Risk early warning method and system based on construction site multi-modal data driving

Abstract

The invention relates to the technical field of water conservancy facility construction monitoring, in particular to a risk early warning method and system based on construction site multi-modal data driving. Structure stress monitoring data and water flow field change data of the water conservancy facility in the construction process are imported into a stress vibration danger analysis strategy for stress vibration danger analysis; the operation state risk of the construction equipment, the stress vibration dangerous state of the water conservancy facility under the change of the water flow field and the construction position data of the construction equipment are imported into a construction dangerous position analysis strategy for construction dangerous position analysis in the next construction stage; based on the dangerous position identification of the water conservancy facility construction site in the next construction stage, a dangerous position reinforcing scheme is obtained. Therefore, safe and stable operation of equipment is ensured; the accident risk caused by structural instability and water flow impact is reduced, and the integrity of the facility structure is guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water conservancy construction monitoring, and in particular to a risk early warning method and system based on multi-modal data driving of a construction site. BACKGROUND

[0002] As important infrastructure for regulating water resources, resisting flood disasters and ensuring energy supply, the safety and stability of water conservancy construction directly affect the project benefits, downstream regional protection capabilities and the safety of people's lives and property. In the complex construction environment, water conservancy facilities not only need to cope with structural disturbances caused by foundation excavation, concrete pouring and other conventional operations, but also continue to be affected by dynamic water loads such as fluctuation of reservoir water level and change of flow rate, resulting in continuous changes in structural stress state and vibration response; this multi-physical field coupling effect will make the structure from initial local stress concentration to gradual development of micro-crack expansion in the medium term, and eventually lead to overall instability or overturning risk in the later period; if the internal relationship between abnormal operation of construction equipment, deterioration of structural stress and sudden change of water flow environment cannot be captured in time, it may cause chain accidents such as collapse of supporting structure and seepage failure of cofferdam, which not only causes construction interruption and economic loss, but also may cause irreversible safety threat to the downstream area. Using multi-modal data driving technology for risk monitoring, the multi-source information such as equipment parameters, spatial position, structural stress and water flow field can be synchronously acquired and analyzed, the dynamic perception and intelligent diagnosis of the whole construction process risk can be realized, the limitations of traditional monitoring methods can be broken through, and the accuracy and timeliness of risk identification can be significantly improved.

[0003] However, the prior art does not deeply correlate the operation state risk of construction equipment with the structural vibration response of water conservancy facilities under water flow impact when constructing a water conservancy construction risk early warning system, for example, when an excavator is operating with high vibration amplitude near the dam area, if the superposition effect of stress redistribution of the dam body caused by sudden drop of reservoir water level and vibration transmission of the equipment is not considered, it is difficult to accurately evaluate the instantaneous safety margin and potential damage mechanism of the dam structure, thereby leading to misjudgment of the overall construction risk level. At the same time, the prior art generally lacks comprehensive modeling of the dynamic interaction mechanism of construction equipment, stressed structure, construction environment and other multi-systems, which makes it difficult for the risk assessment results to truly reflect the dangerous evolution trend under the driving of multi-factor coupling, and cannot provide reliable basis for accurate positioning of dangerous areas and targeted reinforcement decisions in the next construction stage.

[0004] To solve these problems, the present application designs a risk early warning method and system based on multi-modal data driving of a construction site. SUMMARY

[0005] In order to overcome the defects and deficiencies existing in the prior art, the application provides a risk early warning method and system based on multi-modal data driving of a construction site, and the construction equipment operation state risk and the stress vibration dangerous state of water conservancy facilities under water flow field changes are analyzed respectively by constructing a construction equipment operation state risk analysis strategy and a stress vibration dangerous analysis strategy.

[0006] In order to achieve the above purpose, the application adopts the following technical scheme: In a first aspect, the embodiments of the application provide a risk early warning method based on multi-modal data driving of a construction site, including the following steps: S1, obtaining construction equipment operation parameters and construction equipment construction position data of a water conservancy facility construction site, and simultaneously obtaining structure stress monitoring data and water flow field change data of the water conservancy facilities in the construction process; S2, importing the construction equipment operation parameters into a construction equipment operation state risk analysis strategy to perform operation state risk analysis, and obtaining construction equipment operation state risk; S3, importing the structure stress monitoring data and the water flow field change data of the water conservancy facilities in the construction process into a stress vibration dangerous analysis strategy to perform stress vibration dangerous analysis, and obtaining stress vibration dangerous state of the water conservancy facilities under water flow field changes; S4, importing the construction equipment operation state risk, the stress vibration dangerous state of the water conservancy facilities under water flow field changes, and the construction equipment construction position data into a construction dangerous position analysis strategy to perform next construction stage construction dangerous position analysis, and obtaining next construction stage water conservancy facility construction site dangerous position identification; S5, importing the next construction stage water conservancy facility construction site dangerous position identification into a reinforcement scheme decision strategy to perform reinforcement scheme analysis, and obtaining a reinforcement scheme of the next construction stage water conservancy facility construction site dangerous position.

[0007] As an implementation manner of the application, the construction equipment operation state risk analysis strategy in step S2 specifically includes: S21, extracting device operation speed, device operation load and device operation vibration amplitude of the construction equipment from the construction equipment operation parameters; S22, analyzing the device operation speed deviation degree based on the device operation speed, analyzing the device load deviation degree based on the device operation load, and analyzing the device operation vibration deviation degree based on the device operation vibration amplitude; S23, sum the equipment operation speed deviation degree, equipment load deviation degree and equipment operation vibration deviation degree, and take the sum as the construction equipment operation state risk.

[0008] As an implementation manner of the present application, the stress vibration danger analysis strategy in step S3 comprises 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 safe water level change rate limit value to obtain a water level mutation coefficient; S32, extract the maximum stress value of the key structure point of the water conservancy facility in the current monitoring period and the maximum stress value of the key structure point of the water conservancy facility in the last monitoring period from the structure stress monitoring data; subtract the maximum stress value of the key structure point of the water conservancy facility in the current monitoring period from the maximum stress value of the key structure point of the water conservancy facility in the last monitoring period to obtain a stress change amount; take the ratio of the stress change amount to the yield strength of the structural material as a basic stress change trend; multiply the basic stress change trend by the water level mutation coefficient to obtain a stress state deterioration degree of the key structure point of the water conservancy facility when the water level changes.

[0009] As an implementation manner of the present application, the stress vibration danger analysis strategy in step S3 further comprises the following specific steps: S33, extract the current water flow velocity at the key structure point of the water conservancy facility and the design maximum water flow velocity of the water conservancy facility from the water flow field change data; divide the current water flow velocity by the design maximum water flow velocity to obtain a water flow impact influence coefficient; S34, extract the vibration acceleration root mean square value of the key structure point of the water conservancy facility from the structure stress monitoring data; subtract the vibration acceleration root mean square value from the basic vibration acceleration value of the key structure point of the water conservancy facility under static load to obtain a net vibration acceleration; take the ratio of the net vibration acceleration to the gravity acceleration as a basic relative vibration intensity; multiply the basic relative vibration intensity by the water flow impact influence coefficient to obtain a vibration state deterioration degree of the key structure point of the water conservancy facility when the water flow impacts; S35, perform an arithmetic average operation on the stress state deterioration degree of the key structure point of the water conservancy facility when the water level changes and the vibration state deterioration degree of the key structure point of the water conservancy facility when the water flow impacts, and take the arithmetic average operation result as the stress vibration danger state of the key structure point of the water conservancy facility under the water flow field change.

