Intelligent monitoring system for track deformation

Abstract

The invention relates to the technical field of track plate monitoring, in particular to an intelligent track deformation monitoring system which comprises a detection unit used for displaying the liquid level height, an acquisition unit used for collecting liquid level height data and a conveying unit used for conveying the liquid level height data. The analysis unit is used for judging whether the track structure meets the standard or not based on the liquid level height data, analyzing the reason for not meeting the standard and generating a corresponding processing instruction; and the control unit is used for re-determining the operation parameters of the track deformation intelligent monitoring system based on the received processing instruction, and sending out a corresponding notice or sending out a track deformation alarm. According to the invention, real-time monitoring and accurate analysis of track deformation are effectively realized, and the use efficiency of the track is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of track slab monitoring, and particularly to an intelligent track deformation monitoring system. Background Art

[0002] The track structure is a structural facility for guiding and supporting the driving of vehicles, trains and other transportation means, mainly composed of rails, sleepers, ballast beds and connecting parts, including railway tracks and urban rail transit tracks. The role of the track is to provide a stable driving path for transportation means, ensure their safe and efficient operation, and also help reduce vehicle wear and energy consumption. Track deformation refers to the change in the shape, size or spatial position of the railway or urban rail transit track under the action of various factors, deviating from the designed standard state. Monitoring track deformation is of great significance in ensuring train operation safety, ensuring operation efficiency, protecting rail transit facilities, providing a basis for engineering decision-making and ensuring the safety of the surrounding environment.

[0003] Chinese Patent Publication No.: CN218585210U discloses an intelligent power-free ballastless track slab arching deformation state monitoring system, including: a radio frequency identification reader for transmitting radio frequency signals; at least two power-free sensor assemblies, including: a sensing element connected to the track slab and used for collecting sensing data; a signal modulator connected to the sensing element; a microcontroller connected to the signal modulator; a radio frequency antenna module connected to the microcontroller and used for receiving radio frequency signals to convert them into electrical energy, and for transmitting sensing data; the radio frequency identification reader is also used for receiving sensing data. The radio frequency identification reader powers the power-free sensor assembly, so that the radio frequency identification reader can read the sensing data collected by the sensing element, and realize the monitoring of the arching deformation state of the track slab.

[0004] It can be seen that the above-mentioned intelligent power-free ballastless track slab arching deformation state monitoring system is simple to monitor, and the accuracy of the monitoring data is higher, and the monitoring effect is better. However, the above-mentioned solution cannot realize real-time monitoring and accurate analysis of track deformation, so the use efficiency of the track cannot be guaranteed. The track structure is a structural facility for guiding and supporting the driving of vehicles, trains and other transportation means, mainly composed of rails, sleepers, ballast beds and connecting parts, including railway tracks and urban rail transit tracks. The role of the track is to provide a stable driving path for transportation means, ensure their safe and efficient operation, and also help reduce vehicle wear and energy consumption. Track deformation refers to the change in the shape, size or spatial position of the railway or urban rail transit track under the action of various factors, deviating from the designed standard state. Monitoring track deformation is of great significance in ensuring train operation safety, ensuring operation efficiency, protecting rail transit facilities, providing a basis for engineering decision-making and ensuring the safety of the surrounding environment. Summary of the Invention

[0005] To this end, the present invention provides an intelligent monitoring system for track deformation to overcome the problem in the prior art that real-time monitoring and accurate analysis of track deformation cannot be achieved, resulting in low track usage efficiency.

[0006] To achieve the above object, the present invention provides an intelligent monitoring system for track deformation, including: A detection unit, including a plurality of detection devices loaded with detection liquid and liquid level collectors, for displaying the liquid level height; An acquisition unit, connected to the detection unit, for collecting liquid level height data; A conveying unit, connected to the acquisition unit, for conveying the liquid level height data; An analysis unit, connected to the conveying unit, for determining whether the track structure meets the standard based on the liquid level height data, and analyzing the reasons for not meeting the standard based on the liquid level height data; the analysis unit is also used to generate corresponding processing instructions according to the determined reasons for not meeting the standard; A control unit, connected to the analysis unit, for re-determining the operating parameters of the intelligent monitoring system for track deformation based on the received processing instructions, sending out corresponding notifications, or sending out track deformation alarms.

