Electric power secondary line phase measurement and verification method based on Beidou clock synchronization

Abstract

The invention provides an electric power secondary line phase measurement and verification method based on Beidou clock synchronization, and relates to the technical field of electric power detection, and the method comprises the steps: obtaining a track parameter; acquiring signal intensity and weather data; determining a signal intensity relation function according to the signal intensity, the track parameters and the weather data; obtaining predicted weather data, and determining predicted signal intensity; determining whether to take a signal enhancement measure; acquiring network communication state parameters and working environment data; determining whether the Beidou clock synchronization system needs to be maintained; acquiring a time synchronization signal through a Beidou clock synchronization system; determining a phase value of the power secondary line according to the time synchronization signal; and performing comparison verification according to the phase value and a preset standard phase value. According to the invention, the signal intensity of the Beidou satellite can be accurately predicted, the performance and stability of a Beidou clock synchronization system can be ensured, and the accuracy of phase measurement and verification of a power secondary line can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power detection, and in particular to a method for measuring and verifying the phase of an electric power secondary line based on Beidou clock synchronization. Background Art

[0002] In the related technology, CN116804687A discloses an intelligent phase checking method for power lines. The scheme obtains the basic parameters of the phase checking equipment, determines whether the performance of the phase checking equipment meets the standards, calibrates the phase checking equipment, and ensures the accuracy of the measurement results of the phase checking equipment; analyzes the phase difference between each line in the power grid at one end of each designated power line node and each line in the power grid at the other end, determines whether the power grid lines at both ends of each designated power line node are in the same or different phases, and realizes accurate, convenient and fast phase checking of the line phase sequence; obtains the power parameters of each detection point on the power line where each designated power line node is located, analyzes the number of designated power line nodes with abnormal phase connection, and obtains the time required for phase checking of each designated power line node, and evaluates the evaluation coefficient of the phase checking operation of the power grid in the target area, which is conducive to timely discovering the deficiencies in the phase checking operation and optimizing it, ensuring the safe and stable operation of the power grid.

[0003] CN112964942A discloses a remote wireless phase-check system and method for power lines based on 5G communication, including a reference end host and a test end host, the reference end host and the test end host are respectively connected to the tested line and the tested line through a signal collector, the reference end host and the tested end host are both connected to the Beidou ground-based augmentation system, and the reference end host is connected to the tested end host. The scheme uses the reference end host and the tested end host to monitor the voltage zero-crossing signal on the tested line and the tested line respectively, and then compares the time difference between the voltage zero-crossing signal acquisition time and the second pulse on different lines, and then calculates the phase detection result on the tested line, realizing remote wireless phase-check as a whole, and is simple to operate.

[0004] Based on the above-mentioned related technologies, the deficiencies in the phase-checking operation can be discovered in time and optimized to ensure the safe and stable operation of the power grid. However, the related technologies cannot guarantee that the relevant equipment of the power system can receive a unified time signal and improve the accuracy of phase detection. That is, it is impossible to adjust and maintain the clock synchronization system according to the weather changes in a short period of time and the communication conditions of the clock synchronization system and the working environment conditions to ensure that the relevant equipment of the power system can receive a unified time signal and improve the accuracy of phase detection.

[0005] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention provides a method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization, which can solve the technical problem that the related technology cannot adjust and maintain the clock synchronization system according to the weather changes in a short period of time and the communication conditions and working environment conditions of the clock synchronization system, ensure that the relevant equipment of the power system can receive a unified time signal, and improve the accuracy of phase detection.

[0007] According to a first aspect of the present invention, a method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization is provided, comprising:

[0008] Get the orbit parameters of Beidou satellite;

[0009] At multiple moments in the current time period, obtaining signal strength and weather data within the range of the power secondary line, wherein the weather data includes: precipitation data, wind data and temperature data;

[0010] Determining a signal strength relationship function according to the signal strength, the orbital parameter and the weather data;

[0011] Obtaining predicted weather data for the next time period within the range where the secondary power line is located, and determining predicted signal strength according to the predicted weather data, the orbital parameters and the signal strength relationship function;

[0012] Determining whether to take signal enhancement measures according to the predicted signal strength;

[0013] In the current time period, the network communication status parameters and working environment data of the Beidou clock synchronization system are obtained through sensors and intelligent monitoring equipment;

[0014] Determining whether maintenance of the Beidou clock synchronization system is required according to the network communication status parameters and the working environment data;

[0015] Obtain high-precision time synchronization signals through the Beidou clock synchronization system;

[0016] Determining a phase value of a secondary power line according to the high-precision time synchronization signal;

[0017] A comparison and verification is performed based on the phase value and a preset standard phase value.

