During transport or logistical operations, goods and their containers are subjected to various physical stresses, including shocks. Depending on their intensity, these shocks can damage the containers and their contents or render them unusable.
The globalization of trade and increasing pressure on delivery times have made freight transportation an increasingly demanding environment.
At every stage, loading docks, road transport, unloading, and warehouse handling, your products and their containers are exposed to mechanical stresses: vibrations, accidental shocks, sudden jolts...
Without precise monitoring, these events can go unnoticed, leading to irreversible damage, financial losses, and customer disputes.
Challenges in shock protection
Impact variability A light shock on a box of electronic components is not as serious as a fall of several dozen centimeters for fragile glass parts. Having precise measurements tailored to each product type is crucial to assess and prioritize corrective actions.
Uncovered zones Shocks can occur in areas without operators or surveillance cameras: dockyards, temporary storage zones, truck beds. Without onboard sensors, these incidents go undetected.
Costs and maintenance Wired solutions or those requiring external power are often unsuitable for pallets or mobile containers. Autonomous, easy-to-deploy, and replaceable equipment should be favored.
Data contextualization Simply recording a shock is not enough: it must be placed in context, location, ambient temperature, container tilt to accurately assess the impact on the product and assign responsibility.
Ineo-Sense's answer : ACS‑Switch
The Ineo-Sense ACS-Switch sensor features a long-lasting battery, LPWAN connectivity, and a suite of embedded sensors to provide comprehensive monitoring of the physical stresses your assets endure.
Configurable alerts – Shock detection : Adjustable intensity thresholds based on product sensitivity. – Real-time notifications via your IoT platform, SMS, or URL.
Multisensor capabilities - Movement : Tracks vibration cycles and suspicious movements. - Tilt & overturn : Detects abnormal positions that may indicate a pallet has tipped over. - Free fall : Measures sudden deceleration to capture the exact event. - Temperature & humidity : Conditions the impact of shocks on certain materials (plastics, composites, food products).
Extended battery life Up to 5–7 years of battery operation thanks to a low-power chipset and intelligent sleep modes.
LPWAN connectivity LoRaWAN and our Clover-Net protocol ensure long-range transmission, even in dense industrial areas or metal warehouses.
Contextualized location Can be paired with TRK-Tracer to map each shock event, correlating incidents to precise transit points.
Operational benefits
Reduction of losses and costs Anticipate damage by quarantining flagged pallets, thereby reducing waste and customer returns.
Improved safety By isolating shock incidents, you can plan targeted interventions (reinforced packaging, additional cushioning) before any further handling.
Optimization of maintenance and processes Historical vibration and shock data feed your reliability analyses, enabling adjustments to transport methods or handling procedures.
Traceability & accountability Timestamp each shock and contextualize it (location, temperature, tilt) to provide evidence in case of disputes and clearly assign responsibility among carriers, warehouses, and handlers.
Why choose Ineo‑Sense ?
Industrial expertise : Over 10 years of R&D in autonomous sensors and LPWAN for demanding environments.
Flexibility & customization : Precise threshold settings, choice of embedded sensors, and integration with your ERP, WMS, or monitoring systems.
Comprehensive support : Feasibility studies, rapid prototyping, industrialization, and team training for turnkey deployment.
Connected ecosystem : Ability to combine ACS-Switch with our full product range (TRK-Tracer, ESG-Logger, etc.) for unified management of all your field data.
Business sectors
The industry sectors we regularly address for these challenges
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