Potted plant irrigation regulation and control method, device and system and storage medium

Abstract

The invention relates to the technical field of potted plant irrigation, and discloses a potted plant irrigation regulation and control method, device and system and a storage medium. First soil state information, detected by a detection device, of a potted plant is obtained, and a predicted irrigation strategy is determined according to the first soil state information and a preset irrigation strategy model; and the irrigation device is controlled to irrigate the potted plants according to the predicted irrigation strategy, so that intelligent and personalized management of potted plant irrigation is realized. The soil change state of the potted plant detected by the detection device within the preset time interval when irrigation starts is obtained, the soil state change curve is generated, the preset irrigation strategy model is adjusted according to the soil state change curve, the irrigation strategy is adjusted in time, the irrigation accuracy and the resource utilization rate are improved, and healthy growth of plants is facilitated.

Description

Technical Field

[0001] This application relates to the field of potted plant irrigation technology, and in particular to a potted plant irrigation control method, device, system and storage medium. Background Technology

[0002] Potted plants refer to cultivation methods where plants are grown in containers of limited volume, and the supply of substrate, water, and nutrients is artificially controlled to meet their growth needs. Compared to traditional ground planting, potted plants have advantages such as high space utilization, strong environmental controllability, and ease of movement and management, and are widely used in home gardening, commercial landscaping, scientific research experiments, and agricultural facility cultivation. Irrigation is a core element in maintaining the healthy growth of potted plants, and its effectiveness directly affects the plant's photosynthetic efficiency, nutrient absorption, and stress resistance. With the rapid development of modern agricultural technology, automated irrigation technology is gradually being applied to potted plant care to improve efficiency. Specifically, automated irrigation is achieved by controlling the irrigation device to execute a preset irrigation strategy through a controller.

[0003] Currently, automated irrigation for potted plants mainly uses fixed strategies to perform irrigation operations, that is, preset uniform irrigation duration, frequency and water volume thresholds. This cannot meet the dynamic needs of plants at different growth stages, resulting in problems such as insufficient irrigation accuracy, waste of resources and impact on plant growth. Summary of the Invention

[0004] To address the aforementioned technical problems, embodiments of this application provide a method, apparatus, system, and storage medium for regulating potted plant irrigation, which can improve irrigation accuracy and resource utilization.

[0005] In a first aspect, embodiments of this application provide a potted plant irrigation control method, applied to a potted plant irrigation control system, the potted plant irrigation control system including a detection device and an irrigation device, the method comprising: acquiring first soil state information of the potted plant detected by the detection device; determining a predicted irrigation strategy based on the first soil state information and a preset irrigation strategy model; controlling the irrigation device to perform irrigation operations on the potted plant according to the predicted irrigation strategy; acquiring the soil change state of the potted plant detected by the detection device within a preset time interval before irrigation begins, and generating a soil state change curve; adjusting the preset irrigation strategy model according to the soil state change curve.

[0006] In some embodiments, the first soil state information includes soil moisture content, soil electrical conductivity, and soil temperature, and the predicted irrigation strategy includes at least water flow patterns, irrigation triggering conditions, and irrigation stopping conditions.

[0007] In some embodiments, the irrigation triggering condition includes soil condition information reaching or exceeding a preset irrigation threshold; the irrigation stopping condition includes soil condition information reaching or exceeding a preset demand threshold.

[0008] In some embodiments, the method further includes: determining whether a preset irrigation effect has been achieved based on the soil state change curve and preset judgment conditions; if the preset irrigation effect has not been achieved, then executing a preset abnormality handling strategy.

[0009] In some embodiments, the step of executing a preset anomaly handling strategy if the preset irrigation effect is not achieved further includes: dividing the preset time interval into a first time interval and a second time interval in chronological order; if the soil state information of the potted plant does not reach the preset effect threshold in either the first time interval or the second time interval, then determining that the potted plant is in a first abnormal state and executing the first anomaly handling strategy; if the soil state information of the potted plant exceeds the preset effect threshold in the first time interval but does not reach the preset effect threshold in the second time interval, then determining that the potted plant is in a second abnormal state and executing the second anomaly handling strategy.

