Safety Inspection System Research Articles

Construction and Research of University Medical Laboratory Safety Education Management System

University laboratories play a vital role in experimental teaching and scientific research. As the basis of laboratory safety management, laboratory safety education is an important means to eliminate hidden dangers and improve the level of laboratory safety management. Combining the characteristics and safety risks of medical laboratories, this study adheres to the goal of people-oriented and life-first safety management. Construct and innovate the medical laboratory safety education management system from five aspects: building laboratory safety responsibility system, improving laboratory safety management system construction, improving laboratory safety management and protection system, strengthening laboratory safety education and publicity system construction and implementing laboratory safety inspection and rectification system, and improve the effectiveness of laboratory safety education, improve the comprehensive quality and safety awareness of laboratory personnel, form a good safety atmosphere for medical laboratories, ensuring the safe and stable operation of medical laboratories, and help the "double first-class" construction of universities and the construction of healthy China.

Rapid pre-typhoon safety inspection system for improving construction site resilience

Coastal cities are vulnerable to typhoon disasters due to their unique geographical location. Although significant progress has been made in the safety early warning system for construction sites, there are few studies on site safety management under typhoon disasters. Moreover, traditional manual methods of on-site emergency management are lagging behind and rigid, making it difficult to respond quickly to safety inspections manually. This study aims to automatically identify safety hazards and provide effective response measures during typhoon warnings, ultimately enhancing the safety of construction sites. Therefore, based on the MATLAB platform, this study developed a rapid safety inspection system (RSS-Typh) for the construction site during the typhoon warning period. In addition, the standard operating procedures (SOP) related to the system are formulated to assist the comprehensive safety inspection of the site before the typhoon and improve the inspection efficiency. The specific operation can be divided into three steps: 1.Using a combination of drones and handheld laser scanners to complete the complete construction site data acquisition in less than 2 h, and complete the modeling and refinement of the point cloud model in 5 h; 2.Using the developed hidden danger detection algorithm based on automatic point cloud to effectively identify the deformation-related hidden dangers at the construction site; 3.Use the designed automatic query security countermeasure GUI system to make rapid rectification. This study assists site managers in swiftly implementing effective safety management on construction sites, elevating the safety level of the site before typhoon. Furthermore, it serves to advance the automation of safety management in construction sites, promoting further developments in this field.

Blockchain-based fire safety inspection analysis and system design

Today's buildings usually rely on various firefighting equipment for warning, often neglecting the importance of safety inspections. Most fires occur due to the usual weak awareness of fire prevention. If regular and strict safety inspections are carried out according to the regulations of fire departments will greatly reduce the occurrence of fires. Safety inspections in each unit include fire supervisors from the government and inspectors from relevant maintenance agencies, and these inspectors usually use paper reports to record the safety inspection work. This traditional practice leaves hidden problems for unresolved and important issues, including data integrity and tamperability, which will directly lead to difficulties in tracing responsibilities based on these data after an accident. Therefore, this paper proposes a de-neutralized, blockchain-based traceability system for a fire safety inspection. Blockchain technology has the characteristics of traceability, decentralization, consensus trust, and hard to tamper, which can be combined with this system. The system's core mainly adopts the Hyperledger Fabric consortium blockchain framework, configured to build a blockchain network. The network is organized with three organizations: government, unit, and maintenance agency, and smart contracts are written to process safety inspection data, thus guaranteeing the sharing of fire inspection information as well as traceability.

농업용 저수지의 붕괴 사례 분석을 통한 안전점검체계 취약요소 분석

The recent increase in disasters caused by typhoons and torrential rain caused by climate change and extreme weather is acting as a risk factor for collapse of old reservoirs. In Korea, there are 17,106 agricultural reservoirs nationwide, and 85.6% of the facilities have been completed for 50 years or more. Most of the old reservoirs are under the jurisdiction of local governments with a total storage capacity of less than 50,000 m3 and safety management is insufficient. However, in current domestic studies, studies on improvement of safety inspection reflecting the characteristics of small-scale agricultural reservoirs under the jurisdiction of local governments are still insignificant. Therefore, in this study, an improvement plan was proposed that reflects the vulnerable factors of the condition evaluation that analyzed the collapse cases of agricultural reservoirs. It is judged that such improvement of the safety inspection system will reduce the occurrence of damage by securing the safety performance of the old reservoir.

