Double circuit line electric field detection early warning method and system

Abstract

The present application relates to the technical field of double circuit line electric field detection, in particular to a double circuit line electric field detection and early warning method and system. The method has the following steps: S1, obtaining an electric field distribution model of a target area based on theoretical calculation; S2, establishing a regional electric field model; S3, obtaining a reconstructed electric field distribution model; S4, obtaining the real-time spatial coordinates of a target person; S5, based on the reconstructed electric field distribution model, obtaining an electric field distribution set at a set region set with the real-time spatial coordinates as the reference, and performing a warning action when there is a value exceeding the set alarm threshold in the electric field distribution set. The system is used to implement the above method. The present application can preferably realize early warning of electric field overlimit based on theoretical values and field measured values.

Description

Technical Field

[0001] This invention relates to the field of electric field detection technology for double-circuit lines, and more specifically, to a method and system for electric field detection and early warning of double-circuit lines. Background Technology

[0002] Multi-circuit transmission technology on a single tower refers to the erection of two or more circuits on a single tower. These multi-circuit transmission lines can be of the same voltage level or different voltage levels. Given my country's vast territory and uneven energy distribution, regional disparities in economic development dictate that "nationwide grid interconnection, west-to-east power transmission, and north-south power supply" will inevitably become the fundamental approach for optimizing resource allocation across the largest possible area in my country. Ultra-high voltage (UHV) transmission can effectively save on line corridor space and reduce transmission bottlenecks, resulting in significant economic and social benefits, making it an inevitable choice for the development of my country's power industry.

[0003] With increasingly scarce transmission line corridor resources, it is inevitable that UHVDC lines and extra-high voltage AC lines will be erected in parallel or share corridors. The parallel construction of energized transmission lines is becoming more and more common. Sometimes, it is even necessary to dismantle old lines and merge them with new lines to form multi-circuit lines on the same tower. There are more and more cases of induced single hazards in new lines. There is a relatively serious coupling effect between AC and DC lines, which will generate large induced voltage and induced current on lines that are out of service for maintenance or work. Summary of the Invention

[0004] This invention provides a method for detecting and warning of electric field in a dual-circuit line, which can overcome some or all the defects of the prior art.

[0005] According to a method for detecting and warning the electric field of a double-circuit line according to the present invention, it comprises the following steps:

[0006] S1. Obtain the electric field distribution model E of the target region based on theoretical calculations. 1 , Let P be the spatial coordinate. i The theoretical electric field value at the i-th point, P i =(x i y i , z i );

[0007] S2, Obtain spatial coordinates (x j y j , z j The j-th known point P) j The actual electric field E at the location j Establish a regional electric field model E 2 , P j r Given point Pj Let r be the set of points within a spatial sphere with center r and a set radius r.

[0008] S3, Based on electric field distribution model E 1 and regional electric field model E 2 Obtain the reconstructed electric field distribution model E, E = {(E k P k )|k∈N +};E k Let P be the spatial coordinate. k The theoretical electric field value at the k-th point, P k =(x k y k , z k );

[0009] in,

[0010]

[0011] S4. Obtain the real-time spatial coordinates P of the target personnel. n P n =(x n y n , z n ), P n ∈{P i |i∈N +};

[0012] S5. Based on the reconstructed electric field distribution model E, obtain the real-time spatial coordinates P. n The set of defined regions P is based on 0 The set of electric field distributions at point E 0 P 0 ∈{P i |i∈N +}; and in the electric field distribution set E 0 There is an alarm threshold E that exceeds the set alarm threshold. * When the value is [value], an alert action is executed.

[0013] The above method allows for the initial calculation of the electric field distribution in the target area, providing initial reference data for construction and maintenance under double-circuit circuits and facilitating the development of initial protection plans. However, current methods for calculating the electric field of overhead lines rely heavily on assumptions, making it difficult to accurately reflect the actual electric field distribution within the target area. Furthermore, personnel and equipment within the target area can cause electric field distortion during construction. Therefore, the electric field values ​​obtained through theoretical calculations are only for reference and cannot be used as a direct source of safety information during actual construction.

