Garden greening maintenance method, device and system

Abstract

The invention discloses a garden greening maintenance method, device and system, and the method comprises the steps: determining a maintenance target, and determining the environment parameters of the maintenance target in a maintenance period; determining corresponding maintenance data by using a pre-established maintenance model according to the maintenance target and the environmental parameters; determining a maintenance product corresponding to the maintenance data; and applying the maintenance product to the maintenance target by using a pre-established park greening maintenance system. The maintenance model is established in combination with the artificial intelligence technology, the maintenance data is generated by utilizing the maintenance model in combination with the actual growth condition of the maintenance target and the environmental parameters in the maintenance period, and the maintenance scheme is formulated in a targeted mode; then, irrigation, fertilization, pesticide application and other maintenance work are automatically completed according to the maintenance data; therefore, automatic maintenance of garden greening is realized, the labor cost is reduced, the maintenance efficiency is improved, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and particularly to a method, device and system for greening maintenance in a park. Background Art

[0002] Whether it is a residential park, a commercial park, or other types of parks, greening is an indispensable part of the park. The growth state of green plants is directly related to the environment of the park. Greening maintenance is also a very important and costly part of park management.

[0003] In the prior art, greening maintenance work mainly relies on manual labor. That is, garden workers carry out work such as irrigating, fertilizing, and applying pesticides to green plants. This means that the maintenance work not only requires high labor costs, but also the maintenance effect depends on the experience and technical level of garden workers. In some cases, irrigation systems can be adopted in the park to achieve automatic irrigation of the greening. However, such systems generally can only irrigate at fixed times and in fixed amounts according to specific mechanisms, and the degree of intelligence is very limited. And its function is limited to irrigation and cannot achieve other maintenance contents.

[0004] That is to say, there is a lack of a highly intelligent and highly automated green plant maintenance solution in the prior art. Summary of the Invention

[0005] The present invention provides a method, device and system for greening maintenance in a park to achieve highly intelligent and highly automated green plant maintenance.

[0006] In a first aspect, the present invention provides a method for greening maintenance in a park, including:

[0007] Determine the maintenance target and determine the environmental parameters of the maintenance target during the maintenance period;

[0008] Utilize a pre-established maintenance model and determine corresponding maintenance data according to the maintenance target and the environmental parameters;

[0009] Determine the maintenance products corresponding to the maintenance data;

[0010] Utilize a pre-established park greening maintenance system to apply the maintenance products to the maintenance target.

[0011] Preferably, it further includes:

[0012] Determine at least one plant species and determine the growth data corresponding to the plant species;

[0013] Utilize the growth data for data model training to establish the maintenance model.

[0014] Preferably, the environmental parameters include precipitation data, light intensity data, and temperature data; determining the corresponding maintenance data according to the maintenance target and the environmental parameters includes:

[0015] Determining the type data and status data of the maintenance target;

[0016] Inputting the type data, the status data, and the environmental parameters into the maintenance model so that the maintenance model outputs the maintenance data through artificial intelligence operations;

[0017] The maintenance data includes irrigation data, fertilization data, and pesticide application data.

[0018] Preferably, determining the maintenance products corresponding to the maintenance data includes:

[0019] Determining the irrigation water volume according to the irrigation data;

[0020] Determining the fertilizer type and fertilization amount according to the fertilization data

[0021] Determining the pesticide type and dosage according to the pesticide application data.

[0022] In a second aspect, the present invention provides a system for garden greening maintenance. The system is deployed in the garden greening area and includes: a controller, a water storage device, a fertilizer storage device, a pesticide storage device, an irrigation pipeline, a fertilization pipeline, and a pesticide application pipeline;

[0023] The water storage device is used for storing water; the fertilizer storage device is used for storing at least one type of fertilizer; the pesticide storage device is used for storing at least one type of pesticide;

[0024] The controller receives the maintenance data as described in the first aspect and determines the maintenance products; the maintenance products include water, fertilizer, and / or pesticide; and controls the irrigation pipeline, the fertilization pipeline, and the pesticide application pipeline to apply the maintenance products to the maintenance target.

[0025] Preferably, applying the maintenance products to the maintenance target includes:

[0026] Using the irrigation pipeline to apply water meeting the irrigation water volume to the maintenance target;

[0027] Using the fertilization pipeline to apply fertilizer meeting the fertilizer type and fertilization amount to the maintenance target;

[0028] Using the pesticide application pipeline to apply pesticide meeting the pesticide type and dosage to the maintenance target.

