High formwork safety monitoring and early warning method and system

Abstract

The invention provides a high-formwork safety monitoring and early warning method and system, and relates to the technical field of high-formwork monitoring, and the method comprises the steps: reading a high-formwork special construction scheme of a target project, determining project nodes, carrying out the matching of multi-dimensional risk control indexes, determining the construction supervision index mapped by each subentry project node, and carrying out the early warning of the construction supervision index. Working condition collection, working condition risk degree evaluation and prediction, risk control grade determination, risk control grade determination, risk control early warning information generation based on the risk event type and the risk grade, and warning. The problems that real-time monitoring cannot be achieved through a manual monitoring mode, the working condition risk degree cannot be evaluated, early warning cannot be conducted according to different grades, and monitoring data is inaccurate are mainly solved. The whole construction process is monitored and covered in real time, the early warning response speed and accuracy are improved, and more reliable safety guarantee is provided.

Description

Technical Field

[0001] The present application relates to the technical field of high-rise formwork monitoring, and in particular to a high-rise formwork safety monitoring and early warning method and system. Background Art

[0002] The high formwork safety monitoring and early warning method is a method for safety monitoring and early warning of high formwork support systems in construction projects. The high formwork support system refers to the formwork operation when the formwork height is greater than or equal to 8m, which is widely used in construction projects. However, once the high formwork is damaged during construction, it is chained and rapid, which may cause harm to the safety of people's lives and property. In order to receive danger warnings in time and prevent harm caused by engineering accidents such as high formwork collapse, it is necessary to pay enough attention to the safety monitoring of high formwork. At present, the safety monitoring of high formwork mainly relies on manual monitoring, that is, arranging special personnel to use optical detection instruments to monitor on the periphery of the first floor. However, due to the dense internal rods of the high formwork, it is difficult for external optical instruments to detect; the manual monitoring method cannot achieve real-time monitoring, and the safety monitoring range cannot cover the entire high formwork; there is a certain delay in the three links from construction to data monitoring to emergency measures, and workers in the construction process cannot sense the specific safety situation of the high formwork in time.

[0003] However, in the process of implementing the technical solution of the invention in the embodiment of the present application, it is found that the above technology has at least the following technical problems:

[0004] Manual monitoring methods cannot achieve real-time monitoring, cannot assess the risk level of working conditions and issue early warnings based on different levels, and the monitoring data is inaccurate. Summary of the invention

[0005] This application mainly solves the problems that manual monitoring methods cannot achieve real-time monitoring, cannot assess the degree of risk of working conditions and issue early warnings according to different levels, and the monitoring data is inaccurate.

[0006] In view of the above problems, the present application provides a high-support formwork safety monitoring and early warning method and system. In the first aspect, the present application provides a high-support formwork safety monitoring and early warning method, the method comprising: reading the high-support formwork special construction plan of the target project, and determining the sub-project nodes based on the project risk; for the sub-project nodes, matching multi-dimensional risk control indicators, and determining the construction supervision indicators mapped to each sub-project node, wherein each construction supervision indicator is marked with a benchmark characteristic value; taking the construction supervision indicator as a benchmark, combined with the distributed sensors deployed in the construction area, actual construction condition monitoring and collection are performed to determine the sensor monitoring data; the sensor monitoring data is fed back to the risk control analysis module to assess and predict the degree of risk of the working condition and determine the node risk control level, the risk control analysis module is embedded with the construction supervision indicator; it is determined whether the node risk control level meets the risk control threshold standard; if not, based on the risk event type and risk level, risk control early warning information is generated and an alarm is issued.

[0007] In the second aspect, the present application provides a high-support formwork safety monitoring and early warning system, the system comprising: an engineering node determination module, the engineering node determination module is used to read the high-support formwork special construction plan of the target project, and determine the sub-project nodes based on the project risk; a risk control indicator matching module, the risk control indicator matching module is used to match multi-dimensional risk control indicators for the sub-project nodes, and determine the construction supervision indicators mapped to each sub-project node, wherein each construction supervision indicator is marked with a benchmark characteristic value; a monitoring data determination module, the monitoring data determination module is used to use the construction supervision indicators as a benchmark, combined with the construction area layout The distributed sensors are used to monitor and collect the actual construction conditions and determine the sensor monitoring data; a risk control level acquisition module is used to feed back the sensor monitoring data to the risk control analysis module to evaluate and predict the risk level of the working conditions and determine the node risk control level. The risk control analysis module is embedded with the construction supervision index; a threshold judgment module is used to determine whether the node risk control level meets the risk control threshold standard; an early warning information generation module is used to judge the level information. If it does not meet the standard, the risk control early warning information is generated and an alarm is given based on the risk event type and risk level.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] The present application provides a high-scaffolding safety monitoring and early warning method and system, which relates to the field of high-scaffolding monitoring technology. The method includes: reading the high-scaffolding special construction plan of the target project, determining the project nodes, matching multi-dimensional risk control indicators to determine the construction supervision indicators mapped to each sub-project node, combining distributed sensors to collect working condition data, assessing and predicting the degree of working condition risk, determining the risk control level, judging whether the risk control level meets the threshold standard, and generating risk control early warning information and issuing warnings based on the risk event type and risk level.