[0014] In addition, considering that the changes in the electric field caused by the electric field distortion in the region are difficult to determine in advance, step S2 can be used to collect the spatial coordinates and corresponding actual electric field of each known point when it is located in the target region. By establishing a regional electric field model, the actual changes in the electric field caused by the electric field distortion when each known point is located in the target region can be obtained.

[0015] Subsequently, step S3 can obtain a reconstructed electric field distribution model that combines the electric field distribution model and the regional electric field model. Therefore, when the target personnel are located in the target area, the theoretical value of the electric field can be corrected by the distorted electric field of the known point, so as to more accurately predict the actual electric field at the location of the target personnel. Through this prediction, a better safety warning for the target personnel can be achieved.

[0016] Preferably, step S1 specifically includes the following steps.

[0017] S11. Establish a coordinate system for calculating the electric field in the target area, with the direction perpendicular to the line running direction as the horizontal axis X and the height direction as the vertical axis Y.

[0018] S12. Establish the electric field value E of the target region. 1* The electric field distribution function E between the coordinates (X, Y) of the electric field calculation coordinate system and the coordinates of the electric field calculation system. 1* = f(X, Y);

[0019] S13. Set the initial sampling point (X1, Y1) and sampling step size γ, perform discrete sampling on the electric field distribution function, and then obtain the discrete electric field distribution sequence E of the target region. 1# ,

[0020]

[0021] in, For sampling point (X) i Y i The theoretical electric field value at point X, [X] min X max [Y] represents the interval between the minimum and maximum coordinates of the target region on the horizontal axis X, and [Y] represents the range of coordinates. min Y max [] represents the interval between the minimum and maximum values ​​of the target region's coordinates on the vertical axis Y;

[0022] S14. Construct the transformation matrix between the electric field calculation coordinate system and the spatial coordinate system, and then convert the sampling points (X... i Y i Transform the coordinates to the coordinate system of the spatial coordinates, and then obtain the electric field distribution model E. 1 .

[0023] In this embodiment, the spatial discrete distribution of the electric field in the target region within the computational plane can be obtained by discretely sampling the electric field distribution function obtained based on theoretical calculations. Then, through coordinate transformation, the discrete electric field distribution model E can be obtained more effectively. 1 This allows complex continuous problems to be transformed into simpler discrete problems, which is beneficial for subsequent data processing.

[0024] Preferably, in step S2, the known point P is first obtained. j Actual spatial coordinates of the location Then obtain the set {P i |i∈N + In the actual space coordinates Find the element with the smallest Euclidean distance in space and use it as a known point P. j The spatial coordinates are (x j y j , z j Therefore, it can better map the actual measured continuous coordinate quantities to the discrete set {P}. i |i∈N + This facilitates subsequent data processing.

[0025] Preferably, in step S4, the actual real-time spatial coordinates of the target person are first obtained. Then obtain the set {P i |i∈N +} and actual real-time spatial coordinates The element with the smallest Euclidean distance in space is used as the real-time spatial coordinate P of the target person. n Therefore, it can better map the actual measured continuous coordinate quantities to the discrete set {P}. i |i∈N + This facilitates subsequent data processing.

[0026] Preferably, in step S4, the real-time actual electric field E of the target person is simultaneously acquired. n The reconstructed electric field distribution model E is updated according to steps S2 and S3, using the location of the target personnel as a known point. Therefore, based on the activities of the target personnel in the target area, the reconstructed electric field distribution model of the target area can be continuously corrected and updated in real time. This allows for a better gradual improvement of the reconstructed electric field distribution model and better real-time updates based on actual measurement values.

[0027] Preferably, in step S5, the unit movement vector (Δx, Δy, Δz) of the target personnel is obtained for a given region set P. 0 Any point P in l 0 coordinates The following relationship must be satisfied:

[0028]

[0029] Where Q is the set span value.

[0030] The set of defined regions P constructed using the above method 0 It can acquire relevant points in the area in front of the target person's direction of movement, thus effectively enabling subsequent safety warnings based on the target person's direction of movement.

