BorySensor Platform

BorySensor Platform | Bory Sensor and IoT Platform

Bory's common sensor and IoT platform that collects, analyzes, and monitors data from field sensors and IoT devices and connects it to alerts, dashboards, and AI analytics

 

BorySensor Platform is Bory's sensor and IoT platform that collects temperature, humidity, pH, water level, gas, vibration, pressure, power, illuminance, flow rate, radar, equipment-status, and environmental-sensor data and connects it to servers, dashboards, alerts, APIs, and AI analytics.

 

Factories, warehouses, laboratories, hospitals, cold-storage and freezing facilities, smart farms, environmental facilities, recycling-resource management sites, and industrial-safety sites continuously generate diverse sensor data. However, integrated use of this data is difficult when sensor manufacturers, communication methods, data formats, gateways, servers, and dashboards differ.

 

BorySensor Platform collects data from diverse sensors and IoT devices in a common structure, remotely monitors site conditions, provides alerts for threshold exceedances or abnormal conditions, and provides a foundation that can be extended to AI analytics, prediction, reports, and external-system integration.

 

BorySensor Platform can be deployed as a standalone platform or integrated with Bory's sensor-based products, solutions, and platforms, including BoryRMS Solution, BoryFluidSense Solution, BorySafe Guard Solution, BoryForesight Platform, BoryEcoTrace Platform, and BoryData Platform.

 

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Platform Definition

BorySensor Platform is a common platform that modularizes Bory's sensor and IoT data-collection and monitoring technologies.

A product is a packaged offering delivered to a customer, a solution is a system built for the customer's environment, and a platform is a shared technology foundation from which multiple products and solutions can be created repeatedly.

 

BorySensor Platform provides the following capabilities within a unified platform architecture.

• Sensor Data Collection
• IoT Gateway Integration
• RS485 and Modbus Integration
• Wi-Fi, LTE, BLE, and LoRa Integration
• MQTT and HTTP API Integration
• Sensor Data Normalization
• Equipment-Status Data Collection
• Threshold Exceedance Detection
• Detect abnormalities in data reception
• Anomalous Pattern Analysis
• Remote Monitoring Dashboard
• Integrated Monitoring by Site and Location
• Alert and Warning System Integration
• Data History Management
• Report Generation
• AI Analytics and Prediction Integration
• External System APIs
• Support for On-Premises and Cloud Deployment

In other words, BorySensor Platform is Bory's common sensor and IoT platform that “collects, organizes, stores, and analyzes” field sensor data and provides it through alerts and dashboards.

 

Customer Challenges

Field sensor data is scattered across multiple devices

Factories, warehouses, laboratories, and facility-management sites use many different types of sensors and devices.

Data types such as temperature, humidity, pH, water level, gas, vibration, pressure, power, illuminance, and radar vary widely, and manufacturers and communication methods may also differ.

BorySensor Platform collects data from multiple sensors and devices in a common structure to support integrated management.

 

Site conditions can only be checked by visiting in person

Checking sensor readings directly at the site or recording them manually requires substantial time and cost.

It is difficult to identify abnormal conditions quickly at night, on holidays, at remote facilities, or across multiple sites.

BorySensor Platform remotely collects sensor data and makes it available through dashboards, reducing the burden of site visits.

 

It is difficult to detect abnormal conditions quickly

Events such as rising temperature, excessive humidity, pH changes, rising water levels, increasing gas concentrations, abnormal vibration, power anomalies, and interrupted data reception require prompt attention.

BorySensor Platform analyzes sensor thresholds, rates of change, reception status, and equipment status and can present abnormal conditions through alerts and monitoring screens.

 

Sensor data is not connected to business systems

Sensor data can be connected to quality management, safety management, facility management, settlement, certification, monitoring, and accident-prediction workflows.

However, when sensor data is stored only in separate devices or data loggers, it is difficult to use it in actual business systems.

BorySensor Platform improves business usability by providing sensor data through APIs, dashboards, reports, and external-system integration structures.

 

Accumulated data histories are not used for analysis

Sensor data is important operational data that changes over time.

However, without systematic history storage, it is difficult to analyze anomalous patterns, recurring problems, seasonal changes, equipment-condition changes, and precursors to accidents.

BorySensor Platform stores sensor-data history and provides a foundation that can be extended to graphs, statistics, reports, and AI analytics.

