted, thereby realizing the traceability of the germplasm resource information. Thirdly, improving the safety of germplasm resource information: by means of the decentralization characteristic of the block chain network, backup and sharing of germplasm resource information among a plurality of nodes are guaranteed, and risks of information loss or tampering are prevented, so that the safety of germplasm resource information is improved. Fourth, the storage redundancy of germplasm information is reduced: by determining the number of the shared nodes and the distribution mode corresponding to each monitoring node, repeated storage of germplasm information can be avoided, and therefore storage redundancy and cost are reduced. Fifth, the sharing efficiency of germplasm information is improved: the germplasm resource information is shared on a plurality of nodes, so that the sharing efficiency can be improved, and any node can acquire the latest germplasm resource information, thereby better protecting and managing germplasm resources. Sixth, the expandability of the system is enhanced: by dynamically adjusting the number of the shared nodes, the system can be rapidly expanded and upgraded so as to adapt to germplasm resource management tasks with different scales and requirements.
Meanwhile, the number of the shared nodes corresponding to each germplasm monitoring node obtained through the technical scheme provided by the embodiment can effectively improve the allocation rationality of germplasm information storage nodes allocated to the germplasm monitoring nodes, so that each germplasm monitoring node can keep optimal data processing and sharing capacity, the sharing speed is improved, and the problems that resources are wasted and the data sharing speed is reduced because the calculation power of the germplasm monitoring nodes cannot be fully utilized due to too few germplasm information storage nodes are prevented. Meanwhile, the problems that the operation load of the germplasm information storage node is increased and the data processing is saturated and the operation stability and the operation efficiency are reduced due to the fact that the germplasm information storage node is too many can be prevented.
In one embodiment of the present invention, as shown in fig. 4, a germplasm monitoring node in the blockchain network predicts germplasm change conditions corresponding to the germplasm resources in real time, and sends germplasm change pre-warning to the input terminal according to the germplasm change conditions, including:
s301, after receiving uploaded germplasm resource categories and germplasm resource information corresponding to the germplasm resource categories, the germplasm monitoring nodes extract water content information, germination vigor and seed vigor contained in the germplasm resource information;
S302, the germplasm monitoring node combines the germplasm resource category and the corresponding water content information, germination potential and seed vitality contained in the germplasm resource information to acquire germplasm quality evaluation parameters at fixed time; wherein the germplasm quality evaluation parameter is obtained by the following formula:
wherein,Qrepresenting germplasm quality evaluation parameters;Q e1 andQ e2 respectively represent a first quality evaluation parameter component and a second quality evaluation parameter componentA quality evaluation parameter component;Q 1 、Q 2 、Q 3 、Q 4 andQ 5 respectively representing a preset first weight value, a preset second weight value, a preset third weight value, a preset fourth weight value and a preset fifth weight value;E 01 representing a first duty ratio coefficient, wherein the value range is 0.64-0.78;E 02 representing a second duty ratio coefficient, wherein the value range is 0.22-0.36;m w represents the wet weight of the seed;m d representing the dry weight of the seed;C zi represents the germplasm quality experiment process, the firstiNumber of germinated seeds per day;T i represent the firstiA day value corresponding to a day;Crepresenting the total number of seeds selected in the germplasm quality experiment process;ktotal days of germplasm quality experiment are represented;R 2 the survival rate of germinated seeds after the growth environment is regulated in the germplasm quality experiment process is shown;R 1 representing the survival rate of germinated seeds before the growth environment is regulated in the quality experiment process; L 2 Representing the growth rate of the germinated seeds after the growth environment is regulated in the germplasm quality experiment process;L 1 representing the growth rate of the germinated seeds before the growth environment is regulated in the germplasm quality experiment process;Grepresenting a germplasm purity parameter;Windicating a corresponding temperature value when the corresponding ambient temperature of the current seed storage exceeds a preset standard temperature range;W 0 representing the ambient temperature corresponding to the previous seed store in a standard temperature range of the seed storeWThe nearest range boundary value;T w indicating the current ambient temperatureWA duration of time;Sindicating a corresponding humidity value when the corresponding ambient humidity of the current seed storage exceeds a preset standard humidity range;S 0 representing the ambient humidity corresponding to the previous seed store in the standard humidity range of the seed storeSThe nearest range boundary value;T s indicating the current ambient humiditySA duration of time;T 0 representing a preset time reference value, and determining the time reference value according to the cleanliness deterioration characteristics of different seeds；G 0 Indicating the corresponding cleanliness value when the seeds are stored in a warehouse;
and S303, when the germplasm quality evaluation parameter is lower than a preset parameter threshold, the germplasm monitoring node sends a germplasm ex-warehouse replacement early warning to the input terminal.
