Forest ecosystem service evaluation and decision-making system for nature reserves based on big data

Abstract

A big data-based forest ecosystem service assessment and decision-making system for nature reserves includes a server and at least one service terminal, as well as a data upload module, a positioning association module, an assessment module, and an identity verification module. The identity verification module is used to verify the identity of a user to obtain the user's identity data. The data upload module allows verified users to upload forest ecological survey data. The positioning association module obtains the user's survey data and associates the survey data with the survey location. The service module is used to provide services to users who have passed identity verification to form service data that matches the survey data. The assessment module performs assessment based on the forest ecological survey data and the service data that matches the survey data, and prompts the user with the current assessment decision result based on the assessment result.

Description

Technical Field

[0001] The present invention relates to the field of forestry technology, and in particular to a nature reserve forest ecosystem service assessment and decision-making system based on big data. Background Art

[0002] Forest ecosystems and their ecological processes provide natural environmental conditions and benefits for humanity, possessing multifunctional service value. To promote the establishment and improvement of mechanisms for realizing the value of forest ecological products and coordinate ecological protection with economic development, relevant assessment studies have been conducted both domestically and internationally, focusing on the complexity, spatial expanse, and heterogeneity of forest ecosystem services.

[0003] For example, the prior art CN112819280A discloses a forest ecosystem ecological value assessment system and method. However, while the tangible products provided by forests can be exchanged for data through the market, their ecological functions are intangible and lack a mature, directly exchangeable market. The quantification of forest ecological data also requires a large amount of scientific research results and the accumulation of relevant data. Due to the difficulty of assessment, this is often overlooked or the assessment results are unsatisfactory. However, this leads to the irrational development and utilization of forest resources, resulting in an imbalance in forest structure, a decline in stand quality, a decline in the overall efficiency of forests, and a deterioration of the ecological environment, ultimately threatening my country's sustainable development. At the same time, there is a lack of scientific and objective data references when safeguarding the public interest and the legitimate rights and interests of all parties involved in asset assessments.

[0004] Another typical example is a method for evaluating the impact of human interference on the biodiversity of forest ecosystems disclosed in the prior art CN114037231A. The impact of human interference on forest ecosystems is extremely common, such as deforestation, mountain closure for reforestation, afforestation, and the planning and construction of various artificial projects in forests. Human interference has both positive and negative impacts on the biodiversity of forest ecosystems, but there is a lack of a more universal quantitative evaluation method for this impact.

[0005] The present invention is made to solve the problems commonly existing in this field, such as poor interactivity, single applicable scenarios, poor evaluation effect, poor intelligence, and inability to provide guidance for decision-making. Summary of the Invention

[0006] The main purpose of this invention is to propose a forest ecosystem service assessment and decision-making system for nature reserves based on big data, aiming to solve the technical problems of poor interactivity, single applicable scenarios, poor assessment results, poor intelligence, and inability to provide guidance for decision-making.

[0007] To achieve the above objectives, the present invention proposes a nature reserve forest ecosystem service assessment and decision-making system based on big data. The nature reserve forest ecosystem service assessment and decision-making system includes a server and at least one service terminal. The nature reserve forest ecosystem service assessment and decision-making system also includes a data upload module, a positioning association module, an assessment module, and an identity verification module. The server is respectively connected to the service terminal, the data upload module, the positioning association module, the identity verification module, and the assessment module to form a service Internet of Things for service assessment and decision-making.

[0008] The identity verification module is used to verify the identity of the user to obtain the identity data of the user. The data upload module allows the verified user to upload the forest ecosystem survey data. The positioning association module obtains the user's survey data and associates the survey data with the survey location. The service module is used to provide services to the user whose identity has been verified to form service data that matches the survey data. The evaluation module performs an evaluation based on the forest ecosystem survey data and the service data that matches the survey data, and prompts the user with the current evaluation decision result based on the evaluation result.

[0009] The evaluation module includes an evaluation unit and an early warning unit. The evaluation unit performs evaluation based on the forest ecosystem survey data and service data matching the survey data. The early warning unit issues a prompt to the user based on the evaluation result of the evaluation unit.

[0010] The evaluation unit obtains the service data and the survey data, and evaluates the survey data provided by the user according to the following formula to calculate an evaluation index Assessment of the quality of forest ecosystem services associated with the survey data:

[0011]

[0012] In the formula, α is the constant coefficient, β is the service adjustment coefficient, Service ij is the service quality observation value of the jth survey data of the i-th user, satisfying:

[0013] Service ij =λ1·S1+λ2·S2+λ3·S3

[0014] Where S1 is the supporting service index of forest ecosystem service quality, S2 is the regulating service index of forest ecosystem service quality, S3 is the supply service index of forest ecosystem service quality, λ1, λ2, and λ3 are adjustment weight coefficients, satisfying: λ1+λ2+λ3=1, and their values are set according to the actual situation of the user.

[0015] Furthermore, the identity verification module includes an identity verification unit, an access management terminal, and a task monitoring unit. The identity verification unit is used to verify the identity of the user to generate a corresponding random code. The access management terminal generates an access authorization code based on the random code and the user's identity data. The task monitoring unit is used to monitor the status of the user's assessment result.

[0016] The identity verification unit includes an identity verifier and a basic database. The basic database stores the historical access random codes of each user and the user's identity data. The identity verifier obtains the user's identity data and generates a random code based on the identity data.

[0017] The user accesses the service terminal to input identity data and upload survey data through the service terminal.

[0018] Furthermore, the data uploading module includes a data uploading unit and a data marking unit. The data uploading unit is used to receive the survey data of the user, and the data marking unit is used to mark the survey data to form a mark associated with the user.