[0010] As an implementation manner of the present application, the construction danger position analysis strategy in step S4 comprises the following specific steps: S41, divide the water conservancy facility construction site into a plurality of construction sub-regions according to the number of key structure points of the water conservancy facility, and ensure that the key structure points of the water conservancy facility are uniformly distributed in each construction sub-region; S42, based on the next construction stage to reach the construction sub-area construction equipment, extract the construction equipment operation state risk, the minimum distance between the construction position and the key structure point when the construction equipment reaches the construction sub-area in the next construction stage, and the construction position risk degree in the next construction stage is analyzed based on the minimum distance between the construction equipment and the key structure point of the water conservancy facility; specifically, the minimum distance between the construction position and the key structure point is divided by the safe operation distance of the construction equipment to obtain the safety coefficient of the construction position; the safety coefficient of the construction position is taken as the reciprocal to obtain the risk degree of the construction position in the next construction stage. S43, based on the minimum distance between the construction equipment and the key structure point of the water conservancy facility, the risk degree of the construction position in the next construction stage is analyzed; specifically, the minimum distance between the construction position and the key structure point is divided by the safe operation distance of the construction equipment to obtain the safety coefficient of the construction position; the safety coefficient of the construction position is taken as the reciprocal to obtain the risk degree of the construction position in the next construction stage.

[0011] As an implementation mode of the present application, the construction dangerous position analysis strategy in step S4 further includes the following specific steps: S44, the stress vibration dangerous state of the key structure point of the water conservancy facility corresponding to the construction sub-area under the change of the water flow field is extracted, and the operation state risk of the construction equipment reaching the construction sub-area in the next construction stage and the risk degree of the construction position in the next construction stage are extracted; S45, the stress vibration dangerous state, the operation state risk of the construction equipment and the risk degree of the construction position in the next construction stage are arithmetically averaged to obtain the comprehensive construction dangerous value of the construction sub-area; S46, the comprehensive construction dangerous values of all construction sub-areas are obtained, and the construction sub-area corresponding to the maximum value in the comprehensive construction dangerous values of all construction sub-areas is taken as the dangerous position mark of the water conservancy facility construction site in the next construction stage.

[0012] As an implementation mode of the present application, the reinforcement scheme decision strategy in step S5 includes the following specific contents: S51, the key structure point of the water conservancy facility in the dangerous position mark of the water conservancy facility construction site in the next construction stage is obtained, and the structure type corresponding to the key structure point of the water conservancy facility is extracted from the water conservancy facility structure diagram; S52, according to the structure type corresponding to the key structure point of the water conservancy facility, the reinforcement method corresponding to the structure type of the key structure point of the water conservancy facility is selected from the standard reinforcement scheme database.

[0013] Secondly, the present application further provides a risk early warning system based on construction site multi-modal data driving, which comprises: A multi-modal data acquisition module is used to obtain the construction equipment operation parameter and the construction equipment construction position data of the water conservancy facility construction site, and simultaneously obtain the structure stress monitoring data and the water flow field change data of the water conservancy facility in the construction process; The equipment risk analysis module is used to import the construction equipment operation parameter into the construction equipment operation state risk analysis strategy to analyze the operation state risk, and obtain the construction equipment operation state risk. The stress vibration analysis module is used for importing the structural stress monitoring data and the water flow field change data of the water conservancy facility in the construction process into a stress vibration danger analysis strategy to perform stress vibration danger analysis, so as to obtain a stress vibration danger state of the water conservancy facility under the water flow field change; The danger positioning module is used for importing 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 into a construction danger position analysis strategy to perform next construction stage construction danger position analysis, so as to obtain a next construction stage water conservancy facility construction site danger position mark; The reinforcement scheme decision module is used for importing the next construction stage water conservancy facility construction site danger position mark into a reinforcement scheme decision strategy to perform reinforcement scheme analysis, so as to obtain a reinforcement scheme of the next construction stage water conservancy facility construction site danger position. The control module is used for controlling the operation of the multi-modal data acquisition module, the equipment risk analysis module, the stress vibration analysis module, the danger positioning module and the reinforcement scheme decision module.

[0014] Compared with the prior art, the present application has the following advantages and beneficial effects: 1. The present application reduces the construction interruption risk caused by equipment hidden faults through quantitative analysis of the construction equipment operation state risk, and ensures the safe and stable operation of the equipment; 2. The present application improves the comprehensiveness of stress vibration risk assessment through the collaborative analysis of the water conservancy facility structure stress and the water flow field change, reduces the risk of safety accidents caused by structural instability and water flow impact, and ensures the structural integrity of the facility; 3. The present application reduces the risk of personnel and equipment operating in high-risk areas through the correlation analysis of equipment risk, structure risk and construction position, and ensures the safety of on-site operation; 4. The present application improves the pertinence and feasibility of the reinforcement scheme through reinforcement scheme analysis of the construction danger position, reduces the reinforcement failure or secondary damage risk, and ensures the structural reliability of the reinforced facility. BRIEF DESCRIPTION OF DRAWINGS

[0015] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments made with reference to the accompanying drawings: Figure 1 The figure is a whole flowchart of the risk early warning method based on multi-modal data driving of the construction site of the present application; Figure 2 The figure is a work flowchart of step S2 in the risk early warning method based on multi-modal data driving of the construction site of the present application; Figure 3 The figure is a work flowchart of step S3 in the risk early warning method based on multi-modal data driving of the construction site of the present application; 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

[0016] 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.

[0017] Example 1

[0018] 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: 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.

[0019] In this embodiment, as Figure 2 As shown, 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; It should be noted that the embodiment accurately extracts the equipment running speed, equipment running load and equipment running vibration amplitude from the construction equipment running parameters. The equipment running speed is directly related to the work efficiency and safety. Abnormal speed may cause construction rhythm disorder or equipment overload. The equipment running load determines the equipment structure bearing force. Excessive load will accelerate the equipment component wear and even cause structure fracture. The equipment running vibration amplitude reflects the equipment stability. Excessive vibration indicates potential failure such as bearing damage and component loosening. The combination of the three can comprehensively cover the power, load bearing and stability dimensions of equipment operation, laying a foundation for subsequent risk analysis. The parameter acquisition process is realized by relying on the industrial Internet of Things system: the construction equipment is pre-installed with corresponding sensors, such as a speed sensor (used to collect the running speed of excavators, cranes and other equipment, the unit is divided into km / h or r / min according to the type of equipment), a tension / pressure sensor (used to monitor the lifting capacity of cranes and the load of buckets of loaders, the unit is kN), and a piezoelectric vibration sensor (used to collect the vibration amplitude of the equipment body, the unit is mm or g, usually taking the average value within 10 minutes to filter transient interference). The embodiment extracts core parameters in a targeted manner, avoiding analysis interference caused by parameter redundancy. At the same time, based on real-time sensor data, the authenticity and timeliness of the parameters are ensured, providing a reliable data source for subsequent deviation degree analysis. If any parameter is missing, it may lead to one-sided risk assessment, such as focusing on speed and ignoring load, which may miss the implicit risk of equipment overload operation.

