An elevator cable fault early warning system based on intelligent monitoring

Abstract

This invention relates to the field of fault early warning, and more particularly to an elevator cable fault early warning system based on intelligent monitoring. The system includes: a running analysis unit for determining whether to adjust the point setting method from a baseline point setting to an optimized point setting based on the target operating state; an optimization analysis unit for determining the point optimization method based on data cycle stability; an optimization decision-making unit for determining the area category based on key extreme points and setting different movable detection points for each area category; and an early warning notification unit for determining whether to issue a risk warning based on the swing amplitude corresponding to each photoelectric module. This invention effectively improves the detection efficiency of the swing amplitude of traveling cables.

Description

Technical Field

[0001] This invention relates to the field of fault early warning, and in particular to an elevator cable fault early warning system based on intelligent monitoring. Background Technology

[0002] The reliable operation of elevators is directly related to the safety of people's lives and property and the order of daily life. Therefore, elevator safety has always been a core issue in the industry. In the complex system of elevators, the traveling cable, as a key cable connecting the car and the control system, directly determines whether the elevator can operate normally and safely. Currently, for fault detection of traveling cables, existing technologies mostly rely on using a single fixed point to set up a photoelectric module to detect the swing amplitude of the traveling cable. However, the fixed point setting method is difficult to comprehensively assess the overall health status of the cable, resulting in monitoring blind spots and causing problems such as delayed or missed warnings. Therefore, how to achieve adaptive setting and dynamic optimization adjustment of detection points to improve the accuracy of elevator cable fault detection has become a key problem that urgently needs to be solved.

[0003] Chinese Patent Publication No. CN111650596A discloses a system and method for detecting the swing amplitude of a traveling cable. The system includes at least one photoelectric detection module arranged longitudinally along the shaft below the lowest cable fixing frame; a microcomputer system connecting each photoelectric detection module to obtain the swing amplitude value at each detection point; the method includes a swing amplitude threshold setting step, in which the elevator car is moved to the lowest floor and the traveling cable is swung to swing with the maximum lateral swing amplitude Amax; the swing amplitude An of the traveling cable directly opposite the photoelectric detection module is obtained; the corresponding maximum swing amplitude angle Bn is obtained by calculating based on the swing amplitude An and the distance Dn; the mean Bmean of each maximum swing amplitude angle Bn is taken as the swing amplitude threshold; a swing amplitude detection step, in which the swing amplitude An is obtained in real time through the photoelectric detection module, and then the current swing amplitude angle Cn is calculated; and an over-limit judgment alarm step, in which an alarm is reported when the current swing amplitude Cn is greater than or equal to the swing amplitude threshold Bmean. It is evident that while the aforementioned technical solution discloses the detection of the swing amplitude of the traveling cable by setting up a photoelectric detection module to determine whether the elevator is operating abnormally, it fails to consider that the fixed setting of the photoelectric detection module is difficult to adapt to the actual operating conditions of the elevator, resulting in low detection efficiency of the photoelectric detection module. Summary of the Invention

[0004] Therefore, the present invention provides an elevator cable fault early warning system based on intelligent monitoring to overcome the problem that the existing technology does not take into account the difficulty of adapting to the actual operation of elevators by setting up a single photoelectric detection module, resulting in low detection efficiency of the photoelectric detection module.

[0005] To achieve the above objectives, the present invention provides an elevator cable fault early warning system based on intelligent monitoring, comprising:

[0006] The operation analysis unit is used to determine the target operation status of the target to be analyzed based on the operation distance and operation stability, and to determine whether to adjust the point setting method from the baseline point setting to the optimized point setting based on the target operation status.

[0007] An optimization analysis unit, connected to the running analysis unit, is used to determine the point optimization method based on the comparison result of data cycle stability and data cycle stability threshold, which is to divide the area into sections based on key extreme points or increase the detection frequency of points.

[0008] The optimization decision unit is connected to the operation analysis unit and the optimization analysis unit respectively. It is used to determine key sections and ordinary sections based on key extreme value points. For key sections, it determines whether the detection point is a point to be moved based on the urgency of adjustment, and determines the number of movable points based on the distribution reference value of the points to be moved. For ordinary sections, it determines the wake-up detection points based on the swing stability of each detection point.

