CN-122022442-A - Method and device for analyzing and studying urban life line comprehensive risk

CN122022442ACN 122022442 ACN122022442 ACN 122022442ACN-122022442-A

Abstract

The application relates to a method, a device, computer equipment and a storage medium for analyzing and judging comprehensive risks of an urban lifeline, wherein the method comprises the steps of formulating an urban lifeline safety engineering data standard; the method comprises the steps of determining comprehensive risk indexes based on any region according to the urban life line safety engineering data standard, classifying the comprehensive risk indexes according to three elements of a risk source, a disaster bearing body and disaster reduction force, further dividing all the determined comprehensive risk indexes according to index states according to the urban life line safety engineering data standard, carrying out risk assignment, calculating a risk index, a research judgment index and a comprehensive risk level according to the risk assignment, and judging the risk states in any region according to the comprehensive risk level. The method can provide visual support for risk management and decision making, has the characteristics of multi-source data fusion, spatial expression and dynamic research and judgment, and is suitable for monitoring and emergency management of an urban life line safety system.

Inventors

ZHANG HUA
YANG FAN
YUAN JINGFENG
ZHANG YUE
YAN LIHONG

Assignees

江苏东印智慧工程技术研究院有限公司
东南大学

Dates

Publication Date: 20260512
Application Date: 20251209

Claims (9)

1. A method for analyzing and studying and judging comprehensive risk of an urban lifeline, which is characterized by comprising the following steps: Step S1, establishing a city life line safety engineering data standard; step S2, determining a comprehensive risk index based on any region according to the urban lifeline safety engineering data standard, wherein the comprehensive risk index is derived from different business scenes; Step S3, classifying the comprehensive risk indexes in the step S2 according to three elements of a risk source, a disaster bearing body and disaster reduction force; And S4, further dividing all the comprehensive risk indexes determined in the step S2 according to the index states and carrying out risk assignment according to the urban lifeline safety engineering data standard described in the step S1, calculating a risk index, a research judgment index and a comprehensive risk level according to the risk assignment, and judging the risk state in any area according to the comprehensive risk level, wherein the risk assignment represents the action degree of the indexes in different states in the urban lifeline comprehensive risk, and the higher the risk assignment indicates the higher the action degree.
2. The method according to claim 1, wherein the safety engineering data standard in step S1 includes all scene data of the urban life line safety engineering.
3. The method according to claim 1, wherein the comprehensive risk index in step S2 includes alarm information, emergency, early warning information, inspection problems, hidden facilities, construction projects, major dangerous sources, geological disasters, weather disasters, waterlogging points, weather conditions, infrastructure, population, buildings, refuge sites, warehouses, emergency materials, medical institutions, fire stations, nursing homes, stations, historical events, intelligent monitoring sensors, and InSAR ground settlement monitoring.
4. The method for analyzing and studying and judging comprehensive risk of urban lifeline according to claim 3, wherein the comprehensive risk indexes in the step S2 all have space coordinate information.
5. The method for analyzing and studying and judging urban lifeline risk according to claim 1, wherein the step S3 comprises: Step S31, classifying the comprehensive risk indexes in the step S2 according to three factors, namely a risk source, a disaster-bearing body and a disaster reduction force, wherein the risk source is a cause of an accident directly, and is characterized by an early warning event state and a surrounding environment state, the disaster-bearing body is an infrastructure for directly bearing the action of the accident, and is characterized by a system basic state, and the disaster reduction force is a material or means capable of reducing the accident result and is characterized by a management maintenance state and a monitoring perception state; Step S32, classifying the comprehensive risk indexes in the step S2 according to the five states of the early warning event state, the surrounding environment state, the management maintenance state, the monitoring perception state and the system basic state in the step S31; Step S33, the indicators of the early warning event state include alarm information, emergency, early warning information, inspection problems and hidden facilities, the indicators of the surrounding environment state include construction projects, major dangerous sources, geological disasters, meteorological disasters, easy waterlogging points and weather conditions, the indicators of the system basic state include infrastructure, population and buildings, the indicators of the management maintenance state include refuge sites, warehouses, emergency supplies, medical institutions, fire stations, nursing homes, stations and historical events, the indicators of the monitoring perception state include intelligent monitoring sensing and InSAR ground settlement monitoring, each indicator has at least one indicator property, and each indicator property has at least one indicator state.
6. The method for analyzing and studying and judging urban life line comprehensive risk according to claim 5, wherein the step S4 comprises: Step S41, according to the urban life line safety engineering data standard in step S1, further dividing all the comprehensive risk indexes determined in step S2 according to index properties and index states, performing risk assignment, calculating the risk index of each comprehensive risk index according to the risk assignment of the index properties and the index states, and calculating the risk index of each comprehensive risk index according to the following formula: ; Wherein, the A risk index that is a j-th index property of the i-th composite risk index, Assigning a risk to the j index property of the i-th integrated risk index, The jth index property, which is the ith integrated risk index Risk assignment of individual indicator states, An influence coefficient of the j index property of the i-th integrated risk index, , , , For the number of the comprehensive risk indexes, Is used as the number of index properties, The number of index states; step S42, calculating the risk index of the comprehensive risk index according to the calculation result of the risk index of the index type in step S41, wherein the risk index of the comprehensive risk index is calculated according to the following formula: ; Wherein, the A risk index which is an ith comprehensive risk index; an influence coefficient of the ith comprehensive risk index; step S43, calculating the state risk indexes of the five states in step S32 according to the risk index calculation result of the comprehensive risk index in step S42, and calculating according to the following formula: ; ; ; ; ; wherein WI is the risk index of early warning event state, EI is the risk index of surrounding environment state, MI is the risk index of management and maintenance state, SI is the risk index of monitoring and sensing state, BI is the risk index of system basic state, s is the number of business scenes, Is the ith comprehensive risk index influence coefficients of the business scenario; step S44, according to the calculation results of the state risk indexes of the five states in step S43, the research judgment indexes of the risk source, the disaster bearing body and the disaster reduction force are calculated, and the calculation is carried out according to the following formula: ; ; ; wherein RE is a disaster-bearing body research and judgment index, MF is a disaster-reduction force research and judgment index, and RS is a risk source research and judgment index; as a function of the basic state of the system, To manage the maintenance state and monitor the function of the perceived state, Is a function of the early warning event state and the surrounding environment state; Step S45, calculating the comprehensive risk level of the urban lifeline in any area according to the calculation result of the research and judgment indexes of the risk source, the disaster-bearing body and the disaster reduction force in step S44, and calculating according to the following formula: ; Wherein S is the comprehensive risk level of the urban life line in any region, RE is the disaster-bearing body research and judgment index, MF is the disaster-reduction force research and judgment index, RS is the risk source research and judgment index, The influence of disaster reduction force and risk sources on a disaster-bearing body is represented, The influence of a disaster-bearing body and a risk source on disaster reduction force is represented, The influence of a disaster-bearing body and disaster-reducing force on a risk source is represented; step S46, according to the comprehensive risk level calculation result of the urban lifeline in any area in step S45, the risk state in the area can be judged, when S is more than or equal to 0, the comprehensive risk level of the area is lower, and is a safe state, and when S is less than 0, the comprehensive risk level of the area is higher, and is a dangerous state.
7. An apparatus for analyzing and studying and judging comprehensive risk of urban lifeline, the apparatus comprising: the data standard making module is used for executing the step S1; The comprehensive risk index determining module is used for executing the step S2; The classification module is used for executing the step S3; and the risk state judging module is used for executing the step S4.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