[0031] Preferably, in step S5, the three velocity components V of the target person in the coordinate system of the spatial coordinates are obtained. x V y and V z ; and based on the velocity component V x V y and V z Obtain the unit movement vector (Δx, Δy, Δz).

[0032]

[0033] The above methods enable the direct and efficient construction of the unit movement vector of a target person using spatial velocity sensors such as gyroscopes.

[0034] Furthermore, the present invention also provides a dual-circuit line electric field detection and early warning system, which is used to implement any of the above-mentioned dual-circuit line electric field detection and early warning methods, characterized in that it includes:

[0035] The first computational unit is used to generate the electric field distribution model E of the target region. 1 ;

[0036] The second computational unit is used to generate the regional electric field model E. 2 ;

[0037] The third calculation unit is used to establish and update the reconstructed electric field distribution model E;

[0038] The acquisition unit is used to realize the real-time spatial coordinates P of the target personnel within the target area. n Acquisition;

[0039] Processing unit, which is used to generate a set of defined regions P 0 and the corresponding electric field distribution set E 0 And used in the electric field distribution set E 0 There is an alarm threshold E that exceeds the set alarm threshold. * When the value is [value], a warning signal is generated; and

[0040] The early warning unit is used to perform early warning actions when an early warning signal is received.

[0041] The above system can effectively achieve electric field detection and early warning for dual-circuit lines.

[0042] Preferably, the acquisition unit, processing unit, and early warning unit are integrated into a dual-circuit line electric field detection and early warning device.

[0043] Preferably, the acquisition unit includes an electric field sensor, a coordinate sensor, and a velocity sensor. Attached Figure Description

[0044] Figure 1 This is a flowchart illustrating the electric field detection and early warning method for a double-circuit line in Example 1.

[0045] Figure 2 This is a block diagram of the electric field detection and early warning system for a double-circuit line in Example 2;

[0046] Figure 3 This is a schematic diagram of the circuit block of the electric field detection and early warning device for the double-circuit line in Example 3;

[0047] Figure 4 This is a schematic diagram of the structure of the double-circuit line electric field detection and early warning device in Example 3;

[0048] Figure 5 This is an exploded schematic diagram of the main body of the device in Example 3;

[0049] Figure 6 This is a half-sectional schematic diagram of the main body of the device in Example 3 under an explosive state;

[0050] Figure 7 This is a schematic diagram of the structure of the second main body in Example 3;

[0051] Figure 8 This is a schematic diagram of the structure of the first main body in Example 3. Detailed Implementation

[0052] To further understand the content of this invention, the invention will be described in detail with reference to the embodiments. It should be understood that the embodiments are merely illustrative and not limiting of the invention.

[0053] Example 1

[0054] Seen in Figure 1 This embodiment provides a method for detecting and warning of electric field in a double-circuit line, which includes the following steps:

[0055] S1. Obtain the electric field distribution model E of the target region based on theoretical calculations. 1 , Let P be the spatial coordinate. i The theoretical electric field value at the i-th point, P i =(x i y i , z i );

[0056] S2, Obtain spatial coordinates (x j y j , z j The j-th known point P) j The actual electric field E at the location j Establish a regional electric field model E 2 , P j r Given point P j Let r be the set of points within a spatial sphere with center r and a set radius r.

[0057] S3, Based on electric field distribution model E 1 and regional electric field model E 2 Obtain the reconstructed electric field distribution model E, E = {(E k P k )|k∈N +};E k Let P be the spatial coordinate. k The theoretical electric field value at the k-th point, P k =(x k y k , z k );

[0058] in,

[0059]

[0060] S4. Obtain the real-time spatial coordinates P of the target personnel. n P n =(x n y n , z n ), P n ∈{P i |i∈N +};

[0061] S5. Based on the reconstructed electric field distribution model E, obtain the real-time spatial coordinates P. n The set of defined regions P is based on 0 The set of electric field distributions at point E 0 P 0 ∈{P i |i∈N +}; and in the electric field distribution set E 0There is an alarm threshold E that exceeds the set alarm threshold. * When the value is [value], an alert action is executed.

