{"id":615072,"date":"2026-09-22T23:18:30","date_gmt":"2026-09-22T23:18:30","guid":{"rendered":"https:\/\/www.olympiajournal.com\/news\/story\/615072\/co-sensors-are-transforming-smart-building-performance-and-indoor-air-quality-management.html"},"modified":"2026-09-22T23:18:30","modified_gmt":"2026-09-22T23:18:30","slug":"co-sensors-are-transforming-smart-building-performance-and-indoor-air-quality-management","status":"publish","type":"post","link":"https:\/\/www.pennsylvania-magazine.com\/news\/story\/615072\/co-sensors-are-transforming-smart-building-performance-and-indoor-air-quality-management.html","title":{"rendered":"CO\u2082 Sensors Are Transforming Smart Building Performance and Indoor Air Quality Management"},"content":{"rendered":"

Cambridge, United Kingdom<\/strong> – September <\/strong>22<\/strong>, 2026<\/strong><\/p>\n

Introduction<\/strong><\/p>\n

Modern intelligent buildings face the dual imperative of enhancing energy efficiency while maintaining high standards of indoor air quality. <\/strong>Globally, the built environment accounts for approximately 30–40% of total energy consumption, with Heating, Ventilation and Air Conditioning (HVAC) systems representing a significant proportion of this demand. While mechanical ventilation is essential for ensuring a healthy internal environment, excessive ventilation results in unnecessary energy expenditure, whereas insufficient ventilation can lead to the accumulation of indoor pollutants such as carbon dioxide (CO\u2082), thereby compromising both occupant wellbeing and comfort.<\/p>\n

With individuals spending around 90% of their time indoors, the continued prevalence of Sick Building Syndrome (SBS) in many commercial and institutional buildings highlights critical shortcomings in conventional environmental control strategies. Research conducted by the Harvard T.H. Chan School of Public Health has reinforced the direct relationship between indoor air quality and both public health outcomes and cognitive performance. The study calls for the adoption of mandatory indoor air quality standards to mitigate exposure to airborne pollutants and reduce the risk of communicable disease transmission.<\/p>\n

Against this backdrop, CO\u2082 sensors have emerged as a key enabling technology for real-time indoor air quality monitoring and demand-responsive ventilation control. This article examines the essential role of CO\u2082 sensing within intelligent building automation systems — assessing the limitations of traditional HVAC practices, showcasing sensor-driven ventilation strategies and real-world applications, evaluating their contribution to green building certification and health risk mitigation, and outlining best practices for sensor selection, implementation, and future innovation.<\/p>\n

\"indoor<\/p>\n

Limitations of Conventional Ventilation Systems<\/strong><\/p>\n

Traditional building ventilation systems are predominantly operated based on fixed design parameters established during the planning phase. These systems lack the capability to respond dynamically to real-time occupancy levels and indoor air quality (IAQ) conditions. Typically, constant air volume (CAV) ventilation strategies assume maximum occupancy and deliver a fixed quantity of outdoor air regardless of actual usage. As a result, when spaces are under-occupied, they continue to be ventilated at full capacity, leading to over-ventilation and unnecessary energy consumption. Conversely, during periods of higher-than-anticipated occupancy or sudden increases in CO\u2082 levels, the system continues to operate at a pre-set rate, resulting in inadequate ventilation and elevated indoor CO\u2082 concentrations.<\/p>\n

Studies have shown that many commercial buildings maintain maximum ventilation during occupied hours in order to comply with standards such as ASHRAE 62.1. However, this often leads to a substantial portion of operational time being spent in a state of over-ventilation. This not only increases operational energy costs, but in humid climates, it may introduce excessive moisture into the space, contributing to issues such as mould growth and indoor humidity imbalances.<\/p>\n

On the other hand, under-ventilation directly compromises indoor air quality. Elevated CO\u2082 levels<\/strong><\/a> make indoor environments feel stale, induce fatigue and cognitive sluggishness, and can trigger symptoms associated with Sick Building Syndrome (SBS). Conventional systems typically lack real-time environmental sensing capabilities and rely instead on periodic manual inspection or subjective occupant feedback, resulting in delayed response and suboptimal performance.<\/p>\n

