Plateau whole industry chain pasture digital management cloud system

Abstract

The invention discloses a plateau whole industry chain pasture digital management cloud system, and relates to the technical field of pasture digital management, a data acquisition terminal adopts a 5G + satellite dual-mode communication link and a self-adaptive transmission strategy, the problems of unstable network signals, transmission interruption and the like in a plateau area are solved, and the pasture digital management cloud system is suitable for being applied to the field of pasture digital management. An exclusive transmission and storage path is generated through asymmetric encryption, a single path is prevented from being illegally cracked, temporary data is cleared after data migration, sensitive data is ensured not to be leaked and lost, and the problem that an existing system is weak in safety protection is solved. Growth trend prediction, yield estimation and market supply and demand analysis are realized through big data analysis, a grading authority management and early warning mechanism is combined, the plateau pasture industry is promoted to be transformed from traditional empirical management to data-driven refined and intelligent management, and the industrial chain connection efficiency and the risk response capability are improved.

Description

Technical Field

[0001] This invention relates to the field of digital management technology for forage, specifically a cloud system for digital management of forage across the entire highland industry chain. Background Technology

[0002] In the plateau forage industry, the entire industrial chain covers multiple key links such as forage planting planning, field growth monitoring, harvesting and processing, warehousing and transportation, and market circulation. Each link relies on multi-dimensional data support for refined management, including geographical environment, climate monitoring, soil moisture, production and processing, logistics scheduling, and market transactions. The traditional plateau forage management model is mainly based on manual recording and offline statistics, which has problems such as scattered data storage, delayed updates, and low efficiency in cross-link sharing. This leads to poor connection between various links in the industrial chain, making it difficult to respond quickly to sudden situations such as climate change and market fluctuations, thus restricting the large-scale development of the industry.

[0003] With the penetration of digital technology into the agricultural sector, some highland pasture producing areas have attempted to introduce simplified data management systems. However, the data security protection mechanisms of existing systems are inadequate. Data related to the highland pasture industry includes sensitive content such as geographical information of producing areas, core production technology parameters, and commercial transaction data. Existing systems mostly use a single transmission path and fixed storage address, without setting up dynamic path generation and encrypted transmission mechanisms, making them vulnerable to security risks such as unauthorized access and data theft. This could not only lead to the leakage of corporate trade secrets but also affect the stability of the industry in the producing areas. Furthermore, they have not been adapted and optimized for the special environment of highlands, such as low oxygen, strong radiation, and unstable network signals.

[0004] To address the above problems, this invention proposes a solution. Summary of the Invention

[0005] The purpose of this invention is to provide a digital management cloud system for the entire forage industry chain in plateau regions, in order to solve the problems mentioned in the background art.

[0006] This invention provides a cloud-based digital management system for the entire forage industry chain in plateau regions, comprising:

[0007] A data acquisition terminal is used to collect multi-dimensional data from all aspects of the entire highland forage grass industry chain to generate an industry chain data set. The industry chain data set includes environmental perception data, production operation data, logistics and circulation data, and market transaction data. The data acquisition terminal pre-stores a public key PK and a private key SK.

[0008] The data acquisition terminal is also used to generate the corresponding pre-transmission path based on the industrial chain data set after the industrial chain data set is generated;

[0009] The cloud service platform is used to decrypt and store encrypted data. The cloud service platform includes a decryption operation unit, which is used to generate a target storage path for the industry chain data set after receiving the pre-transmission path of the transmitted industry chain data set.

[0010] The cloud service platform creates a corresponding storage folder for the industry chain data set according to the generated target storage path P_target, so that the industry chain data set can be stored in the corresponding storage folder after it is received.

[0011] Edge computing nodes are used to preprocess and encrypt the data set of the industrial chain. After the cloud service platform successfully creates a corresponding storage folder for the data set of the industrial chain, the edge computing nodes adopt an adaptive transmission strategy and dynamically adjust the transmission parameters according to the network signal strength in the plateau area.

