CN113448368A - Internet of things intelligent agricultural control detection method and system - Google Patents
Internet of things intelligent agricultural control detection method and system Download PDFInfo
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- CN113448368A CN113448368A CN202110722676.1A CN202110722676A CN113448368A CN 113448368 A CN113448368 A CN 113448368A CN 202110722676 A CN202110722676 A CN 202110722676A CN 113448368 A CN113448368 A CN 113448368A
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- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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Abstract
The invention discloses an intelligent agricultural control detection method and system for the Internet of things, and belongs to the technical field of the Internet of things. The method comprises the following steps: collecting crop growth environment parameter values; analyzing the growth environment parameter value, and comparing the growth environment parameter value with the optimum growth environment parameter value range of the crops stored in a database in advance; if the parameter value of the growth environment is lower than the lower limit value of the parameter value range of the optimal growth environment or higher than the upper limit value of the parameter value range of the optimal growth environment; and adjusting the growth environment of the crops to ensure that the parameter value of the growth environment is within the optimum parameter value range of the growth environment. Therefore, the accurate control of the crop planting environment is realized, the agricultural production efficiency is improved, the intellectualization of agricultural production is realized, and the labor cost is reduced.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an intelligent agricultural control detection method and system for the Internet of things.
Background
The Internet of things: the internet of things is recognized by the world as the third wave of the world information industry following computers, the internet and mobile communication networks. The network is a network which realizes the comprehensive interconnection of people and people, people and objects on the premise of perception. In the background, various microchips are implanted in an object, and various information of the physical world is acquired by these sensors and is interactively transmitted through various communication networks such as a local wireless network, the internet, a mobile communication network, and the like, thereby realizing world perception.
How do temperature, humidity, light, carbon dioxide concentration, watering, fertilizing, etc. affect the growth of crops and supply on demand? Should melon, fruit and vegetable not be watered? Should not be the application of fertilizer or insecticide? In the traditional agriculture, a plurality of watering, fertilizing and pesticide spraying in the growth period all depend on experience and feel, so that a great deal of resource waste is caused, and the product quality is uneven. Therefore, there is a need for an intelligent agricultural control detection method and system for the internet of things.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an intelligent agricultural control detection method and system for the Internet of things. The technical scheme is as follows:
on the one hand, an intelligent agricultural control detection method for the Internet of things is provided, and comprises the following steps:
collecting crop growth environment parameter values;
analyzing the growth environment parameter value, and comparing the growth environment parameter value with the optimum growth environment parameter value range of the crops stored in a database in advance;
if the parameter value of the growth environment is lower than the lower limit value of the parameter value range of the optimal growth environment or higher than the upper limit value of the parameter value range of the optimal growth environment;
and adjusting the growth environment of the crops to ensure that the parameter value of the growth environment is within the range of the parameter value of the optimal growth environment.
Further, the parameter values of the growth environment are air temperature and humidity, soil humidity, illumination intensity and CO2Concentration, soil pH value, soil element content and crop disease area.
Further, the database stores parameter value ranges of the optimum growth environment of the crops in different areas, different crops and different growth stages;
when the parameter values of the crop growth environment are collected, the position information of crops, the types of the crops and the growth stage of the crops are obtained at the same time,
and then comparing the position information, the crop species and the growth stage of the crop with the corresponding parameter value range of the optimal growth environment of the crop.
And further, when the growth environment of the crops is regulated, the regulation condition is monitored in real time, and if the growth environment parameter value is within the optimal growth environment parameter value range and is continuously regulated, an alarm is given.
Furthermore, when the growth environment of crops is adjusted, the adjustment data is recorded in real time and stored.
On the other hand, an intelligent agricultural control detecting system of the internet of things is provided, which comprises:
a data acquisition module: the device is used for collecting the parameter values of the crop growth environment;
a data analysis module: analyzing the growth environment parameter value, and comparing the growth environment parameter value with the optimum growth environment parameter value range of the crops stored in a database in advance;
an adjusting module: is used for regulating the growth environment of crops.
Further, the data acquisition module comprises: air temperature and humidity sensor, soil humidity sensor, illumination intensity sensor and CO2The device comprises a concentration sensor, a soil pH value sensor, a soil element content detector and a shooting device;
the adjustment module includes: humidification device, drying device, heating device, heat sink, irrigation equipment, light filling device, shade, CO2Concentration adjusting device, fertilizer injection unit and pesticide sprinkler.
Further, the system further comprises:
a positioning module: the system is used for acquiring the position information of crops;
an identification module: for identifying the crop species and the growth stage of the crop.
