CN-121684655-B - Road construction risk assessment and early warning system

CN121684655BCN 121684655 BCN121684655 BCN 121684655BCN-121684655-B

Abstract

The invention relates to the technical field of risk identification, in particular to a road construction risk assessment and early warning system. According to the method, multi-source data such as air pressure change rate, surface temperature fluctuation amplitude, humidity average gradient and traffic instantaneous density are fused, a risk distribution result containing position, range and grade marks is generated through space average value operation and difference comparison, the boundary is dynamically adjusted according to region difference and disturbance convergence threshold value, the highest risk type is extracted, a risk channel is marked according to the relevance of equipment operation rhythm and traffic flow change direction, the risk source position is accurately positioned according to the superposition proportion of multiple mutation parameters and direction vectors, the downstream path priority is determined according to the consistency of multiple change directions, and time sequence, space identification and sequencing of a risk chain are realized.

Inventors

XU CAIBIN
ZHAO SHUXIN
TANG TANG
YANG YANG
YIN YU
CHEN XI
LIN TAO
SHI JI
YU JUN
CHEN CONGJING
LI JING
ZHAO TONG
SUN JIE

Assignees

成都嘉新科技集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260206

Claims (6)

1. A roadway construction risk assessment and early warning system, the system comprising: The disturbance information acquisition module acquires the air pressure change rate, the surface temperature fluctuation amplitude, the humidity average gradient and the traffic instantaneous density of the construction area, respectively takes the average value of the center and the adjacent monitoring points, performs dimensionless treatment on the four results, performs weighted summation on preset weights, and compares the weighted summation with a risk reference value to generate an environmental risk distribution map; The risk section dividing module compares four mean differences of adjacent areas with a spatial disturbance convergence threshold according to the environmental risk distribution diagram, merges the four mean differences and the spatial disturbance convergence threshold when the conditions are met, selects a risk value to label a risk type, and generates a risk concentration area list; the risk path identification module is used for detecting the change direction of the running rhythm speed of the equipment and the disturbance of the traffic flow velocity in three continuous sections based on the risk concentration area list, detecting the wind speed increase speed and the wind speed increase threshold value when the directions are opposite, marking the influence direction and obtaining a risk channel list; the risk path identification module includes: The rhythm detection submodule detects running rhythm speed of road construction equipment in three continuous time periods and traffic flow disturbance in an area based on the risk concentration area list, and extracts the change direction of indexes in a time sequence to obtain a construction and traffic direction trend group; The direction judging sub-module compares whether the construction rhythm is opposite to the change direction of traffic disturbance item by item according to the construction and traffic direction trend group, screens grid areas with opposite change directions, acquires the wind speed increase rate corresponding to the areas, and calls a set wind speed increase threshold value to carry out difference judgment to obtain a disturbance conflict area set; the channel marking sub-module judges whether the wind speed increase exceeds a wind speed increase threshold according to the disturbance conflict area set, spatially marks the exceeded items, integrates connectivity of continuous sections with traffic and equipment direction conflicts, establishes a cross-area continuous structure, and generates a risk channel list; the risk source locking module acquires abrupt change values of a displacement abrupt rise rate, a vibration response change slope and a device rhythm offset rate according to the risk channel list, calculates a direction vector superposition ratio, screens a maximum point of the ratio, and combines response time delay and disturbance intensity difference of adjacent control nodes to acquire a risk source position; The risk source locking module includes: The displacement sudden rise rate acquisition submodule acquires sudden change values of the displacement sudden rise rate, the vibration response change slope and the equipment operation rhythm offset rate of the road construction site in three time periods based on the risk channel list, and arranges the sudden change values into a unified data set according to the time period sequence to generate a sudden change value sequence; the direction vector superposition ratio calculation sub-module calculates the superposition ratio of the monitoring point direction vector and the channel direction according to the abrupt change value sequence, calculates and acquires a direction superposition ratio value, screens the monitoring point of the maximum direction superposition ratio value, and acquires the maximum superposition ratio point; The position judging submodule calls the maximum coincidence proportion point, compares the response time delay of the adjacent control nodes with the disturbance intensity difference, selects a monitoring point with the response time delay smaller than a preset time delay threshold value and the disturbance intensity difference larger than a preset intensity threshold value, and acquires the position of a risk source, and the direction vector coincidence proportion calculating submodule calculates the coincidence proportion of the direction vector of the monitoring point and the direction of a channel according to the mutation value sequence, and adopts the formula: ; calculating to obtain a direction coincidence proportion value, and screening a monitoring point of the maximum direction coincidence proportion value to obtain a maximum coincidence proportion point; Wherein, the The value of the direction coincidence proportion is indicated, Indicating that the monitoring point is at the first The direction vector component of each time period, Indicating that the channel is at the first The directional component of the individual time periods, Indicating that the monitoring point is at the first The value of the mutation in the individual time periods, Indicating that the monitoring point is at The average value of the mutation values of the respective time periods, The number of time periods is indicated and, Representing the two weight coefficients of the two-dimensional model, The mutation value reference scale is represented.