[0062] The above method allows for the initial calculation of the electric field distribution in the target area, providing initial reference data for construction and maintenance under double-circuit circuits and facilitating the development of initial protection plans. However, current methods for calculating the electric field of overhead lines rely heavily on assumptions, making it difficult to accurately reflect the actual electric field distribution within the target area. Furthermore, personnel and equipment within the target area can cause electric field distortion during construction. Therefore, the electric field values ​​obtained through theoretical calculations are only for reference and cannot be used as a direct source of safety information during actual construction.

[0063] In addition, considering that the changes in the electric field caused by the electric field distortion in the region are difficult to determine in advance, step S2 can be used to collect the spatial coordinates and corresponding actual electric field of each known point when it is located in the target region. By establishing a regional electric field model, the actual changes in the electric field caused by the electric field distortion when each known point is located in the target region can be obtained.

[0064] Subsequently, step S3 can obtain a reconstructed electric field distribution model that combines the electric field distribution model and the regional electric field model. Therefore, when the target personnel are located in the target area, the theoretical value of the electric field can be corrected by the distorted electric field of the known point, so as to more accurately predict the actual electric field at the location of the target personnel. Through this prediction, a better safety warning for the target personnel can be achieved.

[0065] It is understood that in step S2 of this embodiment, by acquiring the distorted electric field of a known point and setting the electric field values ​​of the spherical region centered on the known point as the distorted electric field of the known point, the correction of the theoretical electric field value acquired in step S1 can be achieved more effectively. The set radius r can be adjusted according to actual accuracy requirements, such as setting it to 1m.

[0066] It is understood that in step S5 of this embodiment, the electric field distribution set of the set of areas where the target person is located can be obtained based on the real-time spatial coordinates of the target person obtained in step S4. Then, the determination of whether there is an electric field exceeding the limit near the target person can be better realized, thus better realizing the safety warning function.

[0067] Step S1 in this embodiment specifically includes the following steps:

[0068] S11. Establish a coordinate system for calculating the electric field in the target area, with the direction perpendicular to the line running direction as the horizontal axis X and the height direction as the vertical axis Y.

[0069] S12. Establish the electric field value E of the target region. 1* The electric field distribution function E between the coordinates (X, Y) of the electric field calculation coordinate system and the coordinates of the electric field calculation system. 1* = f(X, Y);

[0070] S13. Set the initial sampling point (X1, Y1) and sampling step size γ, perform discrete sampling on the electric field distribution function, and then obtain the discrete electric field distribution sequence E of the target region. 1# ,

[0071]

[0072] Among them, E i 1# For sampling point (X) i Y i The theoretical electric field value at point X, [X] min X max [Y] represents the interval between the minimum and maximum coordinates of the target region on the horizontal axis X, and [Y] represents the range of coordinates. min Y max [] represents the interval between the minimum and maximum values ​​of the target region's coordinates on the vertical axis Y;

[0073] S14. Construct the transformation matrix between the electric field calculation coordinate system and the spatial coordinate system, and then convert the sampling points (X... i Y i Transform the coordinates to the coordinate system of the spatial coordinates, and then obtain the electric field distribution model E. 1 .

[0074] In this embodiment, the spatial discrete distribution of the electric field in the target region within the computational plane can be obtained by discretely sampling the electric field distribution function obtained based on theoretical calculations. Then, through coordinate transformation, the discrete electric field distribution model E can be obtained more effectively. 1 This allows complex continuous problems to be transformed into simpler discrete problems, which is beneficial for subsequent data processing.

[0075] In this embodiment, the electric field distribution function E 1* =f(X,Y) can be achieved by conventional theoretical calculation methods such as charge simulation method and finite element analysis method. The solution in this embodiment is only a secondary improvement on the electric field distribution obtained by theory, so the implementation steps in this part will not be described in detail.

[0076] In S13 of this embodiment, the initial sampling point (X1, Y1) can be set as the maximum sag point, the tower centerline point, the conductor suspension point, or a point located at the conductor, etc., which can better facilitate the determination of the initial sampling point.

