Early warning monitoring method for interference of power cables to railway signal cables based on point cloud array

Abstract

The invention provides a method for early warning monitoring of interference of power cables to railway signal cables based on point cloud array, which belongs to the technical field of power cables, including setting a number of sampling points, collecting the cable spacing and influencing current at the sampling points, calculating the induced voltage, and dividing the collected data into two groups according to whether there is a train passing by during sampling; the two groups of collected data are respectively established with the cable spacing as the x-axis, the influencing current as the y-axis, and the induced voltage as the z-axis, and a three-dimensional coordinate system is established, and the data corresponding to each group of sampling data is marked in the three-dimensional coordinate system, one group forms a dynamic point cloud array, and the other group forms a static point cloud array; the point cloud array is fitted to obtain the corresponding fitting surface; the two groups of fitting surfaces are placed in the same coordinate system for comparison to determine whether there are hidden danger features, and if hidden danger features appear, an alarm is issued. The method can dynamically judge the influence of power cables on signal cables and accurately grasp the safety hazards.

Description

Technical Field

[0001] The present invention relates to the technical field of power cables, and in particular to a point cloud array-based early warning monitoring method for interference of power cables with railway signal cables. Background Art

[0002] In some older railway bridges, since the power cable lines on the bridges and the electrified railway signal cable lines are laid parallel to the bridges, the electromagnetic fields generated by the power cables in normal or faulty operation interlink with the signal cables in the same electromagnetic environment, inducing electric potential in the core wires of the signal cables. This induced potential may endanger the normal operation of the signal system, the insulation of the signal system equipment, and the personal safety of maintenance personnel. How to monitor the impact of high-voltage power cables on the safe operation of electrified railway signal lines is an urgent problem to be solved.

[0003] In the prior art, the evaluation is usually carried out by calculating or estimating the induced voltage of the induced magnetic field generated by the power cable in the signal cable. The magnitude of the induced voltage is related to factors such as the type of power cable fault, the geometric dimensions between the cables, the connection method of the cable metal sheath, and the distance between the strong power line and the communication line. However, for cables that have been put into use, the induced voltage during normal operation can be considered to meet safety standards and does not require repeated evaluation. As time goes by, how to check for safety hazards after the various conditions of the project change is a difficulty at this stage. At present, due to the lack of a troubleshooting mechanism, it is difficult for engineering personnel to accurately monitor the hidden danger data. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a point cloud array-based early warning monitoring method for interference of power cables with railway signal cables, which can dynamically judge the impact of power cables on signal cables and accurately grasp the safety hazards.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for early warning monitoring of interference of power cables to railway signal cables based on point cloud array, comprising the following steps:

[0006] S1: Set several sampling points, collect the cable spacing and influencing current at the sampling points, calculate the induced voltage based on the cable spacing and influencing current, and divide the collected data into two groups according to whether there is a train passing by during sampling;

[0007] S2: The two sets of data collected are respectively used to establish a three-dimensional coordinate system with the cable spacing as the x-axis, the impact current as the y-axis, and the induced voltage as the z-axis. The data corresponding to each set of sampling data is marked in the three-dimensional coordinate system. One set forms a dynamic point cloud array, and the other set forms a static point cloud array.

[0008] S3: Fit the point cloud array to obtain the corresponding fitting surface;

[0009] S4: Place the two sets of fitted surfaces in the same coordinate system for comparison to determine whether there are hidden danger features. If hidden danger features are found, an alarm is issued.

[0010] In the preferred scheme, in step S1, the method for judging whether a train has passed is as follows: a vibration sensor is set at a sampling point, and when the collected vibration frequency and amplitude reach a preset standard, it is judged that a train has passed, otherwise it is considered that no train has passed; when a train has passed, the collected cable spacing and influencing current are divided into a dynamic group, and when no train has passed, the collected cable spacing and influencing current are divided into a static group.

[0011] In a preferred solution, in step S3, the operation steps of fitting the point cloud array are as follows:

[0012] S3.1. For each marker point in the point cloud array, connect the marker point closest to it in the positive direction of the x-axis, the marker point closest to it in the negative direction of the x-axis, the marker point closest to it in the positive direction of the y-axis, and the marker point closest to it in the negative direction of the y-axis to form a basic skeleton;

[0013] S3.2, fill the grid in the basic skeleton with a plane to close the basic skeleton and obtain a primary surface;

[0014] S3.3. Fit the primary surface, soften each internal plane, make the planes transition smoothly, and obtain the fitted surface.

