This paper discusses the importance and related requirements of discipline in geological experiment testing, including operation discipline, data discipline, safety discipline, confidentiality discipline and team discipline. It elaborates on how to keep discipline by strengthening discipline awareness, strengthening training and learning, establishing supervision mechanism, setting an example and taking serious accountability measures. It emphasized the key role of strict discipline in ensuring the smooth progress of geological experiment and test work, achieving reliable results and promoting the development of geological undertakings, and called on all personnel engaged in geological experiment and test work to always bear in mind the discipline requirements, work solidly with a high sense of responsibility and mission, and lay a solid foundation for geological scientific research and resource development and utilization.

With the deepening of double first-class"construction in Chinese universities, the introduction of a large number of scientific research talents, the rapid expansion of scientific research laboratories, the laboratories of science and technology departments are facing the dilemma of limited space and unreasonable layout, at the same time, safety check tasks at all levels are continuously detailed, quantified and standardized. In view of the lack of professional safety inspection personnel, heavy safety inspection tasks, hidden danger rectification is not in place and other problems, this paper puts forward solutions at the college level. This paper explores how to optimize the existing safety inspection system at the college level, and systematically and professionally carry out special rectification of the safety hazards in the laboratory under its jurisdiction. In practice, explore how to better mobilize resources such as lab safety officers and students so that lab safety becomes a habit that can be cultivated, which in turn promotes lab safety at the college and university levels.

University laboratories are characterized by their complex functions, high safety risks, and significant management challenges. Establishing a sound safety education and training model is an important means to promote the safety management of laboratories. This study discusses the current issues in safety education and training for university laboratories, including the structural issue that safety education and training are not incorporated into the laboratory management system, the process issue of having a singular form of safety education and training and a lack of targeted content, and the result issue of the absence of an evaluation mechanism for safety education and training. In response to these issues, a university laboratory safety education and training model based on structure-process-result is constructed around pre-experiment, during-experiment, and post-experiment stages, providing references for improving the safety literacy of laboratory personnel and ensuring the safe operation of laboratories.

Laboratory is an important structure in the field of health inspection, and the management level of laboratory directly affects the effect of disease control and prevention. In recent years, with the vigorous development of the laboratory field, the emergence of many new laboratory reagents and laboratory technologies has effectively improved the efficiency of clinical laboratory, but it also poses new challenges to the development of existing laboratory management. The lack of reagent management system, the lack of talent team construction and the inability of information technology advantages are one of the practical difficulties of laboratory management at this stage. It is difficult to avoid the influence of human factors on the quality of inspection, and it is impossible to promote the high-quality development of inspection work. In recent years, with the development of emerging technology industry, emerging technology has potential value in the optimization management of laboratory. This paper reviews four emerging technologies, namely automation pipeline, artificial intelligence technology, cloud management platform and virtual simulation, aiming to solve the problem of lack of reagent management system in traditional laboratory inspection management and difficulty in highlighting the advantages of information technology. So as to promote the inspection laboratory management system update iteration, towards the direction of digital, scientific development.

University laboratory is the main place of experimental teaching and scientific research, which plays an important role in universities. The safety management of the laboratory is the guarantee of the efficient operation of the laboratory and the improvement of the level of teaching and research. Meanwhile, the laboratory is also a place where the potential high-risk accidents happened. Aiming at the problem in the laboratory safety management, we have improved the laboratory safety management measures to prevent and reduce the occurrence of laboratory safety accidents. This article mainly proposed the potential safety hazards and improvement strategies for the laboratory management, offering valuable insights for refence.

In the context of high-quality development in China, some operating methods of the traditional inspection and testing industry can no longer meet the actual testing needs, and the rise and development of digitalization and intelligence will promote the revolutionary transformation of the inspection and testing industry. This paper introduced the iron ore moisture detection and control system, and discussed its application in moisture detection. Firstly, the pain points and risks of the traditional inspection methods of iron ore were analyzed, and the concept and significance of the iron ore moisture detection and control system were introduced. The module composition and operation methods of the iron ore moisture detection and control system were introduced in detail, including the design of hardware equipment, cloud computing and process management and control applications. Finally, examples were demonstrated and analyzed. The advantages and application prospects of iron ore moisture detection and control system in inspection and testing industry were demonstrated. It provides a theoretical basis for the digitization and intellectualization of iron ore moisture detection.