2. The system of claim 1, wherein the environmental risk profile includes a risk area location, a risk numerical range, and a risk class, the risk concentration area list includes a concentration area number, a boundary range, and a risk type, the risk channel list includes a channel number, a channel trend, and a degree of influence class, and the risk source location includes coordinate information, direction information, and a range of influence.
3. The road construction risk assessment and early warning system according to claim 1, wherein the disturbance information acquisition module comprises: The air pressure processing sub-module acquires air pressure change rate data of the center and the adjacent positions of monitoring points in the grid of the road construction area, and sequentially carries out average processing on call data of each grid to generate an air pressure disturbance balancing result; the environmental parameter processing sub-module combines the air pressure disturbance balance result value, carries out weighting processing on the surface temperature fluctuation amplitude, the humidity average gradient and the traffic instantaneous density change rate of the monitoring points in the grid, merges according to the grid structure, and generates a comprehensive environmental disturbance intensity expression result through multi-index weighting superposition; And the risk comparison sub-module extracts construction environment risk reference values of corresponding areas based on the environment disturbance intensity expression results, compares and calculates the difference degree between the disturbance intensity and the reference values, generates a spatial distribution map layer in the grid of the whole area, and generates an environment risk distribution map.
4. The road construction risk assessment and early warning system according to claim 3, wherein the risk section dividing module comprises: The difference recognition submodule acquires the environmental disturbance intensity values of adjacent grid areas in the environmental risk distribution diagram, calculates the mean value difference between the adjacent areas respectively, calls a set spatial disturbance convergence threshold value to judge, recognizes the area combination within the threshold value range, and generates an area disturbance difference list; The region merging sub-module performs region boundary splicing operation according to the grid groups marked as mergeable in the region disturbance difference list, and divides grids meeting the conditions into unified region codes, and sorts the grids to form a connected space structure to obtain a merged region list; And the risk labeling submodule calls a risk value sequence corresponding to the region in the combined region list, retrieves the maximum risk value in the sequence, extracts corresponding risk type information, uniformly labels the corresponding region, sorts the corresponding region to form a space set with risk type labels, and generates a risk concentration region list.
5. The roadway construction risk assessment and early warning system of claim 1, further comprising a risk event ordering module: The risk event sequencing module invokes the risk source position, detects the speed of wind speed increase of a downstream path, the speed of rhythm of equipment and the change of instantaneous density of traffic, judges consistency in three directions, lists a path with the largest consistency metric value as the first position, and establishes a risk event triggering sequence table; The risk event trigger sequence table includes a path number, a priority sequence, and a risk feature class.
6. The roadway construction risk assessment and early warning system of claim 5, wherein the risk event ordering module comprises: The path parameter detection submodule invokes the risk source position, detects the change of the wind speed growth rate, the change of the running rhythm rate of construction equipment and the change of the traffic instantaneous density in a downstream path road construction area, records the change values of three indexes in the same time window under the path respectively, and generates a path change parameter set according to the path merging arrangement; The change direction comparison sub-module judges whether the change directions of the three indexes in the paths are consistent according to the path change parameter set, respectively carries out symbol normalization processing on the change direction of the speed increase rate in the paths, the change direction of the speed change of the equipment rhythm and the change direction of the traffic instantaneous density, quantifies according to the consistency degree of the direction vectors, calculates and acquires the consistency metric value of the paths, and sorts all paths from high to low to obtain a path consistency sorting list; and the event sequence generating sub-module selects a path with the largest consistency metric value as a first position according to the path consistency sorting list, sequentially lists the sorting orders of all paths, establishes a corresponding event number sequence structure and generates a risk event triggering sequence table.

