Alliance chain-based intelligent agricultural machinery scheduling system and scheduling method thereof

A scheduling system and scheduling method technology, applied in genetic models, genetic laws, computer security devices, etc., can solve the problems of immature supervision technology, low transaction transparency, low transparency, etc., to solve performance and supervision problems, and improve system performance. , the effect of ensuring commercial privacy

Active Publication Date: 2020-06-16
JIANGSU UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Problems in centralized scheduling: 1) single point of failure: the entire system depends on one server, if the server crashes, the entire system will be paralyzed; 2) low transparency: all data passes through the central server first, and then sent to For users, the transparency of the transaction is low, and there is a delay at the same time. Both parties to the transaction cannot obtain data in time, which reduces the decision-making efficiency in the transaction; 3) High cost: the third party will charge the transaction fee to the party, which directly increases the transaction cost; and Centralized system management costs are high, and these costs will be borne by users in the end; transaction fees are transferred through banks, which takes a long time and there will be handling fees; 4) Waste of resources: the agricultural machinery owned by the farmer can only be idle in the warehouse when it is idle , so centralized scheduling cannot solve the problem of idle agricultural machinery
[0007] At the same time, there are problems in the existing consortium chain consensus method: 1) performance problem: in the consortium chain consensus stage, the verification method speed is cumbersome, which affects the speed and performance; 2) security problem: if there are too many malicious nodes in the system, the system Security will be threatened, and even cause system paralysis; 3) The regulatory technology is immature: it is necessary to use appropriate regulatory technology to maintain the normal operation of the alliance chain

Method used

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  • Alliance chain-based intelligent agricultural machinery scheduling system and scheduling method thereof
  • Alliance chain-based intelligent agricultural machinery scheduling system and scheduling method thereof
  • Alliance chain-based intelligent agricultural machinery scheduling system and scheduling method thereof

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Embodiment 1

[0035] This embodiment provides an agricultural machinery scheduling system based on alliance chain, including: authentication layer, transaction layer, data layer and block chain layer, and the system includes four parties: authentication center (CA), agricultural machinery owner (AO) , agricultural machinery users (AU), system supervisors (BO), and in all AOs and AUs, billing nodes (BC) will be selected from time to time to be responsible for block production;

[0036] see figure 1 , the "authentication layer" includes a certification center (CA), which is used to authorize the AO and AU, grant CA certificates, and distribute public and private keys to other participants; the "transaction layer" is used to perform agricultural machinery scheduling matching and regional Block production, in which the matching of AO and AU is realized through smart contracts (SC), BC is responsible for producing blocks, BO is responsible for monitoring the scheduling process and verifying bloc...

Embodiment 2

[0049] The dispatching method of the agricultural machinery dispatching system based on the alliance chain in this embodiment involves four participants: the authentication center (CA), the agricultural machinery owner (AO), the agricultural machinery user (AU) and the system supervisor (BO), see figure 2 :

[0050] Step 201: The certification center (CA) distributes CA certificates to the AO, AU and BO, grants authorization, and adopts an identity authentication mechanism to generate public keys with the organization names of AO, AU and BO, and the certification center generates private keys and sends them to AO , AU and BO;

[0051] Step 202: AU sends a scheduling request bound to the time stamp and encrypted by its own private key and BC public key, and BC verifies the request. If the request passes, BC will call SC to perform scheduling matching, and the matching process passes the function, and adopts Optimal genetic algorithm based on economic surplus theory minimizes...

Embodiment 3

[0074] Such as image 3 As shown, this embodiment provides a blockchain consensus method for agricultural machinery scheduling based on the alliance chain, and the specific process is:

[0075] Consensus consists of three phases - election phase, production phase and verification phase. All AO and AU nodes in the system form a candidate set. In the election phase, the system randomly selects a node from the candidate set as a billing node (BC), and each node in the candidate set has the same probability of being selected. Here, in order to prevent inconsistent probabilities, that is, an AO or AU creates multiple points to enter the candidate set, the system will restrict this behavior—each AO and AU can only have one node enter the candidate set. Each BC is re-elected after a certain number (Q) of blocks are produced. In addition, the time for BC to produce blocks is limited. If a block cannot be produced within a certain period of time, a new BC will be elected.

[0076] Ent...

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Abstract

The invention discloses an alliance chain-based intelligent agricultural machinery scheduling system and a scheduling method thereof, and the method comprises the steps that an authentication center distributes a CA certificate to participants in an alliance chain, gives public keys and non-public private keys to the participants and carries out an access mechanism of identity authentication, an authorized user sends a scheduling request encrypted based on an asymmetric encryption method, an accounting node calls an intelligent contract after decryption and verification, and the intelligent contract acquires data from a data layer through an oracle machine so as to perform scheduling matching. According to the method, a matching process based on an economic residual theory and a genetic algorithm is adopted, and optimal matching and optimal pricing are obtained through an optimization function, and the accounting node records the scheduling data into a new production block and then verifies the scheduling data by a supervisor, if the verification is passed, the scheduling data is broadcasted to all nodes, and all the nodes locally store a new block chain state in a block chain layer. According to the invention, the scheduling efficiency of the intelligent agricultural machinery can be improved, the utilization rate of the agricultural machinery is improved, and the business privacy of users in the system and the traceability of user identities are improved.

Description

technical field [0001] The invention relates to agricultural machinery dispatching technology, in particular to an intelligent agricultural machinery dispatching system and a dispatching method based on an alliance chain. Background technique [0002] Intelligent agricultural machinery scheduling is increasingly pursuing high efficiency, high utilization and low cost. Research in this field can be divided into system structure and algorithm optimization. At this stage, most of the research is aimed at optimizing the scheduling algorithm to meet the scheduling requirements. However, the system structure is based on a centralized platform for centralized scheduling. The scheduling system structure will also play a key role. At present, alliance chain technology is emerging, and alliance chain technology has been applied in some fields. However, the consensus efficiency in the current consortium chain is not high, which will affect system performance, and it lacks regulatory...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/02G06N3/12G06F21/60G06F21/64
CPCG06Q10/06312G06Q10/04G06Q50/02G06N3/126G06F21/602G06F21/64Y02P90/30
Inventor 杨昊天王良民余春堂陈向益赵婷婷张明政夏景
Owner JIANGSU UNIV
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