[0007] Further, the analysis unit is used to determine whether the track structure meets the standard based on the liquid level fluctuation value, mark a single point as a qualified point according to the determination result, and determine whether the track structure of a single point meets the standard based on the historical liquid level height in the case that the track structure of a single point does not meet the standard, or mark a single point as an abnormal point; wherein, the liquid level fluctuation value is the absolute value of the difference between the liquid level height of a single detection device in a period and the corresponding liquid level height in the previous period.

[0008] Further, the analysis unit is also used to determine whether the track structure of a single point meets the standard based on the curve integral value, and mark a single point as a potential hazard point according to the determination result, or mark a single point as an abnormal point and classify the abnormal point based on the liquid level height adjacent to the point; wherein, the curve integral value is the integral value of the liquid level height - period curve constructed based on the historical liquid level height and the liquid level height in the current period.

[0009] Further, the analysis unit is also used to classify the abnormal points based on the variance of the liquid level values, and mark a single point as a first-level abnormal point according to the determination result, or mark a single point as a second-level abnormal point; wherein, the variance of the liquid level values is the variance of the liquid level height of a single point, the liquid level height of the upstream point, and the liquid level height of the downstream point.

[0010] Further, the analysis unit is further configured to determine whether the track structure meets the standard based on the point distribution after completing the determination of each point. And, in the case where it is determined that the track structure does not meet the standard, the preset liquid level fluctuation value is corrected based on the potential hazard point, or the reason why the track structure does not meet the standard is determined based on the number of types of the abnormal points.

[0011] Further, the control unit is further configured to reduce the preset liquid level fluctuation value based on the average value of the liquid level change, and the reduction amplitude of the preset liquid level fluctuation value is proportional to the average value of the liquid level change; wherein, the average value of the liquid level change is the average value of the absolute value of the cumulative change amount of the liquid level height of the potential hazard point within the period.

[0012] Further, the control unit is further configured to reduce the preset liquid level fluctuation value based on the potential hazard ratio, and the reduction amplitude of the preset liquid level fluctuation value is inversely proportional to the potential hazard ratio.

[0013] Further, the analysis unit is further configured to determine the reason why the track structure does not meet the standard based on the number of types of the abnormal points, and, based on the determination result, determine the reason why the track structure does not meet the standard according to the type of the first-level abnormal points, send a data acquisition failure notice when the voltage is less than or equal to the preset voltage, or send a track deformation alarm when the voltage is greater than the preset voltage.

[0014] Further, the analysis unit is further configured to determine the reason why the track structure does not meet the standard based on the type of the first-level abnormal points, and, based on the determination result, determine the reason why the track structure does not meet the standard according to the variance of the liquid level fluctuation values of each reduced first-level abnormal point, or send a track deformation alarm.

[0015] Further, the analysis unit is further configured to determine the reason why the track structure does not meet the standard based on the reduced variance of the abnormal points, and, based on the determination result, send a maintenance notice for the detection device, or send a track deformation alarm; wherein, the reduced variance of the abnormal points is the variance of the liquid level fluctuation values of each reduced first-level abnormal point.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows. By setting an analysis unit and a control unit, the analysis unit determines whether the track structure meets the standard based on the liquid level height data, and can timely and accurately complete the determination of whether the track structure meets the standard, effectively realizing the real-time monitoring of the track deformation. Based on the analysis of the reasons why the liquid level height data does not meet the standard, corresponding processing instructions are generated according to the determined reasons for not meeting the standard. Based on the received processing instructions, the operation parameters of the track deformation intelligent monitoring system are re-determined, corresponding notices are sent or a track deformation alarm is sent. While effectively realizing the accurate analysis of the track deformation, the use efficiency of the track is effectively improved.

