CN117391613B - Agricultural industry garden management system based on Internet of things - Google Patents
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Abstract
The invention relates to the technical field of park management, and discloses an agricultural industry park management system based on the Internet of things, which comprises the following steps: the system analysis and early warning module analyzes and early warns subareas which do not meet the standard according to the comprehensive environment index, and the system optimization and maintenance module analyzes and maintains the environment of the monitored subareas which are displayed by early warning according to the analysis result, and further optimizes and maintains the subareas according to the analysis result.
Description
Technical Field
The invention relates to the technical field of park management, in particular to an agricultural industry park management system based on the Internet of things.
Background
The internet of things technology is used for connecting various devices and articles to the Internet so as to realize information exchange and transmission, is mainly applied to sensors, agricultural equipment and meteorological observation, realizes data acquisition, analysis and decision of agricultural production, utilizes a wireless communication technology, transmits data acquired by the sensors to a central server or a cloud platform, can perform data storage, real-time analysis and data mining and generate reports, and can sense and monitor environmental parameters of farmlands in real time through various sensors installed in an agricultural industry park, wherein the sensors acquire and transmit the environmental data to the system so as to provide accurate decision basis for agricultural managers.
However, conventional agricultural industry park management systems also suffer from a number of drawbacks: data acquisition and monitoring are difficult: the traditional agricultural industry garden management system generally relies on manual detection and monitoring, and an agricultural manager is required to periodically patrol farmlands and manually record and process data, so that the method is time-consuming and labor-consuming, real-time data acquisition and monitoring are difficult to realize, and problems cannot be found and solved in time; data storage and management are inconvenient: farmland data in the traditional system are usually recorded in paper form or stored in a single hardware device, so that centralized management and quick inquiry are difficult to perform, and data integration and analysis work are difficult, so that decision efficiency and accuracy of an agricultural manager are affected; decision support capability is limited: the existing agricultural industry garden management system senses and monitors the environmental parameters of farmlands in real time by installing sensors, but does not provide basis for comprehensive calculation models and lacks subsequent optimization links.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an agricultural industry garden management system based on the Internet of things, which solves the problems in the background art.
The invention provides the following technical scheme: an agricultural industry garden management system based on the internet of things, comprising: the system comprises a region setting module, a data acquisition module, a soil parameter processing module, a climate parameter processing module, a water quality parameter processing module, a comprehensive model building module, a system analysis early warning module and a system optimization maintenance module;
the area setting module divides an agricultural industry garden into different areas according to different crop planting ranges, installs sensor equipment in the different areas of the agricultural industry garden, and numbers each monitoring subarea as 1,2 in sequence;
the data acquisition module is used for transmitting the data acquired by the sensor to a data center through the communication technology of the Internet of things, extracting the environmental parameter data of each monitoring subarea, wherein the environmental parameter data comprise park soil parameters, park climate parameters and park water quality parameters;
the soil parameter processing module is used for calculating the soil state coefficients of all monitoring subareas through a soil state analysis mathematical model based on the park soil parameters extracted by the data acquisition module and transmitting the calculated soil state coefficients to the comprehensive model building module;
the climate parameter processing module is used for calculating the climate wettability coefficient of each monitoring subarea through a climate analysis function model based on the park climate parameters extracted by the data acquisition module, and transmitting the calculated climate wettability coefficient to the comprehensive model building module;
the water quality parameter processing module is used for calculating the water quality coefficient of each monitoring subarea through a water quality calculation function model based on the water quality parameters of the park extracted by the data acquisition module, and transmitting the calculated water quality coefficient to the comprehensive model building module;
the comprehensive model building module is used for building a comprehensive model based on the calculated soil state coefficient, the calculated climate wettability coefficient and the calculated water quality coefficient of each monitoring subarea, calculating a comprehensive environment index of each monitoring subarea, and transmitting the comprehensive environment index to the system analysis and early warning module;
the system analysis early warning module is used for receiving the comprehensive environment index of each monitoring subarea calculated by the comprehensive model building module, analyzing whether the environment of each monitoring subarea meets the standard according to the comprehensive environment index, and displaying and early warning the state of the subarea which does not meet the standard;
and the system optimization maintenance module receives the analysis result and the early warning display of the system analysis early warning module, performs environment nonstandard analysis on the monitoring subarea of the early warning display, and expands further optimization maintenance according to the analysis result.
