A forestry pest information integrated management system and method

Abstract

The present invention discloses an information-based integrated management system and method for forest pests, which relates to the technical field of information-based integrated management of forest pests based on blockchain. It is based on blockchain and is responsible for collecting monitoring data related to the integrated management of forest pests, calculating and outputting the on-chain amount LL of forest pest information, the information transmission efficiency CL between parallel chains, and the relay chain security and cost-effectiveness comprehensive index AC, drawing them into a linear graph, and finding historical similarities that are similar to or equal to the currently output relay chain security and cost-effectiveness comprehensive index AC. According to the measures taken at the historical similarities, comprehensive management measures are formulated. The present invention utilizes blockchain technology to improve the accuracy and efficiency of information, optimize resource allocation and transmission paths, reduce operating costs, and ensure the security and integrity of information. These beneficial effects jointly promote the development of forest pest management towards a more intelligent, efficient and sustainable direction.

Description

Technical Field

[0001] The present invention relates to the technical field of information-based integrated management of forestry pests based on blockchain, and specifically to an information-based integrated management system and method for forestry pests. Background Art

[0002] Forest pests pose a serious threat to forest resources, not only affecting the normal growth of trees but also potentially leading to imbalances in forest ecosystems. Therefore, timely, accurate, and effective monitoring and management of forest pests is particularly important. The continuous development of information technology, particularly the widespread application of the internet, big data, cloud computing, and the Internet of Things, has provided strong technical support for the informatization of forest pest management. These technologies enable the real-time collection, transmission, storage, analysis, and application of forest pest information, significantly improving management efficiency and prevention effectiveness.

[0003] However, the existing forest pest information management methods often adopt centralized storage, resulting in serious information island phenomenon. Data between different departments and regions cannot be shared, resulting in data inconsistency and duplication of work. Moreover, due to the centralized storage of information, once the data center is attacked or fails, it will lead to data loss and leakage, which will in turn have a serious impact on the prevention and control of forest pests. In the process of information transmission, due to the large amount of information, slow transmission speed and repeated transmission problems, the information transmission efficiency is low and it is impossible to respond to the prevention and control needs of forest pests in a timely manner. In addition, the existing information management system often lacks an effective feedback mechanism and cannot adjust the monitoring and processing strategies in time according to changes in information. Summary of the Invention

[0004] The purpose of the present invention is to provide an information-based integrated management system for forestry pests, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention provides the following forest pest information integrated management system, including an integrated management system of blockchains of parallel chains and relay chains;

[0006] It includes a data collection module, a data processing module, and a visualization adjustment and optimization module. The data processing module includes a basic unit for comprehensively providing forest pest information, a unit for evaluating the efficiency and cost of transmitting forest pest information between parallel chains, and a unit for comprehensively reflecting the performance of the relay chain in terms of security and cost-effectiveness.

[0007] Data collection module: Based on blockchain, it is responsible for collecting monitoring data related to the integrated management of forest pests. The monitoring data includes the number of forest pests found FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, and the amount of forest pest information on the chain LL. prev , information repetition rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security factor A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB;

[0008] Comprehensively provide forest pest information basic unit: responsible for calculating and outputting forest pest information on-chain volume LL;

[0009] Evaluate the efficiency and cost of transmitting forestry harmful information between parallel chains: Responsible for calculating the output of the information transmission efficiency CL between parallel chains;

[0010] Comprehensively reflects the performance of the relay chain in terms of security and cost-effectiveness: responsible for calculating and outputting the relay chain security and cost-effectiveness comprehensive index AC;

[0011] Visualization Adjustment and Optimization Module: This module is responsible for plotting the relay chain security and cost-effectiveness comprehensive index AC in the time series into a line graph, and finding historical similarities that are close to or equal to the currently output relay chain security and cost-effectiveness comprehensive index AC. Based on the measures taken at these historical similarities, comprehensive management measures are formulated.

[0012] The equipment used in the data collection module includes drones and sensors;

[0013] The equipment used by the data processing module includes high-performance computers and servers, and communication equipment;

[0014] The devices used by the visualization adjustment and optimization module include visualization devices.

[0015] Optionally, the calculation formula for the basic unit of comprehensive provision of forest pest information is as follows:

[0016] LL=SQRT(FL×(ZQ+XL))-DS;

[0017] ZQ=YT / Z;

[0018] XL=C / ZD;

[0019] DS=(YL-ZL) / YL;

[0020] in:

[0021] LL is the amount of forest pest information on the blockchain. LL represents the total amount of forest pest information recorded on the blockchain.

[0022] FL is the number of forest pests found;

[0023] ZQ is the information accuracy index, which reflects the accuracy of the uploaded information and has a value range of 0 to 1;

[0024] YT is the number of verified messages, and Z is the total number of messages;

[0025] XL is the information processing efficiency index, which indicates the speed and quality of information processing and ranges from 0 to 1;

[0026] C is the number of processed messages, and ZD is the total number of messages to be processed;

[0027] DS is the information loss rate, which reflects the proportion of information loss caused by technical and human factors;

[0028] YL is the original information volume, and ZL is the final recorded information volume.