The working principle of the technical scheme is as follows: firstly, a germplasm monitoring node extracts germplasm quality evaluation parameters such as water content information, germination vigor, seed vigor and the like from uploaded germplasm resource information. And the germplasm monitoring node is combined with germplasm resource types and corresponding germplasm quality evaluation parameters to acquire germplasm quality evaluation parameters at fixed time, and analyzes and compares the acquired evaluation parameters so as to evaluate the quality of germplasm resources better. When the germplasm quality evaluation parameter is lower than a preset parameter threshold, the germplasm monitoring node triggers germplasm ex-warehouse replacement early warning and sends warning information to the input terminal so as to replace germplasm resources with quality which does not meet the requirement in time. In the embodiment, the quality and the safety of the germplasm resources can be better ensured by monitoring and evaluating the germplasm resources in real time, and the utilization value and the protection value of the germplasm resources are improved.
The technical scheme has the effects that: according to the technical scheme, parameters such as the water content, the germination vigor and the seed vigor in the germplasm resource information are extracted, the germplasm resource is evaluated and monitored at regular time, abnormal germplasm quality is found in time, and early warning is triggered, so that the quality and the safety of the germplasm resource are guaranteed. By uploading the germplasm resource category and the corresponding information thereof to the germplasm monitoring node of the blockchain network, the sharing and traceability of germplasm resource information are realized, and the management and monitoring of the source, the destination and the service condition of germplasm resources are facilitated. By distributing the germplasm information storage nodes in the block chain network, the distributed storage and backup of germplasm resource information are realized, and the reliability and the safety of germplasm resources are improved. Through the triggering of the germplasm ex-warehouse replacement early warning, cross contamination and quality degradation of germplasm resources can be timely prevented and avoided, and the safety and sustainable utilization of germplasm resources are ensured. Meanwhile, the accuracy of germplasm quality evaluation can be effectively improved through the germplasm quality evaluation parameters. Meanwhile, the objectivity and the accuracy of germplasm quality evaluation are improved, and the influence of subjective factors on an evaluation result is avoided by measuring and calculating various quality parameters, so that the objectivity and the accuracy of the evaluation are improved. The seed quality control strategy is optimized, problems can be found and corresponding measures can be timely taken through measurement and analysis of quality parameters, so that the seed quality control strategy is optimized, and the quality and yield of seeds are improved.
The embodiment of the invention provides an intelligent management system for plant germplasm resources, as shown in fig. 5, comprising:
the input classification module is used for classifying the germplasm resources according to germplasm resource information input by the input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to the blockchain network;
the sharing module is used for sharing the received multiple germplasm resource categories and the germplasm resource information corresponding to the multiple germplasm resource categories to each blockchain node after the blockchain network receives the multiple germplasm resource categories and the germplasm resource information corresponding to the multiple germplasm resource categories; the system comprises a blockchain node, a system management node and a system management node, wherein the blockchain node comprises a germplasm monitoring node and a germplasm information storage node, and the germplasm monitoring node corresponds to an input terminal one by one;
and the early warning module is used for predicting the germplasm change condition corresponding to the germplasm resource in real time by a germplasm monitoring node in the blockchain network and sending germplasm ex-warehouse replacement early warning to the input terminal according to the germplasm change condition.
The working principle of the technical scheme is as follows: firstly, the input terminal classifies the germplasm resource information and uploads a plurality of germplasm resource categories and corresponding information to a blockchain network. During uploading, the safe storage and non-falsification of the information are realized through a block chain technology, and the reliability and the safety of the information are ensured. Then, the blockchain network receives a plurality of germplasm resource categories and corresponding information and shares the germplasm resource categories and the corresponding information to each blockchain node. Wherein both the germplasm monitoring node and the germplasm information storing node can receive the information. The germplasm monitoring node predicts the change condition of germplasm resources by monitoring and analyzing the information in real time.
And finally, when the germplasm monitoring node predicts that a certain germplasm resource is likely to change, a germplasm ex-warehouse replacement early warning is sent to a corresponding input terminal. The early warning can help germplasm resource management personnel to take measures in time, and loss or waste of germplasm resources is avoided. Meanwhile, the germ plasm information storage node also stores the prediction result on the blockchain, so that the reliability and traceability of the prediction result are ensured.
The technical scheme has the effects that: according to the intelligent management method for the plant germplasm resources, the safety and traceability of data are guaranteed through the adoption of the blockchain technology, the intelligent processing and analysis are conducted on the data of the plant germplasm resources through the artificial intelligent technology, and efficient management and utilization of the germplasm resources are achieved. Meanwhile, the intelligent management method for the plant germplasm resources can achieve standardization and interoperability of plant germplasm resource data, reduce system construction cost and improve resource management efficiency and reliability. In addition, the technical scheme provided by the embodiment realizes the intelligent processing and management of the germplasm resource information by combining the block chain and the artificial intelligence, so that the efficiency and the reliability of germplasm resource management can be improved, and the resource waste and the resource loss can be reduced.
