Construction site multi-modal data driven risk early warning method and system

Abstract

The present application relates to the technical field of water conservancy construction monitoring, especially relates to a risk early warning method and system based on multi-modal data driving of a construction site, the present application introduces the construction equipment operation parameter into the construction equipment operation state risk analysis strategy to carry out operation state risk analysis, and introduces the structural stress monitoring data and the water flow field change data of the water conservancy facility in the construction process into the stress vibration danger analysis strategy to carry out stress vibration danger analysis; the construction equipment operation state risk, the stress vibration danger state of the water conservancy facility under the water flow field change and the construction equipment construction position data are introduced into the construction danger position analysis strategy to carry out the next construction stage construction danger position analysis; based on the next construction stage water conservancy construction site danger position identification, the reinforcement scheme of the danger position is obtained. Thus, the safe and stable operation of the equipment is ensured; the accident risk caused by structural instability and water flow impact is reduced, and the integrity of the facility structure is ensured.

Description

Technical Field

[0001] This invention relates to the field of water conservancy facility construction monitoring technology, and in particular to a risk early warning method and system based on multimodal data driven by the construction site. Background Technology

[0002] As crucial infrastructure for regulating water resources, mitigating floods, and ensuring energy supply, the safety and stability of water conservancy facilities during construction directly impact project benefits, downstream protection capabilities, and the safety of people's lives and property. In complex construction environments, water conservancy facilities not only need to cope with structural disturbances from routine operations such as foundation excavation and concrete pouring, but also continuously experience the interaction of dynamic hydraulic loads such as reservoir water level fluctuations and flow velocity changes, leading to constant changes in structural stress state and vibration response. This multi-physics coupling effect can cause the structure to gradually develop from initial localized stress concentration to mid-term microcrack propagation, ultimately leading to overall instability or overturning risks. Failure to promptly identify the intrinsic correlation between abnormal equipment operation, structural stress deterioration, and sudden changes in the water flow environment can trigger a chain reaction of accidents, such as support structure collapse and cofferdam seepage damage, causing not only construction interruptions and economic losses but also potentially irreversible safety threats to downstream areas. By employing multimodal data-driven technology for risk monitoring, the simultaneous acquisition and fusion analysis of multi-source information such as equipment parameters, spatial location, structural stress, and water flow field can achieve dynamic perception and intelligent diagnosis of risks throughout the entire construction process. This breaks through the limitations of traditional monitoring methods and significantly improves the accuracy and timeliness of risk identification.

[0003] However, existing technologies, when constructing risk early warning systems for water conservancy construction, do not deeply correlate the operational risks of construction equipment with the structural vibration response of water conservancy facilities under the impact of water flow. For example, when an excavator performs high-amplitude vibration operations near the dam, if the superposition effect of stress redistribution in the dam body caused by a sudden drop in reservoir water level and equipment vibration transmission is not considered, it is difficult to accurately assess the instantaneous safety margin and potential damage mechanism of the dam structure, leading to misjudgment of the overall construction risk level. Simultaneously, existing technologies generally lack comprehensive modeling of the dynamic interaction mechanisms of multiple systems such as construction equipment, load-bearing structures, and the construction environment. This makes it difficult for risk assessment results to truly reflect the hazard evolution trend driven by multiple coupled factors, and fails to provide a reliable basis for accurate location of hazardous areas and targeted reinforcement decisions in the next construction phase.

[0004] To address these issues, this application presents a risk warning method and system driven by multimodal data from the construction site. Summary of the Invention

[0005] To overcome the shortcomings and deficiencies of existing technologies, this invention provides a risk early warning method and system based on multimodal data driven by construction sites. By constructing risk analysis strategies for the operating status of construction equipment and stress vibration hazard analysis strategies, the method analyzes the risks of the operating status of construction equipment and the stress vibration hazard status of hydraulic facilities under changes in the flow field, respectively. Based on the analysis results, it locates the dangerous locations of hydraulic facilities at the construction site in the next construction phase and provides reinforcement schemes for the dangerous locations at the construction site in the next construction phase, thereby ensuring the safety of the construction site and reducing the risks of personnel and equipment operating in high-risk areas.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In a first aspect, embodiments of the present invention provide a risk warning method based on multimodal data driven by construction site, comprising the following steps:

[0008] S1. Obtain the operating parameters of the construction equipment and the construction location data of the construction equipment at the construction site of the water conservancy facility, and at the same time obtain the structural stress monitoring data and water flow field change data of the water conservancy facility during the construction process;

[0009] S2. Import the operating parameters of the construction equipment into the risk analysis strategy for the operating status of the construction equipment to conduct risk analysis of the operating status and obtain the operating status risk of the construction equipment.

[0010] S3. Import the structural stress monitoring data and water flow field change data of the water conservancy facilities during the construction process into the stress vibration hazard analysis strategy to conduct stress vibration hazard analysis and obtain the stress vibration hazard status of the water conservancy facilities under the change of water flow field.

[0011] S4. Import the data on the operational status of construction equipment, the stress and vibration hazards of water conservancy facilities under the change of water flow field, and the construction location of construction equipment into the construction hazard location analysis strategy to conduct construction hazard location analysis for the next construction stage, and obtain the hazard location identification of the water conservancy facility construction site for the next construction stage.

[0012] S5. Import the dangerous location markers of the water conservancy facility construction site into the reinforcement scheme decision-making strategy for the next construction phase, and analyze the reinforcement scheme to obtain the reinforcement scheme for the dangerous location of the water conservancy facility construction site in the next construction phase.

[0013] As one implementation of the present invention, the risk analysis strategy for the operating status of construction equipment in step S2 specifically includes:

[0014] S21. Extract the equipment operating speed, equipment operating load, and equipment operating vibration amplitude from the operating parameters of the construction equipment;

[0015] S22. Analyze the degree of deviation of the equipment operating speed based on the equipment operating speed; analyze the degree of deviation of the equipment load based on the equipment operating load; analyze the degree of deviation of the equipment vibration based on the equipment operating vibration amplitude.

[0016] S23. Sum the deviations in equipment operating speed, equipment load, and equipment vibration, and use the summation result as the risk of the construction equipment's operating status.

[0017] As one implementation of the present invention, the stress vibration hazard analysis strategy in step S3 includes the following specific steps:

[0018] S31. Extract the water level change rate from the water flow field change data; divide the absolute value of the water level change rate by the structural safety water level change rate limit to obtain the water level change coefficient.

[0019] S32. From the structural stress monitoring data, extract the maximum stress value of the key structural points of the water conservancy facility in the current monitoring period and the maximum stress value of the key structural points of the water conservancy facility in the previous monitoring period; calculate the difference between the maximum stress value of the key structural points of the water conservancy facility in the current monitoring period and the maximum stress value of the key structural points of the water conservancy facility in the previous monitoring period to obtain the stress change; take the ratio of the stress change to the yield strength of the structural material as the trend of foundation stress change; multiply the trend of foundation stress change with the water level change coefficient to obtain the stress state deterioration degree of the key structural points of the water conservancy facility when the water level changes.

[0020] As one implementation of the present invention, the stress vibration hazard analysis strategy in step S3 further includes the following specific steps:

[0021] S33. Extract the current flow velocity and the maximum design flow velocity of the water conservancy facility at the key structural points from the flow field change data; divide the current flow velocity by the maximum design flow velocity to obtain the flow impact coefficient.