[0010] In some embodiments, the method further includes: acquiring status information of the detection device; determining a non-working period of the detection device based on the status information; dividing the non-working period into multiple candidate time periods; determining one or more cleaning time periods based on the multiple candidate time periods; determining a cleaning time point based on the cleaning time period; and controlling the detection device to perform self-cleaning when the cleaning time point is reached.

[0011] In some embodiments, the method further includes: acquiring second soil state information of the potted plant after irrigation; and adjusting the preset irrigation strategy model based on the second soil state information.

[0012] Secondly, embodiments of this application provide a potted plant irrigation control device, including a first acquisition module, a determination module, a control module, a second acquisition module, a judgment module, and a processing module. The first acquisition module is used to acquire first soil state information of the potted plant detected by the detection device. The determination module is used to determine a predicted irrigation strategy based on the first soil state information and a preset irrigation strategy model. The control module is used to control the irrigation device to perform irrigation operations on the potted plant according to the predicted irrigation strategy. The second acquisition module is used to acquire the soil change state of the potted plant detected by the detection device within a preset time interval before irrigation begins, and generate a soil state change curve. The adjustment module is used to adjust the preset irrigation strategy model according to the soil state change curve.

[0013] Thirdly, embodiments of this application provide a potted plant irrigation control system, including a detection device, an irrigation device, at least one processor, and a memory. The detection device is used to detect the soil condition of the potted plant, the irrigation device is used to irrigate the potted plant, the at least one processor is communicatively connected to the detection device and the irrigation device respectively, and the memory is communicatively connected to the at least one processor. The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the above-described method.

[0014] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program or instructions, which, when executed, implement the above-described method.

[0015] The beneficial effects of the embodiments of this application are as follows: Unlike the prior art, the embodiments of this application provide a potted plant irrigation control method. By acquiring the soil state information of the potted plant and combining it with a preset irrigation strategy model to generate an accurate predictive irrigation strategy, the intelligent and personalized management of potted plant irrigation control is realized. Furthermore, the preset irrigation strategy model is adjusted according to the soil change state curve during the irrigation process, and the irrigation strategy is adjusted in a timely manner, which improves the accuracy of irrigation and the utilization rate of resources, and is conducive to the healthy growth of plants. Attached Figure Description

[0016] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0017] Figure 1 This is a schematic diagram of the structure of a potted plant irrigation control system provided in an embodiment of this application; Figure 2 This is a schematic diagram of the structure of a potted plant irrigation control system provided in an embodiment of this application; Figure 3 This is a schematic flowchart of a potted plant irrigation control method provided in an embodiment of this application; Figure 4 This is a partial flowchart illustrating a potted plant irrigation control method provided in an embodiment of this application; Figure 5 yes Figure 4 The diagram shows a sub-process flow chart of step S70 in the potted plant irrigation control method. Figure 6 This is a schematic diagram of the structure of a potted plant irrigation control device provided in an embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] It should be noted that, unless there is a conflict, the various features in the embodiments of this application can be combined with each other, all of which are within the protection scope of this application. In addition, the terms "first" and "second" used in this application do not limit the data, but only distinguish the same or similar items with basically the same function and effect.

[0020] Please see Figure 1 , Figure 1 This is a schematic diagram of the structure of a potted plant irrigation control system 100 provided in an embodiment of this application.

[0021] like Figure 1 As shown, the potted plant irrigation control system 100 includes a detection device 1, an irrigation device 2, at least one processor 3, and a memory 4. The at least one processor 3 is communicatively connected to the detection device 1, the irrigation device 2, and the memory 4. The detection device 1 is used to detect the soil condition of the potted plant. The irrigation device 2 is used to irrigate the potted plant. The memory 4 stores at least one executable instruction, which, when executed by the at least one processor 3, enables the at least one processor 3 to perform the potted plant irrigation control method of any of the following embodiments.

[0022] In some embodiments, a potted plant includes a pot, soil, and a plant, with the soil disposed within the pot and at least a portion of the plant located in the soil.

