Establishing a river health evaluation index system for seven rivers in Jiamusi City of China.

The Jiamusi section of the Songhua River is one of the first 17 model river construction sections in China. The implementation of river health assessments can determine the health dynamics of rivers and test the management's effectiveness. Targeting seven rivers, this study conducted river zoning and monitoring point deployment to conduct sufficient field research and monitoring. The authors selected hydrological and water resources, physical structure, water quality, aquatic life, social service functions, and management as guideline layers and 15 indicator layers. Subsequently, the authors established an evaluation index system to evaluate and analyze the ecological status and social service status of each river. The results showed that the Yindamu, Alingda, and Gejie rivers scored well as healthy rivers, with health evaluation scores of 78.98, 76.06, and 75.83, respectively. The Wangsanwu, Lujiagang, and Lingdangmai rivers are generally sub-healthy rivers with scores of 71.55, 67.97, and 60.7, respectively. The Yinggetu River has a score of 54.52 and is therefore assessed as unhealthy. Based on the scientific evaluation index method, this study analyses the current river health state in Jiamusi City to provide the basis for the evaluation of the river chief's work and future river management.

Identifying ESG types of Chinese solid waste disposal companies based on machine learning methods.

In the context of China's efforts to combat climate change and promote sustainable development, the solid waste treatment industry's environmental, social, and corporate governance (ESG) performance is receiving significant attention. To comprehensively assess the ESG performance of the solid waste treatment industry and identify company types, this study constructs a targeted ESG evaluation index system based on existing literature, SASB industry standards, and company reports and utilizes a random forest approach combined with K-means clustering to determine indicator weights. Based on this index system, the paper evaluates the ESG performance of 71 solid waste disposal companies (SWDCs) from 2013 to 2021 and identifies their ESG types from static and dynamic perspectives. In the static view, company types are determined based on annual ESG performance, while the dynamic view considers time-series changes to observe the evolution of company ESG types. The results show that the overall ESG performance of SWDCs falls within the 2-8-point range, indicating a noticeable high-low imbalance. Key initiatives to improve ESG performance in this industry include enhancing waste management measures, developing emergency plans, and reinforcing ESG disclosure. From a static perspective, this paper can identify companies into three categories: delayed development, single-wheel-driven, and coordinated development. Finally, from a dynamic perspective considering the time factor, companies are further subdivided into five types: continual leading, growth catch-up, slow progress, fluctuating change, and retrogressive inertia. This study not only provides targeted recommendations for different types of ESG companies but also helps various sectors of society better understand the ESG conditions of this high environmental risk industry, thereby enhancing the regulation and support for its sustainable development.

Establishment of an Evaluation Index System of Competencies for College Senior Students in General Practice Medicine in Anhui Province, China.

Background: The competencies of college senior students in general practice medicine have attracted attention. This study aimed to construct an evaluation index system of competencies for college senior students in general practice medicine and to promote the reform and optimization of training programs for general medicine talent in colleges. Methods: The two-round Delphi method was used to determine the evaluation index system of competencies for college senior students in general practice medicine, and the analytic hierarchy process (AHP) was used to calculate the weights of all levels of elements. Results: The evaluation index system of competencies for college senior students in general practice medicine was established with 3 primary factors, 9 secondary factors and 32 tertiary factors. The Delphi results revealed that the active coefficient of experts was 1 and the authority coefficient was 0.858. The 3 primary factors were knowledge level, job skills and professionalism with weights of 0.1532, 0.4207 and 0.4261, respectively. Among the secondary factors, the top three weight coefficients were professional ethics (0.2614), community practice (0.1526) and communication skills (0.1308). Among tertiary factors, "scientific research" exhibited the lowest value with a weight coefficient of 0.0049. Conclusion: In this study, we constructed an evaluation index system of competencies for college senior students in general practice medicine. The consensus on the content of the competencies of college senior students in general practice medicine suggests that these elements are necessary for those who will become general practitioners. This system can be used as the basis to evaluate the ability of college senior students in general practice medicine and provide guidance for the cultivation and evaluation of general medicine talent.

Research on the evaluation system of "vegetation-atmosphere-water" environmental coordination development under ecological management.