[0022] S34. Extract the root mean square value of vibration acceleration of key structural points of the water conservancy facility from the structural stress monitoring data; subtract the root mean square value of vibration acceleration from the foundation vibration acceleration value of the key structural points of the water conservancy facility under static load conditions to obtain the net vibration acceleration; take the ratio of net vibration acceleration to gravitational acceleration as the relative vibration intensity of the foundation; multiply the relative vibration intensity of the foundation with the water flow impact coefficient to obtain the degree of vibration state deterioration of the key structural points of the water conservancy facility under water flow impact.

[0023] S35. The arithmetic mean of the stress state deterioration degree of the key structural points of the water conservancy facility under water level change and the vibration state deterioration degree under water flow impact is calculated, and the arithmetic mean result is used as the stress and vibration danger state of the key structural points of the water conservancy facility under water flow field change.

[0024] As one implementation of the present invention, the construction hazard location analysis strategy in step S4 includes the following specific steps:

[0025] S41. Divide the construction site of water conservancy facilities into multiple construction sub-areas according to the number of key structural points of water conservancy facilities, and ensure that the key structural points of water conservancy facilities are evenly distributed in each construction sub-area.

[0026] S42. Based on the construction equipment that will arrive at the construction sub-area for construction in the next construction phase, extract the risk of the operating status of the construction equipment and the minimum distance between the construction location and the key structural point when the construction equipment arrives at the construction sub-area for construction in the next construction phase.

[0027] S43. Based on the minimum distance between the construction equipment and the key structural points of the water conservancy facilities, analyze the risk level of the construction location in the next construction stage; specifically, divide the minimum distance between the construction location and the key structural points by the safe operating distance of the construction equipment to obtain the safety coefficient of the construction location; take the reciprocal of the safety coefficient of the construction location to obtain the risk level of the construction location in the next construction stage.

[0028] As one implementation of the present invention, the construction hazard location analysis strategy in step S4 further includes the following specific steps:

[0029] S44. Extract the stress and vibration hazard status of key structural points of water conservancy facilities corresponding to the construction sub-area under the change of water flow field, and at the same time extract the risk of the operation status of construction equipment that will arrive at the construction sub-area for construction in the next construction stage, and the risk level of the construction location in the next construction stage.

[0030] S45. The comprehensive construction hazard value of the construction sub-area is obtained by arithmetically averaging the risk of stress and vibration, the risk of construction equipment operation status and the risk of construction location in the next construction stage.

[0031] S46. Obtain the comprehensive construction hazard value of all construction sub-regions, and use the construction sub-region corresponding to the maximum value of the comprehensive construction hazard value of all construction sub-regions as the hazard location marker of the water conservancy facility construction site in the next construction stage.

[0032] As one implementation of the present invention, the reinforcement scheme decision strategy in step S5 includes the following specific contents:

[0033] S51. Obtain the key structural points of water conservancy facilities from the dangerous location markers at the construction site of water conservancy facilities in the next construction phase, and extract the structural types corresponding to the key structural points of water conservancy facilities from the water conservancy facility structure diagram.

[0034] S52. Based on the structural type corresponding to the key structural point of the water conservancy facility, select the reinforcement method corresponding to the structural type of the key structural point of the water conservancy facility from the standard reinforcement scheme database.

[0035] Secondly, embodiments of the present invention also provide a risk warning system driven by multimodal data from construction sites, including:

[0036] The multimodal data acquisition module is used to acquire the operating parameters of construction equipment and the construction location data of construction equipment at the construction site of water conservancy facilities, and at the same time acquire the structural stress monitoring data and water flow field change data of water conservancy facilities during the construction process;

[0037] The equipment risk analysis module is used to import the operating parameters of construction equipment into the construction equipment operating status risk analysis strategy to perform operating status risk analysis and obtain the operating status risk of construction equipment.

[0038] The stress and vibration analysis module is used to import the structural stress monitoring data and water flow field change data of the hydraulic facilities during the construction process into the stress and vibration hazard analysis strategy to conduct stress and vibration hazard analysis and obtain the stress and vibration hazard status of the hydraulic facilities under the change of water flow field.

[0039] The hazard location module is used to import the risk of construction equipment operation status, the hazard status of hydraulic facilities under force and vibration under the change of water flow field, and the construction location data of construction equipment into the construction hazard location analysis strategy to conduct construction hazard location analysis for the next construction stage, and obtain the hazard location identification of the hydraulic facility construction site in the next construction stage.

[0040] The reinforcement scheme decision module is used to import the dangerous location markers of the water conservancy facility construction site in the next construction phase into the reinforcement scheme decision strategy for reinforcement scheme analysis, and obtain the reinforcement scheme for the dangerous location of the water conservancy facility construction site in the next construction phase.

[0041] The control module is used to control the operation of the multimodal data acquisition module, equipment risk analysis module, stress vibration analysis module, hazard location module, and reinforcement scheme decision module.

[0042] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0043] 1. This invention reduces the risk of construction interruption caused by hidden equipment failures by quantitatively analyzing the risks of construction equipment operation status, thus ensuring the safe and stable operation of the equipment;

[0044] 2. This invention improves the comprehensiveness of stress vibration risk assessment by synergistically analyzing the stress on the structure of water conservancy facilities and the changes in the water flow field, reduces the risk of safety accidents caused by structural instability and water flow impact, and ensures the integrity of the facility structure.

[0045] 3. This invention reduces the risks to personnel and equipment operating in high-risk areas and ensures on-site operational safety by analyzing the correlation between equipment risk, structural risk and construction location.

[0046] 4. By analyzing reinforcement schemes for dangerous construction locations, this invention improves the relevance and feasibility of reinforcement schemes, reduces the risk of reinforcement failure or secondary damage, and ensures the structural reliability of the facility after reinforcement. Attached Figure Description

[0047] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0048] Figure 1 This is a schematic diagram of the overall process of the risk early warning method based on multimodal data driven by construction site of the present invention;

[0049] Figure 2 This is a flowchart of step S2 in the risk warning method based on multimodal data driven by construction site of the present invention;

[0050] Figure 3 This is a flowchart of step S3 in the risk warning method based on multimodal data driven by construction site of the present invention;

[0051] Figure 4 This is a schematic diagram of the risk warning system based on multimodal data driven by construction site according to the present invention. Detailed Implementation

[0052] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0053] Example 1

[0054] like Figure 1 As shown, this embodiment provides a risk warning method based on multimodal data driven by construction site, which specifically includes the following steps:

[0055] S1. Obtain the operating parameters of the construction equipment and the construction location data of the construction equipment at the construction site of the water conservancy facility, and at the same time obtain the structural stress monitoring data and water flow field change data of the water conservancy facility during the construction process;

[0056] S2. Import the operating parameters of the construction equipment into the risk analysis strategy for the operating status of the construction equipment to conduct risk analysis of the operating status and obtain the operating status risk of the construction equipment.

[0057] S3. Import the structural stress monitoring data and water flow field change data of the water conservancy facilities during the construction process into the stress vibration hazard analysis strategy to conduct stress vibration hazard analysis and obtain the stress vibration hazard status of the water conservancy facilities under the change of water flow field.

[0058] S4. Import the data on the operational status of construction equipment, the stress and vibration hazards of water conservancy facilities under the change of water flow field, and the construction location of construction equipment into the construction hazard location analysis strategy to conduct construction hazard location analysis for the next construction stage, and obtain the hazard location identification of the water conservancy facility construction site for the next construction stage.

[0059] S5. Import the dangerous location markers of the water conservancy facility construction site into the reinforcement scheme decision-making strategy for the next construction phase, and analyze the reinforcement scheme to obtain the reinforcement scheme for the dangerous location of the water conservancy facility construction site in the next construction phase.

