JR/T 0080-2013 in English
VALIDPetrochemical catastrophe exposure reporting specification
- Issued on:2013-11-25
- Implemented on:2013-11-25
- File Format:PDF
- Delivery:Via email within 1~3 business days
$233.00
Introduction
Interpretation of the core content of the standard
This specification establishes a standardized data collection system for catastrophic risks in the petroleum and petrochemical industries, which includes three core modules:
| Module | Data level | Collection requirements |
|---|---|---|
| Basic information | Location attributes of the target object | Required fields account for 78% |
| Risk classification | 7 major categories of special risks | Extension of 5 industry characteristics |
| Target classification | 4-level coding system | Support dynamic grading |
Key technical features
1. Data standardization architecture
Adopts the GB/T 1.1-2009 standard framework and defines 5 basic data types:
- Character type (Cn): maximum length limit
- Date type (YYYY-MM-DD)
- Numeric type (±15 digits of precision)
- Integer type (32-bit range)
- Percentage type (pure numeric value)
2. Risk classification innovation
Added industry-specific risks based on JR/T0054:
Implementation and application suggestions
Data collection priority management
Differentiate data collection levels according to business scenarios:
| Priority | Applicable scenarios | Sample fields |
|---|---|---|
| P1 (Mandatory) | Reinsurance/Model Development | Cresta zoning, building structure |
| P2 (Recommended) | Rate determination | Subject category code, risk attachment |
Industry adaptation suggestions
For Refining and Chemical Plants and other special targets, it is recommended to collect the following additional data:
- Process safety rating data
- Major hazard registration information
- HAZOP analysis report
Standard Evolution Analysis
Compared with the 2009 version of the Catastrophic Code, the innovations of this standard are:
- Establish a four-level coding system (0600-1499) for special petroleum equipment
- Introduce a dynamic data collection mechanism for projects under construction
- Clear data quality verification rules (such as date format verification)

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