[0010] This application mainly solves the problems that manual monitoring methods cannot achieve real-time monitoring, cannot assess the risk level of working conditions and issue early warnings according to different levels, and the monitoring data is inaccurate. Real-time monitoring covers the entire construction process, improves the speed and accuracy of early warning response, and provides more reliable safety protection.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0013] Figure 1 A schematic diagram of a high-rise formwork safety monitoring and early warning method flow chart is provided for an embodiment of the present application;

[0014] Figure 2 A schematic flow chart of a method for determining sub-project nodes in a high-rise formwork safety monitoring and early warning method is provided for an embodiment of the present application;

[0015] Figure 3 A schematic flow chart of a method for sequential integration in a high-support formwork safety monitoring and early warning method is provided for an embodiment of the present application;

[0016] Figure 4 A structural schematic diagram of a high-support formwork safety monitoring and early warning system is provided for an embodiment of the present application.

[0017] Explanation of the accompanying drawings: engineering node determination module 10, risk control indicator matching module 20, monitoring data determination module 30, risk control level acquisition module 40, threshold judgment module 50, warning information generation module 60. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] This application mainly solves the problems that manual monitoring methods cannot achieve real-time monitoring, cannot assess the risk level of working conditions and issue early warnings according to different levels, and the monitoring data is inaccurate. Real-time monitoring covers the entire construction process, improves the speed and accuracy of early warning response, and provides more reliable safety protection.

[0020] In order to better understand the above technical solution, the above solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods:

[0021] Embodiment 1

[0022] like Figure 1 A high-rise formwork safety monitoring and early warning method is shown, the method comprising:

[0023] Read the special high-support formwork construction plan for the target project and determine the sub-project nodes based on the project risk;

[0024] Specifically, to read the high-formwork special construction plan of the target project and determine the sub-project nodes based on the project risk, first, it is necessary to obtain the high-formwork special construction plan of the target project, which is usually prepared by the construction unit or design unit, including detailed information on the project construction plan, construction methods, construction materials, construction equipment, etc. Analyze the risk of the construction plan: After obtaining the high-formwork special construction plan, it is necessary to analyze the plan in detail to identify the risk factors. These risk factors may include the difficulty of construction technology, the quality of construction materials, the reliability of construction equipment, the impact of the construction environment, etc. Determine the sub-project nodes: According to the analyzed risk factors, it is necessary to classify and screen the sub-project nodes in the high-formwork special construction plan to determine which nodes are key nodes with higher risks. These key nodes usually include the erection and removal of the support system, the installation and removal of the formwork, the pouring and maintenance of concrete, etc. Through the above steps, the high-formwork special construction plan of the target project can be read, and the sub-project nodes based on the project risk can be determined, which provides a guarantee for the safety and stability of the high-formwork construction process.

[0025] For the sub-project nodes, matching of multi-dimensional risk control indicators is performed to determine the construction supervision indicators mapped to each sub-project node, wherein each construction supervision indicator is marked with a benchmark characteristic value;

[0026] Specifically, for the sub-project nodes, multi-dimensional risk control indicators are matched to determine the construction supervision indicators mapped to each sub-project node, wherein each construction supervision indicator is marked with a benchmark characteristic value, and according to the characteristics of each sub-project node, analysis and evaluation are performed from multiple dimensions to determine the corresponding risk control indicators. These risk control indicators may include construction technology, material quality, equipment reliability, environmental impact, personnel operation and other aspects. Matching risk control indicators: Match the risk control indicators of each sub-project node with the preset risk control model, and determine the corresponding construction supervision indicators according to the matching results. These construction supervision indicators can be a quantitative evaluation of risk control indicators or a classified evaluation of risk control indicators. Determine the benchmark characteristic value: For each determined construction supervision indicator, the corresponding benchmark characteristic value needs to be determined. These benchmark characteristic values ​​can be industry standard values, experience values ​​or values ​​evaluated by experts. These benchmark characteristic values ​​are used to identify the status of the construction supervision indicators, such as normal, warning, abnormal, etc. Mapping construction supervision indicators: According to the matching results and the benchmark characteristic values, each sub-project node is mapped to the corresponding construction supervision indicator. These construction supervision indicators can be one or more, which are used to indicate the risk status of the sub-project node and the measures to be taken. Through the above steps, multi-dimensional risk control indicators can be matched for each sub-project node, and the mapped construction supervision indicators can be determined, and the corresponding benchmark characteristic values ​​can be marked. In this way, effective risk control and safety management can be carried out on the high-support formwork construction process to ensure the smooth progress and quality safety of the project.

[0027] Based on the construction supervision index, combined with the distributed sensors deployed in the construction area, actual construction conditions are monitored and collected to determine sensor monitoring data;

[0028] Specifically, based on the construction supervision index, combined with the distributed sensors deployed in the construction area, the actual construction working condition monitoring and collection are carried out to determine the sensor monitoring data, and the distributed sensors are deployed: distributed sensors are arranged in the construction area to monitor the working condition data in the actual construction process. These sensors may include displacement sensors, force sensors, temperature sensors, humidity sensors, etc., which are used to monitor the state of the support system, the deformation of the template, the temperature and humidity of the concrete and other parameters. Connect the sensor to the data acquisition system: connect the distributed sensor to the data acquisition system to ensure that the data collected by the sensor can be transmitted to the data acquisition system in real time. The data acquisition system can process and analyze the received data to extract useful monitoring data. Determine the sensor monitoring data: According to the monitored working condition data, combined with the construction supervision index, the corresponding sensor monitoring data can be determined. These data may include parameters such as the displacement of the support system, the deformation of the template, the temperature and humidity of the concrete, etc., which are used to evaluate the status and risks in the actual construction process. Analyze the sensor monitoring data: Real-time analysis and evaluation of the determined sensor monitoring data, compared with the preset construction supervision index, timely detection of abnormal conditions and issuance of early warning signals. The analysis results can be used to guide the construction unit to take corresponding adjustment measures to ensure the safety and quality of the construction process. Through the above steps, the construction supervision indicators can be used as a benchmark, combined with the distributed sensors deployed in the construction area, to monitor and collect the actual construction conditions and determine the corresponding sensor monitoring data. These data can be used to evaluate the status and risks in the actual construction process, guide the construction unit to take corresponding adjustment measures, and ensure the safety and quality of the construction process.

