BoryForesight Solution

 

BoryForesight Solution | Bory XAI Accident Cause Prediction Integrated Monitoring Solution |

An XAI-based integrated monitoring solution that predicts accident causes from accident data and sensor status information and explains the rationale behind its assessments

 

BoryForesight Solution is an XAI-based integrated accident cause prediction and monitoring solution that analyzes accident data and sensor status information generated in industrial sites, chemical-handling facilities, and public safety monitoring environments, predicts potential accident causes, and provides the rationale in an explainable AI format.

 

Conventional monitoring systems often focus on displaying abnormal sensor values, alarm activation, equipment status, and whether an event has occurred. In actual safety management environments, however, it is important to verify not only that “an alarm occurred,” but also “why the situation occurred,” “which cause is most likely,” and “which sensor conditions and accident context influenced the assessment.”

 

BoryForesight Solution integrates accident history, facility information, process information, material information, sensor status information, and accident descriptions as inputs to an accident cause prediction model, then provides both the prediction results and explainable rationale.

It can be integrated with the customer’s existing sensor servers, monitoring dashboards, safety management systems, and accident reporting systems to build accident cause prediction, accident context analysis, XAI explanations, and integrated monitoring APIs.

 

[Solution Implementation Inquiry][Accident Cause Prediction PoC Inquiry][Integrated Monitoring Implementation Consultation][Request a Proposal]

Customer Challenges

 

Alarms are generated, but identifying the cause is difficult

Industrial sites generate a wide range of sensor data, including gas concentration, pressure, flow rate, temperature, humidity, pH, and equipment status. However, the fact that a sensor value has exceeded a threshold alone is not enough to immediately determine the cause of an accident.

BoryForesight Solution analyzes sensor status and accident context together to predict possible accident causes and provide explanatory information that monitoring personnel can review.

 

Accident data and sensor data are managed separately

At many sites, accident history, sensor data, facility information, process information, and material information are managed in separate systems.

BoryForesight Solution integrates distributed data into an analytical structure that can be used for accident cause prediction and establishes an AI analysis environment based on accident context.

 

The rationale behind AI prediction results is needed

An accident cause prediction system is difficult to use in the field if it provides only the final result.

BoryForesight Solution explains the predicted accident cause candidates together with key contributing factors, related keywords, sensor status, and accident context, enabling monitoring personnel to review the AI results.

 

Accident reporting and post-incident analysis are repetitive

After an accident, various documentation tasks are required, including cause analysis, response records, recurrence prevention measures, internal reports, and reports to relevant authorities.

BoryForesight Solution organizes accident cause prediction results and explainable rationale into reports to support accident analysis and reporting tasks.

 

Solution Overview

 

BoryForesight Solution integrates and analyzes accident data, sensor data, and facility, process, and material information to predict possible accident causes and provide the monitoring system with prediction results and explanatory information.

 

Key functions are as follows.

• Accident data collection and cleansing
• Sensor status information conversion
• Accident context text generation
• Application of an accident cause prediction model
• Analysis of multiple accident cause candidates
• XAI-based explanation of assessment rationale
• Identification of key contributing factors
• Development of an API for integrated monitoring
• Integration with Existing Sensor Servers and Monitoring Systems
• Generate accident cause analysis reports
• Development of an administrator dashboard
• Customization of accident types by customer site

 

Key Functions

 

1. Accident Data-Based Cause Prediction

BoryForesight Solution is designed to analyze historical accident records and accident description data to predict possible accident causes.

Accident type, location, handled materials, process information, facility status, work conditions, and sensor status can be combined as inputs to the accident cause prediction model.

The prediction output can be expanded to provide multiple possible causes rather than only a single cause.

 

2. Sensor Status Text Conversion

BoryForesight Solution can convert sensor readings into analyzable status information instead of treating them only as simple threshold alarms.

For example, information such as rising gas concentration, abnormal pressure, reduced flow rate, rapid temperature change, missing sensor data, and communication errors can be converted into status text and combined with accident description data for accident cause prediction.

This approach is useful for connecting numerical data and text-based accident descriptions within a single analytical workflow.

 

3. Accident Context Generation

Accident causes are difficult to determine from individual sensor values alone.

BoryForesight Solution combines facilities, processes, materials, location, work conditions, sensor status, and accident descriptions to construct the accident context.

This enables analysis that reflects the situational context in which an accident may occur, rather than monitoring based only on simple alarms.

 

4. XAI-Based Assessment Rationale

BoryForesight Solution provides the rationale behind the accident cause candidates predicted by AI.

It can organize, in an explainable format, which keywords, accident descriptions, sensor conditions, and site information influenced the prediction results.