[0019] The data uploading unit includes a data receiver, a data packaging sub-unit, and a data storage. The data receiver receives the survey data uploaded by the service terminal to the service Internet of Things and stores it in the data storage. The data packaging sub-unit packages the uploaded survey data and sends a marking instruction to the marking unit.

[0020] The data marking unit marks the packaged survey data.

[0021] Furthermore, the positioning association module includes a positioning unit and an association unit. The positioning unit obtains the survey location associated with the survey data uploaded by the user. The association unit associates the survey data with the geographical access of the forest ecosystem based on the survey location collected by the positioning unit to determine the geographical location of the forest ecosystem associated with the survey data.

[0022] Furthermore, the positioning unit includes an interactive collector and an executable program. The executable program is set on the service terminal and runs on the service terminal. If the user's identity verification is passed, the executable program is triggered to run on the service terminal, and the survey location data entered by the user on the service terminal is collected through the interactive collector.

[0023] Furthermore, the association unit includes a correlator and a scheduling subunit, wherein the scheduling subunit is used to schedule the survey location to obtain the geographical location of the survey location, and the correlator associates the constant coefficient α and the service adjustment coefficient β of the geographical location with the survey data, and transmits the survey data, the constant coefficient α and the service adjustment coefficient β to the evaluation module;

[0024] Each survey location corresponds to a different constant coefficient α and service adjustment coefficient β.

[0025] Furthermore, the data marking unit obtains the marking instruction issued by the encapsulation unit and marks the packaged survey data;

[0026] The tag is associated with the identity data of the user.

[0027] Furthermore, the task monitoring unit includes an evaluation monitor and an analysis subunit. The evaluation monitor is used to monitor the evaluation results of the evaluation unit. The analysis subunit terminates the granting of the access authorization code to the user based on the number of evaluations of the evaluation results if the number of evaluations is greater than a set allowable threshold.

[0028] Furthermore, the access management terminal generates an access authorization code Visit according to the following formula:

[0029]

[0030] Wherein, Random is a random number generated by the identity verification unit, ID(x) is the value corresponding to the x-th identity data of the user, and M(y) is the value corresponding to the y-th bit of the old access authorization code M.

[0031] Furthermore, the user's survey data on forest ecosystems includes field monitoring data, drone mapping data, and satellite image data.

[0032] The beneficial effects of the present invention are as follows:

[0033] 1. Through the collaboration between the prediction unit and the early warning unit, users can timely grasp the results of the survey data to adjust the protection strategies of the forest ecosystem and make policy recommendations;

[0034] 2. Verify the identities of users and service terminals through the identity verification module to identify the identity data of service terminals and users, thereby improving the security of the entire service Internet of Things;

[0035] 3. Verify the identity of the service terminal through the access management terminal, and ensure the security of the entire service Internet of Things based on the identity data and random code, while also taking into account the security of user data;

[0036] 4. Through the cooperation between the data uploading unit and the data marking unit, the uploaded survey data can be marked, which improves the interaction convenience between users and the entire system, makes it easier for users to query the uploaded data, and ensures that user operations can be queried;

[0037] 5. Through the interaction between the positioning module and the assessment module, the physical quality assessment index of forest ecosystem services can be accurately calculated and compared with historical assessment indices to obtain the changing state and growth and decline patterns of the forest ecosystem. Based on these growth and decline patterns, protection policies (countermeasures) or protection recommendations are provided to users. This makes the entire system highly interactive, applicable to multiple scenarios, highly intelligent, and able to provide guidance for decision-making.

[0038] 6. The evaluation module evaluates the forest ecosystem service quality index Assessment and the forest ecosystem service value index Assessment' associated with the survey data to provide users with protection policies (countermeasures) or protection suggestions to ensure the protection effect of the forest ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0040] Figure 1 It is a schematic block diagram of the present invention;

[0041] Figure 2 This is a schematic diagram of the control flow of the user controlling the service terminal of the present invention;

[0042] Figure 3 This is a schematic diagram of the control flow of the survey data uploaded by the user and the positioning module of the present invention;

[0043] Figure 4 This is a schematic diagram of the control flow of the positioning module and the evaluation module of the present invention;

[0044] Figure 5 This is a schematic diagram of the control flow of the user adjusting the weight through the service terminal of the present invention;

[0045] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0046] 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0047] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), such directional indications are only used to explain the relative positional relationship and movement status of the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0048] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features specified as "first" and "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that ordinary technicians in this field can implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0049] Example 1

[0050] The following is combined with 1. Figure 2 、 Figure 3 、 Figure 4 and Figure 5As shown, and related embodiments further illustrate the scheme of the present invention; this embodiment provides a nature reserve forest ecosystem service evaluation and decision-making system based on big data, the nature reserve forest ecosystem service evaluation and decision-making system includes a server and at least one service terminal, the nature reserve forest ecosystem service evaluation and decision-making system also includes a data upload module, a positioning association module, an evaluation module, and an identity verification module, the server is respectively connected to the service terminal, the data upload module, the positioning association module, the identity verification module, and the evaluation module to form a service Internet of Things for service evaluation and decision-making;

[0051] The nature reserve forest ecosystem service assessment and decision-making system further includes a central processor, which is respectively controlled and connected to the data upload module, the positioning association module, the assessment module, and the identity verification module, and centrally controls the data upload module, the positioning association module, the assessment module, and the identity verification module based on the central processor, so as to provide service assessment and decision-making services to different users;

[0052] During use, the user connects to the service Internet of Things through the service terminal, passes the verification of the identity verification module and is granted an access authorization code. After obtaining the access authorization code, the service terminal can access the service Internet of Things and upload survey data through the data upload module.

