WO2023070357A1 - High-reliability and low-cost agricultural internet of things system based on optical fiber sensing and artificial intelligence - Google Patents

Abstract

A high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence, comprising a control module, an intelligent sensing module, an intelligent regulation and control module, a weather detection module and a wireless communication module. The control module is in communication connection with the intelligent sensing module, the intelligent regulation and control module and the weather detection module by means of the wireless communication module; the intelligent sensing module is used for changing, detecting and collecting an agricultural product environment by means of sensors; the sensors comprise a humidity sensor, an optical fiber sensor, a carbon dioxide sensor and a chlorophyll content measuring sensor. By configuring the intelligent sensing module, the agricultural product environment can be conveniently changed, detected and collected; by configuring the intelligent regulation and control module, irrigation, pesticide spraying and light supplementation for agricultural products can be performed, and the agricultural products can be conveniently processed according to different conditions, so that the growth environment of the agricultural products is perfected, and the yield can be improved.

Description

High reliability and low cost agricultural Internet of things system based on optical fiber sensing and artificial intelligence technical field

The invention belongs to the technical field of agricultural internet of things, in particular to a highly reliable and low-cost agricultural internet of things system based on optical fiber sensing and artificial intelligence.

Background technique

The Internet of Things collects any object or process that needs to be monitored and interacted with in real time through sensors, radio frequency identification technology, positioning technology, etc., collects various required information such as sound, light, thermoelectricity, mechanics, chemistry, and biology, and accesses it through various possible networks. , realize the ubiquitous connection between things and things, things and people, and realize the intelligent perception and management of the process. With the continuous development of science and technology, the application range of Internet of Things technology is becoming more and more extensive. Among them, agriculture is the core of the Internet of Things system. an important field of application.

At present, there are still some problems in the existing high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence: it is inconvenient to change, detect and collect the environment of agricultural products, and it is convenient to process agricultural products according to different situations, reducing the Therefore, we propose a high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence.

Contents of the invention

The purpose of the present invention is to provide a highly reliable and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence, so as to solve the problems raised in the above-mentioned background technology.

In order to achieve the above object, the present invention provides the following technical solutions: a highly reliable and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence, including a control module, an intelligent sensing module, an intelligent control module, a weather detection module and a wireless communication module, The control module communicates with the intelligent sensing module, the intelligent control module, and the meteorological detection module through the wireless communication module;

The intelligent sensing module is used to change, detect and collect the environment of agricultural products through sensors, and the sensors include humidity sensors, optical fiber sensors, carbon dioxide sensors, chlorophyll content measurement sensors, soil pH sensors and soil nutrient sensors;

The intelligent control module is used for irrigating, spraying, and supplementing light on agricultural products through mechanical equipment, and the mechanical equipment includes irrigation equipment, spraying equipment and supplementing light equipment;

The weather detection module is used to detect the weather;

The wireless communication module is used to provide network connection to the system, so that the modules are related to each other.

Preferably, the humidity sensor is used to detect the humidity in the agricultural product environment, and the optical fiber sensor is used to collect the light in the agricultural product environment and send it to the modulator, so that the parameters to be measured and the light entering the modulation area After the interaction, the optical properties of the light change, and then the measurement is completed by using the influence exerted by the measurand on the transmission characteristics of the light. The carbon dioxide sensor is used to detect the carbon dioxide content in the agricultural product environment. The chlorophyll content measurement sensor It is used to detect the chlorophyll content in agricultural products, the soil pH sensor is used to detect the acidity and alkalinity in the soil, and the soil nutrient sensor is used to detect the nitrogen, potassium and phosphorus contents in the soil.

Preferably, the irrigation equipment is used for drying and fertilizing agricultural products, the spraying equipment is used for spraying agricultural products, and the supplementary light equipment is used for lighting agricultural products.

Preferably, the irrigation equipment includes an intelligent control unit, a fertilizer proportioning unit, a stock solution mixing unit, a filtration unit, a fertilizer dosing unit, and a soil fertilizer content monitoring unit, and the irrigation equipment performs fertilizer according to the expert model software downloaded by the terminal of the Internet of Things. Proportioning, water-liquid mixing, filtering and fertilizer dosing operations realize automatic stirring, constant pressure conveying, filter clogging monitoring and automatic backwashing.

