Landscaping maintenance control system

Abstract

The invention, which relates to the technical field of landscaping maintenance, discloses a landscaping maintenance control system comprising a data acquisition module, a data transmission module, a calculation processing module, a maintenance adjustment module and a monitoring optimization module. According to the system, various environmental data of landscaping can be collected in real time, a maintenance strategy is automatically customized in combination with the actual condition of landscaping maintenance, the control system can accurately control the humidity of soil, the irrigation strategy can be dynamically adjusted, efficient utilization of resources is achieved, and the system is suitable for large-scale popularization and application. And self-adaptive optimization and adjustment of the system are carried out based on data acquired in real time and comprehensive calculation and evaluation results, so that the system has the effects of intelligence and practicability.

Description

Technical Field

[0001] The invention relates to the technical field of garden greening maintenance, in particular to a garden greening maintenance control system. Background Art

[0002] With the acceleration of urbanization, landscaping, as an important part of the urban ecosystem, is receiving increasing attention for its maintenance. If the maintenance work is not done properly, the gardens may not be well maintained. Some garden areas may experience problems such as grassland degradation, tree death and overgrown weeds.

[0003] The current existing landscaping maintenance methods mostly rely on manual experience and simple mechanical equipment for watering and maintenance, and cannot effectively collect and analyze environmental data in real time, resulting in low maintenance efficiency. In addition, some maintenance methods only consider a single soil moisture factor, while ignoring a variety of factors that affect humidity, such as temperature, rainfall, and wind speed. As a result, the maintenance control effect is poor, and there may be a lack of a mechanism that can dynamically adjust the irrigation strategy according to the real-time soil moisture and environmental conditions, resulting in problems such as excessive or insufficient irrigation for maintenance. Summary of the invention

[0004] The purpose of the present invention is to provide a garden greening maintenance control system to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a landscaping maintenance control system, comprising:

[0006] Data acquisition module, data transmission module, calculation and processing module, maintenance and adjustment module and monitoring and optimization module;

[0007] The implementation steps are as follows:

[0008] Data Collection:

[0009] The temperature sensor, humidity sensor, rainfall sensor and wind speed sensor are first installed at the key position of the garden greening area through the data acquisition module, and the current soil moisture value, current soil temperature value, 24-hour rainfall value and 24-hour wind speed value are collected in real time through the data acquisition module;

[0010] Data transmission:

[0011] The collected data is transmitted to the data processing center based on the Internet of Things wireless transmission technology of the data transmission module, and the received data is verified and processed;

[0012] Maintenance control analysis: realized through the calculation and processing module;

[0013] Maintenance adjustment:

[0014] According to the values ​​collected by the data collection module and the calculation results of the calculation processing module, the irrigation decision of the landscaping is made through the maintenance adjustment module;

[0015] Continuous monitoring and optimization:

[0016] Based on the numerical value collection of the data collection module and the change of the calculated numerical value of the calculation processing module, the maintenance of the landscaping is continuously monitored through the monitoring optimization module, and the maintenance strategy is continuously optimized according to the monitoring results and data analysis.

[0017] Optionally, the

[0018] The computing and processing modules include:

[0019] Garden maintenance soil moisture comprehensive algorithm unit, garden maintenance soil irrigation comprehensive algorithm unit and garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit;

[0020] Step 1: Substitute the current soil moisture value, current soil temperature value, 24-hour rainfall value and 24-hour wind speed value into the garden maintenance soil moisture comprehensive algorithm unit to calculate the comprehensive soil moisture value;

[0021] Step 2: Substitute the comprehensive soil moisture value and the current soil moisture value into the garden maintenance soil irrigation comprehensive algorithm unit to calculate the maintenance irrigation amount of the target garden greening;

[0022] Step 3: Then, the comprehensive soil moisture value and the target garden greening maintenance irrigation amount are substituted into the garden greening maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit to calculate the greening maintenance control evaluation value;

[0023] Step 4: Further calculate the calculated greening maintenance control evaluation value to obtain a new adjustable soil basic moisture value. The adjustable soil basic moisture value replaces the original adjustable soil basic moisture value in the garden maintenance soil moisture comprehensive algorithm unit to affect the calculated value of the comprehensive soil moisture value and the maintenance irrigation amount of the target garden greening, and continuously adjusts the garden greening maintenance control system through iteration.