[0053] In this embodiment, the user's survey data on the forest ecosystem includes, but is not limited to, the following: monitored forest area, soil fertility in the forest, field monitoring data, drone mapping data, satellite image data, nitrogen and phosphorus compounds, and the ability to absorb particulate matter;

[0054] The survey data may be obtained through drone inspections, field surveying, or field investigations, which are well known to those skilled in the art and will not be described in detail in this embodiment.

[0055] The identity verification module is used to verify the identity of the user to obtain the identity data of the user. The data upload module allows the verified user to upload the forest ecosystem survey data. The positioning association module obtains the user's survey data and associates the survey data with the survey location. The service module is used to provide services to the user whose identity has been verified to form service data that matches the survey data. The evaluation module performs an evaluation based on the forest ecosystem survey data and the service data that matches the survey data, and prompts the user with the current evaluation decision result based on the evaluation result.

[0056] The evaluation module includes an evaluation unit and an early warning unit. The evaluation unit performs evaluation based on the survey data of the forest ecosystem and service data matching the survey data. The early warning unit issues a prompt to the user based on the evaluation result of the evaluation unit.

[0057] The early warning unit transmits the evaluation result to the user through the service terminal to enhance the user's interactive experience;

[0058] Through the cooperation between the estimation unit and the early warning unit, the user can timely grasp the results of the survey data to adjust the protection strategy of the forest ecosystem and make policy recommendations;

[0059] The evaluation unit obtains the service data and the survey data, and evaluates the survey data provided by the user according to the following formula to calculate the evaluation index Assessment of the quality of forest ecosystem services associated with the survey data:

[0060]

[0061] In the formula, α is the constant coefficient, β is the service adjustment coefficient, Service ij is the service quality observation value of the jth survey data of the i-th user, satisfying:

[0062] Service ij =λ1·S1+λ2·S2+λ3·S3

[0063] Wherein, S1 is the support service index of the quality of forest ecosystem services, S2 is the regulation service index of the quality of forest ecosystem services, S3 is the supply service index of the quality of forest ecosystem services, λ1, λ2, and λ3 are adjustment weight coefficients, satisfying: λ1+λ2+λ3=1, and their values are set according to the actual situation of the user. In this embodiment, the adjustment weight coefficients are set by the operator according to the actual situation to achieve the conversion between different modes (specific scenario, scenario mode);

[0064] The supporting service index S1 of the forest ecosystem service quality is calculated according to the following formula:

[0065] S1=k1·(G 固土 +G 保肥 )+k2·(G 氮 +G 磷 +G 钾 )

[0066] Where k1 is the soil conservation factor, k2 is the nitrogen fixation adjustment factor, G固土 is the soil consolidation index, satisfying: G 固土 =A·(X2-X1)·F, where A is the stand area, unit: hm 2 , X2 is the soil erosion modulus of non-forested land, unit: t / hm 2 , X1 is the measured soil erosion modulus of forested land, unit: t / hm 2 , F is the forest ecosystem service correction coefficient, G 保肥 To maintain fertilizer index, meet the following requirements:

[0067] G 保肥 =G N +G P +G K +G 有机质

[0068] Where G N To assess the reduction in nitrogen loss due to soil fixation by the stand, the following conditions must be met: G N =A·N·(X2-X1)·F, where A is the stand area, unit: hm 2 , X2 is the soil erosion modulus of non-forested land, unit: t / hm 2 , X1 is the measured soil erosion modulus of forested land, unit: t / hm 2 , F is the forest ecosystem service correction coefficient, N is the nitrogen content of the soil in the measured forest stand, %;

[0069] G P To assess the reduction in phosphorus loss due to soil fixation by stands, the following conditions must be met: G N =A·P·(X2-X1)·F, where A is the stand area, unit: hm 2 , X2 is the soil erosion modulus of non-forested land, unit: t / hm 2 , X1 is the measured soil erosion modulus of forested land, unit: t / hm 2 , F is the forest ecosystem service correction coefficient, N is the measured soil phosphorus content in the forest stand, %;

[0070] G K To assess the reduction in potassium loss due to soil fixation by the stand, the following conditions must be met: G N =A·K·(X2-X1)·F, where A is the stand area, unit: hm 2 , X2 is the soil erosion modulus of non-forested land, unit: t / hm 2 , X1 is the measured soil erosion modulus of forested land, unit: t / hm 2 , F is the forest ecosystem service correction coefficient, K is the measured potassium content of the soil in the forest stand, %;

[0071] G 有机质To assess the reduction in organic matter loss due to organically held soils, the following conditions must be met: G N =A·M·(X2-X1)·F, where A is the stand area, unit: hm 2 , X2 is the soil erosion modulus of non-forested land, unit: t / hm 2 , X1 is the measured soil erosion modulus of forested land, unit: t / hm 2 , F is the forest ecosystem service correction coefficient, M is the organic mass of the soil in the measured forest stand, %;

[0072] G 氮 To evaluate the annual nitrogen fixation capacity of the forest stand, the following conditions must be met: G 氮 =A·N 营养 ·B 年 F, where A is the stand area, unit: hm 2 , N 营养 is the measured nitrogen content of trees, %, B 年 The measured stand net productivity, unit: t / hm 2 , F is the forest ecosystem service correction coefficient;

[0073] G 磷 To evaluate the annual phosphorus sequestration capacity of the forest stand, the following conditions must be met: G 磷 =A·P 营养 ·B 年 F, where A is the stand area, unit: hm 2 , P 营养 is the measured phosphorus content of trees, %, B 年 The measured stand net productivity, unit: t / hm 2 , F is the forest ecosystem service correction coefficient;