[0023] In some embodiments, the detection device 1 is disposed in the basin, and the detection device 1 is used to detect the state of the soil in the basin and generate soil state information which is sent to the processor 3. The soil state information includes at least soil moisture content, soil electrical conductivity, and soil temperature. The soil state information is data at a certain moment, or a set of multiple data points continuously collected over a period of time at a preset sampling frequency.

[0024] In some embodiments, the detection device 1 includes at least one soil state sensor, whose detection probe extends into the soil to detect soil moisture content, soil electrical conductivity, and soil temperature. In some examples, the soil state sensor is a multi-parameter composite sensor capable of detecting soil moisture content, soil electrical conductivity, and soil temperature in a target area. In other examples, the soil state sensor includes a moisture sensor, a conductivity sensor, and a temperature sensor, respectively used to detect soil moisture content, soil electrical conductivity, and soil temperature.

[0025] In some embodiments, soil condition sensors are layered and positioned at different depths in the soil. Specifically, based on the root growth characteristics of potted plants and the distribution patterns of soil moisture and nutrients, the soil is divided into multiple layers, and a soil condition sensor is installed at each layer. By collecting soil condition information layer by layer, the true state of the soil can be obtained more accurately and comprehensively.

[0026] In some embodiments, the sensor also includes a self-cleaning mode to remove soil particles, salt crystals, or microbial films adhering to the surface of the detection probe, reducing the risk of contaminants affecting detection accuracy. Specifically, the self-cleaning mode applies a high-frequency pulsed current to the detection probe, utilizing the minute vibrations and thermal effects generated by the current to loosen and remove impurities adhering to the probe surface. The detection probe also features an antifouling layer to further enhance the self-cleaning effect and extend the probe's lifespan. This antifouling layer is made of nanomaterials and possesses superhydrophobic and superoleophobic properties, effectively preventing moisture, salt, and oily substances from the soil from adhering to the probe surface. Once the high-frequency pulsed current loosens the impurities, the superhydrophobic properties of the antifouling layer allow these impurities to slide off naturally under gravity or slight airflow without re-adhering.

[0027] In some embodiments, the detection device 1 further includes a microenvironment sensor disposed on the rim of the pot, for detecting the microenvironmental state of the potted area and generating microenvironmental state information. The microenvironmental state information includes at least light intensity, air humidity, and air temperature. The microenvironment sensor includes a light intensity sensor, an air humidity sensor, and an air temperature sensor, for detecting light intensity, air humidity, and air temperature, respectively.

[0028] In some embodiments, the irrigation device 2 includes a water source interface, a water supply pipeline, irrigation nozzles, and a smart control valve. The water source interface is used to connect to an external water source, such as a tap water pipe or a water storage tank. The water supply pipeline connects the water source interface to one or more irrigation nozzles, with one irrigation nozzle corresponding to one potted plant. The smart control valve is located in the water supply pipeline and is communicatively connected to the processor 3, precisely adjusting the flow and volume of water according to control commands sent by the processor 3.

[0029] In some embodiments, please refer to Figure 2 The potted plant irrigation control system 100 also includes a positioning device 5, which is communicatively connected to the processor 3. The positioning device 5 is used to be installed on the pot of each potted plant to obtain the real-time location information of the corresponding potted plant and transmit the location information to the processor 3, thereby realizing accurate identification and zoned management of multiple potted plants. The positioning device 5 can use a Bluetooth positioning module, an ultra-wideband positioning module, or an RFID tag to obtain the three-dimensional coordinates or area number of the potted plant in space.

[0030] The processor 3 and memory 4 can be connected via a bus or other means. The processor 3 is used to execute the potted plant irrigation control method in any embodiment of this application, for example: acquiring the first soil state information of the potted plant detected by the detection device 1; determining a predicted irrigation strategy based on the first soil state information and a preset irrigation strategy model; controlling the irrigation device 2 to perform irrigation operations on the potted plant according to the predicted irrigation strategy; acquiring the soil change state of the potted plant detected by the detection device 1 within a preset time interval before irrigation begins, and generating a soil state change curve; adjusting the preset irrigation strategy model according to the soil state change curve.

