CN115299326A - Intelligent irrigation system based on computational power network scheduling and 5G - Google Patents
Intelligent irrigation system based on computational power network scheduling and 5G Download PDFInfo
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- CN115299326A CN115299326A CN202211063298.1A CN202211063298A CN115299326A CN 115299326 A CN115299326 A CN 115299326A CN 202211063298 A CN202211063298 A CN 202211063298A CN 115299326 A CN115299326 A CN 115299326A
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- 238000003973 irrigation Methods 0.000 title claims abstract description 50
- 230000002262 irrigation Effects 0.000 title claims abstract description 50
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 60
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000005286 illumination Methods 0.000 claims description 9
- 239000002689 soil Substances 0.000 claims description 8
- 239000007921 spray Substances 0.000 claims description 7
- 238000009434 installation Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
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- 238000012545 processing Methods 0.000 description 2
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- 241000238631 Hexapoda Species 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
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- 238000001514 detection method Methods 0.000 description 1
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Water Supply & Treatment (AREA)
- Environmental Sciences (AREA)
- Soil Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention belongs to the technical field of agricultural irrigation, and relates to an intelligent irrigation system based on computational power network scheduling and 5G, which comprises a water supply irrigation facility, a central control unit, a communication module and a data acquisition module; the computing power network resource scheduling platform is used for calling the managed cloud computing resources to perform data computation and feeding back the data to the central control unit for starting the corresponding water supply irrigation facilities; the multi-cluster management platform is used for cooperative management and resource scheduling of a plurality of edge computing clusters; the data collection module comprises a plurality of collection nodes arranged in the crop planting area. In the above, the data acquisition module monitors in good time, and the water supply irrigation facility is called under the instruction of central control unit and irrigates the operation, has avoided the condition that the flood irrigates, has practiced thrift the water resource. The data acquisition module dynamically detects various parameters of crops in natural conditions at different stages, and controls the amount of the water to be used, so that the utilization rate of water resources is improved, and the management of the crops is more efficient.
Description
Technical Field
The invention belongs to the technical field of agricultural irrigation, and particularly relates to an intelligent irrigation system based on computational power network scheduling and 5G, which is realized based on computational power network scheduling and 5G technology and is an advanced technology capable of remarkably improving production efficiency and reducing production cost in modern agriculture.
Background
Agriculture is an industry for obtaining products by artificial cultivation by utilizing growth and development rules of animals and plants. The agricultural working object is living animals and plants, and the obtained products are the animals and plants. Agriculture belongs to the first industry, and as a basic industry, agriculture supports national economic construction and development. Traditional agriculture mainly carries out operation management based on experience under weather and natural environment resources. With the development of modern industry and modern science and technology, on the basis of the traditional agriculture, the modern science and technology is applied, the natural compliance is changed into conscious utilization of the nature and natural transformation, the traditional experience is changed into the science, and the scientific modern agriculture is realized. Modern agriculture is a science based on the high development of botany, zoology, chemistry, physics and other sciences. In modern agriculture, the production conditions and technologies are modernized, and the agriculture is equipped by utilizing advanced technologies and production elements, so that the mechanization, electrification, informatization, biochemistry and chemistry of agricultural production are realized.
Wherein, in order to ensure the normal growth of crops and obtain high and stable yield, the crops must be supplied with sufficient moisture. Under natural conditions, the moisture in the soil cannot meet the moisture requirement of crop growth due to insufficient precipitation or uneven distribution. In the prior art, irrigation by sprinkling irrigation is usually adopted to supplement water and nutrients required by crop growth. Because the variety of crops (grain crops and economic crops) is more, the condition of interplanting can exist, and the natural resources of each planting area are different, the water amount of spray irrigation is not easy to control, and the normal growth of the crops is influenced or the crops are easy to suffer from plant diseases and insect pests because the water content is too sufficient; insufficient moisture will cause slow growth of the crop. Therefore, water resources are not efficiently utilized; it is desirable to provide an irrigation technique for automatically adapting to the water demand of crops to irrigate and replenish water, reduce the human cost, simultaneously improve irrigation district water resource management efficiency, optimize the configuration of irrigation district water resource.
