A locomotive roof all-around intelligent monitoring device

Abstract

The present application relates to the technical field of locomotive roof monitoring, and particularly relates to a kind of locomotive roof all-around intelligent monitoring device, including roof high-voltage porcelain bottle monitoring module, pantograph monitoring module, display module, data analysis module.The state of high-voltage porcelain bottle on roof is monitored in real time, so that the broken high-voltage porcelain bottle during locomotive driving cannot satisfy the blocking current, and the occurrence of accidents is avoided.The high-definition monitoring camera and infrared monitoring camera are used to collect view and thermal image respectively, so that the determination result is more accurate.The detection result is determined by data analysis, the determination of the broken state of the porcelain bottle by the roof high-voltage porcelain bottle monitoring unit ensures the safety of locomotive driving and the efficiency of transportation, the pantograph monitoring unit is verified twice by layering and focusing, which ensures the accuracy of the detection result, and the arc monitoring unit determines the arc duration and arc frequency to further ensure the safety and service life of the line.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of locomotive roof monitoring technology, and particularly relates to a locomotive roof all-around intelligent monitoring device. BACKGROUND

[0002] The running energy of a high-speed rail (motor train) locomotive is provided by a contact net (positive electrode) above the locomotive roof and a rail (negative electrode), wherein a locomotive power supply device is in contact with the contact net through a roof pantograph, and the current is transmitted to the locomotive power supply device through a line connected by the pantograph, so the pantograph and the line below it must be insulated from the vehicle body.

[0003] Chinese patent publication No. CN103207357A discloses a railway locomotive pantograph net insulating porcelain bottle corona monitoring system, which comprises a mirror group and a corona monitor; the mirror group is located directly in front of the corona monitor and is composed of four plane mirrors of first, second, third and fourth plane mirrors arranged on the same horizontal line, the meridian planes of the four plane mirrors are coincident with the meridian plane of the lens of the corona monitor, the four plane mirrors are arranged at an acute angle with the optical axis of the lens of the corona monitor, the first and third plane mirrors form a first double mirror group which is arranged on the left side of the optical axis of the lens of the corona monitor, the second and fourth plane mirrors form a second double mirror group which is symmetrically arranged on the right side of the optical axis of the lens of the corona monitor with the first double mirror group, and a gap is left between the third and fourth plane mirrors.

[0004] It can be seen that the railway locomotive pantograph net insulating porcelain bottle corona monitoring system has the following problems:

[0005] The railway locomotive pantograph net insulating porcelain bottle corona monitoring system only detects the pantograph net insulating porcelain bottle, and does not simultaneously detect the line risk that may cause the pantograph net insulating porcelain bottle to have a corona phenomenon and the hard click injury of the pantograph. SUMMARY

[0006] Therefore, the present application provides a locomotive roof all-around intelligent monitoring device to overcome the problem that the prior art does not detect the line risk that may cause the pantograph net insulating porcelain bottle to have a corona phenomenon and the hard click injury of the pantograph.

[0007] To achieve the above-mentioned purpose, the present application provides a locomotive roof all-around intelligent monitoring device, which comprises:

[0008] A high-voltage porcelain bottle monitoring module comprising a first image monitoring integrated by a plurality of high-definition cameras, for collecting high-voltage porcelain bottle image data;

[0009] The pantograph monitoring module includes a second image monitoring integration composed of several high-definition cameras for collecting pantograph image data, and an infrared monitoring integration composed of several infrared cameras for collecting pantograph thermal imaging data;

[0010] The display module is connected with the data analysis module and displays the data processed by the data analysis module and alarm information;

[0011] The data analysis module is connected with the first image monitoring integration, the second image monitoring integration, and the infrared monitoring integration, respectively;

[0012] The data analysis module obtains data of the first image monitoring integration to determine the damage state of the high-voltage porcelain bottle, and determines whether to send rescue information and whether to start the high-voltage porcelain bottle fault reporting program according to the determined damage state;

[0013] The data analysis module obtains data of the second image monitoring integration to determine the hard click injury state of the pantograph and the occurrence of the arc phenomenon, and determines whether to start the line fault reporting program by comprehensively determining the hard click injury state and the occurrence of the arc phenomenon.

