A transformer ice-melting data monitoring recording method, system, device and medium

Abstract

The application discloses a transformer ice-melting data monitoring recording method, system, device and medium, and belongs to the technical field of data processing. The method comprises the following steps: combining a host end and a slave end to collect current by using a multi-stage filtering architecture and a temperature compensation system; acquiring branch line voltage data by the slave end; generating initial current data from first and second initial ice-melting current data and initial branch line current data; determining an adjusted sampling frequency based on the initial current data to collect the first and second ice-melting current data and the branch line current data, and predicting an ice-melting duration based on the first ice-melting current data to adjust an initial ice-melting voltage; monitoring a line anomaly based on the first and second ice-melting current data and the branch line current voltage data to generate an event log; and encrypting and storing the event log, the target ice-melting voltage, the first and second ice-melting current data and the branch line current voltage data. The application realizes full-process digital management of ice-melting data, and makes the recorded ice-melting data more reliable.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method, system, device and medium for monitoring and recording transformer de-icing data. Background Technology

[0002] Ice accumulation on distribution network lines is a major hidden danger to the safe operation of power systems. Ice accumulation increases the weight of conductors, causing them to sag, and may even lead to serious accidents such as short circuits and collapses. Therefore, timely de-icing of distribution network lines is of paramount importance.

[0003] Currently, de-icing transformers are commonly used to de-ic the distribution network lines. For the de-icing process of de-icing transformers, the monitoring and recording of de-icing data is a very important part. However, most de-icing transformers currently rely on manual meter reading and manual data recording, which has problems such as data monitoring lag, easy data loss, and insufficient data volume. At the same time, if the data volume is large, the manual reading and recording method may produce more errors and omissions, affecting the reliability of de-icing data monitoring and recording. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention provides a method, system, device and medium for monitoring and recording transformer de-icing data.

[0005] Therefore, the technical problem solved by the present invention is that the existing data monitoring and recording of ice melting transformers in distribution network lines suffers from monitoring lag, easy data loss and high error rate, and insufficient data volume, resulting in low reliability of ice melting data monitoring and recording.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: A method for monitoring and recording transformer de-icing data, comprising, The host sends data acquisition commands to several slave terminals, controlling each slave terminal to acquire initial branch current data and branch voltage data and feed them back to the host terminal. At the same time, it acquires first initial de-icing current data. The host terminal generates initial current data based on the first initial de-icing current data, the second initial de-icing current data fed back by each slave terminal, and the initial branch current data. The host performs spectrum analysis on the initial current data, extracts characteristic frequencies, and calculates and determines the adjustment sampling frequency based on the characteristic frequencies. The host and each slave use the adjustment sampling frequency to re-collect the first de-icing current data corresponding to the host and the second de-icing current data of each slave. The host predicts the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and adjusts the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage. The host device generates an event log based on the collected current and voltage data to monitor line anomalies, and then encrypts and packages the event log, target de-icing voltage, and current and voltage data for storage.

[0007] As a preferred embodiment of the transformer de-icing data monitoring and recording method of the present invention, the host terminal predicts the de-icing time based on the first de-icing current data and the detected ambient temperature and iced line radius, and adjusts the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage, including: The initial de-icing voltage is set based on the length and wire diameter of the de-icing line, and the real-time power is calculated based on the initial de-icing voltage and the newly acquired first de-icing current data. The ambient temperature and the radius of the icing line are detected, and the de-icing time is predicted based on the real-time power combined with the ambient temperature and the radius of the icing line. Based on the melting time, the adjustment coefficient of the initial melting voltage is determined using the melting voltage database, and the initial melting voltage is adjusted based on the adjustment coefficient to obtain the target melting voltage.

[0008] As a preferred embodiment of the transformer de-icing data monitoring and recording method of the present invention, wherein: the control of each slave terminal to collect initial branch current data and branch voltage data and feed them back to the master terminal, and simultaneously collecting the first initial de-icing current data, including: The host and each slave acquire analog current based on the initial sampling frequency, and perform multi-level filtering on the analog current to obtain the multi-level filtered analog current. The multi-level filtering includes hardware-level filtering and software-level filtering. The hardware-level filtering uses a resistor-capacitor low-pass filter circuit, and the software-level filtering uses a sliding window mean filtering algorithm. The current ambient temperature is calculated using the Steinhardt-Hart equation, and the temperature compensation coefficient and temperature change are determined based on the current ambient temperature. Based on the temperature compensation coefficient and the temperature change, a corrected analog-to-digital conversion reference value is determined, and based on the corrected analog-to-digital conversion reference value and the current analog quantity after multi-level filtering, the first initial de-icing current data, the second initial de-icing current data, and the initial branch current data are determined.

