Forestry pest informatization comprehensive management system and method

Abstract

The invention discloses a forestry pest informatization comprehensive management system and method, and relates to the technical field of forestry pest informatization comprehensive management based on a block chain, and the system is based on the block chain and is responsible for collecting monitoring data of forestry pest related comprehensive management, calculating and outputting forestry pest information uplink quantity LL, and determining the forestry pest information uplink quantity LL. The method comprises the following steps of: drawing a linear graph according to information transmission efficiency CL between parallel chains and a relay chain safety and cost-benefit comprehensive index AC, searching historical identical points similar to and equal to the currently output relay chain safety and cost-benefit comprehensive index AC, and formulating comprehensive management measures according to measures taken by the historical identical points. According to the forestry pest management system and method, the accuracy and efficiency of information are improved, the resource distribution and transmission path is optimized, the operation cost is reduced, the safety and integrity of the information are ensured, and the beneficial effects jointly promote the forestry pest management to develop towards a more intelligent, efficient and sustainable direction.

Description

Technical Field

[0001] The present invention relates to the technical field of informatized integrated management of forestry pests based on blockchain, and specifically provides a forestry pest informatized integrated management system and method. Background Technique

[0002] Forestry pests pose a serious threat to forest resources. They not only affect the normal growth of forest trees but also may lead to the imbalance of the forest ecosystem. Therefore, it is particularly important to monitor and manage forestry pests in a timely, accurate, and effective manner. With the continuous development of information technology, especially the wide application of the Internet, big data, cloud computing, and Internet of Things technologies, strong technical support is provided for the informatized management of forestry pests. These technologies can realize the real-time collection, transmission, storage, analysis, and application of forestry pest information, thereby greatly improving management efficiency and control effects.

[0003] However, the existing forestry pest information management methods often adopt centralized storage, resulting in serious information island phenomena. Data cannot be shared between different departments and regions, causing data inconsistency and duplicate labor. Moreover, due to the centralized storage of information, once the data center is attacked or fails, data loss and leakage will occur, which will seriously affect the forestry pest prevention and control work. During the information transmission process, 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 forestry pests in a timely manner. In addition, the existing information management systems often lack an effective feedback mechanism and cannot adjust monitoring and treatment strategies in a timely manner according to information changes. Summary of the Invention

[0004] The purpose of the present invention is to provide a forestry pest informatized integrated management system to solve the problems raised in the above background technique.

[0005] To achieve the above purpose, the present invention provides a forestry pest informatized integrated management system, including an integrated management system of a blockchain including a parallel chain and a relay chain; It includes a data collection module, a data processing module, and a visualization adjustment and optimization module. Among them, the data processing module includes a basic unit for comprehensively providing forestry pest information, a unit for evaluating the efficiency and cost of transmitting forestry 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 the blockchain and responsible for collecting monitoring data related to the integrated management of forestry pests. The monitoring data includes the number of forestry pests found FL, the information accuracy index ZQ, the information processing efficiency index XL, the information loss rate DS, the information compression rate YS, and the amount of the previous forestry pest information uploaded to the chain LL prev, Information duplication rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security coefficient A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB; Comprehensively provide the basic unit of forestry pest information: responsible for calculating and outputting the amount of forestry pest information uploaded to the chain LL; Evaluate the efficiency and cost of transmitting forestry pest information between parallel chains unit: responsible for calculating and outputting the information transmission efficiency CL between parallel chains; Fully reflect the performance of the relay chain in terms of security and cost-effectiveness unit: responsible for calculating and outputting the comprehensive index AC of the relay chain's security and cost-effectiveness; Visualization adjustment and optimization module: responsible for plotting the comprehensive index AC of the relay chain's security and cost-effectiveness in the time series as a line graph, and finding the historical same points that are similar to and equal to the currently output comprehensive index AC of the relay chain's security and cost-effectiveness, and formulating comprehensive management measures based on the measures taken at the historical same points; The devices used by the data collection module include drones and sensors; The devices used by the data processing module include high-performance computers, servers, and communication devices; The devices used by the visualization adjustment and optimization module include visualization devices.

[0006] Optionally, the calculation formula of the comprehensively providing the basic unit of forestry pest information is as follows: LL = SQRT(FL × (ZQ + XL)) - DS; ZQ = YT / Z; XL = C / ZD; DS = (YL - ZL) / YL; Where: LL is the amount of forestry pest information uploaded to the chain, and LL represents the total amount of forestry pest information recorded on the blockchain; FL is the number of forestry pests discovered; ZQ is the information accuracy index, ZQ reflects the accuracy of the uploaded information, and the value range is from 0 to 1; YT is the number of information verified and passed, and Z is the total number of information; XL is the information processing efficiency index, XL represents the speed and quality of information processing, and the value range is from 0 to 1; C is the number of processed information, and ZD is the total number of information to be processed; DS is the information loss rate, and DS reflects the proportion of information loss caused by technical and human reasons; YL is the original amount of information, and ZL is the finally recorded amount of information.