[0009] The early warning notification unit is connected to the operation analysis unit, the optimization analysis unit, and the optimization decision unit, respectively, and is used to determine whether to issue a risk warning based on the swing amplitude of each photoelectric module.

[0010] Furthermore, for targets to be analyzed whose operating status is that the operating distance is less than the preset operating distance and the operating stability is greater than or equal to the preset operating stability, the operation analysis unit determines the point setting method as the benchmark point setting.

[0011] Furthermore, for targets to be analyzed whose target operating state is that the operating distance is greater than or equal to the preset operating distance or the operating stability is less than the preset operating stability, the operation analysis unit determines the point setting method to be optimized.

[0012] Furthermore, when optimizing the analysis unit response to preset optimization conditions, for data states where the data period stability is greater than or equal to the data period stability threshold, the point optimization method is determined to be segmentation based on key extreme point locations;

[0013] For data where the data period stability is less than the data period stability threshold, the optimization method for determining the location is to increase the frequency of location detection.

[0014] The preset optimization condition is that the determination point setting method is optimized point setting.

[0015] Furthermore, in the process of optimizing the segmentation of the decision-making unit, several key segments are constructed with the location of each key extreme point as the center, and the length of each key segment is a preset distance;

[0016] The preset distance is determined based on the frequency of historical faults, and the preset distance is positively correlated with the frequency of historical faults.

[0017] Furthermore, the optimization decision-making unit records the detection points in the key section whose adjustment urgency is greater than or equal to the preset adjustment urgency as points to be moved;

[0018] The urgency of the adjustment is determined based on the swing deviation and swing fluctuation of the detection point;

[0019] The urgency of the adjustment is positively correlated with the swing deviation and the swing fluctuation.

[0020] Furthermore, when the distribution reference value of the point to be moved is greater than or equal to the preset distribution reference value, the optimization decision unit determines to set the first moving point. The first moving point setting includes: clustering each point to be moved to obtain several first-class sub-segments; for each first-class sub-segment, determining the number of movable points within the first-class sub-segment based on the length of the first-class sub-segment; and for the second-class sub-segments, using the baseline number of movable points.

[0021] The distance between any two adjacent points to be moved within the first type of sub-segment is less than the preset distance between points.

[0022] The second type of sub-segment refers to all segments other than the first type of sub-segment.

[0023] Furthermore, when the distribution reference value of the point to be moved is less than the preset distribution reference value, the optimization decision unit determines to set a second moving point. The second moving point setting includes: adjusting the point to be moved with the greatest urgency to be adjusted into a movable point, and using the movable point as the starting adjustment point, selecting points to be moved in sequence with a fixed step size, and adjusting the selected points to be moved into movable points.

[0024] Furthermore, the optimization decision unit determines the wake-up order of each detection point in the ordinary section according to the order of the swing stability of each detection point from large to small, and records the woken detection points as wake-up detection points, and puts the unwakeable detection points into a dormant state. The woken detection points are detected for a fixed duration, and after the detection is completed, the woken detection points are put into a dormant state.

[0025] The ordinary sections refer to all sections other than the key sections.

[0026] Furthermore, the early warning notification unit obtains the maximum swing amplitude of each photoelectric module within the monitoring period. If the maximum swing amplitude of any photoelectric module is greater than or equal to the swing amplitude threshold, a risk warning is issued.

[0027] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention determines the target operating state based on the running distance and operating stability, and determines whether to optimize the reference point based on the target operating state. The actual operating state of the elevator is characterized by the running distance and operating stability. Considering that the mechanical damage of the elevator traveling cable mainly originates from the dynamic stress generated during elevator operation, different operating states of the elevator will cause different types of damage to the traveling cable. Therefore, the detection point setting method of the traveling cable is determined based on the actual elevator operating state, which improves the rationality of the detection point setting, thereby improving the effectiveness of the detection data and the effectiveness of subsequent point optimization and adjustment.