[0020] S22, based on the equipment running speed, analyzing the equipment running speed deviation degree; specifically, dividing the absolute value of the difference between the equipment running speed and the rated equipment running speed by the rated equipment running speed to obtain the equipment running speed deviation degree; based on the equipment running load, analyzing the equipment load deviation degree; specifically, dividing the absolute value of the difference between the equipment running load and the rated equipment load by the rated equipment load to obtain the equipment load deviation degree; based on the equipment running vibration amplitude, analyzing the equipment running vibration deviation degree; specifically, dividing the absolute value of the difference between the equipment running vibration amplitude and the rated equipment vibration amplitude by the rated equipment vibration amplitude to obtain the equipment running vibration deviation degree; It should be noted that in step S22, the present embodiment further analyzes the degree of deviation of the equipment running speed, the degree of deviation of the equipment load and the degree of deviation of the equipment running vibration, and all of them are calculated by using the relative deviation, which can eliminate the evaluation deviation caused by the difference of the rated parameters of different equipment; for example, the same speed deviation of 5 km / h, the deviation ratio of the equipment with rated speed of 10 km / h is 50%, and the deviation ratio of the equipment with rated speed of 50 km / h is only 10%, the absolute deviation cannot distinguish the risk difference between the two, the relative deviation can unify the evaluation standard, so that the risks of equipment of different types and different specifications are comparable. The parameter acquisition process needs to be divided into two parts: one is the acquisition of the rated parameters of the equipment, when each construction equipment is manufactured, the manufacturer will clearly mark the rated running speed, rated load and rated vibration amplitude in the technical manual, for example, the rated running speed of a certain type of tower crane is 3.5 km / h, the rated load is 20 kN, and the rated vibration amplitude is 0.4 mm, and the corresponding data can be retrieved from the technical archive of the equipment management system by the person skilled in the art; the second is the acquisition of the actual parameters, that is, the equipment running speed, load and vibration amplitude data in S21, which needs to ensure that the collection conditions of the actual parameters are consistent with the applicable conditions of the rated parameters, for example, the rated load is based on the flat ground working environment, and the temporary load fluctuation caused by extreme environments such as steep slope and muddy ground needs to be excluded during actual collection, so as to avoid the influence of working condition difference on the accuracy of deviation calculation. The present embodiment quantifies the abnormal degree of equipment running into specific numerical value, so that the risk assessment is changed from qualitative judgment to quantitative analysis, for example, when the speed deviation degree is 0.3, it can be determined that the equipment speed is 30% higher or lower than the rated value, which provides clear quantitative basis for subsequent risk summation, and the calculation method of relative deviation ensures the fairness of risk assessment between different equipment, avoiding risk misjudgment caused by different equipment specifications.

[0021] S23, summing the degree of deviation of the equipment running speed, the degree of deviation of the equipment load and the degree of deviation of the equipment running vibration, and taking the summation result as the running state risk of the construction equipment.

[0022] It should be noted that in step S23, the three parameters correspond to different risk dimensions of equipment operation respectively: speed deviation affects job coordination and energy consumption, load deviation threatens equipment structural safety, and vibration deviation is related to equipment failure probability. The risk of a single dimension cannot reflect the overall operation condition of the equipment. Summing up can integrate the risks of the three dimensions and highlight the comprehensive risk level of the equipment. For example, the speed deviation degree of a certain equipment is 0.2, the load deviation degree is 0.3, and the vibration deviation degree is 0.1. The risk value after summation is 0.6, which intuitively reflects that the overall risk is at a medium to high level. All of them are relative deviations, and the value range is 0 to positive infinity. If the deviation degree of a parameter is 0, it means that there is no risk in this dimension, and it does not affect the summation calculation. If the deviation degree of a parameter is significantly higher than the other two (for example, the load deviation degree is 1.5, which is much higher than the speed and vibration of 0.2), the summation can highlight the core risk and prompt the staff to pay attention to the equipment load problem first. In this embodiment, the multi-dimensional risk indicators are converted into a single comprehensive risk value through simple and intuitive summation operation, which is convenient for construction management personnel to quickly judge the equipment risk. At the same time, the risk value can be directly used for subsequent construction dangerous position analysis, providing a unified quantitative standard for the integration of equipment and structure, position risk, avoiding the analysis obstacles caused by different forms of risk indicators, and ensuring the coherence and accuracy of risk assessment.

[0023] In this embodiment, as shown in Figure 3 , the stress vibration risk 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 value to obtain the water level mutation coefficient; It should be noted that the water conservancy facility structure (such as dam, sluice) has hysteresis to the response of water level change, and the sudden change of water level will cause the stress of structure to change sharply (such as the sudden increase of pressure on the water surface of dam, the disorder of seepage field of dam body), and the water level mutation coefficient can directly judge whether the change is beyond the safe bearing range of structure, and provide hydrological basis for subsequent stress risk analysis. The parameter acquisition process is divided into two steps: one is the collection of water level change rate, and water level monitoring points are uniformly arranged around the water conservancy facility (such as upstream and downstream of dam body, reservoir area), ultrasonic water level meter or float type water level meter is installed at each monitoring point, real-time collection of water level data (unit: m), 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 (unit: m / h) is obtained by dividing the water level difference of adjacent two collection time by time interval, and the absolute value is taken because the sudden rise (such as caused by rainstorm) and sudden drop (such as emergency flood discharge) of water level will cause structure risk, which needs equal attention; The second is to determine the limit value of structure safety water level change rate, which is calculated by finite element structure analysis according to the structure type (concrete dam, earth dam) of water conservancy facility, material strength (such as C30 concrete, silty clay) and hydrological condition (basin flood frequency), for example, the structure safety water level change rate limit value of a certain concrete dam is 0.5 m / h, and the person skilled in the art can obtain the value from the structure safety parameter table of water conservancy facility design file. This embodiment converts the abstract water level change into quantifiable risk coefficient, when the coefficient is greater than 1, it means that the water level change rate exceeds the safety limit value, and the prewarning needs to be started to avoid the structure damage caused by the water level change too fast to be identified, for example, the water level change rate of a certain reservoir is 0.8 m / h, the structure safety water level change rate limit value is 0.5 m / h, and the water level mutation coefficient is 1.6, which indicates that the water level change has exceeded the safety range, and the discharge rhythm needs to be adjusted, and the coefficient provides hydrological risk input for subsequent stress state deterioration degree calculation, so as to ensure that the structure risk analysis is closely related to the actual hydrological condition.

[0024] S32, from the structure stress monitoring data, the maximum stress value of the key structure point of the water conservancy facility in the current monitoring period and the maximum stress value of the key structure point of the water conservancy facility in the last monitoring period are extracted; the difference between the maximum stress value of the key structure point of the water conservancy facility in the current monitoring period and the maximum stress value of the key structure point of the water conservancy facility in the last monitoring period is obtained; the ratio of the stress change amount and the yield strength of the structure material is taken as the basic stress change trend; the basic stress change trend is multiplied with the water level mutation coefficient to obtain the stress state deterioration degree of the key structure point of the water conservancy facility when the water level changes.