[0014] Further, the high-voltage porcelain bottle monitoring unit is connected with the first image monitoring integration and can analyze the damage state of the high-voltage porcelain bottle according to the data collected by the first image monitoring integration;

[0015] The pantograph hard click injury monitoring unit is connected with the second image monitoring integration and the infrared monitoring integration, respectively, and can analyze the hard click injury state of the pantograph according to the data collected by the second image monitoring integration and the infrared monitoring integration;

[0016] The pantograph arc monitoring unit is connected with the second image monitoring integration and can analyze the occurrence of the arc phenomenon according to the data collected by the second image monitoring integration.

[0017] Further, the high-voltage porcelain bottle monitoring unit compares the image data of the high-voltage porcelain bottle collected by the first image monitoring integration with the standard image of the high-voltage porcelain bottle to obtain the compliance ratio of the high-voltage porcelain bottle, confirms the damage state of the high-voltage porcelain bottle according to the compliance ratio of the high-voltage porcelain bottle, and determines whether to send rescue information and whether to start the high-voltage porcelain bottle fault reporting program according to the damage state of the high-voltage porcelain bottle;

[0018] The compliance ratio is the coincidence ratio of the digital information image simulated by the collected pixel points and the standard image.

[0019] Further, the pantograph hard contact injury monitoring unit acquires the data collected by the second image monitoring integrated collection and performs preliminary determination and region division, and determines whether the data collected by the infrared monitoring integrated collection needs to be analyzed according to the preliminary determination result.

[0020] When the data collected by the infrared monitoring integrated collection needs to be analyzed, the pantograph hard contact injury monitoring unit analyzes the data collected by the infrared monitoring integrated collection according to the divided region to determine the hard contact injury state and determine whether to start the line fault reporting program.

[0021] Further, the pantograph hard contact injury monitoring unit compares the pantograph image data collected by the second image monitoring integrated collection with the pantograph standard image, and divides the pixel points of the collected image into regions according to the comparison result, wherein,

[0022] The first partial region is composed of the entire view compliant pixel points;

[0023] The second partial region is composed of the entire non-compliant pixel points.

[0024] Further, the pantograph hard contact injury monitoring unit obtains the first partial region thermal imaging non-compliant proportion by comparing the thermal imaging of the first partial region with the pantograph standard image;

[0025] The pantograph hard contact injury monitoring unit obtains the second partial region thermal imaging compliant proportion by comparing the thermal imaging of the second partial region with the pantograph standard image;

[0026] The first partial region thermal imaging non-compliant proportion, the second partial region thermal imaging compliant proportion, and the pantograph compliant proportion are combined with the compensation coefficient of the first partial region thermal imaging non-compliant proportion on the pantograph compliant proportion calculation, the compensation coefficient of the second partial region thermal imaging compliant proportion on the pantograph compliant proportion calculation, to obtain the pantograph compliant proportion calculation.

[0027] Further, the pantograph arc monitoring unit determines whether there is a fault on the line segment by the single time length of the arc phenomenon and the number of times of arc phenomenon occurrence within the preset monitoring time length collected by the second image monitoring integrated collection.

[0028] Further, the pantograph arc monitoring unit combines the single time length of the arc, the number of times of arc phenomenon occurrence within the preset monitoring time length, the weight compensation value, the compensation value of the single arc phenomenon of different time lengths on the danger coefficient, and the compensation value of the number of times of arc phenomenon occurrence within the preset monitoring time length on the danger coefficient to obtain the calculated risk coefficient.

[0029] Further, the pantograph hard point injury monitoring unit determines a safety risk coefficient according to the pantograph compliance ratio, sets a minimum safety risk coefficient for verification, and determines an actual safety risk coefficient.

[0030] Further, the pantograph arc monitoring unit determines whether there is a fault on the line by comparing the size relationship between the calculated risk coefficient and the actual safety risk coefficient, and determines whether to start the line fault reporting program according to the fault condition.

