WO2015135333A1

WO2015135333A1 - Intelligent agriculture management system and management method

Info

Publication number: WO2015135333A1
Application number: PCT/CN2014/090591
Authority: WO
Inventors: 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
Priority date: 2014-03-10
Filing date: 2014-11-07
Publication date: 2015-09-17
Also published as: CN104914797A

Abstract

An intelligent agriculture management system, comprising an intelligent 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 a plant growing environment parameter in real time and storing and analyzing same respectively, and transmits the processed data to the central gateway (2); the central gateway (2) transmits the received data to the management platform (5), passing the router (3) and the server (4) in sequence; the management platform (5) sends a generated control instruction to the terminal device (6); and the terminal device (6) controls the parameters of a corresponding device to enable same to be consistent with a pre-set parameter after receiving the control instruction. Also disclosed is an intelligent agriculture management method. The intelligent agriculture management system can see an agriculture field environment in real time, has a relatively high efficiency and relatively low costs, and can realize the precise management.

Description

Intelligent agricultural management system and management method

Technical field

The invention relates to the field of agricultural management, in particular to an intelligent agricultural management system and a management method.

Background technique

In the prior art, people have limited access to farmland information, mainly through manual measurement, the process is time-consuming and labor-intensive, and the agricultural site environment cannot be understood in real time, and the efficiency is low; in addition, agricultural production mainly depends on manpower, livestock, machinery, Large-scale production capacity is low and there is a lack of uniform standards and processes. Usually, from the monitoring site to the user, a dedicated line connection is required, and monitoring the remote and remote sites is not only expensive, but also costly, and sometimes even technically difficult to achieve. In addition, it is difficult to achieve mobile office and remote monitoring. Modern managers often need to go out to track information changes at any time. Cross-regional and even international data sharing is an inevitable development trend of modern information society, but current farmland management cannot keep up. Requirements for development trends. Existing farmland management is difficult to form networked monitoring, data collection coverage is small, representativeness is poor, and accurate management cannot be achieved.

technical problem

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.

Technical solution

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.

In the intelligent agricultural management system of the present invention, 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.

In the intelligent agricultural management system of the present invention, 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.

In the intelligent agricultural management system of the present invention, 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, and environmental CO2 detector for real-time collection of environmental CO2 content.

In the intelligent agriculture management system of the present invention, 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:

A) collecting plant growth environment parameters, and judging whether the plant growth environment parameter is consistent with a preset parameter, if yes, the node gateway shuts down the device and exits the test; otherwise, step B);

B) transmitting the plant growth environment parameter to the node gateway, the node gateway saves the received parameter locally, and saves the synchronization parameter to the cloud after the set time; and further includes:

C) the node gateway analyzes and processes the received parameter data, and sends the analyzed data to the central gateway;

D) the central gateway transmitting the processed data to the management platform;

E) the management platform sends a control instruction to the terminal device according to the processed data;

F) the terminal device controls the corresponding device after receiving the control command, and returns to step A). In the intelligent agricultural management method of the present invention, the step C) further includes:

C1) Serial port monitoring;

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);

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);

C4) determining whether the content of the frame header is legal, if yes, performing step C6); otherwise, performing step C5);

C5) removing the first byte in the serial port parsing buffer and returning to step C3);

C6) determining whether the protocol type is valid, if yes, performing step C7); otherwise, returning to step C5);

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);

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).

In the intelligent agricultural management method of the present invention, the plant growth environment parameters include air temperature and humidity, soil temperature and humidity, soil pH, plant sunlight, and environmental CO2 content.

In the intelligent agricultural management method according to the invention, 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.

In the intelligent agriculture management method of the present invention, the terminal device comprises a PC, a tablet, a mobile phone or other terminal device.

Beneficial effect

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. After the control command, 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.

DRAWINGS

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 embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained according to these drawings without any creative labor for those skilled in the art. .

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;

2 is a schematic structural view of a smart greenhouse system in the embodiment;

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.

BEST MODE FOR CARRYING OUT THE INVENTION

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

In the embodiment of the intelligent agricultural management system and management method of the present invention, a schematic structural diagram of the intelligent agricultural management system is shown in FIG. 1 . 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 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.

It is worth mentioning that, in this embodiment, the intelligent greenhouse system 1 includes a plurality of intelligent greenhouse subsystems, and N intelligent greenhouse subsystems are drawn in FIG. 1. For convenience of description, 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). The model creates a service concept of large agriculture and large platforms.

2 is a schematic structural diagram of a smart greenhouse system in the embodiment. In FIG. 2, 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. In some cases of this embodiment, 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. Among them, the camera 103 is used to view the plant growth situation in real time through video. Of course, in some cases of the embodiment, 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. A variety.

In this embodiment, 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. By collecting relevant parameters in real time, farm managers can understand the agricultural scene environment at any time and anywhere and remotely control the agricultural production site, improve production efficiency and information management level, save manpower input and reduce costs. At the same 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. In addition, 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. In Figure 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. . In this step, 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. After performing this step, 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.

For the embodiment, the above step S04 can be further refined, and the refined flowchart is as shown in FIG. 4 . 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.

In 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. In this embodiment, 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.

In 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.

In 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. In this step, 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.

In short, in the present embodiment, 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.

The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., which are included in the spirit and scope of the present invention, should be included in the present invention. Within the scope of protection.

Claims

1. An intelligent agricultural management system, comprising: 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 stores and analyzes the same separately Processing, and transmitting the processed data to the central gateway, the central gateway sequentially transmitting the received data to the management platform after passing through the router and the server, and the management platform sends the generated control command After the terminal device receives the control command, the terminal device controls the parameters of the corresponding device to be consistent with the preset parameters.

2. The intelligent agriculture management system according to claim 1, wherein the smart greenhouse system comprises one or more smart greenhouse subsystems, each of the smart greenhouse subsystems comprising a connection with the central gateway. A node gateway for storing and analyzing the collected plant growth environment parameters.

The intelligent agricultural management system according to claim 2, wherein each of the greenhouse systems further comprises a data collector, a camera, a shower head, a roller blind, a fan, and a heater respectively connected to the node gateway. And feeder.

The intelligent agricultural management system according to claim 3, wherein the data collector comprises an air temperature and humidity detector for collecting air temperature and humidity in real time, and a soil temperature and humidity detector for collecting soil temperature and humidity in real time. , a soil pH detector for real-time collection of soil pH, a plant sunlight rate detector for real-time collection of plant sunlight, and an environmental CO2 detector for real-time collection of environmental CO2 content.

The intelligent agriculture management system according to any one of claims 1 to 4, wherein the terminal device comprises a PC, a tablet, a mobile phone or other terminal device.

6. An intelligent agricultural management method, comprising the steps of:

D) the central gateway transmits the processed data to the management platform;

F) the terminal device controls the corresponding device after receiving the control command, and returns to step A).

The intelligent agriculture management method according to claim 6, wherein the step C) further comprises:

C1) Serial port monitoring;

The intelligent agricultural management method according to claim 6 or 7, wherein the plant growth environment parameters include air temperature and humidity, soil temperature and humidity, soil pH, plant sunlight, and environmental CO2 content.

The intelligent agriculture management method according to claim 6, characterized in that 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 intelligent agriculture management method according to claim 6, wherein the terminal device comprises a PC, a tablet, a mobile phone or other terminal device.