Preferably, the sensor device in the area setting module comprises a temperature and humidity sensor, a soil humidity sensor and an illumination sensor, and is installed and deployed in soil, climate and water environments of an agricultural industry park.
Preferably, the garden soil parameters in the data acquisition module comprise saturated soil volume weight, soil quality and soil moisture content of each monitoring subarea, wherein the saturated soil volume weight comprises soil particle density, water density and soil porosity of each monitoring subarea, the garden climate parameters comprise air water content, water vapor partial pressure and daily precipitation of each monitoring subarea, and the garden water quality parameters comprise pollutant types of each monitoring subarea, actual measurement values of the xth pollutant and evaluation standards of the xth pollutant.
Preferably, the calculating steps of the soil state coefficients of each monitoring subarea calculated in the soil parameter processing module are as follows:
step S01: calculating the saturated soil volume weight of each monitoring subarea, wherein the calculation formula is as follows:wherein Ys is i Representing each ofMonitoring saturated soil volume weight of subareas and Gs i Representing the soil particle density, yw, of each monitored subarea i Representing the density of water in each monitored sub-zone, e i Representing soil porosity of each monitored sub-region;
step S02: calculating the soil state coefficient of each monitoring subarea, wherein the calculation formula is as follows:wherein Z is i Representing the soil state coefficient of each monitoring subarea, ys i Representing the saturated soil volume weight, ms, of each monitored sub-region i Representing soil quality, xs of each monitored subarea i The soil moisture content of each monitored sub-area is indicated.
Preferably, the calculation formula of the weather wettability coefficient of each monitored subarea calculated in the weather parameter processing module is as follows:wherein A is i Representing the climate wettability coefficient, w, of each monitored subarea i Representing the air moisture content of each monitoring subarea, p i Indicating the partial pressure of water vapor in the air of each monitoring subarea, x n Represents the daily precipitation amount of water,is the average value of precipitation and->m may represent the number of days of any day from the beginning of the month to the end of the month.
Preferably, the calculation formula of the water quality coefficient of each monitoring subarea calculated in the water quality parameter processing module is as follows:wherein M is i Representing the water quality coefficient of each monitoring subarea, C ix Representing the measured value of the x-th pollutant of each monitoring subarea, S ix Indicating the x-th pollution of each monitoring subareaThe evaluation criteria of the object, y, indicates the number of contaminant species participating in the evaluation.
Preferably, in the integrated model building module, based on the soil state coefficient, the climate wettability coefficient and the water quality coefficient of each monitoring subarea, a calculation formula for calculating the integrated environment index of each monitoring subarea is as follows: d (D) i ＝w1×Z i +w2×A i +w3×M i Wherein D is i And the comprehensive environment indexes of all the monitoring subareas are represented, and w1, w2 and w3 represent weights of soil state coefficients, climate wettability coefficients and water quality coefficients.
Preferably, the system analysis and early warning module monitors the comprehensive environment index D of each monitoring subarea i Comparing whether the environment of each monitoring subarea meets the standard or not with a preset standard environment index delta theta, and if the environment of each monitoring subarea meets the standard, obtaining a comprehensive environment index D of each monitoring subarea i If the environmental index D is larger than or equal to the preset standard environmental index delta theta, the environmental index D meets the standard, and if the environmental index D is the comprehensive environmental index D of each monitoring subarea i If the environmental index delta theta is smaller than the preset standard environmental index delta theta, the standard is not met, and the subarea which does not meet the standard is displayed in an early warning mode.
Preferably, the system optimization maintenance module performs the specific steps of analyzing the environment failure of the monitoring subarea displayed by the early warning as follows:
step S01: the system performs data analysis on the soil state coefficient, the climate wettability coefficient and the water quality coefficient of the monitoring subarea displayed by the early warning;
step S02: analyzing coefficients smaller than the corresponding standard threshold value in the coefficients, and analyzing the content of each parameter in detail;
step S03: and optimizing and adjusting the parameters with higher or lower values, continuously monitoring the change conditions of the soil state coefficient, the climate wettability coefficient and the water quality coefficient after optimizing and adjusting, calculating by the comprehensive model building module to obtain an optimized comprehensive environment index, and analyzing and adjusting again according to the optimized comprehensive environment index.
