CN-121638824-B - Internet of things management method and system applied to high-speed service area construction

CN121638824BCN 121638824 BCN121638824 BCN 121638824BCN-121638824-B

Abstract

The application relates to the field of high-speed service areas, in particular to an Internet of things management method and system applied to high-speed service area construction. The method comprises the steps of obtaining a high-speed vehicle dynamic information set, analyzing charging urgency indexes of each needed charging vehicle according to the high-speed vehicle dynamic information set, constructing a virtual priority charging queue, obtaining a construction site multi-dimensional heat source information set, analyzing distribution of dynamic point-shaped heat sources and dynamic plane heat sources based on the construction site multi-dimensional heat source information set, constructing a dynamic thermal field optimization map by combining a real-time sunlight shadow map, carrying out pile position accurate distribution based on the virtual priority charging queue and the dynamic thermal field optimization map, providing construction dynamic regulation and control suggestions, and generating a charging scheduling report in a construction period of a high-speed service area. The application ensures that the high-efficiency, stable and safe operation of the service area can be maintained under a complex construction environment in the construction process of the high-speed service area.

Inventors

WU LEWEN
WAN RUIZHI
YU LIYI
FU MINGWEN
PENG ZHIWANG
Wei Zheqi

Assignees

江西交投海通公路养护有限公司

Dates

Publication Date: 20260508
Application Date: 20260204

Claims (7)

