An automatic water regulation system based on planting cabinet

By designing a system that automatically adjusts the water volume in the planting cabinet, using data collection, data processing and artificial intelligence to identify the vegetable growth cycle, the problem of inaccurate water volume caused by artificial watering is solved, and efficient and automatic water volume management is achieved.

CN115454157BActive Publication Date: 2025-03-21ANHUI BOPAT INTELLIGENT TECH DEV CO LTD
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Patent Information

Application Number
CN202211241349.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-11
Publication Date
2025-03-21
Estimated Expiration
2042-10-11

AI Technical Summary

Technical Problem

The existing planting cabinets are watered through manual experience, resulting in problems such as untimely monitoring and inaccurate water volume.

Method used

Design a water volume automatic regulation system based on planting cabinets, including data collection module, data processing module, water volume regulation module and database. The system collects water level line and image data, uses artificial intelligence models to identify the growth cycle of vegetables, and calculates the target water supply based on the reference water demand, and then controls the regulating valve to automatically adjust the water volume.

Benefits of technology

Automatically control the amount of water according to the growth cycle of vegetables, avoiding the inaccuracy of manual watering, improving planting efficiency, and saving time and labor.

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Abstract

The invention discloses an automatic water regulation system based on a planting cabinet, relates to the technical field of automatic water regulation, and solves the technical problem of untimely monitoring and inaccurate water quantity caused by manual experience watering; water level line and image data are collected by a data acquisition module; and the water level line and image data are sent to a data processing module; the data processing module receives the water level line and image data, obtains a cycle label according to the image data and a cycle detection model, and identifies the cycle label to obtain a target growth cycle; and searches in a database to obtain a reference water demand according to the target growth cycle, obtains a target water delivery according to the reference water demand, and sends the target water delivery to a water regulation module; the water regulation module receives the target water delivery, and controls a regulating valve according to the target water delivery; and realizes the control of water quantity according to the growth cycle of vegetables, which saves time and labor and improves planting efficiency.
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Description

Technical Field

[0001] The invention belongs to the field of planting cabinets and relates to an automatic water volume adjustment technology, in particular to an automatic water volume adjustment system based on a planting cabinet. Background Art

[0002] Vegetables are an irreplaceable side dish in people's daily life and the main source of vitamins, minerals and dietary fiber necessary for maintaining human health. With the improvement of people's living standards, the demand for vegetables is gradually increasing. However, the abuse of pesticides in vegetable production now makes many people worried about the safety of vegetable food. Vegetable planting cabinets allow people to enjoy fresh vegetables safely.

[0003] Vegetables are crops that require a lot of water. Compared with other crops, vegetables are particularly sensitive to water. Watering is more frequent during the growth period of vegetables, and whether the watering is timely or not has a significant impact on the yield. Existing planting cabinets rely on manual experience for watering, which can easily lead to problems such as untimely monitoring and inaccurate water volume.

[0004] Therefore, an automatic water regulation system based on a planting cabinet is proposed. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an automatic water adjustment system based on a planting cabinet, which solves the problem of untimely monitoring and inaccurate water volume caused by manual experience watering.

[0006] To achieve the above-mentioned purpose, an automatic water volume adjustment system based on a planting cabinet is provided according to an embodiment of the first aspect of the present invention, comprising a data acquisition module, a data processing module, a water volume adjustment module and a database; each module performs information exchange based on digital signals;

[0007] The data acquisition module is used to collect water level and image data;

[0008] and sending the water level line and the image data to the data processing module;

[0009] The data processing module is used to receive the water level line and the image data, obtain the cycle label according to the image data and the cycle detection model, and identify the cycle label to obtain the target growth cycle; wherein the cycle detection model is established based on an artificial intelligence model;

[0010] and searching in a database to obtain a reference water demand according to the target growth cycle, and obtaining a target water delivery amount according to the reference water demand, and sending the target water delivery amount to the water volume regulating module;

[0011] The water volume regulating module is used to receive the target water volume and control the regulating valve according to the target water volume.

[0012] Preferably, the data acquisition module includes an image acquisition device;

[0013] The image acquisition device is used to obtain image data of vegetables.

