CN114185381A - Automatic orchard monitoring system and method based on Internet of things - Google Patents
Automatic orchard monitoring system and method based on Internet of things Download PDFInfo
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- 239000002420 orchard Substances 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000012544 monitoring process Methods 0.000 title claims abstract description 19
- 238000001514 detection method Methods 0.000 claims abstract description 137
- 239000002689 soil Substances 0.000 claims abstract description 46
- 238000005286 illumination Methods 0.000 claims abstract description 38
- 238000000825 ultraviolet detection Methods 0.000 claims abstract description 15
- 230000002262 irrigation Effects 0.000 claims description 23
- 238000003973 irrigation Methods 0.000 claims description 23
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 11
- 238000005507 spraying Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 230000006855 networking Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 5
- 235000013399 edible fruits Nutrition 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006866 deterioration Effects 0.000 description 2
- 230000029553 photosynthesis Effects 0.000 description 2
- 238000010672 photosynthesis Methods 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002407 reforming Methods 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- 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 application relates to an automatic orchard monitoring system and method based on the Internet of things, which comprises the following steps: acquiring detection signals sent by a plurality of mounting racks and weather detection data in N days in the future; analyzing soil temperature and humidity detection data, air temperature and humidity detection data, illumination intensity detection data, rainfall detection data and ultraviolet detection data carried by the detection signals; comparing the data carried by the detection signal with weather detection data in N days in the future; and if the detected data tends to be bad, controlling the corresponding system to work. The application can adjust the growing environment of different areas and different plots to balance the ecological environment in the orchard.
Description
Technical Field
The application relates to the field of orchard monitoring, in particular to an automatic orchard monitoring system and method based on the Internet of things.
Background
Along with the development of domestic agricultural technology and the advocation of green agriculture, the orchard is required to reduce the emission of carbon dioxide, and simultaneously, the manpower is reduced, and the cost is reduced.
Current orchard all realizes planting by a large scale through reforming to more and more intelligent, but, the intelligent improvement in present orchard mainly prevents to steal, prevents the transformation of catching fire equidirectional orientation to the orchard, simultaneously, monitors through unmanned aerial vehicle, but the unmanned aerial vehicle control can't adapt to bad weather, consequently to the difficult realization of orchard control in real time.
Disclosure of Invention
In order to solve the above technical problem or at least partially solve the above technical problem, the present application provides a method.
In a first aspect, the application provides an automatic orchard monitoring method based on the internet of things, which is characterized by comprising the following steps:
acquiring detection signals sent by a plurality of mounting racks and weather detection data in N days in the future;
analyzing soil temperature and humidity detection data, air temperature and humidity detection data, illumination intensity detection data, rainfall detection data and ultraviolet detection data carried by the detection signals;
comparing the data carried by the detection signal with weather detection data in N days in the future;
and if the detected data tends to be bad, controlling the corresponding system to work.
Preferably, if the detected data tends to deteriorate, controlling the corresponding system to work includes:
if the mean value of the detected data tends to be bad, controlling the corresponding system to work; alternatively, the first and second electrodes may be,
and if the areas corresponding to the detection data are centralized and the detection data in the centralized areas tend to be bad, controlling the corresponding systems in the centralized areas to work.
Preferably, if the areas corresponding to the detection data are centralized and the detection data in the centralized areas tend to deteriorate, controlling the corresponding systems in the centralized areas to work includes:
if the soil temperature and humidity detection data and the rainfall detection data in the centralized area tend to decrease in the next N days, controlling an irrigation system in the centralized area to work;
if the air temperature and humidity detection data in the centralized area tend to decrease in the next N days, controlling a water spraying system in the centralized area to work;
if the illumination intensity detection data in the centralized area tend to decrease in the next N days, controlling an illumination system in the centralized area to work;
if the ultraviolet detection data in the centralized area tend to decrease in the next N days, controlling an ultraviolet irradiation system in the centralized area to work;
and if the rainfall detection data in the centralized area tend to be strengthened in the next N days, controlling the drainage system in the centralized area to work.
Preferably, the method comprises:
the detection signals also comprise mounting rack equipment abnormity detection signals;
and judging a fault point according to a plurality of abnormal signals acquired by nodes at different times.