Conventional building management practices often prioritise temperature regulation, while neglecting the continuous monitoring of environmental parameters such as CO\u2082. For instance, many older buildings are equipped solely with thermostats to control HVAC systems and lack any mechanism for CO\u2082 monitoring or alerting. This creates a significant blind spot: when inadequate ventilation results in CO\u2082 accumulation beyond harmful thresholds (e.g. >1000\u202fppm), facilities managers may remain unaware until occupants begin to experience discomfort or lodge complaints.According to the United States Occupational Safety and Health Administration (OSHA), CO\u2082 concentrations should not exceed 5000\u202fppm as a time-weighted average over an 8-hour period. Prolonged exposure to elevated CO\u2082 levels has been linked to adverse health effects including headaches, nausea, and — at extreme concentrations — more serious physiological responses.<\/p>\n

The table below summarises the typical environmental conditions and health implications associated with varying indoor CO\u2082 concentration levels:<\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

Metric<\/strong><\/p>\n<\/td>\n

\n

Conventional CAV Ventilation<\/strong><\/p>\n<\/td>\n

\n

CO<\/strong>\u2082<\/strong> Sensor + DCV (Demand-Controlled Ventilation)<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Fresh Air Supply Mode<\/strong><\/p>\n<\/td>\n

\n

Fixed air volume, irrespective of occupancy levels<\/p>\n<\/td>\n

\n

Dynamically adjusted based on real-time CO\u2082 concentration<\/p>\n<\/td>\n<\/tr>\n

\n

Typical CO<\/strong>\u2082<\/strong> Levels (Working Hours)<\/strong><\/p>\n<\/td>\n

\n

1000–1500ppm (potentially higher during peak periods)<\/p>\n<\/td>\n

\n

600–800ppm (consistently maintained within optimal range)<\/p>\n<\/td>\n<\/tr>\n

\n

HVAC Ventilation Energy Usage<\/strong><\/p>\n<\/td>\n

\n

100% (baseline)<\/p>\n<\/td>\n

\n

Reduced by 20–40%<\/p>\n<\/td>\n<\/tr>\n

\n

Annual Operating Energy Costs<\/strong><\/p>\n<\/td>\n

\n

High costs; limited energy-saving potential<\/p>\n<\/td>\n

\n

Significantly reduced; 2–4 year return on investment (ROI)<\/p>\n<\/td>\n<\/tr>\n

\n

Indoor Air Quality (IAQ)<\/strong><\/p>\n<\/td>\n

\n

Fluctuates randomly; prone to stuffiness or overcooling<\/p>\n<\/td>\n

\n

Continuously monitored; air quality remains within target range<\/p>\n<\/td>\n<\/tr>\n

\n

Green Building Compliance<\/strong><\/p>\n<\/td>\n

\n

Often fails to meet stricter IAQ standards<\/p>\n<\/td>\n

\n

Readily meets LEED\/WELL criteria; lower compliance risk<\/p>\n<\/td>\n<\/tr>\n

\n

Hidden Benefits<\/strong><\/p>\n<\/td>\n

\n

—<\/p>\n<\/td>\n

\n

Improved staff health (lower sick leave rates), productivity gains<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table: Classification of Indoor Air Quality and Health Effects by CO\u2082 Concentration Level (based on guidelines from Harvard University, CDC, and ASHRAE)<\/p>\n

In the absence of real-time monitoring and automated building control, traditional ventilation systems often allow indoor CO\u2082 concentrations to exceed the recommended comfort threshold of 1000\u202fppm during periods of high occupancy. This presents tangible risks to both occupant health and cognitive performance. Furthermore, with growing regulatory scrutiny over indoor air quality across many countries, compliance risk has become an increasingly prominent challenge for conventional systems.<\/p>\n

Many countries have already enacted legislation mandating the installation of CO\u2082 monitoring devices in public buildings such as schools. The United Kingdom, France, the Netherlands, and various US states — including California and Colorado — have introduced regulations requiring classrooms to be equipped with CO\u2082 monitors to safeguard student health and improve attention levels. Notably, California passed Assembly Bill AB\u202f2332, which mandates CO\u2082 monitoring in classrooms to ensure that ventilation rates meet minimum safety standards.<\/p>\n\n\n\n\n\n\n
\n

CO\u2082 Concentration (ppm)<\/strong><\/p>\n<\/td>\n

\n

Estimated COVID-19 Transmission Risk<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

