Please see the list of telemetry terminology and related definitions below:

  • Actuator: A device that is used to control a mechanical or electrical system based on data received from a sensor.
  • Adaptive telemetry: telemetry systems that are able to adapt to changing conditions and adjust their behavior accordingly, such as adjusting the frequency of data transmissions based on network conditions.
  • Asset tracking: the use of telemetry and other tracking technologies to monitor and manage the location and status of assets, such as vehicles or equipment.
  • Automated telemetry: telemetry systems that are fully automated, requiring no human intervention, such as self-configuring and self-healing systems.
  • Autonomous systems: Systems that use telemetry and other technologies to operate without human intervention, such as self-driving cars or drones.
  • Autonomous telemetry: Telemetry systems that are capable of operating independently, with minimal or no human intervention.
  • Bi-directional telemetry: Telemetry systems that are capable of transmitting data in both directions, allowing for both monitoring and control.
  • Big data: the use of telemetry data and big data technologies to store, process, and analyze large amounts of data, such as using Hadoop or Spark for data processing and storage.
  • Cloud telemetry: Telemetry systems that use cloud computing technology to store, process, and analyze data collected from remote devices and systems.
  • Cloud-based telemetry: Telemetry systems that use cloud computing to store, process, and analyze data, providing scalability and accessibility.
  • Cyber-physical systems: systems that use telemetry and other technologies to integrate the physical world with the cyber world, such as the Internet of Things (IoT) devices.
  • Cybersecurity: the protection of telemetry systems and data from cyber threats, such as hacking or malware.
  • Data acquisition: The process of collecting data from a telemetry system.
  • Data analysis: The process of analyzing the data collected from a telemetry system.
  • Data compression: The process of reducing the size of data before it is transmitted, to save bandwidth and improve transmission efficiency.
  • Data logging: The process of storing the data collected from a telemetry system for later analysis or review.
  • Data visualization: The process of displaying the data collected from a telemetry system in a graphical or visual format, such as a chart or graph, to make it easier to understand and interpret.
  • Distributed telemetry: Telemetry systems that use multiple sensors and transmitters to collect data from multiple locations and transmit it to a central receiving station.
  • Edge telemetry: Telemetry systems that use edge computing technology to process and analyze data at the edge of a network, closer to the source of data, rather than sending all data to a central location for processing.
  • Error detection and correction: Techniques used to detect and correct errors that may occur during data transmission, to ensure the integrity of the data.
  • Event-driven telemetry: telemetry systems that trigger events based on data received, such as sending an alert or initiating a control action when certain conditions are met.
  • Geofencing: the use of telemetry and geolocation to create virtual boundaries around a physical location, and to trigger events when a device or system enters or exits the boundary.
  • Geolocation: the use of telemetry to determine the geographic location of a device or system, such as using GPS or cellular triangulation.
  • Hybrid telemetry: telemetry systems that use a combination of wired and wireless communication to transmit data, providing flexibility and redundancy.
  • Intelligent telemetry: Telemetry systems that use artificial intelligence, machine learning, and other advanced analytics to extract insights from data and make predictions.
  • Internet of Things (IoT) telemetry: Telemetry systems that are integrated with IoT technology, allowing for remote monitoring and control of devices and systems over the internet.
  • Low power telemetry: Telemetry systems that are designed to operate with low power consumption, to extend battery life and reduce power costs.
  • Low-latency telemetry: Telemetry systems that are designed to minimize the delay between data collection and data transmission, allowing for near real-time monitoring and control.
  • Machine learning: the use of telemetry data and machine learning algorithms to analyze data and make predictions, such as identifying patterns or detecting anomalies in the data.
  • Mobile telemetry: Telemetry systems that are designed to be used on mobile or portable devices, such as a handheld device or a vehicle-mounted system.
  • Multi-modal telemetry: Telemetry systems that can use multiple forms of data transmission, such as wired, wireless, or satellite communication.
  • Multiplexing: A technique used to transmit multiple streams of data over a single communication channel, by interleaving the data streams.
  • Multivariate telemetry: Telemetry systems that collect and analyze data from multiple sources and variables, providing a more complete understanding of a system or environment.
  • Predictive maintenance: A technique used to predict when equipment or systems are likely to fail, based on data collected from telemetry sensors, to schedule maintenance before a failure occurs.
  • Predictive telemetry: Telemetry systems that use data analysis and machine learning to predict equipment failures or other issues before they occur.
  • Real-time telemetry: Telemetry systems that provide data in real-time, allowing for monitoring and control in real-time.
