A bridge expansion joint monitoring method, device, electronic equipment and medium

Abstract

The present application relates to a bridge expansion joint monitoring method, device, electronic device and medium, and to the field of bridge expansion joint monitoring. The method includes obtaining daily images of the bridge expansion joint within a preset time and daily weather in the area where the bridge expansion joint is located, judging whether there is a first date with a temperature exceeding a preset temperature threshold and a second date with a precipitation exceeding a preset precipitation threshold, and if so, determining the total precipitation of all second dates and determining a first quantity of the first date, obtaining a vibration change graph of the cable, and determining a displacement change graph of the cable based on the image, determining the abnormality level of the cable based on the total precipitation, the first quantity, the vibration change graph and the displacement change graph, and judging whether the cable needs to be repaired based on the abnormality level. The present application has the effect of improving the efficiency of cable maintenance inspection and timely discovering cable wear.

Description

Technical Field

[0001] The present application relates to the field of bridge expansion joint monitoring, and in particular to a bridge expansion joint monitoring method, device, electronic equipment and medium. Background Art

[0002] With the rapid development and improvement of the transportation network, more and more bridges are being built in the process of railway construction, and there are more and more expansion joints between bridges. Bridge cables are an important backbone of the railway power transmission and distribution system. The laying of cables will pass through expansion joints. At present, cable brackets have been installed at the expansion joints, and the cables are overlapped on the brackets. However, due to the influence of thermal expansion and contraction and the high-speed passage of trains, the high temperature in summer and the vibration of the bridge will cause the expansion joints of the bridge to change, which in turn drives the brackets to cause cable wear. In addition, there are more severe weather in summer, and the corrosion and immersion of rainwater will also cause damage to the cables. If the cables are severely worn, it will cause great harm to traffic safety. Although cable brackets are currently used, cable wear still exists, and cables still need to be inspected regularly. The existing maintenance and inspection methods are inefficient and cannot detect cable wear in time. Summary of the invention

[0003] In order to improve the efficiency of cable maintenance and inspection and to be able to promptly detect cable wear, the present application provides a bridge expansion joint monitoring method, device, electronic equipment and medium.

[0004] In a first aspect, the present application provides a bridge expansion joint monitoring method, which adopts the following technical solution:

[0005] A bridge expansion joint monitoring method, comprising:

[0006] Acquire daily images of the bridge expansion joint and daily weather in the area where the bridge expansion joint is located within a preset time, wherein the weather includes temperature and precipitation;

[0007] Determine whether there is a first date when the temperature exceeds a preset temperature threshold and a second date when the precipitation exceeds a preset precipitation threshold;

[0008] If so, determining the sum of the precipitation for all second dates and determining the first quantity for the first date;

[0009] Acquire a vibration change graph of the cable, and determine a displacement change graph of the cable based on the image, wherein the displacement change graph includes a lateral displacement graph and a longitudinal displacement graph;

[0010] determining an abnormality level of the cable based on the total precipitation amount, the first quantity, the vibration change graph, and the displacement change graph;

[0011] It is determined whether the cable needs maintenance based on the abnormality level.

[0012] By adopting the above technical solution, daily images of the expansion joints of the bridge and daily weather in the area where the expansion joints of the bridge are located within a preset time are obtained to determine whether there is a first date when the temperature exceeds the preset temperature threshold and a second date when the precipitation exceeds the preset precipitation threshold. Excessively high temperature may cause changes in the expansion joints of the bridge and thus cause wear of the cables, while excessive precipitation may cause immersion and corrosion of the cables. If so, the total precipitation of all the second dates is determined. The greater the total precipitation, the more serious the immersion and corrosion caused to the cables, and the first number of the first date is determined. The greater the first number, the greater the impact of high temperature on the changes in the expansion joints of the bridge and the exposure of the cables. The more serious the impact, the different changes in the expansion joints of the bridge when the train passes will cause different vibration effects on the cable. Therefore, the vibration change diagram of the cable is obtained. The vibration change diagram can illustrate the number of vibrations and the amplitude of the cable, and the displacement change diagram of the cable is determined based on the image. The displacement change diagram can characterize the displacement of the cable. The abnormality level of the cable is determined based on the total precipitation, the first quantity, the vibration change diagram and the displacement change diagram. Determining the abnormality level can make it more convenient to judge whether the cable needs maintenance. Judging whether the cable needs maintenance based on the abnormality level can improve the efficiency of cable maintenance and inspection, and can promptly detect the wear of the cable.

[0013] In another possible implementation, the determining the abnormality level of the cable based on the total precipitation, the first quantity, the vibration change graph, and the displacement change graph includes:

[0014] Determine the number of all amplitude segments based on the vibration change graph, and determine the number of abnormal amplitude segments exceeding a preset amplitude value and the proportion of abnormal amplitude segments, wherein the proportion of abnormal amplitude segments is the ratio of the number of abnormal amplitude segments to the number of all amplitude segments;

[0015] determining a displacement score based on the lateral displacement map and the longitudinal displacement map;

[0016] Determine a first score based on the total number of amplitude segments, the proportion of abnormal amplitude segments, the displacement score, and respective first coefficients;

[0017] An abnormality level of the cable is determined based on the total precipitation amount, the first number, and the first score.

[0018] In another possible implementation manner, determining the displacement score based on the lateral displacement map and the longitudinal displacement map includes:

[0019] Determine the number of lateral displacement changes and a first change amount of each lateral displacement based on the lateral displacement map, and determine the number of longitudinal displacement changes and a second change amount of each longitudinal displacement based on the longitudinal displacement map;

[0020] Calculate a first proportion of the first change amount exceeding a preset first change threshold, and a second proportion of the second change amount exceeding a preset second change threshold;

[0021] A displacement score is determined based on the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, the second proportion and the respective second coefficients.

[0022] In another possible implementation, determining the abnormality level of the cable based on the total precipitation, the first quantity, and the first score includes:

[0023] Determine a third score based on the precipitation sum, the first number, the first score, and respective corresponding third coefficients;

[0024] A target score interval where the third score is located is determined from a plurality of preset score intervals, and a preset abnormality level corresponding to the target score interval is determined as the abnormality level of the cable.

[0025] In another possible implementation, the method further includes:

[0026] Based on the image, determine whether there is a foreign object on the platform of the bracket, and determine the smoothness of the transition between the platform of the bracket and the two sides of the bracket;

[0027] If foreign matter is present, determining the abnormality of the stent based on the foreign matter and the smoothness;

[0028] Based on the temperature, determine the daily morning and evening temperature difference within the preset time, the maximum temperature difference between two adjacent days, and the minimum temperature difference between two adjacent days, and calculate a first average value of the maximum temperature difference and a second average value of the minimum temperature difference within the preset time;

[0029] Determine whether the temperature difference between morning and evening exceeds a preset temperature difference threshold, and if so, determine a second amount exceeding the preset temperature difference threshold;

[0030] determining a fourth score based on the second number, the first average, the second average, the degree of abnormality, and respective fourth coefficients;

[0031] The abnormality level of the cable is adjusted based on the fourth score.