[0029] Preferably, it further includes:

[0030] The sensor component is used to collect the environmental parameters of the maintenance target during the maintenance period and to collect the status data of the maintenance target.

[0031] In a third aspect, the present invention provides a device for maintaining park greening, comprising:

[0032] An environmental parameter acquisition module is used to determine a maintenance target and determine the environmental parameters of the maintenance target during the maintenance period;

[0033] A maintenance data determination module, used to determine corresponding maintenance data using a pre-established maintenance model and according to the maintenance target and the environmental parameters;

[0034] A maintenance product determination module, used to determine the maintenance product corresponding to the maintenance data;

[0035] The maintenance module is used to apply the maintenance product to the maintenance target by using a pre-established park greening maintenance system.

[0036] In a fourth aspect, the present invention provides a readable medium, comprising execution instructions. When a processor of an electronic device executes the execution instructions, the electronic device executes any method described in the first aspect.

[0037] In a fifth aspect, the present invention provides an electronic device, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor executes any method described in the first aspect.

[0038] The present invention provides a method, device and system for maintaining park greening, which establishes a maintenance model by combining artificial intelligence technology, generates maintenance data by using the maintenance model and combining the actual growth conditions of the maintenance target and the environmental parameters during the maintenance period, and formulates a targeted maintenance plan; then, irrigation, fertilization, pesticide application and other maintenance work are automatically completed according to the maintenance data; thereby, automatic maintenance of park greening is achieved, labor costs are reduced, maintenance efficiency is improved, and maintenance costs are reduced.

[0039] The further effects of the above-mentioned non-conventional preferred manner will be described below in conjunction with specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the existing technical solutions, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0041] Figure 1 Schematic flow chart of a method for garden greening maintenance provided by an embodiment of the present invention;

[0042] Figure 2 Schematic flow chart of establishing a maintenance model in a method for garden greening maintenance provided by an embodiment of the present invention;

[0043] Figure 3 Schematic structural diagram of a system for garden greening maintenance provided by an embodiment of the present invention;

[0044] Figure 4 Schematic structural diagram of a device for garden greening maintenance provided by an embodiment of the present invention;

[0045] Figure 5 Schematic structural diagram of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0046] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] Whether it is a residential park, a commercial park, or other types of parks, greening is an indispensable part of the park. The growth state of green plants is directly related to the environment of the park. Greening maintenance is also a very important and costly part of park management.

[0048] In the prior art, greening maintenance work mainly relies on manual labor. That is, garden workers perform tasks such as irrigating, fertilizing, and applying pesticides to green plants. This means that the maintenance work not only requires high labor costs, but also the maintenance effect depends on the experience and technical level of garden workers. For example, in the case where there are multiple different plants in the park greening area, each plant has different habits, and its requirements for conditions such as water and light are also different. Of course, the growth state and disease conditions of individuals are also different, and all these require garden workers to carry out targeted treatments and manually formulate different maintenance plans. Specifically, it can include irrigating, fertilizing, and applying pesticides to different plants. The above process is generally completely dependent on manual labor, and the implementation effect also depends on the technical level of garden workers. On the one hand, the labor cost is high, and on the other hand, it is not easy to form a unified and standardized plan.

[0049] In some cases, an irrigation system can be adopted in the park to achieve automated irrigation for the greenery. However, such systems generally can only irrigate at fixed times and in fixed quantities according to a specific mechanism, and their intelligence level is very limited. That is to say, the automatic irrigation in this way cannot take into account the differences in the irrigation requirements of different plants. Nor does it consider the impact of environmental factors on irrigation requirements. For example, if there has been rainy weather recently, then the demand for irrigation by plants will decrease. If it has been hot and dry recently, then the demand for the irrigation volume will increase. And how to quantify this decrease and increase, the irrigation system cannot automatically calculate. In addition, the functions of existing automatic irrigation systems are limited to irrigation and cannot achieve other maintenance contents besides this. Its role is still limited. It can neither achieve comprehensive automation and intelligence nor complete various types of maintenance projects.

[0050] That is to say, there is a lack of a highly intelligent and highly automated green plant maintenance solution in the existing technology.