[0018] According to a second aspect of the present invention, there is provided a power secondary line phase measurement and verification system based on Beidou clock synchronization, comprising:

[0019] Orbital parameter module, used to obtain the orbital parameters of Beidou satellite;

[0020] A data acquisition module, used to obtain the signal strength and weather data within the range of the power secondary line at multiple moments in the current time period, wherein the weather data includes: precipitation data, wind data and temperature data;

[0021] A relationship function module, used to determine a signal strength relationship function according to the signal strength, the orbital parameters and the weather data;

[0022] A predicted signal strength module, used to obtain predicted weather data for the next time period within the range where the power secondary line is located, and determine the predicted signal strength according to the predicted weather data, the track parameters and the signal strength relationship function;

[0023] A signal enhancement module, used to determine whether to take signal enhancement measures according to the predicted signal strength;

[0024] The system parameter module is used to obtain the network communication status parameters and working environment data of the Beidou clock synchronization system through sensors and intelligent monitoring devices in the current time period;

[0025] A system maintenance module, used to determine whether maintenance of the Beidou clock synchronization system is required according to the network communication status parameters and the working environment data;

[0026] The signal acquisition module is used to obtain high-precision time synchronization signals through the Beidou clock synchronization system;

[0027] A phase value module, used to determine the phase value of the power secondary line according to the high-precision time synchronization signal;

[0028] The comparison and verification module is used to perform comparison and verification based on the phase value and a preset standard phase value.

[0029] Technical effect: According to the present invention, the relationship between weather data, orbital parameters and signal strength can be accurately analyzed during short-term weather changes, and then the predicted signal strength during phase measurement and verification can be predicted based on the relationship, and whether it is necessary to take signal enhancement measures in advance can be determined based on the predicted signal strength to improve the accuracy of phase measurement. On the other hand, it can be determined whether the network communication and hardware of the Beidou clock synchronization system need to be debugged and maintained in advance based on the network communication status parameters and working environment data of the Beidou clock synchronization system to ensure the performance and stability of the Beidou clock synchronization system and improve the accuracy of phase measurement and verification of power secondary lines. When determining the signal strength relationship function, the signal strength relationship function can be determined based on the initial historical signal strength, vertical distance, horizontal distance, signal strength and weather data, accurately describing the relationship between signal strength and vertical distance, horizontal distance, temperature data, wind data and precipitation data. In the calculation process, the periodicity and overall trend of signal strength changes are fully considered, which improves the accuracy and objectivity of the signal strength relationship function. When determining the system operation abnormality coefficient, the system operation abnormality coefficient can be determined based on network delay, packet loss rate, working humidity data and working temperature data. During the calculation process, the operation abnormality status of the Beidou clock synchronization system can be evaluated based on the network status and working environment status of the Beidou clock synchronization system, thereby improving the comprehensiveness and accuracy of the system operation abnormality coefficient.

[0030] It should be understood that the above general description and the following detailed description are exemplary and explanatory only and do not limit the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without creative work.

[0032] Figure 1 A schematic diagram of a flow chart of a method for measuring and verifying a power secondary line phase based on Beidou clock synchronization according to an embodiment of the present invention is exemplarily shown;

[0033] Figure 2 A block diagram of a power secondary line phase measurement and verification system based on Beidou clock synchronization according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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.

[0035] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0036] Figure 1 A flow chart of a method for measuring and verifying a power secondary line phase based on Beidou clock synchronization according to an embodiment of the present invention is exemplarily shown, and the method includes:

[0037] Step S101, obtaining the orbital parameters of the Beidou satellite;

[0038] Step S102, obtaining signal strength and weather data within the range of the power secondary line at multiple moments in the current time period, wherein the weather data includes: precipitation data, wind data and temperature data;

[0039] Step S103, determining a signal strength relationship function according to the signal strength, the orbital parameters and the weather data;

[0040] Step S104, obtaining the predicted weather data of the area where the power secondary line is located in the next time period, and determining the predicted signal strength according to the predicted weather data, the orbit parameter and the signal strength relationship function;

[0041] Step S105, determining whether to take signal enhancement measures according to the predicted signal strength;

[0042] Step S106, in the current time period, obtaining network communication status parameters and working environment data of the Beidou clock synchronization system through sensors and intelligent monitoring equipment;

[0043] Step S107, determining whether maintenance of the Beidou clock synchronization system is required according to the network communication status parameters and the working environment data;

[0044] Step S108, obtaining a high-precision time synchronization signal through the Beidou clock synchronization system;

[0045] Step S109, determining a phase value of the power secondary line according to the high-precision time synchronization signal;

[0046] Step S110, performing a comparison and verification based on the phase value and a preset standard phase value.

