Power secondary circuit phase measurement and verification method based on compass clock synchronization

Abstract

The application provides a power secondary circuit phase measurement and verification method based on a Beidou clock synchronization, and relates to the technical field of power detection.The method comprises the following steps: acquiring track parameters;acquiring signal strength and weather data; determining a signal strength relationship function according to the signal strength, the track parameters and the weather data; acquiring predicted weather data to determine predicted signal strength; determining whether to take signal enhancement measures; 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 the Beidou clock synchronization system; determining a phase value of the power secondary circuit according to the time synchronization signal; and comparing and verifying the phase value and a preset standard phase value.According to the application, the signal strength of the Beidou satellite can be accurately predicted, the performance and stability of the Beidou clock synchronization system can be ensured, and the accuracy of the power secondary circuit phase measurement and verification can be improved.

Description

Technical Field

[0001] This invention relates to the field of power detection technology, and in particular to a method for measuring and verifying the phase of power secondary lines based on BeiDou clock synchronization. Background Technology

[0002] In related technologies, CN116804687A discloses an intelligent phase verification method for power lines. This method obtains the basic parameters of the phase verification equipment, determines whether the performance of the equipment meets the standards, calibrates the equipment, and ensures the accuracy of the measurement results. It 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 rapid phase verification of the line phase sequence. It 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 connections, obtains the time required for phase verification of each designated power line node, and evaluates the evaluation coefficient of the phase verification operation of the power grid in the target area. This is conducive to timely detection and optimization of the phase verification operation, and ensures the safe and stable operation of the power grid.

[0003] CN112964942A discloses a remote wireless phase comparison system and method for power lines based on 5G communication. The system includes a reference host and a test host, which are connected to the tested line and the line under test, respectively, via signal acquisition devices. Both the reference host and the test host are connected to a BeiDou ground-based augmentation system, with the reference host connected to the test host. This scheme utilizes the reference host and the test host to monitor the zero-crossing voltage signals on the tested line and the line under test, respectively. Then, it compares the time difference between the acquisition time of the zero-crossing voltage signals on different lines and the second pulse, thereby calculating the phase detection result on the line under test. The system achieves remote wireless phase comparison and is simple to operate.

[0004] Based on the above-mentioned technologies, deficiencies in phase detection operations can be identified and optimized in a timely manner to ensure the safe and stable operation of the power grid. However, these technologies cannot guarantee that all equipment in the power system can receive a unified time signal to improve the accuracy of phase detection. In other words, they cannot adjust and maintain the clock synchronization system according to short-term weather changes, communication status of the clock synchronization system, and working environment conditions to ensure that all equipment in the power system can receive a unified time signal and improve the accuracy of phase detection.

[0005] The information disclosed in the background section of this application is intended only to enhance the understanding of the general background of this application and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] This invention provides a method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization. It can solve the technical problem that related technologies cannot adjust and maintain the clock synchronization system according to short-term weather changes, communication status of the clock synchronization system, and working environment conditions, ensuring that all relevant equipment in the power system can receive a unified time signal and improving the accuracy of phase detection.

[0007] According to a first aspect of the present invention, a method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization is provided, comprising:

[0008] Obtain the orbital parameters of BeiDou satellites;

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

[0010] Based on the signal strength, the orbital parameters, and the weather data, determine the signal strength relationship function;

[0011] Obtain the predicted weather data for the area where the secondary power line is located in the next time period, and determine the predicted signal strength based on the predicted weather data, the track parameters, and the signal strength relationship function;

[0012] Based on the predicted signal strength, determine whether to take signal enhancement measures;

[0013] During the current time period, network communication status parameters and operating environment data of the BeiDou clock synchronization system are obtained through sensors and intelligent monitoring equipment.

[0014] Based on the network communication status parameters and the working environment data, determine whether maintenance of the BeiDou clock synchronization system is required;

[0015] High-precision time synchronization signals are obtained through the BeiDou clock synchronization system;

[0016] Based on the high-precision time synchronization signal, the phase value of the power secondary circuit is determined;

[0017] The phase value is compared and verified with the preset standard phase value.