[0017] Furthermore, the analysis unit provided in the present invention is also used to determine whether the track structure meets the standard based on the liquid level fluctuation value, and can accurately determine that the track structure at a single point meets the standard, ensuring the accuracy of the determination of whether the track structure meets the standard. While further realizing the accurate analysis of track deformation, the use efficiency of the track is further improved.

[0018] Furthermore, the analysis unit provided in the present invention is also used to determine whether the track structure at a single point meets the standard based on the curve integral value, avoiding misjudgment between potential hazard points and abnormal points. While further realizing the accurate analysis of track deformation, the use efficiency of the track is further improved.

[0019] Furthermore, the analysis unit provided in the present invention is also used to classify abnormal points based on the variance of the liquid level value, accurately classifying the abnormal points and avoiding misjudgment. While further realizing the accurate analysis of track deformation, the use efficiency of the track is further improved.

[0020] Furthermore, the analysis unit provided in the present invention is also used to determine whether the track structure meets the standard based on the point distribution after the determination of each point, and can timely and accurately complete the determination of whether the track structure meets the standard. While further realizing the accurate analysis of track deformation, the use efficiency of the track is further improved.

[0021] Furthermore, when it is determined that there are potential safety hazards in the track structure, the control unit provided in the present invention is also used to reduce the preset liquid level fluctuation value based on the average value of the liquid level change, effectively ensuring the accuracy of the preset liquid level fluctuation value. While further realizing the accurate analysis of track deformation, the use efficiency of the track is further improved.

[0022] Furthermore, the control unit provided in the present invention is also used to reduce the preset liquid level fluctuation value based on the hazard ratio, and correct the preset liquid level fluctuation value according to the increase and decrease in the number of potential hazard points, further ensuring the accuracy of the preset liquid level fluctuation value. While further realizing the accurate analysis of track deformation, the use efficiency of the track is further improved.

[0023] Furthermore, the analysis unit provided in the present invention is also used to determine the reason why the track structure does not meet the standard based on the number of types of abnormal points, and can timely and accurately determine the reason for non - compliance. While further realizing the accurate analysis of track deformation, the use efficiency of the track is further improved.

[0024] Further, when the number of primary abnormal points is greater than or equal to the number of secondary abnormal points, the analysis unit provided by the present invention is further used to determine the reason why the track structure does not meet the standard based on the type of the primary abnormal points, avoiding misjudgment, further realizing accurate analysis of track deformation and further improving the utilization efficiency of the track.

[0025] Further, when the number of decreasing primary abnormal points is greater than or equal to the number of increasing primary abnormal points, the analysis unit provided by the present invention is further used to determine the reason why the track structure does not meet the standard based on the variance of the decreasing abnormal points, avoiding misjudgment between the occurrence of liquid leakage in the detection liquid and track deformation, further realizing accurate analysis of track deformation and further improving the utilization efficiency of the track. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a structural block diagram of the intelligent track deformation monitoring system according to an embodiment of the present invention; Figure 2 is a working flow chart of the intelligent track deformation monitoring system according to an embodiment of the present invention; Figure 3 is a flow chart for determining whether the track structure of a single point meets the standard according to an embodiment of the present invention; Figure 4 is a flow chart for determining whether the track structure meets the standard and the reason for non - compliance according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0028] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0029] In addition, it should be noted that in the description of the present invention, unless otherwise clearly defined and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication of two components. Those skilled in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

[0030] Please refer to Figure 1As shown, it is a structural block diagram of the intelligent monitoring system for track deformation in an embodiment of the present invention. The system in the embodiment of the present invention includes a detection unit, a collection unit, a transmission unit, an analysis unit, and a control unit, where: The detection unit includes several detection devices loaded with detection liquid and liquid level collectors for displaying the liquid level height; The collection unit is connected to the detection unit for collecting liquid level height data; The transmission unit is connected to the collection unit for transmitting the liquid level height data; The analysis unit is connected to the transmission unit for determining whether the track structure meets the standard based on the liquid level height data, and analyzing the reasons for not meeting the standard based on the liquid level height data; the analysis unit is also used to generate corresponding processing instructions according to the determined reasons for not meeting the standard; The control unit is connected to the analysis unit for re-determining the operating parameters of the intelligent monitoring system for track deformation based on the received processing instructions, sending out corresponding notifications, or sending out track deformation alarms; Specifically, adjacent detection devices are connected through a liquid infusion pipe to ensure that the detection liquid is at the same horizontal line.