[0047] According to the method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to an embodiment of the present invention, the relationship between weather data, orbital parameters and signal strength can be accurately analyzed during short-term weather changes, and then the predicted signal strength during phase measurement and verification can be predicted based on the relationship, and whether signal enhancement measures need to be taken in advance can be determined based on the predicted signal strength to improve the accuracy of the phase measurement. On the other hand, it can be determined whether the network communication and hardware of the Beidou clock synchronization system need to be debugged and maintained in advance based on the network communication status parameters and working environment data of the Beidou clock synchronization system, thereby ensuring the performance and stability of the Beidou clock synchronization system and improving the accuracy of the phase measurement and verification of the secondary power line.

[0048] According to an embodiment of the present invention, in step S101, orbital parameters of Beidou satellites are obtained.

[0049] For example, the orbital parameters of Beidou satellites are obtained through professional orbit calculation software.

[0050] According to an embodiment of the present invention, in step S102, at multiple moments in the current time period, the signal strength and weather data within the range of the power secondary line are obtained, wherein the weather data includes: precipitation data, wind data and temperature data.

[0051] For example, use professional equipment such as satellite signal receivers or signal strength testers to obtain the signal strength of the Beidou satellite signal, and obtain weather forecast information within the range of the power secondary line, and determine precipitation data, wind data and temperature data based on the weather forecast information.

[0052] According to an embodiment of the present invention, in step S103, a signal strength relationship function is determined according to the signal strength, the orbital parameters and the weather data.

[0053] According to one embodiment of the present invention, step S103 includes:

[0054] Determining the position information of the Beidou satellite according to the orbital parameters;

[0055] Obtaining receiving position information of a user receiver;

[0056] Determining a vertical distance and a horizontal distance according to the received position information and the position information;

[0057] Get the initial historical signal strength at the same time as the start time of the current time period among multiple historical dates;

[0058] A signal strength relationship function is determined according to the initial historical signal strength, the vertical distance, the horizontal distance, the signal strength and the weather data.

[0059] For example, based on the satellite's orbital parameters and the current time, the satellite's position information in three-dimensional space (expressed in the form of longitude, latitude and altitude) is calculated using satellite orbit prediction software; the receiving position information of the user's receiver is obtained through GPS positioning; the vertical distance and horizontal distance between the satellite and the user's receiver are determined based on the satellite's position information and the receiving position information of the user's receiver; the date within one month before the current date is determined as the historical date, for example, the start time of the current time period is 8 a.m., and the signal strength at 8 a.m. every day of the previous month is obtained as the initial historical signal strength; the signal strength relationship function is solved based on the initial historical signal strength, vertical distance, horizontal distance, signal strength and weather data.

[0060] According to an embodiment of the present invention, determining a signal strength relationship function according to the initial historical signal strength, the vertical distance, the horizontal distance, the signal strength and the weather data includes: determining an undetermined coefficient equation of the signal strength relationship function according to formula (1), ,

[0061] in, is the signal strength at the i-th moment of the current time period, is the initial historical signal strength on the jth historical date, is the vertical distance at the i-th moment of the current time period, is the horizontal distance at the i-th moment of the current time period, is the temperature data at the i-th moment of the current time period, is the preset temperature data threshold, is the wind data at the i-th moment in the current time period, is the precipitation data at the i-th moment of the current time period, , , , , , , , , and is the undetermined coefficient of the undetermined coefficient equation, m is the number of historical dates, j≤m, j and m are both positive integers;

[0062] Solving the undetermined coefficient according to the historical signal strength, the vertical distance, the horizontal distance, the signal strength and the weather data to obtain a solution value of the undetermined coefficient;

[0063] The signal strength relationship function is obtained according to the solved value of the undetermined coefficient and the undetermined coefficient equation.