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

[0019] The orbit parameter module is used to obtain the orbit parameters of BeiDou satellites;

[0020] The data acquisition module is used to acquire signal strength and weather data within the range of the secondary power line at multiple moments in the current time period. The weather data includes precipitation data, wind data, and temperature data.

[0021] The relational function module is used to determine the signal strength relational function based on the signal strength, the orbital parameters, and the weather data;

[0022] The predicted signal strength module is used to acquire the predicted weather data of the area where the power secondary line is located in the next time period, and determine the predicted signal strength based on the predicted weather data, the track parameters and the signal strength relationship function.

[0023] A signal enhancement module is used to determine whether to take signal enhancement measures based on the predicted signal strength.

[0024] The system parameter module is used to acquire network communication status parameters and operating environment data of the BeiDou clock synchronization system through sensors and intelligent monitoring devices during the current time period.

[0025] The system maintenance module is used to determine whether the BeiDou clock synchronization system needs maintenance based on the network communication status parameters and the working environment data.

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

[0027] The phase value module is used to determine the phase value of the power secondary circuit based on 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 the preset standard phase value.

[0029] Technical Effects: According to this invention, the relationship between weather data, orbital parameters, and signal strength can be accurately analyzed during short-term weather changes. Based on this relationship, the predicted signal strength for phase measurement and verification can be predicted, and the need for signal enhancement measures can be determined based on the predicted signal strength to improve the accuracy of phase measurement. Furthermore, the need for advance debugging and maintenance of the BeiDou clock synchronization system's network communication status parameters and operating environment data can be determined based on the network communication status parameters and operating environment data, ensuring the performance and stability of the BeiDou clock synchronization system and improving the accuracy of phase measurement and verification of power secondary lines. When determining the signal strength relationship function, the function can be determined based on initial historical signal strength, vertical distance, horizontal distance, signal strength, and weather data. This accurately describes the relationship between signal strength and vertical distance, horizontal distance, temperature data, wind data, and precipitation data. The calculation process fully considers the periodicity and overall trend of signal strength changes, improving the accuracy and objectivity of the signal strength relationship function. When determining the system operation anomaly coefficient, the coefficient can be determined based on network latency, packet loss rate, operating humidity data, and operating temperature data. During the calculation process, the operation anomaly status of the BeiDou clock synchronization system can be evaluated based on both the network status and the operating environment status, thereby improving the comprehensiveness and accuracy of the system operation anomaly coefficient.

[0030] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Other features and aspects of the invention will become clearer from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort.

[0032] Figure 1 An exemplary flowchart of a power secondary line phase measurement and verification method based on BeiDou clock synchronization according to an embodiment of the present invention is 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 shown as an example. Detailed Implementation

[0034] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

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

[0036] Figure 1 An exemplary flowchart illustrates a method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization according to an embodiment of the present invention. The method includes:

[0037] Step S101: Obtain the orbital parameters of the BeiDou satellite;

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

[0039] Step S103: Determine the signal strength relationship function based on the signal strength, the orbital parameters, and the weather data;

[0040] Step S104: Obtain the predicted weather data for the area where the secondary power line is located in the next time period, and determine the predicted signal strength based on the predicted weather data, the track parameters, and the signal strength relationship function;

[0041] Step S105: Determine whether to take signal enhancement measures based on the predicted signal strength;

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

[0043] Step S107: Based on the network communication status parameters and the working environment data, determine whether maintenance of the BeiDou clock synchronization system is required.

[0044] Step S108: Obtain a high-precision time synchronization signal through the BeiDou clock synchronization system;

[0045] Step S109: Determine the phase value of the power secondary circuit based on the high-precision time synchronization signal;

[0046] Step S110: Compare and verify the phase value with the preset standard phase value.

[0047] The power secondary line phase measurement and verification method based on BeiDou clock synchronization according to embodiments of the present invention can accurately analyze the relationship between weather data, track parameters and signal strength during short-term weather changes. Based on this relationship, it can predict the signal strength during phase measurement and verification, and determine whether signal enhancement measures need to be taken in advance to improve the accuracy of phase measurement based on the predicted signal strength. On the other hand, it can determine 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, ensuring the performance and stability of the BeiDou clock synchronization system and improving the accuracy of power secondary line phase measurement and verification.

