CN111670733B - Balcony plant planting system - Google Patents

Balcony plant planting system Download PDF

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Publication number
CN111670733B
CN111670733B CN202010494546.2A CN202010494546A CN111670733B CN 111670733 B CN111670733 B CN 111670733B CN 202010494546 A CN202010494546 A CN 202010494546A CN 111670733 B CN111670733 B CN 111670733B
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data
planting
service center
edge computing
environment
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CN111670733A (en
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傅骞
张传举
王真礼
杜继兵
孙建立
傅磊
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Weifang Nutshell Vision Information Technology Co Ltd
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Weifang Nutshell Vision Information Technology Co ltd
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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
    • A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
    • A01G9/14—Greenhouses
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01C—PLANTING; SOWING; FERTILISING
    • A01C23/00—Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks or sprinkling wagons
    • A01C23/04—Distributing under pressure; Distributing mud; Adaptation of watering systems for fertilising-liquids
    • A01C23/047—Spraying of liquid fertilisers
    • 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
    • A01G27/00—Self-acting watering devices, e.g. for flower-pots
    • 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
    • A01G27/00—Self-acting watering devices, e.g. for flower-pots
    • A01G27/003—Controls for self-acting watering devices
    • 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
    • A01G31/00—Soilless cultivation, e.g. hydroponics
    • A01G31/02—Special apparatus therefor
    • 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
    • A01G7/00—Botany in general
    • A01G7/04—Electric or magnetic or acoustic treatment of plants for promoting growth
    • A01G7/045—Electric or magnetic or acoustic treatment of plants for promoting growth with electric lighting
    • 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
    • A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
    • A01G9/02—Receptacles, e.g. flower-pots or boxes; Glasses for cultivating flowers
    • 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
    • A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
    • A01G9/24—Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
    • A01G9/247—Watering arrangements
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M7/00—Special adaptations or arrangements of liquid-spraying apparatus for purposes covered by this subclass
    • A01M7/0025—Mechanical sprayers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/80—Homes; Buildings
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • G—PHYSICS
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    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/20—Analytics; Diagnosis
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    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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    • H04W4/30—Services specially adapted for particular environments, situations or purposes
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    • Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
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    • Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
    • Y02P60/20—Reduction of greenhouse gas [GHG] emissions in agriculture, e.g. CO2
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Abstract

The application relates to a balcony plant planting system, which comprises a planting facility, an acquisition system, an adjusting system, an edge computing node and a network side service system; the acquisition system, the regulation system and the edge computing node are arranged on the planting facility, and the edge computing node performs data interaction with the acquisition system, the regulation system and the network side service system through a network. This application realizes based on marginal calculation technique to and network side service system carries out automatic operation, makes control strategy, sends corresponding instruction, realizes the automatic control to planter vegetation environment, and then improves plant survival rate, output rate.

Description

Balcony plant planting system
Technical Field
The application relates to an intelligence field of planting especially relates to a balcony plant system of planting.
Background
With the advance of urbanization process, the boundaries of cities are increasingly extended to wider areas, so that the development of urban agriculture is significant. Therefore, a large number of planning practices such as efficient utilization of urban space are promoted.
For example, many users begin to grow vegetables using their own balconies to improve self-feeding capability. However, on one hand, due to the fact that citizens lack corresponding planting information such as planting technologies and planting time, on the other hand, planting facilities are simple and similar to flowerpot planting, and the capacity of regulating and controlling the growth environment of plants is lacked, the survival rate of crops is low, and the yield is low. Based on this, in less spaces such as the balcony in the building, how to improve plant survival rate, output capacity, do not give effective solution in prior art.
Disclosure of Invention
To solve the above technical problem or at least partially solve the above technical problem, the present application provides a balcony plant growing system.