[0014] Preferably, the data acquisition module acquires water level and image data, comprising the following steps:

[0015] The data acquisition module sets an acquisition period; the acquisition period is marked as T, and the unit is min; wherein T is an integer greater than 0;

[0016] The collection cycles are numbered in chronological order, and the number is represented by i; wherein the value of i is 1, 2, 3 ... N, and N is the total number of collections;

[0017] The water level of the planting cabinet is collected every Tmin;

[0018] The image acquisition device acquires image data of vegetables every Tmin;

[0019] The data acquisition module sends the water level line and the image data to the data processing module.

[0020] Preferably, obtaining a cycle label according to the image data and a cycle detection model, and identifying the cycle label to obtain a target growth cycle comprises the following steps:

[0021] The data processing module receives the image data and marks the image data as P i ;

[0022] Obtain a cycle detection model from a data processing module;

[0023] Inputting the image data into the period detection model to obtain a corresponding period label;

[0024] The cycle label is identified to obtain the growth cycle of the vegetable, and the growth cycle is marked as a target growth cycle.

[0025] Preferably, searching in a database to obtain a reference water requirement according to the target growth cycle, and obtaining a target water delivery amount according to the reference water requirement, comprises the following steps:

[0026] Searching in the database according to the target growth cycle to obtain the corresponding reference water requirement; the reference water requirement is marked as T0;

[0027] Obtaining a target water demand according to the reference water demand, and marking the target water demand as ET;

[0028] The target water demand is calculated as follows: 目标 =k c ×T0;

[0029] Among them, k c is the crop coefficient;

[0030] The data processing module receives the water level line and marks the water level line as H i , unit is mm;

[0031] Obtain the current water volume of the planting cabinet according to the water level line; mark the current water volume as T i , unit is mm 3 ;

[0032] The calculation formula of the existing water volume is: T i =H i ×S; where S is the bottom area of ​​the planting cabinet, in mm 2 ;

[0033] The target water delivery volume is obtained according to the target water demand and the existing water volume, and the target water delivery volume is marked as ΔT i

[0034] The target water delivery rate is calculated as follows: ΔT i =T 目标 -T i ;

[0035] The target water delivery volume is sent to the water volume regulating module.

[0036] Preferably, the cycle detection model is established based on an artificial intelligence model, comprising the following steps:

[0037] Obtain standard training images from the data processing module;

[0038] The artificial intelligence model is trained using standard training images, and the trained artificial intelligence model is marked as a cycle detection model;

[0039] Artificial intelligence models include deep convolutional neural network models or RBF neural network models.

[0040] Preferably, the water volume regulating module controls the regulating valve according to the target water volume, comprising the following steps:

[0041] The water volume regulating module receives the target water delivery volume;

[0042] Generate control information according to the target water delivery amount, and send the control information to the regulating valve; wherein the control information includes the target water delivery amount;

[0043] The regulating valve receives the regulating information and obtains the target water delivery volume in the regulating information;

[0044] Open the regulating valve, control the water inlet according to the target water delivery, and close the regulating valve when the water inlet is equal to the target water delivery.

[0045] Preferably, the data acquisition module is in communication and / or electrically connected with the data processing module;

[0046] The data processing module is in communication and / or electrically connected with the water volume regulating module.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] The present invention collects water level and image data through a data acquisition module; and sends the water level and image data to a data processing module; the data processing module receives the water level and image data, obtains a cycle label according to the image data and a cycle detection model, and identifies the cycle label to obtain a target growth cycle; and searches in a database to obtain a reference water demand according to the target growth cycle, and obtains a target water delivery according to the reference water demand, and sends the target water delivery to a water volume regulating module; the water volume regulating module receives the target water delivery, and controls a regulating valve according to the target water delivery; and realizes controlling the water volume according to the growth cycle of vegetables, saving time and labor, and improving planting efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0050] The technical scheme of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] like Figure 1 As shown, a water volume automatic regulation system based on a planting cabinet includes a data acquisition module, a data processing module, a water volume regulation module and a database; each module exchanges information based on digital signals;

[0052] The data acquisition module is used to collect water level and image data;

[0053] and sending the water level line and the image data to the data processing module;

[0054] The data processing module is used to receive the water level line and the image data, obtain the cycle label according to the image data and the cycle detection model, and identify the cycle label to obtain the target growth cycle; wherein the cycle detection model is established based on an artificial intelligence model;

[0055] and searching in a database to obtain a reference water demand according to the target growth cycle, and obtaining a target water delivery amount according to the reference water demand, and sending the target water delivery amount to the water volume regulating module;

[0056] The water volume regulating module is used to receive the target water volume and control the regulating valve according to the target water volume.