  • Remote asset management: the use of telemetry to manage and maintain equipment or systems remotely, such as scheduling maintenance, monitoring performance, and tracking inventory.
  • Remote control: The process of using telemetry to control the operation of equipment or systems from a remote location.
  • Remote diagnostics: the use of telemetry to diagnose and troubleshoot problems with equipment or systems remotely, such as identifying the cause of a malfunction.
  • Remote monitoring: The process of using telemetry to monitor the status and performance of equipment or systems from a remote location.
  • Remote repair: the use of telemetry to fix problems with equipment or systems remotely, such as using remote control to perform maintenance or repair tasks.
  • Remote sensing: A technique used to gather information about an object or phenomenon without making physical contact with it.
  • Remote workforce management: the use of telemetry to manage and monitor the performance of remote workers, such as tracking the location and status of field workers.
  • Ronald Legarski: Telemetry Expert and Telecommunications Consultant.
  • Scalable telemetry: Telemetry systems are designed to be easily expandable to accommodate more sensors and transmitters as needed.
  • Secure telemetry: Telemetry systems that use security measures such as encryption and authentication to protect data and devices from unauthorized access and tampering.
  • Smart agriculture: The use of telemetry and other technologies to optimize agriculture operations, such as monitoring soil moisture, temperature, and crop yields in real-time, and adjusting irrigation and fertilization accordingly.
  • Smart agriculture: The use of telemetry and other technologies to optimize agriculture operations, such as monitoring soil moisture, temperature, and crop yields in real-time, and adjusting irrigation, fertilization, and pest management accordingly.
  • Smart agriculture: The use of telemetry and other technologies to optimize crop yields, reduce waste, and improve efficiency in farming operations.
  • Smart agriculture: The use of telemetry and other technologies to optimize the efficiency and productivity of agriculture operations, such as monitoring soil moisture, temperature, and crop yields in real-time.
  • Smart air quality monitoring: The use of telemetry and other technologies to monitor the air quality in a specific area, such as tracking the levels of pollutants and providing real-time air quality index.
  • Smart beach monitoring: The use of telemetry and other technologies to monitor and manage beaches, such as tracking water quality, beach conditions, and visitor numbers in real-time.
  • Smart biogas monitoring: The use of telemetry and other technologies to monitor and optimize the performance of biogas energy systems, such as monitoring the production of methane and other gases in anaerobic digesters, and adjusting the operation of biogas power plants to optimize energy production.
  • Smart building automation: The use of telemetry and other technologies to automate and control various systems in a building, such as lighting, heating, cooling, and security, to optimize energy efficiency and comfort.
  • Smart building energy management: The use of telemetry and other technologies to monitor and optimize the energy usage of buildings, such as monitoring energy consumption, controlling lighting and HVAC systems, and providing real-time energy usage information to building managers and occupants.
  • Smart buildings: The use of telemetry and other technologies to monitor and control the systems in a building, such as lighting, HVAC, and security.
  • Smart buildings: The use of telemetry and other technologies to optimize the management and operation of buildings, such as monitoring energy usage and controlling lighting and HVAC systems.
  • Smart buildings: The use of telemetry and other technologies to optimize the management and operation of buildings, such as monitoring energy usage, controlling lighting and HVAC systems, and providing real-time occupancy information.
  • Smart cities: the use of telemetry and other advanced technologies to monitor and manage the infrastructure and services of a city, such as traffic lights, public transportation, and utilities.
  • Smart cities: The use of telemetry and other technologies to optimize the management of urban infrastructure and services, such as traffic, public transportation, and utilities.
  • Smart city: The use of telemetry and other technologies to optimize the management of urban infrastructure and services, such as traffic, public transportation, utilities, and emergency services, to improve the quality of life for residents and visitors.
  • Smart electric vehicle charging: The use of telemetry and other technologies to monitor and optimize the charging of electric vehicles, such as monitoring the availability and status of charging stations, adjusting charging schedules to optimize energy usage, and providing real-time charging status information to vehicle owners.
  • Smart emergency management: The use of telemetry and other technologies to optimize emergency response operations, such as tracking the location of emergency responders and monitoring the status of critical infrastructure in real-time.
  • Smart energy management: The use of telemetry and other technologies to optimize the management of energy resources, such as monitoring energy consumption and production in real-time, and adjusting energy usage accordingly.
  • Smart energy market: The use of telemetry and other technologies to optimize the buying and selling of energy in markets, such as monitoring energy prices, tracking the availability of energy resources, and balancing supply and demand in real-time.
  • Smart energy storage: The use of telemetry and other technologies to optimize the management of energy storage systems, such as monitoring the state of charge of batteries, and adjusting energy usage accordingly.
