Human-machine interaction implementation method and system oriented to embedded system

Abstract

The invention relates to the technical field of man-machine interaction, and particularly discloses a man-machine interaction implementation method and system for an embedded system, and the method comprises the steps: delimiting a crop growth region, dividing the crop growth region into n monitoring sub-regions, collecting the soil data, meteorological data and crop physiological index data of each sub-region through an embedded system integrated multi-element sensor, the soil data is stored in a system storage unit, a soil irrigation demand index is obtained by analyzing the soil data, and the soil irrigation state is judged; meanwhile, crop growth irrigation demand indexes are calculated according to crop physiological indexes, crop growth irrigation states are defined, crop growth soil irrigation evaluation coefficients are analyzed on the basis of integration of the crop growth irrigation demand indexes and the crop growth irrigation states, abnormal data are screened, and early warning is conducted in time to agricultural management personnel; and finally, constructing a human-computer interaction interface, displaying soil and crop irrigation states and sub-region numbers, providing scientific irrigation guidance and decisions, powerfully promoting precision of intelligent agricultural irrigation, and ensuring efficient and sustainable development of agriculture.

Description

Technical Field

[0001] The present invention relates to the technical field of human-computer interaction, and in particular to a human-computer interaction implementation method and system for an embedded system. Background Art

[0002] In the context of modern agriculture that pursues high efficiency and sustainable development, crop irrigation faces unprecedented challenges. Traditional irrigation methods rely on manual decision-making, which is not only time-consuming and labor-intensive, but also difficult to achieve the rational use of water resources, often leading to soil salinization and water waste. Therefore, the innovation of agricultural irrigation technology has become the key to increasing crop yields and reducing production costs.

[0003] As a highly integrated, specialized and real-time computer system, embedded systems have been widely used in various fields in recent years. Their small size, low power consumption, high reliability and powerful data processing capabilities make them an ideal choice for realizing agricultural automation and intelligence. In the field of crop irrigation, embedded devices can collect soil data in real time, automatically adjust irrigation plans according to crop growth needs and soil conditions, and achieve precise irrigation.

[0004] However, most embedded irrigation systems on the market currently have problems such as single functions, complex operations, and poor human-computer interaction. These systems can often only achieve basic irrigation control functions and lack intuitive user interfaces and intelligent decision support. Farmers need to have certain professional knowledge and operating skills when using these systems, which undoubtedly increases the difficulty and cost of their use. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a method and system for realizing human-computer interaction for an embedded system, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for implementing human-computer interaction for an embedded system, comprising the following steps:

[0007] Step S1: determine the crop growing area as the target monitoring area, and divide the single crop growing area into n monitoring sub-areas, i=1, 2, 3, ...n, where i is the number of each monitoring sub-area;

[0008] Step S2: using sensors integrated in the embedded system to collect soil data, meteorological data, and crop physiological index data of each monitoring sub-area, and storing them in a storage unit of the embedded system;

[0009] Step S3: analyzing the soil irrigation demand index of each monitoring sub-area based on the soil data, and analyzing the soil irrigation demand index to determine the soil irrigation status of the crop growing area;

[0010] Step S4: analyzing the crop growth irrigation demand index of each monitoring sub-area according to the crop physiological index data, and judging the crop growth irrigation status based on the crop growth irrigation demand index analysis;

[0011] Step S5: Based on the soil irrigation demand index and the crop growth irrigation demand index, analyzing the crop growth soil irrigation assessment coefficient of each monitoring sub-area, judging and analyzing the crop growth soil irrigation assessment coefficient, and issuing a warning message if the judgment result is abnormal data, and sending it to the agricultural management personnel;

[0012] Step S6: Establish a human-computer interaction interface for displaying crop soil irrigation and crop growth irrigation status information and corresponding monitoring sub-area numbers, and provide soil irrigation guidance and decision-making for agricultural managers.

