Monitoring and early warning method and system for urban railway engineering construction

Abstract

The invention relates to a monitoring and early warning method and system for urban railway engineering construction, and solves the problems of inaccurate risk assessment, lack of systematicness and unscientific project sorting in urban railway engineering construction. The method comprises the following steps: analyzing and determining an effective risk degree of a target project according to a mapping relation between a proportion interval and a risk degree and an influence proportion of risk assessment related parameters at different positions, wherein the proportion interval is a time proportion in which monitoring data of different mark parameters do not fall into a preset safety data range in a preset time range, and the influence proportion of the risk assessment related parameters at different positions; and sorting the items from top to bottom according to the effective risk degrees of the analyzed and determined target items from high to low, and displaying a sorting result. The method has the following effects: through multi-parameter monitoring, accurate analysis of the risk degree and reasonable sorting display, the accuracy and scientificity of urban railway engineering construction risk monitoring and early warning are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban rail engineering construction, and in particular to a monitoring and early warning method and system for urban rail engineering construction. Background Art

[0002] Urban rail construction occupies an important position in the modern transportation system. Its construction quality and safety are directly related to the public's travel safety and the development of the city. In the process of urban rail construction, accurate risk monitoring and early warning are crucial. Parameters such as vibration, strain, and settlement displacement are key indicators for assessing project risks. Changes in these parameters can reflect the stability and safety of the engineering structure.

[0003] At present, in the monitoring and early warning of urban rail engineering construction, traditional monitoring equipment is usually used to monitor parameters such as vibration, strain, and settlement displacement separately. When a parameter is monitored to exceed the preset threshold range, a corresponding alarm is issued. For example, for the monitoring of settlement displacement, when the settlement amount at a certain location exceeds a certain value, the system will issue an alarm to prompt relevant personnel to check and deal with it. In terms of risk assessment, it mainly relies on experience judgment and simple data analysis methods. The ranking and display of projects are generally based on the severity of a single parameter or a simple comprehensive evaluation result, which lacks systematicity and scientificity.

[0004] The current treatment scheme has many drawbacks. First, each parameter is monitored separately, and the correlation between different parameters is not considered, making it difficult to comprehensively and accurately assess the overall risk of the project. Second, empirical judgment and simple data analysis methods are highly subjective, lack accuracy and reliability, and are prone to misjudgment and omission. Furthermore, the project ranking and display method based on a single parameter or simple comprehensive evaluation results cannot fully reflect the actual risk status of the project and cannot provide strong support for decision-making. Summary of the invention

[0005] In order to effectively improve the accuracy and scientificity of risk monitoring and early warning for urban rail engineering construction, the present application provides a monitoring and early warning method and system for urban rail engineering construction.

[0006] In the first aspect, the present application provides a monitoring and early warning method for urban rail engineering construction, which adopts the following technical solution: A monitoring and early warning method for urban rail engineering construction, comprising: Obtain all monitoring data of risk assessment related parameters of the target project, wherein the related parameters include vibration, strain and settlement displacement, and define the number of target projects to be at least two; According to the preset safety data range of risk assessment related parameters at different locations of the project and all monitoring data of risk assessment related parameters of the target project, analyze and obtain the parameter categories and locations of the target project monitoring data that do not fall within the preset safety data range, define the analyzed and obtained locations as marked locations, and define the parameter categories at the marked locations that do not fall within the preset safety data range as marked parameters; According to the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations, the effective risk level of the target project is analyzed and determined; According to the effective risk level of the target projects determined through analysis, the projects are sorted from top to bottom from high to low, and the sorting results are displayed.

[0007] By adopting the above technical solution, the risk situation of different target projects can be analyzed according to the importance of disaster-related parameters of different engineering projects and whether the disaster-related parameters are within the preset range, and a display can be made based on the risk situation, which is conducive to relevant personnel to promptly understand the projects with more serious risks.

[0008] Optionally, the analysis to determine the effective risk level of the target project includes: Analyze whether the target projects are equipped with regular inspection personnel; If not, the effective risk of the target project is determined based on the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations; If yes, then obtain the inspection results of the inspectors within the preset time range, including problem records; Analyze the risk level of the target project obtained by the inspection based on the mapping relationship between the problems and risks contained in the inspection results and the weight ratio of the problems; Based on the mapping relationship between the results of the inspections by regular inspection personnel and the weight coefficient, the effective risk of the target project obtained by the inspections without regular inspection personnel, and the risk of the target project obtained by the inspections, the effective risk of this target project is analyzed and obtained.

[0009] By adopting the above technical solution, it is further taken into consideration that the risks of projects are different when there are inspectors and when there are no inspectors. For projects with inspectors, the results of the inspections will be comprehensively considered to determine the risk level of the project, making the risk analysis more reasonable.

[0010] Optionally, the weight ratio of the question is obtained by: Get the frequency of occurrence of the same problem within a preset time range; According to the frequency of occurrence of the same problem within a preset time range, the probability of occurrence of different problems is analyzed, and the probability of occurrence of the problem is used as the weight of the corresponding problem.

[0011] By adopting the above technical solution, the probability of occurrence of the problem is comprehensively considered as a weight, which has better adaptability than the original fixed setting.

[0012] Optionally, the analysis to determine the effective risk level of the target project includes: Obtain the mapping relationship between the time proportion of the monitoring data of the marked parameters within the preset time range that does not fall within the preset safety data range and the problem distribution probability, and the success rate of the emergency response team within the preset distance range of the target project in handling different emergency problems, and analyze and obtain the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem; According to the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations, the effective risk level of the target project is analyzed and determined; The effective risk level of the target project is analyzed and determined based on the effective risk level of the target project and the effective failure rate of the emergency response team located within a preset distance range of the target project in handling this emergency problem.

[0013] By adopting the above technical solution and comprehensively considering the impact of the handling capabilities of the emergency response teams around the target project on the risk level, the risk analysis can be made more reasonable.

[0014] Optionally, analyzing and obtaining the effective success rate of the emergency response team within the preset distance range of the target project in handling the emergency problem includes: Obtain the result of setting the inspection personnel for the target project, wherein the result of setting the inspection personnel for the target project includes setting the inspection personnel for the inspection and not setting the inspection personnel for the inspection; If the result of the inspection by the inspection personnel set for the target project is that the inspection by the inspection personnel is not set, then according to the mapping relationship between the result of the inspection by the inspection personnel not set and the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem, the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem is analyzed and determined; If the result of setting up inspection personnel for the target project is setting up inspection personnel for inspection, the inspection cycle and inspection content are obtained, and based on the mapping relationship between the inspection cycle, inspection content and the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem, the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem is analyzed and determined.

[0015] By adopting the above technical solution, it is comprehensively considered that the success of the emergency response team's handling is also related to whether patrol personnel are arranged. Through the analysis of the situation set by the patrol personnel, the analysis of the effective success rate of the emergency response team in handling this emergency problem can be made more accurate and reasonable.

[0016] Optionally, the projects are sorted from top to bottom according to the effective risk of the target projects determined by the analysis, and the sorting results are displayed, including: Acquire a result of setting a camera device for a target project, wherein the result of setting a camera device for a target project includes setting a camera device and not setting a camera device; If the result of setting the camera device for the target project is to set the camera device, then obtaining a live image of the target project through the camera device; According to the effective risk of the target project determined by the analysis, the projects are sorted from top to bottom from high to low, and the sorting results are displayed, and the on-site image of each target project is displayed simultaneously, and a problem record identification module for users to input on-site problems and a screenshot module for users to take screenshots of problems are displayed at the top of each on-site image; If the result of setting up the camera device for the target project is that the camera device is not set up, the projects are sorted from top to bottom from high to low according to the effective risk levels of the target projects determined through analysis, and the sorting results are displayed.

[0017] By adopting the above technical solution, it is fully considered that if the target project has a camera device, the on-site situation of the target project can be displayed synchronously during the subsequent project sorting process, and the staff can mark the problems and take screenshots by themselves.