[0060] In this embodiment, as Figure 2 As shown, the risk analysis strategy for the operating status of construction equipment in step S2 specifically includes:

[0061] S21. Extract the equipment operating speed, equipment operating load, and equipment operating vibration amplitude from the operating parameters of the construction equipment;

[0062] It should be noted that this embodiment accurately extracts equipment operating speed, equipment operating load, and equipment operating vibration amplitude from the operating parameters of the construction equipment. Equipment operating speed is directly related to work efficiency and safety. Abnormal speed may lead to disordered construction rhythm or equipment overload. Equipment operating load determines the structural bearing capacity of the equipment. Exceeding the rated load will accelerate the wear of equipment components and even cause structural fracture. Equipment operating vibration amplitude reflects the stability of the equipment. Excessive vibration will indicate potential faults such as bearing damage and loose components. The combination of the three can comprehensively cover the power, load-bearing and stability dimensions of equipment operation, laying the foundation for subsequent risk analysis. The parameter acquisition process relies on an industrial Internet of Things (IoT) system: the construction equipment is pre-installed with corresponding sensors, such as speed sensors (used to collect the operating speed of equipment such as excavators and cranes, with units of km / h or r / min depending on the equipment type), tension / compression sensors (used to monitor the lifting capacity of cranes and the bucket load of loaders, with units of kN), and piezoelectric vibration sensors (used to collect the vibration amplitude of the equipment body, with units of mm or g, usually taking the average value within 10 minutes to filter out instantaneous interference). This embodiment avoids analysis interference caused by parameter redundancy by extracting core parameters in a targeted manner. At the same time, it ensures the authenticity and timeliness of the parameters based on real-time sensor data, providing a reliable data source for subsequent deviation analysis. If any parameter is missing, it may lead to a one-sided risk assessment. For example, focusing only on speed and ignoring the load will miss the hidden risk of equipment overload operation.

[0063] S22. Based on the equipment operating speed, analyze the degree of deviation of the equipment operating speed; specifically, divide the absolute value of the difference between the equipment operating speed and the rated operating speed by the rated operating speed to obtain the degree of deviation of the equipment operating speed; based on the equipment operating load, analyze the degree of deviation of the equipment load; specifically, divide the absolute value of the difference between the equipment operating load and the rated load by the rated load to obtain the degree of deviation of the equipment load; based on the equipment operating vibration amplitude, analyze the degree of deviation of the equipment operating vibration; specifically, divide the absolute value of the difference between the equipment operating vibration amplitude and the rated vibration amplitude by the rated vibration amplitude to obtain the degree of deviation of the equipment operating vibration.

[0064] It should be noted that in step S22, this embodiment further analyzes the degree of deviation of equipment operating speed, the degree of deviation of equipment load, and the degree of deviation of equipment operating vibration, and all of them are calculated using relative deviations, which can eliminate the evaluation deviation caused by the difference in rated parameters of different equipment; for example, for the same speed deviation of 5km / h, the deviation of equipment with a rated speed of 10km / h accounts for 50%, while the deviation of equipment with a rated speed of 50km / h is only 10%. Absolute deviations cannot distinguish the risk differences between the two, while relative deviations can unify the evaluation standard and make the risks of equipment of different models and specifications comparable. The parameter acquisition process needs to be divided into two parts: First, the acquisition of the equipment's rated parameters. When each construction equipment leaves the factory, the manufacturer will clearly indicate the rated operating speed, rated load, and rated vibration amplitude in the technical specifications. For example, the rated operating speed of a certain model of tower crane is 3.5 km / h, the rated load is 20 kN, and the rated vibration amplitude is 0.4 mm. Those skilled in the art can retrieve the corresponding data from the technical archives of the equipment management system. Second, the acquisition of actual parameters, namely the equipment operating speed, load, and vibration amplitude data in S21. It is necessary to ensure that the actual parameter acquisition conditions are consistent with the applicable conditions of the rated parameters. For example, if the rated load is based on a flat working environment, temporary load fluctuations caused by extreme environments such as steep slopes and mud should be excluded during actual acquisition to avoid affecting the accuracy of deviation calculations due to differences in working conditions. This embodiment quantifies the degree of abnormality in equipment operation into specific values, enabling risk assessment to shift from qualitative judgment to quantitative analysis. For example, when the speed deviation is 0.3, it can be clearly determined that the equipment speed exceeds or falls below the rated value by 30%, providing a clear quantitative basis for subsequent risk summation. At the same time, the calculation method of relative deviation ensures the fairness of risk assessment between different equipment and avoids misjudgment of risks due to different equipment specifications.

[0065] S23. Sum the deviations in equipment operating speed, equipment load, and equipment vibration, and use the summation result as the risk of the construction equipment's operating status.

[0066] It should be noted that in step S23, the three parameters correspond to different risk dimensions of equipment operation: speed deviation affects work coordination and energy consumption, load deviation threatens equipment structural safety, and vibration deviation is associated with equipment failure probability. A single dimension of risk cannot reflect the overall operating status of the equipment. Summing integrates the risks of the three dimensions, highlighting the overall risk level of the equipment. For example, if a piece of equipment has a speed deviation of 0.2, a load deviation of 0.3, and a vibration deviation of 0.1, the summed risk value is 0.6, intuitively indicating that its overall risk is at a moderately high level. All three are relative deviations, ranging from 0 to positive infinity. If a parameter's deviation is 0, it means that there is no risk in that dimension and it does not affect the summation calculation. If a parameter's deviation is significantly higher than the other two (e.g., a load deviation of 1.5, far exceeding the speed and vibration deviations of 0.2), the summation highlights this core risk, prompting staff to prioritize equipment load issues. This embodiment transforms multi-dimensional risk indicators into a single comprehensive risk value through simple and intuitive summation calculations, facilitating construction managers to quickly assess equipment risks. This risk value can also be directly used for subsequent construction hazard location analysis, providing a unified quantitative standard for integrating equipment, structure, and location risks. This avoids analytical obstacles caused by inconsistent risk indicator formats and ensures the consistency and accuracy of risk assessment.

[0067] In this embodiment, as Figure 3 As shown, the stress-vibration hazard analysis strategy in step S3 includes the following specific steps:

[0068] S31. Extract the water level change rate from the water flow field change data; divide the absolute value of the water level change rate by the structural safety water level change rate limit to obtain the water level change coefficient.

[0069] It should be noted that the response of hydraulic structures (such as dams and sluices) to changes in water level is lagging. A sudden rise or fall in water level will cause a sharp change in the stress on the structure (such as a sudden increase in pressure on the water-facing side of the dam and a disorder in the seepage field of the dam body). The water level change coefficient can intuitively determine whether such changes exceed the structural safety bearing range and provide hydrological basis for subsequent stress risk analysis. The parameter acquisition process consists of two steps: First, the water level change rate is collected. Water level monitoring points are evenly distributed around the water conservancy facility (such as upstream and downstream of the dam body, and within the reservoir area). Each monitoring point is equipped with an ultrasonic water level gauge or a float water level gauge to collect water level data in real time (in meters). The collection interval is set to 1 hour (in this embodiment, it can also be adjusted to 30 minutes according to the construction progress). The water level change rate (in meters / hour) is obtained by dividing the water level difference between two adjacent collection times by the time interval. The absolute value is taken because both sudden rises (such as those caused by heavy rain) and sudden drops (such as those caused by emergency flood discharge) can cause structural risks and require equal attention. Second, the structural safety water level change rate limit is determined. This limit is calculated by the design unit based on the structural type of the water conservancy facility (concrete dam, earth dam), material strength (such as C30 concrete, silty clay), and hydrological conditions (basin flood frequency) through finite element structural analysis. For example, the structural safety water level change rate limit for a certain concrete dam is 0.5 m / h. Those skilled in the art can retrieve this value from the structural safety parameter table in the water conservancy facility design documents. This embodiment transforms abstract water level changes into quantifiable risk coefficients. When the coefficient is greater than 1, it indicates that the rate of water level change exceeds the safety limit, requiring an early warning to be activated. This prevents structural damage caused by undetected rapid water level changes. For example, if the water level change rate of a reservoir reaches 0.8 m / h, and the structural safety water level change rate limit is 0.5 m / h, the water level mutation coefficient is 1.6, indicating that the water level change has exceeded the safe range and the flood discharge rhythm needs to be adjusted. At the same time, this coefficient provides hydrological risk input for subsequent stress state deterioration calculations, ensuring that structural risk analysis is closely related to actual hydrological conditions.