[0009] As a preferred embodiment of the transformer de-icing data monitoring and recording method of the present invention, the step of monitoring line anomalies based on the collected current and voltage data includes: A first preset threshold is determined, and abnormal branch current data are determined based on the comparison result between the branch current data and the first preset threshold. Calculate the difference between the first and second de-icing current data, and determine the abnormal data of the de-icing line based on the comparison result of the difference and the second preset threshold. Abnormal branch voltage data are determined based on the comparison results between the branch voltage data and the third preset threshold. The results of line anomaly monitoring are determined based on abnormal data of branch current, abnormal data of de-icing lines, and abnormal data of branch voltage.

[0010] As a preferred embodiment of the transformer de-icing data monitoring and recording method of the present invention, the step of calculating and determining the adjustment sampling frequency based on the characteristic frequency includes: Perform fast Fourier transform spectral analysis on the initial current data to obtain the target spectrum; The harmonic frequency and fundamental frequency are determined based on the target spectrum, and the sampling frequency is adjusted based on the harmonic frequency and the fundamental frequency. The expression for adjusting the sampling frequency is: ; in, To adjust the sampling frequency, For safety reasons, To find the maximum value function, For harmonic frequencies, This is the frequency offset. This is the fundamental frequency.

[0011] In a preferred embodiment of the transformer de-icing data monitoring and recording method described in this invention, the expression for the real-time power is: ; in, U represents the real-time power, U represents the initial melting voltage, and I represents the first melting current data. The expression for the ice melting time is: ; in, For the duration of ice melting, The specific heat capacity of ice. This is the melting temperature of ice. For ambient temperature, The radius of the icing line. The original radius of the conductor. The cross-sectional area of ​​a pure ice layer per unit length. This represents real-time power.

[0012] As a preferred embodiment of the transformer de-icing data monitoring and recording method of the present invention, the step of determining the first preset threshold includes: Calculate the current and voltage data of the three sequence networks, and determine the three-phase voltage and three-phase current based on the current and voltage data of the three sequence networks; The power network is simulated using the three-phase voltage and three-phase current based on simulation software to obtain simulation results, and a first preset threshold is determined based on the simulation results.

[0013] This invention provides a monitoring and recording system for transformer de-icing data.

[0014] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a monitoring and recording system for transformer de-icing data, comprising: The generation module is used to send data acquisition instructions from the host to several slave terminals, control each slave terminal to acquire initial branch current data and branch voltage data and feed them back to the host terminal, and simultaneously acquire first initial de-icing current data. The host terminal generates initial current data based on the first initial de-icing current data, the second initial de-icing current data fed back by each slave terminal and the initial branch current data. The sampling frequency dynamic adjustment module is used by the host to perform spectrum analysis on the initial current data, extract characteristic frequencies, and calculate and determine the adjustment sampling frequency based on the characteristic frequencies. The host and each slave end use the adjusted sampling frequency to re-collect the first de-icing current data corresponding to the host end and the second de-icing current data of each slave end. The voltage regulation module is used by the host to predict the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and to adjust the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage. The data storage module is used by the host to generate event logs based on the collected current and voltage data for line anomaly monitoring, and to encrypt and package the event logs, target de-icing voltage, and current and voltage data for storage.

[0015] The present invention provides a computer device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the method for monitoring and recording transformer de-icing data.

[0016] The present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for monitoring and recording transformer de-icing data.

[0017] The beneficial effects of this invention are as follows: By combining a multi-level filtering architecture and a temperature compensation system based on the Steinhart-Hart equation, this invention acquires and calibrates analog current quantities, achieving high-precision automated acquisition of current data, effectively suppressing noise interference and correcting errors caused by temperature drift; by dynamically determining and adjusting the sampling frequency based on FFT spectrum analysis of initial current data, adaptive optimization of the sampling frequency is achieved, ensuring both the accuracy of current data acquisition and the real-time performance of system processing; by predicting the melting time based on the first melting current data and adjusting the initial melting voltage accordingly, closed-loop control of the melting voltage is achieved, thereby improving the melting effect and efficiency of the line; by comprehensively analyzing the current and voltage data acquired by the master and slave ends and comparing them with preset thresholds determined based on sequence network simulation, anomaly monitoring of branch current, melting lines, and branch voltage is achieved, and event logs are automatically generated, improving the accuracy and reliability of fault identification; by encrypting, digitally signing, and timestamping all process data such as event logs, melting voltage, current, and voltage before storage, secure and reliable recording and full-process digital management of melting data are achieved. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a basic flowchart illustrating a method for monitoring and recording transformer de-icing data according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the layout of the master and slave ends of a method for monitoring and recording transformer de-icing data according to an embodiment of the present invention. Detailed Implementation