Further, the system further comprises:
an alarm module: and the alarm is given when the parameter value of the growth environment is in the optimum parameter value range of the growth environment and the adjustment is continued.
Further, the system further comprises: a recording module: and the data acquisition and storage device is used for recording and storing the adjustment data in real time when adjusting the growth environment of crops.
The technical scheme provided by the embodiment of the invention has the following beneficial effects: according to the invention, by collecting the crop growth environment parameter value and comparing the crop growth environment parameter value with the optimal growth environment parameter value range of the crops, if the growth environment parameter value is lower than the lower limit value of the optimal growth environment parameter value range or higher than the upper limit value of the optimal growth environment parameter value range, the adjustment is carried out, the accurate control of the crop planting environment is realized, the agricultural production efficiency is improved, the intellectualization of the agricultural production is realized, and the labor cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an internet of things intelligent agricultural control detection method provided by an embodiment of the invention;
fig. 2 is a schematic structural diagram of a component of an intelligent agricultural control and detection system of the internet of things according to a second embodiment of the invention.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Example one
An intelligent agricultural control detection method for the internet of things is disclosed, and referring to fig. 1, the method comprises the following steps:
step (1): and collecting the parameters of the crop growth environment.
It should be noted that the growth environmentThe parameter values can be air temperature and humidity, soil humidity, illumination intensity and CO2Concentration, soil pH value, soil element content and crop disease area.
It should be noted that the physiological activities and biochemical reactions of the crops must be carried out at a certain temperature, and when the temperature is higher or lower than the tolerable range of the crops, the development is hindered; the opening and closing of the air holes of the crops are influenced by the air humidity, the air holes can be closed due to the fact that the air humidity is too high or too low, and CO is generated when the air holes are closed2The leaf pulp cells can not enter, the photosynthesis is slowed down or stopped, and the development is hindered; when the soil humidity is lower, the crops are easy to lose water and are hindered from developing; the growth of crops is realized by storing organic matters through photosynthesis, so the illumination intensity has great influence on the growth and development of crops, the illumination intensity directly influences the photosynthesis intensity of the crops, protoplasm can be damaged when the illumination intensity is too strong, chlorophyll decomposition is caused, or cells are excessively dehydrated to close air holes, the photosynthesis is weakened or even stopped, when the illumination intensity is weak, organic substances produced by the photosynthesis of the crops are less than the consumption of the respiration, the crops can stop growing, and the crops can normally grow and develop only when the illumination intensity can meet the requirement of the photosynthesis; CO 22Too high concentration will change the original carbon-nitrogen ratio, resulting in degradation of the ecosystem and reduced productivity, CO2Development is hindered at too low a concentration; most crops are at pH>9.0 or<2.5, the fertilizer is difficult to grow, crops can normally grow in a wide range, but various crops have proper pH; the growth of crops needs some necessary nutrient elements, otherwise the crops can not maintain life; crop diseases also affect crop development. Therefore, the humidity of air, soil, illumination intensity, and CO2The concentration, the pH value of the soil, the soil elements and the crop diseases are monitored in real time, scientific management is carried out, and the growth of crops is facilitated.
Secondly, the air temperature and humidity can be detected by an air temperature and humidity sensor, the soil humidity can be detected by a soil humidity sensor, and the illumination intensity can be detected by an illumination intensity sensorDetection, CO2The concentration can be by CO2Concentration sensor detects, and soil pH value can detect through soil pH value sensor, and soil element can detect through soil element content detector, and the crops disease area can be detected through the shooting device photo.
Step (2): and analyzing the growth environment parameter value, and comparing the growth environment parameter value with the optimum growth environment parameter value range of the crops stored in a database in advance.
It should be noted that the optimum air temperature/humidity range, soil humidity range, illumination intensity range, and CO for the crop can be stored in the database in advance2Concentration range, soil pH value range, soil element types and content range, types of crop diseases and normal range of the crop disease area; and when the received growth environment parameter value is compared with the optimum growth environment parameter value range of the crops pre-stored in the database, if the optimum growth environment parameter value range is lower than the lower limit value or higher than the upper limit value, the optimum growth environment parameter value range is adjusted in time, so that the normal growth of the crops is ensured.
In addition, the database stores parameter value ranges of the optimum growth environment of the crops in different areas, different crops and different growth stages; when the crop growth environment parameter values are collected, the position information of crops, the types of the crops and the growth stages of the crops are obtained at the same time, and then the comparison is carried out according to the position information, the types of the crops and the growth stages of the crops and the corresponding optimum growth environment parameter value ranges of the crops stored in the database.
