Overload early warning method of distribution transformer, electronic equipment and storage medium

Abstract

The invention provides an overload early warning method of a distribution transformer, electronic equipment and a storage medium. The method comprises the steps that real-time load data of the distribution transformer are acquired, and the real-time load data are used for representing load voltage and load current corresponding to the distribution transformer; in response to the fact that the real-time load data is larger than or equal to a preset fixed threshold value, an initial overload early warning signal corresponding to the distribution transformer is generated, and the initial overload early warning signal is used for representing a preliminary judgment result for whether the distribution transformer has a heavy overload risk or not; adjusting a preset fixed threshold value to obtain a target dynamic threshold value; and correcting the initial overload early warning signal by using the target dynamic threshold to obtain a target overload early warning signal which is used for indicating that the distribution transformer has a heavy overload risk. According to the invention, the technical problems of low accuracy and poor flexibility of the overload early warning method of the distribution transformer provided in the prior art are solved.

Description

Technical Field

[0001] The present disclosure relates to the field of power system monitoring and early warning, and in particular to an overload early warning method, electronic equipment and storage medium for a distribution transformer. Background Art

[0002] With the development of social economy and the improvement of people's living standards, the demand for electricity continues to grow, which puts higher requirements on the safe and stable operation of the power grid. As one of the key equipment connecting the transmission network and the user end, the distribution transformer plays an important role in ensuring the quality of power supply. The overload warning method of the distribution transformer in the related art mainly relies on the rule-based warning strategy, that is, using the real-time load data of the distribution transformer to compare the actual load value with the preset fixed threshold of the rated capacity to determine whether there is an overload risk. However, the overload warning method of the distribution transformer provided in the related art has the problems of low warning accuracy and poor flexibility, which makes it difficult to effectively cope with the complex and changeable operating environment.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present disclosure provide an overload warning method for a distribution transformer, an electronic device, and a storage medium, so as to at least solve the technical problems of low accuracy and poor flexibility of the overload warning method for a distribution transformer provided in the related art.

[0005] According to one aspect of an embodiment of the present disclosure, there is provided an overload warning method for a distribution transformer, comprising: acquiring real-time load data of the distribution transformer, wherein the real-time load data is used to represent the load voltage and load current corresponding to the distribution transformer; in response to the real-time load data being greater than or equal to a preset fixed threshold, generating an initial overload warning signal corresponding to the distribution transformer, wherein the initial overload warning signal is used to represent a preliminary judgment result on whether there is a risk of severe overload in the distribution transformer; adjusting the preset fixed threshold to obtain a target dynamic threshold; and using the target dynamic threshold to correct the initial overload warning signal to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that there is a risk of severe overload in the distribution transformer.

[0006] Optionally, adjusting the preset fixed threshold to obtain the target dynamic threshold includes: obtaining the real-time operating parameters of the distribution transformer; screening the real-time operating parameters to obtain the target operating parameters; obtaining the adjustment coefficient of the target operating parameters and the influence degree value of the target operating parameters; determining the risk coefficient of the target operating parameters based on the adjustment coefficient and the influence degree value, wherein the risk coefficient is used to indicate the influence degree of the target operating parameters on the heavy overload risk; and determining the target dynamic threshold based on the adjustment coefficient, the risk coefficient and the preset fixed threshold.

[0007] Optionally, obtaining the adjustment coefficient of the target operating parameter includes: obtaining baseline data and real-time data of the target operating parameter; determining the target data difference based on the baseline data and the real-time data; and determining the adjustment coefficient using the target data difference and a weight coefficient of the target operating parameter.

[0008] Optionally, obtaining the influence degree value of the target operating parameter includes: obtaining historical operating data of the target operating parameter within a preset time period; and determining the influence degree value based on the historical operating data and benchmark data.

[0009] Optionally, the target dynamic threshold is used to correct the initial overload warning signal to obtain the target overload warning signal, including: comparing the target dynamic threshold with the real-time load data to obtain a comparison result; in response to determining that the real-time load data is greater than or equal to the target dynamic threshold based on the comparison result, the initial overload warning signal is corrected to obtain the target overload warning signal.

[0010] Optionally, the overload warning method for the distribution transformer in the embodiment of the present disclosure also includes: generating overload warning prompt information based on the target overload warning signal, wherein the overload warning prompt information is used to prompt the target user of the risk of severe overload; and pushing the warning prompt information to the target user using a graphical user interface and / or an audio device.

[0011] Optionally, the overload warning method for the distribution transformer in the embodiment of the present disclosure also includes: obtaining warning associated information of the target overload warning signal, wherein the warning associated information is used to represent the time information, location information and real-time load data corresponding to the target overload warning signal; and storing the warning associated information in the target database.