Monitoring personnel can review the explanatory rationale together with actual site conditions rather than accepting AI-generated results without verification.

 

5. Integrated Monitoring API

BoryForesight Solution can provide accident cause prediction results, prediction probabilities, confidence levels, key contributing factors, accident context explanations, and report data through APIs.

AI-based accident cause prediction functions can be added by integrating the solution with existing monitoring dashboards, safety management systems, sensor monitoring servers, and accident reporting systems.

 

6. Accident Cause Analysis Report Generation

Accident cause prediction results and XAI explanation information can be organized in report format.

Reports can include an accident overview, input data, major sensor conditions, predicted cause candidates, rationale, similar accident patterns, and reference information for response.

Report templates can be configured to match the customer’s internal reporting or accident analysis formats.

 

7. Dashboard Integration

BoryForesight Solution can be integrated with existing monitoring screens or implemented as a separate administrator dashboard.

Administrators can review accident events, sensor status, predicted causes, risk levels, explanatory rationale, and analysis history.

The system can be configured to retrieve analysis results by site, equipment, accident type, and period.

 

8. Customer-Specific Model Configuration

Accident types, sensor configurations, process structures, and management standards vary by industrial site.

BoryForesight Solution can adjust analysis items and the model application scope to the customer’s accident history, site data, sensor configuration, and monitoring method.

 

Available Configurations

 

Standard Implementation Configuration

• Accident Data Input Module
• Accident description data cleansing module
• Sensor Status Conversion Module
• Accident context generation module
• Accident Cause Prediction Model
• XAI Explanation Module
• Prediction Results API
• Accident Event Inquiry Screen
• Accident cause analysis report
• Administrator dashboard

 

Extended Implementation Configuration

• Existing Sensor Server Integration
• CCTV and Video Analytics System Integration
• Industrial-Safety Monitoring Dashboard Integration
• Process and equipment information integration
• Chemical substance information integration
• Accident history database development
• Application of the customer’s accident report format
• Field Alert System Integration
• On-Premises Deployment
• Cloud server deployment
• User permission management
• Statistical and analytical dashboard development
• API-based external system integration
• Model customization by customer accident type

 

Application Scenarios

 

Integrated Industrial-Safety Monitoring

Sensor events and accident information generated at factories, manufacturing sites, logistics facilities, loading and unloading areas, and storage facilities can be analyzed in an integrated manner.

Administrators can review not only simple alarms but also predicted accident cause candidates and the rationale behind the AI assessment.

 

Chemical Accident Cause Analysis

Chemical-handling facilities may encounter various accident factors, including gas leaks, abnormal pressure, flow changes, equipment failure, and operator error.

BoryForesight Solution combines facility information, process information, material information, and sensor status information to support accident cause prediction and explainable analysis.

 

Advancement of Public Safety Monitoring Systems

Local governments, public institutions, industrial complexes, and environmental safety organizations can establish accident cause prediction systems based on accident history and field data.

Monitoring operations can be enhanced by integrating BoryForesight prediction APIs and XAI report functions with existing monitoring systems.

 

Equipment and Facility Risk Analysis

Repeated accident patterns and abnormal sensor conditions can be analyzed to identify risk factors by equipment, process, and facility.

Operations personnel can set inspection priorities and improvement directions based on predicted accident causes and key contributing factors.

 

Accident Report Automation

Following an accident, cause analysis, sensor status, major events, prediction results, and response reference information can be organized into a report.

Accident analysis personnel can reduce repetitive documentation and focus on reviewing causes and establishing measures to prevent recurrence.

 

AI Enhancement of Existing Sensor Systems

When an existing sensor monitoring system provides only values and alarms, BoryForesight Solution can be integrated to add accident cause prediction capabilities.

Sensor values, status text, accident context, and XAI explanations can be combined to create a more advanced monitoring environment.

 

Expected Benefits

 

Systematization of Accident Cause Analysis

Cause analysis that previously depended on personnel experience after an accident can be converted into a data-driven analytical structure.

Accident data, sensor status, and site context can be integrated to systematically review possible accident causes.

 

Decision Support for Monitoring Personnel

Monitoring personnel can review not only simple alarms but also predicted accident cause candidates and the rationale behind the AI assessment.

This enables faster situational assessment and initial response decisions.

 

Enhancement of Existing Monitoring Systems

Accident cause prediction APIs and XAI explanation functions can be added to existing sensor monitoring systems or monitoring dashboards.

AI-based accident analysis capabilities can be expanded while retaining the existing system.

