WO2015135333A1 - Système de gestion agricole intelligent et procédé de gestion - Google Patents

Système de gestion agricole intelligent et procédé de gestion Download PDF

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Publication number
WO2015135333A1
WO2015135333A1 PCT/CN2014/090591 CN2014090591W WO2015135333A1 WO 2015135333 A1 WO2015135333 A1 WO 2015135333A1 CN 2014090591 W CN2014090591 W CN 2014090591W WO 2015135333 A1 WO2015135333 A1 WO 2015135333A1
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WIPO (PCT)
Prior art keywords
terminal device
data
intelligent
management
gateway
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PCT/CN2014/090591
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English (en)
Chinese (zh)
Inventor
刘业涛
梁林华
张伟波
彭启明
刘立明
Original Assignee
深圳市大雅新科技有限公司
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Publication of WO2015135333A1 publication Critical patent/WO2015135333A1/fr

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication
    • G05B19/4186—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
    • 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
    • A01G22/00—Cultivation of specific crops or plants not otherwise provided for

Definitions

  • the invention relates to the field of agricultural management, in particular to an intelligent agricultural management system and a management method.
  • the technical problem to be solved by the present invention is to provide a real-time understanding of the agricultural site environment and efficiency in view of the above-mentioned shortcomings of the prior art that the agricultural site environment cannot be understood in real time, the efficiency is low, the cost is high, and the precise management cannot be realized. Intelligent agricultural management system and management method with high cost, low cost and precise management.
  • the technical solution adopted by the present invention to solve the technical problem is: constructing an intelligent agricultural management system, including a smart greenhouse system, a central gateway, a router, a server, a management platform and a terminal device; the intelligent greenhouse system collects plant growth environment parameters in real time; And storing and analyzing the processed data separately, and transmitting the processed data to the central gateway, wherein the central gateway sequentially transmits the received data to the management platform after passing through the router and the server, where The management platform sends the generated control command to the terminal device, and after receiving the control command, the terminal device controls the parameter of the corresponding device to be consistent with the preset parameter.
  • the smart greenhouse system includes one or more smart greenhouse subsystems, each of the smart greenhouse subsystems including a connection with the central gateway for collecting plant growth A node gateway that stores and analyzes environmental parameters.
  • each of the greenhouse systems further includes a data collector, a camera, a shower nozzle, a roller blind, a fan, a heater, and a feeder respectively connected to the node gateway.
  • the data collector includes an air temperature and humidity detector for collecting air temperature and humidity in real time, a soil temperature and humidity detector for collecting soil temperature and humidity in real time, and is used for real-time collection.
  • Soil pH sensor for soil pH
  • plant sunlight metering detector for real-time collection of plant sunlight
  • environmental CO2 detector for real-time collection of environmental CO2 content.
  • the terminal device comprises a PC, a tablet, a mobile phone or other terminal device.
  • the invention also relates to an intelligent agricultural management method comprising the following steps:
  • the node gateway analyzes and processes the received parameter data, and sends the analyzed data to the central gateway;
  • the management platform sends a control instruction to the terminal device according to the processed data
  • step C) the terminal device controls the corresponding device after receiving the control command, and returns to step A).
  • the step C) further includes:
  • step C2) judging whether the serial port has parameter data, if yes, saving the parameter data to the serial port parsing buffer, and performing step C3); otherwise, returning to step C1);
  • step C3) determining whether the valid data length in the serial port parsing buffer is the minimum frame length, and if so, executing step C4); otherwise, returning to step C1);
  • step C4) determining whether the content of the frame header is legal, if yes, performing step C6); otherwise, performing step C5);
  • step C6) determining whether the protocol type is valid, if yes, performing step C7); otherwise, returning to step C5);
  • step C7) determining whether the effective length of the load data is within the set range, and if so, executing step C8); otherwise, returning to C5);
  • step C8) judging whether the frame check is correct, if yes, extracting the frame data with the correct frame check from the serial port parsing buffer, and saving the same to the central gateway; otherwise, returning to step C5).
  • the plant growth environment parameters include air temperature and humidity, soil temperature and humidity, soil pH, plant sunlight, and environmental CO2 content.
  • the corresponding device in the step E) comprises a shower head and/or a roller blind and/or a fan and/or a heater and/or a feeder.
  • the terminal device comprises a PC, a tablet, a mobile phone or other terminal device.