[0031] Please refer to Figure 2 As shown, it is a working flow chart of the intelligent monitoring system for track deformation in an embodiment of the present invention.

[0032] When the intelligent monitoring system for track deformation in the embodiment of the present invention is running, the detection unit includes several detection devices loaded with detection liquid and liquid level collectors for displaying the liquid level height, the collection unit is used to collect liquid level height data, the transmission unit is used to transmit the liquid level height data, the analysis unit is used to determine whether the track structure meets the standard based on the liquid level height data and analyze the reasons for not meeting the standard based on the liquid level height data, the analysis unit is also used to generate corresponding processing instructions according to the determined reasons for not meeting the standard, and the control unit is used to re-determine the operating parameters of the intelligent monitoring system for track deformation based on the received processing instructions, send out corresponding notifications, or send out track deformation alarms.

[0033] Please refer to Figure 3 As shown, it is a flow chart for determining whether the track structure of a single point meets the standard in an embodiment of the present invention. The analysis unit in the embodiment of the present invention is used to determine whether the track structure meets the standard based on the liquid level fluctuation value, where the liquid level fluctuation value is the absolute value of the difference between the liquid level height of a single detection device in a period and the corresponding liquid level height in the previous period; If the liquid level fluctuation value is less than or equal to the first preset liquid level fluctuation value F1 set in the analysis unit, the analysis unit determines that the track structure at this point meets the standard, and marks this point as a qualified point. In this embodiment, the first preset liquid level fluctuation value F1 = 0.135 mm; If the liquid level fluctuation value is greater than the first preset liquid level fluctuation value F1 and less than or equal to the second preset liquid level fluctuation value F2 set in the analysis unit, the analysis unit determines that the track structure at this point does not meet the standard, and determines whether the track structure at this point meets the standard based on the historical liquid level height. In this embodiment, the second preset liquid level fluctuation value F2 = 0.298 mm; If the liquid level fluctuation value is greater than the second preset liquid level fluctuation value F2, the analysis unit determines that the track structure at this point does not meet the standard, marks this point as an abnormal point, and classifies the abnormal point based on the liquid level height adjacent to this point; Specifically, the detection period of the liquid level fluctuation value of a single detection device is 2 h.

[0034] Please continue to refer to Figure 3 As shown, the analysis unit in the embodiment of the present invention is further configured to determine whether the track structure of a single point meets the standard based on the curve integral value, where the curve integral value is the integral value of the liquid level height - period curve constructed based on the historical liquid level height and the current period liquid level height: If the curve integral value is less than or equal to the preset curve integral value G set in the analysis unit, the analysis unit determines that the track structure of a single point meets the standard, and marks this point as a potential hazard point. In this embodiment, the preset curve integral value G = 1.701; If the curve integral value is greater than the preset curve integral value G, the analysis unit determines that the track structure of a single point does not meet the standard, marks this point as an abnormal point, and classifies the abnormal point based on the liquid level height adjacent to this point; Specifically, the historical liquid level height is the previous 8 liquid level heights of the current period liquid level height.

[0035] Please continue to refer to Figure 3 As shown, the analysis unit in the embodiment of the present invention is further configured to classify the abnormal points based on the variance of the liquid level values, where the variance of the liquid level values is the variance of the liquid level height of a single point, the liquid level height of the upstream point, and the liquid level height of the downstream point: If the variance of the liquid level values is less than or equal to the preset variance of the liquid level values C set in the analysis unit, the analysis unit determines that there is a regional overall deformation in the track structure, and marks this point as a first-level abnormal point. In this embodiment, the preset variance of the liquid level values C = 0.01; If the variance of the liquid level value is greater than the preset liquid level value variance C, the analysis unit determines that there is a discrete overall deformation in the track structure, and records this point as a secondary abnormal point.