[0031] Compared with the prior art, the pantograph hard point injury monitoring unit determines a safety risk coefficient according to the pantograph compliance ratio, sets a minimum safety risk coefficient for verification, and determines an actual safety risk coefficient.

[0032] Further, the pantograph arc monitoring unit determines whether there is a fault on the line by comparing the size relationship between the calculated risk coefficient and the actual safety risk coefficient, and determines whether to start the line fault reporting program according to the fault condition.

[0033] Further, when the high-voltage porcelain bottle is damaged, or the line has a fault, an alarm is displayed to the driver, so that the driver can timely understand the locomotive condition and confirm the locomotive state, and ensure driving safety.

[0034] Through the high-voltage porcelain bottle monitoring unit, the porcelain bottle damage state can be divided into three levels, and different ways are adopted according to different damage states to handle the damage of the high-voltage porcelain bottle on the roof. When the damage degree is very small, the normal work of the high-voltage porcelain bottle on the roof is not affected, and no processing is required. When the damage degree is relatively large but the breakdown voltage is still higher than the actual working voltage, the fault reporting program is started. When the damage degree is very large and the locomotive cannot be safely driven, the locomotive is immediately stopped and an alarm is started, and rescue information is sent to the nearby station. The hierarchical adjustment not only ensures the safety of the locomotive driving, but also ensures the efficiency of the transportation.

[0035] Further, the pantograph is preliminarily detected by the high-definition camera, the detection result is segmented and determined by the SegNet semantic segmentation network model, and the determination result is divided into two part regions. Through the modular region determination and division, the problem of requiring more powerful computing power for twice global search in the actual verification process is improved. A part of the region is generally verified, and another part of the region is precisely verified. Through the two verification processes of different levels and different focuses, the accuracy of the detection result is guaranteed, the verification process can be completed with smaller computing power, the economic value is guaranteed, and the pantograph can be widely used.

[0036] Further, by the arc drawing monitoring unit, the maximum value of the arc drawing time is limited, the occurrence point of the too dangerous arc drawing can be reported in time, and maintenance is carried out, fire, damage of the roof part caused by the too large arc drawing spark is avoided, and safety is ensured. The maximum value of the arc drawing times in the preset monitoring time is limited, when the too frequent arc drawing phenomenon occurs, the maintenance can be reported in time, and the arc drawing is avoided, the temperature of the pantograph and the line is too high, and the line is further deformed. The safety and service life of the line are ensured. When both are in the safe range, a comprehensive danger coefficient is set to evaluate the relationship between the arc drawing phenomenon and the line safety, the line with greater risk is reported in time, and the safety and service life of the line are further ensured. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 It is a whole layout schematic diagram of the locomotive roof omnibearing intelligent monitoring device.

[0038] Figure 2 It is a flow chart for the pantograph hard point injury determination.

[0039] Figure 3 It is a flow chart for the pantograph arc drawing determination.

[0040] Figure 4 It is a whole flow chart of the locomotive roof omnibearing intelligent monitoring device. DETAILED DESCRIPTION

[0041] In order to make the purpose and advantages of the present application more clear and apparent, the present application is further described below in combination with examples; it should be understood that the specific examples described herein are only used to explain the present application, and are not used to limit the present application.

[0042] The preferred embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not used to limit the protection scope of the present application.

[0043] It should be noted that in the description of the present application, the terms "upper", "lower", "left", "right", "inner", "outer" and the like indicate the direction or positional relationship terms based on the direction or positional relationship shown in the drawings, which are only for the convenience of description, and do not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0044] Moreover, it needs to be explained that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting" should be understood in a broad sense, for example, can be fixed connection, can also be detachable connection, or integrally connected, can be mechanical connection, can also be electrical connection, can be directly connected, can also be indirectly connected through intermediate medium, can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0045] Figure 1 The overall layout schematic diagram of the locomotive roof omnibearing intelligent monitoring device, Figure 2 The flow chart of the pantograph hard click injury determination, Figure 3 The flow chart of the pantograph arc determination, Figure 4 The overall flow chart of the locomotive roof omnibearing intelligent monitoring device,

