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Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2015)

作者： Li Xiao-hui Nanchang Hangkong Univ Nanchang 330063 Peoples R China

ISBN: (纸本)9781467371438

Based on the analysis of large number cases, the essay finds that there are many problems on site management of Chinese construction projects in the present. Though analytic hierarchy process(AHP) method, the essay summarizes the main problems related to schedule, quality and safety. Because construction is a complicated system and every aspect is closely integrated. The management of construction site is especially important. This essay tries to summarize the problems of construction site management and analyze the reasons, hoping to give some reference to operators and managers.

关键词： On Site Management Construction Project analytic hierarchy process method

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Evaluation Analysis of Intensive Design of Campus based analytic hierarchy process method

Evaluation Analysis of Intensive Design of Campus based Anal...

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3rd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2013)

作者： Wang, Yang Zhu, Mei Qiu, Sunjian Sun, Ping S China Univ Technol Architectural Design Res Inst Guangzhou Guangdong Peoples R China

ISBN: (纸本)9783037857762

This article aims to establish a scientific, quantifiable and workable comprehensive evaluation index system for the tendency of intensive design of the contemporary campus. The evaluation system of intensive design is divided into four levels and related indicators, including location selection, natural climate adaptation and eco-technology, and determine weight value of each indicator by using analytic hierarchy process method. The conclusion is that the weight of the location selection is the highest, following by the eco-technology, and the natural climate adaptation is the least important. Then it clears the development direction and goals of the intensive design of campus and sums up the points of campus intensive design.

关键词： Intensive design evaluation analytic hierarchy process method

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Critical test scenario generation for autonomous vehicles using reinforcement learning

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TRANSPORTMETRICA A-TRANSPORT SCIENCE 2025年

作者： Zhang, Shengpeng Sun, Xiaoran Li, Gang Pan, Yongjun Tak, Taeoh Liaoning Univ Technol Sch Automobile & Traff Engn Jinzhou 121001 Peoples R China Kangwon Natl Univ Dept Mech & Biomed Engn Chunchon 24341 South Korea Chongqing Univ Coll Mech & Vehicle Engn Chongqing Peoples R China

Scenario-based testing is widely used to evaluate the safety and performance of autonomous vehicles. However, the criticality of the adopted scenarios must be evaluated qualitatively and objectively to ensure that the tests are effective and efficient. Critical test scenarios have traditionally been generated using reinforcement learning (RL) with tailored reward functions. However, the complexity of real-world traffic environments and diversity of potential influencing factors pose challenges when designing effective reward functions. This paper proposes a novel method for generating critical test scenarios that combines RL and the analytic hierarchy process (AHP), and considers various potential influencing factors. In the case study, the modified AHP method exhibited a higher correlation between the risk index (RI) and the performance metrics and achieved better correlation coefficients than the conventional AHP method. The proposed approach can effectively evaluate the autonomous driving functions in near-collision situations and quantify the potential risks of the test scenario.

关键词： Autonomous vehicles critical test scenarios reinforcement learning analytic hierarchy process method

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Research on constructing a safety assessment model for the "Environment-Psychology" space in urban villages based on CPTED theory

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JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING 2025年第3期24卷 1945-1964页

作者： Li, Han Deng, Yuanyuan Chang, Jiang China Univ Min & Technol Sch Architecture & Design Xuzhou Jiangsu Peoples R China China Univ Min & Technol Sch Architecture & Design South Lake Campus Xuzhou Jiangsu Peoples R China

This study aimed to develop an "environment-psychological" safety assessment model for urban villages. The objective was to create a comprehensive safety evaluation and identify key influencing factors. To start, establish a spatial environmental safety assessment system for urban villages, drawing on the six principles of Crime Prevention Through Environmental Design (CPTED) theory. Use analytic hierarchy process and Bayesian network analysis for determining weights and scores. The research findings reveal that: 1) The safety of the spatial environment in urban villages is directly induced by factors such as "natural surveillance" and "image maintenance" while being indirectly impacted by factors like "territoriality" and "access control." Notably, the effects of activity support and target hardening on spatial environmental safety are found to be insubstantial. 2) Z urban village in Xuzhou city has a level IV spatial environmental safety rating. Factors include line-of-sight transparency, environmental hygiene, and road layout. The proposed optimization measures include improving space layout, enhancing surveillance levels, and maintaining a favorable environment for crime prevention. This study aids decision-makers in establishing priority sequences for spatial planning during urban village renewal. The "Environment-Psychology" model enhances the explanatory power of environmental factors on psychological elements and can aid in spatial optimization strategies.