For example, the database stores different optimal growth environment parameter value ranges of a crop in a greenhouse A and a crop B in a greenhouse B in different growth stages of seedlings, green crops, flowers and fruits, ripe fruits and fruits, a certain growth environment parameter value of the crop a in the greenhouse A and the crop B in the greenhouse B is collected firstly, if the crop a is in a seedling period, the collected growth environment parameter value of the crop a in the greenhouse A can be compared with the optimal growth environment parameter value range corresponding to the seedling period of the crop a stored in the database, and if the value is lower than a lower limit value or higher than the upper limit value, the growth environment parameter value in the greenhouse A is adjusted; if the B crops are in the fruit producing period, the collected growth environment parameter values of the B crops in the B greenhouse can be compared with the optimal growth environment parameter value range corresponding to the fruit producing period of the B crops stored in the database, and if the growth environment parameter values are lower than a lower limit value or higher than an upper limit value, the growth environment parameter values in the B greenhouse are adjusted.
And (3): if the parameter value of the growth environment is lower than the lower limit value of the parameter value range of the optimal growth environment or higher than the upper limit value of the parameter value range of the optimal growth environment; and adjusting the growth environment of the crops to ensure that the parameter value of the growth environment is within the optimum parameter value range of the growth environment.
It should be noted that, when the air temperature is higher than the upper limit value of the air temperature range for optimum growth, the temperature can be reduced by the temperature reduction device, and when the air temperature is lower than the lower limit value of the air temperature range for optimum growth, the temperature can be increased by the heating device, and when the air temperature is higher than the lower limit value of the air temperature range for optimum growth, the temperature is stopped; when the air humidity is higher than the upper limit value of the air humidity range with the optimal growth, the drying device can be used for drying, and the drying device is stopped when the air humidity is reduced to the air humidity range with the optimal growth; when the air humidity is lower than the lower limit value of the air humidity range of the optimal growth, the humidification can be carried out through the humidification device, and the humidification is stopped when the air humidity is increased to the air temperature range of the optimal growth; when the soil humidity is lower than the lower limit value of the soil humidity range with the optimal growth, irrigation can be carried out through an irrigation device; when the illumination intensity is lower than the lower limit value of the illumination intensity range for the optimal growth, the light can be supplemented through the light supplementing device, and when the illumination intensity is higher than the upper limit value of the illumination intensity range for the optimal growth, the light can be shielded through the light shielding device; when CO is present2CO concentrations higher or lower than optimum for growth2At the upper or lower limit of the concentration range, passing CO2CO adjusted to optimum growth by concentration adjusting device2Within the concentration range; when the pH value of the soil is higher than or lower than the upper limit value or the lower limit value of the pH value range of the soil with the optimal growth, the pH value of water can be adjusted during irrigation, so that the pH value of the soil is adjusted to be within the pH value range of the soil with the optimal growth through irrigation; when in useWhen the content of certain element in the soil element is too low, the fertilizer of the element can be applied through the fertilizing device; the types of crop diseases are analyzed through the shot pictures, then the disease areas are calculated, and if the disease areas are larger than the normal area range of the crop diseases, corresponding pesticides can be sprayed through the pesticide spraying device.
It should be further noted that, when the crop growth environment is adjusted, the adjustment condition is monitored in real time, and if the growth environment parameter value is within the optimum growth environment parameter value range, the adjustment is continued, and then an alarm is given. For example, when the air temperature and humidity, the illumination intensity and CO2After the concentration is adjusted within the optimum growth environment parameter value range, the temperature and humidity of air, the illumination intensity and CO are adjusted2If the concentration device is still running, alarming is carried out to remind workers to process in time; soil moisture, soil pH value, soil element content and crops disease area need certain time could judge whether adjust in the most suitable growth environment parameter value within range, therefore, can set up earlier when irrigating or spraying insecticide and irrigate or spray the pesticide time, if reach and irrigate or spray the pesticide time, the staff in time is reminded in the operation to the device still, after a period of time, gather soil moisture again, soil pH value, soil element content and crops disease area parameter value, judge whether in the most suitable growth environment parameter value within range, if not, continue to set up and irrigate or spray the pesticide time.
In addition, when the growth environment of crops is adjusted, the adjustment data is recorded in real time and is stored. For example, the amount of water irrigated, the type and amount of pesticide sprayed, CO2And (4) storing and recording data such as concentration quantity, so as to generate a complete traceability record.
