Bridge construction safety protection early warning method and system
By setting up multi-source data acquisition modules and data processing and analysis modules at the bridge construction site, and using machine learning algorithms to conduct risk assessment and early warning generation, the problem of real-time monitoring of construction environment and structural status in the existing technology is solved, and the monitoring and early warning capabilities of construction safety are improved.
Patent Information
- Application Number
- CN202411902123.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-23
- Publication Date
- 2025-05-09
AI Technical Summary
The existing technology cannot monitor the construction environment and structural status in real time during bridge construction, resulting in difficult to ensure construction safety and insufficient early warning capabilities.
A multi-source data acquisition module is adopted, including environmental monitoring equipment, meteorological sensors, video monitoring equipment and structural health monitoring sensors, to conduct comprehensive data acquisition, and risk assessment and early warning generation is used through data processing and analysis modules.
It improves the comprehensiveness of data collection and prediction accuracy, enhances the safety monitoring and early warning capabilities of bridge construction, and ensures real-time monitoring of the construction environment and structural status.
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Figure CN119964316A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of construction safety, and in particular relates to a bridge construction safety protection early warning method and system. Background Art
[0002] At present, many dedicated equipment and special equipment such as mobile formwork, hanging basket and bridge-building crane are used in bridge construction. Production safety accidents with mass casualties are prone to occur during construction. Therefore, in order to ensure construction safety, it is necessary to conduct safety monitoring of bridge construction equipment.
[0003] In the prior art, the environmental safety in the construction area of the rail bridge cannot be monitored during the construction process, so that it is impossible to strictly ensure that the construction environment meets the construction conditions. In addition, it is impossible to judge whether the structure of the rail bridge is normal in real time during the construction process, so that the safety of the rail bridge construction cannot be guaranteed. For this reason, Chinese patent CN116721530B discloses a safety warning analysis system suitable for rail bridge structure construction monitoring, which relates to the technical field of construction monitoring safety warning, and solves the technical problem that it is impossible to judge whether the structure of the rail bridge is normal in real time during the construction process, so that the safety of the rail bridge construction cannot be guaranteed. In the rail bridge structure construction scenario, the real-time construction environment is monitored by the pre-construction safety monitoring module before the rail bridge is constructed, thereby improving the quality of the rail bridge construction environment, and after completing the construction environment monitoring, the real-time construction is monitored by the structural construction safety monitoring module, and the construction safety assessment module is used to assess the construction safety of the current rail bridge during the real-time construction process, and whether to continue the construction is inferred according to the construction safety assessment module; it is judged whether the structure of the rail bridge is normal during the construction process, thereby avoiding the impact of the construction on the structure of the rail bridge itself;
[0004] However, in the above scheme, the stress points in the rail bridge structure during construction in the construction area are used as the power application points, and the vibration frequency of the area corresponding to the frame structure after the power application points in the response test area are stressed is collected. However, it can only judge the construction safety risk through mechanical data, and therefore can only predict the construction risks related to the bridge structure. The ability to predict construction risks in other aspects is low, and the early warning capability is insufficient. Therefore, a bridge construction safety protection early warning method and system with comprehensive data collection and good early warning capability is needed. Summary of the invention
[0005] In order to solve the above problems existing in the prior art, the present invention provides a bridge construction safety protection early warning method and system, which has the characteristics of comprehensive data collection and good early warning capability.
[0006] The purpose of the present invention can be achieved through the following technical solutions:
[0007] A bridge construction safety protection early warning method comprises the following steps:
[0008] Step 1: Data collection, setting up a multi-source data collection module. The multi-source data collection module includes environmental monitoring equipment, meteorological sensors and video monitoring equipment installed on the bridge safety guardrail, as well as structural health monitoring sensors located inside the bridge structure. The multi-source data collection module is used to collect relevant information on on-site safety protection and early warning;
[0009] Step 2: Data processing and analysis, obtaining the first data transmitted by the multi-source data acquisition module, and generating second data after classifying and processing the first data to determine the on-site risk situation;
[0010] Step 3: Early warning and emergency response. After receiving the second data generated by data processing and analysis, the second data is forecasted and displayed to the construction site safety management personnel in the form of safety decision plans, early warning alarms and SMS notifications.