[0032] In another possible implementation, judging whether there is a foreign object on the platform of the bracket based on the image, and determining the smoothness of the transition between the platform of the bracket and the two sides of the bracket, and if there is a foreign object, determining the abnormality of the bracket based on the foreign object and the smoothness, includes:

[0033] Performing feature recognition on the image to determine whether there is a foreign object on the platform of the bracket;

[0034] Performing edge detection on the image to obtain the contour of the transition, and calculating the similarity between the contour and the straight line, wherein the similarity represents the smoothness;

[0035] If there are foreign objects, determine the type of each foreign object, and select target foreign objects belonging to a preset type, wherein the preset type is a type that poses a threat to the cable;

[0036] The number of the target foreign bodies is determined, and a score is determined based on the number, the similarity, and the fifth coefficient corresponding to each of them, wherein the score represents the abnormality of the stent.

[0037] In another possible implementation, the method further includes:

[0038] If the cable needs maintenance, the abnormal level and prompt information are sent to the terminal equipment at the maintenance site.

[0039] In a second aspect, the present application provides a bridge expansion joint monitoring device, which adopts the following technical solution:

[0040] A bridge expansion joint monitoring device, comprising:

[0041] The first acquisition module is used to acquire daily images of the bridge expansion joint and daily weather in the area where the bridge expansion joint is located within a preset time, wherein the weather includes temperature and precipitation;

[0042] A first judgment module is used to judge whether there is a first date when the temperature exceeds a preset temperature threshold and a second date when the precipitation exceeds a preset precipitation threshold;

[0043] a first determination module for determining the sum of precipitation for all second dates, if any, and determining a first quantity for the first date;

[0044] A second acquisition module is used to acquire a vibration change graph of the cable, and determine a displacement change graph of the cable based on the image, wherein the displacement change graph includes a lateral displacement graph and a longitudinal displacement graph;

[0045] A second determination module, configured to determine an abnormality level of the cable based on the total precipitation amount, the first quantity, the vibration change graph, and the displacement change graph;

[0046] The second judgment module is used to judge whether the cable needs to be repaired based on the abnormality level.

[0047] By adopting the above technical solution, the first acquisition module obtains the daily images of the bridge expansion joints and the daily weather in the area where the bridge expansion joints are located within a preset time. The first judgment module judges whether there is a first date when the temperature exceeds the preset temperature threshold and the second date when the precipitation exceeds the preset precipitation threshold. Too high temperature may cause changes in the bridge expansion joints and thus cause wear of the cables. Too much precipitation may cause immersion and corrosion of the cables. If so, the first determination module determines the total precipitation of all the second dates. The larger the total precipitation, the more serious the immersion and corrosion caused to the cables, and determines the first number of the first date. The larger the first number, the greater the impact of high temperature on the changes in the bridge expansion joints and the exposure of the cables. The more serious the impact, because the vibration impact on the cable will be different due to the different changes in the expansion joints of the bridge when the train passes, the second acquisition module obtains the vibration change diagram of the cable, the vibration change diagram can explain the number of vibrations and the amplitude of the cable, and determines the displacement change diagram of the cable based on the image, the displacement change diagram can characterize the displacement of the cable, the second determination module determines the abnormality level of the cable based on the total precipitation, the first number, the vibration change diagram and the displacement change diagram, determining the abnormality level can more conveniently determine whether the cable needs maintenance, the second judgment module determines whether the cable needs maintenance based on the abnormality level, thereby improving the efficiency of cable maintenance and inspection, and being able to promptly detect cable wear.

[0048] In another possible implementation, when the second determination module determines the abnormality level of the cable based on the total precipitation, the first quantity, the vibration change graph, and the displacement change graph, it is specifically used to:

[0049] Determine the number of all amplitude segments based on the vibration change graph, and determine the number of abnormal amplitude segments exceeding a preset amplitude value and the proportion of abnormal amplitude segments, wherein the proportion of abnormal amplitude segments is the ratio of the number of abnormal amplitude segments to the number of all amplitude segments;

[0050] determining a displacement score based on the lateral displacement map and the longitudinal displacement map;

[0051] Determine a first score based on the total number of amplitude segments, the proportion of abnormal amplitude segments, the displacement score, and respective first coefficients;

[0052] An abnormality level of the cable is determined based on the total precipitation amount, the first number, and the first score.

[0053] In another possible implementation manner, when determining the displacement score based on the lateral displacement map and the longitudinal displacement map, the second determination module is specifically configured to:

[0054] Determine the number of lateral displacement changes and a first change amount of each lateral displacement based on the lateral displacement map, and determine the number of longitudinal displacement changes and a second change amount of each longitudinal displacement based on the longitudinal displacement map;

[0055] Calculate a first proportion of the first change amount exceeding a preset first change threshold, and a second proportion of the second change amount exceeding a preset second change threshold;

[0056] A displacement score is determined based on the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, the second proportion and the respective second coefficients.

[0057] In another possible implementation, when the second determination module determines the abnormality level of the cable based on the total precipitation, the first quantity, and the first score, it is specifically configured to:

[0058] Determine a third score based on the precipitation sum, the first number, the first score, and respective corresponding third coefficients;

[0059] A target score interval where the third score is located is determined from a plurality of preset score intervals, and a preset abnormality level corresponding to the target score interval is determined as the abnormality level of the cable.

[0060] In another possible implementation, the system further includes:

[0061] a smoothness determination module, used to determine whether there is a foreign object on the platform of the bracket based on the image, and to determine the smoothness of the transition between the platform of the bracket and the two sides of the bracket;

[0062] an abnormality determination module, configured to determine the abnormality of the stent based on the foreign matter and the smoothness if a foreign matter is present;

[0063] A temperature difference determination module is used to determine the daily morning and evening temperature difference within the preset time, the maximum temperature difference between two adjacent days, and the minimum temperature difference between two adjacent days based on the temperature, and calculate a first average value of the maximum temperature difference and a second average value of the minimum temperature difference within the preset time;

[0064] A quantity determination module, used to determine whether the temperature difference between morning and evening exceeds a preset temperature difference threshold, and if so, determine a second quantity exceeding the preset temperature difference threshold;

[0065] a score determination module, configured to determine a fourth score based on the second number, the first average value, the second average value, the abnormality, and respective fourth coefficients;

[0066] An adjustment module is configured to adjust the abnormality level of the cable based on the fourth score.

[0067] In another possible implementation, when the smoothness determination module determines whether there is a foreign object on the platform of the bracket based on the image and determines the smoothness of the transition between the platform of the bracket and the two sides of the bracket, it is specifically used to:

[0068] Performing feature recognition on the image to determine whether there is a foreign object on the platform of the bracket;

[0069] Edge detection is performed on the image to obtain a contour at the transition point, and a similarity between the contour and a straight line is calculated, wherein the similarity represents the smoothness.