[0074] G 钾 To evaluate the annual potassium retention capacity of the forest stand, the following conditions must be met: G 钾 =A·K 营养 ·B 年 F, where A is the stand area, unit: hm 2 , K 营养 is the measured potassium content of trees, %, B 年 The measured stand net productivity, unit: t / hm 2 , F is the forest ecosystem service correction coefficient;

[0075] The regulation service index S2 of the forest ecosystem service quality is calculated according to the following formula:

[0076] S2=γ1·(G 碳 +G 氧 )+γ2·(G 负离子 +G 二氧化硫 +G氟化物 +G 氮氧化物 +G TSP +G PM10 +G PM2.5 )+γ3·G 防风固沙

[0077] In the formula, γ1, γ2, γ3 are weight coefficients, G 碳 To assess the annual carbon sequestration capacity of forest ecosystems, the unit is t / a, and the following conditions must be met:

[0078]

[0079] Where G 土壤固碳 To evaluate the annual soil carbon sequestration corresponding to the forest stand, unit: t / a, A is the forest stand area, unit: hm 2 , B 年 The measured stand net productivity, unit: t / hm 2 , F is the forest ecosystem service correction coefficient, S 土壤 is the measured carbon sequestration amount per unit area of forest soil, unit: t·hm -2 ·a -1 ;

[0080] G 氧 To evaluate the annual oxygen release of the forest stand, unit: t / a, meeting the following requirements:

[0081] G 氧 =1.19·A·B 年 ·F

[0082] Where A is the stand area, unit: hm 2 , B 年 The measured stand net productivity, unit: t / hm 2 , F is the forest ecosystem service correction coefficient;

[0083] G 负离子 Provides the number of negative ions for evaluating the forest stand year, unit: pieces·a -1 ,satisfy:

[0084]

[0085] Among them, Q 负离子 is the measured negative ion concentration in the forest stand, unit: cm -3 , A is the stand area, unit: hm 2 , H is the measured stand height, unit: m, L is the life span of negative ions, unit: min, F is the forest ecosystem service correction coefficient;

[0086] G 二氧化硫 To evaluate the annual sulfur dioxide absorption of the forest stand, unit: t / a, meeting the following requirements:

[0087]

[0088] Where Q 二氧化硫 The actual amount of sulfur dioxide absorbed by the forest stand per unit area, unit: kg·hm -2 ·a -1 , A is the stand area, unit: hm 2 , F is the forest ecosystem service correction coefficient;

[0089] G 氟化物 To evaluate the annual fluoride absorption of the forest stand, unit: t / a, meeting the following requirements:

[0090]

[0091] Where Q 氟化物 The unit area is the amount of fluoride absorbed by the forest stand, unit: kg·hm -2 ·a -1 , A is the stand area, unit: hm 2 , F is the forest ecosystem service correction coefficient;

[0092] G 氮氧化物 To evaluate the annual nitrogen oxide absorption of the forest stand, unit: t / a, meeting the following requirements:

[0093]

[0094] Where Q 氮氧化物 The unit is the measured amount of nitrogen oxides absorbed by the forest stand per unit area, unit: kg·hm -2 ·a -1 , A is the stand area, unit: hm 2 , F is the forest ecosystem service correction coefficient;

[0095] G TSP To assess the potential annual absorption of TSP (total suspended particulate matter) by the stand, unit: t / a, meeting the following requirements:

[0096]

[0097] Where Q STP The measured amount of TSP absorbed per unit area of the stand, unit: kg·hm -2 ·a -1 , A is the stand area, unit: hm 2 , F is the forest ecosystem service correction coefficient;

[0098] G PM10 To assess the potential PM absorption rate of a stand 10 The amount of inhalable particles (diameter ≤ 10 microns), unit: t / a, meeting the following requirements:

[0099] G PM10 =10·Q PM10 ·A·n·F·LAI

[0100] Where Q PM10 The PM absorption per unit area of the forest stand was measured. 10 Amount, unit: g·m -2 , A is the stand area, unit: hm 2 , F is the forest ecosystem service correction factor, LAI is the leaf area index, and n is the number of annual washouts;

[0101] G PM2.5 To assess the potential PM absorption rate of a stand 2.5 The amount of particles (≤2.5 microns in diameter) in t / a, meeting the following requirements:

[0102] G PM2.5 =10·Q PM2.5 ·A·n·F·LAI

[0103] Where Q PM2.5 The PM absorption per unit area of the forest stand was measured. 2.5 Amount, unit: g·m -2 , A is the stand area, unit: hm 2 , F is the forest ecosystem service correction factor, LAI is the leaf area index, and n is the number of annual washouts;

[0104] G 防风固沙 To evaluate the windbreak and sand fixation capacity of the forest stand, unit: t / a, meeting the following requirements:

[0105] G 防风固沙 =A 防风固沙 ·(Y2-Y1)·F

[0106] Where A 防风固沙 The area of windbreak and sand fixation forest, unit: hm 2 , Y2 is the wind erosion modulus of non-forested land, unit: t·hm -2 ·a -1 , Y1 is the wind erosion modulus of forested land, unit: t·hm -2 ·a -1 , F is the forest ecosystem service correction coefficient;

[0107] For the forest ecosystem service correction factor F, it satisfies:

[0108]

[0109] Where B n To assess the biomass of the stand, unit: kg·m -3, B0 is the measured stand biomass, unit: kg·m -3 ;

[0110] The supply service index S3 of the forest ecosystem service quality is calculated according to the following formula:

[0111]

[0112] In the formula, ω1, ω2, and ω3 are weight coefficients, which are set by the operator according to the actual situation and will not be described here one by one. 食物 is the food output, unit: t / a, meeting:

[0113] G 食物 =Q i ·S i

[0114] Where Q i is the unit area yield of food i, unit: t / hm / a; S i is the area of food i, unit: hm 2 ;

[0115] G 木材产品 =Q j ·S j

[0116] Where G 木材产品 is the wood production of tree species (including bamboo), unit: m2 / a; Q j is the volume per unit area of tree species (including bamboo) j, unit: m2 / hm / a; S j is the area of tree species (including bamboo) j, unit: hm 2 ;

[0117] G 非食用林化产品 =Q k ·S k

[0118] Where G 非食用林化产品 k is the output of non-food forest products, unit: t / a; Q k is the unit area yield of non-food forest products k, unit: t / hm / a; C k is the market price of non-food forest chemical product k, unit: yuan / t;

[0119] When the user needs to access the service Internet of Things, the identity of the user and the service terminal needs to be verified by the identity verification module to identify the identity data of the service terminal and the user, thereby improving the security of the entire service Internet of Things;

[0120] Furthermore, the identity verification module includes an identity verification unit, an access management terminal, and a task monitoring unit. The identity verification unit is used to verify the identity of the user to generate a corresponding random code. The access management terminal generates an access authorization code based on the random code and the user's identity data. The task monitoring unit is used to monitor the status of the user's assessment result.

[0121] The identity verification module further includes a random generator, which generates a random code based on the device identification code of the service terminal. When the same device accesses the service Internet of Things multiple times, different random codes are generated;

[0122] The random code is generated according to the device identification code of the service terminal, and the newly generated random code must be inconsistent with the previously generated random code to be valid;

[0123] The identity verification unit includes an identity verifier and a basic database. The basic database stores the historical access random codes of each user and the user's identity data. The identity verifier obtains the user's identity data and generates a random code based on the identity data.

[0124] wherein the user accesses the service terminal to input identity data and upload survey data through the service terminal;

[0125] Furthermore, the access management terminal generates an access authorization code according to the following formula:

[0126]

[0127] Where Random is a random number generated by the identity verification unit, ID(x) is the value corresponding to the x-th digit of the user's identity data, and M(y) is the value corresponding to the y-th digit of the old access authorization code M;

[0128] The service terminal is authenticated by accessing the management terminal, and the security of the entire service Internet of Things is ensured based on the identity data and random code, while also taking into account the security of user data;

[0129] Furthermore, the task monitoring unit includes an evaluation monitor and an analysis subunit, wherein the evaluation monitor is used to evaluate the evaluation result of the evaluation unit, and the analysis subunit terminates the granting of the access authorization code to the user if the evaluation number of the evaluation result is greater than a set allowable threshold;

[0130] The allowed threshold is set by the administrator so that each user can make full use of it during use and also ease the balance between the service Internet of Things;

[0131] In addition, the task status of the user is monitored by the task monitoring unit to reduce the burden of large-scale access on the service Internet of Things, greatly facilitating the normal use of other users;

[0132] Furthermore, the data uploading module includes a data uploading unit and a data marking unit. The data uploading unit is used to receive the survey data of the user, and the data marking unit is used to mark the survey data to form a mark associated with the user.

[0133] Through the cooperation between the data uploading unit and the data marking unit, the uploaded survey data can be marked, thereby improving the convenience of interaction between the user and the entire system, making it convenient for the user to query the uploaded data, and ensuring that the user's operations can be queried;

[0134] The data uploading unit includes a data receiver, a data packaging sub-unit, and a data storage. The data receiver receives the survey data uploaded by the service terminal to the service Internet of Things and stores it in the data storage. The data packaging sub-unit packages the uploaded survey data and sends a marking instruction to the marking unit.

[0135] Wherein, the data marking unit marks the packaged survey data;

[0136] At the same time, the packaging method ensures the completeness of the survey data and prevents the survey data from being missing or erroneous.

[0137] Furthermore, the data marking unit obtains the marking instruction issued by the encapsulation unit and marks the packaged survey data;

[0138] The tag is associated with the identity data of the user, so that the survey data can be associated with the identity of the user to ensure the uniqueness of the survey data and prevent the security of the survey data;

[0139] Furthermore, the positioning association module includes a positioning unit and an association unit, wherein the positioning unit obtains a survey location associated with the survey data uploaded by the user, and the association unit associates the survey data with a geographical location of the forest ecology based on the survey location collected by the positioning unit to determine a geographical location of the forest ecology associated with the survey data;

[0140] At the same time, through the cooperation between the positioning unit and the association unit, the position corresponding to the survey data can be quickly determined, thereby improving the evaluation efficiency and accuracy;

[0141] Furthermore, the positioning unit includes an interactive collector and an executable program. The executable program is set on the service terminal and runs on the service terminal. If the user's identity verification is passed, the executable program is triggered to run on the service terminal and collects the survey location data entered by the user on the service terminal through the interactive collector.

[0142] Furthermore, the association unit includes a correlator and a scheduling subunit, wherein the scheduling subunit is used to schedule the survey location to obtain the geographical location of the survey location, and the correlator associates the constant coefficient α and the service adjustment coefficient β of the geographical location with the survey data, and transmits the survey data, the constant coefficient α and the service adjustment coefficient β to the evaluation module;

[0143] Wherein, each survey location corresponds to a different constant coefficient α and service adjustment coefficient β;

[0144] In this embodiment, forest systems at different locations correspond to different constant coefficients α and service adjustment coefficients β, and the constant coefficients α and service adjustment coefficients β are preset in the server by an administrator. When the user uploads the survey data, the positioning module calls the survey data, identifies the location of the survey data, retrieves the specific data of the constant coefficients α and the service adjustment coefficients β, and transmits them to the evaluation module to calculate the service quality evaluation index Assessment.

