A method and device for monitoring the heating and temperature rise of contact network components

Abstract

The present invention discloses a method and device for monitoring the heating and temperature rise of contact network components, and relates to the field of data processing technology. The method comprises: obtaining real-time monitoring information of the contact network through multi-source sensors, and rendering the data of the first predetermined area to the three-dimensional model of the contact network. Matching the three-dimensional point position of the shielding position, using inverse distance interpolation to obtain the real-time prediction information of the point, and obtaining the real-time temperature value by fitting. Combining the monitoring information of the second predetermined area, the temperature rise analysis is performed to calculate the relative temperature difference. When the relative temperature difference reaches the threshold value, the position is added to the heating and temperature rise list, and early warning and maintenance processing are performed. The present invention solves the technical problem in the prior art that the contact network components behind the pantograph operating area are easily blocked by the pantograph and cannot be measured, forming a detection blind area, and achieves the technical effect of combining multi-source sensor data and inverse distance interpolation algorithm to perform intelligent temperature detection on the shielded components and overcome the detection blind area.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a method and device for monitoring the heating and temperature rise of contact network components. Background Art

[0002] The overhead contact system is one of the key infrastructures for rail transit power supply, and its working status directly affects the safety and stable operation of trains. Parts in the overhead contact system (such as contact wires, conductors, etc.) are prone to heating problems during long-term operation, especially those blocked by the pantograph. The heating phenomenon is more hidden and difficult to monitor in real time through conventional means. Summary of the invention

[0003] The present application provides a method and device for monitoring the heating and temperature rise of contact network components, which are used to solve the technical problem in the prior art that the contact network components behind the pantograph operating area are easily blocked by the pantograph and cannot be measured, forming a detection blind area.

[0004] The first aspect of the present application provides a method for monitoring the heating and temperature rise of contact network components, the method comprising: obtaining target real-time monitoring information, the target real-time monitoring information refers to the real-time information of the target contact network dynamically monitored by a multi-source sensor group; rendering the first real-time monitoring information of a first predetermined area in the target real-time monitoring information to the three-dimensional structural model of the target contact network to obtain a target three-dimensional model; matching a first three-dimensional point of a first occluding position in the target three-dimensional model, and obtaining first real-time prediction information of the first three-dimensional point by using the inverse distance interpolation principle; introducing a multi-source temperature fitting function to perform fitting analysis on the first real-time prediction information to obtain a first real-time temperature value; performing temperature rise analysis on the first real-time temperature value in combination with the second real-time monitoring information of a second predetermined area in the target real-time monitoring information to obtain a first relative temperature difference; when the first relative temperature difference reaches a threshold value, adding the first occluding position to a heating and temperature rise list; and performing early warning maintenance processing on each position in the heating and temperature rise list.

[0005] According to a second aspect of the present application, a device for monitoring the temperature rise of contact network components is provided, the device comprising: a target real-time monitoring information acquisition module, the target real-time monitoring information acquisition module is used to acquire target real-time monitoring information, the target real-time monitoring information refers to the real-time information of the target contact network dynamically monitored by a multi-source sensor group; a target three-dimensional model acquisition module, the target three-dimensional model acquisition module is used to render the first real-time monitoring information of a first predetermined area in the target real-time monitoring information to the three-dimensional structural model of the target contact network to obtain a target three-dimensional model; a first real-time prediction information acquisition module, the first real-time prediction information acquisition module is used to match the first three-dimensional point position of the first occlusion position in the target three-dimensional model, and use the inverse distance interpolation principle to acquire the first three-dimensional point position of the first occlusion position in the target three-dimensional model. The first real-time prediction information of the first three-dimensional point; the first real-time temperature value fitting module, the first real-time temperature value fitting module is used to introduce a multi-source temperature fitting function to perform fitting analysis on the first real-time prediction information to obtain a first real-time temperature value; the first relative temperature difference acquisition module, the first relative temperature difference acquisition module is used to perform temperature rise analysis on the first real-time temperature value in combination with the second real-time monitoring information of the second predetermined area in the target real-time monitoring information, to obtain a first relative temperature difference; a heating temperature rise list construction module, the heating temperature rise list construction module is used to add the first shielding position to the heating temperature rise list when the first relative temperature difference reaches a threshold value; an early warning maintenance processing module, the early warning maintenance processing module is used to perform early warning maintenance processing on each position in the heating temperature rise list.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The present application provides a method and device for monitoring the heating and temperature rise of contact network components, which relate to the field of data processing technology. The contact network is monitored in real time by multi-source sensors, and the temperature of the obscured components is predicted in combination with a three-dimensional structural model and an inverse distance interpolation method. The temperature fitting function is used for analysis to calculate the relative temperature difference. When the relative temperature difference exceeds the threshold, the component is added to the heating and temperature rise list, and an early warning and maintenance process are performed. The method solves the technical problem in the prior art that the contact network components behind the pantograph operating area are easily obscured by the pantograph and cannot be measured, forming a detection blind spot. The method realizes the combination of multi-source sensor data and an inverse distance interpolation algorithm to perform intelligent temperature detection on the obscured components and overcome the detection blind spot. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic flow chart of a method for monitoring the temperature rise of a contact network component provided in an embodiment of the present application;