[0070] In another possible implementation, when the abnormality determination module determines the abnormality of the bracket based on the foreign matter and the smoothness if there is a foreign matter, it is specifically used to:

[0071] If there are foreign objects, determine the type of each foreign object, and select target foreign objects belonging to a preset type, wherein the preset type is a type that poses a threat to the cable;

[0072] The number of the target foreign bodies is determined, and a score is determined based on the number, the similarity, and the fifth coefficient corresponding to each of them, wherein the score represents the abnormality of the stent.

[0073] In another possible implementation, the system further includes:

[0074] The prompt module is used to send the abnormal level and prompt information to the terminal equipment at the maintenance site if the cable needs maintenance.

[0075] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0076] An electronic device, comprising:

[0077] at least one processor;

[0078] Memory;

[0079] At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and at least one is configured to: execute a bridge expansion joint monitoring method shown in any possible implementation of the first aspect.

[0080] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0081] A computer-readable storage medium, when the computer program is executed in a computer, causes the computer to execute a bridge expansion joint monitoring method as described in any one of the first aspects.

[0082] In summary, the present application includes at least one of the following beneficial technical effects:

[0083] Get the daily images of the bridge expansion joints and the daily weather in the area where the bridge expansion joints are located within the preset time, and determine whether there is a first date with a temperature exceeding the preset temperature threshold and a second date with a precipitation exceeding the preset precipitation threshold. Excessively high temperatures may cause changes in the bridge expansion joints and thus cause wear of the cables, and excessive precipitation may cause immersion and corrosion of the cables. If so, determine the total precipitation of all second dates. The greater the total precipitation, the more serious the immersion and corrosion caused to the cables, and determine the first number of the first date. The greater the first number, the more serious the impact of high temperature on the changes in the bridge expansion joints and the exposure of the cables. Since the vibration impact on the cable will be different due to the different changes in the expansion joints of the bridge when the train passes, the vibration change diagram of the cable is obtained. The vibration change diagram can illustrate the vibration frequency and amplitude of the cable, and the displacement change diagram of the cable is determined based on the image. The displacement change diagram can characterize the displacement of the cable. The abnormality level of the cable is determined based on the total precipitation, the first quantity, the vibration change diagram and the displacement change diagram. Determining the abnormality level can make it more convenient to judge whether the cable needs maintenance. Judging whether the cable needs maintenance based on the abnormality level can improve the efficiency of cable maintenance and inspection, and can timely detect the wear of the cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 It is a flow chart of a bridge expansion joint monitoring method according to an embodiment of the present application.

[0085] Figure 2 It is a specific example diagram of the cable bracket in the embodiment of the present application.

[0086] Figure 3 It is a schematic diagram of a specific process for determining the cable abnormality level in an embodiment of the present application.

[0087] Figure 4 It is a schematic diagram of a specific process for adjusting the cable abnormality level in an embodiment of the present application.

[0088] Figure 5 It is a schematic diagram of a specific process for determining the abnormality of a stent in an embodiment of the present application.

[0089] Figure 6 It is a structural schematic diagram of a bridge expansion joint monitoring device according to an embodiment of the present application.

[0090] Figure 7 It is a structural schematic diagram of an electronic device according to an embodiment of the present application.

[0091] Figure numerals: 2, cable bracket; 3, bridge expansion joint; 4, cable; 50, bridge expansion joint monitoring device; 501, first acquisition module; 502, first judgment module; 503, first determination module; 504, second acquisition module; 505, second determination module; 506, second judgment module; 60, electronic device; 601, processor; 602, bus; 603, memory; 604, transceiver. DETAILED DESCRIPTION

[0092] The present application is further described in detail below in conjunction with the accompanying drawings.

[0093] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0094] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0095] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0096] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0097] The embodiment of the present application provides a bridge expansion joint monitoring method, which is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and the embodiment of the present application does not limit this. Figure 1 As shown, the method includes step S101, step S102, step S103, step S104, step S105 and step S106, wherein:

[0098] S101, obtaining daily images of the bridge expansion joint and daily weather conditions of the area where the bridge expansion joint is located within a preset time.

[0099] Among them, weather includes temperature and precipitation.

[0100] For the embodiments of this application, Figure 2 As shown, the cable bracket 2 is installed above the bridge expansion joint 3, and the cable 4 is placed on the bracket 2. The electronic device obtains weather forecast data through the Internet or server, and then obtains the daily weather of the area where the bridge expansion joint 3 is located within a preset time. The weather includes temperature and precipitation. The staff installs a camera device in advance at a position that can cover the bridge expansion joint 3. The camera device and the electronic device are connected by wire or wirelessly. The camera device collects images at the bridge expansion joint 3, which includes the cable bracket 2. The electronic device obtains daily images of the bridge expansion joint 3 within a preset time, wherein the preset time is a certain period of time in history, which can be selected and adjusted according to actual needs.

[0101] S102, determining whether there is a first date when the temperature exceeds a preset temperature threshold and a second date when the precipitation exceeds a preset precipitation threshold.

[0102] For the embodiment of the present application, excessively high temperature will cause thermal expansion of the bridge, thereby causing the expansion joint to become smaller, while excessive precipitation may cause immersion corrosion to the cable. The electronic device compares the daily temperature with a preset temperature threshold. If the temperature exceeds the preset temperature threshold, it is considered high temperature. It is determined whether there is a first date when the temperature exceeds the preset temperature threshold, and the daily precipitation is compared with the preset precipitation threshold to determine whether there is a second date when the precipitation exceeds the preset precipitation threshold.

[0103] If the electronic device determines that the temperature on a certain day exceeds a preset temperature threshold and the precipitation also exceeds a preset precipitation threshold, then this date belongs to both the first date and the second date.

[0104] S103, if it exists, determine the total precipitation of all second dates, and determine the first quantity of the first date.

[0105] For the embodiment of the present application, if it exists, it means that the cable at the expansion joint may have been affected by the temperature and precipitation and damaged abnormally. The electronic device sums up the precipitation of all the second dates to obtain the total precipitation. The total precipitation represents the precipitation situation at the cable, and sums up and counts the number of the first date to obtain the first number. The first number represents the number of high temperature days the cable is exposed to.

[0106] S104, obtaining a vibration change diagram of the cable, and determining a displacement change diagram of the cable based on the image.

[0107] The displacement change diagram includes a lateral displacement diagram and a longitudinal displacement diagram.

[0108] For the embodiment of the present application, the staff marks a circle of the cable at a certain position above the bracket platform with a color different from the cable color in advance, such as the center point of the cable on the platform, so as to facilitate the displacement of the cable, and installs a vibration sensor, which can be installed on the cable or on the bracket, such as the marked position of the cable or the center point on the bracket. The vibration sensor is wirelessly connected to the electronic device, the vibration sensor collects the vibration data of the cable, the electronic device obtains it, and produces a vibration change graph with the vibration data.