[0048] According to one embodiment of the present invention, in step S101, the orbital parameters of the BeiDou satellite are obtained.

[0049] For example, specialized orbit calculation software can be used to obtain the orbital parameters of BeiDou satellites.

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

[0051] For example, specialized equipment such as satellite signal receivers or signal strength testers can be used to obtain the signal strength of BeiDou satellite signals and obtain weather forecast information within the range of secondary power lines. Based on the weather forecast information, precipitation data, wind data, and temperature data can be determined.

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

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

[0054] Based on the orbital parameters, determine the position information of the BeiDou satellite;

[0055] Obtain the receiving location information of the user's receiver;

[0056] Based on the received location information and the location information, determine the vertical distance and the horizontal distance;

[0057] Obtain the initial historical signal strength for the time that coincides with the start time of the current time period from among multiple historical dates;

[0058] A signal strength relationship function is determined based on 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, satellite orbit prediction software is used to calculate the satellite's position information in three-dimensional space (represented in the form of latitude, longitude, and altitude); GPS positioning is used to obtain the receiving position information of the user receiver; based on the satellite's position information and the user receiver's receiving position information, the vertical and horizontal distances between the satellite and the user receiver are determined; dates within one month prior to the current date are determined as historical dates, for example, if the current time period begins at 8:00 AM, the signal strength at 8:00 AM each day of the previous month is obtained as the initial historical signal strength; based on the initial historical signal strength, vertical distance, horizontal distance, signal strength, and weather data, the signal strength relationship function is solved.

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

[0061] ,

[0062] in, The signal strength at the i-th moment of the current time period. Let J be the initial historical signal strength for the j-th historical date. This represents the vertical distance at the i-th moment of the current time period. The horizontal distance at the i-th moment of the current time period. This is the temperature data at the i-th moment of the current time period. To preset the temperature data threshold, This represents the wind speed data at the i-th moment of the current time period. This represents the precipitation data at the i-th moment of the current time period. , , , , , , , , and Let be the undetermined coefficients of the equation, m be the number of historical dates, j ≤ m, and j and m are both positive integers;

[0063] Based on the historical signal strength, the vertical distance, the horizontal distance, the signal strength, and the weather data, the undetermined coefficients are solved to obtain the solved values ​​of the undetermined coefficients;

[0064] The signal strength relationship function is obtained based on the solved values ​​of the undetermined coefficients and the equations for the undetermined coefficients.

[0065] According to one embodiment of the present invention, Let be the average of the initial historical signal strength over m historical dates, representing the reference signal strength at the start of the current time period. This is the ratio of the vertical distance to the horizontal distance between the user receiver and the BeiDou satellite. This indicates the elevation angle between the user receiver and the BeiDou satellite. This indicates how light intensity changes with elevation angle. For example, when a satellite is at a high elevation angle, the signal propagation path is relatively short, and it is less affected by atmospheric refraction and scattering, resulting in a higher satellite signal strength. This indicates the overall trend of signal strength variation with elevation angle within the current time period. The function to be fitted is in the form of a sine function, representing 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. Within a period of change, temperature data, wind data, and precipitation data can have a temporary impact on the signal strength. The relative difference between the temperature data at the i-th moment of the current time period and the preset temperature threshold is given. In general, the relative difference between temperature data and the preset temperature threshold, as well as wind and precipitation data, have a negative correlation with signal strength. For example, when the relative difference between temperature data and the preset temperature threshold is large, higher or lower temperature data may lead to a decrease in antenna signal reception, resulting in a weaker received signal. When wind data is high, strong winds may cause physical damage to the antenna and affect its stability, resulting in a weaker received signal. When precipitation is high, water directly adhering to the receiver antenna surface will have a significant impact on the received signal, resulting in a weaker received signal. Therefore, using temperature-related terms, wind data, and precipitation data as denominators, the periodic changes in temperature, wind, and precipitation data can have a periodic impact on signal strength. Thus, the temperature, wind, and 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 that conforms to a short-term periodic change in the current time period. Based on the overall trend of signal strength change with elevation angle and the part of the signal strength change that conforms to a short-term periodic change, the equation for the undetermined coefficients is obtained.