Disclosure of Invention
The invention aims to provide an intelligent irrigation system based on computational power network scheduling and 5G, and aims to solve the technical problems that irrigation water resources are not optimized and irrigation is difficult to control to adapt to the growth water demand of crops in the prior art.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent irrigation system based on computational power network scheduling and 5G comprises a water supply irrigation facility; the water supply and irrigation facility is connected with a central control unit, and the central control unit is connected with a communication module; the communication module is connected with the data acquisition module and the computing power network resource scheduling platform; the computing network resource scheduling platform is provided with a plurality of cluster management platforms, and is used for calling cloud computing resources managed in the plurality of cluster management platforms to perform data computation and feeding back the data computation to the central control unit for starting corresponding water supply irrigation facilities; the multi-cluster management platform is used for cooperative management and resource scheduling of a plurality of edge computing clusters; the water supply and irrigation facility comprises a main water pipe; the main water pipe is connected with a branch water pipe, and the branch water pipe is arranged in a crop planting area for irrigation; the main water pipe is connected with the branch water pipe through an electromagnetic valve, and the branch water pipe is provided with a water pump; the data acquisition module comprises a plurality of acquisition nodes arranged in the crop planting area; each acquisition node is connected with a sensor.
Preferably, the following improvements are provided: the multi-cluster management platform is a two-stage linkage hierarchical cloud native container resource scheduling platform.
Preferably, the following improvements are provided: the multi-cluster management platform comprises a K8S cloud native architecture; the K8S cloud native architecture is connected with a K3S lightweight technical architecture based on the K8S cloud native architecture; the K3S lightweight technical framework is connected with the ARM terminal, the NPU terminal, the GPU terminal and the edge device through an internal network, and the K3S lightweight technical framework is connected with the SDN-based computing power carrying network through a gateway.
Preferably, the following improvements are provided: the collection nodes are one or more of wind power collection nodes, illumination collection nodes, temperature collection nodes and moisture collection nodes.
Preferably, the following improvements are provided: the wind power acquisition node is connected with a wind direction sensor and/or a wind speed sensor; the illumination acquisition node is connected with an illumination sensor; the temperature acquisition node is connected with a soil temperature sensor and/or an air temperature sensor; the moisture collection node is connected with one or more of a soil humidity sensor, an air humidity sensor and a rainfall sensor.
Preferably, the following improvements are provided: the branch water pipe is connected with a spray head, and the installation height of the spray head is greater than the highest growth height of crops; the shower nozzle is provided with a plurality ofly, and a plurality of shower nozzles evenly arrange in each region in crop planting district.
Preferably, the following improvements are provided: the communication module is set as a 5G communication module; the 5G communication module comprises a network node, a routing node and a coordinator which establishes connection with the network node and the routing node.
The invention has the beneficial effects that:
after the sensors in the data acquisition module acquire parameters such as wind power, illumination, temperature, moisture and the like in the crop planting area, the parameters are transmitted to the central control unit and the computational power network resource scheduling platform through the communication module. Because the number of the crop planting areas is large, the area is large, the crops in each crop planting area are possibly different, and the collection frequency is high due to the fact that the collection parameters are more in types; such a large amount of data requires a high processing capacity of the central control unit. In this case, the bandwidth of the communication module is required to be high, and communication using the 5G communication module is generally required. After the computing power network resource scheduling platform calls the cloud computing resources managed in the multi-cluster management platform to perform data computation, feeding data back to the central control unit, and judging whether the scheduling is needed for water supply irrigation or not by the central control unit according to preset conditions; if so, starting the corresponding water supply irrigation facility to irrigate the crops. The data acquisition is timely, so that the natural conditions and the irrigation conditions of the crop planting area can be dynamically monitored during irrigation, and the water supply irrigation facility stops after the moisture content in the soil reaches the standard. In the technical scheme, the data acquisition module acquires data timely, and the computing power network resource scheduling platform calls the cloud computing resources to perform data computation, so that the processing capacity of local equipment in the prior art can be greatly reduced, and the use cost of the equipment is reduced. The data acquisition module monitors timely, and the water supply irrigation facility is called under the instruction of the central control unit to carry out irrigation operation, so that the condition of flood irrigation is avoided, and water resources are saved. The data acquisition module dynamic detection crops each item parameter in the natural condition under different stages, manage and control the volume of water of calling and irrigating, improve the utilization ratio of water resource, the management of crops is more high-efficient.