[0057] In this embodiment, the data acquisition module includes an image acquisition device;

[0058] The image acquisition device is used to obtain image data of vegetables.

[0059] The data acquisition module acquires water level and image data, including the following steps:

[0060] The data acquisition module sets an acquisition period; the acquisition period is marked as T, and the unit is min; wherein T is an integer greater than 0;

[0061] The collection cycles are numbered in chronological order, and the number is represented by i; wherein the value of i is 1, 2, 3 ... N, and N is the total number of collections;

[0062] The water level of the planting cabinet is collected every Tmin;

[0063] The image acquisition device acquires image data of vegetables every Tmin;

[0064] The data acquisition module sends the water level line and the image data to the data processing module.

[0065] Acquiring a cycle label according to the image data and the cycle detection model, and identifying the cycle label to obtain a target growth cycle, includes the following steps:

[0066] The data processing module receives the image data and marks the image data as P i ;

[0067] Obtain a cycle detection model from a data processing module;

[0068] Inputting the image data into the period detection model to obtain a corresponding period label;

[0069] The cycle label is identified to obtain the growth cycle of the vegetable, and the growth cycle is marked as a target growth cycle.

[0070] Searching in a database to obtain a reference water requirement according to the target growth cycle, and obtaining a target water delivery amount according to the reference water requirement, comprises the following steps:

[0071] Searching in the database according to the target growth cycle to obtain the corresponding reference water requirement; the reference water requirement is marked as T0;

[0072] Obtaining a target water demand according to the reference water demand, and marking the target water demand as ET;

[0073] The target water demand is calculated as follows: 目标 =k c ×T0;

[0074] Among them, k c is the crop coefficient, i.e. the ratio of crop water requirement in a certain period to the reference crop water requirement, k c Varies with crop and stage, determined by experimentation;

[0075] The data processing module receives the water level line and marks the water level line as H i , unit is mm;

[0076] Obtain the current water volume of the planting cabinet according to the water level line; mark the current water volume as T i , unit is mm 3 ;

[0077] The calculation formula of the existing water volume is: T i =H i ×S; where S is the bottom area of ​​the planting cabinet, in mm 2 ;

[0078] The target water delivery volume is obtained according to the target water demand and the existing water volume, and the target water delivery volume is marked as ΔT i

[0079] The target water delivery rate is calculated as follows: ΔT i =T 目标 -T i ;

[0080] The target water delivery volume is sent to the water volume regulating module.

[0081] In this embodiment, the cycle detection model is established based on an artificial intelligence model, including the following steps:

[0082] Obtain standard training images from the data processing module;

[0083] The artificial intelligence model is trained using standard training images, and the trained artificial intelligence model is marked as a cycle detection model.

[0084] In this embodiment, the standard training images include several groups of input images and corresponding period labels, and the input images and image data have consistent content attributes; it can be understood that the input images and image data are both image data of vegetables, but the specific content of the images is different.

[0085] In this embodiment, the artificial intelligence model includes a deep convolutional neural network model or an RBF neural network model and other models with powerful nonlinear fitting capabilities.

[0086] The water flow regulating module controls the regulating valve according to the target water flow, including the following steps:

[0087] The water volume regulating module receives the target water delivery volume;

[0088] Generate control information according to the target water delivery amount, and send the control information to the regulating valve; wherein the control information includes the target water delivery amount;

[0089] The regulating valve receives the regulating information and obtains the target water delivery volume in the regulating information;

[0090] Open the regulating valve, control the water inlet according to the target water delivery, and close the regulating valve when the water inlet is equal to the target water delivery.

[0091] In this embodiment, the data acquisition module is in communication and / or electrically connected with the data processing module;

[0092] The data processing module is in communication and / or electrically connected with the water volume regulating module.

[0093] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0094] Working principle of the present invention:

[0095] The water level line of the planting cabinet is collected every Tmin; the image acquisition device collects the image data of the vegetables every Tmin; the data acquisition module sends the water level line and image data to the data processing module;

[0096] The data processing module receives the image data and obtains a cycle detection model from the data processing module; the image data is input into the cycle detection model to obtain a corresponding cycle label; the cycle label is identified to obtain the growth cycle of the vegetable, and the growth cycle is marked as a target growth cycle;

[0097] According to the target growth cycle, a search is performed in the database to obtain the corresponding reference water requirement; the target water requirement is obtained based on the reference water requirement, and the data processing module receives the water level line, and obtains the existing water volume in the planting cabinet according to the water level line; the target water delivery volume is obtained based on the target water requirement and the existing water volume, and the target water delivery volume is sent to the water volume regulation module.