[0012] Furthermore, the data acquisition terminal is connected to the edge computing node via an encrypted communication link, and the edge computing node is connected to the cloud service platform via a 5G+satellite dual-mode communication link.

[0013] Furthermore, the environmental perception data includes altitude, atmospheric pressure, soil moisture, temperature, and precipitation; the production operation data includes sowing area, fertilizer application, harvesting time, and processing parameters; the logistics data includes transport vehicle information, transport routes, and storage locations; and the market transaction data includes transaction prices, transaction volume, and transaction object information.

[0014] Furthermore, the data acquisition terminal generates the following pre-transmission path content based on the aforementioned industry chain data set:

[0015] S11: Extract key feature parameters from the industrial chain data set, including the average altitude H in environmental perception data, the sowing area S in production operation data, the transportation distance L in logistics data, and the transaction volume Q in market transaction data;

[0016] S12: Construct a feature dictionary D, the expression of which is:

[0017] D = {"altitude_avg": H, "sowing_area": ​​S, "transport_distance": L, "transaction_quantity": Q}

[0018] S13: Convert the feature dictionary D into a JSON format string and mark it as D_json;

[0019] S14: Use the pre-stored public key PK to perform RSA encryption on D_json, generating a pre-transmission path P_pre. The encryption formula is:

[0020] P_pre = RSA_Encrypt(D_json, PK), where RSA_Encrypt represents the RSA encryption algorithm, and the input parameters are the string to be encrypted and the public key.

[0021] Furthermore, the cloud service platform also includes a key storage unit, wherein the public key PK' and private key SK' stored in the key storage unit are completely identical to the public key PK and private key SK stored in the data acquisition terminal.

[0022] Furthermore, the content of the target storage path for the industry chain data set generated by the decryption operation unit is as follows:

[0023] S21: Decrypt the pre-transmission path P_pre using the private key SK' to obtain the JSON format string D_json. The decryption formula is:

[0024] D_json = RSA_Decrypt(P_pre, SK'), where RSA_Decrypt represents the RSA decryption algorithm, and the input parameters are the encryption path and the private key;

[0025] S22: Convert D_json to dictionary format D' using the json.loads() method, and extract key feature parameters H', S', L', and Q';

[0026] S23: Calculate the feature hash value H_hash. Use the SHA-256 algorithm to perform hash operations on the key feature parameters. The formula is:

[0027] H_hash = SHA256(H' || S' || L' || Q'), where "||" represents string concatenation.

[0028] S24: Generate the target storage path P_target, with the following path format:

[0029] P_target = " / cloud / storage / forage / " + H_hash + " / " + Device ID.

[0030] Furthermore, the formula for calculating network signal strength is:

[0031] R = (RSSI_avg + SNR) / 2, where RSSI_avg is the average value of the received signal strength indication, and SNR is the signal-to-noise ratio;

[0032] When R≥R0, a 5G communication link is used for transmission, and the transmission rate V1 is set to 10 Mbps, where R0 is the signal strength threshold;

[0033] When R<R0, it automatically switches to the satellite communication link, the transmission rate V2 is set to 2 Mbps, and the industrial chain data set is divided into n data blocks through the data fragmentation algorithm. The calculation formula for the fragmentation number n is: n = ceil(Data_Size / (V2×T0));

[0034] Among them, Data_Size is the total size of the industrial chain data set, T0 is the maximum transmission duration of a single data block, and ceil() is the ceiling function.

[0035] Furthermore, the cloud service platform is also used to mine the industrial chain data set using big data analysis algorithms to generate reports on forage growth trend prediction, yield estimation, and market supply and demand analysis; it is also used to provide data sharing and permission management functions for users in each link of the industrial chain, and different users can obtain corresponding link data according to their permissions; it is also used to generate warning information and push it to the electronic devices of relevant users based on environmental perception data and growth trend prediction when abnormal climate or growth conditions occur.