[0020] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0021] Example 1, referring to Figure 1 As an embodiment of the present invention, a method for monitoring and recording transformer de-icing data is provided, comprising: S100: The host terminal sends data acquisition instructions to several slave terminals, controlling each slave terminal to acquire initial branch current data and branch voltage data and feed them back to the host terminal. At the same time, it acquires first initial de-icing current data. The host terminal generates initial current data based on the first initial de-icing current data, the second initial de-icing current data fed back by each slave terminal, and the initial branch current data. S200: The host terminal performs spectrum analysis on the initial current data, extracts the characteristic frequency, and calculates and determines the adjustment sampling frequency based on the characteristic frequency. The host terminal and each slave terminal use the adjustment sampling frequency to re-collect the first de-icing current data corresponding to the host terminal and the second de-icing current data of each slave terminal. S300: The host predicts the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and adjusts the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage. S400: The host terminal generates an event log based on the collected current and voltage data to monitor line anomalies, and encrypts and packages the event log, target de-icing voltage, and current and voltage data for storage.

[0022] Example 2, refer to Figure 2 As one embodiment of the present invention, based on the previous embodiment, a method for monitoring and recording transformer de-icing data is provided, comprising: In this embodiment of the invention, in step S100, each slave terminal acquires branch voltage data according to a preset data acquisition frequency, eliminating the need for manual meter reading and realizing automated acquisition of voltage data, thus providing more comprehensive data support for line anomaly monitoring.

[0023] In this embodiment of the invention, step S100 involves controlling each slave device to collect initial branch current data and branch voltage data and feed them back to the master device, while simultaneously collecting the first initial de-icing current data, including: The host and each slave device acquire analog current based on an initial sampling frequency, which can be preset to 1kHz. The analog current is then subjected to multi-stage filtering to obtain the multi-stage filtered analog current. The multi-stage filtering includes hardware-level filtering and software-level filtering. The hardware-level filtering uses a resistor-capacitor (RC) low-pass filter circuit to suppress high-frequency noise, while the software-level filtering uses a sliding window mean filtering algorithm to effectively reduce random interference.

[0024] The current ambient temperature is calculated using the Steinhart-Hart equation, and the temperature compensation coefficient and temperature change are determined based on the current ambient temperature. The corrected analog-to-digital conversion reference value is determined based on the temperature compensation coefficient and temperature change. The first initial de-icing current data, the second initial de-icing current data, and the initial branch current data are determined based on the corrected analog-to-digital conversion reference value and the current analog quantity after multi-level filtering. This eliminates the need for manual meter reading and enables automated acquisition of current data.

[0025] In this embodiment of the invention, the master unit consists of a current transformer module, a signal processing unit, a main control chip, a wireless communication module, a data storage module, and a human-machine interface. The slave unit consists of a current transformer module, a voltage transformer module, a signal processing unit, a main control chip, and a wireless communication module. The current transformer adopts a ring-shaped open design, allowing for non-intrusive connection to the conductor under test. The wireless communication module supports one-to-one and one-to-many network communication. The layout of the master and slave units can be as follows: Figure 2 As shown, the current transformer is clipped to the adjustable output wire at the master end, and the current transformers at slave ends #1, #2, #3, #4 and #5 are disconnected at the branch sections of the de-icing line as needed.

[0026] In this embodiment of the invention, a communication network segment is set for both the master and slave terminals, i.e., the same communication network segment, such as 433MHz, is used for both. A first identity identifier is set for the master terminal and a second identity identifier for each slave terminal. The identity identifiers for the master and slave terminals are different, and the identity identifiers for each slave terminal are also different. A wireless ad hoc network is constructed based on the communication network segment, the first identity identifier, and the second identity identifier. Coordinated communication between the master terminal and each slave terminal is established by combining the communication network segment, the first identity identifier, and the second identity identifier, forming the wireless ad hoc network. In the wireless ad hoc network, the master terminal transmits current acquisition commands to several slave terminals at a fixed frequency. For example, in the wireless ad hoc network, the master terminal sequentially sends current acquisition commands to the slave terminals at a frequency of 100Hz.

[0027] In this embodiment of the invention, the temperature compensation system performs real-time calibration compensation based on the analog-to-digital conversion reference value. The temperature compensation system includes a temperature compensation module, which monitors ambient temperature changes in real time using an integrated negative temperature coefficient (NTC) sensor. The NTC sensor is a thermistor, and its resistance is measured. The temperature compensation module in the temperature compensation system calculates the current ambient temperature using the Steinhart-Hart equation, which is expressed as: ; in, The ambient temperature is R, the resistance of the thermistor is R, and A, B, and C are material property coefficients. The calculation is performed using the natural logarithm, and the temperature compensation coefficient and temperature change are determined based on the current ambient temperature. The temperature compensation coefficient is then matched with the current ambient temperature in the database.