In one embodiment of the present invention, the input classification module includes:
the first classification module is used for extracting germplasm resource information of plants input by the input terminal, obtaining plant classification groups corresponding to the germplasm resource information, and carrying out first classification according to the plant classification groups to obtain a plurality of first classification sets; wherein the plant taxonomic group comprises a fungus algae plant, a fern plant, a gymnosperm plant, an angiosperm plant and the like;
the second classification module is used for extracting application information of each plant in the first classification set, obtaining application information of each plant in the first classification set, and carrying out second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set; wherein the usage information comprises food crops, beverage crops, medicinal plants, ornamental plants, industrial raw material plants and the like;
the third classification module is used for extracting biological characteristic information of each plant in each second classification set to obtain biological characteristic information of each plant in each second classification set, and performing third classification according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set; wherein the biological characteristic information comprises drought-tolerant plants, cold-tolerant plants, saline-alkali-tolerant plants, strong-adaptability plants and the like;
The fourth classification module is used for extracting genetic type information of each plant in each third classification set, obtaining genetic type information of each plant in each third classification set, and carrying out fourth classification according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set. Wherein the genetic type information includes autosomal genetic plants, haploid genetic plants, recombinant genetic plants, and the like.
The working principle of the technical scheme is as follows: by extracting and classifying the germplasm resource information, the use information, the biological characteristic information and the genetic type information of the plants, the plants are classified for a plurality of times so as to better manage and utilize the plant resources. Specifically, the first classification is performed by extracting germplasm resource information of plants input by an input terminal, and obtaining corresponding plant classification groups such as a diatom plant, a fern plant, a gymnosperm plant, a angiosperm plant and the like, so as to obtain a plurality of first classification sets. And extracting application information of each plant in the first classification set, such as edible crops, beverage crops, medicinal plants, ornamental plants, industrial raw material plants and the like, and performing second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set. And extracting biological characteristic information of each plant in each second classification set, such as drought-tolerant plants, cold-tolerant plants, saline-alkali tolerant plants, strong-adaptability plants and the like, and performing third classification according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set. Extracting genetic type information, such as autosomal genetic plants, haploid genetic plants, recombinant genetic plants and the like, of each plant in each third classification set, and classifying for the fourth time according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set.
The technical scheme has the effects that: first, improve plant classification precision: according to the technical scheme provided by the embodiment, the multiple classification method is adopted, so that plants can be classified more finely, and the classification accuracy and precision are improved. Secondly, the plant resource utilization efficiency is improved: by extracting and classifying the germplasm resource information, the application information, the biological characteristic information and the genetic type information of the plants, the plant resources can be better managed and utilized, and the utilization efficiency of the plant resources is improved. Thirdly, convenient plant resource management: plant resources can be managed more conveniently by classifying plants, and the management, protection and utilization of the plant resources are facilitated. Fourth, improve the plant resource and protect the effect: by classifying and managing the plants, plant resources can be better protected, over exploitation and over utilization are avoided, and the ecological environment is protected. Fifth, automated information processing: according to the technical scheme provided by the embodiment, an automatic information extraction and classification method is adopted, so that the manual processing time and workload can be greatly reduced, and the information processing efficiency is improved.
In one embodiment of the present invention, the sharing module includes:
The uploading module is used for uploading the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to a germplasm monitoring node of the blockchain network corresponding to the input terminal by the input terminal;
and the sharing control module is used for sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes after the germplasm monitoring nodes receive the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm monitoring nodes to the germplasm information storage nodes corresponding to the germplasm monitoring nodes.
The working principle of the technical scheme is as follows: firstly, the input terminal uploads the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to a germplasm monitoring node of the blockchain network. When a user enters new germplasm resource information, the new germplasm resource information is uploaded to a germplasm monitoring node, and the germplasm monitoring node is responsible for verifying and sharing the germplasm resource information. And then, after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage nodes corresponding to the germplasm monitoring nodes. When one germplasm monitoring node receives new germplasm resource information, the information is shared to other germplasm monitoring nodes and germplasm information storage nodes. Thus, all nodes have the same germplasm resource information, thereby ensuring the consistency and reliability of the information. When sharing information, the nodes encrypt and verify by using a blockchain technology, so that the safety and the integrity of the information are ensured.
The technical scheme has the effects that: first, improve the credibility of germplasm resource information: the blockchain technology can ensure the safety and the integrity of data, so that the higher credibility can be obtained after the information of the plasma resource is uploaded to the blockchain network. Secondly, the sharing efficiency of germplasm resource information is improved: after receiving the uploaded germplasm resource information, the germplasm monitoring node shares the germplasm resource information to other germplasm monitoring nodes and germplasm information storage nodes, so that the information can be shared rapidly. Thirdly, consistency of germplasm resource information is improved: because all nodes have the same germplasm resource information, the consistency of the information can be ensured, and errors and misunderstanding caused by inconsistent information are avoided. Fourth, facilitating the opening and sharing of germplasm resource information: due to the characteristics of the block chain technology, the germplasm resource information is better protected, and meanwhile, the opening and sharing of the germplasm resource information can be promoted, and the research and the utilization of germplasm resources are promoted.