[0066] According to one embodiment of the present invention, the equation involving the undetermined coefficients can be fitted based on multiple parameters, that is, fitted based on initial historical signal strength, vertical distance, horizontal distance, signal strength, and weather data to solve for the multiple undetermined coefficients. There are 10 undetermined coefficients, namely... , , , , , , , , and Based on the initial historical signal strength and the vertical distance, horizontal distance, signal strength, and weather data at least 10 times in the current time period, the above 10 undetermined coefficients are solved to obtain the solution values ​​of the above 10 undetermined coefficients. The solution values ​​of the above 10 undetermined coefficients are then substituted into the signal strength relationship function to obtain the signal strength relationship function.

[0067] 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. It accurately describes the relationship between signal strength and vertical distance, horizontal distance, temperature data, wind data, and precipitation data. The calculation process fully considers the periodicity and overall trend of signal strength changes, thus improving the accuracy and objectivity of the signal strength relationship function.

[0068] According to an embodiment of the present invention, in step S104, the predicted weather data of the area where the secondary power line is located in the next time period is obtained, and the predicted signal strength is determined according to the predicted weather data, the track parameters and the signal strength relationship function.

[0069] For example, based on orbital parameters, the horizontal and vertical distances for the next time period are predicted, and the initial historical signal strength for the next time period is obtained. For instance, if the start time of the next time period is 12 noon, the signal strength at 12 noon of each day in the previous month is obtained as the initial historical signal strength for the next time period. The initial historical signal strength for the next time period, the predicted temperature data, predicted wind data, predicted precipitation data for the next period, and the horizontal and vertical distances are input into the signal strength relationship function to determine the predicted signal strength for the next time period.

[0070] According to one embodiment of the present invention, in step S105, it is determined whether to take signal enhancement measures based on the predicted signal strength.

[0071] According to an embodiment of the present invention, step S105 includes:

[0072] Based on the predicted signal strength, determine whether to take signal enhancement measures, including:

[0073] When the predicted signal strength is lower than a set signal strength threshold, it is determined to improve the receiver's operating environment;

[0074] When the predicted signal strength is lower than the set signal strength threshold, it is determined to switch to other BeiDou satellites.

[0075] For example, in the process of measuring and verifying the phase of power secondary lines 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 time. When the signal strength is too low, it may cause phase shift in the receiver when processing the signal, thus affecting the accuracy of phase measurement. The current time period is set as the debugging and preparation stage for the phase measurement and verification of power secondary lines. In the next time period, the phase of power secondary lines will be 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 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 necessary to improve the receiver's working environment (e.g., reduce obstructions, increase antenna height, etc.) and switch to other BeiDou satellites with better signal quality in advance.

[0076] According to an embodiment of the present invention, in step S106, during the current time period, network communication status parameters and working environment data of the BeiDou clock synchronization system are acquired through sensors and intelligent monitoring devices.

[0077] For example, network latency and packet loss rate of the BeiDou clock synchronization system can be obtained through professional network monitoring tools; and the operating temperature and humidity of the BeiDou clock synchronization system hardware can be collected through sensors installed at the hardware.

[0078] According to an embodiment of the present invention, in step S107, it is determined whether the BeiDou clock synchronization system needs to be maintained based on the network communication status parameters and the working environment data.

[0079] According to an embodiment of the present invention, step S107 includes:

[0080] Based on the network communication status parameters, determine the network latency and packet loss rate;

[0081] Based on the aforementioned working environment data, determine the working temperature data and working humidity data;

[0082] The system operation anomaly coefficient is determined based on the network latency, packet loss rate, operating humidity data, and operating temperature data.

[0083] Based on the system's operational anomaly coefficient, determine whether maintenance of the BeiDou clock synchronization system is required.

[0084] For example, the operating status of the BeiDou clock synchronization system is evaluated based on network latency, packet loss rate, operating humidity data, and operating temperature data. The system operation anomaly coefficient is determined, and based on the system operation anomaly coefficient, it is determined whether there are any abnormalities in the operation of the BeiDou clock synchronization system. The BeiDou clock synchronization system is then debugged and maintained.