[0070] S32. From the structural stress monitoring data, extract the maximum stress value of the key structural points of the water conservancy facility in the current monitoring period and the maximum stress value of the key structural points of the water conservancy facility in the previous monitoring period; calculate the difference between the maximum stress value of the key structural points of the water conservancy facility in the current monitoring period and the maximum stress value of the key structural points of the water conservancy facility in the previous monitoring period to obtain the stress change; take the ratio of the stress change to the yield strength of the structural material as the trend of foundation stress change; multiply the trend of foundation stress change with the water level change coefficient to obtain the stress state deterioration degree of the key structural points of the water conservancy facility when the water level changes.

[0071] It should be noted that water level changes are the main cause of structural stress changes, while stress change trends reflect the direction of structural stress deterioration. Combining the two can accurately assess the actual impact of water level changes on structural stress, avoiding the one-sidedness of only looking at stress and ignoring the cause or only looking at water level and ignoring the consequences of stress. Parameter acquisition involves multiple data sources: First, the determination of key structural points. Based on the structural characteristics of the hydraulic facilities, the weakest parts under stress are selected as key structural points (such as the middle of the dam slope, the bottom of the sluice gate pier, and the side wall of the spillway stilling basin). These parts are clearly marked as "key monitoring points" in the design drawings, and those skilled in the art can match the corresponding stress monitoring data according to the number. Second, the acquisition of maximum stress values. Strain gauges are attached to the surface of each key structural point or fiber optic sensors are deployed to collect stress data (in MPa) in real time. The monitoring cycle is set to 12 hours (in coordination with the water level monitoring cycle). The maximum stress value is extracted within each cycle (excluding instantaneous stress peaks). The time interval between the current cycle and the previous cycle is strictly maintained at 12 hours to ensure the timeliness of stress change calculation. Third, the acquisition of the yield strength of structural materials. According to the material type of the key structural points, the standard value is retrieved from the material's factory test report. For example, the yield strength of C30 concrete is 20.1 MPa. Fourth, the retrieval of the water level mutation coefficient, i.e., the coefficient value of the corresponding monitoring point calculated in S31. This embodiment uses stress change for calculation, capturing the dynamic evolution characteristics of stress. Static absolute stress values ​​only reflect instantaneous states, while the rate of stress change over time truly reveals the structural stress development trend. For example, during a rapid rise in water level, although the current stress value may not yet exceed the safety threshold, a sharp increase in stress within a short period indicates that the structure is under rapidly increasing loads, posing a potential risk. This dynamic monitoring mechanism overcomes the lag of traditional static assessments, providing a crucial time window for early warning. Furthermore, the absolute value of stress change has completely different meanings for large concrete structures and small metal components, but the proportional change relative to the load-bearing capacity of their respective materials has a unified early warning value. Therefore, this embodiment achieves dimensionless processing of physical quantities by dividing the stress change by the yield strength, making the stress states of structural components of different materials and scales comparable. It should be noted that the impact of water level changes on structural stress is not a simple linear superposition, but rather has a significant amplification effect. When the water level is stable, structural stress changes are usually relatively gradual; however, when the water level fluctuates rapidly, the same degree of stress change often indicates a more severe structural response. The multiplicative model precisely captures this nonlinear relationship. For example, when the trend of the change in foundation stress is 0.15 and the coefficient of water level change is 0.8, the degree of stress state deterioration is 0.12. However, if the coefficient of water level change increases to 1.2 (indicating that the water level change exceeds the safety limit by 20%), the degree of deterioration rises to 0.18, accurately reflecting the aggravating effect of water level change on stress risk.This coupled analysis method effectively solves the limitations of single-factor evaluation, taking into account both the mechanical response of the structure itself and the excitation factors of the fluid environment, making the evaluation results closer to engineering practice.

[0072] In this embodiment, the stress vibration hazard analysis strategy in step S3 further includes the following specific steps:

[0073] S33. Extract the current flow velocity and the maximum design flow velocity of the water conservancy facility at the key structural points from the flow field change data; divide the current flow velocity by the maximum design flow velocity to obtain the flow impact coefficient.

[0074] It should be noted that the impact force of water flow on a structure follows the principles of fluid mechanics. The greater the velocity, the stronger the impact force, which may lead to wear on the structural surface, increased vibration, or even local damage. The maximum design flow velocity is the maximum flow velocity that the structure can withstand during the design phase. The coefficient can quantify the ratio of the actual flow velocity to the design value to determine whether the impact force exceeds the design expectations. The parameter acquisition process is as follows: First, the current water flow velocity is collected by deploying Doppler current meters near the water-facing side of key structural points (to avoid the influence of water flow disturbance) and collecting water flow velocity data in real time (in m / s). During the acquisition, it is necessary to ensure that the probe of the current meter is aligned with the direction of water flow. For example, when monitoring the water flow velocity of a sluice gate pier, the probe must be directly facing the direction of the incoming flow to avoid data being too low due to angular deviation. Second, the design maximum water flow velocity is obtained by the design unit based on the functional positioning of the water conservancy facility (flood control, irrigation, power generation), the hydrological observation data of the basin (historical maximum flow velocity, flood season flow velocity), and the structural impact resistance strength. For example, the design maximum water flow velocity of a certain sluice gate is 3 m / s, and this value will be clearly marked in the hydraulic parameter table of the design specification. This embodiment quantifies the risk of water flow impact into an intuitive coefficient value. When the coefficient is less than 1, it indicates that the water flow velocity is within the design range and the impact risk is low. When the coefficient is greater than 1, it indicates that the water flow velocity exceeds the standard, and structural impact damage needs to be monitored. For example, when a reservoir discharges floodwater, the water flow velocity at the gate pier reaches 3.6 m / s, while the maximum design flow velocity is 3 m / s. The water flow impact coefficient is 1.2, indicating a high impact risk, and the gate pier vibration monitoring needs to be strengthened. At the same time, this coefficient provides the water flow impact dimension as input for subsequent vibration state deterioration calculation, ensuring that the vibration risk analysis is closely related to the actual water flow conditions and avoiding underestimation of vibration risk due to ignoring water flow impact.

[0075] S34. Extract the root mean square value of vibration acceleration of key structural points of the water conservancy facility from the structural stress monitoring data; subtract the root mean square value of vibration acceleration from the foundation vibration acceleration value of the key structural points of the water conservancy facility under static load conditions to obtain the net vibration acceleration; take the ratio of net vibration acceleration to gravitational acceleration as the relative vibration intensity of the foundation; multiply the relative vibration intensity of the foundation with the water flow impact coefficient to obtain the degree of vibration state deterioration of the key structural points of the water conservancy facility under water flow impact.