 

Improved Efficiency of Accident Reporting

Accident cause prediction results and explainable rationale can be organized into reports for internal reporting, accident analysis, and the establishment of recurrence prevention measures.

 

Improved Reliability Through Explainable AI

Providing key contributing factors together with prediction results improves the reviewability and explainability of AI analysis results.

 

Repeated Accident Pattern Analysis

Accumulated accident history and sensor status data can be analyzed to identify recurring accident types and causal patterns.

This enables a shift from post-incident response-focused management to a prevention-oriented safety management framework.

 

Implementation Process

 

1. Requirements Review

We review the customer’s site structure, available accident data, sensor configuration, monitoring system, reporting process, and security policies.

 

2. Data Structure Analysis

We analyze accident history data, sensor data, facility information, process information, material information, and existing report formats.

 

3. PoC Design

Using selected accident history and sample sensor data, we verify the feasibility of accident cause prediction, sensor status conversion, XAI explanations, and dashboard integration.

 

4. Accident Context Generation Structure Development

We configure a data structure that combines sensor status, accident descriptions, and facility, process, and material information for use in accident cause prediction.

 

5. Prediction Model and XAI Explanation Application

An accident cause prediction model and explainable AI module are applied according to the customer’s accident types.

The system is configured to display prediction results, key contributing factors, and explanatory statements.

 

6. API and Dashboard Integration

The solution is integrated with existing monitoring systems, sensor servers, safety management systems, and accident reporting systems.

Prediction results and explanatory information are provided through APIs or dashboards.

 

7. Operational Verification and Enhancement

Prediction results and report quality are reviewed using actual accident data and monitoring events, then improved according to the customer’s operating standards.

 

What BoryForesight Solution Can Deliver

 

• Accident cause prediction system development
• AI analysis based on accident data
• Sensor Status-to-Text Conversion
• Accident context generation
• Analysis of multiple accident cause candidates
• XAI-based assessment rationale
• Identification of key contributing factors
• Generate accident cause analysis reports
• Development of an API for integrated monitoring
• Existing Sensor Server Integration
• Industrial-Safety Monitoring Dashboard Integration
• Advancement of Public Safety Monitoring Systems
• Chemical accident analysis system development
• Equipment and process risk analysis
• Model Enhancement Using Customer Accident Data
• On-premises accident analysis system development
• Cloud-based monitoring system development

 

Adoption Inquiry

 

BoryForesight Solution can be proposed as a PoC, sensor integration, API integration, dashboard development, or integrated monitoring system implementation tailored to the customer’s accident data, sensor configuration, facility information, monitoring system, and reporting process.

• XAI Accident Cause Prediction Solution Inquiry
• Inquiry About Building an Integrated Industrial-Safety Monitoring System
• Inquiry About a Sensor-Based Accident Analysis System
• Inquiry About Existing Monitoring Dashboard API Integration
• Chemical Accident Cause Analysis PoC Inquiry
• Public Institution and Industrial Facility Accident Analysis System Inquiry
• Inquiry About Developing an AI Model Based on Accident Data
• Accident Cause Analysis Report Automation Inquiry
• On-Premises Implementation Inquiry
• Request a Proposal

 

Important Information

 

BoryForesight Solution is an integrated monitoring solution that supports accident cause prediction and explainable AI analysis based on accident data and sensor status information.

This solution is an auxiliary system that supports the decisions of monitoring personnel and accident analysis work. It is not presented as a standalone system that conclusively determines whether every accident has occurred or identifies its cause.

 

Prediction results and automatically generated reports should be used after review by safety management personnel and verification of actual site conditions.

Analysis results may vary depending on the quality of the customer’s accident data, sensor configuration, facility information, process information, data integration method, and field operating standards.

 

When integrating sensor data, accident history, facility information, and internal monitoring systems, prior consultation is required regarding the customer’s security policies, personal information protection standards, internal network configuration, access permissions, and data retention standards.

 

Before implementation, the systems to be integrated, data formats, accident types, sensor configurations, report formats, monitoring screen composition, and operating processes must be reviewed in advance.

 

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BORY.ai Key Services Overview

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.

Below are the main representative domains currently operated or being prepared by Bory Co., Ltd. 

 

Primary Domain	Service/Brand	Description
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
borykiosk.com	BORY KIOSK	A barrier-free AI kiosk service for older adults and people with disabilities, featuring voice guidance, captioning, and easy-to-use interfaces
boryservice.com	BORY SERVICE	A service portal introducing Bory’s AI services and custom-built AI offerings for industrial, public-sector, and everyday applications
borysong.com	BORY SONG	A music AI service that supports AI-powered composition, music generation, and sound content production