CN-122024398-A - Safety operation detection and alarm method in expressway maintenance operation scene

CN122024398ACN 122024398 ACN122024398 ACN 122024398ACN-122024398-A

Abstract

The invention provides a safety operation detection alarm method in a highway maintenance operation scene, which belongs to the technical field of highway construction safety detection and comprises the steps of automatically drawing an electronic fence of a construction safety area through real-time positioning data of an intelligent cone barrel and combining a risk tracing model and a dynamic boundary prediction mechanism, respectively constructing a data processing rule base of the intelligent cone barrel and intelligent wearable equipment, prefabricating multiple alarm types, processing multiple equipment data in real time, removing redundant alarms, pushing a notification in real time, dynamically adjusting the alarm intensity and mode of linkage equipment according to alarm grades, and triggering suitability alarm operation. The invention solves the problems of low efficiency, incomplete warning coverage, delayed response and insufficient linkage of the fence drawing in the prior art, realizes the precision, real-time and comprehensive safety protection, and effectively ensures the safety of constructors and equipment.

Inventors

GE FEI
ZHAO YU
WU DONGCHAO
CAO YANG
CHEN YU
CHEN LIANG
FANG CHUN
XU SHIJIA

Assignees

安徽省交规院工程智慧养护科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (8)

1. The safety operation detection and alarm method in the expressway maintenance operation scene is characterized by comprising the following steps of: The method comprises the steps of 1, automatically drawing an electronic fence of a construction safety area, namely, based on positioning data reported by an intelligent cone in real time, pre-judging a potential influence range of traffic flow through a dynamic boundary prediction mechanism, inputting the positioning data, environment data, road traffic flow data and construction flow data into a risk tracing model, screening effective positioning information and identifying blank points, further acquiring positioning information of characteristic points of the safety area and complementary information of the blank points, adjusting connection sequences among the characteristic points, and automatically constructing the electronic fence of the construction safety area, wherein the complementary information refers to the positioning complementary data corresponding to the blank points; step 2, constructing a data processing rule base, namely respectively constructing the data processing rule base based on the intelligent cone barrel and the intelligent wearable equipment, and prefabricating various alarm types; Based on the data processing rule base, real-time processing constructor positioning data, site environment data and multi-equipment cross verification data, identifying an alarm event, and immediately issuing an alarm notice after performing de-duplication processing on redundant alarm information of the same equipment, wherein the multi-equipment cross verification data is high-precision positioning data obtained by mutually comparing and calibrating the positioning data of an intelligent cone and the positioning data of intelligent wearable equipment; And 4, multi-equipment linkage alarming, namely pushing the alarming notification to a manager terminal, an on-site intelligent wearing equipment and an intelligent cone barrel according to a preset level, dynamically adjusting the alarming intensity and mode of the linkage equipment based on the alarming level, and triggering the intelligent wearing equipment and the intelligent cone barrel to execute adaptive alarming operation.
2. The method for detecting and alarming safety operation in the expressway maintenance operation scene according to claim 1, wherein the process of establishing the data processing rule base of the intelligent cone barrel comprises the following steps: The routine report data of the intelligent cone barrel are used for adjusting the range of the electronic fence in real time, the environment data collected by the wind speed sensor and the temperature sensor deployed by the intelligent cone barrel are used for monitoring environment factors, and the environment data are also used for inputting parameters of a risk tracing model; the burst report data of the intelligent cone is used for marking the state abnormality of the cone, and is associated with road traffic flow data and construction flow data; The intelligent cone barrel establishes real-time communication with intelligent wearing equipment, and the positioning error of single equipment is calibrated through the cross verification of multi-equipment positioning data.
3. The method for detecting and alarming safety operation in a highway maintenance operation scene according to claim 1, wherein the process of establishing the data processing rule base of the intelligent wearable device comprises the following steps: The routine report data of the intelligent wearable equipment are used for recording constructor positioning information and judging whether constructors have high-risk production behaviors or not, and the constructor positioning information participates in multi-equipment cross verification; The burst downlink data of the intelligent wearable device are used for pushing alarm information to constructors, and the content and pushing mode of the alarm information are matched with the alarm level.
4. The method for detecting and alarming safety operation in the expressway maintenance operation scene according to claim 1, wherein the intelligent cone alarm types comprise cone dumping alarm, cone collision alarm, wind speed abnormality alarm, temperature abnormality alarm and abnormality cause associated alarm based on risk tracing, and the intelligent wearable device alarm types comprise personnel out-of-range alarm, intelligent wearable device discarding alarm, personnel position abnormality alarm, high risk behavior early warning alarm and enhancement alarm based on personalized adaptation.
5. The method for detecting and alarming safety operation in a highway maintenance operation scene according to claim 1, wherein the step of adjusting the connection sequence between the characteristic points and automatically constructing the electronic fence of the construction safety area comprises the following steps: Acquiring an auxiliary motion matrix of a corresponding intelligent cone at each monitoring moment based on a motion sensing layer built in each intelligent cone, wherein the auxiliary motion matrix comprises a sensing motion vector based on each sensing point in the motion sensing layer, and setting a unique position code based on the intelligent cone for each sensing point, and the sensing motion vector comprises the stress magnitude, stress duration and stress mutation rate of the corresponding sensing point in an X axis, a Y axis and a Z axis respectively, the gesture change rate of the corresponding sensing point and the motion state mutation times of the corresponding sensing point in unit time; When each row of vectors in the auxiliary motion matrix is in a standard perception range, judging that the intelligent cone barrel is in a normal state, and reserving positioning information in the normal state, wherein the normal state is a state of no external collision and standard placement; Otherwise, comparing the first element in each row of vectors with a standard range of a corresponding first element in the standard perception range, if the difference value is 0 in the corresponding standard range, otherwise, acquiring a deviation coefficient of the first element based on the corresponding standard range and combining the