[0046] The present application provides a kind of locomotive roof omnibearing intelligent monitoring device, comprising,

[0047] High-voltage porcelain bottle monitoring module, it includes the first image monitoring integration 2 of being composed of a plurality of high-definition cameras, for collecting high-voltage porcelain bottle image data;

[0048] Pantograph monitoring module, it includes the second image monitoring integration 3 of being composed of a plurality of high-definition cameras, for collecting pantograph 5 image data, the infrared monitoring integration 4 of being composed of a plurality of infrared cameras, for collecting pantograph 5 thermal imaging data;

[0049] Display module, with data analysis module connection, and display the data after processing of the data analysis module and alarm information;

[0050] The data analysis module is connected with the first image monitoring integration 2, the second image monitoring integration 3 and the infrared monitoring integration 4 respectively;

[0051] The data analysis module obtains the data of the first image monitoring integration 2 to determine the damage state of the high-voltage porcelain bottle 1, and determines whether to send rescue information and whether to start the high-voltage porcelain bottle fault report program according to the determined damage state.

[0052] Specifically, it includes the first image monitoring integration 2 of a section roof, for collecting the state of high-voltage porcelain bottle 1 of a section roof in real time, and gathering into data analysis module, the state of high-voltage porcelain bottle 1 of roof is monitored in real time, which avoids that the remaining high-voltage porcelain bottle 1 cannot meet the requirement of blocking high-voltage pantograph 5 and vehicle body after high-voltage porcelain bottle 1 is not found to be damaged during locomotive running, to avoid the occurrence of accident.

[0053] Specifically, the second image monitoring integration 3 including the roof of the a section is used to collect the state of the pantograph 5 in real time, and the collected images are collected into the data analysis module, which is composed of a high-definition monitoring camera and an infrared monitoring camera, which respectively collect the view and the thermal phase image. Collecting different images provides more comparative data for data analysis of the data analysis module, making the judgment result more accurate.

[0054] Specifically, the display module includes a section touch display screen, b section touch display screen, a section touch display screen is arranged in a section cab, b section touch display screen is arranged in b section cab, when the high-voltage porcelain bottle 1 is broken, or hard click injury occurs, or the line has a fault, an alarm is displayed to the driver, so that the driver can timely understand the locomotive situation and confirm the locomotive state to ensure driving safety.

[0055] Specifically, the data analysis module includes,

[0056] The POE industrial switch is connected with the roof high-voltage porcelain bottle monitoring module and the pantograph monitoring module respectively, for analyzing the image information collected by the roof high-voltage porcelain bottle monitoring module and the pantograph monitoring module, and determining the working state of the locomotive.

[0057] Specifically, the high-voltage porcelain bottle 1 monitoring unit mainly uses the SegNet semantic segmentation network model to classify each pixel point in the image collected by the a section and the roof first image monitoring integration 2, and compares it with the standard pixel point of the high-voltage porcelain bottle 1, and calculates the compliance ratio of the high-voltage porcelain bottle.

[0058] Among them, the compliance ratio is the coincidence ratio P of the digital information image simulated by the collected pixel points and the standard image of the pantograph 5.

[0059] The specific comparison process is to detect the pixel points, all the position pixel points are recorded as high-voltage porcelain bottle compliance pixel points Y, and all the position pixel points are recorded as high-voltage porcelain bottle non-compliance pixel points X.

[0060] P=Y / (X+Y)

[0061] According to the coincidence ratio, it is divided into three damage states,

[0062] Normal state, the compliance ratio of the high-voltage porcelain bottle is 100%-90%;

[0063] Damage state, the compliance ratio of the high-voltage porcelain bottle is 90%-60%;

[0064] Emergency state, the compliance ratio of the high-voltage porcelain bottle is 60%-0%.

[0065] In the normal state, keep normal driving.

[0066] In the damaged state, the high-voltage porcelain bottle fault reporting program needs to be started.

[0067] In the emergency state, the locomotive is immediately stopped, the rescue information is sent to the nearby station, and the high-voltage porcelain bottle fault reporting program is started.