[0076] It should be noted that the root mean square value of vibration acceleration includes foundation vibration under static load conditions (such as construction equipment operation and environmental wind vibration), while net vibration acceleration can eliminate these irrelevant interferences and only reflects the additional vibration caused by water flow impact; gravity acceleration, as a standard reference value, can standardize the net vibration acceleration and make the vibration intensity of different structural points comparable; multiplying it with the water flow impact influence coefficient is because water flow impact is the direct cause of vibration aggravation, and multiplying the two can reflect the causal relationship that the stronger the impact, the higher the vibration risk. The parameter acquisition process is as follows: First, the root mean square value of vibration acceleration is collected. Piezoelectric accelerometers are installed at key structural points, and the acquisition frequency is set to 100Hz (to ensure the capture of high-frequency vibrations). The root mean square value of vibration acceleration within 10 minutes is calculated using data processing software. This value reflects the stability and intensity of vibration, avoiding misjudgments caused by instantaneous peak values. Second, the vibration acceleration value of the static load foundation is obtained. During the static load period when there is no water flow impact or construction equipment operation in the hydraulic facility, the root mean square value is collected and calculated using the same accelerometer as a benchmark value to exclude the influence of daily environmental vibrations. For example, the static load foundation vibration acceleration value of a certain gate pier is 0.05. Third, the value of gravity acceleration is adopted, using the international standard value of 9.8. Fourth, the water flow impact influence coefficient is used, that is, the water flow impact influence coefficient of the corresponding structural point calculated in step S33. This embodiment accurately isolates the vibration risk caused by water flow impact by calculating the net vibration acceleration, avoiding misjudging environmental vibration as impact vibration. For example, if the root mean square value of the vibration acceleration of a certain structure is 0.3, after deducting the static load foundation value of 0.05, the net vibration acceleration is 0.25, which better reflects the actual impact vibration. The standardization of relative vibration intensity allows for direct comparison of vibration risks at different structural points. For example, the relative vibration intensity of the dam body and the gate pier can be compared by the ratio to the gravitational acceleration. Multiplying with the water flow impact coefficient allows the degree of vibration state deterioration to reflect the degree of influence of water flow impact. For example, with an impact coefficient of 1.2 and a relative vibration intensity of 0.025, the deterioration degree after multiplication is 0.03, which intuitively reflects the synergistic risk of impact and vibration, providing reliable data on the vibration dimension for the comprehensive assessment of the subsequent stress vibration hazard state.

[0077] S35. The arithmetic mean of the stress state deterioration degree of the key structural points of the water conservancy facility under water level change and the vibration state deterioration degree under water flow impact is calculated, and the arithmetic mean result is used as the stress and vibration danger state of the key structural points of the water conservancy facility under water flow field change.

[0078] It should be noted that stress deterioration may lead to instantaneous cracking of the structure (such as cracks appearing in concrete gate piers due to stress exceeding yield strength), while vibration deterioration may lead to structural fatigue damage (such as internal damage accumulation in dams due to long-term vibration). Both pose a comparable threat to the structural safety of hydraulic facilities, and the arithmetic mean can balance their weights, preventing either dimension from being overlooked. This embodiment integrates the structural risk under the water flow field from two isolated dimensions—stress and vibration—into a single comprehensive hazard state value, enabling construction managers to quickly assess the stress and vibration hazard state. Simultaneously, the stress and vibration hazard state is directly associated with the corresponding construction sub-area, providing structural-level risk input for subsequent construction hazard location analysis. This ensures that the integrated analysis of equipment risk, location risk, and structural risk has a unified quantitative standard, avoiding assessment confusion caused by inconsistent risk indicator dimensions, thereby comprehensively reflecting the structural safety status of hydraulic facilities under the influence of water flow.

[0079] In this embodiment, the construction hazard location analysis strategy in step S4 includes the following specific steps:

[0080] S41. Divide the construction site of water conservancy facilities into multiple construction sub-areas with equal area according to the number of key structural points of the water conservancy facilities, and ensure that the key structural points of the water conservancy facilities are evenly distributed in each construction sub-area. It should be noted that the construction site of water conservancy facilities is usually large. If the overall assessment is carried out, it will lead to ambiguity in risk distribution. Dividing into equal areas can ensure that the assessment base of each sub-area is consistent and avoid the imbalance of risk weight due to the difference in area size. Even distribution of key structural points can ensure that each sub-area covers the core of structural risk and avoid the situation where a certain sub-area has no key structural points and ignores its impact on the surrounding structure, or where a certain sub-area has too many structural points and the risk is concentrated but not subdivided. The determination of the number of key structural points involves extracting their numbers and quantities from the hydraulic facility design drawings or preliminary structural monitoring plans. For example, a dam project might have 12 key structural points. The total area of ​​the construction site is measured using GPS positioning to collect the boundary coordinates (e.g., coordinates of the four vertices: east, west, south, and north). The total area is then calculated in GIS map software. If there are unconstructable areas such as rivers or roads, their areas are deducted to obtain the actual construction area. The area of ​​each sub-region is calculated by dividing the actual construction area by the number of key structural points. For example, if the actual construction area is 12,000 m², with 12 structural points, each sub-region would have an area of ​​1,000 m². The fourth aspect involves the division and verification of sub-regions. To ensure that each sub-region contains only one structural point, polygonal sub-regions of equal area are drawn on the GIS map based on the site's terrain boundaries (such as construction barriers or river edges). This embodiment uses standardized sub-region division to enable subsequent risk assessments to be conducted using uniform units, ensuring that the risk values ​​of each sub-region are comparable and avoiding imbalances in risk assessments due to differences in region size. The even distribution of key structural points ensures that the risk assessment of each sub-region is closely related to structural safety, avoiding blind spots in risk assessment. For example, if a sub-region does not contain key structural points, the vibration impact of construction equipment on distant structures in that area may be overlooked. Even distribution allows the assessment of each sub-region to focus on structural safety, providing a precise spatial unit basis for subsequent identification of hazardous locations.

[0081] S42. Based on the construction equipment that will arrive at the construction sub-area for construction in the next construction phase, extract the risk of the operating status of the construction equipment and the minimum distance between the construction location and the key structural point when the construction equipment arrives at the construction sub-area for construction in the next construction phase.

[0082] It should be noted that the operational risk of construction equipment determines the safety level of the equipment itself, while the distance between the equipment and critical structural points determines the potential impact of construction on the structure (such as equipment vibration transmission and collision risk). Combining the two can comprehensively reflect the dual risks of equipment construction in a specific sub-area, avoiding the situation where only equipment risk is considered while ignoring structural impact, or only distance is considered while ignoring the inherent hidden dangers of the equipment itself. Parameter acquisition relies on the construction plan and spatial data: First, the determination of the next stage of construction equipment list is carried out by the construction technical department based on the construction schedule plan (such as network diagrams and Gantt charts), clarifying the construction tasks of each sub-area in the next stage (e.g., dam pouring in sub-area 1, gate installation in sub-area 2), and matching the corresponding construction equipment (e.g., concrete pump truck and vibrator required for sub-area 1, crane and welding machine required for sub-area 2). The list must include equipment number, model, and operating time period; Second, the extraction of equipment operating status risk is carried out by retrieving the corresponding equipment operating status risk value from S23 according to the equipment number. If a sub-area has multiple pieces of equipment (e.g., sub-area...), the risk level of the equipment operating status is determined by the equipment number. Area 1 has 2 concrete pump trucks. It is necessary to extract the operational status risk of each piece of equipment. The third is to calculate the distance between the construction location and the key structural point. Obtain the coordinates of the operation point of the equipment in the sub-area from the construction plan drawings, and obtain the coordinates of the key structural point in the sub-area from the design drawings. Calculate the distance from the equipment location to the structural point using the Euclidean distance formula, and take the minimum value as the minimum distance (in meters). This is because the minimum distance best reflects the degree of closest contact between the equipment and the structure. The closer the distance, the greater the impact of construction on the structure. For example, a certain piece of equipment has 3 operation points, and the distances to the structural point are 6m, 5m, and 7m, respectively. The minimum distance is 5m. This embodiment provides basic data for risk assessment of each sub-region in two dimensions: equipment and location. The risk of equipment operation status reflects the safety hazards of the equipment itself, and the minimum distance reflects the spatial impact of construction on the structure. Together, they constitute an important part of the risk of the sub-region. If either data is missing, the risk assessment may be one-sided. For example, if a piece of equipment has a low risk but is only 2m away from the structure point (less than the safe distance), it still needs to be assessed as having a high location risk. At the same time, these data provide direct input for subsequent location risk degree analysis and comprehensive hazard value calculation, ensuring that the risk assessment can be progressive and logically coherent.