[0051] In view of this, the present invention provides a method for maintaining the greenery in the park. See Figure 1 As shown, it is a specific embodiment of the method for maintaining the greenery in the park provided by the present invention. In this embodiment, the method includes:

[0052] Step 101: Determine the maintenance target and determine the environmental parameters of the maintenance target during the maintenance period.

[0053] The so-called maintenance target is a specific type of green plant that needs to be maintained in the park. According to different factors such as plant species, age, and health status, the specific maintenance methods required will also be different.

[0054] In addition, the specific environment in which the plant grows will also affect the maintenance method. Therefore, it is also necessary to determine the environmental parameters of the maintenance target during the maintenance period. The maintenance period refers to a specific time range recently, such as the recent week, the recent month, the recent three months, and so on. And the environmental parameters are some key parameters that are important during the maintenance period and affect the growth state of the plant. For example, the environmental parameters include precipitation data, light quantity data, and temperature data. These will also affect the maintenance methods required by the plant.

[0055] Step 102: Utilize a pre-established maintenance model and determine the corresponding maintenance data according to the maintenance target and the environmental parameters.

[0056] In this embodiment, maintenance data will be determined through artificial intelligence technology, and the maintenance data represents the specific method for maintaining the maintenance target next. In this embodiment, the maintenance model is obtained by pre-training data based on artificial intelligence technology. It can perform comprehensive calculation and analysis based on the type of the maintenance target, the current growth state, and the environmental parameters during the maintenance period, so as to determine how to maintain the maintenance target next.

[0057] Specifically, the type data and status data of the maintenance target can be determined. The type data reflects the types of maintenance targets, such as poplar trees, willow trees, peach trees, etc. The status data reflects the current growth state of the maintenance target. The status data can be determined by observing and inspecting the maintenance target.

[0058] Then, the type data, the status data, and the environmental parameters are input into the maintenance model. The maintenance model can then perform artificial intelligence operations on various types of data and output the maintenance data. The maintenance data includes irrigation data, fertilization data, and pesticide application data. Determining the specific maintenance data is equivalent to formulating a targeted maintenance plan.

[0059] Taking irrigation as an example, different maintenance targets (i.e., different plant types) have different drought tolerance levels and water requirements. Moreover, the temperature data and precipitation data in the environmental parameters will also affect the water requirements of plants. During periods of high temperature and low precipitation, additional water needs to be supplemented through irrigation. On the contrary, during periods of high precipitation, irrigation needs to be reduced or even not required. In the prior art, the specific number of irrigation times and irrigation water volume often need to be mastered by gardeners relying on experience. In this embodiment, this data will be calculated through artificial intelligence technology.

[0060] The same applies to fertilization data and pesticide application data. Fertilization and pesticide application have both seasonal requirements and individual differences (individual differences can be reflected by status data). There are multiple types of fertilizers and pesticides, and it is even more necessary to select and set the dosage in combination with the actual situation. In this embodiment, these specific data can all be obtained through the maintenance model.

[0061] Step 103: Determine the maintenance items corresponding to the maintenance data.

[0062] In the irrigation data, the corresponding maintenance item is water. The irrigation data can indicate the current number of irrigation times and the water consumption. In the fertilization data, the maintenance item is a specific type of fertilizer, that is, the fertilizer type. And it is also necessary to further determine the fertilization amount. In the pesticide application data, the maintenance item is a specific type of pesticide, that is, the pesticide type, and it is also necessary to further determine the dosage.

[0063] Determining the maintenance data and the corresponding maintenance products is equivalent to determining the specific plan for maintaining the maintenance target next. That is, it is necessary to actually apply the maintenance products (water, fertilizers, pesticides) to the maintenance target, and this completes the current maintenance work.

[0064] Step 104: Use the pre-established park greening maintenance system to apply the maintenance products to the maintenance target.

[0065] In this embodiment, to achieve automated maintenance, the specific maintenance plan will be executed using the greening maintenance system, that is, using this system to apply the maintenance products to the maintenance target. This system is deployed in the park greening area and can be intelligently controlled. There are independent pipelines for each type of maintenance product, and irrigation, fertilization, and pesticide application can be carried out separately.