In one embodiment of the present invention, the sharing control module includes:
the first sharing module is used for sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to all germplasm monitoring nodes in the blockchain network after the germplasm monitoring nodes receive the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, and triggering the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node;
The node distribution module is used for determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of the germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes;
the second sharing module is used for distributing germplasm resource categories and germplasm resource information corresponding to the germplasm monitoring nodes to the germplasm information storage nodes after each germplasm monitoring node distributes the germplasm information storage nodes;
the number of the shared nodes corresponding to each germplasm monitoring node is obtained through the following formula:
/>
wherein,M n-2 representing the number of shared nodes of the remaining n-2 germplasm monitoring nodes except for the two germplasm monitoring nodes with the minimum maximum germplasm information processing number at the same time; int () represents rounding up;Nrepresenting the total number of all germplasm information storage nodes; n represents the number of germplasm monitoring nodes;W maxi represent the firstiMaximum germplasm information processing quantity of each germplasm monitoring node at the same time;W mini representation ofiGermplasm resource information at least needing to be processed by germplasm monitoring nodesNumber of pieces; λ 1 Representing the average calculation complexity coefficient of each germplasm qualification information in the processing process of the germplasm monitoring node;λ 2 represents the specific gravity coefficient of performance of the germplasm monitoring node,λ 2 the value range of (1) is (0, 1)]；C p An average data amount representing germplasm resource information subjected to information storage sharing processing;C x the processing data of the germplasm resource information corresponding to the germplasm monitoring node with the maximum processing data quantity of the germplasm resource information at the same moment in all germplasm monitoring nodes is represented;M 1 andM 2 respectively representing the number of shared nodes corresponding to two germplasm monitoring nodes with the minimum maximum germplasm information processing number;W max1 andW max2 respectively representing the maximum germplasm information processing quantity of two germplasm monitoring nodes with the minimum maximum germplasm information processing quantity at the same moment.
The working principle of the technical scheme is as follows: firstly, after receiving the uploaded germplasm resource category and germplasm resource information corresponding to the germplasm resource category, a germplasm monitoring node shares the information to all germplasm monitoring nodes in a blockchain network, so that other germplasm monitoring nodes can also obtain the information. Meanwhile, the germplasm monitoring node triggers the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node so as to allocate the nodes subsequently.
And then, determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes. Thus, each germplasm monitoring node has a corresponding germplasm information storage node, and germplasm resource information can be stored and managed on the node.
And finally, after each germplasm monitoring node distributes germplasm information storage nodes, the germplasm monitoring node distributes germplasm resource types and germplasm resource information corresponding to the germplasm information storage nodes corresponding to the germplasm monitoring nodes. In this way, this germplasm resource information is stored on the corresponding node and can be obtained by other nodes through sharing. Meanwhile, each node only manages the information distributed by itself, so that the efficiency and the safety of data management can be effectively improved.
The technical scheme has the effects that: firstly, realizing the sharing of germplasm resource information: and the germplasm resource information is shared to other nodes and germplasm information storage nodes through germplasm monitoring nodes in the blockchain network, so that information sharing among a plurality of nodes is realized.
The traceability of germplasm resource information is improved: due to the non-tamper-ability of the blockchain network, the germplasm resource information once recorded on the blockchain cannot be modified or deleted, thereby realizing the traceability of the germplasm resource information. Thirdly, improving the safety of germplasm resource information: by means of the decentralization characteristic of the block chain network, backup and sharing of germplasm resource information among a plurality of nodes are guaranteed, and risks of information loss or tampering are prevented, so that the safety of germplasm resource information is improved. Fourth, the storage redundancy of germplasm information is reduced: by determining the number of the shared nodes and the distribution mode corresponding to each monitoring node, repeated storage of germplasm information can be avoided, and therefore storage redundancy and cost are reduced. Fifth, the sharing efficiency of germplasm information is improved: the germplasm resource information is shared on a plurality of nodes, so that the sharing efficiency can be improved, and any node can acquire the latest germplasm resource information, thereby better protecting and managing germplasm resources. Sixth, the expandability of the system is enhanced: by dynamically adjusting the number of the shared nodes, the system can be rapidly expanded and upgraded so as to adapt to germplasm resource management tasks with different scales and requirements.
Meanwhile, the number of the shared nodes corresponding to each germplasm monitoring node obtained through the technical scheme provided by the embodiment can effectively improve the allocation rationality of germplasm information storage nodes allocated to the germplasm monitoring nodes, so that each germplasm monitoring node can keep optimal data processing and sharing capacity, the sharing speed is improved, and the problems that resources are wasted and the data sharing speed is reduced because the calculation power of the germplasm monitoring nodes cannot be fully utilized due to too few germplasm information storage nodes are prevented. Meanwhile, the problems that the operation load of the germplasm information storage node is increased and the data processing is saturated and the operation stability and the operation efficiency are reduced due to the fact that the germplasm information storage node is too many can be prevented.