[0028] There are two main ways to obtain the coefficients A, B, and C: one is to directly consult the product datasheet provided by the NTC thermistor manufacturer. Some manufacturers will directly provide the coefficient values ​​or provide a resistance-temperature lookup table from which the coefficients can be obtained through fitting; the other is to calculate them yourself through experimental calibration (i.e., the three-point fitting method). Specifically, select three precise temperature points within the temperature range to be measured and measure the corresponding thermistor resistance values. Substitute these three sets of data into the Steinhardt-Hart equation to construct a system of three linear equations. By solving this system of equations, the specific values ​​of A, B, and C can be accurately obtained.

[0029] In this embodiment of the invention, the expression for correcting the analog-to-digital conversion reference value is: ; in, , This is the temperature compensation coefficient. The change in temperature The baseline value for analog-to-digital conversion before correction. To correct the analog-to-digital conversion reference value, and to determine the first initial de-icing current data corresponding to the master terminal and the second initial de-icing current data and initial branch current data of each slave terminal based on the corrected analog-to-digital conversion reference value and the current analog quantity after multi-stage filtering, analog-to-digital conversion can be performed on the current analog quantity after multi-stage filtering according to the corrected analog-to-digital conversion reference value to obtain the first initial de-icing current data corresponding to the master terminal and the second initial de-icing current data and initial branch current data of each slave terminal.

[0030] It should be noted that, in this embodiment, the first initial melting current data and the second initial melting current data specifically refer to the raw data collected based on the initial sampling frequency in step S100; while the first melting current data and the second melting current data specifically refer to the high-precision data re-collected based on the adjusted sampling frequency in step S200.

[0031] In this embodiment of the invention, step S200, which calculates and determines the adjusted sampling frequency based on the harmonic frequency and the fundamental frequency, includes: The target spectrum is obtained by performing fast Fourier transform spectral analysis on the initial current data; Determining the harmonic and fundamental frequencies based on the target spectrum, and then adjusting the sampling frequency based on the harmonic and fundamental frequencies, can improve the accuracy of current data acquisition and provide more accurate data support for the analysis of de-icing voltage and the monitoring of line anomalies.

[0032] In this embodiment of the invention, the expression for adjusting the sampling frequency in step S200 is: ; in, To adjust the sampling frequency, For safety reasons, To find the maximum value function, For harmonic frequencies, This is the frequency offset. The fundamental frequency is the frequency of harmonics, and the harmonic frequency is the frequency of highest concern. The safety factor can be taken as 1.2-1.5.

[0033] In this embodiment of the invention, the initial current data generated in S100 is acquired based on a relatively low initial sampling frequency. Since this data is mainly used for subsequent spectrum analysis to determine characteristic frequencies, the accuracy requirement for waveform reconstruction is relatively low.

[0034] Specifically, after the initial current data is converted from analog to digital, the system performs Fast Fourier Transform (FFT) analysis on it. Since alternating current exhibits a sinusoidal waveform, accurate calculation of power and energy in subsequent control requires matching the sampling frequency with the signal frequency. Directly using high-frequency sampling (e.g., 5kHz) can reconstruct the waveform, but it generates significant data redundancy, consuming substantial processing unit resources. Conversely, using low-frequency sampling (e.g., 1kHz) will introduce large measurement errors when the signal frequency fluctuates.

[0035] Therefore, this embodiment uses initial current data to analyze the harmonic frequency and fundamental frequency, and substitutes them into the formula to calculate the optimal adjustment sampling frequency (e.g., The system switches to this adjusted sampling frequency for a new round of data acquisition.

[0036] Thus, this invention achieves dynamic adjustment: frequency domain analysis is completed using low-frequency initial data, and time domain control is completed using high-frequency fine-sampling data, which reduces the system load and ensures the accuracy of ice melting control.

[0037] In this embodiment of the invention, step S300 involves the host terminal predicting the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and adjusting the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage, including: The initial de-icing voltage is set based on the length and wire diameter of the de-icing line, and the real-time power is calculated based on the initial de-icing voltage and the first de-icing current data re-acquired in step S200. The system detects ambient temperature and the radius of icing lines, and predicts the de-icing time based on real-time power combined with ambient temperature and the radius of icing lines. Based on the melting time, the adjustment coefficient of the initial melting voltage is determined using the melting voltage database, and the initial melting voltage is adjusted based on the adjustment coefficient to obtain the target melting voltage.

