Intelligent plant interaction system and method based on natural catalyst and controller

Abstract

The invention relates to an intelligent plant interaction system and method based on a natural catalyst and a controller. The system comprises a natural catalyst sensing module which comprises a natural conductive medium serving as a touch sensor, and the natural conductive medium generates a capacitance signal when being touched by a human body; the control module is connected with the natural conducting medium and is used for obtaining a capacitance value of the touch sensor according to the capacitance signal; judging whether the current touch operation is valid or not based on the current capacitance threshold value and the capacitance value; when the current touch operation is effective touch, a display instruction is sent to a visual feedback module, and the touch interval time between the current touch operation and the last effective touch is calculated; and determining an audio feedback mode corresponding to the current touch operation according to the touch interval time, and extracting feedback audio from an audio file set corresponding to the audio feedback mode. By adopting the system, the man-machine interaction effect of the intelligent flowerpot can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart home, in particular to a smart plant interaction system based on natural catalyst, a method and a controller. BACKGROUND

[0002] In modern life, people pay more and more attention to the quality of life and the creation of the environment, and introducing plants into the room has become a popular trend. As a technology product that combines technology and nature, the smart flowerpot can monitor the growth environment of the plant in real time through the sensor, and timely remind the owner when the plant needs care, so as to accurately maintain the plant and have more exchanges between the user and the potted plant.

[0003] However, the functions of the existing smart flowerpot device are mostly limited to environmental monitoring and do not have interaction capability; although a few smart flowerpots can make feedback to the user's touch behavior, a special metal sensor device needs to be added, which destroys the natural interaction experience; and usually fixed audio or light response is adopted, the feedback mode is single, and lacks a dynamic adjustment mechanism; in addition, when multiple sensors work together, false touch or response delay is easy to occur. As can be seen, the existing smart flowerpot has problems such as low degree of intelligence and poor human-computer interaction effect. SUMMARY

[0004] Therefore, it is necessary to provide a smart plant interaction system based on natural catalyst, a method and a controller to improve the human-computer interaction effect of the smart flowerpot.

[0005] A smart plant interaction system based on natural catalyst, the system comprising:

[0006] A natural catalyst sensing module, comprising a natural conductive medium as a touch sensor, the natural conductive medium generating a capacitance signal when touched by a human body;

[0007] A control module connected with the natural conductive medium, configured to obtain a capacitance value of the touch sensor according to the capacitance signal; determine whether the current touch operation is valid based on a current capacitance threshold and the capacitance value; when the current touch operation is a valid touch, send a display instruction to a visual feedback module, and calculate a touch interval time between the current touch operation and the last valid touch; determine an audio feedback mode corresponding to the current touch operation according to the touch interval time, and extract a feedback audio from an audio file set corresponding to the audio feedback mode, the number of the audio feedback modes being at least two;

[0008] An audio feedback module configured to play the feedback audio, and ignore new valid touch during the audio playing process;

[0009] A visual feedback module configured to display according to the display instruction.

[0010] In one of the embodiments, the control module is specifically used for:

[0011] When the touch interval time > the first interval time threshold, the audio feedback mode corresponding to the current touch operation is the first trigger mode, and a guide audio file is extracted from the guide audio file set corresponding to the first trigger mode as the feedback audio;

[0012] When the touch interval time ≤ the second interval time threshold, the audio feedback mode corresponding to the current touch operation is the high-frequency interaction mode, and any audio file is extracted from the first audio file set corresponding to the high-frequency interaction mode as the feedback audio;

[0013] When the first interval time threshold > the touch interval time > the second interval time threshold, the audio feedback mode corresponding to the current touch operation is the low-frequency interaction mode, and any audio file is extracted from the second audio file set corresponding to the low-frequency interaction mode as the feedback audio.

[0014] In one of the embodiments, the number of the audio file sets is at least two;

[0015] The control module is further used for calculating the audio weight of each audio file in each audio file set based on the historical interaction record of the user through a machine learning algorithm;

[0016] Based on the audio weight of the audio file, any audio file is randomly extracted from the audio file set as the feedback audio.

[0017] In one of the embodiments, the audio file set is stored in an audio storage module;

[0018] The control module is used for extracting the audio file from the audio file set through an index preloading mode; and / or, caching the audio file extracted from the audio file set in the temporary cache space of the control module.

