Soil moisture preservation and maintenance system and method for transplanting Cinnamomum camphora in summer in middle China

Abstract

The invention discloses a soil moisture preservation and moisture preservation maintenance system and method for transplanting Cinnamomum camphora in summer in the middle China, and relates to the technical field of plant transplanting maintenance, the system comprises the following components: a data acquisition module, a block chain storage module, an intelligent contract processing module, a maintenance resource scheduling module and a soil moisture preservation and moisture preservation execution module; by integrating the data acquisition module, the block chain storage module, the intelligent contract processing module, the maintenance resource scheduling module and the soil moisture preservation and moisture preservation execution module, all-around and real-time monitoring and accurate regulation and control of the growth environment after transplantation of cinnamomum camphora are realized, maintenance operation is automatically triggered through an intelligent contract, resource scheduling is optimized in combination with a reinforcement learning algorithm, and the maintenance efficiency is improved. The method ensures that the cinnamomum camphora obtains the most suitable soil moisture preservation and moisture preservation maintenance under the high-temperature and drought conditions in summer, so that the survival rate of the transplanted cinnamomum camphora is remarkably improved, the error of manual intervention is reduced, and the maintenance efficiency and effect are greatly improved.

Description

Technical Field

[0001] The invention relates to the technical field of plant transplanting and maintenance, and in particular to a moisture conservation and maintenance system and method for transplanting camphor trees in summer in central China. Background Art

[0002] In central China, the high temperature and drought in summer pose a severe challenge to the survival rate and growth quality of camphor trees after transplanting. As a common urban greening tree species, camphor tree maintenance after transplanting is crucial, especially in summer. How to effectively maintain soil moisture and reduce ambient temperature has become the key to ensuring the success of camphor tree transplanting.

[0003] Traditional technologies have shortcomings. On the one hand, traditional maintenance methods lack scientific basis for resource scheduling, and irrigation and shading operations are often carried out based on experience. It is difficult to accurately adjust according to the actual growth needs and environmental changes of camphor trees, resulting in serious waste of water resources and poor maintenance effects. On the other hand, traditional maintenance methods lack effective data recording and analysis methods. Various data in the maintenance process are difficult to save and trace, which is not conducive to the evaluation and optimization of maintenance effects, and cannot provide a scientific basis for subsequent maintenance work.

[0004] In view of the problems of unreasonable resource scheduling and untraceable data in traditional camphor tree transplanting and maintenance technology, the present invention proposes a moisture conservation and maintenance system and method for summer camphor tree transplanting in central China, which is particularly important. Summary of the Invention

[0005] The purpose of the present invention is to make up for the shortcomings of the existing technology and provide a moisture conservation and moisturizing maintenance system and method for camphor tree transplanting in summer in central China. It can realize all-round, real-time monitoring and precise control of the growth environment of camphor tree after transplanting by integrating data acquisition module, blockchain storage module, smart contract processing module, maintenance resource scheduling module and moisture conservation and moisturizing execution module. It automatically triggers maintenance operations through smart contracts and optimizes resource scheduling in combination with reinforcement learning algorithms to ensure that camphor tree obtains the most suitable moisture conservation and moisturizing maintenance under high temperature and drought conditions in summer, thereby significantly improving the survival rate of transplanted camphor tree. At the same time, blockchain technology is used to establish an exclusive blockchain file for each transplanted camphor tree, ensuring the authenticity and integrity of maintenance data, providing a scientific basis for subsequent maintenance decisions, and promoting the scientific and standardized development of camphor tree transplanting and maintenance work.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: On the one hand, a moisture conservation and maintenance system for camphor tree transplanting in summer in central China, the system comprising the following components: a data acquisition module, a blockchain storage module, a smart contract processing module, a maintenance resource scheduling module, and a moisture conservation and moisturizing execution module;

[0007] The data acquisition module includes multiple soil moisture sensors and temperature sensors, which are buried in the soil at different depths around the camphor tree roots to collect soil moisture and temperature data in real time. It also has meteorological monitoring equipment to obtain meteorological data on the ambient temperature, humidity, light intensity, and rainfall in central China during the summer. All collected data is transmitted to the blockchain storage module via a wireless network.