[0085] According to one embodiment of the present invention, determining the system operation anomaly coefficient based on the network latency, the packet loss rate, the operating humidity data, and the operating temperature data includes: determining the system operation anomaly coefficient at the i-th moment of the time period according to formula (2). ,

[0086] ,

[0087] Where if is a conditional function. and To preset the weights, The network latency at the i-th moment of the current time period. Let i be the packet loss rate at the i-th moment of the current time period. For the preset threshold, The operating temperature at the i-th moment of the current time period. To preset the operating temperature threshold, This is a preset ratio. The working humidity at the i-th moment of the current time period. To preset the operating humidity threshold, The logical operator for "or".

[0088] According to one embodiment of the present invention, To represent the network status of the BeiDou clock synchronization system at the i-th moment of the current time period by weighted summation of network latency and packet loss rate, formula (2) can be expressed in the form of a conditional function for the following two cases, when the following conditions are met: When the condition is met, it indicates that the network condition of the BeiDou clock synchronization system is poor. Poor network conditions may lead to signal transmission delays, packet loss, or signal quality degradation, thus affecting synchronization accuracy. The value of the condition function is 1. When the condition is not met... When the condition is met, it indicates that the network condition of the BeiDou clock synchronization system is good, and the value of the condition function is 0.

[0089] According to one embodiment of the present invention, This represents the relative difference between the operating temperature at the i-th moment of the current time period and the preset operating temperature threshold. This indicates that the operating temperature at the i-th moment of the current time period is too high or too low, resulting in an abnormal operating temperature. This indicates that the working humidity is too high at the i-th moment of the current time period, resulting in an abnormal working humidity situation. In formula (2), the following two situations can be represented by a conditional function, when the condition is satisfied... The condition indicates an abnormal operating temperature or humidity. An abnormal operating temperature may cause clock drift in the high-precision clock module, affecting time synchronization accuracy. An abnormal operating humidity may cause corrosion of internal system components, also affecting time synchronization accuracy. The condition function value is 2; if the condition is not met... When the condition is met, it indicates that there are no abnormal working temperatures or humidity conditions, and the value of the condition function is 0.

[0090] According to one embodiment of the present invention, To determine the system operation anomaly coefficient based on the network status and operating environment of the BeiDou clock synchronization system. When the system operation anomaly coefficient is 1, it indicates that the network condition at the i-th moment of the current time period is abnormal. When the system operation anomaly coefficient is 2, it indicates that the working environment condition at the i-th moment of the current time period is abnormal. When the system operation anomaly coefficient is 3, it indicates that both the network condition and the working environment condition at the i-th moment of the current time period are abnormal.

[0091] In this way, the system operation anomaly coefficient can be determined based on network latency, packet loss rate, operating humidity data, and operating temperature data. During the calculation process, the operation anomaly status of the BeiDou clock synchronization system can be evaluated based on both the network status and the operating environment status of the BeiDou clock synchronization system, thereby improving the comprehensiveness and accuracy of the system operation anomaly coefficient.

[0092] According to one embodiment of the present invention, determining whether maintenance of the BeiDou clock synchronization system is required based on the system operation anomaly coefficient includes:

[0093] Determine the set of system operation anomaly coefficients based on the system operation anomaly coefficients at multiple moments within the current time period;

[0094] If all elements in the set of abnormal system operation coefficients are 0, it is determined that no maintenance is required for the BeiDou clock synchronization system.

[0095] If there is an element with a value of 1 in the set of abnormal system operation coefficients, it is determined that the network communication function of the Beidou clock synchronization system needs to be maintained.

[0096] If there is an element with a value of 2 in the set of abnormal system operation coefficients, it is determined that the hardware working environment of the Beidou clock synchronization system needs to be maintained.

[0097] If there is an element with a value of 3 in the set of abnormal system operation coefficients, it is determined that the network communication function and hardware working environment of the Beidou clock synchronization system need to be maintained.

