smart Construction laboratory Ltd.

智能建造實驗室有限公司

Product 3

Smart Monitoring System

1. Structural stress monitoring

Proposed Monitoring Strategy

We propose a monitoring solution for transmission towers that combines two advanced sensors.

1. Settlement monitoring based on GNSS RTK.
2. Structure strain monitoring using distributed optic fiber sensors (DOFS).

The main causes of settlement

1. Inadequate foundation
2. Uneven load distribution during construction
3. Changes in ground water level
4. Movement of surrounding soil

Issue to solve

Monitoring, preventing, and controlling settlement of transmission towers during the construction process

RTK System For Displacement Monitoring

RTK(Real-Time Kinematic) is a highly accurate technology. Generally, the horizontal accuracy is 2.5mm+0.5×10-6×D and the elevation accuracy is 5mm+0.5×10-6×D. Where D is the distance between the base station and the mobile station in kilometers (km).
Base stations
The Base station watches all satellites and sends the data to the mobile station in real time using radio.
Mobile stations
The mobile station independently receives satellite signals and the data from the Base station. It then calculates the position based on relative positioning principles, giving real-time measurement results with centimeter-level accuracy.
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Data Stream

Data Transmission

The positioning and differential correction data collected by the RTK equipment are transmitted securely to a cloud server via encrypted communication protocols such as SSL/TLS or IPsec, ensuring data integrity and confidentiality during transfer.

Data Storage

An all-in-one customer service platform that helps you balance everything your customers need to be happy.

Data Analysis

Measure what matters with Untitled’s easy-to-use reports. You can filter, export, and drilldown on the data in a couple clicks.

Client Warning & Notification

Set Warning Thresholds

Warning thresholds for settlement are established based on design standards, safety regulations, and load-bearing limits specific to power tower structures. These thresholds can be dynamicallyadjusted based on environmental factors, tower age, and operational conditions. The system uses these thresholds to assess deviations in real-time and determine potential risks of structural failure or excessive displacement.

Early Warning System with LLM

When data surpasses the predefined safety thresholds, the system triggers multi-level alerts (e.g.,critical, moderate) and automatically generates a comprehensive early warning report.This report includes potential causes, risk assessments, and recommended mitigation measures, leveraging predictive analysis and anomaly detection models to preemptively identify risks before critical thresholds are breached.

User Interface

A comprehensive web-based management platformand cross-platform mobile application (iOS/Android) are developed to support real-time data visualization, interactive dashboards, and historical trend analysis. These platforms offer users advanced functionalities, such as customized alert configurations.

Installation

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Base station

•Be installed around the mobile station (generally ≤10km).
•Foundation is needed to ensure the instant location of base station.
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Mobile station

The mobile station can be simply fixed on the designed monitoring point of the transmission tower using a mounting bracket (band clamp or bolt), without any damage to the tower structure.
2. Water Level Monitoring
Multi-dimensional Statistical Analysis Report Combining Data from the Hong Kong Observatory (Temperature, Sunshine, Rainfall, Weather Warnings)

Main features

• Based on self-developed Hydraulic Chip, it realizes more compact architecture.
• Supports Minimum 10cm Pipe Diameter,100-Meter Depth Real-Time Measurement.
• System data is uploaded to the cloud in real-time via the Internet, and users have the ability to remotely view the data anytime. Manage ground water impacts efficiently and faster than ever before.
• Provide a Real-Time Data Analysis Platform. The system has integrated real-time weather data from the Hong Kong Observatory, and through the fusion analysis of weather factors that have adirect impact on water levels, such as temperature and rainfall, it supports multi-dimensional analysis to view water level conditions and dynamically analyze water level changes based on weather factors.
3. Vibration Monitoring
The integrated vibration monitoring system combines vibration sensors with DTU transmission modules for streamlined data acquisition and transmission.

Working stream

Sensor Detection

Accelerometers are commonly used because they measure acceleration.

Signal Conversion

Convert mechanical vibrations into electrical signals. The sensor detects physical vibrations and transforms them into voltage signals.

Data Transmission

DTU transmits the electrical signals to cloud server for further analysis.

Signal Processing

Amplify, filter, and analyze the electrical signals to extract useful vibration information. Filtering removes noise, improving accuracy.

Data Analysis

Software analyzes the vibration data to generate information on frequency, amplitude, etc., assessing the characteristics and impact of the vibrations.

Alarms and Recording

The system triggers alarms and records data when vibrations exceed set thresholds for further analysis and reporting.

Power Supply

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The integrated device is powered by a lithium battery and supplemented by an external solar panel for extended battery life.
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The device allows adjustable acquisition cycles. It wakes to collect data, then enters sleep mode until the next cycle, significantly reducing power consumption.This low-power operation ensures reliable functionality even with solar energy alone.

Installation

Key Features

Specification

Data collection & transmission

Value added