[0028] Furthermore, in this invention, the point optimization method is determined based on the comparison result of data cycle stability and data cycle stability threshold. Data cycle stability characterizes whether the overall swing amplitude of the traveling cable is regular. For traveling cables with relatively regular overall swing amplitude, segments are divided based on key extreme points. Key extreme points characterize the positions of the largest or smallest swing amplitude in the traveling cable. The traveling cable is divided into key segments including key extreme points and ordinary areas excluding key extreme points. By dividing the traveling cable into segments and setting different moving points accordingly, the accuracy of moving point setting is improved, avoiding the problem of poor detection effect caused by the single detection point setting method in the prior art. For traveling cables with poor overall swing amplitude regularity, the point optimization method is determined to be to increase the frequency of point detection. By increasing the frequency of point detection, more detection data is obtained, which helps to improve the representativeness of the detection data, thereby improving the detection effect and the validity of the detection data.

[0029] Furthermore, in this invention, the wake-up order of each detection point in a normal section is determined according to the swing stability, and other detection points except for those that are woken up are put into hibernation. This reduces the redundancy of the detection point settings, ensures effective monitoring coverage while reducing energy consumption, achieves a balance between detection coverage effectiveness and energy efficiency, and thus improves the efficiency of point detection. Attached Figure Description

[0030] Figure 1 This is a unit connection diagram of the elevator cable fault early warning system based on intelligent monitoring according to the present invention;

[0031] Figure 2 This is a flowchart illustrating how the present invention determines the location setting method based on the target operating state;

[0032] Figure 3 This is a flowchart illustrating the method for determining point optimization based on data cycle stability according to the present invention.

[0033] Figure 4This is a flowchart illustrating how the present invention determines the sub-segment category based on the distribution reference values ​​of the points to be moved. Detailed Implementation

[0034] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0035] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0036] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0037] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0038] Please see Figures 1 to 4 As shown, the present invention provides an elevator cable fault early warning system based on intelligent monitoring, comprising:

[0039] The operation analysis unit is used to determine the target operation status of the target to be analyzed based on the operation distance and operation stability, and to determine whether to adjust the point setting method from the baseline point setting to the optimized point setting based on the target operation status.

[0040] An optimization analysis unit, connected to the running analysis unit, is used to determine the point optimization method based on the comparison result of data cycle stability and data cycle stability threshold, which is to divide the area into sections based on key extreme points or increase the detection frequency of points.

[0041] The optimization decision unit is connected to the operation analysis unit and the optimization analysis unit respectively. It is used to determine key sections and ordinary sections based on key extreme value points. For key sections, it determines whether the detection point is a point to be moved based on the urgency of adjustment, and determines the number of movable points based on the distribution reference value of the points to be moved. For ordinary sections, it determines the wake-up detection points based on the swing stability of each detection point.

[0042] The early warning notification unit is connected to the operation analysis unit, the optimization analysis unit, and the optimization decision unit, respectively, and is used to determine whether to issue a risk warning based on the swing amplitude of each photoelectric module.

[0043] This invention is applied to detect the swing amplitude of the traveling cable of an elevator to achieve fault early warning. The target to be analyzed is the elevator. Several photoelectric modules are set to detect the swing amplitude of the traveling cable of the elevator. Each photoelectric module is set on a fixed slide rail, which is fixed to the side wall of the elevator shaft and parallel to the direction of movement of the elevator. The length of the fixed slide rail is the same as the longest stroke of the target to be analyzed. It is easy to understand that the maximum length of the traveling cable is also the same as the longest stroke of the target to be analyzed. This invention sets a monitoring cycle to analyze the data collected by each photoelectric module. The duration of the monitoring cycle in this invention is 10 minutes. Several moments are evenly extracted within a single monitoring cycle and recorded as the detection moments for detecting the swing amplitude.

[0044] In this invention, the photoelectric module includes a transmitter and a receiver, which are integrated together and installed on the same side of a fixed slide rail. The oscillation amplitude of the detection point is determined by the transmitter emitting a light beam to the traveling cable and the receiver receiving the light reflected back from the surface of the traveling cable. The oscillation amplitude is the minimum distance between the center point of each light spot on the traveling cable and the center line. The center line is the line connecting the center point of the top of the well and the center point of the bottom of the well. Each light spot is a bright illuminated area formed when the light beam emitted by the transmitter at each detection point illuminates the surface of the traveling cable.