[0008] The blockchain storage module creates a dedicated blockchain archive for each transplanted camphor tree, encrypts and stores the data transmitted by the data acquisition module in chronological order, and forms an unalterable chain data structure. The module also has a data sharing interface that allows authorized personnel or devices to access relevant data.

[0009] The smart contract processing module: a smart contract with multiple trigger conditions pre-set. The smart contract processing module reads the data in the blockchain storage module in real time. When the monitored data meets the trigger conditions, it automatically executes the corresponding contract instructions and sends a scheduling signal to the maintenance resource scheduling module;

[0010] The maintenance resource scheduling module receives the scheduling signal sent by the smart contract processing module and controls the moisture conservation and moisturizing execution module to perform corresponding operations according to the signal content;

[0011] The moisture conservation and moisturizing execution module includes an intelligent irrigation system, which adopts drip irrigation or micro-sprinkler irrigation to accurately control the irrigation amount and irrigation time according to the instructions of the maintenance resource scheduling module; a sunshade system, which can automatically unfold or retract the sunshade net to adjust the degree of shading for the camphor tree; and a spray system, which forms a moist air layer around the canopy of the camphor tree through an atomizing nozzle, thereby reducing the ambient temperature and increasing the air humidity.

[0012] Furthermore, the data acquisition module includes multiple soil moisture sensors, temperature sensors and meteorological monitoring equipment buried in the soil at different depths around the camphor tree roots, and the collected data is transmitted to the blockchain storage module via a wireless network.

[0013] Furthermore, the blockchain storage module encrypts and stores the data in chronological order to form an unalterable chain data structure, and has a data sharing interface. It uses an encryption method based on a combination of hash function and elliptic curve encryption algorithm to encrypt the collected data. Specifically, the SHA-256 hash function is first used to perform a hash operation on the data to generate a hash value of a fixed length. Then, the elliptic curve encryption algorithm is used to select specific elliptic curve parameters to encrypt the hash value based on the characteristics of the camphor tree transplanting and maintenance data in central China. The encrypted ciphertext, timestamp, and hash value of the previous block together constitute a new block, which is linked to the blockchain archive. The curve equation is:

[0014] y2 =x 3 +ax+b

[0015] Among them, a and b are determined based on the correlation analysis between environmental factors and the growth status of camphor trees in historical maintenance data to ensure encryption security and data adaptability. The data sharing interface adopts the OAuth2.0 authorization framework, combined with a role-based access control model, to assign different data access rights according to different user roles to ensure secure data sharing.

[0016] Furthermore, the trigger conditions preset by the smart contract processing module include soil moisture lower than a set threshold, ambient temperature higher than a set temperature and lasting longer than a set time. A fuzzy comprehensive evaluation algorithm based on dynamic weights is used to determine whether the data meets the trigger conditions. The specific algorithm is as follows:

[0017] Suppose the set of factors that affect the moisture retention demand of camphor tree is U={u1,u2,…,u n}, where u1 is soil moisture, u2 is ambient temperature, u3 is light intensity, and u4 is rainfall. The weight set corresponding to each factor is W = {w1,w2,…,w n},w i The weights were determined by the hierarchical analysis method combined with the growth characteristics of camphor in summer in central China. First, a judgment matrix was constructed. Five garden experts were invited to score the relative importance of each factor based on historical data and experience, forming a judgment matrix A = (a ij ) n×n where a ij Representation factor u i with u j The ratio of relative importance, and then calculate the maximum eigenvalue λ of the judgment matrix max and the corresponding eigenvectors, and the weight vector W is obtained after normalization. Let the evaluation set of each factor be V = {v1, v2, ..., v m}, v1 is low, v2 is medium, and v3 is high. The membership function is used to determine the membership of each factor to the evaluation set, forming a fuzzy relationship matrix R = (r ij ) n×m , where r ij Representation factor u i Evaluation level v j The membership degree of the final fuzzy comprehensive evaluation result is calculated as B=W·R={b1,b2,…,b m}, according to b j The value of b determines whether the trigger condition is met. j When the preset threshold is exceeded, the corresponding smart contract is triggered based on the statistical analysis of historical maintenance data.