Drawings
Fig. 1 is a schematic diagram of the technical architecture of the preferred embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. Wherein like elements in different embodiments are numbered with like associated elements. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances. In some instances, certain operations related to the present application have not been shown or described in detail in order to avoid obscuring the core of the present application from excessive description, and it is not necessary for those skilled in the art to describe these operations in detail, so that they may be fully understood from the description in the specification and the general knowledge in the art.
Furthermore, the features, operations, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. Also, the various steps or actions in the method descriptions may be transposed or transposed in order, as will be apparent to one of ordinary skill in the art. Thus, the various sequences in the specification and drawings are for the purpose of clearly describing certain embodiments only and are not intended to imply a required sequence unless otherwise indicated where a certain sequence must be followed.
The numbering of the components as such, e.g., "first", "second", etc., is used herein only to distinguish the objects as described, and does not have any sequential or technical meaning. The term "connected" and "coupled" when used in this application, unless otherwise indicated, includes both direct and indirect connections (couplings).
Examples
Referring to fig. 1, the invention provides an intelligent irrigation system based on computational power network scheduling and 5G, comprising a water supply irrigation facility; the water supply and irrigation facility is connected with a central control unit, and the central control unit is connected with a communication module; the communication module is connected with the data acquisition module and the computing power network resource scheduling platform; the computing network resource scheduling platform is provided with a plurality of cluster management platforms, and is used for calling cloud computing resources managed in the plurality of cluster management platforms to perform data computation and feeding back the data computation to the central control unit for starting corresponding water supply irrigation facilities; the multi-cluster management platform is used for the cooperative management and resource scheduling of a plurality of edge computing clusters; the feed-water irrigation facility comprises a main water pipe; the main water pipe is connected with a branch water pipe, and the branch water pipe is arranged in a crop planting area for irrigation; the main water pipe is connected with the branch water pipe through an electromagnetic valve, and the branch water pipe is provided with a water pump; the data acquisition module comprises a plurality of acquisition nodes arranged in the crop planting area; and each acquisition node is connected with a sensor.
The intelligent irrigation system based on computational power network dispatching and 5G can be further improved as follows:
the multi-cluster management platform is a two-stage linkage hierarchical cloud native container resource scheduling platform. Specifically, the multi-cluster management platform comprises a K8S cloud native architecture; the K8S cloud native architecture is connected with a K3S lightweight technical architecture based on the K8S cloud native architecture. The K8S + K3S two-stage linkage architecture realizes unified edge side resource scheduling management, namely the edge computing node side adopts the traditional K8S cloud native resource admission management, and is simultaneously responsible for unified multi-cluster scheduling management such as registration and management of a bottom embedded terminal cluster, and the front embedded terminal cluster adopts a lighter K3S cloud native platform to realize resource management. The K3S lightweight technical framework is connected with the ARM terminal, the NPU terminal, the GPU terminal and the edge device through an internal network, and the K3S lightweight technical framework is connected with the SDN-based computing power carrying network through a gateway. The resource scheduling and management platform is a container cloud mainly based on K8S to realize resource scheduling arrangement and unified management. The method can manage general computing resources such as general CPUs and the like, and simultaneously support the management of special computing resources such as GPUs, ARM and the like. In the foregoing, a K8S multi-cluster manner is adopted to implement cooperative management of multiple edge computing clusters. On the computational power network equipment side, scenes such as the existing industrial internet, smart cities and the like are combined, massive front-end embedded edge equipment is often involved, and the adopted computing architecture comprises ARM, DSP, FPGA, SOC and the like and is responsible for data acquisition of users, service access entrance and interaction of the user side and the like, so that the whole cloud, the edge, the smart city and the like are connected through the computational power network,
And the computing resources of the terminals are cooperated, and unified management is performed in a grading and multi-cluster mode.
The collection nodes are one or more of wind power collection nodes, illumination collection nodes, temperature collection nodes and moisture collection nodes. Further, the wind power collecting node is connected with a wind direction sensor and/or a wind speed sensor; the illumination collection node is connected with an illumination sensor; the temperature acquisition node is connected with a soil temperature sensor and/or an air temperature sensor; the moisture collection node is connected with one or more of a soil humidity sensor, an air humidity sensor and a rainfall sensor.
