ESG-LOGGER-NRJ-2

ESG-LOGGER-NRJ-2

Products
ESG-LOGGER-NRJ-2
ESG-LOGGER-NRJ-2

Information

AUTONOMOUS ELECTRICITY CONSUMPTION MONITORING Use cases: * CONSUMPTION DISTRIBUTION Measurement of consumption for each energy item in your industrial facilities. Identification of major consumption items and distribution of usage over time. * PREVENTIVE MAINTENANCE Monitoring of electrical installations and alerts in the event of over-consumption and prevention in the event of machine shutdown. * METERING Simple, wireless monitoring of each metering point on a continuous basis and with an extended power measurement range. The settings can be adjusted locally or remotely, depending on the use case. Multiple measurements possible (phase or total) through simple configuration: energy, power, voltage, current, phase shift, etc. The ESG-Logger NRJ2 is available in 3 models: 0-90A —230V 50 Hz / 0-up to 4KA—1000V 50/60 Hz / 16A —230V 50 Hz (Model 2P) AVAILABLE OPTIONS: • External antenna to overcome radio propagation problems in electrical cabinets. • Specific sensors on request. • Customisation on request (case colour, labelling, specific business features)
Technical sheet
https://www.ineo-sense.com/iot-sensors/collect/esg-logger-nrj2
Technical document
https://exposant.gl-events.com/uploads/products/7d952e495df3dedee5ba138571e5b901.pdf
Nomenclature
AutomationDigitalizationEnvironmental solutionsWorkshop, factory, building, equipmentInstrumentation, analysis, measurement, control, visionMaintenance
Thématique
AutomatisationDigitalization/AIEnergiesProduction and maintenance
INEO-SENSE5V114Ineo-Sense designs and manufactures smart, wireless, autonomous sensors in France for industrial and tertiary environments. Committed to technological sovereignty, the company develops robust, scalable and secure IoT solutions designed to meet the most demanding operational requirements. Complete control of the value chain: Based in France, Ineo-Sense controls the entire development cycle: electronic design, firmware, radio integration, industrialisation and quality validation. This integrated approach guarantees reliability, traceability and the ability to adapt quickly to specific customer needs. Its sensors are designed to operate in challenging environments: industrial sites, critical infrastructure, logistics platforms and commercial buildings. They collect and transmit data that is essential for monitoring, predictive maintenance, energy optimisation and facility security. The aim is to transform field data into a concrete performance lever. The solutions are based on three technological pillars: - Embedded intelligence: each sensor processes data locally in order to filter useful information, reduce the volumes transmitted, optimise energy consumption and improve system responsiveness. - Multi-technology communication: compatibility with the main radio protocols (LoRaW, LTE-M, BLE, among others) for seamless integration into public, private or hybrid networks. This interoperability allows range, throughput, security and autonomy to be adapted to the constraints of each project. - Optimised energy autonomy: thanks to advanced energy management, low-power components and intelligent standby modes, the sensors offer a long service life, reducing interventions and total cost of ownership. *Integration and scalability The sensors can be easily integrated into IoT platforms, monitoring tools, building management systems, cloud solutions and data analysis systems. The open architecture facilitates the implementation of customised and scalable solutions tailored to business challenges: energy monitoring, asset tracking, environmental monitoring and process optimisation. *Quality and trust ISO 9001 and ISO 27001 certified, the company guarantees high standards of quality and information security. These standards structure risk management, data protection and continuous improvement, key elements in critical connected environments. A vision focused on IIoT: By supporting the digitalisation of industry and the service sector, Ineo-Sense helps to improve productivity, reduce operating costs, anticipate failures and enhance the security of facilities. ‘Bringing sense to wireless’