The application provides a balcony plant planting system, which comprises a planting facility, an acquisition system, an adjusting system, an edge computing node and a network side service system; the acquisition system, the regulation system and the edge computing node are arranged on the planting facility, and the edge computing node respectively performs data interaction with the acquisition system, the regulation system and the network side service system through a network;
the planting facility is used for planting plants; the acquisition system is used for acquiring first environment data and/or first state data of plant growth planted in the planting facility and transmitting the first environment data and/or the first state data to the edge computing node; the edge computing node is used for forwarding the first environment data and/or the first state data to the network side service system, receiving a plant growth model from the network side service system, executing the plant growth model, and controlling a corresponding regulating system to regulate environment parameters in the planting facility according to the plant growth model; the network side service system is used for generating the plant growth environment model according to the first environment data and/or the first state data received from the edge computing node and sending the plant growth environment model to the edge computing node.
Optionally, the network-side service system includes a cloud data service center and a model generation system; the cloud data service center is used for receiving and storing the first environment data and/or the first state data from the edge computing nodes, and the model generation system is used for determining an ideal value of an environment parameter of a corresponding plant according to the first environment data and/or the first state data stored by the cloud data service center and the type of the plant planted in the planting facility; and generating a plant growth environment model consisting of the ideal value of the environmental parameter, a corresponding regulating system and the execution time of the regulating system according to the first environmental data and/or the first state data and the ideal value of the environmental parameter.
Optionally, the environmental data includes air temperature and humidity parameter data, soil temperature and humidity parameter data, and soil EC parameter data; the ideal values of the environmental parameters comprise ideal values of air temperature and humidity, ideal values of soil temperature and humidity and ideal values of soil EC;
and the edge computing node is specifically used for controlling a regulating system in the plant growth model in the process of executing the plant growth model, and regulating corresponding environmental parameters in the planting facility according to the execution time.
Optionally, the edge computing node is further configured to obtain, from the acquisition system, second environmental data and/or second state data of the growth of the plant planted in the planting facility in the process of adjusting the corresponding environmental parameter in the planting facility according to the execution time; and stopping executing the plant growing environment model when the second environment data and/or the second state data reach the ideal value of the environment parameter in the plant growing environment model.
Optionally, the acquisition system includes a sensor system and an image pickup apparatus; the sensor system comprises one or more of an air temperature and humidity sensor, a soil temperature and humidity sensor and a soil EC value sensor; the adjusting system comprises one or more of a fan, a spraying device and a light supplementing lamp.
Optionally, the planting facility is divided into at least 2 layers, wherein one layer is provided with a planting area, the other layer is provided with a device area, and a leaf surface growth area is arranged between the device area and the planting area.
Optionally, the balcony plant growing system further comprises a user client and an expert client; the user client is used for sending a regulating instruction to the regulating system through the cloud data service center, and the regulating instruction is used for controlling the regulating system to regulate the environmental parameters of the plants in the planting facility; the expert client is used for acquiring the environment data from the cloud data service center and sending planting guidance data to the user client through the cloud data service center.
Optionally, the network side service system further includes an expert system; the cloud data service center is also used for storing planting guide information; the user client is further used for sending a planting guidance information acquisition instruction to the cloud data service center and acquiring planting guidance information corresponding to the acquisition instruction from the cloud data service center; the cloud data service center is further used for forwarding the acquisition instruction to the expert system when receiving the acquisition instruction; the expert system is used for searching the planting guidance information corresponding to the acquisition instruction from the cloud data service center according to the acquisition instruction, and when the planting guidance information corresponding to the acquisition instruction is searched, the cloud data service center is instructed to send the planting guidance information corresponding to the acquisition instruction to the user client.
Optionally, the network side service system further includes a community service system; the community service system is used for sending community communication activity information to the user client through the cloud data service center.