[0024] Optionally, the garden maintenance soil moisture comprehensive algorithm unit is as follows:

[0025] HQW=HQE+B1+B2-B3;

[0026] B1 = HQR*(1-α*HQT);

[0027] B2 = β*HQY;

[0028] B3=γ*HQU3 ;

[0029] in:

[0030] HQW is the comprehensive soil moisture value;

[0031] HQE is the adjustable soil base moisture value;

[0032] HQR is the current soil moisture value;

[0033] HQT is the current soil temperature value;

[0034] HQY is the 24-hour rainfall value;

[0035] HQU is the 24-hour wind speed value;

[0036] α, β, and γ are the weight values ​​of HQT, HQY, and HQU, respectively;

[0037] B1 is the value of the influence of temperature on soil moisture;

[0038] B2 is the positive impact relationship value of rainfall on soil moisture;

[0039] B3 is the negative impact relationship value of wind speed on soil moisture.

[0040] Optionally, the garden maintenance soil irrigation comprehensive algorithm unit is as follows:

[0041]

[0042]

[0043] in:

[0044] HWW is the maintenance irrigation volume of the target landscape;

[0045] HWE is the target humidity value;

[0046] D1 is the relative change required to transform the comprehensive soil moisture value to the target moisture value;

[0047] max(0, D1) is a function that takes the maximum value so that HWW is not a negative number.

[0048] Optionally, the garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit is as follows:

[0049]

[0050] C1=(HQW-HAW) 2 ;

[0051]

[0052] in:

[0053] HAQ is the greening maintenance control assessment value;

[0054] HAW is the average comparative value of soil moisture;

[0055] C1 is the closeness value between soil moisture and target value;

[0056] C2 is the impact amplitude of irrigation volume on greening maintenance control assessment value.

[0057] Optionally, the garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit is further as follows:

[0058] JK = a*(HAQ-HAE);

[0059] HQ new =HQE old +JK;

[0060] in:

[0061] HAE is the greening maintenance target control evaluation value;

[0062] Further calculation of HAQ yields HQE new , the HQE new Substitute it into the garden maintenance soil moisture comprehensive algorithm unit to replace the original HQR, and iterate four times.

[0063] Optionally, the devices used in the data acquisition module are: soil moisture sensor, temperature sensor, rainfall sensor and wind speed sensor.

[0064] Optionally, the device used in the maintenance adjustment module is an irrigation control device, and the irrigation control device is specifically a solenoid valve and a water pump equipment.

[0065] Compared with the prior art, the present invention has the following beneficial effects:

[0066] 1. The present invention calculates a comprehensive soil moisture value through a garden maintenance soil moisture comprehensive algorithm unit. The comprehensive soil moisture value combines multiple factors such as the current soil moisture value, temperature value, rainfall value, and wind speed value, and can reflect the true state of soil moisture in real time. It is an important reference indicator for garden greening maintenance personnel, which helps them understand the real-time changes in soil moisture. Moreover, by real-time monitoring of the changes in the comprehensive soil moisture value, abnormal changes in soil moisture can be discovered in time, which is convenient for preventing damage to plants caused by excessive or insufficient irrigation.

[0067] 2. The present invention calculates the maintenance irrigation amount of the target garden greening through the garden maintenance soil irrigation comprehensive algorithm unit. The calculation of the maintenance irrigation amount of the target garden greening provides irrigation suggestions for garden greening maintenance personnel, which can be dynamically adjusted with changes in soil moisture and environmental conditions. This dynamic adjustment strategy can better adapt to the needs of different plants and different seasons and thus improve irrigation efficiency.