[0013] Preferably, the calculation steps of the soil irrigation demand index of each monitoring sub-area are as follows:

[0014] Step S31: Calculate the influence factor Fs of soil moisture on irrigation demand in each monitoring sub-area i ,(t), the calculation model is as follows:

[0015] Among them, SM i (t) represents the average soil moisture of the i-th monitoring sub-area at time t, SM min,i (C) represents the minimum suitable soil moisture threshold required by the crop in the i-th monitoring sub-area at the current growth stage, SM max,i (C) represents the highest suitable soil moisture threshold of the crop in the current growth stage in the i-th monitoring sub-area, where i is the number of each monitoring sub-area;

[0016] Step S32: Calculate the comprehensive impact factor Fm of the weather on irrigation demand in each monitoring sub-area i ,(t), the calculation model is as follows:

[0017] Among them, T i (t) represents the average temperature of the ith monitoring sub-area at time t, Tr represents the reference temperature suitable for the growth of the crop, and RH i (t) represents the air humidity of the i-th monitoring sub-area, LI i (t) represents the light intensity of the i-th monitoring sub-area, and LIr represents the reference light intensity suitable for the growth of the crop;

[0018] Step S33: Calculate the soil irrigation requirement index SIR of each monitoring sub-area i , the calculation model is as follows:

[0019] SIR i =log2[Fs i ,(t)×Fm i ,(t)], where SIR i It is expressed as the soil irrigation demand index of the i-th monitoring sub-area.

[0020] Preferably, in step S3, the specific content of analyzing and judging the soil irrigation status of the crop growing area based on the soil irrigation demand index is:

[0021] The soil irrigation demand index of each monitoring sub-area is extracted and compared with the preset irrigation status level thresholds, which are respectively: light water demand threshold A, moderate water demand threshold B, and severe water demand threshold C; if the soil irrigation demand index of the ith monitoring sub-area is less than the light water demand threshold A, the soil irrigation status of the ith monitoring sub-area is determined to be "sufficient water, no irrigation required for the time being"; if the soil irrigation demand index of the ith monitoring sub-area is between the light water demand threshold A and the moderate water demand threshold B, the soil irrigation status of the ith monitoring sub-area is determined to be "light water shortage, irrigation can be arranged in time"; if the soil irrigation demand index of the ith monitoring sub-area is between the moderate water demand threshold B and the severe water demand threshold C, the soil irrigation status of the ith monitoring sub-area is determined to be "severe water shortage, irrigation is required as soon as possible".

[0022] Preferably, the calculation steps of the crop growth irrigation requirement index of each monitoring sub-area are as follows:

[0023] Step S41: Calculate the comprehensive impact factor Fg of leaf stomatal conductance and transpiration rate in each monitoring sub-area i ,(t), the calculation model is as follows:

[0024] Among them, G i (t) represents the average leaf stomatal conductance of the i-th monitoring sub-area at time t, Gr represents the standard leaf stomatal conductance reference value corresponding to the crop under ideal water supply and at the current growth stage, TR i (t) represents the average transpiration rate of the i-th monitoring sub-area at time t, TRr represents the preset ideal reference transpiration rate of the crop, and i is the number of each monitoring sub-area;

[0025] Step S42: Calculate the stem flow rate influence factor Fk of each monitoring sub-area i ,(t), the calculation model is as follows:

[0026] Among them, Sf i (t) represents the stem flow rate of the i-th monitoring sub-area at time t, and Sfr represents the preset standard stem flow rate of the crop;

[0027] Step S43: Calculate the crop growth irrigation requirement index GIR of each monitoring sub-area i , the calculation model is as follows:

[0028] Among them, GIR i It is expressed as the crop growth irrigation demand index of the i-th monitoring sub-area, Lw i It is expressed as the crop moisture content in the i-th monitoring sub-area.

[0029] Preferably, the calculation model of the crop growth soil irrigation assessment coefficient of each monitoring sub-area is specifically as follows:

[0030] Among them, IEC i It is expressed as the soil irrigation assessment coefficient of crop growth in the i-th monitoring sub-area, SIR i It is expressed as the soil irrigation demand index of the ith monitoring sub-area, GIR i It is represented as the irrigation demand index of crop growth in the ith monitoring sub-area, α represents other influencing factors of the soil irrigation assessment coefficient of crop growth, and i is the number of each monitoring sub-area.

[0031] Preferably, in step S5, the specific content of the judgment and analysis of the crop growth soil irrigation assessment coefficient is:

[0032] The irrigation assessment coefficient of the crop growth soil in each monitoring sub-area is compared and analyzed with the preset threshold value. If the irrigation assessment coefficient of the crop growth soil in the i-th monitoring sub-area is greater than the preset threshold value, it is determined that the crop growth soil in the i-th monitoring sub-area is in a water-deficient state. An early warning message is issued for the abnormal data, and the corresponding monitoring sub-area number is sent to agricultural management personnel. Otherwise, the judgment result is that the crop growth soil in the i-th monitoring sub-area is in a normal state.