[0083] S43. Based on the minimum distance between the construction equipment and the key structural points of the water conservancy facilities, analyze the risk level of the construction location in the next construction stage; specifically, divide the minimum distance between the construction location and the key structural points by the safe operating distance of the construction equipment to obtain the safety coefficient of the construction location; take the reciprocal of the safety coefficient of the construction location to obtain the risk level of the construction location in the next construction stage.

[0084] It should be noted that the safe operating distance of construction equipment is a "safety threshold" clearly defined in industry standards or equipment manuals. This ensures that the structural safety of the equipment will not be affected by vibration, collision, etc. during construction. A safety factor greater than 1 indicates that the actual distance is greater than the safe distance and is in a safe state. The reciprocal is taken because the smaller the safety factor, the higher the location risk. The reciprocal can reverse the safety level to the risk level, making the risk value consistent with the actual safety situation, which is in line with the intuitive understanding of risk assessment. In this embodiment, the determination of the safe operating distance for construction equipment is based on the equipment type (large equipment such as cranes, small equipment such as vibrators) and the structural type (concrete structure, earth structure), referring to the "General Safety Technical Regulations for Construction of Water Conservancy and Hydropower Projects" and the equipment operation manual. For example, the safe operating distance between a large tower crane and a concrete dam is 5m, and the safe operating distance between a small vibrator and an earth dam is 2m. If the equipment needs to perform high-altitude operations (such as a dam top crane), the safe operating distance needs to be appropriately increased (e.g., increased to 6m). Secondly, the minimum distance is used, that is, the minimum distance between the equipment construction position and the key structural point calculated in S42 must ensure that the units of both are consistent (both are meters). Thirdly, special cases are handled. If the minimum distance is 0 (the equipment is adjacent to the structural point), the safety factor is 0, the risk level is infinite, indicating an extremely high risk, and the construction position needs to be adjusted immediately. If the minimum distance is much greater than the safe operating distance (e.g., 10m, safety factor 2), the risk level is 0.5, indicating a low risk. This embodiment quantifies the spatial risk of equipment construction locations into specific values ​​through standardized calculation methods, making the location risks of different sub-regions and different equipment comparable. At the same time, the risk level value can be directly integrated with the equipment operation risk and the structural stress and vibration risk, providing a quantitative basis for the location dimension for subsequent comprehensive hazard value calculation. This avoids the ambiguity in the assessment caused by the inability to quantify location risks, ensures that the risk assessment of each sub-region covers spatial influencing factors, and improves the comprehensiveness and accuracy of risk assessment.

[0085] In this embodiment, the construction hazard location analysis strategy in step S4 further includes the following specific steps:

[0086] S44. Extract the stress and vibration hazard status of key structural points of water conservancy facilities corresponding to the construction sub-area under the change of water flow field, and at the same time extract the risk of the operation status of construction equipment that will arrive at the construction sub-area for construction in the next construction stage, and the risk level of the construction location in the next construction stage.

[0087] It should be noted that the stress and vibration hazard state reflects the risk of the structure itself under the influence of water flow, the equipment operation status risk reflects the safety hazards of the construction equipment, and the location risk level reflects the spatial impact of equipment construction on the structure. The three together constitute the "structure-equipment-location" risk system for sub-area construction. The absence of any one dimension will lead to an incomplete risk assessment. For example, only looking at equipment risk and ignoring structural risk will overlook the safety hazards of the structure itself; only looking at structural risk and ignoring location risk will overlook the additional impact of construction on the structure. In this embodiment, the extraction of the stress vibration hazard state is based on the correspondence between the sub-region and the key structural point in S41, and the stress vibration hazard state value of the corresponding structural point is retrieved from S35. The extraction of the equipment operation status risk is based on the equipment list of the sub-region in S42, and the operation status risk value of the corresponding equipment is retrieved from S23. If there are multiple devices in a sub-region, the maximum value among the operation status risk values ​​is taken as the equipment risk value for that sub-region, because the maximum value reflects the highest equipment risk within the sub-region. The extraction of the location risk level is based on the equipment construction location in S42, and the location risk level value of the corresponding sub-region is retrieved from S43. If there are multiple equipment locations in a sub-region, the maximum value is taken as the location risk value for that sub-region, because the highest location risk determines the spatial risk level of the sub-region. This embodiment gathers complete risk data for each construction sub-region, ensuring that subsequent comprehensive hazard value calculations cover the three key dimensions of structure, equipment, and location, avoiding underestimation or overestimation of risk due to missing data. It ensures that each sub-region corresponds to only one set of risk data, facilitating rapid risk comparison between regions and laying a data foundation for comprehensive hazard value calculations.

[0088] S45. The comprehensive construction hazard value of the construction sub-area is obtained by arithmetically averaging the risk of stress and vibration, the risk of construction equipment operation status and the risk of construction location in the next construction stage.

[0089] It should be noted that structural stress vibration risk is related to the safety of the water conservancy facility itself, equipment operation risk is related to the safety of construction equipment and personnel, and location risk is related to the mutual influence between construction and structure. There is no hierarchy among the three in terms of their importance to construction safety. The arithmetic mean can balance the weight of the three, avoid the risk imbalance caused by an excessive weight of one dimension, and intuitively reflect the overall risk level of the sub-region.

[0090] S46. Obtain the comprehensive construction hazard value of all construction sub-regions, and use the construction sub-region corresponding to the maximum value of the comprehensive construction hazard value of all construction sub-regions as the hazard location marker of the water conservancy facility construction site in the next construction stage.

[0091] It should be noted that when construction resources are limited (such as limited reinforcement materials and maintenance personnel), prioritizing the identification of the highest-risk sub-areas allows managers to concentrate resources on the areas most in need of control, avoiding the dispersion of resources in low-risk areas leading to loss of control in high-risk areas, which aligns with the principle of maximizing risk management efficiency. This embodiment retrieves the comprehensive hazard value of each sub-area from S45, establishing a "sub-area number - comprehensive hazard value" correspondence table; the comprehensive hazard values ​​are sorted from largest to smallest using data sorting software, identifying the sub-area number with the largest value. If multiple sub-areas have the same hazard value and are all at the maximum value (e.g., sub-area 3 and sub-area 5 are both 0.9), these sub-areas are all identified as hazardous locations; based on the sub-area number, detailed information about the area is retrieved from the GIS map, including location boundaries (coordinate range), key structural point numbers, construction equipment list, and current risk dimension composition, forming a hazardous location identification report that clearly defines the core risk and control focus of the area. This embodiment provides a clear target area for safety management in the next construction phase, avoiding managers from blindly searching for risk points in numerous sub-areas. For example, after identifying sub-area 5 as a dangerous location, targeted control measures can be formulated: reinforcing key structural points in the area, repairing construction equipment, and adjusting equipment construction positions. At the same time, the identification of dangerous locations can provide a basis for optimizing construction plans, such as postponing construction tasks in dangerous areas until the risk is reduced, or increasing the frequency of safety monitoring to ensure the safety of structures and personnel during construction and effectively reduce the probability of accidents.