[0068] 3. The present invention calculates the greening maintenance control evaluation value through the garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit, which helps the garden greening maintenance personnel to understand the effect of the current maintenance strategy, so as to carry out targeted optimization, and through real-time evaluation and strategy optimization, the control system can continuously improve the maintenance efficiency and effect of garden greening, and the greening maintenance control evaluation value can be further calculated and substituted into the garden maintenance soil moisture comprehensive algorithm unit, so as to adjust the calculated value of the comprehensive soil moisture value, so that the three algorithm units in the system form a cyclic iteration form, so as to cope with the garden greening maintenance control management in various situations in a form of continuous adjustment and adaptation. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a method flow chart of the landscaping maintenance control system;

[0070] Figure 2 This is the overall structural diagram of the garden greening maintenance control system.

[0071] Figure 3 It is a structural schematic diagram of the data acquisition module of the present invention;

[0072] Figure 4 It is a schematic diagram of the structure of the calculation processing module of the present invention. DETAILED DESCRIPTION

[0073] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0074] Regarding this garden greening maintenance control system, it is different from the existing garden greening maintenance control system. The soil moisture considerations of the existing garden greening maintenance control system are relatively single, ignoring the impact of other important environmental factors such as temperature, rainfall, wind speed on soil moisture, and there may be a lack of a mechanism to dynamically adjust the irrigation strategy according to real-time soil moisture and environmental conditions, resulting in excessive or insufficient irrigation, resulting in poor actual garden greening maintenance control effects. This control system not only comprehensively considers the factors affecting soil moisture, making irrigation decisions more scientific, accurate and effective, but also automatically performs automatic adaptive adjustments based on real-time data through the system's own iterative optimization form, realizes personalized maintenance strategies, and can evaluate the effectiveness of the current maintenance strategy based on real-time maintenance conditions, providing a basis for optimizing the strategy.

[0075] Example 1: Please refer to Figures 1 to 4 ,This implementation provides a landscaping maintenance control system, a data acquisition module, a data transmission module, a calculation and processing module, a maintenance adjustment module and a monitoring optimization module;

[0076] The implementation steps are as follows:

[0077] Data Collection:

[0078] Temperature sensors, humidity sensors, rainfall sensors and wind speed sensors are first installed at key locations in the garden greening area through the data acquisition module, and the current soil moisture value, current soil temperature value, 24-hour rainfall value and 24-hour wind speed value are collected in real time through the data acquisition module;

[0079] Data transmission:

[0080] The collected data is transmitted to the data processing center based on the IoT wireless transmission technology of the data transmission module, and the received data is verified and processed;

[0081] Maintenance control analysis: realized through calculation and processing module;

[0082] The computing and processing modules include:

[0083] Garden maintenance soil moisture comprehensive algorithm unit, garden maintenance soil irrigation comprehensive algorithm unit and garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit;

[0084] Step 1: Substitute the current soil moisture value, current soil temperature value, 24-hour rainfall value and 24-hour wind speed value into the garden maintenance soil moisture comprehensive algorithm unit to calculate the comprehensive soil moisture value;

[0085] Step 2: Substitute the comprehensive soil moisture value and the current soil moisture value into the garden maintenance soil irrigation comprehensive algorithm unit to calculate the maintenance irrigation amount of the target garden greening;

[0086] Step 3: Then, the comprehensive soil moisture value and the target garden greening maintenance irrigation amount are substituted into the garden greening maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit to calculate the greening maintenance control evaluation value;

[0087] Step 4: Further calculate the calculated greening maintenance control evaluation value to obtain a new adjustable soil basic moisture value. The adjustable soil basic moisture value replaces the original adjustable soil basic moisture value in the garden maintenance soil moisture comprehensive algorithm unit to affect the comprehensive soil moisture value and the calculated value of the maintenance irrigation amount of the target garden greening, and continuously adjusts the garden greening maintenance control system through iteration.

[0088] Maintenance adjustment:

[0089] According to the values ​​collected by the data acquisition module and the calculation results of the calculation processing module, the irrigation decision of the landscaping is made through the maintenance adjustment module;

[0090] Continuous monitoring and optimization:

[0091] Based on the numerical value collection of the data acquisition module and the changes in the calculated numerical values ​​of the calculation processing module, the monitoring and optimization module is used to continuously monitor the maintenance of landscaping, and the maintenance strategy is continuously optimized based on the monitoring results and data analysis.