[0033] To achieve the above object, the present invention provides the following technical solutions: a human-computer interaction implementation system for embedded systems, implementing the above human-computer interaction implementation method for embedded systems, including: a regional division module, a data acquisition module, a soil irrigation demand analysis module, a growth irrigation demand analysis module, a soil irrigation assessment analysis module and a human-computer interaction module;

[0034] The region division module is used to determine the crop growth area as the target monitoring area, and divide the single crop growth area into n monitoring sub-areas, i=1, 2, 3, ...n, where i is the number of each monitoring sub-area;

[0035] The data acquisition module uses sensors integrated in the embedded system to collect soil data, meteorological data and crop physiological index data of each monitoring sub-area, and stores them in a storage unit of the embedded system;

[0036] The soil irrigation demand analysis module analyzes the soil irrigation demand index of each monitoring sub-area based on soil data, and analyzes the soil irrigation demand index to determine the soil irrigation status of the crop growth area;

[0037] The growth irrigation demand analysis module analyzes the crop growth irrigation demand index of each monitoring sub-area according to the crop physiological index data, and determines the crop growth irrigation status based on the crop growth irrigation demand index analysis;

[0038] The soil irrigation assessment and analysis module analyzes the soil irrigation assessment coefficient of crop growth in each monitoring sub-area based on the soil irrigation demand index and the crop growth irrigation demand index, makes judgment and analysis on the soil irrigation assessment coefficient of crop growth, and issues warning information if the judgment result is abnormal data, and sends it to agricultural management personnel;

[0039] The human-computer interaction module is used to display crop soil irrigation and crop growth irrigation status information and corresponding monitoring sub-area numbers, and provide soil irrigation guidance and decision-making for agricultural managers.

[0040] Technical effects and advantages of the present invention:

[0041] 1. The present invention aims to solve the problems of complex operation, single function and low irrigation accuracy of existing irrigation systems by introducing human-computer interaction technology and intelligent decision support, and promote the development of agricultural irrigation in the direction of intelligence, automation and humanization;

[0042] 2. The present invention improves the intelligence level of the irrigation system. By integrating advanced sensor technology and data processing algorithms, the system can monitor key parameters such as soil moisture and temperature in real time, and automatically adjust the irrigation plan according to the growth cycle and actual needs of crops to achieve precise irrigation, which not only improves the utilization efficiency of water resources, but also promotes the healthy growth of crops and improves the yield and quality of crops;

[0043] 3. The present invention improves the user experience and usability of the system. By designing an intuitive and user-friendly user interface and providing a convenient remote control function, farmers can easily monitor the irrigation status, adjust irrigation parameters, and even achieve remote control through mobile devices such as mobile phones. This not only reduces the operating difficulty of farmers, but also improves their production efficiency and job satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0045] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0046] Figure 2 It is a schematic diagram of the overall structure of the system of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Example 1

[0049] See also Figure 1 As shown, the present invention provides a method for implementing human-computer interaction for an embedded system, comprising the following steps:

[0050] Step S1: determine the crop growing area as the target monitoring area, and divide the single crop growing area into n monitoring sub-areas, i=1, 2, 3, ...n, where i is the number of each monitoring sub-area;

[0051] Step S2: using sensors integrated in the embedded system to collect soil data, meteorological data, and crop physiological index data of each monitoring sub-area, and storing them in a storage unit of the embedded system;

[0052] In this embodiment, it should be specifically explained that the sensors integrated in the embedded system include a capacitive soil moisture sensor, a Pt100 platinum resistance temperature sensor, a HIH-4000 series capacitive humidity sensor, a BH1750 digital light sensor, a crop moisture sensor and a stem flow sensor.

[0053] In this embodiment, it should be specifically explained that the frequency of data collection is set in step S2, specifically: soil data is set to be collected every 15 minutes based on the dynamics of crop root water absorption and soil water change rate; meteorological data is updated every minute due to the ever-changing environmental factors; crop physiological indicators consider the physiological activity rhythm of crops and growth response time, and are collected every half hour. During the collection, each sensor is triggered synchronously to ensure the spatiotemporal correlation of multi-source data at the same time, laying the foundation for subsequent accurate analysis.