[0012] According to another aspect of an embodiment of the present disclosure, an overload warning device for a distribution transformer is also provided, including: an acquisition module, used to acquire real-time load data of the distribution transformer, wherein the real-time load data is used to represent the load voltage and load current corresponding to the distribution transformer; a generation module, used to generate an initial overload warning signal corresponding to the distribution transformer in response to the real-time load data being greater than or equal to a preset fixed threshold, wherein the initial overload warning signal is used to represent a preliminary judgment result on whether there is a risk of severe overload in the distribution transformer; a processing module, used to adjust the preset fixed threshold to obtain a target dynamic threshold; a correction module, used to correct the initial overload warning signal using the target dynamic threshold to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that there is a risk of severe overload in the distribution transformer.

[0013] Optionally, the processing module is also used to: obtain the real-time operating parameters of the distribution transformer; screen and process the real-time operating parameters to obtain target operating parameters; obtain the adjustment coefficient of the target operating parameters and the influence degree value of the target operating parameters; determine the risk coefficient of the target operating parameters based on the adjustment coefficient and the influence degree value, wherein the risk coefficient is used to indicate the influence degree of the target operating parameters on the heavy overload risk; determine the target dynamic threshold based on the adjustment coefficient, the risk coefficient and the preset fixed threshold.

[0014] Optionally, the processing module is also used to: obtain the adjustment coefficient of the target operating parameter, including: obtaining the baseline data and real-time data of the target operating parameter; determining the target data difference based on the baseline data and the real-time data; and determining the adjustment coefficient using the target data difference and the weight coefficient of the target operating parameter.

[0015] Optionally, the processing module is further used to: obtain historical operating data of the target operating parameter within a preset time period; and determine the impact degree value based on the historical operating data and the benchmark data.

[0016] Optionally, the correction module is also used to: use the target dynamic threshold to correct the initial overload warning signal, and obtain the target overload warning signal including: using the target dynamic threshold to compare and process the real-time load data to obtain a comparison result; in response to determining that the real-time load data is greater than or equal to the target dynamic threshold based on the comparison result, correct the initial overload warning signal to obtain the target overload warning signal.

[0017] According to another aspect of an embodiment of the present disclosure, an electronic device is also provided, including: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement the overload warning method for the distribution transformer in the embodiment of the present disclosure.

[0018] According to another aspect of an embodiment of the present disclosure, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the overload warning method for the distribution transformer in the embodiment of the present disclosure.

[0019] According to another aspect of the embodiments of the present disclosure, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the overload warning method for the distribution transformer in the embodiments of the present disclosure is implemented.

[0020] In the embodiments of the present disclosure, by acquiring real-time load data of the distribution transformer, in response to the real-time load data being greater than or equal to a preset fixed threshold, an initial overload warning signal corresponding to the distribution transformer is generated, and then the preset fixed threshold is adjusted to obtain a target dynamic threshold, and finally the initial overload warning signal is corrected using the target dynamic threshold to obtain a target overload warning signal, thereby achieving the purpose of enhancing the adaptability of the overload warning of the distribution transformer and reducing false alarms and missed alarms, thereby achieving the technical effect of improving the accuracy and flexibility of the overload warning of the distribution transformer, and thus solving the technical problems of low accuracy and poor flexibility of the overload warning method of the distribution transformer provided in the related art. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present disclosure and constitute a part of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure. In the drawings:

[0022] Figure 1 is a flow chart of an overload warning method for a distribution transformer according to one embodiment of the present disclosure;

[0023] Figure 2 It is a structural block diagram of an overload warning device for a distribution transformer according to one embodiment of the present disclosure. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present disclosure, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present disclosure.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0026] The overload warning method for distribution transformers in the related art mainly relies on a rule-based warning strategy, that is, using the real-time load data of the distribution transformer to determine whether there is an overload risk by comparing the actual load value with the preset fixed threshold of the rated capacity. However, the overload warning method for distribution transformers provided in the related art has the problems of low warning accuracy and poor flexibility, which makes it difficult to effectively cope with complex and changeable operating environments.

[0027] Specifically, rule-based early warning strategies often use fixed thresholds as judgment criteria, ignoring the influence of various complex factors on the operation of distribution transformers, such as temperature, humidity, oil level, vibration and noise. The above factors have different degrees of influence on the overload risk of transformers under different conditions, which makes the early warning system of distribution transformers prone to misjudgment when facing complex operating environments, that is, issuing false alarms under instantaneous overload conditions that the transformer can actually withstand, or failing to issue timely warnings when the transformer faces overload risks, thereby affecting the accuracy of early warnings. At the same time, rule-based early warning strategies cannot adjust themselves according to the real-time operating parameters and historical data of distribution transformers. In the operation of power systems, historical information such as fluctuations in instantaneous loads, aging of equipment, and overload events that have occurred in the past are all important references for judging current overload risks. The fixed threshold early warning method ignores the above dynamic information, which makes the early warning system of distribution transformers unable to timely and accurately assess overload risks when dealing with instantaneous overloads, equipment aging, or changes in operating conditions, thereby limiting the flexibility and response efficiency of the system.