[0029] Feeding back the sensor monitoring data to the risk control analysis module to evaluate and predict the degree of working condition risk and determine the node risk control level. The risk control analysis module is embedded with the construction supervision indicators;

[0030] Specifically, the determined sensor monitoring data is fed back to the risk control analysis module to provide real-time data support for risk control analysis. Conduct risk assessment of working conditions: The risk control analysis module evaluates and assesses the risk level of the actual construction working conditions based on the sensor monitoring data and the embedded construction supervision indicators. Conduct risk prediction: Based on the current sensor monitoring data and historical data, the risk control analysis module can use data analysis methods and prediction models to predict the future construction working condition risks and provide early warning and response measures for the construction unit. Determine the node risk control level: Based on the risk assessment of the working condition and the risk prediction results, the risk control analysis module can determine the corresponding risk control level for each sub-project node. These levels can be divided into different levels from low to high according to the risk level, such as safety, warning, danger, etc. Through the above steps, the sensor monitoring data can be fed back to the risk control analysis module to assess and predict the working condition risk level, determine the node risk control level, and provide corresponding risk control measures for the construction unit. In this way, comprehensive risk control and safety management can be carried out on the high-support formwork construction process to ensure the smooth progress and quality safety of the project.

[0031] Determining whether the risk control level of the node meets the risk control threshold standard;

[0032] Specifically, the risk control threshold of each sub-project node can be determined according to industry specifications, engineering requirements or experience values. These thresholds can be quantitative assessment criteria for risk control levels, or assessment criteria for risk control level classification. Compare node risk control levels with risk control thresholds: Compare the determined risk control level with the corresponding risk control threshold to determine whether the node risk control level meets the risk control threshold standard. Analyze and determine the results: Based on the comparison results, it is possible to analyze whether the node risk control level meets the risk control threshold standard. If the threshold standard is met, normal construction can continue; if the threshold standard is not met, corresponding adjustment measures need to be taken to reduce risks and ensure the safety and quality of the construction process. Through the above steps, it can be determined whether the node risk control level meets the risk control threshold standard, and corresponding adjustment measures can be taken according to the determination results to ensure the safety and quality of the high-support formwork construction process.

[0033] If not met, risk control warning information will be generated and an alarm will be given based on the risk event type and risk level.

[0034] Specifically, if the node risk control level does not meet the risk control threshold standard, the corresponding risk control warning information can be generated and an alarm can be issued based on the risk event type and risk level. Determine the risk event type: According to the specific situation that the node risk control level does not meet the risk control threshold standard, the type of risk event that exists can be determined. These risk event types may include instability of the support system, excessive deformation of the formwork, too high or too low concrete temperature, etc. Determine the risk level: According to the comparison result between the node risk control level and the risk control threshold, the level of the corresponding risk event can be determined. The risk level can be divided into different levels from low to high according to the risk degree, such as first-level warning, second-level warning, third-level warning, etc. Generate risk control warning information: According to the determined risk event type and risk level, the corresponding risk control warning information can be generated. These warning information may include the type, level, possible impact range and recommended measures of the risk event. Alarm and notification: The generated risk control warning information is issued to remind relevant personnel to pay attention and take countermeasures. The alarm method may include sound prompts, light prompts, SMS notifications, email notifications, etc. At the same time, the early warning information can be promptly notified to the relevant construction units, management personnel and responsible persons so that they can quickly take countermeasures to ensure the safety and quality of the construction process. Take countermeasures: According to the generated risk control early warning information and warning results, relevant personnel need to take corresponding countermeasures to reduce risks. These measures may include reinforcement of the support system, adjustment of the formwork, cooling or insulation of the concrete, etc. After taking countermeasures, it is necessary to re-collect and analyze the sensor monitoring data to ensure the safety and quality of the construction process. Through the above steps, the corresponding risk control early warning information can be generated and warned based on the risk event type and risk level, so that relevant personnel can take countermeasures in time to ensure the safety and quality of the high-support formwork construction process.

[0035] Furthermore, if Figure 2 As shown, the present application method determines the sub-project nodes based on the project risk, and the method includes:

[0036] Using the target project as an index, a big data search is performed to determine homologous project data;

[0037] Identify the homologous engineering data and perform frequent item mining to determine common risk engineering nodes;

[0038] Determine the environmental factors of the target project, analyze the potential risk project nodes with engineering risks in combination with the high-support formwork special construction plan, and the environmental factors at least include construction terrain and soil quality information;

[0039] The sub-project nodes are determined by combining the conventional risk project nodes with the potential risk project nodes.