As environmental issues on a global scale continue to worsen, all regions are pursuing ecological management and sustainable development strategies. The coordinated development of the "vegetation-air-water" environment is one of the most essential research topics in ecological governance. The purpose of this paper is to develop an evaluation system for the development of environmental governance in Shaanxi Province, as well as to evaluate the benefits of environmental governance in Shaanxi Province from 2012 to 2021 and its influencing factors. An index system for the coordinated development of "vegetation-atmosphere-water" is constructed, and the benefits and influencing factors of environmental governance are comprehensively analysed by using comprehensive analysis methods such as the coupled coordination model of the system and entropy weight TOPSIS. The results indicate that the development trend of the coupling coordination degree has evolved through the stages of "uncoordinated development at the early stage of governance, transformed development at the middle stage of governance, and coordinated development at the first success stage of governance." In addition, we identify the obstacles to the coordinated development of the environment and suggest appropriate countermeasures. The efficacy of environmental policy governance provides recommendations for future enhancements. It is important to note that ecological governance is influenced by both policy and nature; political influences, such as the switch from "returning farmland to forests" to "returning forests to farmland," will result in the destruction of the original good vegetation growth, which will significantly reduce the coordinated benefits of ecological governance. The original coordinated system will also be fractured, which is a problem worth contemplating. And policymakers, researchers, and practitioners can use the evaluation system and analysis method proposed in this paper as an effective tool to promote sustainable development and ecological governance.

[Health Assessment of the Stream Ecosystem in Beijing, China].

With economic development, the health of river ecosystems is becoming severely threatened because of the increasing effects of human activities on river ecosystems. Here, 101 sites along regional river systems in Beijing rivers were investigated from autumn 2020 to summer 2021. A total of 34 metrics, including aquatic organisms, hydrology, water quality, and habitat, were calculated to be the candidate indicators. Principal component and correlation analyses were used to select the core metrics from the candidate indicators, and the weight of each core metric was estimated using the entropy method. The integrated index of stream ecological health was constructed to assess the health condition of the Beijing rivers. The results of the PCA and correlation analyses revealed that eleven metrics were selected as the core metrics to construct the integrated index of stream ecological health, including water temperature, flow velocity, BOD5, NH4+-N, Cu, the density of phytoplankton and zooplankton, the Shannon-Wiener diversity index of macroinvertebrates and fish, the BMWP index, and the qualitative habitat evaluation index. According to the health assessment results, 4.95% of the sampling sites were healthy, 23.76% were subhealthy, and 71.29% were in a fair or below healthy state. The river health status showed strong spatial heterogeneity, and the river health statuses in the northern and western regions were relatively good, whereas the river health status in the central and southeastern regions were relatively poor. The results of four aspects stream ecosystem assessment showed that the overall water quality of the rivers was "subhealthy" and the aquatic organisms and habitat were "general poor," but the hydrology was "poor." The evaluation results of five water systems demonstrated that the Chaobai River had the best health status, followed by that of the Yongding River, Daqing River, and Jiyun River, and the Beiyun River had the worst health status. Maintaining river ecological baseflow, ensuring river system connectivity, and improving and restoring the river habitat environment are the key aspects of river ecological restoration and protection in Beijing in the future.

Developing an evaluation indicators of health literacy for cervical cancer among Chinese women: a modified Delphi method study.

BACKGROUND: Increasing women's health literacy is the key to preventing cervical cancer, and various tools have been developed to assess women's cancer health literacy. However, many of these tools come from other countries and have not been adapted to Chinese requirements. Furthermore, a system for evaluating cervical cancer health literacy among Chinese women has not been developed. Therefore, we sought to establish an evaluation index system for cervical cancer health literacy among Chinese women and to provide an effective evaluation tool for tertiary prevention of cervical cancer in China. METHODS: We invited 20 recognized experts to participate in two rounds of Delphi expert consultation, and the modified Delphi process with percentage weighting and multiplication was used. A literature review identified 67 potential indicators. Subsequent discussions within our research team led to the retention of 48 indicators following a rigorous screening process. On this basis, two rounds of Delphi expert consultation were conducted to rate and screen the indexes. Percentage weighting and multiplication were used to determine index weights. RESULTS: Twenty experts participated in the first-round Delphi consultations (95.23% recovery rate). In the second-round Delphi consultations, 20 questionnaires were returned (100%), and the expert authority coefficient was 0.93 ± 0.02. After both rounds of Delphi consultation, 4 first-level indicators, 9 second-level indicators, and 32 third-level indicators were identified for cervical cancer literacy among Chinese women. On a five-point scale, importance ratings ranged from 3.76 to 4.95 points, with variation coefficients ranging from 0.06 to 0.25, while sensitivity ratings ranged from 3.71 to 4.83 points, with variation coefficients ranging from 0.08 to 0.24. Across both rounds, Kendall's W coefficients ranged from 0.168 to 0.248. The weights of first-level indicators of basic knowledge and attitudes about cervical cancer, primary prevention of cervical cancer literacy, secondary prevention of cervical cancer literacy, and tertiary prevention of cervical cancer literacy were 0.257, 0.249, 0.251, and 0.243, respectively. CONCLUSIONS: We have developed the first tertiary prevention-based, comprehensive evaluation index system for cervical cancer literacy among Chinese women, which will provide theoretical support for cervical cancer prevention and health education programs.