[0068] Among them, when the high-voltage porcelain bottle 1 starts the fault reporting program, the first image monitoring integrated 2 images in the preset monitoring time before the change moment are saved and sent to the ground center, the data is summarized, and the high-voltage porcelain bottle alarm information is sent to the display module.

[0069] Since a certain safety margin is designed when designing the high-voltage porcelain bottle 1 on the roof of the locomotive, the high-voltage porcelain bottle 1 on the roof of the locomotive will not be immediately broken down when it is partially damaged. Therefore, in order to prevent too frequent parking from affecting traffic, the damaged state can be divided into three levels, and different ways are adopted according to different damaged states to deal with the damage of the high-voltage porcelain bottle 1 on the roof. When the damage is very small, it does not affect the normal work of the high-voltage porcelain bottle 1 on the roof, and no treatment is needed. When the damage is relatively large but the breakdown voltage is still higher than the actual working voltage, the high-voltage porcelain bottle fault reporting program is started. When the damage is very large and cannot be safely driven, the locomotive is immediately stopped and the alarm is started, and the rescue information is sent to the nearby station. The grading adjustment not only ensures the safety of the locomotive driving, but also ensures the efficiency of the transportation.

[0070] Specifically, the pantograph hard click injury monitoring unit also mainly uses the SegNet semantic segmentation network model to classify each pixel point in the image collected by the first image monitoring integrated 2, and compares it with the standard pixel point of the pantograph to obtain the view compliance ratio Pv.

[0071] The specific comparison process is to detect view pixel points, all compliant position pixel points are recorded as view compliant pixel points Yv, and all non-compliant position pixel points are recorded as view non-compliant pixel points Xv.

[0072] Pv=Yv / (Xv+Yv)

[0073] According to the view compliance ratio Pv, the hard click injury state is preliminarily determined.

[0074] No hard click injury state, the correct compliance ratio is 90%-100%;

[0075] Cannot confirm the hard click injury state, the correct compliance ratio is 85%-90%;

[0076] There is a hard click injury state, and the correct compliance ratio is 0%-85%;

[0077] In the case of being unable to determine the hard click injury state, the pantograph hard click injury monitoring unit divides all the pixel points into two partial areas according to whether the pixel points are view compliance pixel points, the pixel points that are view compliance pixel points form a first partial area, and the pixel points that are view non-compliance pixel points form a second partial area, classifies each pixel in the image collected by the infrared monitoring integrated 4 in the first partial area, and compares with the pantograph standard pixel points, calculates the first partial area thermal imaging non-compliance proportion Pr1f, classifies each pixel in the image collected by the infrared monitoring integrated 4 in the second partial area, and compares with the pantograph standard pixel points, calculates the second partial area thermal imaging compliance proportion Pr2t.

[0078] The specific comparison process is that the thermal imaging first partial area pixel points are detected, all the position compliance pixel points are recorded as thermal imaging compliance pixel points Yr1, and all the position non-compliance pixel points are recorded as thermal imaging non-compliance pixel points Xr1.

[0079] Pr1f=Xr1 / (Yr1+Xr1)

[0080] The thermal imaging second partial area pixel points are detected, all the position compliance pixel points are recorded as thermal imaging compliance pixel points Yr2, and all the position non-compliance pixel points are recorded as thermal imaging non-compliance pixel points Xr2.

[0081] Pr2t=Yr2 / (Yr2+Xr2)

[0082] The pantograph hard click injury monitoring unit calculates the compliance proportion Pz through these data.

[0083] Pz=Pv-Pr1f×k1+Pr2t×k2

[0084] Wherein k1 is the compensation coefficient of the first partial area thermal imaging non-compliance proportion to the calculation of the compliance proportion Pz, and K2 is the compensation coefficient of the second partial area thermal imaging compliance proportion to the calculation of the compliance proportion Pz.