[0019] In one of the embodiments, the control module is used for judging whether the capacitance value is greater than the current capacitance threshold, and if the judgment results of the continuous preset number of times are all that the capacitance value is greater than the current capacitance threshold, determining that the current touch operation is a valid touch.

[0020] In one of the embodiments, the current capacitance threshold is determined by a plant conductivity database and an environmental adaptive algorithm; the control module is further used for determining the preset capacitance threshold corresponding to the natural conductive medium according to the preset plant conductivity database, obtaining the current environmental humidity value through a humidity sensor, and obtaining the current capacitance threshold through the environmental adaptive algorithm according to the preset capacitance threshold and the current environmental humidity value.

[0021] In one of the embodiments, the control module is further configured to, when the current touch operation is a valid touch, ignore the newly detected capacitance signal within a preset time period after the current touch operation is detected, and enter an anti-shake state.

[0022] In one of the embodiments, when the natural conductive medium is a plant stem and leaf, the natural catalyst sensing module further comprises a conductive wire and / or a conductive coating.

[0023] One end of the conductive wire is connected to the control module, and the other end is attached to the surface of the plant stem and leaf; and / or, the conductive coating is coated on the surface of the plant stem and leaf.

[0024] A natural catalyst-based intelligent plant interaction method, the method comprising:

[0025] Real-time acquisition of a capacitance signal generated when the natural conductive medium is touched by a human body, and obtaining a capacitance value according to the capacitance signal;

[0026] Determination of whether the current touch operation is valid based on a current capacitance threshold and the capacitance value, when the current touch operation is a valid touch, sending a display instruction to a visual feedback module, and calculating a touch interval time between the current touch operation and the last valid touch, the display instruction being used to control the visual feedback module to display;

[0027] Determination of an audio feedback mode corresponding to the current touch operation according to the touch interval time, and extraction of feedback audio from an audio file set corresponding to the audio feedback mode, the number of audio feedback modes being at least two;

[0028] Playing of the feedback audio through the audio feedback module, and ignoring of new valid touches during the audio playing process.

[0029] A controller comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: real-time acquisition of a capacitance signal generated when a natural conductive medium is touched by a human body, and obtaining of a capacitance value according to the capacitance signal; determination of whether the current touch operation is valid based on a current capacitance threshold and the capacitance value, when the current touch operation is a valid touch, sending of a display instruction to a visual feedback module, and calculation of a touch interval time between the current touch operation and the last valid touch, the display instruction being used to control the visual feedback module to display; determination of an audio feedback mode corresponding to the current touch operation according to the touch interval time, and extraction of feedback audio from an audio file set corresponding to the audio feedback mode, the number of audio feedback modes being at least two; playing of the feedback audio through the audio feedback module, and ignoring of new valid touches during the audio playing process.

[0030] The intelligent plant interaction system, method and controller based on natural catalysts avoid interference of external hardware sensors by using natural conductive media such as plants and soil for non-invasive touch capacitance detection, and improve the naturalness and fluency of human-computer interaction experience; the system has an audio feedback module and a visual feedback module, and can provide dual-mode feedback; a plurality of audio feedback modes are set based on touch interval time, feedback audio is called from different audio file sets, thereby realizing differentiated audio feedback in different modes, and improving the intelligent level and human-computer interaction effect. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 Fig. 1 is a structural block diagram of an intelligent plant interaction system in one embodiment;

[0032] Figure 2 Fig. 2 is a structural block diagram of an intelligent plant interaction system in another embodiment;

[0033] Figure 3 Fig. 3 is a flowchart of an intelligent plant interaction method in one embodiment. DETAILED DESCRIPTION

[0034] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0035] The intelligent plant interaction system based on natural catalysts provided by the present application can be applied to intelligent potted plants, intelligent flowerpots and the like to realize human-computer interaction between users and plants.

[0036] In one embodiment, as shown in Fig. 1, an intelligent plant interaction system based on natural catalysts is provided, which comprises a natural catalyst sensing module 102, a control module 104, an audio feedback module 106 and a visual feedback module 108, wherein: Figure 1-2

[0037] The natural catalyst sensing module 102 comprises a natural conductive medium as a touch sensor, and the natural conductive medium generates a capacitance signal when touched by a human body;

[0038] The natural conductive medium is at least one of plant stems and leaves and soil in a potted plant, and non-invasive capacitance touch detection is realized by using a plant body or an attached conductive medium (soil);

[0039] ​Specifically, the natural catalyst sensing module 102 utilizes natural conductive media such as plant stems and leaves, soil in a potted plant, etc. as touch sensors. When a human body touches the plant, an additional capacitance is formed between the finger and the plant, triggering a capacitance signal. The touch detection unit built in the control module 104 is connected to the surface of the plant or the soil, and real-time collection of the capacitance signal is performed to monitor the capacitance value change of the touch sensor.