[0011] As a preferred technical solution of the present invention, the step 1 includes the following sub-steps:
[0012] (1): Acquisition of meteorological information: Acquisition of meteorological data for real-time monitoring of the construction site, including wind speed information, wind direction information, temperature information, humidity information, and daily rainfall information, and upload of such data;
[0013] (2) Structural health monitoring information acquisition: obtaining the strain force of key structural parts of the bridge, the acceleration during the rotation of the continuous beam, and the displacement information during the bridge construction process, and uploading the strain force, acceleration, and displacement information;
[0014] (3): Video surveillance information acquisition: obtain on-site personnel information and equipment operation information and upload it;
[0015] (4): Acquisition of geological disaster information: Obtain terrain change information and potential geological disaster risk information in the construction area and upload it.
[0016] As a preferred technical solution of the present invention, the step 2 includes the following sub-steps:
[0017] (1): Data preprocessing: Clean, normalize and calibrate the collected data to ensure data quality;
[0018] (2): Data fusion: Fusion of data from different sources to form a complete description of the construction safety status;
[0019] (3): Risk assessment: Use machine learning algorithms to analyze historical data, establish a risk assessment model, and evaluate the current construction safety status;
[0020] (4): Warning generation: When the monitoring data exceeds the preset threshold, the system automatically generates warning information and notifies the construction management personnel by sending communications.
[0021] As a preferred technical solution of the present invention, the step three includes the following sub-steps:
[0022] (1): Warning release: Issue warning information to construction site personnel through text messages, sirens and LED display screens;
[0023] (2): Emergency plan activation: According to the warning level and type, the corresponding emergency plan is automatically triggered to guide on-site personnel to respond to the emergency;
[0024] (3): Emergency resource dispatch: The system automatically dispatches emergency resources, including rescue teams, equipment and supplies, according to the emergency plan.
[0025] The present invention also discloses a bridge construction safety protection early warning system, which is applicable to the above-mentioned bridge construction safety protection early warning method, including a multi-source data acquisition module, a data processing and analysis module and an early warning and emergency response module. The data processing and analysis module is used to receive the first data transmitted by the multi-source data acquisition module, and generate the second data according to the first data and then pass it to the early warning and emergency response module.
[0026] As a preferred technical solution of the present invention, the multi-source data acquisition module includes: environmental monitoring equipment, meteorological sensors, video monitoring equipment and structural health monitoring sensors. The environmental monitoring equipment, meteorological sensors and video monitoring equipment are arranged on the bridge safety guardrail, and the structural health monitoring sensor is arranged inside the bridge structure.
[0027] As a preferred technical solution of the present invention, the early warning and emergency response module is used to receive the second data generated by the data processing and analysis module, and forecast and display the second data to the construction site safety management personnel in the form of safety decision plans, early warning alarms and SMS notifications.
[0028] The beneficial effects of the present invention are:
[0029] (1) By setting up a multi-source data acquisition module including environmental monitoring equipment, meteorological sensors and video monitoring equipment, as well as structural health monitoring sensors located inside the bridge structure, alarms can be generated based on meteorological information, structural health monitoring information, video monitoring information and geological disaster information, thereby improving the comprehensiveness of data collection and the accuracy of prediction;
[0030] (2) By using machine learning algorithms to analyze historical data and establish a risk assessment model, the current construction safety status is evaluated, and the evaluation results are positively correlated with meteorological information, structural health monitoring information, transmitted environmental risks and geological disaster information, and negatively correlated with video surveillance information, completing the specific generation of results based on a number of collected data. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0032] Figure 1 It is a schematic diagram of the early warning system of the present invention;
[0033] Figure 2 It is a structural schematic diagram of the bridge safety guardrail of the present invention;
[0034] Figure 3 It is a schematic diagram of the top view structure of the bridge safety guardrail of the present invention;
[0035] Description of main component symbols:
[0036] In the figure: 1. bridge safety guardrail; 11. mounting base; 111. transverse mounting seat; 112. longitudinal mounting seat; 12. support column; 13. guardrail structure; 14. transverse support rod. DETAILED DESCRIPTION
[0037] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.