[0028] According to an embodiment of the present disclosure, a method embodiment of an overload warning method for a distribution transformer is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] The method embodiment can be executed in an electronic device or a similar computing device including a memory and a processor. Taking running on a computer terminal as an example, the computer terminal may include one or more processors (processors may include but are not limited to central processing units (CPU), graphics processing units (GPU), digital signal processing (DSP) chips, microprocessors (MCU), programmable logic devices (Field Programmable Gate Array, FPGA), neural network processors (Neural-network Processor Unit, NPU), tensor processors (TensorProcessing Unit, TPU), artificial intelligence (Artificial Intelligence, AI) type processors and other processing devices) and a memory for storing data. Optionally, the above-mentioned computer terminal may also include a transmission device, an input and output device, and a display device for communication functions. It can be understood by those of ordinary skill in the art that the above-mentioned structural description is only for illustration, and it does not limit the structure of the above-mentioned computer terminal. For example, the computer terminal may also include more or fewer components than the above-mentioned structural description, or have a configuration different from the above-mentioned structural description.

[0030] The memory can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the overload warning method for the distribution transformer in the embodiment of the present disclosure. The processor executes various functional applications and data processing by running the computer program stored in the memory, that is, the overload warning method for the distribution transformer described above is realized. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0031] The transmission device is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0032] The display device may be, for example, a touch screen type liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display may enable a user to interact with a user interface of a mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), and a user may interact with the GUI by finger contacts and / or gestures on a touch-sensitive surface, wherein the human-computer interaction functions here may optionally include the following interactions: creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music and / or web browsing, etc. The executable instructions for executing the above human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.

[0033] Figure 1 is a flow chart of an overload warning method for a distribution transformer according to one embodiment of the present disclosure, such as Figure 1 As shown, the method comprises the following steps:

[0034] Step S11, acquiring real-time load data of the distribution transformer, wherein the real-time load data is used to represent the load voltage and load current corresponding to the distribution transformer;

[0035] Step S12, in response to the real-time load data being greater than or equal to a preset fixed threshold, generating an initial overload warning signal corresponding to the distribution transformer, wherein the initial overload warning signal is used to indicate a preliminary judgment result on whether there is a heavy overload risk for the distribution transformer;

[0036] Step S13, adjusting the preset fixed threshold to obtain a target dynamic threshold;

[0037] Step S14, using the target dynamic threshold to correct the initial overload warning signal to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that the distribution transformer has a heavy overload risk.

[0038] The above-mentioned real-time load data refers to the specific values ​​of the load voltage and load current actually carried by the distribution transformer at a certain moment or in a continuous period of time. The real-time load data is collected by current transformers, voltage transformers, and smart meters installed on the high-voltage and low-voltage sides of the transformer, and after being digitally processed by the data acquisition device, it is transmitted to the central monitoring system in real time through the communication network and stored in its database. Real-time load data is the basis for evaluating the current operating status of the distribution transformer, providing the early warning system with instant power load information, and is the basis for determining whether the transformer is facing an overload risk.

[0039] The above-mentioned preset fixed threshold refers to a static standard value for determining overload risk that is artificially preset in the distribution transformer overload warning system according to the rated capacity and design safety margin of the distribution transformer. In practical applications, the preset fixed threshold is usually set to a certain proportion of the rated capacity of the distribution transformer, such as 80% or higher. Once the load voltage and load current actually carried by the monitored distribution transformer reach or exceed the preset fixed threshold, the distribution transformer early warning system will trigger the early warning mechanism and generate an initial overload early warning signal to warn that the distribution transformer may be facing the risk of overload or severe overload.

[0040] The above-mentioned correction processing refers to the process of fine-tuning and optimizing the initial overload warning signal that is initially generated. Its goal is to improve the accuracy of the warning signal and ensure that the warning system can more accurately reflect the actual overload risk of the distribution transformer under specific environmental and operating conditions.

[0041] For example, it is assumed that the rated capacity of the distribution transformer is set to 1000kVA, and the preset fixed threshold is 80% of the rated capacity, that is, 800kVA. At a certain moment, the real-time load data recorded by the monitoring equipment shows that the load voltage is 11kV and the load current is 51A. Based on the load voltage and load current, the actual load of the current distribution transformer is calculated to be 851kVA, which exceeds the preset fixed threshold. The distribution transformer overload warning system immediately generates an initial overload warning signal corresponding to the distribution transformer, indicating that the distribution transformer is at risk of severe overload at this time. Further, the preset fixed threshold is adjusted to obtain a target dynamic threshold of 815kVA. The real-time load data 851kVA is still higher than the dynamic threshold 815kVA, and the distribution transformer warning system immediately generates a target overload warning signal, indicating that the distribution transformer is in a state of severe overload risk.

