Introduction

The client is a leading industrial and warehousing park developer operating large-scale logistics and warehouse facilities across multiple locations.

Battery-operated pallet trucks, forklifts, and other material handling equipment are used daily for internal goods movement, requiring better monitoring, utilization tracking, and operational control.

Business Challenge

The client faced challenges such as:

• No real-time visibility of equipment inside warehouses
• Difficulty tracking run time, idle time, and usage patterns
• No battery status or charging cycle monitoring
• Inefficient equipment allocation across warehouse zones
• Manual dependency to identify underutilized assets
• No alerts for low battery or idle equipment

Business Requirement

The client required a smart BOPT Monitoring System to track equipment location, monitor utilization, capture battery status, generate alerts, and provide a centralized dashboard for data-driven warehouse operations.

Trinetra Solution

Trinetra deployed an IoT-based BOPT Monitoring System using BLE indoor tracking, telematics hardware, and real-time data transmission.

The solution enabled live tracking of BOPT, forklifts, and material handling equipment, along with battery monitoring, run-hour tracking, idle-time detection, and smart alerts.

Key Features

• BLE-based indoor equipment tracking
• Battery level and charging status monitoring
• Run time and idle time analysis
• Low battery and idle equipment alerts
• Centralized operations dashboard
• Equipment usage reports and productivity insights

Business Benefits

The BOPT Monitoring System helped the client achieve:

• Real-time visibility of warehouse equipment
• Improved equipment utilization
• Reduced idle time and downtime
• Better battery management
• Optimized equipment allocation
• Improved warehouse productivity
• Data-driven operational decision-making

Outcome

Trinetra’s BOPT Monitoring System enabled the client to gain better visibility, control, and efficiency in warehouse equipment operations. With real-time tracking, battery monitoring, utilization insights, and centralized dashboards, the client improved productivity and moved towards a smarter, data-driven warehouse ecosystem.

Introduction

The company is a manufacturer and supplier of hoist machines in India. Having vast experience in the hoist machine manufacturing sector, the company decided to integrate IoT technology in hoist machines to monitor their performance by various parameters in real-time. The company approached Trinetra Tsense to get trackers for hoist machines managed via a mobile app.

Challenges

• Creating safety work environment by alerting on safety norms and crossing critical limits such as motor overheating & machine overloading, etc.
• To provide statics reports on hoist machine operations such as the number of operating hours, start–stops, etc.
• To give real-time data on the life span of critical components and their current health status.
• Gather information on entire fleet maintenance performances.

Solutions

The client’s requirement was they want to create safe working environment for their hoist machine users. So they decide to have a software technology implementation on the hoist machines they manufacture that can rapidly give alerts to the users at the time of safety norms violations or crossing critical limits of overheating, overloading, etc.  Using overweight or unnecessary brakes in hoist can lead to damage of wear components or brake failure. Tsense supported the clients with a hoist remote monitoring system that significantly allows the gathering data of detailed information on abnormal usage situations which can help to identify issues and plan remediation.

The other benefit of the real-time hoist monitoring system is it provides the statics report on the history of machine operation such as the number of working hours based on the start & stop of the machine. Collect real-time data of critical components through various parameters to calculate their life span which supports predictive maintenance to avoid downtime of hoist machines. It also provides data on entire fleet performance to make customer billing easy.

Outcome / Result

• Easy monitoring of hoist machines to reduce overloading or overheating.
• Performance of the assets was easily analyzed and reports were compiled within minutes
• Start & Stop of hoist machine is monitored & handled easily.
• Predictive analysis can be performed by monitoring critical components.
• Data-driven approach for timely decision-making

Conclusion

By choosing the right IoT solution provider you can be a smarter and more efficient worker. To know more about hoist remote monitoring solution support leave us an enquiry, and we will reach you with more ideas and IoT solutions.

A leading company in the electric mobility and energy storage sector required an advanced Battery Management System (BMS) to enhance operational efficiency, battery lifespan, and safety. Their business involved deploying large volumes of lithium-ion battery packs in electric two-wheelers and fleet operations, necessitating real-time monitoring and predictive maintenance capabilities.

Business Requirement

The client required a robust and intelligent Battery Management Solution to:

• Monitor State of Charge (SoC) and State of Health (SoH) in real-time.
• Optimize battery performance and prevent premature degradation.
• Reduce downtime with predictive maintenance alerts.
• Enhance safety by detecting voltage fluctuations, overheating, and short circuits.
• Integrate seamlessly with fleet management platforms and IoT systems.