Example two
An intelligent agricultural control detection system of internet of things, referring to fig. 2, the system comprises:
a data acquisition module: the device is used for collecting the parameter values of the crop growth environment;
a data analysis module: analyzing the growth environment parameter value, and comparing the growth environment parameter value with the optimum growth environment parameter value range of the crops stored in a database in advance;
an adjusting module: is used for regulating the growth environment of crops.
Further, the data acquisition module comprises: air temperature and humidity sensor, soil humidity sensor, illumination intensity sensor and CO2The device comprises a concentration sensor, a soil pH value sensor, a soil element content detector and a shooting device;
the adjustment module includes: humidification device, drying device, heating device, heat sink, irrigation equipment, light filling device, shade, CO2Concentration adjusting device, fertilizer injection unit and pesticide sprinkler.
Further, the system further comprises:
a positioning module: the system is used for acquiring the position information of crops;
an identification module: for identifying the crop species and the growth stage of the crop.
Further, the system further comprises:
an alarm module: and the alarm is used for alarming when the parameter value of the growth environment is adjusted continuously after the parameter value of the growth environment is in the range of the parameter value of the optimal growth environment.
Further, the system further comprises: a recording module: and the data acquisition and storage device is used for recording and storing the adjustment data in real time when adjusting the growth environment of crops.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An intelligent agricultural control detection method for the Internet of things is characterized by comprising the following steps:
collecting crop growth environment parameter values;
analyzing the growth environment parameter value, and comparing the growth environment parameter value with the optimum growth environment parameter value range of the crops stored in a database in advance;
if the parameter value of the growth environment is lower than the lower limit value of the parameter value range of the optimal growth environment or higher than the upper limit value of the parameter value range of the optimal growth environment;
and adjusting the growth environment of the crops to ensure that the parameter value of the growth environment is within the range of the parameter value of the optimal growth environment.
2. The Internet of things intelligent agricultural control detection method according to claim 1, wherein the growth environment parameter values are air temperature and humidity, soil humidity, illumination intensity, CO2Concentration, soil pH value, soil element content and crop disease area.
3. The Internet of things intelligent agricultural control detection method according to claim 2, wherein the database stores parameter value ranges of optimal growth environments of crops in different areas, different crops and different growth stages;
when the parameter values of the crop growth environment are collected, the position information of crops, the types of the crops and the growth stage of the crops are obtained at the same time,
and then comparing the position information, the crop species and the growth stage of the crop with the corresponding parameter value range of the optimal growth environment of the crop.
4. The Internet of things intelligent agricultural control detection method according to claim 3, wherein when the crop growth environment is adjusted, the adjustment condition is monitored in real time, and if the growth environment parameter value is within the optimal growth environment parameter value range and is continuously adjusted, an alarm is given.
5. The Internet of things intelligent agricultural control detection method according to any one of claims 1-4, wherein when the crop growth environment is adjusted, adjustment data is recorded in real time and stored.
6. The utility model provides an thing networking intelligent agriculture control detecting system which characterized in that includes:
a data acquisition module: the device is used for collecting the parameter values of the crop growth environment;
a data analysis module: analyzing the growth environment parameter value, and comparing the growth environment parameter value with the optimum growth environment parameter value range of the crops stored in a database in advance;
an adjusting module: is used for regulating the growth environment of crops.
7. The Internet of things intelligent agricultural control detection system according to claim 6,
the data acquisition module comprises: air temperature and humidity sensor, soil humidity sensor, illumination intensity sensor and CO2The device comprises a concentration sensor, a soil pH value sensor, a soil element content detector and a shooting device;
the adjustment module includes: humidification device, drying device, heating device, heat sink, irrigation equipment, light filling device, shade, CO2Concentration adjusting device, fertilizer injection unit and pesticide sprinkler.
8. The Internet of things intelligent agricultural control detection system according to claim 7, wherein the system further comprises:
a positioning module: the system is used for acquiring the position information of crops;
an identification module: for identifying the crop species and the growth stage of the crop.
9. The Internet of things intelligent agricultural control detection system according to claim 7,
the system further comprises:
an alarm module: and the alarm is given when the parameter value of the growth environment is in the optimum parameter value range of the growth environment and the adjustment is continued.
10. The Internet of things intelligent agricultural control detection system according to claim 7, wherein the system further comprises: a recording module: and the data acquisition and storage device is used for recording and storing the adjustment data in real time when adjusting the growth environment of crops.
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Application publication date: 20210928 |
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