[0109] The changes in the expansion joints of the bridge drive the bracket to cause the cable to move. The cable may produce a lateral displacement consistent with the cable laying direction, or a longitudinal displacement consistent with the expansion joint direction. The electronic equipment analyzes the movement position of the marked part on the image and the cable to obtain the displacement change of the marked part and generate a displacement change graph. The displacement change graph includes a lateral displacement graph and a longitudinal displacement graph. If there are multiple cables, each cable can be analyzed separately using the above method.

[0110] S105, determining an abnormality level of the cable based on the total precipitation, the first quantity, the vibration change graph, and the displacement change graph.

[0111] For the embodiments of the present application, the total precipitation represents the precipitation conditions at the cable, the first quantity represents the number of high temperature days the cable is exposed to, and the vibration change graph and the displacement change graph represent the vibration and displacement conditions of the cable. All three will affect the abnormality of the cable, and the effects on the cable will be superimposed. The total precipitation, the first quantity, the vibration change graph and the displacement change graph are all important factors affecting the cable abnormality. The electronic device determines the abnormality level of the cable based on the total precipitation, the first quantity, the vibration change graph and the displacement change graph. The higher the abnormality level, the more serious the cable wear. The determination of the abnormality level can facilitate the knowledge of the abnormality of the cable.

[0112] S106, judging whether the cable needs to be repaired based on the abnormality level.

[0113] For the embodiments of the present application, the staff may store the preset maintenance level in the electronic device in advance. If the abnormal level of the cable exceeds the preset maintenance level, maintenance is required. Therefore, the electronic device determines whether the cable needs maintenance based on the abnormal level. Assuming that the abnormal level of the cable is two, the preset maintenance level is one, and the abnormal level of the cable exceeds the preset maintenance level, the electronic device determines that the cable needs maintenance. If the abnormal level of the cable is one and does not exceed the preset maintenance level, then the cable does not need maintenance. The total precipitation and the first quantity are determined by the temperature and precipitation, and the vibration change diagram and the displacement change diagram of the cable are obtained. The abnormal level of the cable is determined based on the total precipitation, the first quantity, the vibration change diagram, and the displacement change diagram. Then, the abnormal level of the cable is determined, and whether the cable needs maintenance is determined by the abnormal level, so that the cable can be repaired in a targeted manner, the efficiency of cable maintenance inspection is improved, and the wear of the cable can be discovered in time.

[0114] In a possible implementation of the embodiment of the present application, in step S105, the abnormal level of the cable is determined based on the total precipitation, the first quantity, the vibration change graph and the displacement change graph, specifically including step S1051, step S1052, step S1053 and step S1054, such as Figure 3 As shown,

[0115] S1051, determining the number of all amplitude segments based on the vibration change graph, and determining the number of abnormal amplitude segments exceeding a preset amplitude value and the proportion of the abnormal amplitude segments.

[0116] The abnormal amplitude segment ratio is the ratio of the number of abnormal amplitude segments to the number of all amplitude segments.

[0117] For the embodiments of the present application, when a train passes through a bridge expansion joint, the cable is vibrated, or when a train passes through a bridge expansion joint, the cable bracket is vibrated, which in turn causes the cable to vibrate under the influence of resonance. The electronic device determines the total number of amplitude segments through the vibration change diagram collected by the vibration sensor. Each vibration of the cable constitutes each amplitude segment, and the amplitude of the cable vibration caused by the size of the change in the bridge expansion joint or the size of the bracket vibration will also be different. The total number of amplitude segments reflects the vibration of the cable. The electronic device determines the number of abnormal amplitude segments that exceed the preset amplitude value, and determines that the ratio of the number of abnormal amplitude segments to the total number of amplitude segments is the abnormal amplitude segment ratio. The larger the abnormal amplitude segment ratio, the more intense the vibration of the cable and the greater the impact on cable wear.

[0118] S1052, determining a displacement score based on the lateral displacement map and the longitudinal displacement map.

[0119] For the embodiments of the present application, each lateral displacement and longitudinal displacement of the cable will cause certain wear on the cable. The greater the displacement or the more times the displacement occurs, the greater the wear on the cable. Therefore, the electronic device determines the displacement score based on the lateral displacement graph and the longitudinal displacement graph. The displacement score represents the degree of displacement of the cable, and further represents the wear of the cable.

[0120] S1053: Determine a first score based on the total number of amplitude segments, the proportion of abnormal amplitude segments, the displacement score, and the respective first coefficients.

[0121] For the embodiment of the present application, the more amplitude segments there are, the more times the cable vibrates, the larger the proportion of abnormal amplitude segments, the larger the amplitude of the cable, and the larger the displacement score, the more violent the displacement of the cable. All three are important factors affecting cable wear. Therefore, the electronic device determines the first score based on the total number of amplitude segments, the proportion of abnormal amplitude segments, the displacement score and their respective first coefficients. For example, the total number of amplitude segments is 180, the proportion of abnormal amplitude segments is 0.6, and the displacement score is 8. The first coefficients of the total number of amplitude segments, the proportion of abnormal amplitude segments and the displacement score are 0.04, 8 and 0.5 respectively. Then the electronic device determines the first score as 180×0.04+0.6×8+8×0.5=16.

[0122] S1054, determining the abnormality level of the cable based on the total precipitation, the first quantity, and the first score.

[0123] For the embodiment of the present application, the total precipitation represents the precipitation situation at the cable, the first quantity represents the number of high temperature days the cable is exposed to, and the first score represents the vibration and displacement of the cable. All three will affect the abnormality of the cable, and the impacts on the cable will be superimposed. The abnormality level of the cable needs to be judged based on the three factors. Therefore, the electronic device determines the abnormality level of the cable based on the total precipitation, the first quantity and the first score.

[0124] In a possible implementation of the embodiment of the present application, the displacement score is determined based on the lateral displacement map and the longitudinal displacement map in step S1052, which specifically includes step 1, step 2 and step 3, wherein:

[0125] Step 1: determine the number of lateral displacement changes and the first change amount of each lateral displacement based on the lateral displacement map, and determine the number of longitudinal displacement changes and the second change amount of each longitudinal displacement based on the longitudinal displacement map.

[0126] For the embodiment of the present application, the electronic device records each lateral displacement based on the lateral displacement graph and statistically obtains the number of lateral displacement changes and the first change amount of each lateral displacement. Similarly, the number of longitudinal displacement changes and the second change amount of each longitudinal displacement are determined based on the longitudinal displacement graph. The more changes, the more wear on the cable. The first change amount is the moving distance at each lateral displacement mark of the cable, which represents the length of the wear on the cable in contact with the bracket platform. The second change amount is the moving distance of each longitudinal displacement of the cable, which represents the distance of multiple longitudinal frictions generated between a certain point on the cable and the bracket platform.