<600<\/p>\n<\/td>\n

\n

Low risk (<5%)<\/p>\n<\/td>\n<\/tr>\n

\n

800–1000<\/p>\n<\/td>\n

\n

Moderate risk (15–20%)<\/p>\n<\/td>\n<\/tr>\n

\n

>1400<\/p>\n<\/td>\n

\n

High risk (>60%)<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

CO\u2082 concentration is directly correlated with infection probability “CDC Building Safety Guidelines”<\/p>\n

 <\/p>\n

CO\u2082 Sensor-Driven Solutions and Practical Applications<\/strong><\/p>\n

To address the limitations of conventional ventilation systems, CO\u2082 sensor-driven Demand-Controlled Ventilation (DCV) offers a proven and effective solution. By continuously monitoring indoor carbon dioxide concentrations, CO\u2082 sensors serve as a direct proxy for occupant activity and ventilation demand. Based on the sensor readings, the system dynamically adjusts the volume of outdoor air supplied, thereby enabling ventilation on demand.<\/p>\n

When the CO\u2082 concentration rises above a predefined threshold, the HVAC Building Automation System<\/strong> can automatically open fresh air<\/strong><\/a>dampers or increase fan speed to en hance ventilation. Conversely, when occupancy decreases and CO\u2082 levels fall, the system can reduce damper openings or fan output accordingly to avoid unnecessary air exchange. This closed-loop control strategy allows DCV systems to maintain indoor air quality standards while minimizing ventilation-related energy consumption.<\/p>\n

CO\u2082 sensor-driven intelligent ventilation solutions have already been successfully implemented and validated in numerous buildings. Leading building automation providers — including Johnson Controls, Schneider Electric, and Siemens — have integrated CO\u2082 sensor modules into their building management systems (BMS) to enable demand-controlled ventilation (DCV). Field applications have shown that DCV is particularly effective in spaces with fluctuating occupancy and usage patterns, such as meeting rooms, auditoriums, dining areas, and shopping centres. For example, following the implementation of DCV retrofits in a university library and several classrooms in the United States, measured data revealed that even during peak occupancy periods, indoor CO\u2082 levels were consistently maintained around 800\u202fppm, ensuring a fresh and pleasant indoor atmosphere. During low-occupancy periods at night, the system automatically reduced ventilation load, resulting in an overall energy saving of approximately 30%.<\/p>\n

At the application level, leading enterprises across various sectors are incorporating CO\u2082 monitoring into their intelligent building management strategies. For instance, IBM’s Tririga platform and Microsoft’s Azure Digital Twins technology both support integration of environmental sensor data, enabling granular management of indoor workspaces. According to public reports, Microsoft and other large innovation campuses have deployed IoT-based sensor networks that collect real-time data on CO\u2082, temperature, humidity, PM2.5 and other air quality indicators. These data are then processed using AI algorithms to optimise HVAC performance, thereby realising the vision of “breathing buildings”.<\/p>\n

Cisco has also recently introduced innovative CO\u2082 sensing devices, such as the Meraki MT-15 environmental sensor, which simultaneously monitors CO\u2082, PM2.5, total volatile organic compounds (TVOCs), temperature, humidity, and noise levels. These devices can transmit data wirelessly to cloud-based platforms, supporting large-scale, multi-building environmental quality monitoring and analytics. When CO\u2082 levels exceed predefined thresholds, the Automated Building Control system can automatically issue alerts or activate ventilation systems, ensuring a rapid response.<\/p>\n

CO\u2082 sensing technologies are becoming an integral part of the building IoT ecosystem. In combination with smart control platforms, they provide building operators with unprecedented levels of environmental visibility and automation. Not only do they enhance indoor environmental quality, but they also lay the foundation for high-efficiency, sustainable, and intelligent buildings.<\/p>\n

The Role of CO\u2082 Monitoring HVAC building automation systems in Green Building Certification<\/p>\n

