Paddy field automatic irrigation and drainage control system based on cloud platform and Internet of Things

Abstract

A paddy field automatic irrigation and drainage control system based on a cloud platform and Internet of Things belongs to the technical field of water conservancy facilities. The system is characterized by comprising a water level sensor, a control box body, a cloud platform, a service gate and the like. The control box body comprises a LoRa module, a gateway element, a power supply controller and a control circuit. The LoRa module receives water level data sent by the water level sensor, receives a control instruction sent by the cloud platform through the gateway element and sends the control instruction to the electric control opening and closing water retaining gate through the control circuit, and the electric control opening and closing water retaining gate receives the control instruction sent by the LoRa module and adjusts the opening degree of the gate. According to the utility model, on-site unattended management conditions can be satisfied, mobile terminal network domain control is realized, and technical support is provided for unmanned irrigated areas and unmanned farms.

Description

Technical Field

[0001] This utility model relates to an automatic irrigation and drainage control system, specifically an automatic irrigation and drainage control system for paddy fields based on a cloud platform and the Internet of Things, belonging to the technical field of water conservancy facilities. Background Technology

[0002] As a major agricultural country and a populous nation, my country has a long history of farmland irrigation development. Various farmland water conservancy projects were constructed in early agricultural production, with field irrigation and drainage as the core components, specifically manifested in the control and management of sluice gates. Sluice gate control plays a crucial role in water conveyance, distribution, and retention, and its applications are very widespread. Furthermore, as an important component of agricultural infrastructure, sluice gates are characterized by large-scale construction, wide-ranging impact, and high utilization rates nationwide.

[0003] However, current farmland irrigation has the following shortcomings: the gate opening is controlled manually, which does not achieve precise control; the water resource utilization rate is low, and the extensive farmland irrigation method causes water waste; the cost of manual management in the field is high, and long-term on-site inspection and monitoring of farmland are required; and the integration of mechanical, power, sensing, and intelligent modules has not been achieved. Therefore, the development of a new automatic irrigation and drainage control system to achieve automated control of sluice gates is of great strategic significance for the construction of modern agriculture.

[0004] Against the backdrop of the mature application of modern Internet of Things platforms, we attempt to combine relevant monitoring equipment in the field of farmland water conservancy construction, integrate automated control into the farmland irrigation management scenario, and thus build a complete, highly integrated automatic irrigation and drainage control system. Utility Model Content

[0005] To address the problems of low automation and serious water waste in existing agricultural irrigation systems, this utility model provides a smart irrigation and drainage control system that integrates water level monitoring, intelligent control, and remote management, namely, an automatic irrigation and drainage control system for paddy fields based on a cloud platform and the Internet of Things.

[0006] The technical solution of this utility model is as follows:

[0007] An automatic irrigation and drainage control system for rice paddies based on a cloud platform and the Internet of Things is characterized by including: a water level sensor, a control box, a cloud platform, and a working gate. The control box includes a LoRa module, a gateway component, a power controller, and control circuitry.

[0008] A water level sensor is installed in the field to collect water level data, and the sensor is connected to a LoRa module. The LoRa module is connected to a gateway element, which in turn is connected to a cloud platform. The working gate is an electrically controlled water-blocking gate (supporting both forward and reverse power supply), installed at the canal head, and connected to the LoRa module.

[0009] Water level sensors are installed at key locations in irrigation or drainage areas to monitor changes in water level in real time. They convert information such as water level height into electrical signals, which are then transmitted to the cloud platform via a LoRa communication module.

[0010] The power controller provides power to the LoRa communication module, gateway components, etc. inside the control box, and provides power to the electrically controlled opening and closing of the water-blocking gate through the control line.

[0011] The control circuit connects to the power controller, distributing power to each component. It also connects the LoRa module to the electrically controlled gate, transmitting control signals from the LoRa module to the gate and directly outputting positive and negative voltages to it. This process converts commands from the LoRa module to the gate's opening and closing control, thus achieving gate control.