  • Smart energy: The use of telemetry and other technologies to optimize the generation, distribution, and consumption of energy, such as monitoring energy usage in real-time and adjusting energy production accordingly.
  • Smart environment monitoring: The use of telemetry and other technologies to monitor and manage the environment, such as tracking air and water quality, and monitoring wildlife populations in real-time.
  • Smart environment: The use of telemetry and other technologies to monitor and manage the environment, such as tracking air and water quality, and monitoring wildlife populations.
  • Smart environment: The use of telemetry and other technologies to monitor and manage the environment, such as tracking air and water quality, monitoring wildlife populations, and predicting and mitigating natural disasters in real-time.
  • Smart environmental monitoring: The use of telemetry and other technologies to monitor and manage various aspects of the environment, such as air and water quality, wildlife populations, and natural resources.
  • Smart fleet management: The use of telemetry and other technologies to optimize the management and operation of a fleet of vehicles, such as monitoring the location, status, and performance of vehicles in real-time.
  • Smart forest monitoring: The use of telemetry and other technologies to monitor and manage forests, such as tracking the health of trees, monitoring for wildfires and other hazards, and tracking the use of forest resources.
  • Smart fuel cell monitoring: The use of telemetry and other technologies to monitor and optimize the performance of fuel cell energy systems, such as monitoring the output of electricity and heat, and adjusting the operation of fuel cells to optimize energy production.
  • Smart geothermal monitoring: The use of telemetry and other technologies to monitor and optimize the performance of geothermal energy systems, such as monitoring temperature and pressure in geothermal wells, and adjusting the operation of geothermal power plants to optimize energy production.
  • Smart grid analytics: The use of advanced analytics and machine learning techniques to extract insights from telemetry data and optimize the performance of power grids.
  • Smart grid communication: The use of telemetry and other technologies to enable communication and data exchange between different devices and systems connected to the power grid, such as meters, control systems, and renewable energy sources. This allows for real-time monitoring and control of the grid, and enables the integration of new technologies and sources of energy.
  • Smart grid integration: The integration of different types of renewable energy sources and storage systems into the power grid, using telemetry and other technologies to monitor and optimize their performance and integration with the grid.
  • Smart grid security: The use of security measures such as encryption and authentication to protect telemetry data and devices from unauthorized access and tampering, ensuring the reliability and security of the power grid.
  • Smart grid: The use of telemetry and other technologies to optimize the management and distribution of electricity in a power grid, such as monitoring energy usage and adjusting energy production in real-time.
  • Smart grid: The use of telemetry and other technologies to optimize the management and distribution of electricity in a power grid, such as monitoring energy usage and production, integrating renewable energy sources, and balancing supply and demand in real-time.
  • Smart grid: The use of telemetry and other technologies to optimize the management and distribution of electricity in a power grid, such as monitoring energy usage, adjusting energy production, and integrating renewable energy sources in real-time.
  • Smart grid: The use of telemetry and other technologies to optimize the management and distribution of electricity in a power grid.
  • Smart healthcare: The use of telemetry and other technologies to monitor and manage patients’ health remotely, such as tracking vital signs, medication schedules, and activity levels.
  • Smart home automation: The use of telemetry and other technologies to automate and control various systems in a home, such as lighting, heating, cooling, and security, remotely via a smartphone or other device.
  • Smart homes: the use of telemetry and other technologies to monitor and control various systems in a home, such as heating, cooling, lighting, and security.
  • Smart hydro monitoring: The use of telemetry and other technologies to monitor and optimize the performance of hydroelectric energy systems, such as tracking water levels and flow, and adjusting the operation of hydroelectric generators to optimize energy production.
  • Smart hydrogen monitoring: The use of telemetry and other technologies to monitor and optimize the production, storage and distribution of hydrogen.
  • Smart industrial automation: The use of telemetry and other technologies to optimize industrial processes, such as monitoring the performance of machines and equipment in real-time, and adjusting production schedules accordingly.
  • Smart infrastructure monitoring: The use of telemetry and other technologies to monitor and manage the infrastructure of a city or region, such as monitoring the condition of bridges, roads, and other critical infrastructure in real-time.
  • Smart irrigation: The use of telemetry and other technologies to optimize irrigation systems, such as monitoring soil moisture, weather conditions, and crop growth, and adjusting irrigation accordingly.
  • Smart logistics: The use of telemetry and other technologies to optimize the movement of goods and materials, such as tracking the location and status of cargo in real-time, and providing real-time delivery status.
