Applications

As an effective solution for indoor gas environment monitoring, air quality monitoring devices have gained widespread adoption in recent years due to their advantages, including portability, ease of operation, and real-time monitoring capabilities. However, most conventional indoor air quality monitors currently available have relatively limited functionality, typically measuring only a single environmental parameter and lacking a comprehensive assessment of indoor air quality. Furthermore, many indoor gas detection devices do not perform further analysis or processing of the detected gas parameters, overlooking the cross-sensitivity commonly found in gas sensors. As a result, measurement results can be easily affected by interfering gases, making it difficult to achieve high detection accuracy.

Used for indoor environment monitoring and control, dedicated gas sensors are employed for detection, combined with AI recognition algorithms and obstacle avoidance functions to achieve effective navigation, hazard avoidance, and alarm response. When abnormal odors are detected, the system can trigger an alarm or automatically activate air purifiers, ventilation systems, fresh air exchange systems, and other treatment measures. It can also support regular replacement and cleaning management, while optimizing and controlling the usage amount of cleaning agents.

In smart toilet applications, gas sensors can provide real-time detection of TVOC, ammonia (NH₃), hydrogen sulfide (H₂S), and other odor-causing gases released during use. By integrating with ventilation, deodorization, and smart home systems, they enable odor monitoring, automatic deodorization, and hygiene environment management. With further integration of multi-channel gas sensor arrays, standardized sampling structures, and pattern recognition algorithms, the system can collect multidimensional “odor fingerprints” generated by volatile compounds from urine and feces. This provides a foundation for long-term trend analysis and auxiliary risk screening research related to metabolic and health conditions such as diabetes and kidney diseases. The relationship between human volatile organic compounds (VOCs) and metabolic status, as well as electronic nose-based screening methods, is still undergoing continuous research and clinical validation. Therefore, this function should be posit

Refrigerator Fruit Freshness Detection Due to significant differences in characteristic odors between fresh and spoiled foods, an intelligent gas recognition platform can effectively identify changes in the atmosphere inside a refrigerator during different stages of food storage, thereby evaluating the freshness of stored food. The system can detect the freshness of ten types of fruits and vegetables in a refrigerator while eliminating interference from strong-smelling foods such as durian and chives. Once spoiled fruits or vegetables are detected, an alarm notification can be displayed on the refrigerator panel or pushed to a mobile APP.

Refrigerator Fruit Freshness Detection Due to the significant differences in characteristic odors between fresh and spoiled foods, an intelligent gas recognition platform can effectively identify changes in the internal refrigerator atmosphere during different stages of food storage, enabling evaluation of food freshness. The system can detect the freshness of ten types of fruits and vegetables stored in refrigerators while eliminating interference from strong-smelling foods such as durian and chives. Once spoiled fruits or vegetables are detected, the system can display warning information on the refrigerator panel or send notifications to a mobile APP.

During home charging of new energy vehicles, abnormal conditions such as overcharging, internal short circuits, battery aging, or localized overheating may cause the release of hydrogen and other characteristic gases during the development stage of thermal runaway. Hydrogen sensors can be deployed in smart home charging systems, charging parking spaces, or near the vehicle underbody to continuously monitor low-concentration hydrogen variations. By combining hydrogen detection data with parameters such as temperature, current, and voltage, the system can perform multi-parameter fusion analysis for improved safety assessment. When an abnormal rising trend in hydrogen concentration is detected, the system can provide early risk warnings and trigger linked safety actions, including stopping the charging process, sending remote alerts, or initiating on-site safety response procedures. Compared with monitoring methods that rely solely on temperature or smoke signals, gas sensing can provi

By integrating intelligent olfaction with existing smart vision systems, a low-cost atmospheric grid monitoring network can be established. This enables real-time monitoring and source tracing of urban air pollutants, while providing richer data support for the smart city brain to achieve more efficient environmental governance.

Through an intelligent olfactory system, the concentration changes of indoor environmental pollutants can be monitored and analyzed in real time. The system can also transmit comprehensive indoor environmental information to household smart terminals, helping ensure a healthy and safe indoor environment.

With the support of an intelligent olfactory system, modern livestock farms can achieve real-time monitoring of air quality in breeding areas. Through a centralized management platform, the system can be linked with fresh air ventilation, drinking water, and other facility systems, enabling intelligent regulation of the living environment for livestock and poultry.

In enclosed spaces such as subways, tunnels, mines, indoor environments, and cold-chain transportation scenarios, appropriate sensing technologies can be deployed to monitor air quality, hazardous gases, and pollutant gases within confined areas, helping ensure the safety of personnel inside.

Cat litter is an essential product in daily cat care. However, urine and feces in cat litter can generate unpleasant odors, affecting the home environment. As a result, technologies for evaluating the deodorization performance of cat litter have emerged. Zhongke WeSense uses MEMS gas sensors to measure and output odor concentration levels before and after cat litter deodorization, allowing users to intuitively understand the deodorization effect of cat litter.