[0018] Optionally, the projects are sorted from top to bottom according to the effective risk of the target projects determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are simultaneously displayed, including; Analyze whether the account used to log in to the monitoring and early warning platform for urban rail engineering construction is a professional related personnel; If not, the projects are sorted from top to bottom according to the effective risk of the target projects determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously; If yes, then obtain the problems and times recorded by the problem record identification module of the corresponding account; If the number of problems recorded by the problem record identification module for the corresponding account is less than the preset number, the projects are sorted from top to bottom according to the effective risk of the target projects determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously; If the number of problems recorded by the corresponding account through the problem record identification module exceeds the preset number, the problems are classified according to the problems recorded by the corresponding account through the problem record identification module, and the probability of the problem category proportion of the problems found by the corresponding account is obtained by analysis, and the problem category exceeding the preset proportion probability is regarded as the problem category that the corresponding account is good at finding; According to the problems recorded by the problem record identification module of different projects, the problem category distribution probability of different projects is analyzed and obtained; According to the problem categories that the corresponding accounts are good at finding and the distribution probability of problem categories in different projects, analyze and obtain the distribution probability values ​​of the problem categories that the corresponding accounts are good at finding in different projects; The projects whose distribution probability value exceeds the preset distribution probability value and whose effective risk exceeds the preset risk are sorted first, and the remaining projects are sorted from high to low according to the effective risk of the target project determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously.

[0019] By adopting the above technical solution, we can comprehensively consider the problems that each staff member is good at handling, fully consider the staff's enthusiasm for recording problems, ability to handle problems, and the probability of problem occurrence, and further sort the target projects, so that staff can discover problems in time and reduce risks.

[0020] Optionally, the method further includes the following steps: displaying a question record identification module for users to input on-site questions and a screenshot module for users to take screenshots of questions at the top of each on-site image, which are as follows: Get the on-site problem entered by the user and the associated project location of the problem screenshot; Get the inspection results of the inspection personnel set up for the target project; If inspection personnel are set to inspect, the problems found in the latest inspection of the target project will be obtained and compared with the on-site problems entered by the user this time. If the on-site problems entered by the user this time are within the scope of the problems found in the latest inspection of the target project, no notification will be made. Otherwise, On-site problems and screenshots are sent to the terminal held by the inspector who has recently completed the inspection of the target project; If no inspection personnel are set, maintain the original settings.

[0021] By adopting the above technical solution, it is convenient for the staff to record the problem and determine whether to notify the previous inspectors in time by comparing the inspection problem with the recorded problem.

[0022] Optionally, the method further includes sorting the projects from high to low according to the effective risk of the target projects determined through analysis, and displaying the sorting results, which are specifically as follows: Obtain the rainfall intensity within the current time range and the future preset time range in the target project area, and analyze and obtain the rainfall intensity difference; According to the mapping relationship between the impact degree values ​​of different marking parameters on rainfall intensity difference and the monitoring data of the marking parameters, the time proportion of the monitoring data of the marking parameters that does not fall into the preset safety data range within the preset time range in the future is predicted and analyzed; According to the mapping relationship between the proportion of time that the monitoring data of the marked parameters within the preset time range does not fall within the preset safety data range and the risk level, and the influence ratio of the risk assessment related parameters at different locations, the effective risk level of the target project within the preset time range in the future is analyzed and determined; If the ratio of the effective risk of the target project within the preset time range in the future to the current effective risk exceeds the preset ratio, an emergency processing message is sent to the emergency platform, and the experts set up by the emergency platform are reminded to pay attention to the target project.

[0023] By adopting the above technical solution, the future rainfall conditions are fully considered. Since the difference in rainfall intensity will cause different parameters to have different degrees of influence, the risk of future target projects can be indirectly predicted, which is conducive to sending emergency information to the emergency platform in time when the risk is high, which is conducive to timely processing.

[0024] In the second aspect, the present application provides a monitoring and early warning system for urban rail engineering construction, which adopts the following technical solution: A monitoring and early warning system for urban rail engineering construction, comprising a memory, a processor and a program stored in the memory and executable on the processor, wherein the program can implement the monitoring and early warning method for urban rail engineering construction as described in the first aspect when loaded and executed by the processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of a monitoring and early warning method for urban rail engineering construction according to an embodiment of the present application.

[0026] Figure 2 It is a flowchart of another embodiment of the present application for analyzing and determining the effective risk level of a target project.

[0027] Figure 3 It is a schematic diagram of the process of obtaining the weight distribution of questions obtained during inspection according to another embodiment of the present application.

[0028] Figure 4It is a flowchart of another embodiment of the present application for analyzing and determining the effective risk level of a target project.

[0029] Figure 5 It is a flowchart of another embodiment of the present application for analyzing and obtaining the effective success rate of the emergency response team located within a preset distance range of the target project in handling the emergency problem.

[0030] Figure 6 This is a flowchart diagram of another embodiment of the present application, which sorts the projects from high to low according to the effective risk levels of the target projects determined through analysis, and displays the sorting results. DETAILED DESCRIPTION

[0031] The present application is further described in detail below in conjunction with the accompanying drawings.

[0032] Reference Figure 1 , is a monitoring and early warning method for urban rail engineering construction disclosed in this application, comprising: Step S100, obtaining all monitoring data of risk assessment related parameters of the target project.

[0033] The target projects are usually specific construction projects such as tunnel engineering, bridge engineering, track laying engineering, etc. of urban rail. The relevant parameters include vibration, strain and settlement displacement. In addition, the relevant parameters may also include the following parameters: temperature, groundwater level, soil pressure, wind speed and inclination.

[0034] "Vibration": the periodic reciprocating motion of an object or system near its equilibrium position. In the field of engineering, vibration reflects the dynamic force acting on an object or structure, which may affect the stability and safety of the structure. Vibration data acquisition: This can be achieved by installing vibration sensors. For example, in a mechanical system, accelerometers can be installed at key locations to measure the acceleration signal of the vibration, and then the frequency, amplitude and other parameters of the vibration can be obtained through signal processing and analysis. In building structure monitoring, vibration sensors can be installed at key locations of the building to monitor vibrations caused by wind, earthquakes or other dynamic loads.

[0035] "Strain": The ratio of the change in shape of an object when it is subjected to an external force to its original size. Strain can directly reflect the stress state inside the structure and is crucial for evaluating the structure's bearing capacity and safety. Strain data acquisition: Usually obtained through strain gauges or fiber grating sensors. Strain gauges are resistive sensors attached to the surface of a structure. When the structure is deformed, the resistance of the strain gauge changes, and the strain value can be calculated by measuring the change in resistance. Fiber grating sensors use the sensitivity of the grating structure of the optical fiber to wavelength and determine strain by measuring the change in the wavelength of the reflected light.

[0036] "Settlement displacement" refers to the change in the position of an object in the vertical direction relative to a reference plane. Usually in engineering construction, due to the compression or uneven settlement of the foundation, the building or structure will produce settlement displacement, which may affect the normal use and safety of the structure.

[0037] "Temperature": Indicates the degree of hotness or coldness of an object. In engineering, temperature changes may affect the performance of materials and the stability of structures. For example, temperature changes may cause the expansion or contraction of materials, thereby causing deformation of structures. Temperature data acquisition: Temperature changes can be monitored in real time by installing temperature sensors at key parts of the structure. Temperature sensors can be of the type of thermocouples, thermal resistors, etc. Choose the appropriate sensor according to different measurement requirements.

[0038] "Groundwater level": refers to the elevation of the groundwater surface relative to a certain reference surface. Changes in groundwater levels may affect the stability of the foundation, the mechanical properties of the soil, etc., and have an important impact on engineering construction. Groundwater level data acquisition: Changes in groundwater levels can be monitored by setting up water level monitoring wells and installing water level sensors. Water level sensors can be pressure sensors, float sensors, etc., and appropriate sensors should be selected according to actual conditions.

[0039] "Earth pressure" refers to the force exerted by the soil on the structure. The size and distribution of earth pressure are crucial for the design and stability assessment of underground structures such as foundation pit engineering and tunnel engineering. Earth pressure data acquisition: Earth pressure changes can be monitored by installing earth pressure sensors in the soil. Earth pressure sensors can be resistance strain sensors, vibrating string sensors, etc., and appropriate sensors can be selected according to different engineering requirements.