[0012] The LoRa module receives water level data from the water level sensor, receives control commands from the cloud platform via the gateway element, and sends the control commands to the electrically controlled gate through the control line. The electrically controlled gate receives the control commands from the LoRa module and adjusts the gate opening.

[0013] The electric gate for opening and closing is directly controlled by a power supply signal, which is converted and output by a transformer component. The transformer is connected to a LoRa module, whose components act as command converters and data collectors. The LoRa module components establish a communication signal with a gateway, which provides mobile communication services and enables bidirectional data transmission with the cloud platform.

[0014] Furthermore, the cloud platform is an IoT system based on a big data cloud platform. It receives water level data, field visual monitoring data, and meteorological and hydrological data uploaded from the control box gateway. Based on the analysis results, it generates control commands, which are transmitted by the gateway to the LoRa module, ultimately controlling the opening degree of the electrically controlled water-blocking gate.

[0015] Furthermore, it also includes PC terminals and mobile apps connected to the cloud platform, facilitating querying and sending control commands. The cloud platform deeply integrates the core technologies of the Internet of Things and big data cloud platforms, and through human operation via mobile devices and internet clients, it transfers management, scheduling, and data processing workstations online, eliminating the need for on-site management. Data reading operations and the issuance of control commands are all completed in the cloud.

[0016] Furthermore, this also includes field visual monitoring equipment that uploads image or video data to a cloud platform.

[0017] Furthermore, it also includes solar panels, which are connected to the input of the power controller to provide power to the entire system.

[0018] In this invention, the opening and closing control circuit of the electrically controlled water-blocking gate is connected to a LoRa module. The LoRa module reads information from the water level sensor and feeds it back to the gateway element. The gateway provides a communication signal path to realize data collection and command loops for the cloud platform. The cloud platform is technically supported by a mobile platform and an IoT client. Based on the user's query and control operations via the cloud platform's IoT terminal, command signals are transmitted to the gateway. The LoRa module receives the gateway signal, verifies the command, and then sends an electrical signal, which is then converted by the transformer to output positive and negative voltages to the electronic gate, thereby realizing the gate's opening and closing control.

[0019] After adopting this utility model, managers can use mobile terminals to: 1) monitor field water conditions in real time; 2) remotely control the opening and closing of gates; 3) set up automated irrigation schemes; and 4) receive system operation status warnings.

[0020] Compared with the prior art, this utility model has the following advantages: (1) It adopts the Internet of Things architecture to realize unmanned management of irrigation and drainage system; (2) It makes intelligent decisions based on real-time monitoring data to improve water resource utilization rate by more than 30%; (3) It supports multiple power supply methods and remote control to adapt to different farmland scenarios; (4) Cloud data storage and analysis provide decision support for precision agriculture; (5) Modular design facilitates maintenance and upgrades and reduces usage costs.

[0021] This utility model of automatic irrigation and drainage control system makes full use of modern Internet of Things platform and cloud control, enabling it to meet the conditions of unattended on-site management, realize mobile network domain control, provide technical support for unmanned irrigation areas and unmanned farms, and accurately control irrigation water supply and efficient water use. It has a high degree of intelligent integration, simple structure, rich and practical functions, low cost and easy use, and has great potential for promotion and application. It has a broad prospect in the promotion and application of modern farm construction. Attached Figure Description

[0022] Figure 1 This is a structural principle block diagram of the present invention. Detailed Implementation

[0023] Automatic irrigation and drainage control system for rice paddies based on cloud platform and Internet of Things, such as Figure 1 As shown, it includes: a water level sensor, a control box, a cloud platform, a working gate, a PC, and a mobile app. The control box includes a LoRa module, gateway components, a power controller, and control circuitry. The PC and mobile app are connected to the cloud platform.

[0024] The water level sensor is connected to the LoRa module, the LoRa module is connected to the gateway element, and the gateway element is connected to the cloud platform. The working gate is an electrically controlled water-blocking gate (supporting forward and reverse power supply), located at the head of the canal, and connected to the LoRa module.

