CN-121998418-A - Automatic checking method and system for potential safety hazards of expressway construction site

CN121998418ACN 121998418 ACN121998418 ACN 121998418ACN-121998418-A

Abstract

The invention discloses an automatic checking method and system for potential safety hazards of a highway construction site, which belong to the field of data processing, and the automatic checking method for potential safety hazards of the highway construction site comprises the following steps of continuously collecting original data from various intelligent sensing units, converging multi-element heterogeneous original data to a unified data receiving platform; the method realizes the active, advanced identification and millisecond decision of complex risks (such as water burst precursors) through the dynamic fusion and early warning of multi-engine intelligent diagnosis and analysis results, and changes the traditional post-reaction management mode into the active management and control mode of pre-early warning and automatic treatment.

Inventors

HUANG FEIYANG
LIANG SHENG
PENG XIAOLONG
Li Shuogui
REN JIAHANG

Assignees

广西路桥工程集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260119

Claims (10)

1. The automatic potential safety hazard checking method for the expressway construction site is characterized by comprising the following steps of: Continuously collecting the original data from various intelligent sensing units, converging the multi-element heterogeneous original data to a unified data receiving platform, and completing automatic mapping from the physical world to the digital world; according to preset rules and algorithms, automatically performing data cleaning, format standardization, time stamp alignment and space position binding on the original data, and associating displacement data, stress data and geological sketch information of the same monitoring area to generate a standardized fusion data set with uniform space-time coordinates; inputting the fusion data set into a risk diagnosis engine to identify hidden danger, firstly, executing real-time logic judgment based on an explicit rule, automatically comparing real-time data with a preset safety threshold value to obtain a first analysis result, secondly, performing association analysis based on a multi-parameter model, and calculating coupling relations and variation trends of a plurality of key parameters by calling a built-in special engineering model to obtain a second analysis result; And automatically fusing the three analysis results to finally generate a structured early warning instruction containing hidden danger types, levels, positions and confidence degrees.
2. The automatic checking method for potential safety hazards on expressway construction site according to claim 1, wherein the step of automatically fusing three analysis results to finally generate a structured early warning instruction including potential hazard types, grades, positions and confidence degrees specifically comprises the steps of: judging the specific environment state of the current tunnel construction, and distributing an initial decision influence reference weight to three analysis engines according to strategies preset by different environment states, wherein the decision influence reference weight defines which type of analysis logic is more dependent in the current environment; After obtaining the preliminary risk judgment of each analysis engine, quantitatively evaluating the reliability of each analysis result, wherein the evaluation is based on the quality and the integrity of data used for generating the analysis result, the certainty of the analysis process and the recent early warning accuracy history of the analysis engine, and a dynamic confidence score is calculated for each analysis result; Based on the confidence scores of the analysis results, the actual weight of the analysis results in the final decision is dynamically adjusted, then a comprehensive risk value is obtained through weighted fusion, and a structured early warning instruction containing hidden danger types, levels, positions and confidence is generated; if the comprehensive risk value exceeds the preset first risk threshold, and the conclusion of a plurality of analysis engines indicates high risk or more, a clear early warning is sent out, and if the comprehensive risk value exceeds the preset first risk threshold but indicates that the analysis engines of the high risk or more are not more than half, a reinforced monitoring instruction is generated and pushed instead of a direct warning so as to avoid false alarm.
3. The automatic check method for potential safety hazards in a highway construction site according to claim 1, further comprising: Based on the generated structured early warning instruction, automatically executing multi-path response and closed-loop management, namely pushing early warning information to terminal equipment of related responsible personnel, synchronously activating an audible and visual alarm device in a tunnel hole, automatically creating a corresponding emergency treatment work order, assigning the emergency treatment work order to preset treatment personnel, triggering configured linkage control instructions, and simultaneously automatically tracking feedback data of a treatment process, automatically archiving full-process data of the case to a learning library for continuously optimizing a risk diagnosis engine.
4. A method for automatically inspecting potential safety hazards at a construction site of an expressway according to any one of claims 1 to 3, further comprising: Based on the fusion data set, the chronic hazard parameters are dynamically monitored, different hazard level thresholds are set according to occupational health exposure limit standards, the identity information, the real-time position and the accumulated exposure time in a specific hazard environment of each worker are tracked in real time, the individual exposure dose is automatically calculated, when the accumulated exposure dose or time of a certain worker is judged to be close to a preset safety limit, classified warning is automatically pushed to a personal intelligent terminal and a management terminal of a team leader to which the worker belongs, and early warning and evacuation execution conditions are recorded to form a health exposure file.
5. The automatic check method for potential safety hazards at a highway construction site according to claim 4, further comprising: Based on the fusion data set, a vibration dose file is established for operators with systemic vibration or hand-driven vibration in a working environment, the accumulated vibration exposure dose of each operator is calculated in real time according to the vibration dose limit value set by international standards, when the dose is close to the limit value, grading warning is automatically pushed to a personal intelligent terminal and a management terminal of a team leader to which the personnel belong, and early warning and evacuation execution conditions are recorded to form the vibration exposure file.
