Safety Supervision Research Articles

Real-time safety distance detection and warning for elevator inspection based on adaptive monocular depth estimation

During elevator inspection, workers are prone to collisions with hazards in narrow elevator machine rooms. Because of the numerous elevator machine rooms with diverse scenes in cities, it is difficult to effectively monitor the distance between workers and hazards. We propose a real-time safety distance detection and warning system consisting of four parts: object detection, depth estimation, safety distance detection, and safety warning. By introducing two adaptive error correction terms, the proposed adaptive monocular depth estimation algorithm effectively reduces the distortion of object pixel size with changes in depth and shooting angle. Then the calculation formula has been improved to accurately measure the distance between objects. The system has been successfully applied to safety supervision at the elevator inspection site in Nanchang City, Jiangxi Province, China. The results, with an average relative error of 3.34% and 84 frames detected per second, show the system exhibits excellent accuracy and real-time performance.

Study on the Operation Safety of Sea Sightseeing Tourist Ships in the Waters of Kowloon Bay, Weihai

With the rapid development of social economy, tourism as a tertiary industry has developed rapidly, and sea sightseeing has become a popular project in coastal areas. These areas not only meet the requirements of tourists, but also promote the rapid development of the regional economy and make a great contribution to the development of local tourism. Tourist ship operation is one of the important ways for people to enjoy the scenery of the sea and experience boat travel, but also faces many problems such as navigation safety. In recent years, tourism and aviation safety incidents at home and abroad have frequently attracted social attention, and strengthening tourism navigation safety supervision has become a top priority. This paper selects the operation safety of maritime sightseeing and tourist vessels in the waters of Weihai Jiulong Bay as the research object, starts from the analysis of the factors affecting the operation safety of sightseeing and tourism vessels in Kowloon Bay, and establishes a hierarchical model of the operational safety factors of tourist vessels in Weihai Jiulong Bay from the perspective of the "man-ship-environment-management" system. The grey correlation analysis method is used to study the risk factors affecting the operation safety of tourist ships, and corresponding improvement measures are proposed to improve the safety of maritime sightseeing tourism and the safety of tourists.

Truck Driving Assessment for Chinese Logistics and Transportation Companies Based on a Safety Climate Test System

By applying the “safety atmosphere” measurement theory to Chinese management companies engaged in road transportation, a corporate and individual safety risk assessment system was established that is consistent with the management and cultural climate in China, thereby reducing the driving safety risk of truck drivers. The system realizes the safety risk assessment of enterprises, fleets and individuals in the form of test scales by constructing a structural model of the enterprise safety atmosphere, including the management, communication, and supervision of enterprises, fleets, and individuals. The safety climate was modeled using a two-level framework, at the organizational level and fleet level, and three dimensions of test items for each level were obtained by exploratory factor analysis. The three dimensions of safety management, safety supervision, and safety priority at the organizational level, and the three dimensions of positive communication, safety awareness, and self-discipline at the fleet level, respectively, passed a valid factorial test (p < 0.01). Finally, the validity of the system evaluation results was verified by relying on the actual in-vehicle monitoring data and accident records of the corporate transportation fleet. The results show that the total test scores at the organizational level and the fleet level are significantly correlated with their driving risk behaviors, and both are linearly and negatively correlated with the number of accidents per thousand kilometers. This indicates a high degree of consistency between the system’s test results and actual risky accidents.

SmartDED: A Blockchain- and Smart Contract-Based Digital Electronic Detonator Safety Supervision System

Digital electronic detonators, as a civil explosive, are of prime importance for people’s life and property safety in the process of production and operation. Therefore, the Ministry of Industry and Information Technology and the Ministry of Public Security of the People’s Republic of China have extremely high requirements for their essential safety. Existing schemes are vulnerable to tampering and single points of failure, which makes tracing unqualified digital electronic detonators difficult and identifying the responsibility for digital electronic detonator accidents hard. This paper presents a digital electronic detonator safety supervision system based on a consortium blockchain. To achieve dynamic supply chain supervision, we propose a novel digital electronic detonator supervision model together with three codes in one. We also propose a blockchain-based system that employs smart contracts to achieve efficient traceability and ensure security. We implemented the proposed model using a consortium blockchain platform and provide the cost. The evaluation results validate that the proposed system is efficient.