[0036] Please refer to Figure 4 As shown, it is a flowchart for the embodiment of the present invention to determine whether the track structure meets the standard and the reasons for not meeting the standard. The analysis unit in the embodiment of the present invention is further configured to determine whether the track structure meets the standard based on the point distribution after completing the determination of each point: If the number of qualified points in the point distribution is greater than the number of potential hazard points and greater than the number of abnormal points, the analysis unit determines that the track structure meets the standard, completes the periodic determination of the track structure, and determines whether the track structure in the next period meets the standard; If the number of potential hazard points in the point distribution is greater than the number of qualified points and greater than the number of abnormal points, the analysis unit determines that there are potential safety hazards in the track structure, and corrects the preset liquid level fluctuation value based on the potential hazard points; If the number of abnormal points in the point distribution is greater than the number of qualified points and greater than the number of potential hazard points, the analysis unit determines the reason why the track structure does not meet the standard based on the number of types of abnormal points; Specifically, when there is an equal situation among the number of qualified points, the number of potential hazard points, and the number of abnormal points, the point distribution is determined according to the priority order of the number of abnormal points, the number of potential hazard points, and the number of qualified points.

[0037] Please continue to refer to Figure 4 As shown, the control unit in the embodiment of the present invention is further configured to reduce the preset liquid level fluctuation value based on the average liquid level change, where the average liquid level change is the average value of the absolute value of the cumulative change in the liquid level height of the potential hazard points within the period: If the average liquid level change is greater than the second preset average liquid level change △A2 set in the analysis unit, the control unit reduces the preset liquid level fluctuation value to 0.932 times the initial preset liquid level fluctuation value, where the second preset average liquid level change △A2 = 0.176 mm in this embodiment; If the average liquid level change is less than or equal to the second preset average liquid level change △A2 and greater than the first preset average liquid level change △A1 set in the analysis unit, the control unit reduces the preset liquid level fluctuation value to 0.956 times the initial preset liquid level fluctuation value, where the first preset average liquid level change △A1 = 0.158 mm in this embodiment; If the average value of the liquid level change is less than or equal to the first preset average liquid level change value △A1, the control unit will reduce the preset liquid level fluctuation value to 0.971 times the initial preset liquid level fluctuation value.

[0038] Please continue to refer to Figure 4 As shown, the control unit in the embodiment of the present invention is further configured to reduce the preset liquid level fluctuation value based on the hidden danger ratio, where the hidden danger ratio is the ratio of the hidden danger point difference to the total number of hidden danger points, the hidden danger point difference is the absolute value of the difference between the number of increased hidden danger points and the number of reduced hidden danger points, the number of increased hidden danger points is the number of points where the liquid level height in the current cycle is lower than the liquid level height in the previous cycle, and the number of reduced hidden danger points is the number of points where the liquid level height in the current cycle is higher than the liquid level height in the previous cycle: If the hidden danger ratio is greater than the second preset hidden danger ratio R2 set in the analysis unit, the control unit will reduce the preset liquid level fluctuation value to 0.987 times the initial preset liquid level fluctuation value, where the second preset hidden danger ratio R2 = 0.68 in this embodiment; If the hidden danger ratio is less than or equal to the second preset hidden danger ratio R2 and greater than the first preset hidden danger ratio R1 set in the analysis unit, the control unit will reduce the preset liquid level fluctuation value to 0.983 times the initial preset liquid level fluctuation value, where the first preset hidden danger ratio R1 = 0.31 in this embodiment; If the hidden danger ratio is less than or equal to the first preset hidden danger ratio R1, the control unit will reduce the preset liquid level fluctuation value to 0.972 times the initial preset liquid level fluctuation value.