[0092] In this embodiment: first, based on the data acquisition module, not only can the maintenance information of the target area be collected, but also the received data can be verified to ensure the accuracy and reliability of the data. The effect of combined operation is achieved through multiple collection forms, and the accuracy of the algorithm system calculation is improved by substituting multiple sets of values ​​into the algorithm system. The monitoring optimization module is used to continuously monitor the maintenance of landscaping and optimize the maintenance strategy according to the monitoring results and data analysis. The monitoring camera is necessary for real-time observation of plant growth. The use of data analysis software is used to analyze and predict historical data, and the three algorithm units themselves can calculate the comprehensive soil moisture value, the maintenance irrigation amount of the target landscaping and the greening maintenance control evaluation value. The three algorithm units are combined to form a complete landscaping maintenance control system. The calculation of the comprehensive soil moisture value is convenient for users to understand the comprehensive status of the current soil moisture. The calculation of the maintenance irrigation amount of the target landscaping provides irrigation suggestions for landscaping maintenance personnel, and the greening maintenance control evaluation value is used to evaluate the effect of the current maintenance strategy, and adjust HQE as needed to optimize the maintenance strategy;

[0093] This garden greening maintenance control system comprehensively considers multiple groups of factors that affect soil moisture, including temperature, rainfall and wind speed, making irrigation decisions more scientific and reasonable. Secondly, by iteratively adjusting the comprehensive soil moisture value, the system can adapt to the needs of different garden greening areas and realize personalized maintenance strategies. The calculation based on the greening maintenance control evaluation value can evaluate the effect of the current maintenance strategy in real time, providing a basis for the optimization strategy. Overall, through the synergistic effect of the three algorithm units, the control system can achieve precise control of soil moisture to meet the actual needs of garden greening, and dynamically adjust the irrigation strategy to avoid waste of water resources and realize efficient use of resources, as well as real-time evaluation and strategy optimization. This control system can continuously improve the effect and efficiency of garden greening maintenance.

[0094] See also Figures 1 to 4 , the comprehensive algorithm unit of garden maintenance soil moisture is as follows:

[0095] HQW=HQE+B1+B2-B3;

[0096] B1 = HQR*(1-α*HQT);

[0097] B2 = β*HQY;

[0098] B3=γ*HQU 3 ;

[0099] in:

[0100] HQW is the comprehensive soil moisture value;

[0101] HQE is the adjustable soil base moisture value;

[0102] HQR is the current soil moisture value;

[0103] HQT is the current soil temperature value;

[0104] HQY is the 24-hour rainfall value;

[0105] HQU is the 24-hour wind speed value;

[0106] α, β, and γ are the weight values ​​of HQT, HQY, and HQU, respectively;

[0107] B1 is the value of the influence of temperature on soil moisture;

[0108] B2 is the positive impact relationship value of rainfall on soil moisture;

[0109] B3 is the negative impact relationship value of wind speed on soil moisture.

[0110] In this embodiment: more systems only consider a single soil moisture factor, while ignoring the influence of other important environmental factors such as temperature, rainfall, wind speed, etc. on soil moisture. Then, this algorithm unit firstly considers the value of (1-α*HQT) in B1 when HQT rises, thus reflecting the decrease of soil moisture caused by the temperature rise, indicating that the soil moisture decreases due to the temperature rise. When HQY increases in B2, the value of B2 will also increase, which reflects the increase of soil moisture caused by the increase of rainfall, indicating that the soil moisture increases due to the increase of rainfall. Similarly, B3 considers the influence of wind speed on the evaporation of soil moisture, and then comprehensively considers the relationship between soil moisture and various external factors through B1, B2 and B3.

[0111] As a comprehensive indicator, HQW can more accurately reflect soil moisture and its changing trends. HQW combines multiple factors such as current soil moisture value, temperature value, rainfall value and wind speed value, and can reflect the real state of soil moisture in real time. For landscaping maintenance personnel, it is an important reference indicator, which helps them understand the real-time changes in soil moisture. At the same time, HQW can be used as a reference for irrigation decisions. When HQW is low or high, it means that the soil needs irrigation or not, and irrigation should be reduced. This decision-making method based on real-time data is more scientific and reasonable than the traditional fixed time or fixed amount irrigation method. By real-time monitoring of changes in HQW values, abnormal changes in soil moisture can be discovered in time, thereby preventing damage to plants caused by excessive or insufficient irrigation. Excessive irrigation may cause soil waterlogging, root hypoxia and other problems, while insufficient irrigation may cause plant withering and growth restriction.

