Advantages of the sensor to cloud monitoring solution

Sensor-to-cloud monitoring solution uses wireless sensor networks to capture, process, and reserve data in the cloud, permitting all users to access the data. They are used in many applications to collect and process critical operational data. The use of sensor-to-cloud systems includes 

  • Utility management
  • Machine monitoring
  • level monitoring
  • parking management
  • Energy management 

Sensor-to-cloud systems help enterprises by facilitating, revving, and automating sensor data control.


A sensor-to-cloud system merges wireless sensor networks and the cloud, extending the ability of standard networks for computing, storage, communication, and scalability.

A network of self-regulated sensors commonly operated in industrial and building applications monitor space for elements such as temperature, Humidity, pressure, vibration, proximity, and movement. Gateways then shorten and transmit this data to the cloud, where it gets decompressed and stored in the server. The sensor network contains the information, and complicated functions like data analysis and processing are also transmitted to the cloud, lessening the load on sensor networks and expediting processing time.

This sensor network consists of three layers. 

Physical layer 

This layer consists of physical sensors that collect data. Sensor Modeling Language uses XML encoding for physical sensors to implement across multiple hardware and platforms with minimal human effort.

Virtual layer

In this layer, all physical sensors are virtualized on a cloud computing platform so that users can control their physical sensors. Virtual sensors equip real-time data from their physical partners.

User interface layer

Users can view virtual sensor data sent to the cloud. Cloud computing allows data access by multiple users, potentially across numerous organizations and over different networks and OS. Users can organize data and sensors with a web-based Dashboard.

Advantages of Sensor-to-cloud systems

Sensor-cloud systems optimize sensor data management by using the cloud to collect, access, visualize, analyze, store and share large amounts of data from multiple sensors. They enhance the data management procedure by diminishing human interference. Users can explore and operate on sensor data without worrying about execution, as the cloud will automatically feed services when users send a request. Automation has grown efficiency while reducing cost and service delivery time.

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Drive `revived income creeks and efficiencies with actionable data using sensor-to-cloud solutions.


Sensors collect, process, and interpret data in real time, aiding you in making smarter decisions quickly. Users can more efficiently explore large amounts of data from multiple sensor networks with sensor-cloud monitoring systems. Massive cloud storage gives you access to historical data to track trends and measure improvement.


Because the cloud has an ample routing infrastructure, sensor networks grow at much larger scales. As enterprises grow and need more resources, they’ll be able to mount their sensor infrastructure with their firm without investing in new hardware. Also, sensor-to-cloud monitoring methods improve data repositories rather than physical computer systems, enabling growing companies to store more data as they develop without spending time and money on new hardware.


The cloud allows multiple parties to access data from any location, encouraging greater collaboration. Considerable physical sensor networks portray data on the cloud, making significant quantities of data readily available.


As part of sensor-to-cloud monitoring, a visualization API represents charts based on sensor data, authorizing workers to create a sense of detailed data from multiple sensors in a network. You’ll be able to diagnose present data conventions that could have otherwise gone unrecognized to anticipate future trends.


Automation is a crucial objective of the IoT, dramatically improving productivity by delivering more rapid delivery times. In the past, workers physically controlled sensors. Automation simplifies the sensor monitoring procedure, as sensor-to-cloud lets, you grab and research data automatically. If problems arise, the system will notify the necessary individual.


While ex-computing procedures need hardware, sensor-to-cloud systems supply better flexibility, as you’ll be capable of using more applications to manage sensors and skillfully communicate resources and data with others across the globe via the cloud.


Several service providers can combine numerous services via the cloud, allowing access to data from different origins. Although others who do not have the permit to your data cannot witness it, all data consistently run on the same server.


WSN can also be used for security, noticing actions to control unauthorized access and transmitting an alert to the cloud. Door sensors detect open doors, command locking mechanisms, and even activate alarms. Window sensors operate like door sensors but frequently monitor the temperature to optimize energy consumption. Finally, motion sensors can communicate an alarm or call the authority to keep spaces like warehouses or artifacts at museums safe.


Cloud infrastructure helps with more influential computing and storage capability without the actual hardware expense. Also, you’ll be capable of monitoring devices and making the required rehabilitation before they evolve too pricey.