[0040] Specifically, the target project is used as an index to perform big data retrieval to determine homologous project data and determine the target project: the high-support formwork construction project that needs to be evaluated can be used as the target project. Perform big data retrieval: retrieve homologous project data related to the target project through a search engine, database or other data retrieval tool, using the target project as an index. These data can come from the design plan, construction records, monitoring data, etc. of similar projects. Data screening and processing: screen and process the retrieved homologous project data, remove abnormal data, erroneous data or irrelevant data, and retain data similar to the target project or with reference value. Preprocess the screened homologous project data, such as data cleaning and format conversion, to ensure data consistency and availability. Frequent item mining: identify common risk project nodes from homologous project data through frequent item mining algorithms, such as Apriori, FP-Growth, etc. These nodes can be risk factors that have appeared in multiple projects, such as material quality problems, construction process problems, etc. Determination of conventional risk project nodes: According to the results of frequent item mining, conventional risk project nodes can be determined. These nodes are common risk factors that are commonly found in homologous projects, and provide reference and reference for the construction of the target project. Determine the environmental factors of the target project, and analyze the potential risk project nodes with engineering risks in combination with the high-support formwork special construction plan. The environmental factors at least include construction terrain and soil information. Determine the environmental factors: According to the actual situation and construction requirements of the target project, the relevant environmental factors can be determined. These factors include but are not limited to construction terrain, soil information, climate conditions, etc. Obtain environmental factor data: Obtain environmental factor data of the target project through investigation, measurement or other means. These data include but are not limited to topographic information, soil type, geological structure, etc. Analyze potential risk project nodes: Combine the high-support formwork special construction plan and environmental factor data, and analyze the potential risk project nodes with engineering risks. These nodes may be construction difficulties, technical difficulties or other risk factors under specific environments. Combine the conventional risk project nodes with the potential risk project nodes to determine the sub-project nodes, and integrate risk project nodes: Integrate the conventional risk project nodes and the potential risk project nodes to form a comprehensive list of risk project nodes. Determination of sub-project nodes: According to the construction standards and requirements, each node in the risk project node list can be divided into different sub-project nodes. Each sub-project node corresponds to a specific sub-project or sub-project in the target project. Output sub-project nodes: Output the determined sub-project nodes to the relevant units or responsible persons so that they can be focused on and controlled during the high-support formwork construction process. These sub-project nodes can be risk points that require special attention or links that require corresponding measures. Through the above steps, the target project can be used as an index to perform big data retrieval to determine the same source project data, and identify conventional risk project nodes and potential risk project nodes.Finally determine the nodes of sub-projects and provide comprehensive risk assessment and control for the high-support formwork construction process.

[0041] Furthermore, the present application method determines a multi-dimensional risk control indicator, and the method includes:

[0042] Determine the risk control dimensions, wherein the risk control dimensions at least include template quality and support system;

[0043] For the support system, combined with the support point position, the system monitoring index is determined based on the overall load-bearing and single-point concentrated load;

[0044] With respect to the quality of the template, quality monitoring indicators are determined based on the template material strength, surface flatness, and template size;

[0045] Determine the personnel risk indicators for construction scenarios;

[0046] The multi-dimensional risk control indicator is determined by combining the system monitoring indicator, the quality monitoring indicator and the personnel risk indicator.

[0047] Specifically, determine the risk control dimensions, wherein the risk control dimensions at least include the template quality and the support system. Determine the risk control dimensions: According to the characteristics and risk factors of high-support formwork construction, the risk control dimensions including at least the template quality and the support system can be determined. In addition, other dimensions such as material quality, construction technology, environmental factors, etc. can also be included. For the support system: For the risk control indicators of the support system, the corresponding monitoring indicators can be determined based on the overall load-bearing and single-point concentrated load in combination with the support point position. These indicators may include the strength, stability, deformation, etc. of the support system to ensure that the support system can withstand the corresponding load and remain stable during the construction process. For the template quality: For the monitoring indicators of the template quality, the corresponding quality monitoring indicators can be determined based on the template material strength, surface flatness, and template size. These indicators may include the material type, thickness, hardness, etc. of the template, as well as the flatness and dimensional deviation of the template surface, to ensure that the template can meet the construction accuracy and quality requirements. Determine the personnel risk indicators: When considering the construction scenario, it is also necessary to determine the personnel risk indicators. These indicators may include personnel operating specifications, safety awareness, skill levels, etc., to ensure that construction personnel can comply with specifications, maintain safety awareness and adopt correct operating methods during the construction process. Combined with multi-dimensional risk control indicators: Finally, the system monitoring indicators, the quality monitoring indicators and the personnel risk indicators can be combined to determine multi-dimensional risk control indicators. These indicators may include the stability of the support system, the quality control of the formwork, the safety awareness of the personnel and other aspects to ensure the safety and quality of the high-support formwork construction process. Through the above steps, the risk control dimensions can be determined, including at least risk control indicators such as formwork quality and support system, and the corresponding monitoring indicators can be determined in combination with factors such as the position of the support point, the overall load-bearing and single-point concentrated load, the strength of the formwork material, the surface flatness, and the size of the formwork. At the same time, the personnel risk indicators of the construction scene can also be determined, and these indicators can be combined to determine multi-dimensional risk control indicators to comprehensively evaluate the safety and stability of the high-support formwork construction process.

