Introduction

A leading OEM in the floor cleaning machine industry faced challenges managing their fleet across diverse locations efficiently.

The Problem Outline

The client needed a solution to address operational inefficiencies caused by a lack of real-time tracking and unreliable maintenance schedules. They aimed to improve fleet management, optimize maintenance efforts, and enhance customer service by providing actionable insights into machine performance.

The Solution Summary

To validate the effectiveness of their IoT solution, Trinetra Tsense initiated a pilot program at Bangalore Airport. They equipped two-floor cleaning machines with IoT devices that tracked critical performance metrics. These metrics included machine location, idling time, running time and battery levels.

The data collected underwent rigorous validation to ensure accuracy and reliability before Trinetra Tsense considered a wider implementation.

Results

• Improved Operational Efficiency: Real-time tracking and detailed usage data enabled better fleet management, reducing idle time and improving overall efficiency.
• Predictive Maintenance: Accurate data on machine usage and battery levels facilitated predictive maintenance, minimizing downtime and extending machine lifespan.
• Enhanced Customer Service: Customers gained insights into machine performance, enabling proactive equipment management and enhancing satisfaction.
• Scalability and Cost Savings: The scalable solution allowed gradual deployment across the entire fleet, optimizing operations and reducing costs through data-driven decision-making

Trinetra Tsense’s IoT solution revolutionized floor cleaning machine management, using real-time data and predictive analytics to shift from reactive to proactive operations, significantly improving efficiency, maintenance predictability, and customer satisfaction for industrial OEMs.

Imagine a construction site where cranes operate flawlessly, handling materials efficiently and safely. Our advanced Crane Load Monitoring System eliminates costly downtime, reduces accidents, and enables smarter, faster decisions—all in real-time. Boost productivity, save time, and cut costs to stay ahead in the competition.

Key Challenges Solved:

Inefficient material handling often delays construction projects. Our system uses GPS sensors for real-time crane tracking, ensuring precise placement, reducing unnecessary movement, and accelerating productivity.

Optimize for Efficiency and Savings:

Centralized real-time monitoring minimizes duplicate checks and lost hours. Our Remote Crane Monitoring Solution streamlines operations, saving time and money while improving project outcomes.

Make Data-Driven Decisions:

AI-powered analytics detect potential issues early, preventing breakdowns and reducing downtime. This system empowers construction managers with actionable insights for smarter, timely decisions.

Reduce Operator Strain with Automation:

Our system automates critical tasks like load monitoring, reducing physical strain on operators and enhancing safety. It minimizes human error, improving efficiency and reliability.

Why Upgrade Now?

Stay competitive with real-time GPS tracking, predictive maintenance, and advanced analytics. This isn’t just a technology investment; it’s a step toward future-proofing your operations.

What Sets Us Apart

• Data-Driven Insights: Real-time data aids faster, better decisions.
• Dedicated Expertise: Tailored solutions maximize value.

Key Benefits

• Safety: Real-time alerts and load indicators prevent accidents.
• Savings: Predictive maintenance reduces repair costs and downtime.
• Productivity: Streamlined processes boost efficiency.
• Control: Comprehensive data improves project planning.

Our Crane Monitoring System transforms construction, enhancing safety, cutting costs, and boosting efficiency. Ready to elevate your operations? Let’s make it happen.

Introduction

The client, a renowned generator manufacturer and supplier for retail chain stores, operates across the entire country. Their objective was to outsource a remote generator monitoring system for their diesel generators, which are installed in diverse geographic locations.

The Problem Outline

The client wanted to monitor the multi-site locations of the end-customer’s generators. They needed a remote diagnostic tool to monitor the engine running hours and fuel level of each generator set. The proposed system should help them to know about maintenance details to improve productivity via remote monitoring and analytics. They wanted to add value to their product range and for product development with the data obtained from remote assets.