Statistics and analyses of food safety inspection data and mining early warning information based on chemical hazards

Food safety issues have grown in recent years, attracting great research attention. In addition to increasing supervision, regulatory authorities and related companies are currently trying to use the existing regulatory system to develop real-time data monitoring systems. In this study, food safety inspection data were collected from the information release platform of management departments across China. These data were processed with chemical hazardous substances as the objects of concern and were then classified according to hazardous substances, record product name, inspection location, and other categories. The current risk of chemical hazards in food was analyzed, and key information from the inspection data was mined. Frequent items and association rules of the inspection data were generated by the Apriori algorithm and evaluated according to the support, confidence, and rule interestingness (RI) to obtain key information to aid in developing an improved food safety inspection system. The results show that data mining methods can be used to obtain early warning information from food safety inspection data and are more efficient than traditional statistical methods. With data mining methods, an efficient early warning system can be established to assist management departments and manufacturers in ensuring food safety and quality.

Maritime Intelligent Monitoring System Based on Wireless Sensor Network and Construction of Shipping Legal System

With the continuous advancement of the rule of law in society, the pace of global integration is accelerating, and all countries are actively expanding the development of sea areas. The previous maritime navigation management model cannot meet the conditions for active ocean development in the new era. The state must manage ships. My country has established a series of legal systems for ship management, including ship inspection systems, ship registration systems, and ship safety inspection systems. New management models, new service concepts, and prospects have gradually become the focus of attention of domestic and foreign waterway managers. With the continuous advancement of the rule of law in our country, the law enforcement requirements of maritime navigation management are also getting higher and higher. It is very important to create a good legal environment. This article is aimed at studying how to play the role of wireless local area network in maritime navigation management and how to establish a relatively complete legal system. This paper proposes a gray fuzzy comprehensive algorithm. If the fuzzy subset method is used to determine the membership matrix in the fuzzy comprehensive evaluation, then there will be a sudden drop in the degree of membership due to a slight change in the critical value of the index level. Based on this algorithm, a set of preliminary models of maritime channel management is established. The experimental data in this article mentions that in 2017-2020, the percentage of a certain maritime management’s attention to the legal system has clearly shown an upward trend. In 2020, the attention to the legal system is even as high as 69%. It can be seen that supervision improving the legal system is an effective measure. From the data, we can see that the rule of law score in 2018 was about 1.5 points lower than that in 2019, and the rule of law score in 2019 was 7.5 points. The results show that administration according to law puts forward higher requirements on the ability and service level of administrative agencies and their administrative law enforcement personnel, especially in the process of law enforcement, dealing with affairs related to administrative counterparts. Therefore, it is very necessary to establish a complete legal system.

A quantitative risk metric to support individual sanitary measure reviews in international trade

In order for the United States Department of Agriculture's (USDA) Food Safety and Inspection Service (FSIS) to make an equivalence determination for a foreign meat, poultry or egg products inspection procedure that differs from FSIS inspection procedures (an Individual Sanitary Measure or ISM), a country must demonstrate objectively that its food safety inspection system provides the same level of public health protection as the FSIS inspection system. To evaluate microbiological testing data that such countries may submit to this end, we present a possible risk metric to inform FSIS's assessment of whether products produced under an alternative inspection system in another country pose no greater consumer risk of foodborne illness than products produced under FSIS inspection. This metric requires evaluation of prevalence estimates of pathogen occurrence in products for the foreign country and the U.S. and determining what constitutes an unacceptable deviance of another country's prevalence from the U.S. prevalence, i.e., the margin of equivalence. We define the margin of equivalence as a multiple of the standard error of the U.S. prevalence estimate. Minimizing the margin of equivalence ensures the maximum public health protection for U.S. consumers, but an optimum choice must also avoid undue burden for quantitative data from alternative inspection systems in the foreign country. Across a wide range of U.S. prevalence levels and sample sizes, we determine margin of equivalence values that provide high confidence in conclusions as to whether or not the country's product poses no greater risk of foodborne illness from microbiological pathogens. These margins of equivalence can be used to inform FSIS's equivalence determination for an ISM request from a foreign country. Illustrative examples are used to support this definition of margin of equivalence.This approach is consistent with the World Trade Organization's concept of risk equivalence and is transparent and practical to apply in situations when FSIS makes an equivalence determination for an ISM requested by a foreign country.