The invention has the technical effects and advantages that:
the system analysis and early warning module analyzes and early warns the subareas which do not meet the standard according to the comprehensive environmental index, and the system optimization and maintenance module analyzes and further optimizes and maintains the monitored subareas displayed by the early warning according to the analysis result, in a word, the agricultural and industrial park management system based on the Internet of things has the functions of real-time data monitoring and acquisition, big data analysis and decision support, remote monitoring and control, real-time and reaction capacity and data centralized storage and management, and the advantages are beneficial to improving the efficiency, accuracy and sustainable development of agricultural and industrial park management.
Drawings
Fig. 1 is a flowchart of an agricultural industry park management system based on the internet of things.
Fig. 2 is a block diagram of an agricultural industry park management system based on the internet of things.
Detailed Description
The embodiments of the present invention will be clearly and completely described below with reference to the drawings in the present invention, and the configurations of the structures described in the following embodiments are merely examples, and the agricultural and industrial park management system based on the internet of things according to the present invention is not limited to the structures described in the following embodiments, and all other embodiments obtained by a person having ordinary skill in the art without making any creative effort are within the scope of the present invention.
Example 1: referring to fig. 1, the present invention provides an agricultural industry garden management system based on internet of things, comprising: the system comprises an area setting module, a data acquisition module, a soil parameter processing module, a climate parameter processing module, a water quality parameter processing module, a comprehensive model building module, a system analysis early warning module and a system optimization maintenance module.
In this embodiment, it should be specifically described that, the area setting module divides an agricultural industrial park into different areas according to different crop planting ranges, installs sensor devices in different areas of the agricultural industrial park, and numbers each monitoring subarea as 1, 2.
The sensor equipment in the area setting module comprises a temperature and humidity sensor, a soil humidity sensor and an illumination sensor, and is installed and deployed in soil, climate and water environments of an agricultural industry park.
In this embodiment, it needs to be specifically described that the data acquisition module transmits the data acquired by the sensor to the data center through the internet of things communication technology, and extracts the environmental parameter data of each monitoring sub-area, where the environmental parameter data includes a campus soil parameter, a campus climate parameter and a campus water quality parameter;
the garden soil parameters in the data acquisition module comprise saturated soil volume weight, soil quality and soil moisture content of each monitoring subarea, wherein the saturated soil volume weight comprises soil particle density, water density and soil porosity of each monitoring subarea, the garden climate parameters comprise air water content, vapor partial pressure and daily precipitation of each monitoring subarea, and the garden water quality parameters comprise pollutant types of each monitoring subarea, actual measurement values of the xth pollutant and evaluation standards of the xth pollutant.
In this embodiment, it should be specifically described that, based on the campus soil parameters extracted by the data acquisition module, the soil state processing module calculates the soil state coefficients of each monitoring sub-area through a soil state analysis mathematical model, and transmits the calculated soil state coefficients to the comprehensive model building module;
the calculation steps of the soil state coefficients of all monitoring subareas calculated in the soil parameter processing module are as follows:
step S01: calculating the saturated soil volume weight of each monitoring subarea, wherein the calculation formula is as follows:wherein Ys is i Representing saturated soil volume weight and Gs of each monitoring subarea i Representing the soil particle density, yw, of each monitored subarea i Representing the density of water in each monitored sub-zone, e i Representing soil porosity of each monitored sub-region;
step S02: calculating the soil state coefficient of each monitoring subarea, wherein the calculation formula is as follows:wherein Z is i Representing the soil state coefficient of each monitoring subarea, ys i Representing the saturated soil volume weight, ms, of each monitored sub-region i Representing soil quality, xs of each monitored subarea i The soil moisture content of each monitored sub-area is indicated.