[0038] See also Figure 1-3 , a bridge construction safety protection early warning method, comprising the following steps:
[0039] Step 1: Data collection, setting up a multi-source data collection module, which includes environmental monitoring equipment, meteorological sensors and video monitoring equipment installed on the bridge safety guardrail 1, and a structural health monitoring sensor located inside the bridge structure. The multi-source data collection module is used to collect relevant information on on-site safety protection and early warning;
[0040] Step 2: Data processing and analysis, obtaining the first data transmitted by the multi-source data acquisition module, and generating second data after classifying and processing the first data to determine the on-site risk situation;
[0041] Step 3: Early warning and emergency response, after receiving the second data generated by data processing and analysis, the second data is forecasted and displayed to the construction site safety management personnel in the form of safety decision-making plans, early warning alarms and SMS notifications;
[0042] Specifically, for data processing and analysis, at least one data processing and analysis module is included for receiving data and analyzing data;
[0043] For early warning and emergency response, at least an early warning and emergency response module is included to receive data from the data processing and analysis module and generate corresponding alarms;
[0044] By setting up a multi-source data acquisition module including environmental monitoring equipment, meteorological sensors and video surveillance equipment, as well as structural health monitoring sensors located inside the bridge structure, alarms can be generated based on meteorological information, structural health monitoring information, video surveillance information and geological disaster information, improving the comprehensiveness of data collection and prediction accuracy:
[0045] Specifically, for step 1, data collection also includes the following sub-steps:
[0046] 1: Acquisition of meteorological information: Acquisition of meteorological data for real-time monitoring of the construction site, including wind speed information, wind direction information, temperature information, humidity information and daily rainfall information, and upload;
[0047] 2: Structural health monitoring information acquisition, obtain the strain force of key structural parts of the bridge, the acceleration during the rotation of the continuous beam and the displacement information during the bridge construction process, and upload the strain force, acceleration and displacement information;
[0048] 3: Video surveillance information acquisition: obtain on-site personnel information and equipment operation information and upload them;
[0049] 4: Acquisition of geological disaster information: Obtain terrain change information and potential geological disaster risk information in the construction area and upload it.
[0050] In this scheme, meteorological information is mainly obtained by downloading the weather forecast of the day, extracting wind speed information, wind direction information, temperature information and humidity information, and setting up temperature sensors, wind speed sensors and humidity sensors on site to obtain wind speed information, wind direction information, temperature information and humidity information, and then uploading the downloaded data and the obtained data to the control module;
[0051] For the acquisition of structural health monitoring information, strain sensors are installed in the bridge structure to obtain the strain of key structural parts of the bridge, and acceleration sensors are installed in the corresponding structure to obtain the acceleration during the rotation of the continuous beam and the displacement information during the bridge construction process;
[0052] For video surveillance information acquisition, several cameras are set up to cover various locations on the construction site, shoot the construction site, and then upload the video to the control module
[0053] Specifically, for step 2, data processing and analysis also includes the following sub-steps:
[0054] 1: Data preprocessing: clean, normalize and calibrate the collected data to ensure data quality;
[0055] 2: Data fusion: Fusion of data from different sources to form a complete description of the construction safety status;
[0056] 3: Risk assessment: Use machine learning algorithms to analyze historical data, establish risk assessment models, and evaluate the current construction safety status;
[0057] 4: Warning generation: When the monitoring data exceeds the preset threshold, the system automatically generates warning information and notifies the construction management personnel by sending a communication;
[0058] After receiving the data, the data processing and analysis module performs data preprocessing, cleans, integrates and analyzes the collected data, and then performs data fusion
[0059] In this embodiment, data fusion includes quantifying data into meteorological risk, structural health risk, environmental risk and geological disaster risk according to meteorological information, structural health monitoring information, and transmitted environmental risk and geological disaster information, recorded as risk data, and then quantifying video monitoring information into construction site complexity, recorded as construction site data;
[0060] The greater the meteorological risk, structural health risk, environmental risk and geological disaster risk, the higher the level and urgency of the alarm that needs to be issued. The greater the complexity of the construction site, the worse the ability to withstand disasters, and the higher the level and urgency of the alarm that needs to be issued.