[0029] Optionally, the calculation formula for evaluating the efficiency and cost unit of transmitting forestry harmful information between parallel chains is as follows:

[0030] CL=(LL×YS+LL prev × CFL) / (1+SQRT(YC+LY))-GC;

[0031] YS=Y1 / Y2;

[0032] CFL=CF / Z;

[0033] in:

[0034] CL is the information transmission efficiency between parallel chains;

[0035] YS is the information compression rate, which indicates the degree of information compression during transmission and has a value range of 0 to 1;

[0036] Y1 is the size of the data after compression, and Y2 is the size of the data before compression;

[0037] LL prev The amount of forest pest information uploaded to the chain in the previous time;

[0038] CFL is the information repetition rate, which indicates the degree of repetition of information in multiple transmissions and has a value range of 0 to 1;

[0039] CF is the number of repeated information;

[0040] YC is the data transmission delay;

[0041] LY is the inter-chain communication delay, which indicates the time required to establish communication between different parallel chains;

[0042] GC is a fixed cost, which includes energy consumption during the transmission process and maintenance costs.

[0043] Optionally, the calculation formula for the unit that fully reflects the relay chain's performance in terms of security and cost-effectiveness is as follows:

[0044] AC=CL×A-JM×SQRT(YZC+FC)+LL prev ×JB;

[0045] JB=ZJ / TC;

[0046] in:

[0047] AC is the comprehensive index of relay chain security and cost-effectiveness;

[0048] A is the security factor, which represents the relay chain's ability to ensure the security of information transmission, and its value ranges from 0 to 1;

[0049] JM is the encryption cost, including the selection of encryption algorithms and the costs incurred in key management;

[0050] YZC is the verification cost, which represents the cost of verifying the authenticity and integrity of information;

[0051] FC is the risk cost, which reflects the potential losses caused by security vulnerabilities and attacks;

[0052] LL prev is the total amount of forest pest information on the chain, LL prev Reflects the total amount of forest pest information recorded in the entire blockchain network, and is regarded as the sum of the forest pest information on-chain LL on all parallel chains;

[0053] JB is the value return rate, which represents the value return brought by improving the efficiency of forest pest information management through blockchain technology;

[0054] ZJ is the total value benefit and TC is the total input cost.

[0055] Optionally, the calculation formula of the safety factor A is as follows:

[0056] ;

[0057] n is the total number of security indicators, including the strength of the encryption algorithm, the security of key management, and the attack and defense capabilities.

[0058] a iis the weight of the i-th security indicator. Based on the system settings, the strength of the encryption algorithm, the security of key management, and the attack and defense capability indicators are prioritized and ranked. The sum of the weights of the strength of the encryption algorithm, the security of key management, and the attack and defense capability indicators is 1.

[0059] p i The i-th security indicator score reflects the known scores of indicators stored in the system regarding the strength of the encryption algorithm, the security of key management, and the attack defense capability.

[0060] Optionally, the analysis and management steps based on the relay chain security and cost-effectiveness comprehensive index AC are as follows:

[0061] S1: Collect the values ​​of the relay chain security and cost-effectiveness comprehensive index AC based on time series;

[0062] S2: Draw a line graph of the relay chain security and cost-effectiveness comprehensive index AC calculated at different management times according to the order of the time series, with the X-axis of the line graph representing time and the Y-axis representing the value of the relay chain security and cost-effectiveness comprehensive index AC;

[0063] S3: Observe the changing trend of the relay chain security and cost-effectiveness comprehensive index AC on the line chart, and find the points on the line chart that are close to or equal to the current output relay chain security and cost-effectiveness comprehensive index AC, and regard them as historical similarities;

[0064] S4: Based on the measures taken at historical similarities, formulate management measures for the current output relay chain security and cost-effectiveness comprehensive index A, as follows:

[0065] If measures to improve monitoring efficiency are taken at the same historical point, and the relay chain security and cost-effectiveness index AC shows an upward trend after the same historical point, then the measures are considered effective and measures to improve monitoring efficiency should be implemented at present;

[0066] On the contrary, if measures to improve monitoring efficiency are taken at the same historical point, but the relay chain security and cost-effectiveness comprehensive index AC shows a downward trend after the same historical point, then the measures are considered ineffective and measures to optimize the current information processing process should be implemented;

[0067] If measures to optimize the information processing flow are taken at the same historical point, and the relay chain security and cost-effectiveness comprehensive index AC shows an upward trend after the same historical point, then the measures are considered effective and the current measures to optimize the information processing flow should be implemented;

[0068] On the contrary, if measures are taken to optimize the information processing flow at the same historical point, but the relay chain security and cost-effectiveness comprehensive index AC shows a downward trend after the same historical point, then the measures are considered ineffective and measures to improve monitoring efficiency should be taken at present.

[0069] Optionally, the measures to improve monitoring efficiency will affect increasing the number of forest pests found FL in the basic unit for comprehensive provision of forest pest information;

[0070] The measures to optimize the information processing process will have the effect of increasing the information accuracy index ZQ and the information processing efficiency index XL in the basic unit of comprehensive provision of forest pest information.

