CN-121998215-A - Intelligent automobile power-assisted rescue system

CN121998215ACN 121998215 ACN121998215 ACN 121998215ACN-121998215-A

Abstract

The invention discloses an intelligent automobile power-assisted rescue system, which belongs to the technical field of automobile rescue and comprises a rescue data integration module, a rescue vehicle matching strategy optimization module, a rescue global path planning module and an automobile power-assisted rescue module. The method comprises the steps of setting hard constraint conditions for primary screening, setting soft constraint from three dimensions of areas, resources and capabilities for secondary screening, obtaining comprehensive adaptation degree of each rescue vehicle, selecting the rescue vehicles to form a candidate rescue vehicle set, respectively calculating basic running time, basic risk coefficient and basic energy consumption, correcting by introducing multi-factor correction coefficients to obtain time cost, safety cost and energy cost, constructing a comprehensive evaluation function for path optimization, planning a rescue global navigation path for each candidate rescue vehicle, selecting the optimal rescue vehicle according to the comprehensive evaluation score, and improving the accuracy and resource utilization efficiency of automobile power-assisted rescue.

Inventors

WEI JIANXING

Assignees

山东夏姆数据科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260123

Claims (9)

1. An intelligent automobile power-assisted rescue system is characterized by comprising a rescue data integration module, a rescue vehicle matching strategy optimization module, a rescue global path planning module and an automobile power-assisted rescue module; the rescue data integration module acquires automobile power-assisted rescue data and performs preprocessing; The rescue vehicle matching strategy optimization module sets hard constraint conditions for primary screening, sets soft constraints from three dimensions of areas, resources and capabilities for secondary screening, merges response adaptation degree, resource redundancy adaptation degree and capability accuracy adaptation degree of the areas to obtain comprehensive adaptation degree of each rescue vehicle, and selects the rescue vehicles to form a candidate rescue vehicle set; The rescue global path planning module calculates basic running time, basic risk coefficient and basic energy consumption respectively, corrects the basic running time, the basic risk coefficient and the basic energy consumption by introducing a multi-factor correction coefficient to obtain time cost, safety cost and energy cost, constructs a comprehensive evaluation function to perform path optimization, plans a rescue global navigation path for each candidate rescue vehicle, and selects an optimal rescue vehicle according to the comprehensive evaluation score; The automobile power-assisted rescue module transmits the rescue global navigation path to the vehicle-mounted terminal, and the optimal rescue vehicle carries out automobile power-assisted rescue according to the geographical coordinates of seeking assistance when the optimal rescue vehicle goes to the planned path.
2. The intelligent automobile power-assisted rescue system according to claim 1 is characterized in that the rescue global path planning module is provided with a road data integration unit, a time cost setting unit, a safety cost setting unit, an energy cost setting unit, a rescue global navigation path generating unit and an optimal rescue vehicle selecting unit, and specifically comprises the following contents: the system comprises a road data integration unit, a road data preprocessing unit, a road data integration unit and a vehicle management unit, wherein the road data integration unit is used for collecting the road data of each candidate rescue vehicle from the current position to the recourse geographic coordinate and preprocessing the road data, and the road data comprises static road network data, dynamic road condition data and environmental impact data; calculating the basic running time of each road section based on the static road network data, and then introducing a congestion correction coefficient, a road surface state correction coefficient and a road construction control correction coefficient to correct the basic running time to obtain the time cost of the road section; the system comprises a safety cost setting unit, a weather correction coefficient and a rescue vehicle type correction coefficient, wherein the safety cost setting unit is used for calculating a basic risk coefficient of each road section based on the road grade of static road network data and the historical accident rate of dynamic road condition data, and correcting the basic risk coefficient to obtain the safety cost of the road section; The energy cost setting unit is used for calculating the basic energy consumption of each road section based on the unit mileage energy consumption in the rescue vehicle state data, and then introducing a congestion energy consumption correction coefficient and a road surface state energy consumption correction coefficient to correct the basic energy consumption so as to obtain the energy cost of the road section; Rescue global navigation path generating unit; And an optimal rescue vehicle selection unit.