In one embodiment of the present invention, the early warning module includes:
the information extraction module is used for extracting the water content information, the germination vigor and the seed vigor contained in the germplasm resource information after the germplasm monitoring node receives the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category;
the germplasm quality evaluation module is used for combining the germplasm resource category with the water content information, the germination vigor and the seed vigor contained in the germplasm resource information corresponding to the germplasm resource category by the germplasm monitoring node to acquire germplasm quality evaluation parameters at fixed time; wherein the germplasm quality evaluation parameter is obtained by the following formula:
Wherein,Qrepresenting germplasm quality evaluation parameters;Q e1 andQ e2 respectively representing a first quality evaluation parameter component and a second quality evaluation parameter component;Q 1 、Q 2 、Q 3 、Q 4 andQ 5 respectively representing a preset first weight value, a preset second weight value, a preset third weight value, a preset fourth weight value and a preset fifth weight value;E 01 representing a first duty ratio coefficient, wherein the value range is 0.64-0.78;E 02 representing a second duty ratio coefficient, wherein the value range is 0.22-0.36;m w represents the wet weight of the seed;m d representing the dry weight of the seed;C zi represents the germplasm quality experiment process, the firstiNumber of germinated seeds per day;T i represent the firstiA day value corresponding to a day;Crepresenting the total number of seeds selected in the germplasm quality experiment process;ktotal days of germplasm quality experiment are represented;R 2 the survival rate of germinated seeds after the growth environment is regulated in the germplasm quality experiment process is shown;R 1 representing the survival rate of germinated seeds before the growth environment is regulated in the quality experiment process;L 2 representing the growth rate of the germinated seeds after the growth environment is regulated in the germplasm quality experiment process;L 1 representing the growth rate of the germinated seeds before the growth environment is regulated in the germplasm quality experiment process;Grepresenting a germplasm purity parameter;Windicating a corresponding temperature value when the corresponding ambient temperature of the current seed storage exceeds a preset standard temperature range; W 0 Representing the ambient temperature corresponding to the previous seed store in a standard temperature range of the seed storeWThe nearest range boundary value;T w indicating the current ambient temperatureWA duration of time;Sindicating a corresponding humidity value when the corresponding ambient humidity of the current seed storage exceeds a preset standard humidity range;S 0 representing the ambient humidity corresponding to the previous seed store in the standard humidity range of the seed storeSThe nearest range boundary value;T s indicating the current ambient humiditySA duration of time;T 0 representing a preset time reference value, wherein the time reference value is determined according to the cleanliness deterioration characteristics of different seeds;G 0 indicating the corresponding cleanliness value when the seeds are stored in a warehouse;
and the germplasm early warning module is used for sending germplasm ex-warehouse replacement early warning to the input terminal by the germplasm monitoring node when the germplasm quality evaluation parameter is lower than a preset parameter threshold value.
The working principle of the technical scheme is as follows: firstly, a germplasm monitoring node extracts germplasm quality evaluation parameters such as water content information, germination vigor, seed vigor and the like from uploaded germplasm resource information. And the germplasm monitoring node is combined with germplasm resource types and corresponding germplasm quality evaluation parameters to acquire germplasm quality evaluation parameters at fixed time, and analyzes and compares the acquired evaluation parameters so as to evaluate the quality of germplasm resources better. When the germplasm quality evaluation parameter is lower than a preset parameter threshold, the germplasm monitoring node triggers germplasm ex-warehouse replacement early warning and sends warning information to the input terminal so as to replace germplasm resources with quality which does not meet the requirement in time. In the embodiment, the quality and the safety of the germplasm resources can be better ensured by monitoring and evaluating the germplasm resources in real time, and the utilization value and the protection value of the germplasm resources are improved.