Optionally, the balcony plant growing system further comprises a block chain system; the block chain system is used for storing interactive data among the network side service system, the cloud data service center, the user client and the expert client based on an intelligent contract technology.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the system provided by the embodiment of the application, the first environment data and/or the first state data of the plant growth planted in the planting facility are collected through the collection system, the first environment data and/or the first state data are forwarded to the network side service system through the edge computing node, the plant growth model is received from the network side service system, the plant growth model is executed, and the corresponding regulating system is controlled to regulate the environment parameters in the planting facility according to the plant growth model; the network side service system is used for generating the plant growth environment model according to the first environment data and/or the first state data and sending the plant growth environment model to the edge computing node, so that the automatic operation is carried out on the network side service system based on the edge computing technology, a control strategy is made, a corresponding instruction is sent, the automatic control of the plant growth environment of the planter is realized, and the survival rate and the yield rate of the plant are improved.
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 view of a balcony plant growing system according to various embodiments of the present application;
fig. 2 is a schematic perspective view of a planting facility according to various embodiments of the present disclosure;
fig. 3 is a schematic plan view of a planting facility according to various embodiments of the present disclosure.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The user client, expert client, may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
As shown in fig. 1 to 3, an embodiment of the present invention provides a balcony plant growing system, which mainly includes a deployment front end, a cloud service matrix, and a client. The deployment front end comprises an acquisition system, an adjusting system, an edge computing node and the like, wherein the acquisition system can be divided into a sensor acquisition device (namely a sensor) and a video device, and the adjusting system can be a control/execution device. The cloud service matrix is mainly composed of network side service systems, and comprises a cloud data service center, a block chain system, a model generation system (namely AI agricultural brain), an expert system, a community service system and the like. Clients can be divided into user clients and expert clients. As an example, the balcony plant growing system comprises a growing facility, a collecting system, a regulating system, an edge computing node and a network side service system; the acquisition system, the regulation system and the edge computing node are arranged on the planting facility, and the edge computing node respectively performs data interaction with the acquisition system, the regulation system and the network side service system through a network;
the planting facility is used for planting plants; the acquisition system is used for acquiring first environment data and/or first state data of plant growth planted in the planting facility and transmitting the first environment data and/or the first state data to the edge computing node; the edge computing node is used for forwarding the first environment data and/or the first state data to the network side service system, receiving a plant growth model from the network side service system, executing the plant growth model, and controlling a corresponding regulating system to regulate environment parameters in the planting facility according to the plant growth model; the network side service system is used for generating the plant growth environment model according to the first environment data and/or the first state data received from the edge computing node and sending the plant growth environment model to the edge computing node.
In this example, a collection system collects first environmental data and/or first state data of plant growth planted in the planting facility, the first environmental data and/or the first state data are forwarded to the network side service system through an edge computing node, a plant growth model is received from the network side service system, the plant growth model is executed, and a corresponding regulating system is controlled to regulate environmental parameters in the planting facility according to the plant growth model; the network side service system is used for generating the plant growth environment model according to the first environment data and/or the first state data and sending the plant growth environment model to the edge computing node, so that the automatic operation is carried out on the network side service system based on the edge computing technology, a control strategy is made, a corresponding instruction is sent, the automatic control of the plant growth environment of the planter is realized, and the survival rate and the yield rate of the plant are improved.
In some examples, the network-side service system may include a cloud data service center and a model generation system; the cloud data service center is used for receiving and storing the first environment data and/or the first state data from the edge computing nodes, and the model generation system is used for determining an ideal value of an environment parameter of a corresponding plant according to the first environment data and/or the first state data stored by the cloud data service center and the type of the plant planted in the planting facility; and generating a plant growth environment model consisting of the ideal value of the environmental parameter, a corresponding regulating system and the execution time of the regulating system according to the first environmental data and/or the first state data and the ideal value of the environmental parameter. The first state data can be video data of plant growth, the growth state of the plant can be seen, for example, leaves are yellow, sunlight is lacked, and plant growth environment parameters formed by the ideal value of illumination intensity, the light supplement device and the starting execution time of the light supplement device can be generated at the moment. And for another example, the soil is dry and not beneficial to growth, and at the moment, plant growth environment parameters consisting of ideal temperature and humidity values, spraying equipment and execution time of the spraying equipment can be generated. The plant type may be obtained by a user client, for example, a user uploads the plant type in the user client.