As the concept of sustainable development continues to gain traction, mainstream green building certification frameworks have increasingly incorporated indoor air quality and intelligent control systems into their assessment criteria. In this context, CO\u2082 sensors play a pivotal role, often serving as a key component in achieving higher sustainability ratings.For example, the LEED (Leadership in Energy and Environmental Design) certification — administered by the U.S. Green Building Council — explicitly requires CO\u2082 monitoring and outdoor air supply feedback control in high-occupancy spaces as part of its Indoor Environmental Quality (IEQ) credit structure. Specifically, LEED mandates the installation of fixed-position CO\u2082 sensors in densely occupied areas (typically mounted at a height of 1–2 metres above floor level) and requires that indoor CO\u2082 levels remain below a threshold of approximately 950\u202fppm — generally no more than 700\u202fppm above ambient outdoor levels. Consistent compliance with this requirement, along with periodic sensor calibration, is necessary to earn the associated certification points.<\/p>\n

Similarly, the WELL Building Standard — which focuses on human health and wellbeing in the built environment — places significant emphasis on CO\u2082 and other indoor air parameters. WELL calls for buildings to maintain consistently low CO\u2082 levels during normal operation (typically below 800\u202fppm) and encourages the use of real-time air quality displays that visibly communicate CO\u2082 concentrations and related metrics to occupants. This not only increases operational awareness of air quality but also strengthens occupant confidence and satisfaction.<\/p>\n

Technical Selection and Implementation Guidance<\/p>\n

To fully realise the benefits of CO\u2082 sensors within Automated Building Controls, appropriate technology selection and proper installation practices are essential. Among the available sensor technologies, Non-Dispersive Infrared (NDIR) CO\u2082 sensors<\/strong><\/a> currently dominate the market. NDIR sensors determine CO\u2082 concentration based on the principle of characteristic infrared absorption by CO\u2082 molecules. They are widely valued for their high stability and accuracy, with typical measurement precision reaching ±50\u202fppm or ±3% of the reading (whichever is greater). Thanks to years of technological refinement, modern NDIR sensors have significantly addressed earlier issues related to signal drift and calibration, and their reliability has been validated in real-world applications.<\/p>\n

\"NDIR<\/p>\n

While alternative sensing technologies — such as photoacoustic spectroscopy and solid-state electrochemical sensors — are emerging, their adoption in building applications remains relatively limited at this stage.<\/p>\n

When selecting a sensor, key parameters to consider include the measurement range (a range of 0–2000\u202fppm is generally sufficient for typical indoor environments, while high-occupancy zones may require up to 5000\u202fppm), measurement accuracy, response time, and output interface types. Supported outputs may include analogue voltage or current (e.g. 0–10\u202fV or 4–20\u202fmA), as well as digital protocols such as Modbus or BACnet, depending on system integration requirements.For example, Schneider Electric’s SpaceLogic series of indoor air quality sensors — which monitor both CO\u2082 and VOCs — offer both analogue (4–20\u202fmA \/ 0–10\u202fV) and Modbus digital communication options, enabling seamless integration with a wide range of building management systems.<\/p>\n\n\n\n\n\n\n\n
\n

Parameter<\/strong><\/p>\n<\/td>\n

\n

Standard Building Zones<\/strong><\/p>\n<\/td>\n

\n

Critical Zones (e.g. A&E \/ Laboratories)<\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Accuracy<\/strong><\/p>\n<\/td>\n

\n

±50 ppm + 3% of reading<\/p>\n<\/td>\n

\n

±20 ppm + 1.5% of reading<\/p>\n<\/td>\n<\/tr>\n

\n

Measurement Range<\/strong><\/p>\n<\/td>\n

\n

0–5000 ppm<\/p>\n<\/td>\n

\n

0–10,000 ppm<\/p>\n<\/td>\n<\/tr>\n

\n

Response Time<\/strong><\/p>\n<\/td>\n

 <\/td>\n <\/td>\n<\/tr>\n
\n

Annual Drift<\/strong><\/p>\n<\/td>\n

 <\/td>\n <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Installation Layout Guidelines<\/strong><\/p>\n

When planning sensor installation, certain guidelines should be followed to ensure that readings are both representative and accurate. Sensors should preferably be wall-mounted at breathing zone height (approximately 1–2\u202fmetres above floor level), and care must be taken to avoid placement near fresh air supply vents or exhaust fans, which could cause localised air disturbances and skew measurements.<\/p>\n