[0066] From the above technical solutions, it can be seen that the beneficial effects of this embodiment are as follows: Establish a maintenance model by combining artificial intelligence technology, use the maintenance model, and combine the actual growth conditions of the maintenance target and the environmental parameters during the maintenance period to generate maintenance data, and formulate a targeted maintenance plan; then automatically complete maintenance work such as irrigation, fertilization, and pesticide application according to the maintenance data; thereby, realizing the automatic maintenance of park greening, reducing labor costs, improving maintenance efficiency, and reducing maintenance costs.

[0067] In Figure 1 Based on the shown embodiment, the method for establishing the above-mentioned maintenance model will be further disclosed below. As Figure 2 shown. In this embodiment, the process of establishing the maintenance model includes the following steps:

[0068] Step 201: Determine at least one plant species and determine the growth data corresponding to the plant species.

[0069] Step 202: Use the growth data for data model training to establish the maintenance model.

[0070] In this embodiment, the maintenance model can be obtained by using the supervised learning training method. For the specific training process, a certain specific plant category can be used as a benchmark, and different types of plants need to be trained separately. Because the growth laws of different plants and the requirements for various maintenance products are different. For example, taking the peach tree as an example to train the maintenance model, this maintenance model can calculate the growth laws of the peach tree in different seasons, different tree ages, and different natural environments, so as to give the maintenance data and formulate the next maintenance plan.

[0071] For data training, an original model needs to be selected first. In this embodiment, a current mainstream artificial intelligence model can be used. In other cases, the original model can also be established by oneself, which will not be elaborated here. Then, various historical data required for training, that is, growth data, also need to be collected. The growth data needs to reflect historical environmental parameters (including temperature, precipitation, light intensity, etc.) within a specific time range, historical maintenance plans (including irrigation volume, fertilizer types and dosages, pesticide types and dosages), as well as various situations such as the growth conditions of the plants themselves and whether diseases occur. Such data is substituted into the original model for supervised learning training, and after the training is completed, a maintenance model is obtained.

[0072] Subsequently, only by inputting the environmental parameters during the maintenance period and the status data of the maintenance target itself into the maintenance model, the maintenance model can calculate reasonable maintenance data. Thus, the determination of the maintenance plan no longer depends on the experience of garden workers, and can be more unified and standardized. And it also improves the efficiency of plan formulation.

[0073] It should also be noted that if the maintenance targets in the park include three types of plants, namely A, B, and C, then due to the different characteristics of different plants, for the maintenance model, it is necessary to train for the three types of plants separately. Each type of plant should correspond to a "small model" and perform analysis and operations independently.

[0074] For example, different plants have different water demand for irrigation. Under the premise of a specific precipitation, plant A may no longer need additional irrigation, and additional irrigation may cause waterlogging. But for plant B, this precipitation cannot meet its needs, so additional irrigation must be carried out, otherwise it may cause drought. In this way, the maintenance plans for different plants need to be formulated separately and cannot be generalized.

[0075] As Figure 3 shown, it is a specific embodiment of a system for greening maintenance in a park according to the present invention. The system in this embodiment is an entity device that executes Figure 1 the method described above, that is, the actual executor of the maintenance plan. The system in this embodiment is specifically as follows:

[0076] The system is deployed in the greening area of the park and includes: a controller 10, a water storage device 20, a fertilizer storage device 30, a pesticide storage device 40, an irrigation pipeline 21, a fertilization pipeline 31, and a pesticide application pipeline 41.

[0077] Among them, the controller 10 may include a processing chip, a memory, and a communication component (not shown in the figure). The communication component can be used to receive the generated maintenance data. The memory can store the maintenance data and determine the maintenance items through the processing chip.

[0078] The maintenance products include water, specific types of fertilizers and / or specific types of pesticides. Usually, various maintenance products are stored in the system in categories. That is, water is stored in the water storage device 20, fertilizers are stored in the fertilizer storage device 30, and pesticides are stored in the pesticide storage device 40. Moreover, the fertilizer storage device 30 and the pesticide storage device 40 can include multiple independent compartments, and each compartment stores one type of fertilizer or pesticide to avoid mixing with each other. The so-called determined maintenance products mean that the controller 10 calls specific doses of specific maintenance products from the irrigation pipeline 21, the fertilization pipeline 22, and the pesticide application pipeline 23 according to the maintenance data.