[0042] Based on the above steps S11 to S14, by acquiring the real-time load data of the distribution transformer, in response to the real-time load data being greater than or equal to the preset fixed threshold, an initial overload warning signal corresponding to the distribution transformer is generated, and then the preset fixed threshold is adjusted to obtain the target dynamic threshold, and finally the initial overload warning signal is corrected using the target dynamic threshold to obtain the target overload warning signal, thereby achieving the purpose of enhancing the adaptability of the overload warning of the distribution transformer and reducing false alarms and missed alarms, thereby achieving the technical effect of improving the accuracy and flexibility of the overload warning of the distribution transformer, and thus solving the technical problems of low accuracy and poor flexibility of the overload warning method of the distribution transformer provided in the related art.

[0043] Optionally, in step S13, adjusting the preset fixed threshold to obtain the target dynamic threshold includes:

[0044] Step S131, obtaining real-time operating parameters of the distribution transformer;

[0045] Step S132, screening the real-time operating parameters to obtain target operating parameters;

[0046] Step S133, obtaining the adjustment coefficient of the target operating parameter and the influence degree value of the target operating parameter;

[0047] Step S134, determining a risk coefficient of the target operating parameter based on the adjustment coefficient and the influence degree value, wherein the risk coefficient is used to indicate the influence degree of the target operating parameter on the heavy overload risk;

[0048] Step S135, determining a target dynamic threshold value according to the adjustment coefficient, the risk coefficient and the preset fixed threshold value.

[0049] The above-mentioned real-time operating parameters refer to a series of data indicators that reflect the current working status and environmental conditions of the distribution transformer, which are monitored and collected in real time during its operation, including but not limited to oil temperature, ambient temperature, oil level, winding temperature, humidity, vibration and noise level. Among them, oil temperature and winding temperature reflect the thermal stress inside the distribution transformer; ambient temperature and humidity are important reflections of the impact of the external environment on the operation of the distribution transformer. The increase in ambient temperature will reduce the cooling efficiency of the distribution transformer, while high humidity may penetrate into the distribution transformer, affecting the insulation performance and increasing the risk of short circuit and overload; the oil level reflects the amount of oil inside the distribution transformer tank. Insufficient oil will directly affect the cooling effect and insulation performance, and increase the risk of overheating and electrical failure; the vibration parameters reflect the state of the distribution transformer during operation. Abnormal vibration may indicate a fault in the internal structure or instability in the external installation, prompting maintenance personnel to check whether there are loose components, wear or other potential problems.

[0050] For example, by installing temperature sensors inside and outside the distribution transformer, the oil temperature, winding temperature and ambient temperature are monitored; by installing humidity sensors around the transformer, the ambient humidity is monitored; by installing oil level sensors in the transformer oil tank, the oil level is monitored; by installing vibration sensors on the transformer casing, the vibration of the transformer is monitored; by installing noise sensors near the transformer, the noise generated during the operation of the transformer is monitored.

[0051] The above-mentioned screening process refers to identifying and retaining those parameters that have a significant impact on the heavy overload risk assessment, namely, the target operating parameters, from the operating parameters collected in real time from the distribution transformer through the set weight threshold.

[0052] For example, based on the expert knowledge and statistical analysis of the power industry, a weight is first assigned to each real-time operating parameter, and the weight reflects the relative importance of the parameter to the risk of transformer overload; then, by comparing the weight of each parameter with a preset weight threshold, parameters whose weights exceed the threshold are retained, and parameters whose weights do not reach the threshold are eliminated, ensuring that the distribution transformer early warning system can centrally process the real-time operating parameters that have a decisive effect on the overload situation, avoiding waste of resources and potential risks of misjudgment due to processing of irrelevant data.

[0053] For example, high temperature will increase the thermal stress of the distribution transformer, which may easily lead to overheating of the distribution transformer or aging of the insulation material, thereby increasing the risk of heavy overload; under high humidity conditions, moisture in the air may penetrate into the distribution transformer, reduce the insulation performance, and increase the risk of short circuit; low oil level will affect the heat dissipation performance of the distribution transformer, causing the temperature to rise; abnormal vibration will easily lead to local overheating or other failures of the distribution transformer, increasing the risk of heavy overload. According to the analysis results, combined with the experience of power industry experts, each of the above operating parameters is assigned a weight; then the statistical method is used to calculate the average or median of the weights of all operating parameters, multiplied by a multiple such as 1.5 or 2, to obtain the weight threshold, and finally the weight threshold is used to determine the weight of each of the above operating parameters to select the operating parameters to be retained or eliminated.