[0092] In this embodiment, the reinforcement scheme decision strategy in step S5 includes the following specific contents:

[0093] S51. Obtain the key structural points of water conservancy facilities from the dangerous location markers at the construction site of water conservancy facilities in the next construction phase, and extract the structural types corresponding to the key structural points of water conservancy facilities from the water conservancy facility structure diagram.

[0094] It should be noted that different structural types of hydraulic facilities (such as concrete gate piers, earthen dam bodies, and reinforced concrete sidewalls of spillways) have significantly different stress characteristics, weak points, and applicable reinforcement methods. For example, concrete structures need to be reinforced, while earthen structures need to be seeped and resistant to sliding. Only by clearly identifying the structural type can a targeted reinforcement scheme be selected to avoid reinforcement failure caused by the mismatch between the scheme and the structural characteristics. First, this embodiment obtains the key structural point numbers and names (e.g., "Gate Pier-1#" and "Dam-3#") contained in the area from the S46 hazard location identification report. Second, it obtains the structural drawings provided by the design unit, including the overall layout drawing, structural details (e.g., gate pier cross-section and dam cross-section), and material list. Based on the structural point numbers, it locates the corresponding structural parts in the structural drawings and checks the structural type descriptions marked on the drawings, such as "Gate Pier #1: C30 reinforced concrete structure, height 15m, width 3m" and "Dam-3: silty clay dam, dam crest elevation 100m, dam slope ratio 1:2.5". Finally, in addition to the structural type, this embodiment can also obtain the material strength (e.g., concrete strength grade, soil compaction), dimensional parameters (e.g., structural thickness, height), and current damage status (e.g., whether there are cracks or seepage) of the structure from the drawings. This embodiment provides targeted information for subsequent reinforcement scheme selection by accurately extracting structural type and characteristics, avoiding deviations in reinforcement schemes caused by incorrect structural type judgment. For example, misjudging an earth dam as a concrete dam and selecting a reinforcement method of pasting carbon fiber cloth will not only fail to solve the seepage problem of the earth dam, but also waste materials. At the same time, the supplementary extraction of structural characteristics can make the subsequent selected reinforcement scheme more in line with the actual situation of the structure and improve the reinforcement effect. For example, for high-strength concrete structures, high-strength grouting materials can be selected to ensure that the structural strength meets the standards after reinforcement.

[0095] S52. Based on the structural type corresponding to the key structural point of the water conservancy facility, select the reinforcement method corresponding to the structural type of the key structural point of the water conservancy facility from the standard reinforcement scheme database.

[0096] It should be noted that the standard reinforcement scheme database integrates industry standards, engineering practice cases, and scientific research results, including mature reinforcement methods for different structural types. These methods have been verified through long-term practice and are scientific, safe, and feasible. They can avoid the technical risks caused by staff designing their own schemes and significantly shorten the decision-making time. Parameter acquisition and scheme selection need to be carried out in stages: First, the construction of the standard reinforcement scheme database is carried out by water conservancy engineering research institutions or management departments, who collect and organize domestic and foreign water conservancy facility reinforcement cases (such as concrete structure reinforcement cases, earth dam reinforcement cases), industry standard recommended schemes such as the "Technical Specification for Reinforcement of Water Conservancy Projects," and store the corresponding reinforcement schemes according to structural type. The database is then used to search for the corresponding structural type classification, filter out all applicable reinforcement methods (such as carbon fiber cloth bonding, steel cladding, high-pressure jet grouting), and then combine the specific risk conditions of the dangerous location (such as high stress state deterioration, prioritizing methods with good strength improvement) and construction conditions (such as whether there is space for large equipment operation on site) to determine the final solution. For example, if the stress deterioration degree of a gate pier is 0.8 and there is sufficient space on site, the external steel reinforcement method can be selected. In this embodiment, the reinforcement scheme is selected through a standard database, ensuring the scientific nature and reliability of the scheme and avoiding errors caused by insufficient experience. At the same time, the scheme selection process takes into account the on-site risks and construction conditions, making the scheme highly practical. For example, if large hoisting equipment cannot be used on site, the external steel reinforcement scheme is excluded, and carbon fiber cloth is selected instead. The final determined reinforcement scheme can specifically address the structural risks at dangerous locations. For example, for structures with high vibration deterioration degree, a reinforcement method with vibration reduction effect (such as adding dampers) is selected to ensure the structural safety of dangerous locations in the next construction stage and ensure the smooth progress of water conservancy facility construction.

[0097] Example 2

[0098] like Figure 4 As shown, this embodiment provides a risk early warning system driven by multimodal data from the construction site, including:

[0099] The multimodal data acquisition module is used to acquire the operating parameters of construction equipment and the construction location data of construction equipment at the construction site of water conservancy facilities, and at the same time acquire the structural stress monitoring data and water flow field change data of water conservancy facilities during the construction process;

[0100] The equipment risk analysis module is used to import the operating parameters of construction equipment into the construction equipment operating status risk analysis strategy to perform operating status risk analysis and obtain the operating status risk of construction equipment.

[0101] The stress and vibration analysis module is used to import the structural stress monitoring data and water flow field change data of the hydraulic facilities during the construction process into the stress and vibration hazard analysis strategy to conduct stress and vibration hazard analysis and obtain the stress and vibration hazard status of the hydraulic facilities under the change of water flow field.

[0102] The hazard location module is used to import the risk of construction equipment operation status, the hazard status of hydraulic facilities under force and vibration under the change of water flow field, and the construction location data of construction equipment into the construction hazard location analysis strategy to conduct construction hazard location analysis for the next construction stage, and obtain the hazard location identification of the hydraulic facility construction site in the next construction stage.

[0103] The reinforcement scheme decision module is used to import the dangerous location markers of the water conservancy facility construction site in the next construction phase into the reinforcement scheme decision strategy for reinforcement scheme analysis, and obtain the reinforcement scheme for the dangerous location of the water conservancy facility construction site in the next construction phase.

[0104] The control module is used to control the operation of the multimodal data acquisition module, equipment risk analysis module, stress vibration analysis module, hazard location module, and reinforcement scheme decision module.

[0105] The steps for implementing the corresponding functions of each parameter and unit module in the risk warning system based on multimodal data driven by construction site of the present invention can be referred to the parameters and steps in the embodiments of the risk warning method based on multimodal data driven by construction site mentioned above, and will not be repeated here.

[0106] The various embodiments in this invention are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for IoT devices and media are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0107] The systems, media, and methods provided in the embodiments of the present invention are in one-to-one correspondence. Therefore, the systems and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be repeated here.

