研究目的
Investigating the influence of illumination on the quality indicators of signal security activities, particularly focusing on the efficiency of Mobile Security Patrol operations, response speed, information acquisition, and counteraction against intruders.
研究成果
The research concludes that illumination deficiencies cause 18-20% of inadequate implementations in SSA, highlighting the need for better lighting systems to improve quality indicators. It recommends integrating lighting requirements into SSA processes, periodic assessments, and adherence to ISO standards for enhancement.
研究不足
The study relies on theoretical analysis and simplified visualization without empirical data or controlled experiments; it is based on normative documents and may not account for all real-world variables. The technology is conceptual and requires validation in practical SSA management systems.
1：Experimental Design and Method Selection:
The study employs a simplified technology involving problem visualization through diagrams and tables, based on risk assessment methodologies from ISO standards (ISO 9001:2015, ISO 27001:2013, ISO 45001:2018, ISO 18788:2015) to analyze lighting deficiencies in SSA processes.
2：Sample Selection and Data Sources:
The research uses theoretical analysis and case studies derived from normative documents and practical implementations in private security activities in Bulgaria, without specific datasets or samples mentioned.
3：List of Experimental Equipment and Materials:
Not explicitly detailed; inferred equipment includes lighting systems for patrol cars, individual lanterns, CCTV cameras, and security lighting fixtures, but no specific models or brands are provided.
4：Experimental Procedures and Operational Workflow:
The methodology involves decomposing SSA processes into stages, identifying lighting-related risks at each stage (e.g., using a risk assessment card as in Table 1), and proposing solutions such as improved lighting for reading information, vehicle lights, and security systems.
5：Data Analysis Methods:
Qualitative analysis through risk evaluation and visualization techniques; no statistical methods or software tools are specified.
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