[0038] In this embodiment of the invention, in step S300, the adjustment coefficient of the initial melting voltage is determined based on the melting voltage database according to the melting time. The melting voltage database stores the voltage adjustment coefficients corresponding to different melting times, and the initial melting voltage is adjusted based on the adjustment coefficient to obtain the target melting voltage. The host is set with the optimal melting voltage adjustment function, which provides melting voltage output and supports the adjustment of the output voltage, thereby realizing closed-loop output control of the melting voltage.

[0039] In this embodiment of the invention, the method for constructing the ice-melting voltage database is as follows: An ice-melting physical model is established based on the law of conservation of energy. The total heat required to heat the ice from the current ambient temperature to its melting point and completely melt it is calculated. The theoretical ice-melting power is derived by combining this with the set target ice-melting time, and the theoretical ice-melting voltage is calculated to generate a basic dataset. Ice-melting experiments are conducted in a real environment. By comparing the deviation between the actual ice-melting time and the target time, a voltage adjustment coefficient is introduced to correct the theoretical ice-melting voltage. The mapping relationship between different ambient temperatures, ice thicknesses, target ice-melting times, and the corresponding voltage adjustment coefficients is compiled into a table or fitted into an empirical formula to form the ice-melting voltage database.

[0040] In this embodiment of the invention, after determining the adjustment sampling frequency in step S300, the accuracy of current acquisition can be ensured. The melting time is predicted based on the first melting current data, and the optimal voltage adjustment suggestion is generated based on the predicted melting time to obtain the target melting voltage, which can effectively improve the line melting effect.

[0041] In this embodiment of the invention, in step S300, the host terminal and each slave terminal have independent communication identifiers. The measurement location of the collected current data can be determined through these identifiers. The host terminal transmits the current acquisition command to each slave terminal according to the adjusted sampling frequency. Each slave terminal collects the current data of the corresponding branch of the de-icing line, which is the branch current data, and feeds it back to the host terminal. The host terminal collects the current data of the de-icing line according to the adjusted sampling frequency. The host terminal outputs the initial de-icing voltage based on the length and diameter of the de-icing line. It calculates the real-time power based on the initial de-icing voltage and the first de-icing current data. The expression for the real-time power is: ; in, U represents the real-time power, U represents the initial melting voltage, and I represents the first melting current data. In this embodiment of the invention, ambient temperature and the radius of the iced line are detected by corresponding sensors. The radius of the iced line is the radius of the line after icing. The real-time power is combined with ambient temperature and the radius of the iced line. The expression for predicting the melting time is: ; in, For the duration of ice melting, The specific heat capacity of ice. T represents the melting temperature of ice, and T represents the current ambient temperature. The radius of the icing line. The original radius of the conductor. The cross-sectional area of ​​a pure ice layer per unit length. This represents real-time power.

[0042] In this embodiment of the invention, step S400 involves the host terminal performing line anomaly monitoring based on the collected current and voltage data, including: A first preset threshold is determined, and abnormal branch current data are determined based on the comparison result between the branch current data and the first preset threshold. Calculate the difference between the first and second de-icing current data, and determine the abnormal data of the de-icing line based on the comparison result of the difference and the second preset threshold. Abnormal branch voltage data are determined based on the comparison results between the branch voltage data and the third preset threshold. Based on abnormal data from branch current, de-icing lines, and branch voltage, the monitoring results for line anomalies are determined. An event log is created, recording the faulty de-icing lines and their corresponding branches, as well as the normal de-icing lines and their corresponding branches, along with the current time, voltage, and current data of the fault. Simultaneously, when an anomaly is detected, the host computer can trigger an audible and visual alarm.

[0043] It should be noted that this invention resolves the contradiction between data accuracy and processing speed in existing technologies through a phased data acquisition strategy. The first phase (S100) rapidly generates spectral characteristics using initial current data (low-frequency sampling) to determine the optimal observation window, avoiding data processing congestion caused by blindly sampling at high frequencies. The second phase (S200-S300), based on the optimal observation window (adjusting the sampling frequency), acquires high-precision first and second melting current data in real time. Because the sampling frequency matches the signal characteristics at this stage, the acquired first melting current data has an extremely high signal-to-noise ratio, thus ensuring the accuracy of power calculation and melting duration prediction in S300.

[0044] In this embodiment of the invention, determining the first preset threshold in step S400 includes: Calculate the current and voltage data of the three sequence networks, and determine the three-phase voltage and three-phase current based on the current and voltage data of the three sequence networks; The power network is simulated using three-phase voltage and three-phase current based on the simulation software (Simulink), the simulation results are obtained, and a first preset threshold is determined based on the simulation results.