[0054] Step S3: analyzing the soil irrigation demand index of each monitoring sub-area based on the soil data, and analyzing the soil irrigation demand index to determine the soil irrigation status of the crop growing area;

[0055] In this embodiment, it should be specifically explained that the calculation steps of the soil irrigation demand index of each monitoring sub-area are as follows:

[0056] Step S31: Calculate the influence factor Fs of soil moisture on irrigation demand in each monitoring sub-area i ,(t), the calculation model is as follows:

[0057] Among them, SM i (t) represents the average soil moisture of the i-th monitoring sub-area at time t, SM min,i (C) represents the minimum suitable soil moisture threshold required by the crop in the i-th monitoring sub-area at the current growth stage, SM max,i (C) represents the highest suitable soil moisture threshold of the crop in the current growth stage in the i-th monitoring sub-area, where i is the number of each monitoring sub-area;

[0058] Step S32: Calculate the comprehensive impact factor Fm of the weather on irrigation demand in each monitoring sub-area i ,(t), the calculation model is as follows:

[0059] Among them, T i (t) represents the average temperature of the ith monitoring sub-area at time t, Tr represents the reference temperature suitable for the growth of the crop, and RH i (t) represents the air humidity of the i-th monitoring sub-area, LI i (t) represents the light intensity of the i-th monitoring sub-area, and LIr represents the reference light intensity suitable for the growth of the crop;

[0060] Step S33: Calculate the soil irrigation requirement index SIR of each monitoring sub-area i , the calculation model is as follows:

[0061] SIR i=log2[Fs i ,(t)×Fm i ,(t)], where SIR i It is expressed as the soil irrigation demand index of the i-th monitoring sub-area.

[0062] In this embodiment, it should be specifically explained that in step S3, the specific content of analyzing and judging the soil irrigation status of the crop growing area based on the soil irrigation demand index is:

[0063] The soil irrigation demand index of each monitoring sub-area is extracted and compared with the preset irrigation status level thresholds, which are respectively: light water demand threshold A, moderate water demand threshold B, and severe water demand threshold C; if the soil irrigation demand index of the ith monitoring sub-area is less than the light water demand threshold A, the soil irrigation status of the ith monitoring sub-area is determined to be "sufficient water, no irrigation required for the time being"; if the soil irrigation demand index of the ith monitoring sub-area is between the light water demand threshold A and the moderate water demand threshold B, the soil irrigation status of the ith monitoring sub-area is determined to be "light water shortage, irrigation can be arranged in time"; if the soil irrigation demand index of the ith monitoring sub-area is between the moderate water demand threshold B and the severe water demand threshold C, the soil irrigation status of the ith monitoring sub-area is determined to be "severe water shortage, irrigation is required as soon as possible".

[0064] Step S4: analyzing the crop growth irrigation demand index of each monitoring sub-area according to the crop physiological index data, and judging the crop growth irrigation status based on the crop growth irrigation demand index analysis;

[0065] In this embodiment, it should be specifically explained that the calculation steps of the crop growth irrigation demand index of each monitoring sub-area are as follows:

[0066] Step S41: Calculate the comprehensive impact factor Fg of leaf stomatal conductance and transpiration rate in each monitoring sub-area i ,(t), the calculation model is as follows:

[0067] Among them, G i (t) represents the average leaf stomatal conductance of the i-th monitoring sub-area at time t, Gr represents the standard leaf stomatal conductance reference value corresponding to the crop under ideal water supply and at the current growth stage, TR i (t) represents the average transpiration rate of the i-th monitoring sub-area at time t, TRr represents the preset ideal reference transpiration rate of the crop, and i is the number of each monitoring sub-area;

[0068] In this embodiment, it should be specifically explained that the method for obtaining Gr is to obtain data of the same variety and the same growth period through experimental measurements under sufficient irrigation in the early stage or agricultural scientific research literature;

[0069] Step S42: Calculate the stem flow rate influence factor Fk of each monitoring sub-area i ,(t), the calculation model is as follows:

[0070] Among them, Sf i (t) represents the stem flow rate of the i-th monitoring sub-area at time t, and Sfr represents the preset standard stem flow rate of the crop;

[0071] Step S43: Calculate the crop growth irrigation requirement index GIR of each monitoring sub-area i , the calculation model is as follows:

[0072] Among them, GIR i It is expressed as the crop growth irrigation demand index of the i-th monitoring sub-area, Lw i It is expressed as the crop moisture content in the i-th monitoring sub-area.