Multiplex fluorescence quenching immunoassay based on multicolor magnetic quantum dot and dual spectral-overlapped polydopamine nanospheres for ultrasensitive detection of aflatoxin B1, zearalenone, ochratoxin A, and fumonisin B1

Due to the increasing fungal infections and the implementation of strict food safety regulations, the demand for sensitive, rapid, and easy assays for testing co-contaminated mycotoxins in food has grown in recent years. In this study, a multiplex fluorescence quenching immunoassay is developed to simultaneously detect prevalent mycotoxins in cereals, namely aflatoxin B1 (AFB1), zearalenone (ZEN), ochratoxin A (OTA), and fumonisin B1 (FB1). Four spherical nanocomposites with magnetic core and three-layer quantum dot (QD) shell (MagTQD) are fabricated. These nanocomposites exhibit different maximum emission peaks without overlap and interference at the same excitation wavelength. Four MagTQD conjugated with corresponding coating antigens to prepare four fluorescence signal probes with rapid magnetic enrichment ability, respectively. Moreover, polydopamine nanospheres (PDANs) with dual-spectral overlapped fluorescence quenching properties are conjugated with four mycotoxin antibodies to prepare four fluorescence quenching probes, respectively. The established immunoassay has the low detection limit at 1.29 pg mL−1 for AFB1, 0.80 pg mL−1 for ZEN, 1.97 pg mL−1 for OTA, and 13.89 pg mL−1 for FB1, respectively. This developed assay can provide a new approach to realize the efficient detection of multi-mycotoxins in food safety supervision.

Establishment and evaluation of the impact of a supervisory group for chemotherapy safety management in an oncology department.

The nursing model of establishing a chemotherapy safety management supervisory group has guaranteed the safety and effectiveness of intravenous chemotherapy while reducing the adverse effects of chemotherapy and improving patient satisfaction and quality of life. To explore the impact of establishing a nursing supervision group on improving the safety management of patients receiving chemotherapy in the oncology department. We selected a total of 60 patients who underwent chemotherapy at the oncology department between January and June 2021 and assigned them to the control group. They received conventional chemotherapy safety management nursing care. We selected another 60 patients undergoing chemotherapy in the oncology department between July and December 2021 and assigned them to the observation group. They received a nursing intervention model facilitated by the chemotherapy safety supervision team. We compared the intervention effects in the two groups. Patient satisfaction was significantly higher in the observation group than in the control group (P< 0.05); the incidence of post-chemotherapy nausea and vomiting was significantly lower in the observation group than in the control group (P< 0.05); and the self-rating depression scale (SDS) and self-rating anxiety scale (SAS) scores of patients in the observation group were reduced (P< 0.05) and significantly lower than in the control group (P< 0.05). We used the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-core 30 (EORTC-QLQ-C30) and found a statistically significant difference in the quality of life of patients before the nursing intervention and on the day of discharge (P< 0.05). The establishment of a chemotherapy safety management supervisory group was effective in reducing the incidence of post-chemotherapy nausea and vomiting as well as the patient's psychological burden; it could also improve the quality of life of patients and their satisfaction with nursing care.

Fungal profile of eggshells from commercial and free-range hens of a supermarket chain in Fortaleza, CE, Brazil