[0127] Step 2: Calculate a first percentage of the first change amount exceeding a preset first change threshold, and a second percentage of the second change amount exceeding a preset second change threshold.

[0128] For the embodiment of the present application, the electronic device compares each first change amount with the preset first change threshold, screens out the first change amounts that exceed the preset first change threshold and counts the number, calculates the ratio of the first change amounts to all the first change amounts to obtain the first proportion, and similarly calculates the second proportion of the second change amounts that exceed the preset second change threshold. The larger the first proportion, the larger the wear area of ​​the cable, and the larger the second proportion, the more severe the longitudinal friction at a certain point of the cable.

[0129] Step three, determining the displacement score based on the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, the second proportion and the respective second coefficients.

[0130] For the embodiments of the present application, the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, the second proportion, etc. are all important factors affecting the displacement of the cable. Therefore, the electronic device determines the displacement score based on the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, the second proportion and their respective second coefficients. The determination of the displacement score characterizes the degree of displacement of the cable, and further characterizes the wear of the cable. For example, the number of lateral displacement changes of the cable is 50, the number of longitudinal displacement changes is 90, the first proportion is 0.4, and the second proportion is 0.8. The second coefficients of the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, and the second proportion are 0.04, 0.06, 4, and 6 respectively. Then, the electronic device calculates the displacement score as 50×0.04+90×0.06+0.4×4+0.8×6=13.8.

[0131] In a possible implementation of the embodiment of the present application, in step S1054, determining the abnormality level of the cable based on the total precipitation, the first quantity, and the first score specifically includes step 4 and step 5, wherein:

[0132] Step 4: determining a third score based on the total precipitation, the first quantity, the first score and the respective corresponding third coefficients.

[0133] For the embodiment of the present application, the greater the total precipitation, the greater the impact on the cable immersion corrosion, the higher the abnormal level corresponding to the cable, the more the first number of dates exceeding the preset temperature threshold, the more high temperature exposure the cable is exposed to, which will cause the protective layer on the cable surface to soften, making the cable more easily worn, and the thermal expansion of the bridge causes the expansion joint to become smaller, which will cause more serious wear on the cable, and the higher the abnormal level of the cable will be. The higher the first score, the more serious the wear caused by cable vibration and displacement, and the higher the abnormal level of the cable. Therefore, the electronic device determines the third score based on the total precipitation, the first number, the first score and the respective third coefficients, and the third score represents the abnormal degree of the cable. For example, the total precipitation is 55mm, the first number is 3, and the first score is 16. The third coefficients of the total precipitation, the first number, and the first score are 0.2, 3, and 0.8 respectively. The electronic device calculates the third score as 55×0.2+3×3+16×0.8=32.8.

[0134] Step 5: determine a target score interval where the third score is located from a plurality of preset score intervals, and determine a preset abnormality level corresponding to the target score interval as the abnormality level of the cable.

[0135] For the embodiment of the present application, the staff stores the preset score intervals and the corresponding preset abnormality levels in the electronic device in advance. The abnormality level corresponding to each preset score interval is calculated in advance or obtained by experimental testing by the staff. The higher the third score, the higher the abnormality level of the cable. The electronic device determines the abnormality level of the cable based on the score interval and abnormality level corresponding to the third score.

[0136] A possible implementation of the embodiment of the present application, after step S106, further includes steps S1, S2, S3, S4, S5 and S6, such as Figure 4 As shown,

[0137] Step S1, judging whether there is foreign matter on the platform of the bracket based on the image, and determining the smoothness of the transition between the platform of the bracket and the two sides of the bracket.

[0138] For the embodiment of the present application, the electronic device performs feature recognition on the image to determine whether there is a foreign object on the platform of the bracket. If there is a foreign object on the platform of the bracket, the lateral and longitudinal displacements of the cable will cause friction with the foreign object, which may cause wear on the cable.

[0139] like Figure 2 As shown, the transition point is where the platform transitions to the slopes on both sides. The cable 4 is mainly in contact with the transition point under the action of gravity, and the contact area between the transition point and the cable 4 is small, so it is easy to wear.

[0140] The electronic device performs image-based analysis to determine the smoothness of the transition between the bracket's platform and the sides of the bracket. The less smooth the transition, the more severe the cable wear.

[0141] Step S2: If there is foreign matter, determine the abnormality of the stent based on the foreign matter and the smoothness.

[0142] For the embodiments of the present application, if there are foreign objects, the more foreign objects there are, the more wear points there are on the bracket, and the friction between the cable and the bracket will increase, increasing the friction between them, causing more severe wear on the platform of the bracket. Smoothness characterizes the degree of wear at the transition point on both sides of the bracket, both of which affect the abnormality of the bracket. Therefore, the electronic device determines the abnormality of the bracket based on foreign objects and smoothness.

[0143] Step S3, based on the temperature, determine the daily morning and evening temperature difference within a preset time, the maximum temperature difference between two adjacent days, and the minimum temperature difference between two adjacent days, and calculate a first average value of the maximum temperature difference and a second average value of the minimum temperature difference within the preset time.

[0144] For the embodiment of the present application, the electronic device determines the daily morning and evening temperature difference based on the maximum temperature and the minimum temperature of each day within a preset time. The morning and evening temperature difference characterizes the daily temperature difference change between morning and evening, and determines the maximum temperature difference and the minimum temperature difference between two adjacent days, characterizing the change in the maximum temperature and the change in the minimum temperature between two adjacent days. For example, the maximum temperature on the first day is 35 degrees and the minimum temperature is 31 degrees, the maximum temperature on the second day is 30 degrees and the minimum temperature is 26 degrees, the morning and evening temperature difference on the first day is 4 degrees, and the morning and evening temperature difference on the second day is 4 degrees. In this case, the morning and evening temperature difference changes by 4 degrees, but the maximum temperature difference between the first day and the second day is 5 degrees and the minimum temperature difference is 5 degrees. The overall temperature drop will also cause shrinkage on the bridge. Therefore, the electronic device calculates the first average value of the maximum temperature difference and the second average value of the minimum temperature difference. The first average value and the second average value both characterize the magnitude of the maximum temperature change and the magnitude of the minimum temperature change between adjacent days, thereby reflecting the degree of influence on the thermal expansion and contraction of the bridge.

[0145] Step S4, determining whether the temperature difference between morning and evening exceeds a preset temperature difference threshold, and if so, determining a second amount exceeding the preset temperature difference threshold.

[0146] For the embodiment of the present application, the electronic device determines whether the temperature difference between morning and evening exceeds a preset temperature difference threshold. If there is a date that exceeds the preset temperature difference threshold, the electronic device counts it to obtain a second number. The larger the second number, the more high-temperature days there are. The thermal expansion of the bridge causes greater changes in the expansion joints. In addition, high temperature exposure of the cable will cause the protective layer on the surface of the cable to soften, making the cable more susceptible to wear, which will affect the wear of the cable.