It can detect odor-causing components in pet water dispensers, including volatile organic compounds (VOCs), ammonia (NH₃), and other gases. When abnormal odors appear in pet drinking water, the MEMS gas sensor can detect them in real time and compare the measured values with preset thresholds. Once the detected value exceeds the threshold, odor-related information from the pet drinking water can be transmitted in real time to a smartphone or cloud platform via wireless communication technologies such as Wi-Fi or Bluetooth, reminding pet owners to replace the drinking water or clean the water dispenser.

Using gas sensors to detect pet diseases is a method of assessing pet health by measuring gas components in the air. Gas sensors can analyze gases such as aldehydes and carbon monoxide (CO) in the air exhaled by pets, helping identify potential signs of disease. They can also be used to evaluate pets’ mental health status. For example, by measuring aldehyde gases in the air exhaled by pets, the system may help assess the level of anxiety in pets.

By collecting human exhaled breath through a standardized sampling structure, the system digitally analyzes response characteristics to ammonia compounds, ketones, and various volatile organic compounds (VOCs). Combined with temperature and humidity compensation, an odor feature database, and machine learning algorithms, it can establish an individual breath “odor fingerprint.” This solution can be used for research on breath characteristics associated with abnormal kidney function and certain respiratory diseases, as well as long-term trend monitoring and auxiliary risk screening. In Helicobacter pylori detection scenarios, it can be further combined with dedicated sampling procedures and detection units to build a breath analysis system. It should be noted that the clinically used H. pylori urea breath test detects labeled carbon dioxide generated after the intake of labeled urea. A conventional gas sensor array cannot directly replace standardized urea breath testing or clinical d

In **oral breath detection devices**, gases such as **hydrogen sulfide (H₂S), methyl mercaptan, dimethyl sulfide, ammonia compounds, and other volatile gases** can be comprehensively sensed. Through multi-sensor cross-response analysis, the system can evaluate changes in oral gas concentrations and odor patterns, enabling **breath odor level assessment, abnormal breath odor alerts, and comparison of cleaning effects before and after oral care**. By integrating **active pump-assisted sampling, fixed sampling distance, and algorithmic models**, the system can reduce the influence of blowing methods, ambient airflow, and sample concentration fluctuations. It can be adapted for **smart toothbrushes, smart mirrors, oral care devices, and portable breath odor detectors**. This function can serve as a tool for daily oral health management and risk indication. However, bad breath may be associated with tongue coating, periodontal problems, oral infections, or other systemic factors. Persiste

Monitor environmental parameters in production workshops, including **air quality, temperature, humidity, and vibration**, helping enterprises achieve environmental monitoring and control throughout the production process, while improving workplace safety and production efficiency.

Detect gas components in industrial production, such as **volatile organic compounds (VOCs) emitted from electronic products** and **CO and NOx in vehicle exhaust**, to help ensure product quality and compliance with environmental protection requirements.

It can monitor the operating status and faults of machinery. For example, by detecting exhaust gases from an engine, the system can determine whether faults are present or whether engine control parameters need to be adjusted, thereby improving operating efficiency and reducing the failure rate of the equipment.

MEMS gas sensors can detect toxic, harmful, and combustible gases generated during thermal runaway combustion of power batteries caused by internal short circuits, overcharging, over-discharging, collisions, and other abnormal conditions. This enables early fire sensing, intelligent assessment, and advance warning for battery safety risks.

In **industrial inspection robot applications**, gas sensors and multi-channel sensor array modules can be integrated into the robot body to enable mobile inspection of **combustible gases, toxic and harmful gases, TVOC, and abnormal odors** in production workshops, chemical plant areas, storage tank zones, pipe galleries, underground spaces, and around equipment.

Monitor gas pressure and flow in pipelines to help enterprises achieve process control, energy saving, and consumption reduction. For example, in industrial production, real-time detection of gas flow and pressure enables operators to monitor process parameters and adjust the production process accordingly, thereby improving production efficiency and reducing energy consumption.

Oxygen and carbon dioxide are important factors affecting grain storage quality. By installing **MEMS gas sensors** in grain storage containers, the oxygen and carbon dioxide levels in stored grain can be monitored and controlled in real time, helping prevent grain deterioration, spoilage, and other problems caused by improper storage conditions.

During food processing, certain gas parameters need to be monitored to ensure food quality and safety. For example, during bread baking, MEMS gas sensors can be used to monitor the **temperature, humidity, and carbon dioxide concentration** inside the oven in real time, thereby helping ensure consistent baking quality.

During food storage and transportation, food quality may be affected by factors such as temperature, humidity, oxygen, and carbon dioxide. MEMS gas sensors can be used to monitor these parameters in real time, enabling timely detection and resolution of potential issues to ensure the quality of food during storage and transportation.

The quality of food packaging plays an important role in food safety and freshness preservation. MEMS gas sensors can be used to monitor the gas composition inside food packaging in real time, enabling timely detection of packaging leakage and other issues to ensure packaging quality and food safety.