[0031] The memory 4, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules corresponding to the potted plant irrigation control method in this embodiment of the invention. The processor 3 executes various functional applications and data processing of the detection device 1 and the irrigation device 2 by running the non-volatile software programs, instructions, and modules stored in the memory 4, thereby realizing the potted plant irrigation control method of this application embodiment.

[0032] Memory 4 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 4 may optionally include memory remotely located relative to processor 3. Examples of the above-described networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0033] The potted plant irrigation control method in any embodiment of this application can be divided into one or more functional modules stored in the memory 4. When executed by one or more processors 3, the potted plant irrigation control method in any embodiment of this application is executed.

[0034] Please see Figure 3 , Figure 3 This is a flowchart illustrating a potted plant irrigation control method provided in an embodiment of this application.

[0035] The potted plant irrigation control method is applied to the potted plant irrigation control system 100. Specifically, the potted plant irrigation control method is stored in the memory 4 and executed by at least one processor 3.

[0036] like Figure 3 As shown, the potted plant irrigation control method includes the following steps: Step S10: Obtain the first soil condition information of the potted plant detected by the detection device.

[0037] Specifically, the first soil state information is the detection data at the current moment or a set of multiple data points continuously collected over a period of time according to a preset sampling frequency. The first soil state information includes at least soil moisture content, soil electrical conductivity, and soil temperature, which are detected by the soil state sensor of detection device 1. Soil electrical conductivity and soil temperature are used to assist in judging the soil fertility status and water absorption efficiency, providing multi-dimensional input for the preset irrigation strategy model. The first soil state information may include soil state information at different depths.

[0038] In some embodiments, the potted plant irrigation control method further includes acquiring microenvironmental state information of the potted plant detected by the detection device 1. The microenvironmental state information includes at least light intensity, air humidity, and air temperature, and is collected by a microenvironmental sensor disposed on the rim of the pot and transmitted to the processor 3. The processor 3 performs correlation analysis between the microenvironmental state information and the first soil state information to form a multi-dimensional decision-making basis, further optimizing the accuracy of the predicted irrigation strategy.

[0039] Step S20: Determine the predicted irrigation strategy based on the first soil condition information and the preset irrigation strategy model.

[0040] Specifically, the preset irrigation strategy model incorporates a plant growth cycle database and an environmental adaptation algorithm. The database stores basic water and fertilizer requirements for different plants, such as succulents, foliage plants, and flowering plants, at various growth stages, including germination, seedling, mature, and dormant stages. Processor 3 first retrieves the basic parameters corresponding to the current potted plant from the database and then dynamically corrects them based on the first soil condition information. The current potted plant is determined by acquiring the location information of positioning device 5 and matching it against the database. In some examples, the preset irrigation strategy model can be built based on a DTW (Dynamic Time Warping) - SVM (Support Vector Machine) model.

[0041] Predictive irrigation strategies should include at least the water flow pattern, irrigation triggering conditions, and irrigation stopping conditions. The water flow pattern can be dynamically adapted to the type of potted plant, soil condition, and growth stage. For example, a misting pattern can be selected for moisture-loving plants with fragile root systems, such as orchids and ferns, or for newly sprouted seedlings; a pulse pattern can be selected for drought-tolerant plants such as succulents and cacti, or for situations where soil compaction makes water penetration difficult; and a fan pattern or a spray pattern can be selected for mature foliage plants such as pothos and monstera.

[0042] Irrigation triggering conditions include soil condition information reaching or exceeding a preset irrigation threshold. This soil condition information can be a first soil condition information. When the first soil condition information reaches or exceeds the preset irrigation threshold, the irrigation triggering condition is met, and the processor 3 controls the irrigation device 2 to begin irrigation. If the first soil condition information does not reach the preset irrigation threshold, the irrigation triggering condition is not met, and irrigation is not triggered. The preset irrigation threshold is a range or single-point value preset for different plant varieties and soil types. Soil moisture content, soil electrical conductivity, and soil temperature each correspond to independent threshold standards. When any indicator reaches or falls below its corresponding threshold, the irrigation triggering condition is met. For example, the soil moisture content irrigation threshold for succulents is set to 15%. When the detected soil moisture content is below 15%, the irrigation triggering condition is met, and irrigation is triggered.