In this embodiment, it needs to be specifically described that, based on the campus climate parameters extracted by the data acquisition module, the climate parameter processing module calculates the climate wettability coefficient of each monitoring sub-area through a climate analysis function model, and transmits the calculated climate wettability coefficient to the comprehensive model building module;
the calculation formula of the climate wettability coefficient of each monitoring subarea calculated in the climate parameter processing module is as follows:wherein A is i Representing the climate wettability coefficient, w, of each monitored subarea i Representing the air moisture content of each monitoring subarea, p i Indicating the partial pressure of water vapor in the air of each monitoring subarea, x n Represents daily precipitation, < >>Is the average value of precipitation and->m may represent the number of days of any day from the beginning of the month to the end of the month.
In this embodiment, it should be specifically described that, based on the water quality parameters of the park extracted by the data acquisition module, the water quality parameter processing module calculates the water quality coefficient of each monitoring subarea through the water quality calculation function model, and transmits the calculated water quality coefficient to the comprehensive model building module;
the calculation formula of the water quality coefficient of each monitoring subarea calculated in the water quality parameter processing module is as follows:wherein M is i Representing the water quality coefficient of each monitoring subarea, C ix Representing the measured value of the x-th pollutant of each monitoring subarea, S ix The x-th pollutant evaluation standard of each monitoring subarea is shown, and y is the number of pollutant types participating in evaluation.
In this embodiment, it needs to be specifically described that the integrated model building module builds an integrated model based on the calculated soil state coefficient, the calculated climate wettability coefficient and the calculated water quality coefficient of each monitoring subarea, calculates the integrated environment index of each monitoring subarea, and transmits the integrated environment index to the system analysis and early warning module;
the calculation formula for calculating the comprehensive environment index of each monitoring subarea based on the soil state coefficient, the climate wettability coefficient and the water quality coefficient of each monitoring subarea in the comprehensive model building module is as follows: d (D) i ＝w1×Z i +w2×A i +w3×M i Wherein D is i And the comprehensive environment indexes of all the monitoring subareas are represented, and w1, w2 and w3 represent weights of soil state coefficients, climate wettability coefficients and water quality coefficients.
In this embodiment, it needs to be specifically described that the system analysis and early warning module receives the comprehensive environmental index of each monitored sub-area calculated by the comprehensive model building module, analyzes whether the environment of each monitored sub-area meets the standard according to the comprehensive environmental index, and displays and early warns the sub-areas that do not meet the standard;
the system analysis early warning module analyzes the comprehensive environment index D of each monitoring subarea i Comparing whether the environment of each monitoring subarea meets the standard or not with a preset standard environment index delta theta, and if the environment of each monitoring subarea meets the standard, obtaining a comprehensive environment index D of each monitoring subarea i If the environmental index D is larger than or equal to the preset standard environmental index delta theta, the environmental index D meets the standard, and if the environmental index D is the comprehensive environmental index D of each monitoring subarea i If the environmental index delta theta is smaller than the preset standard environmental index delta theta, the standard is not met, and the subarea which does not meet the standard is displayed in an early warning mode.
In this embodiment, it needs to be specifically described that the system optimization maintenance module receives the analysis result and the early warning display of the system analysis early warning module, performs environment nonstandard analysis on the monitored subarea of the early warning display, and expands further optimization maintenance according to the analysis result;
the system optimization maintenance module carries out environment nonstandard analysis on the monitoring subarea displayed by the early warning, and comprises the following specific steps:
step S01: the system performs data analysis on the soil state coefficient, the climate wettability coefficient and the water quality coefficient of the monitoring subarea displayed by the early warning;
step S02: analyzing coefficients smaller than the corresponding standard threshold value in the coefficients, and analyzing the content of each parameter in detail;
step S03: and optimizing and adjusting the parameters with higher or lower values, continuously monitoring the change conditions of the soil state coefficient, the climate wettability coefficient and the water quality coefficient after optimizing and adjusting, calculating by the comprehensive model building module to obtain an optimized comprehensive environment index, and analyzing and adjusting again according to the optimized comprehensive environment index.