[0045] In this embodiment of the invention, a power network is simulated using three-phase voltage and three-phase current based on simulation software to obtain simulation results. A first preset threshold is determined based on the simulation results. Specifically, this includes: constructing a simulation model of the de-icing line in Simulink, setting line parameters, transformer parameters, and load parameters, and simulating different fault types and degrees of faults; after running the simulation, recording the current data of each branch line under normal conditions and various fault conditions, and determining the maximum value of the branch line current under normal conditions as the first preset threshold by statistically analyzing a large amount of simulation data.

[0046] In this embodiment of the invention, determining the first preset threshold in step S400 includes: calculating the current data and voltage data of the three sequence networks, wherein the expression for the current data of the three sequence networks is: ; In the formula, Let be the positive sequence current from node i to node j. Let be the positive sequence voltage at node i. Let be the positive sequence voltage at node j. The element in the i-th row and j-th column of the positive sequence network impedance matrix. Let be the negative sequence current from node i to node j. The negative sequence voltage of node i. Let be the negative sequence voltage at node j. The element in the i-th row and j-th column of the negative sequence network impedance matrix. Let be the zero-sequence current from node i to node j. Let be the zero-sequence voltage of node i. Let be the zero-sequence voltage at node j. This represents the element in the i-th row and j-th column of the zero-sequence network impedance matrix; In this embodiment of the invention, the first preset threshold is set based on the electrical characteristics and safety margin of the de-icing circuit. Specifically, considering that the main circuit current is much greater than the branch line leakage current during the de-icing process, the maximum value of the branch line current is set to be less than 0.7% of the de-icing current, and the stable value of the branch line current should be less than 0.5A. If the branch line current exceeds this threshold, it usually means that there is an unexpected load connection or insulation degradation on the branch line, thus it is judged as abnormal branch line current data.

[0047] In this embodiment of the invention, the difference between the first de-icing current data and the second de-icing current data is calculated, and abnormal data of the de-icing line is determined based on the comparison result of the difference and a second preset threshold. The second preset threshold is set based on the measurement accuracy of the current transformer and the normal loss of the line; if the difference exceeds the threshold, it indicates that there is a significant current leakage or poor contact fault in the line, thus determining that the de-icing line has a fault; if the difference does not exceed the threshold, the de-icing line is determined to be in a normal state.

[0048] In this embodiment of the invention, abnormal branch voltage data is determined based on the comparison between branch voltage data and a third preset threshold. The logic for determining the third preset threshold is as follows: Based on the symmetrical component method (sequence network analysis) and Ohm's law, the branch voltage under de-icing conditions should theoretically be close to zero; considering personal safety protection requirements, national standards stipulate that the safety extra-low voltage (ELV) limit is generally no higher than 36V. Combined with the turns ratio of the de-icing transformer, the induced voltage threshold on the high-voltage side corresponds to 1.7kV~1.8kV. Therefore, when a branch voltage exceeding 1.8kV is detected, it is determined to be insulation breakdown or abnormal induced voltage, triggering a branch voltage abnormality alarm.

[0049] In this embodiment of the invention, in step S400, line anomaly monitoring is performed based on the first de-icing current data, the second de-icing current data, the branch current data, and the branch voltage data. By back-calculating the line current and voltage, faults such as poor line contact can be accurately identified, and the line fault monitoring data is used to generate an event log for easy subsequent log querying.

[0050] In this embodiment of the invention, step S400 integrates the generated event log, target melting voltage, first melting current data, second melting current data, branch current data, and branch voltage data, collectively referred to as the melting monitoring dataset. The melting monitoring dataset is then encrypted using a selected encryption algorithm to obtain an encrypted melting monitoring dataset. The encryption algorithm may employ Advanced Encryption Standard 128 (AES128), Data Encryption Standard 32 (DES-32), or Data Encryption Standard 128 (DES-128), etc.

[0051] In this embodiment of the invention, the hash value of the encrypted ice melt monitoring dataset is calculated, the hash value is encrypted using a private key to generate a digital signature, and the digital signature is added to the encrypted ice melt monitoring dataset. Subsequently, a timestamp request event is generated based on the hash value of the encrypted ice melt monitoring dataset, a timestamp token is obtained, and the timestamp token is added to the encrypted ice melt monitoring dataset containing the digital signature to obtain the final ice melt monitoring dataset.

[0052] In this embodiment of the invention, a secure transmission channel is established according to the corresponding communication protocol, and the final ice-melting monitoring data is stored in the corresponding storage block based on the secure transmission channel. Simultaneously, the host can upload relevant data to the cloud platform via an RS485 interface combined with a gateway, forming a comprehensive and detailed record of the ice-melting process data, facilitating rapid subsequent retrieval and ensuring the security of the data records.