[0061] Therefore, in the subsequent risk assessment process, the assessment results are positively correlated with meteorological information, structural health monitoring information, transmitted environmental risks and geological disaster information, and negatively correlated with video surveillance information, so that the higher the meteorological information, structural health monitoring information, transmitted environmental risks and geological disaster information, the greater the risk value, and the greater the complexity of the video surveillance information display, the greater the risk value;
[0062] After the evaluation is completed, the results are sent to the early warning and emergency response module. Early warning generation: When the monitoring data exceeds the preset threshold, the system automatically generates early warning information and notifies the construction management personnel by sending a communication;
[0063] By using machine learning algorithms to analyze historical data, a risk assessment model is established to evaluate the current construction safety status. The assessment results are positively correlated with meteorological information, structural health monitoring information, transmitted environmental risks and geological disaster information, and negatively correlated with video surveillance information, thus completing the specific generation of results based on a number of collected data.
[0064] Specifically, for step 3, data collection also includes the following sub-steps:
[0065] 1: Early warning release: Issue early warning information to construction site personnel through text messages, sirens and LED display screens;
[0066] 2: Emergency plan activation: According to the warning level and type, the corresponding emergency plan is automatically triggered to guide on-site personnel to respond to the emergency;
[0067] 3: Emergency resource dispatch: The system automatically dispatches emergency resources, including rescue teams, equipment and supplies, according to the emergency plan;
[0068] In the present invention, the early warning and emergency response module is pre-input with several plans, including disaster risk assessment, rescue plan assessment, etc. Each plan corresponds to a different risk value. When the early warning and emergency response module receives information from the data processing and analysis module, it generates an emergency plan.
[0069] The present invention also discloses a bridge construction safety protection early warning system, which is applicable to the above-mentioned bridge construction safety protection early warning method, and is characterized in that it includes a multi-source data acquisition module, a data processing and analysis module, and an early warning and emergency response module. The data processing and analysis module is used to receive the first data transmitted by the multi-source data acquisition module, and generate the second data according to the first data and then pass it to the early warning and emergency response module.
[0070] Specifically, the multi-source data acquisition module includes: environmental monitoring equipment, meteorological sensors, video monitoring equipment and structural health monitoring sensors. The environmental monitoring equipment, meteorological sensors and video monitoring equipment are arranged on the bridge safety guardrail 1, and the structural health monitoring sensor is arranged inside the bridge structure.
[0071] The early warning and emergency response module is used to receive the second data generated by the data processing and analysis module, and forecast and display the second data to the construction site safety management personnel in the form of safety decision-making plans, early warning alarms and SMS notifications.
[0072] Meanwhile, for the bridge safety guardrail 1, the bridge safety guardrail 1 comprises: a mounting base 11, a support column 12, a guardrail structure 13 and a transverse support rod 14;
[0073] The mounting base 11 includes: a transverse mounting seat 111 and a longitudinal mounting seat 112. The number of the transverse mounting seats 111 is multiple, and the transverse mounting seats 111 are evenly distributed on both sides of the longitudinal mounting seat 112. The side view of the transverse mounting seat 111 is L-shaped, one side of the L-shape is fixedly connected to the longitudinal mounting seat 112, and the other side of the transverse mounting seat 111 is fixedly connected to the support plane of the safety guardrail;
[0074] The longitudinal mounting seat 112 is in the shape of a strip structure, and has a groove. Both sides of the strip structure are fixedly connected to the transverse mounting seat 111, respectively, and the bottom of the groove in the longitudinal mounting seat 112 is fixedly connected to the support plane.
[0075] The support column 12 and the guardrail structure 13 are fixedly connected to the longitudinal mounting seat 112 in the groove of the longitudinal mounting seat 112;
[0076] The support column 12 has a plurality of evenly distributed first elastic connectors, and the guardrail structure 13 has a plurality of elastic connecting strips matched with the plurality of evenly distributed first elastic connectors, and the plurality of elastic connecting strips are fixedly connected to the elastic connectors.
[0077] At both ends of the support column 12, a transverse support rod 14 is fixedly connected to the support column 12. The extension direction of the transverse support rod 14 is parallel to the longitudinal mounting seat 112. The transverse support rod 14 has a second elastic connector that matches the above-mentioned multiple elastic connecting strips.
