CN-122024438-A - Intelligent early warning method and system for illegal behaviors of overhead operators

CN122024438ACN 122024438 ACN122024438 ACN 122024438ACN-122024438-A

Abstract

The invention discloses an intelligent early warning method and system for illegal behaviors of overhead operators, and relates to the technical field of overhead operation early warning. The method comprises the steps of confirming a target object anchor point according to large-span high-altitude operation, determining a running track range by the target object anchor point, an operation scheme and hoisting equipment parameters, performing risk early warning gradient segmentation to construct an installation risk gradient ring, collecting task attribute and execution state information of operators, identifying the running track and risk assembly level of the operators, performing risk triggering matching to obtain a risk triggering level, and generating operation early warning information based on the risk triggering level. The technical problems that operation violations are difficult to dynamically identify by combining an operation space in the prior art, early warning is not timely and missed judgment exists are solved, dynamic matching is carried out on the running track of personnel based on a risk gradient ring, hierarchical intelligent early warning of the operation violations in the high altitude is achieved, and therefore the technical effects of early warning timeliness and accuracy are improved.

Inventors

ZHANG CHENG
YU YANG
LAN CHAO
ZHOU KAI
WANG WEIDONG
QIN CHAOQUN
WANG BENZHONG
ZHANG YE
Tian Yunqin
WEN XUMING

Assignees

中铁三局集团有限公司
中铁三局集团第四工程有限公司

Dates

Publication Date: 20260512
Application Date: 20260109

Claims (10)