[0071] The present invention also provides an information-based integrated management method for forestry pests, which is specifically implemented in the following steps:

[0072] Step I: Using blockchain technology and the data collection module, collect monitoring data related to the integrated management of forest pests. The monitoring data includes the number of forest pests found FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, and the amount of forest pest information on the chain LL. prev , information repetition rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security factor A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB;

[0073] Step II: Using the data processing module, calculate the output forest pest information on-chain volume LL, the information transmission efficiency between parallel chains CL, and the relay chain security and cost-effectiveness comprehensive index AC in sequence;

[0074] Step III: Based on the relay chain security and cost-effectiveness comprehensive index AC, and using the visualization adjustment and optimization module, the relay chain security and cost-effectiveness comprehensive index AC in the time series is plotted into a line graph, and historical similarities are found that are similar to or equal to the currently output relay chain security and cost-effectiveness comprehensive index AC. Based on the measures taken at the historical similarities, comprehensive management measures are formulated.

[0075] Compared with the prior art, the present invention has the following beneficial effects:

[0076] 1. The present invention realizes the distributed storage and sharing of forest pest information by constructing parallel chains. Data between different departments and regions can be synchronized in real time, avoiding the problems of information islands and data inconsistency. It also combines blockchain technology with the information management of forest pests, which not only solves the problems existing in the existing management methods, but also improves the efficiency and security of information management, providing new technical means and solutions for the prevention and control of forest pests.

[0077] 2. The present invention utilizes the immutability and encryption algorithm of blockchain technology to ensure the security of forest pest information, thereby preventing the risk of data leakage and tampering.

[0078] 3. The present invention evaluates the efficiency of forestry hazard information transmission between parallel chains and the information transmission efficiency CL calculated by the cost sheet, and adjusts the information compression rate YS and the information repetition rate CFL according to the results, thereby effectively reducing the redundancy and delay of information transmission and improving the efficiency of information transmission.

[0079] 4. The present invention forms a closed-loop feedback mechanism by calculating the relay chain security and cost-effectiveness comprehensive index AC, which comprehensively reflects the relay chain's performance in terms of security and cost-effectiveness. The monitoring efficiency and information processing flow are adjusted according to the results. In addition, by combining a line chart to observe the changing trend of the relay chain security and cost-effectiveness comprehensive index AC and the measures taken at similar historical points, timely discovery and optimization measures can be taken, thereby improving the overall performance and response speed of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 Flow chart of the method for information-based integrated management of forest pests;

[0081] Figure 2 Develop a schematic diagram for the process of measure management in this forestry pest information integrated management system;

[0082] Figure 3 Schematic diagram of the structure of the data processing module of the present invention;

[0083] Figure 4 Schematic diagram of the relay chain security and cost-effectiveness comprehensive index AC in the present invention. DETAILED DESCRIPTION

[0084] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0085] Regarding this forestry pest information integrated management system and method, it is different from the existing information recording and management methods. The existing information recording and management methods have problems such as information islands, data inconsistency, and insufficient security, and lack an effective feedback mechanism, and are unable to adjust monitoring and processing strategies in a timely manner according to changes in information. This algorithm unit uses blockchain technology to improve the accuracy and efficiency of information, optimize resource allocation and transmission paths, reduce operating costs, and ensure the security and integrity of information. These beneficial effects jointly promote the development of forestry pest management towards a more intelligent, efficient and sustainable direction.

[0086] For example 1, please refer to Figures 1 to 4 ,This implementation provides an information-based integrated management system for forestry pests, including an integrated management system for blockchains of parallel chains and relay chains;

[0087] It includes a data collection module, a data processing module, and a visualization adjustment and optimization module. The data processing module includes a basic unit for comprehensively providing forest pest information, a unit for evaluating the efficiency and cost of transmitting forest pest information between parallel chains, and a unit for comprehensively reflecting the performance of the relay chain in terms of security and cost-effectiveness.

[0088] The specific implementation is as follows:

[0089] Data collection module: Based on blockchain, it is responsible for collecting monitoring data related to the integrated management of forest pests. The monitoring data includes the number of forest pests found FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, and the amount of forest pest information on the chain LL. prev , information repetition rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security factor A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB;

[0090] Comprehensively provide forest pest information basic unit: responsible for calculating and outputting forest pest information on-chain volume LL;

[0091] Evaluate the efficiency and cost of transmitting forestry harmful information between parallel chains: Responsible for calculating the output of the information transmission efficiency CL between parallel chains;

[0092] Comprehensively reflects the performance of the relay chain in terms of security and cost-effectiveness: responsible for calculating and outputting the relay chain security and cost-effectiveness comprehensive index AC;

[0093] Visualization Adjustment and Optimization Module: This module is responsible for plotting the relay chain security and cost-effectiveness comprehensive index AC in the time series into a line graph, and finding historical similarities that are close to or equal to the currently output relay chain security and cost-effectiveness comprehensive index AC. Based on the measures taken at these historical similarities, comprehensive management measures are formulated.

[0094] The equipment used in the data collection module includes drones and sensors;

[0095] The equipment used in the data processing module includes high-performance computers and servers, and communication equipment;

[0096] The equipment used in the visualization adjustment and optimization module includes visualization equipment.

