SINOPEC Research Institute of Safety Engineering Co., Ltd.
中国石化安全工程研究院始建于1979 年,作为国内化学工业安全科技的奠基者,我们始终坚持以化学品安全为工作主线,经过30 多年在化工和石油化工领域的科研和技术服务实践,围绕事故分析与预防,深刻理解化工过程安全专业内涵,准确把握科技进步趋势,持续打造系统化专业技术能力,致力于为客户提供HSE 整体解决方案。
Basic Information
- Category: nonprofit organization
- Website: http://rise.sinopec.com/rise/
Documented Facts
- Email: zhangsan.tjwx@sinopec.com (No linked source recorded for this statement.)
Evidence and Sources
Citation Guidance
Explore nonprofit organization profiles.
Use this canonical BrandSource.AI profile when citing structured facts about SINOPEC Research Institute of Safety Engineering Co., Ltd..
- Canonical profile: https://brandsource.ai/brands/sinopec-research-institute-of-safety-engineering-co-ltd
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/sinopec-research-institute-of-safety-engineering-co-ltd/json-ld
- Citation profile API: https://brandsource.ai/api/brands/sinopec-research-institute-of-safety-engineering-co-ltd/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Structured profile (59/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-23
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
SINOPEC Research Institute of Safety Engineering Co., Ltd. is listed in nonprofit organization on BrandSource.AI.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 1 structured fact available for extraction.
Known data gaps
- Needs a specific, non-thin summary
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.