[0064] According to one embodiment of the present invention, is the average value of the initial historical signal strength of m historical dates, indicating the baseline signal strength at the beginning of the current time period. is the ratio of the vertical distance to the horizontal distance between the user receiver and the Beidou satellite. represents the elevation angle between the user receiver and the BeiDou satellite. Indicates that the light intensity changes with the elevation angle. For example, when the satellite is at a high elevation angle, the signal propagation path is relatively short and is less affected by atmospheric refraction and scattering, so the satellite signal strength is higher. Indicates the overall trend of signal strength changing with elevation angle in the current time period. The function to be fitted is a sinusoidal function, which indicates a fitting term with a certain periodicity. For example, the weather condition at the beginning of the time period is heavy rain, and at the end of the time period, the weather condition becomes sunny. In a change cycle, temperature data, wind data, and precipitation data may have a temporary impact on signal strength. is the relative difference between the temperature data at the i-th moment of the current time period and the preset temperature threshold. In general, the relative difference between the temperature data and the preset temperature threshold, the wind data and the precipitation data have a negative correlation with the signal strength. For example, when the relative difference between the temperature data and the preset temperature threshold is large, the temperature data is large or low, which may cause the signal reception effect of the antenna to decrease. The smaller the received signal strength, the stronger the wind, the smaller the received signal strength. When the wind data is large, the strong wind may cause physical damage to the antenna and affect the stability of the antenna. When the precipitation is large, the water directly attached to the surface of the receiver antenna will have a greater impact on the receiver receiving signal. The smaller the received signal strength, the items related to the temperature data, the wind data and the precipitation data are used as the denominator. With the periodic changes of the temperature data, the wind data and the precipitation data, the signal strength may be periodically affected. Therefore, the temperature data, the wind data and the precipitation data at the i-th moment of the current time period can be periodically fitted with the undetermined coefficients to express the part of the signal strength change in the current time period that conforms to the short-term periodic change. According to the overall trend of the signal strength change with the elevation angle and the part of the signal strength change that conforms to the short-term periodic change, the undetermined coefficient equation is obtained.

[0065] According to one embodiment of the present invention, fitting can be performed based on multiple parameters involved in the above undetermined coefficient equation, that is, fitting can be performed based on the initial historical signal strength, vertical distance, horizontal distance, signal strength and weather data to solve the above multiple undetermined coefficients. There are 10 undetermined coefficients, namely, , , , , , , , , and , according to the initial historical signal strength, and the vertical distance, horizontal distance, signal strength and weather data of at least 10 moments in the current time period, the above 10 undetermined coefficients are solved to obtain the solution values ​​of the above 10 undetermined coefficients, and the solution values ​​of the above 10 undetermined coefficients are substituted into the signal strength relationship function to obtain the signal strength relationship function.

[0066] In this way, the signal strength relationship function can be determined based on the initial historical signal strength, vertical distance, horizontal distance, signal strength and weather data, which accurately describes the relationship between signal strength and vertical distance, horizontal distance, temperature data, wind data and precipitation data. The periodicity and overall trend of signal strength changes are fully considered in the calculation process, which improves the accuracy and objectivity of the signal strength relationship function.

[0067] According to an embodiment of the present invention, in step S104, the predicted weather data for the range where the secondary power line is located in the next time period is obtained, and the predicted signal strength is determined based on the predicted weather data, the orbit parameters and the signal strength relationship function.

[0068] For example, the horizontal distance and vertical distance of the next time period are predicted based on the orbital parameters, and the initial historical signal strength of the next time period is obtained. For example, the starting time of the next time period is 12 noon, and the signal strength at 12 noon every day of the previous month is obtained as the initial historical signal strength of the next time period. The initial historical signal strength of the next time period, the predicted temperature data, predicted wind data, predicted precipitation data, and horizontal distance and vertical distance of the next period are input into the signal strength relationship function to determine the predicted signal strength of the next time period.

[0069] According to an embodiment of the present invention, in step S105, it is determined whether to take signal enhancement measures according to the predicted signal strength.

[0070] According to one embodiment of the present invention, step S105 includes:

[0071] Determining whether to take signal enhancement measures according to the predicted signal strength includes:

[0072] When the predicted signal strength is lower than a set signal strength threshold, determining to improve the working environment of the receiver;

[0073] When the predicted signal strength is lower than the set signal strength threshold, it is determined to switch to other Beidou satellites.

[0074] For example, in the process of measuring and verifying the phase of the secondary power line based on Beidou clock synchronization, the local clock needs to be continuously calibrated. Therefore, the Beidou clock synchronization system will continuously receive and process time signals to ensure the accuracy and stability of the time. When the signal strength is too low, it may cause the receiver to produce phase offset when processing the signal, thereby affecting the accuracy of the phase measurement; the current time period is set as the debugging preparation stage for the measurement and verification of the secondary power line phase. In the next time period, the phase of the secondary power line is measured and verified. Therefore, it is necessary to ensure that the signal strength at each moment in the next time period meets the measurement requirements to ensure the accuracy of the phase measurement. When the minimum value of the predicted signal strength at multiple moments in the next time period is lower than the set signal strength threshold, it is determined to improve the working environment of the receiver (such as reducing obstructions, increasing the antenna height, etc.), and switch to other Beidou satellites with better signal quality in advance.