[0036] Compared with the prior art, it has the following beneficial effects:

[0037] The data acquisition terminal of the present invention adopts a 5G+satellite dual-mode communication link and an adaptive transmission strategy, solving the problems of unstable network signals and transmission interruptions in plateau areas, and ensuring the continuity and reliability of the entire industrial chain data;

[0038] The present invention generates exclusive transmission and storage paths through asymmetric encryption, avoiding illegal cracking of a single path, clearing temporary data after data migration, and ensuring that sensitive data is not leaked or lost, solving the problem of weak security protection in the existing system;

[0039] The present invention realizes growth trend prediction, yield estimation and market supply and demand analysis through big data analysis, combines hierarchical permission management and warning mechanisms, promotes the transformation of the plateau forage industry from traditional experience-based management to data-driven refined and intelligent management, and improves the connection efficiency of the industrial chain and the risk response ability. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is the system block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Please see Figure 1 This application provides a cloud system for digital management of forage grass across the entire plateau industry chain, including a data acquisition terminal, an edge computing node, and a cloud service platform. The data acquisition terminal and the edge computing node are connected via an encrypted communication link, and the edge computing node and the cloud service platform are connected via a 5G+satellite dual-mode communication link.

[0043] The data acquisition terminal is used to collect multi-dimensional data from all aspects of the entire highland forage grass industry chain and generate an industry chain data set. The industry chain data set includes environmental perception data, production operation data, logistics and circulation data, and market transaction data. The environmental perception data includes altitude, atmospheric pressure, soil moisture, temperature, and precipitation. The production operation data includes sowing area, fertilizer application, harvesting time, and processing parameters. The logistics and circulation data includes transportation vehicle information, transportation routes, and storage locations. The market transaction data includes transaction prices, transaction volume, and transaction object information.

[0044] The data acquisition terminal pre-stores a public key PK and a private key SK, which employ an asymmetric encryption algorithm.

[0045] The data acquisition terminal is used to generate a corresponding pre-transmission path based on the industry chain data set after the industry chain data set is generated, as follows:

[0046] S11: Extract key feature parameters from the industrial chain data set, including the average altitude H in environmental perception data, the sowing area S in production operation data, the transportation distance L in logistics data, and the transaction volume Q in market transaction data;

[0047] S12: Construct a feature dictionary D, the expression of which is:

[0048] D = {"altitude_avg": H, "sowing_area": ​​S, "transport_distance": L, "transaction_quantity": Q}

[0049] S13: Convert the feature dictionary D into a JSON format string and mark it as D_json;

[0050] S14: Use the pre-stored public key PK to perform RSA encryption on D_json, generating a pre-transmission path P_pre. The encryption formula is:

[0051] P_pre = RSA_Encrypt(D_json, PK), where RSA_Encrypt represents the RSA encryption algorithm, and the input parameters are the string to be encrypted and the public key;

[0052] The data acquisition terminal transmits the pre-transmission path P_pre to the cloud service platform;

[0053] The cloud service platform is used to decrypt, store, and manage encrypted data across the entire industry chain. The cloud service platform includes a key storage unit and a decryption operation unit. The public key PK' and private key SK' stored in the key storage unit are completely consistent with the public key PK and private key SK stored in the data acquisition terminal.

[0054] The specific rules for the decryption unit to generate the target storage path are as follows:

[0055] S21: The decryption unit uses the private key SK' to decrypt the pre-transmission path P_pre, obtaining the JSON format string D_json. The decryption formula is:

[0056] D_json = RSA_Decrypt(P_pre, SK'), where RSA_Decrypt represents the RSA decryption algorithm, and the input parameters are the encryption path and the private key;

[0057] S22: Convert D_json to dictionary format D' using the json.loads() method, and extract key feature parameters H', S', L', and Q';

[0058] S23: Calculate the feature hash value H_hash. Use the SHA-256 algorithm to perform hash operations on the key feature parameters. The formula is:

[0059] H_hash = SHA256(H' || S' || L' || Q'), where "||" represents string concatenation.