[0040] The system discards the traditional metal touch sensor, and performs touch capacitance detection by utilizing the natural conductive characteristics of natural catalysts such as plants and soil, thereby avoiding the interference of external hardware sensors and improving the naturalness and fluency of human-computer interaction experience.

[0041] The control module 104 is connected to the natural conductive medium, and is configured to obtain the capacitance value of the touch sensor according to the capacitance signal.

[0042] The control module 104 includes a touch detection unit connected to the natural conductive medium, and is configured to real-time collect the capacitance signal and obtain the capacitance value of the touch sensor according to the capacitance signal.

[0043] The current touch operation is determined to be valid based on the current capacitance threshold and the capacitance value, wherein the current capacitance threshold can be determined by a plant conductivity database and an environmental adaptive algorithm, and the current capacitance threshold can be automatically adjusted to realize dynamic adjustment of the detection sensitivity and improve the adaptability to different plants and environments.

[0044] When the current touch operation is valid, a display instruction is sent to the visual feedback module 108, and the touch interval time between the current touch operation and the last valid touch is calculated.

[0045] The touch interval time is the time difference between the trigger times of the current touch operation and the last valid touch. The trigger time can be the time when the current touch operation is determined to be valid, or the time when the capacitance value of the current touch operation is detected to be greater than the current capacitance threshold.

[0046] The audio feedback mode corresponding to the current touch operation is determined according to the touch interval time, and the feedback audio is extracted from the audio file set corresponding to the audio feedback mode. The number of audio feedback modes is at least two.

[0047] The audio feedback mode can be any one of the first trigger mode, the high-frequency interaction mode and the low-frequency interaction mode, and different audio feedback modes correspond to different audio file sets. Specifically, any audio file can be extracted from the audio file set corresponding to the audio feedback mode as the feedback audio, and the extraction method can be random extraction.

[0048] In a specific implementation, a random index can be generated for each audio file in the audio file set, and then an audio file can be randomly selected from the audio file set corresponding to the audio feedback mode; and a global variable can be used to record the index of the played audio file to avoid repeated playing in a short time.

[0049] The audio feedback module 106 is configured to play feedback audio and ignore new valid touches during audio playing.

[0050] The audio feedback module 106 can be a loudspeaker, a sound box or the like.

[0051] Specifically, the audio feedback module 106 plays audio, the control module 104 implements touch locking to ignore new valid touches until the audio playing is completed, and then the touch locking is released to feedback the next valid touch.

[0052] The visual feedback module 108 is configured to display according to a display instruction.

[0053] The visual feedback module 108 can be an LED indicator or a display screen, the LED indicator displays a light-on state, and the display screen can display a preset pattern such as an animation expression.

[0054] Specifically, the LED indicator can be turned on and off in real time according to the triggering of a valid touch, the light-on state indicates that the human-computer interaction is in progress, and the light-off state indicates that the system is in a standby state; the system provides dual-mode feedback through the visual feedback module 108 and the audio feedback module 106 to improve the operation confirmation feeling.

[0055] In a specific implementation, the system further includes a power supply module, which can be an external power supply or a built-in battery to supply power to the system.

[0056] The control module 104 is connected to the natural touch sensor module 102, the audio feedback module 106, the visual feedback module 108 and the power supply module, and when the audio file set is stored in an external audio storage module 110, the control module 104 is further connected to the audio storage module 110. The control module 104 can be a master control chip, the audio feedback module 106 can be a loudspeaker, the visual feedback module 108 can be an LED lamp, and the audio storage module 110 can be a memory card.

[0057] Further, the control module 104 is provided with a communication unit, which is in communication connection with a cloud server, supports uploading data to the cloud server, performs long-term trend analysis and optimizes product experience; the communication unit also supports Bluetooth / WiFi connection and wireless connection with a mobile terminal, and a user can remotely control the audio playing, adjustment of touch sensitivity and the like of the system through a mobile phone.

[0058] The system adopts an edge computing architecture, all audio processing, touch response and other operations are performed locally on the device, avoiding delay caused by data uploading.