Preferably, the spraying steps of the spraying equipment are as follows:

S101. Obtain the farmland information corresponding to the farmland to be sprayed; wherein the farmland information includes the current farmland ID, GPS coordinate information, farmland area, crop name, name of the pesticide required, the proportion of the pesticide, the amount of the pesticide to be sprayed The amount of pesticide released;

S102. According to the obtained farmland information, the pesticide is prepared through the spray device to obtain the pesticide that meets the current farmland;

S103. Spray the prepared pesticide through the spray rod of the spray device, open the liquid outlet solenoid valve, and measure the amount of pesticide flowing out of the liquid outlet in real time through the liquid outlet flowmeter;

S104. Calculate the difference between the amount of pesticide to be sprayed and the liquid output obtained by the liquid flow meter in real time, and determine whether the difference is smaller than a preset threshold, and if so, close the liquid outlet solenoid valve, Stop spraying.

Preferably, the meteorological monitoring module includes a rain detector, a snow detector, a wind direction wind speed detector, a temperature and humidity detector and a data collector, and the data collector is connected to the rain detector, the snow detector, The wind direction wind speed detector is connected with the temperature and humidity detector.

Preferably, the wireless communication module is any one of 5G communication module, 4G communication module, Bluetooth module, WiFi module, GSM module, CDMA module, CDMA2000 module, WCDMA module, TD-SCDMA module, Zigbee module and LoRa module or Any combination of several.

Preferably, the humidity sensor is provided with several groups, and the humidity sensors of several groups are evenly distributed in the agricultural planting land, and the installation depth of the humidity sensor is 15-45cm away from the ground surface; the humidity sensor is used to monitor the humidity parameters collected. Data processing, the humidity parameter data processing uses the data collected by several groups of humidity sensors to be arranged in the order of a1, a2, a3...a(n-1), an, and the three maximum values and three minimum values are removed. Afterwards, the remaining data a4, a5, ... a(n-4), a(n-3) are averaged,

The formula is: a=[a4+a5+...a(n-4)+a(n-3)]/(n-6);

The average calculation result a is the soil moisture.

Preferably, the soil nutrient sensor is set in the agricultural planting field in the same manner as the humidity sensor, and the soil nutrient sensor is used for data processing of the collected nutrient content parameters; the nutrient content parameter data processing adopts several The nitrogen content values collected by the soil nutrient sensor are arranged in the order of b1, b2, ... b(n-1), bn, and the average calculation of the collected data is carried out.

The formula is: b=[b1+b2+...+b(n-1)+bn]/n;

The average calculation result b is expressed as the nitrogen content in the soil;

Described nutrient content parameter data processing adopts the potassium content numerical value order that some soil nutrient sensors collect is arranged as c1, c2, ... c(n-1), cn, average calculation is carried out to the collected data,

The formula is: c=[c1+c2+...+c(n-1)+cn]/n;

The average calculation result c promptly represents the potassium content in the soil;

The nutrient content parameter data processing adopts that the phosphorus content values collected by several soil nutrient sensors are arranged in the order of d1, d2, ... d(n-1), dn, and the average calculation of the collected data is carried out.

The formula is: d=[d1+d2+...+d(n-1)+dn]/n;

The average calculation result d is expressed as the phosphorus content in the soil.

Compared with prior art, the beneficial effect of the present invention is:

(1) The present invention conveniently changes, detects, and collects the environment of agricultural products by setting an intelligent sensing module, and by setting an intelligent control module, can perform irrigation, spraying, and supplementary light on agricultural products, so that it is convenient to adjust the environment according to different situations. Agricultural products are processed, so as to improve the growth environment of agricultural products, which is conducive to increasing production.

(2) The present invention can provide timely feedback on the weather by setting the weather detection module, thereby responding to different weather in advance, which is conducive to improving the safety of agricultural products during growth.