One of the essential edges of wireless sensors is that they are fast and easy to establish. The technology will instantly start gathering data and transmitting it to the cloud once connected to the asset.

The Constant Growth OF Sensor to cloud methods

Like how sensor technology has developed to become wireless, sensor-to-cloud methods are continually improving for enhanced capabilities and security. Coming enhancements include:

  • Developed applications: Future developments in WSN technology will forge sensor applications for underwater acoustic techniques, cognitive sensing, and instances where the period is critical.
  • Artificial intelligence and machine learning: Combining artificial intelligence (AI) and machine learning (ML) with sensor-to-cloud systems to expedite data collection and monitoring via further mechanization.
  • Improved security: Some individuals have raised safety problems with WSNs and cloud computing. Forthcoming developments will preserve the integrity of nodes to ensure that damages don’t compromise the system. Experimenters propose a three-layer data storage scheme to improve future security.

BridgeThings is the top manufacturer of Long Range Wide Area Network (LoRaWAN®) sensors for Internet of Things (IoT) systems in India and worldwide. Our long-range and low-cost sensors have an impressive battery life to monitor temperature, Humidity, movement, air quality, and water leaks. Contact us today to learn more about our wireless sensor solutions.

How do sensors play a role in the IoT business?

Distinct species of applications claim various sorts of sensors to collect data from the environment. This article takes a look at some standard IoT sensors.

In an IoT ecosystem, two elements are essential: the Internet and physical devices like sensors and actuators. As shown in Fig. 1, the bottom panel of the IoT system consists of sensor connectivity and a network to gather information. This layer is a vital part of the IoT system and has network connectivity to the next gateway and network.

Iot artchitecture layers
IoT architecture layers(Image Courtesy:

The principal idea of sensors is to gather data from the surrounding environment. Sensors, or ‘things’ of the IoT system, form the front end. These are united directly or indirectly to IoT networks after signal conversion and processing. But all sensors are not equivalent, and different IoT applications require different types of sensors. For instance, digital sensors are straightforward and easy to interface with a microcontroller using a Serial Peripheral Interface (SPI) bus. But for analog sensors, either an analog-to-digital converter (ADC) or Sigma-Delta modulator is used to convert the data into SPI output.

Standard Type of Sensors 

Temperature sensors 

Temperature sensors
Temperature sensors

Sensor devices measure the amount of heat energy produced from an object or surrounding area. It uses in air conditioners, refrigerators, and similar appliances used for environmental control. They operate in manufacturing processes, agriculture, and the health industry.

Temperature sensors can be practiced almost in each IoT environment, from manufacturing to agriculture. In production, sensors monitor the heat of machines. In agriculture, these can use to observe the temperature of the soil, water, and plants.

Temperature sensors involve thermistors, thermocouples, resistor temperature detectors (RTDs), and integrated circuits (ICs). Some common types of temperature sensors.

Humidity sensors

Humidity sensor
humidity sensors

Water vapor in the air, or humidity, can influence human comfort and numerous production processes in industries. So monitoring liquidity level is essential. The most commonly used units for humidity analysis are relative humidity (RH), dew/frost point (D/F PT), and parts per million (PPM).

Motion sensors

motion sensor
Motion sensor

Motion sensors are used for security purposes and in energy management systems, automated parking systems, hand dryers, automated toiler flushers, automated sinks, and automated door controls. You can use these sensors in IoT and Monitoring from your web dashboard or smartphone. 

Gas sensor

Gas sensor
Gas sensors

Gas sensors use to recognize toxic gases. The sensing technologies use in semiconductors, photo-ionization, and electrochemical. With scientific progress and new specs, various gas sensors extend the wired and wireless connectivity deployed in IoT applications.

Smoke sensor

smoke sensor
smoke sensor

Smoke detectors have been in use in industries and homes for quite a long time. With the arrival of the IoT, their applicability has become more comfortable and user-friendly. Moreover, adding a wireless connection to smoke detectors permits additional features that enhance security and support.