[0010] Figure 2 A schematic diagram of a process for obtaining first real-time prediction information in a method for monitoring the heating and temperature rise of a contact network component provided in an embodiment of the present application;

[0011] Figure 3 A schematic structural diagram of a device for monitoring the heating and temperature rise of contact network components provided in an embodiment of the present application.

[0012] Explanation of the accompanying drawings: target real-time monitoring information acquisition module 11, target three-dimensional model acquisition module 12, first real-time prediction information acquisition module 13, first real-time temperature value fitting module 14, first relative temperature difference acquisition module 15, heating temperature rise list construction module 16, early warning maintenance processing module 17. DETAILED DESCRIPTION

[0013] The present application provides a method and device for monitoring the heating and temperature rise of contact network components, which are used to solve the technical problem in the prior art that the contact network components behind the pantograph operating area are easily blocked by the pantograph and cannot be measured, forming a detection blind area.

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0015] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices.

[0016] Embodiment 1:

[0017] like Figure 1 As shown, the present application provides a method for monitoring the temperature rise of contact network components, the method comprising:

[0018] P10: Acquire target real-time monitoring information, wherein the target real-time monitoring information refers to real-time information of the target contact network dynamically monitored by a multi-source sensor group, wherein the multi-source sensor group includes at least a vibration sensor, a sound sensor, and a temperature sensor.

[0019] Furthermore, step P10 of the embodiment of the present application further includes:

[0020] P11: Assembling a target component set of the target contact network, wherein the target component set includes an unobstructed component set and an obstructed component set; P12: Randomly acquiring a first position of a first component in the unobstructed component set, and dynamically monitoring the multi-source sensor group to obtain first information of the first position; P13: Composing the target real-time monitoring information according to a first corresponding relationship between the first position and the first information.

[0021] It should be understood that real-time monitoring information of the target contact network is obtained. These monitoring information are dynamically collected through a multi-source sensor group to ensure that the key operating data of the contact network can be fed back in real time. Among them, the multi-source sensor group includes at least a vibration sensor, a sound sensor and a temperature sensor, which are used to monitor the working status of different aspects of the contact network. The vibration sensor can detect changes in the mechanical state of the contact network, the sound sensor identifies possible equipment abnormalities by collecting noise signals, and the temperature sensor is used to monitor the temperature changes of components in real time, especially the heating situation.

[0022] Specifically, in order to monitor different components of the target contact network in more detail, a target component set is established. The set divides the contact network components into two categories: an unobstructed component set and an obstructed component set. The unobstructed component set includes those components that are not obstructed and can be directly detected by the sensor; the obstructed component set includes those components that are obstructed by the pantograph or other factors and cannot be directly monitored.

[0023] Furthermore, any component is randomly selected from the set of unobstructed components, and the first position of the first component is obtained for key monitoring, that is, the specific spatial position of the component monitored by the sensor group, that is, the first information of the first position. Since unobstructed components are usually more easily directly touched by sensors, this step can be regarded as the primary focus on easily observed areas.

[0024] Next, based on the correspondence between the first position and the first information collected by the multi-source sensor group, the two are combined into target real-time monitoring information. The target real-time monitoring information includes dynamic data about the component collected from different sensors such as vibration, sound, and temperature, such as the vibration intensity, sound characteristics, and temperature changes of the component. With this information, the operating status of the component can be determined, especially whether it has abnormal heating or other problems.

[0025] P20: Rendering the first real-time monitoring information of the first predetermined area in the target real-time monitoring information to the three-dimensional structure model of the target contact network to obtain a target three-dimensional model.

[0026] Furthermore, step P20 of the embodiment of the present application further includes:

[0027] P20a: Determine whether the first position is in the first predetermined area, and if so, add the first corresponding relationship to the first real-time monitoring information.