Challenges Faced:

• Lack of real-time battery insights, leading to unelxpected failures.
• Frequent battery swapping, making it difficult to track performance and history.
• Operational inefficiencies due to un-optimized charging and discharging cycles.
• Security risks like battery theft and unauthorized use.

Key Features of the Battery Management Solution:

Real-Time Monitoring:

1. 1. • Continuous tracking of battery voltage, temperature, and charge cycles.
      • Instant alerts for overheating, deep discharge, and overvoltage events.

Predictive Maintenance & Fault Detection:

1. 1. • AI-driven analytics to forecast potential failures.
      • Automated diagnostics logs for proactive servicing.

Cloud-Based Dashboard & IoT Integration:

1. 1. • Centralized platform for monitoring battery status across multiple locations.
      • Seamless integration with existing fleet management software via CAN, BLE, and 4G connectivity.

Security & Anti-Theft Measures:

1. 1. • Tamper alerts and GPS-based tracking for stolen batteries.
      • Restricted access and QR-code authentication for swapping stations.

Warranty & Lifecycle Management:

1. • Automated tracking of charge cycles and health degradation.
   • Predictive analytics to optimize warranty claims and replacement planning.

Key ROI Metrics

Solution Workflow

• Battery Data Acquisition: The BMS collects voltage, temperature, SoC, and cycle count data from battery cells.
• Cloud Synchronization: Data is transmitted via 4G/BLE to the cloud dashboard.
• Predictive Analysis & Alerts: AI models analyze patterns and send alerts for potential failures.
• User Dashboard & Reporting: Operators receive real-time insights, performance reports, and maintenance schedules.

Value Addition

• Fleet operators can optimize battery usage and prevent unexpected failures.
• Battery OEMs gain insights into cell performance for better manufacturing quality.
• End-users experience enhanced safety with fault detection and theft protection.
• Sustainability improvements by maximizing battery efficiency and also its reducing e-waste.

Conclusion

Our Battery Management Solution has enhanced efficiency, safety, and cost-effectiveness in managing lithium-ion batteries for electric mobility. With real-time monitoring, predictive maintenance, and cloud integration, it optimizes battery lifecycle, reduces downtime, and boosts ROI through intelligent, connected, and secure operations.

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

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.

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.

A leading OEM specializing in construction equipment such as backhoe loaders, with a strong domestic and international market presence. They required an integrated telematics solution to remotely monitor, control, and service their equipment to ensure optimal usage, timely maintenance, and financial compliance.

Duration of Implementation: 4 months
Deployment Scope: Global (Multiple Countries)

Solution Overview

A comprehensive IoT solution was deployed to enable:

• Real-time location tracking
• Engine utilization analysis (RPM, running hours, idling)
• Remote immobilization control
• Field service request triggering
• Seamless integration with J1939 CAN protocol
• Multi-user mobile application interface for OEMs, Dealers, and Customers

Business Requirement

The key goals included:

• Accurate location visibility of construction equipment for security and usage tracking
• Access to operational insights from CAN data (RPM, engine hours, fuel level)
• Ability to remotely immobilize equipment in case of financial defaults
• Enabling field personnel to raise real-time service requests from site
• Provide a mobile app and cloud platform to OEMs, customers, and dealers for actionable visibility

Solution Modules

Location Update Module:

• Real-time GPS tracking of vehicles integrated with map-based view.
• Location accuracy dependent on installation positioning.
• Captures and transmits: Latitude, Longitude, Altitude, Speed, and Timestamp.
• Updates pushed to server every 5 minutes.
• Logs are stored onboard and uploaded for historical analysis.
• Intelligent power management implemented to conserve battery life.

Remote Immobilization Control:

• Immobilization relay integrated via OEM wiring (provided by customer).
• Immobilization requests are triggered securely from the central application.
• Conditions for activation:
  • Ignition OFF / Vehicle not running.
  • No tamper alert detected on the device.
• Status verification is done when ignition is turned ON post-immobilization.
• Remote deactivation (de-immobilization) possible anytime via the application.
• Relies on cellular connectivity for command transmission.

      Assumptions:

• GPS and immobilizer hardware is installed by certified technicians.
• GSM/ESIM network required for command execution.