[0098] For example, if all elements in the system operation anomaly coefficient set are 0, it indicates that the BeiDou clock synchronization system is operating normally in the current time period, and no maintenance is required. If there is an element of 1 in the system operation anomaly coefficient set, it indicates that the BeiDou clock synchronization system is experiencing network anomalies in the current time period, and maintenance of the network communication function of the BeiDou clock synchronization system is required. Since network conditions are prone to fluctuations, the network communication status is continuously monitored during the phase measurement and verification process in the next time period. If there is an element of 2 in the system operation anomaly coefficient set, it indicates that the BeiDou clock synchronization system is experiencing working environment anomalies in the current time period, and adjustments to the hardware working environment of the BeiDou clock synchronization system are required. If there is an element of 3 in the system operation anomaly coefficient set, it indicates that the BeiDou clock synchronization system is experiencing both network and working environment anomalies in the current time period, and maintenance of the network communication function and hardware working environment of the BeiDou clock synchronization system is required, with continuous monitoring of the network communication status.

[0099] According to one embodiment of the present invention, in step S108, a high-precision time synchronization signal is obtained through the BeiDou clock synchronization system.

[0100] For example, high-precision time synchronization signals (such as 1PPS signals) can be obtained through the BeiDou clock synchronization system.

[0101] According to one embodiment of the present invention, in step S109, the phase value of the power secondary line is determined based on the high-precision time synchronization signal.

[0102] According to an embodiment of the present invention, step S109 includes:

[0103] The high-precision time synchronization signal is distributed to the measurement points of the power secondary circuit;

[0104] At the measurement point of the power secondary line, current and voltage signals are collected, wherein the current and voltage signals are synchronized with the high-precision time synchronization signal;

[0105] The phase difference is determined based on the current signal and the voltage signal;

[0106] Determine the synchronization signal frequency of the high-precision time synchronization signal;

[0107] The phase angle is determined based on the phase difference and the frequency of the synchronization signal;

[0108] Based on the phase difference, the phase value of the power secondary circuit is determined.

[0109] For example, using transmission media such as fiber optics and Ethernet, the received high-precision time synchronization signal is distributed to various measurement points on the power secondary line. At the measurement points on the power secondary line, current transformers and voltage transformers are used to collect current and voltage signals, ensuring that the collected signals are synchronized with the high-precision time synchronization signal. Digital signal processing technology or analog filters are used to preprocess 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. Based on the phase difference and the reference phase, the phase value of the power secondary line is determined.

[0110] According to one embodiment of the present invention, in step S110, a comparison and verification is performed based on the phase value and the preset standard phase value.

[0111] For example, the measured phase value is compared with the preset standard phase value to check for any deviation. If a deviation exists, error analysis is required to identify possible causes (such as equipment error or transmission delay). Based on the results of the error analysis, the measurement system is adjusted and optimized as necessary to improve measurement accuracy.

[0112] The power secondary line phase measurement and verification method based on BeiDou clock synchronization according to embodiments of the present invention can accurately analyze the relationship between weather data, track parameters, and signal strength during short-term weather changes. Based on this relationship, it can predict the signal strength for phase measurement and verification, and determine whether signal enhancement measures need to be taken in advance to improve the accuracy of phase measurement. Furthermore, it can determine whether network communication and hardware debugging and maintenance of the BeiDou clock synchronization system are needed in advance based on the network communication status parameters and working environment data of the BeiDou clock synchronization system, ensuring the performance and stability of the BeiDou clock synchronization system and improving the accuracy of power secondary line phase measurement and verification. When determining the signal strength relationship function, it can be determined based on the initial historical signal strength, vertical distance, horizontal distance, signal strength, and weather data. This accurately describes the relationship between signal strength and vertical distance, horizontal distance, temperature data, wind data, and precipitation data. The calculation process fully considers the periodicity and overall trend of signal strength changes, improving the accuracy and objectivity of the signal strength relationship function. When determining the system operation anomaly coefficient, the coefficient can be determined based on network latency, packet loss rate, operating humidity data, and operating temperature data. During the calculation process, the operation anomaly status of the BeiDou clock synchronization system can be evaluated based on both the network status and the operating environment status, thereby improving the comprehensiveness and accuracy of the system operation anomaly coefficient.