[0043] Irrigation cessation conditions include soil condition information reaching or exceeding a preset threshold. This soil condition information is collected in real-time by the detection device at a preset sampling frequency during irrigation. The processor 3 continuously compares this information with the preset threshold. When the irrigation cessation condition is met, the irrigation device is immediately stopped. The preset thresholds are individually configured for different plant varieties and soil types, and correspond to independent intervals or single-point values ​​for soil moisture content, soil electrical conductivity, and soil temperature, respectively. Irrigation cessation is triggered when any indicator reaches or exceeds its corresponding threshold. For example, the soil moisture requirement threshold for succulents is set to 30%. Irrigation stops when the soil moisture content reaches 30% during irrigation. The soil electrical conductivity requirement threshold for foliage plants is set to 2.5 mS / cm. When the detected value reaches this threshold, it indicates that the soil nutrient and water compatibility is satisfactory, and irrigation is no longer necessary.

[0044] In some embodiments, microenvironmental state information is also incorporated to determine the predicted irrigation strategy. When incorporating microenvironmental state information, processor 3 further analyzes the effects of light intensity, air humidity, and air temperature on plant water requirements. For example, if light intensity is high, it indicates vigorous plant photosynthesis and accelerated water evaporation. In this case, even if the current soil moisture content is within the normal range, the preset irrigation strategy model will appropriately increase the water replenishment priority considering the rapid water loss. Assuming the light intensity exceeds the normal threshold by 30%, in the example of the succulent seedling stage mentioned above, the originally determined water replenishment priority is high, which will be further increased to extremely high.

[0045] Step S30: Control the irrigation device to perform irrigation operations on the potted plants according to the predicted irrigation strategy.

[0046] Specifically, when the irrigation triggering conditions are met, the processor 3 sends a control command to the irrigation device 2, which includes parameters such as water flow mode, irrigation duration, and flow rate. The irrigation device 2 responds to the command and starts working. The intelligent control valve precisely adjusts the water flow according to the preset flow rate, and the irrigation nozzle switches to the corresponding water flow mode to continuously irrigate within the set irrigation duration.

[0047] Step S40: Obtain the soil change status of the potted plant detected by the detection device within the preset time interval after irrigation begins, and generate a soil status change curve.

[0048] Specifically, the preset time interval is a fixed duration, such as 30 minutes or 1 hour, starting from the start of irrigation. Within this interval, the detection device 1 continuously collects soil state information, including soil moisture content, soil electrical conductivity, and soil temperature, at a preset sampling frequency. The processor 3 arranges the collected data in chronological order, generating a soil state change curve with time as the horizontal axis and soil parameters as the vertical axis. For example, the moisture content change curve can visually display the upward trend and stable state of soil moisture after irrigation; the electrical conductivity change curve can reflect the dilution or accumulation of salts as water penetrates; and the temperature change curve can monitor the short-term impact of irrigation on soil temperature.

[0049] Step S50: Adjust the preset irrigation strategy model according to the soil condition change curve.

[0050] Specifically, processor 3 extracts the core feature parameters of the soil state change curve, including the rise slope, stable value, fluctuation amplitude and decay rate of various soil indicators such as soil moisture content, soil electrical conductivity and soil temperature, constructs a multi-dimensional feature vector, compares it with the preset irrigation effect benchmark vector, and calculates the deviation coefficient between the two. For example, if the deviation coefficient is ≤5%, meaning the irrigation effect is highly consistent with expectations, the current parameters of the preset irrigation strategy model remain unchanged, and the irrigation data and curve characteristics are stored in the model training database as a reference sample for subsequent optimization; if 5% < deviation coefficient ≤15%, meaning there is a slight deviation, the model parameters are dynamically corrected based on the direction of the deviation: for example, if the slope of the soil moisture content increase is lower than the benchmark value, it indicates that water infiltration is too slow, so the weight of the water flow pattern is adjusted or the irrigation flow coefficient is increased; if the deviation coefficient is >15%, meaning there is a significant deviation, in addition to correcting the basic parameters in the model such as irrigation duration, it is also necessary to update the water and fertilizer requirements parameters of the corresponding varieties in the plant growth cycle database: for example, if the water content of succulents decreases rapidly after irrigation multiple times, it indicates that the water retention requirement parameter of this variety in the original database is set too low, so the upper limit of the suitable range of soil moisture content is adjusted, and the trigger interval for the next irrigation is shortened.

