scholarly journals Design and Application of a Case Analysis System for Handling Power Grid Operational Accidents Based on Case-Based Reasoning

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 91
Author(s):  
Xiaopeng Yu ◽  
Changqing Xu ◽  
Dan Lu ◽  
Zeyu Zhu ◽  
Zhipeng Zhou ◽  
...  
Keyword(s):  
Safety Management ◽  
Power Grid ◽  
Power Grids ◽  
Case Based Reasoning ◽  
Matching Process ◽  
Grid Database ◽  
Analysis System ◽  
Safety Operation ◽  
Accident Case ◽  
Case Based

In recent years, power grid accidents have occurred frequently and higher requirements have been placed on their safety operation. In current safety management in the world, there is an effective practice that uses a unified standard for structuring an accident case database and based on that database, conducts quantitative analysis to cope with accident risks. However, that is not the case for power safety management. Case-based reasoning (CBR) is such a process that solves new problems based on the solutions to similar past problems. It works by matching a current problem with historical cases and solutions in a database, in order to obtain similar case solutions or inspirations. In the matching process, if necessary, such past solutions may be modified in order to better adapt to the current actual problems. Based on the CBR method, this paper proposes how to construct a case database of power grid operational accidents, provide data support for management of power grid risks and provide knowledge services for accurate grasping of grid accident development dynamics and making quick decisions to rapidly response to the emergencies. First, it designs an operational accident case database after considering the following three aspects: case features, power grid features and accident features based on safety management theory. Secondly, in terms of how to use the power grid operational accident case database, it proposed a two-level search strategy, as well as the corresponding similarity calculation methods for different feature attributes of the case. Finally, it carried out a demonstration to verify the model by selecting four typical grid accidents. The grid database and CBR strategy proposed in this article could help China’s power grids practice intelligent analysis of grid operational accidents and improve digitalization in safety management.

Building the CBR-Based Identification System Framework for Construction Accident Precursors

2011 ◽  
Vol 255-260 ◽  
pp. 546-550 ◽  
Author(s):  
Xian Zhi Liu ◽  
Ting Sheng Zhao ◽  
Kai Xiao
Keyword(s):  
Safety Management ◽  
Identification System ◽  
Case Based Reasoning ◽  
Construction Sites ◽  
System Framework ◽  
Accident Case ◽  
Case Based ◽  
Historical Accident

Construction accident precursors(CAPs) are potential upcoming accident signals and offer the possibility for improving safety management performance. Case-based reasoning (CBR) as an artificial intelligence(AI) tools can be used to improve the efficiency and quality of CAPs identification. This paper developed a system framework for identifying CAPs on construction sites using CBR. There were ten indicators, including six problem indicators and four solution indicators were identified to describe the CAPs case between the accident characteristics and corresponding precursors. Especially, a technique case-based adaptation was implemented in the adaptation stage of CBR called inner CBR and three indicators were identified to describe the adaptation case. Eventually, the CAPs identification system framework was presented and a case study based on actual accident case from US Department of OSHA was used to illustrate how to seek CAPs.This research provides a new way to acquire more useful information from historical accident records in order to improve safety on construction sites for future ongoing project.

Case Representation and Organization Studies on Case-Based Reasoning Maintenance Resources Requirement Analysis

2013 ◽  
Vol 389 ◽  
pp. 698-702
Author(s):  
Xiao Chen ◽  
Ling Chen ◽  
Wo Ye Liu ◽  
Fei Han
Keyword(s):  
Prototype System ◽  
Case Based Reasoning ◽  
Requirement Analysis ◽  
Organization Studies ◽  
Case Representation ◽  
Relation Database ◽  
Analysis Process ◽  
System Perfection ◽  
Analysis System ◽  
Case Based

To improve the efficiency of planning maintenance resources requirement, the artificial intelligent (AI) technology, especially Case-Based Reasoning (CBR) is applied into maintenance resources requirement analysis process, the process is introduced, and the critical techniques of which, such as case representation and organization etc, are discussed in detail, according to the case characteristics, analyzed the cases main ingredient, cases representation and organization which is based on Relation Database and Object Oriented are detailed discussed, the development of case-based maintenance resources requirement analysis prototype system proved the validity of the technique, formed the foundation for the case-based maintenance resources requirement analysis system perfection.

scholarly journals Developing A Case-Based Reasoning Model for Safety Accident Pre-Control and Decision Making in the Construction Industry

2019 ◽  
Vol 16 (9) ◽  
pp. 1511 ◽  
Author(s):  
Yikun Su ◽  
Shijing Yang ◽  
Kangning Liu ◽  
Kaicheng Hua ◽  
Qi Yao
Keyword(s):  
Decision Making ◽  
Safety Management ◽  
Construction Safety ◽  
Case Based Reasoning ◽  
Prevention Measures ◽  
Proposed Model ◽  
Unsafe Behavior ◽  
Safety Accident ◽  
Construction Safety Management ◽  
Case Based