Field Service Trigger Module:

• A physical service switch is provided with the machine.
• When pressed, it triggers a high-priority alert to the central system.
• Device continuously monitors switch state and instantly sends an alert upon activation.
• Alerts are pushed to the relevant service team as per app configurations.
• Enables faster service dispatch and assistance to end-users in remote areas.

CAN Bus Data Capture (J1939):

• CAN communication via J1939 protocol for standardized OEM-level data capture.
• Device listens to CAN bus and transmits data to cloud server without modification.
• Captures include:
  • Engine Speed (RPM)
  • Engine Running Hours
  • Fuel Level
• More PGNs can be added as shared by OEM.
• Data is periodically sent in raw SPN format for backend decoding and analysis.

Value Addition

ROI & Key Benefits

The IoT solution enabled real-time tracking, CAN data capture, and remote control for heavy equipment, giving OEMs visibility, insights, and improved service. Its scalable design supports digital transformation and operational control for other OEMs.

Ensuring safety and security for your high value assets inside Container Bodies.

Smart Monitoring IoT system provides highly digitalized solutions on monitoring high value assets inside containers during transit.

Introduction

The client is a renowned Truck Body Building with a large clientele extending nation-wide. The specialise in building Container Bodies. They came up to us for a solution to monitor their containers during transit as value addition to their assets.

The Problem Outline

The client wanted a centralised solution or system to remotely monitor containers in transit. The company wanted monitor critical parameters on who and also when the opening and closing of the container is being done. So the software application should run 24×7 and accessible in real-time on the IoT platform by multiple users.

The Solution Summary

What the client needed was a single unified software to monitor all the parameters they felt important. The automated solution provided could know the current updates of container to ensure product security during transit and it not only saves time and improves security of assets, but to improves their Market Value and to be unique from the competitors. The solution also improves ROI for the clients. The system reduces Manual Intervention and improves security for all containers and its contents. The solution provided by tSense has overall improved the brand value and ensured product safety for the client.

The customised Modular Solution was made for monitoring and maintaining safety of goods inside containers. It Improved the centralized visibility, through the e-lock, door sensors and camera installed. The system can Connect all the 3rd party equipment to a Trinetra device for centralized monitoring of assets and generation of the data desired and critical for operations. It can be integrated with a fleet management system if need be. It provides Value Addition to improve productivity and performance for customers using the container service.

Outcome / Result

• OEM and Software built by in house developer matches customer requirements
• A tailor-made and customised solution, specific for your business
• Data-driven results and trends for timely, quick decision-making
• With domain expertise, the solution experts work closely to offer value addition to your business
• Expertise in 3rd party device integration
• The system offers expectation based monitoring & custom based reporting

Takeaways

• Improves visibility by 70%
• 60% reduction in theft, pilferage or unwanted wastages
• Improves product or asset safety during transit by 70%
• Know current status through automated process

Conclusion

The Original Equipment Manufacturer, in this case the container body builder, is provided a single unified software for all their needs. The automated solution to monitor parameters remotely in real time ensures also quick go-to-market advantage for customers.

Client testimonials

“Adopting an IoT enabled platform for our container monitoring system we got important value addition to our products, saved on go-to-market time and also costs. We are benefitted by the sensors and devices giving us alerts on parameters we specified which also provided visibility into failures or discrepancies that occurred.”

– Product Manager – B2C

Introduction

Trinetra tSense, was approached by a client who is a prominent player in the drilling rig industry, specializing in manufacturing and operating state-of-the-art drilling machines and mobile rigs. With a commitment to innovate and excel, they sought to enhance their operations and improve the longevity of their drilling rigs with an eye on better ROI.

The Problem Outline

The client faced several critical challenges in their drilling rig operations at various locations:

• Monitoring Complex Machine Parameters: They needed to closely monitor machine health via the temperature, oil level, vibration, and RPM of their drilling machines to ensure optimal performance and prevent unexpected breakdowns and costly downtime.
• Automation for Error Reduction: Human errors in monitoring and maintenance processes were causing costly disruptions and issues. The client required remote monitoring and an automated solution to mitigate these errors and ensure accuracy in operations.
• Optimization of Maintenance: To improve productivity and reduce downtime, the client needed data for a comprehensive understanding of maintenance requirements with scheduling and a way to predict and prevent faults and downtime.