[0018] Furthermore, after receiving the scheduling signal sent by the smart contract processing module, the maintenance resource scheduling module uses a resource scheduling algorithm based on reinforcement learning to make operational decisions. The algorithm uses the growth state of the camphor tree as the environmental state, the different operations of the moisture conservation execution module as actions, and the survival rate and growth quality improvement of the camphor tree as the reward function. During the training process, the algorithm selects an action based on the current state, observes the reward of environmental feedback after executing the action, and updates the Q value table through the Q-learning algorithm. The formula is:

[0019]

[0020] Where α is the learning rate, the initial value is set to 0.3, and it gradually decays to 0.1 as the number of training times increases. γ is the discount factor, which is set to 0.8. r is the immediate reward, s is the current state, a is the current action, s′ is the next state, and a ′ is the next state, a ′ In order to obtain the optimal action in the next state, after a lot of training, the optimal strategy is formed. When the scheduling signal is received, the moisture conservation and moisturizing execution module is controlled according to the optimal strategy to perform precise operations.

[0021] Furthermore, the intelligent irrigation system of the moisture conservation and moisturizing execution module adopts an adaptive irrigation control algorithm based on soil water potential. The algorithm monitors the soil water potential ψ in real time through a soil water potential sensor installed in the root layer, and sets different target water potential intervals [ψ according to the soil water potential requirements of camphor trees at different growth stages. min ,ψ max ], the target water potential interval parameters were obtained through machine learning analysis of a large number of camphor tree transplanting and maintenance data in central China. min When the irrigation system is started, the irrigation volume V is calculated according to the formula V=k×(ψ max -ψ) calculation, where k is the irrigation coefficient, which is determined through field tests based on factors such as soil texture and camphor specifications, and the value range is 0.5-1.2. max At this time, irrigation is stopped. At the same time, the system also considers the impact of meteorological factors on irrigation. The correction coefficient β is calculated based on the meteorological data of rainfall and evaporation on that day using the linear regression model to adjust the irrigation amount. The final irrigation amount V ′ =V×β, achieving precise and adaptive irrigation control.

[0022] Furthermore, the sunshade system of the moisture preservation and humidity control execution module has a dual-parameter adjustment mechanism for light intensity and temperature. This mechanism collects data in real time through a light intensity sensor and a temperature sensor, and adopts a segmented adjustment strategy. When the light intensity I is less than the set threshold I1, which is determined to be 2000 lux according to the light compensation point of camphor trees in Central China in summer, and the ambient temperature T is lower than the set threshold T1, which is set to 30 °C according to the suitable temperature range for camphor tree growth, the sunshade net remains retracted. When I1 ≤ I < I2, where I2 is the threshold determined according to the light saturation point of camphor trees and is set to 8000 lux, and T1 ≤ T < T2, where T2 is set to 35 °C, the sunshade net is unfolded to 50% of its area. When I ≥ I2 or T ≥ T2, the sunshade net is fully unfolded. At the same time, the system also adjusts the unfolding angle of different areas of the sunshade net according to the temperature difference in different parts of the camphor tree crown using the PID control algorithm, further optimizing the sunshade effect, reducing the temperature of the camphor tree canopy, and reducing water evaporation.

[0023] Furthermore, the spray system of the moisture preservation and humidity control execution module adopts an intelligent spray control algorithm based on the air humidity gradient. This algorithm evenly arranges multiple air humidity sensors around the camphor tree crown to monitor the air humidity H i (i = 1, 2, …, n) in real time, and calculates the average air humidity as well as the humidity gradient ΔH = max{H i}-min{H i}. The target air humidity range [H min , H max is set. According to the demand for air humidity during the growth of camphor trees in Central China in summer, it is determined to be [60%, 80%] through historical data statistical analysis. When or ΔH > ΔH th , where ΔH th is the humidity gradient threshold, set to 15%, the spray system is started. The spray volume Q is calculated according to the formula , where k1 and k2 are adjustment coefficients determined through on-site tests in combination with the camphor tree specifications and environmental conditions. The value range of k1 is 0.2 - 0.5, and the value range of k2 is 0.1 - 0.3. At the same time, the system also corrects the spray volume according to the wind speed v. The corrected spray volume U mar v max is the maximum influencing wind speed, set to 5 m / s, to ensure that the air humidity is effectively increased and the transpiration of camphor trees is reduced under different air humidity and environmental conditions.