[0147] Step S5, determining a fourth score based on the second quantity, the first average value, the second average value, the abnormality, and respective fourth coefficients.

[0148] For the embodiment of the present application, the more the second number of excessive temperature differences between morning and evening is, the more the thermal expansion and contraction of the bridge will be affected. The changes in the first average value of the highest temperature difference and the second average value of the lowest temperature difference will affect the thermal expansion and contraction of the bridge. The abnormality of the bracket also reflects the different degrees of wear of the cable. Therefore, the electronic device determines the fourth score based on the second number, the first average value, the second average value, the abnormality and the respective fourth coefficients. For example, the second number is 5, the first average value is 4, the second average value is 3, the abnormality is 0.5, the second number, the first average value, the second average value, the abnormality and the respective fourth coefficients are 0.7, 0.5, 0.4, and 8 respectively, and the electronic device determines the fourth score to be 5×0.7+4×0.5+3×0.4+0.5×8=10.7.

[0149] Step S6: adjusting the abnormality level of the cable based on the fourth score.

[0150] For the embodiment of the present application, the staff stores the preset adjustment interval and the corresponding preset adjustment level in the electronic device in advance. The electronic device determines its target adjustment interval based on the fourth score, and then determines its target adjustment level, and adjusts the abnormality level of the cable. For example, the preset adjustment level corresponding to the preset adjustment interval [0, 6] is unchanged, (6, 12] corresponds to an increase of one level, the cable abnormality level is two, and the fourth score is 10.7 points. The electronic device determines that its preset adjustment interval is (6, 12], and the corresponding target adjustment level is an increase of one level. The electronic device determines that the abnormality level of the cable after adjustment is three.

[0151] A possible implementation of the embodiment of the present application is to determine whether there is a foreign object on the platform of the bracket based on the image in step S1 and step S2, and determine the smoothness of the transition between the platform of the bracket and the two sides of the bracket. If there is a foreign object, the abnormality of the bracket is determined based on the foreign object and the smoothness, which specifically includes step Sa, step Sb, step Sc and step Sd. Figure 5 As shown,

[0152] Step Sa, performing feature recognition on the image to determine whether there is a foreign object on the platform of the bracket.

[0153] For the embodiment of the present application, the electronic device inputs the image into the trained network model for feature recognition to determine whether there is a foreign object on the platform of the bracket. The network model can be a convolutional neural network model, a recurrent neural network model, or other network models.

[0154] Step Sb, edge detection is performed on the image to obtain the contour of the transition point, and the similarity between the contour and the straight line is calculated, and the similarity represents the smoothness.

[0155] For the embodiments of the present application, the electronic device may first perform sharpening processing on the image, and then perform edge detection on the image to obtain the contour of the transition point, and calculate the similarity between the contour and the straight line through the cosine distance, that is, the contour of the transition point and the straight line are respectively represented as two vectors, and the similarity between the two is characterized by calculating the cosine distance between the two vectors. The similarity can also be calculated through a histogram or other methods, which are not limited here.

[0156] The electronic device determines the calculated similarity as smoothness. The smaller the similarity value is, the less similar the contour at the transition is to the straight line, the less smooth the contour at the transition is, and the more serious the wear is.

[0157] Step Sc: if there are foreign objects, the type of each foreign object is determined, and target foreign objects belonging to a preset type are screened out, where the preset type is a type that poses a threat to the cable.

[0158] For the embodiment of the present application, the staff will store various types of foreign objects in the electronic device in advance, and define the types that pose a threat to the cable as preset types. The preset types, such as stones, sand, etc., are stored in the electronic device. If there are foreign objects, the electronic device will match each foreign object with the type of foreign object in the storage system, determine the type of each foreign object, and screen out target foreign objects belonging to the preset type.

[0159] Step Sd, determining the number of target foreign bodies, and determining a score based on the number, similarity, and the fifth coefficient corresponding to each, the score representing the abnormality of the stent.

[0160] For the embodiment of the present application, the electronic device counts the target foreign matter, determines the number of the target foreign matter, and determines the score based on the number, similarity, and the fifth coefficient corresponding to each, and uses the score to characterize the abnormality of the bracket. The number of target foreign matter and the similarity of the transition are both important factors affecting the abnormality of the bracket, so the score is calculated in this way. For example, the number of target foreign matter is 3, the similarity of the transition is 0.8, and the fifth coefficients corresponding to the number and similarity are 0.06 and 0.4 respectively, then the electronic device determines the score as 3×0.06+0.8×0.4=0.5.

[0161] In a possible implementation of the embodiment of the present application, step S106 further includes step 6, wherein:

[0162] Step 6: If the cable needs maintenance, the abnormal level and prompt information are sent to the terminal equipment at the maintenance location.

[0163] For the embodiment of the present application, if the cable needs to be repaired, the electronic device sends the abnormal level and prompt information of the cable including words such as "the abnormal level of the cable is XX, please repair it as soon as possible" to the terminal device at the maintenance site.

[0164] The above-mentioned embodiment introduces a bridge expansion joint monitoring method from the perspective of method flow, and the following embodiment introduces a bridge expansion joint monitoring device from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0165] The present application embodiment provides a bridge expansion joint monitoring device 50, such as Figure 6 As shown, the bridge expansion joint monitoring device 50 may specifically include:

[0166] The first acquisition module 501 is used to acquire daily images of the bridge expansion joint and daily weather in the area where the bridge expansion joint is located within a preset time, where the weather includes temperature, precipitation, etc.;

[0167] The first judgment module 502 is used to judge whether there is a first date when the temperature exceeds a preset temperature threshold and a second date when the precipitation exceeds a preset precipitation threshold;

[0168] A first determination module 503, for determining the total precipitation of all second dates, if any, and determining the first quantity of the first date;

[0169] A second acquisition module 504 is used to acquire a vibration change diagram of the cable, and determine a displacement change diagram of the cable based on the image, wherein the displacement change diagram includes a lateral displacement diagram and a longitudinal displacement diagram;

[0170] A second determination module 505, for determining an abnormality level of the cable based on the total precipitation amount, the first quantity, the vibration change graph, and the displacement change graph;

[0171] The second judgment module 506 is used to judge whether the cable needs to be repaired based on the abnormality level.