[0040] "Wind speed": the speed of air flow. In structures such as bridge projects and high-rise buildings, wind speed may cause structural vibration, affecting the safety and performance of the structure. Wind speed data acquisition: Wind speed changes can be monitored by setting up a wind speed monitor at the project site. The wind speed monitor can be a mechanical anemometer, ultrasonic anemometer, etc. The appropriate instrument should be selected according to the measurement accuracy and environmental requirements.

[0041] "Tilt": The degree of inclination of an object or structure relative to the vertical direction. Changes in the tilt may indicate uneven settlement of the structure, external forces, and other problems that affect the stability of the structure. Tilt data acquisition: The tilt of the structure can be monitored by installing a tilt sensor. The tilt sensor can be an electronic tilt sensor, a mechanical tilt sensor, etc. The appropriate sensor is selected based on the measurement accuracy and installation conditions.

[0042] Step S200, based on the preset safety data range of risk assessment related parameters at different project locations and all monitoring data of risk assessment related parameters of the target project, analyze and obtain the parameter category and location of the target project monitoring data that do not fall within the preset safety data range, define the analyzed and obtained location as a marked location, and the parameter category at the marked location that does not fall within the preset safety data range as a marked parameter.

[0043] Among them, "preset safety data range" refers to the pre-set value range according to the safety requirements of different engineering parts and different risk assessment parameters. For example, for vibration parameters, an allowable vibration frequency range and amplitude range may be set according to the structure type and use requirements; for settlement displacement, a maximum allowable settlement value may be set according to the type of building and geological conditions.

[0044] “Marked location”: A specific project location where the monitoring data determined through analysis does not fall within the preset safety data range, such as a specific bridge section, tunnel section, or foundation pit area.

[0045] Suppose that in a metropolitan rail construction project, there is a tunnel construction area. The preset safety data range for the arch settlement in this area is no more than 5 mm per month. During monitoring, it was found that the arch settlement of a certain monitoring point reached 8 mm within a week. At this time, the location of this monitoring point is the marked position, and the arch settlement is the marked parameter. For another example, in the monitoring of a bridge, the preset vibration frequency safety range is 0-5Hz. If the vibration frequency of a certain monitoring point reaches 6Hz, then this monitoring point is the marked position, and the vibration is the marked parameter. Through such analysis, the potential risk points in the project can be accurately identified, providing a basis for subsequent risk assessment and early warning.

[0046] Step S300, analyze and determine the effective risk of the target project based on the mapping relationship between the proportion of time that the monitoring data of different marking parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations.

[0047] The overall process of analyzing and determining the effective risk level of the target project is as follows: 1. Determine the mapping relationship between the time proportion and risk level of each marked parameter: For tunnel projects, the marked parameters are settlement displacement, stress change and groundwater seepage. Determine the mapping relationship between the time proportion and risk level of each parameter that does not fall within the preset safety data range.

[0048] Settlement and displacement: Divide into different time-proportion intervals. For example, the low-risk interval is set to a time proportion of 0%-10%, corresponding to a risk of 0.2; the medium-risk interval is 10%-20%, corresponding to a risk of 0.5; the high-risk interval is above 20%, corresponding to a risk of 0.8. During the monitoring process, the time when the settlement and displacement parameters do not fall within the safe data range is counted, and its proportion within the preset time range is calculated. Determine the risk interval according to the proportion, and then determine the risk corresponding to the parameter.

[0049] Stress change: The time proportion interval is also divided. For example, the low risk interval is 0%-12% of the time, corresponding to a risk level of 0.25; the medium risk interval is 12%-25%, corresponding to a risk level of 0.6; the high risk interval is above 25%, corresponding to a risk level of 0.9. Monitor stress change parameters, calculate the time proportion that does not fall within the safe data range, and determine the risk level.

[0050] Groundwater seepage: Set the time ratio interval. For example, the low risk interval is 0%-8% of the time, corresponding to a risk of 0.15; the medium risk interval is 8%-15%, corresponding to a risk of 0.4; the high risk interval is above 15%, corresponding to a risk of 0.7. Collect relevant data on groundwater seepage parameters to determine the time ratio and risk.

[0051] The influence ratio of each marked parameter at different positions is evaluated as follows: Settlement displacement: Considering the important influence of settlement displacement on the overall structural stability in tunnel engineering, it is assumed that its influence ratio is 40%. This means that when evaluating the effective risk of tunnel engineering, the risk contribution of settlement displacement parameters accounts for a large proportion. Stress change: Its influence ratio is evaluated to be 35%. Stress change reflects the stress state of the tunnel structure and has an important impact on the engineering risk, but it is slightly lower than settlement displacement. Groundwater seepage: The influence ratio is set to 25%. Groundwater seepage may have effects such as erosion on the tunnel structure, but its importance is relatively low among the three parameters.

[0052] 3. Analyze and determine the effective risk of the target project, as follows: For each specific tunnel engineering target project, analyze each marked parameter separately. First, determine the time proportion of each marked parameter that does not fall into the safety data range, and determine the corresponding risk according to the proportion. Then, combine the influence proportion of the parameter to calculate its risk contribution. For example, for a certain tunnel engineering target project, the time proportion of the settlement displacement parameter is in the medium risk range, the corresponding risk is 0.5, and its influence proportion is 40%, then the risk contribution of the parameter is 0.5×40%=0.2. The time proportion of the stress change parameter is in the low risk range, the corresponding risk is 0.25, the influence proportion is 35%, and the risk contribution is 0.25×35%=0.0875. The time proportion of the groundwater seepage parameter is in the high risk range, the corresponding risk is 0.7, the influence proportion is 25%, and the risk contribution is 0.7×25%=0.175. Finally, add the risk contributions of each marked parameter to obtain the effective risk of the target project. That is, effective risk = settlement displacement risk contribution + stress change risk contribution + groundwater seepage risk contribution. In the above example, effective risk = 0.2 + 0.0875 + 0.175 = 0.4625.

[0053] Step S400, sorting the projects from top to bottom according to the effective risk levels of the target projects determined through analysis, and displaying the sorting results.

[0054] Assume that in an urban rail construction project, including tunnels, bridges, foundation pits and other projects, the effective risk levels of tunnels, bridges, foundation pits and other projects are compared and arranged in order from high to low. For example, suppose the final ranking result is: tunnel A>bridge C>foundation pit E>tunnel B>bridge D>foundation pit F. By sorting tunnels, bridges, foundation pits and other projects in the urban rail construction project according to the effective risk level, the risk status of each project can be clearly understood, providing a decision-making basis for project managers, so as to carry out targeted risk management and control to ensure the safety and smooth progress of the project construction.

[0055] Reference Figure 2 , analyzing and determining the effective risk level of the target project includes: Step S310, analyzing whether the target project is set for regular inspection by inspection personnel. If not, executing step S320. If yes, executing step S330.

[0056] "Regular inspection personnel": refers to professionals who conduct on-site inspections and assessments of target projects at specific time intervals. "Inspection": conduct a comprehensive and systematic inspection of the target project, including but not limited to the inspection of the project's structure, equipment, environment, etc., to ensure the safe and stable operation of the project.

[0057] Whether the target project is set up with regular inspection personnel can be obtained by querying the personnel management system, as follows: Use the project's personnel management system to check whether there are staff members marked as "inspection personnel". This can be determined by the personnel's job title, job description, and other information. For example, if the job title is found in the personnel management system as "inspection engineer", and the job responsibilities clearly include "regularly inspecting the project", it can be determined that the project has regular inspection personnel.

[0058] Step S320, analyze and determine the effective risk of the target project based on the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations.

[0059] Step S330, obtaining inspection results of inspection personnel within a preset time range.

[0060] "Inspection results": refers to the records and evaluations of the project status obtained by the inspectors after inspecting the target project. This includes information on problems found, potential risks, equipment operating status, etc. "Problem records": a detailed description of specific problems found during the inspection, including the type, location, severity, etc. of the problem.

[0061] The preset time range can be determined according to the actual situation of the project and the needs of risk assessment. For example, it can be a week, a month or a quarter.