[0024] On the other hand, a moisture preservation and humidity control maintenance method for transplanting camphor trees in Central China in summer is characterized in that the specific steps of this method are as follows:

[0025] S1. Data collection and storage step: After the camphor trees are transplanted, the data collection module is immediately activated. The soil moisture sensor, temperature sensor, and meteorological monitoring equipment begin to collect data in real time and transmit the data to the blockchain storage module via the wireless network. The blockchain storage module encrypts the data and stores it in the corresponding camphor tree blockchain archive.

[0026] S2. Smart contract judgment and execution steps: The smart contract processing module continuously reads data from the blockchain storage module and compares it with pre-set trigger conditions. When the data meets the trigger conditions, the smart contract automatically executes and sends a scheduling signal to the maintenance resource scheduling module;

[0027] S3. Maintenance Resource Scheduling and Execution Step: After receiving the scheduling signal, the maintenance resource scheduling module controls the moisture conservation and moisturizing execution module to perform corresponding operations based on the signal content, thereby achieving precise moisture conservation and moisturizing maintenance for the camphor tree. At the same time, the operation records of the moisture conservation and moisturizing execution module are fed back to the blockchain storage module for storage and subsequent traceability;

[0028] S4. Data tracing and analysis steps: Authorized personnel can access the blockchain archive of camphor trees through the data sharing interface of the blockchain storage module, view various data during the maintenance process and maintenance operation records, analyze and evaluate the maintenance effects, and provide experience reference for subsequent camphor tree transplanting and maintenance.

[0029] Compared with the existing technology, the moisture conservation and maintenance system and method for camphor tree transplanting in summer in central China have the following beneficial effects:

[0030] 1. The system integrates a data acquisition module, a blockchain storage module, a smart contract processing module, a maintenance resource scheduling module, and a moisture conservation and hydration execution module to achieve comprehensive, real-time monitoring and precise control of the camphor tree's growth environment after transplantation. It automatically triggers maintenance operations through smart contracts and optimizes resource scheduling using a reinforcement learning algorithm to ensure that camphor trees receive the most appropriate moisture conservation and hydration maintenance under high temperature and drought conditions in summer, thereby significantly improving the survival rate of transplanted camphor trees. This innovation not only reduces errors caused by manual intervention, but also greatly improves maintenance efficiency and effectiveness.

[0031] 2. The system uses blockchain technology to establish an exclusive blockchain file for each transplanted camphor tree, and encrypts and stores all collected data in chronological order to form an unalterable chain data structure. This data storage method ensures the authenticity and integrity of maintenance data, and provides a data sharing interface, allowing authorized personnel or equipment to access relevant data. Through data traceability and analysis functions, various data and operation records in the maintenance process can be clearly viewed, providing a scientific basis for subsequent maintenance decisions. It also facilitates the evaluation and optimization of maintenance effects, and promotes the scientific and standardized development of camphor transplant maintenance work.

[0032] Other advantages, objects and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be learned from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] 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. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0034] Figure 1 This is a process diagram of a moisture conservation and maintenance system for summer camphor tree transplanting in central China.

[0035] Figure 2 This is a process diagram for a moisture conservation and maintenance method for transplanting camphor trees in summer in central China. DETAILED DESCRIPTION

[0036] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0037] Example 1

[0038] In a summer greening project in an industrial park in central China, 30 camphor trees with a breast diameter of 20 cm were transplanted in mid-June. On the 7th day (14:00 on a working day), the weather was hot and sunny. The park's meteorological station showed that there had been no effective rainfall in the past three days, the air humidity dropped to 45%, and the surface temperature reached 42°C. The roots of the newly transplanted camphor trees were still in the recovery period and were sensitive to water, requiring precise watering to avoid wilting.