Preferably, if the soil temperature and humidity detection data and the rainfall detection data in the centralized region tend to decrease in the next N days, controlling the irrigation system in the centralized region to work, including:
judging the temperature average value and the humidity average value of soil in the centralized area;
if the temperature mean value of the soil is high and the humidity mean value of the soil is low, the irrigation system is controlled to work;
if the temperature mean value of the soil is low, the humidity mean value is high, and the rainfall exceeding 10mm exists in the future one week, the irrigation system is suspended.
Preferably, if the rainfall detection data in the concentration area tends to be strengthened in the next N days, the control of the drainage system in the concentration area comprises:
and calculating the sum of the current rainfall and the rainfall in the future week, and controlling to open a drainage system for drainage if the sum exceeds a rainfall threshold value which can be borne by the orchard.
Preferably, the determining a fault point according to multiple abnormal signals collected by different time nodes includes:
acquiring detection signals of the mounting racks at each place in the orchard at preset interval time;
and determining a fault point according to the number and time of the detection signal loss.
In a second aspect, the application provides an automatic orchard monitoring system based on the internet of things, which is characterized by comprising:
the device comprises a mounting rack, a wind power detection device, an illumination intensity detection device, a rainfall detection device, an ultraviolet detection device, an air temperature detection device, an air humidity detection device and a soil temperature and humidity detection device, wherein the wind power detection device, the illumination intensity detection device, the rainfall detection device, the ultraviolet detection device, the air temperature detection device, the air humidity detection device and the soil temperature and humidity detection device are arranged on the mounting rack;
the control center receives the detection signal sent by the mounting rack;
the irrigation system, the water spraying system, the illumination system, the ultraviolet irradiation system and the drainage system are all connected with the control center.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the method and the system, a plurality of installation frames are arranged in the orchard in a planned mode, and the wind power detection device, the illumination intensity detection device, the rainfall detection device, the ultraviolet detection device, the air temperature detection device, the air humidity detection device and the soil temperature and humidity detection device for detecting data can monitor the growth environment data of different areas and different land parcels in the orchard through the automatic orchard monitoring method based on the Internet of things, and can regulate and control the growth environment data in real time to meet the growth of fruit trees. The system can adapt to severe weather, timely detect and timely feed back, and timely regulate and control.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of an automatic orchard monitoring system based on the internet of things according to an embodiment of the present application;
fig. 2 is a schematic diagram of an automatic orchard monitoring method based on the internet of things according to an embodiment of the application;
fig. 3 is a schematic diagram of step S410 provided in the embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an automatic orchard monitoring system based on the internet of things according to an embodiment of the present application. In fig. 1, a plurality of mounting frames are arranged in an orchard, an irrigation system and a drainage system are buried under the orchard, the irrigation system comprises a pipeline arranged under the ground, a solenoid valve which can be remotely controlled to be switched on and off is arranged at a branch of the pipeline, and meanwhile, a drainage pump is arranged at the end part of the pipeline, so that redundant water on the orchard ground can be drained through the drainage pump.
The illumination system and the ultraviolet irradiation system are arranged on the mounting frame, and the spraying systems are distributed in the orchard and upwards spray water through underground water pipelines.
The mounting rack is also provided with a wind power detection device, an illumination intensity detection device, a rainfall detection device, an ultraviolet detection device, an air temperature detection device, an air humidity detection device and a soil temperature and humidity detection device;
the control center is located the orchard office, the control center receives the detected signal who sends from the mounting bracket. Irrigation system, sprinkler system, illumination system, ultraviolet irradiation system, drainage system, all with control center connects, in the office, can directly control irrigation system, sprinkler system, illumination system, ultraviolet irradiation system, drainage system's work through control center, can detect the detection signal of wind-force detection device, illumination intensity detection device, rainfall detection device, ultraviolet detection device, air temperature detection device, air humidity detection device, soil humiture detection device simultaneously.
Referring to fig. 2, fig. 2 is a schematic view of an automatic orchard monitoring method based on the internet of things according to an embodiment of the present application.