 

Platform Overview

BorySensor Platform is Bory's common sensor-data platform that collects, stores, analyzes, and visualizes sensor and IoT data and integrates it with customer business systems.

 

The main components are as follows.

• Sensor Input Module
• IoT Gateway Integration Module
• Communication Protocol Integration Module
• Data Normalization Module
• Data Storage Database
• Real-Time Monitoring Module
• Threshold Exceedance Detection Module
• Anomalous Pattern Analysis Module
• Data Reception Anomaly Detection Module
• Site and Location Management Module
• Alert and Warning Module
• Report Generation Module
• Administrator Dashboard
• External System API Integration Module
• AI Analytics and Prediction Integration Module

BorySensor Platform can be configured as edge-integrated, cloud-based, on-premises, API-integrated, or multi-site integrated according to the customer's field environment.

 

Core Modules

 

1. Sensor Data Collection Module

A module that collects diverse sensor data generated at field sites.

Collection intervals, data formats, storage methods, and alert thresholds can be configured according to sensor type and measurement purpose.

 

Example applications include the following.

• Temperature Data Collection
• Humidity Data Collection
• pH Data Collection
• Water-Level Data Collection
• Gas-Concentration Data Collection
• Vibration Data Collection
• Pressure Data Collection
• Power Data Collection
• Illuminance Data Collection
• Radar Sensor Data Collection

 

2. IoT Gateway Integration Module

A module that integrates with gateways that collect and transmit data between sensors and servers.

Depending on the field environment, it can integrate with Raspberry Pi devices, industrial PCs, edge boards, data loggers, PLCs, and communication modules.

 

Example applications include the following.

• Raspberry Pi-Based Gateway Integration
• Industrial PC Integration
• Edge Board Integration
• PLC Data Integration
• Data Logger Integration
• LTE Communication Module Integration
• Field Gateway Status Monitoring
• Gateway Failure Detection

 

3. Communication Protocol Integration Module

A module that integrates diverse communication methods used by field sensors and devices.

RS485, Modbus, Wi-Fi, LTE, BLE, LoRa, MQTT, HTTP APIs, and other methods can be applied according to the equipment specifications at the customer's site.

 

Example applications include the following.

• RS485 Sensor Integration
• Modbus Data Integration
• MQTT Message Collection
• HTTP API-Based Data Collection
• BLE Sensor Integration
• LoRa-Based Long-Range Sensor Integration
• Wi-Fi Sensor Data Integration
• LTE-Based Remote Data Transmission

 

4. Data Normalization Module

A module that organizes data formats, units, intervals, and field names that differ among sensors into a common data structure.

Data normalization allows data from multiple sensors to be used consistently in a single dashboard and API.

 

Example applications include the following.

• Standardization of Sensor Data Formats
• Measurement Unit Management
• Time Information Standardization
• Site, Equipment, and Sensor ID Mapping
• Outlier Handling
• Missing Data Indication
• Sensor Status Code Standardization
• Data Quality Indication

 

5. Real-Time Monitoring Module

A module for viewing collected sensor data in real time or near real time.

Administrators can view sensor readings by site, equipment status, abnormal events, and communication status on a web dashboard.

 

Example applications include the following.

• Sensor Reading Lookup by Site
• Status Lookup by Equipment
• Real-Time Change Graphs
• Threshold Exceedance Display
• Data Reception Status Display
• Map and Site Status Display
• Integrated Administrator View
• Mobile Monitoring View

 

6. Threshold Exceedance Detection Module

A module that generates an event when a sensor reading falls outside a configured threshold.

Alerts can be configured according to the site's purpose using upper limits, lower limits, rates of change, duration, and compound conditions.

 

Example applications include the following.

• Temperature Upper-Limit Exceedance Detection
• Humidity Threshold Exceedance Detection
• Abnormal pH Range Detection
• Water-Level Rise Detection
• Gas-Concentration Increase Detection
• Vibration Threshold Exceedance Detection
• Pressure Anomaly Detection
• Abnormal Power-Consumption Detection

 

7. Data Reception Anomaly Detection Module

A module that detects situations in which data is not being received normally from sensors or gateways.

It enables rapid identification of sensor failures, communication failures, power problems, gateway errors, network instability, and similar issues.

 

Example applications include the following.