[0075] According to an embodiment of the present invention, in step S106, in the current time period, the network communication status parameters and working environment data of the Beidou clock synchronization system are obtained through sensors and intelligent monitoring equipment.

[0076] For example, through professional network monitoring tools, the network delay and packet loss rate of the Beidou clock synchronization system can be obtained; through sensors installed on the hardware of the Beidou clock synchronization system, the working temperature and working humidity of the hardware of the Beidou clock synchronization system can be collected.

[0077] According to an embodiment of the present invention, in step S107, it is determined whether maintenance of the Beidou clock synchronization system is required based on the network communication status parameters and the working environment data.

[0078] According to one embodiment of the present invention, step S107 includes:

[0079] Determining network delay and packet loss rate according to the network communication status parameters;

[0080] Determine working temperature data and working humidity data according to the working environment data;

[0081] Determining a system operation abnormality coefficient according to the network delay, the packet loss rate, the working humidity data, and the working temperature data;

[0082] Based on the system operation abnormality coefficient, determine whether maintenance of the Beidou clock synchronization system is required.

[0083] For example, based on network delay, packet loss rate, working humidity data and working temperature data, the operating status of the Beidou clock synchronization system is evaluated, and the system operation abnormality coefficient is determined. Based on the system operation abnormality coefficient, it is determined whether the Beidou clock synchronization system has any operating abnormalities, and the Beidou clock synchronization system is debugged and maintained.

[0084] According to an embodiment of the present invention, determining the system operation abnormality coefficient according to the network delay, the packet loss rate, the working humidity data and the working temperature data includes: determining the system operation abnormality coefficient at the i-th moment of the time period according to formula (2): , ,

[0085] Among them, if is a conditional function, and is the preset weight, is the network delay at the i-th moment of the current time period, is the packet loss rate at the i-th moment in the current time period, is the preset threshold, is the operating temperature at the i-th moment of the current time period, is the preset operating temperature threshold, is the preset ratio, is the working humidity at the i-th moment of the current time period, To preset the working humidity threshold, The logical operator is "or".

[0086] According to one embodiment of the present invention, The weighted sum of the network delay and packet loss rate at the i-th moment of the current time period is used to represent the network status of the Beidou clock synchronization system at the i-th moment of the current time period. In formula (2), the following two situations can be expressed in the form of conditional functions: When the condition is met, it means that the network condition of the Beidou clock synchronization system is poor. When the network condition is poor, it may cause signal transmission delay, packet loss or signal quality degradation, thus affecting the synchronization accuracy. The value of the condition function is 1. When it is not met When the condition is met, it means that the network condition of the Beidou clock synchronization system is good, and the value of the condition function is 0.

[0087] According to one embodiment of the present invention, Indicates the relative difference between the operating temperature at the i-th moment of the current time period and the preset operating temperature threshold. Indicates that the operating temperature at the i-th moment in the current time period is too high or too low, and an abnormal operating temperature occurs. Indicates that the working humidity at the i-th moment of the current time period is too high, and the working humidity is abnormal. In formula (2), the following two situations can be expressed in the form of conditional functions: When the condition is met, it means that the working temperature is abnormal or the working humidity is abnormal. When the working temperature is abnormal, the high-precision clock module may drift, thereby affecting the time synchronization accuracy. When the working humidity is abnormal, the internal components of the system may corrode, thereby affecting the time synchronization accuracy. The value of the condition function is 2. When it is not met When the condition is met, it means that there is no abnormal working temperature and abnormal working humidity, and the value of the condition function is 0.

[0088] According to one embodiment of the present invention, To determine the system operation abnormality coefficient according to the network status and working environment status of the Beidou clock synchronization system When the system operation abnormality coefficient is 1, it means that the network status at the i-th moment of the current time period is abnormal. When the system operation abnormality coefficient is 2, it means that the working environment status at the i-th moment of the current time period is abnormal. When the system operation abnormality coefficient is 3, it means that the network status and working environment status at the i-th moment of the current time period are abnormal.

[0089] In this way, the system operation abnormality coefficient can be determined based on network delay, packet loss rate, working humidity data and working temperature data. During the calculation process, the operation abnormality of the Beidou clock synchronization system can be evaluated based on the network conditions and working environment conditions of the Beidou clock synchronization system, thereby improving the comprehensiveness and accuracy of the system operation abnormality coefficient.