[0059] The intelligent plant interaction system based on natural catalyst provided by the embodiment avoids interference of external hardware sensors by using natural conductive media such as plants and soil for non-invasive touch capacitance detection, and improves naturalness and fluency of human-computer interaction experience; the audio feedback module 106 and the visual feedback module 108 are combined to provide dual-mode feedback; a plurality of audio feedback modes are set based on touch interval time, feedback audio is called from different audio file sets, thereby realizing differentiated audio feedback in different modes and improving intelligent degree and human-computer interaction effect.

[0060] In the embodiment, the control module 104 is configured to:

[0061] When the touch interval time is greater than the first interval time threshold, the audio feedback mode corresponding to the current touch operation is the first trigger mode, and a guide audio file is extracted from the guide audio file set corresponding to the first trigger mode as feedback audio;

[0062] When the touch interval time is less than or equal to the second interval time threshold, the audio feedback mode corresponding to the current touch operation is the high-frequency interaction mode, and any audio file is extracted from the first audio file set corresponding to the high-frequency interaction mode as feedback audio;

[0063] When the first interval time threshold is greater than the touch interval time and the touch interval time is greater than the second interval time threshold, the audio feedback mode corresponding to the current touch operation is the low-frequency interaction mode, and any audio file is extracted from the second audio file set corresponding to the low-frequency interaction mode as feedback audio.

[0064] The guide audio file set includes at least one guide audio file, and the first audio file set and the second audio file set each include a plurality of audio files, which can enrich the selection of audio feedback and optimize the human-computer interaction effect.

[0065] In specific implementation, the touch interval time is Δt, the value range of the first interval time threshold can be 45s-120s, and the value range of the second interval time threshold can be 15s-45s.

[0066] As an implementation manner of the embodiment, the first interval time threshold can be set to 60s, and the second interval time threshold can be set to 30s.

[0067] When Δt>60s, the audio feedback mode corresponding to the current touch operation is the first trigger mode, at this time, the interval time between two effective touches exceeds 60s, and the system can be considered to be in the first touch state.

[0068] If Δt≤30s, the audio feedback mode corresponding to the current touch operation is the high-frequency interaction mode, and the feedback audio is extracted from the first audio file set;

[0069] If 30s<Δt≤60s, the audio feedback mode corresponding to the current touch operation is the low-frequency interaction mode, and the feedback audio is extracted from the second audio file set.

[0070] The above embodiment sets three levels of audio feedback modes based on the touch interval time, and retrieves feedback audio from different audio file sets, thereby achieving differentiation of feedback audio in different modes, improving the degree of intelligence and human-computer interaction effect.

[0071] In this embodiment, the number of audio file sets is at least two;

[0072] The control module 104 is further configured to calculate the audio weight of each audio file in each audio file set based on the user's historical interaction records using a machine learning algorithm;

[0073] Based on the audio weight of the audio file, any audio file is randomly selected from the audio file collection as the feedback audio.

[0074] Among them, the machine learning algorithm can adopt a lightweight neural network, such as TensorFlow Lite; since lightweight neural networks require a smaller number of parameters and a lower computational cost, they can run on devices with limited computing and storage resources and are suitable for smart flower pot devices; historical interaction records can include data such as the number of audio playbacks and the touch time interval; the specified time period of historical interaction records can be 1 to 30 days before the current touch operation occurs, preferably 7 days.

[0075] Specifically, based on the user's historical interaction records within a specified time period, a lightweight neural network is used to calculate the audio weight of each audio file. The audio weight calculation formula is:

[0076] Among them, ω i It represents the weight of the i-th audio file, that is, the probability of being recommended for playback. The higher the weight, the greater the probability that the audio file will be selected during random extraction.

[0077] N i Indicates the number of times the i-th audio file has been played in the historical interaction record, which can reflect the user's preference for the audio. For example, if the third audio file has been played 5 times, then N3 = 5;

[0078] N j Represents the number of times all audio files (j=1,2,...,n) are played, which is used to calculate the total number of plays of all audio files and ensure that the weight distribution is based on global data;

[0079] ∑(N j +1) represents the sum of the number of plays of all audio files plus 1, which can prevent unplayed audio (N j = 0) from causing the denominator to be zero or the weight to be zero, ensuring that all audio has a chance of being selected and converting the weight into a probability distribution with a total sum of 1, which plays a role in smoothing and probability normalization.