The Solution Summary

The IoT application for remote assets proposed, can instantly monitor critical parameters along with its trends, which is for making easy data-based (informed) decision making. The software application can monitor on 24×7 basis, in real-time, on the IoT platform provided by us. The benefits of the solution provided are:

• Time and Cost Saving for the company
• Value Addition by improved productivity
• Helps to know the trend of faults and improvement done
• Increase the machine health and reduce the maintenance which comes under warranty
• Time and Cost Saving for the company
• Performance of the assets easily analysed and reports compiled instantly

Outcome / Result

• Remote monitoring offers 24×7 visibility of assets on remote sites,
• Instant notification/alerts on abnormalities and hazards
• Remote monitoring of machine health increases uptime
• Helps in better energy/fuel management of assets for stakeholders
• Overall improved brand value and ensures customer retention

This customised automated IIoT solution when deployed runs on a single unified software platform which is cloud hosted. Equipped with purpose-based sensors, it remotely monitors various parameters within the generator monitoring system to generate data for remote diagnostics and analytics. It improves both product development for the OEM and post sales experience.

Introduction

Our client, a prominent player in the manufacturing industry with a focus on cold forming machines, faced significant challenges in monitoring and maintaining their complex machines. These machines, ranging from mono-layer to 7-layer extruders, are each equipped with multiple Variable Frequency Drives (VDSs) and four Programmable Logic Controllers (PLCs). Dissatisfied with their existing IoT solution, they sought a more reliable monitoring solution, specifically tailored for their industry.

The Problem Outline

• Multifaceted Machinery: The client operated various extruder machines, each with its unique complexity, making real-time monitoring a challenge.
• Size & Complexity: The sheer size and intricacy of the machines, coupled with multiple VDSs, posed difficulties in monitoring and maintenance.
• Automation Requirements: With four PLCs in each machine, the client required an automated monitoring system to streamline operations and reduce manual intervention.
• Unsatisfactory IoT Solution: The client’s existing IoT solution couldn’t meet expectations, prompting the need for a more reliable alternative solution.
• Predictive Maintenance: The client wanted a solution c offering predictive maintenance and comprehensive data gathering for informed decision-making.
• Customized Reports: Industry-specific customized productivity reports were essential for the client to optimize their operations effectively.

The Solution Summary

• Data-Driven Decision Making: Our IoT solution provided real-time remote monitoring of critical parameters, enabling data-driven decision-making for timely interventions.
• Improved Machine Quality & Lifetime: By analyzing machine performance in real-time, the solution contributes to enhancing machine quality and extending their operational lifespan.
• Trend Analysis for Faults & Improvement: The system facilitated trend analysis, allowing the client to identify patterns of faults and areas for improvement.
• Timely Reporting: Reports, which previously took weeks to compile, were generated within minutes, offering quick insights into asset performance.
• Real-time Monitoring: The solution allowed the client to monitor each machine’s running, and idling, providing a comprehensive view of asset health.

Results

• Enhanced Asset Performance: The performance of the assets significantly improved, allowing the client to proactively address potential issues.
• Reduced Customer Complaints: Customer complaints related to machine performance decreased, contributing to higher customer satisfaction.
• Elevated Brand Value: The overall brand value of the client improved as a result of optimized machine performance and reduced downtime.
• Improved Asset Visibility: The client gained improved visibility over their assets, leading to better control and management.
• Time and Cost Savings: The implementation of the IoT solution resulted in notable time and cost savings for the client.

In conclusion, the successful deployment of Trinetra’s data-driven IoT solution effectively addressed the client’s need for remote machine monitoring in manufacturing,

Introduction

In a rapidly changing telecommunications environment, our client, a leading satellite services subsidiary, pioneers innovative IoT solutions for the telecom sector. They serve diverse clients, with a specific focus on end customers utilizing generators in remote locations like construction sites and mines. Using satellite communication, our IoT solution significantly transforms their operations.