The technical scheme has the effects that: according to the technical scheme, parameters such as the water content, the germination vigor and the seed vigor in the germplasm resource information are extracted, the germplasm resource is evaluated and monitored at regular time, abnormal germplasm quality is found in time, and early warning is triggered, so that the quality and the safety of the germplasm resource are guaranteed. By uploading the germplasm resource category and the corresponding information thereof to the germplasm monitoring node of the blockchain network, the sharing and traceability of germplasm resource information are realized, and the management and monitoring of the source, the destination and the service condition of germplasm resources are facilitated. By distributing the germplasm information storage nodes in the block chain network, the distributed storage and backup of germplasm resource information are realized, and the reliability and the safety of germplasm resources are improved. Through the triggering of the germplasm ex-warehouse replacement early warning, cross contamination and quality degradation of germplasm resources can be timely prevented and avoided, and the safety and sustainable utilization of germplasm resources are ensured. Meanwhile, the accuracy of germplasm quality evaluation can be effectively improved through the germplasm quality evaluation parameters. Meanwhile, the objectivity and the accuracy of germplasm quality evaluation are improved, and the influence of subjective factors on an evaluation result is avoided by measuring and calculating various quality parameters, so that the objectivity and the accuracy of the evaluation are improved. The seed quality control strategy is optimized, problems can be found and corresponding measures can be timely taken through measurement and analysis of quality parameters, so that the seed quality control strategy is optimized, and the quality and yield of seeds are improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (8)

1. The intelligent management method for the plant germplasm resources is characterized by comprising the following steps of:
performing germplasm resource classification according to germplasm resource information input by an input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to a blockchain network;
after the blockchain network receives the plurality of germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories, the received germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories are shared to each blockchain node;
a germplasm monitoring node in the blockchain network predicts germplasm change conditions corresponding to germplasm resources in real time, and sends germplasm ex-warehouse replacement early warning to the input terminal according to the germplasm change conditions;
the germplasm monitoring node in the blockchain network predicts germplasm change conditions corresponding to germplasm resources in real time, and sends germplasm change early warning to the input terminal according to the germplasm change conditions, and the germplasm change early warning comprises the following steps:
The germplasm monitoring node extracts water content information, germination vigor and seed vigor contained in the germplasm resource information after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category;
the germplasm monitoring node combines the germplasm resource category and the corresponding water content information, germination potential and seed vitality contained in the germplasm resource information to acquire germplasm quality evaluation parameters at fixed time; wherein the germplasm quality evaluation parameter is obtained by the following formula:
；
；
wherein,Qrepresenting germplasm quality evaluation parameters;Q e1 andQ e2 respectively representing a first quality evaluation parameter component and a second quality evaluation parameter component;Q 1 、Q 2 、Q 3 、Q 4 andQ 5 respectively representing a preset first weight value, a preset second weight value, a preset third weight value, a preset fourth weight value and a preset fifth weight value;E 01 representing a first duty ratio coefficient, wherein the value range is 0.64-0.78;E 02 representing a second duty ratio coefficient, wherein the value range is 0.22-0.36;m w represents the wet weight of the seed;m d representing the dry weight of the seed;C zi represents the germplasm quality experiment process, the firstiNumber of germinated seeds per day;T i represent the firstiA day value corresponding to a day;Crepresenting the total number of seeds selected in the germplasm quality experiment process;ktotal days of germplasm quality experiment are represented; R 2 The survival rate of germinated seeds after the growth environment is regulated in the germplasm quality experiment process is shown;R 1 representing the survival rate of germinated seeds before the growth environment is regulated in the quality experiment process;L 2 representing the growth rate of the germinated seeds after the growth environment is regulated in the germplasm quality experiment process;L 1 representing the growth rate of the germinated seeds before the growth environment is regulated in the germplasm quality experiment process;Grepresenting a germplasm purity parameter;Windicating a corresponding temperature value when the corresponding ambient temperature of the current seed storage exceeds a preset standard temperature range;W 0 representing the ambient temperature corresponding to the previous seed store in a standard temperature range of the seed storeWThe nearest range boundary value;T w indicating the current ambient temperatureWA duration of time;Sindicating a corresponding humidity value when the corresponding ambient humidity of the current seed storage exceeds a preset standard humidity range;S 0 representing the ambient humidity corresponding to the previous seed store in the standard humidity range of the seed storeSThe nearest range boundary value;T s indicating the current ambient humiditySA duration of time;T 0 representing a preset time reference value;G 0 indicating the corresponding cleanliness value when the seeds are stored in a warehouse;
and when the germplasm quality evaluation parameter is lower than a preset parameter threshold, the germplasm monitoring node sends germplasm ex-warehouse replacement early warning to the input terminal.
2. The method of claim 1, wherein the classifying the germplasm resources according to germplasm resource information entered by the entry terminal, obtaining a plurality of germplasm resource categories including germplasm resource information, and uploading the germplasm resource categories to the blockchain network, comprises:
extracting germplasm resource information of plants input by the input terminal, obtaining plant classification groups corresponding to the germplasm resource information, and carrying out first classification according to the plant classification groups to obtain a plurality of first classification sets;
extracting application information of each plant in the first classification set to obtain application information of each plant in the first classification set, and performing second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set;
extracting biological characteristic information of each plant in each second classification set to obtain biological characteristic information of each plant in each second classification set, and classifying for the third time according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set;
Extracting genetic type information of each plant in each third classification set to obtain genetic type information of each plant in each third classification set, and performing fourth classification according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set.