[0051] After adjustment, the updated model parameters are synchronized to memory 4 for the generation of the next irrigation strategy, realizing closed-loop self-optimization of the model and continuously improving the accuracy of the irrigation strategy in adapting to the actual needs of the potted plants.

[0052] It should be noted that the preset irrigation effect baseline vector can be obtained by statistical averaging of multiple historical soil condition change curves for the corresponding potted plant, or it can be constructed based on typical irrigation effect data of the same type of potted plant under similar environmental conditions. For newly introduced potted plant varieties or soil types used for the first time, the default baseline vector can be used first, and a personalized baseline vector can be gradually formed as the number of irrigations increases and data accumulates.

[0053] It is understandable that the preset irrigation effect refers to the irrigation effect achieved within a preset time interval. When the preset time interval is the time from the triggering of a single irrigation to the stopping of irrigation, the preset light modification strategy model is adjusted according to the soil change state curve to update the irrigation strategy for the next irrigation. When the preset time interval is shorter than the complete duration of a single irrigation, the processor 3 first dynamically corrects the currently executing irrigation operation based on the soil state change curve within that interval, and then synchronously updates the corrected parameters to the preset irrigation strategy model, achieving dual optimization of "real-time optimization of this irrigation + advance adaptation for the next irrigation".

[0054] In some embodiments, please refer to Figure 4 Methods for regulating irrigation in potted plants also include: Step S60: Based on the soil condition change curve and preset judgment conditions, determine whether the preset irrigation effect has been achieved.

[0055] Specifically, the preset judgment conditions include whether the deviation coefficient between the feature vector of the soil state change curve and the preset irrigation effect benchmark vector is less than or equal to the preset deviation value. If yes, the preset irrigation effect is determined to have been achieved; otherwise, the preset irrigation effect is determined not to have been achieved.

[0056] Step S70: If the preset irrigation effect is not achieved, execute the preset exception handling strategy.

[0057] Specifically, changes in soil condition information can be compared with preset effect thresholds to distinguish different situations where the preset irrigation effect has not been achieved. Please refer to the following: Figure 5 , Figure 5 yes Figure 4 A sub-process of step S70 in the method. If the preset irrigation effect is not achieved, the step of executing the preset exception handling strategy further includes: Step S71: Divide the preset time interval into a first time interval and a second time interval in chronological order.

[0058] Step S72: If the soil state information of the potted plant does not reach the preset effect threshold in both the first time interval and the second time interval, the potted plant is determined to be in the first abnormal state, and the first abnormal handling strategy is executed.

[0059] Specifically, the first anomaly handling strategy further includes: sending a soil loosening reminder signal and the location information of the potted plant. This reminds the user to loosen the soil of the corresponding potted plant in a timely manner. Simultaneously, the preset irrigation strategy model is adjusted based on the soil condition change curve.

[0060] Step S73: If the soil state information of the potted plant exceeds the preset effect threshold in the first time interval but does not reach the preset effect threshold in the second time interval, the potted plant is determined to be in the second abnormal state, and the second abnormal handling strategy is executed.

[0061] Specifically, the second anomaly handling strategy further includes: sending a soil water retention optimization reminder signal and the location information of the potted plants, prompting the user to improve the soil water retention capacity by adding water-retaining media, covering the surface with a water-retaining film, or adjusting the placement of the corresponding potted plants. Simultaneously, the preset irrigation strategy model is adjusted based on the soil condition change curve.

[0062] Step S80: If the preset irrigation effect is achieved, continue to execute the predictive irrigation strategy.

[0063] Specifically, once the preset irrigation effect is determined, the irrigation device continues to perform the current irrigation operation according to the current predicted irrigation strategy, and records and stores the data of the soil change state curve in the model training database of memory 4 as a reference sample for subsequent optimization.