Eggs are perishable and fragile foods because of their easy contamination by different microorganisms, such as fungi. Hence, research on egg safety and quality has been recently developed worldwide to minimize illness transmitted by this food, although most present mainly pathogenic bacteria. Thus, this study identified potentially pathogenic fungal species in eggshells from free-range and commercial hens offered in supermarkets in Fortaleza, CE, Brazil. The research was performed at the Vettings laboratory at the State University of Ceará (UECE) with 40 eggs: 20 from commercial and 20 from free-range hens. The eggshells were assessed using the dextrose evaluation method for pathogenic cultivation, commensal, and yeast fungi. Subsequently, readings were taken to identify and count the fungi on a binocular light microscope in 100x increments. Both egg categories showed a significant number of colony-forming units (CFU). The study identified eight different fungal species in both egg production types. The most prevalent fungal colonies in the free-range hen lineage (brown shell) were yeast spp. and Penicillium citrinum, and the laying hen lineage (white shell) had mostly Penicillium spp. and yeast spp. Therefore, both egg production systems showed similar fungal contamination, which suggests that the manipulation and/or storage are adequate despite the lack of strict food safety regulations or supervision for eggs in Brazil.

Analysis of coal mining accident risk factors based on text mining

Frequently occurring coal mine safety accidents have caused great casualties and economic losses. Coal mine intelligence is the core technical support for the high-quality development of the coal industry. The deep integration of coal mining safety production management and Artificial Intelligence (AI) technology is practically significant to achieve accident prevention. To efficiently identify mining accident risk factors and explore mechanism of coupling between risk factors, this study mined 400 reported cases of mining accidents in Shanxi Province and identified 64 accident risk factors through custom, stopword, synonym dictionary construction, keyword extraction and keyword correlation analysis. Then, this study constructed association rules and a Bayesian causal network. The major risk factors are identified using a comprehensive high-frequency, sensitivity, strength and key path analysis of the Bayesian causal network. The following seven risk factors are found to play a major role in the occurrence of mine accidents: inadequate safety supervision, disordered safety management, illegal organization of production, inadequate staff safety education and training, operation against rules, command against rules and weak safety consciousness among the staff. Finally, a case study is conducted to validate the reliability of the results. This study solves the problem of incomplete extraction of key feature information in coal mine reports and the lack of analyses of coupling mechanisms between coal mine risk factors in traditional accident analysis methods, providing the methodological support for the effective use of unstructured coal mine safety production data for risk analysis.

Rapid determination of polyhalogenated carbazoles in water chestnut based on vortex assisted solvent extraction coupled with dispersive filter extraction followed by gas chromatography-tandem mass spectrometry

Polyhalogenated carbazoles (PHCZs), originating from the production and use of halogenated indigo dyes, photoelectric materials, and p-chloraniline structure herbicides, pose a threat to water environments, aquatic products, and consequently human health. Therefore, establishing an accurate detection method for PHCZs in aquatic products is of paramount importance. In this study, trace PHCZs (36-CCZ, 36-BCZ, and 1368-BCZ) in water chestnut were detected for the first time using the prepared polyvinyl alcohol-functionalized graphene aerogel (PGA) as a novel adsorbent for dispersive filter extraction (DFE), coupled with vortex assisted solvent extraction (VASE), followed by gas chromatography-tandem mass spectrometry (GC–MS/MS). The extraction process (VASE-DFE) has the advantages of good purification effect, short extraction time (<15 min), and low adsorbent dosage (1.0 mg). This method demonstrated excellent linearity in the range of 0.10/0.50/1.00–200 ng/g for the three PHCZs (R2 ≥ 0.9995), and the recoveries at three spiked levels (2, 20, 100 ng/g) ranged from 82 % to 93 %, with relative standard deviations (RSDs) ≤ 7.4 %. Notably, the method outperforms previously reported adsorbents in terms of RSDs, adsorbent dosage, and extraction time. The VASE-DFE-GC–MS/MS method provides a new approach for the detection of trace pollutants in complex samples, introduces a novel technology for environmental and food safety monitoring, and contributes to enhancing food safety supervision.