In S100, detection signals sent by a plurality of mounting racks and weather detection data in the next N days are acquired.
The wind power, illumination, rainfall, ultraviolet rays, air temperature and humidity and soil temperature and humidity data in the orchard can be detected by the wind power detection device, the illumination intensity detection device, the rainfall detection device, the ultraviolet ray detection device, the air temperature detection device, the air humidity detection device and the soil temperature and humidity detection device which are arranged on the mounting frame. Evenly distributed is provided with a plurality of mounting brackets in the orchard, consequently, can acquire a plurality of detected signal.
Meanwhile, the control center needs to acquire weather detection data in the next N days, for example, data of future light intensity, ultraviolet intensity, air temperature and humidity, rainfall, and the like. According to the weather change rule in different seasons, the number of days for acquiring future weather detection data can be set. For example, summer season changes fast, and summer weather is hot moisture evaporation faster moreover, and the orchard just lacks water soon in, and the frequency of irrigation is higher, therefore, can set up summer time, acquires the detection data in 3 days at most.
The future weather data are obtained while the detection signals in the orchard are detected, and the temperature, humidity, rainfall and the like in the orchard can be effectively adjusted, so that the orchard can reach an equilibrium state.
And in S200, analyzing soil temperature and humidity detection data, air temperature and humidity detection data, illumination intensity detection data, rainfall detection data and ultraviolet detection data carried by the detection signals.
Each mounting bracket all corresponds a serial number, for example serial number A, B, C, D etc. and the data of each type that detect on the mounting bracket set up different serial numbers equally, for example the soil humiture data serial number on the mounting bracket A is A1, so on, the data of the different grade type of each mounting bracket all corresponds there is corresponding serial number, consequently, when accepting a plurality of data that each mounting bracket sent, can classify the data of different grade type according to the numbering rule.
Or different data can be projected on the virtual map of the orchard in real time through the virtual map of the orchard under the control of the control center, and the conditions of air temperature and humidity, soil temperature and humidity and the like of each land can be visually seen through the virtual map.
In S300, the data carried by the detection signal is compared with the weather detection data in the next N days.
And comparing the analyzed data on each mounting rack with the weather detection data in N days. For example, the air temperature and humidity data on the price mounting rack a is compared with the air temperature and humidity data in the next N days, the current rainfall data is compared with the rainfall data in the next N days, the illumination data is compared with the illumination data in the next N days, and the like.
In S400, if the detected data tends to deteriorate, the corresponding system is controlled to operate.
The data trend deterioration is detected to mean that the production environment in the orchard tends to be severe by combining the detected data with weather change. For example, the detected light intensity is weak, and the light intensity in the future days is also weak, so that the fruit trees in the orchard lack photosynthesis, and therefore the light system can be manually controlled to illuminate, and the photosynthesis is enhanced.
The criterion for determining the data area deterioration may be determined by determining whether the average area of the detection data is deteriorated or whether the areas corresponding to the detection data are concentrated. Specifically, the illumination intensity value of each plot in the orchard is detected by taking the illumination intensity as an example, the average value of the illumination intensity data of all the plots is calculated, and whether the illumination intensity value of the orchard meets the requirement of the orchard illumination intensity is judged by taking the average value as a standard.
Alternatively, the control may be split. Referring to fig. 3 in particular, fig. 3 is a schematic diagram of step S410 provided in the embodiment of the present application.
In step S411, if the soil temperature and humidity measurement data and the rainfall measurement data in the centralized area tend to decrease in the next N days, the irrigation system in the centralized area is controlled to operate.
The range of the concentrated area takes soil temperature and humidity data as an example, the soil temperature and humidity data of each land is detected to carry out regional division, for example, the soil temperature and humidity of some lands exceed a certain preset value, then the land areas form a concentrated area, and in the concentrated area, the soil temperature and humidity are close to each other. In this concentration region, go and reduce soil temperature and humidity measurement data and rainfall measurement data in future N days, that is to say, the weather in the future N days is dry, does not have the rainfall, explains in the future N days, and this concentration region's soil temperature and humidity can continuously reduce, consequently, need irrigate in this concentration region to guarantee the moisture content of this concentration region intra-area orchard soil.