[0079] Then the controller can control the irrigation pipeline 21, the fertilization pipeline 31, and the pesticide application pipeline 41 to apply the maintenance products to the maintenance target. It should be noted that one end of the irrigation pipeline 21, the fertilization pipeline 31, and the pesticide application pipeline 41 needs to be deployed in the greening area and is provided with a spraying port to be able to apply the maintenance products to the maintenance target. In the case of a large greening area, the number of the irrigation pipeline 21, the fertilization pipeline 31, and the pesticide application pipeline 41 can also be more than one, which should meet the requirements to ensure that any maintenance target can be operated. The other ends of each pipeline are connected to the storage devices of the maintenance products. That is, the irrigation pipeline 21 is connected to the water storage device 20, the fertilization pipeline 31 is connected to the fertilizer storage device 30, and the pesticide application pipeline 41 is connected to the pesticide storage device 40.

[0080] After determining the maintenance products, the controller 10 needs to control each pipeline to apply the maintenance products to the maintenance target. That is, using the irrigation pipeline 21, water meeting the irrigation water consumption is applied to the maintenance target; using the fertilization pipeline 31, fertilizers meeting the fertilizer type and fertilization amount are applied to the maintenance target; using the pesticide application pipeline 41, pesticides meeting the pesticide type and dosage are applied to the maintenance target. So far, the maintenance plan calculated by the maintenance model has been executed, and the execution process can be realized automatically relying on this system, reducing the dependence on manual labor and improving the efficiency of greening maintenance.

[0081] Additionally, preferably, the system can also include a sensing component 50. The sensing component 50 can be used to collect the environmental parameters of the maintenance target during the maintenance period and collect the status data of the maintenance target. Specifically, the sensing component 50 can include various types of sensors. Some of them can be deployed in the greening area to collect environmental parameters. For example, it can include various sensors for detecting precipitation, illuminance, and temperature, and can also monitor the content of oxygen and carbon dioxide in the air. Some can be deployed in the soil to monitor soil humidity, the content of various trace elements, and the pH value. Another part can be directly deployed on the maintenance target to collect the status data of the maintenance target. For example, it can collect the water content, the content of various trace elements, the content of sugar and starch, etc. of the maintenance target itself, and can also monitor its disease condition.

[0082] The sensing component can transmit data back based on Internet of Things technology, thereby serving as the necessary data for inputting into the maintenance model.

[0083] As Figure 4 shown, it is a specific embodiment of the method and device for garden greening maintenance described in the present invention. The device in this embodiment is the physical device for executing Figure 1 the method described above. The device in this embodiment includes:

[0084] An environmental parameter acquisition module 401, configured to determine a maintenance target and determine the environmental parameters of the maintenance target during the maintenance period.

[0085] The so-called maintenance target is a specific type of green plant that needs to be maintained in the garden. According to different factors such as plant species, age, and health status, the specific maintenance methods required will also be different.

[0086] In addition, the specific environment in which the plant grows will also affect the maintenance method. Therefore, it is also necessary to determine the environmental parameters of the maintenance target during the maintenance period. The maintenance period refers to a specific time range coming up, such as the recent week, the recent month, the recent three months, and so on. And the environmental parameters are some key parameters that are important during the maintenance period and affect the growth state of the plant. For example, the environmental parameters include precipitation data, light intensity data, and temperature data. These will also affect the maintenance methods required for the plant.

[0087] A maintenance data determination module 402, configured to utilize a pre-established maintenance model and determine corresponding maintenance data according to the maintenance target and the environmental parameters.

[0088] In this embodiment, the maintenance data will be determined through artificial intelligence technology. The maintenance data represents the specific method for maintaining the maintenance target next. In this embodiment, the maintenance model is obtained by pre-training data based on artificial intelligence technology. It can perform comprehensive calculation and analysis according to the type of the maintenance target, the current growth state, and the environmental parameters during the maintenance period, so as to determine how to maintain the maintenance target next.

[0089] Specifically, the type data and status data of the maintenance target can be determined. The type data reflects the type of the maintenance target, such as poplar, willow, peach tree, etc. The status data reflects the current growth state of the maintenance target. The status data can be determined by observing and inspecting the maintenance target.

[0090] Then, input the type data, the status data, and the environmental parameters into the maintenance model. The maintenance model can perform artificial intelligence operations on various types of data and output the maintenance data. The maintenance data includes irrigation data, fertilization data, and pesticide application data. Determining the specific maintenance data is equivalent to formulating a targeted maintenance plan.