The Dilemma and Countermeasure research of Guangxi Rural Develppment

Through the field investigation experience and literature review, it is found that Guangxi has made a series of remarkable achievements in promoting rural people's livelihood, including the sustainable and healthy development of rural industries, the steady increase of rural residents' income, the orderly promotion of grassroots governance modernization, and the remarkable achievements of beautiful rural construction. But at the same time, in the process of promoting the construction of rural people's livelihood, there are still many problems and difficulties, including the deficiencies of education, medical care, social security, food safety, cultural development and other aspects. In view of these difficulties, this paper puts forward a series of countermeasures and suggestions, such as exploring effective ways to increase rural income, strengthening investment in rural culture and education, improving rural medical service system, and strengthening rural food safety supervision. It is expected that these countermeasures and suggestions can help improve the living conditions of rural residents, improve the development results of rural areas, and provide strong support for promoting the strategic goals of rural revitalization.

Behavioral decision-making of government, agricultural product producers, and consumers on agricultural product quality and safety regulation in a digital environment.

The quality and safety of agricultural products are related to people's lives and health, economic development, and social stability, and have always been a hot issue of concern to the government and society. The rapid development of digital traceability technology in the digital environment has brought new opportunities for the supervision of agricultural product quality and safety, but the frequent occurrence of agricultural product safety incidents in recent years has exposed many problems such as the lack of governmental supervision, unstandardized production process of enterprises, and weak consumer awareness. To improve the cooperation efficiency of stakeholders and ensure the quality and safety of agricultural products, this paper proposes a dynamic model based on evolutionary game theory. The model incorporates the government, agricultural product producers, and farmers, and evaluates the stability and effectiveness of the system under different circumstances. The results of the study show that there are multiple evolutionary stabilization strategies in the tripartite evolutionary game model of agricultural product quality and safety supervision, and there are corresponding evolutionary stabilization conditions. There are several factors affecting the stability of the system, the most important of which are government regulation, severe penalties for agricultural product producers, and incentives. When these factors reach a certain threshold, the stakeholder cooperation mechanism can establish an evolutionarily stable strategy. This study contributes to the understanding of the operational mechanism of stakeholder cooperation in agricultural product quality and safety regulation in the digital environment and provides decision support and policy recommendations for stakeholders to promote the sustainable development and optimization of agricultural product quality and safety regulation.

Design of Safety Evaluation and Risk Traceability System for Agricultural Product Quality

The quality and safety of agricultural products involve a variety of risk factors, a large amount of risk information data, and multiple circulation and disposal processes, making it difficult to accurately trace the source of risks. To achieve precise traceability of agricultural product quality and safety, the monitoring and supervision level of agricultural product traceability systems needs to be improved. In this paper, the agricultural product quality- and safety-related detection data are taken as the research object, the agricultural product supply chain and business process are sorted out, the agricultural product risk factors under the influence of heavy metals are analyzed, and the agricultural product quality and safety risk evaluation model is established. The agricultural product risk traceability system was designed based on the six-layer architecture of the equipment layer, data layer, service layer, application layer, display layer, and user layer. Combined with the agricultural product quality and safety risk evaluation model, the system data were stored and modified by using the MySQL relational database, and the agricultural product risk traceability system was developed, which realized the accurate traceability of the risk link of the quality and safety of agricultural products. The research results of this paper provide an effective information means for the quality and safety supervision of agricultural products, and provide a technical reference for the development of a traceability system of risk factors related to agricultural products, which has good practical significance.

Influences of Heavy Metals in Water Treatment Chemicals on Drinking Water Quality and Risk Management

Water treatment chemicals (WTCs) are important raw materials during the drinking water production process. Occasionally unqualified WTCs with heavy metals were provided to Water Treatment Plant（WTP） by supplier during emergency situation，such as earthquake, typhoon and city block for epidemic disease, just because it cannot obtain the qualified WTCs. The harmful heavy metals in WTCs may expose a certain health risk to the quality of drinking water. In this paper, the influence of heavy metals in WTCs on the quality of drinking water was explored and the feasible management measures are proposed, taking the ILha Verda Water Plant (IVP) in Macao as an example. The study was based on the testing results of heavy metals in WTCs and treated water from 2017 to 2022 in IVP. A series of mathematical models were established to evaluate the content of heavy metals in water brought by WTCs. The removal rates of the water treatment process to the heavy metals were calculated at same time. The maximum allowable concentrations of heavy metals in WTCs were calculated and accessed. The results show that the drinking water is safety if the heavy metals in unqualified WTCs are under the maximum allowable concentrations. Then it is proposed for the classification of WTCs and risk management. The study will provide theoretical and technical support for water quality safety supervision and water supply management.

