Telematics is transforming business operations and customer engagement. Companies that manage fleets can use fleet telematics to collect real-time information such as vehicle behavior, fuel usage, speed, mileage, and driver insights to increase productivity, reduce expenses, and improve safety.
TenPi’s IoT solutions for telematics and fleet management gives you real-time information about vehicle operation to:
Optimize routes and increase productivity.
Control fuel costs.
Reduce operational expenses.
Improve driver safety.
Increase fleet security.
Remotely diagnose maintenance requirements.
1. Connected car systems monitoring
2. Smart driving assistance
3. Cloud-based infotainment solutions
4. Automated emergency management
5. Real-time fleet management
6. Driver safety systems
7. Optimized logistics
6. Predictive maintenance
In addition to making fleet operations safer and more cost effective, telematics enables new services that can significantly impact customer satisfaction:
1. Rental car companies use vehicle telematics to provide enhanced customer service and faster emergency response.
2. Insurance providers use vehicle telematics data to analyze driving patterns, encourage safe driving, and reward customers with lower premiums for good driving behavior.
3. Car manufacturers also use telematics to offer remote diagnostic and safety services for the lifetime of a vehicle and to build better relationships with their customers.
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What is Precision Farming?
Precision Agriculture is an approach to farm management that uses information technology (IT) to ensure that the crops and soil receive exactly what they need for optimum health and productivity. The goal of Precision Agriculture is to ensure profitability, sustainability and protection of the environment. Precision Agriculture is also known as satellite agriculture, as-needed farming and site-specific crop management (SSCM).
Precision agriculture relies upon specialized equipment, software and IT services. The approach includes accessing real-time data about the conditions of the crops, soil and ambient air, along with other relevant information such as hyper-local weather predictions, labor costs and equipment availability. Predictive analytics software uses the data to provide farmers with guidance about crop rotation, optimal planting times, harvesting times and soil management.
At a basic level, precision agriculture can include simple practices such as field scouting and the spot application of pesticides. However, precision agriculture usually brings to mind complex, intensely managed production systems using global positioning system (GPS) technology to spatially reference soil, water, yield, and other data for the variable rate application of agricultural inputs within a field. Research is ongoing to develop or improve yield monitoring methods and equipment, determine economic and environmental impacts of variable rate application of agricultural inputs, and use remotely sensed data to make management recommendations. Many farmers think that precision agriculture will allow them to achieve uniform production over their farm. In reality, the goal of precision agriculture should be to optimize inputs for agricultural production according to the capability of the land. Precision agriculture methods help farmers recognize areas that have productivity and environmental problems and to select the best solution for each one. At the extreme, precision agriculture may help a producer identify land that should be taken out of the current production system because of economic and environmental considerations.
How does Precision Farming help?
1. Monitoring the soil and plan physicochemical parameters: by placing sensors (electrical conductivity, nitrates, temperature, evapotranspiration, radiation, leaf and soil moisture, etc.) the optimal conditions for plant growth can be achieved.
2. Obtaining data in real time: the application of sensing devices in the fields will allow a continuous monitoring of the chosen parameters and will offer real time data ensuring an updated status of the field and plant parameters at all time.
3. Automating field management: by incorporating a Decision Support System (DSS) in the farm’s Precision Agriculture environment the best conditions for the specific soil and plant species will be automatically optimized based on the data obtained by the sensors. The DSS will suggest the best moment for watering (or whether there is need or not), the need to irrigate to wash the salt content due to an excess in the radicular area, the need to fertilize, etc.
4. Saving time and costs: by introducing a Precision Agriculture system in the daily operation of an agricultural exploitation time is saved due to the on-line measurement methods. Data from the sensors is automatically transmitted to a central server and this can be consulted using a Smartphone or Laptop. Or even, email or SMS alerts can be programmed to notify the field owner when there is a need to irrigate, fertilize or address any issue in their properties. Moreover, costs in terms of water, pesticides and others are optimized and can easily be reduced.