3. The intelligent automobile power-assisted rescue system of claim 2, wherein the rescue global navigation path generation unit is based on an A-Star heuristic search algorithm, a rescue global navigation path from the current position to a recourse geographic coordinate is planned for each candidate rescue vehicle in a candidate rescue vehicle set, and a comprehensive evaluation function is constructed to perform path optimization by comprehensively considering time cost, safety cost and energy cost, and the system specifically comprises the following contents: taking the geographical coordinates of the candidate rescue vehicles as the starting point of the path, taking the recourse geographical coordinates as the ending point of the path, initializing an open list and a closed list, and adding the starting point into the open list; For the current node, the comprehensive evaluation function consists of actual comprehensive cost and estimated comprehensive cost; The node with the minimum comprehensive evaluation function value is selected from the open list to expand, the actual cost and the estimated cost of all adjacent nodes are updated, and the current node is moved into the closed list; And reversely backtracking from the terminal point to the starting point, and generating a complete rescue global navigation path from the candidate rescue vehicle position to the recourse geographic coordinates.
4. The intelligent automobile power-assisted rescue system of claim 2 is characterized in that the optimal rescue vehicle selection unit respectively normalizes time cost, safety cost and energy cost of a rescue global navigation path corresponding to each candidate rescue vehicle, weights, fuses and normalizes the three types of cost to obtain comprehensive evaluation scores of the corresponding rescue global navigation path, ranks the candidate rescue vehicles according to the comprehensive evaluation scores from low to high, selects the vehicle with the lowest comprehensive evaluation score as the optimal rescue vehicle, and further compares the normalized time cost if a plurality of vehicles are in parallel with the lowest comprehensive evaluation score, and takes the vehicle with the lowest normalized time cost value as the optimal rescue vehicle.
5. The intelligent automobile power-assisted rescue system of claim 1, wherein the rescue vehicle matching strategy optimization module is provided with a hard constraint condition preliminary screening unit, a soft constraint condition screening unit and a multi-dimensional adaptation degree comprehensive sorting unit, and specifically comprises the following contents: Setting rescue vehicle state hard constraint, rescue vehicle service area hard constraint, rescue event type-rescue vehicle type matching hard constraint, customer vehicle characteristic-rescue vehicle capability matching hard constraint and rescue resource state hard constraint, carrying out preliminary screening on all rescue vehicles according to the hard constraint conditions, and only reserving the rescue vehicles meeting all the hard constraint conditions simultaneously to form a preliminary matching vehicle set; The system comprises a soft constraint condition screening unit, a regional response adaptation degree soft constraint, a resource redundancy adaptation degree soft constraint and a capacity accurate adaptation degree soft constraint, wherein secondary screening is carried out on rescue vehicles in a primary matching vehicle set according to soft constraint conditions, and only rescue vehicles meeting all soft constraint conditions simultaneously are reserved to form a secondary matching vehicle set; And a multidimensional adaptation degree comprehensive ordering unit.
6. The intelligent automobile power assisting rescue system according to claim 5, wherein the soft constraint condition screening unit specifically comprises the following contents: Calculating the regional response fitness of each rescue vehicle based on the recourse geographic coordinates and the rescue vehicle geographic coordinates, and screening the rescue vehicles with the regional response fitness being more than or equal to a response threshold; Calculating the resource redundancy adaptation degree of each rescue vehicle, and screening the rescue vehicles of which the resource redundancy adaptation degree is more than or equal to the redundancy threshold value; Establishing a capability requirement set based on the type of the rescue event and the characteristics of the client vehicle, establishing a vehicle capability description set based on the type of the rescue vehicle and the rescue capability, matching the capability requirement set with the vehicle capability description set, calculating the capability accurate adaptation degree of each rescue vehicle, and screening the rescue vehicles with the capability accurate adaptation degree not less than an accurate threshold value.
7. The intelligent automobile power-assisted rescue system of claim 5, wherein the multidimensional comprehensive ranking unit is a fusion area response fitness, a resource redundancy fitness and a capability precision fitness, calculates the comprehensive fitness of each rescue vehicle in the secondary matching vehicle set, ranks from high to low according to the comprehensive fitness, and selects the first N rescue vehicles to form a candidate rescue vehicle set.
8. The intelligent automobile power-assisted rescue system of claim 1, wherein the rescue data integration module is used for collecting automobile power-assisted rescue data and preprocessing the automobile power-assisted rescue data; the automobile assistance rescue data comprise client help seeking data and rescue vehicle state data; the client recourse data comprises recourse ID, recourse geographic coordinates, recourse event types and client vehicle characteristics; The rescue vehicle state data comprise a rescue vehicle ID, a rescue vehicle type, rescue capability, a rescue resource state, a rescue vehicle geographic coordinate, unit mileage energy consumption, a vehicle maximum response distance and a service area; The preprocessing comprises data cleaning, data normalization and data encoding.
9. The intelligent automobile power-assisted rescue system of claim 1, wherein the automobile power-assisted rescue module transmits a rescue global navigation path corresponding to an optimal rescue vehicle to a vehicle-mounted terminal of the vehicle, and synchronously pushes rescue vehicle information to a help-seeking client, and the optimal rescue vehicle goes to help-seeking geographic coordinates according to the planned path to carry out automobile power-assisted rescue.