Specifically, see the following steps:
judging the temperature average value and the humidity average value of soil in the centralized area;
if the temperature mean value of the soil is high and the humidity mean value of the soil is low, the irrigation system is controlled to work;
if the temperature mean value of the soil is low, the humidity mean value is high, and the rainfall exceeding 10mm exists in the future one week, the irrigation system is suspended.
And coordinating and controlling the work of the irrigation system by judging the soil temperature mean value and the soil humidity mean value of each plot in the centralized area. If the temperature mean value of the soil is high and the humidity mean value of the soil is low, the soil in the centralized area needs to be irrigated in time, and therefore the irrigation system can be controlled to water. The irrigation pipeline electromagnetic valve in the centralized area is controlled to be opened, so that watering and irrigation in the centralized area can be controlled.
In step S412, if the air humidity detection data in the centralized area tends to decrease in the next N days, the operation of the water spraying system in the centralized area is controlled.
The air temperature and humidity data in the centralized area refers to the fact that the received air temperature and humidity data of each plot are compared and analyzed, the plots corresponding to the data in the same range become the centralized area, the air temperature and humidity of the area are detected, and if the air temperature and humidity corresponding to weather forecast are also reduced in the next N days, the fact that the air temperature and humidity in the centralized area can be continuously reduced in the next N days is indicated, so that the water spraying system in the centralized area can be controlled to work, and the air temperature and humidity in the centralized area can be improved.
In step S413, if the illumination intensity detection data in the centralized area tends to decrease in the next N days, the operation of the illumination system in the centralized area is controlled.
In a similar way, the received or detected illumination intensity data of each plot is classified according to different ranges, the plots in the same range can become concentrated areas, and the illumination intensity in the concentrated areas is close to each other, so that the illumination intensity in the concentrated areas can be intensively adjusted.
In step S414, if the ultraviolet detection data in the concentration area tends to decrease in the next N days, the operation of the ultraviolet irradiation system in the concentration area is controlled.
Similarly, the ultraviolet detection data of each detected land is classified according to different ranges, and the land in the same range can be a concentrated area, so that the illumination intensity in the concentrated area is close, and the illumination intensity in the concentrated area can be centrally adjusted.
In step S415, if the rainfall detection data in the concentration area tends to be strengthened in the next N days, the operation of the drainage system in the concentration area is controlled.
Specifically, the sum of the current rainfall and the rainfall in the future week is calculated, and if the sum exceeds the threshold of the rainfall which can be borne by the orchard, the drainage system is controlled to be opened for drainage.
In addition, in the method disclosed by the application, whether the mounting rack breaks down or not can be judged through the mounting rack equipment abnormity detection signal carried in the detection signal.
Specifically, the fault point can be judged through a plurality of abnormal signals collected by different time nodes. For example, at different time nodes in a day, a plurality of signals of the soil temperature and humidity detection device on one certain mounting frame are acquired to be missing, and the fault of the soil temperature and humidity detection device is shown.
Specifically, detection signals of mounting frames at each place in the orchard are acquired at preset intervals;
and determining a fault point according to the number and time of the detection signal loss.
In the embodiment of the present application, it may be defined that the number of signal missing exceeds 5 times, and the exact time of detecting the signal is to avoid thunderstorm weather, or other time points affecting the signal.
The embodiment disclosed in the application can monitor the growing environment data of different areas and different plots in the orchard in real time, and can remotely control the irrigation system, the drainage system, the illumination system, the ultraviolet system and the spraying system to work and timely adjust the growing environment in the orchard. Meanwhile, the fruit trees can be respectively adjusted in different areas, and the growing environments of different areas are different due to different factors such as the intensity and illumination of the fruit trees, so that different problems of different areas can be solved in time, and the growing environments among different plots of the orchard can be balanced.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An automatic orchard monitoring method based on the Internet of things is characterized by comprising the following steps:
acquiring detection signals sent by a plurality of mounting racks and weather detection data in N days in the future;
analyzing soil temperature and humidity detection data, air temperature and humidity detection data, illumination intensity detection data, rainfall detection data and ultraviolet detection data carried by the detection signals;
comparing the data carried by the detection signal with weather detection data in N days in the future;
and if the detected data tends to be bad, controlling the corresponding system to work.