5. Improving brand image: By using Precision Agriculture technology, not only the yield and profits will be increased but also the perception of the general public and Public Administration (through Smart Agriculture and environmental care) towards the farmers’ activity will be enhanced.
In the United States it has been reported that thousands of pellets of temperature sensitive pharmaceuticals are wasted each year in transit, as the temperature conditions violates the safety standards of the drugs thus causing changes in the molecular dynamics of the drugs which have reverse effects on the patients consuming the drug.
The growing use of sensors on the production floor has enabled the aggregation of data over multiple departments and across manufacturing plants distributed globally. Referred to as the Internet of Things for Pharmaceutical Manufacturing (IoT-PM), this has the power to radically change how pharmaceutical manufacturing plants operate. It allows manufacturing activities to be supervised from any location at any point of time. Real-time monitoring enables minimizing waste, increasing equipment utilization, and lowering production costs.
Some of the applications for IoT in the pharmaceutical manufacturing and supply chains include:
• Smart serialization through AIDC (Automatic Identification and Data Capturing), which involves automatically identifying objects, collecting information and feeding it into the computer system, all done sans human involvement.
• Real-time logistics visibility using RFID (Radio Frequency Identification) & sensors to capture and report parameters.
• Smart warehousing and routing.
• Predictive maintenance of machines & equipment.
• Customized Medicine.
• 3D Printed Drugs.
2) Surveillance at Manufacturing house:
Pharmaceuticals packaging is critical to ensuring products quality. Companies must follow strict guidelines for determining the way a drug is transported, administered, and consumed. Smart pharma packaging can help ensure that shipments and medications are accurately tracked, and that the supply chain remains fluid,efficient and cost-effective.
Tools such as automated guided vehicles, RFID tracking, sorting and process-flow tracking enabled the company to ensure consistent batch production. This will give the company real-time visibility into their manufacturing operations, increasing productivity and improving the bottom-line.
3) Smart packing of the pharmaceuticals:
The product offers smart packaging, asset tracking, and counterfeit protection. End-to-end asset tracking through Smart pack ensures the product isn’t tampered with in transit from the manufacturer to the patient. This offers the manufacturer the ability to mitigate reputational risks, ensuring cost savings by averting lawsuits.
IoT Adoption (Challenges faced)
To fully capitalize on the potential of the Internet of Things and enjoy the benefits throughout their value chain, pharma companies must first invest in a supportive IoT infrastructure with the capacity needed to handle heavy-duty requirements. Since security is paramount, companies must also be prepared to invest in IoT-based security solutions.
Another hurdle pertains to the availability and suitability of manufacturing equipment to modify and validate IoT solutions. Balancing project requirements with commercial supply needs and key performance indicators (KPIs) for gauging operational efficiency can be overwhelming. The IoT solution may require validation if its purpose is to support GMP best practices. This could extend project timelines and efforts.
Pharma companies must view their IoT investments from the standpoint of fostering innovation, heightening efficiencies, improving processes and operational performance, and adding more value for the business, its suppliers, and its customers. By adhering to IoT best practices and learning from others that have successfully implemented IoT platforms and solutions, pharmaceuticals companies can be better prepared to face the growing demands of today’s hyper-competitive, hyper-connected global economy.
Investing in transformational technologies has its own set of challenges. Following are our recommendations and best practices for implementing and benefiting from the Internet of Things.
• Think big, start small, fail fast, scale quickly. This is critical; IoT investments in sensors and network capacity for data management can be huge, and it can take time to realize the returns.
• Choose the most compelling application/ solution with the highest potential business value for the first implementation.
• Bring key decision makers on board; define success criteria early in the project lifecycle.
• Perform pilots; establish business benefits through a proof-of-concept (PoC).
• Employ agile methodologies for proof-of concept implementations to realize tangible benefits from greater user interactions, with the flexibility to customize solutions in a structured way.
• Augment your team with a suitable partner that offers a dedicated infrastructure and facilities, plus expert industry and technology teams focused on integrating various skill sets to effect digital transformation across the implementation lifecycle.
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