[0025] It should be noted that water level change is the main inducement of structural stress change, and stress change trend reflects the deterioration direction of structure stress, and the combination of the two can accurately evaluate the actual impact of water level change on structure stress, and avoid the one-sidedness of only looking at stress or only looking at water level. Parameter acquisition involves multi-source data: first, the determination of key structure points, according to the structure characteristics of water conservancy facilities, the weakest part is selected as the key structure point (such as the middle part of the dam slope, the bottom of the sluice pier, and the side wall of the spillway stilling basin), which will be clearly marked as "key monitoring point" in the design drawing, and the corresponding stress monitoring data can be matched according to the number by the person skilled in the art; second, the collection of the maximum stress value, the strain gauge or optical fiber sensor is pasted on the surface of each key structure point, and the stress data (unit: MPa) is collected in real time, and the monitoring period is set to 12 hours (coordinated with the water level monitoring period), and the maximum stress value is extracted in each period (excluding instantaneous stress peak value), and the time interval between the current and the last period is strictly kept at 12 hours, ensuring the timeliness of stress change calculation; third, the acquisition of the yield strength of the structure material, according to the material type of the key structure point, the standard value is called from the material factory detection report, for example, the yield strength of the material type C30 concrete is 20.1MPa; fourth, the call of water level mutation coefficient, that is, the coefficient value of the corresponding monitoring point calculated in S31. This embodiment uses stress change to calculate, which captures the dynamic evolution characteristics of stress. The static absolute value of stress can only reflect the instantaneous state, while the change rate of stress with time can truly reveal the development trend of structure stress. For example, during the rapid rise of water level, although the current stress value may not have exceeded the safety threshold, if the stress is monitored to increase sharply in a short time, it means that the structure is bearing the load that is accelerating, and there is a potential risk. This dynamic monitoring mechanism overcomes the lag of traditional static evaluation, providing a key time window for early warning. Further, 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 carrying capacity of the respective materials has a unified warning value. Therefore, by dividing the stress change by the yield strength, this embodiment realizes the dimensionless processing of physical quantities, making the stress state of structure components of different materials and different scales comparable. It should be noted that the influence of water level change on structure stress is not a simple linear superposition, but has a significant amplification effect. When the water level is stable, the structure stress change is usually relatively gentle; when the water level changes rapidly, the same degree of stress change often indicates a more serious structure response. The multiplication model captures this nonlinear relationship, for example, the stress change trend of the foundation is 0.15, and the water level mutation coefficient is 0.8, the stress state deterioration degree is 0.12; but if the water level mutation coefficient increases to 1.2 (indicating that the water level change exceeds the safety limit by 20%), the deterioration degree rises to 0.18, accurately reflecting the aggravating effect of water level mutation on stress risk.This coupling analysis method effectively solves the limitations of single-factor evaluation, considering both the mechanical response of the structure itself and the excitation factors of the fluid environment, making the evaluation results closer to the engineering practice.

[0026] In this embodiment, the stress vibration risk analysis strategy in step S3 further includes the following specific steps: S33, from the water flow field change data, extract the current water flow velocity at the key structure point of the water conservancy facility and the design maximum water flow velocity of the water conservancy facility; divide the current water flow velocity by the design maximum water flow velocity to obtain the water flow impact influence coefficient; It should be noted that the impact force of water flow on the structure follows the principle of fluid mechanics, and the greater the speed, the stronger the impact force, which may cause surface wear, vibration intensification and even local damage of the structure. The design maximum water flow velocity is the maximum flow velocity that the structure can withstand in the design stage, and the coefficient quantifies the proportion of the actual flow velocity relative to the design value to determine whether the impact force exceeds the design expectation. The parameter acquisition process is as follows: first, the current water flow velocity is collected. Doppler flow velocity meters are arranged near the key structure point of the water conservancy facility (to avoid the influence of water flow disturbance), and real-time water flow velocity data (unit: m / s) are collected. When collecting, the probe direction of the flow velocity meter should be consistent with the water flow direction, for example, when monitoring the water flow velocity of the sluice pier, the probe should be directed to the incoming flow direction to avoid data deviation caused by angle deviation; second, the design maximum water flow velocity is obtained. According to the function positioning (flood control, irrigation, power generation) of the water conservancy facility, the hydrological observation data (historical maximum flow velocity, flood period flow velocity) of the basin and the structure impact resistance, the design maximum water flow velocity of the water conservancy facility is determined, for example, the design maximum water flow velocity of a sluice is 3 m / s, which is marked in the water power parameter table of the design specification. In this embodiment, the water flow impact risk is quantified as a direct coefficient value. When the coefficient is less than 1, it means that the water flow velocity is within the design range, and the impact risk is low; when the coefficient is greater than 1, it means that the water flow velocity is out of standard, and the structure impact damage should be paid attention to, for example, the water flow velocity at the sluice pier during the reservoir flood discharge is 3.6 m / s, the design maximum water flow velocity is 3 m / s, and the water flow impact influence coefficient is 1.2, which indicates that the impact risk is high, and the vibration monitoring of the sluice pier should be strengthened. At the same time, this coefficient provides an input of water flow impact dimension for the calculation of vibration state deterioration degree, ensuring that the vibration risk analysis is closely related to the actual water flow condition, and avoiding the underestimation of vibration risk caused by ignoring the water flow impact.

[0027] S34, extract the vibration acceleration root mean square value of the key structure point of the water conservancy facility from the structural stress monitoring data; subtract the vibration acceleration root mean square value from the base vibration acceleration value of the key structure point of the water conservancy facility under static load to obtain the net vibration acceleration; take the ratio of the net vibration acceleration and the gravity acceleration as the base relative vibration intensity; multiply the base relative vibration intensity by the water flow impact coefficient to obtain the vibration state deterioration degree of the key structure point of the water conservancy facility under water flow impact; It should be noted that the vibration acceleration root mean square value includes the base vibration under static load (such as construction equipment operation, environmental wind vibration), and the net vibration acceleration can eliminate these irrelevant disturbances and only reflect the additional vibration caused by water flow impact; the gravity acceleration as a standard reference value can standardize the net vibration acceleration, so that the vibration intensity of different structure points is comparable; and the water flow impact coefficient is multiplied because water flow impact is the direct cause of vibration intensification, and the multiplication of the two can reflect the causal relationship between stronger impact and higher vibration risk. The parameter acquisition process is as follows: first, the vibration acceleration root mean square value is collected, a piezoelectric acceleration sensor is installed at the key structure point, the collection frequency is set to 100 Hz (to ensure that high-frequency vibration is captured), and the root mean square value of the vibration acceleration within 10 minutes is calculated by a data processing software, which can reflect the stability and intensity of vibration and avoid misjudgment caused by instantaneous peak value; second, the static load base vibration acceleration value is obtained, the same acceleration sensor is used to collect and calculate the root mean square value during the static load period when the water conservancy facility is not impacted by water flow and no construction equipment is operated, which is used as a reference value to exclude the influence of daily environmental vibration, for example, the static load base vibration acceleration value of a certain pier is 0.05; third, the gravity acceleration value is 9.8, which is the international standard value; fourth, the water flow impact coefficient is called, that is, the water flow impact coefficient of the corresponding structure point calculated in step S33. Through the calculation of the net vibration acceleration, this embodiment accurately isolates the vibration risk caused by water flow impact, avoids misjudging environmental vibration as impact vibration, for example, the vibration acceleration root mean square value of a certain structure is 0.3, and after deducting the static load base value 0.05, the net vibration acceleration is 0.25, which can better reflect the actual impact vibration; the standardization of the relative vibration intensity makes the vibration risk of different structure points directly comparable, for example, the relative vibration intensity of the dam body and the pier can be compared by comparing the ratio of the gravity acceleration; and the multiplication with the water flow impact coefficient makes the vibration state deterioration degree reflect the influence degree of water flow impact, for example, the impact coefficient is 1.2, the relative vibration intensity is 0.025, the multiplication is 0.03, which directly reflects the cooperative risk of impact and vibration, and provides reliable data of vibration dimension for subsequent comprehensive evaluation of stress vibration dangerous state.