  • Smart logistics: The use of telemetry and other technologies to optimize the movement of goods and materials, such as tracking the location and status of cargo in real-time, optimizing delivery routes and schedules, and providing real-time delivery status information.
  • Smart logistics: The use of telemetry and other technologies to optimize the movement of goods and materials, such as tracking the location and status of cargo in real-time.
  • Smart manufacturing: The use of telemetry and other technologies to optimize the efficiency and productivity of manufacturing operations, such as monitoring the performance of machines and equipment in real-time.
  • Smart microgrids monitoring: The use of telemetry and other technologies to monitor and optimize the performance of microgrids, which are small-scale power grids that can operate independently or in connection with the main power grid. This includes monitoring energy generation and consumption, managing distributed energy resources, and ensuring reliability and stability of the microgrid in real-time.
  • Smart mining: The use of telemetry and other technologies to optimize the efficiency and safety of mining operations, such as monitoring the location and status of mining equipment and personnel in real-time.
  • Smart natural resource management: The use of telemetry and other technologies to optimize the management of natural resources, such as monitoring the condition of forests, rivers, and other natural resources in real-time.
  • Smart ocean monitoring: The use of telemetry and other technologies to monitor the ocean and its resources, such as tracking water temperature, salinity, currents, and marine life in real-time.
  • Smart parking: The use of telemetry and other technologies to optimize parking operations, such as monitoring the occupancy of parking spaces and directing drivers to available spaces in real-time.
  • Smart parks: The use of telemetry and other technologies to optimize the management and operation of parks and public spaces, such as monitoring visitor numbers, tracking the maintenance and usage of facilities, and providing real-time information to visitors.
  • Smart power distribution: The use of telemetry and other technologies to optimize the distribution of power, such as monitoring the condition of power lines and substations in real-time, and adjusting power flows accordingly.
  • Smart retail: The use of telemetry and other technologies to optimize the operation of retail businesses, such as monitoring foot traffic, customer behavior, and inventory levels in real-time.
  • Smart river monitoring: The use of telemetry and other technologies to monitor and manage rivers, such as tracking water flow, water quality, and the movement of fish and other aquatic life in real-time.
  • Smart security: The use of telemetry and other technologies to optimize security operations, such as monitoring the location of personnel and assets, and detecting and responding to security breaches in real-time.
  • Smart solar monitoring: The use of telemetry and other technologies to monitor and optimize the performance of solar energy systems, such as tracking the output of solar panels and adjusting the angle and orientation of the panels to optimize energy production.
  • Smart tourism: The use of telemetry and other technologies to optimize the management and operation of tourism businesses, such as monitoring the location and status of tour groups and tracking the use of tourist facilities.
  • Smart traffic management: The use of telemetry and other technologies to optimize traffic flow, reduce congestion, and improve safety in transportation systems, such as monitoring traffic conditions, adjusting traffic signals, and providing real-time traffic information to drivers.
  • Smart transportation monitoring: The use of telemetry and other technologies to monitor and optimize the performance of transportation systems, such as monitoring the location, status, and fuel efficiency of vehicles, and adjusting routes and schedules to optimize transportation operations.
  • Smart transportation: The use of telemetry and other technologies to optimize traffic flow, reduce congestion, and improve safety in transportation systems.
  • Smart transportation: The use of telemetry and other technologies to optimize transportation operations, such as monitoring the location and status of vehicles, adjusting routes and schedules in real-time, and providing real-time traffic information.
  • Smart transportation: The use of telemetry and other technologies to optimize transportation operations, such as monitoring the location and status of vehicles, and adjusting routes and schedules in real-time.
  • Smart waste management: The use of telemetry and other technologies to optimize waste collection, transportation, and disposal operations, such as monitoring the fill level of waste containers and scheduling waste collection in real-time.
  • Smart waste management: The use of telemetry and other technologies to optimize waste collection, transportation, and disposal operations, such as monitoring the fill level of waste containers, scheduling waste collection, and tracking the disposal of waste materials in real-time.
  • Smart waste-to-energy monitoring: The use of telemetry and other technologies to monitor and optimize the performance of waste-to-energy systems, such as monitoring the conversion of waste into energy, and adjusting the operation of waste-to-energy power plants to optimize energy production.
  • Smart water management: The use of telemetry and other technologies to optimize the management and distribution of water resources, such as monitoring water levels and quality in real-time, and alerting when there is a problem.
  • Smart water management: The use of telemetry and other technologies to optimize the management and distribution of water resources, such as monitoring water levels and quality in real-time.