Description

Road construction risk assessment and early warning system Technical Field The invention relates to the technical field of risk identification, in particular to a road construction risk assessment and early warning system. Background The technical field of risk identification relates to identification, classification and evaluation of potential risk sources so as to prevent and control accidents or abnormal events. The technical field core matters comprise intelligent identification of risk factors based on information such as environmental data, historical accident data, real-time monitoring data and the like through modes such as modeling analysis, mode identification and trend judgment. In the whole, links such as risk data acquisition, feature extraction, risk level judgment and information prompt are covered in the field, and the method is widely applied to scenes such as transportation, industrial manufacturing, energy management and building construction, and aims to pre-judge and warn the risk before the risk occurs, so that the possibility and the harm of accident occurrence are reduced. The traditional road construction risk assessment and early warning system is a system for identifying and judging safety risks possibly existing in a road construction scene by a pointer and mainly aims at risk factors such as geological condition change, traffic flow interference, operation state of a working machine, weather influence and the like of a construction area. The technical matters aimed at are how to realize systematic identification and dynamic evaluation of the multisource risk factors in the road construction process. The traditional road construction risk assessment and early warning mode generally adopts a method of combining site manual inspection with static construction scheme comparison to carry out risk judgment, and the method comprises the steps of judging the safety level of a construction area according to manual experience, collecting construction site environment parameters based on fixed sensors, carrying out simple comparison analysis, carrying out logic check on construction steps by using construction drawings and the like, so that a risk prompt basis is formed. In the prior art, limited static data and scattered manual inspection information are relied on in road construction risk judgment, the multi-source real-time data fusion capability is lacked, the risk distribution is in an incomplete state due to insufficient coverage of a spatial range, the dynamic change of a construction environment is difficult to adapt to due to fixed regional division mode, the situation that the risk characteristics are weakened easily occurs in single parameter analysis under multi-factor interaction, the accuracy is insufficient due to indirect inference of risk source positioning, the event sequencing is single according to the fact that the time sequence relevance cannot be reflected, the risk response opportunity is easily delayed under complex traffic and environment disturbance conditions, and the early warning effectiveness is reduced. Disclosure of Invention The invention aims to solve the defects in the prior art, and provides a road construction risk assessment and early warning system. In order to achieve the above purpose, the invention adopts the following technical scheme that the road construction risk assessment and early warning system comprises: the disturbance information acquisition module acquires the air pressure change rate, the surface temperature fluctuation amplitude, the humidity average gradient and the traffic instantaneous density of the construction area, respectively takes the average value of the center and the adjacent monitoring points, performs dimensionless treatment on the four results, performs weighted summation on preset weights, and compares the weighted summation with a risk reference value to generate an environmental risk distribution map; The risk section dividing module compares four mean differences of adjacent areas with a spatial disturbance convergence threshold according to the environmental risk distribution diagram, merges the four mean differences and the spatial disturbance convergence threshold when the conditions are met, selects a risk value to label a risk type, and generates a risk concentration area list; the risk path identification module is used for detecting the change direction of the running rhythm speed of the equipment and the disturbance of the traffic flow velocity in three continuous sections based on the risk concentration area list, detecting the wind speed increase speed and the wind speed increase threshold value when the directions are opposite, marking the influence direction and obtaining a risk channel list; And the risk source locking module acquires the abrupt change values of the displacement abrupt rise rate, the vibration response change slope and the equipment rhythm offset rate according to the risk channel lis