[0077] In this embodiment, the sampling step size γ can be preset according to the accuracy requirements of the actual electric field distribution model. Specifically, the sampling step size γ should not exceed the set radius r in step S2, and γ = 0.01r to 0.05r is preferred.

[0078] In step S2 of this embodiment, the known point P is first obtained. j Actual spatial coordinates of the location Then obtain the set {P i |i∈N + In the actual space coordinates Find the element with the smallest Euclidean distance in space and use it as a known point P. j The spatial coordinates are (x j y j , z j Therefore, it can better map the actual measured continuous coordinate quantities to the discrete set {P}. i |i∈N + This facilitates subsequent data processing.

[0079] In step S4 of this embodiment, the actual real-time spatial coordinates of the target person are first obtained. Then obtain the set {P i |i∈N +} and actual real-time spatial coordinates The element with the smallest Euclidean distance in space is used as the real-time spatial coordinate P of the target person. n Therefore, it can better map the actual measured continuous coordinate quantities to the discrete set {P}. i |i∈N + This facilitates subsequent data processing.

[0080] In step S4 of this embodiment, the real-time actual electric field E of the target person is simultaneously acquired. n The reconstructed electric field distribution model E is updated according to steps S2 and S3, using the location of the target personnel as a known point. Therefore, based on the activities of the target personnel in the target area, the reconstructed electric field distribution model of the target area can be continuously corrected and updated in real time. This allows for a better gradual improvement of the reconstructed electric field distribution model and better real-time updates based on actual measurement values.

[0081] In step S5 of this embodiment, the unit movement vector (Δx, Δy, Δz) of the target person is obtained for a given region set P. 0 Any point P in l 0 coordinates The following relationship must be satisfied:

[0082]

[0083] Where Q is the set span value.

[0084] The set of defined regions P constructed using the above method 0 It can acquire relevant points in the area in front of the target person's direction of movement, thus effectively enabling subsequent safety warnings based on the target person's direction of movement.

[0085] In this embodiment, the span value Q should satisfy the following condition: the set of regions P is set as follows. 0 Each element in the equation is related to point P. l 0 The maximum spatial distance shall not be less than the set safety distance S, which is obtained based on the target personnel's real-time speed, real-time acceleration, and set safety reaction time T. The set safety reaction time T refers to the shortest time required for the target personnel to receive the warning signal and be fully capable of taking adequate action, such as 10 seconds. The target personnel's real-time speed, real-time acceleration, etc., can be obtained through relevant sensors.

[0086] In step S5 of this embodiment, the three velocity components V of the target person in the coordinate system of the spatial coordinates are obtained. x V y and V z ; and based on the velocity component V x V y and V z Obtain the unit movement vector (Δx, Δy, Δz).

[0087]

[0088] The above methods enable the direct and efficient construction of the unit movement vector of a target person using spatial velocity sensors such as gyroscopes.

[0089] Example 2

[0090] Seen in Figure 2 This embodiment provides a double-circuit line electric field detection and early warning system, which is used in the double-circuit line electric field detection and early warning method in Embodiment 1, and includes:

[0091] The first computational unit is used to generate the electric field distribution model E of the target region. 1 ;

[0092] The second computational unit is used to generate the regional electric field model E. 2 ;

[0093] The third calculation unit is used to establish and update the reconstructed electric field distribution model E;

[0094] The acquisition unit is used to realize the real-time spatial coordinates P of the target personnel within the target area. n Acquisition;

[0095] Processing unit, which is used to generate a set of defined regions P 0 and the corresponding electric field distribution set E 0 And used in the electric field distribution set E 0 There is an alarm threshold E that exceeds the set alarm threshold. * When the value is [value], a warning signal is generated; and

[0096] The early warning unit is used to perform early warning actions when an early warning signal is received.

[0097] The above system can effectively achieve electric field detection and early warning for dual-circuit lines.

[0098] The first, second, and third computing units can be integrated into the remote system, while the acquisition, processing, and early warning units can be integrated into a dual-circuit line electric field detection and early warning device. The dual-circuit line electric field detection and early warning device and the remote system can transmit data wirelessly. Therefore, the dual-circuit line electric field detection and early warning device can be worn by the target personnel to achieve the desired early warning action. The remote system can better utilize its more powerful computing resources to perform relevant data calculation and storage.