关键词： analytic hierarchy process method Bayesian networks method security crime-prevention environmental design

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The gas production characteristics and catastrophic hazards evaluation of thermal runaway for LiNi 0.5 Co 0.2 Mn 0.3 O 2 lithium-ion batteries under different SOCs

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JOURNAL OF ENERGY STORAGE 2024年 88卷

作者： Qi, Chuang Liu, Zhenyan Lin, Chunjing Liu, Xi Liu, Dinghong Li, Zhaoyang Yi, Aibin Chongqing Univ Technol Key Lab Adv Mfg Technol Automobile Parts Minist Educ Chongqing 400054 Peoples R China Guangxi Univ Sci & Technol Guangxi key Lab Automobile Components & Vehicle te Liuzhou Peoples R China CATARC Changzhou Automot Engn Res Inst Co Ltd Changzhou Peoples R China CATARC Automot Test Ctr Changzhou Co Ltd Changzhou Peoples R China

Lithium -ion batteries (LIBs) are widely used as electrochemical energy storage systems in electric vehicles due to their high energy density and long cycle life. However, fire accidents present a trend of frequent occurrence caused by thermal runaway (TR) of LIBs, so it is especially important to evaluate the catastrophic hazards of these LIBs. This study conducted the adiabatic TR test coupled gas production test, Gas Chromatography -Mass Spectrometry test, and explosion limit test on a commercial LIB with Ni 0.5 Co 0.2 Mn 0.3 as the cathode material at different states of charge (SOCs). The results show that the TR temperature and the maximum temperature at low SOC are lower compared to that at a high SOC. The probability of LIBs TR at less than SOC = 50 % is small and also causing less harm. For the gas production characteristics, the lower the SOC of the battery, the lower the gas production volume. The peak and steady-state gas production increase with the increase of SOC. For the mixed gases generated during TR, the content of CO 2 shows a trend of decreasing with the increasing of battery SOC, while that of H 2 and CO increase with the increasing of SOC. For the explosion limit of the mixed gas, the lower explosion limit and upper explosion limit decrease and increase with the increasing of SOC, respectively. Finally, based on the seven parameters related to the TR gas production of LIBs and so on, the analytic hierarchy process method was used to establish a LIB TR disaster -causing hazard evaluation system. The evaluation system can quantitatively evaluate the thermal safety of a LIB. This is instructive for establishing a comprehensive quantitative evaluation method for battery safety in practical engineering applications.

关键词： Lithium -ion battery Thermal runaway Gas production Catastrophic hazards analytic hierarchy process method

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Fracability Evaluation Based on the Three-Dimensional Geological Numerical Simulation of In Situ Stress: Case Study of the Longmaxi Formation in the Weirong Shale Gas Field, Southwestern China

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MATHEMATICAL GEOSCIENCES 2022年第6期54卷 1069-1096页

作者： Li, Ze Li, Gao Yu, Hao He, Long Jiang, Zujun Li, Hongzhi Gong, Hanbo Southwest Petr Univ State Key Lab Oil & Gas Reservoir Geol & Explorat Chengdu 610500 Sichuan Peoples R China Sinopec Southwest Oilfield Co Chengdu 610051 Sichuan Peoples R China

Quantitative evaluation of fracability is essential for hydraulic fracturing design, with the distribution of in situ stress being a key parameter. This study focused on evaluating fracability based on three-dimensional (3D) geological numerical simulation of in situ stress. First, a 3D geological model was established based on seismic data and the geological setting of a field of interest. Thereafter, the anisotropy of the mechanical parameters and boundary conditions was used to calculate the in situ stress on the 3D model. The analytic hierarchy process (AHP) method was then used to calculate the fracability related to the horizontal stress difference coefficient, rock mechanical brittleness, silicon content, cohesion, and internal friction angle. The horizontal stress difference coefficient was obtained by 3D geological numerical simulation, and the remaining parameters were obtained from logging data. The results revealed that the mechanical parameters exhibited significant anisotropy within the field of interest. The in situ stress depended on the structural depth and anisotropy of the mechanical parameters. The fracability index along the well trajectory differed at different well depths. The calculation results were verified using the Meijer G-function. With the parameters used in the AHP method, the in situ stress was determined by a 3D geological numerical simulation, logging data, and laboratory experiments, from which the fracability index was obtained. The results verified by the Meijer G-function indicated that obtaining the fracability index based on the 3D geological numerical simulation of in situ stress was advantageous with respect to complex formations.

关键词： Fracability evaluation Three-dimensional geological model In situ stress analytic hierarchy process method

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Research on Optimal Design of Campus Space Based on POE Concept: A Case Study of Anhui Xinhua College

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Journal of Landscape Research 2024年第2期16卷 15-17,24页

作者： XU Huaxue ZHAO Zhiyan ZHU Rong NIU Song Department of Architecture and Landscape Design Anhui Xinhua UniversityHefeiAnhui 230088China

Through the analysis of the overall landscape,revetments and roads and plant landscape,10 evaluation factors were *** comprehensive evaluation model for the campus space of Anhui Xinhua University was constructed by analytic hierarchy process(AHP).The results showed that revetment safety,road convenience,plant disease resistance and campus activity space were important factors affecting the spatial form planning of *** the comparative analysis of the collected data,optimization suggestions were put forward to provide a basis for the establishment of“people-oriented”campus open space system.