Each independently controlled ventilation zone — such as a VAV (Variable Air Volume) zone — should have at least one CO\u2082 sensor installed. In large or unevenly occupied open-plan areas, multiple sensors may be required to ensure adequate spatial coverage, or a distributed air quality sensing system may be used to overcome the limitations of single-point monitoring.It is important to note that duct-mounted CO\u2082 sensors must be used with caution and only where airflow is well-mixed — typically at the main return duct in a centralised HVAC system. In end-of-line ventilation zones with direct supply and exhaust (such as meeting rooms), wall-mounted sensors are generally preferable.<\/p>\n

Each sensor must be calibrated according to the manufacturer’s instructions prior to commissioning. Thereafter, calibration should be carried out periodically based on stability performance — typically every 2 to 5 years — in order to meet accuracy requirements set by green building certification standards.<\/p>\n

Some high-quality CO\u2082 sensors<\/strong><\/a> feature automatic baseline calibration (ABC), which allows the device to self-correct for drift using the lowest measured CO\u2082 value recorded during unoccupied nighttime periods as a reference point. However, in 24-hour occupied environments (such as hospitals or airports), or in areas with elevated ambient outdoor CO\u2082 levels, the ABC function should be used with caution. In such cases, manual calibration is recommended to maintain measurement accuracy.<\/p>\n

System Integration and Commissioning<\/strong><\/p>\n

CO\u2082 sensors only deliver their intended function when integrated with ventilation control equipment. Therefore, during implementation, sensors must be connected to the Building Management System (BMS) or directly interfaced with fresh air units or HVAC controllers. Traditional analogue-output sensors can transmit concentration values via signal wiring to the HVAC DDC (Direct Digital Controller), which in turn adjusts ventilation dampers accordingly.An increasing number of new-generation products support wireless networking, transmitting data to cloud platforms or local gateways, which can then be subscribed to by the control system. This Internet of Things (IoT) approach offers high deployment flexibility and eliminates the need for rewiring, greatly reducing retrofit costs.<\/p>\n

When deploying DCV (Demand-Controlled Ventilation) strategies, appropriate CO\u2082 control thresholds or curves should be set based on space usage. In standard office areas, the target CO\u2082 level is typically set around 800\u202fppm; once this threshold is exceeded, the system gradually increases fresh air supply. For large halls or lecture theatres with fluctuating occupancy, an upper limit of 1000\u202fppm may be used, with damper openings adjusted proportionally beforehand to maintain CO\u2082 near the setpoint.It is important to note that regardless of sensor control logic, the system must always maintain at least the minimum baseline outdoor air volume — for example, no less than 10 cubic metres of fresh air per person per hour, or as defined by ASHRAE Standard 62.1. This is because pollutants such as VOCs emitted from building materials also require dilution. If ventilation is cut entirely during unoccupied periods based solely on CO\u2082 readings, these other pollutants may accumulate.<\/p>\n

Moreover, in certain areas designed primarily for chemical or process exhaust — such as laboratory fume hoods or multifunctional printing rooms — ventilation should not be controlled solely by CO\u2082 concentration. These spaces require dedicated ventilation control methods, though CO\u2082-based DCV may still be applied in adjacent general-purpose office zones, following a context-specific, zoned approach.<\/p>\n

Finally, once implementation is complete, comprehensive testing and air balancing should be carried out. It is necessary to verify that the CO\u2082 sensor readings correspond accurately to actual conditions. If needed, comparative measurements can be performed using a portable calibration instrument. Simulated high-occupancy scenarios should also be tested to check whether the HVAC system responds in a timely manner — for example, introducing test CO\u2082 gas into a meeting room to confirm whether the fresh air damper opens automatically.<\/p>\n

In addition, third-party monitoring tools, such as independent data loggers, may be installed to assess the performance of the control strategy. During the initial operational period, it is recommended to continuously observe the CO\u2082 trend and fine-tune the control parameters as needed based on real-world data.<\/p>\n

Future Development Trends<\/strong><\/p>\n

The application of CO\u2082 sensing technology in intelligent buildings is expected to deepen and expand further, particularly through integration with emerging digital technologies. This will drive building environmental control into a more advanced stage of development. The following trends are especially worth noting:<\/p>\n

1. Multi-Sensor Integration and Proactive Intelligent Control<\/strong>In the future, standalone CO\u2082 sensing will be combined with other environmental parameters such as PM2.5, VOCs, carbon monoxide (CO), temperature, humidity, and noise, forming multi-sensor fusion systems. These integrated platforms will provide a more comprehensive and accurate assessment of indoor air quality.<\/p>\n