  • the intelligent agricultural management system and management method embodying the invention have the following beneficial effects: the use of the intelligent greenhouse system, the central gateway, the router, the server, the management platform and the terminal equipment; the intelligent greenhouse system collects the plant growth environment parameters in real time and separately performs the same
  • the storage, analysis and processing, and the processed data is transmitted to the central gateway, and the central gateway transmits the received data to the management platform through the router and the server, and the control platform sends the generated control command to the terminal device, and the terminal device receives the data.
  • the parameters of the corresponding device are controlled to be consistent with the preset parameters, so that no manual measurement is required, no time-consuming and labor-intensive, and it is completely realized by automation, so that the agricultural scene environment can be understood in real time, and the efficiency is high. Lower cost and precise management.
  • FIG. 1 is a schematic structural diagram of an intelligent agricultural management system in an embodiment of an intelligent agricultural management system and management method according to the present invention
  • FIG. 2 is a schematic structural view of a smart greenhouse system in the embodiment
  • FIG. 3 is a flow chart of a method for intelligent agriculture management in the embodiment
  • FIG. 4 is a specific flowchart of analyzing and processing the received parameter data by the node gateway in the embodiment.
  • FIG. 1 a schematic structural diagram of the intelligent agricultural management system is shown in FIG. 1 .
  • the intelligent agricultural management system comprises a smart greenhouse system 1, a central gateway 2, a router 3, a server 4, a management platform 5 and a terminal device 6; wherein the intelligent greenhouse system 1 collects plant growth environment parameters in real time and performs them separately.
  • the storage, analysis and processing, and the processed data is transmitted to the central gateway 2.
  • the central gateway 2 sequentially transmits the received data to the management platform 5 through the router 3 and the server 4, and the user controls the corresponding by issuing an instruction through the management platform.
  • the device specifically, the management platform 5 sends the generated control command to the terminal device 6, and the terminal device 6 controls the corresponding device after receiving the control command (for example, a shower nozzle, a roller blind, a fan, a heater, a feeder, etc., a follow-up meeting
  • the control command for example, a shower nozzle, a roller blind, a fan, a heater, a feeder, etc., a follow-up meeting
  • the parameters described are such that the parameters of the corresponding device are consistent with the parameters set in advance. This eliminates the need for manual measurement, no time-consuming and labor-intensive, and is completely automated. Therefore, the agricultural site environment can be understood in real time, with high efficiency, low cost, and precise management.
  • the intelligent greenhouse system 1 includes a plurality of intelligent greenhouse subsystems, and N intelligent greenhouse subsystems are drawn in FIG. 1.
  • the N intelligent greenhouse subsystems are respectively referred to as It is the first intelligent greenhouse subsystem 11, the second intelligent greenhouse subsystem 12, ..., the Nth intelligent greenhouse subsystem 1N.
  • the terminal device 6 can be a PC, a tablet, a mobile phone or other terminal device.
  • Router 3 can be a wired router or a wireless router.
  • the above management platform 5 is an intelligent agricultural solution based on the fusion sensor network, the Internet of Things, and the Internet environment, and can realize wireless access of sensors (Zigbee); realize seamless integration with various functions such as global eyes and short messages; Video display, sensor data visualization and remote control; 3G-based mobile client application; centralized management control, including user management, device management, authentication management and rights management.
  • the management platform 5 has the following characteristics: First, the data frame format of various sensors and controllers is standardized for the first time, and technical specifications are formulated to facilitate selection and competition of multi-sensor network manufacturers during scale deployment, and reduce equipment procurement.
  • Cost Secondly, not only for the application of intelligent greenhouse system, but also for the application of multiple applications throughout the agricultural sector, it can form a common service platform for the agricultural industry, and use SaaS (Software-as-a-service).
  • SaaS Software-as-a-service
  • the model creates a service concept of large agriculture and large platforms.
  • each smart greenhouse subsystem includes a node gateway 102, and the node gateway 102 is connected to the central gateway 2 for storing the collected plant growth environment parameters. Analytical processing.
  • the smart greenhouse system 1 may further include a smart greenhouse system according to specific needs.
  • Each greenhouse subsystem further includes a data collector 101, a camera 103, a shower head 104, a roller blind 105, a fan 106, a heater 107, and a feeder 108, a data collector 101, a camera 103, a shower head 104, a roller blind 105, The fan 106, the heater 107, and the feeder 108 are connected to the node gateway 102, respectively.
  • the camera 103 is used to view the plant growth situation in real time through video.