[0062] The inspection results are collected as follows: Establish communication channels with the inspection personnel, such as through a dedicated inspection report system, email or paper reports, to collect their inspection results within a preset time range. Sort and classify the collected inspection results for subsequent analysis and processing. For example, the problem records can be classified according to different project locations (such as tunnels, bridges, foundation pits, etc.) and problem types (such as structural cracks, equipment failures, safety hazards, etc.).

[0063] Step S340 , analyzing the risk level of the target project obtained by the inspection according to the mapping relationship between the problems and the risk levels contained in the inspection results and the weight ratios of the problems.

[0064] Among them, the mapping relationship between problems and risks: different types of problems found during inspections are mapped to different risk levels. For example, severe structural cracks may correspond to high risks, and minor equipment surface corrosion may correspond to low risks. A corresponding table between problems and risks can be developed based on the characteristics of the project, engineering specifications, and empirical data. For example: large-scale collapse signs appear in the tunnel, corresponding to extremely high risks. Obvious cracks appear in key parts of the bridge, corresponding to high risks. Local soil loosening in the foundation pit corresponds to medium risks. Minor equipment failures correspond to low risks.

[0065] The process of determining the weight of the problem is as follows: through expert evaluation, analytic hierarchy process and other methods, determine the weight of different problems in the overall risk assessment. For example, for a tunnel project, the weight of the arch settlement problem may be 40%, the weight of the equipment failure problem may be 10%, etc.

[0066] The risk level is obtained by analyzing the inspection results as follows: for each problem in the inspection results, the corresponding risk level is determined based on the mapping relationship between the problem and the risk level. Then, the risk level of each problem is multiplied by its weight ratio to obtain the risk contribution value of the problem. Finally, the risk contribution values ​​of all problems are added together to obtain the risk level of the target project obtained by the inspection.

[0067] Suppose that during the inspection of a metropolitan railway construction project, the following problems were found: There was a small area of ​​water seepage in the tunnel, which corresponds to a low risk according to the mapping relationship. Assume that the value range of low risk is 1-3, and take the middle value 2. Assume that the total weight of tunnel problems is 100%, and the weight of water seepage problems is 10%. Then the risk contribution value of this problem is 2×10%=0.2. A railing of the bridge is slightly damaged, corresponding to a low risk, and the value is also 2. Assume that the total weight of bridge problems is 100%, and the weight of railing damage problems is 5%. Then the risk contribution value of this problem is 2×5%=0.1. There is a small area of ​​soil in the foundation pit with signs of slight loosening, corresponding to a medium risk. Assume that the value range of medium risk is 4-6, and take the middle value 5. Assume that the total weight of foundation pit problems is 100%, and the weight of soil loosening problems is 20%. Then the risk contribution value of this problem is 5×20%=1.

[0068] Then, the risk level of the target project obtained by the inspection is 0.2+0.1+1=1.3. This value can be used as an important reference for assessing the risk of the target project, and combined with the analysis results of other steps to comprehensively determine the effective risk level of the target project.

[0069] Step S350, analyzing and obtaining the effective risk of the current target project based on the mapping relationship between the results of the inspections by regular inspection personnel and the weight coefficient, the effective risk of the target project obtained by the inspections by non-regular inspection personnel, and the risk of the target project obtained by the inspections,.

[0070] Determine the mapping relationship between the results of regular inspections and the weight coefficient: If the project is set up with regular inspections and the inspection results are good, it indicates that the risk of the project is relatively low and a higher weight coefficient can be assigned. For example, when no major problems are found in the inspection results, the weight coefficient can be set to 0.7. If some problems are found in the inspection results, but the problems are not serious, the weight coefficient can be appropriately reduced, such as setting it to 0.5. If serious problems are found in the inspection results, it indicates that the project risk is high and the weight coefficient can be further reduced, such as setting it to 0.3.

[0071] Combine the effective risk without regular inspection personnel and the risk obtained by the inspection: If the project is not set up for regular inspection personnel, an effective risk has been analyzed and determined in step S320. Set it as R1. In step S340, the risk of the target project obtained by the inspection is obtained and set as R2. When the project is set up for regular inspection personnel, according to the weight coefficient W determined above, the effective risk of the target project this time is R=W×R2+(1-W)×R1.

[0072] Calculate the final effective risk: Substitute the above values ​​into the formula to calculate the effective risk of the target project. For example, if the effective risk R1 is 0.6 when no inspection personnel are set, the risk R2 obtained by the inspection is 0.4, and the weight coefficient W corresponding to the inspection result is 0.6, then the effective risk of the target project is R = 0.6 × 0.4 + (1-0.6) × 0.6 = 0.48.

[0073] Reference Figure 3 , the weight ratio analysis of the problem includes: Step S341, obtaining the occurrence frequency of the same problem within a preset time range.

[0074] "Preset time range": a specific time period determined according to the actual situation of the project and the needs of risk assessment, used to count the occurrence of problems. For example, it can be a week, a month, or a quarter. "Frequency of occurrence of the same problem": the number of times a specific problem occurs within the preset time range. For example, the number of times water seepage occurs in a tunnel within a month is the frequency of occurrence of the problem.

[0075] The same problem involves problem classification and identification. The specific process is as follows: Classify possible problems so that the frequency of occurrence of the same problem can be accurately counted. For example, problems can be divided into structural problems, equipment problems, safety problems, etc., and then further subdivided into specific problem types. During the inspection process, inspectors need to accurately record the problems found and classify them according to the classification standards. For example, cracks in tunnels are structural problems, and lighting equipment failures on bridges are equipment problems.

[0076] The process of frequency statistics is as follows: at the end of the preset time range, the frequency of occurrence of the same problem is counted. You can query the problem record system to filter out the records of specific problems and count their occurrences.

[0077] Step S342, analyzing the probability of occurrence of different problems according to the frequency of occurrence of the same problem within a preset time range, and using the probability of occurrence of the problem as the weight of the corresponding problem.

[0078] “Probability of problem occurrence”: The ratio of the number of times a specific problem occurs to the total number of inspections or observations within a preset time range.

[0079] The operation flow of step S342 is as follows: Determine the total number of inspections or observations: Determine the base number for calculating the probability of a problem based on the actual situation. If it is based on the number of inspections, count the total number of inspections performed within the preset time range. For example, 10 inspections were performed in a month. If it is based on other observation methods, such as the number of records from monitoring equipment, determine the corresponding total number of observations.

[0080] Calculate the probability of a problem: For each problem, divide its frequency of occurrence within the preset time range by the total number of inspections or observations to get the probability of the problem. For example, if a problem occurs 3 times in a month and the total number of inspections is 10, then the probability of the problem is 3 / 10=0.3.

[0081] Determine the problem weight: Use the probability of a problem occurring directly as the weight of the problem.

[0082] Reference Figure 4 , analyzing and determining the effective risk level of the target project includes: Step S3a0, obtain the mapping relationship between the proportion of time that the monitoring data of the marking parameter within the preset time range does not fall into the preset safety data range and the problem distribution probability, and the success rate of the emergency response team located within the preset distance range of the target project in handling different emergency problems, and analyze and obtain the effective success rate of the emergency response team located within the preset distance range of the target project in handling this emergency problem.

[0083] "The mapping relationship between the time proportion and the problem distribution probability": Different intervals are divided according to the time proportion that the monitoring data does not fall into the safe data range, and each interval corresponds to a specific problem probability. For example, a time proportion of 0%-20% may correspond to a low problem distribution probability, 20%-40% to a medium problem distribution probability, and so on.

[0084] Emergency response team: A team that is specifically responsible for handling emergencies and problems that may arise in the target project, and has the corresponding professional skills and equipment. "Success rate": The ratio of the number of times the emergency response team successfully handles emergency problems to the total number of emergency problems handled.

[0085] The process of obtaining the success rate of the emergency response team in handling different emergency problems is as follows: 1. Collect the records of the emergency response teams within the preset distance range of the target project in handling different emergency problems in the past. 2. Calculate the ratio of the number of successful handling of each type of emergency problem to the total number of handling of this type of problem as the success rate of this type of emergency problem. For example, if the emergency response team handles 10 tunnel collapse emergency problems and succeeds 8 times, then the success rate of tunnel collapse emergency problems is 80%.