1. The intelligent early warning method for the illegal behaviors of the overhead working personnel is characterized by comprising the following steps: Confirming a target object anchor point according to the large-span high-altitude operation, and determining a running track range by using the target object anchor point, an operation scheme and hoisting equipment parameters; performing risk early warning gradient segmentation according to the running track range, and constructing an installation risk gradient ring; collecting task attributes and execution state information of operators, and identifying the running track and risk assembly level of the operators; Performing risk triggering matching on the running track and the risk assembly level by using the installation risk gradient ring to obtain a risk triggering level; And generating operation early warning information based on the risk triggering level.
2. The intelligent warning method for the illegal behaviors of the aerial working personnel according to claim 1, wherein the target anchor point confirmation is carried out according to the large-span aerial working, and the method comprises the following steps: acquiring a key task target point of large-span high-altitude operation, wherein the key task target point comprises a steel truss girder key hanging point, an assembly node center and a temporary support connecting point; resolving the movement response relation of the key task target point to obtain movement response description parameters; And performing risk evaluation according to the mobile response description parameters, and taking the key task target point with the maximum risk value and the widest risk range as the target object anchor point.
3. The intelligent warning method for the illegal behaviors of the aerial working personnel according to claim 2, wherein the step of analyzing the movement response relation of the mission-critical target point to obtain movement response description parameters comprises the following steps: based on the installation flow of the large-span high-altitude operation, analyzing the spatial displacement change, the attitude change and the stress transmission characteristics of each key task target point in the hoisting, translation, rotation and splicing processes; according to the spatial displacement change, the attitude change and the stress transmission characteristics, a movement response relation between a movement state and a stress state of a key task target point in the construction process is constructed; and extracting description parameters of the whole task process cycle according to the movement response relation to obtain movement response description parameters reflecting the movement sensitivity and risk influence in the target point operation.
4. The intelligent warning method for the illegal behaviors of the aerial working personnel according to claim 2, wherein the risk evaluation is performed according to the movement response description parameter, and a critical task target point with the largest risk value and the widest risk range is used as the target object anchor point, and the intelligent warning method comprises the following steps: based on the moving response description parameters, constructing a risk evaluation index system for representing the movement uncertainty, the stress sensitivity and the influence degree of the critical task target point on the surrounding construction space in the construction process; performing standard quantification processing on the movement response description parameters of each key task target point through the risk evaluation index system, and calculating a corresponding risk evaluation value; according to the risk evaluation value, analyzing a risk influence range corresponding to each critical task target point, wherein the risk influence range is a space range in which the critical task target point has a safety effect on the stability of operators, construction equipment or structures in the process of movement and stress change; and determining the target object anchor point according to the risk evaluation value and the risk influence range.
5. The intelligent early warning method for the illegal behaviors of the aerial working personnel according to claim 1, wherein the determination of the running track range is performed by using the anchor point of the target object, the working scheme and the parameters of hoisting equipment, and the method comprises the following steps: analyzing the operation scheme and the hoisting equipment parameters, and determining a path constraint boundary; On the basis of the current position of the target object anchor point, determining at least one future guiding position along the installation direction specified by the operation scheme, wherein the selection distance of the guiding position is dynamically determined according to the construction stage, the movement capacity of the hoisting equipment and the safety margin of the operation space; And analyzing the change trend of the movement direction required by the target in the process of reaching the guiding position based on the space geometrical relationship between the current description position of the target and the future guiding position, analyzing the feasible continuous movement path form of the target in space, and obtaining the movement track range under the condition of meeting the path constraint boundary.
6. The method for intelligent warning of aloft work personnel's offensiveness according to claim 5, wherein obtaining the moving track range comprises: Expanding a space region of the target object passing through in the construction process according to the motion geometric relation of the target object, the capacity constraint of the hoisting equipment and the operation scheme limit, and carrying out space enveloping on all feasible motion paths of the target object to obtain a motion track range of the target object, wherein the motion track range is a continuous three-dimensional space region and represents the reachable motion range of the target object in the whole construction process; and tracking task progress, updating the anchor point position of the target object and the running state of the equipment in real time, and dynamically correcting the running track range by utilizing the updated guiding position and the equipment capacity to ensure that the running track range is consistent with the actual construction state.
7. The intelligent warning method for the illegal behaviors of the aerial working personnel according to claim 1, wherein the risk warning gradient segmentation is performed by the running track range, and the installation risk gradient ring is constructed, and the method comprises the following steps: Dividing the moving track range into a plurality of continuous space units, wherein the continuous space units have the space coordinate attributes of the plane direction and the height direction; analyzing the installation risk of each structure position according to the structure position corresponding to each space unit, and configuring the structure risk weight, wherein the structure position at least comprises a cross-center area, a cross-edge area, an adjacent support or a temporary support area; according to the height information in the height direction, carrying out height layering on the space units, and determining a height risk weight; identifying a construction procedure according to the current construction stage, and configuring procedure risk weights according to risk coefficients of the construction procedure; performing space coordinate mapping according to the structural risk weight, the high risk weight and the process risk weight, and performing risk quantification on space units corresponding to the coordinates; based on the risk quantification result, carrying out risk classification according to the hierarchy risk interval, and establishing a risk class identifier of the space unit; And carrying out same-level space aggregation and splicing according to the risk level identification, constructing a plurality of risk level region distributions, and forming the installation risk gradient ring.
8. The intelligent warning method for the illegal actions of the aerial working personnel according to claim 7, wherein the steps of collecting task attributes and execution state information of the working personnel, and identifying the running track and risk assembly level of the working personnel comprise the following steps: Acquiring identity information and appearance image information of an operator, and identifying task attributes of the operator, including work type, operation task category, operation area authority, operation assembly wearing state or operation equipment state; collecting execution state information of an operator in a construction process, wherein the execution state information comprises a real-time space position, a moving speed, a traveling direction and an operation duration; Based on the execution state information, track extraction is carried out on continuous position changes of operators in a construction space, and the running track of the operators in a future time window is predicted by combining task attributes; Carrying out safety matching on the work type, the work task type, the work area authority and the work assembly wearing state or the operation equipment state, identifying the wearing risk level, and directly sending the work early warning information when the wearing risk level exceeds a threshold value; when the wearing risk level meets the requirement, carrying out risk matching identification according to the wearing risk level and combining with the running track, and determining the risk assembly level, wherein the risk assembly level is used for representing the construction risk degree that an operator can resist or can match in the current state.
9. The intelligent warning method for the illegal behaviors of the aerial working personnel according to claim 8, wherein the risk triggering matching is performed on the running track and the risk assembly level by using the installation risk gradient ring, so as to obtain a risk triggering level, and the method comprises the following steps: performing position coordinate alignment based on the running track and the installation risk gradient ring, matching according to the running track and the dynamic risk state of the installation risk gradient ring, obtaining the matching degree of the risk assembly grade and the installation risk gradient, determining the risk triggering grade according to the installation risk gradient when the matching degree is exceeded, and sending corresponding operation early warning information; The method comprises the steps of updating and predicting the running track of an operator in real time, installing risk distribution of a risk gradient ring, carrying out dynamic time sequence analysis on risk matching degree based on a position alignment relation updated in real time by utilizing the running track to be aligned with position coordinates of the risk gradient ring, carrying out risk early recognition based on the time sequence matching degree, and generating time sequence early warning information.
10. An intelligent warning system for the violation of an overhead working personnel, which is characterized by being used for implementing the intelligent warning method for the violation of the overhead working personnel according to any one of claims 1-9, and comprising the following steps: the track range determining module is used for determining a target object anchor point according to the large-span high-altitude operation, and determining a running track range according to the target object anchor point, an operation scheme and hoisting equipment parameters; The early warning gradient segmentation module is used for carrying out risk early warning gradient segmentation according to the moving track range, and constructing an installation risk gradient ring; the identification module is used for acquiring task attributes and execution state information of the operators and identifying the running track and risk assembly level of the operators; the risk matching module is used for performing risk triggering matching on the running track and the risk assembly level by using the installation risk gradient ring to obtain a risk triggering level; and the early warning module is used for generating operation early warning information based on the risk triggering level.