Peran Pemerintah Dalam Pengawasan Keselamatan dan Kesehatan Kerja Dinas Tenaga Kerja dan Transmigrasi Provinsi Jawa Timur (K3) Kepada Para Pekerja di Lingkungan Tempat Kerja

The Supervisor of the East Java Province Manpower and Transmigration service has a role in ensuring occupational safety and health in his area. One of its roles is to facilitate services in the field of work safety, organize monitoring efforts for workers and the community, as well as medical laboratory services and environmental testing laboratories. The aim of this research is to determine the role of the East Java Province Manpower and Transmigration Service in carrying out in-depth occupational safety and health supervision of entrepreneurs/companies in the workplace environment. The research uses a qualitative research method with a descriptive approach. In this research, the data sources used to complete the writing are primary data sources and secondary data sources. So the data analysis in this research is based on 3 (three) Government roles in monitoring occupational safety and health namely Regulator, Dynamisator, Facilitator. The results of the research show that the role ofthe government of the East Java Manpower and Transmigration Service has not been carried out optimally because the government lacks direct attention to see the obstacles experienced by workers, both in terms of guidance and training, as well as facilities and infrastructure which are not distributed evenly

Factors Explaining the Use of Web-Based Consultations With Physicians by Young and Middle-Aged Individuals in China: Qualitative Comparative Analysis.

It was only upon the occurrence of the COVID-19 pandemic that the demand for web-based consultations with physicians grew at unprecedented rates. To meet the demand, the service environment developed rapidly during the pandemic. This study aimed to identify the current status of the use of web-based consultations with physicians among young and middle-aged Chinese individuals and explore users' perspectives on key factors that influence its use in terms of optimizing benefits and compensating for disadvantages. We conducted semistructured interviews with 65 individuals (aged 18 to 60 years) across China between September and October 2022. The interviewees were selected through snowball sampling. They described their experiences of using web-based physician consultations and the reasons for using or not using the service. Based on the Andersen Behavioral Model, a qualitative comparative analysis was used to analyze the factors associated with the use of web-based physician consultations and explore the combinations of these factors. In all, 31 (48%) of the 65 interviewees used web-based consultation services. The singular necessary condition analysis revealed that the complementary role of the service and perceived convenience are necessary conditions for the use of web-based consultation services, and user's confidence in the service was a sufficient condition. Based on the Andersen Behavioral Model, the configuration analysis uncovered 2 interpretation models: an enabling-oriented model and a need-oriented model. The basic combination of the enabling-oriented model included income and perceived convenience. The basic combination of the need-oriented model included complementary role and user's confidence. Among the factors associated with the use of web-based consultations, perceived convenience, complementary role, and user's confidence were essential factors. Clear instructions on the conduct of the service, cost regulations, provider qualifications guarantee, privacy and safety supervision, the consultations' application in chronic disease management settings, and subsequent visits can promote the positive development of web-based consultations.

Reflections on the safety regulation of commercialization of synthetic biology products

With the rapid development of synthetic biology, lots of synthetic biology technology achievements in various application fields have been commercialized, generating broad market prospects. The commercialization of products employing synthetic biology technology (hereinafter referred as synthetic biology products) has brought benefits to human beings, but it has also produced potential safety risks. At present, relevant laws and standards for regulation of biotechnology or genetically modified organisms have been adopted to regulate the safety risks of commercialization of synthetic biology products (CSBP). However, due to the complexity and uncertainty of synthetic biology, the safety risks of CSBP cannot be comprehensively regulated by these laws and standards. Therefore, it is of great significance to formulate specific supervision and management measures for regulating the safety risks of CSBP. This paper summarized the situation of CSBP in the fields of food, medical care, agriculture, environment, energy and materials, analyzed the safety risks existing in the CSBP, and sorted out current supervision situation of its safety risks in European countries, United States, as well as in China. We further proposed suggestions on the safety supervision and management measures on the safety risks of CSBP, including classified examination and approval, classified identification of products, and strict screening and approval of market entities before entering the market, and strengthening safety supervision and emergency treatment as well as accident responsibility investigation after entering the market. This whole-process safety regulation might provide support for the safety of CSBP and promote the healthy and long-term development of synthetic biology industry.