2. The Internet of things-based automatic orchard monitoring method according to claim 1, wherein if the detection data tend to deteriorate, the corresponding system is controlled to work, and the method comprises the following steps:
if the mean value of the detected data tends to be bad, controlling the corresponding system to work; alternatively, the first and second electrodes may be,
and if the areas corresponding to the detection data are centralized and the detection data in the centralized areas tend to be bad, controlling the corresponding systems in the centralized areas to work.
3. The Internet of things-based automatic orchard monitoring method according to claim 2, wherein if the areas corresponding to the detection data are centralized and the detection data in the centralized areas tend to be bad, the control of the corresponding systems in the centralized areas comprises:
if the soil temperature and humidity detection data and the rainfall detection data in the centralized area tend to decrease in the next N days, controlling an irrigation system in the centralized area to work;
if the air temperature and humidity detection data in the centralized area tend to decrease in the next N days, controlling a water spraying system in the centralized area to work;
if the illumination intensity detection data in the centralized area tend to decrease in the next N days, controlling an illumination system in the centralized area to work;
if the ultraviolet detection data in the centralized area tend to decrease in the next N days, controlling an ultraviolet irradiation system in the centralized area to work;
and if the rainfall detection data in the centralized area tend to be strengthened in the next N days, controlling the drainage system in the centralized area to work.
4. The Internet of things-based automated orchard monitoring method according to claim 1, wherein the method comprises:
the detection signals also comprise mounting rack equipment abnormity detection signals;
and judging a fault point according to a plurality of abnormal signals acquired by nodes at different times.
5. The Internet of things-based automatic orchard monitoring method according to claim 3, wherein if the soil temperature and humidity detection data and the rainfall detection data in the centralized region tend to decrease in N days in the future, the method for controlling the irrigation system in the centralized region to work comprises the following steps:
judging the temperature average value and the humidity average value of soil in the centralized area;
if the temperature mean value of the soil is high and the humidity mean value of the soil is low, the irrigation system is controlled to work;
if the temperature mean value of the soil is low, the humidity mean value is high, and the rainfall exceeding 10mm exists in the future one week, the irrigation system is suspended.
6. The Internet of things-based automatic orchard monitoring method according to claim 3, wherein if the rainfall detection data in the centralized region tend to be strengthened in the next N days, controlling a drainage system in the centralized region to work comprises the following steps:
and calculating the sum of the current rainfall and the rainfall in the future week, and controlling to open a drainage system for drainage if the sum exceeds a rainfall threshold value which can be borne by the orchard.
7. The Internet of things-based automatic orchard monitoring method according to claim 4, wherein the step of judging fault points according to multiple abnormal signals collected by different time nodes comprises the following steps:
acquiring detection signals of the mounting racks at each place in the orchard at preset interval time;
and determining a fault point according to the number and time of the detection signal loss.
8. The utility model provides an automatic orchard monitored control system based on thing networking which characterized in that includes:
the device comprises a mounting rack, a wind power detection device, an illumination intensity detection device, a rainfall detection device, an ultraviolet detection device, an air temperature detection device, an air humidity detection device and a soil temperature and humidity detection device, wherein the wind power detection device, the illumination intensity detection device, the rainfall detection device, the ultraviolet detection device, the air temperature detection device, the air humidity detection device and the soil temperature and humidity detection device are arranged on the mounting rack;
the control center receives the detection signal sent by the mounting rack;
the irrigation system, the water spraying system, the illumination system, the ultraviolet irradiation system and the drainage system are all connected with the control center.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111496208.3A CN114185381A (en) | 2021-12-09 | 2021-12-09 | Automatic orchard monitoring system and method based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115759628A (en) * | 2022-11-17 | 2023-03-07 | 中国科学院空天信息创新研究院 | Digital country construction system based on air-space-ground multi-source data fusion |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115759628A (en) * | 2022-11-17 | 2023-03-07 | 中国科学院空天信息创新研究院 | Digital country construction system based on air-space-ground multi-source data fusion |
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Application publication date: 20220315 |