Company profile

Jiajing Technology is a technology-driven enterprise that, after nearly a decade of dedicated cultivation and accumulation, has forged an innovative development path centered on an IoT + Big Data + AI strategy to empower clients' digital transformation and upgrading.
From developing information management products and technical services for gas stations, to gas station operations management, to IoT technical services for the energy retail sector, and further expanding into multiple industries with IoT products and solutions, Tianniu Technology has pioneered a unique “technology partnership” model that demonstrates its competitive edge in keeping pace with the times. It has established strategic collaborations with numerous renowned enterprises in fields such as urea refueling, energy retail, lubricants, logistics, and commercial vehicles, empowering clients' development throughout the entire lifecycle.

SOLUTlON COMPONENT

Electronic Tag Identification Sensor	Anti-metal RFID tags	Wireless Data Repeater	Backend Management Software
Fits fuel nozzles for easy installation Safety compliant with explosion-proof certification System stability with data confidentiality	Tamper-proof electronic tags	Supports wireless transmission functionality Receives RFID sensor identification number prompts Features RS-232 communication capability Allows software-based modification of RFID sensor addresses	Enabling Intelligent System Upgrades Integrating Data, Video, and Other Resources with Government Regulatory Backends

SCHEMECOM POSITION

INTERNET OF THINGS SOLUTIONS

The vehicle-card recognition solution, as a subsystem of the skid-mounted IoT intelligent monitoring system, automatically identifies company-owned license plates through computer image processing. By integrating an IoT refueling mainboard, it enables vehicle-card integration, allowing drivers to self-service fuel nozzle pickup and refueling.
The software module is embedded within the skid-mounted intelligent monitoring system software. Combined with the hardware-based vehicle-card integrated self-service fuel nozzle system, it enhances the efficiency and intelligence of the unmanned self-service refueling system at skid-mounted stations.
 

FILLING PROCESS

Vehicle enters the facility. Cameras recognize the license plate. The owner inserts an IC card. The nozzle scans the electronic tag on the fuel tank opening. The backend matches the license plate number with the corresponding electronic tag card number. It sends a command to the mainboard to open the nozzle for refueling. After refueling is complete, the nozzle is returned. The vehicle exits the facility.

FILLING PROCESS

A license plate recognition camera is installed directly opposite the front of the vehicle next to the fuel dispenser. When a vehicle enters the facility, the backend system captures the license plate number from the camera. The user inserts their IC card, and the dispenser's mainboard transmits the IC card information to the backend, which then returns the card details.
When the nozzle is lifted to scan the electronic tag beside the fuel tank, the dispensing control board announces: “Please lift the nozzle to scan the electronic tag beside the fuel tank to identify vehicle information.” If the user fails to lift the nozzle to scan the electronic tag within 1 minute, or if the electronic tag identification fails, the dispensing control board exits the current dispensing process and announces: “Failed to identify vehicle information.” The dispensing control board then returns to standby mode.
An RF card reader is installed above the nozzle. When the nozzle scans the electronic tag (RF card) on the outer side of the fuel tank opening, the reader uses the RFID module to read the electronic tag identification code. This identification code information is then transmitted via the 433MHz wireless communication module to the wireless data repeater (RF base station). The wireless data repeater communicates with the dispensing mainboard via a serial port. The dispensing mainboard receives the data, parses it, and identifies the electronic tag information.