[0054] The above adjustment coefficient is used to quantify the degree to which the real-time operating parameters deviate from their normal range, and the specific impact of the deviation on the risk of heavy overload of the distribution transformer. By calculating and applying the adjustment coefficient of the target operating parameter, the early warning system can dynamically adjust the early warning threshold to make it more suitable for the current actual operating conditions of the distribution transformer, thereby improving the accuracy and timeliness of the early warning and avoiding unnecessary false alarms or omissions.

[0055] The above risk coefficient reflects the influence of the retained real-time operating parameters on the risk of heavy overload of distribution transformers. Specifically, the calculation of the risk coefficient is based on two key factors: the adjustment coefficient of the target operating parameters and the influence value.

[0056] Exemplarily, the risk factor of the target operating parameter may be determined by the calculation process shown in Formula 1:

[0057] R i =I i +C i Formula 1

[0058] Among them, R i is the risk factor of the i-th target operating parameter; I i is the influence value of the i-th target operating parameter; C i The adjustment coefficient for the parameters of the i-th target operation.

[0059] Exemplarily, according to the adjustment coefficient of the target operating parameter, the risk coefficient and the preset fixed threshold, the target dynamic threshold can be determined by the calculation process shown in Formula 2:

[0060]

[0061] Among them, T dynamic is the dynamic threshold; T fixed is the preset fixed threshold; R i is the risk factor of the i-th target operating parameter; C i is the adjustment coefficient of the i-th target operating parameter; m is the number of target operating parameters.

[0062] Based on the above optional embodiments, by acquiring the real-time operating parameters of the distribution transformer and screening the real-time operating parameters, the target operating parameters are obtained, and then the adjustment coefficient of the target operating parameters and the influence degree value of the target operating parameters are obtained. Finally, the risk coefficient of the target operating parameter is determined based on the adjustment coefficient and the influence degree value, and the target dynamic threshold is determined according to the adjustment coefficient, the risk coefficient and the preset fixed threshold. The limitations of the fixed threshold warning method are overcome, so that the distribution transformer warning system can more accurately identify potential heavy overload risks, reduce false alarms and missed alarms, thereby improving the accuracy and flexibility of the distribution transformer heavy overload warning.

[0063] Optionally, obtaining the adjustment coefficient of the target operating parameter includes: obtaining baseline data and real-time data of the target operating parameter; determining the target data difference based on the baseline data and the real-time data; and determining the adjustment coefficient using the target data difference and a weight coefficient of the target operating parameter.

[0064] Exemplarily, the adjustment coefficient of the target operating parameter may be determined by the calculation process shown in Formula 3:

[0065]

[0066] Among them, C iis the adjustment coefficient of the i-th target operating parameter; w i is the weight coefficient of the i-th target operating parameter; Δ i =R i -B i , Δ i is the target data difference of the i-th target operating parameter; R i B is the real-time data of the operating parameters of the i-th target; i is the benchmark data of the i-th target operating parameters; α, β, and γ are pre-set constants.

[0067] Based on the above optional embodiments, the adjustment coefficient is determined by using the target data difference and the weight coefficient of the target operating parameter, so that the operating status of the distribution transformer can be accurately quantified, thereby more effectively assessing its heavy overload risk and improving the accuracy of the heavy overload warning.

[0068] Optionally, obtaining the influence degree value of the target operating parameter includes: obtaining historical operating data of the target operating parameter within a preset time period; and determining the influence degree value based on the historical operating data and benchmark data.

[0069] Exemplarily, combined with the adjustment coefficient of the target operating parameter, the influence of each operating parameter on the heavy overload risk is further analyzed to obtain the risk coefficient of the adjustment coefficient of the target operating parameter, and then the historical operating data of the target operating parameter in the past month is obtained to obtain the mean, standard deviation, maximum value and minimum value of the historical operating data of the target operating parameter in the past month. Further, based on the above parameters and the benchmark data of the target operating parameter, the influence degree value of the target operating parameter is obtained.

[0070] Exemplarily, the influence degree value of the target operating parameter can be determined by the calculation process shown in Formula 4:

[0071]

[0072] Among them, I i is the influence value of the i-th target operating parameter; Max i is the maximum value of the historical operating data of the i-th target operating parameter in the past month; Min i B is the minimum value of the historical operating data of the i-th target operating parameter in the past month; i Benchmark data for the operating parameters of the i-th target; is the average value of the historical operating data of the i-th target operating parameter in the past month; is the standard deviation of the historical operating data of the ith target operating parameter in the past month; H ijis the historical operation data of the i-th target operation parameter at the j-th time point in the past month; n is the number of historical operation data points in the past month; δ and ε are pre-set constants.