[0007] Optionally, the calculation formula for the unit evaluating the efficiency and cost 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; Where: CL is the information transmission efficiency between parallel chains; YS is the information compression ratio, which represents the degree of information compression during the transmission process, and its value range is from 0 to 1; Y1 is the size of the compressed data, and Y2 is the size of the data before compression; LL prev is the amount of forestry pest information uploaded to the chain last time; CFL is the information repetition rate, which represents the degree of information repetition during multiple transmissions, and its value range is from 0 to 1; CF is the number of repeated information; YC is the data transmission delay; LY is the inter-chain communication delay, which represents the time required to establish communication between different parallel chains; GC is the fixed cost, which includes energy consumption and maintenance costs during the transmission process.

[0008] Optionally, the calculation formula for the unit comprehensively reflecting the performance of the relay chain in terms of security and cost-effectiveness is as follows: AC=CL×A-JM×SQRT(YZC+FC)+LL prev ×JB; JB=ZJ / TC; Where: AC is the comprehensive index of relay chain security and cost-effectiveness; A is the security coefficient, which represents the ability of the relay chain to ensure the security of information transmission, and its value range is from 0 to 1; JM is the encryption cost, including the cost generated by the selection of encryption algorithms and 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 forestry pest information uploaded to the chain, LL prev reflects the total amount of forestry pest information recorded in the entire blockchain network, and is regarded as the sum of the amounts of forestry pest information uploaded to the chain LL on all parallel chains; JB is the value return rate, and JB represents the value return brought by improving the efficiency of forest pest information management through blockchain technology; ZJ is the total value return, and TC is the total input cost.

[0009] Optionally, the calculation formula of the security coefficient A is as follows: ; n is the total amount of security indicators, and n includes the strength of encryption algorithms, the security of key management, and the amount of indicators in terms of attack defense capabilities; a i is the weight of the i-th security indicator. Specifically, according to the system settings, the amount of indicators in terms of the strength of encryption algorithms, the security of key management, and the attack defense capabilities is ranked with emphasis, and the weights of the amount of indicators in terms of the strength of encryption algorithms, the security of key management, and the attack defense capabilities add up to 1; p i is the score of the i-th security indicator, reflecting the known scores of the amount of indicators in terms of the strength of encryption algorithms, the security of key management, and the attack defense capabilities stored in the system.

[0010] Optionally, the analysis and management steps based on the comprehensive index AC of relay chain security and cost - benefit are as follows: S1: Collect the values of the comprehensive index AC of relay chain security and cost - benefit according to the time series; S2: According to the order of the time series, draw a line graph of the comprehensive index AC of relay chain security and cost - benefit calculated and output at different management times. The X - axis of the line graph represents time, and the Y - axis represents the value of the comprehensive index AC of relay chain security and cost - benefit; S3: Observe the change trend of the comprehensive index AC of relay chain security and cost - benefit on the line graph, and on the line graph, find the points that are close to and equal to the currently output comprehensive index AC of relay chain security and cost - benefit, and regard them as historical same points; S4: Formulate the management measures for the currently output comprehensive index A of relay chain security and cost - benefit according to the measures taken at the historical same points, specifically as follows: If measures to improve the monitoring efficiency were taken at the historical same point, and the comprehensive index AC of relay chain security and cost - benefit shows an upward trend after the historical same point, it is considered that the measures are effective, and currently, measures to improve the monitoring efficiency should be taken; Conversely, if measures to improve the monitoring efficiency were taken at the historical same point, but the comprehensive index AC of relay chain security and cost - benefit shows a downward trend after the historical same point, it is considered that the measures are ineffective, and currently, measures to optimize the information processing flow should be taken; If measures to optimize the information processing flow were taken at the same historical point, and the comprehensive index AC of the relay chain security and cost - effectiveness showed an upward trend after the same historical point, then the measures are considered effective, and when it comes to the measures to optimize the information processing flow currently; On the contrary, if measures to optimize the information processing flow were taken at the same historical point, but the comprehensive index AC of the relay chain security and cost - effectiveness showed a downward trend after the same historical point, then the measures are considered ineffective, and when it comes to the measures to improve the monitoring efficiency currently.

[0011] Optionally, the measures to improve the monitoring efficiency will affect an increase in the number of forestry pest discoveries FL in the basic unit for comprehensively providing forestry pest information; The measures to optimize the information processing flow will affect an increase in the information accuracy index ZQ and the information processing efficiency index XL in the basic unit for comprehensively providing forestry pest information.