• Missing Data Detection
• Device Disconnection Detection
• Gateway No-Response Detection
• Abnormal Repeated-Value Detection
• Fixed Sensor-Value Detection
• Communication Delay Detection
• Low-Battery Detection
• Equipment-Status Anomaly Display

 

8. Anomalous Pattern Analysis Module

A module that analyzes anomalous patterns over time, rather than only simple threshold exceedances.

It can identify sudden changes, recurring anomalies, seasonal changes, deviations among devices, and trends that differ from normal patterns.

 

Example applications include the following.

• Rapid Rise and Fall Detection
• Recurring Anomalous Pattern Analysis
• Pattern Comparison by Equipment
• Condition Comparison by Site
• Time-of-Day Change Analysis
• Accident-Precursor Pattern Analysis
• Equipment Anomaly Sign Analysis
• AI Prediction Model Integration

 

9. Alert and Warning Module

A module that notifies administrators when an abnormal event occurs.

Notification methods can include dashboard alerts, text messages, email, app push notifications, on-site warning devices, and external-system integration.

 

Example applications include the following.

• Alert when thresholds are exceeded
• Missing Data Alert
• Equipment Anomaly Alert
• Site Manager Alert
• Administrator Approval Alert
• App Push Notification
• Text Message and Email Alert
• External Monitoring System Alert Integration

 

10. Data History and Reporting Module

A module that stores collected sensor data by time, site, equipment, sensor type, and event type and provides it in reports.

The data can be used for quality management, safety management, certification, internal reporting, and operational improvement.

 

Example applications include the following.

• Daily and Monthly Sensor Reports
• Abnormal Event Reports
• Operational Reports by Site
• Equipment Status History
• History Lookup for Quality Management
• Safety Management Report
• Data Download
• API-Based History Data Provision

 

11. External System API Module

A module that connects BorySensor Platform data to the customer's existing systems.

It can integrate with ERP, MES, FMS, quality-management systems, safety-management systems, settlement systems, monitoring systems, and data-analytics platforms.

 

Example applications include the following.

• ERP Data Integration
• MES Sensor Data Integration
• Quality Management System Integration
• Safety Management System Integration
• Facility Management System Integration
• Settlement System Integration
• External Dashboard Integration
• AI Analytics Platform Integration

 

Platform Deployment Models

 

Edge-Integrated

A method that initially collects sensor data through field gateways, Raspberry Pi devices, industrial PCs, or edge boards and transmits it to a server.

Suitable for environments with unstable networks or those requiring site-level control.

 

Cloud Model

A method for centrally managing sensor data from multiple sites, locations, and customers in the cloud.

Suitable for integrated multi-site monitoring, franchises, remote facility management, and SaaS-type IoT services.

 

On-Premises Model

For environments with restricted external-network connectivity, such as factories, hospitals, public institutions, and research facilities, the platform can be deployed on internal servers.

Suitable for organizations where sensitive operational data or internal security policies are important.

 

API Integration Model

A method that connects BorySensor Platform capabilities via APIs to the customer's existing sensor, facility-management, quality-management, or monitoring systems.

It enables sensor-data integration, alerts, dashboards, and AI analytics to be added while retaining existing systems.

 

Multi-Site Integrated Type

A method for centrally managing sensor data from multiple factories, warehouses, stores, laboratories, environmental facilities, and locations on one platform.

Headquarters or central administrators can view the status of all sites on a single screen.

 

Application Areas

Remote sensor monitoring

Sensor data from factories, warehouses, laboratories, cold-storage and freezing facilities, and environmental facilities can be checked remotely.

When integrated with BoryRMS Solution, diverse data such as temperature, humidity, pH, water level, gas, and vibration can be managed through dashboards and alerts.

 

Industrial Safety and Equipment Monitoring

Vibration, gas, temperature, pressure, power, and equipment-status data can be analyzed to identify hazardous conditions and signs of equipment anomalies.

Integration with BorySafe Guard Solution and BoryForesight Platform enables expansion into sensor-based accident prediction and safety monitoring.

 

Liquid Quality and Resource Management

Liquid quality, water-level, and condition-change data can be managed through integration with radar sensors, cameras, and board-based devices.

Integration with BoryFluidSense Solution and BoryEcoTrace Platform enables expansion into recycling-resource quality analysis and digital tracing.