3. The method of claim 1, wherein the blockchain network receives the plurality of germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories, and then shares the received germplasm resource categories and the germplasm resource information corresponding to the germplasm resource categories to each blockchain node, and the method comprises the steps of:
the input terminal uploads the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to a germplasm monitoring node of the blockchain network corresponding to the input terminal;
after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage nodes corresponding to the germplasm monitoring nodes.
4. The method according to claim 3, wherein the step of the germplasm monitoring node sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes after receiving the uploaded germplasm resource category and germplasm resource information corresponding to the germplasm resource category, and the step of all germplasm monitoring nodes sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to the germplasm information storage nodes corresponding to the germplasm monitoring nodes comprises:
after receiving the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, the germplasm monitoring node shares the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category onto all germplasm monitoring nodes in a blockchain network, and simultaneously triggers the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node;
determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes;
after each germplasm monitoring node distributes germplasm information storage nodes, the germplasm monitoring nodes distribute germplasm resource categories and germplasm resource information corresponding to the germplasm information storage nodes corresponding to the germplasm monitoring nodes;
The number of the shared nodes corresponding to each germplasm monitoring node is obtained through the following formula:
；
；
wherein,M n-2 representing the number of shared nodes of the remaining n-2 germplasm monitoring nodes except for the two germplasm monitoring nodes with the minimum maximum germplasm information processing number at the same time; int () represents rounding up;Nrepresenting the total number of all germplasm information storage nodes; n represents the number of germplasm monitoring nodes;W maxi represent the firstiMaximum germplasm information processing quantity of each germplasm monitoring node at the same time;W mini representation ofiThe number of germplasm resource information that the germplasm monitoring node needs to process at least;λ 1 representing the average calculation complexity coefficient of each germplasm resource information in the process of being processed by a germplasm monitoring node;λ 2 represents the specific gravity coefficient of performance of the germplasm monitoring node,λ 2 the value range of (1) is (0, 1)]；C p An average data amount representing germplasm resource information subjected to information storage sharing processing;C x the processing data of the germplasm resource information corresponding to the germplasm monitoring node with the maximum processing data quantity of the germplasm resource information at the same moment in all germplasm monitoring nodes is represented;M 1 andM 2 respectively representing the number of shared nodes corresponding to two germplasm monitoring nodes with the minimum maximum germplasm information processing number; W max1 AndW max2 respectively representing the maximum germplasm information processing quantity of two germplasm monitoring nodes with the minimum maximum germplasm information processing quantity at the same moment.
5. The plant germplasm resource intelligent management system is characterized by comprising:
the input classification module is used for classifying the germplasm resources according to germplasm resource information input by the input terminal, obtaining a plurality of germplasm resource categories containing germplasm resource information, and uploading the germplasm resource categories of the germplasm resource information to the blockchain network;
the sharing module is used for sharing the received multiple germplasm resource categories and the germplasm resource information corresponding to the multiple germplasm resource categories to each blockchain node after the blockchain network receives the multiple germplasm resource categories and the germplasm resource information corresponding to the multiple germplasm resource categories;
the early warning module is used for predicting germplasm change conditions corresponding to germplasm resources in real time by germplasm monitoring nodes in the blockchain network and sending germplasm ex-warehouse replacement early warning to the input terminal according to the germplasm change conditions;
wherein, early warning module includes:
the information extraction module is used for extracting the water content information, the germination vigor and the seed vigor contained in the germplasm resource information after the germplasm monitoring node receives the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category;
The germplasm quality evaluation module is used for combining the germplasm resource category with the water content information, the germination vigor and the seed vigor contained in the germplasm resource information corresponding to the germplasm resource category by the germplasm monitoring node to acquire germplasm quality evaluation parameters at fixed time; wherein the germplasm quality evaluation parameter is obtained by the following formula:
；
；
wherein,Qrepresenting germplasm quality evaluation parameters;Q e1 andQ e2 respectively representing a first quality evaluation parameter component and a second quality evaluation parameter component;Q 1 、Q 2 、Q 3 、Q 4 andQ 5 respectively representing a preset first weight value, a preset second weight value, a preset third weight value, a preset fourth weight value and a preset fifth weight value;E 01 representing a first duty ratio coefficient, wherein the value range is 0.64-0.78;E 02 representing a second duty ratio coefficient, wherein the value range is 0.22-0.36;m w represents the wet weight of the seed;m d representing the dry weight of the seed;C zi represents the germplasm quality experiment process, the firstiNumber of germinated seeds per day;T i represent the firstiA day value corresponding to a day;Crepresenting the total number of seeds selected in the germplasm quality experiment process;ktotal days of germplasm quality experiment are represented;R 2 the survival rate of germinated seeds after the growth environment is regulated in the germplasm quality experiment process is shown;R 1 representing the survival rate of germinated seeds before the growth environment is regulated in the quality experiment process; L 2 Representing the growth rate of the germinated seeds after the growth environment is regulated in the germplasm quality experiment process;L 1 representing the growth rate of the germinated seeds before the growth environment is regulated in the germplasm quality experiment process; g represents a germplasm purity parameter;Windicating a corresponding temperature value when the corresponding ambient temperature of the current seed storage exceeds a preset standard temperature range;W 0 representing the ambient temperature corresponding to the previous seed store in a standard temperature range of the seed storeWThe nearest range boundary value;T w indicating the current ambient temperatureWA duration of time;Sindicating a corresponding humidity value when the corresponding ambient humidity of the current seed storage exceeds a preset standard humidity range;S 0 standard humidity representing seed storageAmbient humidity in the range of degrees corresponding to the previous seed storeSThe nearest range boundary value;T s indicating the current ambient humiditySA duration of time;T 0 representing a preset time reference value;G 0 indicating the corresponding cleanliness value when the seeds are stored in a warehouse;
and the germplasm early warning module is used for sending germplasm ex-warehouse replacement early warning to the input terminal by the germplasm monitoring node when the germplasm quality evaluation parameter is lower than a preset parameter threshold value.