[0028] S35, the stress state deterioration degree of the key structure point of the water conservancy facility when the water level changes and the vibration state deterioration degree when the water flow impacts are arithmetically averaged, and the arithmetically averaged result is taken as the stress vibration danger state of the key structure point of the water conservancy facility under the water flow field change.

[0029] It should be noted that stress deterioration may cause instantaneous cracking of the structure (such as cracks in the concrete pier due to stress exceeding the yield strength), and vibration deterioration may cause fatigue damage of the structure (such as internal damage accumulation of the dam body due to long-term vibration), both of which pose a considerable threat to the safety of the water conservancy facility structure, and the arithmetic mean can balance the weights of both, avoiding the neglect of a certain dimension. The risk of the structure under the water flow field is integrated into a single comprehensive danger state value from the two isolated dimensions of stress and vibration in this embodiment, so that construction management personnel can quickly judge the stress vibration danger state; at the same time, the stress vibration danger state is directly related to the corresponding construction sub-area, providing risk input at the structure level for subsequent construction danger position analysis, ensuring that the integrated analysis of equipment risk, position risk and structure risk has a unified quantitative standard, avoiding evaluation confusion caused by different risk indicator dimensions, and thus comprehensively reflecting the structural safety condition of the water conservancy facility under the influence of the water flow.

[0030] In this embodiment, the construction danger position analysis strategy in step S4 includes the following specific steps: S41, divide the water conservancy facility construction site into multiple construction sub-regions according to the number of key structure points of the water conservancy facility, etc. and ensure that the key structure points of the water conservancy facility are evenly distributed in each construction sub-region; it should be noted that the range of the water conservancy facility construction site is usually large, and if the overall assessment is performed, the risk distribution will be blurred, and the equal-area division can ensure that the assessment base of each sub-region is consistent, avoiding the risk of unbalanced weight caused by the size difference between regions; the uniform distribution of key structure points can ensure that each sub-region covers the core of the structure risk, avoiding the situation that a sub-region has no key structure points and ignores the impact on the surrounding structure, or a sub-region has too many structure points, resulting in concentrated risk but not subdivided. Among them, the determination of the number of key structure points, the number and quantity of key structure points are extracted from the water conservancy facility design drawings or the previous structure monitoring scheme, for example, a certain dam project has 12 key structure points; the measurement of the total area of the construction site, the boundary coordinates (such as the coordinates of the east, west, south and north four vertices) of the construction site are collected by the GPS positioning instrument, and the total area is calculated in the GIS map software, if there are rivers, roads and other non-construction areas in the site, the area of these areas needs to be deducted to obtain the actual construction area; the calculation of the area of the sub-region, the actual construction area is divided by the number of key structure points to obtain the area of each sub-region, for example, the actual construction area is 12000m², and there are 12 structure points, so the area of each sub-region is 1000m²; the fourth is the division and verification of the sub-region, the equal-area polygon sub-region is drawn on the GIS map according to the site terrain boundary (such as the construction fence and the river edge), and it is ensured that each sub-region contains only one structure point; the standardized sub-region division in this embodiment enables the subsequent risk assessment to be carried out in a unified unit, and the risk value of each sub-region is comparable, avoiding the risk assessment imbalance caused by the difference in the size of the region; the uniform distribution of key structure points ensures that the risk assessment of each sub-region is closely related to the structure safety, avoiding the risk assessment blind area, for example, if a sub-region does not contain a key structure point, the vibration influence of the construction equipment in this region on the distant structure may be ignored, and the uniform distribution enables the assessment of each sub-region to focus on the structure safety, providing a precise spatial unit basis for the subsequent dangerous position identification.

[0031] S42, based on the construction equipment in the next construction stage reaching the construction sub-region for construction, extracting the construction equipment operation state risk, the construction position of the construction equipment in the next construction stage reaching the construction sub-region for construction, and the minimum distance between the construction position and the key structure point; It should be noted that the operation risk of the construction equipment determines the safety level of the equipment itself, and the distance between the equipment and the key structure point determines the potential impact of the construction on the structure (such as equipment vibration transmission and collision risk), and the combination of the two can comprehensively reflect the double risks of the equipment during construction in a specific sub-region, avoiding ignoring the structure impact by only looking at the equipment risk, or ignoring the equipment hidden dangers by only looking at the distance. The parameters are obtained based on the construction plan and spatial data: first, the determination of the next stage construction equipment list, which is determined by the construction technology department according to the construction progress plan (such as network diagram, cross diagram), to clearly determine the construction task of each sub-region in the next stage (such as sub-region 1 for dam pouring, sub-region 2 for gate installation), and match the corresponding construction equipment (such as sub-region 1 needs concrete pump truck, vibrating rod, sub-region 2 needs crane, electric welder), the list needs to include equipment number, model and operation period; second, the extraction of equipment operation state risk, the corresponding equipment operation state risk value is retrieved from S23 according to the equipment number, if there are multiple equipment in a sub-region (such as sub-region 1 has 2 concrete pump trucks), the operation state risk of each equipment needs to be extracted; third, the calculation of the distance between the construction position and the key structure point, the coordinates of the working point position of the equipment in the sub-region are obtained from the construction plan drawing, and the coordinates of the key structure point in the sub-region are obtained from the design drawing. The distance between the equipment position and the structure point is calculated by the Euclidean distance formula, and the minimum value is taken as the minimum distance (unit: m), because the minimum distance can best reflect the closest contact between the equipment and the structure, the closer the distance, the greater the impact of the construction on the structure, for example, a device has 3 working point positions, the distances to the structure point are 6m, 5m and 7m, and the minimum distance is 5m. This embodiment provides basic data of two dimensions of equipment and position for risk assessment of each sub-region, the equipment operation state risk reflects the safety hidden danger of the equipment itself, and the minimum distance reflects the spatial impact of the construction on the structure, both of which are important parts of the sub-region risk. If any data is missing, the risk assessment may be one-sided, for example, a device with low risk is only 2m away from the structure point (less than the safe distance), which still needs to be evaluated for high position risk; at the same time, these data provide direct input for subsequent position risk degree analysis and comprehensive hazard value calculation, ensuring that the risk assessment can be progressive and logically coherent.

[0032] S43, based on the minimum distance between the construction equipment and the key structure point of the water conservancy facility, the risk degree of the construction position in the next construction stage is analyzed; specifically, the minimum distance between the construction position and the key structure point is divided by the safe operation distance of the construction equipment to obtain the safety coefficient of the construction position; the reciprocal of the safety coefficient of the construction position is obtained to obtain the risk degree of the construction position in the next construction stage.