[0048] Furthermore, if Figure 3 As shown, the present application method determines the construction supervision index mapped to each sub-project node, and the method includes:

[0049] Traversing the sub-project nodes, matching the multi-dimensional risk control indicators based on indicator correlation, and determining multiple node mapping sequences, wherein the node mapping sequences are characterized as node sequence number-risk control indicator;

[0050] Split the special high-support formwork construction plan and determine the construction standards corresponding to each sub-project node;

[0051] For the plurality of node mapping sequences, based on the construction standard, determining a benchmark characteristic value for measuring critical requirements of a working condition;

[0052] The plurality of node mapping sequences are mapped to the benchmark eigenvalues, and sequentially integrated to determine the construction supervision index.

[0053] Specifically, the sub-project nodes are traversed, and the multi-dimensional risk control indicators are matched based on the indicator correlation, and multiple node mapping sequences are determined, wherein the node mapping sequence is characterized as node sequence number-risk control indicator, and the sub-project nodes are traversed: the entire high-support formwork construction process is divided into sub-project nodes, and each node is numbered. Matching based on indicator correlation: for each sub-project node, according to its characteristics and analysis results, the risk control indicators are matched and screened from multiple dimensions to determine the risk control indicators related to it. Determine the node mapping sequence: According to the matching results, multiple node mapping sequences can be determined. Each node mapping sequence consists of a node sequence number and a corresponding risk control indicator, which is used to indicate the risk control status corresponding to the node and the risk factors that need to be paid attention to. Split the high-support formwork special construction plan, determine the construction standards corresponding to each sub-project node, and obtain the high-support formwork special construction plan: obtain the high-support formwork special construction plan from the relevant unit or design department, and understand the construction process and specific requirements of the entire project. Split the construction plan: Split the construction plan according to the sub-project nodes to obtain the construction content and standards of each node. Determine the construction standards of each node: According to the split results, analyze each sub-project node to clarify its corresponding construction standards and requirements. For the multiple node mapping sequences, based on the construction standards, determine the benchmark characteristic value for measuring the critical requirements of the working conditions. Analyze the node mapping sequence: Analyze each node mapping sequence in detail to understand the risk control indicators corresponding to the node and its possible impact on the construction process. Determine the benchmark characteristic value based on the construction standard: According to the construction standards and requirements of each node, combined with the analysis results, the benchmark characteristic value for measuring the critical requirements of the working conditions can be determined. These benchmark characteristic values ​​are used to identify the status of the risk control indicators corresponding to the node, such as normal, warning, abnormal, etc. Map the multiple node mapping sequences with the benchmark characteristic values, perform sequential integration, and determine the construction supervision indicators. Map the node mapping sequence with the benchmark characteristic value: Map and associate each node mapping sequence with the corresponding benchmark characteristic value to ensure that each node has a clear construction supervision indicator. Perform sequential integration: Integrate the construction supervision indicators of all nodes in sequence to form a complete construction supervision indicator system. Determine the construction supervision indicator: According to the integration results, the construction supervision indicator of each sub-project node can be determined. These indicators can be quantitative assessment values, classification assessment levels or other forms of identification, which are used to indicate the risk status of the node and the measures that need to be taken. Through the above steps, comprehensive risk control and management of the high-support formwork construction process can be completed. By traversing the nodes of the sub-projects, matching multi-dimensional risk control indicators and splitting the special high-support formwork construction plan, the construction supervision indicators of each node can be determined, and corresponding measures can be taken to reduce risks and ensure the safety and quality of the construction process.

[0054] Furthermore, the method of the present application performs actual construction condition monitoring and collection to determine sensor monitoring data, and the method includes:

[0055] Based on the distributed sensors, collecting same-frequency sensing data;

[0056] For the same-frequency sensing data, determining a plurality of identification groups mapped to the same monitoring area;

[0057] Based on the multiple identification groups, the same-frequency sensing data is divided to determine multiple groups of sensing data, and the multiple groups of sensing data have a simultaneous sequence;

[0058] The multiple sets of sensor data are integrated to generate the sensor monitoring data.

[0059] Specifically, based on the distributed sensors, the same-frequency sensor data is collected, and the distributed sensors are configured in corresponding positions according to the layout requirements of the construction area to ensure that the same-frequency sensor data can be monitored. Collect sensor data: Start the distributed sensors and start collecting sensor data of the same frequency. These data may include parameters such as displacement, force, temperature, humidity, etc., which are used to evaluate the status and risks in the construction process. Transmit sensor data: The collected same-frequency sensor data is transmitted to the data processing center or the risk control analysis module through the data transmission system for subsequent processing and analysis. For the same-frequency sensor data, multiple identification groups mapped to the same monitoring area are determined, and data preprocessing: The same-frequency sensor data transmitted to the data processing center or the risk control analysis module is preprocessed, such as filtering, denoising, etc., to improve the accuracy and reliability of the data. Determine the identification group: According to the characteristics and distribution of the same-frequency sensor data, multiple identification groups mapped to the same monitoring area can be determined. These identification groups can be subsets divided according to the characteristics of the sensor data, which are used for subsequent data analysis and processing. Based on the multiple identification groups, the same-frequency sensor data is divided to determine multiple groups of sensor data, and the multiple groups of sensor data have a simultaneous sequence. Data division: According to the determined identification group, the same-frequency sensor data is divided into multiple groups. Each group corresponds to an identification group and has a simultaneous sequence. Data storage: The divided multiple groups of sensor data are stored separately for subsequent data integration and analysis. The multiple groups of sensor data are integrated to generate the sensor monitoring data. Data integration: The stored multiple groups of sensor data are integrated to form a complete data set. This data set may include sensor data of each identification group for evaluating the status and risks of the construction process. Data processing and analysis: The integrated sensor monitoring data is processed and analyzed. For example, key parameters can be extracted, trend prediction, anomaly detection, etc. can be performed to evaluate the status and risks of the construction process. Through the above steps, the same-frequency sensor data can be collected based on distributed sensors, and the data can be divided and integrated according to the identification group. Finally, the sensor monitoring data is generated to evaluate the status and risks of the high-support formwork construction process, and corresponding suggestions and measures are provided to ensure the safety and quality of the construction process.