Description of drawings

Fig. 1 is a block diagram of the present invention;

Fig. 2 is the structural block diagram of intelligent sensing module of the present invention;

Fig. 3 is the structural block diagram of intelligent control module of the present invention;

Fig. 4 is a spraying flowchart of the spraying equipment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please refer to Figures 1-4, the present invention provides a technical solution: a highly reliable and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence, including a control module, an intelligent sensing module, an intelligent regulation module, a weather detection module and A wireless communication module, the control module communicates with the intelligent sensing module, the intelligent control module, and the meteorological detection module through the wireless communication module;

The intelligent sensing module is used to change, detect and collect the environment of agricultural products through sensors, and the sensors include humidity sensors, optical fiber sensors, carbon dioxide sensors, chlorophyll content measurement sensors, soil pH sensors and soil nutrient sensors;

The intelligent control module is used for irrigating, spraying, and supplementing light on agricultural products through mechanical equipment, and the mechanical equipment includes irrigation equipment, spraying equipment and supplementing light equipment;

The weather detection module is used to detect the weather;

The wireless communication module is used to provide network connection to the system, so that the modules are related to each other.

In this embodiment, preferably, the humidity sensor is used to detect the humidity in the agricultural product environment, and the optical fiber sensor is used to collect the light in the agricultural product environment, and send it to the modulator, so that the parameters to be measured and After the light entering the modulation area interacts, the optical properties of the light change, and then the measurement is completed by using the influence of the measurand on the transmission characteristics of the light. The carbon dioxide sensor is used to detect the carbon dioxide content in the agricultural product environment, so The chlorophyll content measurement sensor is used to detect the chlorophyll content in agricultural products, the soil pH sensor is used to detect the acidity and alkalinity in the soil, and the soil nutrient sensor is used to detect the nitrogen, potassium and phosphorus contents in the soil .

In this embodiment, preferably, the irrigation equipment is used for drying and fertilizing agricultural products, the spraying equipment is used for spraying agricultural products, and the supplementary light equipment is used for agricultural products Lighting work.

In this embodiment, preferably, the watering equipment includes an intelligent control unit, a fertilizer proportioning unit, a stock solution mixing unit, a filtering unit, a fertilizer dosing unit, and a soil fertilizer content monitoring unit, and the watering equipment is downloaded according to the Internet of Things terminal. The expert model software performs fertilizer ratio, water-liquid mixing, filtration and fertilizer dosing operations, and realizes automatic stirring, constant pressure conveying, filter clogging monitoring and automatic backwashing.

In this embodiment, preferably, the spraying steps of the spraying equipment are as follows:

S101. Obtain the farmland information corresponding to the farmland to be sprayed; wherein the farmland information includes the current farmland ID, GPS coordinate information, farmland area, crop name, name of the pesticide required, the proportion of the pesticide, the amount of the pesticide to be sprayed The amount of pesticide released;

S102. According to the obtained farmland information, the pesticide is prepared through the spray device to obtain the pesticide that meets the current farmland;

S103. Spray the prepared pesticide through the spray rod of the spray device, open the liquid outlet solenoid valve, and measure the amount of pesticide flowing out of the liquid outlet in real time through the liquid outlet flowmeter;

S104. Calculate the difference between the amount of pesticide to be sprayed and the liquid output obtained by the liquid flow meter in real time, and determine whether the difference is smaller than a preset threshold, and if so, close the liquid outlet solenoid valve, Stop spraying.

In this embodiment, preferably, the meteorological monitoring module includes a rain detector, a snow detector, a wind direction and wind speed detector, a temperature and humidity detector and a data collector, and the data collector is connected to the rain detector, The snow volume detector, the wind direction wind speed detector and the temperature and humidity detector are connected.

In this embodiment, preferably, the wireless communication module is a 5G communication module, a 4G communication module, a Bluetooth module, a WiFi module, a GSM module, a CDMA module, a CDMA2000 module, a WCDMA module, a TD-SCDMA module, a Zigbee module and a LoRa module any one or any combination of several.