The ideal value of the environmental parameter is a preset value and can be set according to experience and some common sense. In this example, there may be multiple regulating systems, each regulating system adjusting one environmental parameter accordingly. Optionally, the environment data includes air temperature and humidity parameter data, soil temperature and humidity parameter data, and soil EC parameter data; the ideal values of the environmental parameters comprise an ideal value of air temperature and humidity, an ideal value of soil temperature and humidity and an ideal value of soil EC.
In detail, the edge computing node is specifically configured to control a regulation system in the plant growth model in a process of executing the plant growth model, and adjust the corresponding environmental parameters in the planting facility according to the execution time.
Of course, in some examples, optionally, the edge computing node is further configured to obtain, from the collection system, second environmental data and/or second state data of the plant growth planted in the planting facility in the process of adjusting the corresponding environmental parameter in the planting facility according to the execution time; and stopping executing the plant growing environment model when the second environment data and/or the second state data reach the ideal value of the environment parameter in the plant growing environment model. Therefore, the growth environment of the plants can be prevented from being excessively adjusted, and the survival rate and the yield of the plants are further improved.
Optionally, the acquisition system includes a sensor system and an image pickup apparatus; the sensor system comprises one or more of an air temperature and humidity sensor, a soil temperature and humidity sensor and a soil EC value sensor; the adjusting system comprises one or more of a fan, a spraying device and a light supplementing lamp. The humiture of soil can be adjusted to spraying equipment, and spraying equipment can spray medicine, nutrient solution etc. for the plant to change soil EC value. The planting facility is divided into at least 2 layers, wherein one layer is provided with a planting area, the other layer is provided with a device area, and a leaf surface growth area is arranged between the device area and the planting area. That is, the planting facility comprises a planting area, a leaf surface growing area and a facility area. Wherein, the planting area can adopt substrate cultivation, water culture and traditional soil planting; the leaf surface growing area can be open air or covered with a film; the equipment area is used for installing edge computing nodes, video equipment, intelligent sensors and control/execution mechanisms. The sensors may include air temperature and humidity sensors, soil EC value sensors, and the like. The air temperature and humidity sensor, the air temperature and humidity sensor and the air temperature and humidity sensor are installed on a support of the equipment area, and the soil temperature and humidity sensor and the soil EC value sensor are installed in the planting area. The control/execution mechanism can comprise a fan, a spraying device, a light supplementing lamp and the like and is arranged on a support of the equipment area. The edge computing node is installed on a support of the equipment area and is respectively connected with the video equipment, the sensor and the control/execution mechanism to form an edge computing network (MEC).
In some examples, the balcony plant growing system further comprises a user client and an expert client; the user client is used for sending a regulating instruction to the regulating system through the cloud data service center, and the regulating instruction is used for controlling the regulating system to regulate the environmental parameters of the plants in the planting facility; the expert client is used for acquiring the environment data from the cloud data service center and sending planting guidance data to the user client through the cloud data service center. Wherein the instructional data may be textual data or video data.
Of course, the network side service system further includes an expert system; the cloud data service center is also used for storing planting guide information; the user client is further used for sending a planting guidance information acquisition instruction to the cloud data service center and acquiring planting guidance information corresponding to the acquisition instruction from the cloud data service center; the cloud data service center is further used for forwarding the acquisition instruction to the expert system when receiving the acquisition instruction; the expert system is used for searching the planting guidance information corresponding to the acquisition instruction from the cloud data service center according to the acquisition instruction, and when the planting guidance information corresponding to the acquisition instruction is searched, the cloud data service center is instructed to send the planting guidance information corresponding to the acquisition instruction to the user client.
Optionally, the network side service system further includes a community service system; the community service system is used for sending community communication activity information to the user client through the cloud data service center.
In some examples, the balcony plant growing system further comprises a blockchain system; the block chain system is used for storing interactive data among the network side service system, the cloud data service center, the user client and the expert client based on an intelligent contract technology.