[0108] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0109] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0110] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0111] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0112] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0113] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0114] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0115] The above are merely embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A risk early warning method based on multimodal data driven by construction site, characterized in that, Includes the following steps: S1. Obtain the operating parameters of the construction equipment and the construction location data of the construction equipment at the construction site of the water conservancy facility, and at the same time obtain the structural stress monitoring data and water flow field change data of the water conservancy facility during the construction process; S2. Import the operating parameters of the construction equipment into the risk analysis strategy for the operating status of the construction equipment to conduct risk analysis of the operating status and obtain the operating status risk of the construction equipment. S3. Import the structural stress monitoring data and water flow field change data of the water conservancy facilities during the construction process into the stress vibration hazard analysis strategy to conduct stress vibration hazard analysis and obtain the stress vibration hazard status of the water conservancy facilities under the change of water flow field. S4. Import the data on the operational status of construction equipment, the stress and vibration hazards of water conservancy facilities under the change of water flow field, and the construction location of construction equipment into the construction hazard location analysis strategy to conduct construction hazard location analysis for the next construction stage, and obtain the hazard location identification of the water conservancy facility construction site for the next construction stage. S5. Import the dangerous location markers of the water conservancy facility construction site into the reinforcement scheme decision-making strategy for the next construction phase, and analyze the reinforcement scheme to obtain the reinforcement scheme for the dangerous location of the water conservancy facility construction site in the next construction phase. The construction hazard location analysis strategy in step S4 includes the following specific steps: S41. Divide the construction site of water conservancy facilities into multiple construction sub-areas according to the number of key structural points of water conservancy facilities, and ensure that the key structural points of water conservancy facilities are evenly distributed in each construction sub-area. S42. Based on the construction equipment that will arrive at the construction sub-area for construction in the next construction phase, extract the risk of the operating status of the construction equipment and the minimum distance between the construction location and the key structural point when the construction equipment arrives at the construction sub-area for construction in the next construction phase. S43. Based on the minimum distance between the construction equipment and the key structural points of the water conservancy facilities, analyze the risk level of the construction location in the next construction stage; specifically, divide the minimum distance between the construction location and the key structural points by the safe operating distance of the construction equipment to obtain the safety coefficient of the construction location; take the reciprocal of the safety coefficient of the construction location to obtain the risk level of the construction location in the next construction stage.

2. The risk early warning method based on multimodal data driven by construction site as described in claim 1, characterized in that, The risk analysis strategy for the operating status of construction equipment in step S2 specifically includes: S21. Extract the equipment operating speed, equipment operating load, and equipment operating vibration amplitude from the operating parameters of the construction equipment; S22. Analyze the degree of deviation of the equipment operating speed based on the equipment operating speed; analyze the degree of deviation of the equipment load based on the equipment operating load; analyze the degree of deviation of the equipment vibration based on the equipment operating vibration amplitude. S23. Sum the deviations in equipment operating speed, equipment load, and equipment vibration, and use the summation result as the risk of the construction equipment's operating status.

3. The risk early warning method based on multimodal data driven by construction site as described in claim 2, characterized in that, The stress-vibration hazard analysis strategy in step S3 includes the following specific steps: S31. Extract the water level change rate from the water flow field change data; divide the absolute value of the water level change rate by the structural safety water level change rate limit to obtain the water level change coefficient. S32. Extract the maximum stress value of the key structural points of the water conservancy facility in the current monitoring period and the maximum stress value of the key structural points of the water conservancy facility in the previous monitoring period from the structural stress monitoring data; calculate the difference between the maximum stress value of the key structural points of the water conservancy facility in the current monitoring period and the maximum stress value of the key structural points of the water conservancy facility in the previous monitoring period to obtain the stress change. The ratio of stress change to the yield strength of the structural material is used as the trend of foundation stress change. The stress change trend of the foundation is multiplied by the water level change coefficient to obtain the stress state deterioration degree of key structural points of the water conservancy facility when the water level changes.

4. The risk early warning method based on multimodal data driven by construction site as described in claim 3, characterized in that, The stress-vibration hazard analysis strategy in step S3 also includes the following specific steps: S33. Extract the current flow velocity and the maximum design flow velocity of the water conservancy facility at the key structural points from the flow field change data; divide the current flow velocity by the maximum design flow velocity to obtain the flow impact coefficient. S34. Extract the root mean square value of vibration acceleration of key structural points of the water conservancy facility from the structural stress monitoring data; subtract the root mean square value of vibration acceleration from the foundation vibration acceleration value of the key structural points of the water conservancy facility under static load conditions to obtain the net vibration acceleration; take the ratio of net vibration acceleration to gravitational acceleration as the relative vibration intensity of the foundation; multiply the relative vibration intensity of the foundation with the water flow impact coefficient to obtain the degree of vibration state deterioration of the key structural points of the water conservancy facility under water flow impact. S35. The arithmetic mean of the stress state deterioration degree of the key structural points of the water conservancy facility under water level change and the vibration state deterioration degree under water flow impact is calculated, and the arithmetic mean result is used as the stress and vibration danger state of the key structural points of the water conservancy facility under water flow field change.

5. The risk early warning method based on multimodal data driven by construction site as described in claim 4, characterized in that, The construction hazard location analysis strategy in step S4 also includes the following specific steps: S44. Extract the stress and vibration hazard status of key structural points of water conservancy facilities corresponding to the construction sub-area under the change of water flow field, and at the same time extract the risk of the operation status of construction equipment that will arrive at the construction sub-area for construction in the next construction stage, and the risk level of the construction location in the next construction stage. S45. The comprehensive construction hazard value of the construction sub-area is obtained by arithmetically averaging the risk of stress and vibration, the risk of construction equipment operation status and the risk of construction location in the next construction stage. S46. Obtain the comprehensive construction hazard value of all construction sub-regions, and use the construction sub-region corresponding to the maximum value of the comprehensive construction hazard value of all construction sub-regions as the hazard location marker of the water conservancy facility construction site in the next construction stage.

6. The risk early warning method based on multimodal data driven by construction site as described in claim 5, characterized in that, The reinforcement scheme decision-making strategy in step S5 includes the following specific contents: S51. Obtain the key structural points of water conservancy facilities from the dangerous location markers at the construction site of water conservancy facilities in the next construction phase, and extract the structural types corresponding to the key structural points of water conservancy facilities from the water conservancy facility structure diagram. S52. Based on the structural type corresponding to the key structural point of the water conservancy facility, select the reinforcement method corresponding to the structural type of the key structural point of the water conservancy facility from the standard reinforcement scheme database.

7. A risk early warning system based on multimodal data driven by construction site, implemented based on the risk early warning method based on multimodal data driven by construction site as described in any one of claims 1-6, characterized in that, The system includes: The multimodal data acquisition module is used to acquire the operating parameters of construction equipment and the construction location data of construction equipment at the construction site of water conservancy facilities, and at the same time acquire the structural stress monitoring data and water flow field change data of water conservancy facilities during the construction process; The equipment risk analysis module is used to import the operating parameters of construction equipment into the construction equipment operating status risk analysis strategy to perform operating status risk analysis and obtain the operating status risk of construction equipment. The stress and vibration analysis module is used to import the structural stress monitoring data and water flow field change data of the hydraulic facilities during the construction process into the stress and vibration hazard analysis strategy to conduct stress and vibration hazard analysis and obtain the stress and vibration hazard status of the hydraulic facilities under the change of water flow field. The hazard location module is used to import the risk of construction equipment operation status, the hazard status of hydraulic facilities under force and vibration under the change of water flow field, and the construction location data of construction equipment into the construction hazard location analysis strategy to conduct construction hazard location analysis for the next construction stage, and obtain the hazard location identification of the hydraulic facility construction site in the next construction stage. The reinforcement scheme decision module is used to import the dangerous location markers of the water conservancy facility construction site in the next construction phase into the reinforcement scheme decision strategy for reinforcement scheme analysis, and obtain the reinforcement scheme for the dangerous location of the water conservancy facility construction site in the next construction phase. The control module is used to control the operation of the multimodal data acquisition module, the equipment risk analysis module, the force vibration analysis module, the hazard location module, and the reinforcement scheme decision module.

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