Description

Intelligent early warning method and system for illegal behaviors of overhead operators Technical Field The invention relates to the technical field of overhead operation early warning, in particular to an intelligent early warning method and system for illegal behaviors of overhead operators. Background The high-altitude operation widely exists in engineering scenes such as bridge construction, steel structure installation, large-scale equipment hoisting and power engineering, and the like, and has the advantages of large operation space span, high operation height and complex operation environment, and once the operation personnel have illegal behaviors, the safety accidents such as falling, collision or equipment instability are extremely easy to cause. The existing high-altitude operation safety management mode is mostly dependent on manual inspection, video monitoring or simple threshold alarming, and the behavior judgment of operators is often based on static rules or single space boundaries, so that dynamic analysis is difficult to be carried out by combining an actual operation space structure, an operation scheme and an equipment running track. Under a large-span and high-dynamic operation scene, the movement track of an operator, the operation position and the operation range of equipment have complex space coupling relation, the risk difference corresponding to different space positions is difficult to accurately describe by the traditional early warning mode, the problem of early warning lag or missed judgment easily occurs, and the hierarchical recognition and accurate early warning of illegal behaviors cannot be realized. Disclosure of Invention The application provides an intelligent early warning method and system for the illegal behaviors of overhead operators, which solve the technical problems that the prior art is difficult to dynamically identify the illegal behaviors of the operations by combining the operation space, so that early warning is not timely and judgment omission exists. The first aspect of the application provides an intelligent warning method for illegal behaviors of overhead operators, which comprises the following steps: The method comprises the steps of confirming a target object anchor point according to large-span high-altitude operation, determining a running track range according to the target object anchor point, an operation scheme and hoisting equipment parameters, dividing a risk early warning gradient according to the running track range to construct an installation risk gradient ring, collecting task attribute and execution state information of an operator, identifying the running track and risk assembly level of the operator, performing risk triggering matching on the running track and the risk assembly level by using the installation risk gradient ring to obtain a risk triggering level, and generating operation early warning information based on the risk triggering level. In a second aspect of the present application, there is provided an intelligent warning system for aloft work personnel's offensiveness, the system comprising: The system comprises a track range determining module, an early warning gradient segmentation module, an identification module, a risk matching module and an early warning module, wherein the track range determining module is used for determining a target object anchor point according to large-span high-altitude operation, determining a running track range according to the target object anchor point, an operation scheme and hoisting equipment parameters, the early warning gradient segmentation module is used for performing risk early warning gradient segmentation according to the running track range to construct an installation risk gradient ring, the identification module is used for collecting task attributes and execution state information of operators and identifying running tracks and risk assembly levels of the operators, the risk matching module is used for performing risk triggering matching on the running track and the risk assembly levels by using the installation risk gradient ring to obtain risk triggering levels, and the early warning module is used for generating operation early warning information based on the risk triggering levels. One or more technical schemes provided by the application have at least the following technical effects or advantages: Firstly, confirming a target object anchor point according to large-span overhead operation, and determining a running track range by using the target object anchor point, an operation scheme and hoisting equipment parameters. And then, carrying out risk early warning gradient segmentation in a running track range, and constructing and installing a risk gradient ring. And then, acquiring task attributes and execution state information of the operators, identifying the running track and risk assembly level of the operators, and performing risk triggering matching on the ru