[0080] The above system optimizes the audio file weight based on the user's historical transaction records through a machine learning algorithm, dynamically adjusts the audio feedback, realizes personalized audio feedback that is more in line with the user's preferences, and can improve the human-computer interaction effect.

[0081] In this embodiment, the audio file set is stored in the audio storage module 110;

[0082] The control module 104 extracts audio files from the audio file set in an index preloading manner, reducing the delay caused by real-time access to the audio storage module 110, and ensuring smooth audio playback;

[0083] And / or, the audio files extracted from the audio file set are cached in the temporary cache space of the control module 104, which speeds up the calling speed and reduces the read-write wear of the storage device as the audio storage module 110.

[0084] Among them, a plurality of audio file sets are stored in the audio storage module 110, and the temporary cache space of the control module 104 can be a static random access memory provided by the main control chip.

[0085] Specifically, at system initialization, the control module 104 can load the audio file index table from the audio storage module 110 into its memory in advance, and the audio file index table includes the indexes of all audio files in each audio file set. In addition, the audio files can also be temporarily cached in the temporary cache space of the control module 104, which reduces data transmission delay and improves calling speed.

[0086] In this embodiment, the control module 104 is configured to determine whether the capacitance value is greater than the current capacitance threshold value, and if the determination result of a continuous preset number of times is that the capacitance value is greater than the current capacitance threshold value, the current touch operation is determined to be an effective touch.

[0087] Among them, the preset number of times can be 2-5 times, preferably 3 times.

[0088] The above embodiment determines that the current touch operation is an effective touch only when the determination result of a continuous preset number of times is that the capacitance value is greater than the current capacitance threshold value, which can effectively avoid false touch.

[0089] In this embodiment, the current capacitance threshold value is determined by a plant conductivity database and an environment adaptive algorithm.

[0090] The control module 104 is further configured to determine a preset capacitance threshold corresponding to the natural conductive medium according to a preset plant conductivity database, obtain a current environmental humidity value through a humidity sensor, and obtain a current capacitance threshold according to the preset capacitance threshold and the current environmental humidity value through an environmental adaptive algorithm.

[0091] The plant conductivity database can include a plurality of plant species and their corresponding conductivities, and the plant species can be succulents, ferns, etc. Each conductivity is matched with a corresponding preset capacitance threshold, which can ensure the touch detection accuracy for different plants (such as succulents, ferns, etc.).

[0092] In specific implementation, the current capacitance threshold is calculated through the environmental adaptive algorithm, and the calculation formula of the environmental adaptive algorithm can be pre-set according to actual conditions. For example, the current capacitance threshold = preset capacitance threshold x (1 + 0.05 x (current environmental humidity value - 50)), and the unit of the current environmental humidity value is (%). It should be noted that the above calculation formula is only one of many implementation manners, and does not constitute a limitation on the protection scope. The current capacitance threshold can also be determined through other calculation formulas in this embodiment.

[0093] In the above embodiment, the current capacitance threshold is determined by the plant conductivity database and the environmental adaptive algorithm, which can automatically adjust the current capacitance threshold, realize dynamic adjustment of the detection sensitivity, and improve the adaptability to different plants and environments.

[0094] In this embodiment, the control module 104 is further configured to, when the current touch operation is an effective touch, ignore newly detected capacitance signals within a preset time period after detecting the current touch operation, and enter an anti-shake state.

[0095] The length of the preset time period is 50-200 ms, and is preferably 100 ms, which can effectively prevent false touch and achieve the anti-shake effect.

[0096] Specifically, the system controls the visual feedback module 108 to perform visual feedback through a display instruction after detecting an effective touch, and enters an anti-shake state, ignoring newly input capacitance signals within a preset time period, which can ensure stable touch sensor data and reduce false triggering.

[0097] In specific implementation, when the feedback audio is played to the end, if the capacitance value detected by the control module 104 is less than the current capacitance threshold, it is determined that the touch operation is ended, and the visual feedback module 108 stops displaying, such as turning off the LED indicator light.

[0098] In this embodiment, when the natural conductive medium is plant stems and leaves, the natural catalyst sensing module 102 further includes a conductive wire and / or a conductive coating.

[0099] One end of the conductive wire is connected to the control module 104, and the other end is attached to the surface of the plant stem and leaf; and / or, a conductive coating is applied to the surface of the plant stem and leaf.