[0086] The process of analyzing and obtaining the effective success rate of this emergency problem is as follows: 1. Determine the corresponding problem distribution probability based on the interval in which the current monitoring data does not fall into the safe data range. 2. Combined with the success rate of the emergency response team in handling different emergency problems, a comprehensive analysis is performed to obtain the effective success rate of this emergency problem. For example, if the current time percentage falls into the medium problem distribution probability interval, and the success rate of the emergency response team in handling similar problems is 70%, the effective success rate of this emergency problem can be calculated through a certain algorithm (such as weighted average, etc.).

[0087] For emergency problems involving a combination of multiple risk assessment related parameters, you can consider using a case-based reasoning algorithm. For example, if there are more than 5 risk assessment related parameters involved, consider using a case-based reasoning algorithm to analyze the effective success rate of this emergency problem. The process of using a case-based reasoning algorithm is as follows: Data is collected from various emergency situations and their handling processes that occurred in the past urban rail construction projects. These data include descriptive information such as the type, severity, location, and time of the emergency problem, as well as the measures taken by the emergency handling team, handling time, and final results.

[0088] Each collected emergency treatment case is represented as a structured case object. For example, a data structure can be used to contain the problem feature vector (such as the degree of vibration abnormality, strain out-of-range value, settlement displacement and other parameters, as well as the specific location mark of the problem), the treatment measure vector taken and the treatment result (success or failure, and success rate value, etc.).

[0089] When a new emergency problem arises, the following steps are performed: 1. Problem feature extraction: Extract key features from the new emergency problem, including information such as vibration, strain, settlement displacement, etc. that are similar to the relevant parameters in this application, as well as the location and time of the problem. 2. Similarity calculation: Calculate the similarity between the features of the new problem and the historical cases in the case library. A variety of similarity calculation methods can be used, such as Euclidean distance, cosine similarity, etc. For multi-parameter problems in this application, different weights can be set for each parameter to comprehensively calculate the overall similarity. 3. Case retrieval: According to the similarity calculation results, retrieve a group of historical cases that are most similar to the new problem from the case library. 4. Based on the processing results of the retrieved similar historical cases, predict the effective success rate of the emergency response team for the new problem. The weighted average method can be used to weight the success rate of each historical case according to the similarity to obtain the predicted success rate value. 5. Refer to the processing measures taken in similar historical cases to provide processing suggestions for new problems.

[0090] Step S3b0, analyze and determine the effective risk of the target project based on the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations.

[0091] Step S3c0, analyzing and determining the effective risk of the target project based on the effective risk of the target project and the effective failure rate of the emergency response team located within a preset distance range of the target project in handling the emergency problem.

[0092] “Effective risk level of target project”: The quantitative value of the risk level of the target project in its current state determined through the analysis in the previous steps.

[0093] The process of determining the effective failure rate of the emergency response team in handling this emergency problem is as follows: First, calculate the effective failure rate of this emergency problem based on the historical success rate of the emergency response team in handling different emergency problems. The effective failure rate is equal to 1 minus the effective success rate. For example, if the emergency response team has an effective success rate of 80% in handling similar emergency problems, then the effective failure rate is 1-80%=20%. Appropriate adjustments can be made based on the specific situation of the current emergency problem and the actual status of the team. If the current emergency problem is more complicated or the team is in poor condition recently, the estimated value of the failure rate can be appropriately increased.

[0094] Analyze and determine the effective risk of the target project: The effective risk of the target project can be determined by weighted summation or other methods. For example, a certain weight can be given to the effective risk of the target project and a certain weight can be given to the effective failure rate of the emergency response team, and then a weighted sum can be performed.

[0095] Assume that in a city rail construction project: through the previous steps, it is determined that the effective risk of the target project is 0.6, which is at a medium risk level. The historical success rate of the emergency response team within the preset distance of the target project in handling similar emergency problems is 70%, so the effective failure rate of this emergency problem is 1-70%=30%.

[0096] Assuming that according to the project characteristics and risk preference, the weight of the effective risk of the target project is determined to be 70%, and the weight of the effective failure rate of the emergency response team is 30%. Then the effective risk of this target project = 0.6 × 70% + 0.3 × 30% = 0.51.

[0097] Reference Figure 5 , the analysis obtains the effective success rate of the emergency response team within the preset distance of the target project in handling this emergency problem, including: Step S3a1, obtaining the inspection result of the inspection personnel setting the target project.

[0098] Among them, the results of setting up inspection personnel for inspection of target projects include setting up inspection personnel for inspection and not setting up inspection personnel for inspection.

[0099] Step S3a2, if the result of the inspection by inspection personnel set for the target project is that no inspection by inspection personnel is set, then based on the mapping relationship between the result of the inspection by inspection personnel not set and the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem, analyze and determine the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem.

[0100] "Results of no inspection by inspection personnel": indicates that no special personnel are arranged to conduct regular inspections and evaluations on the target project.

[0101] The process of determining the effective success rate of the emergency response team in handling this emergency problem is as follows: Determine the type and complexity of this emergency problem based on the specific situation of the current target project. Refer to the mapping relationship to determine the effective success rate of the emergency response team in handling this emergency problem within the preset distance range of the target project. For example, if this emergency problem is of a general type and the target project has not set up inspection personnel for inspection, the effective success rate is determined to be 65% based on the mapping relationship.

[0102] Step S3a3, if the result of setting up inspection personnel for inspection of the target project is setting up inspection personnel for inspection, then obtain the inspection cycle and inspection content, and based on the mapping relationship between the inspection cycle, inspection content and the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem, analyze and determine the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem.

[0103] "Inspection cycle": refers to the time interval between inspections of target items by inspectors. For example, daily inspections, weekly inspections, etc. "Inspection content": the specific matters covered by inspectors when inspecting target items. For example, checking the stability of the structure, the operating status of the equipment, safety protection measures, etc.

[0104] The mapping relationship is determined as follows: Combine historical data, expert experience, and project characteristics to establish a mapping relationship between the inspection cycle, inspection content, and the effective success rate of the emergency response team in handling this emergency problem. Generally speaking, the shorter the inspection cycle and the more comprehensive and detailed the inspection content, the higher the effective success rate of the emergency response team in handling emergency problems. For example, based on the experience of similar projects in the past, the effective success rate range under different inspection cycles and inspection content combinations can be determined. If the project is inspected weekly and the inspection content is comprehensive, the success rate of the emergency response team in handling general problems is 70%-80%, and the success rate of handling complex problems is 50%-60%, etc.

[0105] The process of analyzing and determining the effective success rate is as follows: Based on the inspection cycle and inspection content of the current target project, refer to the mapping relationship to determine the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem. For example, if the inspection cycle of the current project is once a week, the inspection content is relatively comprehensive, and this emergency problem is of a general type, the effective success rate is determined to be 75% based on the mapping relationship.

[0106] Reference Figure 6 , sort the projects from top to bottom according to the effective risk of the target projects determined by the analysis, and display the sorting results including: Step S410, obtaining the result of setting the camera device for the target project.

[0107] The result of the target project setting the camera device includes setting the camera device and not setting the camera device.

[0108] Step S420: If the result of setting the camera device for the target project is to set the camera device, a live image of the target project is acquired through the camera device.

[0109] Step S430, sort the projects from top to bottom according to the effective risk levels of the target projects determined through analysis, and display the sorting results, and simultaneously display the on-site images of each target project, and display a problem record identification module for users to input on-site problems and a screenshot module for users to take screenshots of problems at the top of each on-site image.

[0110] On-site images: Images taken in real time or periodically by cameras installed at the target project site, which can intuitively reflect the actual situation of the project. "Problem Record Identification Module": An interface element for users to input problems found when viewing on-site images, so that users can record problems in a timely manner. "Screenshot Module": Allows users to take screenshots of specific areas in on-site images to more accurately record and report problems.

[0111] The relevant information of adding the problem record identification module and the screenshot module is as follows: Add the problem record identification module and the screenshot module at the top of each on-site image. The problem record identification module can be in the form of a text input box or a drop-down menu, in which the user can enter the description of the on-site problem found. The screenshot module can be a button, and the user can take a screenshot of the on-site image after clicking it, and save or upload the screenshot to report the problem more accurately.