[0073] In this embodiment, it should be specifically explained that in step S4, the specific content of analyzing and judging the crop growth irrigation state based on the crop growth irrigation demand index is:

[0074] Extracting the crop growth irrigation demand index of each monitoring sub-area, and comparing and analyzing them with the preset growth irrigation level thresholds, respectively, the growth irrigation level thresholds are the preset first irrigation level threshold, the preset second irrigation level threshold, and the preset third irrigation level threshold;

[0075] If the crop growth irrigation demand index of the i-th monitoring sub-area is less than or equal to the preset first irrigation level threshold, it is determined that the crops in the i-th monitoring sub-area are in the low irrigation demand stage; if the crop growth irrigation demand index of the i-th monitoring sub-area is between the preset first irrigation level threshold and the preset second irrigation level threshold, it is determined that the crops in the i-th monitoring sub-area are in the medium irrigation demand stage; if the crop growth irrigation demand index of the i-th monitoring sub-area is between the preset second irrigation level threshold and the preset third irrigation level threshold, it is determined that the crops in the i-th monitoring sub-area are in the high irrigation demand stage.

[0076] Step S5: Based on the soil irrigation demand index and the crop growth irrigation demand index, analyzing the crop growth soil irrigation assessment coefficient of each monitoring sub-area, judging and analyzing the crop growth soil irrigation assessment coefficient, and issuing a warning message if the judgment result is abnormal data, and sending it to the agricultural management personnel;

[0077] In this embodiment, it should be specifically explained that the calculation model of the crop growth soil irrigation assessment coefficient of each monitoring sub-area is specifically as follows:

[0078] Among them, IEC i It is expressed as the soil irrigation assessment coefficient of crop growth in the i-th monitoring sub-area, SIR i It is expressed as the soil irrigation demand index of the ith monitoring sub-area, GIR i It is represented as the irrigation demand index of crop growth in the ith monitoring sub-area, α represents other influencing factors of the soil irrigation assessment coefficient of crop growth, and i is the number of each monitoring sub-area.

[0079] In this embodiment, it should be specifically explained that in step S5, the specific content of the judgment and analysis of the crop growth soil irrigation assessment coefficient is:

[0080] The irrigation assessment coefficient of the crop growth soil in each monitoring sub-area is compared and analyzed with the preset threshold value. If the irrigation assessment coefficient of the crop growth soil in the i-th monitoring sub-area is greater than the preset threshold value, it is determined that the crop growth soil in the i-th monitoring sub-area is in a water-deficient state. An early warning message is issued for the abnormal data, and the corresponding monitoring sub-area number is sent to agricultural management personnel. Otherwise, the judgment result is that the crop growth soil in the i-th monitoring sub-area is in a normal state.

[0081] Step S6: establishing a human-computer interaction interface for displaying crop soil irrigation and crop growth irrigation status information and corresponding monitoring sub-area numbers, and providing soil irrigation guidance and decision-making for agricultural managers;

[0082] In this embodiment, it should be specifically explained that the remote control function of the human-computer interaction interface enables users to remotely adjust irrigation parameters through mobile devices or computers, and introduces an alarm and notification mechanism to promptly notify agricultural managers when soil data is abnormal or the irrigation system fails.

[0083] Example 2

[0084] See also Figure 2 As shown, the present invention provides a human-computer interaction implementation system for embedded systems, including a region division module, a data acquisition module, a soil irrigation demand analysis module, a growth irrigation demand analysis module, a soil irrigation assessment analysis module and a human-computer interaction module.

[0085] The region division module is used to determine the crop growth area as the target monitoring area, and divide the single crop growth area into n monitoring sub-areas, i=1, 2, 3, ...n, where i is the number of each monitoring sub-area;

[0086] The data acquisition module uses sensors integrated in the embedded system to collect soil data, meteorological data and crop physiological index data of each monitoring sub-area, and stores them in a storage unit of the embedded system;

[0087] The soil irrigation demand analysis module analyzes the soil irrigation demand index of each monitoring sub-area based on soil data, and analyzes the soil irrigation demand index to determine the soil irrigation status of the crop growth area;

[0088] The growth irrigation demand analysis module analyzes the crop growth irrigation demand index of each monitoring sub-area according to the crop physiological index data, and determines the crop growth irrigation status based on the crop growth irrigation demand index analysis;

[0089] The soil irrigation assessment and analysis module analyzes the soil irrigation assessment coefficient of crop growth in each monitoring sub-area based on the soil irrigation demand index and the crop growth irrigation demand index, makes judgment and analysis on the soil irrigation assessment coefficient of crop growth, and issues warning information if the judgment result is abnormal data, and sends it to agricultural management personnel;

[0090] The human-computer interaction module is used to display crop soil irrigation and crop growth irrigation status information and corresponding monitoring sub-area numbers, and provide soil irrigation guidance and decision-making for agricultural managers.