1. The Internet of things management method applied to high-speed service area construction is characterized by comprising the following steps of: acquiring a high-speed vehicle dynamic information set, analyzing the charging urgency index of each required charging vehicle according to the high-speed vehicle dynamic information set, and constructing a virtual priority charging queue; Acquiring a construction site multidimensional heat source information set, analyzing the distribution of dynamic point-shaped heat sources and dynamic plane-shaped heat sources based on the construction site multidimensional heat source information set, and constructing a dynamic heat field optimization map by combining a real-time sunlight shadow map; Based on the virtual priority charging queue and the dynamic thermal field optimization map, pile level accurate allocation is carried out, construction dynamic regulation and control suggestions are provided, and a charging scheduling report in the construction period of a high-speed service area is generated; the construction of the dynamic thermal field optimization map comprises the following steps: the construction site multidimensional heat source information set comprises construction machinery heat radiation data, aggregated vehicle group heat field distribution data and environmental background temperature data; identifying and locating high power construction equipment based on the construction machinery thermal radiation data, modeling the equipment as the dynamic point-like heat source with radiation intensity and influence radius; based on the thermal field distribution data of the aggregated vehicle group, modeling the vehicle group in an atypical congestion mode caused by construction into the dynamic planar heat source with temperature gradient and diffusion effect through thermal imaging cluster analysis; Calling the environmental background temperature data, and superposing the real-time sunlight shadow map rendered in real time based on an astronomical algorithm and a three-dimensional building model of a fusion construction temporary facility model to serve as a sunlight correction coefficient; Dynamically coupling and spatially superposing the dynamic point-shaped heat source, the dynamic planar heat source and the sunlight correction coefficient to generate the dynamic thermal field optimization map; The generating a charging schedule report in the construction period of the high-speed service area comprises the following steps: executing a dynamic pile allocation strategy, dynamically starting a high-urgency vehicle based on the matching mapping of the charging urgency and the pile thermal load, optimizing the unavailable high-thermal load pile through a pre-cooling strategy, and triggering dynamic re-planning of pile allocation in real time; Based on pile position distribution results and execution requirements of pre-cooling strategies, reversely generating construction dynamic regulation and control suggestions, integrating the dynamic pile position distribution results and a closed-loop regulation and control instruction set, and generating a charging scheduling report in the construction period of the high-speed service area; The executing the dynamic pile bit allocation strategy comprises the following steps: Preferentially distributing high-quality pile positions marked as low in heat load level in the dynamic heat field optimization map for vehicles ranked ahead in the virtual priority charging queue; For a vehicle with high charging urgency and available high heat load pile positions at present, starting a pre-cooling strategy of construction coordination, wherein before the vehicle arrives, the construction machine operation position is temporarily adjusted or temporary spraying facilities are started based on the construction dynamic regulation and control advice so as to actively reduce the local heat load of a target pile position, and after the heat load level of the pile position is reduced to an available threshold value, reassignment is performed; And tracking construction progress and thermal field change in real time, and dynamically re-planning pile position allocation of vehicles which do not reach a service area so as to respond to thermal field mutation caused by construction activities.
2. The method of claim 1, wherein the constructing a virtual priority charge queue comprises: the high-speed vehicle dynamic information set comprises real-time residual electric quantity of a vehicle, basic power consumption weight of a vehicle type, real-time position and running track; Calculating the reference energy consumption urgency of the vehicle based on the high-speed vehicle dynamic information set, and predicting the residual time of the vehicle reaching a service area; Dynamically analyzing the coupling relation between the reference energy consumption urgency and the residual time, and generating the charging urgency index through an urgency index calculation formula; And sequencing all vehicles to be charged according to the charging urgency index, and constructing the virtual priority charging queue.
3. The method of claim 2, wherein the modeling of the dynamic planar heat source with temperature gradient and diffusion effects comprises: analyzing the mixed proportion and the thermal power state of vehicles in the cluster, modeling the high-heating vehicles as high-heating cores, and calculating the thermal bridging strength between the heating cores according to the real-time vehicle distance; Based on the distribution of the thermonuclear and the thermal bridging strength, constructing a non-uniform temperature field in the cluster, wherein the peak value is the thermonuclear and the vehicle distance is the diffusion resistance; Coupling a forced convection wind field generated by periodic operation of construction machinery, analyzing stripping and transporting effects of the wind field on the non-uniform temperature field, and predicting the covering path and strength of transported thermal plumes on a downstream charging pile position; and integrating the non-uniform temperature field and the thermal plume diffusion model corrected by the forced convection wind field to generate the dynamic planar heat source.
4. The method of claim 1, wherein the process as a solar correction coefficient comprises: Constructing a dedicated dynamic digital twin scene in the construction period of a service area, and integrating a permanent building, a charging pile position and a construction temporary facility contour library based on the dynamic loading of the construction progress; Based on an astronomical algorithm, resolving a real-time sun vector, driving scene shadow rendering, and mainly resolving a composite dynamic shadow boundary of the construction temporary facility contour library and a permanent building in a pile position area to obtain real-time sunshade efficiency of each pile position in a current construction state; In order to strip and quantify the net influence of construction activities on the pile thermal environment, a dynamic construction variable sunshade efficiency coefficient is constructed by comparing the actual sunshade area of the current construction with the non-construction reference sunshade area; And carrying out weighted fusion on the environmental background temperature data and the construction variable sunshade efficiency coefficient, generating a pile dedicated micro-thermal environment correction value for each charging pile position, integrating the micro-thermal environment correction values of all pile positions, and constructing the sunlight correction coefficient which is strongly related to construction.
5. The method of claim 1, wherein the process of performing dynamic coupling and spatial stacking comprises: Respectively giving construction perception weights to the dynamic point-shaped heat source, the dynamic planar heat source and the sunlight correction coefficient based on the construction stage and the activity type, wherein the mechanical point-shaped heat source weight is increased in the pile foundation construction stage, and the vehicle planar heat source weight is increased in the pavement paving stage; Constructing a service area pile heat load space-time calculation grid, superposing a thermal field under construction disturbance on the weighted heat source data on the grid, and synchronously integrating an unsteady heat source track formed by a construction mechanical moving path and a diversion vehicle; applying thermal buffering correction of a construction isolation area to the superimposed comprehensive thermal field, identifying a local thermal barrier effect formed by construction enclosure and temporary greening, and degrading thermal load of a corresponding pile position; and outputting the comprehensive heat load index of each pile position in the construction period to complete the construction of the dynamic thermal field optimization map.
6. The method of claim 5, wherein generating the construction dynamic regulation suggestion comprises: reversely generating a construction plan fine adjustment suggestion based on the aggregation condition of high heat load piles in the pile allocation result, wherein the construction plan fine adjustment suggestion comprises the proposal of adjusting high heat construction activities to non-charging peak time or temporarily changing a dense working area of heavy machinery; Generating traffic diversion optimization suggestions in a construction area based on a pre-cooling strategy implemented for relieving a thermal field, and dynamically planning a vehicle travel path bypassing an area where pre-cooling operation is being performed to avoid streamline conflict between a charging vehicle and cooling operation; and integrating all suggestions into an executable construction linkage instruction set to form the construction dynamic regulation suggestion.
7. An internet of things management system applied to high-speed service area construction, which is characterized by being applied to the method as claimed in any one of claims 1-6, comprising: The charging queue ordering module is used for acquiring a high-speed vehicle dynamic information set, analyzing the charging urgency index of each required charging vehicle according to the high-speed vehicle dynamic information set, and constructing a virtual priority charging queue; The dynamic thermal field generation module is used for acquiring a construction site multi-dimensional heat source information set, analyzing the distribution of dynamic point-shaped heat sources and dynamic planar heat sources based on the construction site multi-dimensional heat source information set, and constructing a dynamic thermal field optimization map by combining a real-time sunlight shadow map; And the construction report generation module is used for carrying out pile level accurate allocation based on the virtual priority charging queue and the dynamic thermal field optimization map, providing construction dynamic regulation and control suggestions and generating a charging scheduling report of the construction period of the high-speed service area.

