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Broadband Temperature and Vibration Integrated Intelligent Wireless Sensor

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.
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Broadband Temperature and Vibration Integrated Intelligent Wireless Sensor

Piezoelectric Accelerometer

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.
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Tongpin Three-in-One Intelligent Wireless Sensor

The SW3600-X series temperature and vibration integrated intelligent wireless sensor combines sensor data collection, edge processing, and Zigbee wireless communication functions. The product is equipped with a large-capacity lithium battery, a three-axis vibration sensing accelerometer, PT100 platinum resistance, and an electret microphone. It can accurately, quickly, and continuously detect five types of status signals: three-axis vibration, temperature, and sound of the equipment. Embedded with intelligent diagnostic algorithms, it is widely applicable 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.
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Tongpin Three-in-One Intelligent Wireless Sensor

Four-channel edge intelligent terminal

The IEP4000-X series four-channel edge intelligent terminal is specially designed for collecting industrial equipment status information. It extracts equipment fault features through edge computing and transmits data and status analysis results via various methods such as WiFi, 4G, Ethernet, and RS485. It forms the core part of the monitoring system together with the three-in-one intelligent wired sensor.
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Four-channel edge intelligent terminal

Broadband Temperature and Vibration Integrated Intelligent Wireless Sensor

Piezoelectric Accelerometer

Tongpin Three-in-One Intelligent Wireless Sensor

Four-channel edge intelligent terminal

Solutions

Water Treatment Industry Solutions

Water Treatment Industry Solutions

Water Treatment Industry Solutions

1) The wastewater treatment industry has taken shape but remains structurally imbalanced. Municipal sewage treatment has achieved significant results, but industrial wastewater and rural sewage treatment still have shortcomings; regional development is uneven, with insufficient coverage in central and western regions and remote areas; technology relies on traditional processes, with weak capabilities for treating highly challenging wastewater; operating costs are high, marketization is low, and some facilities operate inefficiently. 2) Insufficient treatment capacity and high costs. Currently, the wastewater treatment industry faces complex industrial wastewater composition and dispersed rural sewage that is difficult to centralize, leading to mismatched treatment capacity; high operating costs and inadequate regulatory effectiveness have resulted in issues such as illegal discharge and outdated standards. Breakthroughs in core industry technologies are difficult, such as reliance on imports for high-salinity or hard-to-degrade pollutants; there is a large funding gap and weak cross-departmental coordination.

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Water Treatment Industry Solutions

Automotive Manufacturing Industry Solution

Automotive Manufacturing Industry Solution

Automotive Manufacturing Industry Solution

Automotive manufacturing equipment is diverse and complex in structure, making maintenance challenging and requiring professional technicians to monitor it over extended periods. Equipment failures are often sudden and concealed, making them difficult to detect and prevent through conventional methods in a timely manner. Traditional manual maintenance methods are inefficient, costly, and struggle to meet the modern manufacturing industry's demands for efficient and low-cost production.

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Automotive Manufacturing Industry Solution

Food Processing Industry Solutions

Food Processing Industry Solutions

Food Processing Industry Solutions

In the food processing industry, traditional production methods are facing many challenges, such as: inability to understand the situation in a timely manner due to the lack of networking of workshop equipment; numerous data islands and systems that are not fully integrated with the business; and the inability to record and trace processes in real time due to primitive equipment management methods. The most important aspect of digital transformation is how to connect the complex data pathways between various equipment and systems at the lowest cost.

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Food Processing Industry Solutions

Steel Metallurgy Industry Solution

Steel Metallurgy Industry Solution

Steel Metallurgy Industry Solution

The steel metallurgy industry, as a pillar industry of the national economy, primarily uses natural resources such as iron ore and coal as raw materials. Through a series of complex processes including mining, sintering, coking, ironmaking, steelmaking, continuous casting, and rolling, it transforms raw materials into steel. Therefore, the continuous, stable, and efficient operation of equipment is key to ensuring safe production and improving economic benefits.