The Solution Summary

Our IoT solution empowered with telematics technology provider stepped in with a remote machine monitoring system with data analytics tailored to cater to the drilling rig industry. Here’s how we addressed the client’s pain points:

• Comprehensive Data Monitoring: The implementation of sensors and IoT devices to monitor critical parameters such as temperature, oil level, vibration, RPM, and more provides real-time data on the health of drilling machines. This ensures optimal performance and minimizes unexpected breakdowns and costly downtime.
• Machine Performance Insights: Your data analytics system offers real-time insights into machine performance, enabling the client to optimize operations, increase productivity, and extend the operational lifetime of their drilling rigs.
• Predictive Analytics: By analyzing historical data, your IoT-based solution helps the client identify trends in faults, allowing for proactive maintenance and reducing downtime and maintenance costs. This predictive approach is essential for efficient and cost-effective operations.
• Better Security: The inclusion of features like fuel monitoring and location tracking adds an extra layer of security. This not only prevents fuel theft and misuse but also helps in tracking the location of mobile drilling rigs, ensuring their safety.

Result

The implementation of our remote machine monitoring system yielded notable results:

• Asset Performance Knowledge: The client gains a deep understanding of their drilling rig assets’ performance. This data-driven insight enables them to optimize maintenance schedules and reduce expenses related to warranties, leading to cost savings.
• Enhanced Brand Value: Improved machine quality and reliability enhance the client’s brand value, ensuring customer retention and loyalty. This can lead to increased market share and revenue.
• Better Operational Efficiency: Real-time monitoring and data analysis streamline operations, reducing labor costs and speeding up performance analysis and report generation. This efficiency improvement is crucial in a competitive industry.
• Real-time Monitoring & Security: The ability to monitor fuel consumption, machine vibration, machine hours, and location status in real-time allows for timely adjustments, improving overall operational efficiency and security.
• Data-Driven Decision Making: Embracing a data-driven approach for decision-making empowers the client to make more informed choices, plan effectively, and strategically invest resources where they are needed most.
• Expert Collaboration: Collaboration with your domain expertise and solution experts ensures that the client continues to receive value from your solution as their business evolves.

Trinetra’s IIoT solution and IoT platform not only addressed pressing challenges but also provided valuable insights, cost savings and improved asset performance, giving the client a competitive edge in the drilling rig industry. To harness the power of IoT in industrial operations, please contact us.

Introduction

The client is a major player in the transport and logistics industry, and they have a large fleet of electric vehicles deployed. They have ambitious growth plans and have approached us for an IoT software solution to improve productivity and efficiency by tracking and monitoring the electric vehicle fleets in real-time to solve some of the pain points and to scale up operations.

Business Requirements

The Trinetra team had a discussion with the client to identify the pain points that needed to be resolved. This also helped to decide on the customization needed in the IoT software we proposed for their EV fleet management. The client has about 31 EV trucks operating in four different locations. Each truck will have to transport the EV bikes from warehouse to warehouse within cities and the vehicles will be operated 24/7.

A few of the trucks are contracted vehicles, and the remaining are their own vehicles. The client was looking for a one-stop solution for managing all the trucks. The client needed to know the trips taken by each vehicle, when the trip started and ended. Stoppages for more than 10 minutes should trigger alerts to stakeholders in real-time. They required up-to-date info and real-time updates using the IoT fleet management software. The solution has to be integrated with their current system and had to track the vehicles being rented.

Trinetra Solution

The Trinetra IoT Fleet Management Platform uses technologies like GPS, IoT sensors, and data analytics to help companies become efficient and profitable by streamlining their fleet management, monitoring, and tracking operations. Real-time updates help decide on the shortest routes and get the driver’s location. The IoT fleet management software sends pop-up messages to stakeholders and offers trip updates. The Geo-fencing and other related features enable location-based alerts, non-compliance alerts, and help to enable a seamless vehicle journey.

The IoT technology used here helps in automating tasks for achieving better operational efficiency, safety, maintenance, and theft prevention, and helps to decrease instances of theft. It helps in drawing out EV charging plans for optimizing energy usage and timely charging of vehicles. This maximizes the reliability and stability of operations. The IoT fleet management system also generates various types of reports for fleet maintenance, tire management, etc. It helps gain insight into EV drivers’ behavior and energy consumption to optimize EV fleet management.

Benefits

• Monitor & Optimize energy management
• Optimize operations with visibility of over 30%
• High visibility on fleet movement with location tracking
• Managers get automated real-time alerts
• Keeps driver engaged for less violation on multiple aspects
• Fleet Management rules can be inducted and monitored as per requirement of the project
• Expectation based monitoring and event based reporting
• Evolving hardware and software updates