[0060] Furthermore, the method of the present application is to assess and predict the degree of risk of working conditions, and the method includes:

[0061] Setting a project forecast time zone, wherein the project forecast time zone is determined based on the interval time zones of adjacent sub-project nodes;

[0062] In combination with the risk control analysis module, real-time risk event prediction based on the sensor monitoring data is performed to determine the real-time risk control level;

[0063] Based on the project forecast time zone, predict future risk events and determine the forecast risk control level;

[0064] The node risk control level is determined based on the real-time risk control level and the predicted risk control level.

[0065] Specifically, the engineering prediction time zone is set, and the engineering prediction time zone is determined based on the interval time zone of adjacent sub-project nodes. The interval time zone of adjacent sub-project nodes is determined: according to the characteristics and requirements of high-support formwork construction, the interval time zone of adjacent sub-project nodes can be determined. This interval time zone can be a fixed time period, or it can be flexibly set according to the needs of the project and the actual situation. Set the engineering prediction time zone: Based on the interval time zone of adjacent sub-project nodes, an engineering prediction time zone can be set. This prediction time zone is usually longer than the interval time zone of adjacent sub-project nodes, so as to predict and analyze future risk events. Combined with the risk control analysis module, real-time risk event prediction based on the sensor monitoring data is performed, and the real-time risk control level is determined. Access sensor monitoring data: the collected same-frequency sensor data is accessed to the risk control analysis module as the basic data for real-time risk event prediction. Real-time risk event prediction: combined with the functions and algorithms of the risk control analysis module, the real-time access sensor monitoring data is processed and analyzed to identify and predict possible risk events. Determine the real-time risk control level: Based on the results of the real-time risk event prediction, the real-time risk control level of each sub-project node can be determined. This level can be a quantitative assessment or a classified assessment of the risk event, which is used to indicate the risk status of the current node. Based on the project prediction time zone, predict future risk events, determine the predicted risk control level, and analyze the project prediction time zone: According to the set project prediction time zone, analyze and predict the future construction process. Historical data, construction plans, environmental factors, etc. can be considered in this process. Prediction of future risk events: Based on the analysis results, predict and evaluate possible risk events in the future. Determine the predicted risk control level: Based on the results of the future risk event prediction, the predicted risk control level of each sub-project node can be determined. This level can be a quantitative assessment or a classified assessment of future risk events, which is used to indicate the risk status of future nodes. Based on the real-time risk control level and the predicted risk control level, determine the node risk control level, and compare the real-time risk control level with the predicted risk control level: Compare and analyze the real-time risk control level of each node with the predicted risk control level. This can help understand the current and future risk status, as well as the measures that need to be taken. Determine the node risk control level: Based on the comparison results, the final node risk control level of each sub-project node can be determined. This level can comprehensively consider the factors of real-time risk control level and predicted risk control level, and is used to indicate the overall risk status of the node. Output node risk control level: Output the determined node risk control level to the relevant units or responsible persons so that corresponding measures and decisions can be taken. This level can be a quantitative assessment value, a classified assessment level, or other forms of identification to indicate the node risk status and the measures that need to be taken. Through the above steps, the project prediction time zone can be set, and the risk control analysis module can be combined to perform real-time risk event prediction and future risk event prediction.Finally, the node risk control level of each sub-project node will be determined so that corresponding measures and decisions can be taken to ensure the safety and quality of the high-support formwork construction process.

[0066] Furthermore, the method of the present application generates risk control warning information based on the risk event type and risk level, and the method includes:

[0067] Configure multiple risk control warning methods for different risk event types;

[0068] Configure multiple risk control warning intensities for multiple risk levels;

[0069] Determine a risk control warning library by combining the multiple risk control warning methods and the multiple risk control warning intensities;

[0070] Based on the risk event type and the risk level, the risk control warning library is traversed to match and generate the risk control warning information.