[0097] See also Figures 1 to 4 This implementation also provides an information-based integrated management method for forestry pests, including a comprehensive management method for blockchains of parallel chains and relay chains. The specific implementation steps are as follows:

[0098] Step I: Using blockchain technology and data collection modules, collect monitoring data related to the integrated management of forest pests. The monitoring data includes the number of forest pests found FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, and the amount of forest pest information on the chain in the previous time LL. prev , information repetition rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security factor A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB;

[0099] Step II: Using the data processing module, calculate the output forest pest information on-chain volume LL, the information transmission efficiency between parallel chains CL, and the relay chain security and cost-effectiveness comprehensive index AC;

[0100] Step III: Based on the relay chain security and cost-effectiveness comprehensive index AC, and using the visualization adjustment and optimization module, the relay chain security and cost-effectiveness comprehensive index AC in the time series is plotted into a line graph, and historical similarities are found that are similar to or equal to the current output relay chain security and cost-effectiveness comprehensive index AC. Based on the measures taken at the historical similarities, comprehensive management measures are formulated.

[0101] In this embodiment, the system cooperates with each other through three algorithm units and combines the three operation results of LL, CL and AC to form the core algorithm framework of the blockchain-based forest pest information integrated management system. Specifically, LL is the amount of forest pest information on the chain. This value can more accurately evaluate and determine which information should be recorded on the blockchain, thereby ensuring the validity and reliability of the information. CL is the information transmission efficiency between parallel chains. This value can more accurately evaluate the information transmission performance between parallel chains and help optimize the transmission strategy to reduce costs and improve efficiency. This is of great significance for achieving fast and accurate sharing of forest pest information. AC is the relay chain security. The comprehensive index of security and cost-effectiveness can more comprehensively reflect the performance of the relay chain in terms of security and cost-effectiveness, and provide strong data support for the system. This helps to optimize the configuration and management of the relay chain, improve the security and efficiency of information transmission, and reduce operating costs. The calculation results of AC can also affect the calculations fed back to LL and CL, making the three algorithms of this system highly correlated and entangled. The feedback measures will improve the scientificity and accuracy of decision-making, optimize resource allocation, reduce cost-effectiveness, and promote continuous improvement. These effects are closely related to the parameters calculated in LL, CL, and AC, and together constitute a comprehensive evaluation system for the performance and security of the relay chain.

[0102] See also Figures 1 to 4 The calculation formula for the basic unit of comprehensive forest pest information is as follows:

[0103] LL=SQRT(FL×(ZQ+XL))-DS;

[0104] ZQ=YT / Z;

[0105] XL=C / ZD;

[0106] DS=(YL-ZL) / YL;

[0107] in:

[0108] LL is the amount of forest pest information on the blockchain. LL represents the total amount of forest pest information recorded on the blockchain.

[0109] FL is the number of forest pests found;

[0110] ZQ is the information accuracy index, which reflects the accuracy of the uploaded information and has a value range of 0 to 1;

[0111] YT is the number of verified messages, and Z is the total number of messages;

[0112] XL is the information processing efficiency index, which indicates the speed and quality of information processing and ranges from 0 to 1;

[0113] C is the number of processed messages, and ZD is the total number of messages to be processed;

[0114] DS is the information loss rate, which reflects the proportion of information loss caused by technical and human factors;

[0115] YL is the original information volume, and ZL is the final recorded information volume.

[0116] In this embodiment: First, the calculation part of "SQRT(FL×(ZQ+XL))" in this algorithm unit is intended to comprehensively consider the number of forest pests found FL, the information accuracy index ZQ, and the information processing efficiency index XL, so as to obtain a more comprehensive and accurate assessment value of the amount of forest pest information uploaded to the chain. This calculation part is the core of the basic unit for comprehensively providing forest pest information, and directly determines the size of the amount of forest pest information uploaded to the chain LL, thereby optimizing the output of the entire algorithm. The information loss rate DS is subtracted from the SQRT(FL×(ZQ+XL))" calculation part to deduct the amount of valid information that failed to be uploaded to the chain due to information loss. By introducing the negative adjustment term of the information loss rate DS, the calculation of the amount of forest pest information uploaded to the chain LL is closer to reality, thereby improving the accuracy and practicality of the algorithm.

[0117] In this algorithm unit, the number of forest pests found FL is used as the key parameter to reflect the actual occurrence of forest pests. By accurately recording the number of forest pests found FL, the system can achieve accurate monitoring and early warning of forest pests, providing strong support for subsequent prevention and control work. The introduction of the information accuracy index ZQ and the information processing efficiency index XL ensures that the information uploaded to the blockchain is both accurate and efficient, which not only reduces the upload of invalid and redundant information, but also improves the overall quality of information, making subsequent information analysis and utilization more efficient. Finally, the consideration of the information loss rate DS enables the system to flexibly adjust the information chain strategy according to actual conditions, thereby reducing information loss caused by technical and human reasons. This helps to maintain the integrity and continuity of information and provide reliable data support for long-term forest pest management.