[0012] The present invention also provides a comprehensive information management method for forestry pests, and the specific implementation steps are as follows: Step I: Using blockchain technology and the data collection module, collect the monitoring data related to the comprehensive management of forestry pests. The monitoring data includes the number of forestry pest discoveries FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, the previous amount of forestry pest information uploaded to the chain LL prev , information repetition rate CFL, data transmission delay YC, inter - chain communication delay LY, fixed cost GC, security coefficient A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB; Step II: Using the data processing module, calculate and output in sequence the amount of forestry pest information uploaded to the chain LL, the information transmission efficiency CL between parallel chains, and the comprehensive index AC of the relay chain security and cost - effectiveness; Step III: Based on the comprehensive index AC of the relay chain security and cost - effectiveness, and using the visualization adjustment and optimization module, plot the comprehensive index AC of the relay chain security and cost - effectiveness in the time series as a line graph, and find the historical same points that are close to and equal to the currently output comprehensive index AC of the relay chain security and cost - effectiveness. According to the measures taken at the historical same points, formulate comprehensive management measures.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: I. By constructing parallel chains, the present invention realizes the distributed storage and sharing of forestry pest information. Data between different departments and regions can be synchronized in real time, avoiding the problems of information silos and data inconsistency. Combining blockchain technology with the informatization management of forestry pests 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 forestry pest prevention and control work.

[0014] II. The present invention utilizes the immutability and encryption algorithm of blockchain technology to ensure the security of forestry pest information, thereby preventing the risks of data leakage and tampering.

[0015] III. The present invention evaluates the information transmission efficiency CL between parallel chains for transmitting forestry harmful information and calculating the cost per unit, and adjusts the information compression ratio YS and the information repetition rate CFL according to the results, thereby effectively reducing the redundancy and delay of information transmission and improving the information transmission efficiency.

[0016] IV. The present invention calculates the comprehensive index AC of the security and cost - effectiveness of the relay chain by comprehensively reflecting the performance unit of the relay chain in terms of security and cost - effectiveness, and adjusts the monitoring efficiency and information processing flow according to the results, forming a closed - loop feedback mechanism. By observing the change trend of the comprehensive index AC of the security and cost - effectiveness of the relay chain and the measures taken at the same historical points in combination with line graphs, it is possible to discover and take measures for optimization in a timely manner, thereby improving the overall performance and response speed of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the method flow chart of the comprehensive management method for forestry pest informatization; Figure 2 is the schematic diagram for formulating the process of measure management in the comprehensive management system for forestry pest informatization; Figure 3 is the schematic diagram of the structure of the data processing module of the present invention; Figure 4 is the linear schematic diagram of the comprehensive index AC of the security and cost - effectiveness of the relay chain in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0019] Regarding this integrated information management system and method for forestry pests, it is different from the existing information recording and management methods. The existing methods have problems such as information silos, data inconsistency, and insufficient security, and lack an effective feedback mechanism, making it impossible to adjust monitoring and treatment strategies in a timely manner according to information changes. However, 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.

[0020] Example 1. Please refer to Figures 1 to 4 , this example provides an integrated information management system for forestry pests, which is an integrated management system of blockchain including a parallel chain and a relay chain; It includes a data collection module, a data processing module, and a visualization adjustment and optimization module. Among them, the data processing module includes a basic unit for comprehensively providing forestry pest information, a unit for evaluating the efficiency and cost of transmitting forestry pest information between parallel chains, and a unit for comprehensively reflecting the performance of the relay chain in terms of security and cost-effectiveness; The specific implementation is as follows: Data collection module: Based on the blockchain and responsible for collecting monitoring data related to the integrated management of forestry pests. The monitoring data includes the number of forestry pests found FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, the amount of the previous forestry pest information uploaded to the chain LL prev , information duplication rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security coefficient A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB; Basic unit for comprehensively providing forestry pest information: Responsible for calculating and outputting the amount of forestry pest information uploaded to the chain LL; Unit for evaluating the efficiency and cost of transmitting forestry pest information between parallel chains: Responsible for calculating and outputting the information transmission efficiency CL between parallel chains; Unit for comprehensively reflecting the performance of the relay chain in terms of security and cost-effectiveness: Responsible for calculating and outputting the comprehensive index AC of relay chain security and cost-effectiveness; Visualization adjustment and optimization module: Responsible for plotting the comprehensive index AC of relay chain security and cost-effectiveness in the time series as a line graph, finding historical identical points that are close to and equal to the currently output comprehensive index AC of relay chain security and cost-effectiveness, and formulating comprehensive management measures based on the measures taken at the historical identical points; The devices used in the data collection module include drones and sensors; The devices used by the data processing module include high-performance computers, servers, and communication devices; The devices used by the visualization adjustment and optimization module include visualization devices.

[0021] Please refer to Figures 1 to 4 , this implementation also provides a comprehensive information management method for forestry pests, including a comprehensive management method of blockchain with parallel chains and relay chains. The specific implementation steps are as follows: Step I: Using blockchain technology and the data collection module, collect the monitoring data related to the comprehensive management of forestry pests. The monitoring data includes the number of forestry pests found FL, the information accuracy index ZQ, the information processing efficiency index XL, the information loss rate DS, the information compression rate YS, the previous amount of forestry pest information uploaded to the chain LL prev , the information repetition rate CFL, the data transmission delay YC, the inter-chain communication delay LY, the fixed cost GC, the security coefficient A, the encryption cost JM, the verification cost YZC, the risk cost FC, and the value return rate JB; Step II: Using the data processing module, calculate and output in sequence the amount of forestry pest information uploaded to the chain LL, the information transmission efficiency CL between parallel chains, and the comprehensive index AC of the security and cost-benefit of the relay chain; Step III: Based on the comprehensive index AC of the security and cost-benefit of the relay chain, and using the visualization adjustment and optimization module, plot the comprehensive index AC of the security and cost-benefit of the relay chain in the time series as a line graph, and find the historical same points that are close to and equal to the currently output comprehensive index AC of the security and cost-benefit of the relay chain. According to the measures taken at the historical same points, formulate comprehensive management measures.