  • each greenhouse subsystem may include one of the data collector 101, the camera 103, the shower head 104, the roller blind 105, the fan 106, the heater 107, and the feeder 108.
  • the data collector 101 includes an air temperature and humidity detector, a temperature and humidity detector, a soil pH detector, a plant sunlight rate detector, and an environmental CO2 content detector (not shown); wherein, the air temperature
  • the humidity detector is used to collect the air temperature and humidity in real time.
  • the soil temperature and humidity detector is used to collect the soil temperature and humidity in real time.
  • the soil pH detector is used to collect the soil pH in real time.
  • the plant sunlight light rate detector is used to collect the sunlight light rate of the plant in real time and detect the environmental CO2 content.
  • the device is used to collect the environmental CO2 content in real time.
  • the planting process can be fully controlled and controlled, and accurate management can be achieved, which can effectively increase the growth rate of 5-10%, thereby increasing the output rate of agricultural products.
  • it can also centrally manage the production sites scattered throughout the country.
  • the level of industrialization has been replicated and enhanced on a larger scale, which has effectively promoted the implementation of the national modernization strategy of large agriculture and small urbanization.
  • This embodiment also relates to an intelligent agricultural management method, and the flowchart thereof is as shown in FIG. 3.
  • the intelligent agriculture management method includes the following steps:
  • Step S01 collects plant growth environment parameters, and determines whether the plant growth environment parameters are consistent with the preset parameters: in this step, each intelligent greenhouse subsystem collects plant growth environment parameters in real time, and determines plant growth environment parameters and presets. Whether the parameters are consistent, if the result of the determination is yes, then step S02 is performed; otherwise, step S03 is performed.
  • the above plant growth environment parameters include air temperature and humidity, soil temperature and humidity, soil pH, plant sunlight, and environmental CO2 content.
  • Step S02 The node gateway shuts down the device and exits the detection: if the result of the above step S01 is YES, that is, the collected plant growth environment parameters are consistent with the preset parameters, this step is performed. In this step, the node gateway shuts down the device and exits this test.
  • Step S03 The plant growth environment parameter is transmitted to the node gateway, and the node gateway saves the received parameter locally, and saves the synchronization parameter to the cloud after the set time: if the result of the above step S01 is no, the step is executed. .
  • the plant growth environment parameter is transmitted to the node gateway, and the node gateway temporarily stores the received plant growth environment parameter locally, and the plant growth environment parameter (plant growth environment parameter data) is synchronously saved after the set time. To the cloud.
  • the method also includes:
  • Step S04 The node gateway analyzes and receives the received parameter data, and sends the analyzed data to the central gateway: in this step, the node gateway analyzes and processes the received parameter data, and sends the analyzed data to the central node. Gateway, about what to do with the specific parameter data, which will be described in detail later.
  • step S05 is performed. It is to be noted that the above step S03 and step S04 are performed in parallel, that is, the execution of step S03 and step S04 is chronological, and step S03 and step S04 may be performed simultaneously, or step S03 may be performed first. Step S04 is performed, and step S04 may be performed first, and then step S03 is performed.
  • Step S05 The central gateway transmits the processed data to the management platform: in this step, the central gateway directly transmits the processed data to the management platform.
  • Step S06 The management platform sends a control instruction to the terminal device according to the processed data: In this step, the management platform sends a control instruction to the terminal device according to the size of the processed data.
  • Step S07 After receiving the control command, the terminal device controls the corresponding device: in this step, after receiving the above control command, the terminal device controls the corresponding device, specifically, controls the parameter size of the corresponding device, and finally makes it and the preset The parameters are the same size.
  • the corresponding device comprises a shower head and/or a roller blind and/or a fan and/or a heater and/or a feeder and the like. Of course, in some cases of the embodiment, the corresponding device may further add other devices as needed.
  • the terminal device can be a PC, a tablet, a mobile phone or other terminal device, and the like. After performing this step, return to step S01.
  • the whole inspection process does not require manual measurement, no time-consuming and labor-intensive, and it is completely realized by automation. Therefore, the agricultural site environment can be understood in real time, the efficiency is high, the cost is low, and precise management can be realized.
  • the above step S04 can be further refined, and the refined flowchart is as shown in FIG. 4 .
  • the above step S04 further includes:
  • Step S40 Serial port monitoring: In this step, the monitoring is performed through the serial port.
  • step S41 it is determined whether the serial port has parameter data. In this step, it is determined whether the serial port has parameter data. If the result of the determination is yes, step S42 is performed; otherwise, the process returns to step S40.
  • Step S42 The parameter data is saved to the serial port parsing buffer: if the result of the above step S41 is YES, the step is executed. In this step, the parameter data is saved to the serial port parsing buffer. After performing this step, step S43 is performed.
  • Step S43 determining whether the effective data length in the serial port parsing buffer is the minimum frame length: in this step, determining whether the valid data length in the serial port parsing buffer is the minimum frame length.
  • the minimum frame length is 18 words. Section, of course, in some cases of this embodiment, the minimum frame length can be adjusted according to a specific protocol type. If the result of the determination in this step is YES, step S44 is performed; otherwise, step S40 is returned.
  • Step S44 determines whether the content of the frame header is legal: if the result of the above step S43 is YES, the present step is executed. In this step, it is determined whether the content of the frame header is legal, that is, whether the content of the frame header conforms to the specified format. If the result of the determination is yes, step S46 is performed; otherwise, step S45 is performed.
  • Step S45 The first byte in the serial port parsing buffer is removed: if the result of the above step S44 is no, the step is executed. In this step, the first byte in the serial port parsing buffer is removed. After performing this step, the process returns to step S43.
  • Step S46 determines whether the protocol type is valid: if the result of the above step S44 is YES, the present step is executed. In this step, it is determined whether the protocol type is valid, that is, whether the protocol type is one of several types of protocols specified in advance, for example, the pre-specified protocol type may be Zigbee. In this step, if the result of the determination is YES, step S47 is performed; otherwise, the process returns to step S45.
  • Step S47 determines whether the effective length of the load data is within the set range: if the result of the above step S46 is YES, the present step is executed. In this step, it is judged whether the effective length of the load data is within the set range. If the result of the determination is YES, step S48 is performed; otherwise, the process returns to step S45.
  • step S48 it is judged whether the frame check is correct: if the result of the above step S47 is YES, the present step is executed. In this step, it is judged whether the frame check is correct. If the result of the determination is YES, step S49 is performed; otherwise, the process returns to step S45.
  • step S49 the frame data with the correct frame verification is extracted from the serial port parsing buffer, and saved and sent to the central gateway: if the result of the above step S48 is YES, the deficiencies are executed.
  • the frame data (one frame data) with the correct frame verification is extracted from the serial port parsing buffer, and saved and sent to the central gateway. The entire process does not need to be done manually, so the efficiency is improved.
  • the sunroof, side window, shade net, water curtain, fan, warmer, sprinkler irrigation and fertilization can be remotely controlled.
  • Farm managers can understand the agricultural site environment anytime and anywhere and remotely control the agricultural production site, improve production efficiency and information management level, save manpower input and reduce costs; control the planting process and achieve precise management It can effectively increase the rate of 5% to 10%, and thus increase the output rate of agricultural products; in addition, by centrally managing the production sites scattered throughout the country, the industrialization level of the peasant can be copied and upgraded to a greater extent. It has effectively promoted the implementation of the national modernization strategy of large agriculture and small urbanization.

Abstract

La présente invention concerne un système de gestion agricole intelligent, comprenant un système de serre intelligente (1), une passerelle centrale (2), un routeur (3), un serveur (4), une plate-forme de gestion (5) et un dispositif terminal (6), le système de serre intelligente (1) recueillant un paramètre d'environnement de croissance de plante en temps réel et stockant et analysant ce dernier respectivement, et transmettant les données traitées à la passerelle centrale (2) ; la passerelle centrale (2) transmettant les données reçues à la plate-forme de gestion (5), en passant par le routeur (3) et le serveur (4) dans cet ordre ; la plate-forme de gestion (5) envoyant une instruction de commande générée au dispositif terminal (6) ; et le dispositif terminal (6) commandant les paramètres d'un dispositif correspondant pour permettre à ce dernier d'être cohérent avec un paramètre prédéfini après avoir reçu l'instruction de commande. L'invention concerne également un procédé de gestion agricole intelligent. Le système de gestion agricole intelligent peut voir un environnement de champ agricole en temps réel, a un rendement relativement élevé et des coûts relativement faibles, et peut réaliser la gestion précise.
PCT/CN2014/090591 2014-03-10 2014-11-07 Système de gestion agricole intelligent et procédé de gestion WO2015135333A1 (fr)

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