The branch water pipe is connected with a spray head, and the installation height of the spray head is greater than the highest growth height of crops; the shower nozzle is provided with a plurality ofly, and a plurality of shower nozzles evenly arrange in each region in crop planting district.
The communication module is set as a 5G communication module with higher bandwidth; the 5G communication module comprises a network node, a routing node and a coordinator which establishes connection with the network node and the routing node.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Those skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which may be made by those skilled in the art without departing from the spirit and scope of the present invention as defined in the appended claims.
Claims (7)
1. An intelligent irrigation system based on computational power network dispatching and 5G is characterized by comprising a water supply irrigation facility; the water supply irrigation facility is connected with a central control unit, and the central control unit is connected with a communication module; the communication module is connected with the data acquisition module and the computing power network resource scheduling platform; the computing network resource scheduling platform is provided with a plurality of cluster management platforms, and is used for calling cloud computing resources managed in the plurality of cluster management platforms to perform data computation and feeding back the data computation to the central control unit for starting corresponding water supply irrigation facilities; the multi-cluster management platform is used for cooperative management and resource scheduling of a plurality of edge computing clusters; the feed-water irrigation facility comprises a main water pipe; the main water pipe is connected with a branch water pipe, and the branch water pipe is arranged in a crop planting area for irrigation; the main water pipe is connected with the branch water pipe through an electromagnetic valve, and the branch water pipe is provided with a water pump; the data acquisition module comprises a plurality of acquisition nodes arranged in the crop planting area; each acquisition node is connected with a sensor.
2. The intelligent irrigation system based on computational power network scheduling and 5G as claimed in claim 1, wherein the multi-cluster management platform is a two-stage linkage hierarchical cloud native container resource scheduling platform.
3. The intelligent irrigation system based on computational network scheduling and 5G according to claim 2 wherein the multi-cluster management platform comprises a K8S cloud native architecture; the K8S cloud native architecture is connected with a K3S lightweight technical architecture based on the K8S cloud native architecture; the K3S lightweight technical framework is connected with the ARM terminal, the NPU terminal, the GPU terminal and the edge device through an internal network, and the K3S lightweight technical framework is connected with the SDN-based computing power carrying network through a gateway.
4. The intelligent irrigation system based on computational power network dispatching and 5G as claimed in claim 1, wherein the collection nodes are one or more of wind collection nodes, light collection nodes, temperature collection nodes and moisture collection nodes.
5. The intelligent irrigation system based on computational power network dispatching and 5G is characterized in that the wind power collection node is connected with a wind direction sensor and/or a wind speed sensor; the illumination collection node is connected with an illumination sensor; the temperature acquisition node is connected with a soil temperature sensor and/or an air temperature sensor; the moisture collection node is connected with one or more of a soil humidity sensor, an air humidity sensor and a rainfall sensor.
6. The intelligent irrigation system based on computational power network dispatching and 5G as claimed in claim 1, wherein spray heads are connected to the branch pipes, and the installation height of the spray heads is greater than the highest growth height of crops; the shower nozzle is provided with a plurality ofly, and a plurality of shower nozzles evenly arrange in each region in crop planting district.
7. The intelligent irrigation system based on computational power network dispatching and 5G as claimed in claim 1, wherein the communication module is set as a 5G communication module; the 5G communication module comprises a network node, a routing node and a coordinator which establishes connection with the network node and the routing node.
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| CN113503911A (en) * | 2021-05-31 | 2021-10-15 | 贵州艾特信安科技有限公司 | Crop growth environment monitoring system based on big data |
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- 2022-08-31 CN CN202211063298.1A patent/CN115299326A/en active Pending
Patent Citations (3)
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| CN104852896A (en) * | 2015-02-03 | 2015-08-19 | 四川通信科研规划设计有限责任公司 | Wi-Fi wireless node network access method and system |
| CN106411772A (en) * | 2016-09-29 | 2017-02-15 | 四川通信科研规划设计有限责任公司 | Network traffic load balancing method based on software defined network (SDN) |
| CN113503911A (en) * | 2021-05-31 | 2021-10-15 | 贵州艾特信安科技有限公司 | Crop growth environment monitoring system based on big data |
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Application publication date: 20221108 |