[0091] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0092] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for implementing human-computer interaction for an embedded system, characterized in that: The following steps are involved: Step S1: determine the crop growing area as the target monitoring area, and divide the single crop growing area into n monitoring sub-areas, i=1, 2, 3, ...n, where i is the number of each monitoring sub-area; Step S2: using sensors integrated in the embedded system to collect soil data, meteorological data, and crop physiological index data of each monitoring sub-area, and storing them in a storage unit of the embedded system; Step S3: analyzing the soil irrigation demand index of each monitoring sub-area based on the soil data, and analyzing the soil irrigation demand index to determine the soil irrigation status of the crop growing area; Step S4: analyzing the crop growth irrigation demand index of each monitoring sub-area according to the crop physiological index data, and judging the crop growth irrigation status based on the crop growth irrigation demand index analysis; Step S5: Based on the soil irrigation demand index and the crop growth irrigation demand index, analyzing the crop growth soil irrigation assessment coefficient of each monitoring sub-area, judging and analyzing the crop growth soil irrigation assessment coefficient, and issuing a warning message if the judgment result is abnormal data, and sending it to the agricultural management personnel; Step S6: Establish a human-computer interaction interface for displaying crop soil irrigation and crop growth irrigation status information and corresponding monitoring sub-area numbers, and provide soil irrigation guidance and decision-making for agricultural managers.

2. The method for implementing human-computer interaction for embedded systems according to claim 1, characterized in that: The calculation steps of the soil irrigation demand index of each monitoring sub-area are as follows: Step S31: Calculate the influence factor Fs of soil moisture on irrigation demand in each monitoring sub-area i ,(t), the calculation model is as follows: Among them, SM i (t) represents the average soil moisture of the i-th monitoring sub-area at time t, SM min,i (C) represents the minimum suitable soil moisture threshold required by the crop in the i-th monitoring sub-area at the current growth stage, SM max,i (C) represents the highest suitable soil moisture threshold of the crop in the i-th monitoring sub-area at the current growth stage, where i is the number of each monitoring sub-area; Step S32: Calculate the comprehensive impact factor Fm of the weather on irrigation demand in each monitoring sub-area i ,(t), the calculation model is as follows: Among them, T i (t) represents the average temperature of the ith monitoring sub-area at time t, Tr represents the reference temperature suitable for the growth of the crop, and RH i (t) represents the air humidity of the ith monitoring sub-area, LI i (t) represents the light intensity of the i-th monitoring sub-area, and LIr represents the reference light intensity suitable for the growth of the crop; Step S33: Calculate the soil irrigation requirement index SIR of each monitoring sub-area i , the calculation model is as follows: SIR i =log2[Fs i ,(t)×Fm i ,(t)], where SIR i It is expressed as the soil irrigation demand index of the i-th monitoring sub-area.

3. The method for implementing human-computer interaction for embedded systems according to claim 1, characterized in that: In step S3, the specific contents of analyzing and judging the soil irrigation status of the crop growing area based on the soil irrigation demand index are as follows: The soil irrigation demand index of each monitoring sub-area is extracted and compared with the preset irrigation state level thresholds, which are respectively: light water demand threshold A, moderate water demand threshold B, and severe water demand threshold C; if the soil irrigation demand index of the ith monitoring sub-area is less than the light water demand threshold A, the soil irrigation state of the ith monitoring sub-area is determined to be "sufficient water, no irrigation required for the time being"; if the soil irrigation demand index of the ith monitoring sub-area is between the light water demand threshold A and the moderate water demand threshold B, the soil irrigation state of the ith monitoring sub-area is determined to be "light water shortage, irrigation can be arranged in time"; if the soil irrigation demand index of the ith monitoring sub-area is between the moderate water demand threshold B and the severe water demand threshold C, the soil irrigation state of the ith monitoring sub-area is determined to be "severe water shortage, irrigation is required as soon as possible".