Study on skin infection model of Staphylococcus aureus based on analytic hierarchy process and Delphi method.

Purpose: Infectious skin diseases are a type of inflammatory skin lesions caused by pathogenic microorganisms. Because of the uncertainty of methodology, the skin infection model usually have low replication rate and lack of good evaluation system. We aimed to establish multi-index and comprehensive evaluation method for Staphylococcus aureus (S.aureus) skin-infection models through Analytic hierarchy process (AHP) and Delphi method, and screen high quality animal models through it. Materials and methods: Firstly, the evaluation indicators of skin infection were collected basing on literature research. The weight of the evaluation indicators were decided according to AHP and Delphi method. Then different ulcer models (mouse or rat) infected by S. aureus were selected as the research objects. Results: The evaluation indicators were classified into four groups of criteria (including ten sub-indicators) and given different weights, physical sign changes (0.0518), skin lesion appearance (0.2934), morphological observation (0.3184), etiological examination (0.3364). Through the evaluation system, we screened and found that the mouse ulcer model which caused by a round wound and 1.0 × 1010 CFU/mL (0.1 mL) bacterial concentration got the highest comprehensive score, and also found that the model which caused by a 1.5 cm-round wound and 1.0 × 1010 CFU/mL (0.2 mL) maybe the best rat ulcer model. Conclusions: This study has established an evaluation system based on AHP and Delphi method, also provided the best skin ulcer models selected by this system, the models are suitable for disease research and drug development research of skin ulcer.

Research on the construction of the evaluation index system of game-based teaching.

This research aims to combine the pursuit of literacy cultivation with a focused investigation into the evidence of game-based teaching (GBT). To achieve this, the study employs a mixed-methods approach including the interview method, Delphi method, and network hierarchical analysis (ANP) to analysis Expert opinions and construct a comprehensive GBT evaluation index system. The results indicated that a comprehensive GBT evaluation index system is comprised of five primary indicators: teaching objectives, game-based teaching methods, teaching content, game-based teaching processes, and game-based teaching characteristics. Additionally, there are 19 secondary indicators, such as objective content, game presentation, context construction, and flow experience. This study expects to effectively capture the unique attributes of game-based classes and to assist teachers in improving the design of GBT activities in practical applications.

Improved method for benthic ecosystem health assessment by integrating chemical indexes into multiple biological indicator species-A case study of the Baiyangdian Lake, China.

A comprehensive and scientific assessment of benthic ecosystem health is key to the rational selection of endogenous pollution reduction technologies for lakes. However, current assessments are mainly limited to biological indicators and ignore the actual benthic ecosystem situations, such as the impact of eutrophication and heavy metal pollution, which may lead to the one-sidedness of the evaluation results. In this study, taking Baiyangdian Lake, the largest shallow mesotrophic-eutrophic lake in the North China Plain, as an example, the chemical assessment index and biological integrity index were first combined to estimate the biological conditions, nutritional status and heavy metal pollution of lakes. The indicator system incorporated three biological assessments (benthic index of biotic integrity (B-IBI), submerged aquatic vegetation index of biological integrity (SAV-IBI) and microbial index of biological integrity (M-IBI)) and three chemical assessments (dissolved oxygen (DO), comprehensive trophic level index (TLI) and index of geoaccumulation (Igeo)). Twenty-three attributes of B-IBI, fourteen attributes of SAV-IBI and twelve attributes of M-IBI were screened by range, responsiveness, and redundancy tests to keep the core metrics that were significantly correlated with disturbance gradients or showed strong discriminatory power between reference and impaired sites. The assessment results of B-IBI, SAV-IBI, and M-IBI showed significant differences in the response to anthropogenic activities and seasonal change, among which the submerged plants showed more significant seasonal differences. It is difficult to reach a comprehensive conclusion regarding the benthic ecosystem health status based on a single biological community. In comparison with biological indicators, the score of chemical indicators is relatively low. DO, TLI and Igeo provide an essential supplement for the benthic ecosystem health assessment of lakes with eutrophication and heavy metal pollution problems. Using the new integrated assessment method, the benthic ecosystem health of Baiyangdian Lake was rated as fair, especially the northern parts of the lake adjacent to the inflow mouth of the Fu River, which were in poor condition, indicating that the lake has experienced anthropogenic disturbance, resulting in eutrophication, heavy metal pollution and biological community degradation. Whether it's spring or summer, the integrated assessment method provides a more plausible and comprehensive view of benthic ecosystem health under the pressure of increasing human activities and changing habitat and hydrological conditions, overcoming the narrow perspective and uncertainties of the single-index method. Thus, it can assist lake managers in providing technical support for ecological indication and restoration.