[0112] Step S440, if the result of setting the camera device for the target project is that the camera device is not set, the projects are sorted from top to bottom from high to low according to the effective risk of the target project determined by analysis, and the sorting results are displayed.

[0113] According to the effective risk level of the target projects determined by the analysis, the projects are sorted from top to bottom from high to low, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously, including: Step S431, analyzing whether the account for logging into the monitoring and early warning platform for urban rail engineering construction is a professional related personnel. If not, execute step S432; if yes, execute step S433.

[0114] Professionally related personnel: refers to personnel with professional knowledge and experience in the field of urban rail engineering construction, such as engineers, technicians, managers, etc. The basis for judging professionally related personnel is as follows: the account registration information, permission settings, department to which the account belongs, etc. can be used to judge whether the account is a professionally related personnel. For example, if the account registration information shows that the user's occupation is an engineer, technical expert, or other professional position related to urban rail engineering construction, or the account has high permissions and can access professional monitoring data and analysis reports, etc., then it can be preliminarily judged that the account is a professionally related personnel.

[0115] Step S432, sorting the projects from top to bottom according to the effective risk levels of the target projects determined through analysis, and displaying the sorting results, and simultaneously displaying the on-site images of each target project.

[0116] Step S433, obtaining the problems and times recorded by the problem record identification module of the corresponding account.

[0117] Step S433 is to obtain the questions and times recorded by the corresponding account through the question record identification module when it is determined that the login account is a professional-related person.

[0118] Access the Problem Record Identification Module: After logging into the platform, the professional concerned personnel find the entrance to the Problem Record Identification Module. This can be a specific button, menu option or tab page on the platform interface.

[0119] For example, on the main interface of the monitoring and early warning platform, there is a "problem record" button, which enters the problem record identification module after clicking it.

[0120] Get the recorded problems and times: The system extracts the problem records corresponding to the professional-related personnel account from the problem record identification module. The specific content and recording time of each problem are counted, and the total number of problems recorded by the account is calculated. For example, the system queries the database to find all the problems recorded by the account, such as "cracks appear in a section of the tunnel" and "slight deformation of the bridge support structure", and counts the total number of recorded problems.

[0121] Step S434, if the number of problems recorded by the problem record identification module of the corresponding account is less than the preset number, the projects are sorted from top to bottom from high to low according to the effective risk level of the target projects determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously.

[0122] “Preset number of times”: A pre-set value used to determine the frequency of recording issues for the corresponding account.

[0123] Step S435, if the number of problems recorded by the corresponding account through the problem record identification module exceeds the preset number, the problems are classified according to the problems recorded by the corresponding account through the problem record identification module, and the probability of the problem category proportion of the problems found by the corresponding account is analyzed and obtained, and the problem category that exceeds the preset probability proportion is used as the problem category that the corresponding account is good at finding.

[0124] The process of determining the problem categories that the account is good at discovering is as follows: the proportion probability of each problem category is compared with the preset proportion probability. If the proportion probability of a problem category exceeds the preset proportion probability, then the problem category is determined as the problem category that the corresponding account is good at discovering. For example, if the preset proportion probability is 25%, if the proportion probability of a problem category is 30%, then the problem category is determined as the problem category that the account is good at discovering.

[0125] Step S436, analyzing and obtaining the problem category distribution probability of different projects based on the problems recorded by the problem recording and identification module of different projects.

[0126] Calculate the distribution probability of problem categories: For each project, calculate the distribution probability of each problem category. The distribution probability is equal to the number of problems in a certain problem category divided by the total number of problems in the project. For example, if there are 100 problem records in Project B, of which 30 are tunnel structure problems, then the distribution probability of tunnel structure problems in Project B is 30 / 100=30%.

[0127] Step S437, based on the problem categories that the corresponding account is good at finding and the distribution probability of problem categories in different projects, analyze and obtain the distribution probability values ​​of the problem categories that the corresponding account is good at finding in different projects.

[0128] The specific operation process is as follows: 1. Determine the problem categories that the corresponding account is good at discovering: Review the previous steps (such as step S435) to determine the problem categories that the corresponding account is good at discovering. This is usually determined based on the proportion of a certain problem category in the problems recorded by the account exceeding the preset proportion probability. For example, after analysis, it is determined that account A is good at discovering tunnel structure problems. 2. Obtain the distribution probability of problem categories in different projects: Refer to the results of step S436 to obtain the distribution probability of each problem category in different projects. For example, for project B, it is known that the distribution probability of tunnel structure problems is 30%, the distribution probability of bridge equipment problems is 40%, and the distribution probability of safety problems is 30%. 3. Analyze and obtain the distribution probability value: For the problem category that the corresponding account is good at discovering, find the distribution probability of the problem category in different projects as the distribution probability value of the problem category that the corresponding account of the project is good at discovering. Continuing with the above example, if account A is good at discovering tunnel structure problems, for project B, the distribution probability value of the problem category that account A is good at discovering is 30%.

[0129] Step S438, sort the projects whose distribution probability value exceeds the preset distribution probability value and whose effective risk exceeds the preset risk in front, and sort the remaining projects from high to low according to the effective risk of the target project determined by analysis, and display the sorting results, and simultaneously display the on-site images of each target project.

[0130] Suppose there are five urban rail engineering construction projects, namely Project F, Project G, Project H, Project I and Project J.

[0131] Assume that the preset distribution probability value is 35% and the preset risk is 0.6. After analysis, the distribution probability value of project F is 40%, and the effective risk is 0.7, which meets the screening conditions. The distribution probability value of project G is 30%, and the effective risk is 0.5, which does not meet the screening conditions. The distribution probability value of project H is 42%, and the effective risk is 0.8, which meets the screening conditions. The distribution probability value of project I is 25%, and the effective risk is 0.4, which does not meet the screening conditions. The distribution probability value of project J is 38%, and the effective risk is 0.65, which meets the screening conditions.

[0132] Sort projects with high risks and prominent problems: First, sort Project F, Project H, and Project J from high to low according to their effective risk levels. Assume that the sorting result is Project H, Project J, and Project F.

[0133] Sort the remaining projects: Sort Project G and Project I from high to low according to their effective risk levels. Assume that the sorting results are Project G and Project I.

[0134] Display sorting results and on-site images: Display the sorted project list on the monitoring and early warning platform, such as Project H (effective risk level 0.8, distribution probability value 42%, on-site image display), Project J (effective risk level 0.65, distribution probability value 38%, on-site image display), Project F (effective risk level 0.7, distribution probability value 40%, on-site image display), Project G (effective risk level 0.5, distribution probability value 30%, on-site image display), and Project I (effective risk level 0.4, distribution probability value 25%, on-site image display).

[0135] A monitoring and early warning method for urban rail engineering construction also includes the following steps in parallel with displaying a problem record identification module for users to input on-site problems and a screenshot module for users to take screenshots of problems at the top of each on-site image: Step SA00, obtaining the on-site problem input by the user and the associated project location of the problem screenshot.

[0136] “On-site issues”: Descriptions of issues found by users when viewing on-site images of the target project, which may include various issues related to the construction of urban rail projects, such as structural damage, equipment failure, safety hazards, etc.

[0137] User input of on-site problems: When viewing the on-site images of the target project, the user enters the on-site problems found through the problem record identification module. This module can be a text input box or other forms of input interface. The user describes the nature, manifestation and impact of the problem as detailed as possible. For example, "There is an obvious crack at K5+100 of the tunnel, with a width of about 5 mm, which may affect the stability of the structure." "Problem screenshot": The image obtained by the user taking a screenshot of the area where the problem occurs in the on-site image, which is used to more intuitively display the location and specific situation of the problem. "Related project location": The specific location information in the urban rail engineering construction project corresponding to the problem screenshot and the on-site problem, such as the specific mileage section of the tunnel, the specific part of the bridge, etc.

[0138] Step SB00, obtaining the inspection results of the inspection personnel setting up the target project.

[0139] Step SC00, if inspection personnel are set to inspect, the problems found in the most recent inspection of the target project are obtained and compared with the on-site problems entered by the user this time. If the on-site problems entered by the user this time are within the scope of the problems found in the most recent inspection of the target project, no notification will be made. Otherwise, the on-site problems and screenshots of the problems will be sent to the terminal held by the inspector who most recently completed the inspection of the target project.

