Month: September 2022

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.

Find Your Sensor-to-Cloud Solution

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.

Case study: Maximizing Water Efficiency in Industries through Groundwater Level Monitoring

About Customer

Our Client provides environmental services and solutions to industries and government bodies. They offer various services, including environmental assessments, site remediation, hazardous waste management, and air and water quality testing. They also provide support for environmental compliance and sustainability initiatives. Their goal is to help clients reduce their environmental impact and improve their overall environmental performance.

Project Requirement


Many industries depend on groundwater for their functions. Still, inadequate monitoring and management of groundwater levels can lead to depletion and contamination of this vital resource. Hence, our customers need to monitor the Groundwater level parameters (level, temperature, barometric pressure, and pressure) as per the CWGA Guidelines.

Traditional groundwater monitoring methods often involve wired sensors and data transmission systems, which can be expensive and labor-intensive to install and maintain.

BT Product

A groundwater level data logger is a device that measures and records groundwater levels over a while. It typically consists of a water level sensor, a data logger, and a power source.

The water level sensor is used to measure the groundwater’s depth below the surface. The data logger is used to store the data collected by the water level sensor and may also be able to process and transmit the data.
The power source is used to power the data logger and the water level sensor. It could be a battery, a solar panel, or an external power source.

Telemetry is the process of transmitting data from one location to another. It can be done using various technologies, such as Lorawan or  cellular. In groundwater level monitoring, telemetry can transmit data from the data logger to a central monitoring system.

By combining a groundwater level data logger with telemetry, industries can monitor groundwater levels in real time and collect data over long periods. This can be useful for understanding changes in groundwater levels and managing water resources sustainably.

Ground water level data logger and telemetry
Water level sensor and Ground water level data logger and telemetry

Proposed solution

We implemented a wireless groundwater level monitoring system using BridgeThings 4G RS485 transceivers and an IoT platform to address these challenges. The 4GRS485 transceiver is a wireless communication device that enables the transmission of data over long distances. The device is equipped with a 4G cellular modem to connect to the internet and transmit data to an IoT platform. On the other hand, the IoT platform is a cloud-based platform that enables collecting, storing, and analyzing data from various sensors and devices.

In this case study, the 4GRS485 transceiver was installed in various industries across India that use groundwater for their operations. Connected the device to a groundwater level sensor placed in the well or borehole. The sensor measured the groundwater level in real time and transmitted the data to the 4GRS485 transceiver. The transceiver then sent the data to the IoT platform, where it was stored and analyzed.

Out Come

    • It has allowed for real-time monitoring of groundwater level parameters.

    • the platform allowed for the data to be easily shared with relevant stakeholders

    •  Including the ability to track changes in groundwater levels over time 

    • It could alert operators if levels reach critical.



The use of wireless groundwater level monitoring with 4G RS485 transceivers and an IoT platform has proven to be an effective solution for industrial companies looking to monitor and manage the impacts of their water usage on the environment. It provides real-time data collection and analysis, reduces costs, and improves the accuracy and reliability