[0060] S24: Generate the target storage path P_target, with the following path format:

[0061] P_target = " / cloud / storage / forage / " + H_hash + " / " + device identifier ID, where " / cloud / storage / forage / " is a common path prefix for storing supply chain data sets preset by the administrator;

[0062] The cloud service platform creates a corresponding storage folder for the industrial chain data set according to the generated target storage path P_target, so as to store the industrial chain data set into the corresponding storage folder after receiving it;

[0063] The edge computing node is used for preprocessing and encrypted transmission of the industrial chain data set. After the cloud service platform successfully creates a corresponding storage folder for the industrial chain data set, the edge computing node adopts an adaptive transmission strategy and dynamically adjusts the transmission parameters according to the network signal strength in the plateau area. The calculation formula for the network signal strength R is:

[0064] R =(RSSI_avg + SNR) / 2, where RSSI_avg is the average value of the received signal strength indication and SNR is the signal-to-noise ratio;

[0065] When R≥R0, use a 5G communication link for transmission, and the transmission rate V1 is set to 10Mbps, where R0 is the signal strength threshold. Preferably, the value range of RO is -70dBm;

[0066] When R<R0, automatically switch to the satellite communication link, the transmission rate V2 is set to 2Mbps, and the industrial chain data set is divided into n data blocks through the data sharding algorithm. The calculation formula for the sharding number n is: n=ceil(Data_Size / (V2×T0));

[0067] Among them, Data_Size is the total size of the industrial chain data set, unit: MB, T0 is the maximum transmission duration of a single data block, and the preferred value is 60s. ceil() is the ceiling function;

[0068] After storing the industrial chain data set, the cloud service platform sets an effective storage duration T for the target storage path P_target corresponding to the industrial chain data set. The calculation formula for the set effective storage duration T is:

[0069] T = k × (Data_Size / V_avg), where k is the safety factor, and the value range is 1.5-2.0. V_avg is the average transmission rate, V_avg = (V1×t1 + V2×t2) / (t1 + t2), t1 is the transmission duration of the 5G communication link, and t2 is the transmission duration of the satellite communication link;

[0070] The cloud service platform is also used to mine the industrial chain data set using big data analysis algorithms to generate reports on forage growth trend prediction, yield estimation, and market supply and demand analysis;

[0071] The cloud service platform is also used to provide data sharing and access management functions for users in all links of the industry chain, and different users can obtain data from the corresponding links according to their permissions.

[0072] The cloud service platform is also used to generate early warning information and push it to the electronic devices of relevant users when abnormal weather or growth conditions occur, based on environmental perception data and growth trend prediction. In this application, electronic devices include, but are not limited to, smartphones, laptops and desktop computers.

[0073] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0074] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A cloud-based digital management system for the entire forage industry chain in plateau regions, characterized in that: include: A data acquisition terminal is used to collect multi-dimensional data from all links of the entire highland forage grass industry chain to generate an industry chain data set. The industry chain data set includes environmental perception data, production operation data, logistics and circulation data, and market transaction data. The data acquisition terminal pre-stores a public key PK and a private key SK. The data acquisition terminal is also used to generate the corresponding pre-transmission path based on the industrial chain data set after the industrial chain data set is generated; The cloud service platform is used to decrypt and store encrypted data. The cloud service platform includes a decryption operation unit, which is used to generate a target storage path for the industry chain data set after receiving the pre-transmission path of the transmitted industry chain data set. The cloud service platform creates a corresponding storage folder for the industry chain data set according to the generated target storage path P_target, so that the industry chain data set can be stored in the corresponding storage folder after it is received. Edge computing nodes are used to preprocess and encrypt the data set of the industrial chain. After the cloud service platform successfully creates a corresponding storage folder for the data set of the industrial chain, the edge computing nodes adopt an adaptive transmission strategy and dynamically adjust the transmission parameters according to the network signal strength in the plateau area.

2. The plateau whole-industry chain forage digital management cloud system according to claim 1, characterized in that, The data acquisition terminal is connected to the edge computing node via an encrypted communication link, and the edge computing node is connected to the cloud service platform via a 5G+satellite dual-mode communication link.