[0140] Get the problems found in the most recent inspection: Get the list of problems found in the most recent inspection of the target project from the project management database or inspection record system. This list of problems should include detailed descriptions of the problems, locations, discovery time, etc. For example, the most recent inspection found a slight water seepage problem in a certain section of the tunnel, which is recorded as "There is slight water seepage at K10+200 of the tunnel, and the discovery time is [specific date and time]".

[0141] Compare the on-site problems entered by the user: The on-site problems entered by the user through the monitoring and early warning platform are compared one by one with the problems found in the most recent inspection. The comparison includes the nature and location of the problem. For example, if the on-site problem entered by the user is "the cracks at K10+200 of the tunnel have increased significantly", the location and nature of the problem are compared with the problem in the most recent inspection record.

[0142] Step SD00: If the inspection personnel are not set, the original setting is maintained.

[0143] A monitoring and early warning method for urban rail engineering construction also includes the following steps after ranking the projects from high to low according to the effective risk of the target projects determined by the analysis, and displaying the ranking results, which are as follows: Step SE00, obtaining the rainfall intensity within the current time range and the future preset time range in the area where the target project is located, and analyzing and obtaining the rainfall intensity difference.

[0144] Obtaining the current rainfall intensity The rainfall intensity within the current time range in the target project area can be obtained in the following ways: Meteorological monitoring equipment: Use weather stations, rain gauges and other equipment installed near the project area to monitor the current rainfall conditions in real time and obtain rainfall intensity data. Meteorological data service: Obtain the current rainfall intensity information in the target project area from a professional meteorological data service provider.

[0145] Obtaining the future rainfall intensity The rainfall intensity forecast within the preset time range in the future for the target project area can be obtained by the following methods: Meteorological forecast service: Use the weather forecast information provided by professional meteorological forecast agencies to obtain the rainfall intensity forecast value for the target project area within the preset time range in the future. Numerical weather forecast model: Some advanced numerical weather forecast models can provide relatively accurate future rainfall intensity forecasts. Obtain future rainfall intensity data by accessing these models or using related meteorological forecast software. Determine the specific duration of the future preset time range, such as the next 24 hours, 48 ​​hours or a week, and select according to actual needs.

[0146] Analyze and obtain the rainfall intensity difference: subtract the current rainfall intensity value from the rainfall intensity forecast value within the preset time range in the future to obtain the rainfall intensity difference. For example, if the current rainfall intensity is 5 mm / hour and the rainfall intensity forecast for the next 24 hours is 10 mm / hour, then the rainfall intensity difference is 5 mm / hour.

[0147] Step SF00, based on the mapping relationship between the rainfall intensity difference and the influence degree values ​​of different marking parameters and the monitoring data of the marking parameters, predict and analyze the time proportion of the monitoring data of the marking parameters that does not fall into the preset safety data range within the future preset time range.

[0148] Mapping relationship of the impact degree value: Establish the corresponding relationship between the rainfall intensity difference and the degree of influence of different marker parameters, indicating the influence of the change of rainfall intensity difference on each marker parameter. The determination method is as follows: Through historical data statistics, experimental research or expert experience, establish the mapping relationship between the rainfall intensity difference and the impact degree value of different marker parameters. For example, according to previous monitoring data, it is found that when the rainfall intensity difference increases by a certain value, the deformation of the tunnel may increase by a certain proportion accordingly, thereby determining the impact degree value of the rainfall intensity difference on the marker parameter of tunnel deformation.

[0149] The process of obtaining the monitoring data of the marker parameters is as follows: the monitoring data of each marker parameter of the current target project is obtained from the monitoring equipment or database. For example, the current deformation measurement value of the tunnel, the vibration amplitude data of the bridge, etc. are obtained.

[0150] Predict changes in marker parameters: Based on the rainfall intensity difference and mapping relationship, predict the change trend of marker parameters within the preset time range in the future. For example, if the current rainfall intensity difference is positive and large, the mapping relationship shows that the tunnel deformation may increase, thus predicting the value of the tunnel deformation in the future.

[0151] Analyze the proportion of time that does not fall within the safe range: Compare the predicted marker parameter value with the preset safe data range. Count the length of time that the monitoring data of the marker parameter does not fall within the safe data range within the future preset time range. Calculate the proportion of time that does not fall within the safe data range, that is, the length of time that does not fall within the safe range divided by the total length of the future preset time range.

[0152] Assume that in an urban rail construction project, there are two marking parameters: tunnel deformation and soil moisture content.

[0153] The mapping relationship between rainfall intensity difference, tunnel deformation and soil moisture content was determined through historical data. For example, for every 5 mm / hour increase in rainfall intensity difference, tunnel deformation may increase by 1 mm and soil moisture content may increase by 3%.

[0154] The current tunnel deformation monitoring data is 10 mm, and the soil moisture content is 20%. Assume that the rainfall intensity difference in the next 24 hours is 8 mm / hour. According to the mapping relationship, it is predicted that the tunnel deformation may increase to 12 mm and the soil moisture content may increase to 26% in the future.

[0155] It is known that the safe data range of tunnel deformation is 5-15 mm, and the safe data range of soil moisture content is 15%-30%. Analyze the time when the tunnel deformation is not within the safe range and the time when the soil moisture content is not within the safe range in the next 24 hours. Assume that through simulation calculation, it is found that the tunnel deformation will not fall within the safe range for 4 hours in the next 24 hours, and the soil moisture content will not fall within the safe range for 6 hours.

[0156] Calculate the time proportion. For tunnel deformation, the time proportion is 4 / 24=1 / 6; for soil moisture content, the time proportion is 6 / 24=1 / 4.

[0157] Step SG00, analyze and determine the effective risk level of the target project within the future preset time range based on the mapping relationship between the proportion of time that the monitoring data of the marked parameters within the future preset time range does not fall within the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations.

[0158] Calculate the effective risk of the target project within the preset time range in the future: according to the risk corresponding to the interval in which the time proportion falls, combined with the influence proportion of the risk assessment related parameters at different locations, the risk of each parameter is weighted and summed to obtain the effective risk of the target project. For example, assuming that the time proportion within the preset time range in the future falls into the medium risk interval, and the risks of the crown settlement, clearance convergence, and earth pressure in the tunnel project are 0.6, 0.5, and 0.4 respectively, the weighted sum is performed according to the influence proportion, and the effective risk = 0.6×40%+0.5×30%+0.4×30%=0.51, which is a medium to high risk.

[0159] Step SH00, if the ratio of the effective risk of the target project within the future preset time range to the current effective risk exceeds the preset ratio, an emergency processing information is sent to the emergency platform, and the experts set by the emergency platform are reminded to pay attention to the target project.

[0160] Default ratio: A pre-set value used to determine whether the increase in future risk relative to the current risk has reached a level that requires emergency measures.

[0161] “Emergency Processing Information”: Notification information sent to the emergency platform, including key information of the target project, risk changes, and suggestions for emergency processing measures that may need to be taken.

[0162] Assume that in a city rail construction project, the current effective risk is 0.6. Through step SG00 analysis, the effective risk of the target project within the future preset time range is 0.9. The preset ratio is 1.5.

[0163] Calculate the risk ratio: 0.9÷0.6=1.5. Compare the ratio with the preset ratio: the ratio is equal to the preset ratio.

[0164] Assuming that in another scenario, the future effective risk is 1.0, then the ratio is 1.0÷0.6≈1.67, which exceeds the preset ratio.

[0165] Send emergency handling information: The system generates emergency handling information, such as "Project XYZ, the risk level will increase significantly in the future, and there may be problems such as tunnel deformation. It is recommended to immediately strengthen monitoring and take reinforcement measures." and sends the information to the emergency platform. Remind experts to pay attention: Send reminder information to experts on the emergency platform, such as "Project XYZ has an emergency, please pay attention and provide treatment suggestions." Based on the same inventive concept, an embodiment of the present invention provides a monitoring and early warning system for urban rail engineering construction, including a memory and a processor, wherein the memory stores a program that can be executed on the processor to implement the following Figures 1 to 6Procedure for either method.

