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The Key Issues Of Intelligent Supervision Of Urban Integrated Pipeline Corridor For Multi-Source Data Integration

Posted on:2023-09-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:P XiaoFull Text:PDF
GTID:1522307307989019Subject:Management Science
Abstract/Summary:PDF Full Text Request
Urban integrated pipeline corridor(hereinafter referred to as integrated pipeline corridor)is a variety of engineering pipelines such as electric power,communications,gas,heating,water supply and drainage in one,with maintenance,lifting and monitoring facilities,the implementation of unified planning,unified design,unified construction,unified management of underground tunnel space,its operation and management of the "urban lifeline system" safety The operation of the "city lifeline system" is vital.With the increase in the scale of construction of the integrated pipeline corridor,the increase in the main body of the pipeline in the corridor,how to effectively improve the management capacity of the integrated pipeline corridor,to ensure the safe and stable operation of the corridor after it is put into use,is the urgent need to face and solve the problem of the integrated pipeline corridor after it is put into use.At present,the problems brought about by the decentralized supervision of integrated pipe corridors are becoming more and more prominent,such as the difficulty of secondary use of data,unclear responsibility of the main body of the corridor,the difficulty of government supervision and the difficulty of unified emergency management.In view of the problems of decentralized management of integrated pipeline corridors,this dissertation will explore the application mode of centralized supervision of integrated pipeline corridors at city level.Centralized supervision brings benefits at the same time,there are also some problems to be solved:(1)the subject is diverse,higher regulatory requirements.Comprehensive pipeline corridor involves a number of pipeline units,each comprehensive pipeline corridor operating companies,the management of the pipeline units of the institutional mechanism is diverse,resulting in data is not uniform,information is not interoperable,comprehensive coordination is difficult.(2)Many factors,daily control is difficult.There are many systems inside the corridor,many types of pipelines entering the corridor,many people entering the corridor,and its sources of danger are also more complex,the problem of one pipeline is likely to affect the safety of other pipelines,which will produce the "butterfly effect".(3)Complex environment,risk management needs urgent.Comprehensive pipeline type complex,complex environment,its security situation is also more complex,often need to achieve emergency linkage between the systems to deal with all kinds of complex coupled emergencies.Most of the current studies on urban pipeline safety risks focus on the accident risk of a single pipeline or a single risk study,which no longer meets the current needs for composite and coupled risk prediction and disposal of integrated pipeline corridors,especially the requirements for safety disposal in the context of intelligent operation and management.With the development of artificial intelligence technology,data transmission technology and big data analysis technology,data collection and analysis for the integrated pipeline corridor internal and external has become possible,in view of this,this dissertation will study the risk prevention and control and emergency response technology for multi-layered composite integrated pipeline corridor hidden risks,in order to solve the problems of centralized equipment management,personnel management and coupled emergency response and decision-making in the process of daily operation and maintenance,to achieve multi-level centralized management of integrated pipeline corridor,urban refinement management,intelligent management and collaborative emergency coupling.The main contents of this dissertation specifically include.(1)The regulatory system based on the synergy theoryThe main task is to build a multi-level collaborative supervision system of integrated pipe corridor and complete the top-level design in the process of centralized management of integrated pipe corridor.In view of the characteristics of multiple subjects and multiple elements in the operation and management of the integrated pipe corridor,the dissertation will study the mutual cooperation,collaboration and coordination between the government and the pipe corridor enterprise,between various government departments,between the pipe corridor enterprise and the owner unit,and between different pipe corridor owner units under the normal operation and maintenance warning and extraordinary(emergency)management of the integrated pipe corridor,as well as the mutual interference and constraints in the system by using the method of circle structure theory and principal-agent science.and constraints,etc.,to ensure the safety of integrated pipe corridor operation as the basic principle.