[0172] The embodiment of the present application discloses a bridge expansion joint monitoring device 50, wherein a first acquisition module 501 acquires daily images of the bridge expansion joint and daily weather in the area where the bridge expansion joint is located within a preset time, and a first judgment module 502 judges whether there is a first date on which the temperature exceeds a preset temperature threshold and a second date on which the precipitation exceeds a preset precipitation threshold. Too high a temperature may cause changes in the bridge expansion joint and thus cause wear of the cable, and too much precipitation may cause immersion and corrosion of the cable. If so, the first determination module 503 determines the sum of precipitation of all the second dates. The greater the sum of precipitation, the more serious the immersion and corrosion caused to the cable, and determines the first number of the first date. The greater the first number, the more severe the high temperature is on the changes of the bridge expansion joint. The more serious the impact of the cable exposure, the different changes in the expansion joints of the bridge when the train passes will cause different vibration effects on the cable. Therefore, the second acquisition module 504 obtains the vibration change diagram of the cable. The vibration change diagram can explain the number of vibrations and the amplitude of the cable, and determines the displacement change diagram of the cable based on the image. The displacement change diagram can characterize the displacement of the cable. The second determination module 505 determines the abnormality level of the cable based on the total precipitation, the first number, the vibration change diagram and the displacement change diagram. Determining the abnormality level can make it more convenient to judge whether the cable needs maintenance. The second judgment module 506 judges whether the cable needs maintenance based on the abnormality level, thereby improving the efficiency of cable maintenance and inspection, and timely discovering the wear of the cable.

[0173] In a possible implementation of the embodiment of the present application, when the second determination module 505 determines the abnormal level of the cable based on the total precipitation, the first quantity, the vibration change graph, and the displacement change graph, it is specifically used to:

[0174] Determine the number of all amplitude segments based on the vibration change graph, and determine the number of abnormal amplitude segments exceeding the preset amplitude value and the proportion of abnormal amplitude segments, where the proportion of abnormal amplitude segments is the ratio of the number of abnormal amplitude segments to the number of all amplitude segments;

[0175] Determining a displacement score based on the lateral displacement map and the longitudinal displacement map;

[0176] Determine a first score based on the total number of amplitude segments, the proportion of abnormal amplitude segments, the displacement score, and the respective first coefficients;

[0177] An abnormality level of the cable is determined based on the precipitation sum, the first quantity, and the first score.

[0178] In a possible implementation manner of the embodiment of the present application, when the second determination module 505 determines the displacement score based on the lateral displacement map and the longitudinal displacement map, it is specifically used to:

[0179] Determine the number of lateral displacement changes and a first change amount of each lateral displacement based on the lateral displacement map, and determine the number of longitudinal displacement changes and a second change amount of each longitudinal displacement based on the longitudinal displacement map;

[0180] Calculate a first proportion of the first change amount exceeding a preset first change threshold, and a second proportion of the second change amount exceeding a preset second change threshold;

[0181] The displacement score is determined based on the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, the second proportion, and the respective second coefficients.

[0182] In a possible implementation of the embodiment of the present application, when the second determination module 505 determines the abnormality level of the cable based on the total precipitation, the first quantity, and the first score, it is specifically used to:

[0183] determining a third score based on the total precipitation, the first quantity, the first score, and the respective corresponding third coefficients;

[0184] A target score interval where the third score is located is determined from a plurality of preset score intervals, and a preset abnormality level corresponding to the target score interval is determined as the abnormality level of the cable.

[0185] In a possible implementation manner of the embodiment of the present application, the device 50 further includes:

[0186] A smoothness determination module, used to determine whether there is a foreign object on the platform of the bracket based on the image, and to determine the smoothness of the transition between the platform of the bracket and the two sides of the bracket;

[0187] An abnormality determination module, for determining the abnormality of the stent based on the foreign matter and the smoothness if a foreign matter is present;

[0188] A temperature difference determination module is used to determine the daily morning and evening temperature difference within a preset time, the maximum temperature difference between two consecutive days, and the minimum temperature difference between two consecutive days based on the temperature, and calculate a first average value of the maximum temperature difference and a second average value of the minimum temperature difference within the preset time;

[0189] A quantity determination module, used to determine whether the temperature difference between morning and evening exceeds a preset temperature difference threshold, and if so, determine a second quantity exceeding the preset temperature difference threshold;

[0190] a score determination module, configured to determine a fourth score based on the second quantity, the first average value, the second average value, the degree of abnormality, and respective fourth coefficients;

[0191] An adjustment module is used to adjust the abnormality level of the cable based on the fourth score.

[0192] In a possible implementation of the embodiment of the present application, the smoothness determination module is specifically used to determine whether there is a foreign object on the platform of the bracket based on the image and determine the smoothness of the transition between the platform of the bracket and the two sides of the bracket:

[0193] Perform feature recognition on the image to determine whether there is foreign matter on the platform of the stent;

[0194] Edge detection is performed on the image to obtain the contour of the transition point, and the similarity between the contour and the straight line is calculated. The similarity represents the smoothness.

[0195] In a possible implementation of the embodiment of the present application, when the abnormality determination module determines the abnormality of the bracket based on the foreign matter and the smoothness if there is a foreign matter, it is specifically used to:

[0196] If there are foreign objects, the type of each foreign object is determined, and the target foreign objects belonging to the preset type are screened out, and the preset type is the type that poses a threat to the cable;

[0197] The number of target foreign bodies is determined, and a score is determined based on the number, similarity, and the fifth coefficient corresponding to each, the score representing the abnormality of the stent.

[0198] In a possible implementation manner of the embodiment of the present application, the device 50 further includes:

[0199] The prompt module is used to send abnormal level and prompt information to the terminal equipment at the maintenance site if the cable needs maintenance.

[0200] An electronic device is provided in an embodiment of the present application, such as Figure 7 As shown, Figure 7 The electronic device 60 shown includes: a processor 601 and a memory 603. The processor 601 and the memory 603 are connected, such as through a bus 602. Optionally, the electronic device 60 may also include a transceiver 604. It should be noted that in actual applications, the transceiver 604 is not limited to one, and the structure of the electronic device 60 does not constitute a limitation on the embodiments of the present application.

[0201] Processor 601 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 601 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0202] The bus 602 may include a path to transmit information between the above components. The bus 602 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 602 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0203] The memory 603 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0204] The memory 603 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 601. The processor 601 is used to execute the application code stored in the memory 603 to implement the contents shown in the above method embodiment.

[0205] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 7 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0206] The embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment. Compared with the related art, in the embodiment of the present application, daily images of the expansion joint of the bridge and the daily weather of the area where the expansion joint of the bridge is located within a preset time are obtained to determine whether there is a first date when the temperature exceeds the preset temperature threshold and a second date when the precipitation exceeds the preset precipitation threshold. Excessively high temperature may cause changes in the expansion joint of the bridge and thus cause wear of the cable. Excessive precipitation may cause immersion and corrosion of the cable. If so, the sum of precipitation for all second dates is determined. The larger the sum of precipitation, the more serious the immersion and corrosion caused to the cable. The first number of the first date is determined. The larger the first number, the more it indicates that the high temperature has an impact on the changes in the expansion joint of the bridge and the cable. The more severe the impact of exposure, the different changes in the bridge expansion joints when the train passes will cause different vibration effects on the cable. Therefore, the vibration change diagram of the cable is obtained. The vibration change diagram can illustrate the number of vibrations and amplitude of the cable, and the displacement change diagram of the cable is determined based on the image. The displacement change diagram can characterize the displacement of the cable. The abnormality level of the cable is determined based on the total precipitation, the first quantity, the vibration change diagram and the displacement change diagram. Determining the abnormality level can make it more convenient to determine whether the cable needs maintenance. Determining whether the cable needs maintenance based on the abnormality level can improve the efficiency of cable maintenance and inspection, and can promptly detect cable wear.