Example 2: the specific difference between this example and example 1 is that the influencing factors of the integrated environmental index also include the free CO of each monitoring subarea 2 Concentration index of free CO 2 The specific calculation process of the concentration index is as follows:
step S01: collecting CO of each monitoring subarea of industrial park according to sensor equipment 2 Concentration contribution quantity and total-day unit vegetation net photosynthetic carbon fixation quantity, and determining free CO in industrial park 2 A concentration index;
step S02: CO 2 The calculation formula of the concentration index is:wherein alpha represents free CO from industrial park 2 Concentration index, q i Representing each monitoring subarea CO 2 Concentration contribution, c i The net photosynthetic carbon fixation amount of the unit vegetation of each monitoring subarea on the whole day is represented, and n represents the number of the monitoring subareas;
step S03: free CO of industrial park 2 Concentration index and preset CO 2 Comparing the concentration index threshold values to judge the free CO of the industrial park 2 Whether the concentration index meets the standard or not, if the industrial park is free CO 2 Concentration index is smaller than preset CO 2 The concentration index threshold meets the standard, if the industrial park is free CO 2 A concentration index greater than or equal to a predetermined CO 2 The concentration index threshold value is not met.
The system analysis and early warning module analyzes and early warns the subareas which do not meet the standard according to the comprehensive environmental index, and the system optimization and maintenance module analyzes and further optimizes and maintains the monitored subareas displayed by the early warning according to the analysis result, in a word, the agricultural and industrial park management system based on the Internet of things has the functions of real-time data monitoring and acquisition, big data analysis and decision support, remote monitoring and control, real-time and reaction capacity and data centralized storage and management, and the advantages are beneficial to improving the efficiency, accuracy and sustainable development of agricultural and industrial park management.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (5)
1. An agricultural industry garden management system based on thing networking, its characterized in that: comprising the following steps: the system comprises a region setting module, a data acquisition module, a soil parameter processing module, a climate parameter processing module, a water quality parameter processing module, a comprehensive model building module, a system analysis early warning module and a system optimization maintenance module;
the area setting module divides an agricultural industry garden into different areas according to different crop planting ranges, installs sensor equipment in the different areas of the agricultural industry garden, and numbers each monitoring subarea as 1,2 in sequence;
the data acquisition module is used for transmitting the data acquired by the sensor to a data center through the communication technology of the Internet of things, extracting the environmental parameter data of each monitoring subarea, wherein the environmental parameter data comprise park soil parameters, park climate parameters and park water quality parameters;
the soil parameter processing module is used for calculating the soil state coefficients of all monitoring subareas through a soil state analysis mathematical model based on the park soil parameters extracted by the data acquisition module and transmitting the calculated soil state coefficients to the comprehensive model building module;
the calculation steps of the soil state coefficients of all monitoring subareas calculated in the soil parameter processing module are as follows:
step S01: calculating the saturated soil volume weight of each monitoring subarea, wherein the calculation formula is as follows:wherein Ys is i Representing saturated soil volume weight and Gs of each monitoring subarea i Representing the soil particle density, yw, of each monitored subarea i Representing the density of water in each monitored sub-zone, e i Representing soil porosity of each monitored sub-region;
step S02: calculating the soil state coefficient of each monitoring subarea, wherein the calculation formula is as follows:wherein Z is i Representing the soil state coefficient of each monitoring subarea, ys i Representing the saturated soil volume weight, ms, of each monitored sub-region i Representing soil quality, xs of each monitored subarea i Representing the soil moisture content of each monitored sub-region;
the climate parameter processing module is used for calculating the climate wettability coefficient of each monitoring subarea through a climate analysis function model based on the park climate parameters extracted by the data acquisition module, and transmitting the calculated climate wettability coefficient to the comprehensive model building module;
the calculation formula of the climate wettability coefficient of each monitoring subarea calculated in the climate parameter processing module is as follows:wherein A is i Representing the climate wettability coefficient, w, of each monitored subarea i Representing the air moisture content of each monitoring subarea, p i Indicating the partial pressure of water vapor in the air of each monitoring subarea, x n Represents daily precipitation, < >>Is the average value of precipitation and->m may represent any day from the beginning of the month to the end of the month;