[0071] Specifically, for different risk event types, configure multiple risk control warning methods to identify risk event types: First, it is necessary to identify and clarify the various risk event types that may occur during the high-support formwork construction process. These risk event types may include structural stability risks, material quality risks, construction operation risks, etc. Configure warning methods: For each type of risk event, you can configure the corresponding warning method. These warning methods may include SMS notifications, phone notifications, email notifications, on-site warning signs, etc., so that relevant personnel can be notified in time and countermeasures can be taken when risk events occur. For multiple risk levels, configure multiple risk control warning intensities to determine the risk level: For different risk event types in the high-support formwork construction process, different risk levels can be set, such as low risk, medium risk, and high risk. Configure warning intensity: For different risk levels, you can configure the corresponding warning intensity. For example, for low-risk events, the warning intensity can be low; for medium-risk events, the warning intensity can be moderate; for high-risk events, the warning intensity can be high. Combine the multiple risk control warning methods and the multiple risk control warning strengths, determine the risk control warning library, and establish a risk control warning dictionary: associate each risk event type with the corresponding warning method and warning strength, and establish a risk control warning dictionary. This dictionary can be used for subsequent risk control warning information generation. Generate a risk control warning library: According to the risk control warning dictionary, a risk control warning library can be generated. This library contains all possible risk event types, corresponding warning methods and warning strengths. Based on the risk event type and the risk level, traverse the risk control warning library, match and generate the risk control warning information, and traverse the risk control warning library: When a certain specific risk event occurs, the risk control warning library can be traversed to find the warning method and warning strength that match it. Generate risk control warning information: According to the warning method and warning strength found, corresponding risk control warning information can be generated. This information may include warning content, receiving personnel, notification method, etc. Send risk control warning information: Send the generated risk control warning information to relevant personnel through corresponding notification methods (such as text messages, phone calls, emails, etc.) so that they can understand the risk situation in a timely manner and take countermeasures. Through the above steps, you can configure multiple risk control warning methods for different risk event types, configure multiple risk control warning strengths for multiple risk levels, and combine the two to determine the risk control warning library. Then, based on specific risk event types and risk levels, traverse the risk control warning library to match and generate corresponding risk control warning information to achieve timely and accurate risk warning and management.

[0072] Embodiment 2

[0073] Based on the same inventive concept as the high-support formwork safety monitoring and early warning method in the above-mentioned embodiment, Figure 4 As shown, the present application provides a high-support formwork safety monitoring and early warning system, the system comprising:

[0074] The engineering node determination module 10 is used to read the high-support formwork special construction plan of the target project and determine the sub-project nodes based on the project risk;

[0075] The risk control indicator matching module 20 is used to match the multi-dimensional risk control indicators for the sub-project nodes, and determine the construction supervision indicators mapped to each sub-project node, wherein each construction supervision indicator is marked with a benchmark characteristic value;

[0076] A monitoring data determination module 30, which is used to monitor and collect actual construction conditions based on the construction supervision index and in combination with distributed sensors deployed in the construction area to determine sensor monitoring data;

[0077] A risk control level acquisition module 40, which is used to feed back the sensor monitoring data to the risk control analysis module, evaluate and predict the degree of risk of the working condition, and determine the node risk control level. The risk control analysis module is embedded with the construction supervision index;

[0078] A threshold judgment module 50, the threshold judgment module 50 is used to determine whether the risk control level of the node meets the risk control threshold standard;

[0079] The warning information generation module 60 determines the level information. If it does not meet the requirements, it generates risk control warning information and issues an alarm based on the risk event type and risk level.

[0080] Furthermore, the system also includes:

[0081] The node analysis module is used to use the target project as an index to perform big data retrieval to determine homologous project data; identify the homologous project data and perform frequent item mining to determine conventional risk project nodes; determine the environmental factors of the target project, and analyze potential risk project nodes with engineering risks in combination with the high-support formwork special construction plan, wherein the environmental factors at least include construction terrain and soil quality information; and determine the sub-project nodes by combining the conventional risk project nodes with the potential risk project nodes.

[0082] Furthermore, the system also includes:

[0083] A multi-dimensional risk control indicator determination module is used to determine the risk control dimensions, wherein the risk control dimensions include at least the formwork quality and the support system; for the support system, combined with the support point position, the system monitoring indicators are determined based on the overall load-bearing and single-point concentrated load; for the formwork quality, the quality monitoring indicators are determined based on the formwork material strength, surface flatness, and formwork size; the personnel risk indicators of the construction scene are determined; and the multi-dimensional risk control indicators are determined by combining the system monitoring indicators, the quality monitoring indicators, and the personnel risk indicators.

[0084] Furthermore, the system also includes:

[0085] A supervision indicator determination module is used to traverse the sub-project nodes, match the multi-dimensional risk control indicators based on indicator correlation, and determine multiple node mapping sequences, wherein the node mapping sequence is represented by node number-risk control indicator; split the high-support formwork special construction plan to determine the construction standard corresponding to each sub-project node; for the multiple node mapping sequences, based on the construction standard, determine the benchmark characteristic value for measuring the critical requirements of the working condition; map the multiple node mapping sequences and the benchmark characteristic value, perform sequential integration, and determine the construction supervision indicator.

[0086] Furthermore, the system also includes:

[0087] The monitoring data generation module collects same-frequency sensor data based on the distributed sensors; determines multiple identification groups mapped to the same monitoring area for the same-frequency sensor data; divides the same-frequency sensor data based on the multiple identification groups to determine multiple groups of sensor data, and the multiple groups of sensor data have simultaneous sequence; integrates the multiple groups of sensor data to generate the sensor monitoring data.

[0088] Furthermore, the system also includes:

[0089] The risk control level determination module is used to set the project prediction time zone, which is determined based on the interval time zone of adjacent sub-project nodes; in combination with the risk control analysis module, real-time risk event prediction is performed based on the sensor monitoring data to determine the real-time risk control level; based on the project prediction time zone, future risk events are predicted to determine the predicted risk control level; based on the real-time risk control level and the predicted risk control level, the node risk control level is determined.

[0090] Furthermore, the system also includes:

[0091] A matching and warning information generation module is used to configure multiple risk control warning methods for different risk event types; configure multiple risk control warning strengths for multiple risk levels; determine a risk control warning library by combining the multiple risk control warning methods with the multiple risk control warning strengths; based on the risk event type and the risk level, traverse the risk control warning library to match and generate the risk control warning information.