[0039] Three groups of sensors are distributed in a ring around the roots of each camphor tree. Each group contains a humidity sensor and a temperature sensor. The current humidity value of the middle layer (30cm) is 15%, and the deep layer (50cm) is 18% (both lower than the threshold of 22% for this growth stage). The shallow layer is close to the surface and is affected by high temperatures, so the humidity is only 12% (as an auxiliary reference).

[0040] The ambient temperature is 36°C, the light intensity is 90,000 Lux (close to the light saturation point of camphor trees), the wind speed is 1.5 m / s, and the rainfall is 0 mm.

[0041] The data is packaged in JSON format via the LoRa wireless network (Low Power Wide Area Network) and transmitted to the blockchain node every 10 minutes.

[0042] ① The original data (such as humidity 15%, temperature 36℃) is hashed using SHA-256 to generate a 64-bit hexadecimal hash value.

[0043] ② The elliptic curve algorithm parameters are trained based on the camphor transplanting data in Central China. The curve equation is y 2 =x 3 +ax+b encrypts the hash value, and the private key is bound to the unique identifier of the camphor tree.

[0044] ③ Generate a new block: containing timestamp, hash value of the previous block, encrypted data, and link to the blockchain archive of CZ-001. Data sharing: After the park greening manager (role permission is "maintenance execution") is authorized through OAuth2.0, he can view the real-time humidity curve and compare it with historical data.

[0045] A team of gardening experts from Huazhong Agricultural University was invited to score the importance of soil moisture (u1), ambient temperature (u2), and light intensity (u3) and construct a judgment matrix A: The weight vector W = [0.637, 0.258, 0.105] (after normalization) is calculated by the eigenvalue method, that is, the soil moisture weight is the highest.

[0046] Taking the middle layer humidity of 1596 as an example, according to the water stress standard of camphor tree, when the humidity is ≤18%, it belongs to the "low" level. 11 =0.9, belonging to the "medium" level r 12 =0.1, ambient temperature 36℃ belongs to "high" level r 23 =0.8, light intensity 90000Lux is close to the light saturation point, belonging to the "medium" level 32 =0.7.

[0047] Forming the matrix:

[0048] Comprehensive evaluation:

[0049] B=W·R=[0.637×0.9+0.258×0+0.105×0,0.637×0.1+0.258×0.2+0.105×0.7,…]=[0.573,0.182,0.245]

[0050] Because b1 = 0.573 > the threshold of 0.5, the "Soil Water Shortage" smart contract is triggered, and the priority is set to Level 2 (response within 30 minutes).

[0051] Environmental state s: The current soil moisture level is "low" and the temperature level is "high". The relative water content (RWC) of the camphor tree leaves is 7896 (below the health threshold of 85%). Action space a: Select the "drip irrigation + spray" combination (action code 001) or drip irrigation only (action code 002).

[0052] Reward function: If 002 (drip irrigation only) is selected, the RWC returns to 82% after 3 hours, and the reward value r = +5; if 001 (collaborative work) is selected, the RWC returns to 86%, and the reward value r = +10. The Q-value table is updated through the Q-learning algorithm, and the optimal action 001 (historical success rate 92%) is finally selected.

[0053] The soil water potential of the root layer (30 cm) is ψ = -18 kPa, the target range is [-12 kPa, -8 kPa], the irrigation coefficient k = 0.8 L / kPa, and the basic irrigation amount is calculated as: V = 0.8 × (-8 + 18) = 8 L / plant.

[0054] Wind speed 1.5m / s (β=1.1 according to the table), the final irrigation amount V ′ =8×1.1=8.8L / plant, dripper flow rate 4L / h, single plant irrigation time 13.2 minutes, synchronously start canopy spray, lasting 10 minutes, reduce leaf temperature 3-5℃, and increase air humidity to 60%.

[0055] Example 2

[0056] In a summer road greening project in a certain city in central China, 50 camphor trees with a breast diameter of 18 cm were transplanted in early July. On the 10th day (13:00 on the weekend), the project encountered extreme high temperature weather. The city meteorological observatory issued an orange high temperature warning (above 37°C). The road surface temperature reached 50°C, and the heat island effect was significant in areas with heavy traffic. The newly transplanted camphor trees faced the risk of sunburn and transpiration water loss.

