CN-121983259-A - Intelligent airport-oriented AED emergency equipment distribution optimization method

CN121983259ACN 121983259 ACN121983259 ACN 121983259ACN-121983259-A

Abstract

The invention relates to the technical field of intelligent airport information service, in particular to an AED emergency equipment distribution optimization method for an intelligent airport. The method comprises the steps of collecting airport flow scene multisource data, carrying out airport space behavior characterization analysis processing through the airport flow scene multisource data to generate airport space behavior characterization data, carrying out airport space first-aid candidate point region feature analysis based on the airport space behavior characterization data to generate airport space first-aid candidate point region feature data, carrying out AED candidate region coverage arrival time domain analysis based on the airport space first-aid candidate point region feature data to generate AED candidate region coverage arrival time domain data, carrying out optimized point distribution design of AED first-aid equipment through the AED candidate region coverage arrival time domain data, and generating AED first-aid equipment point distribution optimization data. The invention meets the distribution demand of AED equipment for emergency first aid of intelligent airport.

Inventors

LIU LING
SHEN FENG
HUANG YUN
WANG YUTING

Assignees

南通职业大学

Dates

Publication Date: 20260505
Application Date: 20260114

Claims (10)

1. An AED emergency equipment distribution optimizing method oriented to a smart airport is characterized by comprising the following steps: Step S1, acquiring an airport flow scene multisource acquisition interface of a smart airport, acquiring airport flow scene multisource data based on the airport flow scene multisource acquisition interface, preprocessing the airport flow scene multisource data, and generating airport flow scene multisource data; S2, carrying out airport space behavior characterization analysis processing through airport flow scene multisource data to generate airport space behavior characterization data; S3, carrying out airport space emergency candidate point region feature analysis based on airport space behavior characterization data to generate airport space emergency candidate point region feature data; step S4, AED candidate region coverage arrival time domain analysis is carried out based on airport space first-aid candidate point region characteristic data, and AED candidate region coverage arrival time domain data are generated; and S5, performing optimal distribution design of the AED emergency equipment according to the coverage arrival time domain data of the AED candidate area, and generating AED emergency equipment distribution optimal data.
2. The smart airport oriented AED emergency equipment point-of-placement optimization method of claim 1, wherein step S1 comprises the steps of: s11, acquiring an airport flow scene multisource acquisition interface of an intelligent airport; Step S12, preliminary multi-source data acquisition of airport flow scenes is carried out according to an airport flow scene multi-source acquisition interface to obtain preliminary airport flow scene multi-source data, wherein the preliminary airport flow scene multi-source data comprise airport passenger flow monitoring data, security check area queuing monitoring data, flight operation scheduling data, staff allocation data, historical first-aid time recording data and airport scene space data; step S13, carrying out airport scene space structure modeling processing according to airport scene space data to generate an airport scene space structure model; And S14, mapping the preliminary airport flow scene multisource data to an airport scene space structure model to perform time sequence alignment and space mapping processing of heterogeneous data, and generating the airport flow scene multisource data.
3. The smart airport oriented AED emergency equipment point-of-placement optimization method of claim 2, wherein step S2 comprises the steps of: S21, carrying out data extraction processing on airport space behaviors and emergency events according to airport flow scene multisource data, and respectively generating airport space behavior data and emergency event data; s22, carrying out airport space functional area division processing on an airport scene space structure model to generate airport space functional area data; step S23, analyzing time sequence characteristics of regional spatial behavior attributes based on airport spatial functional regional data and airport spatial behavior data, and generating time sequence characteristic data of regional spatial behavior attributes; Step S24, carrying out regional space emergency event mode frequency processing based on airport space functional regional data and emergency event data to generate regional space emergency event mode frequency data; And S25, carrying out airport space behavior characterization integration processing according to the regional space behavior attribute time sequence characteristic data and the regional space emergency event mode frequency data to generate airport space behavior characterization data.
4. A smart airport oriented AED emergency equipment point optimization method according to claim 3, characterized in that step S23 comprises the steps of: And carrying out space behavior attribute time sequence characteristic analysis of each functional area on the airport space behavior attribute data according to the airport space functional area data to generate area space behavior attribute time sequence characteristic data.
5. A smart airport oriented AED emergency equipment point optimization method according to claim 3, wherein step S24 comprises the steps of: And analyzing and processing the emergency event pattern frequency of each functional area according to the airport space functional area data to generate area space emergency event pattern frequency data.
6. The smart airport oriented AED emergency equipment point-of-placement optimization method of claim 1, wherein step S3 comprises the steps of: Step S31, mapping airport space behavior characterization data to preset airport emergency event influence factors to perform airport space emergency event influence mapping feature analysis, and generating airport space emergency event influence mapping feature data; s32, carrying out airport space emergency event probability analysis based on airport space emergency event influence mapping characteristic data to generate airport space emergency event probability data; s33, analyzing airport space emergency candidate points according to airport space emergency event probability data to generate airport space emergency candidate point data; And step S34, carrying out candidate point region characteristic analysis on the airport space first-aid candidate point data to generate airport space first-aid candidate point region characteristic data.
7. The smart airport oriented AED emergency equipment placement optimization method of claim 6, wherein the airport spatial emergency candidate point regional characteristic data comprises candidate point regional emergency event probability intensity characteristic data, candidate point regional deployable characteristic data, and candidate point regional functional attribute related emergency characteristic data in step S34.
8. The smart airport oriented AED emergency equipment point-of-placement optimization method of claim 2, wherein step S4 comprises the steps of: s41, analyzing and processing an airport space reachable path according to an airport scene space structure model to generate airport space reachable path data; S42, performing reachable path structural characteristic analysis on airport space reachable path data to generate reachable path structural characteristic data; S43, analyzing the path traveling constraint rate of the AED candidate region based on the reachable path structure characteristic data and the airport space first-aid candidate point region characteristic data, and generating the path traveling constraint rate data of the AED candidate region; step S44, AED candidate region coverage arrival time domain analysis is performed through AED candidate region path travel constraint rate data, and AED candidate region coverage arrival time domain data is generated.
9. The smart airport oriented AED emergency equipment point optimization method of claim 8, wherein step S43 comprises the steps of: Step S431, passenger flow fluctuation influence characteristic analysis of the reachable path structure is carried out according to the characteristic data of the reachable path structure, and passenger flow fluctuation influence characteristic data of the reachable path structure is generated; Step S432, AED travel constraint rate analysis of the reachable path structure is carried out according to the characteristic data of passenger flow fluctuation influence of the reachable path structure, and AED travel constraint rate data of the reachable path structure is generated; And S433, performing AED candidate region path travel constraint rate analysis on the airport space emergency candidate point region characteristic data according to the AED travel constraint rate data of the reachable path structure, and generating AED candidate region path travel constraint rate data.
10. The smart airport oriented AED emergency equipment point-of-placement optimization method of claim 1, wherein step S5 comprises the steps of: Step S51, an AED point distribution multi-objective optimization function is designed according to a preset AED point distribution demand decision; S52, performing global point setting evaluation processing on the AED candidate region coverage arrival time domain data by utilizing an AED point setting multi-objective optimization function to generate AED candidate region global point setting evaluation data; Step S53, local point distribution optimization combination analysis of the candidate region is carried out according to the AED candidate region global point distribution evaluation data, and AED candidate region local point distribution optimization combination data are generated; And S54, performing optimal distribution design of the AED emergency equipment according to the local distribution optimization combination data of the AED candidate area, and generating AED emergency equipment distribution optimization data.