It should be noted that the above examples can be arbitrarily combined to form a new example without contradiction. That is to say, the present application provides an intelligent balcony plant growing system based on edge computing technology, including cloud data service center, AI agriculture brain, expert system, community service system, block chain system, edge computing node, sensor, video equipment, control/execution equipment, user client (user APP) and expert client.
The sensor is embedded intelligent hardware with a built-in real-time operating system, can finish the acquisition and processing of front-end sensor data, and can perform data interaction with the edge computing node through a communication protocol. The sensor is mainly used for sensing basic information of a plant growth environment in real time, such as air temperature and humidity, soil temperature and humidity, illuminance, carbon dioxide concentration, soil EC value and the like, and transmitting the basic information to the edge computing node through the local area network;
the video equipment such as a camera is used for acquiring a real-time video of plant growth and transmitting the real-time video to the edge computing node through the local area network;
the edge computing node is a front brain of the balcony planter, has a real-time operating system and strong computing capacity, and performs data interaction with the cloud data service center through the Internet. The edge computing node has the main functions of: 1. other intelligent hardware on the planter (e.g., sensors, video devices, control/execution devices, etc., IP-based computing units) is managed through the local area network. (1) The state of each device can be monitored in real time; (2) receiving data transmitted by each device; (3) issuing instructions to each execution mechanism; (4) various data are subjected to arithmetic processing. 2. The cloud data service center can be automatically connected through the Internet. (1) Uploading necessary data to the platform; (2) and downloading the environment control data model and operating to realize independent operation in the state without the Internet.
The cloud data service center receives various sensor data and video data transmitted by the edge computing nodes and transmits the sensor data and the video data to the AI agricultural brain, the expert system, the community service system, the block chain system, the user client and the expert client.
The AI agricultural brain carries out automatic operation according to the received sensor data and video data transmitted by the cloud data service center, makes a corresponding control strategy and sends a corresponding instruction to the control/execution equipment through the cloud data service center. The flow of the operation process and the control strategy is as follows: determining a crop growth environment model, namely ideal values of all environment parameters, according to different crops; downloading the model to an edge computing node, and adjusting the physical environment by closed-loop control to tend to an environmental model; and according to the time slot setting, the cloud data service center acquires real-time sampling data from the edge sub-computing nodes, analyzes and stores the real-time sampling data, and performs data interaction with the edge computing nodes according to the analysis result.
After receiving the corresponding instruction, the control/execution equipment controls the corresponding downlink execution mechanism, such as a fan, a spraying device, a light supplement lamp and the like, and adjusts the environmental parameters of the plants to enable the plants to grow in the most suitable environment;
the expert system receives sensor data and video data transmitted by the cloud service data center;
the expert client acquires real-time data and video data of various sensors in the plant growth process according to the cloud data service center, and provides guidance for planting of a user;
the user client acquires real-time data and video data of various sensors in the plant growth process through the cloud data service center, and controls the operation of the downlink execution mechanism;
the user client performs social activities such as purchasing agricultural materials, exchanging planting experiences and the like through the community service system;
the block chain system receives sensor data and video data transmitted by the cloud data service center, and permanently stores the sensor data and the video data based on an intelligent contract technology, so that misoperation in the middle is guaranteed, and the condition that the data can be checked is proved.
Based on the above, in each example of the application, based on the edge computing technology, the AI agricultural brain performs automatic operation, makes a control strategy, and sends out a corresponding instruction to realize automatic control of the plant growth environment of the planter; the agricultural experts can remotely obtain the small environmental data of the planter and can perform manual intervention such as light supplement and spraying on the planter; and permanently storing the data of the whole growth process of the plant based on a block chain technology.
It should be noted that, in this document, 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 like elements in a process, method, article, or apparatus that comprises the element.