[0028] Optionally, the first real-time monitoring information of the first predetermined area in the target real-time monitoring information is rendered to the three-dimensional structural model of the target contact network. The first predetermined area is the area where the contact line contacts the slide plate of the pantograph. In this area, temperature changes have a direct impact on the normal operation of the equipment, so priority monitoring is required. The rendering process is to project the collected data onto the spatial coordinates of the three-dimensional model so as to more intuitively display the real-time status of these components in the virtual model, thereby generating a three-dimensional model of the target contact network.

[0029] In this embodiment, the determination and information processing of the component position are added. Specifically, the system first determines whether the acquired first position is located in the first predetermined area. The core of this process is to ensure that the monitored data is associated with a specific target area. If it is confirmed that the position is in the predetermined area, a first correspondence is established between the component position and its corresponding real-time monitoring information, and this correspondence is added to the final first real-time monitoring information.

[0030] Establishing the first correspondence means associating the data obtained by the sensor with its spatial location, ensuring that the monitored temperature, vibration and other information can be accurately mapped to the three-dimensional structural model of the contact network. This process enables the system to not only obtain the operating status of each component, but also intuitively display its location and status through the three-dimensional model, making it easier to discover potential problems.

[0031] Through rendering operations, complex multi-source information can be transformed into intuitive 3D visualization models, providing technical support for subsequent analysis and helping maintenance personnel identify abnormal areas more quickly and accurately. This method combines 3D modeling with real-time data rendering, giving the entire system dual perception capabilities of space and information, significantly improving the accuracy and effectiveness of monitoring.

[0032] P30: Matching a first three-dimensional point of a first occluded position in the target three-dimensional model, and obtaining first real-time prediction information of the first three-dimensional point by using an inverse distance interpolation principle.

[0033] Further, such as Figure 2 As shown, step P30 of the embodiment of the present application also includes:

[0034] P31: Obtain a second three-dimensional point corresponding to the second position; P32: Use the first spatial distance value between the second three-dimensional point and the first three-dimensional point as a weight coefficient, weight the second information to obtain the first real-time prediction information, wherein the second information has a second corresponding relationship with the second position.

[0035] Optionally, by further processing the three-dimensional model of the target contact network, focus on the components blocked by the pantograph. The actual positions of these components cannot be directly detected by conventional sensors, so the three-dimensional model needs to be used for matching and inference. Specifically, it is first necessary to determine the first three-dimensional point position of the first blocking position, which is the position of the component blocked by the pantograph.

[0036] In order to obtain the real-time status information of the first obstruction position, the system applies the inverse distance interpolation principle, which is a distance-based interpolation algorithm used to infer the properties of unknown points (obstructed parts). According to this principle, the closer the known point is to the target point (i.e., the obstructed part), the greater the impact of its information on the point, and vice versa. Through this interpolation method, the real-time prediction information of the first three-dimensional point position, i.e., the temperature, vibration and other states of the obstructed part, can be inferred. The specific analysis process is as follows:

[0037] First, obtain the second three-dimensional point corresponding to the second position. The second three-dimensional point refers to a known point in the contact network that is adjacent to or close to the position of the obscured component. These points can directly obtain relevant monitoring information through the sensor group. Further, calculate the first spatial distance value between the second three-dimensional point and the first three-dimensional point, and use the distance value as a weight coefficient. The spatial distance value represents the distance between the two points in the three-dimensional model. The closer the distance, the greater the weight. The second information from the second position is weightedly calculated by the weight coefficient to generate the first real-time prediction information.

[0038] The second information has a second corresponding relationship with the second position, that is, the mapping relationship between the monitoring data of the second three-dimensional point acquired by the sensor and the position. Through this weighted processing, the system can combine the monitoring data of the surrounding positions to predict the status of the obstructed parts. This method effectively solves the problem of blind spots in monitoring caused by occlusion, and infers the information of parts that cannot be directly measured through interpolation and weighted algorithms. It not only improves the comprehensiveness of monitoring, but also enhances the system's fault detection capabilities in complex environments.

[0039] Furthermore, step P31 of the embodiment of the present application further includes:

[0040] P31-1: The target three-dimensional model includes multiple information corresponding to multiple positions; P31-2: Randomly obtain any position among the multiple positions, and calculate any spatial distance value between any point corresponding to the arbitrary position and the first three-dimensional point; P31-3: Obtain a first ascending position list of the first three-dimensional point in ascending order according to the arbitrary spatial distance value; P31-4: Take the position with a predetermined ranking limit in the first ascending position list as the first candidate position list; P31-5: Randomly extract a position in the first candidate position list and record it as the second position.