Simulation analysis and experiment of magnetic pole shape influence on betatron magnetic field

Betatrons have the advantages of small size, lightweight, and simple operation. They are widely used in non-destructive testing, cargo, and vehicle safety inspection systems. Magnetic field distribution is an essential parameter of betatrons and has been investigated via experimental methods. Recently, simulations have been performed for the magnetic field distribution generated by different magnetic pole parameters. In this study, the finite element method is employed to simulate the magnetic field distribution. The effects of the different magnetic end face opening angles, pole protrusion sizes, number of central magnetic pads, and magnetic pole bottom width on the magnetic field distribution are simulated. Based on the simulation results, magnetic poles are developed, and the magnetic field distribution is measured by a gauss meter. The relative error of the measured and simulated equilibrium orbit is 2.1 %, and the relative error of the magnetic field decay index is 3.3 %. The magnetic field distribution can satisfy the essential conditions that the magnetic field at equilibrium orbit of the betatron is equal to half of the average magnetic field within equilibrium orbit and the magnetic field decay index is greater than 0 and less than 1. The results show that the finite element simulation method and established model have high reliability and effectively improve the design accuracy of magnetic poles.

The review of food safety inspection system based on artificial intelligence, image processing, and robotic

The main target of the current study is to review the latest developments in accurate, reliable, and low-cost non-contact or remote techniques, including the usage of artificial intelligence (AI)-based methods, image processing (IP) system, and sensor technology for quality assessment in the food industry (FI). The IP systems and AI can be used for various purposes, such as classifying products based on size and shape, detecting product defects, the presence of microbes, and grading food quality. The sensor technology is now highly developed to assess food products' quality and safety due to the dramatic growth of nanotechnology and biotechnology. Also, in this paper, it was tried to examine the role of robots in the FI and discusses the advantages and disadvantages of using them in the FI.

Safety inspection system and comprehensive evaluation method for concrete structure of gas pipeline tunnel based on fuzzy mathematics

Regular safety inspections are an important guarantee to ensure the high-quality operation of concrete structures of tunnels. The Chinese West-east Gas Pipeline Project is large in scale and complex in construction environment. These tunnels are equipped with gas pipelines, and the concrete structural defects of the tunnels are continuously exacerbated during the long-term operation. There are few studies on the safety evaluation methods of concrete structures of gas tunnels. Based on the characteristics of the operation of the gas tunnels, this paper proposes the establishment of a structural safety comprehensive inspection system from the following seven aspects, that is, the void between the concrete lining and surrounding rock, the strength of the concrete lining, the thickness of the protective layer of the reinforced concrete lining, the carbonization depth of the concrete lining, the deformation of the tunnel section, the cracks in the concrete lining, and the auxiliary concrete structure of the tunnel. In addition, a corresponding quantitative determination method and safety level classification standard are established. Based on the fuzzy mathematics theory and a structural safety comprehensive inspection system, a five-level safety evaluation method for tunnel concrete structures is proposed. Finally, a comprehensive inspection and evaluation were carried out for a tunnel running across the mountain.

Design and implementation of a computerized safety inspection system for construction sites using UAS and digital checklists – Smart Inspecs

There is a delay in safety management decision-making in the construction industry, particularly in complex operations, due to the vast amount of manual data collection. This paper proposes a computerized system called Smart Inspecs that uses an unmanned aerial system (UAS) and a digital checklist to perform safety inspections in construction. Based on the design science research (DSR) approach, the proposed system includes definitions of standards and technological requirements for the system. The implementation and evaluation of Smart Inspecs were performed at two construction sites, totaling 55 inspections and involving seven direct users. The application of Smart Inspecs reduced the safety inspection time on-site by 73% in comparison to a noncomputerized safety inspection using UAS. Additionally, this application offered improvements in the interaction between the production and safety teams and faster correction of safety nonconformities in the field. Users perceived a high impact of the system with regard to information transparency and utility for safety management. This research’s primary contribution is the proposal of a digital system for safety condition inspections at an operational level for construction sites using UAS as a data collection tool, thus providing timely information for more effective decision-making.