关键词： Post occupancy evaluation analytic hierarchy process method Campus Space optimization

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Fuzzy Synthetic Evaluation Model for Smart Washing Machine

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American Journal of Operations Research 2023年第4期13卷 93-109页

作者： Samsun Nahar Marin Akter Khadiza Begum Mahede Ul Hassan Md. Abdul Alim Department of Basic Sciences and Humanities University of Asia Pacific Dhaka Bangladesh General Education Department City University Dhaka Bangladesh Computer Science and Engineering Department Prime University Dhaka Bangladesh Department of Mathematics and Statistics Bangladesh University of Business and Technology Dhaka Bangladesh Department of Mathematics Bangladesh University of Engineering and Technology Dhaka Bangladesh

Generally fuzzy control system (FCS) is worked in washing machine. For the fuzzy set theory, membership functions are the building blocks. In a fuzzy set, fuzziness is determined by its membership functions. The shapes of membership functions are important, because it has an effect on fuzzy inference system. The shapes of membership functions can be triangular, trapezoidal and gaussian. The most widely used triangular membership function is used in this paper, because it can capture the short time period. In washing machine, open loop control system is found. This paper applies a fuzzy synthetic evaluation method (FSEM) for washing cloth in washing machine as FSEM can handle the multiple criteria with the help of evaluation matrix generated from membership function and weight matrix generated by analytical hierarchy process (AHP). The purpose of this research is to minimize the wash time. By applying FSEM, we get a wash time which is less than that wash time got from applying the Mamdani approach in FCS. An example is given for illustration. For more reduction of wash time, statistical averaging method is also used. To reduce the wash time, statistical averaging method can be used in Mamdani approach also.

关键词： Fuzzy Control System Fuzzy Synthetic Evaluation method analytic hierarchy process method Mamdani Approach Statistical Averaging method

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Personalized Collision Avoidance Control for Intelligent Vehicles Based on Driving Characteristics

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WORLD ELECTRIC VEHICLE JOURNAL 2023年第6期14卷 158页

作者： Li, Haiqing Gao, Lina Cai, Xiaoyu Zheng, Taixiong Chongqing Univ Posts & Telecommun Sch Adv Mfg Engn Chongqing 400065 Peoples R China Chongqing Open Univ Chongqing Technol & Business Inst Chongqing 400065 Peoples R China

Collision avoidance has been widely researched in the field of intelligent vehicles (IV). However, the majority of research neglects the individual driver differences. This paper introduced a novel personalized collision avoidance control (PCAC) strategy for IV based on driving characteristics (DC), which can better satisfy various scenarios and improve drivers' acceptance. First, the driver's DC is initially classified into four types using K-means clustering, followed by the application of the analytic hierarchy process (AHP) method to construct the DC identification model for the PCAC design. Then, a novel PCAC is integrated with a preview-follower control (PFC) module, an active rear steering (ARS) module, and a forward collision control (FCC) module to ensure individual requirements and driving stability. Moreover, simulations verified the validity of the developed PCAC in terms of path tracking, lateral acceleration, and yaw rate. The research results indicate that DC can be identified effectively through APH, and PCAC based on DC can facilitate the development of intelligent driving vehicles with superior human acceptance performance.

关键词： collision avoidance driving characteristics K-means clustering analytic hierarchy process method adaptive model-predictive control intelligent vehicles

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Multifactorial condition assessment for power transformers

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IET GENERATION TRANSMISSION & DISTRIBUTION 2020年第9期14卷 1607-1615页

作者： Zhou, Lintao Hu, Tao Zhengzhou Univ Light Ind Sch Elect & Informat Engn Dongfeng Rd 5 Zhengzhou Peoples R China State Grid Jiangxi Elect Power Res Inst Nanchang Jiangxi Peoples R China

Accurately assessing the health condition of the power transformer is critical to improving the operational reliability of power systems. Although great efforts to improve the accuracy of transformer fault diagnosis, accurate detection of multiple latent faults is still a difficult problem. Therefore, a multifactorial condition assessment method based on fuzzy sets and factor space is proposed. Different from the previous diagnosis methods that only provide a single-valued result, the proposed method can display the influence degree of various variables on the condition assessment result, which indirectly indicates the cause and location of faults that occur in a transformer. In the proposed method, the type-2 fuzzy set is used to describe the evaluation of various test values and the multifactorial condition assessment model based on factor space is applied to integrate the condition information. A modified analytic hierarchy process method is developed to estimate the relative importance of attributes. This method can distinctly indicate multiple probable latent faults of the transformer and help engineers quickly determine the cause and location of faults, which is helpful to improve the accuracy of diagnosis and the efficiency of transformer maintenance. The effectiveness of this method is verified with case studies.

关键词： condition monitoring power transformers fuzzy set theory fault location maintenance engineering power system reliability analytic hierarchy process power transformer health condition power system reliability fault diagnosis multiple latent faults fuzzy sets factor space multifactorial condition assessment model analytic hierarchy process method transformer maintenance fault location

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