[0045] Specifically, for targets to be analyzed whose operating status is that the operating distance is less than the preset operating distance and the operating stability is greater than or equal to the preset operating stability, the operation analysis unit determines the setting method of the reference point.

[0046] The target operating state with a running distance less than the preset running distance and a running stability greater than or equal to the preset running stability is recorded as the first target state; the target operating state with a running distance greater than or equal to the preset running distance or a running stability less than the preset running stability is recorded as the second target state.

[0047] The vertical distance that the target to be analyzed needs to move in the longest travel is recorded as the running distance. The longest travel is the maximum travel distance that the target to be analyzed can move. For example, if the target to be analyzed is used in an office building with a height of 10 floors, its corresponding maximum travel distance is the running distance from the 1st floor to the 10th floor. An acceleration sensor is placed in the car of the target to be analyzed to obtain the maximum acceleration and minimum acceleration of the target to be analyzed in the most recent several monitoring periods. The absolute value of the difference between the maximum acceleration and the minimum acceleration in the monitoring period is recorded as the acceleration fluctuation. The running stability = 1 / acceleration fluctuation.

[0048] Regarding the number of monitoring cycles used to obtain acceleration, it is easy to understand that the higher the user's requirements for detection effect, the larger the number of monitoring cycles. This invention provides a value for the number of monitoring cycles. In this invention, the number of monitoring cycles used to obtain the acceleration of the target to be analyzed is 10, with the unit being individual cycles. In this embodiment of the invention, the preset running distance and preset running stability are set as follows: the preset running distance is 30 meters, and the preset running stability is... .

[0049] This invention provides a method for determining preset values, which include preset running distance, preset running stability, preset running stability, preset distance, preset adjustment urgency, preset distribution reference value, preset point spacing, data cycle stability threshold, swing amplitude threshold, and preset historical fault frequency. For example, for the preset running distance, the running distance of historical working conditions with detection efficiency meeting user requirements is extracted, and the average value of the running distance is recorded as the preset running distance. The running distance can be used to remove outliers. How to remove outliers is a matter of knowledge for those skilled in the art and does not need to be elaborated.

[0050] Several reference points are evenly set according to the longest stroke, and the reference points are set as detection points. The higher the user's requirements for the detection effect, the larger the number of detection points. When setting the detection points, the present invention provides a value for the number of detection points. In the present invention, the interval between any two adjacent detection points is 3m. The number of detection points = 1 + longest stroke / 3, and the number of detection points that is not an integer is rounded up.

[0051] Specifically, for targets to be analyzed whose operating status is that the operating distance is greater than or equal to the preset operating distance or the operating stability is less than the preset operating stability, the operation analysis unit determines the point setting method as optimized point setting.

[0052] Specifically, when the optimization analysis unit responds to the preset optimization conditions and executes the optimization point setting, if the data status is that the data period stability is greater than or equal to the data period stability threshold, the point optimization method is determined to be segmentation based on key extreme point locations.

[0053] For data where the data period stability is less than the data period stability threshold, the optimization method for determining the location is to increase the frequency of location detection.

[0054] The preset optimization condition is that the determination point setting method is optimized point setting.

[0055] The method for confirming the stability of the data cycle is as follows: obtain the swing amplitude corresponding to each detection point at several uniform detection times within the most recent complete monitoring cycle, and construct a swing curve for each detection time with the height of the detection point as the abscissa and the swing amplitude of the detection point as the ordinate. The stability of the data cycle is calculated as: maximum overlap length of the swing curve / average length of the swing curve. Here, the height of the detection point is the height of the detection point relative to the horizontal ground, and the maximum overlap length is the maximum length at which all swing curves overlap.

[0056] The value of the number of detection moments can be understood as follows: the higher the user's requirements for the detection effect, the larger the value of the number of detection moments, so as to obtain more swing amplitude data. This invention provides a value of 10 for the number of detection moments, in which the unit is one.

[0057] The data cycle stability threshold is determined by the user's requirements for detection performance. The higher the threshold value, the larger the data cycle stability threshold should be. This invention provides a data cycle stability threshold value of 0.85.

