In 2025, multiple departments will intensively introduce new safety production regulations, imposing strict digital requirements for the pre-job health status management of employees in high-risk industries such as transportation, mining, and special operations. Currently, many enterprises still rely on traditional methods such as manual visual judgment, verbal inquiries, and handwritten registration. These methods are not only ambiguous in standards and full of loopholes, but also pose significant safety hazards and compliance risks. To comply with the latest regulatory standards and standardize pre-job management, pre-job health detection machines have become essential equipment for enterprises' safety production.
Several policies, including JT/T 1549-2025, Jiaoxianjian [2024] No. 28, the new version of the "Coal Mine Safety Regulations", and the civil aviation SMS safety management system, clearly stipulate that personnel in high-risk positions must complete standardized health checks before starting work. The data from these checks must be fully retained, available for review, and traceable. Traditional manual checks lack precise data and standardized records, making it easy for enterprises to fail to meet regulatory requirements during supervision and inspection. The pre-job health detection all-in-one machine precisely aligns with official technical standards and is the core equipment for enterprises to solve the problem of compliance before work.
Manual subjective judgment has significant limitations and is unable to accurately identify potential hazards such as abnormal blood pressure, low blood oxygen levels, light alcohol consumption, fatigue, and staying up late. If employees start work with these conditions, it is highly likely to cause safety accidents, resulting in losses for the enterprise. The pre-job health detection all-in-one machine realizes one-stop automated detection of multiple items including alcohol, blood pressure, blood oxygen, and body temperature, with a standardized and consistent process, eliminating human errors and avoiding safety risks at the source.
Data traceability and standardized ledger management are the core focuses of current safety supervision inspections. Manual handwritten ledgers are messy and prone to loss, and their authenticity cannot be verified. They completely fail to meet regulatory requirements. The pre-job health detection all-in-one machine can automatically collect, upload in real time, and permanently retain the detection data, automatically generating standardized electronic ledgers, which can be accessed, printed, and traced at any time, easily meeting various safety supervision requirements and helping enterprises avoid compliance penalties.
In addition to meeting compliance requirements, the pre-job health detection all-in-one machine can comprehensively build a solid safety production defense line for enterprises. The equipment supports rapid detection through facial recognition, does not require dedicated personnel to be on duty, has efficient operation and strong adaptability, and can be used in multiple scenarios such as public transportation, passenger transport, logistics, industrial and mining, and ground operations of aviation. The equipment is equipped with abnormal indicator warning and on-duty interception functions, accurately preventing fatigue on-duty, drunk on-duty, and sick on-duty, significantly reducing the accident rate.
Safety production lies in prevention before the event, rather than remediation after the fact. With stricter supervision continuing, the traditional and extensive manual inspection mode has long been no longer compliant or applicable. Replacing the outdated management methods and adopting the pre-job health detection machine is an inevitable choice for enterprises to respond to policies, fill in the gaps in safety management, and ensure the safety of personnel and production.
Safety management must keep pace with the times. The pre-job health detection machine replaces manual subjective judgment with digital and standardized testing, fills in management loopholes, standardizes data retention, and fully realizes intelligent control of pre-job status, continuously safeguarding the safety of enterprise production.