1. Overview
KS32 is a LoRaWAN-based dry contact input acquisition device designed for industrial and infrastructure monitoring applications. It provides 6-channel digital input (DI) interfaces, enabling direct acquisition of dry contact signals from field devices and transmitting status data over LoRaWAN networks.
The device is designed to address a common challenge in industrial retrofit scenarios:
How to reliably collect distributed dry contact signals without rewiring or PLC expansion.
KS32 enables wireless acquisition of ON/OFF status signals from legacy equipment and integrates them into modern IoT platforms such as ThinkLink, ChirpStack, and The Things Network (TTN).
2. Key Features
6-channel dry contact (DI) input interface
LoRaWAN Class A communication protocol
Support for multiple frequency bands (CN470 / EU433 / EU868 / AS923 / AU915 / US915)
Built-in 10800mAh lithium battery, up to 6 years battery life
IP65 protection rating for industrial and outdoor environments
Event-driven uplink and periodic reporting mechanism
Compatible with ThinkLink, ChirpStack, and TTN network servers
3. System Architecture
KS32 operates as a wireless edge acquisition node in a standard LoRaWAN network architecture:
Field Dry Contact Devices
↓
KS32
↓ (LoRaWAN)
LoRaWAN Gateway
↓
Network Server (ThinkLink / ChirpStack / TTN)
↓
Application Layer (SCADA / Dashboard / API / Cloud System)
This architecture eliminates the need for traditional wired IO extensions while maintaining compatibility with existing industrial systems.
4. Working Principle
4.1 Dry Contact Acquisition
KS32 supports 6 independent digital input channels. Each channel continuously monitors the state of an external dry contact circuit.
Logic “0”: contact closed
Logic “1”: contact open
State transitions are recorded locally and transmitted to the network server.
4.2 Event-Driven and Periodic Reporting
KS32 supports two uplink modes:
Event-triggered reporting: uplink is generated immediately when any DI state changes
Periodic heartbeat reporting: uplink is sent at a configurable interval when no event occurs
The default reporting interval is configurable via network server commands.
4.3 Signal Filtering and Stability Control
To ensure reliability in industrial environments, KS32 implements:
Pulse width filtering to suppress electrical noise and false triggering
Throttling window control to prevent uplink storms in high-frequency switching scenarios
These mechanisms improve data stability in noisy electrical environments.
5. Typical Applications
KS32 is designed for industrial retrofit and distributed signal acquisition scenarios, including but not limited to:
Pump Station Monitoring
Pump running status detection
Fault alarm signal acquisition
Valve open/close feedback
Building Automation Systems
Door and cabinet monitoring
Alarm system integration
HVAC system status feedback
Utility Metering Systems
Water meter pulse output acquisition
Gas meter pulse signal monitoring
Legacy meter digital signal conversion
Industrial Equipment Monitoring
Motor run/stop status
Production line signal collection
Remote equipment status monitoring
6. Installation and Deployment
KS32 is designed for wall-mounted installation with simplified deployment steps:
Fixed installation using mounting backplate
No external power wiring required (battery-powered design)
LoRaWAN network join via OTAA/ABP modes
Configuration via network server downlink commands
7. Value Proposition
KS32 provides a dedicated wireless IO layer for industrial digitalization by:
Eliminating long-distance IO cabling requirements
Enabling rapid retrofit of legacy equipment
Reducing deployment cost in distributed signal systems
Supporting scalable IoT integration through LoRaWAN infrastructure
It acts as a bridge between traditional dry contact systems and modern IoT platforms.
8. Conclusion
KS32 is designed to simplify industrial signal acquisition in retrofit environments. By converting dry contact signals into standardized LoRaWAN data, it enables reliable, low-power, and scalable integration of legacy equipment into IoT systems.
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