 

Smart Farm and Environmental Monitoring

Temperature, humidity, illuminance, soil moisture, pH, water level, and ventilation-status data can be managed.

Applicable to smart farms, greenhouses, livestock facilities, aquaculture farms, and environmental-monitoring sites.

 

Hospital and Research-Facility Environment Management

Temperature, humidity, gas, and equipment status can be monitored in hospitals, test laboratories, research laboratories, culture rooms, and equipment rooms.

Integration with BoryLab Platform and BoryMed Platform enables expansion into medical and laboratory operations data management.

 

Public Facility and Infrastructure Monitoring

Sensor data from public facilities, underground spaces, transportation facilities, environmental facilities, and energy facilities can be monitored in an integrated manner.

Risk conditions can be identified early using water-level, gas, vibration, temperature, power, and equipment-status data.

 

Integrated Products and Solutions

 

BoryRMS Solution

Used as the core data-collection and monitoring platform for sensor remote-monitoring solutions.

 

BoryFluidSense Solution

Used as the foundation for collecting and monitoring liquid-quality analysis data from radar-, camera-, and board-based devices.

 

BorySafe Guard Solution

Used as a foundational platform that connects sensor data, risk events, and alert data from industrial-safety sites to safety monitoring.

 

BoryForesight Platform

Connects sensor data to accident-cause prediction, risk analysis, integrated monitoring, and XAI-based explainable analytics.

 

BoryEcoTrace Platform

Used as a foundational platform that connects recycling-resource quality, collection histories, sensor data, and settlement and certification data.

 

BoryData Platform

Integrated as a data platform that analyzes and processes sensor-data history, event data, operational statistics, and report data.

 

BORY AI Platform

Integrated as a higher-level AI platform that extends sensor data to AI analytics, prediction, anomaly detection, and data visualization.

 

Expected Benefits

Integrated Sensor Data Management

Sensor data from multiple manufacturers and communication methods can be managed centrally on one platform.

 

Remote Site-Condition Checking

Administrators can remotely check sensor readings and equipment status without visiting the site in person.

 

Early Response to Abnormal Conditions

Threshold exceedances, missing data, equipment anomalies, and hazardous conditions can be detected quickly and alerts sent to responsible personnel.

 

Securing Operational History Data

Sensor and event histories can be stored and used for quality management, safety management, facility management, certification, and internal reporting.

 

Foundation for AI Analytics and Prediction

Accumulated sensor data can be extended to anomalous pattern analysis, equipment-anomaly analysis, accident-risk prediction, and operational optimization.

 

Expansion of Bory's Sensor-Based Product Portfolio

BorySensor Platform enables rapid expansion of sensor-based products and solutions such as BoryRMS, BoryFluidSense, BorySafe Guard, BoryForesight, and BoryEcoTrace.

 

Deployment Process

1. Requirements Review

We review the customer's site type, sensor types, management objectives, communication methods, alert thresholds, existing systems, and security policies.

 

2. Sensor and Communication Environment Analysis

We analyze sensor installation locations, communication environments, power configurations, gateway locations, network status, data-collection intervals, and equipment specifications.

 

3. Platform Architecture Design

We design the scope of sensor data collection, communication protocols, data normalization, dashboards, alerts, reports, and API integration.

 

4. PoC Development

For selected sensors or a specific site, we verify the feasibility of data collection, dashboard display, alerts, history storage, and API integration.

 

5. Platform Implementation

We build gateways, servers, databases, dashboards, alert systems, APIs, and access-control structures tailored to the customer environment.

 

6. Product and Solution Integration

We integrate required products, solutions, and platforms, including BoryRMS, BoryFluidSense, BorySafe Guard, BoryForesight, BoryEcoTrace, and BoryData.

 

7. Operational Verification and Enhancement

Using actual operational data, we improve alert thresholds, graph screens, report formats, data quality, and API stability.