Description

Intelligent airport-oriented AED emergency equipment distribution optimization method Technical Field The invention relates to the technical field of intelligent airport information service, in particular to an AED emergency equipment distribution optimization method for an intelligent airport. Background AEDs (automated external defibrillators) are used as critical intervention devices for sudden emergency events such as sudden cardiac death, where the plausibility directly determines the response efficiency of airport emergency. The intelligent airport has the remarkable characteristics of complex scene structure, severe passenger flow density space-time fluctuation, definite functional area division, strong constraint of personnel flow paths due to flight scheduling period and security check flow, and the like, and the characteristics bring demands to the precision, dynamic adaptability and actual operability of AED (automatic test equipment) distribution. However, the conventional airport AED point distribution scheme has technical limitations generally, most schemes adopt an empirical point distribution method, the point distribution position is determined by relying on past working experience of airport operators, few optimization schemes adopt a uniform point distribution method, the AEDs are evenly distributed according to the physical space distance of the airport, the occurrence probability difference of emergency events in different functional areas is completely ignored, meanwhile, the airport space accessibility constraint is not considered, the unreasonability of the point distribution scheme is further aggravated, moreover, the conventional AED point distribution optimization technology lacks the integration capability of intelligent airport multisource dynamic data, the space-time association rule of personnel behaviors and emergency events in the airport space cannot be accurately represented, and the theoretical emergency response efficiency of the conventional point distribution scheme is seriously inconsistent with the actual application effect, so that the high-quality requirement of emergency of the intelligent airport is difficult to meet. Disclosure of Invention Based on the above, the invention provides a smart airport oriented AED emergency equipment distribution optimizing method to solve at least one of the above technical problems. In order to achieve the above purpose, an AED emergency equipment distribution optimizing method for intelligent airport comprises the following steps: Step S1, acquiring an airport flow scene multisource acquisition interface of a smart airport, acquiring airport flow scene multisource data based on the airport flow scene multisource acquisition interface, preprocessing the airport flow scene multisource data, and generating airport flow scene multisource data; S2, carrying out airport space behavior characterization analysis processing through airport flow scene multisource data to generate airport space behavior characterization data; S3, carrying out airport space emergency candidate point region feature analysis based on airport space behavior characterization data to generate airport space emergency candidate point region feature data; step S4, AED candidate region coverage arrival time domain analysis is carried out based on airport space first-aid candidate point region characteristic data, and AED candidate region coverage arrival time domain data are generated; and S5, performing optimal distribution design of the AED emergency equipment according to the coverage arrival time domain data of the AED candidate area, and generating AED emergency equipment distribution optimal data. Further, step S1 includes the steps of: s11, acquiring an airport flow scene multisource acquisition interface of an intelligent airport; Step S12, preliminary multi-source data acquisition of airport flow scenes is carried out according to an airport flow scene multi-source acquisition interface to obtain preliminary airport flow scene multi-source data, wherein the preliminary airport flow scene multi-source data comprise airport passenger flow monitoring data, security check area queuing monitoring data, flight operation scheduling data, staff allocation data, historical first-aid time recording data and airport scene space data; step S13, carrying out airport scene space structure modeling processing according to airport scene space data to generate an airport scene space structure model; And S14, mapping the preliminary airport flow scene multisource data to an airport scene space structure model to perform time sequence alignment and space mapping processing of heterogeneous data, and generating the airport flow scene multisource data. Further, step S2 includes the steps of: S21, carrying out data extraction processing on airport space behaviors and emergency events according to airport flow scene multisource data, and respectively generating airport space beha