[0015] In a preferred solution, in step S4, the two groups of fitting surfaces are placed in the same coordinate system for comparison, and the method for determining whether there are hidden danger features includes the following steps:

[0016] S4.1. Set the basic hidden danger plane. When the height of any part of the fitting surface on the y-axis is greater than the basic hidden danger plane, it is considered that there is a hidden danger feature, otherwise proceed to the next step;

[0017] S4.2. Further determine the adhesion between the two groups of fitting surfaces. When the adhesion does not meet the preset conditions, it is considered that there are hidden danger features, otherwise it is considered that there are no hidden danger features.

[0018] In the preferred scheme, in step S4.2, the method for judging the adhesion between the two groups of fitting surfaces is: taking the fitting surface corresponding to the dynamic point cloud array as the upper surface, and taking the fitting surface corresponding to the static point cloud array as the lower surface, and obtaining a three-dimensional figure in combination with the boundary of the fitting surface, judging the thickness change of the three-dimensional figure, and calculating the adhesion according to the thickness, and if the adhesion is greater than the preset range, it is determined that it does not meet the preset conditions.

[0019] In a preferred embodiment, the calculation process of calculating the adhesion based on the thickness is as follows: calculate the z coordinate difference of the two sets of fitting surfaces under the same xy coordinates to obtain the thickness; and perform a comprehensive calculation based on the thickness and the z coordinate value to obtain the adhesion.

[0020] In a preferred embodiment, the adhesion is obtained by comprehensive calculation based on the thickness and the z-coordinate value, including:

[0021] For the determined xy coordinates, obtain the z coordinate values ​​corresponding to the two sets of fitted surfaces under the coordinates, and calculate the mean of the two z coordinate values;

[0022] Based on the thickness at the xy coordinates and the average of the two z coordinate values, the adhesion is calculated by the following formula:

[0023] S = h(1-k) + kZ;

[0024] Among them, S represents adhesion, h represents thickness, k represents hidden danger coefficient, and Z represents the mean of two z coordinate values.

[0025] The invention provides a method for early warning monitoring of interference of power cables with railway signal cables based on point cloud array, which has the following beneficial effects:

[0026] 1. A series of processing is performed through dynamic point cloud array and static point cloud array to determine the impact of the train passing on the induced voltage. By comparison, it can be determined whether the interference degree of the power cable on the signal cable is affected by the train operation, and then whether there are hidden danger characteristics. The impact of the power cable on the signal cable can be dynamically determined to accurately grasp the safety hazards.

[0027] 2. Step S1 of the present invention collects cable spacing, impact current and induced voltage in real time, and cleverly classifies the data according to whether a train passes by, thereby forming two sets of data, dynamic and static. This classification method not only improves the real-time and accuracy of the data, but also provides a reliable basis for subsequent monitoring and early warning.

[0028] 3. Step S2 of the present invention innovatively marks the data as a three-dimensional point cloud array, realizing data visualization. This visualization method not only intuitively displays the relationship between cable spacing, influencing current and induced voltage, but also optimizes the data organization method, bringing great convenience to subsequent data processing and comparative analysis.

[0029] 4. Step S3 of the present invention forms a basic skeleton by connecting the marking points, and obtains a fitting surface by plane filling and surface fitting. This fitting method not only adapts to complex data distribution and changes, but also improves the accuracy and automation of analysis.

[0030] 5. Step S4 of the present invention innovatively realizes the judgment of hidden danger characteristics by setting a basic hidden danger plane and judging the adhesion between two sets of fitting surfaces. This method not only comprehensively considers potential interference problems, but also improves the accuracy and reliability of early warning, and has broad practical value and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0032] Figure 1 It is an implementation flow chart of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution will be clearly and completely described below in combination with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0035] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0036] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0037] The technical solution of the present invention is described in detail with specific embodiments below. The embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0038] Combination Figure 1 The specific embodiments of the present invention are described in further detail.

[0039] When the high-voltage lines around the electrified railway are laid in parallel with the signal cables, there is coupling capacitance between the high-voltage lines and the signal cables, and the high-voltage lines and the signal cables themselves also have capacitance to the ground. These distributed capacitances will generate electrostatic transmission voltage on the signal cables. When the human body touches the signal cable, an electrostatic current is formed through the human body. The magnitude of the electrostatic induced voltage is related to factors such as the type of power cable fault, the geometric dimensions between the cables, the connection method of the cable metal sheath, and the distance between the high-voltage lines and the communication lines. This influence is called capacitive coupling influence, that is, electrostatic induction influence. Among them, current and distance are one of the most significant factors.