[0058] Point detection frequency = baseline point detection frequency × (data cycle stability threshold / data cycle stability); the number of detection moments within a single monitoring cycle is recorded as the point detection frequency. The value of the baseline point detection frequency increases with the user's requirements for detection effectiveness. This invention provides a baseline point detection frequency value of 10, where the unit is the number of points.

[0059] Specifically, in the process of dividing the segment based on the key extreme point, the optimization decision unit constructs several key segments with the location of each key extreme point as the center, and the length of each key segment is a preset distance.

[0060] The preset distance is determined based on the frequency of historical faults, and the preset distance is positively correlated with the frequency of historical faults.

[0061] For a single critical extreme point, the corresponding key section is a segment along the vertical direction of a fixed slide rail centered on that critical extreme point.

[0062] The key extreme points include the peak and trough positions on each swing curve. The preset distance = baseline distance × historical fault frequency / preset historical fault frequency; the historical fault frequency is the number of alarms of the target to be analyzed in the past year. This invention provides a value for the preset historical fault frequency, which is 8 times. The value of the baseline distance is larger when the user has higher requirements for the detection effect. This invention provides a value for the baseline distance, which is twice the interval distance between two adjacent detection points.

[0063] Specifically, the optimization decision-making unit records the detection points in key sections whose adjustment urgency is greater than or equal to the preset adjustment urgency as points to be moved.

[0064] The urgency of the adjustment is determined based on the swing deviation and swing fluctuation of the detection point;

[0065] The urgency of the adjustment is positively correlated with the swing deviation and the swing fluctuation.

[0066] The urgency of adjustment is calculated as β1 × deviation of oscillation + β2 × fluctuation of oscillation. Here, β1 and β2 are weighting coefficients, and β1 + β2 = 1. The values ​​of β1 and β2 are determined by the degree of influence of the deviation of oscillation on the urgency of adjustment; the greater the influence of the fluctuation of oscillation on the urgency of adjustment, the greater the value of β2. This invention provides a set of values ​​for β1 and β2, where β1 is 0.5 and β2 is 0.5.

[0067] For a single detection point, the swing amplitude over the most recent several monitoring periods is obtained, and the average value of the swing amplitude is recorded as the swing deviation of that detection point. The swing amplitude over a single monitoring period... ;in, For the first The swing amplitude of the detection point at each detection time. The number of detection times within a single monitoring cycle; oscillation fluctuation = ;in, For the first The amplitude of the swing over each monitoring cycle, for The average value of the swing amplitude over the monitoring period. This refers to the number of monitoring cycles.

[0068] Regarding the value of the number of monitoring cycles used to obtain the oscillation fluctuation, it is understood that the higher the user's requirements for the detection effect, the larger the value of the number of monitoring cycles, so as to obtain more data for subsequent point movement determination, thereby improving the accuracy and rationality of point movement. This invention provides a value for the number of monitoring cycles used to obtain the oscillation fluctuation, in which the number of monitoring cycles is 6.

[0069] Regarding the preset adjustment urgency value, the higher the user's requirements for the detection effect, the smaller the preset adjustment urgency value. This invention provides a preset adjustment urgency value, in which the preset adjustment urgency is 65.

[0070] Specifically, when the distribution reference value of the point to be moved is greater than or equal to the preset distribution reference value, the optimization decision unit determines to set the first moving point. The first moving point setting includes: clustering each point to be moved to obtain several first-class sub-segments; for each first-class sub-segment, determining the number of movable points within the first-class sub-segment based on the length of the first-class sub-segment; and for the second-class sub-segments, using the baseline number of movable points.

[0071] The distance between any two adjacent points to be moved within the first type of sub-segment is less than the preset distance between points.

[0072] The second type of sub-segment refers to all segments other than the first type of sub-segment.

[0073] For points to be moved whose distribution reference value is greater than or equal to the preset distribution reference value, a first moving point setting is determined; for points to be moved whose distribution reference value is less than the preset distribution reference value, a second moving point setting is determined.

[0074] Distribution reference value = length of effective segment / longest stroke; The traveling cable is used to detect the points to be moved in descending order, and the first point to be moved is recorded as the starting point and the last point to be moved is recorded as the ending point. The distance between the starting point and the ending point is recorded as the effective distance.