[0041] Specifically, the specific process of extracting the second position may be that the target three-dimensional model includes multiple positions, and each position corresponds to multiple related information. This information usually includes monitoring data (such as temperature, vibration, etc.) obtained from sensors, and the specific position of these data in three-dimensional space. Through this information, the system can form a detailed perception of the entire contact network structure. In order to optimize the calculation, any position among the multiple positions is randomly obtained, and the arbitrary spatial distance value between any point corresponding to these positions and the first three-dimensional point is calculated, that is, the spatial distance from any point to the position of the component blocked by the pantograph is calculated.

[0042] Furthermore, the arbitrary spatial distance values ​​are arranged in ascending order from small to large to generate a first ascending position list containing multiple positions, which can easily filter out the closest points and give priority to using data with closer distances for prediction. Then, professionals set a predetermined ranking limit based on experience. This limit can be a fixed value or a threshold set based on specific needs to ensure that only those positions that are close enough to the target point are selected. Then, positions within the preset ranking limit are selected from the ascending list as the first candidate position list. These candidate positions represent reference points that are closest to the first three-dimensional point, and their monitoring information can be used for further data calculations.

[0043] Finally, a position is randomly selected from the first candidate position list and used as the second position, so that the system can effectively use the information of monitoring points that are close to each other to make real-time predictions, thereby ensuring the accuracy and reliability of the predictions.

[0044] Furthermore, step P32 of the embodiment of the present application also includes:

[0045] P32-1: Extract the second sensor data from the second information; P32-2: Perform weighted calculation on the second sensor data in combination with the weight coefficient to obtain the first real-time predicted sensor data; P32-3: Construct the first real-time predicted information based on the first real-time predicted sensor data.

[0046] It should be understood that the specific process of forming the first real-time prediction information may be, first, extracting the second sensor data in the second information. The second sensor data here refers to multi-dimensional information collected by multiple sensors, usually including vibration sensors, sound sensors, temperature sensors, etc. Each sensor is responsible for monitoring different states of the contact network. For example, the vibration sensor can monitor mechanical stress changes, the sound sensor can identify abnormal noise, and the temperature sensor provides heating data. These sensor data together constitute the monitoring results of the second position information.

[0047] Next, these second sensor data are weighted according to the weight coefficient. The weight coefficient is determined based on the previously calculated spatial distance between the second three-dimensional point and the first three-dimensional point. Through weighted calculation, the system can accurately extract the most valuable information for prediction from the data of multiple sensors, that is, the first real-time predicted sensor data, which represents the fusion result of multi-source sensor monitoring information near the location of the occluded component.

[0048] Based on the first real-time prediction sensor data, the first real-time prediction information is constructed. That is, the first real-time prediction sensor data is integrated into the state prediction information of the shielding component, including comprehensive predictions of multiple dimensions such as temperature, vibration, and sound. This prediction information is obtained based on weighted calculation, has high accuracy, and can reflect the real-time operating status of the shielding component.

[0049] P40: Introduce a multi-source temperature fitting function to perform fitting analysis on the first real-time prediction information to obtain a first real-time temperature value.

[0050] Wherein, the expression of the multi-source temperature fitting function is as follows: ;in, is the first real-time temperature value, is the first temperature sensing data in the first real-time prediction information, The first real-time prediction information includes the first temperature sensor data In addition to the sensor data Sensor data, refers to the Sensor Data With the first real-time temperature value The correlation of and are the first fitting coefficient and the second fitting coefficient respectively, and .

[0051] It should be understood that a more accurate first real-time temperature value is obtained by fitting and analyzing the temperature data obtained from the sensor through a multi-source temperature fitting function. The purpose of the fitting function is to combine the temperature data of the multi-source sensors, eliminate the error that may be caused by a single sensor, and thus calculate the actual temperature of the shielding component.

[0052] The expression of the multi-source temperature fitting function is as follows:

[0053] ;in, The first real-time temperature value is the result obtained after fitting and analyzing multiple sensor data. It is the first temperature sensing data in the first real-time prediction information, that is, the main temperature data near the target point. The first real-time prediction information includes the first temperature sensor data In addition to the sensor data Sensor data, which also comes from other information points monitored by sensors, reflects the temperature data of other parts of the overhead line system, which may also affect the temperature rise of the target components. refers to the Sensor Data With the first real-time temperature value The higher the correlation, the greater the impact of the sensor data on the target point temperature. and are the first fitting coefficient and the second fitting coefficient, respectively, which represent the weights of the first temperature sensing data and other temperature sensing data. In the fitting process, the sum of these two coefficients is always 1, that is, .