[0053] It should be noted that line de-icing utilizes the principle of AC short circuits and can be considered as a short-circuit fault in the power system. In this embodiment, the symmetrical component method is used for fault calculation: assuming the network is linear and the parameters of each component are constant, the superposition principle is applied to decompose the three-phase network into three independent networks: positive sequence, negative sequence, and zero sequence. The voltage and current of each sequence network are decomposed into normal components and fault components. Based on the boundary conditions of the fault type, the three sequence networks are connected into a complete network. The fault component is calculated using linear AC circuit theory and added to the normal component to obtain the actual value, thereby calculating the three-phase voltage and current.

[0054] In this embodiment of the invention, during the data acquisition phase, the host and each slave device adaptively adjust the sampling frequency based on the initial current data and spectral analysis to ensure the accuracy of the current data acquisition. The melting time is predicted based on the first melting current data to determine the target melting voltage, and various current and voltage data are combined to monitor line anomalies and generate corresponding event logs.

[0055] In this embodiment of the invention, by incorporating the de-icing voltage and line anomaly monitoring results (event logs) along with current data into encrypted storage, the entire process of digital management of de-icing data is achieved. This mechanism effectively solves the problems of data lag, easy loss, and inability to read data simultaneously from multiple points that exist in manual monitoring, making the stored de-icing data more accurate and reliable, and significantly improving the reliability of anomaly monitoring as well as the efficiency and safety of de-icing operations.

[0056] Example 3 is an embodiment of the present invention. This embodiment differs from the first embodiment in that it provides a monitoring and recording system for transformer de-icing data.

[0057] It should be noted that the technical solution of the transformer de-icing data monitoring and recording system is based on the same concept as the technical solution of the transformer de-icing data monitoring and recording method described above. For details not described in detail in the technical solution of the transformer de-icing data monitoring and recording system in this embodiment, please refer to the description of the technical solution of the transformer de-icing data monitoring and recording method described above.

[0058] This embodiment provides a transformer de-icing data monitoring and recording system, comprising: The generation module is used to send data acquisition instructions from the host to several slave terminals, control each slave terminal to acquire initial branch current data and branch voltage data and feed them back to the host terminal, and simultaneously acquire first initial de-icing current data. The host terminal generates initial current data based on the first initial de-icing current data, the second initial de-icing current data fed back by each slave terminal and the initial branch current data. The sampling frequency dynamic adjustment module is used by the host to perform spectrum analysis on the initial current data, extract characteristic frequencies, and calculate and determine the adjustment sampling frequency based on the characteristic frequencies. The host and each slave end use the adjusted sampling frequency to re-collect the first de-icing current data corresponding to the host end and the second de-icing current data of each slave end. The voltage regulation module is used by the host to predict the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and to adjust the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage. The data storage module is used by the host to generate event logs based on the collected current and voltage data for line anomaly monitoring, and to encrypt and package the event logs, target de-icing voltage, and current and voltage data for storage.

[0059] This embodiment also provides a computer device applicable to a method for monitoring and recording transformer de-icing data, including: The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement a method for monitoring and recording transformer de-icing data as described in the above embodiments.

[0060] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a method for monitoring and recording transformer de-icing data as proposed in the above embodiments.

[0061] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for monitoring and recording transformer de-icing data proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0062] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0063] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for monitoring and recording transformer de-icing data, characterized in that, include: The host sends data acquisition commands to several slave terminals, controlling each slave terminal to acquire initial branch current data and branch voltage data and feed them back to the host terminal. At the same time, it acquires first initial de-icing current data. The host terminal generates initial current data based on the first initial de-icing current data, the second initial de-icing current data fed back by each slave terminal, and the initial branch current data. The host performs spectrum analysis on the initial current data, extracts characteristic frequencies, and calculates and determines the adjustment sampling frequency based on the characteristic frequencies. The host and each slave use the adjustment sampling frequency to re-collect the first de-icing current data corresponding to the host and the second de-icing current data of each slave. The host predicts the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and adjusts the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage. The host device generates an event log based on the collected current and voltage data to monitor line anomalies, and then encrypts and packages the event log, target de-icing voltage, and current and voltage data for storage.

2. The method for monitoring and recording transformer de-icing data as described in claim 1, characterized in that: The host terminal predicts the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and adjusts the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage, including: The initial de-icing voltage is set based on the length and wire diameter of the de-icing line, and the real-time power is calculated based on the initial de-icing voltage and the newly acquired first de-icing current data. The ambient temperature and the radius of the icing line are detected, and the de-icing time is predicted based on the real-time power combined with the ambient temperature and the radius of the icing line. Based on the melting time, the adjustment coefficient of the initial melting voltage is determined using the melting voltage database, and the initial melting voltage is adjusted based on the adjustment coefficient to obtain the target melting voltage.