mutual influence relation of each first element and other elements, and adjusting the corresponding deviation coefficient, wherein the first element is any element in each row of vectors, and the other elements are the other elements except the first element in the corresponding row vectors; Forming a difference vector based on a difference value related to the corresponding row vector and the adjustment coefficient, and determining a difference grade; re-ordering all the difference vectors according to the level of the difference level to obtain a new matrix, acquiring a first sequence of the new matrix based on the unique position codes, and simultaneously acquiring an initial sequence of the auxiliary motion matrix based on the unique position codes; Meanwhile, a motion reference diffusion diagram based on a motion sensing layer is constructed according to the first sequence, and a diffusion state pair group marked on each sensing point in the motion reference diffusion diagram is formed, wherein the diffusion state pair group comprises a motion time for receiving vibration diffusion transmission of other sensing points, a motion time for receiving vibration force, a motion time for sending vibration diffusion to the other sensing points and a vibration force; According to the sequence overlapping condition of the initial sequence and the first sequence, combining the diffusion state pair group marked by each sensing point, road traffic flow data and construction flow data, determining the abnormal state and the abnormal reason of the intelligent cone through a risk tracing model, and combining the positioning change information of the intelligent cone before and after the abnormal state to determine the reference value of the positioning information; When the reference value is greater than a preset value, acquiring the latest effective positioning and retaining in the positioning change information before and after the intelligent cone is in an abnormal state; otherwise, deleting the positioning information acquired by the corresponding intelligent cone barrel, and regarding the corresponding safety zone characteristic points as blank points; Determining the supplementary information of the blank point by adopting an improved environment self-adaptive spatial interpolation algorithm according to the abnormal state, the abnormal reason and the current state of the intelligent cone barrel corresponding to the peripheral feature point and the positioning information corresponding to the abnormal state under the condition that the nearest reference value is larger than the preset value, wherein the improved environment self-adaptive spatial interpolation algorithm dynamically adjusts interpolation weight by combining a historical construction area feature library and a real-time traffic rolling track; Based on the supplementary information and the original positioning information, the connection sequence between the characteristic points is adjusted by relying on the lane trend graph of the maximum position area formed by all deployed intelligent cones, and the electronic fence of the construction safety area is automatically constructed.
6. The safety operation detection warning method in the expressway maintenance operation scene according to claim 5, wherein determining the supplemental information for the blank point comprises: Acquiring an abnormal state of the intelligent cone barrel corresponding to the blank point, an abnormal type and an influence range of the abnormal cause, acquiring a current state of the intelligent cone barrel corresponding to each peripheral characteristic point of the blank point in real time, regarding the cone barrel with the current state consistent with the abnormal type as a continuous cone barrel, and constructing a state-position distribution diagram of the blank point based on the continuous cone barrel; meanwhile, screening the positioning information of the intelligent cone barrel which is closest to the occurrence position of the abnormal state and has a reference value larger than a preset value, regarding the positioning information as a first positioning, and calibrating the first positioning in the state-position distribution diagram; And determining and obtaining the supplementary information of the blank point based on the influence weight of the abnormal type, the association weight of the abnormal reason, the calibrated state-position distribution diagram and the accuracy weight of the first positioning and based on an improved environment self-adaptive spatial interpolation algorithm.
7. The method for detecting and alarming safety operation in a highway maintenance operation scene according to claim 5, wherein adjusting the connection sequence between the feature points comprises: Initial lane trend graphs are initially generated based on the original positioning information of all intelligent cone barrels in the maximum position area and the positioning data after multi-equipment cross verification; Capturing time sequence shooting images of the passing vehicles on the maximum position area, correcting the width parameters and the road curvature parameters of each traffic lane in the initial lane trend map based on image feature matching, area contour geometric analysis and time sequence track extraction, and obtaining a basic lane trend map fused with the actual road form; based on time sequence analysis of the photographed images of the past vehicles, predicting potential influence ranges of traffic flows on the construction area, and merging the potential influence ranges serving as dynamic boundary prediction results into a basic lane trend graph to obtain an accurate lane trend graph; Mapping locating points corresponding to the supplemental information and characteristic points corresponding to the original locating information into corresponding lane operation areas of the accurate lane trend map one by one; And carrying out self-adaptive sequencing adjustment on the connection sequence of all the mapped characteristic points based on the lane linear extension logic of the accurate lane trend chart, the boundary constraint of the safety operation area corresponding to the lane width, the characteristic point arrangement radian requirement corresponding to the road curvature and the dynamic boundary protection requirement.
8. The method for detecting and alarming safety operation in a highway maintenance operation scene according to claim 1, wherein triggering the intelligent wearable device to execute an alarming operation comprises: After the intelligent wearable equipment receives the alarm notification, synchronously starting a preset alarm combination action, and capturing alarm execution state data, personnel response data and environment interference data through a multi-dimensional sensor group arranged in the equipment, wherein the alarm execution state data comprises loudspeaker real-time volume V1, LED explosion frequency F1 and vibration motor amplitude A1, and the personnel response data comprises constructor real-time heart rate variation Body displacement acceleration a, head steering angle The environmental interference data comprises a site environmental noise value N and an environmental illumination intensity L; Determining a personalized adaptation factor based on historical response data of constructors, and adjusting weights corresponding to alarm execution state data, personnel response data and environmental interference data by combining the personalized adaptation factor to determine personnel receiving effectiveness scores S1 of the intelligent wearable equipment; And if the personnel receiving availability score S1 is smaller than the receiving availability threshold S0, judging that the receiving is false.