the water quality parameter processing module is used for calculating the water quality coefficient of each monitoring subarea through a water quality calculation function model based on the water quality parameters of the park extracted by the data acquisition module, and transmitting the calculated water quality coefficient to the comprehensive model building module;
the calculation formula of the water quality coefficient of each monitoring subarea calculated in the water quality parameter processing module is as follows:wherein M is i Representing the water quality coefficient of each monitoring subarea, C ix Representing the measured value of the x-th pollutant of each monitoring subarea, S ix The x-th pollutant evaluation standard of each monitoring subarea is shown, and y represents the number of pollutant types participating in evaluation;
the comprehensive model building module is used for building a comprehensive model based on the calculated soil state coefficient, the calculated climate wettability coefficient and the calculated water quality coefficient of each monitoring subarea, calculating a comprehensive environment index of each monitoring subarea, and transmitting the comprehensive environment index to the system analysis and early warning module;
the calculation formula for calculating the comprehensive environment index of each monitoring subarea based on the soil state coefficient, the climate wettability coefficient and the water quality coefficient of each monitoring subarea in the comprehensive model building module is as follows: d (D) i ＝w1×Z i +w2×A i +w3×M i Wherein D is i The comprehensive environment indexes of all monitoring subareas are represented, and w1, w2 and w3 represent weights of soil state coefficients, climate wettability coefficients and water quality coefficients;
the system analysis early warning module is used for receiving the comprehensive environment index of each monitoring subarea calculated by the comprehensive model building module, analyzing whether the environment of each monitoring subarea meets the standard according to the comprehensive environment index, and displaying and early warning the state of the subarea which does not meet the standard;
and the system optimization maintenance module receives the analysis result and the early warning display of the system analysis early warning module, performs environment nonstandard analysis on the monitoring subarea of the early warning display, and expands further optimization maintenance according to the analysis result.
2. The agricultural industry garden management system based on the internet of things according to claim 1, wherein: the sensor equipment in the area setting module comprises a temperature and humidity sensor, a soil humidity sensor and an illumination sensor, and is installed and deployed in soil, climate and water environments of an agricultural industry park.
3. The agricultural industry garden management system based on the internet of things according to claim 1, wherein: the garden soil parameters in the data acquisition module comprise saturated soil volume weight, soil quality and soil moisture content of each monitoring subarea, wherein the saturated soil volume weight comprises soil particle density, water density and soil porosity of each monitoring subarea, the garden climate parameters comprise air water content, vapor partial pressure and daily precipitation of each monitoring subarea, and the garden water quality parameters comprise pollutant types of each monitoring subarea, actual measurement values of the xth pollutant and evaluation standards of the xth pollutant.
4. The agricultural industry garden management system based on the internet of things according to claim 1, wherein: the system analysis early warning module analyzes the comprehensive environment index D of each monitoring subarea i Comparing whether the environment of each monitoring subarea meets the standard or not with a preset standard environment index delta theta, and if the environment of each monitoring subarea meets the standard, obtaining a comprehensive environment index D of each monitoring subarea i If the environmental index D is larger than or equal to the preset standard environmental index delta theta, the environmental index D meets the standard, and if the environmental index D is the comprehensive environmental index D of each monitoring subarea i If the environmental index delta theta is smaller than the preset standard environmental index delta theta, the standard is not met, and the subarea which does not meet the standard is displayed in an early warning mode.
5. The agricultural industry garden management system based on the internet of things according to claim 1, wherein: the system optimization maintenance module carries out environment nonstandard analysis on the monitoring subarea displayed by the early warning, and comprises the following specific steps:
step S01: the system performs data analysis on the soil state coefficient, the climate wettability coefficient and the water quality coefficient of the monitoring subarea displayed by the early warning;
step S02: analyzing coefficients smaller than the corresponding standard threshold value in the coefficients, and analyzing the content of each parameter in detail;
step S03: and optimizing and adjusting the parameters with higher or lower values, continuously monitoring the change conditions of the soil state coefficient, the climate wettability coefficient and the water quality coefficient after optimizing and adjusting, calculating by the comprehensive model building module to obtain an optimized comprehensive environment index, and analyzing and adjusting again according to the optimized comprehensive environment index.
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