Description

Internet of things management method and system applied to high-speed service area construction Technical Field The application relates to the field of high-speed service areas, in particular to an Internet of things management method and system applied to high-speed service area construction. Background In the field of green construction and intelligent traffic fusion of a high-speed service area, a service area charging pile is used as a key infrastructure for guaranteeing long-distance endurance of new energy vehicles, stable and efficient operation during construction is directly related to road traffic efficiency, user satisfaction and construction safety, and is a core link for promoting seamless upgrading of traffic infrastructure and optimization of user experience. However, when the existing service area charging scheduling method is subjected to construction activity multiple physical field coupling interference, a mechanism for accurately sensing and dynamically counteracting micro-environment thermal load under construction disturbance is lacking, so that proper thermal safety pile positions cannot be distributed for vehicles to be charged urgently, and linkage problems such as equipment overheating, queuing confusion and the like are more likely to be induced under a complex scene of parallel construction and charging, and double bottlenecks of operation efficiency and safety are formed. Disclosure of Invention The application provides an Internet of things management method and system applied to high-speed service area construction, which aim to solve the technical problems. The application provides an Internet of things management method applied to construction of a high-speed service area, which comprises the steps of obtaining a high-speed vehicle dynamic information set, analyzing charging urgency indexes of each required charging vehicle according to the high-speed vehicle dynamic information set, constructing a virtual priority charging queue, obtaining a construction site multi-dimensional heat source information set, analyzing distribution of dynamic point-shaped heat sources and dynamic plane-shaped heat sources based on the construction site multi-dimensional heat source information set, constructing a dynamic thermal field optimization map by combining a real-time sunlight shadow map, carrying out pile level accurate allocation based on the virtual priority charging queue and the dynamic thermal field optimization map, providing construction dynamic regulation and control suggestions, and generating a charging scheduling report of a construction period of the high-speed service area. According to the technical scheme, intelligent priority distribution of charging resources is realized through the virtual queues, vehicle queuing waiting is effectively reduced, power supply of emergency vehicles is guaranteed, user satisfaction is improved, equipment overheat faults and construction safety risks can be prevented through dynamic thermal field management, construction reliability is improved, and finally generated scheduling reports provide comprehensive decision support for management staff, so that efficient, stable and safe operation of a service area can be maintained under a complex construction environment. The virtual priority charging queue is constructed by the steps of constructing a virtual priority charging queue, wherein the high-speed vehicle dynamic information set comprises real-time residual capacity of a vehicle, basic power consumption weight of the vehicle, real-time positions and running tracks, calculating reference energy consumption urgency of the vehicle based on the high-speed vehicle dynamic information set, predicting the residual time of the vehicle reaching a service area, dynamically analyzing the coupling relation between the reference energy consumption urgency and the residual time, generating a charging urgency index through an urgency index calculation formula, and sequencing all vehicles to be charged according to the charging urgency index to construct the virtual priority charging queue. The method comprises the steps of constructing a dynamic thermal field optimization map, wherein a construction site multidimensional heat source information set comprises construction machinery heat radiation data, aggregated vehicle group thermal field distribution data and environment background temperature data, identifying and positioning high-power construction equipment based on the construction machinery heat radiation data, modeling the equipment into the dynamic punctiform heat sources with radiation intensity and influence radius, modeling a vehicle group in an atypical congestion mode caused by construction into the dynamic planar heat sources with temperature gradient and diffusion effect through thermal imaging clustering analysis based on the aggregated vehicle group thermal field distribution data, calling the environment background temperature data