[0099] Understandably, when a dual-circuit line electric field detection and early warning device needs to be worn by the target personnel, it also needs to be equipped with a battery unit to provide power.

[0100] In addition, the first computing unit can be implemented based on existing methods such as charge simulation and finite element analysis.

[0101] In this implementation, the data acquisition unit is equipped with electric field sensors, coordinate sensors, velocity sensors, etc., to acquire information such as actual electric field, actual real-time spatial coordinates, real-time velocity, and real-time acceleration.

[0102] Among them, coordinate sensors can be implemented based on satellite positioning or positioning systems deployed at construction sites.

[0103] The speed sensor can be implemented using a device such as a gyroscope.

[0104] Example 3

[0105] Seen in Figure 3 This embodiment provides a dual-circuit line electric field detection and early warning device, which integrates the system in embodiment 2 and can cooperate to implement the method in embodiment 1.

[0106] Seen in Figure 4The electric field detection and early warning device provided in this embodiment includes a device body 120 that is ellipsoidal in shape. The device body 120 includes a first body 121 and a second body 122 that can be separated. Both the first body 121 and the second body 122 are semi-ellipsoidal shells and are made of metal.

[0107] The first body 121 forms a first cavity inside, and a first partition 311 and a second partition 312 are arranged at intervals in the first cavity. The first partition 311 and the second partition 312 are used to sequentially form a first mounting cavity 321, a first vibration cavity 322 and a second mounting cavity 323 that are independent of each other in the first cavity.

[0108] The second body 122 forms a second cavity inside, and a third partition 331 and a fourth partition 332 are provided at intervals in the second cavity. The third partition 331 and the fourth partition 332 are used to sequentially form a third mounting cavity 341, a second vibration cavity 342 and a fourth mounting cavity 343 that are independent of each other in the second cavity.

[0109] The processor module and communication circuit are installed in the first mounting cavity 321, the power supply circuit is installed in the second mounting cavity 323, the coordinate sensor and velocity sensor are installed in the third mounting cavity 341, and the electric field sensor is installed in the fourth mounting cavity 343; the first vibration cavity 322 and the second vibration cavity 342 are used to jointly form a vibration cavity, and a vibration module 210 is installed in the vibration cavity.

[0110] In this embodiment, the device body 120 is constructed from a first body 121 and a second body 122 made of metal. This effectively shields the relevant circuits / systems located inside the device body 120, thus better preventing electromagnetic interference from strong external electric fields and improving detection accuracy. Furthermore, the overall ellipsoidal shape of the device body 120 further prevents the formation of large induced currents on its surface. Considering that the device body 120 needs to be carried by personnel, and that power construction sites are complex environments involving high-altitude operations, conventional sound and light alarms are unlikely to attract sufficient attention and may distract personnel. Therefore, the vibration module 210 enables tactile alarm detection, facilitating use at construction sites.

[0111] In this embodiment, the electric field sensor, coordinate sensor, and velocity sensor together constitute the acquisition unit, wherein the coordinate sensor can be, for example, a Beidou positioning module, and the velocity sensor can be, for example, a gyroscope.

[0112] In this embodiment, the processor module and communication circuit together constitute a processing unit, which facilitates data processing.

[0113] In this embodiment, the vibration module 210 constitutes an early warning unit, which is therefore beneficial for early warning when the electric field exceeds the limit.

[0114] The power supply circuit in this embodiment includes a power supply battery, thus enabling better power supply to the relevant circuits / systems.

[0115] In this embodiment, the electric field detection and early warning device collects the actual electric field, real-time spatial coordinates, real-time velocity, and real-time acceleration of the target personnel's location through electric field sensors, coordinate sensors, and velocity sensors, respectively. The collected data is packaged in the processor module and sent to the remote system through the communication circuit to establish or update the reconstructed electric field distribution model E. At the same time, the processor module judges whether the electric field exceeds the limit based on the latest reconstructed electric field distribution model E and the collected data, and generates an early warning signal when the electric field exceeds the limit. The vibration module 210 acts based on the early warning signal, thereby realizing the early warning of the target personnel.