[0112] See also Figures 1 to 4 , the comprehensive algorithm unit of garden maintenance soil irrigation is as follows:

[0113]

[0114]

[0115] in:

[0116] HWW is the maintenance irrigation volume of the target landscape;

[0117] HWE is the target humidity value;

[0118] D1 is the relative change required to transform the comprehensive soil moisture value to the target moisture value;

[0119] max(0, D1) is a function that takes the maximum value so that HWW is not a negative number.

[0120] In this embodiment: this algorithm unit is used to calculate HWW, that is, the maintenance irrigation amount of the target garden greening, and then provide a user with an irrigation recommendation amount, which is used to guide the maintenance management personnel of the garden greening to decide whether irrigation is needed and how much irrigation is needed according to the difference between the current soil moisture and the target moisture, thereby providing comprehensive suggestions for the maintenance management of the greening. The existing garden greening maintenance control system currently lacks a mechanism that can dynamically adjust the irrigation strategy according to the real-time soil moisture and environmental conditions, which may result in too much or too little irrigation. This algorithm unit provides specific irrigation recommendations for garden greening maintenance personnel based on HWE and HQW, so that the irrigation amount can be dynamically adjusted according to the real-time soil moisture and environmental conditions to avoid excessive or too little irrigation.

[0121] The maintenance irrigation volume of the target landscaping is calculated based on real-time data, so it can be dynamically adjusted as soil moisture and environmental conditions change. This dynamic adjustment strategy can better adapt to the needs of different plants and different seasons, thereby improving irrigation efficiency. By accurately calculating the irrigation volume, waste caused by excessive irrigation can be avoided, while ensuring that plants have adequate water supply, which helps to optimize the use of water resources and reduce maintenance costs.

[0122] See also Figures 1 to 4 ,The algorithm unit for comprehensive evaluation of soil moisture and irrigation quantity for garden maintenance is as follows:

[0123]

[0124] C1=(HQW-HAW) 2 ;

[0125]

[0126] in:

[0127] HAQ is the greening maintenance control assessment value;

[0128] HAW is the average comparative value of soil moisture;

[0129] C1 is the closeness value between soil moisture and target value;

[0130] C2 is the impact amplitude of irrigation volume on greening maintenance control assessment value.

[0131] In this embodiment: First, C2 takes into account the impact of irrigation volume on the greening maintenance control evaluation value. An increase in irrigation volume may increase soil moisture but may also lead to waste of water resources or other problems. Therefore, the value of C2 increases with the increase in irrigation volume and is scaled by a factor divided by 100 to give it an appropriate weight in the comprehensive evaluation.

[0132] The unit HAQ of this algorithm is the greening maintenance control evaluation value. It is a collection and integration of HQW and HWW to measure the current soil moisture and the implementation effect of the irrigation strategy. By comparing HAQ and HAW, it can be judged whether the current maintenance strategy is effective and whether it needs to be adjusted;

[0133] This algorithm unit provides a quantitative evaluation of the maintenance effect by integrating and analyzing the comprehensive soil moisture value and the maintenance irrigation amount of the target garden greening. Therefore, it helps the garden greening maintenance personnel to understand the effect of the current maintenance strategy, so as to carry out targeted optimization. Moreover, through real-time evaluation and strategy optimization, this control system can continuously improve the maintenance efficiency and effect of the garden greening, help reduce maintenance costs, improve plant survival rate and growth quality, and thus achieve more green and sustainable garden maintenance.

[0134] See also Figures 1 to 4 ,The garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit is further as follows:

[0135] JK = a*(HAQ-HAE);

[0136] HQ new =HQE old +JK;

[0137] in:

[0138] HAE is the greening maintenance target control evaluation value;

[0139] Further calculation of HAQ yields HQE new , the HQE new Substitute it into the garden maintenance soil moisture comprehensive algorithm unit to replace the original HQR, and iterate four times.