Description

Method and device for analyzing and studying urban life line comprehensive risk Technical Field The application relates to the technical field of urban safety risk research and judgment, in particular to a method, a device, computer equipment and a storage medium for urban life line comprehensive risk analysis and research and judgment. Background The urban life line is a key infrastructure for guaranteeing normal operation of cities and life quality of residents, and covers a plurality of key fields of traffic systems, important buildings, water supply, power supply, heat supply, air supply, communication, comprehensive pipe racks and the like, and is like the 'nerves' and 'blood vessels' of cities, energy, information and resources are continuously conveyed, daily operation of urban organisms is maintained, and the urban life line is a continuous foundation support for urban functions. With the acceleration of the urban process and the continuous improvement of the modern level, the urban operation has increasingly higher dependence on a life line system, and the safety and stability of the urban operation are directly related to public safety, social order and economic development. Once a lifeline facility of a certain type fails or is damaged, a chain reaction is extremely easy to trigger, so that a large-scale service interruption is caused, and even a serious public safety event is evolved. The urban lifeline system has the characteristics of remarkable networking performance, engineering complexity, space concealment performance, intersystem coupling performance and the like. Currently, risk assessment for lifeline systems is focused on single business scenarios (e.g., grid faults, water supply network breaks, etc.), and lacks systematic consideration of cross-system, cross-domain interaction mechanisms. Meanwhile, due to different data acquisition standards, incomplete coverage scenes and outstanding information island phenomenon of each industry, data among different life line systems are difficult to integrate and share effectively, so that management departments are difficult to master the overall risk situation of the area comprehensively, and the improvement of comprehensive early warning and collaborative coping capability is restricted. Therefore, constructing an urban lifeline comprehensive risk studying and judging system based on multi-source data fusion and system association analysis becomes an urgent need for improving urban toughness and realizing urban safety control modernization. Only if the industry barriers are broken, data interconnection and intercommunication are promoted, system association analysis is enhanced, accurate identification, scientific evaluation and active prevention and control of urban operation risks can be realized, and solid guarantee is provided for constructing safe, intelligent and sustainable modern cities. Disclosure of Invention In view of the foregoing, it is desirable to provide a method, apparatus, computer device, and storage medium for analyzing and studying comprehensive risk of urban lifeline that can enhance correlation analysis between service scenarios of an urban lifeline system. In a first aspect, the application provides a method for analyzing and studying and judging comprehensive risk of an urban lifeline, which comprises the following steps: Step S1, establishing a city life line safety engineering data standard; step S2, determining a comprehensive risk index based on any region according to the urban lifeline safety engineering data standard, wherein the comprehensive risk index is derived from different business scenes; Step S3, classifying the comprehensive risk indexes in the step S2 according to three elements of a risk source, a disaster bearing body and disaster reduction force; And S4, further dividing all the comprehensive risk indexes determined in the step S2 according to the index states and carrying out risk assignment according to the urban lifeline safety engineering data standard described in the step S1, calculating a risk index, a research judgment index and a comprehensive risk level according to the risk assignment, and judging the risk state in any area according to the comprehensive risk level, wherein the risk assignment represents the action degree of the indexes in different states in the urban lifeline comprehensive risk, and the higher the risk assignment indicates the higher the action degree. In a second aspect, the present application also provides a device for analyzing and studying and judging comprehensive risk of an urban lifeline, including: the data standard making module is used for executing the step S1; The comprehensive risk index determining module is used for executing the step S2; The classification module is used for executing the step S3; and the risk state judging module is used for executing the step S4. In a third aspect, the present application also provides a computer device comprising a