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.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (8)

1. A balcony plant planting system is characterized by comprising a planting facility, an acquisition system, a regulation system, an edge calculation node, a network side service system, a block chain system, a user client and an expert client; the acquisition system, the regulation system and the edge computing node are arranged on the planting facility, and the edge computing node respectively performs data interaction with the acquisition system, the regulation system and the network side service system through a network;
the planting facility is used for planting plants; the acquisition system is used for acquiring first environment data and/or first state data of plant growth planted in the planting facility and transmitting the first environment data and/or the first state data to the edge computing node; the edge computing node is used for forwarding the first environment data and/or the first state data to the network side service system, receiving a plant growth model from the network side service system, executing the plant growth model, and controlling a corresponding regulating system to regulate environment parameters in the planting facility according to the plant growth model; the network side service system is used for generating the plant growth model according to the first environment data and/or the first state data received from the edge computing node and sending the plant growth model to the edge computing node;
the network side service system comprises a cloud data service center and a model generation system; the cloud data service center is used for receiving and storing the first environment data and/or the first state data from the edge computing nodes, and the model generation system is used for determining ideal values of environment parameters of corresponding plants according to the first environment data and/or the first state data stored by the cloud data service center and the types of the plants planted in the planting facilities; generating a plant growth environment model consisting of the ideal value of the environmental parameter, a corresponding adjusting system and the execution time of the adjusting system according to the first environmental data and/or the first state data and the ideal value of the environmental parameter;
the block chain system is used for storing interactive data among the network side service system, the cloud data service center, the user client and the expert client based on an intelligent contract technology.
2. The balcony plant growing system according to claim 1, wherein the environmental data includes air temperature and humidity parameter data, soil temperature and humidity parameter data, and soil EC parameter data; the ideal values of the environmental parameters comprise an ideal value of air temperature and humidity, an ideal value of soil temperature and humidity and an ideal value of soil EC;
and the edge computing node is specifically used for controlling a regulating system in the plant growth model in the process of executing the plant growth model, and regulating corresponding environmental parameters in the planting facility according to the execution time.
3. The balcony plant growing system according to claim 2, wherein the edge computing node is further adapted to obtain second environmental data and/or second status data of the growth of plants grown in the planting facility from the collecting system in the process of adjusting corresponding environmental parameters in the planting facility according to the execution time; and stopping executing the plant growth model when the second environment data and/or the second state data reach the ideal value of the environment parameter in the plant growth model.
4. The balcony plant growing system according to claim 1, wherein the collecting system comprises a sensor system and a camera device; the sensor system comprises one or more of an air temperature and humidity sensor, a soil temperature and humidity sensor and a soil EC value sensor; the adjusting system comprises one or more of a fan, a spraying device and a light supplementing lamp.
5. The balcony plant growing system according to claim 4, wherein the growing facility is divided into at least 2 levels, one level being provided with a growing area and the other level being provided with a facility area, and a foliage growing area is provided between the facility area and the growing area.
6. The balcony plant growing system according to claim 1, further comprising a user client and an expert client; the user client is used for sending a regulating instruction to the regulating system through the cloud data service center, and the regulating instruction is used for controlling the regulating system to regulate the environmental parameters of the plants in the planting facility; the expert client is used for acquiring the environment data from the cloud data service center and sending planting guidance data to the user client through the cloud data service center.
7. The balcony plant growing system of claim 6, wherein the network-side service system further comprises an expert system; the cloud data service center is also used for storing planting guide information; the user client is further used for sending a planting guidance information acquisition instruction to the cloud data service center and acquiring planting guidance information corresponding to the acquisition instruction from the cloud data service center; the cloud data service center is further used for forwarding the acquisition instruction to the expert system when receiving the acquisition instruction; the expert system is used for searching the planting guidance information corresponding to the acquisition instruction from the cloud data service center according to the acquisition instruction, and when the planting guidance information corresponding to the acquisition instruction is searched, the cloud data service center is instructed to send the planting guidance information corresponding to the acquisition instruction to the user client.
8. The balcony plant growing system of claim 1, wherein the network-side service system further comprises a community service system; the community service system is used for sending community communication activity information to the user client through the cloud data service center.
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