In this embodiment, preferably, the humidity sensor is provided with several groups, and the humidity sensors of several groups are evenly distributed in the agricultural planting land, and the installation depth of the humidity sensor is 15-45cm from the ground surface; the humidity sensor is used for Data processing is performed on the collected humidity parameters, and the data processing of the humidity parameters uses the data collected by several groups of humidity sensors to be arranged in the order of a1, a2, a3...a(n-1), an, and the three largest ones are removed. After the value and the minimum value of 3, the average calculation is performed on the remaining data a4, a5, ... a(n-4), a(n-3),

The formula is: a=[a4+a5+...a(n-4)+a(n-3)]/(n-6);

The average calculation result a is the soil moisture.

In this embodiment, preferably, the soil nutrient sensor is set in the agricultural planting field in the same manner as the humidity sensor, and the soil nutrient sensor is used for data processing of the collected nutrient content parameters; the nutrient content parameters Data processing adopts the order of the nitrogen content collected by several soil nutrient sensors as b1, b2, ... b(n-1), bn, and average calculation of the collected data,

The formula is: b=[b1+b2+...+b(n-1)+bn]/n;

The average calculation result b is expressed as the nitrogen content in the soil;

The nutrient content parameter data processing adopts the numerical order of the potassium content collected by several soil nutrient sensors to be c1, c2, ... c(n-1), cn, and the average calculation of the collected data is carried out.

The formula is: c=[c1+c2+...+c(n-1)+cn]/n;

The average calculation result c promptly represents the potassium content in the soil;

The nutrient content parameter data processing adopts that the phosphorus content values collected by several soil nutrient sensors are arranged in the order of d1, d2, ... d(n-1), dn, and the average calculation of the collected data is carried out.

The formula is: d=[d1+d2+...+d(n-1)+dn]/n;

The average calculation result d is expressed as the phosphorus content in the soil.

Principles and advantages of the present invention: the present invention facilitates changing, detecting and collecting the environment of agricultural products by setting an intelligent sensing module, and by setting an intelligent control module, it is possible to perform irrigation, spraying, and supplementary light on agricultural products, thereby conveniently according to Different conditions are used to process agricultural products, thereby improving the growth environment of agricultural products, which is conducive to increasing production; by setting up a weather detection module, it is possible to provide timely feedback on the weather, so as to respond to different weather in advance, which is conducive to improving the growth of agricultural products. security at the time.

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications and substitutions can be made to these embodiments without departing from the principle and spirit of the present invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (9)

1. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence is characterized in that it includes a control module, an intelligent sensing module, an intelligent regulation module, a weather detection module and a wireless communication module, and the control module passes through the wireless The communication module communicates with the intelligent sensing module, the intelligent control module, and the meteorological detection module;

   The intelligent sensing module is used to change, detect and collect the environment of agricultural products through sensors, and the sensors include humidity sensors, optical fiber sensors, carbon dioxide sensors, chlorophyll content measurement sensors, soil pH sensors and soil nutrient sensors;

   The intelligent control module is used for irrigating, spraying, and supplementing light on agricultural products through mechanical equipment, and the mechanical equipment includes irrigation equipment, spraying equipment and supplementing light equipment;

   The weather detection module is used to detect the weather;

   The wireless communication module is used to provide network connection to the system, so that the modules are related to each other.
2. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 1, wherein the humidity sensor is used to detect the humidity in the agricultural product environment, and the optical fiber sensor is used for The light in the agricultural product environment is collected and sent to the modulator, so that the parameter to be measured interacts with the light entering the modulation area, resulting in a change in the optical properties of the light, and then using the influence of the measured light on the transmission characteristics, To complete the measurement, the carbon dioxide sensor is used to detect the carbon dioxide content in the agricultural product environment, the chlorophyll content measurement sensor is used to detect the chlorophyll content in the agricultural product, and the soil pH sensor is used to detect the acidity and alkalinity in the soil. Detection, the soil nutrient sensor is used to detect the content of nitrogen, potassium and phosphorus in the soil.
3. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 1, wherein the irrigation equipment is used to dry and fertilize agricultural products, and the spraying equipment is used to It is used for spraying agricultural products, and the supplementary light equipment is used for lighting agricultural products.
4. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 1, wherein the irrigation equipment includes an intelligent control unit, a fertilizer proportioning unit, a stock solution mixing unit, a filtering unit, a fertilizer Dosing unit and soil fertilizer content monitoring unit, the irrigation equipment performs fertilizer proportioning, water-liquid mixing, filtering and fertilizer dosing operations according to the expert model software downloaded by the Internet of Things terminal, and realizes automatic stirring, constant pressure conveying, and filter blockage Monitoring and automatic backwashing.
5. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 1, wherein the spraying steps of the spraying equipment are as follows:

   S101. Obtain the farmland information corresponding to the farmland to be sprayed; wherein the farmland information includes the current farmland ID, GPS coordinate information, farmland area, crop name, name of the pesticide required, the proportion of the pesticide, the amount of the pesticide to be sprayed The amount of pesticide released;

   S102. According to the obtained farmland information, the pesticide is prepared through the spray device to obtain the pesticide that meets the current farmland;

   S103. Spray the prepared pesticide through the spray rod of the spray device, open the liquid outlet solenoid valve, and measure the amount of pesticide flowing out of the liquid outlet in real time through the liquid outlet flowmeter;

   S104. Calculate the difference between the amount of pesticide to be sprayed and the liquid output obtained by the liquid flow meter in real time, and determine whether the difference is smaller than a preset threshold, and if so, close the liquid outlet solenoid valve, Stop spraying.
6. The highly reliable and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 1, wherein the meteorological monitoring module includes a rain detector, a snow detector, a wind direction wind speed detector, a temperature and humidity detector, and a wind speed detector. A detector and a data collector, the data collector is respectively connected with the rain detector, the snow detector, the wind direction and wind speed detector and the temperature and humidity detector.
7. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 1, wherein the wireless communication module is a 5G communication module, a 4G communication module, a Bluetooth module, a WiFi module, and a GSM module , CDMA module, CDMA2000 module, WCDMA module, TD-SCDMA module, Zigbee module and LoRa module, any one or any combination of several.
8. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 1, characterized in that: the humidity sensors are provided with several groups, and the humidity sensors of several groups are evenly distributed in the agricultural planting land, The installation depth of the humidity sensor is 15-45cm away from the ground surface; the humidity sensor is used for data processing of the collected humidity parameters, and the data processing of the humidity parameters adopts the data collected by several groups of humidity sensors according to the numerical order of a1 , a2, a3...a(n-1), an, after removing the 3 maximum values and 3 minimum values, carry out the remaining data a4, a5,...a(n-4), a(n-3) average calculation,

   The formula is: a=[a4+a5+...a(n-4)+a(n-3)]/(n-6);

   The average calculation result a is the soil moisture.
9. The high-reliability and low-cost agricultural Internet of Things system based on optical fiber sensing and artificial intelligence according to claim 8, characterized in that: the soil nutrient sensor is set in the agricultural planting field in the same way as the humidity sensor, and the The soil nutrient sensor is used to perform data processing on the collected nutrient content parameters; the data processing of the nutrient content parameters adopts the sequence of nitrogen content values collected by several soil nutrient sensors as b1, b2, ... b(n-1), bn, the average calculation of the collected data,

   The formula is: b=[b1+b2+...+b(n-1)+bn]/n;

   The average calculation result b is expressed as the nitrogen content in the soil;

   The nutrient content parameter data processing adopts the numerical order of the potassium content collected by several soil nutrient sensors to be c1, c2, ... c(n-1), cn, and the average calculation of the collected data is carried out.

   The formula is: c=[c1+c2+...+c(n-1)+cn]/n;

   The average calculation result c promptly represents the potassium content in the soil;

   The nutrient content parameter data processing adopts that the phosphorus content values collected by several soil nutrient sensors are arranged in the order of d1, d2, ... d(n-1), dn, and the average calculation of the collected data is carried out.

   The formula is: d=[d1+d2+...+d(n-1)+dn]/n;

   The average calculation result d is expressed as the phosphorus content in the soil.

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