[0100] In a specific implementation, the conductive wire is used to enhance signal stability and enhance the accuracy of touch detection; in a dry environment, a conductive coating can be sprayed on the surface of the plant leaf to improve touch sensing sensitivity, and when the user touches, the finger contacts the coating to form a more stable capacitance change.

[0101] As an embodiment of the present embodiment, the conductive coating can be a graphene-polyvinyl alcohol composite coating with a ratio of 1:3. This material coating can improve the conductivity by 40% when the humidity is less than 30%.

[0102] The intelligent plant interaction system provided in the above embodiment can also have an intelligent humidity management function. The environmental humidity is monitored by a humidity sensor, and when the environmental humidity is lower than 40%, the user is reminded to water. Further, the system can also include an automatic water spraying device. When the environmental humidity decreases to a set threshold, the automatic water spraying device is controlled to automatically water to maintain the optimal state of the plant.

[0103] The various modules in the above intelligent plant interaction system based on natural catalysts can be implemented wholly or partially by software, hardware, and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0104] In one embodiment, as shown in Figure 3 a natural catalyst-based intelligent plant interaction method is provided, including the following steps:

[0105] Step 202, real-time acquisition of the capacitance signal generated when the natural conductive medium is touched by the human body, and obtaining the capacitance value according to the capacitance signal.

[0106] Step 204, determining whether the current touch operation is valid based on the current capacitance threshold and the capacitance value.

[0107] Step 206, when the current touch operation is a valid touch, sending a display instruction to the visual feedback module 108 and calculating the touch interval time between the current touch operation and the last valid touch. The display instruction is used to control the visual feedback module 108 to display.

[0108] Step 208, determining the audio feedback mode corresponding to the current touch operation according to the touch interval time, and extracting the feedback audio from the audio file set corresponding to the audio feedback mode. The number of audio feedback modes is at least two.

[0109] At step 210, the feedback audio is played by the audio feedback module 106, and in the process of playing the audio, the new valid touch is ignored.

[0110] In the above intelligent plant interaction method based on natural catalyst, non-invasive touch capacitance detection is performed by using natural conductive media such as plants and soil, which avoids the interference of external hardware sensors and improves the naturalness and fluency of human-computer interaction experience. The audio feedback module 106 and the visual feedback module 108 are combined to provide dual-mode feedback. Based on the touch interval time, multiple audio feedback modes are set, and feedback audio is retrieved from different audio file sets, so that differentiated audio feedback in different modes is realized, and the intelligent level and human-computer interaction effect are improved.

[0111] In this embodiment, step 208 specifically includes the following steps:

[0112] When the touch interval time is greater than the first interval time threshold, the audio feedback mode corresponding to the current touch operation is the first trigger mode, and a guide audio file is extracted from the guide audio file set corresponding to the first trigger mode as feedback audio;

[0113] When the touch interval time is less than or equal to the second interval time threshold, the audio feedback mode corresponding to the current touch operation is the high-frequency interaction mode, and any audio file is extracted from the first audio file set corresponding to the high-frequency interaction mode as feedback audio;

[0114] When the first interval time threshold is greater than the touch interval time and the touch interval time is greater than the second interval time threshold, the audio feedback mode corresponding to the current touch operation is the low-frequency interaction mode, and any audio file is extracted from the second audio file set corresponding to the low-frequency interaction mode as feedback audio.

[0115] In this embodiment, the number of audio file sets is at least two; step 208 specifically includes the following steps: in each audio file set, the audio weight of each audio file is calculated based on the historical interaction record of the user by a machine learning algorithm; and based on the audio weight of the audio file, any audio file is randomly extracted from the audio file set as feedback audio.

[0116] In this embodiment, the audio file set is stored in the audio storage module 110; step 208 specifically includes the following steps: the audio file is extracted from the audio file set by an index preloading method; and / or, the audio file extracted from the audio file set is cached in the temporary cache space of the control module 104.

[0117] In this embodiment, step 204 specifically includes the following steps: it is judged whether the capacitance value is greater than the current capacitance threshold, and if the judgment result of the continuous preset number of times is that the capacitance value is greater than the current capacitance threshold, it is determined that the current touch operation is a valid touch.

[0118] In the embodiment, the current capacitance threshold is determined by the plant conductivity database and the environment adaptive algorithm; the method further comprises: determining a preset capacitance threshold corresponding to the natural conductive medium according to the preset plant conductivity database, obtaining a current environmental humidity value through a humidity sensor, and obtaining the current capacitance threshold according to the preset capacitance threshold and the current environmental humidity value through the environment adaptive algorithm.