[0116] In this embodiment, a first cover plate 351, a second cover plate 352, a third cover plate 353, and a fourth cover plate 354 are respectively provided at the first mounting cavity 321, the second mounting cavity 323, the third mounting cavity 341, and the fourth mounting cavity 343. Therefore, the protection of the relevant circuits / systems can be better achieved.

[0117] In this embodiment, first electrode holes 361 and second electrode holes 362 are formed at corresponding locations on the first cover plate 351 and the third cover plate 353, respectively, and first interface pairs are provided at the first electrode holes 361 and the second electrode holes 362; third electrode holes 363 and fourth electrode holes 364 are formed at corresponding locations on the second cover plate 352 and the fourth cover plate 354, respectively, and second interface pairs are provided at the third electrode holes 363 and the fourth electrode holes 364; the first interface pairs and the second interface pairs are used to realize the electrical connection and data interaction between the coordinate sensor, the speed sensor, and the electric field sensor, the processor module, and the power supply circuit. Therefore, the power supply and data interaction of the related circuits / systems located between the first main body 121 and the second main body 122 are preferably realized.

[0118] In this embodiment, communication ports 371 are provided in the first mounting cavity 321, the third mounting cavity 341, and the fourth mounting cavity 343. Therefore, it can better facilitate the interaction between the communication circuit, the coordinate sensor, the electric field sensor, and external data.

[0119] In this embodiment, the vibration module 210 includes a polarization motor 211, with an eccentric block 213 disposed at the motor shaft 212 of the polarization motor 211. The polarization motor 211 is mounted on a motor base 215, and the end of the motor shaft 212 is mounted on a shaft seat 214. The vibration module 210 is fixedly mounted on the first vibration cavity 322 or the second vibration cavity 342 via the motor base 215 and the shaft seat 214. Therefore, the assembly of the vibration module 210 can be achieved more efficiently.

[0120] In this embodiment, the device body 120 cooperates with a fixing component 110, which is used to assemble the first body 121 and the second body 122. Therefore, the assembly and disassembly of the first body 121 and the second body 122 can be achieved more effectively.

[0121] In this embodiment, the fixing component 110 includes a first clamp 111 and a second clamp 112. The first body 121 and the second body 122 are respectively provided with a first clamp groove 220 and a second clamp groove 230 at the locations corresponding to the first clamp 111 and the second clamp 112. Therefore, the assembly and disassembly between the first body 121 and the second body 122 can be achieved more effectively.

[0122] In this embodiment, a lifting lug 113 is provided between the first clamp 111 and the second clamp 112, which facilitates the carrying of the main body 120 of the device.

[0123] The present invention and its embodiments have been described above illustratively. This description is not restrictive, and the embodiments shown are only part of the embodiments of the present invention. The actual structure is not limited thereto. Therefore, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for detecting and warning the electric field of a double-circuit line, comprising the following steps: S1. Obtain the electric field distribution model E of the target region based on theoretical calculations. 1 , Let P be the spatial coordinate. i The theoretical electric field value at the i-th point, P i =(x i y i , z i ); S2, Obtain spatial coordinates (x j y j , z j The j-th known point P) j The actual electric field E at the location j Establish a regional electric field model E 2 , P j r Given point P j Let r be the set of points within a spatial sphere with center r and a set radius r. S3, Based on electric field distribution model E 1 and regional electric field model E 2 Obtain the reconstructed electric field distribution model E, E = {(E k P k )|k∈N + };E k Let P be the spatial coordinate. k The theoretical electric field value at the k-th point, P k =(x k y k , z k ); in, S4. Obtain the real-time spatial coordinates P of the target personnel. n P n =(x n y n , z n ), P n ∈{P i |i∈N + }; S5. Based on the reconstructed electric field distribution model E, obtain the real-time spatial coordinates P. n The set of defined regions P is based on 0 The set of electric field distributions at point E 0 P 0 ∈{P i |i∈N + }; and in the electric field distribution set E 0 There is an alarm threshold E that exceeds the set threshold. * When the value is [value], an alert action is executed.