[0098] The water volume regulation module receives the target water volume; generates regulation information according to the target water volume, and sends the regulation information to the regulating valve; the regulating valve receives the regulation information and obtains the target water volume in the regulation information; opens the regulating valve, controls the water inlet according to the target water volume, and closes the regulating valve when the water inlet is equal to the target water volume.

[0099] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An automatic water regulation system based on a planting cabinet, characterized in that: It includes data acquisition module, data processing module, water volume regulation module and database; each module exchanges information based on digital signals; The data acquisition module is used to collect water level and image data; and sending the water level line and the image data to the data processing module; The data processing module is used to receive the water level line and the image data, obtain the cycle label according to the image data and the cycle detection model, and identify the cycle label to obtain the target growth cycle; wherein the cycle detection model is established based on an artificial intelligence model; and searching in a database to obtain a reference water demand according to the target growth cycle, and obtaining a target water delivery amount according to the reference water demand, and sending the target water delivery amount to the water volume regulating module; The water volume regulating module is used to receive the target water volume and control the regulating valve according to the target water volume; The data acquisition module includes an image acquisition device; The image acquisition device is used to obtain image data of vegetables; The data acquisition module acquires water level and image data, including the following steps: The data acquisition module sets an acquisition period; the acquisition period is marked as T, and the unit is min; wherein T is an integer greater than 0; The collection cycles are numbered in chronological order, and the number is represented by i; wherein the value of i is 1, 2, 3 ... N, and N is the total number of collections; The water level of the planting cabinet is collected every Tmin; The image acquisition device acquires image data of vegetables every Tmin; The data acquisition module sends the water level line and the image data to the data processing module; Acquiring a cycle label according to the image data and the cycle detection model, and identifying the cycle label to obtain a target growth cycle, includes the following steps: The data processing module receives the image data and marks the image data ; Obtain a cycle detection model from a data processing module; Inputting the image data into the period detection model to obtain a corresponding period label; Identify the cycle label, obtain the growth cycle of the vegetable, and mark the growth cycle as a target growth cycle; Searching in a database to obtain a reference water requirement according to the target growth cycle, and obtaining a target water delivery amount according to the reference water requirement, comprises the following steps: According to the target growth cycle, a search is performed in the database to obtain the corresponding reference water requirement; the reference water requirement is marked as ; Obtaining a target water demand according to the reference water demand, and marking the target water demand as ET; The calculation formula of the target water demand is: ; in, is the crop coefficient; The data processing module receives the water level line and marks the water level line as , unit is mm; Obtain the existing water volume of the planting cabinet according to the water level line; mark the existing water volume as , the unit is ; The calculation formula of the existing water volume is: ; Where S is the bottom area of ​​the planting cabinet, in units of ; The target water delivery volume is obtained according to the target water demand and the existing water volume, and the target water delivery volume is marked as ; The target water delivery rate is calculated as follows: ; The target water delivery volume is sent to the water volume regulating module.

2. The automatic water regulation system based on the planting cabinet according to claim 1 is characterized in that: The cycle detection model is established based on an artificial intelligence model and includes the following steps: Obtain standard training images from the data processing module; The artificial intelligence model is trained using standard training images, and the trained artificial intelligence model is marked as a cycle detection model; Artificial intelligence models include deep convolutional neural network models or RBF neural network models.

3. The automatic water regulation system based on the planting cabinet according to claim 1 is characterized in that: The water flow regulating module controls the regulating valve according to the target water flow, including the following steps: The water volume regulating module receives the target water delivery volume; Generate control information according to the target water delivery amount, and send the control information to the regulating valve; wherein the control information includes the target water delivery amount; The regulating valve receives the regulating information and obtains the target water delivery volume in the regulating information; Open the regulating valve, control the water inlet according to the target water delivery, and close the regulating valve when the water inlet is equal to the target water delivery.

4. The automatic water regulation system based on the planting cabinet according to claim 1 is characterized in that: The data acquisition module is in communication and / or electrically connected with the data processing module; The data processing module is in communication and / or electrically connected with the water volume regulating module.

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