[0022] In this embodiment, the system constitutes the core algorithm framework of the information-based integrated management system for forestry pests based on blockchain through the mutual cooperation of three algorithm units and in combination with the calculation results of LL, CL, and AC. Specifically, LL is the amount of forestry pest information uploaded to the blockchain, which can more accurately evaluate and determine which information should be recorded on the blockchain to ensure the effectiveness and reliability of the information. CL is the information transmission efficiency between parallel chains, which 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 the rapid and accurate sharing of forestry pest information. AC is the comprehensive index of relay chain security and cost-benefit, which can more comprehensively reflect the performance of the relay chain in terms of security and cost-benefit and provide strong data support for the system. This helps optimize the configuration and management of the relay chain, improve the security and efficiency of information transmission, and reduce operating costs at the same time. Moreover, the calculation result of AC can also affect the calculations of LL and CL, making the three algorithms in this system highly correlated and intertwined. The feedback measures will improve the scientificity and accuracy of decision-making, optimize resource allocation, reduce cost-benefit, and promote continuous improvement. These effects are closely related to the parameters calculated in LL, CL, and AC, jointly constituting a comprehensive evaluation system for the performance and security of the relay chain.

[0023] Please refer to Figures 1 to 4 , and the calculation formulas for the basic units of forestry pest information are as follows: LL = SQRT(FL × (ZQ + XL)) - DS; ZQ = YT / Z; XL = C / ZD; DS = (YL - ZL) / YL; Where: LL is the amount of forestry pest information uploaded to the blockchain, and LL represents the total amount of forestry pest information recorded on the blockchain; FL is the number of forestry pests discovered; ZQ is the information accuracy index, and ZQ reflects the accuracy of the uploaded information, with a value range of 0 to 1; YT is the number of information verified to be passed, and Z is the total number of information; XL is the information processing efficiency index, and XL represents the speed and quality of information processing, with a value range of 0 to 1; C is the number of processed information, and ZD is the total number of information to be processed; DS is the information loss rate, and DS reflects the proportion of information loss caused by technical and human reasons; YL is the original amount of information, and ZL is the final recorded amount of information.

[0024] In this embodiment: First, the calculation part of "SQRT(FL×(ZQ+XL))" in this algorithm unit aims to comprehensively consider the number of forestry pests found FL, the information accuracy index ZQ, and the information processing efficiency index XL, so as to obtain a more comprehensive and accurate evaluation value of the amount of forestry pest information uploaded to the chain. This calculation part is the core of the basic unit for comprehensively providing forestry pest information and directly determines the size of the amount of forestry pest information uploaded to the chain LL, thereby optimizing the output of the entire algorithm. Subtracting the information loss rate DS from the calculation part of "SQRT(FL×(ZQ+XL))" is to deduct the number of valid information that fails to be uploaded due to information loss. By introducing this negative adjustment term of the information loss rate DS, the calculation of the amount of forestry pest information uploaded to the chain LL is made closer to the actual situation, improving the accuracy and practicality of the algorithm; In this algorithm unit, the number of forestry pests found FL is used as a key parameter, which reflects the actual occurrence of forestry pests. By accurately recording the number of forestry pests found FL, the system can achieve precise monitoring and early warning of forestry 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. This not only reduces the upload of invalid and redundant information but also improves the overall quality of the information, making subsequent information analysis and utilization more efficient. Finally, considering the information loss rate DS enables the system to flexibly adjust the information upload strategy according to the actual situation, thereby reducing information losses caused by technical and human reasons. This helps to maintain the integrity and continuity of the information and provides reliable data support for long-term forestry pest management.

[0025] Please refer to Figures 1 to 4 , the calculation formula for the unit evaluating the efficiency and cost of transmitting forestry pest information between parallel chains is as follows: CL=(LL×YS+LL prev ×CFL) / (1+SQRT(YC+LY))-GC; YS=Y1 / Y2; CFL=CF / Z; Where: CL is the information transmission efficiency between parallel chains; YS is the information compression rate. YS represents the degree of compression of information during transmission, and its value range is from 0 to 1; Y1 is the size of the compressed data, and Y2 is the size of the data before compression; LL prev is the previous amount of forestry pest information uploaded to the chain; CFL is the information repetition rate. CFL represents the degree of repetition of information during multiple transmissions, and its value range is from 0 to 1; CF is the number of duplicate information; YC is the data transmission delay; LY is the inter-chain communication delay, and LY represents the time required to establish communication between different parallel chains; GC is the fixed cost, which includes the energy consumption and maintenance cost during the transmission process.