[0085] According to the calculation of the compliance proportion Pz, the hard click injury state is further judged;

[0086] The no hard click injury state is that the correct proportion of the calculation of the compliance proportion is 90%-100%;

[0087] The micro hard click injury state is that the correct proportion of the calculation of the compliance proportion is 85%-90%;

[0088] The hard click injury state is that the correct proportion of the calculation of the compliance proportion is 0%-85%;

[0089] For the state of determining the hard click injury, the line fault reporting program is immediately started.

[0090] For the state of no hard click injury, normal driving is not required to make any determination.

[0091] In the micro-hard click injury state, it is necessary to determine whether to start the line fault reporting program in combination with the arc monitoring unit.

[0092] In order to facilitate the evaluation of the calculation risk coefficient E of the arc monitoring unit, an actual safety risk coefficient Es is determined according to the calculation compliance ratio, and the actual safety risk coefficient is used as the anchor value for evaluation. In this process, we first introduce a calculation safety risk coefficient Ez as a process quantity.

[0093] Ez=Pz×d

[0094] Wherein, d is the compensation value of the calculation compliance ratio to the calculation risk coefficient, and the value of d given in this embodiment is 100.

[0095] The safety risk coefficient minimum value Emin=85 is set in the data analysis module;

[0096] If Ez≥Emin, select Es=Ez

[0097] If Ez<Emin, select Es=Emin

[0098] When the calculation safety coefficient is too small, a minimum value is set to limit it. On the one hand, when the hard click injury of the pantograph 5 reaches a certain degree, the probability of arc caused by the uneven surface of the pantograph 5 cannot continue to increase by continuing to damage the pantograph 5. On the other hand, too small calculation safety coefficient also has no significance for the next step of judgment.

[0099] Through the preliminary detection of the pantograph 5 by the high-definition camera, the detection result is segmented and judged by the SegNet semantic segmentation network model, and the judgment result is divided into the first part of the pixel points of the judgment view compliance area and the second part of the pixel points of the non-compliance area. Through the modular area judgment and division, the problem of more powerful computing power required for two global searches in the actual verification process is improved. The first part of the area is generally verified, and the second part of the area is precisely verified. Through two verification processes with different levels and focuses, the accuracy of the monitoring result is guaranteed, the verification process can be completed with less computing power, the economic value is guaranteed, and the system can be widely applied.

[0100] After the verification, the compliance ratio is obtained, and the hard click injury state is confirmed through the calculation of the compliance ratio. The working mode of the locomotive and the display device is confirmed through the hard click injury state. A complete control chain is formed to ensure real-time and accurate calculation of the compliance ratio, correctly determine whether to start the line fault reporting program, ensure the safety of the locomotive during operation, and reflect the possible problems on the line in real time to reduce the maintenance and operation cost of the locomotive.

[0101] The compliance ratio is obtained after the verification, and the actual safety risk coefficient Es of the arc in the current state is evaluated. When the hard click injury degree of the pantograph is small, the working surface of the pantograph is very smooth, and the possibility of arc phenomenon caused by defects in the pantograph itself is small. As the hard click injury degree of the pantograph increases, the working surface of the pantograph becomes rougher, and the possibility of arc phenomenon caused by defects in the pantograph itself increases accordingly. Therefore, according to the different hard click injury degrees of the pantograph, that is, the different compliance ratios, the corresponding actual safety risk coefficient is calculated to ensure that the risk evaluation value of the possible occurrence of arc phenomenon for different pantograph hard click injury states can be specific, and the reliability of the error information is ensured, so that the reported information has more reference value.

[0102] Specifically, the arc monitoring unit analyzes the image collected by the second image monitoring integrated 3 to obtain the single time length H of the arc and the number Z of arc phenomenon occurrences within the preset monitoring time, and obtains the risk coefficient E by combining the single time length H of the arc and the number Z of arc phenomenon occurrences within the preset monitoring time.

[0103]

[0104] e1, e2, e3 are compensation values of single arc phenomenon of different time lengths to risk coefficient;

[0105] When Hi≥1.5s, e1=100;

[0106] When 0.5≤Hi<1.5, e2=8;

[0107] When Hi<0.5, e3=1;

[0108] b is the compensation value of the number of arc phenomenon occurrences within the preset monitoring time to the risk coefficient;

[0109] When Z≥7, b=100

[0110] When 2≤Z<7, b=9;

[0111] When Z<2, b=1

[0112] q is the weight compensation value of the number of arcs to the risk coefficient.