[0118] See also Figures 1 to 4 The calculation formula for evaluating the efficiency and cost unit of transmitting forestry harmful information between parallel chains is as follows:

[0119] CL=(LL×YS+LL prev × CFL) / (1+SQRT(YC+LY))-GC;

[0120] YS=Y1 / Y2;

[0121] CFL=CF / Z;

[0122] in:

[0123] CL is the information transmission efficiency between parallel chains;

[0124] YS is the information compression rate, which indicates the degree of information compression during transmission and has a value range of 0 to 1;

[0125] Y1 is the size of the data after compression, and Y2 is the size of the data before compression;

[0126] LL prev The amount of forest pest information uploaded to the chain in the previous time;

[0127] CFL is the information repetition rate, which indicates the degree of repetition of information in multiple transmissions and has a value range of 0 to 1;

[0128] CF is the number of repeated information;

[0129] YC is the data transmission delay;

[0130] LY is the inter-chain communication delay, which indicates the time required to establish communication between different parallel chains;

[0131] GC is a fixed cost, which includes energy consumption during the transmission process and maintenance costs.

[0132] In this embodiment, first, "(LL×YS+LL prev × CFL)” calculation part, the forest pest information chain-linked amount LL is multiplied by the information compression rate YS, and the previous forest pest information chain-linked amount LL prev Multiplying it by the information repetition rate CFL and adding the two results together aims to comprehensively consider the current and previous information transmission volume, compression degree and repetition degree, so as to obtain a more comprehensive and accurate evaluation value of the information transmission efficiency between parallel chains. This calculation part is the core of evaluating the efficiency and cost unit of forestry harmful information transmission between parallel chains, which directly determines the size of the information transmission efficiency CL between parallel chains. By adjusting the values ​​of the information compression rate YS and the information repetition rate CFL, it can indirectly affect the result of the information transmission efficiency CL between parallel chains, thereby optimizing the output of the entire algorithm.

[0133] The calculation part of "(1+SQRT(YC+LY))" adds 1 to the data transmission delay YC and the inter-chain communication delay LY in order to take the delay time into consideration, so as to more accurately evaluate the efficiency of information transmission. This calculation part is part of the denominator of the calculation formula of the information transmission efficiency CL between parallel chains. By introducing the delay time, the calculation of the information transmission efficiency CL between parallel chains is more comprehensive and accurate. prevThe fixed cost GC is subtracted from the result of "×CFL) / (1+SQRT(YC+LY))" in order to deduct the fixed cost GC generated by transmission, so as to obtain a transmission efficiency evaluation value that is closer to reality. By introducing the negative adjustment term of fixed cost GC, the calculation of information transmission efficiency CL between parallel chains is closer to reality, thereby improving the accuracy and practicality of the algorithm.

[0134] Among them, this algorithm unit introduces data transmission delay YC and inter-chain communication delay LY, allowing the system to more accurately assess the delay in the transmission process. By optimizing the transmission path and speed, the system can ensure the real-time and accuracy of information, providing timely and reliable data support for subsequent decision-making;

[0135] Reasonable settings of the information compression rate YS and the information repetition rate CFL reduce information redundancy and repeated transmission, which not only reduces energy consumption and maintenance costs during transmission, but also improves the system's information processing capabilities, enabling the system to respond to and process large amounts of forest pest information more quickly;

[0136] The design of the unit for evaluating the efficiency and cost of transmitting forest pest information between parallel chains enables the system to easily add new parallel chains and adjust the parameters of existing parallel chains, which helps support multi-chain collaboration, thereby improving the overall performance and efficiency of the system and providing more comprehensive and in-depth information support for forest pest management.

[0137] See also Figures 1 to 4 The calculation formula for the unit that fully reflects the relay chain's performance in terms of security and cost-effectiveness is as follows:

[0138] AC=CL×A-JM×SQRT(YZC+FC)+LL prev ×JB;

[0139] JB=ZJ / TC;

[0140] in:

[0141] AC is the comprehensive index of relay chain security and cost-effectiveness;

[0142] A is the security factor, which represents the relay chain's ability to ensure the security of information transmission, and its value ranges from 0 to 1;

[0143] JM is the encryption cost, including the selection of encryption algorithms and the costs incurred in key management;

[0144] YZC is the verification cost, which represents the cost of verifying the authenticity and integrity of information;

[0145] FC is the risk cost, which reflects the potential losses caused by security vulnerabilities and attacks;

[0146] LL prev is the total amount of forest pest information on the chain, LL prev Reflects the total amount of forest pest information recorded in the entire blockchain network, and is regarded as the sum of the forest pest information on-chain LL on all parallel chains;

[0147] JB is the value return rate, which represents the value return brought by improving the efficiency of forest pest information management through blockchain technology;

[0148] ZJ is the total value benefit, TC is the total input cost;

[0149] The calculation formula of safety factor A is as follows:

[0150] ;

[0151] n is the total number of security indicators, including the strength of the encryption algorithm, the security of key management, and the attack and defense capabilities.

[0152] a i is the weight of the i-th security indicator. Based on the system settings, the strength of the encryption algorithm, the security of key management, and the attack and defense capability indicators are prioritized and ranked. The sum of the weights of the strength of the encryption algorithm, the security of key management, and the attack and defense capability indicators is 1.