[0113] Figure 2 An exemplary 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 shown, the system comprising:

[0114] The orbit parameter module is used to obtain the orbit parameters of BeiDou satellites;

[0115] The data acquisition module is used to acquire signal strength and weather data within the range of the secondary power line at multiple moments in the current time period. The weather data includes precipitation data, wind data, and temperature data.

[0116] The relational function module is used to determine the signal strength relational function based on the signal strength, the orbital parameters, and the weather data;

[0117] The predicted signal strength module is used to acquire the predicted weather data of the area where the power secondary line is located in the next time period, and determine the predicted signal strength based on the predicted weather data, the track parameters and the signal strength relationship function.

[0118] A signal enhancement module is used to determine whether to take signal enhancement measures based on the predicted signal strength.

[0119] The system parameter module is used to acquire network communication status parameters and operating environment data of the BeiDou clock synchronization system through sensors and intelligent monitoring devices during the current time period.

[0120] The system maintenance module is used to determine whether the BeiDou clock synchronization system needs maintenance based on the network communication status parameters and the working environment data.

[0121] The signal acquisition module is used to acquire high-precision time synchronization signals through the BeiDou clock synchronization system;

[0122] The phase value module is used to determine the phase value of the power secondary circuit based on the high-precision time synchronization signal.

[0123] The comparison and verification module is used to perform comparison and verification based on the phase value and the preset standard phase value.

[0124] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been shown and explained in the embodiments, and any modifications or variations of the embodiments of the present invention may be made without departing from the stated principles.

Claims

1. A method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization, characterized in that, include: Obtain the orbital parameters of BeiDou satellites; At multiple points in the current time period, acquire signal strength and weather data within the range of the secondary power line, wherein the weather data includes precipitation data, wind data, and temperature data; Based on the signal strength, the orbital parameters, and the weather data, determine the signal strength relationship function; Obtain the predicted weather data for the area where the secondary power line is located in the next time period, and determine the predicted signal strength based on the predicted weather data, the track parameters, and the signal strength relationship function; Based on the predicted signal strength, determine whether to take signal enhancement measures; During the current time period, network communication status parameters and operating environment data of the BeiDou clock synchronization system are obtained through sensors and intelligent monitoring equipment. Based on the network communication status parameters and the working environment data, determine whether maintenance of the BeiDou clock synchronization system is required; High-precision time synchronization signals are obtained through the BeiDou clock synchronization system; Based on the high-precision time synchronization signal, the phase value of the power secondary circuit is determined; The phase value and the preset standard phase value are compared and verified. Based on the signal strength, the orbital parameters, and the weather data, a signal strength relationship function is determined, including: Based on the orbital parameters, determine the position information of the BeiDou satellite; Obtain the receiving location information of the user's receiver; Based on the received location information and the location information, determine the vertical distance and the horizontal distance; Obtain the initial historical signal strength for the time that coincides with the start time of the current time period from among multiple historical dates; Based on the initial historical signal strength, the vertical distance, the horizontal distance, the signal strength, and the weather data, a signal strength relationship function is determined; Based on the initial historical signal strength, the vertical distance, the horizontal distance, the signal strength, and the weather data, a signal strength relationship function is determined, including: According to the formula ， Determine the equation of undetermined coefficients for the signal strength relationship function, where, The signal strength at the i-th moment of the current time period. Let J be the initial historical signal strength for the j-th historical date. This represents the vertical distance at the i-th moment of the current time period. The horizontal distance at the i-th moment of the current time period. This is the temperature data at the i-th moment of the current time period. To preset the temperature data threshold, This represents the wind speed data at the i-th moment of the current time period. This represents the precipitation data at the i-th moment of the current time period. , , , , , , , , and Let be the undetermined coefficients of the equation, m be the number of historical dates, j ≤ m, and j and m are both positive integers; Based on the historical signal strength, the vertical distance, the horizontal distance, the signal strength, and the weather data, the undetermined coefficients are solved to obtain the solved values ​​of the undetermined coefficients; The signal strength relationship function is obtained based on the solved values ​​of the undetermined coefficients and the equations for the undetermined coefficients.

2. The method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization according to claim 1, characterized in that, Based on the predicted signal strength, determine whether to take signal enhancement measures, including: When the predicted signal strength is lower than a set signal strength threshold, it is determined to improve the receiver's operating environment; When the predicted signal strength is lower than the set signal strength threshold, it is determined to switch to other BeiDou satellites.

