The Internet of Things technology connects objects in real life with the network, exchanges and communicates information through information dissemination media, and achieves intelligent management of objects. At present, the Internet of Things is mainly operated and monitored through two-dimensional data interfaces, while virtual reality technology can present actual scenes in 3D form, and users' actions in the virtual scene can be truly feedback to actual hardware devices, achieving the purpose of controlling actual devices. Imagine if the scene is presented in 3D and the actual scene conditions are reflected in the 3D scene through data interconnection. This way, it is possible to overcome geographical limitations, control actual on-site equipment, make operations simple and intuitive, and reduce the occurrence of accidents. For example, in the maintenance of power plant equipment, the operation scene of power plant equipment is presented in three-dimensional form, real-time data monitoring of power plant steam turbines is carried out, and faults are promptly eliminated; Remote control of related equipment to ensure normal operation.

The intelligent agriculture training kit combines virtual reality technology with Internet of Things technology, simulates an agricultural greenhouse scene through VR technology, and presents it in 3D to users. Users perform a series of operations in the created virtual environment, which are then fed back to hardware products to achieve the goal of controlling actual hardware. The kit consists of VR glasses box, VR display terminal, wireless router, pan tilt camera, exhaust fan, soil temperature and humidity sensor, sound and light alarm, motor control system, carbon dioxide sensor, air temperature and humidity sensor, illuminance sensor, combustible gas sensor, gateway control board, cylindrical water pump, ZigBee slave node controller, soft tube LED light strip, etc. The supporting VR display terminal, combined with VR glasses box, can present VR display content.

The VR Intelligent Agriculture Training Kit FS_VRNY is mainly designed for project-based teaching, which can complete agricultural sensor acquisition experiments, ZigBee wireless communication experiments, Smart Cloud experiments, STM32 related experiments, Android intelligent terminal related experiments, VR related development experiments, etc. Through practical projects, theoretical learning is effectively combined with engineering practice, fully exerting students' subjective initiative, cultivating students' independent thinking ability, teamwork ability, and ability to analyze and solve problems.

Product image

1. Monitoring function system: Based on wireless network obtained plant growth environment information, such as monitoring soil moisture, soil temperature, air temperature, air humidity, light intensity, plant nutrient content and other parameters. Other parameters can also be selected, such as pH value and conductivity in the soil. Information collection, responsible for receiving data from wireless sensor aggregation nodes, storing, displaying, and managing data, realizing the acquisition, management, dynamic display, and analysis of information from all base testing points, and displaying it to users in intuitive charts and curves.

2. Monitoring function system: Automatic information detection and control are achieved within the agricultural park, equipped with wireless sensing nodes. The solar power supply system, information collection and routing equipment are equipped with wireless sensing transmission systems, and each base point is equipped with wireless sensing nodes. The sensing nodes can monitor parameters such as soil moisture, soil temperature, air temperature, air humidity, light intensity, and plant nutrient content. Provide various sound and light alarm information and SMS alarm information according to the needs of crop cultivation.

3. Real time image and video monitoring function: The basic concept of agricultural Internet of Things is to realize the relationship network between crops and the environment, soil and fertility in agriculture, and to achieve the optimal growth environment regulation and fertilization management of crops through multidimensional information and multi-level processing. Video and image surveillance provide a more intuitive way of expressing the relationship between objects.

4. Complete and systematic publication of textbooks and experimental guides.

Project 1: Agricultural Education Scene

Project Background: Utilizing agricultural activities to design experiential activities that showcase the growth process of crops, allowing participants to master agricultural science, technology, and knowledge in a leisurely and relaxed manner. The base utilizes VR technology to see the layout of the entire agricultural park, quickly grasp the growth environment information of crops, and then control relevant equipment to automatically irrigate, cool down, roll molds, apply liquid fertilizers, spray pesticides, etc. in the agricultural park based on the current information.

Scene simulation: By wearing VR glasses, users can immerse themselves in an agricultural greenhouse scene and interact with the scene through specific actions to control execution units such as lighting fixtures, humidifiers, exhaust fans, sprinkler equipment, alarm lights, sunshades, etc. Using VR technology, simulate 3D agricultural greenhouses, including planting areas, control areas, and surrounding environments. With the user's movement, they can reach different areas for control. Various sensors on hardware products collect information on the growth environment of crops and provide real-time feedback to the scene page. Users can clearly see real-time changes in air and soil temperature and humidity, changes in light intensity, and numerical changes in gases such as carbon dioxide. Based on the environmental information, they can intervene in the growth of crops and control their growth.

Outdoor scene

Indoor scene

Environmental information inside the greenhouse