[0075] The longest paragraph that meets the preset conditions is recorded as the valid paragraph. The preset conditions are that all detection points within the valid paragraph are points to be moved.

[0076] The clustering process includes: taking the starting point as the detection starting point, obtaining the point to be moved that is closest to the detection starting point; if the distance between points is less than the preset distance between points, then the point to be moved is added to the target set of the starting point, and the above steps are repeated with the point to be moved as the starting point until the distance between points is greater than or equal to the preset distance between points, then the target set is completed, and the maximum length corresponding to the point to be moved in the target set is recorded as a sub-segment; and the point to be moved that is closest to the starting point is recorded as the starting point of another target set, and the distance detection is repeated until all points to be moved have completed the distance detection.

[0077] It is easy to understand that the higher the user's requirements for the detection effect, the larger the value of the preset distribution reference value. The present invention provides a preset distribution reference value of 0.4.

[0078] The distance between the starting point and the nearest point to be moved is recorded as the point spacing. For the preset point spacing, the higher the user's requirements for the detection effect, the smaller the preset point spacing value. This invention provides a preset point spacing value, in which the preset point spacing is 8, and the unit is m.

[0079] For a single sub-segment of type I, the corresponding number of movable points = the base number of movable points × [1 + (length of the sub-segment of type I / longest travel distance)], and rounds up for non-integer movable point numbers. The value of the base number of movable points is understood to be larger as the user's requirements for detection performance increase. This invention provides a value for the base number of movable points, where the base number of movable points is 1, and the unit is individual points. Two types of sub-segments are randomly selected for setting the base number of movable points.

[0080] Specifically, when the distribution reference value of the point to be moved is less than the preset distribution reference value, the optimization decision unit determines to set a second moving point. The second moving point setting includes: adjusting the point to be moved with the greatest urgency to be adjusted into a movable point, and using the movable point as the starting adjustment point, selecting points to be moved sequentially with a fixed step size until the selected position exceeds the longest travel distance, and then adjusting the selected points to be moved into movable points.

[0081] The fixed step size is the number of points to be moved between two adjacent starting adjustment points. It can be understood that the higher the user's requirements for the detection effect, the smaller the fixed step size will be. One fixed step size is provided. In this invention, the fixed step size is 2, and the unit is the number of points.

[0082] Specifically, the optimization decision unit determines the wake-up order of each detection point in the ordinary section according to the order of the swing stability of each detection point from large to small. The woken detection points are recorded as wake-up detection points, and the unwakeable detection points are put into dormancy. The woken detection points are detected for a fixed duration, and after the detection is completed, the wake-up detection points are put into dormancy.

[0083] The ordinary sections refer to all sections other than the key sections.

[0084] The method for confirming the swing stability is as follows: obtain the swing amplitude of each detection point within the most recent monitoring cycle, and obtain the swing amplitude difference of each ordinary section at each detection time. The swing amplitude difference = maximum swing amplitude in the ordinary section - minimum swing amplitude in the ordinary section. The swing stability = ;in, For the first The absolute value of the difference in swing amplitude at each detection time. The number of detection moments within a single monitoring cycle.

[0085] The fixed duration value is smaller when the user has higher requirements for detection efficiency. The fixed duration represents the time interval between two adjacent wake-up points in the time sequence. The present invention provides a fixed duration value of 30s.

[0086] Specifically, the early warning notification unit obtains the maximum swing amplitude of each photoelectric module within the monitoring period. If the maximum swing amplitude of any photoelectric module is greater than or equal to the swing amplitude threshold, a risk warning is issued.

[0087] During the monitoring period, each photoelectric module is continuously monitored, and the maximum value of the swing amplitude of the photoelectric module during the monitoring period is recorded as the maximum swing amplitude. It is easy to understand that the higher the user's requirements for elevator operation safety, the smaller the swing amplitude threshold value should be. This invention provides a swing amplitude threshold value of 120 mm.

[0088] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles 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 scope of protection of the present invention.