Evaluation of ecological green high-quality development based on network hierarchy model for the demonstration area in Yangtze River Delta in China.

Introduction: The construction of the Yangtze River Delta ecological green development demonstration area aims to take the lead in exploring an eco-friendly development model, demonstrating and leading the higher quality integrated development of the Yangtze River Delta in China. Methods: Through literature research, expert inquiries, and policy documents as the guidance, this study builds an ecological green high-quality development evaluation system for the demonstration area, including building an index system composed of 4 first-class indicators, 16 second-class indicators and 42 third-class indicators derived from economy, society and environment system, determining the index weight through the network analytic hierarchy process, and establishing the comprehensive evaluation index (CEI) and differential diagnosis index (DDI) of high-quality development, which is based on the relevant theory of statistical comprehensive index. Results: The establishment of this system provides a complete theoretical support and scientific guidance for the comprehensive evaluation of high-quality ecological green development and more balanced development of the demonstration area; and it can point out the development direction for the subsequent development of the Yangtze River Delta. Discussion: However, due to the availability of data, there is still room for further improvement in this paper. In the future research, the model can be used to evaluate the high-quality development level of the demonstration area through the relevant data of the demonstration area.

SDGs-oriented evaluation of the sustainability of rural human settlement environment in Zhejiang, China.

Sustainable development of rural has become an essential global plan. Habitat sustainability assessment of rural is a critical management tool to grasp the development status of rural in real-time and enable dynamic adjustment of policies. This paper combines the 2030 Sustainable Development Goals (SDGs) with the entropy weight method, TOPSIS, and grey correlation analysis to construct a multi-criteria decision-making (MCDM) evaluation model, which is finally used to assess the sustainability of the rural human settlement environment. Finally, this paper uses the rural of 11 prefecture-level cities in Zhejiang Province in 2021 as a case study for rural human settlement environment sustainability evaluation. The results show that the overall rural human settlement environment sustainability level in Zhejiang Province is better than in most regions in China. Hangzhou has the best rural human settlement environment sustainability, and Zhoushan has the worst. In addition, the production environment factor is the critical factor that constrains sustainability. The study results provide references and guidance to policymakers for sustainable development initiatives.

Dynamic evaluation of low-carbon development in China's power industry and the impact of carbon market policies.

At the 75th session of the United Nations General Assembly, China clearly put forward the goals of "carbon peak" in 2030 and "carbon neutrality" in 2060. Achievement of carbon targets. Therefore, the goal of this paper is to analyze the low-carbon development level of China's power industry and study the impact of carbon market policies on the low-carbon development level of the power industry. Based on this, this paper first constructs the low-carbon development evaluation index system of the power industry around the connotation of low-carbon development in the power industry and uses the global principal component analysis model to measure the low-carbon development level of China's power industry. Then, the dynamic change trend and spatial distribution characteristics of the low-carbon development level of China's power industry are analyzed using kernel density estimation and the K-means clustering method. Finally, propensity score matching and difference-in-difference methods are used to analyze the impact of carbon market policies on the low-carbon development level of China's power industry. The results show that, first, the low-carbon development level of China's power industry generally shows an upward trend and a polarized development trend. Second, the low-carbon development level of China's power industry has regional effects and gradient effects. The low-carbon development level of the power industry from high to low is the eastern region, central region and western region. Third, carbon market policies can help improve the low-carbon development level of China's power industry. The research results provide some reference and guidance for the evaluation of the low-carbon development level of China's power industry and the improvement of carbon market policies.

Analyzing the Disaster Preparedness Capability of Local Government Using AHP: Zhengzhou 7.20 Rainstorm Disaster.