[0040] A method for early warning and monitoring interference of power cables to railway signal cables based on a point cloud array comprises the following steps:

[0041] S1: Set up several sampling points, collect the cable spacing and influencing current at the sampling points, calculate the induced voltage based on the cable spacing and influencing current, and divide the collected data into two groups based on whether there is a train passing during sampling. The cable spacing refers to the spacing between the power cable and the signal cable, and the influencing current is the current generated by the power cable.

[0042] Specifically, the simplified formula for calculating the induced voltage is:

[0043] ;

[0044] in: V Induction is the induced voltage; I is the influencing current in the power cable; dL is the length of the cable segment under consideration (which may be a differential element in actual calculations, but may be a fixed length for simplified calculations); D is the spacing between power cables and railway signal cables; k It is a constant that includes the influence of factors such as the electromagnetic properties of the cable and soil conditions.

[0045] The method for judging whether a train has passed is as follows: a vibration sensor is set at the sampling point, and when the collected vibration frequency and amplitude reach the preset standard, it is judged that a train has passed, otherwise it is considered that no train has passed; when a train has passed, the collected cable spacing and influencing current are divided into a dynamic group, and when no train has passed, the collected cable spacing and influencing current are divided into a static group.

[0046] S2: The two sets of collected data are respectively used to establish a three-dimensional coordinate system with the cable spacing as the x-axis, the impact current as the y-axis, and the induced voltage as the z-axis. The data corresponding to each set of sampling data is marked in the three-dimensional coordinate system. One set forms a dynamic point cloud array, and the other set forms a static point cloud array.

[0047] S3: Fit the point cloud array to obtain the corresponding fitting surface.

[0048] The steps for fitting the point cloud array are as follows:

[0049] S3.1. For each marker point in the point cloud array, connect the marker point closest to it in the positive direction of the x-axis, the marker point closest to it in the negative direction of the x-axis, the marker point closest to it in the positive direction of the y-axis, and the marker point closest to it in the negative direction of the y-axis to form a basic skeleton;

[0050] S3.2, fill the grid in the basic skeleton with a plane to close the basic skeleton and obtain a primary surface;

[0051] S3.3. Fit the primary surface, soften each internal plane, make the planes transition smoothly, and obtain the fitted surface.

[0052] S4: Place the two sets of fitted surfaces in the same coordinate system for comparison to determine whether there are hidden danger features. If hidden danger features are found, an alarm is issued.

[0053] The method for determining whether there are hidden danger characteristics includes the following steps:

[0054] S4.1. Set the basic hidden danger plane. When the height of any part of the fitting surface on the y-axis is greater than the basic hidden danger plane, it is considered that there is a hidden danger feature, otherwise proceed to the next step;

[0055] S4.2. Further determine the adhesion between the two groups of fitting surfaces. When the adhesion does not meet the preset conditions, it is considered that there are hidden danger features, otherwise it is considered that there are no hidden danger features.

[0056] The method for judging the adhesion between the two sets of fitting surfaces is as follows: taking the fitting surface corresponding to the dynamic point cloud array as the upper surface, and taking the fitting surface corresponding to the static point cloud array as the lower surface, a three-dimensional figure is obtained by combining the boundaries of the fitting surfaces, and the thickness change of the three-dimensional figure is judged. The adhesion is calculated according to the thickness, and if the adhesion is greater than the preset range, it is determined that the preset conditions are not met.

[0057] The calculation process of calculating the adhesion based on the thickness is as follows: calculate the z-coordinate difference between the two sets of fitting surfaces under the same xy coordinates to obtain the thickness; and perform a comprehensive calculation based on the thickness and the z-coordinate value to obtain the adhesion.

[0058] The adhesion is obtained by comprehensive calculation based on the thickness and the z-coordinate value, including:

[0059] For the determined xy coordinates, obtain the z coordinate values ​​corresponding to the two sets of fitted surfaces under the coordinates, and calculate the mean of the two z coordinate values;

[0060] Based on the thickness at the xy coordinates and the average of the two z coordinate values, the adhesion is calculated by the following formula:

[0061] S = h(1-k) + kZ;

[0062] Among them, S represents adhesion, h represents thickness, k represents hidden danger coefficient, and Z represents the mean of two z coordinate values.

[0063] From the formula, we can see that the adhesion is not only affected by the thickness, but also by the mean of the two z coordinate values. When the mean is small, even if the thickness is large, it is still within the safety margin, and when the mean is large, even if the thickness is small, it is easy to break the safety margin. The hidden danger coefficient k can be obtained by training based on historical data, or set according to historical experience and safety standards.

[0064] This method performs a series of processing through dynamic point cloud array and static point cloud array to determine the impact of the passing train on the induced voltage. By comparison, it can be determined how the degree of interference of the power cable on the signal cable is affected by the train operation, and then whether there are hidden danger characteristics. The impact of the power cable on the signal cable can be dynamically determined to accurately grasp the safety hazard situation.