[0026] In this embodiment, first, in the calculation part of "(LL×YS + LL prev ×CFL)", the amount of forestry pest information uploaded to the chain LL is multiplied by the information compression rate YS, and the previous amount of forestry pest information uploaded to the chain LL prev is multiplied by the information repetition rate CFL, and the results of the two parts are added together. The purpose is to comprehensively consider the current and previous information transmission amounts, compression degrees, and repetition degrees, 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 the unit for evaluating the efficiency and cost of transmitting forestry pest information between parallel chains, directly determining the size of the information transmission efficiency CL between parallel chains. And by adjusting the values of the information compression rate YS and the information repetition rate CFL, the result of the information transmission efficiency CL between parallel chains can be indirectly affected, thereby optimizing the output of the entire algorithm; In the calculation part of "(1 + SQRT(YC + LY))", 1 is added 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 information transmission efficiency. This calculation part is part of the denominator of the formula for calculating the information transmission efficiency CL between parallel chains. By introducing the delay time, the calculation of the information transmission efficiency CL between parallel chains becomes more comprehensive and accurate. And subtracting the fixed cost GC from the result of "(LL×YS + LL prev ×CFL) / (1 + SQRT(YC + LY))" is to deduct the fixed cost GC generated due to transmission, so as to obtain a transmission efficiency evaluation value closer to the actual situation. By introducing this negative adjustment term of the fixed cost GC, the calculation of the information transmission efficiency CL between parallel chains is closer to the actual situation, thereby improving the accuracy and practicality of the algorithm; Among them, by introducing the data transmission delay YC and the inter-chain communication delay LY in this algorithm unit, the system can more accurately evaluate the delay situation during 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; The reasonable setting of the information compression rate YS and the information repetition rate CFL reduces the redundancy and repeated transmission of information. This not only reduces the energy consumption and maintenance cost during the transmission process, but also improves the information processing ability of the system, enabling the system to respond and process a large amount of forestry pest information faster; The design of the unit for evaluating the efficiency and cost of transmitting forestry harmful 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 collaborative work, thereby improving the overall performance and efficiency of the system, and providing more comprehensive and in-depth information support for forestry pest management.

[0027] Please refer to Figures 1 to 4 , the calculation formula for the unit comprehensively reflecting the performance of the relay chain in terms of security and cost-effectiveness is as follows: AC = CL × A - JM × SQRT(YZC + FC) + LL prev × JB; JB = ZJ / TC; Where: AC is the comprehensive index of relay chain security and cost-effectiveness; A is the security coefficient, A represents the ability of the relay chain to ensure the security of information transmission, and its value range is from 0 to 1; JM is the encryption cost, including the cost of selecting encryption algorithms and key management; YZC is the verification cost, YZC represents the cost of verifying the authenticity and integrity of information; FC is the risk cost, FC reflects the potential losses caused by security vulnerabilities and attacks; LL prev is the total amount of forestry pest information uploaded to the chain, LL prev reflects the total amount of forestry pest information recorded in the entire blockchain network, and is regarded as the sum of the amounts of forestry pest information uploaded to the chain LL on all parallel chains; JB is the value return rate, JB represents the value return brought by improving the efficiency of forestry pest information management through blockchain technology; ZJ is the total value return, TC is the total input cost; The calculation formula for the security coefficient A is as follows: ; n is the total amount of security indicators, n includes the intensity of encryption algorithms, the security of key management, and the amount of indicators in terms of attack defense capabilities; a i is the weight of the i-th security indicator, specifically set according to the system, focusing on sorting the intensity of encryption algorithms, the security of key management, and the amount of indicators in terms of attack defense capabilities, and the weights of the intensity of encryption algorithms, the security of key management, and the amount of indicators in terms of attack defense capabilities add up to 1; p i is the score of the i-th security indicator, reflecting the known scores of the intensity of encryption algorithms, the security of key management, and the amount of indicators in terms of attack defense capabilities stored in the system.