[0064] In some embodiments, the potted plant irrigation control method further includes: acquiring second soil state information of the potted plant after irrigation; and adjusting a preset irrigation strategy model based on the second soil state information. By updating the preset irrigation strategy model based on the soil state information after irrigation, the accuracy and scientific nature of subsequent irrigation are further improved.

[0065] In some embodiments, the potted plant irrigation control method further includes: acquiring status information of the detection device; determining the non-working period of the detection device based on the status information; dividing the non-working period into multiple candidate time periods; determining one or more cleaning time periods based on the multiple candidate time periods; determining a cleaning time point based on the cleaning time period; and controlling the detection device to perform self-cleaning when the cleaning time point is reached. By periodically self-cleaning the detection device 1, the detection accuracy and stability of the detection device 1 are improved.

[0066] Understandably, the above-mentioned potted plant irrigation control method can be applied to one or multiple potted plants. In multi-potted plant application scenarios, personalized management and differentiated control can be achieved based on the location information of the potted plants.

[0067] In this embodiment, by acquiring soil state information of potted plants and generating accurate predictive irrigation strategies in combination with a preset irrigation strategy model, intelligent and personalized management of potted plant irrigation is achieved. Furthermore, the preset irrigation strategy model is adjusted according to the soil change state curve during the irrigation process, and the irrigation strategy is adjusted in a timely manner, which improves the accuracy of irrigation and the utilization rate of resources, and is conducive to the healthy growth of plants.

[0068] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of a potted plant irrigation control device 200 provided in an embodiment of this application.

[0069] like Figure 6 As shown, the potted plant irrigation control device 200 includes a first acquisition module 201, a determination module 202, a control module 203, a second acquisition module 204, and an adjustment module 205.

[0070] The first acquisition module 201 is used to acquire the first soil state information of the potted plant detected by the detection device 1. The determination module 202 is used to determine a predicted irrigation strategy based on the first soil state information and a preset irrigation strategy model. The control module 203 is used to control the irrigation device 2 to irrigate the potted plant according to the predicted irrigation strategy. The second acquisition module 204 is used to acquire the soil change state of the potted plant detected by the detection device 1 within a preset time interval after the start of irrigation, and generate a soil state change curve. The adjustment module 205 is used to adjust the preset irrigation strategy model according to the soil state change curve.

[0071] In this embodiment, the potted plant irrigation control device 200 can be a software module. The software module includes several instructions, which are stored in the memory 4. The processor 3 can access the memory 4 and call the instructions to execute them, so as to complete the potted plant irrigation control method of the above embodiments.

[0072] In the embodiments of this application, the potted plant irrigation control device 200 can also be constructed from hardware devices. For example, the potted plant irrigation control device 200 can be constructed from one or more chips, and the chips can work in coordination to complete the potted plant irrigation control method described in the above embodiments. Furthermore, the potted plant irrigation control device 200 can also be constructed from various logic devices, such as general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), microcontrollers, ARM (Acorn RISC Machine) or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, or any combination of these components.

[0073] The potted plant irrigation control device 200 in this application embodiment can be a component, integrated circuit, or chip in a terminal. This device can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can be mobile phones, tablets, laptops, PDAs, in-vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs), etc., while non-mobile electronic devices can be servers, network attached storage (NAS), personal computers (PCs), televisions (TVs), ATMs, or self-service machines, etc. This application embodiment does not impose specific limitations.

[0074] The potted plant irrigation control device 200 in this embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this embodiment does not specifically limit its use.

[0075] The potted plant irrigation control device 200 provided in this application embodiment can realize all the processes implemented in the method embodiment of this application, and will not be described again here to avoid repetition.

[0076] It should be noted that the above-described device can execute the potted plant irrigation control method provided in the embodiments of this application, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in the device embodiments can be found in the potted plant irrigation control method provided in the embodiments of this application.

[0077] In this embodiment, the various modules of the potted plant irrigation control device 200 work together to achieve intelligent and precise irrigation of potted plants, thereby improving the efficiency and reliability of potted plant irrigation.