[0073] Based on the above optional embodiments, the impact degree value is determined by the historical operating data and benchmark data of the target operating parameters within a preset time period, which can reflect the changing trend, fluctuation degree and degree of deviation from the benchmark state of the target operating parameters within a specific time period, thereby quantifying the long-term impact of the target operating parameters on the heavy overload risk.

[0074] Optionally, in step S14, the initial overload warning signal is corrected using the target dynamic threshold value to obtain the target overload warning signal, including:

[0075] Step S141, using the target dynamic threshold to compare with the real-time load data to obtain a comparison result;

[0076] Step S142, in response to determining that the real-time load data is greater than or equal to the target dynamic threshold based on the comparison result, the initial overload warning signal is corrected to obtain a target overload warning signal.

[0077] The above-mentioned correction processing refers to adjusting or confirming the accuracy of the overload warning signal based on the preliminary determination of the overload risk of the distribution transformer, further comparing the target dynamic threshold with the real-time load data, so as to ensure the reliability and effectiveness of the warning information.

[0078] For example, the real-time load data of the current distribution transformer is first read from the central monitoring system, and then the real-time load data is compared with the target dynamic threshold. If the real-time load data is greater than or equal to the target dynamic threshold, it is confirmed that there is a heavy overload risk and a target overload warning signal is generated; if the real-time load data is less than the target dynamic threshold, it is considered that there is no heavy overload risk and the initial overload warning signal is cancelled.

[0079] Based on the above optional embodiments, when the real-time load data is greater than or equal to the target dynamic threshold, the initial overload warning signal is corrected to obtain a target overload warning signal, which can more accurately identify the risk of heavy overload and avoid unnecessary false alarms under instantaneous high loads or atypical operating conditions. At the same time, it can also ensure that when there is a real risk of heavy overload, it will not be missed due to improper threshold setting, thereby improving the accuracy and reliability of the distribution transformer early warning system.

[0080] Optionally, the overload warning method for the distribution transformer in the embodiment of the present disclosure also includes: generating overload warning prompt information based on the target overload warning signal, wherein the overload warning prompt information is used to prompt the target user of the risk of severe overload; and pushing the warning prompt information to the target user using a graphical user interface and / or an audio device.

[0081] The above-mentioned overload warning prompt information includes but is not limited to sound and light alarms, which display a red alarm prompt on the monitoring interface accompanied by a sound alarm; SMS notifications, which send SMS notifications to maintenance personnel to inform them of the specific circumstances of the heavy overload risk; email notifications, which send emails to relevant management personnel to detail the circumstances of the heavy overload risk and recommended measures; and log recording, which records the warning information in a log file for subsequent analysis and tracing.

[0082] For example, when it is detected that the real-time load data is higher than the target dynamic threshold, the distribution transformer early warning system generates a target overload warning signal and immediately starts a series of early warning prompt information generation and push mechanisms to ensure that relevant users can receive and respond to the distribution transformer overload in a timely manner. First, a striking red alarm prompt is displayed on the graphical user interface of the central monitoring system, and a continuous alarm sound is emitted through the connected audio device to remind the operators in the monitoring room that the distribution transformer may be in a heavy overload state and immediate measures need to be taken. At the same time, a text message notification is sent to the pre-set maintenance personnel's mobile terminal. The text message content contains the specific location, ID number, real-time load data and time information of the distribution transformer triggering the warning, ensuring that the maintenance team can quickly locate the problem distribution transformer and go to the site for inspection and preliminary processing in time. Secondly, a detailed email is sent to the key technical and management personnel of the power company to provide the specific situation of the distribution transformer heavy overload risk, and based on historical data analysis and expert advice, possible causes of failure and preventive measures are proposed to help managers quickly understand the situation and make corresponding decision support.

[0083] Based on the above optional embodiments, a diversified, multi-channel early warning information push mechanism is used to ensure timely communication and effective processing of information, thereby providing rapid response and precise positioning capabilities when facing power grid security challenges, helping power companies maintain the stable operation of the power grid, prevent potential power accidents, protect power equipment, and reduce economic losses.

[0084] Optionally, the overload warning method for the distribution transformer in the embodiment of the present disclosure also includes: obtaining warning associated information of the target overload warning signal, wherein the warning associated information is used to represent the time information, location information and real-time load data corresponding to the target overload warning signal; and storing the warning associated information in the target database.