[0028] In this embodiment, first, the "CL × A" calculation part multiplies the information transmission efficiency CL between parallel chains by the security coefficient A, aiming to comprehensively consider the information transmission efficiency and security, so as to obtain a more comprehensive and accurate evaluation value of the relay chain security. This calculation part is one of the cores of the unit that comprehensively reflects the performance of the relay chain in terms of security and cost-effectiveness, directly determining a part of the result of the comprehensive index AC of the relay chain security and cost-effectiveness. Moreover, by increasing the values of the information transmission efficiency CL between parallel chains and the security coefficient A, the result of the comprehensive index AC of the relay chain security and cost-effectiveness can be indirectly improved, thus optimizing the output of the entire algorithm; In the "JM × SQRT(YZC + FC)" calculation part, the verification cost YZC is multiplied by the risk cost FC and then the value return rate JB is added, aiming to comprehensively consider various costs related to security, so as to obtain a more comprehensive and accurate evaluation value of the security cost. This calculation part is one of the negative adjustment terms in the formula for calculating the comprehensive index AC of the relay chain security and cost-effectiveness. By introducing the security cost, the calculation of the comprehensive index AC of the relay chain security and cost-effectiveness becomes more comprehensive and accurate; “LL prev × JB” calculation part multiplies the previous amount of forestry pest information uploaded to the chain LL prev by the value return rate JB, aiming to comprehensively consider the richness of information and the value return rate, so as to obtain a more comprehensive and accurate evaluation value of the value return. This calculation part is another core of the unit that comprehensively reflects the performance of the relay chain in terms of security and cost-effectiveness, directly determining another part of the result of the comprehensive index AC of the relay chain security and cost-effectiveness. Moreover, by increasing the values of the previous amount of forestry pest information uploaded to the chain LL prev and the value return rate JB, the result of the comprehensive index AC of the relay chain security and cost-effectiveness can be indirectly improved, thus optimizing the output of the entire algorithm. At the same time, it also reflects the importance of the richness of information and the value return in the comprehensive evaluation of the relay chain security and cost-effectiveness; In this algorithm unit, first, the optimization of the security coefficient 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 forestry pest information, providing reliable data support for subsequent decision-making. The consideration of the risk cost FC and value return rate JB enables the system to reduce operating costs while ensuring security. By reasonably controlling the encryption cost JM and verification cost YZC, the system can improve the overall economic efficiency, providing a more economical and efficient solution for forestry pest management; The comprehensive index AC of the relay chain's security and cost - effectiveness 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 further helps to formulate more scientific, reasonable, and long - term forest pest management strategies.

[0029] In summary, comprehensively providing the basic units of forest pest information, evaluating the efficiency and cost units of transmitting forest pest information between parallel chains, and comprehensively reflecting the units and their parameters of the relay chain's performance in terms of security and cost - effectiveness play important roles and beneficial effects in the comprehensive management system and method of forest pest informatization. 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.

[0030] Example 2, please refer to Figures 1 to 4 , and the analysis and management steps based on the comprehensive index AC of the relay chain's security and cost - effectiveness are as follows: S1: Collect the values of the comprehensive index AC of the relay chain's security and cost - effectiveness according to the time series; S2: According to the order of the time series, draw a line graph of the comprehensive index AC of the relay chain's security and cost - effectiveness calculated and output at different management times. The X - axis of the line graph represents time, and the Y - axis represents the value of the comprehensive index AC of the relay chain's security and cost - effectiveness; S3: Observe the change trend of the comprehensive index AC of the relay chain on the line graph, and on the line graph, find the points that are close to and equal to the currently output comprehensive index AC of the relay chain's security and cost - effectiveness, and regard them as historical identical points; S4: Formulate the management measures for the currently output comprehensive index A of the relay chain's security and cost - effectiveness according to the measures taken at the historical identical points, specifically as follows: If measures to improve the monitoring efficiency were taken at the historical identical point, and the comprehensive index AC of the relay chain's security and cost - effectiveness shows an upward trend after the historical identical point, then the measures are considered effective, and measures to improve the monitoring efficiency are taken for the current situation; On the contrary, if measures to improve the monitoring efficiency were taken at the historical identical point, but the comprehensive index AC of the relay chain's security and cost - effectiveness shows a downward trend after the historical identical point, then the measures are considered ineffective, and measures to optimize the information - processing process are taken for the current situation; If measures to optimize the information - processing process were taken at the historical identical point, and the comprehensive index AC of the relay chain's security and cost - effectiveness shows an upward trend after the historical identical point, then the measures are considered effective, and measures to optimize the information - processing process are taken for the current situation; Conversely, if measures to optimize the information processing flow are taken at the same historical points, but the comprehensive index AC of relay chain security and cost - effectiveness shows a downward trend after the same historical points, the measures are considered ineffective, and measures to improve the monitoring efficiency are taken for the current situation; Measures to improve the monitoring efficiency will affect an increase in the number of forestry pest discoveries FL in the basic unit for comprehensively providing forestry pest information; Measures to optimize the information processing flow will affect an increase in the information accuracy index ZQ and the information processing efficiency index XL in the basic unit for comprehensively providing forestry pest information.