[0057] The light intensity sensor (installed above the canopy) measured 105,000 Lux, far exceeding the light saturation point of camphor trees (80,000 Lux). Excessive light energy may cause photoinhibition.

[0058] The ambient temperature sensor (1.5m from the ground) showed 38°C, and the temperature in different parts of the canopy varied significantly: the surface temperature of the leaves on the south side reached 42°C, while on the north side it was 39°C (due to shadows from buildings).

[0059] Air humidity sensors (evenly distributed around the canopy) measured an average value of 52%, with a humidity gradient of 18% between the east and west sides (the east side is closer to the fountain and has higher humidity).

[0060] When data is encrypted and stored, it is automatically marked with a "high temperature warning" label to facilitate subsequent statistical analysis of maintenance frequency during high temperature periods. Authorized municipal greening authorities can retrieve the microclimate data of the camphor trees on this section of road in real time through the data sharing interface.

[0061] Light intensity I≥I2 (80,000 Lux) and lasts for more than 2 hours (cumulative starting from 11:00).

[0062] When the ambient temperature T≥T2 (35℃) and the canopy temperature ≥38℃, it is judged as "high temperature and strong light stress", triggering the highest priority (Level 1) contract, and instructing the simultaneous activation of the shading and spray systems.

[0063] Based on historical data from the reinforcement learning model, the combination of "fully deployed shade nets + full canopy spraying" can reduce camphor tree leaf temperature by 5-8°C within 30 minutes under high temperature and strong light conditions. This action is selected and a scheduling instruction is generated:

[0064] Sunshade system: fully deployed within 10 minutes, with the south side tilted an additional 15° (due to the southerly sun position).

[0065] Spray system: Start all atomizing nozzles to cover the entire canopy. The single operation lasts 20 minutes and can be restarted after an interval of 30 minutes.

[0066] The sunshade net is made of polyethylene net with a shading rate of 70%, and the unfolded area covers 120% of the canopy width of the camphor tree (with edge buffer reserved).

[0067] The south motor is adjusted by a PID controller to adjust the angle between the sunshade net and the horizontal plane from 0° to 30°, accurately blocking direct light while retaining scattered light from the north (which is beneficial to photosynthesis).

[0068] Nozzle arrangement: 8 groups of atomizing nozzles are installed at a height of 2m around the tree trunk in a circular array, with the spray particle size ≤50μm (to avoid water droplets burning the leaves).

[0069] Operation logic: 20 minutes after the first spray, the air humidity rises to 65% and the canopy temperature drops to 35°C. After an interval of 30 minutes, due to the continued strong light, the second spray (duration 15 minutes) is automatically started to maintain a humid air layer.

[0070] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as above in terms of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can, without departing from the scope of the technical solution of the present invention, make some changes or modifications to equivalent embodiments using the technical contents disclosed above. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A moisture conservation and maintenance system for camphor tree transplanting in summer in central China, characterized in that: The system includes the following components: data acquisition module, blockchain storage module, smart contract processing module, maintenance resource scheduling module, and moisture conservation execution module: The data acquisition module includes multiple soil moisture sensors and temperature sensors, which are buried in the soil at different depths around the camphor tree roots to collect soil moisture and temperature data in real time. It also has meteorological monitoring equipment to obtain meteorological data on the ambient temperature, humidity, light intensity, and rainfall in central China during the summer. All collected data is transmitted to the blockchain storage module via a wireless network. The blockchain storage module creates a dedicated blockchain archive for each transplanted camphor tree, encrypts and stores the data transmitted by the data acquisition module in chronological order, and forms an unalterable chain data structure. The module also has a data sharing interface that allows authorized personnel or devices to access relevant data. The smart contract processing module: a smart contract with multiple trigger conditions pre-set. The smart contract processing module reads the data in the blockchain storage module in real time. When the monitored data meets the trigger conditions, it automatically executes the corresponding contract instructions and sends a scheduling signal to the maintenance resource scheduling module; The maintenance resource scheduling module receives the scheduling signal sent by the smart contract processing module and controls the moisture conservation and moisturizing execution module to perform corresponding operations according to the signal content; The moisture conservation and moisturizing execution module includes an intelligent irrigation system, which adopts drip irrigation or micro-sprinkler irrigation to accurately control the irrigation amount and irrigation time according to the instructions of the maintenance resource scheduling module; a sunshade system, which can automatically unfold or retract the sunshade net to adjust the degree of shading for the camphor tree; and a spray system, which forms a moist air layer around the canopy of the camphor tree through an atomizing nozzle, thereby reducing the ambient temperature and increasing the air humidity.