The Practice and Perception of Establishing Food Safety Supervision and Management Files

With the steady development of China s economy, the production and living standards of the people in China have gradually im- proved. People no longer stay at the basic level of eat own s fill and wear warm clothes in clothing, food, housing and transportation , and pay more and more attention to the safety and health of food. In recent years, in order to let the people eat conscience and rest assured , China s government health and food related departments have been committed to research on food safety supervision and management. At the same time, the standardization, standardization organization and management of food hygiene supervision and management files should be carried out to facilitate their subsequent supervision. This paper analyzes the practice and experience of food hygiene supervision and man- agement files.

Application of Intelligent Scenarios in the Operation and Maintenance Supervision of Special Equipment

At present, with the increase in the use of special equipment, the quality level and safety management of special equipment is particularly important, and the construction of intelligent special inspection is of great significance. The application of intelligent management scenarios can efficiently solve the safety problems in the use of special equipment, effectively curb the occurrence of accidents, and realize the normalization and intelligence of safety supervision. Subsequent exploration and practice can be carried out accordingly to better promote the scientific and technological research and application work in the field of special equipment. This paper analyzes in this regard.

Application of genetically modified technology in food

At present, the arable land area in China is continuously decreasing, but the population is steadily increasing, and the demand for food quality among people is also increasing. Genetically modified food, with its high yield, disease and insect resistance, high survival rate, and excellent quality, will be rapidly developed, and the development prospects of genetically modified food are bright. Compared with non-genetically modified foods, genetically modified foods have similar nutrition, equal safety, and excellent quality. It will bring greater economic benefits. With the development of the times, science and technology are constantly changing, and genetically modified engineering is gradually entering our lives, affecting our lives. Food is one aspect of it. The application of genetically modified technology in food is increasingly attracting people's attention. The research method used in this article is a literature review, which studies the benefits and disadvantages of genetically modified technology on food, as well as the advantages and disadvantages of genetically modified technology on food, and our measures. Advantages: Increase crop yield and quality, and improve nutritional value. Disadvantages have an impact on human health or the management and use of genetically modified foods, the following targeted measures can be taken: strict safety assessment and supervision, strengthening research and development, etc. The conclusion of this study is to continue to refine genetically modified technology and comprehensively strengthen the regulation of genetically modified foods, to benefit humanity better. The study provides suggestions about public health security, food safety, and supply, accumulation of scientific knowledge

Analysis of Factors Affecting Road Transport Accidents of Hazardous Materials Based on PG-BN

To analyze the factors affecting road accidents involving hazardous materials, the Bayesian network (BN) model was used to fit the accident data. However, considering the possible overfitting phenomenon of the BN model, the model was optimised by combining Pearson’s chi-squared test and Granger causality test (PG) methods. First, the data of hazardous materials accidents were preprocessed, and the index system of factors affecting hazardous materials road transport was constructed from five dimensions of “people, vehicles, hazmat, roads, and environment”; second, Pearson’s chi-squared test and the Granger causality test were used to screen the factors affecting hazardous materials road transport accidents and to determine the causal relationship between the factors; finally, the BN model was constructed with accident severity and accident processing time as target nodes, and the results were analyzed and validated. The results show that the overall relative error rate of the model is less than 10% and can be used to explore the risk factors of hazardous materials transport accidents; weather, visibility, lighting, intersection type, road condition, road type, driver condition, vehicle type, etc. are all important factors affecting the severity of hazardous materials transport accidents. The study can serve as a reference for the safety supervision and management of hazardous materials transport enterprises and industrial management departments.