Description

Safety operation detection and alarm method in expressway maintenance operation scene Technical Field The invention relates to the technical field of highway construction safety detection, in particular to a safety operation detection alarm method in a highway maintenance operation scene. Background In the expressway maintenance operation scene, the operation area needs to be temporarily sealed to ensure the safety of constructors and equipment. In the prior art, a manner of placing a cone barrel is generally adopted to realize temporary closure of a lane, but the cone barrel only has a warning effect on a passing vehicle, cannot standardize the operation behaviors of constructors, cannot sense the on-site environment change (such as wind speed and abnormal temperature) and external intrusion risk, and brings great potential safety hazards to constructors and equipment. Meanwhile, the existing safety protection device in the market has single function, can record the positioning information of maintenance personnel, can only realize postmortem responsibility, cannot timely send alarm information when risks occur, and prompts personnel to avoid or take emergency measures. The system has the following defects that 1, a construction safety zone needs to be drawn manually, an automatic drawing mechanism based on equipment positioning data is lacked, drawing efficiency is low, accuracy is not enough, 2, an alarm information notification flow is complex, alarm type coverage is not complete, real-time pushing cannot be achieved, risk response is lagged, 3, a cone barrel only can achieve simple lamplight explosion and flashing, linkage with intelligent wearing equipment worn by constructors cannot be achieved, alarm effect is limited, and on-site personnel are difficult to be reminded rapidly to avoid risks. Therefore, the invention provides a safety operation detection and alarm method in a highway maintenance operation scene. Disclosure of Invention The invention provides a safety operation detection and alarm method in a highway maintenance operation scene, which is used for solving the technical problems. The invention provides a safety operation detection and alarm method in a highway maintenance operation scene, which comprises the following steps: The method comprises the steps of 1, automatically drawing an electronic fence of a construction safety area, namely, based on positioning data reported by an intelligent cone in real time, pre-judging a potential influence range of traffic flow through a dynamic boundary prediction mechanism, inputting the positioning data, environment data, road traffic flow data and construction flow data into a risk tracing model, screening effective positioning information and identifying blank points, further acquiring positioning information of characteristic points of the safety area and complementary information of the blank points, adjusting connection sequences among the characteristic points, and automatically constructing the electronic fence of the construction safety area, wherein the complementary information refers to the positioning complementary data corresponding to the blank points; step 2, constructing a data processing rule base, namely respectively constructing the data processing rule base based on the intelligent cone barrel and the intelligent wearable equipment, and prefabricating various alarm types; Based on the data processing rule base, real-time processing constructor positioning data, site environment data and multi-equipment cross verification data, identifying an alarm event, and immediately issuing an alarm notice after performing de-duplication processing on redundant alarm information of the same equipment, wherein the multi-equipment cross verification data is high-precision positioning data obtained by mutually comparing and calibrating the positioning data of an intelligent cone and the positioning data of intelligent wearable equipment; And 4, multi-equipment linkage alarming, namely pushing the alarming notification to a manager terminal, an on-site intelligent wearing equipment and an intelligent cone barrel according to a preset level, dynamically adjusting the alarming intensity and mode of the linkage equipment based on the alarming level, and triggering the intelligent wearing equipment and the intelligent cone barrel to execute adaptive alarming operation. Preferably, the process of establishing the data processing rule base of the intelligent cone bucket includes: The routine report data of the intelligent cone barrel are used for adjusting the range of the electronic fence in real time, the environment data collected by the wind speed sensor and the temperature sensor deployed by the intelligent cone barrel are used for monitoring environment factors, and the environment data are also used for inputting parameters of a risk tracing model; the burst report data of the intelligent cone is used for marking the state abnormality of th