6. The plant germplasm resource intelligent management system according to claim 5, wherein said input classification module comprises:
The first classification module is used for extracting germplasm resource information of plants input by the input terminal, obtaining plant classification groups corresponding to the germplasm resource information, and carrying out first classification according to the plant classification groups to obtain a plurality of first classification sets;
the second classification module is used for extracting application information of each plant in the first classification set, obtaining application information of each plant in the first classification set, and carrying out second classification according to the application information to obtain a plurality of second classification sets corresponding to each first classification set;
the third classification module is used for extracting biological characteristic information of each plant in each second classification set to obtain biological characteristic information of each plant in each second classification set, and performing third classification according to the biological characteristic information to obtain a plurality of third classification sets corresponding to each second classification set;
the fourth classification module is used for extracting genetic type information of each plant in each third classification set, obtaining genetic type information of each plant in each third classification set, and carrying out fourth classification according to the genetic type information to obtain a plurality of fourth classification sets corresponding to each third classification set.
7. The plant germplasm resource intelligent management system according to claim 5, wherein said sharing module comprises:
the uploading module is used for uploading the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to a germplasm monitoring node of the blockchain network corresponding to the input terminal by the input terminal;
and the sharing control module is used for sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to other germplasm monitoring nodes after the germplasm monitoring nodes receive the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, and all germplasm monitoring nodes share the germplasm resource category and the germplasm resource information corresponding to the germplasm monitoring nodes to the germplasm information storage nodes corresponding to the germplasm monitoring nodes.
8. The plant germplasm resource intelligent management system according to claim 7, wherein said sharing control module comprises:
the first sharing module is used for sharing the germplasm resource category and the germplasm resource information corresponding to the germplasm resource category to all germplasm monitoring nodes in the blockchain network after the germplasm monitoring nodes receive the uploaded germplasm resource category and the germplasm resource information corresponding to the germplasm resource category, and triggering the blockchain network to acquire the total number of germplasm information storage nodes in the current blockchain node;
The node distribution module is used for determining the number of shared nodes corresponding to each germplasm monitoring node according to the total number of the germplasm information storage nodes and the number of current germplasm monitoring nodes, and distributing germplasm information storage nodes to each germplasm monitoring node according to the number of shared nodes;
the second sharing module is used for distributing germplasm resource categories and germplasm resource information corresponding to the germplasm monitoring nodes to the germplasm information storage nodes after each germplasm monitoring node distributes the germplasm information storage nodes;
the number of the shared nodes corresponding to each germplasm monitoring node is obtained through the following formula:
；
；
wherein,M n-2 representing the number of shared nodes of the remaining n-2 germplasm monitoring nodes except for the two germplasm monitoring nodes with the minimum maximum germplasm information processing number at the same time; int () represents rounding up;Nrepresenting the total number of all germplasm information storage nodes; n represents the number of germplasm monitoring nodes;W maxi represent the firstiMaximum germplasm information processing quantity of each germplasm monitoring node at the same time;W mini representation ofiThe number of germplasm resource information that the germplasm monitoring node needs to process at least; λ 1 Representing the average calculation complexity coefficient of each germplasm resource information in the process of being processed by a germplasm monitoring node;λ 2 represents the specific gravity coefficient of performance of the germplasm monitoring node,λ 2 the value range of (1) is (0, 1)]；C p An average data amount representing germplasm resource information subjected to information storage sharing processing;C x the processing data of the germplasm resource information corresponding to the germplasm monitoring node with the maximum processing data quantity of the germplasm resource information at the same moment in all germplasm monitoring nodes is represented;M 1 andM 2 respectively representing the number of shared nodes corresponding to two germplasm monitoring nodes with the minimum maximum germplasm information processing number;W max1 andW max2 respectively representing the maximum germplasm information processing quantity of two germplasm monitoring nodes with the minimum maximum germplasm information processing quantity at the same moment.
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