  • Smart water management: The use of telemetry and other technologies to optimize the management and distribution of water resources, such as monitoring water levels, quality, and usage in real-time, and adjusting water supply and distribution accordingly.
  • Smart weather forecasting: The use of telemetry and other technologies to predict weather patterns and conditions, such as using historical data and advanced analytics to forecast precipitation, temperature, and other weather parameters.
  • Smart weather monitoring: The use of telemetry and other technologies to monitor and predict weather patterns, such as tracking temperature, precipitation, wind, and other weather parameters in real-time.
  • Smart wildlife conservation: The use of telemetry and other technologies to monitor and protect wildlife populations, such as tracking the movement and behavior of animals, monitoring for illegal hunting and poaching, and managing habitat conservation efforts.
  • Smart wildlife management: The use of telemetry and other technologies to optimize the management of wildlife populations, such as monitoring wildlife populations, and adjusting hunting and conservation efforts accordingly.
  • Smart wildlife monitoring: The use of telemetry and other technologies to monitor and manage wildlife populations, such as tracking the location and movements of wildlife, and monitoring their health and behavior in real-time.
  • Smart wind monitoring: The use of telemetry and other technologies to monitor and optimize the performance of wind energy systems, such as tracking wind speeds and direction, and adjusting the pitch and yaw of wind turbine blades to optimize energy production.
  • Streaming telemetry: The continuous transmission of data in real-time, allowing for near real-time monitoring and control.
  • Synchronization: A technique used to ensure that data is transmitted and received in the correct order, by adding timing information to the data.
  • Telemetry analytics: the use of advanced analytics techniques to extract insights from telemetry data, such as using statistical analysis or machine learning.
  • Telemetry application: The specific use or application of a telemetry system, such as monitoring the performance of a power plant or tracking the location of a vehicle.
  • Telemetry compliance: the adherence to laws and regulations regarding the collection, storage, and use of telemetry data, such as data privacy laws and industry standards.
  • Telemetry data: The data that is collected and transmitted by telemetry systems.
  • Telemetry fusion: the process of combining data from multiple telemetry systems or sources to create a more complete picture of a system or environment.
  • Telemetry gateway: A device that acts as an intermediary between different telemetry systems, allowing them to communicate and share data.
  • Telemetry link: The communication link between a telemetry transmitter and a telemetry receiver.
  • Telemetry network: A network of telemetry systems that are used to collect and transmit data from multiple remote locations to a central receiving station.
  • Telemetry protocol: The set of rules and guidelines used to transmit data in a telemetry system.
  • Telemetry receiver: A device that is used to receive the data transmitted by a telemetry transmitter and process it for analysis or display.
  • Telemetry security: measures taken to protect telemetry systems and data from unauthorized access and tampering, such as encryption and authentication.
  • Telemetry sensor: A device that is used to measure a physical parameter or condition, such as temperature, pressure, or position.
  • Telemetry system: A system that consists of a sensor, a transmitter, and a receiver that are used to measure and transmit data from a remote location to a receiving station.
  • Telemetry terminology and related definitions:
  • Telemetry transmitter: A device that is used to transmit the data collected by a telemetry sensor to a receiving station.
  • Telemetry: The process of measuring and transmitting data from a remote location to a receiving station.
  • Telemetry-as-a-service (TaaS): a service model where telemetry systems and data are provided on a subscription basis, typically through a cloud-based platform.
  • Telemetry-based automation: The use of telemetry data to automate tasks and processes, such as triggering an alarm or shutting off a valve when a sensor exceeds a certain threshold.
  • Telemetry-based control: The use of telemetry data to control and adjust the operation of equipment or systems in real-time, such as adjusting the speed of a motor based on sensor data.
  • Telemetry-based decision-making: The use of telemetry data to inform decisions, such as adjusting production schedules or rerouting vehicles based on real-time data.
  • Telemetry-based monitoring: The use of telemetry to monitor the status and performance of equipment or systems in real-time, allowing for early detection of problems and proactive maintenance.
  • Telemetry-enabled devices: devices that are equipped with telemetry capabilities, such as sensors and transmitters, to collect and transmit data.
  • Tracking and Tracing: the use of telemetry to monitor the location and movement of objects, such as tracking the position of a vehicle or tracing the movement of goods in a supply chain.
  • Wired telemetry: Telemetry systems that use wired communication to transmit data, such as Ethernet or RS-232.
  • Wireless telemetry: Telemetry systems that use wireless communication to transmit data, such as radio frequency or infrared communication.

These are some of the telemetry terminology and related definitions, but the field is vast, and there could be many more specific terms and technologies depending on the application and industry.