Description

Intelligent automobile power-assisted rescue system Technical Field The invention belongs to the technical field of automobile rescue, and particularly relates to an intelligent automobile power-assisted rescue system. Background The automobile power-assisted rescue system is a system for realizing efficient intelligent matching and scheduling of rescue requirements and rescue resources by utilizing the technology of Internet of things, big data analysis and artificial intelligence. However, the existing automobile power-assisted rescue system has the problems that the number of rescue vehicles is large, the matching of the resource characteristics and the rescue requirements lacks hierarchical screening logic, the invalid scheduling of resources is easily caused by single-dimension matching, the high-quality rescue resources cannot be matched preferentially, the rescue efficiency is low, and the resource configuration is unreasonable, the existing automobile power-assisted rescue system has the problems that the multi-objective requirements are not considered in path planning, the evaluation distortion is caused by the fact that the road section cost evaluation is not combined with the actual driving factors, the comprehensive performance of the candidate rescue vehicle path is difficult to evaluate comprehensively, and the problems that the optimal rescue vehicle cannot be selected accurately, and the high-efficiency, safe and low-consumption rescue is difficult to realize are caused. Disclosure of Invention Aiming at the problems that the number of rescue vehicles is large, the matching of the resource characteristics and the help-seeking requirements lacks hierarchical screening logic, the invalid scheduling of resources is easily caused by single-dimension matching, the high-quality rescue resources cannot be preferentially matched, and further the problems of low rescue efficiency and unreasonable resource allocation are caused, the scheme sets hard constraint conditions for preliminary screening, and rapidly eliminates vehicles which do not meet the help-seeking basic requirements; setting soft constraint from three dimensions of area, resource and capability to carry out secondary screening and refining matching standard from core rescue dimension, merging response matching degree, resource redundancy matching degree and capability accurate matching degree of the area to obtain comprehensive matching degree of each rescue vehicle, selecting the rescue vehicles to form a candidate rescue vehicle set, realizing comprehensive quantitative evaluation of comprehensive rescue capability of the rescue vehicles, improving precision and resource utilization efficiency of automobile assisted rescue scheduling, aiming at the problems that multi-objective requirements are not considered in path planning in the existing automobile assisted rescue system, evaluation distortion is caused by the fact that road cost evaluation is not combined with actual driving factors, comprehensive evaluation of the comprehensive performance of the candidate rescue vehicle path is difficult, further, the problems that optimal rescue vehicles cannot be accurately selected, high-efficiency safe low-consumption rescue is difficult to realize are caused, the scheme respectively calculates basic driving time, basic risk coefficient and basic energy consumption, corrects by introducing multi-factor correction coefficient to obtain time cost, safe cost and energy cost, accurately quantizes actual driving cost of a rescue road section, constructing comprehensive evaluation function to plan path optimizing global navigation path for each candidate rescue vehicle, the optimal rescue vehicle is selected according to the comprehensive evaluation score, comprehensive quantitative comparison of the candidate vehicle path performance is realized, the optimal rescue vehicle is accurately selected, efficient, safe and low-consumption development of rescue tasks is ensured, and the success rate of automobile power-assisted rescue is improved. The invention provides an intelligent automobile power-assisted rescue system which comprises a rescue data integration module, a rescue vehicle matching strategy optimization module, a rescue global path planning module and an automobile power-assisted rescue module; the rescue data integration module acquires automobile power-assisted rescue data and performs preprocessing; The rescue vehicle matching strategy optimization module sets hard constraint conditions for primary screening, sets soft constraints from three dimensions of areas, resources and capabilities for secondary screening, merges response adaptation degree, resource redundancy adaptation degree and capability accuracy adaptation degree of the areas to obtain comprehensive adaptation degree of each rescue vehicle, and selects the rescue vehicles to form a candidate rescue vehicle set; The rescue global path planning module calculates basic run