 

What BorySensor Platform Can Do

• Build Sensor and IoT Platforms
• Build Sensor Data Collection Systems
• IoT Gateway Integration
• RS485 and Modbus sensor integration
• Wi-Fi, LTE, BLE, and LoRa communication integration
• Collect Data via MQTT and HTTP APIs
• Manage Temperature, Humidity, pH, Water-Level, Gas, and Vibration Data
• Radar Sensor Data Collection
• Monitor Equipment-Status Data
• Sensor Data Normalization
• Detect abnormalities in data reception
• Alert when thresholds are exceeded
• Anomalous Pattern Analysis
• Integrated Monitoring by Site and Location
• Build Sensor Data Dashboards
• Manage Sensor Data History
• Report Generation
• External System APIs
• Build On-Premises IoT Platforms
• Build Cloud-Based Sensor Platforms
• Integrate AI Analytics and Prediction Platforms

 

Implementation Inquiries

BorySensor Platform can be proposed as edge-integrated, cloud-based, on-premises, API-integrated, or multi-site integrated according to the customer's sensor types, communication methods, site structure, server environment, alert policies, and existing-system integration requirements.

• Sensor and IoT Platform Adoption Inquiry
• Sensor Data Collection Platform Inquiry
• IoT Gateway Integration Inquiry
• RS485 and Modbus Sensor Integration Inquiry
• MQTT-Based IoT Data Integration Inquiry
• Sensor Remote-Monitoring Platform Inquiry
• Inquiry about multi-site integrated sensor management
• Sensor Data Dashboard Implementation Inquiry
• Threshold Exceedance Alert System Inquiry
• Sensor Data API Integration Inquiry
• On-Premises IoT Platform Inquiry
• Cloud-Based Sensor Platform Inquiry
• Request a PoC Proposal

 

Important Information

BorySensor Platform is a sensor and IoT platform that collects, stores, analyzes, and visualizes data from field sensors and IoT devices and supports remote monitoring and alerts.

 

This platform supports field-condition checking and operational management and does not guarantee complete, automatic determination of every sensor anomaly or field hazard.

 

Measurements and analysis results may vary depending on sensor type, installation location, calibration status, communication environment, power status, measurement target, field noise, and data-collection interval.

 

Separate calibration, testing, certification, and customer-validation procedures may be required when using the data for statutory metrology, accredited test reports, or certification submissions.

 

When sensor data is transmitted to an external server or cloud, prior agreement is required regarding the customer's security policies and data storage and transmission standards.

 

When integrating existing sensors, gateways, PLCs, facility-management systems, or quality-management systems, the implementation scope may vary according to equipment communication specifications, API availability, and network configuration.

 

Before adoption, advance review is required for sensor types, installation locations, communication methods, server configuration, alert thresholds, dashboard configuration, data-use objectives, and security policies.

 

Related Products, Solutions, and Platforms

 

Related Product

• BoryRMS / Sensor Remote-Monitoring Package
• BoryFluidSense / Bory AI Radar Liquid-Quality Measurement Terminal
• BorySafe Guard / BORY Digital Twin Industrial Safety AI Monitoring Package

 

Related Solution

• BoryRMS Solution / Bory Sensor Remote Monitoring Solution
• BoryFluidSense Solution / Bory AI Radar Liquid-Quality Analysis Solution
• BorySafe Guard Solution / BORY AR and Digital Twin Industrial Safety Solution
• BoryForesight Solution / Bory XAI Integrated Monitoring Solution for Incident Cause Prediction
• BoryData Solution / Bory Data Analysis and Processing Solution

 

Related Platform

• BORY AI Platform / Bory Artificial Intelligence Platform
• BoryData Platform / Bory Data Analytics Platform
• BoryForesight Platform / Bory XAI Integrated Monitoring Platform for Incident Cause Prediction
• BorySafe Platform / Bory Industrial Safety Platform
• BoryEcoTrace Platform / Bory Recycling-Resource Digital Tracing Platform

 

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Bory Co., Ltd. develops products, solutions, platforms, and services for industrial, medical, public-sector, healthcare, and barrier-free applications based on AI technologies involving speech, language, video, sensors, and data.

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bory.ai	BORY.ai	The official AI brand website of Bory Co., Ltd., serving as the company’s main website for the integrated presentation of its products, solutions, platforms, and services
borysense.com	BORY SENSE	An AI-powered hearing assistance platform that supports communication for people with hearing disabilities and older adults through real-time captioning, lip-reading AI, and AR glasses integration
borytalk.com	BORY TALK	A web-based conversational AI chatbot service designed for civil service inquiries, consultations, information guidance, and customer support
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borysong.com	BORY SONG	A music AI service that supports AI-powered composition, music generation, and sound content production