[0085] For example, when the target overload warning signal is triggered, the central monitoring system responds immediately, obtains an accurate timestamp from its internal clock, and records the specific time when the target overload warning signal occurs. At the same time, through the integrated geographic information system, the geographical location coordinates of the distribution transformer are accurately identified and extracted to ensure the rapid positioning of subsequent maintenance actions. In addition, the central monitoring system also obtains the load data of the distribution transformer in real time, including key indicators such as voltage and current, reflecting the operating status of the distribution transformer at the time of triggering the warning, providing a direct basis for fault analysis. Subsequently, the above-mentioned warning-related information is encapsulated into a data packet and transmitted to the target database through the secure communication link between the central monitoring system and the target database. After the data packet arrives at the target database, it will be properly stored and classified and recorded so that the maintenance team, technical analysts and management can call the warning-related information at any time for fault diagnosis, operation analysis or maintenance plan formulation as needed.

[0086] Based on the above optional embodiments, by obtaining the warning-related information of the target overload warning signal and storing the warning-related information in the target database, it is possible to achieve a comprehensive record and in-depth analysis of the operating status of the distribution transformer, thereby improving the maintenance efficiency and decision-making quality of the power system.

[0087] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present disclosure, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present disclosure.

[0088] In the embodiments of the present disclosure, an overload warning device for a distribution transformer is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0089] Figure 2 is a structural block diagram of an overload warning device for a distribution transformer according to one embodiment of the present disclosure, such as Figure 2 As shown, the device comprises:

[0090] An acquisition module 201 is used to acquire real-time load data of a distribution transformer, wherein the real-time load data is used to represent a load voltage and a load current corresponding to the distribution transformer;

[0091] A generating module 202 is used to generate an initial overload warning signal corresponding to the distribution transformer in response to the real-time load data being greater than or equal to a preset fixed threshold, wherein the initial overload warning signal is used to indicate a preliminary judgment result on whether there is a heavy overload risk for the distribution transformer;

[0092] The processing module 203 is used to adjust the preset fixed threshold to obtain a target dynamic threshold;

[0093] The correction module 204 is used to correct the initial overload warning signal using the target dynamic threshold to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that the distribution transformer has a heavy overload risk.

[0094] Optionally, the processing module 203 is also used to: obtain the real-time operating parameters of the distribution transformer; screen and process the real-time operating parameters to obtain target operating parameters; obtain the adjustment coefficient of the target operating parameters and the influence degree value of the target operating parameters; determine the risk coefficient of the target operating parameters based on the adjustment coefficient and the influence degree value, wherein the risk coefficient is used to indicate the influence degree of the target operating parameters on the heavy overload risk; determine the target dynamic threshold based on the adjustment coefficient, the risk coefficient and the preset fixed threshold.

[0095] Optionally, the processing module 203 is also used to: obtain the adjustment coefficient of the target operating parameter, including: obtaining the baseline data and real-time data of the target operating parameter; determining the target data difference based on the baseline data and the real-time data; and determining the adjustment coefficient using the target data difference and the weight coefficient of the target operating parameter.

[0096] Optionally, the processing module 203 is further used to: obtain historical operating data of the target operating parameter within a preset time period; and determine the impact degree value based on the historical operating data and the benchmark data.

[0097] Optionally, the correction module 204 is also used to: use the target dynamic threshold to correct the initial overload warning signal, and obtain the target overload warning signal including: using the target dynamic threshold to compare and process the real-time load data to obtain a comparison result; in response to determining that the real-time load data is greater than or equal to the target dynamic threshold based on the comparison result, correct the initial overload warning signal to obtain the target overload warning signal.

[0098] According to another aspect of an embodiment of the present disclosure, an electronic device is also provided, including: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement the overload warning method for the distribution transformer in the embodiment of the present disclosure.

[0099] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0100] S1, obtaining real-time load data of the distribution transformer, wherein the real-time load data is used to represent the load voltage and load current corresponding to the distribution transformer;

[0101] S2, in response to the real-time load data being greater than or equal to a preset fixed threshold, generating an initial overload warning signal corresponding to the distribution transformer, wherein the initial overload warning signal is used to indicate a preliminary judgment result on whether there is a heavy overload risk for the distribution transformer;

[0102] S3, adjusting the preset fixed threshold to obtain a target dynamic threshold;

[0103] S4, using the target dynamic threshold to correct the initial overload warning signal to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that the distribution transformer has a heavy overload risk.

[0104] According to another aspect of an embodiment of the present disclosure, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the overload warning method for the distribution transformer in the embodiment of the present disclosure.

[0105] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0106] S1, obtaining real-time load data of the distribution transformer, wherein the real-time load data is used to represent the load voltage and load current corresponding to the distribution transformer;

[0107] S2, in response to the real-time load data being greater than or equal to a preset fixed threshold, generating an initial overload warning signal corresponding to the distribution transformer, wherein the initial overload warning signal is used to indicate a preliminary judgment result on whether there is a heavy overload risk for the distribution transformer;

[0108] S3, adjusting the preset fixed threshold to obtain a target dynamic threshold;

[0109] S4, using the target dynamic threshold to correct the initial overload warning signal to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that the distribution transformer has a heavy overload risk.