A insider threat detection system based on user and entity behavior analysis

Under the background of “digital new era”, the trend of network environment diversification and personnel technical requirements complexity is becoming more and more intense. After the “Prism Gate” incident was exposed, the public began to think deeply about insider security. At present, most organizations adopt security information and event management (SIEM) security policies and the rules to carry out insider security detection. However, with the surge of insider information data, the number of false alarms and false alarms due to the lack of context increases, which consumes a lot of time and human and material resources. Based on these problems, it is particularly important to develop a new insider safety inspection system and tools. This work proposes to develop an insider threat detection system based on the security strategy of user and entity behavior analysis to realize the detection and analysis of insider threat with high precision. The main work is as follows:This work abandons the traditional SIEM combined rules to determine the anomaly, but adopts the detection strategy of User and Entity Behavior Analysis (UEBA).This work proposes an improved LSTM-GaN insider threat detection algorithm.

High-Accuracy On-Site Measurement of Wheel Tread Geometric Parameters by Line-Structured Light Vision Sensor

Railway wheels are one of the important parts of railway vehicles, and it is necessary to inspect their status frequently. To measure the wheel tread geometric parameters dynamically and accurately in a train running environment, a line-structured light vision sensor-based measurement system was demonstrated in this paper. In the system, a subpixel laser stripe centre extraction algorithm based on skeleton extraction, which can significantly reduce the interference of complex lighting environments in the field and greatly improve the extraction accuracy, was proposed. To further improve the measurement accuracy and stability, the influence of the eccentricity error caused by the dynamic measurement on the results was analyzed, a mathematical model was established, and the deformed profile was corrected. The system has been successfully applied to railway maintenance sections and has become a part of train safety inspection systems. Field tests were conducted to verify the performance of the system, and the results showed that the measurement accuracy and stability are marked improved after eccentric error correction, especially for the flange height and QR value.

Investigation of Causes of Plasco Building Accident in Iran Using Timed MTO and ACCIMAP Methods

To investigate major accidents such as the Plasco collapse in Iran, it is essential to conduct a thorough review of such events via the Proactive Safety approach. Therefore, it is necessary to analyze and root out the event comprehensively and scientifically and utilize the identified causes as a basis for the prevention of similar accidents. In this study, the causes of Plasco building accident were investigated using Timed MTO (TM) and Accimap methods. Studying national authenticated reports and consulting and interviewing safety experts, we explored the details of Plasco accident. Then, the identified causes were first categorized at the organizational level using TM method and, to carry out a more in-depth investigation, the causes were categorized into 6 levels via the Accimap method. The findings showed that the lack of safety monitoring and inspection systems at all levels was the most root cause of the Plasco accident. Non-compliance with building safety rules and NFPA standards and poor safety culture was also identified as the main causes of failure in firefighting. Our results showed that both TM and Accimap could be used as a comprehensive tool to fully investigate the causes of accidents, particularly building accidents.

「風評」問題と食品の放射能検査態勢の体系化(被災地農水産業の復旧・復興における市場対応問題-流通・マーケティングの視点から-,2013年度大会シンポジウム報告)

「風評」問題と食品の放射能検査態勢の体系化(被災地農水産業の復旧・復興における市場対応問題-流通・マーケティングの視点から-,2013年度大会シンポジウム報告)

A Legal Study on Special Fire Safety Inspection System

A Legal Study on Special Fire Safety Inspection System

Evolutionary game analysis of coal-mine enterprise internal safety inspection system in China based on system dynamics