[0145] Through the mutual cooperation of the positioning module and the evaluation module, the service quality evaluation index in the forest ecosystem can be accurately detected and compared with the historical evaluation index to obtain the changing state and growth and decline pattern of the forest ecology, and provide protection policies (countermeasures) or protection suggestions to the user based on the growth and decline pattern, so that the entire system has the advantages of good interactivity, applicability to multiple scenarios, high intelligence, and the ability to provide guidance for decision-making.

[0146] Example 2

[0147] This embodiment should be understood to include at least all the features of any of the above embodiments, and further improve upon them. Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 and Figure 5 As shown, the evaluation unit can also obtain the service data and the survey data, and evaluate the survey data provided by the user according to the following formula to calculate the evaluation index Assessment′ of the value of the service associated with the survey data:

[0148]

[0149] In the formula, α is the constant coefficient, β is the service adjustment coefficient, and Service′ ij The estimated value of the service value of the j-th survey data of the i-th user satisfies:

[0150] Service′ ij =λ1′·S1′+λ2′·S2′+λ3′·S3′+λ4′·S4′

[0151] Wherein, S′1 is the support service index of forest ecosystem service value, S′2 is the regulating service index of forest ecosystem service value, S′3 is the supply service index of forest ecological value, S′4 is the cultural service benefit index of forest ecological value, λ′1, λ′2, λ′3, λ′4 are adjustment weight coefficients, satisfying: λ′1+λ′2+λ′3+λ′4=1. The specific values of the above-mentioned adjustment weight coefficients are set by the user according to actual conditions.

[0152] The supporting service index S1' of the forest ecosystem is calculated according to the following formula:

[0153]

[0154] Where τ1 and τ2 are weight coefficients, and satisfy: τ1+τ2=1. They are set by the operator according to the actual situation to achieve the conversion of different modes (specific scenario, scenario mode), U 固 To evaluate the annual soil fixation value of the stand, unit: Yuan·a -1 , G 固土 To evaluate the annual soil fixation capacity of the stand, unit: t·a -1 , C 土 Cost of excavating and transporting unit volume of earthwork, unit: Yuan·m -3 , ρ is soil bulk density, U 肥 To evaluate the annual fertilizer conservation value of the forest stand, unit: Yuan·a -1 , G N To evaluate the reduction of xenon loss due to soil fixation by the stand, unit, t·a -1 , C1 is the price of diammonium phosphate fertilizer, unit: yuan·t -1 , R1 is the ammonia content of diammonium phosphate fertilizer, %, G P To evaluate the amount of phosphorus loss reduced by soil fixation by the stand, unit: t·a -1 , R2 is the phosphorus content of diammonium phosphate fertilizer, %; G K To evaluate the amount of potassium loss reduced by the stand to fix the soil, unit, t·a -1, C2 is the price of potassium chloride fertilizer, unit: yuan·t -1 , R3 is the potassium content of potassium chloride fertilizer, %, G 有机质 To evaluate the amount of organic matter loss reduced by the stand to fix the soil, unit: t·a -1 , C3 is the price of organic matter, unit: Yuan·t -1 , U 氮 To evaluate the nitrogen sequestration value of the forest stand, unit: Yuan·a -1 , G 氮 To evaluate the annual nitrogen fixation capacity of the forest stand, unit: t·a -1 , C1 is the price of diammonium phosphate fertilizer, unit: yuan·t -1 , U 磷 To evaluate the phosphorus sequestration value of the forest stand, unit: Yuan·a -1 , G 磷 To evaluate the annual phosphorus sequestration capacity of the forest stand, unit: t·a -1 , U 钾 To evaluate the potassium fixation value of the forest stand, unit: Yuan·t -1 , G 钾 To evaluate the annual potassium fixation capacity of the forest stand, unit: t·a -1 , C2 is the price of potassium ammonium fertilizer, unit: yuan·t -1 ;

[0155] The supporting service index S2' of the forest ecosystem is calculated according to the following formula:

[0156]

[0157] Where ε1, ε2, ε3, and ε4 are adjustment weight coefficients, and satisfy: ε1+ε2+ε3+ε4=1; μ1, μ2, and μ3 are absorption weight coefficients, and satisfy: μ1+μ2+μ3=1; ω1 and ω2 are protection weight coefficients, and satisfy: ω1+ω2=1. The operator sets them according to the actual situation to achieve the conversion of different modes (specific scenario, scenario mode), U 调 To evaluate the annual water regulation value of the forest stand, unit: Yuan·a -1 , G 调 To evaluate the annual water regulation of the forest stand, unit: Yuan·m 3 a -1 , C 库 is the water resource market transaction price, unit: Yuan·m -3 , U 净 To evaluate the water purification value of forest stands, unit: Yuan·a -1 , G 净 To evaluate the annual water purification quality of the forest stand, unit: m 3 ·a -1 , K 水 is the water purification cost, unit: Yuan·a-1 , U 碳 To assess the annual carbon sequestration value of forest stands, unit: Yuan·a -1 , G 碳 To assess the potential annual carbon sequestration of forest ecosystems, unit: t·a -1 , C 碳 is the carbon sequestration price, unit: Yuan·t -1 , U 氧 To evaluate the annual oxygen release value of the forest stand, unit: Yuan·a -1 , G 碳 To evaluate the annual oxygen release of the forest stand, unit: t·a -1 , C 氧 is the price of oxygen, unit: Yuan·a -1 , U 防风固沙 To evaluate the windbreak and sand fixation value of the forest stand, unit: Yuan·a -1 ;K 防风固沙 is the cost of sand fixation, unit: Yuan·t -1 , G 防风固沙 To evaluate the quality of windbreak and sand fixation materials in the forest stand, unit: t·a -1 , U 农田防护 To evaluate the value of the farmland protection function of the forest stand, unit: Yuan·a -1 , K a Average 1hm 2 Farmland shelterbelt can achieve farmland protection area of 19hm 2 , V a is the price of crops and forage, unit: Yuan·kg -1 , m a The average yield increase of crops and forage, unit: kg·hm -2 ·a -1 ; A 农 is the area of farmland shelterbelt, unit: hm 2 ;