2. The moisture conservation and maintenance system for camphor tree transplanting in summer in central China according to claim 1, characterized in that: The data acquisition module includes multiple soil moisture sensors, temperature sensors, and meteorological monitoring equipment buried in the soil at different depths around the camphor root system. The collected data is transmitted to the blockchain storage module via a wireless network.

3. The moisture conservation and maintenance system for camphor tree transplanting in summer in central China according to claim 1, characterized in that: The blockchain storage module encrypts and stores data in chronological order to form an unalterable chain data structure, and has a data sharing interface. It uses an encryption method based on a combination of hash function and elliptic curve encryption algorithm to encrypt the collected data. Specifically, the SHA-256 hash function is first used to perform a hash operation on the data to generate a hash value of a fixed length. Then, the elliptic curve encryption algorithm is used to select specific elliptic curve parameters based on the characteristics of camphor tree transplanting and maintenance data in central China to encrypt the hash value. The encrypted ciphertext, timestamp, and hash value of the previous block together constitute a new block, which is linked to the blockchain archive. The curve equation is: y 2 =x 3 +ax+b Among them, a and b are determined based on the correlation analysis between environmental factors and the growth status of camphor trees in historical maintenance data. The data sharing interface adopts the OAuth2.0 authorization framework, combined with the role-based access control model, to assign different data access permissions according to different user roles.

4. The moisture conservation and maintenance system for camphor tree transplanting in summer in central China according to claim 1, characterized in that: The preset triggering conditions of the intelligent contract processing module include that the soil humidity is lower than the set threshold, the environmental temperature is higher than the set temperature and the duration exceeds the set time. The fuzzy comprehensive evaluation algorithm based on dynamic weights is used to judge whether the data meets the triggering conditions. The specific algorithm is as follows: Suppose the set of factors that affect the moisture retention demand of camphor tree is U={u1,u2,…,u n }, where u1 is soil moisture, u2 is ambient temperature, u3 is light intensity, and u4 is rainfall. The weight set corresponding to each factor is W = {w1,w2,…,w n },w i To obtain the weight, we first construct a judgment matrix and invite five garden experts to score the relative importance of each factor based on historical data and experience, forming a judgment matrix A = (a ij ) n×n where a ij Representation factor u i with u j The ratio of relative importance, and then calculate the maximum eigenvalue λ of the judgment matrix max and the corresponding eigenvectors, and the weight vector W is obtained after normalization. Let the evaluation set of each factor be V = {v1, v2, ..., v m }, v1 is low, v2 is medium, and v3 is high, forming a fuzzy relationship matrix R=(r ij ) n×m , where r ij Representation factor u i Evaluation level v j The membership degree of the final fuzzy comprehensive evaluation result is calculated as B=W·R={b1,b2,…,b m }, according to b j The value of b determines whether the trigger condition is met. j When the preset threshold is exceeded, the corresponding smart contract is triggered.

5. The moisture conservation and maintenance system for camphor tree transplanting in summer in central China according to claim 1, characterized in that: After receiving the scheduling signal sent by the intelligent contract processing module, the maintenance resource scheduling module makes operation decisions using the resource scheduling algorithm based on reinforcement learning. The algorithm takes the growth state of the camphor tree as the environmental state, different operations of the soil moisture and humidity control execution module as actions, and the survival rate of the camphor tree and the improvement degree of the growth quality as the reward function. During the training process, the algorithm selects actions according to the current state, observes the rewards feedback by the environment after executing the actions, and updates the Q-value table through the Q-learning algorithm. The formula is: Where α is the learning rate, γ is the discount factor, r is the immediate reward, s is the current state, a is the current action, s ′ is the next state, a ′ is the next state, a ′ is the optimal action in the next state.