The Problem Outline

The client’s pain points were twofold. First, they needed to monitor critical parameters and obtain data on the DG sets, including temperature, oil level, vibration and RPM, which is to ensure the machines’ optimal performance. Second, they wanted to improve the quality and lifetime of the DG sets by gaining insights into their performance, faults, and trends. They were in search of a comprehensive IoT solution tailored to their needs.

The Solution Summary

To tackle these challenges, our client turned to Trinetra Gateway, a highly capable IoT solution designed to integrate with various makes and models of DG sets, with a particular focus on Cummins, Kirloskar and Deep Sea Electronics. This solution empowered our client to tap into the full potential of IoT in the telecom industry. This innovative solution enabled the real-time monitoring of essential data, such as running hours, electrical parameters and fuel consumption, through a user-friendly application compatible with mobile devices.

Our generator monitoring system incorporated a data-driven approach, leveraging domain experts and solution experts to provide valuable insights to the business. It facilitated the quick analysis of asset performance and the generation of reports, a process that previously took weeks. It also allowed for the monitoring of machine running, idling and charging status, empowering our client’s customers to make timely and informed decisions.

Results

• Improved Asset Performance: By closely monitoring temperature, oil levels, vibration, and RPM, the client’s customers saw a noticeable improvement in DG set performance.
• Reduced Customer Complaints: The proactive monitoring of critical parameters led to a decrease in customer complaints related to asset failures and downtime.
• Enhanced Brand Value: The ability to provide reliable and uninterrupted power solutions boosted the overall brand value of our client, solidifying their position as a pioneer in offering IoT solutions for the telecom industry.
• Ensured Customer Retention: Satisfied customers, thanks to the improved performance of their DG sets, resulted in higher customer retention rates.
• Improved Visibility over Assets: The ability to monitor DG set parameters in real-time provided our client’s customers with enhanced visibility over their assets, further emphasizing the role of IoT in the telecom sector.
• Time and Cost Savings: Quick and efficient data analysis translated into significant time and cost savings, making the IoT solution highly cost-effective for our client.

Through the implementation of an IoT solution, our client effectively addressed the challenges of optimizing asset performance and reducing customer complaints. Our comprehensive solution provided enhanced visibility, cost savings and an undeniable competitive edge for the client in the swiftly evolving technological landscape

Introduction

Trinetra tSense, a leading IoT solutions provider, was approached by a prominent manufacturing company in the cleaning industry. The company’s Vice Chairman sought a dependable solution to tackle the issues related to monitoring and managing their extensive fleet of cleaning equipment.

The Problem Outline

The manufacturing company faced several challenges, including the need to remotely monitor the location, running hours, and usage level of their diverse range of cleaning equipment, which included scrubbers, vacuums, and rider models. They aimed to enhance their services to end clients through real-time monitoring and reporting. Although they had a well-established CRM and ERP system, they required a specialized hardware and API solution to seamlessly integrate with their existing systems.

The Solution Summary

Understanding the client’s unique requirements, Trinetra tSense proposed a GPS Tracking & Fleet Management solution tailored to their needs. The solution included IoT hardware devices capable of accurately tracking the location, operational hours, and usage patterns of each cleaning equipment unit. Trinetra tSense provided a comprehensive API support package, enabling seamless integration with the client’s existing CRM and ERP systems.
To cater to the client’s preference for developing their own software, Trinetra focused on delivering robust hardware and data collection capabilities. The solution was adaptable to both battery-operated and diesel-operated equipment, encompassing the client’s entire fleet.

Outcome / Result

• Real-time Visibility: Vice Chairman gained real-time insight into fleet’s location, usage patterns, and maintenance needs.
• Proactive Decision-Making: Enabled efficient resource allocation and proactive decision-making.
• Enhanced Customer Service: Accurate equipment status and usage information improved customer service.
• Operational Efficiency: Significant enhancement in operational efficiency achieved.
• Software Development Leverage: Company utilized its software development capabilities due to hardware and API support.
• Deployment Goals Met: Successfully deployed 1000 to 3000 devices annually for their machines.
• Industry Leadership: Strengthened the company’s position as an industry leader in the cleaning equipment segment.