Safety regulation is an important approach to urge coal-mine enterprises to ensure safe production. The existing literature on the analysis of coal mine safety regulation through game methods focuses mainly on external supervision methods such as national and local governments, and lacks research on coal enterprises internal supervision methods. Moreover, these research focus on static analysis of the game between two stakeholders, ignoring the dynamic process of the game. Therefore, this paper explores the use of evolutionary game theory to describe the interactions between the stakeholders in China's coal enterprises internal safety inspection system, which includes the coal-mine owners, the coal-mine safety regulation departments, and rank-and-file miners. Furthermore, the multi-player evolutionary game is simulated by using system dynamics to analyze the stability of stakeholder interactions and the impact of different reward and punishment strategies on the game process and equilibrium state under different scenarios. The simulation results are as follows. First, under the static reward and punishment strategy, increasing the reward and punishment intensity can quickly reduce their unsafe behavior ratio, but at the same time increase the fluctuation in the game. Second, under the dynamic reward and punishment strategy, the stability of the game process is enhanced, but it cannot reach a satisfactory equilibrium value stable state. Last, in order to make the game process with both high stability and high safety behavior ratio, it is necessary to introduce external regulatory forces to act on the internal game system of coal mining enterprises under the dynamic reward and punishment strategy, and at the same time, the punishment intensity of regulation departments and miners should not be the same.

Oil Depot Safety Inspection and Emergency Training System Based on Virtual Reality Technology

An oil depot safety inspection and emergency training system based on VR technology is proposed in this paper for the safety inspection and emergency training with the problems of high cost, high risk, difficulty to repeat, unsatisfactory training effect and single form in hazardous chemical industry such as oil-gas storage. The system utilizes VR development engine, applies 3D Max, Unity 3D and Visual Studio and other development software to complete 3D scenarios building and visualization of the oil depot, furthermore, achieves highly realistic picture effects by HD scriptable render pipeline technology, so as to realize dynamic simulation of various application scenarios such as realistic three-dimensional roaming, knowledge learning, safety inspection and typical fire accident emergency drill. The application results show that the system can effectively improve the pertinence, interesting, operability and implementation effect of oil depot safety inspection and emergency training, so as to achieve the purposes for improving the level of safety knowledge and skill and reducing safety accident.

Policy Suggestions for the Establishment and Improvement of the Safety Audit and Inspection System in Wide-Area Units of the Local Government

As various disasters and safety accidents frequently occur, people's expectations regarding safety management are gradually increasing. The importance of disaster and safety management is especially magnified due to successive accidents. These include fires in complex buildings and hospitals, inversion of cranes, paralysis of a communication network by a fire in the KT underground cable tunnel, rupture of pipelines in district heating systems, derailment of a KTX train, etc. To strengthen the generalization and mediation functions for disaster management and improve the disaster management system, the Ministry of the Interior and Safety introduced the safety audit and inspection system. This study suggests plans for the establishment and improvement of the system in the early part of its implementation. This includes a theoretical discussion on the safety audit and inspection, an investigation of the current organization in Wide-Area Units of the Local Government, and drawing plans for the establishment and improvement of the system. As a result, efficient planning for the safety audit and inspection, expansion of manpower, enhancement of the organization's status, and establishment of a system for the safety audit and inspection were suggested.

Early Intervention Mechanism for Preventing Electrical Shocks During Construction Projects: Portable Electrical Equipment

To prevent electrical shock accidents in construction sites, the present researchers used portable electrical equipment as an example to plan a preconstruction early intervention mechanism that can be used to conduct various inspections of portable electrical devices. This study used narrative text analysis for data collection and compilation. The researchers analyzed 41 real electrocution death cases involving portable electric equipment as the electrocution medium in the Taiwanese construction industry and identified hazard factors that cause electrocution from the case summaries. Then, the IDEF3 was used to integrate and construct a model for the portable electrical equipment inspection flowchart of the early intervention mechanism as a safety inspection system to prevent electrocution in construction engineering units. This study revealed hazard factors and management omissions related to electrocutions caused by portable electrical equipment. To protect workers and strengthen the safety of the construction site, this study proposed of an electric shock prevention early intervention mechanism for portable electric equipment in construction projects. Various inspections should be conducted before equipment is brought on site for construction operations to ensure the safety of electrical equipment and reduce electrocution risks. This study also established a visualization mechanism for the visual qualification label of portable electrical equipment. This mechanism is conducive to strengthening safety management.