Case-based reasoning (CBR) has been extensively employed in various construction management areas, involving construction cost prediction, duration estimation, risk management, tendering, bidding and procurement. However, there has been a dearth of research integrating CBR with construction safety management for preventing safety accidents. This paper proposes a CBR model which focuses on case retrieval and reuse to provide safety solutions for new problems. It begins with the identification of case problem attribute and solution attribute, the state of hazard is used to describe the problem attribute based on principles of people’s unsafe behavior and objective’s unsafe state. Frame-based knowledge representation method is adopted to establish the case database from dimensions of slot, facet and facet’s value. Besides, cloud graph method is introduced to determine the attribute weight through analyzing the numerical characteristics of expectation value, entropy value and hyper entropy value. Next, thesaurus method is employed to calculate the similarity between cases including word level similarity and sentence level similarity. Principles and procedures have been provided on case revise and case retain. Finally, a real-world case is conducted to illustrate the applicability and effectiveness of the proposed model. Considering the high potential for pre-control and decision-making of construction safety accident, the proposed model is expected to contribute safety managers to take decisions on prevention measures more efficiently.

Research on the Supplementary Analysis System Based on CPS Standard

2012 ◽  
Vol 503-504 ◽  
pp. 1605-1608
Author(s):  
Hua Ting Tao ◽  
Li Li Ji
Keyword(s):  
Frequency Control ◽  
Power Grid ◽  
Influence Factors ◽  
Power Grids ◽  
Performance Standard ◽  
Control Performance ◽  
Control Performance Standard ◽  
Pros And Cons ◽  
Analysis System ◽  
Main Influence

CPS test standard has put forward new demands to the management of power grids. This paper analyzes the main influence factors of CPS, and introduces the way of building data warehouse and constructing supplementary analysis system on this basis, which can effectively help power grid workers to research the pros and cons in dispatch and operation. The application of the supplementary analysis system is helpful for Shanghai power grid to enhance AGC control and frequency control ability under the control performance standard.

scholarly journals Case Based Reasioning (CBR) for Medical Question Answering System

2018 ◽  
pp. 113-118 ◽  
Author(s):  
Setio Basuki ◽  
Alfira Rizky ◽  
Galih Wasis Wicaksono
Keyword(s):  
Test Data ◽  
Question Answering ◽  
Case Based Reasoning ◽  
Question Answering System ◽  
Matching Process ◽  
Validation Testing ◽  
Expert Validation ◽  
System Knowledge ◽  
Case Based

In this research, the researchers implement a medical Question Answering System (QAS), a complaint system in the form of sentences or paragraphs of questions about the complaint (illness) suffered by a person. Afterwards, the system will give answer to the questions with answers in the form of diagnosis based on the system knowledge. The system in this study has knowledge of the system obtained based on Case Based Reasoning (CBR) method from the previous cases stored in the database. When there is a new case, the system will perform a matching process using CBR and Sorenson Coefficient calculations to find out which the previous cases have the highest percentage of matches with the new case. Then the selected previous cases will be taken and given to the new case. Testing is processed by using 2 types of testing, expert validation testing with result of 28 data of appropriate test from 30 test data and accuracy testing resulting of 93,33% from the appropriate test data.

A Novel Analysis System for Urban Construction Information Based on Case-Based Reasoning

2016 ◽  
Vol 10 (5) ◽  
pp. 321-332 ◽  
Author(s):  
Guanlin Chen ◽  
Yizhe Lu ◽  
Qun Liu ◽  
Ting Zhang
Keyword(s):  
Case Based Reasoning ◽  
Urban Construction ◽  
Analysis System ◽  
Case Based

Research on the NC Machine Fault Diagnosis and Repair System with Case-Based Reasoning

2013 ◽  
Vol 401-403 ◽  
pp. 1243-1246 ◽  
Author(s):  
Jian Bo Zhao
Keyword(s):  
Fault Diagnosis ◽  
Case Based Reasoning ◽  
Repair System ◽  
Widespread Application ◽  
Machine Failure ◽  
Machine Fault Diagnosis ◽  
Nc Machine ◽  
Machine Fault ◽  
Analysis System ◽  
Case Based

Since the widespread application of NC machine, fault diagnosis and repair of NC machine has been the subject of attention. Now both at home and abroad has a number of new concepts and methods to the field. The application of CBR technology in NC machine fault diagnosis analysis system is a very good exploration and research. Application of CBR technology is based on similarity of NC machine failure, using the method of case-based reasoning to identify the reference case, diagnosis method with reference to the case to find a reasonable solution. The CBR technology is applied to diagnose faults of CNC system, the accumulation of collection is convenient for the experts' experience, the fault diagnosis analysis system is more practical.

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