[0078] This application also provides a computer-readable storage medium storing a computer program or instructions that, when executed, implement the potted plant irrigation control method in any of the above method embodiments. For example, one or more processors can execute the potted plant irrigation control method in any of the above method embodiments, or execute the various steps described above.

[0079] The apparatus or device embodiments described above are merely illustrative. The unit modules described as separate components may or may not be physically separate, and the components shown as module units may or may not be physical units; that is, they may be located in one place or distributed across multiple network module units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0080] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general-purpose hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM (read-only memory) / RAM (random access memory), magnetic disk, optical disk, etc., including several instructions for a computer device (which may be a personal computer, server, or network device, etc.) to execute the various embodiments or some parts of the embodiments.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; under the concept of the present invention, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the present invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for regulating irrigation in potted plants, applied to a potted plant irrigation regulation system, the potted plant irrigation regulation system comprising a detection device and an irrigation device, characterized in that, The method includes: Obtain the first soil state information of the potted plant detected by the detection device; Based on the first soil condition information and the preset irrigation strategy model, a predicted irrigation strategy is determined; According to the predicted irrigation strategy, the irrigation device is controlled to perform irrigation operations on the potted plant; The detection device acquires the soil change status of the potted plant within a preset time interval after irrigation begins, and generates a soil status change curve. The preset irrigation strategy model is adjusted based on the soil state change curve.

2. The method according to claim 1, characterized in that, The first soil condition information includes soil moisture content, soil electrical conductivity, and soil temperature; The predictive irrigation strategy includes at least the water flow pattern, irrigation triggering conditions, and irrigation stopping conditions.

3. The method according to claim 2, characterized in that, The irrigation triggering conditions include soil condition information reaching or exceeding a preset irrigation threshold. The irrigation cessation conditions include soil condition information reaching or exceeding a preset demand threshold.

4. The method according to claim 1, characterized in that, The method further includes: Based on the soil state change curve and preset judgment conditions, determine whether the preset irrigation effect has been achieved; If the preset irrigation effect is not achieved, the preset exception handling strategy will be executed.

5. The method according to claim 4, characterized in that, If the preset irrigation effect is not achieved, a preset exception handling strategy will be executed, which further includes: The preset time interval is divided into a first time interval and a second time interval in chronological order; If the soil state information of the potted plant does not reach the preset effect threshold in both the first time interval and the second time interval, the potted plant is determined to be in a first abnormal state, and a first abnormal handling strategy is executed. If the soil condition information of the potted plant exceeds the preset effect threshold in the first time interval but does not reach the preset effect threshold in the second time interval, the potted plant is determined to be in a second abnormal state, and a second abnormal handling strategy is executed.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Obtain the status information of the detection device; Based on the status information, the non-working period of the detection device is determined; The non-working hours are divided into multiple selectable time periods; One or more cleaning time periods are determined based on the plurality of candidate time periods, and the cleaning time point is determined based on the cleaning time periods; When the cleaning time point is reached, the detection device is controlled to perform self-cleaning.

7. The method according to any one of claims 1-5, characterized in that, The method further includes: Obtain the second soil state information of the potted plant after irrigation; The preset irrigation strategy model is adjusted based on the second soil condition information.

8. A potted plant irrigation control device, characterized in that, include: The first acquisition module is used to acquire the first soil state information of the potted plant detected by the detection device; The determination module is used to determine the predicted irrigation strategy based on the first soil state information and the preset irrigation strategy model; The control module is used to control the irrigation device to perform irrigation operations on the potted plant according to the predicted irrigation strategy; The second acquisition module is used to acquire the soil change status of the potted plant detected by the detection device within a preset time interval after irrigation begins, and to generate a soil state change curve. An adjustment module is used to adjust the preset irrigation strategy model based on the soil state change curve.

9. A potted plant irrigation control system, characterized in that, include: A detection device used to detect the soil condition of potted plants; An irrigation device for irrigating the potted plant; At least one processor is communicatively connected to both the detection device and the irrigation device; A memory, communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program or instructions that, when executed, implement the method as described in any one of claims 1-7.

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