[0091] Taking irrigation as an example, different maintenance objectives (i.e., different plant types) have different drought tolerance levels and water requirements. Moreover, the temperature data and precipitation data in the environmental parameters will also affect the water requirements of plants. During periods of high temperature and low precipitation, additional water needs to be supplemented through irrigation. Conversely, during periods of heavy precipitation, irrigation needs to be reduced or even not required. In the prior art, the specific number of irrigation times and irrigation water volume often need to be mastered by gardeners based on experience. In this embodiment, this data will be calculated through artificial intelligence technology.

[0092] The same applies to fertilization data and pesticide application data. Fertilization and pesticide application have both seasonal requirements and individual differences (individual differences can be reflected by the status data). There are multiple types of fertilizers and pesticides, and it is even more necessary to select and set the dosage in combination with the actual situation. In this embodiment, these specific data can all be obtained through the maintenance model.

[0093] The maintenance data determination module 402 may specifically include:

[0094] The status data determination unit 421 is used to determine the type data and status data of the maintenance objective.

[0095] The data operation unit 422 is used to input the type data, the status data, and the environmental parameters into the maintenance model, so that the maintenance model outputs the maintenance data through artificial intelligence operations.

[0096] The maintenance product determination module 403 is used to determine the maintenance products corresponding to the maintenance data.

[0097] In the irrigation data, the corresponding maintenance product is water. The irrigation data can indicate the current number of irrigation times and the water consumption. In the fertilization data, the maintenance product is a specific type of fertilizer, that is, the fertilizer type. And it is also necessary to further determine the fertilization amount. In the pesticide application data, the maintenance product is a specific type of pesticide, that is, the pesticide type, and it is also necessary to further determine the dosage.

[0098] Determining the maintenance data and the corresponding maintenance products is equivalent to determining the specific plan for maintaining the maintenance objective next. That is, it is necessary to actually apply the maintenance products (water, fertilizer, pesticide) to the maintenance objective, and thus complete the current maintenance work.

[0099] The maintenance product determination module 403 may specifically include:

[0100] A water quantity determination unit 431 is configured to determine the irrigation water consumption according to the irrigation data.

[0101] A fertilizer determination unit 432 is configured to determine the fertilizer type and the fertilization amount according to the fertilization data.

[0102] A pesticide determination unit 433 is configured to determine the pesticide type and the pesticide amount according to the pesticide application data.

[0103] A maintenance module 404 is configured to apply the maintenance products to the maintenance target by using a pre-established park greening maintenance system.

[0104] In this embodiment, to achieve automated maintenance, a specific maintenance plan will be executed by using the greening maintenance system, that is, the maintenance products are applied to the maintenance target by using this system. The system is deployed in the park greening area and can be intelligently controlled. There are independent pipelines for each type of maintenance product, and irrigation, fertilization, and pesticide application can be carried out separately.

[0105] In addition, based on Figure 4 the shown embodiment, preferably, it further includes:

[0106] A maintenance model determination module 405 is configured to determine at least one plant species and determine the growth data corresponding to the plant species; perform data model training by using the growth data to establish the maintenance model.

[0107] Figure 5 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include a memory, such as a high-speed random access memory (Random-Access Memory, RAM), and may also include a non-volatile memory, such as at least one disk memory, etc. Of course, the electronic device may also include other hardware required for other services.

[0108] The processor, the network interface, and the memory can be interconnected through the internal bus, and the internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation,Figure 5 It is represented by only one bidirectional arrow, but it does not mean that there is only one bus or one type of bus.

[0109] A memory for storing executable instructions. Specifically, the executable instructions are computer programs that can be executed. The memory may include a memory and a non-volatile memory, and provide the executable instructions and data to the processor.

[0110] In a possible implementation manner, the processor reads the corresponding executable instructions from the non-volatile memory into the memory and then runs them, or can also obtain the corresponding executable instructions from other devices to form a device for garden greening maintenance at the logical level. The processor executes the executable instructions stored in the memory to implement the method for garden greening maintenance provided in any embodiment of the present invention through the executed executable instructions.