[0153] p i The i-th security indicator score reflects the known scores of indicators stored in the system regarding the strength of the encryption algorithm, the security of key management, and the attack defense capability.

[0154] In this embodiment, the "CL×A" calculation part first multiplies the inter-parachain information transmission efficiency CL by the security factor A, aiming to comprehensively consider information transmission efficiency and security, thereby obtaining a more comprehensive and accurate relay chain security assessment value. This calculation part is one of the core units that comprehensively reflect the performance of the relay chain in terms of security and cost-effectiveness, and directly determines a part of the result of the relay chain security and cost-effectiveness comprehensive index AC. By improving the values ​​of the inter-parachain information transmission efficiency CL and the security factor A, the result of the relay chain security and cost-effectiveness comprehensive index AC can be indirectly improved, thereby optimizing the output of the entire algorithm.

[0155] The "JM×SQRT(YZC+FC)" calculation multiplies the verification cost YZC by the risk cost FC and adds the value return rate JB. This aims to comprehensively consider various security-related costs to obtain a more comprehensive and accurate security cost assessment value. This calculation part serves as one of the negative adjustment items in the formula for calculating the relay chain security and cost-effectiveness comprehensive index AC. By introducing security costs, the calculation of the relay chain security and cost-effectiveness comprehensive index AC is made more comprehensive and accurate.

[0156] “LL prev ×JB” calculation part will be the amount of forest pest information uploaded to the chain last time LL prev Multiplying it with the value return rate JB is intended to comprehensively consider the richness of information and the value return rate, thereby obtaining a more comprehensive and accurate value return assessment value. This calculation part is another core unit that fully reflects the performance of the relay chain in terms of security and cost-effectiveness, and directly determines another part of the result of the relay chain security and cost-effectiveness comprehensive index AC. It also increases the amount of forest pest information on the chain LL in the previous time. prev The value of the value return rate JB can indirectly improve the results of the relay chain security and cost-effectiveness comprehensive index AC, thereby optimizing the output of the entire algorithm. At the same time, it also reflects the importance of information richness and value return to the comprehensive evaluation of relay chain security and cost-effectiveness;

[0157] In this algorithm unit, the optimization of the security factor A, encryption cost JM, and verification cost YZC enables the system to more effectively resist security threats and attacks. By strengthening encryption and verification measures, the system can ensure the integrity and authenticity of forest pest information and provide reliable data support for subsequent decision-making. The consideration of risk cost FC and value return rate JB enables the system to reduce operating costs while ensuring security. By reasonably controlling encryption cost JM and verification cost YZC, the system can improve overall economic benefits and provide a more economical and efficient solution for forest pest management.

[0158] The relay chain security and cost-effectiveness comprehensive index AC of this algorithm is used as a comprehensive evaluation indicator, which can intuitively reflect the security and cost-effectiveness of the relay chain. This provides strong data support for the system and helps to formulate more scientific, reasonable and long-term forest pest management strategies.

[0159] In summary, the comprehensive provision of forest pest information basic units, the evaluation of the efficiency and cost units of forest pest information transmission between parallel chains, and the comprehensive reflection of the relay chain's performance in terms of security and cost-effectiveness and its parameters play an important role and beneficial effect in the forest pest information integrated management system and method. They not only improve the accuracy and efficiency of information, but also optimize resource allocation and transmission paths, reduce operating costs, and ensure the security and integrity of information. These beneficial effects jointly promote the development of forest pest management towards a more intelligent, efficient and sustainable direction.

[0160] For example 2, please refer to Figures 1 to 4 The analysis and management steps based on the relay chain security and cost-effectiveness comprehensive index AC are as follows:

[0161] S1: Collect the values ​​of the relay chain security and cost-effectiveness comprehensive index AC based on time series;

[0162] S2: Draw a line graph of the relay chain security and cost-effectiveness comprehensive index AC calculated at different management times according to the order of the time series, with the X-axis of the line graph representing time and the Y-axis representing the value of the relay chain security and cost-effectiveness comprehensive index AC;

[0163] S3: Observe the changing trend of the relay chain security and cost-effectiveness comprehensive index AC on the line chart, and find the points on the line chart that are close to or equal to the current output relay chain security and cost-effectiveness comprehensive index AC, and regard them as historical similarities;

[0164] S4: Based on the measures taken at historical similarities, formulate management measures for the current output relay chain security and cost-effectiveness comprehensive index A, as follows:

[0165] If measures to improve monitoring efficiency are taken at the same historical point, and the relay chain security and cost-effectiveness index AC shows an upward trend after the same historical point, then the measures are considered effective and measures to improve monitoring efficiency should be implemented at present;

[0166] On the contrary, if measures to improve monitoring efficiency are taken at the same historical point, but the relay chain security and cost-effectiveness comprehensive index AC shows a downward trend after the same historical point, then the measures are considered ineffective and measures to optimize the current information processing process should be implemented;

[0167] If measures to optimize the information processing flow are taken at the same historical point, and the relay chain security and cost-effectiveness comprehensive index AC shows an upward trend after the same historical point, then the measures are considered effective and the current measures to optimize the information processing flow should be implemented;

[0168] On the contrary, if measures to optimize the information processing process were taken at the same historical point, but the relay chain security and cost-effectiveness comprehensive index AC showed a downward trend after the same historical point, then the measures are considered ineffective and measures to improve monitoring efficiency should be implemented;

[0169] Measures to improve monitoring efficiency will have the impact of increasing the number of forest pests found in the basic unit of comprehensive provision of forest pest information FL;

[0170] Measures to optimize the information processing process will have an impact on increasing the information accuracy index ZQ and the information processing efficiency index XL in the basic unit of comprehensive provision of forest pest information.