[0207] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0208] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A bridge expansion joint monitoring method, characterized in that: include: Acquire daily images of the bridge expansion joint and daily weather in the area where the bridge expansion joint is located within a preset time, wherein the weather includes temperature and precipitation; Determine whether there is a first date when the temperature exceeds a preset temperature threshold and a second date when the precipitation exceeds a preset precipitation threshold; If so, determining the sum of the precipitation for all second dates and determining the first quantity for the first date; Acquire a vibration change graph of the cable, and determine a displacement change graph of the cable based on the image, wherein the displacement change graph includes a lateral displacement graph and a longitudinal displacement graph; determining an abnormality level of the cable based on the total precipitation amount, the first quantity, the vibration change graph, and the displacement change graph; Determining whether the cable needs maintenance based on the abnormality level; Wherein, determining the abnormal level of the cable based on the total precipitation, the first quantity, the vibration change graph, and the displacement change graph includes: Determine the number of all amplitude segments based on the vibration change graph, and determine the number of abnormal amplitude segments exceeding a preset amplitude value and the proportion of abnormal amplitude segments, wherein the proportion of abnormal amplitude segments is the ratio of the number of abnormal amplitude segments to the number of all amplitude segments; determining a displacement score based on the lateral displacement map and the longitudinal displacement map; Determine a first score based on the total number of amplitude segments, the proportion of abnormal amplitude segments, the displacement score, and respective first coefficients; An abnormality level of the cable is determined based on the total precipitation amount, the first number, and the first score.

2. A bridge expansion joint monitoring method according to claim 1, characterized in that: The determining of the displacement score based on the lateral displacement map and the longitudinal displacement map comprises: Determine the number of lateral displacement changes and a first change amount of each lateral displacement based on the lateral displacement map, and determine the number of longitudinal displacement changes and a second change amount of each longitudinal displacement based on the longitudinal displacement map; Calculate a first proportion of the first change amount exceeding a preset first change threshold, and a second proportion of the second change amount exceeding a preset second change threshold; A displacement score is determined based on the number of lateral displacement changes, the number of longitudinal displacement changes, the first proportion, the second proportion and the respective second coefficients.

3. A bridge expansion joint monitoring method according to claim 1, characterized in that: The determining the abnormality level of the cable based on the total precipitation, the first quantity, and the first score includes: Determine a third score based on the precipitation sum, the first number, the first score, and respective corresponding third coefficients; A target score interval where the third score is located is determined from a plurality of preset score intervals, and a preset abnormality level corresponding to the target score interval is determined as the abnormality level of the cable.

4. A bridge expansion joint monitoring method according to claim 1, characterized in that: The method further comprises: Based on the image, determine whether there is a foreign object on the platform of the bracket, and determine the smoothness of the transition between the platform of the bracket and the two sides of the bracket; If foreign matter is present, determining the abnormality of the stent based on the foreign matter and the smoothness; Based on the temperature, determine the daily morning and evening temperature difference within the preset time, the maximum temperature difference between two adjacent days, and the minimum temperature difference between two adjacent days, and calculate a first average value of the maximum temperature difference and a second average value of the minimum temperature difference within the preset time; Determine whether the temperature difference between morning and evening exceeds a preset temperature difference threshold, and if so, determine a second amount exceeding the preset temperature difference threshold; determining a fourth score based on the second number, the first average, the second average, the degree of abnormality, and respective fourth coefficients; The abnormality level of the cable is adjusted based on the fourth score.

5. A bridge expansion joint monitoring method according to claim 4, characterized in that: The determining whether there is a foreign object on the platform of the bracket based on the image, and determining the smoothness of the transition between the platform of the bracket and the two sides of the bracket, and if there is a foreign object, determining the abnormality of the bracket based on the foreign object and the smoothness, includes: Performing feature recognition on the image to determine whether there is a foreign object on the platform of the bracket; Performing edge detection on the image to obtain the contour of the transition, and calculating the similarity between the contour and the straight line, wherein the similarity represents the smoothness; If there are foreign objects, determine the type of each foreign object, and select target foreign objects belonging to a preset type, wherein the preset type is a type that poses a threat to the cable; The number of the target foreign bodies is determined, and a score is determined based on the number, the similarity, and the fifth coefficient corresponding to each of them, wherein the score represents the abnormality of the stent.

6. A bridge expansion joint monitoring method according to claim 1, characterized in that: The method further comprises: If the cable needs to be repaired, the abnormal level and prompt information are sent to the terminal equipment at the repair site.

7. A bridge expansion joint monitoring device, characterized in that: include: The first acquisition module is used to acquire daily images of the bridge expansion joint and daily weather in the area where the bridge expansion joint is located within a preset time, wherein the weather includes temperature, precipitation, etc.; A first judgment module is used to judge whether there is a first date when the temperature exceeds a preset temperature threshold and a second date when the precipitation exceeds a preset precipitation threshold; a first determination module, for determining the sum of precipitation for all second dates, if any, and determining a first quantity for the first date; A second acquisition module is used to acquire a vibration change graph of the cable, and determine a displacement change graph of the cable based on the image, wherein the displacement change graph includes a lateral displacement graph and a longitudinal displacement graph; A second determination module, configured to determine an abnormality level of the cable based on the total precipitation amount, the first quantity, the vibration change graph, and the displacement change graph; A second judgment module, used for judging whether the cable needs to be repaired based on the abnormality level; When the second determination module determines the abnormality level of the cable based on the total precipitation, the first quantity, the vibration change graph, and the displacement change graph, it is specifically used to: Determine the number of all amplitude segments based on the vibration change graph, and determine the number of abnormal amplitude segments exceeding a preset amplitude value and the proportion of abnormal amplitude segments, wherein the proportion of abnormal amplitude segments is the ratio of the number of abnormal amplitude segments to the number of all amplitude segments; determining a displacement score based on the lateral displacement map and the longitudinal displacement map; Determine a first score based on the total number of amplitude segments, the proportion of abnormal amplitude segments, the displacement score, and respective first coefficients; An abnormality level of the cable is determined based on the total precipitation amount, the first number, and the first score.

8. An electronic device, characterized in that: It includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and is configured to be executed by the at least one processor, and the at least one application is used to execute a bridge expansion joint monitoring method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the bridge expansion joint monitoring method according to any one of claims 1 to 6.

Images