[0033] It should be noted that the safe operation distance of the construction equipment is a "safety threshold" specified in the industry specification or equipment manual, which ensures that the structure is not affected by vibration, collision and the like during equipment construction, and the safety factor is greater than 1, indicating that the actual distance is greater than the safety distance, and the safety state is in a safe state; The reason for taking the reciprocal is that the smaller the safety factor, the higher the position risk, and the reciprocal can convert the safety degree into the risk degree in the opposite direction, so that the size of the risk value is consistent with the actual safety condition, which conforms to the intuitive cognition of risk assessment. In this embodiment, the determination of the safe operation distance of the construction equipment is based on the type of equipment (large equipment such as a crane, small equipment such as a vibrating rod) and the type of structure (concrete structure, soil structure), and reference is made to the "General Safety Technical Specification for Water Conservancy and Hydropower Engineering Construction" and the equipment operation manual. For example, the safe operation distance of a large tower crane and a concrete dam body is 5m, and the safe operation distance of a small vibrating rod and a soil dam is 2m. If the equipment needs to be operated at a high altitude (such as a crane on the dam top), the safe operation distance needs to be appropriately increased (such as to 6m); secondly, the minimum distance is called, that is, the minimum distance between the equipment construction position and the key structure point calculated in S42, which needs to ensure that the units are consistent (both in m); thirdly, special situation processing, if the minimum distance is 0 (the equipment is adjacent to the structure point), the safety factor is 0, and the risk degree is infinite, which indicates a high risk and needs to be adjusted immediately. Construction position; if the minimum distance is much larger than the safe operation distance (such as 10m, safety factor 2), the risk degree is 0.5, which indicates a low risk. In this embodiment, the spatial risk of the equipment construction position is quantified into a specific numerical value through a standardized calculation method, so that the position risk of different sub-regions and different equipment is comparable; At the same time, the risk degree value can be directly integrated with the equipment operation risk and the structure stress vibration risk to provide a quantitative basis for the position dimension for subsequent comprehensive risk value calculation, avoid the fuzzy evaluation caused by the unquantifiable position risk, ensure that the risk assessment of each sub-region covers the spatial influencing factors, and improve the comprehensiveness and accuracy of the risk assessment.

[0034] In this embodiment, the construction hazard position analysis strategy in step S4 further includes the following specific steps: S44, extract the stress vibration hazard state of the water conservancy facility key structure point corresponding to the construction sub-region under the change of the water flow field, and extract the construction equipment operation state risk of the next construction stage to reach the construction sub-region for construction and the risk degree of the next construction stage construction position; It should be noted that the stress vibration risk state reflects the risk of the structure itself under the influence of water flow, the equipment operation state risk reflects the safety hidden danger of the construction equipment, and the position risk degree reflects the spatial influence of the equipment construction on the structure. The three together constitute the "structure-equipment-position" risk system of the sub-regional construction. The lack of any dimension will lead to incomplete risk assessment. For example, only looking at equipment risk and ignoring structure risk will miss the safety hidden danger of the structure itself; only looking at structure risk and ignoring position risk will miss the additional influence of construction on the structure. In the extraction of the stress vibration risk state in this embodiment, according to the correspondence between the sub-regions and the key structure points in S41, the stress vibration risk state value of the corresponding structure point is called from S35. In the extraction of the equipment operation state risk in this embodiment, according to the equipment list of the sub-region in S42, the operation state risk value of the corresponding equipment is called from S23. If there are multiple devices in the sub-region, the maximum value of the operation state risk value is taken as the device risk value of the sub-region, because the maximum value can reflect the highest device risk in the sub-region. In the extraction of the position risk degree in this embodiment, according to the equipment construction position in S42, the position risk degree value of the corresponding sub-region is called from S43. If there are multiple device positions in the sub-region, the maximum value is taken as the position risk value of the sub-region, because the highest position risk determines the spatial risk level of the sub-region. This embodiment gathers complete risk data for each construction sub-region, ensuring that the subsequent comprehensive risk value calculation can cover the three key dimensions of structure, equipment, and position, avoiding underestimation or overestimation of risk due to data loss; making each sub-region correspond to only one set of risk data, facilitating staff to quickly compare risks between regions, and laying a data foundation for comprehensive risk value calculation.

[0035] S45, the stress vibration risk state, the construction equipment operation state risk and the next construction stage construction position risk degree are arithmetically averaged to obtain the comprehensive construction risk value of the construction sub-region; It should be noted that the stress vibration risk of the structure is related to the safety of the water conservancy facility itself, the equipment operation risk is related to the safety of the construction equipment and personnel, and the position risk is related to the mutual influence of construction and structure. The importance of the three to construction safety is not in the first place, and the arithmetic mean can balance the weights of the three to avoid risk imbalance caused by too high weight of a certain dimension, and intuitively reflect the overall risk level of the sub-region.

[0036] S46, obtaining the comprehensive construction risk value of all construction sub-regions, and taking the construction sub-region corresponding to the maximum value in the comprehensive construction risk value of all construction sub-regions as the dangerous position mark of the water conservancy facility construction site in the next construction stage.

[0037] It should be noted that in the case of limited construction resources (such as limited reinforcement materials and limited number of maintenance personnel), the highest-risk sub-area is identified first, which allows management personnel to concentrate resources on the area that needs the most control, avoiding the dispersion of resources in low-risk areas leading to the loss of control in high-risk areas, in line with the principle of maximizing risk control efficiency. This embodiment retrieves the comprehensive risk value of each sub-area from S45 to establish a "sub-area number-comprehensive risk value" correspondence table; sort the comprehensive risk values from large to small using data sorting software to find the sub-area number with the largest value, and if there are multiple sub-areas with the same risk value and the maximum value (such as sub-area 3 and sub-area 5, both with a value of 0.9), these sub-areas are all identified as dangerous locations; retrieve the detailed information of the sub-area from the GIS map according to the sub-area number, including the location boundary (coordinate range), the number of key structure points contained, the list of construction equipment, and the current risk dimension composition, to form a dangerous location identification report to clearly identify the risk core and control focus of the area. This embodiment provides a clear target area for safety management in the next construction phase, avoiding management personnel 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 developed, such as reinforcing key structure points in the area, maintaining construction equipment, and adjusting the location of equipment construction. At the same time, dangerous location identification can provide a basis for construction plan optimization, such as postponing construction tasks in the dangerous area until the risk is reduced, or increasing the frequency of safety monitoring to ensure the safety of structures and personnel during construction, effectively reducing the probability of accidents.