[0054] The entire fitting process weights and analyzes the temperature data from different sources, combines them with the correlation with the target point temperature, and generates a temperature prediction value that is closer to the actual value. This effectively improves the accuracy of temperature monitoring, especially in the locations of key components that are blocked, ensuring that accurate temperature values ​​can be obtained even in areas that the sensor cannot directly contact. This fitting method makes full use of multi-source data fusion technology to enhance the system's monitoring capabilities for complex temperature rise situations.

[0055] P50: Performing a temperature rise analysis on the first real-time temperature value in combination with the second real-time monitoring information of the second predetermined area in the target real-time monitoring information to obtain a first relative temperature difference.

[0056] Furthermore, step P50 of the embodiment of the present application also includes:

[0057] P51: Obtaining the first predetermined temperature of the first shielding position; P52: Wherein, the formula for obtaining the first relative temperature difference is as follows: ; is the first relative temperature difference, is the first temperature difference, is the second temperature difference, is the first real-time temperature value, is the first predetermined temperature, It is the second real-time monitoring information, and the second real-time monitoring information refers to the first ambient temperature of the first shielding position.

[0058] Optionally, a temperature rise analysis is performed on the first real-time temperature value in combination with second real-time monitoring information of a second predetermined area in the target real-time monitoring information, wherein the second predetermined area is an area outside the slide plate, and the second real-time monitoring information is the real-time ambient temperature. The relative change of the temperature at the first shielding position, i.e., the first relative temperature difference, can be revealed through the temperature rise analysis.

[0059] In order to accurately calculate this temperature difference, it is first necessary to obtain the first predetermined temperature of the first shielding position under normal working conditions. The first predetermined temperature is set based on experience or standards and represents the expected temperature of the component under normal working conditions. If the actual temperature of the target component significantly exceeds this predetermined temperature, there may be abnormal heating.

[0060] Further, based on the first predetermined temperature, the temperature difference calculation is performed in combination with the calculation formula of the first relative temperature difference. The calculation formula of the first relative temperature difference is as follows: ;in, The first relative temperature difference represents the percentage of temperature change of the target component relative to the environment and the predetermined conditions, and is used to determine the degree of heating of the component. is the first temperature difference, i.e. the real-time temperature of the target component With preset temperature The difference between them reflects the temperature rise of the target components. is the second temperature difference, i.e. the real-time temperature of the target component With ambient temperature The difference between them reflects the temperature difference between the target component and the surrounding environment. is the first real-time temperature value, is the first predetermined temperature, The second real-time monitoring information refers to the first ambient temperature of the first shielding position, reflecting the ambient temperature of the area where the component is located.

[0061] Through the above formula, the system can obtain the first relative temperature difference, that is, the temperature difference percentage of the component relative to the predetermined temperature and the ambient temperature. When the relative temperature difference exceeds the set threshold value, it indicates that the component has a significant temperature rise, which may cause abnormal heating.

[0062] P60: When the first relative temperature difference reaches a threshold value, the first shielding position is added to the heating temperature rise list.

[0063] Specifically, when the system detects that the first relative temperature difference reaches the preset threshold value, it indicates that the target component has a significant temperature rise and abnormal heating may occur. At this time, the system will add the position of the component (i.e., the first shielding position) to the heating temperature rise list for further processing and monitoring. The threshold value is the temperature change range threshold set by professionals to distinguish between normal operating temperature and abnormal heating.

[0064] The temperature rise list is a dynamic monitoring list that contains information about all components with abnormal temperature rise. This list is used to record which components may be overheated and provide data support for subsequent early warning, maintenance and troubleshooting. Adding the first blocked position to this list means that this position needs special attention to prevent the component from malfunctioning.

[0065] P70: Perform early warning maintenance processing on each position in the heating temperature rise list.

[0066] Furthermore, step P70 of the embodiment of the present application further includes:

[0067] P71: Obtaining the first repeated heating frequency of the first shielding position according to the heating temperature rise list; P72: When the first repeated heating frequency reaches the frequency limit, issuing a first maintenance instruction; P73: Stopping maintenance on the first shielding position based on the first maintenance instruction.