[0078] The transverse support rod 14 has a plurality of hollow structures, and monitoring equipment is provided inside the hollow structures. The monitoring equipment faces the side where personnel are distributed at the construction site, and the side of the hollow structure facing the side where personnel are distributed at the construction site has monitoring holes.
[0079] The transverse support rod 14 has a plurality of bearing grooves. A bridge construction safety guardrail further includes: an alarm device, which is located in the bearing groove and is electrically connected to the monitoring device.
[0080] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.
Claims
1. A bridge construction safety protection early warning method, characterized by: The following steps are involved: Step 1: Data collection, setting up a multi-source data collection module. The multi-source data collection module includes environmental monitoring equipment, meteorological sensors and video monitoring equipment installed on the bridge safety guardrail, as well as structural health monitoring sensors located inside the bridge structure. The multi-source data collection module is used to collect relevant information on on-site safety protection and early warning; Step 2: Data processing and analysis, obtaining the first data transmitted by the multi-source data acquisition module, and generating second data after classifying and processing the first data to determine the on-site risk situation; Step 3: Early warning and emergency response. After receiving the second data generated by data processing and analysis, the second data is forecasted and displayed to the construction site safety management personnel in the form of safety decision plans, early warning alarms and SMS notifications.
2. A bridge construction safety protection early warning method according to claim 1, characterized in that: The data collection in step 1 also includes the following sub-steps: (1): Acquisition of meteorological information: Acquisition of meteorological data for real-time monitoring of the construction site, including wind speed information, wind direction information, temperature information, humidity information, and daily rainfall information, and upload of such data; (2) Structural health monitoring information acquisition: obtaining the strain force of key structural parts of the bridge, the acceleration during the rotation of the continuous beam, and the displacement information during the bridge construction process, and uploading the strain force, acceleration, and displacement information; (3): Video surveillance information acquisition: obtain on-site personnel information and equipment operation information and upload it; (4): Acquisition of geological disaster information: Obtain terrain change information and potential geological disaster risk information in the construction area and upload it.
3. A bridge construction safety protection early warning method according to claim 1, characterized in that: The data processing and analysis in step 2 also includes the following sub-steps: (1): Data preprocessing: Clean, normalize and calibrate the collected data to ensure data quality; (2): Data fusion: Fusion of data from different sources to form a complete description of the construction safety status; (3): Risk assessment: Use machine learning algorithms to analyze historical data, establish a risk assessment model, and evaluate the current construction safety status; (4): Warning generation: When the monitoring data exceeds the preset threshold, the system automatically generates warning information and notifies the construction management personnel by sending communications.
4. A bridge construction safety protection early warning method according to claim 1, characterized in that: The early warning and emergency response in step 3 also includes the following sub-steps: (1): Warning release: Issue warning information to construction site personnel through text messages, sirens and LED display screens; (2): Emergency plan activation: According to the warning level and type, the corresponding emergency plan is automatically triggered to guide on-site personnel to respond to the emergency; (3): Emergency resource dispatch: The system automatically dispatches emergency resources, including rescue teams, equipment and supplies, according to the emergency plan.
5. A bridge construction safety protection early warning system, applicable to a bridge construction safety protection early warning method according to any one of claims 1 to 4, characterized in that: It includes a multi-source data acquisition module, a data processing and analysis module, and an early warning and emergency response module. The data processing and analysis module is used to receive the first data transmitted by the multi-source data acquisition module, and generate second data based on the first data and then pass it to the early warning and emergency response module.
6. A bridge construction safety protection early warning system according to claim 5, characterized in that: The multi-source data acquisition module includes: environmental monitoring equipment, meteorological sensors, video monitoring equipment and structural health monitoring sensors. The environmental monitoring equipment, meteorological sensors and video monitoring equipment are arranged on the bridge safety guardrail, and the structural health monitoring sensor is arranged inside the bridge structure.
7. A bridge construction safety protection early warning system according to claim 5, characterized in that: The early warning and emergency response module is used to receive the second data generated by the data processing and analysis module, and forecast and display the second data to the construction site safety management personnel in the form of safety decision-making plans, early warning alarms and SMS notifications.
Citation Information
Patent Citations
A safety early warning analysis system suitable for railway bridge structure construction monitoring
CN116721530B