[0031] In this embodiment, through the comprehensive evaluation of the comprehensive index AC of relay chain security and cost - effectiveness, the system can timely detect problems in the security or cost - effectiveness of the relay chain, and take corresponding countermeasures according to the problem types. These measures include improving the monitoring efficiency and optimizing the information processing flow. These adjustments will directly affect the parameters of the number of forestry pest discoveries FL, the information accuracy index ZQ, and the information processing efficiency index XL in the basic unit for comprehensively providing forestry pest information, thus forming a closed - loop feedback mechanism; With the continuous evaluation and feedback adjustment of the comprehensive index AC of relay chain security and cost - effectiveness, the system can gradually optimize its monitoring and information processing processes, improve the overall performance and benefits. This continuous optimization will make the system more adaptable to the changing needs of forestry pest control. And through the comprehensive evaluation of the comprehensive index AC of relay chain security and cost - effectiveness and guiding decision - making, the system can more scientifically allocate resources, optimize the monitoring layout and processing flow, thereby improving the efficiency and effectiveness of forestry pest control work. This scientific decision - making will help reduce the control cost, improve the control effect, and promote the sustainable development of forestry pest informatization management work; In summary, through this method, it is possible to more scientifically and systematically observe and analyze the change trend of the comprehensive index AC of relay chain security and cost - effectiveness, and use historical experience and data to guide future strategy adjustments. This not only helps improve the performance and security of the relay chain, but also optimizes resource allocation and reduces cost - effectiveness.

[0032] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it is understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An information-based integrated management system for forestry pests, characterized in that, Integrated Management System for a Blockchain Containing Parallel Chains and Relay Chains It includes a data collection module, a data processing module, and a visualization adjustment and optimization module. Among them, 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 and responsible for collecting monitoring data related to the integrated management of forest pests. The monitoring data includes the number of forest pest discoveries FL, information accuracy index ZQ, information processing efficiency index XL, information loss rate DS, information compression rate YS, the amount of the previous forest pest information uploaded to the chain LL prev , information duplication rate CFL, data transmission delay YC, inter-chain communication delay LY, fixed cost GC, security coefficient A, encryption cost JM, verification cost YZC, risk cost FC, value return rate JB; Basic Unit for Comprehensively Providing Forest Pest Information: Responsible for calculating and outputting the amount of forest pest information uploaded to the blockchain, LL. Unit for Evaluating the Efficiency and Cost of Transmitting Forest Pest Information between Parallel Chains: Responsible for calculating and outputting the information transmission efficiency between parallel chains, CL. Unit for Comprehensively Reflecting the Performance of the Relay Chain in Terms of Security and Cost-Effectiveness: Responsible for calculating and outputting the comprehensive index of relay chain security and cost-effectiveness, AC. Visualization Adjustment and Optimization Module: Responsible for plotting the comprehensive index of relay chain security and cost-effectiveness, AC, in the time series as a line graph, finding historical points that are similar to and equal to the currently output comprehensive index of relay chain security and cost-effectiveness, AC, and formulating comprehensive management measures based on the measures taken at the historical points.

2. An integrated management system for forest pest informatization according to claim 1, wherein The devices used in the data collection module include drones and sensors. The devices used in the data processing module include high-performance computers, servers, and communication devices. The devices used in the visualization adjustment and optimization module include visualization devices.

3. The integrated information management system for forestry pests according to claim 2, wherein: The calculation formula of the basic unit for comprehensively providing forest pest information is as follows: LL = SQRT(FL × (ZQ + XL)) - DS; ZQ = YT / Z; XL = C / ZD; DS = (YL - ZL) / YL; Where: LL is the amount of forest pest information uploaded to the blockchain, representing the total amount of forest pest information recorded on the blockchain. FL is the number of forest pests discovered. ZQ is the information accuracy index, reflecting the accuracy of the uploaded information, and its value range is from 0 to 1. YT is the number of information passed through verification, and Z is the total number of information. XL is the information processing efficiency index, representing the speed and quality of information processing, and its value range is from 0 to 1. C is the number of processed information, and ZD is the total number of information to be processed. DS is the information loss rate, reflecting the proportion of information loss caused by technical and human reasons. YL is the original amount of information, and ZL is the finally recorded amount of information.

4. The integrated information management system for forestry pests according to claim 3, wherein: The calculation formula of the unit for evaluating the efficiency and cost of transmitting forest pest information between parallel chains is as follows: CL=(LL×YS+LL prev ×CFL) / (1+SQRT(YC+LY))-GC; YS = Y1 / Y2; CFL = CF / Z; Where: CL is the information transmission efficiency between parallel chains. YS is the information compression rate, representing the degree of information compression during transmission, and its value range is from 0 to 1. Y1 is the size of the compressed data, and Y2 is the size of the data before compression. LL prev is the amount of forestry pest information uploaded to the blockchain in the previous time; CFL is the information repetition rate, representing the degree of information repetition during multiple transmissions, and its value range is from 0 to 1. CF is the number of repeated information. YC is the data transmission delay. LY is the inter-chain communication delay, representing the time required to establish communication between different parallel chains. GC is the fixed cost, which includes the energy consumption and maintenance cost during the transmission process.