[0068] It should be understood that all locations that have been added to the heat rise list are fully warned and repaired. The heat rise list records all parts that may have abnormal heat, providing maintenance personnel with a list of key inspections and maintenance. In this process, the system will not only issue warning signals, but also arrange actual downtime and maintenance operations when necessary.

[0069] First, the first repeated heating frequency of the target component (i.e., the first shielding position) is determined through the heating temperature rise list. The repeated heating frequency refers to the number of times a component has abnormal temperature rise multiple times in multiple monitoring cycles. By counting this frequency, the system can identify those components that continue to have temperature rise problems so that more proactive maintenance measures can be taken.

[0070] When the system detects that the first repeated heating frequency reaches the preset frequency limit, the system will automatically issue the first maintenance instruction. The frequency limit is a frequency threshold set based on experience, which is used to determine whether a component needs immediate maintenance. If a component exceeds the frequency limit multiple times, it means that its temperature rise problem persists and may cause more serious failures, so timely maintenance is required. Then, based on the first maintenance instruction, the first shielding position is actually shut down for maintenance.

[0071] Furthermore, step P73 of the embodiment of the present application also includes:

[0072] P73-1: Obtain the first annotation information of the first obstructed position; P73-2: Locate the target vehicle based on the first annotation information, and shut down the target vehicle for maintenance; P73-3: The first annotation information includes date, time, train number, route, station code, section, and kilometer mark.

[0073] Specifically, the first annotation information of the first obstructed position is obtained to more accurately locate the specific parts that need to be repaired. The first annotation information includes multiple key parameters, such as date, time, train number, route, station code, section and kilometer mark, etc. This information provides the necessary background data for subsequent maintenance work to ensure that maintenance personnel can accurately locate and handle faulty parts. The target vehicle is located based on the first annotation information, and the vehicle is shut down for maintenance. Through precise positioning based on specific annotation information, the timeliness and accuracy of maintenance work are ensured, avoiding delays in maintenance due to incomplete or inaccurate data.

[0074] In summary, the embodiments of the present application have at least the following technical effects:

[0075] This application uses multi-source sensors to monitor the contact network in real time, combines a three-dimensional structural model and inverse distance interpolation to predict the temperature of obscured components, and uses a multi-source temperature fitting function to analyze and calculate the relative temperature difference. When the relative temperature difference exceeds the threshold, the component is added to the heating temperature rise list, and an early warning and maintenance process are performed. The technical effect of combining multi-source sensor data and inverse distance interpolation algorithms to perform intelligent temperature detection on obscured components and overcome detection blind spots is achieved.

[0076] Embodiment 2:

[0077] Based on the same inventive concept as the method for monitoring the temperature rise of a contact network component in the aforementioned embodiment, Figure 3 As shown, the present application provides a device for monitoring the heating and temperature rise of contact network components. The device and method embodiments in the present application are based on the same inventive concept. The device includes:

[0078] A target real-time monitoring information acquisition module 11, the target real-time monitoring information acquisition module 11 is used to acquire target real-time monitoring information, and the target real-time monitoring information refers to the real-time information of the target contact network dynamically monitored by a multi-source sensor group; a target three-dimensional model acquisition module 12, the target three-dimensional model acquisition module 12 is used to render the first real-time monitoring information of the first predetermined area in the target real-time monitoring information to the three-dimensional structure model of the target contact network to obtain a target three-dimensional model; a first real-time prediction information acquisition module 13, the first real-time prediction information acquisition module 13 is used to match the first three-dimensional point position of the first occlusion position in the target three-dimensional model, and use the inverse distance interpolation principle to obtain the first real-time prediction information of the first three-dimensional point position; the first real-time A temperature value fitting module 14, the first real-time temperature value fitting module 14 is used to introduce a multi-source temperature fitting function to perform a fitting analysis on the first real-time prediction information to obtain a first real-time temperature value; a first relative temperature difference acquisition module 15, the first relative temperature difference acquisition module 15 is used to perform a temperature rise analysis on the first real-time temperature value in combination with the second real-time monitoring information of the second predetermined area in the target real-time monitoring information to obtain a first relative temperature difference; a heating temperature rise list construction module 16, the heating temperature rise list construction module 16 is used to add the first shielding position to the heating temperature rise list when the first relative temperature difference reaches a threshold value; an early warning maintenance processing module 17, the early warning maintenance processing module 17 is used to perform early warning maintenance processing on each position in the heating temperature rise list.