[0090] According to an embodiment of the present invention, determining whether maintenance of the Beidou clock synchronization system is required according to the system operation abnormality coefficient includes:

[0091] Determine a system operation abnormality coefficient set according to system operation abnormality coefficients at multiple moments in the current time period;

[0092] If all elements in the system operation abnormality coefficient set are 0, it is determined that there is no need to maintain the Beidou clock synchronization system;

[0093] If there is an element of 1 in the system operation abnormality coefficient set, determining to maintain the network communication function of the Beidou clock synchronization system;

[0094] If there is an element of 2 in the system operation abnormality coefficient set, it is determined to maintain the hardware working environment of the Beidou clock synchronization system;

[0095] If there is an element of 3 in the system operation abnormality coefficient set, it is determined to maintain the network communication function and the hardware working environment of the Beidou clock synchronization system.

[0096] For example, if all the elements in the system operation abnormality coefficient set are 0, it indicates that the operation status of the Beidou clock synchronization system is normal in the current time period, and there is no need to maintain the Beidou clock synchronization system; if there is an element of 1 in the system operation abnormality coefficient set, it indicates that the network condition of the Beidou clock synchronization system is abnormal in the current time period, and it is determined to maintain the network communication function of the Beidou clock synchronization system. Since the network condition is likely to fluctuate, the network communication status is continuously monitored during the phase measurement and verification process of the next time period. If there is an element of 2 in the system operation abnormality coefficient set, it indicates that the working environment of the Beidou clock synchronization system is abnormal in the current time period, and it is determined to adjust the hardware working environment of the Beidou clock synchronization system; if there is an element of 3 in the system operation abnormality coefficient set, it indicates that the network condition and working environment of the Beidou clock synchronization system are abnormal in the current time period, and it is determined to maintain the network communication function and hardware working environment of the Beidou clock synchronization system, and continuously monitor the network communication status.

[0097] According to an embodiment of the present invention, in step S108, a high-precision time synchronization signal is acquired through the Beidou clock synchronization system.

[0098] For example, high-precision time synchronization signals (such as 1PPS signals) are obtained through the Beidou clock synchronization system.

[0099] According to an embodiment of the present invention, in step S109, the phase value of the power secondary line is determined according to the high-precision time synchronization signal.

[0100] According to one embodiment of the present invention, step S109 includes:

[0101] Distributing the high-precision time synchronization signal to the measurement point of the power secondary line;

[0102] At a measurement point of the power secondary line, a current signal and a voltage signal are collected, wherein the current signal and the voltage signal are synchronized with the high-precision time synchronization signal;

[0103] determining a phase difference according to the current signal and the voltage signal;

[0104] Determining a synchronization signal frequency of the high-precision time synchronization signal;

[0105] Determining a phase angle according to the phase difference and the synchronization signal frequency;

[0106] According to the phase difference, a phase value of the power secondary line is determined.

[0107] For example, using transmission media such as optical fiber and Ethernet, the received high-precision time synchronization signal is distributed to various measuring points of the power secondary line; at the measuring points of the power secondary line, current transformers and voltage transformers are used to collect current and voltage signals to ensure that the collected signals are synchronized with the high-precision time synchronization signal, and digital signal processing technology or analog filters are used to pre-process the signals; using the high-precision time synchronization signal as a reference, the phase difference between the current and voltage signals is measured; based on the measured phase difference and the frequency of the time synchronization signal, the phase angle between the current and voltage signals is calculated; based on the difference between the phase angles at both ends of the power secondary line, the phase difference is determined, and based on the phase difference and the reference phase, the phase value of the power secondary line is determined.

[0108] According to an embodiment of the present invention, in step S110, a comparison and verification is performed based on the phase value and a preset standard phase value.

[0109] For example, the measured phase value is compared with the preset standard phase value to check whether there is any deviation. If there is a deviation, error analysis is required to find out the possible causes (such as equipment error, transmission delay). Based on the results of the error analysis, necessary adjustments and optimizations are made to the measurement system to improve measurement accuracy.