6. The utility model provides an automatic investigation system of highway job site potential safety hazard which characterized in that includes: The data acquisition module is used for continuously acquiring the original data from various intelligent sensing units, converging the multi-element heterogeneous original data to a unified data receiving platform and completing automatic mapping from the physical world to the digital world; the data processing module is used for automatically executing data cleaning, format standardization, time stamp alignment and space position binding on the original data according to preset rules and algorithms, and associating displacement data, stress data and geological sketch information of the same monitoring area to generate a standardized fusion data set with unified space-time coordinates; The hidden danger identification module is used for inputting the fusion data set into the risk diagnosis engine to identify hidden danger, firstly, executing real-time logic judgment based on an explicit rule, automatically comparing real-time data with a preset safety threshold value to obtain a first analysis result, secondly, carrying out association analysis based on a multi-parameter model, and calculating the coupling relation and the change trend of a plurality of key parameters by calling a built-in special engineering model to obtain a second analysis result; And the analysis result fusion judging module is used for automatically fusing the three analysis results to finally generate a structured early warning instruction containing hidden danger types, levels, positions and confidence degrees.
7. The automatic check system for potential safety hazards in a highway construction site according to claim 6, wherein the analysis result fusion judging module comprises: The reference weight adjusting unit is used for judging the specific environment state of the current tunnel construction, and distributing an initial decision influence reference weight to the three analysis engines according to strategies preset by different environment states, wherein the decision influence reference weight defines which type of analysis logic is more dependent under the current environment; the confidence coefficient calculating unit is used for quantitatively evaluating the reliability of each analysis result after the preliminary risk judgment of each analysis engine is obtained, and calculating a dynamic confidence coefficient score for each analysis result according to the evaluation basis including the quality and the integrity of the data used for generating the analysis result, the certainty of the analysis process and the recent early warning accuracy history of the analysis engine; The actual weight adjusting unit is used for dynamically adjusting the actual weight of each analysis result in a final decision based on the confidence score of each analysis result, then obtaining a comprehensive risk value through weighted fusion, further generating a structured early warning instruction containing hidden danger types, grades, positions and confidence degrees, and executing a set of hierarchical decision logic in the process, wherein if any analysis engine triggers the highest-level safe red line, the highest-level alarm is directly triggered and the weighted fusion is skipped, if the comprehensive risk value exceeds a preset first risk threshold, and the conclusion of most analysis engines indicates high risk or more, clear early warning is sent, and if the comprehensive risk value exceeds the preset first risk threshold, but indicates that the analysis engines of the high risk or more levels do not exceed half, the reinforced monitoring instruction is generated and pushed instead of the direct alarm so as to avoid false alarm.
8. The automatic check-up system for potential safety hazards at a highway construction site according to claim 6, further comprising: The multi-path response and management module is used for automatically executing multi-path response and closed-loop management based on the generated structured early warning instruction, pushing early warning information to terminal equipment of related responsible personnel, synchronously activating an audible and visual alarm device in a tunnel hole, automatically creating a corresponding emergency treatment work order, assigning the emergency treatment work order to preset treatment personnel and triggering configured linkage control instructions, and simultaneously automatically tracking feedback data of a treatment process, and automatically archiving full-process data of the case to a learning library for continuously optimizing a risk diagnosis engine.
9. The automatic check-up system for potential safety hazards at a construction site of an expressway according to any one of claims 6 to 8, further comprising: The health exposure early warning module is used for dynamically monitoring chronic hazard parameters based on a fusion data set, setting different hazard level thresholds according to occupational health exposure limit standards, tracking identity information, real-time positions and accumulated exposure time in a specific hazard environment of each worker in real time, automatically calculating individual exposure doses, automatically pushing classified warning to a personal intelligent terminal and a management terminal of a affiliated team leader when the accumulated exposure dose or time of a certain worker is judged to be close to a preset safety limit, and recording early warning and evacuation execution conditions to form a health exposure file.
10. The automatic check-up system for potential safety hazards at a construction site of an expressway according to claim 9, further comprising: The vibration exposure early warning module is used for establishing a vibration dose file for operators with whole body vibration or hand-driven vibration in a working environment based on the fusion data set, calculating the accumulated vibration exposure dose of each operator in real time according to the vibration dose limit value set by the international standard, pushing the classified warning to the personal intelligent terminal and the management terminal of the team leader when the dose is close to the limit value, and recording early warning and evacuation execution conditions to form the vibration exposure file.