[0158] U 负离子 Provides negative value for evaluating stand year, unit: Yuan·a -1 ,satisfy:

[0159]

[0160] Where: A is the stand area, unit: hm 2 , H is the measured stand height, unit: m, F is the forest ecosystem service correction coefficient, K negative ion is the negative ion production cost, unit: yuan per -1 , Q ion is the measured negative ion concentration in the forest stand, unit: pieces·cm -3 , L is the negative ion life span, unit: min;

[0161] U 二氧化硫=G 二氧化硫 ·K 二氧化硫

[0162] U 二氧化硫 To evaluate the annual sulfur dioxide absorption value of the forest stand, unit: Yuan·a -1 , G 二氧化硫 To evaluate the annual sulfur dioxide absorption of the forest stand, unit: t·a -1 , K 二氧化硫 is the cost of sulfur dioxide treatment, unit: Yuan·kg -1 ,

[0163] U 氟化物 =G 氟化物 ·K 氟化物

[0164] Among them, U 氟化物 To evaluate the annual fluoride absorption value of the forest stand, unit: Yuan·a -1 , G 氟化物 To evaluate the annual fluoride absorption of the forest stand, unit: t·a -1 , K 氟化物 is the cost of fluoride treatment, unit: yuan; kg -1 ;

[0165] U 氮氧化物 =G 氮氧化物 ·K 氮氧化物

[0166] Among them, U 氮氧化物 To evaluate the annual nitrogen oxide absorption value of the forest stand, unit: Yuan·a -1 , G 氮氧化物 To evaluate the annual nitrogen oxide absorption of the forest stand, unit: t·a -1 , K 氮氧化物 is the cost of nitrogen oxides treatment, unit: Yuan·kg -1 ;

[0167] U 滞尘 =(G TSP -G PM10 -G PM2.5 )·K TSP +U PM10 +U PM2.5

[0168] Among them, U 滞尘 To evaluate the potential annual dust retention value of the stand, unit: Yuan·a -1 , G TSP To assess the potential annual TSP delay of the stand, unit: t·a -1 , G PM10 To evaluate the potential PM absorption in the stand during the year of delayed TSP absorption 10 Amount, unit: kg·a-1 , G PM2.5 To assess the potential PM absorption rate of forest stands 2.5 Amount, unit: kg·a -1 , K TSP Dust removal and cleaning costs, unit: Yuan·kg - 1. U PM10 To assess the potential PM absorption rate of forest stands 10 The value of, unit: yuan·a -1 , U PM2.5 To assess the potential PM absorption rate of forest stands 2.5 The value of, unit: yuan·a -1 ;

[0169] U PM10 =C PM10 ·G PM10

[0170] Among them, C PM10 For PM 10 Cleaning costs, unit: Yuan·kg -1 ;

[0171] U PM2.5 =C PM2.5 ·G PM2.5

[0172] Among them, C PM2.5 For PM 2.5 Cleaning costs, unit: Yuan·kg -1 ;

[0173] The supply service index S3' of the forest ecosystem is calculated using the following formula:

[0174]

[0175] Among them, τ1, τ2, τ3 are the supply adjustment weight coefficients, satisfying: τ1+τ2+τ3=1. The above weight values are set by the operator according to the actual situation to achieve the conversion of different modes (specific scenario, scenario mode), U 生 To assess the annual conservation value of forest species resources, unit: Yuan·a -1 , E m To evaluate the rarity and endangerment index of species m in a forest stand (or region), B n To evaluate the endemic species index of species n in a stand (or region), O r To evaluate the age index of ancient trees in a stand (or region), z is the number of rare and endangered species, v is the number of endemic species, r is the number of ancient tree species, and S 生 is the conservation value of species resources per unit area, unit: Yuan·hm -2 ·a-1 , A is the stand area, unit: hm 2 ;

[0176] Among them, the endangered index mentioned above can be directly obtained from the species red list, the endemic species index system, and the tree age index can be directly obtained from the query technical manual, and thus will not be described in detail in this embodiment.

[0177] The cultural service benefit index S4 of the forest ecosystem is calculated according to the following formula:

[0178]

[0179] Where θ is the cultural adjustment weight, which is set by the operator to achieve the conversion of different modes (specific scenario, scenario mode), U k The value of forestry tourism and leisure industries and forest rehabilitation and recuperation industries in each administrative region, including tourism income and the output value of other industries directly driven by it, unit: Yuan·a -1 , k is the number of administrative districts, 0.8 is the number of tourists received by forest parks and the tourism output value created accounts for about 80% of the total scale of forest tourism in China, and its value can be adjusted by administrators or operators according to actual conditions;

[0180] The evaluation module evaluates the material quantity evaluation index Assessment of the forest ecosystem service and the value evaluation index Assessment′ of the service associated with the survey data to provide the user with protection policies (countermeasures) or protection suggestions to ensure the protection effect of the forest ecosystem.