[0079] Furthermore, the target real-time monitoring information acquisition module 11 is also used to perform the following steps:

[0080] A target component set of the target contact network is formed, wherein the target component set includes an unobstructed component set and an obstructed component set; a first position of a first component in the unobstructed component set is randomly obtained, and first information of the first position is obtained through dynamic monitoring of the multi-source sensor group; and the target real-time monitoring information is formed according to a first corresponding relationship between the first position and the first information. The multi-source sensor group includes at least a vibration sensor, a sound sensor, and a temperature sensor.

[0081] Furthermore, the target three-dimensional model acquisition module 12 is also used to perform the following steps:

[0082] Determine whether the first position is in the first predetermined area, and if so, add the first corresponding relationship to the first real-time monitoring information.

[0083] Furthermore, the first real-time prediction information acquisition module 13 is further configured to perform the following steps:

[0084] Acquire a second three-dimensional point corresponding to a second position; use the first spatial distance value between the second three-dimensional point and the first three-dimensional point as a weight coefficient, weight the second information to obtain the first real-time prediction information, wherein the second information has a second corresponding relationship with the second position; wherein, it includes: the target three-dimensional model includes multiple information corresponding to multiple positions; randomly acquire any position among the multiple positions, and calculate any spatial distance value between any point corresponding to the arbitrary position and the first three-dimensional point; obtain a first ascending position list of the first three-dimensional point in ascending order by using the arbitrary spatial distance value; use the position with a predetermined ranking limit in the first ascending position list as a first candidate position list; randomly extract a position in the first candidate position list and record it as the second position; wherein, it includes: extracting second sensor data from the second information; weighting the second sensor data in combination with the weight coefficient to obtain first real-time predicted sensor data; and constructing the first real-time predicted information based on the first real-time predicted sensor data.

[0085] Furthermore, the first real-time temperature value fitting module 14 is also used to perform the following steps:

[0086] The expression of the multi-source temperature fitting function is as follows: ;in, is the first real-time temperature value, is the first temperature sensing data in the first real-time prediction information, The first real-time prediction information includes the first temperature sensor data In addition to the sensor data Sensor data, refers to the Sensor Data With the first real-time temperature value The correlation of and are the first fitting coefficient and the second fitting coefficient respectively, and .

[0087] Furthermore, the first relative temperature difference acquisition module 15 is further configured to perform the following steps:

[0088] Acquire a first predetermined temperature at the first shielding position;

[0089] Wherein, the formula for obtaining the first relative temperature difference is as follows: ; is the first relative temperature difference, is the first temperature difference, is the second temperature difference, is the first real-time temperature value, is the first predetermined temperature, It is the second real-time monitoring information, and the second real-time monitoring information refers to the first ambient temperature of the first shielding position.

[0090] Furthermore, the early warning maintenance processing module 17 is also used to perform the following steps:

[0091] The first repeated heating frequency of the first shielding position is obtained according to the heating temperature rise list; when the first repeated heating frequency reaches the frequency limit, a first maintenance instruction is issued; and the first shielding position is shut down for maintenance based on the first maintenance instruction.

[0092] Furthermore, the early warning maintenance processing module 17 is also used to perform the following steps:

[0093] Acquire first annotation information of the first occlusion position;

[0094] The target vehicle is located based on the first marking information, and the target vehicle is shut down for maintenance; wherein the first marking information includes date, time, train number, route, station code, section, and kilometer mark.

[0095] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0096] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0097] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for monitoring the temperature rise of contact network components, characterized in that: include: Acquiring target real-time monitoring information, wherein the target real-time monitoring information refers to real-time information of the target contact network dynamically monitored by a multi-source sensor group; Rendering the first real-time monitoring information of the first predetermined area in the target real-time monitoring information to the three-dimensional structure model of the target contact network to obtain a target three-dimensional model; Matching a first three-dimensional point of a first occluded position in the target three-dimensional model, and obtaining first real-time prediction information of the first three-dimensional point by using an inverse distance interpolation principle; Introducing a multi-source temperature fitting function to perform fitting analysis on the first real-time prediction information to obtain a first real-time temperature value; performing a temperature rise analysis on the first real-time temperature value in combination with second real-time monitoring information of a second predetermined area in the target real-time monitoring information to obtain a first relative temperature difference; When the first relative temperature difference reaches a threshold value, adding the first shielding position to a heating temperature rise list; Perform early warning maintenance processing on each position in the heating temperature rise list; Also includes: Establishing a target component set of the target contact network, wherein the target component set includes an unobstructed component set and an obstructed component set; Randomly acquiring a first position of a first component in the unobstructed component set, and dynamically monitoring the multi-source sensor group to obtain first information of the first position; The target real-time monitoring information is formed according to a first corresponding relationship between the first position and the first information; determining whether the first position is in the first predetermined area, and if so, adding the first corresponding relationship to the first real-time monitoring information; Obtaining a second three-dimensional point corresponding to the second position; Using a first spatial distance value between the second three-dimensional point and the first three-dimensional point as a weight coefficient, weighting the second information to obtain the first real-time prediction information, wherein the second information has a second corresponding relationship with the second position; Among them, include: The target three-dimensional model includes multiple information corresponding to multiple positions; Randomly obtain any position among the multiple positions, and calculate any spatial distance value between any point corresponding to the arbitrary position and the first three-dimensional point; Obtaining a first ascending position list of the first three-dimensional points by ascending order of the arbitrary spatial distance values; taking the positions with a predetermined ranking limit in the first ascending position list as a first candidate position list; Randomly extract a position from the first candidate position list and record it as the second position; Among them, include: extracting second sensor data from the second information; Performing weighted calculation on the second sensor data in combination with the weight coefficient to obtain first real-time predicted sensor data; The first real-time prediction information is constructed based on the first real-time prediction sensing data.