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Steel Metallurgy Industry Solution

Energy and Power Industry Solutions

Energy and Power Industry Solutions

Energy and Power Industry Solutions

The energy and power industry is actively promoting the application of big data and artificial intelligence technologies to achieve centralized monitoring of equipment status, remote diagnosis, and predictive maintenance. Currently, the industry faces challenges such as high equipment maintenance costs, frequent failures, difficulty in repairs, and prominent safety hazards.

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Energy and Power Industry Solutions

Coal Mining Industry Solution

Coal Mining Industry Solution

Coal Mining Industry Solution

In the coal mining industry, processes such as mining, transportation, and coal washing are highly industrialized. The main inclined shaft conveyor belt is a key piece of equipment and a high-failure point. For a long time, maintenance has been carried out either through scheduled maintenance or post-failure repairs. Scheduled maintenance cannot timely understand the operating status of the equipment, while post-failure repairs often take too long and cause significant losses due to insufficient preparation beforehand.

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Coal Mining Industry Solution

Petroleum and Petrochemical Industry Solutions

Petroleum and Petrochemical Industry Solutions

Petroleum and Petrochemical Industry Solutions

The petroleum and petrochemical industry features large-scale equipment, continuous operations, and harsh operating environments. Sudden shutdowns can cause significant economic losses and safety risks. Traditional maintenance relies on scheduled inspections and manual patrols, which suffer from low efficiency, high misjudgment rates, and high costs. Predictive maintenance uses sensors, the Internet of Things, big data, and AI models to monitor the status of key equipment in real time, identifying potential issues such as bearing wear, rotor imbalance, and pipeline leaks in advance. This shifts the approach from "reactive repairs" to "proactive prevention." Its value lies in reducing unplanned downtime, lowering operation and maintenance costs, and enhancing safety and environmental protection levels. It is a crucial tool for the digital transformation and intelligent factory construction of petroleum and petrochemical enterprises.

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Petroleum and Petrochemical Industry Solutions

Cement building materials industry solutions

Cement building materials industry solutions

Cement building materials industry solutions

Cement building material production workshops have hundreds of mechanical equipment, such as crushers, blowers, elevators, vertical mills, grate coolers and the most critical rotary kilns. Once a piece of equipment on the production line fails, it will cause the entire production to be interrupted, which may affect the economic benefits of the enterprise in a minor case, and may lead to serious safety incidents in a serious case.

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Cement building materials industry solutions

Wuhan Zhongyun Kangchong Technology Co., Ltd.

Wuhan Zhongyun Kangchong Technology Co., Ltd. (abbreviated as Zhongyun Technology) was established in 2016, with its headquarters located in Wuhan, Hubei Province, and a branch office in Dongguan, Guangdong Province.
As a high-tech enterprise dedicated to industrial equipment lifecycle management, predictive maintenance, online diagnostics, intelligent inspection, remote operation and maintenance, and remote monitoring services, it possesses dedicated teams including hardware sensing, AI algorithm chips, diagnostic algorithms, cloud platform software, university-industry-research collaboration, and expert manual diagnostics.

Technical support is provided by institutions including Harbin Institute of Technology, Huazhong University of Science and Technology, Xi'an Jiaotong University, Tsinghua University, and Wuhan University of Science and Technology, with collaborative university-industry initiatives facilitating practical enterprise implementation.
The company operates multiple PHM laboratories, possessing the industry's most comprehensive and advanced algorithmic models and engineering capabilities. These models are made available as cloud services, enabling enterprises to access intelligent diagnostic services via simple API calls without requiring dedicated vibration analysts. This empowers businesses to achieve predictive equipment maintenance and enhanced operational efficiency.

Details
250 +

Served enterprises

50000 +

Monitored equipment quantity

95 %

Software algorithm accuracy

0

False negative rate is

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