[0113] When Z≥5, q=1

[0114] When Z<5, q=0.7

[0115] The arc monitoring unit confirms whether there is a fault in the line by comparing the risk coefficient with the actual safety risk coefficient.

[0116] When the risk coefficient is greater than or equal to the actual safety risk coefficient, it is determined that there is a fault in the line.

[0117] When the risk coefficient is less than the actual safety risk coefficient, it is determined that there is no fault in the line.

[0118] When it is determined that there is no fault in the line, the locomotive operates normally.

[0119] When it is determined that there is a fault in the line, the line fault reporting procedure is immediately started.

[0120] First, the maximum single arc duration is limited by setting a maximum value for e1, in order to avoid fire, damage to the top part of the vehicle, etc. caused by excessive arc sparks. This way, the locomotive can report in time and be repaired when the arc occurs at a point that is too dangerous, ensuring safety. A minimum value is set for e3 to limit the single arc duration, in order to exclude some small arc phenomena that inevitably occur during locomotive operation. Such small arc phenomena basically have no impact on the safety of the line, and this way, the interference of some arc phenomena with low risk on the line risk value is excluded. A maximum value is set for b to limit the number of arc phenomena within the preset monitoring duration, in order to avoid frequent arc phenomena causing the pantograph 5 and the line to be too hot, leading to line deformation. This way, when the arc phenomenon occurs too frequently, it can be reported in time and repaired. A minimum value is set for b to limit the number of arc phenomena within the preset monitoring duration, in order to exclude some small arc phenomena that inevitably occur during locomotive operation. Such small arc phenomena basically have no impact on the safety of the line, and this way, the interference of some arc phenomena with low risk on the line risk value is excluded.

[0121] When both can be in the safe range, set a weight compensation value of the arc occurrence frequency, because when the arc occurrence frequency is high, the risk of the line mainly comes from the deformation of the line caused by too many arc occurrence frequencies, at this time the weight compensation coefficient of the arc occurrence frequency is larger, when the arc occurrence frequency is low, the arc occurrence is considered to be an inevitable accidental phenomenon, and too much temperature will not accumulate to deform the line, the risk of the line mainly comes from the damage to the line caused by too long arc time, at this time the weight of the arc occurrence frequency is smaller. The risk coefficient is calculated by comprehensively considering the arc duration and the arc occurrence frequency in the preset monitoring time. In the evaluation of the calculated risk coefficient, through the determination of the different calculated risk coefficients suitable for different situations, the accuracy of the calculated risk coefficient is ensured, and the calculated risk coefficient is used to evaluate the arc phenomenon and the line safety. Accurate risk report of the line in time ensures the safety and service life of the line.

[0122] In the present example, the preset monitoring time is 10 min.

[0123] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will fall within the protection scope of the present application.