[0171] In this embodiment, through the comprehensive evaluation of the relay chain security and cost-effectiveness comprehensive index AC, the system can promptly identify problems in the relay chain in terms of security or cost-effectiveness, and take corresponding countermeasures based on the type of problem. These measures include improving monitoring efficiency and optimizing information processing processes. These adjustments will directly affect the number of forest pests found (FL), the information accuracy index (ZQ), and the information processing efficiency index (XL) in the comprehensive provision of forest pest information basic unit, thereby forming a closed-loop feedback mechanism.

[0172] With the continuous evaluation and feedback adjustment of the relay chain security and cost-effectiveness comprehensive index AC, the system can gradually optimize its monitoring and information processing processes, improve overall performance and efficiency. This continuous optimization will make the system more adaptable to the ever-changing needs of forest pest control. Moreover, through the comprehensive evaluation and guidance of decision-making based on the relay chain security and cost-effectiveness comprehensive index AC, the system can more scientifically allocate resources, optimize monitoring layout and processing processes, thereby improving the efficiency and effectiveness of forest pest control. This scientific decision-making will help reduce control costs, improve control effectiveness, and promote the sustainable development of forest pest information management.

[0173] In summary, this method allows for a more scientific and systematic observation and analysis of the changing trends of the relay chain security and cost-effectiveness composite index AC, and guides future policy adjustments based on historical experience and data. This not only helps improve the performance and security of the relay chain, but also optimizes resource allocation and reduces cost-effectiveness.

[0174] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An information-based integrated management system for forestry pests, characterized in that: A comprehensive management system for blockchains including parachains and relay chains; It includes a data collection module, a data processing module, and a visualization adjustment and optimization module. The data processing module includes a basic unit for comprehensively providing forest pest information, a unit for evaluating the efficiency and cost of transmitting forest pest information between parallel chains, and a unit for comprehensively reflecting the performance of the relay chain in terms of security and cost-effectiveness. Data collection module: Based on blockchain, it is responsible for collecting monitoring data related to the integrated management of forest pests. The monitoring data includes the number of forest pests found FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, and the amount of forest pest information on the chain LL. prev , information repetition rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security factor A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB; Comprehensively provide forest pest information basic unit: responsible for calculating and outputting forest pest information on-chain volume LL; Evaluate the efficiency and cost of transmitting forestry harmful information between parallel chains: Responsible for calculating the output of the information transmission efficiency CL between parallel chains; Comprehensively reflects the performance of the relay chain in terms of security and cost-effectiveness: responsible for calculating and outputting the relay chain security and cost-effectiveness comprehensive index AC; Visualization Adjustment and Optimization Module: This module is responsible for plotting the relay chain security and cost-effectiveness comprehensive index AC in the time series into a line graph, and finding historical similarities that are close to or equal to the currently output relay chain security and cost-effectiveness comprehensive index AC. Based on the measures taken at these historical similarities, comprehensive management measures are formulated. The calculation formula for the basic unit of comprehensive provision of forest pest information is as follows: LL=SQRT(FL×(ZQ+XL))-DS; ZQ=YT / Z; XL=C / ZD; DS=(YL-ZL) / YL; in: LL is the amount of forest pest information on the blockchain. LL represents the total amount of forest pest information recorded on the blockchain. FL is the number of forest pests found; ZQ is the information accuracy index, which reflects the accuracy of the uploaded information and has a value range of 0 to 1; YT is the number of verified messages, and Z is the total number of messages; XL is the information processing efficiency index, which indicates the speed and quality of information processing and ranges from 0 to 1; C is the number of processed messages, and ZD is the total number of messages to be processed; DS is the information loss rate, which reflects the proportion of information loss caused by technical and human factors; YL is the original information volume, and ZL is the final recorded information volume; The calculation formula for evaluating the efficiency and cost unit of transmitting forestry harmful information between parallel chains is as follows: CL=(LL×YS+LL prev ×CFL) / (1+SQRT(YC+LY))-GC; YS=Y1 / Y2; CFL=CF / Z; in: CL is the information transmission efficiency between parallel chains; YS is the information compression rate, which indicates the degree of information compression during transmission and has a value range of 0 to 1; Y1 is the size of the data after compression, and Y2 is the size of the data before compression; LL prev The amount of forest pest information uploaded to the chain in the previous time; CFL is the information repetition rate, which indicates the degree of repetition of information in multiple transmissions and has a value range of 0 to 1; CF is the number of repeated information; YC is the data transmission delay; LY is the inter-chain communication delay, which indicates the time required to establish communication between different parallel chains; GC is a fixed cost, which includes energy consumption during the transmission process and maintenance costs.