Description

Automatic checking method and system for potential safety hazards of expressway construction site Technical Field The invention belongs to the field of data processing, and particularly relates to an automatic checking method and system for potential safety hazards of a highway construction site. Background In current highway tunnel construction, there are complex geological environments such as surrounding rock instability, water burst mud burst, and harmful gases. Surrounding rock instability, namely, a tunnel faces uncertain geological conditions such as faults, broken zones, weak surrounding rock and the like in excavation, instantaneous surrounding rock collapse or large deformation can occur, water burst mud, namely, high-pressure water burst and mud sand burst can be suddenly encountered when the tunnel passes through water-rich stratum, karst area or faults, equipment and personnel are submerged, and harmful gas, namely, the tunnel (particularly coal-based stratum or oil-gas area) can accumulate combustible or toxic gas such as methane (gas), hydrogen sulfide and the like to cause explosion or poisoning. In the face of complex geological environments, the traditional potential safety hazard investigation mode has obvious untimely performance. The hysteresis mainly comprises three aspects, namely, relying on manual inspection, taking the inspection frequency as a unit of days or even weeks, being incapable of capturing and grasping instantaneous change of surrounding rock in front of the face or sudden increase of gas concentration, almost synchronizing early warning and dangerous situations, dispersing data such as information island seriously, geological forecast, monitoring measurement, gas detection and the like in different groups, relying on manual recording and transmission, having long comprehensive analysis and judgment time, always missing an optimal treatment window, and thirdly, taking layer by layer to report and meeting judgment after potential hazards are discovered, then giving treatment instructions, wherein the procedural delay often causes small problems to evolve into big accidents under the dynamically-changed tunnel geological conditions. In essence, the method is a post-hoc reactive management mode, advanced and active management and control of geological risks with strong concealment and high burstiness cannot be realized, and improvement is needed. Disclosure of Invention Based on the above, it is necessary to provide a method and a system for automatically checking the potential safety hazard of the expressway construction site. The embodiment of the invention is realized in such a way that the automatic checking method of the potential safety hazard of the expressway construction site comprises the following steps: Continuously collecting original data from various intelligent sensing units (such as a displacement meter, an osmometer, a gas sensor and a geological forecast system), converging the original data of multiple isomers (such as surrounding rock stress, convergence displacement, water inflow, harmful gas concentration, geological radar waveform and the like) to a unified data receiving platform, and completing automatic mapping from the physical world to the digital world; According to preset rules and algorithms, automatically performing data cleaning (abnormal value removal), format standardization, time stamp alignment and space position binding on the original data, and associating displacement data, stress data and geological sketch information of the same monitoring area (such as a section) to generate a standardized fusion data set with uniform space-time coordinates; Inputting the fusion data set into a risk diagnosis engine to identify hidden danger, firstly, executing real-time logic (namely a first analysis engine) judgment based on a definite rule, automatically comparing real-time data with a preset safety threshold (for example, immediately triggering surrounding rock deformation acceleration early warning if the vault sinking rate and the horizontal convergence rate are continuously exceeded simultaneously) to obtain a first analysis result, secondly, carrying out association analysis based on a multi-parameter model (namely a second analysis engine), calculating the coupling relation and the change trend of a plurality of key parameters (for example, comprehensively leading geological forecast waveform abnormality, drilling water pressure sudden rise and displacement softening trend) by calling a built-in special engineering model (for example, a surrounding rock stability grading model), automatically calculating and judging the water and mud bursting risk level, and obtaining a second analysis result; And automatically fusing the three analysis results to finally generate a structured early warning instruction containing hidden danger types, levels, positions and confidence degrees. In one embodiment, the invention provides an automatic checking