[0039] Please continue to refer to Figure 4 As shown, the analysis unit in the embodiment of the present invention is further configured to determine the reason why the track structure does not meet the standard based on the number of types of the abnormal points: If the number of first-level abnormal points is greater than or equal to the number of second-level abnormal points, the analysis unit determines the reason why the track structure does not meet the standard based on the type of the first-level abnormal points; If the number of first-level abnormal points is less than the number of second-level abnormal points, the analysis unit determines to send a data acquisition failure notification when the voltage is less than or equal to the preset voltage, and send a track deformation alarm when the voltage is greater than the preset voltage.

[0040] Please continue to refer to Figure 4 As shown, the analysis unit in the embodiment of the present invention is further configured to determine the reason why the track structure does not meet the standard based on the type of the first-level abnormal points: If the number of decreased first-level abnormal points is greater than or equal to the number of increased first-level abnormal points, the analysis unit determines the reason for the non-compliance of the track structure based on the variance of the liquid level fluctuation values of each decreased first-level abnormal point, where the number of decreased first-level abnormal points is the number of points where the liquid level height in the current period is higher than the liquid level height in the previous period, and the number of increased first-level abnormal points is the number of points where the liquid level height in the current period is lower than the liquid level height in the previous period; If the number of increased first-level abnormal points is less than the number of decreased first-level abnormal points, the analysis unit determines to issue an alarm for track deformation.

[0041] Please continue to refer to Figure 4 As shown, the analysis unit in the embodiment of the present invention is also used to determine the reason for the non-compliance of the track structure based on the variance of the decreased abnormal points, where the variance of the decreased abnormal points is the variance of the liquid level fluctuation values of each of the decreased first-level abnormal points: If the variance of the decreased abnormal points is less than the preset variance of the decreased abnormal points E set in the analysis unit, the analysis unit determines that the detection liquid leaks and issues a maintenance notice for the detection device, where the preset variance of the decreased abnormal points E = 0.0273 in this embodiment; If the variance of the decreased abnormal points is greater than or equal to the preset variance of the decreased abnormal points E, the analysis unit determines to issue an alarm for track deformation.

[0042] Embodiment 1 The track deformation of a 20m subway track is monitored through an intelligent monitoring system. There are 12 detection devices. The analysis unit periodically obtains the liquid level height of the subway track. For a single detection device, the absolute value of the difference between the liquid level height in a 2h period and the corresponding liquid level height in the previous period is calculated and recorded as the liquid level fluctuation value. The points where the liquid level fluctuation value is less than or equal to the first preset liquid level fluctuation value of 0.135mm are recorded as qualified points; the points where the liquid level fluctuation value is greater than the first preset liquid level fluctuation value of 0.135mm and less than or equal to the second preset liquid level fluctuation value of 0.298mm calculate the curve integral value according to the liquid level height - period curve. The points where the curve integral value is less than or equal to the preset curve integral value of 1.701 are recorded as potential hazard points; the points where the curve integral value is greater than the preset curve integral value of 1.701 are recorded as abnormal points, and the points where the liquid level fluctuation value is greater than the second preset liquid level fluctuation value of 0.298mm are recorded as abnormal points. The variance of the liquid level height of a single point with the liquid level height of the upstream point and the liquid level height of the downstream point is calculated and recorded as the liquid level value variance. If the liquid level value variance is less than or equal to the preset liquid level value variance of 0.01, there is a regional overall deformation of the track structure, and this point is recorded as a first-level abnormal point. If the liquid level value variance is greater than the preset liquid level value variance of 0.01, there is a discrete overall deformation of the track structure, and this point is recorded as a second-level abnormal point.

[0043] The number of qualified points is 11, the number of potential hazard points is 1, and the number of abnormal points is 0. It is determined that the track structure meets the standard, the periodic determination of the track structure is completed, and it is determined whether the track structure in the next cycle meets the standard.