5. The integrated information management system for forestry pests according to claim 4, characterized in that: The calculation formula for the unit that comprehensively reflects the performance of the relay chain in terms of security and cost - effectiveness is as follows: AC = CL × A - JM × SQRT(YZC + FC) + LL prev × JB; JB = ZJ / TC; Where: AC is the comprehensive index of the relay chain's security and cost - effectiveness; A is the security coefficient. A represents the ability of the relay chain to ensure the security of information transmission, and its value range is from 0 to 1; JM is the encryption cost, including the cost of choosing encryption algorithms and key management; YZC is the verification cost, and YZC represents the cost of verifying the authenticity and integrity of information; FC is the risk cost, and FC reflects the potential losses caused by security vulnerabilities and attacks; LL prev It is the total amount of forestry pest information uploaded to the chain, LL prev which reflects the total amount of forestry pest information recorded in the entire blockchain network and is regarded as the sum of the amounts of forestry pest information uploaded to the chain, LL, on all parallel chains; JB is the rate of return on value. JB 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.

6. The integrated information management system for forestry pests according to claim 5, characterized in that: The calculation formula for the security coefficient A is as follows: ； n is the total amount of security indicators. n includes the intensity of encryption algorithms, the security of key management, and the indicator quantity in terms of attack defense capabilities; a i is the weight of the i-th security indicator. Specifically, according to the system settings, the quantity indicators in terms of the strength of the encryption algorithm, the security of key management, and the attack defense ability are sorted with emphasis, and the sum of the weights of the quantity indicators in terms of the strength of the encryption algorithm, the security of key management, and the attack defense ability is 1; p i It is the score of the i-th security indicator, reflecting the known scores of the indicators in aspects such as the strength of the encryption algorithm, the security of key management, and the attack defense ability stored in the system.

7. The integrated information management system for forestry pests according to claim 5, characterized in that: The analysis and management steps based on the comprehensive index AC of the relay chain's security and cost - effectiveness are as follows: S1: Collect the values of the comprehensive index AC of the relay chain's security and cost - effectiveness according to the time series; S2: According to the order of the time series, draw a line graph of the comprehensive index AC of the relay chain's security and cost - effectiveness calculated and output at different management times. The X - axis of the line graph represents time, and the Y - axis represents the value of the comprehensive index AC of the relay chain's security and cost - effectiveness; S3: Observe the change trend of the comprehensive index AC of the relay chain's security and cost - effectiveness on the line graph, and on the line graph, find the points that are close to and equal to the currently output comprehensive index AC of the relay chain's security and cost - effectiveness, and regard them as historical identical points; S4: Based on the measures taken at the historical identical points, formulate the management measures for the currently output comprehensive index A of the relay chain's security and cost - effectiveness, specifically as follows: If measures to improve the monitoring efficiency were taken at the historical identical point, and the comprehensive index AC of the relay chain's security and cost - effectiveness shows an upward trend after the historical identical point, then it is considered that the measures are effective, and currently, measures to improve the monitoring efficiency should be taken; Conversely, if measures to improve the monitoring efficiency were taken at the historical identical point, but the comprehensive index AC of the relay chain's security and cost - effectiveness shows a downward trend after the historical identical point, then it is considered that the measures are ineffective, and currently, measures to optimize the information processing process should be taken; If measures to optimize the information processing process were taken at the historical identical point, and the comprehensive index AC of the relay chain's security and cost - effectiveness shows an upward trend after the historical identical point, then it is considered that the measures are effective, and currently, measures to optimize the information processing process should be taken; Conversely, if measures to optimize the information processing process were taken at the historical identical point, but the comprehensive index AC of the relay chain's security and cost - effectiveness shows a downward trend after the historical identical point, then it is considered that the measures are ineffective, and currently, measures to improve the monitoring efficiency should be taken.

8. The integrated information management system for forestry pests according to claim 7, characterized in that: The measures to improve the monitoring efficiency will affect and increase the number of forest pests FL found in the basic unit that comprehensively provides forest pest information. The measures to optimize the information processing flow will affect the increase in the information accuracy index ZQ and the information processing efficiency index XL in the comprehensive provision of forest pest information basic units.

9. The comprehensive management method of an information-based comprehensive management system for forestry pests and diseases according to claim 1, characterized in that, The steps are as follows: Step I: Using blockchain technology and the data collection module, collect the monitoring data related to the integrated management of forestry pests. The monitoring data includes the number of forestry pests found FL, the information accuracy index ZQ, the information processing efficiency index XL, the information loss rate DS, the information compression rate YS, the amount of the previous forestry pest information uploaded to the chain LL prev , the information repetition rate CFL, the data transmission delay YC, the inter-chain communication delay LY, the fixed cost GC, the security coefficient A, the encryption cost JM, the verification cost YZC, the risk cost FC, and the value return rate JB; Step II: Using the data processing module, sequentially calculate and output the amount of forest pest information uploaded to the chain LL, the information transmission efficiency CL between parallel chains, and the comprehensive index AC of relay chain security and cost-benefit. Step III: Based on the comprehensive index AC of relay chain security and cost-benefit, and using the visualization adjustment and optimization module, plot the comprehensive index AC of relay chain security and cost-benefit in the time series as a line graph, and find the historical identical points that are close to and equal to the currently output comprehensive index AC of relay chain security and cost-benefit. Formulate comprehensive management measures according to the measures taken at the historical identical points.

Images