2. The electric field detection and early warning method for a double-circuit line according to claim 1, characterized in that: Step S1 specifically includes the following steps: S11. Establish a coordinate system for calculating the electric field in the target area, with the direction perpendicular to the line running direction as the horizontal axis X and the height direction as the vertical axis Y. S12. Establish the electric field value E of the target region. 1* The electric field distribution function E between the coordinates (X, Y) of the electric field calculation coordinate system and the coordinates of the electric field calculation system. 1* = f(X, Y); S13. Set the initial sampling point (X1, Y1) and sampling step size γ, perform discrete sampling on the electric field distribution function, and then obtain the discrete electric field distribution sequence E of the target region. 1# , in, For sampling point (X) i Y i The theoretical electric field value at point X, [X] min X max [Y] represents the interval between the minimum and maximum coordinates of the target region on the horizontal axis X, and [Y] represents the range of coordinates. min Y max [] represents the interval between the minimum and maximum values ​​of the target region's coordinates on the vertical axis Y; S14. Construct the transformation matrix between the electric field calculation coordinate system and the spatial coordinate system, and then convert the sampling points (X... i Y i Transform the coordinates to the coordinate system of the spatial coordinates, and then obtain the electric field distribution model E. 1 .

3. The electric field detection and early warning method for a double-circuit line according to claim 2, characterized in that: In step S2, first obtain the known point P. j Actual spatial coordinates of the location Then obtain the set {P i |i∈N + In the actual space coordinates Find the element with the smallest Euclidean distance in space and use it as a known point P. j The spatial coordinates are (x j y j , z j ).

4. The electric field detection and early warning method for a double-circuit line according to claim 2, characterized in that: In step S4, the actual real-time spatial coordinates of the target person are first obtained. Then obtain the set {P i |i∈N + } in actual real-time spatial coordinates The element with the smallest Euclidean distance in space is used as the real-time spatial coordinate P of the target person. n .

5. The electric field detection and early warning method for a double-circuit line according to claim 4, characterized in that: In step S4, the real-time actual electric field E of the target personnel is simultaneously acquired. n Then, taking the location of the target personnel as a known point, the reconstructed electric field distribution model E is updated according to steps S2 and S3.

6. The electric field detection and early warning method for a double-circuit line according to claim 2, characterized in that: In step S5, the unit movement vector (Δx, Δy, Δz) of the target personnel is obtained for the set of regions P. 0 Any point P in l 0 coordinates The following relationship must be satisfied: Where Q is the set span value.

7. The electric field detection and early warning method for a double-circuit line according to claim 6, characterized in that: In step S5, the three velocity components V of the target person in the coordinate system of the spatial coordinates are obtained. x V y and V z ; and based on the velocity component V x V y and V z Obtain the unit movement vector (Δx, Δy, Δz).

8. A double-circuit line electric field detection and early warning system, used to implement the double-circuit line electric field detection and early warning method according to any one of claims 1-7, characterized in that, include: The first computational unit is used to generate the electric field distribution model E of the target region. 1 ; The second computational unit is used to generate the regional electric field model E. 2 ; The third calculation unit is used to establish and update the reconstructed electric field distribution model E; The acquisition unit is used to realize the real-time spatial coordinates P of the target personnel within the target area. n Acquisition; Processing unit, which is used to generate a set of defined regions P 0 and the corresponding electric field distribution set E 0 And used in the electric field distribution set E 0 There is an alarm threshold E that exceeds the set threshold. * When the value is , an early warning signal is generated; as well as The early warning unit is used to perform early warning actions when an early warning signal is received.

9. The electric field detection and early warning system for a double-circuit line according to claim 8, characterized in that: The data acquisition unit, processing unit, and early warning unit are integrated into a dual-circuit line electric field detection and early warning device.

10. The electric field detection and early warning system for a double-circuit line according to claim 8, characterized in that: The data acquisition unit is equipped with an electric field sensor, a coordinate sensor, and a velocity sensor.

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