3. The method for monitoring and recording transformer de-icing data as described in claim 2, characterized in that: The control unit collects initial branch current and branch voltage data from each slave device and feeds them back to the master device. Simultaneously, it collects the first initial de-icing current data, including: The host and each slave acquire analog current based on the initial sampling frequency, and perform multi-level filtering on the analog current to obtain the multi-level filtered analog current. The multi-level filtering includes hardware-level filtering and software-level filtering. The hardware-level filtering uses a resistor-capacitor low-pass filter circuit, and the software-level filtering uses a sliding window mean filtering algorithm. The current ambient temperature is calculated using the Steinhardt-Hart equation, and the temperature compensation coefficient and temperature change are determined based on the current ambient temperature. Based on the temperature compensation coefficient and the temperature change, a corrected analog-to-digital conversion reference value is determined, and based on the corrected analog-to-digital conversion reference value and the current analog quantity after multi-level filtering, the first initial de-icing current data, the second initial de-icing current data, and the initial branch current data are determined.

4. The method for monitoring and recording transformer de-icing data as described in claim 3, characterized in that: The line anomaly monitoring based on the collected current and voltage data includes: A first preset threshold is determined, and abnormal branch current data are determined based on the comparison result between the branch current data and the first preset threshold. Calculate the difference between the first and second de-icing current data, and determine the abnormal data of the de-icing line based on the comparison result of the difference and the second preset threshold. Abnormal branch voltage data are determined based on the comparison results between the branch voltage data and the third preset threshold. The results of line anomaly monitoring are determined based on abnormal data of branch current, abnormal data of de-icing lines, and abnormal data of branch voltage.

5. The method for monitoring and recording transformer de-icing data as described in claim 4, characterized in that: The step of calculating and determining the adjusted sampling frequency based on the characteristic frequency includes: Perform fast Fourier transform spectral analysis on the initial current data to obtain the target spectrum; The harmonic frequency and fundamental frequency are determined based on the target spectrum, and the sampling frequency is adjusted based on the harmonic frequency and the fundamental frequency. The expression for adjusting the sampling frequency is: ； in, To adjust the sampling frequency, For safety reasons, To find the maximum value function, For harmonic frequencies, This is the frequency offset. This is the fundamental frequency.

6. The method for monitoring and recording transformer de-icing data as described in claim 5, characterized in that: The expression for the real-time power is: ； in, U represents the real-time power, U represents the initial melting voltage, and I represents the first melting current data. The expression for the ice melting time is: ； in, For the duration of ice melting, The specific heat capacity of ice. This is the melting temperature of ice. The current ambient temperature. The radius of the icing line. The original radius of the conductor. The cross-sectional area of ​​a pure ice layer per unit length. This represents real-time power.

7. The method for monitoring and recording transformer de-icing data as described in claim 6, characterized in that: Determining the first preset threshold includes: Calculate the current and voltage data of the three sequence networks, and determine the three-phase voltage and three-phase current based on the current and voltage data of the three sequence networks; The power network is simulated using the three-phase voltage and three-phase current based on simulation software to obtain simulation results, and a first preset threshold is determined based on the simulation results.

8. A system for monitoring and recording transformer de-icing data, employing the method for monitoring and recording transformer de-icing data as described in any one of claims 1-7, characterized in that, include: The generation module is used to send data acquisition instructions from the host to several slave terminals, control each slave terminal to acquire initial branch current data and branch voltage data and feed them back to the host terminal, and simultaneously acquire first initial de-icing current data. The host terminal generates initial current data based on the first initial de-icing current data, the second initial de-icing current data fed back by each slave terminal and the initial branch current data. The sampling frequency dynamic adjustment module is used by the host to perform spectrum analysis on the initial current data, extract characteristic frequencies, and calculate and determine the adjustment sampling frequency based on the characteristic frequencies. The host and each slave end use the adjusted sampling frequency to re-collect the first de-icing current data corresponding to the host end and the second de-icing current data of each slave end. The voltage regulation module is used by the host to predict the de-icing time based on the first de-icing current data, the detected ambient temperature, and the radius of the iced line, and to adjust the initial de-icing voltage based on the de-icing time to obtain the target de-icing voltage. The data storage module is used by the host to generate event logs based on the collected current and voltage data for line anomaly monitoring, and to encrypt and package the event logs, target de-icing voltage, and current and voltage data for storage.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for monitoring and recording transformer de-icing data according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for monitoring and recording transformer de-icing data according to any one of claims 1 to 7.

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