[0110] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0111] According to another aspect of the embodiments of the present disclosure, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the overload warning method for the distribution transformer in the embodiments of the present disclosure is implemented.

[0112] Optionally, in this embodiment, the computer program product may be configured as a computer program for executing the following steps:

[0113] S1, obtaining real-time load data of the distribution transformer, wherein the real-time load data is used to represent the load voltage and load current corresponding to the distribution transformer;

[0114] S2, in response to the real-time load data being greater than or equal to a preset fixed threshold, generating an initial overload warning signal corresponding to the distribution transformer, wherein the initial overload warning signal is used to indicate a preliminary judgment result on whether there is a heavy overload risk for the distribution transformer;

[0115] S3, adjusting the preset fixed threshold to obtain a target dynamic threshold;

[0116] S4, using the target dynamic threshold to correct the initial overload warning signal to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that the distribution transformer has a heavy overload risk.

[0117] The serial numbers of the above-mentioned embodiments of the present disclosure are only for description and do not represent the advantages or disadvantages of the embodiments.

[0118] In the above embodiments of the present disclosure, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0119] In the several embodiments provided in the present disclosure, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0120] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0121] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0122] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0123] The above is only a preferred embodiment of the present disclosure. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present disclosure. These improvements and modifications should also be regarded as the scope of protection of the present disclosure.

Claims

1. A distribution transformer overload warning method, characterized in that: include: Acquire real-time load data of the distribution transformer, wherein the real-time load data is used to represent the load voltage and load current corresponding to the distribution transformer; In response to the real-time load data being greater than or equal to a preset fixed threshold, generating an initial overload warning signal corresponding to the distribution transformer, wherein the initial overload warning signal is used to indicate a preliminary judgment result on whether there is a heavy overload risk for the distribution transformer; Adjusting the preset fixed threshold to obtain a target dynamic threshold; The initial overload warning signal is corrected by using the target dynamic threshold to obtain a target overload warning signal, wherein the target overload warning signal is used to indicate that the distribution transformer has the heavy overload risk.

2. The overload warning method for distribution transformer according to claim 1, characterized in that: Adjusting the preset fixed threshold to obtain the target dynamic threshold includes: Obtaining real-time operating parameters of the distribution transformer; Screening the real-time operating parameters to obtain target operating parameters; Obtaining an adjustment coefficient of the target operating parameter and an influence degree value of the target operating parameter; Determining a risk coefficient of the target operating parameter based on the adjustment coefficient and the influence degree value, wherein the risk coefficient is used to indicate the influence degree of the target operating parameter on the heavy overload risk; The target dynamic threshold is determined according to the adjustment coefficient, the risk coefficient and the preset fixed threshold.

3. The overload warning method for distribution transformer according to claim 2 is characterized in that: Obtaining the adjustment coefficient of the target operating parameter includes: Acquiring baseline data and real-time data of the target operating parameters; Determine a target data difference based on the reference data and the real-time data; The adjustment coefficient is determined by using the target data difference and the weight coefficient of the target operating parameter.

4. The overload warning method for distribution transformer according to claim 3 is characterized in that: Obtaining the impact degree value of the target operating parameter includes: Obtaining historical operating data of the target operating parameter within a preset time period; The impact degree value is determined based on the historical operation data and the benchmark data.

5. The overload warning method for distribution transformer according to claim 1, characterized in that: The initial overload warning signal is corrected by using the target dynamic threshold to obtain the target overload warning signal, which includes: Comparing the target dynamic threshold with the real-time load data to obtain a comparison result; In response to determining that the real-time load data is greater than or equal to the target dynamic threshold based on the comparison result, the initial overload warning signal is corrected to obtain the target overload warning signal.

6. The overload warning method for distribution transformer according to claim 1, characterized in that: The method further comprises: generating overload warning prompt information based on the target overload warning signal, wherein the overload warning prompt information is used to prompt the target user of the heavy overload risk; The early warning information is pushed to the target user using a graphical user interface and / or an audio device.

7. The overload warning method for distribution transformer according to claim 1, characterized in that: The method further comprises: Acquire warning association information of the target overload warning signal, wherein the warning association information is used to indicate time information, location information and the real-time load data corresponding to the target overload warning signal; The warning-related information is stored in a target database.

8. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the overload warning method for the distribution transformer according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the overload warning method for the distribution transformer according to any one of claims 1 to 7.

10. A computer program product, characterized in that The computer program product comprises computer instructions, which, when executed by a processor, implement the overload warning method for a distribution transformer as claimed in any one of claims 1 to 7.

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