[0166] The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A monitoring and early warning method for urban rail engineering construction, characterized in that: include: Obtain all monitoring data of risk assessment related parameters of the target project, where the related parameters include vibration, strain, settlement displacement, temperature, groundwater level, earth pressure, wind speed and inclination, and define the number of target projects to be at least two; According to the preset safety data range of risk assessment related parameters at different locations of the project and all monitoring data of risk assessment related parameters of the target project, analyze and obtain the parameter categories and locations of the target project monitoring data that do not fall within the preset safety data range, define the analyzed and obtained locations as marked locations, and define the parameter categories at the marked locations that do not fall within the preset safety data range as marked parameters; According to the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations, the effective risk level of the target project is analyzed and determined; According to the effective risk level of the target projects determined through analysis, the projects are sorted from top to bottom from high to low, and the sorting results are displayed.

2. A monitoring and early warning method for urban rail engineering construction according to claim 1, characterized in that: Analyzing and determining the effective risk level of the target project includes: Analyze whether the target projects are equipped with regular inspection personnel; If not, the effective risk of the target project is determined based on the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations; If yes, then obtain the inspection results of the inspectors within the preset time range, including problem records; Analyze the risk level of the target project obtained by the inspection based on the mapping relationship between the problems and risks contained in the inspection results and the weight ratio of the problems; Based on the mapping relationship between the results of the inspections by regular inspection personnel and the weight coefficient, the effective risk of the target project obtained by the inspections without regular inspection personnel, and the risk of the target project obtained by the inspections, the effective risk of this target project is analyzed and obtained.

3. A monitoring and early warning method for urban rail engineering construction according to claim 2, characterized in that: The weight ratio of the question is obtained by: Get the frequency of occurrence of the same problem within a preset time range; According to the frequency of occurrence of the same problem within a preset time range, the probability of occurrence of different problems is analyzed, and the probability of occurrence of the problem is used as the weight of the corresponding problem.

4. A monitoring and early warning method for urban rail engineering construction according to claim 1, characterized in that: Analyzing and determining the effective risk level of the target project includes: Obtain the mapping relationship between the time proportion of the monitoring data of the marked parameters within the preset time range that does not fall within the preset safety data range and the problem distribution probability, and the success rate of the emergency response team within the preset distance range of the target project in handling different emergency problems, and analyze and obtain the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem; According to the mapping relationship between the proportion of time that the monitoring data of different marked parameters within the preset time range do not fall into the preset safety data range and the risk level, and the influence ratio of risk assessment related parameters at different locations, the effective risk level of the target project is analyzed and determined; The effective risk level of the target project is analyzed and determined based on the effective risk level of the target project and the effective failure rate of the emergency response team located within a preset distance range of the target project in handling this emergency problem.

5. A monitoring and early warning method for urban rail engineering construction according to claim 4, characterized in that: The analysis of the effective success rate of the emergency response team within the preset distance of the target project in handling this emergency problem includes: Obtain the result of setting the inspection personnel for the target project, wherein the result of setting the inspection personnel for the target project includes setting the inspection personnel for the inspection and not setting the inspection personnel for the inspection; If the result of the inspection by the inspection personnel set for the target project is that the inspection by the inspection personnel is not set, then according to the mapping relationship between the result of the inspection by the inspection personnel not set and the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem, the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem is analyzed and determined; If the result of setting up inspection personnel for the target project is setting up inspection personnel for inspection, the inspection cycle and inspection content are obtained, and based on the mapping relationship between the inspection cycle, inspection content and the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem, the effective success rate of the emergency response team within the preset distance range of the target project in handling this emergency problem is analyzed and determined.

6. A monitoring and early warning method for urban rail engineering construction according to claim 5, characterized in that: According to the effective risk of the target project determined by the analysis, the projects are sorted from top to bottom from high to low, and the results of the sorting are displayed, including: Acquire a result of setting a camera device for a target project, wherein the result of setting a camera device for a target project includes setting a camera device and not setting a camera device; If the result of setting the camera device for the target project is to set the camera device, then obtaining a live image of the target project through the camera device; According to the effective risk of the target project determined by the analysis, the projects are sorted from top to bottom from high to low, and the sorting results are displayed, and the on-site image of each target project is displayed simultaneously, and a problem record identification module for users to input on-site problems and a screenshot module for users to take screenshots of problems are displayed at the top of each on-site image; If the result of setting up the camera device for the target project is that the camera device is not set up, the projects are sorted from top to bottom from high to low according to the effective risk levels of the target projects determined through analysis, and the sorting results are displayed.

7. A monitoring and early warning method for urban rail engineering construction according to claim 6, characterized in that: According to the effective risk level of the target projects determined by the analysis, the projects are sorted from top to bottom from high to low, and the sorting results are displayed, and the on-site images of each target project are simultaneously displayed, including; Analyze whether the account used to log in to the monitoring and early warning platform for urban rail engineering construction is a professional related personnel; If not, the projects are sorted from top to bottom according to the effective risk of the target projects determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously; If yes, then obtain the problems and times recorded by the problem record identification module of the corresponding account; If the number of problems recorded by the problem record identification module for the corresponding account is less than the preset number, the projects are sorted from top to bottom according to the effective risk of the target projects determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously; If the number of problems recorded by the corresponding account through the problem record identification module exceeds the preset number, the problems are classified according to the problems recorded by the corresponding account through the problem record identification module, and the probability of the problem category proportion of the problems found by the corresponding account is obtained by analysis, and the problem category exceeding the preset proportion probability is regarded as the problem category that the corresponding account is good at finding; According to the problems recorded by the problem record identification module of different projects, the problem category distribution probability of different projects is analyzed and obtained; According to the problem categories that the corresponding accounts are good at finding and the distribution probability of problem categories in different projects, analyze and obtain the distribution probability values ​​of the problem categories that the corresponding accounts are good at finding in different projects; The projects whose distribution probability value exceeds the preset distribution probability value and whose effective risk exceeds the preset risk are sorted first, and the remaining projects are sorted from high to low according to the effective risk of the target project determined by the analysis, and the sorting results are displayed, and the on-site images of each target project are displayed simultaneously.

8. A monitoring and early warning method for urban rail engineering construction according to claim 7, characterized in that: The steps also include displaying a question record identification module for users to input on-site questions and a screenshot module for users to take screenshots of questions at the top of each on-site image, which are as follows: Get the on-site problem entered by the user and the associated project location of the problem screenshot; Get the inspection results of the inspection personnel set up for the target project; If inspection personnel are set to inspect, the problems found in the latest inspection of the target project will be obtained and compared with the on-site problems entered by the user this time. If the on-site problems entered by the user this time are within the scope of the problems found in the latest inspection of the target project, no notification will be made. Otherwise, On-site problems and screenshots are sent to the terminal held by the inspector who has recently completed the inspection of the target project; If no inspection personnel are set, maintain the original settings.

9. A monitoring and early warning method for urban rail engineering construction according to any one of claims 1 to 8, characterized in that: The steps include sorting the projects from high to low according to the effective risk of the target projects determined by the analysis, and displaying the sorting results, which are as follows: Obtain the rainfall intensity within the current time range and the future preset time range in the target project area, and analyze and obtain the rainfall intensity difference; According to the mapping relationship between the impact degree values ​​of different marking parameters on rainfall intensity difference and the monitoring data of the marking parameters, the time proportion of the monitoring data of the marking parameters that does not fall into the preset safety data range within the preset time range in the future is predicted and analyzed; According to the mapping relationship between the proportion of time that the monitoring data of the marked parameters within the preset time range does not fall within the preset safety data range and the risk level, and the influence ratio of the risk assessment related parameters at different locations, the effective risk level of the target project within the preset time range in the future is analyzed and determined; If the ratio of the effective risk of the target project within the preset time range in the future to the current effective risk exceeds the preset ratio, an emergency processing message is sent to the emergency platform, and the experts set up by the emergency platform are reminded to pay attention to the target project.

10. A monitoring and early warning system for urban rail engineering construction, characterized in that: It includes a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can be loaded and executed by the processor to implement a monitoring and early warning method for urban rail engineering construction as described in any one of claims 1 to 9.

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