Claims

1. An elevator cable fault early warning system based on intelligent monitoring, characterized in that, include: The operation analysis unit is used to determine the target operation status of the target to be analyzed based on the operation distance and operation stability, and to determine whether to adjust the point setting method from the baseline point setting to the optimized point setting based on the target operation status. An optimization analysis unit, connected to the running analysis unit, is used to determine the point optimization method based on the comparison result of data cycle stability and data cycle stability threshold, which is to divide the area into sections based on key extreme points or increase the detection frequency of points. The optimization decision unit is connected to the operation analysis unit and the optimization analysis unit respectively. It is used to determine key sections and ordinary sections based on key extreme value points. For key sections, it determines whether the detection point is a point to be moved based on the urgency of adjustment, and determines the number of movable points based on the distribution reference value of the points to be moved. For ordinary sections, it determines the wake-up detection points based on the swing stability of each detection point. The early warning notification unit is connected to the operation analysis unit, the optimization analysis unit, and the optimization decision unit respectively, and is used to determine whether to issue a risk warning based on the swing amplitude of each photoelectric module. For targets whose operating status is that the operating distance is less than the preset operating distance and the operating stability is greater than or equal to the preset operating stability, the operation analysis unit determines the setting method of the reference point. For targets whose operating status is that the operating distance is greater than or equal to the preset operating distance or the operating stability is less than the preset operating stability, the operation analysis unit determines the point setting method to be optimized. When the optimization analysis unit responds to the preset optimization conditions, if the data state is that the data period stability is greater than or equal to the data period stability threshold, the point optimization method is to divide the area based on the key extreme point. For data where the data period stability is less than the data period stability threshold, the optimization method for determining the location is to increase the frequency of location detection. The preset optimization condition is that the determination point setting method is optimized point setting.

2. The elevator cable fault early warning system based on intelligent monitoring according to claim 1, characterized in that, In the process of segmenting, the optimization decision-making unit constructs several key segments with the location of each key extreme point as the center, and the length of each key segment is a preset distance. The preset distance is determined based on the frequency of historical faults, and the preset distance is positively correlated with the frequency of historical faults.

3. The elevator cable fault early warning system based on intelligent monitoring according to claim 2, characterized in that, The optimized decision-making unit records the detection points in key sections with an adjustment urgency greater than or equal to the preset adjustment urgency as points to be moved. The urgency of the adjustment is determined based on the swing deviation and swing fluctuation of the detection point; The urgency of the adjustment is positively correlated with the swing deviation and the swing fluctuation.

4. The elevator cable fault early warning system based on intelligent monitoring according to claim 3, characterized in that, When the distribution reference value of the point to be moved is greater than or equal to the preset distribution reference value, the optimization decision unit determines to set the first moving point. The first moving point setting includes: clustering each point to be moved to obtain several first-class sub-segments; for each first-class sub-segment, determining the number of movable points within the first-class sub-segment based on the length of the first-class sub-segment; and for the second-class sub-segments, using the baseline number of movable points. The distance between any two adjacent points to be moved within the first type of sub-segment is less than the preset distance between points. The second type of sub-segment refers to all segments other than the first type of sub-segment.

5. The elevator cable fault early warning system based on intelligent monitoring according to claim 4, characterized in that, When the distribution reference value of the point to be moved is less than the preset distribution reference value, the optimization decision unit determines to set a second moving point. The second moving point setting includes: adjusting the point to be moved with the greatest urgency to a movable point, and using the movable point as the starting adjustment point, selecting points to be moved in sequence with a fixed step size, and adjusting the selected points to be moved to movable points.

6. The elevator cable fault early warning system based on intelligent monitoring according to claim 2, characterized in that, The optimization decision unit determines the wake-up order of each detection point in the ordinary section according to the order of the swing stability of each detection point from large to small. The awakened detection points are recorded as awakened detection points, and the unawakened detection points are put into dormancy. The awakened detection points are detected for a fixed duration. After the detection is completed, the awakened detection points are put into dormancy. The ordinary sections refer to all sections other than the key sections.

7. The elevator cable fault early warning system based on intelligent monitoring according to claim 1, characterized in that, The early warning notification unit obtains the maximum swing amplitude of each photoelectric module within the monitoring period. If the maximum swing amplitude of any photoelectric module is greater than or equal to the swing amplitude threshold, a risk warning is issued.

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