Pressure sensor

pressure sensor
Pressure sensor

These sensors are utilized in IoT systems to watch systems and tools that drive by pressure signals. When the pressure scale surpasses the threshold level, the device informs the user about the fixable obstacles. Industrial pressure sensors are suitable for compressors, manufacturing, automation, hydraulics, utilities, Agriculture, HVAC.

Proximity sensors

proximity sensor
Proximity sensor

Sensors recognize the appearance or lack of a nearby object without any substantial contact. Various proximity sensors are Ultrasonic, inductive, capacitive, photoelectric, and magnetic. These sensors use in the monitoring process and control object counters.

How IoT Temperature Sensors Better Your Profits and Reduce Risk

In today’s business conditions, maximizing efficiency is crucial. From the factory floor to the customer’s entrance and throughout the supply chain, assuring your products appear on time and demand is necessary to consumer retention—and profitability. IoT Temperature sensors are an important representative in this effort, as it provides directions for the business to monitor everything from machine function to logistics. Such visibility enables companies to in-time decisions, streamline processes, and delight customers at scale. While this might seem like a complicated undertaking, the technology is highly accessible and cost-effective, opening new roads for risk loss and a greater level of control over just about every process.



Wireless temperature sensors are a part of industrial IoT that can leverage numerous ways to obtain maximum profitability and diminish the risk of damage. 

A few of the usual everyday use cases for temp sensors include:

  • Restaurants
  • Residential, Commercial, and Institutional Buildings
  • Factories
  • Warehousing
  • Manufacturing
  • Oil and Gas
  • Water Services

With the capacity to watch the temperature in these settings, workers(Engineers, Supervisors, managers, operators) avoid machine failures, spoilage and lessen risk caused by temperature variations. 

Industrial Use Cases

In industrial environments, temp sensors play different roles. They are a part of machine function optimization. They also help watch the facility’s ambient temperature, which can be a highly significant concern, depending on the enterprise and product.

Common Industry use cases for temp sensors cover:

  • Refrigerators. Keep an optimal storage temperature range and prevent freezing.
  • Boilers. Sensors will intimate leaks and protecting failure.
  • HVAC. Temp sensors assist operators in monitoring systems for breakage, leaks, and energy loss.
  • Electrical. Heat spikes in electrical operations are an ancestor to significant safety risks. 
  • IT. Computers and servers will fail and break if overheated.

Securing Optimal Machine Function in Manufacturing

In manufacturing, temperature variations are an indicator of machine overload, power surges, or total failures – any of which have the potential to obstruct the supply chain, decay profit margins, and produce a ripple effect of customer discontent.

Monitoring temperatures at the machine level assistant to factory operators in many ways:

  • Optimize Management Time. Real-time alerts provide supervisors to react quickly, diminishing time wasted on manual monitoring and enable them to focus on higher-value tasks.
  • Improve Worker Safety. Taking machines offline before they malfunction increases worker safety.
  • Reduce Maintenance Costs. Temperature sensors reduce unnecessary maintenance calls.

Smart Building Applications

Today’s most effective buildings rely on IoT sensors for various functions, and temperature control is among the top concern. With the ability to watch and control the temperature in different spaces—like apartments, offices, hospitals, it is possible to decrease heating and cooling expenses and optimize the building’s energy usage. 

The business that manages massive complexes, like universities, shopping malls, data centers, storage facilities, or multiple buildings obtains a distinct advantage from temp sensors. With a remotely monitored solution, it is easy to centralize and analyze error and control of everything from comfort to safety, even if the facilities are located on the other side of the world.

With the ability to identify temperature variations and system failure, companies can decrease costs related to daily operations, operation failure, incapable machine function, maintenance, repair, occupant comfort and safety, and injury due to temperature variation. 

HOW BRIDGEThings Helps

BridgeThings offers a range of wireless temperature sensors to accommodate every commercial and industrial need. Our sensors fit indoor and outdoor use, and the wireless signal can even penetrate through walls and floors. 

Signals can trigger when the temperature rises or falls below configured thresholds and sends a notification to your managers in real-time, based on your settings. Best of all, managing and observing your temp sensors is easy as your data is centralized into a single pane of glass, optimizing your time and helping you maximize value throughout the organization. 

If you would like to learn more about wireless temp sensors and how they can help you, reach out today. We’d love to show you what’s possible.