2. Artificial Intelligence and Big Data Optimisation<\/strong>With the collection of large volumes of real-time sensor data, artificial intelligence (AI) and machine learning can be leveraged for more refined analysis and prediction of building environmental performance. AI algorithms can learn the relationship between CO\u2082 concentration and HVAC behaviour under different weather conditions and usage patterns, identify the optimal control parameters, and continuously self-adjust in real time.<\/p>\n

3. Higher Performance and Lower-Cost Sensing Technologies<\/strong>Advances in sensor hardware — including new materials and manufacturing processes — are expected to yield next-generation CO\u2082 sensors with significantly enhanced performance. For instance, micro-electro-mechanical systems (MEMS) technology is being applied to NDIR sensors, dramatically reducing size and power consumption, and enabling long-term, battery-powered operation without maintenance. Improvements in optical components and infrared light sources will further enhance measurement accuracy and response speed, allowing sensors to detect subtle CO\u2082 fluctuations within minutes of room occupancy changes. In terms of cost, with increased production scale and intensified market competition, the price of CO\u2082 sensors is expected to decrease significantly — potentially reaching the sub-£10 (or sub-¥100) range for certain modules.<\/p>\n

4. Policy-Driven Adoption and Growing Public Awareness<\/strong>Another emerging trend involves the introduction of more stringent regulatory standards, requiring building operators to disclose and manage indoor CO\u2082 and other air quality metrics. International discussions have already begun calling for mandatory IAQ regulation, akin to the legal frameworks governing outdoor air quality. Once quantitative thresholds are mandated — for example, stipulating that the annual average CO\u2082 level in office environments must not exceed 800\u202fppm — the widespread adoption of CO\u2082 sensors will be greatly accelerated.In parallel, green finance and insurance mechanisms may exert additional influence. Buildings that can demonstrate robust IAQ monitoring and ventilation control systems may qualify for preferential loan interest rates or lower insurance premiums, serving as further market incentives. On the public awareness front, the post-pandemic era has ushered in a long-term concern for indoor air quality. Buildings such as offices and schools that offer real-time CO\u2082 dashboards or mobile app access for occupants will likely gain a competitive edge in attracting tenants and users.<\/p>\n

Summary<\/strong><\/p>\n

The critical role of CO\u2082 sensors in intelligent buildings is becoming increasingly evident. This article has demonstrated — through a comprehensive analysis of energy efficiency, air quality, health, and economic benefits — the necessity and value of deploying CO\u2082 monitoring and demand-controlled ventilation (DCV) within HVAC Building Automation Systems.CO\u2082 sensing effectively addresses the inherent limitations of conventional constant air volume ventilation, enabling maximum energy savings while maintaining indoor air quality. It also provides strong support for green building certification and regulatory compliance, helping buildings meet higher standards of sustainability and occupant wellbeing. During public health challenges such as pandemics, CO\u2082 monitoring becomes a vital tool for protecting occupants from airborne pathogens.<\/p>\n

With proper technology selection and implementation, investment in CO\u2082 sensing systems offers not only rapid returns but also long-term economic and social value. Looking ahead, as sensor technology advances and costs continue to fall, CO\u2082 sensors are expected to become a standard sensing component in intelligent buildings — just like thermostats are today. Powered by artificial intelligence and the Internet of Things (IoT), multi-parameter adaptive environmental control — based on CO\u2082 and other indicators — will drive buildings towards becoming healthier, more efficient, and more sustainable. This transformation will elevate conventional buildings into truly “thinking and breathing” smart spaces, achieving a dual enhancement in both indoor environmental quality and energy utilisation efficiency.<\/p>\n

About Us<\/strong><\/p>\n

EURsense LTD is actively developing the direction of supplying gas sensor modules and sensors from the world’s leading manufacturers. We’ve been providing solutions to the problems of industrial safety,ambient environmental air quality detection and power & Civil industry over 20 years.<\/p>\n

Media Contact<\/span>
Company Name:<\/strong> EURsense LTD<\/a>
Contact Person:<\/strong> Media Relations
Email:<\/strong> Send Email<\/a>
Country:<\/strong> China
Website:<\/strong> https:\/\/www.eursense.com\/<\/a><\/p>\n

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