This study aimed to identify factors influencing disaster preparedness capability, measure and compare the relative importance of evaluation indicators of preparedness capability in a rainstorm disaster, and analyze the impact of these factors on disaster preparedness so as to improve disaster preparedness capability. The evaluation model was proposed by constructing the target level (the first level) as an indicator system; this was divided into four indicators (the second level): planning, organization, equipment, and education and exercise, and 14 tertiary evaluation indicators (the third level). The validity of the evaluation index system was demonstrated, and the weight of each level was calculated using the Analytic Hierarchical Process and expert survey methods, taking the example of the Zhengzhou "7.20" rainstorm to conduct an empirical analysis of the proposed model. The weak points of disaster preparedness capability were identified. The empirical analysis revealed that organization scored the highest, followed by planning, equipment, and education and exercise, indicating the lack of disaster management equipment and resources, disaster management training, and exercise and public emergency safety education. These results will help in future decision-making, as they provide a clear understanding of what needs to be done to improve disaster preparedness capability.

Research on Employment Quality Evaluation Index System of Medical Students based on Analytic Hierarchy Process / 中华医学教育探索杂志

Objective:To construct medical students' employment quality evaluation index system based on analytic hierarchy process (AHP), for providing basis to scientific and objective evaluation of medical students' employment quality.Methods:Two rounds of consultation with 21 experts were conducted to construct medical students' employment quality index and evaluation standard by Delphi method, and the weight of each index and evaluation standard determined by AHP. Excel 2007 and SPSS 21.0 were used to analyze the results of expert consultation. The enumeration data were expressed as frequency and percentage. The mean and coefficient of variation were used to describe the importance scores of experts on indicators at all levels. The positive coefficient, authority coefficient and coordination degree of experts were calculated, and the Kendall coordination coefficient ( W) test was carried out. Yaahp 6.0 is used to analyze the pairwise comparison matrix in the analytic hierarchy process to calculate the weight of the indicator. Results:The authority of expert consultation was ranged from 0.77 to 0.94, and the positive coefficient of experts was 100.00%. The evaluation system of medical students' employment quality was determined, which involved 3 first-class indexes, 9 second-class indexes and 35 third-class indexes, and the weight coefficients of each index were calculated by AHP.Conclusion:The evaluation index system of medical students' employment quality is reasonable, which can be used to provide reference standard for medical students' employment quality evaluation, and has certain application value.

On the evaluation index system of internship based on performance incentive mechanism and focusing on clinical ability training / 中华医学教育探索杂志

Objective:To improve the clinical ability of interns by establishing the evaluation index system focusing on the training of clinical competence, and to construct the performance incentive mechanism based on the index system.Methods:The subjective evaluation method and expert consultation method were used to construct 5 first-class indexes and 15 second-class indexes. And the indexes and score setting were consulted by experts through questionnaires and in-depth interviews.Results:According to the feedback results of expert consultation, the scores of teaching ward-rounds and small lectures in the index system were need to adjust. At the same time, the minimum graduation standards were set to determine whether to participate in the final examination.Conclusion:The scores of teaching ward-rounds and small lectures have been raised, the scores of case discussion lowered, and the final examination scores are not included in the minimum standards. After the establishment of the initial index system, a series of supporting measures, including two-way selection of tutors, postgraduate reexamination, and other policies, have been carried out for performance incentives. At the same time, new teaching methods, student-oriented teaching activities, and formative evaluation have been adopted to actively improve the clinical competence of interns.

Preliminary Construction of Evaluation Index System for Traditional Chinese Medicine Medicated Diet based on Delphi Method and Analytic Hierarchy Process / 中医杂志

ObjectiveTo build an evaluation index system for traditional Chinese medicine （TCM） medicated diet， promoting the scientific and standardized development of medicated diet in TCM. MethodsThe framework of the evaluation index system was constructed through literature review and Delphi expert consultation method. The analytic hierarchy process was used to construct a hierarchical structure model. Pairwise comparisons between the indicators were conducted using the Saaty 1-9 scale method， and the weight of each indicator was calculated using Yaahp 10.3. ResultsThe response rates for the two rounds of expert consultation were 93.33% and 100%， respectively. The Kendall's W coefficients for the first-level and second-level indicators in the second round were 0.270 and 0.281， respectively （both P＜0.001）. Finally， an evaluation index system for TCM medicated diet therapy was constructed， consisting of 6 primary indicators and 27 secondary indicators. The weightings of the primary indicators were as follows： sensory appearance （0.1843）， health value （0.3569）， ingredient compatibility （0.1271）， packaging （0.0370）， production and preparation （0.1005）， and reliability （0.1940）. ConclusionA comprehensive and universally applicable evaluation index system for TCM medicated diet has been developed， taking into conside-rations of color， taste， appearance， efficacy， preparation， quality and others. This system can provide valuable reference for the evaluation of the value of medicated diet as well as its development.