[0181] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made by using the contents of the present invention description and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A nature reserve forest ecosystem service assessment and decision-making system based on big data, the nature reserve forest ecosystem service assessment and decision-making system comprising a server and at least one service terminal, characterized in that: The nature reserve forest ecosystem service evaluation and decision-making system further includes a data upload module, a positioning association module, an evaluation module, and an identity verification module. The server is respectively connected to the service terminal, the data upload module, the positioning association module, the identity verification module, and the evaluation module to form a service Internet of Things for service evaluation and decision-making; The identity verification module is used to verify the identity of the user to obtain the identity data of the user. The data upload module allows the verified user to upload the forest ecological survey data. The positioning association module obtains the survey data of the user and associates the survey data with the survey location. The service module is used to provide services to the user whose identity has been verified to form service data that matches the survey data. The evaluation module performs an evaluation based on the forest ecological survey data and the service data that matches the survey data, and prompts the user with the current evaluation decision result based on the evaluation result. The positioning association module includes a positioning unit and an association unit. The positioning unit obtains a survey location associated with the survey data uploaded by the user. The association unit associates the survey data with a geographical location of the forest ecosystem based on the survey location collected by the positioning unit to determine a geographical location of the forest ecosystem associated with the survey data. The association unit includes an associator and a scheduling subunit. The scheduling subunit is used to schedule the survey location to obtain the geographical location of the survey location. The associator associates the constant coefficient α and the service adjustment coefficient β of the geographical location with the survey data, and transmits the survey data, the constant coefficient α, and the service adjustment coefficient β to the evaluation module. Each survey location corresponds to a different constant coefficient α and the service adjustment coefficient β. The evaluation module includes an evaluation unit and an early warning unit. The evaluation unit performs an evaluation based on the forest ecological survey data and the service data matching the survey data. The early warning unit issues a prompt to the user based on the evaluation result of the evaluation unit. The evaluation unit obtains the service data and the survey data, and evaluates the survey data provided by the user according to the following formula to calculate the forest ecosystem service quality evaluation index Assessment associated with the survey data: In the formula, α is the constant coefficient, β is the service adjustment coefficient, Service ij is the observed value of the ecosystem service quantity of the jth survey data of the i-th user, satisfying: Service ij =λ1·S1+λ2·S2+λ3·S3 Where S1 is the supporting service index of forest ecosystem service quality, S2 is the regulating service index of forest ecosystem service quality, S3 is the supply service index of forest ecosystem service quality, λ1, λ2, and λ3 are adjustment weight coefficients, satisfying: λ1+λ2+λ3=1, and their values are set according to the actual situation of the user.

2. The big data-based nature reserve forest ecosystem service assessment and decision-making system according to claim 1 is characterized in that: The identity verification module includes an identity verification unit, an access management terminal, and a task monitoring unit. The identity verification unit is used to verify the identity of the user to generate a corresponding random code. The access management terminal generates an access authorization code based on the random code and the user's identity data. The task monitoring unit is used to monitor the status of the user's assessment result. The identity verification unit includes an identity verifier and a basic database. The basic database stores the historical access random codes of each user and the user's identity data. The identity verifier obtains the user's identity data and generates a random code based on the identity data. The user accesses the service terminal to input identity data and upload survey data through the service terminal.

3. The big data-based nature reserve forest ecosystem service assessment and decision-making system according to claim 2 is characterized in that: The data uploading module includes a data uploading unit and a data marking unit. The data uploading unit is used to receive the survey data of the user, and the data marking unit is used to mark the survey data to form a mark associated with the user. The data uploading unit includes a data receiver, a data packaging sub-unit, and a data storage. The data receiver receives the survey data uploaded by the service terminal to the service Internet of Things and stores it in the data storage. The data packaging sub-unit packages the uploaded survey data and sends a marking instruction to the marking unit. The data marking unit marks the packaged survey data.

4. The big data-based nature reserve forest ecosystem service assessment and decision-making system according to claim 3 is characterized in that: The positioning unit includes an interactive collector and an executable program. The executable program is set on the service terminal and runs on the service terminal. If the user's identity verification is passed, the executable program is triggered to run on the service terminal and collects the survey location data entered by the user on the service terminal through the interactive collector.

5. The big data-based nature reserve forest ecosystem service assessment and decision-making system according to claim 4 is characterized in that: The data marking unit obtains the marking instruction issued by the encapsulation unit and marks the packaged survey data; The tag is associated with the identity data of the user.

6. The big data-based nature reserve forest ecosystem service assessment and decision-making system according to claim 5 is characterized in that: The task monitoring unit includes an evaluation monitor and an analysis subunit. The evaluation monitor is used to monitor the evaluation results of the evaluation unit. The analysis subunit terminates the granting of the access authorization code to the user based on the number of evaluations of the evaluation results if the number of evaluations is greater than a set allowable threshold.

7. The big data-based nature reserve forest ecosystem service assessment and decision-making system according to claim 6 is characterized in that: The access management terminal generates the access authorization code Visit according to the following formula: Wherein, Random is a random number generated by the identity verification unit, ID(x) is the value corresponding to the x-th identity data of the user, and M(y) is the value corresponding to the y-th bit of the old access authorization code M.

8. The big data-based nature reserve forest ecosystem service assessment and decision-making system according to claim 7 is characterized in that: The user's survey data on forest ecosystems includes field monitoring data, drone mapping data, and satellite image data.

Images