6. The moisture conservation and maintenance system for camphor tree transplanting in summer in central China according to claim 1, characterized in that: The intelligent irrigation system of the moisture conservation and moisturizing execution module adopts an adaptive irrigation control algorithm based on soil water potential. The algorithm monitors the soil water potential ψ in real time through a soil water potential sensor installed in the root layer, and sets different target water potential intervals [ψ according to the soil water potential requirements of different growth stages of camphor trees. min ,ψ max ], the target water potential interval parameters were obtained through machine learning analysis of a large number of camphor tree transplanting and maintenance data in central China. min When the irrigation system is started, the irrigation volume V is calculated according to the formula V=k×(ψ max -ψ) calculation, where k is the irrigation coefficient, when ψ≥ψ max At this time, irrigation is stopped. At the same time, the system also considers the impact of meteorological factors on irrigation and adjusts the irrigation amount through the correction coefficient β. The final irrigation amount V ′ =V×β.

7. The moisture conservation and maintenance system for camphor tree transplanting in summer in central China according to claim 1, characterized in that: The sunshade system of the soil moisture and humidity control execution module has a dual-parameter adjustment mechanism for light intensity and temperature. This mechanism collects data in real time through light intensity sensors and temperature sensors, and adopts a segmented adjustment strategy. When the light intensity I is less than the set threshold I1 and the environmental temperature T is lower than the set threshold T1, the sunshade net remains retracted. When I1 ≤ I < I2, I2 is the threshold determined according to the light saturation point of the camphor tree, and T1 ≤ T < T2, T2 is set to 35°C, the sunshade net is unfolded to 50% of the area. When I ≥ I2 or T ≥ T2, the sunshade net is fully unfolded. At the same time, the system also adjusts the unfolding angle of different areas of the sunshade net according to the temperature difference of different parts of the camphor tree crown using the PID control algorithm to further optimize the sunshade effect.

8. The moisture conservation and maintenance system for camphor tree transplanting in summer in central China according to claim 1, characterized in that: The spray system of the moisture conservation and moisturizing execution module adopts an intelligent spray control algorithm based on air humidity gradient. The algorithm evenly arranges multiple air humidity sensors around the canopy of the camphor tree to monitor the air humidity H at different locations in real time. i (i=1,2,…,n), calculate the average air humidity And humidity gradient ΔH=max{H i }-min{H i }, set the target air humidity range [H min ,H max ],when or ΔH>ΔH th When the spray system is started, the spray volume Q is calculated according to the formula Calculation, where k1 and k2 are adjustment coefficients. At the same time, the system also corrects the spray volume according to the wind speed v. The corrected spray volume 9. A method for maintaining moisture and keeping warm for transplanting camphor trees in summer in central China, applicable to a system for maintaining moisture and keeping warm for transplanting camphor trees in summer in central China as claimed in any one of claims 1 to 9, characterized in that: The specific steps of this method are as follows: S1. Data collection and storage step: After the camphor tree is transplanted, the data collection module is immediately started. The soil moisture sensor, temperature sensor and meteorological monitoring equipment start to collect data in real time, and transmit the data to the blockchain storage module through the wireless network. The blockchain storage module encrypts the data and stores it in the corresponding camphor tree blockchain file; S2. Intelligent contract judgment and execution step: The intelligent contract processing module continuously reads the data in the blockchain storage module and compares it with the preset triggering conditions. When the data meets the triggering conditions, the intelligent contract is automatically executed and a scheduling signal is sent to the maintenance resource scheduling module; S3. Maintenance resource scheduling and execution step: After receiving the scheduling signal, the maintenance resource scheduling module controls the soil moisture and humidity control execution module to perform corresponding operations. At the same time, the operation records of the soil moisture and humidity control execution module are fed back to the blockchain storage module for storage; S4. Data traceability and analysis step: Authorized personnel can access the camphor tree blockchain file through the data sharing interface of the blockchain storage module, view various data and maintenance operation records during the maintenance process, and analyze and evaluate the maintenance effect.

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