[0065] In the embodiments provided in the present application, it should be understood that the disclosed structures and methods can be implemented in other ways. When implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0066] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for early warning and monitoring interference of power cables to railway signal cables based on point cloud array, characterized in that: The following steps are involved: S1: Set several sampling points, collect the cable spacing and influencing current at the sampling points, calculate the induced voltage based on the cable spacing and influencing current, and divide the collected data into two groups according to whether there is a train passing by during sampling; S2: The two sets of data collected are respectively used to establish a three-dimensional coordinate system with the cable spacing as the x-axis, the impact current as the y-axis, and the induced voltage as the z-axis. The data corresponding to each set of sampling data is marked in the three-dimensional coordinate system. One set forms a dynamic point cloud array, and the other set forms a static point cloud array. S3: Fit the point cloud array to obtain the corresponding fitting surface; S4: Place the two sets of fitted surfaces in the same coordinate system for comparison to determine whether there are hidden danger features. If hidden danger features are found, an alarm is issued.

2. According to the point cloud array-based early warning monitoring method for interference of power cables to railway signal cables according to claim 1, it is characterized in that: In step S1, the method for determining whether a train has passed is as follows: a vibration sensor is set at a sampling point, and when the collected vibration frequency and amplitude reach a preset standard, it is determined that a train has passed, otherwise it is considered that no train has passed; when a train has passed, the collected cable spacing and influencing current are divided into a dynamic group, and when no train has passed, the collected cable spacing and influencing current are divided into a static group.

3. According to claim 1, a method for early warning and monitoring interference of power cables to railway signal cables based on point cloud array is characterized in that: In step S3, the steps of fitting the point cloud array are as follows: S3.

1. For each marker point in the point cloud array, connect the marker point closest to it in the positive direction of the x-axis, the marker point closest to it in the negative direction of the x-axis, the marker point closest to it in the positive direction of the y-axis, and the marker point closest to it in the negative direction of the y-axis to form a basic skeleton; S3.2, fill the grid in the basic skeleton with a plane to close the basic skeleton and obtain a primary surface; S3.

3. Fit the primary surface, soften each internal plane, make the planes transition smoothly, and obtain the fitted surface.

4. According to claim 1, a method for early warning and monitoring interference of power cables to railway signal cables based on point cloud array is characterized in that: In step S4, the two groups of fitting surfaces are placed in the same coordinate system for comparison. The method for determining whether there are hidden danger features includes the following steps: S4.

1. Set the basic hidden danger plane. When the height of any part of the fitting surface on the y-axis is greater than the basic hidden danger plane, it is considered that there is a hidden danger feature, otherwise proceed to the next step; S4.

2. Further determine the adhesion between the two groups of fitting surfaces. When the adhesion does not meet the preset conditions, it is considered that there are hidden danger features, otherwise it is considered that there are no hidden danger features.

5. The method for early warning and monitoring interference of power cables to railway signal cables based on point cloud array according to claim 4 is characterized in that: In step S4.2, the method for judging the adhesion between the two groups of fitting surfaces is as follows: taking the fitting surface corresponding to the dynamic point cloud array as the upper surface, and taking the fitting surface corresponding to the static point cloud array as the lower surface, a three-dimensional figure is obtained in combination with the boundary of the fitting surface, and judging the thickness change of the three-dimensional figure, and calculating the adhesion according to the thickness. If the adhesion is greater than the preset range, it is determined that the preset conditions are not met.

6. The method for early warning and monitoring of interference of power cables to railway signal cables based on point cloud array according to claim 5 is characterized in that: The calculation process of calculating the adhesion based on the thickness is as follows: calculate the z-coordinate difference between the two sets of fitting surfaces under the same xy coordinates to obtain the thickness; and perform a comprehensive calculation based on the thickness and the z-coordinate value to obtain the adhesion.

7. The method for early warning and monitoring of interference of power cables to railway signal cables based on point cloud array according to claim 6 is characterized in that: The adhesion is obtained by comprehensive calculation based on the thickness and the z-coordinate value, including: For the determined xy coordinates, obtain the z coordinate values ​​corresponding to the two sets of fitted surfaces under the coordinates, and calculate the mean of the two z coordinate values; Based on the thickness at the xy coordinate and the average of the two z coordinate values, the adhesion is calculated by the following formula: S = h(1-k) + kZ; Among them, S represents adhesion, h represents thickness, k represents hidden danger coefficient, and Z represents the mean of two z coordinate values.

Images