2. A method for monitoring the temperature rise of contact network components according to claim 1, characterized in that: The multi-source sensor group includes at least a vibration sensor, a sound sensor and a temperature sensor.

3. A method for monitoring the temperature rise of contact network components according to claim 2, characterized in that: The expression of the multi-source temperature fitting function is as follows: ； in, is the first real-time temperature value, is the first temperature sensing data in the first real-time prediction information, The first real-time prediction information includes the first temperature sensor data In addition to the sensor data Sensor data, refers to the Sensor Data With the first real-time temperature value The correlation of and are the first fitting coefficient and the second fitting coefficient respectively, and .

4. A method for monitoring the temperature rise of contact network components according to claim 1, characterized in that: include: Acquire a first predetermined temperature at the first shielding position; Wherein, the formula for obtaining the first relative temperature difference is as follows: ； is the first relative temperature difference, is the first temperature difference, is the second temperature difference, is the first real-time temperature value, is the first predetermined temperature, It is the second real-time monitoring information, and the second real-time monitoring information refers to the first ambient temperature of the first shielding position.

5. A method for monitoring the temperature rise of contact network components according to claim 1, characterized in that: Also includes: Obtaining a first repeated heating frequency of the first shielding position according to the heating temperature rise list; When the first repeated heating frequency reaches the frequency limit, issuing a first maintenance instruction; The first shielding position is shut down for maintenance based on the first maintenance instruction.

6. A method for monitoring the temperature rise of contact network components according to claim 5, characterized in that: Also includes: Acquire first annotation information of the first occlusion position; Locating a target vehicle based on the first marking information, and shutting down the target vehicle for maintenance; The first annotation information includes date, time, train number, route, station code, section, and kilometer mark.

7. A device for monitoring the heating and temperature rise of contact network components, characterized in that: A method for monitoring the temperature rise of a contact network component according to any one of claims 1 to 6, the device comprising: A target real-time monitoring information acquisition module, wherein the target real-time monitoring information acquisition module is used to acquire target real-time monitoring information, wherein the target real-time monitoring information refers to real-time information of the target contact network dynamically monitored by a multi-source sensor group; A target three-dimensional model acquisition module, the target three-dimensional model acquisition module is used to render the first real-time monitoring information of the first predetermined area in the target real-time monitoring information to the three-dimensional structure model of the target contact network to obtain a target three-dimensional model; A first real-time prediction information acquisition module, the first real-time prediction information acquisition module is used to match a first three-dimensional point position of a first occlusion position in the target three-dimensional model, and obtain first real-time prediction information of the first three-dimensional point position by using an inverse distance interpolation principle; A first real-time temperature value fitting module, wherein the first real-time temperature value fitting module is used to introduce a multi-source temperature fitting function to perform fitting analysis on the first real-time prediction information to obtain a first real-time temperature value; A first relative temperature difference acquisition module, the first relative temperature difference acquisition module is used to perform temperature rise analysis on the first real-time temperature value in combination with second real-time monitoring information of a second predetermined area in the target real-time monitoring information to obtain a first relative temperature difference; a heating temperature rise list construction module, wherein the heating temperature rise list construction module is used to add the first shielding position to the heating temperature rise list when the first relative temperature difference reaches a threshold value; The early warning maintenance processing module is used to perform early warning maintenance processing on each position in the heating temperature rise list.

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