Objective To realize the intelligentization and visualization of laboratory management and effectively improve the efficiency and quality of inspection work by taking the digital scheme of building drug inspection laboratory in Taizhou Pharmaceutical Inspection Institute as an example. Methods Through the mode of “internet+technology service", the whole process of "one-stop" service was realized in scientific experiment, technology research and development, safety evaluation, industry cultivation and other aspects at drug testing institution. Results Since the operation of the digital laboratory of Taizhou Institute of Drug Control for 2 years, more than 6,700 drug testing reports had been completed, 21 sets of high-end instruments and equipments with a value of 25 million yuan had been shared freely through the "drug inspection pass" service platform, providing efficient services for more than 200 enterprises and institutions, completing 2960 batches of entrusted testing business, reducing the laboratory operation cost by 20%, solving 280 technical problems for pharmaceutical enterprises, directly reducing the cost of more than 400000 yuan for pharmaceutical enterprises, shortening the service cycle to 10~15 working days after entrusted by the enterprise through the platform, and improving the efficiency by 30%. Conclusion The foundation of digital laboratory enables the testing institution to achieve comprehensive, efficient and accurate management and coordination, improve the efficiency and quality, improve the scientific and normative nature of testing work, provide high-efficiency and high-quality services for the development of pharmaceutical enterprises, and provide solid technical support for the digital, precise and intelligent governance of drug supervision work.

With the rapid development of technology and the deepening of digital transformation, inspection and testing institutions are confronted with significant challenges in the digitization and intelligent transformation of equipment management. This paper aimed to discuss the application of intelligent equipment management in inspection and testing institutions, analyze the current status of equipment management in inspection and testing institutions, point out existing problems and shortcomings, and propose specific scenarios for the application of artificial intelligence, big data analysis, automation control and Internet of things technology in intelligent equipment management, so as to achieve equipment predictive maintenance and optimize equipment resource allocation, remote control and information sharing to improve the efficiency of equipment management, ensure the quality of testing, to meet the increasingly complex testing needs. This paper also discussed the advantages of digital intelligent management in improving instrument and equipment testing efficiency, ensuring testing quality and reducing operating costs, summarized the important role of digital intelligent management in inspection and testing institutions, looked forward to the future trend, and put forward development suggestions, in order to provide reference and reference for promoting the digitalization and intelligent transformation of equipment management in inspection and testing institutions.

Informatization construction is a necessary means to realize the quality management of ecological environmental monitoring. This paper took the construction practice of the ecological environment monitoring quality management system in Guangxi as an example, combined with the problems existing in inspection and testing institutions, and used information technology to propose a system construction and design based on quality management as the goal. Quality control was carried out from multiple perspectives such as monitoring process, standard methods, data review, system judgment, and process supervision, realizing the full process management and traceability of ecological environment monitoring, accelerating the construction of standardized, standardized, refined, intelligent, and precise quality management, which helped to promote the high-quality development of ecological environment intelligent monitoring.

As a new supervision mode, intelligent supervision is being explored in the field of food safety in China. By integrating modern information technologies such as big data, cloud computing, the Internet of Things and artificial intelligence, intelligent supervision aims to realize the whole-process monitoring, risk early warning and efficient response to food safety. This study aims to explore the application and prospect of smart supervision in the field of food safety. By integrating modern information technology, smart supervision can effectively improve supervision efficiency, reduce food safety risks, and enhance public confidence in food safety. At the same time, for the challenges faced by smart regulation, this paper discusses how to improve the legal and regulatory framework of smart regulation, strengthen technological innovation, enhance public participation, and how to build a multi-participation regulatory mechanism to ensure the healthy development of smart regulation in the field of food safety in China.