2. The forest pest information integrated management system according to claim 1, characterized in that: The equipment used in the data collection module includes drones and sensors; The equipment used by the data processing module includes high-performance computers and servers, and communication equipment; The devices used by the visualization adjustment and optimization module include visualization devices.

3. The forest pest information integrated management system according to claim 1, characterized in that: The calculation formula for the unit that fully reflects the relay chain's performance in terms of security and cost-effectiveness is as follows: AC=CL×A-JM×SQRT(YZC+FC)+LL prev ×JB; JB=ZJ / TC; in: AC is the comprehensive index of relay chain security and cost-effectiveness; A is the security factor, which represents the relay chain's ability to ensure the security of information transmission, and its value ranges from 0 to 1; JM is the encryption cost, including the selection of encryption algorithms and the costs incurred in key management; YZC is the verification cost, which represents the cost of verifying the authenticity and integrity of information; FC is the risk cost, which reflects the potential losses caused by security vulnerabilities and attacks; LL prev is the total amount of forest pest information on the chain, LL prev Reflects the total amount of forest pest information recorded in the entire blockchain network, and is regarded as the sum of the forest pest information on-chain LL on all parallel chains; JB is the value return rate, which represents the value return brought by improving the efficiency of forest pest information management through blockchain technology; ZJ is the total value benefit and TC is the total input cost.

4. The forest pest information integrated management system according to claim 3, characterized in that: The calculation formula of the safety factor A is as follows: ； n is the total number of security indicators, including the strength of the encryption algorithm, the security of key management, and the attack and defense capabilities. a i is the weight of the i-th security indicator. Based on the system settings, the strength of the encryption algorithm, the security of key management, and the attack and defense capability indicators are prioritized and ranked. The sum of the weights of the strength of the encryption algorithm, the security of key management, and the attack and defense capability indicators is 1. p i The i-th security indicator score reflects the known scores of indicators stored in the system regarding the strength of the encryption algorithm, the security of key management, and the attack defense capability.

5. The forest pest information integrated management system according to claim 3, characterized in that: The analysis and management steps based on the relay chain security and cost-effectiveness comprehensive index AC are as follows: S1: Collect the values ​​of the relay chain security and cost-effectiveness comprehensive index AC based on time series; S2: Draw a line graph of the relay chain security and cost-effectiveness comprehensive index AC calculated at different management times according to the order of the time series, with the X-axis of the line graph representing time and the Y-axis representing the value of the relay chain security and cost-effectiveness comprehensive index AC; S3: Observe the changing trend of the relay chain security and cost-effectiveness comprehensive index AC on the line chart, and find the points on the line chart that are close to or equal to the current output relay chain security and cost-effectiveness comprehensive index AC, and regard them as historical similarities; S4: Based on the measures taken at historical similarities, formulate management measures for the current output relay chain security and cost-effectiveness comprehensive index A, as follows: If measures to improve monitoring efficiency are taken at the same historical point, and the relay chain security and cost-effectiveness index AC shows an upward trend after the same historical point, then the measures are considered effective and measures to improve monitoring efficiency should be implemented at present; On the contrary, if measures to improve monitoring efficiency are taken at the same historical point, but the relay chain security and cost-effectiveness comprehensive index AC shows a downward trend after the same historical point, then the measures are considered ineffective and measures to optimize the current information processing process should be implemented; If measures to optimize the information processing flow are taken at the same historical point, and the relay chain security and cost-effectiveness comprehensive index AC shows an upward trend after the same historical point, then the measures are considered effective and the current measures to optimize the information processing flow should be implemented; On the contrary, if measures are taken to optimize the information processing flow at the same historical point, but the relay chain security and cost-effectiveness comprehensive index AC shows a downward trend after the same historical point, then the measures are considered ineffective and measures to improve monitoring efficiency should be taken at present.

6. The forest pest information integrated management system according to claim 5, characterized in that: The measures to improve monitoring efficiency will increase the number of forest pests found in the basic unit of comprehensive provision of forest pest information FL; The measures to optimize the information processing process will have the effect of increasing the information accuracy index ZQ and the information processing efficiency index XL in the basic unit of comprehensive provision of forest pest information.

7. The integrated management method of the forest pest information integrated management system according to claim 1, characterized in that: Here are the steps: Step I: Using blockchain technology and the data collection module, collect monitoring data related to the integrated management of forest pests. The monitoring data includes the number of forest pests found FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, and the amount of forest pest information on the chain LL. prev , information repetition rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security factor A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB; Step II: Using the data processing module, calculate the output forest pest information on-chain volume LL, the information transmission efficiency between parallel chains CL, and the relay chain security and cost-effectiveness comprehensive index AC in sequence; Step III: Based on the relay chain security and cost-effectiveness comprehensive index AC, and using the visualization adjustment and optimization module, the relay chain security and cost-effectiveness comprehensive index AC in the time series is plotted into a line graph, and historical similarities are found that are similar to or equal to the currently output relay chain security and cost-effectiveness comprehensive index AC. Based on the measures taken at the historical similarities, comprehensive management measures are formulated.

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