[0124] The above description is only the preferred embodiments of the present application and is not used to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A locomotive roof all-round intelligent monitoring device, characterized in that: include: A high-pressure porcelain bottle monitoring module includes a first image monitoring integration composed of a plurality of high-definition cameras for collecting image data of the high-pressure porcelain bottle; A pantograph monitoring module, comprising a second image monitoring integration consisting of a plurality of high-definition cameras for collecting pantograph image data, and an infrared monitoring integration consisting of a plurality of infrared cameras for collecting pantograph thermal imaging data; a data analysis module connected to the first image monitoring integration, the second image monitoring integration, and the infrared monitoring integration respectively; The data analysis module acquires the first image monitoring integrated data to determine the damage state of the high-voltage porcelain bottle, and determines whether to stop the locomotive and send a rescue message and whether to start a high-voltage porcelain bottle fault reporting program according to the determined damage state; The data analysis module monitors the integrated data through the second image to determine the hard point damage status of the pantograph and the occurrence of arcing to determine whether to start a line fault reporting program; A pantograph hard point damage monitoring unit, which is connected to the second image monitoring integration and the infrared monitoring integration respectively, and can analyze the hard point damage status of the pantograph based on the data collected by the second image monitoring integration and the infrared monitoring integration; and compare the pantograph image data collected by the second image monitoring integration with the pantograph standard image to divide the area, wherein the first part of the area is composed of all compliant pixels in the view, and the second part of the area is composed of all non-compliant pixels; The pantograph hard point injury monitoring unit obtains the non-compliant ratio of thermal imaging in the first part of the area and the compliant ratio of thermal imaging in the second part of the area by comparing the pixel points of the first part of the area and the second part of the area with the standard image of the pantograph; jointly calculates the compensation coefficient of the compliant ratio of the pantograph calculated by the non-compliant ratio of thermal imaging in the first part of the area, the compensation coefficient of the compliant ratio of thermal imaging in the second part of the area for the compliant ratio of the pantograph calculated, and obtains the compliant ratio of the pantograph calculated by combining the non-compliant ratio of thermal imaging in the first part of the area, the compliant ratio of thermal imaging in the second part of the area, and the compliant ratio of pantograph; The pantograph hard point damage monitoring unit determines a safety risk factor based on the pantograph compliance ratio and sets a minimum safety risk factor for verification to determine the actual safety risk factor; The pantograph arc monitoring unit confirms whether there is a fault on the line by comparing the calculated risk factor with the actual safety risk factor.

2. The all-round intelligent monitoring device for locomotive roof according to claim 1, characterized in that: Also includes: a display module connected to the data analysis module and displaying the data and alarm information processed by the data analysis module; The data analysis module comprises: a high-pressure porcelain bottle monitoring unit, connected to the first image monitoring integration, capable of analyzing the damage status of the high-pressure porcelain bottle based on data collected by the first image monitoring integration; The pantograph arcing monitoring unit is connected to the second image monitoring integration and can analyze the occurrence of the arcing phenomenon based on the data collected by the second image monitoring integration.

3. The all-round intelligent monitoring device for locomotive roof according to claim 2, characterized in that: The high-pressure porcelain bottle monitoring unit compares the high-pressure porcelain bottle image data collected by the first image monitoring integration with the high-pressure porcelain bottle standard image to obtain a high-pressure porcelain bottle compliance ratio to confirm the damage status of the high-pressure porcelain bottle, and determines whether to stop the locomotive and send a rescue message and whether to start a high-pressure porcelain bottle fault reporting program according to the damage status of the high-pressure porcelain bottle; The compliance ratio is the overlap ratio between the digital information image simulated by the collected pixel points and the standard image.

4. The all-round intelligent monitoring device for a locomotive roof according to claim 1, characterized in that: The pantograph hard point damage monitoring unit obtains the data collected by the second image monitoring integration and performs preliminary judgment and area division, and determines whether it is necessary to analyze the data collected by the infrared monitoring integration according to the preliminary judgment result; When determining that the data collected by the infrared monitoring integration needs to be analyzed, the pantograph hard point damage monitoring unit analyzes the data collected by the infrared monitoring integration according to the divided areas to determine the hard point damage status and determine whether to start the line fault reporting program.

5. The all-round intelligent monitoring device for locomotive roof according to claim 2, characterized in that The pantograph arcing monitoring unit collects the single duration of the arcing phenomenon and the number of times the arcing phenomenon occurs within the preset monitoring time through the second image monitoring integration, and determines whether there is a fault on this section of the line based on the single duration of the arcing phenomenon and the number of times the arcing phenomenon occurs within the preset monitoring time.

6. The all-round intelligent monitoring device for locomotive roof according to claim 5, characterized in that: The pantograph arc monitoring unit calculates the risk coefficient by combining the single arcing duration, the number of arcing phenomena occurring within the preset monitoring duration, the weighted compensation value of the number of arcing phenomena to the risk coefficient, the compensation value of the single arcing phenomena of different durations to the risk coefficient, and the compensation value of the number of arcing phenomena occurring within the preset monitoring duration to the risk coefficient.

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