[0110] According to the embodiment of the present invention, the method for measuring and verifying the phase of the secondary power line based on Beidou clock synchronization can accurately analyze the relationship between weather data, orbit parameters and signal strength in the short-term weather change process, and then predict the predicted signal strength when performing phase measurement and verification based on the relationship, and determine whether it is necessary to take signal enhancement measures in advance according to the predicted signal strength to improve the accuracy of phase measurement. On the other hand, it can be determined whether it is necessary to debug and maintain the network communication and hardware of the Beidou clock synchronization system in advance according to the network communication status parameters and working environment data of the Beidou clock synchronization system, so as to ensure the performance and stability of the Beidou clock synchronization system and improve the accuracy of the phase measurement and verification of the secondary power line. When determining the signal strength relationship function, the signal strength relationship function can be determined according to the initial historical signal strength, vertical distance, horizontal distance, signal strength and weather data, accurately describing the relationship between signal strength and vertical distance, horizontal distance, temperature data, wind data and precipitation data, and fully considering the periodicity and overall trend of signal strength changes in the calculation process, thereby improving the accuracy and objectivity of the signal strength relationship function. When determining the system operation abnormality coefficient, the system operation abnormality coefficient can be determined based on network delay, packet loss rate, working humidity data and working temperature data. During the calculation process, the operation abnormality status of the Beidou clock synchronization system can be evaluated based on the network status and working environment status of the Beidou clock synchronization system, thereby improving the comprehensiveness and accuracy of the system operation abnormality coefficient.

[0111] Figure 2 A block diagram of a power secondary line phase measurement and verification system based on Beidou clock synchronization according to an embodiment of the present invention is exemplarily shown, and the system includes:

[0112] Orbital parameter module, used to obtain the orbital parameters of Beidou satellite;

[0113] A data acquisition module, used to obtain the signal strength and weather data within the range of the power secondary line at multiple moments in the current time period, wherein the weather data includes: precipitation data, wind data and temperature data;

[0114] A relationship function module, used to determine a signal strength relationship function according to the signal strength, the orbital parameters and the weather data;

[0115] A predicted signal strength module, used to obtain predicted weather data for the next time period within the range where the power secondary line is located, and determine the predicted signal strength according to the predicted weather data, the track parameters and the signal strength relationship function;

[0116] A signal enhancement module, used to determine whether to take signal enhancement measures according to the predicted signal strength;

[0117] The system parameter module is used to obtain the network communication status parameters and working environment data of the Beidou clock synchronization system through sensors and intelligent monitoring devices in the current time period;

[0118] A system maintenance module, used to determine whether maintenance of the Beidou clock synchronization system is required according to the network communication status parameters and the working environment data;

[0119] The signal acquisition module is used to obtain high-precision time synchronization signals through the Beidou clock synchronization system;

[0120] A phase value module, used to determine the phase value of the power secondary line according to the high-precision time synchronization signal;

[0121] The comparison and verification module is used to perform comparison and verification based on the phase value and a preset standard phase value.

[0122] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization, characterized in that: include: Get the orbit parameters of Beidou satellite; At multiple moments in the current time period, obtaining signal strength and weather data within the range of the power secondary line, wherein the weather data includes: precipitation data, wind data and temperature data; Determining a signal strength relationship function according to the signal strength, the orbital parameter and the weather data; Obtaining predicted weather data for the next time period within the range where the secondary power line is located, and determining predicted signal strength according to the predicted weather data, the orbital parameters and the signal strength relationship function; Determining whether to take signal enhancement measures according to the predicted signal strength; In the current time period, the network communication status parameters and working environment data of the Beidou clock synchronization system are obtained through sensors and intelligent monitoring equipment; Determining whether maintenance of the Beidou clock synchronization system is required according to the network communication status parameters and the working environment data; Obtain high-precision time synchronization signals through the Beidou clock synchronization system; Determining a phase value of a secondary power line according to the high-precision time synchronization signal; A comparison and verification is performed based on the phase value and a preset standard phase value.

2. The method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to claim 1 is characterized in that: Determining a signal strength relationship function according to the signal strength, the orbital parameter and the weather data, comprising: Determining the position information of the Beidou satellite according to the orbital parameters; Obtaining receiving position information of a user receiver; Determining a vertical distance and a horizontal distance according to the received position information and the position information; Get the initial historical signal strength at the same time as the start time of the current time period among multiple historical dates; A signal strength relationship function is determined according to the initial historical signal strength, the vertical distance, the horizontal distance, the signal strength and the weather data.

3. The method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to claim 2 is characterized in that: Determining a signal strength relationship function according to the initial historical signal strength, the vertical distance, the horizontal distance, the signal strength, and the weather data includes: According to the formula ， Determine the unknown coefficient equation of the signal strength relationship function, where, is the signal strength at the i-th moment of the current time period, is the initial historical signal strength on the jth historical date, is the vertical distance at the i-th moment of the current time period, is the horizontal distance at the i-th moment of the current time period, is the temperature data at the i-th moment of the current time period, is the preset temperature data threshold, is the wind data at the i-th moment in the current time period, is the precipitation data at the i-th moment of the current time period, , , , , , , , , and is the undetermined coefficient of the undetermined coefficient equation, m is the number of historical dates, j≤m, j and m are both positive integers; Solving the undetermined coefficient according to the historical signal strength, the vertical distance, the horizontal distance, the signal strength and the weather data to obtain a solution value of the undetermined coefficient; The signal strength relationship function is obtained according to the solved value of the undetermined coefficient and the undetermined coefficient equation.