[0044] Embodiment 2 The track deformation of a 35m light rail is monitored through an intelligent monitoring system. There are 19 detection devices. The determination of the points for a single detection device is as described in Embodiment 1. The number of potential hazard points is 16, the number of qualified points is 2, and the number of abnormal points is 1. The distribution of points is such that the number of potential hazard points is greater than the number of qualified points and greater than the number of abnormal points. The analysis unit determines that there are potential safety hazards in the track structure. Calculate the average value of the cumulative change in liquid level height of 16 potential hazard points within a cycle of 2h, denoted as the average liquid level change. The average liquid level change is 0.163mm, which is less than or equal to the second preset average liquid level change of 0.176mm and greater than the first preset average liquid level change of 0.158mm. Reduce the preset liquid level fluctuation value to 0.956 times the initial preset liquid level fluctuation value. Determine the number of points where the liquid level height in the current cycle is lower than that in the previous cycle, denoted as the increased number of potential hazard points. The increased number of potential hazard points is 5. Determine the number of points where the liquid level height in the current cycle is higher than that in the previous cycle, denoted as the decreased number of potential hazard points. The decreased number of potential hazard points is 11. Calculate the absolute value of the difference between the increased number of potential hazard points and the decreased number of potential hazard points, denoted as the difference in potential hazard points. The difference in potential hazard points is 6. Calculate the ratio of the difference in potential hazard points 6 to the total number of potential hazard points 16, denoted as the potential hazard ratio. The potential hazard ratio is 0.375. Based on the potential hazard ratio, reduce the preset liquid level fluctuation value, which is less than or equal to the second preset potential hazard ratio of 0.68 and greater than the first preset potential hazard ratio of 0.31. Reduce the preset liquid level fluctuation value to 0.983 times the initial preset liquid level fluctuation value.

[0045] Embodiment 3 The deformation of a 55m subway track is monitored by an intelligent monitoring system. There are 28 detection devices. The determination of the positions of individual detection devices is as described in Embodiment 1. The number of abnormal positions is 26, the number of qualified positions is 2, and the number of potential hazard positions is 0. The distribution of positions is such that the number of abnormal positions is greater than the number of qualified positions and greater than the number of potential hazard positions. The number of first-level abnormal positions is 22, and the number of second-level abnormal positions is 4. The number of first-level abnormal positions is greater than or equal to the number of second-level abnormal positions. Based on the types of first-level abnormal positions, the reasons for the non-compliance of the track structure are determined. The number of positions where the liquid level height in the current cycle is higher than that in the previous cycle is determined to reduce the number of first-level abnormal positions, and the reduction in the number of first-level abnormal positions is 17. The number of positions where the liquid level height in the current cycle is lower than that in the previous cycle is determined to increase the number of first-level abnormal positions, and the increase in the number of first-level abnormal positions is 5. The reduction in the number of first-level abnormal positions is greater than or equal to the increase in the number of first-level abnormal positions. The variance of the liquid level fluctuation values of each position with a reduced number of first-level abnormal positions is determined, denoted as the abnormal position variance. The liquid level fluctuation values of the 17 positions with a reduced number of first-level abnormal positions are 0.62mm, 0.59mm, 0.85mm, 0.72mm, 0.56mm, 0.82mm, 0.99mm, 0.68mm, 0.67mm, 0.54mm, 0.59mm, 0.80mm, 0.70mm, 0.60mm, 0.70mm, 0.80mm, 0.60mm respectively. The abnormal position variance is 0.0149, which is less than the preset variance for reducing abnormal positions of 0.0273. The analysis unit determines that the detection liquid has leaked and issues a maintenance notice for the detection device.