[0140] In this embodiment: the value of HQR is adjusted by the value of HAQ in an iterative form, so that an iterative cycle correlation system is formed between the garden maintenance soil moisture comprehensive algorithm unit and the garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit. Because the existing garden greening maintenance control system does not have a more effective evaluation mechanism to provide real-time feedback on the effect of the current maintenance strategy, it is difficult to optimize the strategy. In this method, when HAQ is lower than HAE, it means that the maintenance strategy at this time is not effective, and the value of HQE needs to be increased to improve the basic level of soil moisture. Otherwise, it means that the soil moisture may be too high and the HQE value needs to be reduced. In this iterative form, HAQ can gradually approach or reach HAE, thereby optimizing the maintenance strategy and making the soil moisture closer to the target value. It can also be iteratively adjusted based on real-time soil moisture and environmental conditions to ensure that plants are always in the best growth environment to improve maintenance efficiency. Through accurate irrigation amount calculation and iterative adjustment, it can avoid waste of resources caused by over-irrigation or insufficient irrigation, and realize effective utilization of water resources. In the process of iterative cycle, it can automatically adapt to the maintenance needs of different plants, different seasons and different environmental conditions, and enhance the comprehensive adaptability of the system.

[0141] In the specific implementation process, the three algorithm units in this system are used to form a system of garden greening maintenance control system. First, the current soil moisture value, the current soil temperature value, the 24-hour rainfall value and the 24-hour wind speed value are substituted into the garden greening maintenance soil moisture comprehensive algorithm unit to calculate the comprehensive soil moisture value. The comprehensive soil moisture value is convenient for maintenance management personnel to timely understand the comprehensive status of the current soil moisture. Then, the comprehensive soil moisture value and the current soil moisture value are substituted into the garden greening maintenance soil irrigation comprehensive algorithm unit to calculate the maintenance irrigation amount of the target garden greening. The calculation of the maintenance irrigation amount of the target garden greening provides forward-looking and constructive irrigation information for garden greening maintenance personnel. Irrigation suggestions improve the maintenance effect and efficiency, and the comprehensive soil moisture value and the target garden greening maintenance irrigation amount are substituted into the garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit to calculate the greening maintenance control evaluation value, which is used to evaluate the effect of the current maintenance strategy, and adjust the calculated value of the garden maintenance soil moisture comprehensive algorithm unit as needed to optimize the maintenance strategy, so that the three algorithm units can cooperate with each other in calculation, so that the adjacent algorithm units have a high correlation and interweaving effect in operation and effect, and can also perform overall cycles and iterations, so that the overall system has the effect of automatic optimization and updating, and thus better adaptability.

[0142] Example 2: Please refer to Figures 1 to 4 ,The devices used in the data acquisition module are: soil moisture sensor, temperature sensor, rainfall sensor and wind speed sensor.

[0143] In this embodiment: sudden humidity information is collected through a soil moisture sensor, relevant temperature information is collected through a temperature sensor, and twenty-four-hour rainfall information and wind speed information are collected through a rainfall sensor and a wind speed sensor, thereby collecting the current soil moisture value, the current soil temperature value, the twenty-four-hour rainfall value, and the twenty-four-hour wind speed value.

[0144] The device used in the maintenance adjustment module is an irrigation control device, which is specifically a solenoid valve and a water pump device.

[0145] In this embodiment: irrigation of the landscaping is carried out according to the data calculated by the calculation and processing module and the analysis results, and the water pump equipment is remotely controlled by the solenoid valve to operate so that irrigation is carried out towards the landscaping, so as to achieve the purpose of landscaping maintenance control.

[0146] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The garden greening maintenance control system is characterized by: include: Data acquisition module, data transmission module, calculation and processing module, maintenance and adjustment module and monitoring and optimization module; The implementation steps are as follows: Data Collection: Temperature sensors, humidity sensors, rainfall sensors and wind speed sensors are first installed at key locations in the garden greening area through the data acquisition module, and the current soil moisture value, current soil temperature value, 24-hour rainfall value and 24-hour wind speed value are collected in real time through the data acquisition module; Data transmission: The collected data is transmitted to the data processing center based on the IoT wireless transmission technology of the data transmission module, and the received data is verified and processed; Maintenance control analysis: It is realized through the calculation processing module; Maintenance adjustment: According to the values ​​collected by the data acquisition module and the calculation results of the calculation processing module, the irrigation decision of the landscaping is made through the maintenance adjustment module; Continuous monitoring and optimization: Based on the numerical value collection of the data acquisition module and the changes in the calculated numerical values ​​of the calculation processing module, the monitoring and optimization module is used to continuously monitor the maintenance of landscaping, and the maintenance strategy is continuously optimized based on the monitoring results and data analysis.