4. The method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to claim 1, characterized in that: Determining whether to take signal enhancement measures according to the predicted signal strength includes: When the predicted signal strength is lower than a set signal strength threshold, determining to improve the working environment of the receiver; When the predicted signal strength is lower than the set signal strength threshold, it is determined to switch to other Beidou satellites.

5. The method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to claim 1 is characterized in that: Determining whether maintenance of the Beidou clock synchronization system is required according to the network communication status parameter and the working environment data includes: Determining network delay and packet loss rate according to the network communication status parameters; Determine working temperature data and working humidity data according to the working environment data; Determining a system operation abnormality coefficient according to the network delay, the packet loss rate, the working humidity data, and the working temperature data; Based on the system operation abnormality coefficient, determine whether maintenance of the Beidou clock synchronization system is required.

6. The method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to claim 5 is characterized in that: Determining a system operation abnormality coefficient according to the network delay, the packet loss rate, the working humidity data, and the working temperature data includes: According to the formula ， Determine the system operation abnormality coefficient at the i-th moment of the time period , where if is a conditional function, and is the preset weight, is the network delay at the i-th moment of the current time period, is the packet loss rate at the i-th moment in the current time period, is the preset threshold, is the operating temperature at the i-th moment of the current time period, is the preset operating temperature threshold, is the preset ratio, is the working humidity at the i-th moment of the current time period, To preset the working humidity threshold, The logical operator is "or".

7. The method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to claim 5 is characterized in that: According to the system operation abnormality coefficient, determine whether the Beidou clock synchronization system needs to be maintained, including: Determine a system operation abnormality coefficient set according to system operation abnormality coefficients at multiple moments in the current time period; If all elements in the system operation abnormality coefficient set are 0, it is determined that there is no need to maintain the Beidou clock synchronization system; If there is an element of 1 in the system operation abnormality coefficient set, determining to maintain the network communication function of the Beidou clock synchronization system; If there is an element of 2 in the system operation abnormality coefficient set, it is determined to maintain the hardware working environment of the Beidou clock synchronization system; If there is an element of 3 in the system operation abnormality coefficient set, it is determined to maintain the network communication function and the hardware working environment of the Beidou clock synchronization system.

8. The method for measuring and verifying the phase of a secondary power line based on Beidou clock synchronization according to claim 1, characterized in that: Determining the phase value of the power secondary line according to the high-precision time synchronization signal includes: Distributing the high-precision time synchronization signal to the measurement point of the power secondary line; At a measurement point of the power secondary line, a current signal and a voltage signal are collected, wherein the current signal and the voltage signal are synchronized with the high-precision time synchronization signal; determining a phase difference according to the current signal and the voltage signal; Determining a synchronization signal frequency of the high-precision time synchronization signal; Determining a phase angle according to the phase difference and the synchronization signal frequency; According to the phase difference, a phase value of the power secondary line is determined.

9. A power secondary line phase measurement and verification system based on Beidou clock synchronization, characterized in that: include: Orbital parameter module, used to obtain the orbital parameters of Beidou satellite; A data acquisition module, used to obtain the signal strength and weather data within the range of the power secondary line at multiple moments in the current time period, wherein the weather data includes: precipitation data, wind data and temperature data; A relationship function module, used to determine a signal strength relationship function according to the signal strength, the orbital parameters and the weather data; A predicted signal strength module, used to obtain predicted weather data for the next time period within the range where the power secondary line is located, and determine the predicted signal strength according to the predicted weather data, the track parameters and the signal strength relationship function; A signal enhancement module, used to determine whether to take signal enhancement measures according to the predicted signal strength; The system parameter module is used to obtain the network communication status parameters and working environment data of the Beidou clock synchronization system through sensors and intelligent monitoring devices in the current time period; A system maintenance module, used to determine whether maintenance of the Beidou clock synchronization system is required according to the network communication status parameters and the working environment data; The signal acquisition module is used to obtain high-precision time synchronization signals through the Beidou clock synchronization system; A phase value module, used to determine the phase value of the power secondary line according to the high-precision time synchronization signal; The comparison and verification module is used to perform comparison and verification based on the phase value and a preset standard phase value.

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