[0111] The above as in the present invention Figure 4 The method executed by the device for garden greening maintenance provided in the embodiments shown above can be applied to or implemented by the processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by the integrated logic circuit in the hardware of the processor or by instructions in software form. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute each method, step and logic block diagram disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0112] The steps of the method disclosed in combination with the embodiments of the present invention can be directly embodied as being completed by the hardware decoding processor, or completed by a combination of the hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method.

[0113] An embodiment of the present invention also provides a readable medium. The readable storage medium stores execution instructions. When the stored execution instructions are executed by a processor of an electronic device, the electronic device can execute the method for garden greening maintenance provided in any embodiment of the present invention, and is specifically used for executing as Figure 1 the method shown.

[0114] The electronic device described in each of the foregoing embodiments may be a computer.

[0115] Those skilled in the art should understand that the embodiments of the present invention may be provided as a method or a computer program product. Therefore, the present invention may be implemented in the form of a complete hardware embodiment, a complete software embodiment, or a combination of software and hardware.

[0116] The embodiments of the present invention are described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

[0117] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, so that a process, method, commodity or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "including a..." does not exclude the presence of another identical element in the process, method, commodity or device including the said element.

[0118] The above are only the embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims

1. A method for maintaining park greening, characterized in that: include: Determine the maintenance objectives and determine the environmental parameters of the maintenance objectives during the maintenance period; Using a pre-established maintenance model, and according to the maintenance target and the environmental parameters, determining corresponding maintenance data; Determine the maintenance product corresponding to the maintenance data; The maintenance product is applied to the maintenance target using a pre-established park greening maintenance system.

2. The method according to claim 1, characterized in that: Also includes: determining at least one plant species and determining growth data corresponding to the plant species; The growth data is used to perform data model training to establish the maintenance model.

3. The method according to claim 1, characterized in that: The environmental parameters include precipitation data, light data and temperature data; the corresponding maintenance data determined according to the maintenance target and the environmental parameters includes: Determining type data and status data of the maintenance target; Inputting the type data, the state data and the environmental parameters into the maintenance model, so that the maintenance model outputs the maintenance data through artificial intelligence calculation; The maintenance data includes irrigation data, fertilization data and pesticide application data.

4. The method according to claim 3, characterized in that: The determining of the maintenance product corresponding to the maintenance data comprises: Determining irrigation water quantity according to the irrigation data; Determine the type and amount of fertilizer based on the fertilization data The type and amount of pesticide are determined according to the pesticide application data.

5. A system for maintaining greenery in a park, characterized in that: The system is deployed in the greening area of ​​the park, and includes: a controller, a water storage tank, a fertilizer storage tank, a medicine storage tank, an irrigation pipeline, a fertilizer pipeline, and a medicine pipeline; The water storage container is used to store water; the fertilizer storage container is used to store at least one type of fertilizer; the medicine storage container is used to store at least one type of pesticide; The controller receives the maintenance data as described in any one of claims 1 to 4, and determines the maintenance products; the maintenance products include water, fertilizers and / or pesticides; and controls the irrigation pipeline, the fertilization pipeline and the pesticide application pipeline to apply the maintenance products to the maintenance target.

6. The system according to claim 5, characterized in that: Applying the maintenance product to the maintenance target includes: Using the irrigation pipeline, water that meets the irrigation water quantity is applied to the maintenance target; Using the fertilization pipeline, fertilizers that meet the fertilizer type and fertilizer amount are applied to the maintenance target; The pesticide application pipeline is used to apply pesticides that meet the pesticide type and dosage to the maintenance target.

7. The system according to claims 5-6, characterized in that: Also includes: The sensor component is used to collect the environmental parameters of the maintenance target during the maintenance period and to collect the status data of the maintenance target.

8. A device for maintaining greenery in a park, characterized in that: include: An environmental parameter acquisition module is used to determine a maintenance target and determine the environmental parameters of the maintenance target during the maintenance period; A maintenance data determination module, used to determine corresponding maintenance data using a pre-established maintenance model and according to the maintenance target and the environmental parameters; A maintenance product determination module, used to determine the maintenance product corresponding to the maintenance data; The maintenance module is used to apply the maintenance product to the maintenance target by using a pre-established park greening maintenance system.

9. A computer-readable storage medium storing a computer program, wherein the computer program is used to execute the method for maintaining park greening as described in any one of claims 1 to 4.

10. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the method for maintaining park greening as described in any one of claims 1-4 above.

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