(2)Data management method based on business logicThe main task is to research data storage,data cleaning and data application technologies to solve the data management problems in the process of centralized management of integrated pipeline corridor.The dissertation will design efficient data access,scheduling,rendering mechanism,parallelized pipeline corridor modeling technology and processing algorithm to realize real-time simulation and emulation of large-scale virtual integrated pipeline corridor;study multi-level transmission mechanism of integrated pipeline corridor operation and maintenance information among supervisory departments,operation and maintenance units and pipeline units,and realize accurate information pooling and distribution mechanism of different units.(3)Risk management model based on method fusionThe main task is to study the key technologies involved in personnel management and equipment management to meet the daily operation and emergency collaboration needs in the process of centralized management of integrated pipeline corridors.Combined with the traditional machine learning process can discern the safety status of important nodes and staff in the corridor in real time,effectively reducing the probability of equipment failure;by studying the SEIRS model of infectious diseases,the data of each monitoring point of the urban integrated corridor is analyzed to determine whether there is a potential risk,to monitor the risk status and check the risk transmission;establish a risk assessment model of the integrated corridor,study the integrated risk distribution rules and characteristics of the pipe corridor,to achieve transparent display of risk distribution and accurate control.Possible innovative points of the article include.(1)Multi-body principal-agent relationship of comprehensive pipeline corridor wisdom supervision.Based on the principal-agent theory,this dissertation constructs a multi-level cooperative supervision system model of integrated pipeline corridor with clear hierarchy,data sharing and cooperative supervision.This dissertation uses the principal-agent theory to study the mutual cooperation,collaboration and coordination between the government and the corridor enterprise,the corridor enterprise and the owner unit,as well as the mutual interference and constraints in the system,to guarantee the safety of the operation of the integrated corridor as the basic principle,and to build a "clear hierarchy,data sharing,collaborative supervision" of the integrated corridor multi-level Cooperative supervision system model,to meet the different management needs of each level and all kinds of management subjects for the integrated pipeline corridor.(2)Fusion of data based on multi-data integrated pipe corridor wisdom supervision.From multiple data fusion,feature extraction of equipment failure rate and multiobjective optimal control,the dissertation could design an intelligent control system for integrated pipe corridor environment based on equipment failure rate to achieve optimal control under the condition of lowest equipment failure rate and minimum energy consumption;divide the long monitoring video into multiple parts,then extract functions for each part based on Center Net,and further apply MIAUC is applied to the loss function model;a new large-scale dataset is constructed based on the surveillance videos in the integrated corridor;finally,the MIAUC proposed in this study outperforms other benchmark methods by validating on real datasets.(3)Coupled analysis of risk of intelligent supervision in integrated pipe corridor based on intelligent algorithm and simulation technology.By constructing a domain ontology knowledge base for the construction safety risks of integrated pipeline corridors,the preservation,sharing and reuse of empirical knowledge are realized,and the business logic layer workflow of the case inference module is designed with the support of the data layer of the management model with the domain ontology knowledge base as the core;the potential risk factors in the regulatory process are identified and analyzed by the improved FMEA method,and the risk priority of failure modes are ranking;the SEIRS model was used to analyze the data of each monitoring point to monitor the risk status and check the risk transmission;the simulation experiments of the model were conducted using the system dynamics model,and the sensitivity analysis of the parameters was carried out several times,which led to the critical risk factors,and several risk paths that seriously affect the total risk level.In conclusion,the research can deeply study the management technology and data processing technology of urban integrated pipeline corridor collaborative supervision from the perspective of government governance and technology implementation;form a unified technical architecture standard of multi-level collaborative supervision based on big data,intelligent algorithm and sensing technology,which is conducive to the sound and rapid development of urban integrated pipeline corridor industry in the future;it can provide key technical links of intelligent collaborative supervision and emergency warning for urban integrated pipeline corridor Provide overall collaborative solutions to strengthen supervision and improve the efficiency of urban integrated management operation.
Keywords/Search Tags:Algorithm fusion, integrated pipeline corridor, intelligent supervision, multi-source data, risk
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