Construction of the evaluation index system for pharmacist training effectiveness based on Kirkpatrick evaluation model / 药学实践杂志

Objective To construct the evaluation index system for pharmacist training effectiveness in China. Methods The initial framework of index system based on Kirkpatrick evaluation model was constructed through literature research and expert interview method. Delphi method was used to analyze the index system. Results The evaluation index system for pharmacist training effectiveness in China included 4 first-level indicators, reaction evaluation, learning evaluation, behavior evaluation and result evaluation, 9 second-level indicators, training scheme, teaching staff, training conditions, theoretical knowledge, practical skills, the change of work ability, the change of professional attitude, personal income and organizational income, as well as 32 third-level indexes such as pharmaceutical professional knowledge. Conclusion This evaluation index system for pharmacist training result is highly scientific and systematic. It covers the whole-process and follow-up evaluation of the training activities. It can optimize the pharmacist training schedule and improve the program design for the effective pharmacist training evaluation.

Comprehensive Evaluation of University Safety Culture Construction Level Based on "2-4" Model.

Based on the "2-4" model of accident causation, a comprehensive index system of the safety culture construction level in colleges and universities is set up. This system consists of 4 primary indicators and 28 secondary indicators. Taking a university as an example, applying the analytic hierarchy process and fuzzy comprehensive evaluation method, this study establishes a comprehensive evaluation model to evaluate the construction level of the university's safety culture. The results show that the construction level of the university's safety culture is consistent with the actual situation. This study provides useful insights and feasible paths for promoting the safety and stability of colleges and universities and building a higher level of safety on campus.

Study and Application of Urban Aquatic Ecosystem Health Evaluation Index System in River Network Plain Area.

The evaluation index system of urban aquatic ecosystem health is of great significance for the assessment and management of urban river networks, and for urban development planning. In this paper, the concept of urban aquatic ecosystem health was analyzed by the relationship between human, city and aquatic ecosystem, and its evaluation index system was established from environmental conditions, ecological construction, and social service. In addition, the weight value of each index was calculated by the analytic hierarchy process, and the grading standard of each index was set. Jiading New City, a typical city of the river network plain area in Yangtze River delta, was selected as the aquatic ecosystem health evaluation sample. The fuzzy comprehensive method was used to evaluate the aquatic ecosystem health of Jiading New City. The results indicated that the water ecosystem health of Jiading New City reached the "good" level. For the criterion level, environmental conditions and ecological construction reached the "good" level, and social services reached the "excellent" level. For the indicator level, most indicators reached "good" and "excellent" levels, but the river complexity and benthic macroinvertebrate diversity are still in the "poor" state, which indicates that the aquatic environment has greatly improved, but the aquatic ecosystem has not been fully restored. Results suggested that river complexity and biodiversity should be increased in urban construction planning. The evaluation index system established in this paper can be used to reflect the urban aquatic ecosystem health conditions in river network plain areas.

Security Risk Intelligent Assessment of Power Distribution Internet of Things via Entropy-Weight Method and Cloud Model.

The current power distribution Internet of Things (PDIoT) lacks security protection terminals and techniques. Network security has a large exposure surface that can be attacked from multiple paths. In addition, there are many network security vulnerabilities and weak security protection capabilities of power distribution Internet of Things terminals. Therefore, it is crucial to conduct a scientific assessment of the security of PDIoT. However, traditional security assessment methods are relatively subjective and ambiguous. To address the problems, we propose to use the entropy-weight method and cloud model theory to assess the security risk of the PDIoT. We first analyze the factors of security risks in PDIoT systems and establish a three-layer PDIoT security evaluation index system, including a perception layer, network layer, and application layer. The index system has three first-level indicators and sixteen second-level indicators. Then, the entropy-weight method is used to optimize the weight of each index. Additionally, the cloud model theory is employed to calculate the affiliation degree and eigenvalue of each evaluation index. Based on a comprehensive analysis of all evaluation indexes, we can achieve the security level of PDIoT. Taking the PDIoT of Meizhou Power Supply Bureau of Guangdong Power Grid as an example for empirical testing, the experimental results show that the evaluation results are consistent with the actual situation, which proves that the proposed method is effective and feasible.