[0025] Water level sensors are installed at key locations in irrigation or drainage areas to monitor water level changes in real time. They convert water level information into electrical signals, which are then transmitted to the cloud platform via a LoRa communication module. The power controller provides power to the LoRa communication module and gateway components within the control box, and also provides power to the electrically controlled opening and closing of the water-blocking gate via control lines.

[0026] The control circuit connects to the power controller, distributing power to the various components. It also connects the LoRa module to the electrically controlled gate, transmitting control signals from the LoRa module to the gate.

[0027] The LoRa module receives water level data from the water level sensor, receives control commands from the cloud platform via the gateway element, and sends the control commands to the electrically controlled gate through the control line. The electrically controlled gate receives the control commands from the LoRa module and adjusts the gate opening.

[0028] The cloud platform is an IoT system based on a big data cloud platform. It receives water level data, field visual monitoring data, and meteorological and hydrological data uploaded from the control box gateway. Based on the analysis results, it generates control commands, which are transmitted by the gateway to the LoRa module, ultimately controlling the opening degree of the electrically controlled floodgate. PC and mobile app access facilitate querying and sending control commands.

[0029] In one embodiment of this utility model, a field visual monitoring device is also included to upload image or video data to a cloud platform.

[0030] In one embodiment of this invention, a solar panel is also included, connected to the input of the power controller, to provide power to the entire system.

[0031] When using this utility model, it is implemented according to the following steps:

[0032] 1) Set up water level sensors in the information collection area connected to the field water level, initialize and decode the data calculation content, and upload it to the control area in real time;

[0033] 2) The gate opening and closing degree is adjusted by electronic control, and real-time scheduling and management are carried out based on the water level information obtained by electronic equipment to complete the remote intelligent operation of the gate;

[0034] 3) The water level sensor can transmit water information to the data acquisition unit. Through the information frequency band of the communication element, it can be transmitted to the Internet of Things cloud database, so that the water conditions of the farmland can be understood in real time online. Then, the gate can be scheduled according to the actual management needs. Other visual monitoring equipment also have cloud sharing channels to ensure safety and system stability in unattended situations.

[0035] 4) The data acquisition and uploading method involves an integrated LoRa module connecting to a gateway to compile and upload real-time information read by electronic devices deployed on-site, which is then ultimately stored on the cloud platform;

[0036] 5) Each electronic information device can independently build a network to complete the connection of its different functions, act as the front-end hardware area, and complete the transmission protocol from the front end to the back end through the construction of the Internet of Things system. Data reading and personalized scheduling of various devices can be completed in the back-end control console based on the big data cloud platform.

[0037] The above-described implementation is merely an embodiment of the present invention under certain specific circumstances and is not intended to limit the technology of the present invention. Various modifications and improvements to the technical solution of the present invention without departing from the design concept of the present invention are all within the protection scope of the present invention.

Claims

1. An automatic irrigation and drainage control system for paddy fields based on a cloud platform and the Internet of Things, characterized by including: Water level sensors are installed in the field to collect data on the field's water level. The control enclosure includes a LoRa module and a gateway component; the water level sensor is connected to the LoRa module, and the LoRa module is connected to the gateway component. The cloud platform is connected to the gateway component; The working gate is an electrically controlled water-blocking gate, located at the head of the canal and connected to a LoRa module.

2. The automatic irrigation and drainage control system for paddy fields based on a cloud platform and the Internet of Things as described in claim 1, characterized in that, It also includes PC clients and mobile apps connected to the cloud platform.

3. The automatic irrigation and drainage control system for paddy fields based on a cloud platform and the Internet of Things as described in claim 2, is characterized in that, The control box also includes a power controller and control circuitry.

4. The automatic irrigation and drainage control system for paddy fields based on a cloud platform and the Internet of Things as described in claim 1, characterized in that, It also includes field visual monitoring equipment, which is connected to the LoRa module signal.

5. The automatic irrigation and drainage control system for paddy fields based on a cloud platform and the Internet of Things as described in claim 1 or 3, characterized in that, It also includes solar panels.

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