[0038] In this embodiment, the reinforcement scheme decision strategy in step S5 includes the following specific contents: S51, obtain the water conservancy facility key structure points in the water conservancy facility construction site dangerous location identification of the next construction phase, and extract the structure type corresponding to the water conservancy facility key structure points from the water conservancy facility structure diagram; It should be noted that the stress characteristics, weak links and applicable reinforcement methods of different structural types of water conservancy facilities (such as concrete gate piers, dam bodies, spillway reinforced concrete side walls) are significantly different, for example, concrete structures need to be strengthened, soil structures need to be anti-seepage and anti-sliding, and only by identifying the structure type can targeted reinforcement schemes be selected to avoid reinforcement failure caused by mismatch between the scheme and the structure characteristics. First, the embodiment obtains the key structure point number and name (such as "gate pier-1#" and "dam body-3#") contained in the region from the S46 hazard location identification report; second, the structure diagram provided by the design unit is obtained, including the overall layout diagram, the structure detail drawing (such as the gate pier section drawing, the dam body cross section drawing) and the material table, the corresponding structure part is located in the structure diagram according to the structure point number, and the structure type description annotated on the drawing is viewed, for example, "1# gate pier: C30 reinforced concrete structure, height 15m, width 3m" "3# dam body: silty clay dam, dam crest elevation 100m, dam slope ratio 1:2.5"; finally, in addition to the structure type, the embodiment can also obtain the material strength (such as concrete strength grade, soil compaction degree) of the structure, size parameters (such as structure thickness, height) and current damage condition (such as whether there are cracks, seepage) from the drawing. The embodiment accurately extracts the structure type and characteristics, provides targeted information for subsequent reinforcement scheme selection, avoids reinforcement scheme deviation caused by incorrect structure type judgment, for example, misjudging a soil dam as a concrete dam and selecting a reinforcement method of pasting carbon fiber cloth, which not only cannot solve the seepage problem of the soil dam, but also causes material waste; at the same time, the supplementary extraction of structure characteristics can make the subsequent selected reinforcement scheme more suitable for the actual condition of the structure, improve the reinforcement effect, for example, for high-strength concrete structures, high-strength grouting materials are selected to ensure that the structure strength meets the standard after reinforcement.

[0039] S52, according to the structure type of the key structure point of the water conservancy facility, selecting a reinforcement method corresponding to the structure type of the key structure point of the water conservancy facility from a standard reinforcement scheme database.

[0040] It should be noted that the standard reinforcement scheme database integrates industry standards, engineering practice cases and scientific research results, contains mature reinforcement methods of different structure types, which are scientifically, safely and feasibly verified by long-term practice, can avoid technical risks caused by self-design of staff, and greatly shorten the scheme decision-making time. Parameter acquisition and scheme selection need to be carried out in stages: first, the construction of standard reinforcement scheme database, collecting and sorting domestic and foreign water conservancy facility reinforcement cases (such as concrete structure reinforcement cases, earth dam reinforcement cases), recommended schemes of industry standards such as “Technical Code for Reinforcement of Hydraulic Engineering”, and storing the corresponding reinforcement schemes according to the structure type classification, searching the corresponding structure type classification in the standard reinforcement scheme database, screening out all applicable reinforcement methods (such as sticking carbon fiber cloth, wrapping steel, high-pressure jet grouting), and then combining the specific risk conditions (such as high stress state deterioration degree, preferentially selecting methods with good strength improvement effect) and construction conditions (such as whether the site has a large equipment operation space) of the dangerous position to determine the final reinforcement method, for example, a pier stress deterioration degree is 0.8, and the site space is sufficient, then the wrapping steel reinforcement method can be selected; the embodiment selects the reinforcement scheme through the standard database, ensures the scientificity and reliability of the scheme, and avoids scheme failure caused by lack of experience; at the same time, the scheme selection process combines the site risk and construction conditions, so that the scheme has good operability, for example, the site cannot use large hoisting equipment, so the wrapping steel scheme is excluded and the carbon fiber cloth sticking scheme is selected; the finally determined reinforcement scheme can solve the structure risk of the dangerous position, for example, for the structure with high vibration deterioration degree, the reinforcement method with vibration reduction effect (such as adding damper) is selected, to ensure the structure safety of the dangerous position in the next construction stage, and ensure the smooth progress of water conservancy facility construction.

[0041] Embodiment 2

[0042] As shown in Figure 4 , the embodiment provides a risk early warning system based on multi-modal data driving of construction site, which comprises: A multi-modal data acquisition module is used to acquire construction equipment operation parameters and construction equipment construction position data of the water conservancy facility construction site, and simultaneously acquire structural stress monitoring data and water flow field change data of the water conservancy facility in the construction process; An equipment risk analysis module is used to import the construction equipment operation parameters into a construction equipment operation state risk analysis strategy to perform operation state risk analysis, and obtain the construction equipment operation state risk; A stress vibration analysis module is used to import the structural stress monitoring data and water flow field change data of the water conservancy facility in the construction process into a stress vibration danger analysis strategy to perform stress vibration danger analysis, and obtain the stress vibration danger state of the water conservancy facility under the water flow field change; The dangerous positioning module is configured to input the construction equipment operation state risk, the water conservancy facility stress vibration dangerous state under the water flow flow field change and the construction equipment construction position data into a construction dangerous position analysis strategy to analyze the dangerous position of the next construction stage, and obtain the dangerous position mark of the water conservancy facility construction site in the next construction stage. The reinforcement scheme decision module is configured to input the dangerous position mark of the water conservancy facility construction site in the next construction stage into a reinforcement scheme decision strategy to analyze the reinforcement scheme of the dangerous position of the water conservancy facility construction site in the next construction stage. The control module is configured to control the operation of the multi-modal data acquisition module, the equipment risk analysis module, the stress vibration analysis module, the dangerous positioning module and the reinforcement scheme decision module.

[0043] The above steps of implementing the functions of the parameters and the unit modules in the risk early warning system based on the multi-modal data of the construction site according to the embodiments of the present application can refer to the parameters and the steps in the above embodiments of the risk early warning method, and details are not repeated here.

[0044] Each of the embodiments in the present application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each of the embodiments mainly describes the differences from other embodiments. In particular, the Internet of Things device and medium embodiments are basically similar to the method embodiments, and thus are described simply, and the related parts can refer to the description of the method embodiments.

[0045] The system and the medium provided by the embodiments of the present application are one-to-one corresponding to the method, and thus the system and the medium also have the similar beneficial technical effects as the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and the medium are not repeated here.

[0046] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media containing computer usable program code (including but not limited to disk storage, CD-ROM, optical storage, etc.).

[0047] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks. The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks.

[0048] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks. The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks.

[0049] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0050] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory, non-volatile memory, such as read-only memory (ROM), EPROM, and / or flash memory, etc. The memory is an example of computer readable media.

[0051] Computer readable media includes permanent and non-permanent, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules 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 technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer readable media does not include transitory media, such as modulated data signals and carrier waves.

[0052] It is also to be noted that the terms "comprising", "comprises" or "comprised of" when used in this specification are not to be interpreted in an excluding nature, such that a process, method, article or apparatus including additional steps, processes, articles or apparatuses is not within the scope of the claims. The terms "including", "comprising" or "comprises" and / or "having" are used herein so as to encompass the potential addition of one or more other elements.

[0053] The above embodiments are only used to illustrate the present application, but not to limit it. Instead of the above, various modifications and changes can be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application should be included in the scope of claims of the present application.