[0119] In the embodiment, the method further comprises: when the current touch operation is a valid touch, ignoring a newly detected capacitance signal within a preset time period after detecting the current touch operation, and entering an anti-shake state.

[0120] In the embodiment, when the natural conductive medium is plant stems and leaves, the natural catalyst sensing module 102 further comprises a conductive wire and / or a conductive coating; one end of the conductive wire is connected to the control module 104, and the other end is attached to the surface of the plant stems and leaves; and / or the conductive coating is coated on the surface of the plant stems and leaves.

[0121] The specific limitations of the intelligent plant interaction method based on natural catalyst can be referred to the limitations of the intelligent plant interaction system based on natural catalyst in the above, which will not be repeated here.

[0122] It should be understood that, although Figure 3 The steps in the flowchart of the method can be executed in the order indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, Figure 3 At least part of the steps in the method can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily sequential, but can be executed in rotation or alternation with other steps or sub-steps or stages of other steps.

[0123] In one embodiment, a controller is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implements the following steps when executing the computer program: collecting a capacitance signal generated when a natural conductive medium is touched by a human body in real time, obtaining a capacitance value according to the capacitance signal; determining whether a current touch operation is valid based on a current capacitance threshold and the capacitance value, when the current touch operation is a valid touch, sending a display instruction to a visual feedback module 108, and calculating a touch interval time between the current touch operation and a previous valid touch, the display instruction being used to control the visual feedback module 108 to display; determining an audio feedback mode corresponding to the current touch operation according to the touch interval time, and extracting feedback audio from an audio file set corresponding to the audio feedback mode, the number of audio feedback modes being at least two; playing the feedback audio through an audio feedback module 106, and ignoring new valid touches in the process of playing the audio.

[0124] In this embodiment, the processor further implements the following steps when executing the computer program: when the touch interval time > a first interval time threshold, the audio feedback mode corresponding to the current touch operation is a first trigger mode, and a guide audio file is extracted from a guide audio file set corresponding to the first trigger mode as the feedback audio; when the touch interval time ≤ a second interval time threshold, the audio feedback mode corresponding to the current touch operation is a high-frequency interaction mode, and any audio file is extracted from a first audio file set corresponding to the high-frequency interaction mode as the feedback audio; when the first interval time threshold > the touch interval time > the second interval time threshold, the audio feedback mode corresponding to the current touch operation is a low-frequency interaction mode, and any audio file is extracted from a second audio file set corresponding to the low-frequency interaction mode as the feedback audio.

[0125] In this embodiment, the number of audio file sets is at least two; the processor further implements the following steps when executing the computer program: in each audio file set, an audio weight of each audio file is calculated based on historical interaction records of a user through a machine learning algorithm; and any audio file is randomly extracted from the audio file set as the feedback audio based on the audio weight of the audio file.

[0126] In this embodiment, the audio file set is stored in an audio storage module 110; the processor further implements the following steps when executing the computer program: the audio file is extracted from the audio file set through an index preloading mode; and / or, the audio file extracted from the audio file set is cached in a temporary cache space of the control module 104.

[0127] In this embodiment, the processor further implements the following steps when executing the computer program: determining whether the capacitance value is greater than the current capacitance threshold, and if the determination result is that the capacitance value is greater than the current capacitance threshold for a continuous preset number of times, determining that the current touch operation is a valid touch.

[0128] In the embodiment, the processor, when executing the computer program, also implements the following steps: determining the preset capacitance threshold corresponding to the natural conductive medium according to a preset plant conductivity database, obtaining a current environment humidity value through a humidity sensor, and obtaining the current capacitance threshold according to the preset capacitance threshold and the current environment humidity value through an environment adaptive algorithm.

[0129] In the embodiment, the processor, when executing the computer program, also implements the following steps: when the current touch operation is a valid touch, ignoring a newly detected capacitance signal within a preset time period after detecting the current touch operation, and entering an anti-shake state.

[0130] In the embodiment, when the natural conductive medium is plant stems and leaves, the natural catalyst sensing module 102 further comprises a conductive wire and / or a conductive coating; one end of the conductive wire is connected to the control module 104, and the other end is attached to the surface of the plant stems and leaves; and / or, the conductive coating is coated on the surface of the plant stems and leaves.

