Zhongyun Technology's Full-Lifecycle Management Platform for Equipment leverages an innovative, integrated management approach to provide enterprises with a digital solution that covers the entire process—from "planning, procurement, installation, operation, maintenance, to decommissioning." By deeply integrating IoT sensing, big data analytics, and artificial intelligence technologies, the platform establishes a comprehensive management loop spanning from equipment asset deployment to disposal, helping companies boost equipment reliability by 40%, reduce maintenance costs by 35%, and improve Overall Equipment Effectiveness (OEE) by 25%, ultimately enabling organizations to maximize the value of their equipment assets.

Embracing the Industry 4.0 Era: IEPlat Tengyun – the Intelligent Operations & Maintenance Platform, empowering comprehensive lifecycle management of equipment. By integrating cutting-edge sensing technologies, advanced data analytics, and AI algorithms, the platform enables real-time monitoring of equipment conditions, predictive maintenance, and intelligent upkeep—maximizing equipment availability, reducing maintenance costs, and ultimately unlocking greater value for businesses. Leveraging equipment operational data, it accurately forecasts potential failures and proactively intervenes before issues arise, helping companies avoid unplanned downtime and minimize production losses.

Our company designs and manufactures the GZW80/165 intrinsically safe mining-type vibration-temperature sensor (hereinafter referred to as the sensor), a dual-function product integrating both vibration and temperature measurements. It boasts outstanding features such as wide frequency response, high precision, strong anti-interference capability, excellent air-tightness, and long service life—making it the ideal matching product for vibration-temperature signal measurement and monitoring systems in applications requiring explosion-proof safety in mining environments. This product is specifically designed for measuring temperature as well as dynamic vibration acceleration.

The SL1000AT-10-LF series low-frequency temperature and vibration integrated piezoelectric accelerometer is an industrial IEPE accelerometer designed for synchronous low-frequency temperature and vibration measurement. It features a ring shear mode ceramic element as the sensitive component, which ensures long-term stable output. The internal circuitry of this accelerometer provides a constant current source excitation and transmits a low-impedance voltage output signal on a two-wire IEPE system. An integrated temperature sensor transmits temperature signals via voltage. The signal ground is internally shielded and isolated from the housing, enabling high-precision, fast, and continuous detection of equipment vibration and temperature signals. It is mainly used for condition monitoring of low-speed equipment and precise diagnosis of bearing and gearbox faults.

The SL1000AT-80 series piezoelectric accelerometer with integrated frequency, temperature, and vibration measurement is an industrial IEPE accelerometer designed for synchronous temperature and vibration measurement. It features a ceramic crystal sensitive element operating in a shear mode, ensuring long-term stable output. The internal circuitry of this accelerometer provides a constant current source excitation and transmits a low-impedance voltage output signal on a two-wire IEPE system. An integrated temperature sensor transmits temperature signals via voltage. The signal ground is internally shielded and isolated from the housing, enabling high-precision, fast, and continuous detection of equipment vibration and temperature signals. It is primarily used for equipment condition monitoring and precise diagnosis of bearing and gearbox faults.

The SL2000-X Wen Zhensheng three-in-one intelligent wired sensor is equipped with a built-in three-axis vibration sensing accelerometer, a capacitive electret microphone, and a PT100 platinum resistance thermometer. It can accurately, quickly, and continuously detect the X, Y, and Z axis vibrations, sound, and temperature signals of equipment. After anti-aliasing filtering, it outputs the corresponding signal voltage amplitude. It connects to the acquisition terminal via an aviation connector with an IP65 protection rating. It is widely used in industrial AI fields such as industrial equipment condition monitoring, fault prediction, and fault diagnosis, and can precisely diagnose early faults in mechanical equipment such as bearings and gearboxes.

The SL3000-X series current harmonic sensor primarily monitors the motor circuit current. The motor circuit input end is powered by high and low voltage switchgear. The current harmonic sensor senses the main circuit current signal and outputs it to the sensor edge terminal for digital signal processing and analysis. It extracts current harmonic characteristic values and waveforms to diagnose motor rotor faults, air gap eccentricity faults, winding faults, etc. It features simple installation, safety, and high reliability.

The SL4000-X series eddy current displacement sensor can measure the relative position between the measured object (must be a metal conductor) and the probe end face. Due to the eddy current sensor's long-term reliability, high sensitivity, strong anti-interference ability, non-contact measurement, fast response speed, and resistance to oil, water, and other media, it is often used for long-term real-time monitoring of parameters such as shaft displacement, shaft vibration, shaft speed, key phase, and eccentricity of large rotating machinery. This allows for analysis of the equipment's operating status and fault causes, effectively protecting the equipment and enabling predictive maintenance.

The SW2000-X series temperature and vibration integrated intelligent wireless sensor combines sensor data collection, edge processing, and NB-IoT wireless communication functions into one. The product is equipped with a large-capacity lithium battery, a three-axis vibration sensing accelerometer, and a PT100 platinum resistance thermometer. It can accurately, quickly, and continuously detect four types of status signals: three-axis vibration and temperature of the equipment. Embedded with intelligent diagnostic algorithms, it can be widely used in industrial AI fields such as industrial equipment condition monitoring, fault prediction, and fault diagnosis, enabling precise diagnosis of early faults in rotating machinery such as bearings and gearboxes.