[0092] Through the detailed description of the aforementioned high-support formwork safety monitoring and early warning method, technical personnel in this field can clearly understand a high-support formwork safety monitoring and early warning system in this embodiment. For the system disclosed in the embodiment, since it corresponds to the device disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0093] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A high-rise formwork safety monitoring and early warning method, characterized in that: The method comprises: Read the special high-support formwork construction plan for the target project and determine the sub-project nodes based on the project risk; For the sub-project nodes, matching of multi-dimensional risk control indicators is performed to determine the construction supervision indicators mapped to each sub-project node, wherein each construction supervision indicator is marked with a benchmark characteristic value; Based on the construction supervision index, combined with the distributed sensors deployed in the construction area, actual construction conditions are monitored and collected to determine sensor monitoring data; Feeding back the sensor monitoring data to the risk control analysis module to evaluate and predict the degree of working condition risk and determine the node risk control level. The risk control analysis module is embedded with the construction supervision indicators; Determining whether the risk control level of the node meets the risk control threshold standard; If not met, risk control warning information will be generated and an alarm will be given based on the risk event type and risk level.

2. The method according to claim 1, characterized in that Determine the sub-project nodes based on project risk, the method includes: Using the target project as an index, a big data search is performed to determine homologous project data; Identify the homologous engineering data and perform frequent item mining to determine common risk engineering nodes; Determine the environmental factors of the target project, analyze the potential risk project nodes with engineering risks in combination with the high-support formwork special construction plan, and the environmental factors at least include construction terrain and soil quality information; The sub-project nodes are determined by combining the conventional risk project nodes with the potential risk project nodes.

3. The method according to claim 1, characterized in that Determine multi-dimensional risk control indicators. The method includes: Determine the risk control dimensions, wherein the risk control dimensions at least include template quality and support system; For the support system, combined with the support point position, the system monitoring index is determined based on the overall load-bearing and single-point concentrated load; With respect to the quality of the template, quality monitoring indicators are determined based on the template material strength, surface flatness, and template size; Determine the personnel risk indicators for construction scenarios; The multi-dimensional risk control indicator is determined by combining the system monitoring indicator, the quality monitoring indicator and the personnel risk indicator.

4. The method according to claim 3, characterized in that Determine the construction supervision index of each sub-project node mapping, the method includes: Traversing the sub-project nodes, matching the multi-dimensional risk control indicators based on indicator correlation, and determining multiple node mapping sequences, wherein the node mapping sequences are characterized as node sequence number-risk control indicator; Split the special high-support formwork construction plan and determine the construction standards corresponding to each sub-project node; For the plurality of node mapping sequences, based on the construction standard, determining a benchmark characteristic value for measuring critical requirements of a working condition; The plurality of node mapping sequences are mapped to the benchmark eigenvalues, and sequentially integrated to determine the construction supervision index.

5. The method according to claim 1, characterized in that Performing actual construction condition monitoring and collection to determine sensor monitoring data, the method includes: Based on the distributed sensors, collecting same-frequency sensing data; For the same-frequency sensing data, determining a plurality of identification groups mapped to the same monitoring area; Based on the multiple identification groups, the same-frequency sensing data is divided to determine multiple groups of sensing data, and the multiple groups of sensing data have a simultaneous sequence; The multiple sets of sensor data are integrated to generate the sensor monitoring data.

6. The method according to claim 1, characterized in that The method for assessing and predicting the degree of risk of working conditions includes: Setting a project forecast time zone, wherein the project forecast time zone is determined based on the interval time zones of adjacent sub-project nodes; In combination with the risk control analysis module, real-time risk event prediction based on the sensor monitoring data is performed to determine the real-time risk control level; Based on the project forecast time zone, predict future risk events and determine the forecast risk control level; The node risk control level is determined based on the real-time risk control level and the predicted risk control level.

7. The method according to claim 1, characterized in that Based on the risk event type and risk level, risk control warning information is generated. The method includes: Configure multiple risk control warning methods for different risk event types; Configure multiple risk control warning intensities for multiple risk levels; Determine a risk control warning library by combining the multiple risk control warning methods and the multiple risk control warning intensities; Based on the risk event type and the risk level, the risk control warning library is traversed to match and generate the risk control warning information.

8. A high-rise formwork safety monitoring and early warning system, characterized in that: The system comprises: A project node determination module, which is used to read the high-support formwork special construction plan of the target project and determine the sub-project nodes based on the project risk; A risk control indicator matching module, which is used to match multi-dimensional risk control indicators for the sub-project nodes and determine the construction supervision indicators mapped to each sub-project node, wherein each construction supervision indicator is marked with a benchmark characteristic value; A monitoring data determination module, which is used to monitor and collect actual construction conditions based on the construction supervision indicators and in combination with distributed sensors deployed in the construction area to determine sensor monitoring data; A risk control level acquisition module, which is used to feed back the sensor monitoring data to the risk control analysis module, evaluate and predict the degree of working condition risk, and determine the node risk control level. The risk control analysis module is embedded with the construction supervision index; A threshold judgment module, the threshold judgment module is used to determine whether the risk control level of the node meets the risk control threshold standard; The warning information generation module determines the level information. If it does not meet the requirements, it generates risk control warning information and issues an alarm based on the risk event type and risk level.

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