4. The method for implementing human-computer interaction for embedded systems according to claim 1, characterized in that: The calculation steps of the crop growth irrigation demand index of each monitoring sub-area are as follows: Step S41: Calculate the comprehensive impact factor Fg of leaf stomatal conductance and transpiration rate in each monitoring sub-area i ,(t), the calculation model is as follows: Among them, G i (t) represents the average leaf stomatal conductance of the i-th monitoring sub-area at time t, Gr represents the standard leaf stomatal conductance reference value corresponding to the crop under ideal water supply and at the current growth stage, TR i (t) represents the average transpiration rate of the i-th monitoring sub-area at time t, TRr represents the preset ideal reference transpiration rate of the crop, and i is the number of each monitoring sub-area; Step S42: Calculate the stem flow rate influence factor Fk of each monitoring sub-area i ,(t), the calculation model is as follows: Among them, Sf i (t) represents the stem flow rate of the i-th monitoring sub-area at time t, and Sfr represents the preset standard stem flow rate of the crop; Step S43: Calculate the crop growth irrigation requirement index GIR of each monitoring sub-area i , the calculation model is as follows: Among them, GIR i It is expressed as the crop growth irrigation demand index of the i-th monitoring sub-area, Lw i It is expressed as the crop moisture content in the i-th monitoring sub-area.

5. The method for implementing human-computer interaction for embedded systems according to claim 1, characterized in that: The calculation model of the crop growth soil irrigation assessment coefficient of each monitoring sub-area is specifically as follows: Among them, IEC i It is expressed as the soil irrigation assessment coefficient of crop growth in the i-th monitoring sub-area, SIR i It is expressed as the soil irrigation demand index of the ith monitoring sub-area, GIR i It is represented as the irrigation demand index of crop growth in the ith monitoring sub-area, α represents other influencing factors of the soil irrigation assessment coefficient of crop growth, and i is the number of each monitoring sub-area.

6. The method for implementing human-computer interaction for embedded systems according to claim 1, characterized in that: In step S5, the specific content of judging and analyzing the irrigation assessment coefficient of the crop growth soil is: The irrigation assessment coefficient of the crop growth soil in each monitoring sub-area is compared and analyzed with the preset threshold value. If the irrigation assessment coefficient of the crop growth soil in the i-th monitoring sub-area is greater than the preset threshold value, it is determined that the crop growth soil in the i-th monitoring sub-area is in a water shortage state. An early warning message is issued for the abnormal data, and the corresponding monitoring sub-area number is sent to agricultural management personnel. Otherwise, the judgment result is that the crop growth soil in the i-th monitoring sub-area is in a normal state.

7. A human-computer interaction implementation system for embedded systems, used to implement a human-computer interaction implementation method for embedded systems as described in any one of claims 1 to 6, characterized in that: include: Regional division module, data acquisition module, soil irrigation demand analysis module, growth irrigation demand analysis module, soil irrigation assessment and analysis module and human-computer interaction module; The region division module is used to determine the crop growth area as the target monitoring area, and divide the single crop growth area into n monitoring sub-areas, i=1, 2, 3, ...n, where i is the number of each monitoring sub-area; The data acquisition module uses sensors integrated in the embedded system to collect soil data, meteorological data and crop physiological index data of each monitoring sub-area, and stores them in a storage unit of the embedded system; The soil irrigation demand analysis module analyzes the soil irrigation demand index of each monitoring sub-area based on soil data, and analyzes the soil irrigation demand index to determine the soil irrigation status of the crop growth area; The growth irrigation demand analysis module analyzes the crop growth irrigation demand index of each monitoring sub-area according to the crop physiological index data, and determines the crop growth irrigation status based on the crop growth irrigation demand index analysis; The soil irrigation assessment and analysis module analyzes the soil irrigation assessment coefficient of crop growth in each monitoring sub-area based on the soil irrigation demand index and the crop growth irrigation demand index, makes judgment and analysis on the soil irrigation assessment coefficient of crop growth, and issues warning information if the judgment result is abnormal data, and sends it to agricultural management personnel; The human-computer interaction module is used to display crop soil irrigation and crop growth irrigation status information and corresponding monitoring sub-area numbers, and provide soil irrigation guidance and decision-making for agricultural managers.

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