Claims

1. A risk early warning method based on construction site multi-modal data driving, characterized in that, The method comprises the following steps: S1, obtaining construction equipment operation parameters and construction equipment construction position data of a water conservancy facility construction site, and simultaneously obtaining structural stress monitoring data and water flow field change data of the water conservancy facility in the construction process; S2, importing the construction equipment operation parameters into a construction equipment operation state risk analysis strategy to perform operation state risk analysis, and obtaining construction equipment operation state risk; S3, importing the structural stress monitoring data and the water flow field change data into a stress vibration danger analysis strategy to perform stress vibration danger analysis, and obtaining stress vibration danger states of the water conservancy facility under the water flow field change; S4, importing the construction equipment operation state risk, the stress vibration danger states of the water conservancy facility under the water flow field change, and the construction equipment construction position data into a construction danger position analysis strategy to perform construction danger position analysis of a next construction stage, and obtaining a dangerous position mark of the water conservancy facility construction site in the next construction stage; S5, importing the dangerous position mark of the water conservancy facility construction site in the next construction stage into a reinforcement scheme decision strategy to perform reinforcement scheme analysis, and obtaining a reinforcement scheme of the dangerous position of the water conservancy facility construction site in the next construction stage.

2. The construction site multi-modal data driven risk early warning method according to claim 1, characterized in that, The construction equipment operation state risk analysis strategy in the step S2 specifically comprises: S21, extracting equipment operation speed, equipment operation load and equipment operation vibration amplitude of the construction equipment from the construction equipment operation parameters; S22, analyzing the equipment operation speed deviation degree based on the equipment operation speed, analyzing the equipment load deviation degree based on the equipment operation load, and analyzing the equipment operation vibration deviation degree based on the equipment operation vibration amplitude; S23, summing the equipment operation speed deviation degree, the equipment load deviation degree and the equipment operation vibration deviation degree, and taking the summing result as the construction equipment operation state risk.

3. The construction site multi-modal data driven risk early warning method according to claim 2, wherein, The stress vibration danger analysis strategy in the step S3 comprises the following specific steps: S31, extracting a water level change rate from the water flow field change data, and dividing the absolute value of the water level change rate by a structural safety water level change rate limit value to obtain a water level mutation coefficient; S32, extracting a maximum stress value of a key structure point of the water conservancy facility in a current monitoring period and a maximum stress value of the key structure point of the water conservancy facility in a previous monitoring period from the structural stress monitoring data, and obtaining a stress change amount by subtracting the maximum stress value of the key structure point of the water conservancy facility in the current monitoring period from the maximum stress value of the key structure point of the water conservancy facility in the previous monitoring period; taking a ratio of the stress change amount to a yield strength of a structural material as a basic stress change trend, and multiplying the basic stress change trend by the water level mutation coefficient to obtain a stress state deterioration degree of the key structure point of the water conservancy facility when the water level changes.

4. The construction site multi-modal data driven risk early warning method according to claim 3, wherein, The stress vibration danger analysis strategy in the step S3 further comprises the following specific steps: S33, extracting a current water flow speed at the key structure point of the water conservancy facility and a design maximum water flow speed of the water conservancy facility from the water flow field change data, and dividing the current water flow speed by the design maximum water flow speed to obtain a water flow impact influence coefficient; S34, extract the vibration acceleration root mean square value of the key structure point of the water conservancy facility from the structural stress monitoring data; subtract the vibration acceleration root mean square value from the base vibration acceleration value of the key structure point of the water conservancy facility under static load to obtain the net vibration acceleration; take the ratio of the net vibration acceleration and the gravity acceleration as the base relative vibration intensity; multiply the base relative vibration intensity by the water flow impact coefficient to obtain the vibration state deterioration degree of the key structure point of the water conservancy facility under water flow impact; S35, the stress state deterioration degree of the key structure point of the water conservancy facility under water level change and the vibration state deterioration degree under water flow impact are arithmetically averaged, and the arithmetically averaged result is taken as the stress vibration danger state of the key structure point of the water conservancy facility under water flow field change.

5. The construction site multi-modal data driven risk early warning method according to claim 3, wherein, The construction dangerous position analysis strategy in step S4 includes the following specific steps: S41, the construction site of the water conservancy facility is divided into multiple construction sub-regions according to the number of key structure points of the water conservancy facility, and the key structure points of the water conservancy facility are evenly distributed in each construction sub-region; S42, based on the construction equipment that reaches the construction sub-region for construction in the next construction stage, the construction equipment operation state risk, the minimum distance between the construction position of the construction equipment in the next construction stage and the key structure point when the construction equipment reaches the construction sub-region for construction, is extracted; S43, based on the minimum distance between the construction equipment and the key structure point, the risk degree of the construction position in the next construction stage is analyzed; specifically, the minimum distance between the construction position and the key structure point is divided by the safe operation distance of the construction equipment to obtain the construction position safety coefficient; the reciprocal of the construction position safety coefficient is taken to obtain the risk degree of the construction position in the next construction stage.

6. The construction site multi-modal data driven risk early warning method according to claim 5, wherein, The construction dangerous position analysis strategy in step S4 further includes the following specific steps: S44, the stress vibration danger state of the key structure point of the water conservancy facility corresponding to the construction sub-region under the water flow field change is extracted, and the construction equipment operation state risk and the risk degree of the construction position in the next construction stage are extracted; S45, the stress vibration danger state, the construction equipment operation state risk and the risk degree of the construction position in the next construction stage are arithmetically averaged to obtain the comprehensive construction danger value of the construction sub-region; S46, obtain the comprehensive construction danger value of all construction sub-regions, and take the construction sub-region corresponding to the maximum value in the comprehensive construction danger value of all construction sub-regions as the dangerous position mark of the water conservancy facility construction site in the next construction stage.

7. The construction site multi-modal data driven risk early warning method according to claim 6, wherein, The reinforcement scheme decision strategy in step S5 includes the following specific contents: S51, obtain the key structure point of the water conservancy facility in the dangerous position mark of the water conservancy facility construction site in the next construction stage, and extract the structure type corresponding to the key structure point of the water conservancy facility from the water conservancy facility structure diagram; S52, according to the structure type corresponding to the key structure point of the water conservancy facility, select the reinforcement method corresponding to the structure type of the key structure point of the water conservancy facility from the standard reinforcement scheme database.

8. A risk early warning system based on multi-modal data driving of construction site, which is realized based on the risk early warning method based on multi-modal data driving of construction site in any one of claims 1-7, characterized in that, The system comprises: The multi-modal data acquisition module is configured to acquire construction equipment operation parameters and construction equipment construction position data of a water conservancy facility construction site, and simultaneously acquire structural stress monitoring data and water flow field change data of the water conservancy facility in a construction process; The equipment risk analysis module is configured to import the construction equipment operation parameters into a construction equipment operation state risk analysis strategy to perform operation state risk analysis, and obtain a construction equipment operation state risk; The stress vibration analysis module is configured to import the structural stress monitoring data and the water flow field change data of the water conservancy facility in the construction process into a stress vibration danger analysis strategy to perform stress vibration danger analysis, and obtain a stress vibration danger state of the water conservancy facility under water flow field change; The danger positioning module is configured to import the construction equipment operation state risk, the stress vibration danger state of the water conservancy facility under water flow field change, and the construction equipment construction position data into a construction danger position analysis strategy to perform next-stage construction danger position analysis, and obtain a next-stage water conservancy facility construction site danger position mark; The reinforcement scheme decision module is configured to import the next-stage water conservancy facility construction site danger position mark into a reinforcement scheme decision strategy to perform reinforcement scheme analysis, and obtain a reinforcement scheme for the next-stage water conservancy facility construction site danger position; The control module is configured to control operation of the multi-modal data acquisition module, the equipment risk analysis module, the stress vibration analysis module, the danger positioning module, and the reinforcement scheme decision module.

Images