Our tailored IoT solution empowered the manufacturing company to overcome their challenges and achieve operational excellence in managing their cleaning equipment fleet. The successful collaboration showcased the power of IoT technology in addressing specific industry pain points and delivering impactful solutions. We offer our clients customisable IIoT solutions hosted on a single unified software platform.

Introduction

The client that approached us is a reputed caffeine manufacturer with customers spread all over the country with Pan-India operations. They were looking at outsourcing a remote machine monitoring system with IoT tech for their manufacturing unit.

Business Requirements

The client wanted visibility on their machines’ production and also downtime when it occurs. Another pain point of the client was unaware if their machines are running overtime and at what RPM. If RPM is not maintained the quality of the powder from grinding the coffee beans will be affected and they needed to monitor that aspect of their machinery.

The client also needed to know how the employees are handling the machinery like the centrifuge and dryers, which is a grey area for them. They also required remote diagnostic tools and data to plan and schedule maintenance for all the heavy-duty machines that they were not able to do presently.

The Solution Summary

We at Trinetra TSense were able to provide a solution to the client with our cloud-based machine monitoring system which will make it convenient for them to monitor different parameters that are required by the client. The web-based asset monitoring and management platform can show the current values of parameters of each machine or group of machines used in the manufacturing of caffeine. The IoT application can instantly monitor critical parameters and its trends, making it easy for data-driven (informed) decision-making. The IoT based application can monitor on 24×7 basis, in real-time, hosted on the IoT platform provided by tSense.

Benefits

• Improved productivity and uptime
• Finds the trend of both faults and improvement
• Trigger alerts and notifications on fault identification
• Increases machine health and reduces the maintenance cost
• Performance of machines analysed and reports compiled in minutes.
• Monitoring can record the hours a machine has been operated, stopped or is idle.
• High visibility on utilisation of the machines helps to maintain quality of the caffeine powder
• Can automate manual process and improve the efficiency of machines.

Outcome / Result

• Remote monitoring of machine health improves uptime and productivity
• Remote monitoring gives 24×7 visibility of assets/machinery, even at remote locations
• Instant notification/alerts on set limits, abnormalities and hazards to prevent downtime
• Helps in better energy/fuel management of assets for stakeholders
• Overall improved quality, value addition and ensures customer satisfaction

We offer our clients customisable IIoT solutions hosted on a single unified software platform. Dedicated sensors monitor the various parameters to generate data for remote diagnostics and data analytics. Contact us for more details on IIoT solutions.

Introduction

A reputed leather manufacturer sought an asset monitoring system to track factory machines, control costs, and boost productivity.

The Problem Outline

Our technical team visited the client to assess IoT implementation for their diverse leather manufacturing machines. They needed a remote diagnostic tool for machine health, usage, and maintenance insights to boost productivity.

Key focus areas included monitoring Hot Pressing Machines, Screw Air Compressors, and Wet & Dry Finishing Drums, along with tracking electricity consumption to cut costs. Previously, they analyzed production line performance but lacked machine-specific data. They required real-time monitoring of machine status (ON/OFF) to optimize efficiency.

The Solution Summary

Our cloud-based IoT solution enables seamless machine monitoring across locations, providing infrastructure insights for an enhanced digital experience. The web-based platform tracks real-time parameters, offering visibility and performance evaluation over time.