3. The method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization according to claim 1, characterized in that, Based on the network communication status parameters and the operating environment data, determine whether maintenance of the BeiDou clock synchronization system is required, including: Based on the network communication status parameters, determine the network latency and packet loss rate; Based on the aforementioned working environment data, determine the working temperature data and working humidity data; The system operation anomaly coefficient is determined based on the network latency, packet loss rate, operating humidity data, and operating temperature data. Based on the system's operational anomaly coefficient, determine whether maintenance of the BeiDou clock synchronization system is required.

4. The method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization according to claim 3, characterized in that, Based on the network latency, packet loss rate, operating humidity data, and operating temperature data, a system operation anomaly coefficient is determined, including: According to the formula ， Determine the system operation anomaly coefficient at the i-th time point of the time period. Where, if is a conditional function, and To preset weights, The network latency at the i-th moment of the current time period. Let i be the packet loss rate at the i-th moment of the current time period. For the preset threshold, The operating temperature at the i-th moment of the current time period. To preset the operating temperature threshold, This is a preset ratio. The working humidity at the i-th moment of the current time period. To preset the operating humidity threshold, The logical operator for "or".

5. The method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization according to claim 3, characterized in that, Based on the system's operational anomaly coefficient, determine whether maintenance of the BeiDou clock synchronization system is required, including: Determine the set of system operation anomaly coefficients based on the system operation anomaly coefficients at multiple moments within the current time period; If all elements in the set of abnormal system operation coefficients are 0, it is determined that no maintenance is required for the BeiDou clock synchronization system. If there is an element with a value of 1 in the set of abnormal system operation coefficients, it is determined that the network communication function of the Beidou clock synchronization system needs to be maintained. If there is an element with a value of 2 in the set of abnormal system operation coefficients, it is determined that the hardware working environment of the Beidou clock synchronization system needs to be maintained. If there is an element with a value of 3 in the set of abnormal system operation coefficients, it is determined that the network communication function and hardware working environment of the Beidou clock synchronization system need to be maintained.

6. The method for phase measurement and verification of power secondary lines based on BeiDou clock synchronization according to claim 1, characterized in that, Based on the high-precision time synchronization signal, the phase value of the power secondary circuit is determined, including: The high-precision time synchronization signal is distributed to the measurement points of the power secondary circuit; At the measurement point of the power secondary line, current and voltage signals are collected, wherein the current and voltage signals are synchronized with the high-precision time synchronization signal; The phase difference is determined based on the current signal and the voltage signal; Determine the synchronization signal frequency of the high-precision time synchronization signal; The phase angle is determined based on the phase difference and the frequency of the synchronization signal; Based on the phase difference, the phase value of the power secondary circuit is determined.

7. A power secondary line phase measurement and verification system based on BeiDou clock synchronization for performing the method of any one of claims 1-6, characterized in that, include: The orbit parameter module is used to obtain the orbit parameters of BeiDou satellites; The data acquisition module is used to acquire signal strength and weather data within the range of the secondary power line at multiple moments in the current time period. The weather data includes precipitation data, wind data, and temperature data. The relational function module is used to determine the signal strength relational function based on the signal strength, the orbital parameters, and the weather data; The predicted signal strength module is used to acquire the predicted weather data of the area where the power secondary line is located in the next time period, and determine the predicted signal strength based on the predicted weather data, the track parameters and the signal strength relationship function. A signal enhancement module is used to determine whether to take signal enhancement measures based on the predicted signal strength. The system parameter module is used to acquire network communication status parameters and operating environment data of the BeiDou clock synchronization system through sensors and intelligent monitoring devices during the current time period. The system maintenance module is used to determine whether the BeiDou clock synchronization system needs maintenance based on the network communication status parameters and the working environment data. The signal acquisition module is used to acquire high-precision time synchronization signals through the BeiDou clock synchronization system; The phase value module is used to determine the phase value of the power secondary circuit based on the high-precision time synchronization signal. The comparison and verification module is used to perform comparison and verification based on the phase value and the preset standard phase value.

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