[0131] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment systems and methods can be completed through a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchl ink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0132] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0133] The above-described embodiments are merely illustrative of several embodiments of the present application, which are described in more detail and in a specific manner, but should not be construed as limiting the scope of the patent. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. An intelligent plant interaction system based on natural catalysts, characterized in that: The system comprises: A natural catalyst sensing module, comprising a natural conductive medium as a touch sensor, wherein the natural conductive medium generates a capacitance signal when touched by a human body; a control module connected to the natural conductive medium and configured to obtain a capacitance value of the touch sensor based on the capacitance signal; determine whether a current touch operation is valid based on a current capacitance threshold and the capacitance value; send a display instruction to a visual feedback module when the current touch operation is a valid touch, and calculate a touch interval time between the current touch operation and a last valid touch; determine an audio feedback mode corresponding to the current touch operation based on the touch interval time, and extract feedback audio from a set of audio files corresponding to the audio feedback modes, wherein the number of the audio feedback modes is at least two; an audio feedback module, configured to play the feedback audio and ignore new valid touches during the audio playback process; The visual feedback module is used to display according to the display instruction.

2. The system according to claim 1, wherein: The control module is used for: When the touch interval time is greater than the first interval time threshold, the audio feedback mode corresponding to the current touch operation is the first trigger mode, and a guidance audio file is extracted from the guidance audio file set corresponding to the first trigger mode as the feedback audio; When the touch interval time is less than or equal to a second interval time threshold, the audio feedback mode corresponding to the current touch operation is a high-frequency interaction mode, and any audio file is extracted from the first audio file set corresponding to the high-frequency interaction mode as the feedback audio; When the first interval time threshold ≥ the touch interval time > the second interval time threshold, the audio feedback mode corresponding to the current touch operation is a low-frequency interaction mode, and any audio file is extracted from the second audio file set corresponding to the low-frequency interaction mode as the feedback audio.

3. The system according to claim 1, wherein: The number of the audio file sets is at least two; The control module is further configured to calculate the audio weight of each audio file in each audio file set based on the user's historical interaction records using a machine learning algorithm; Based on the audio weights of the audio files, any audio file is randomly extracted from the audio file set as the feedback audio.

4. The system according to claim 1, wherein: The audio file collection is stored in the audio storage module; The control module is configured to extract audio files from the audio file set by index preloading; and / or cache the audio files extracted from the audio file set in a temporary cache space of the control module.

5. The system according to claim 1, wherein: The control module is configured to determine whether the capacitance value is greater than the current capacitance threshold, and if the capacitance value is greater than the current capacitance threshold for a predetermined number of consecutive determinations, determine that the current touch operation is a valid touch.

6. The system according to claim 1, wherein: The current capacitance threshold is determined by a plant conductivity database and an environment adaptive algorithm; The control module is also used to determine a preset capacitance threshold corresponding to the natural conductive medium based on a preset plant conductivity database, obtain the current ambient humidity value through a humidity sensor, and obtain the current capacitance threshold based on the preset capacitance threshold and the current ambient humidity value through an environmental adaptive algorithm.

7. The system according to any one of claims 1 to 6, characterized in that: The control module is further configured to, when the current touch operation is a valid touch, ignore a newly detected capacitance signal within a preset time period after detecting the current touch operation and enter an anti-shake state.

8. The system according to any one of claims 1 to 6, characterized in that: When the natural conductive medium is plant stems and leaves, the natural catalyst sensing module further includes a conductive wire and / or a conductive coating; One end of the conductive wire is connected to the control module, and the other end is attached to the surface of the plant stems and leaves; and / or the conductive coating is applied on the surface of the plant stems and leaves.

9. A method for intelligent plant interaction based on natural catalysts, characterized in that: The method comprises: Real-time acquisition of capacitance signals generated when a natural conductive medium is touched by a human body, and obtaining a capacitance value based on the capacitance signals; determining whether a current touch operation is valid based on a current capacitance threshold and the capacitance value; if the current touch operation is a valid touch, sending a display instruction to a visual feedback module, and calculating a touch interval time between the current touch operation and the last valid touch; the display instruction is used to control the visual feedback module to perform a display; determining an audio feedback mode corresponding to the current touch operation according to the touch interval time, and extracting feedback audio from an audio file set corresponding to the audio feedback mode, wherein the number of the audio feedback modes is at least two; The feedback audio is played through the audio feedback module, and new valid touches are ignored during the audio playback process.

10. A controller comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to claim 9 are implemented.

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