3. The plateau whole-industry chain forage digital management cloud system according to claim 1, characterized in that, The environmental perception data includes altitude, atmospheric pressure, soil moisture, temperature, and precipitation; the production operation data includes sowing area, fertilizer application, harvesting time, and processing parameters; the logistics data includes transport vehicle information, transport routes, and warehouse locations; and the market transaction data includes transaction prices, transaction volume, and transaction object information.

4. The plateau whole-industry chain forage digital management cloud system according to claim 1, characterized in that, The data acquisition terminal generates the following content for its corresponding pre-transmission path based on the aforementioned industry chain data set: S11: Extract key feature parameters from the industrial chain data set, including the average altitude H in environmental perception data, the sown area S in production operation data, the transportation distance L in logistics data, and the transaction volume Q in market transaction data; S12: Construct a feature dictionary D, the expression of which is: D = {"altitude_avg": H, "sowing_area": ​​S, "transport_distance": L, "transaction_quantity": Q} S13: Convert the feature dictionary D into a JSON format string and mark it as D_json; S14: Use the pre-stored public key PK to perform RSA encryption on D_json, generating a pre-transmission path P_pre. The encryption formula is: P_pre = RSA_Encrypt(D_json, PK), where RSA_Encrypt represents the RSA encryption algorithm, and the input parameters are the string to be encrypted and the public key.

5. The plateau whole-industry chain forage digital management cloud system according to claim 1, characterized in that, The cloud service platform further includes a key storage unit, and the public key PK' and private key SK' stored in the key storage unit are exactly the same as the public key PK and private key SK stored in the data collection terminal.

6. The plateau whole-industry chain forage digital management cloud system according to claim 5, characterized in that, The content of the decryption operation unit for generating the target storage path of the industrial chain data set is as follows: S21: Use the private key SK' to decrypt the pre-transmission path P_pre to obtain a JSON format string D_json. The decryption formula is: D_json = RSA_Decrypt(P_pre, SK'), where RSA_Decrypt represents the RSA decryption algorithm, and the input parameters are the encrypted path and the private key; S22: Convert D_json to a dictionary format D' through the json.loads() method, and extract the key feature parameters H', S', L', Q'; S23: Calculate the feature hash value H_hash. Use the SHA-256 algorithm to perform a hash operation on the key feature parameters. The formula is: H_hash = SHA256(H' || S' || L' || Q'), where "||" represents the string concatenation operation; S24: Generate the target storage path P_target. The path format is: P_target = " / cloud / storage / forage / " + H_hash + " / " + device identifier ID.

7. The plateau whole-industry chain forage digital management cloud system according to claim 1, characterized in that, The calculation formula for the network signal strength is: R =(RSSI_avg + SNR) / 2, where RSSI_avg is the average value of the received signal strength indication, and SNR is the signal-to-noise ratio; When R≥R0, use a 5G communication link for transmission, and the transmission rate V1 is set to 10 Mbps, where R0 is the signal strength threshold; When R<R0, automatically switch to the satellite communication link, the transmission rate V₂ is set to 2 Mbps, and the industrial chain data set is divided into n data blocks through the data sharding algorithm. The calculation formula for the sharding quantity n is: n = ceil(Data_Size / (V2×T0)); Among them, Data_Size is the total size of the industrial chain data set, T0 is the maximum transmission duration of a single data block, and ceil() is the ceiling function.

8. The plateau whole-industry chain forage digital management cloud system according to claim 1, characterized in that, The cloud service platform is also used to mine the industrial chain data set using big data analysis algorithms to generate reports on forage growth trend prediction, yield estimation, and market supply and demand analysis; it is also used to provide data sharing and permission management functions for users in each link of the industrial chain. Different users can obtain data for the corresponding link according to their permissions; it is also used to generate warning information and push it to the electronic devices of relevant users based on environmental perception data and growth trend prediction when abnormal weather or growth conditions occur.

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