[0046] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0047] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A track deformation intelligent monitoring system, characterized in that: include: The detection unit includes a plurality of detection devices loaded with detection liquid and a liquid level collector, and is used to display the liquid level height; A collection unit, connected to the detection unit, for collecting liquid level height data; A conveying unit connected to the collecting unit and used for conveying the liquid level height data; an analysis unit connected to the conveying unit, for determining whether the track structure meets the standard based on the liquid level data, and for analyzing the reason for not meeting the standard based on the liquid level data; the analysis unit is also used to generate corresponding processing instructions according to the determined reason for not meeting the standard; A control unit is connected to the analysis unit and is used to redetermine the operating parameters of the track deformation intelligent monitoring system based on the received processing instructions, and issue a corresponding notification, or issue a track deformation alarm.

2. The track deformation intelligent monitoring system according to claim 1, characterized in that: The analysis unit is used to determine whether the track structure meets the standards based on the liquid level fluctuation value, record a single point as a qualified point according to the determination result, and, when it is determined that the track structure of a single point does not meet the standards, determine whether the track structure of a single point meets the standards based on the historical liquid level height, or record a single point as an abnormal point; wherein the liquid level fluctuation value is the absolute value of the difference between the liquid level height of a single detection device within a period and the liquid level height corresponding to the previous period.

3. The track deformation intelligent monitoring system according to claim 2 is characterized in that: The analysis unit is also used to determine whether the track structure of a single point meets the standards based on the curve integral value, and to record the single point as a potential hazard point according to the determination result, or to record the single point as an abnormal point and classify the abnormal point based on the liquid level height adjacent to the point; wherein the curve integral value is the integral value of the liquid level height-period curve constructed based on the historical liquid level height and the current period liquid level height.

4. The track deformation intelligent monitoring system according to claim 3 is characterized in that: The analysis unit is also used to classify the abnormal points based on the liquid level value variance, and, according to the determination result, record a single point as a first-level abnormal point, or, record a single point as a second-level abnormal point; wherein the liquid level value variance is the variance of the liquid level height of the single point and the liquid level height of the upstream point and the liquid level height of the downstream point.

5. The track deformation intelligent monitoring system according to claim 4, characterized in that: The analysis unit is also used to determine whether the track structure meets the standards based on the point distribution after completing the determination of each of the points, and to correct the preset liquid level fluctuation value based on the potential danger points when it is determined that the track structure does not meet the standards, or to determine the reason why the track structure does not meet the standards based on the number of types of the abnormal points.

6. The track deformation intelligent monitoring system according to claim 5, characterized in that: The control unit is also used to reduce the preset liquid level fluctuation value based on the average value of the liquid level change, and the reduction amplitude of the preset liquid level fluctuation value is proportional to the average value of the liquid level change; wherein the average value of the liquid level change is the average value of the absolute value of the cumulative change of the liquid level height at the hidden danger point within the period.

7. The track deformation intelligent monitoring system according to claim 6, characterized in that: The control unit is further configured to reduce the preset liquid level fluctuation value based on the hidden danger ratio, and the reduction range of the preset liquid level fluctuation value is inversely proportional to the hidden danger ratio.

8. The track deformation intelligent monitoring system according to claim 5, characterized in that: The analysis unit is also used to determine the reason why the track structure does not meet the standards based on the number of types of the abnormal points, and to determine the reason why the track structure does not meet the standards based on the types of the first-level abnormal points according to the determination result, and to issue a data collection fault notification when the voltage is less than or equal to a preset voltage, or to issue a track deformation alarm when the voltage is greater than a preset voltage.

9. The track deformation intelligent monitoring system according to claim 8, characterized in that: The analysis unit is also used to determine the reason why the track structure does not meet the standards based on the type of the first-level abnormal point, and to determine the reason why the track structure does not meet the standards based on the variance of the liquid level fluctuation values ​​of each lower first-level abnormal point according to the judgment result, or to issue a track deformation alarm.

10. The track deformation intelligent monitoring system according to claim 9, characterized in that: The analysis unit is also used to determine the reason why the track structure does not meet the standards based on the reduced abnormal point variance, and to issue a maintenance notice for the detection device or a track deformation alarm based on the determination result; wherein the reduced abnormal point variance is the variance of the liquid level fluctuation value of each of the first-level reduced abnormal points.

Images