With IoT devices, power consumption in production lines is easily monitored. The system continuously tracks critical parameters and trends, empowering managers with data-driven decisions. Running 24×7 on Trinetra Tsense’s IoT platform, it ensures real-time monitoring and operational efficiency:

• Know your assets performance in real-time
• Finds the trend in faults and discrepancies
• Increases machine health and reduces the maintenance cost
• Overall Cost Savings for the unit in power and resources
• Performance of machines analysed and reports generated immediately.
• Value Addition to improve productivity

Outcome / Result

• Remote monitoring gives 24×7 visibility of assets at remote locations
• Instant notification/alerts on abnormalities and hazards
• Remote monitoring of machine health increases uptime and productivity
• Helps in better energy management of assets for company
• Overall improved machine performance

Our cloud-hosted IIoT solution uses purpose-built sensors to monitor key parameters, enabling remote diagnostics and analytics. This enhances machine performance and boosts manufacturing productivity.

Introduction

The client is a reputed manufacturer of ATM machines and other automated equipment with a large client list and wide service network that spans the whole country. As a reputed OEM with an esteemed band name, they wish offer value addition to their products

The Problem Outline

The client wanted to add value to their range of ATM machines which were being supplied to major client across the nation. They wanted a solution for the remote monitoring of ATMs. The following were identified as their pain points.

• They need to monitor the location of the ATM machines in real time (with GPS tech)
• The ATM users want to know the nearest ATM via the mobile app
• Quick TAT for any faults improves customer experience
• Continuous surveillance for security reasons

The Solution Summary

The application we offered can instantly monitor critical parameters along with its trends for easy data-based (informed) decision making. The software application will run on 24×7 basis and in real-time on the IoT platform provided by us. The benefits of the solution provided are:

• Client can monitor location of the ATM machine online
• Decreases security hazards by monitoring in real-time
• Help to know the trend of faults and improvement done
• Increase the machine health and reduce the maintenance which comes under warranty
• Time and Cost Saving for the company
• Performance of the assets easily analysed and reports compiled instantly

Outcome / Result

• Remote surveillance offers 24×7 visibility on remote sites, identifies abnormalities and access
• Instant notification on abnormalities and hazards
• Monitor on-site movement of service personnel.
• Remote monitoring of machine health
• Helps in energy management of assets.

We Check feasibility and do a Proof of Concept to help the client to decide. This customised automated IIoT solution when deployed runs on a single unified software platform which is cloud hosted. Purpose based sensors monitor numerous parameters remotely to generate data for remote diagnostics and analytics. It improves product development for the OEM, improving post sales experience.

Introduction

Renowned manufacturer, supplier and exporter of drilling rig machines which finds application across segments. They wanted to industrial IOT and offer Rig machines integrated with IOT technology to deliver enhanced customer service, improve decision-making and increase the value of the business.

The Problem Outline

Client faced challenge in monitoring the equipment availability, not knowing maintenance details upfront that lead to downtime and significant productivity loss. They were in need of Industrial IOT technology solution to automate the vital health monitoring process, predict failure points and improve productivity by carrying out planned maintenance activities efficiently.

The Solution Summary

We replaced their legacy methods and offered them IOT technology solution, to continuously monitor their critical rig equipment and improve diagnostics accuracy. Telematics system was set up to monitor Engine Operation Parameters and collect significant data to determine the effectiveness, efficiency of drilling. This advanced sensing technology enabled them to enable preventive maintenance and thereby avoid equipment breakdown failures.

Features that meet customer demands

• Sensors fetched equipment’s health data and displayed informative insights
• Increased operational efficiency through condition monitoring
• Reduced operational costs through preventive maintenance
• Enabled them to Predict malfunctions and schedule service maintenance ahead

Now client can monitor machine running time, fuel consumption during idling, Optimal & overload mode, and vibration status of the machine easily, analyse various reports compiled within minutes, which previously took weeks. Utilizing machine data with respect to fuel consumption, engine operation parameters they reduced break down costs, saved drilling time and ultimately helped improve operation efficiency.

Want Asset health monitoring solution for your drilling rigs or need to know in detail? Leave an enquiry to find out more.