2. The garden greening maintenance control system according to claim 1, characterized in that: The calculation processing module includes: Garden maintenance soil moisture comprehensive algorithm unit, garden maintenance soil irrigation comprehensive algorithm unit and garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit; Step 1: Substitute the current soil moisture value, current soil temperature value, 24-hour rainfall value and 24-hour wind speed value into the garden maintenance soil moisture comprehensive algorithm unit to calculate the comprehensive soil moisture value; Step 2: Substitute the comprehensive soil moisture value and the current soil moisture value into the garden maintenance soil irrigation comprehensive algorithm unit to calculate the maintenance irrigation amount of the target garden greening; Step 3: Then, the comprehensive soil moisture value and the target garden greening maintenance irrigation amount are substituted into the garden greening maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit to calculate the greening maintenance control evaluation value; Step 4: Further calculate the calculated greening maintenance control evaluation value to obtain a new adjustable soil basic moisture value. The adjustable soil basic moisture value replaces the original adjustable soil basic moisture value in the garden maintenance soil moisture comprehensive algorithm unit to affect the calculated value of the comprehensive soil moisture value and the maintenance irrigation amount of the target garden greening, and continuously adjusts the garden greening maintenance control system through iteration.

3. The garden greening maintenance control system according to claim 2, characterized in that: The garden maintenance soil moisture comprehensive algorithm unit is as follows: HQW=HQE+B1+B2-B3; B1 = HQR*(1-α*HQT); B2 = β*HQY; B3=γ*HQU 3 ; in: HQW is the comprehensive soil moisture value; HQE is the adjustable soil base moisture value; HQR is the current soil moisture value; HQT is the current soil temperature value; HQY is the 24-hour rainfall value; HQU is the 24-hour wind speed value; α, β, and γ are the weight values ​​of HQT, HQY, and HQU, respectively; B1 is the value of the influence of temperature on soil moisture; B2 is the positive impact relationship value of rainfall on soil moisture; B3 is the negative impact relationship value of wind speed on soil moisture.

4. The garden greening maintenance control system according to claim 3 is characterized in that: The garden maintenance soil irrigation comprehensive algorithm unit is as follows: in: HWW is the maintenance irrigation volume of the target landscape; HWE is the target humidity value; D1 is the relative change required to transform the comprehensive soil moisture value to the target moisture value; max(0, D1) is a function that takes the maximum value so that HWW is not a negative number.

5. The garden greening maintenance control system according to claim 4, characterized in that: The garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit is as follows: C1= ( HQW-HAW ) 2 ; in: HAQ is the greening maintenance control assessment value; HAW is the average comparative value of soil moisture; C1 is the closeness value between soil moisture and target value; C2 is the impact amplitude of irrigation volume on greening maintenance control assessment value.

6. The garden greening maintenance control system according to claim 5, characterized in that: The garden maintenance soil moisture and irrigation amount comprehensive evaluation algorithm unit is further as follows: JK = a*(HAQ-HAE); HQE new =HQE old +JK; in: HAE is the greening maintenance target control evaluation value; Further calculation of HAQ yields HQE new , the HQE new Substitute it into the garden maintenance soil moisture comprehensive algorithm unit to replace the original HQR, and iterate four times.

7. The garden greening maintenance control system according to claim 1, characterized in that: The devices used in the data acquisition module are soil moisture sensor, temperature sensor, rainfall sensor and wind speed sensor.

8. The garden greening maintenance control system according to claim 1, characterized in that: The device used in the maintenance adjustment module is an irrigation control device, and the irrigation control device is specifically a solenoid valve and a water pump device.

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