Oil level data verification method and device, electronic equipment and storage medium

Abstract

The invention provides an oil level data verification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring real-time monitoring data acquired by a target liquid level sensor; comparing the real-time monitoring data by adopting a preset oil level change model to obtain a comparison result; determining the deviation between the current oil level height and the preset oil level height based on the comparison result in response, and dynamically calibrating the target liquid level sensor to obtain a dynamic calibration result; and updating the preset oil level change model by using the dynamic calibration result to obtain an updating result. The oil level data verification method solves the technical problems that an oil level data verification method provided in the related technology is low in accuracy and poor in anti-interference performance.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power equipment monitoring and detection, and in particular to an oil level data verification method, device, electronic equipment and storage medium. Background Art

[0002] In the operation of power substations and industrial oil storage facilities, oil level monitoring of closed oil storage tanks is essential to maintain the normal operation of equipment such as main transformers and oil-immersed transformers. In the related technology, mechanical oil level gauges, oil mirror observation windows and other devices installed on the equipment are usually used to realize oil level data verification. Among them, the mechanical oil level gauge indicates the oil level based on the position or weight change of the mechanical parts, but it is easily affected by factors such as temperature changes, vibration and wear, resulting in inaccurate indication; the oil mirror observation window provides users with a window to directly observe the oil level, but the clarity of the observation window is easily affected by oil contamination, temperature and humidity changes and lighting conditions, making it difficult to accurately judge the oil level. In addition, the existing oil level data verification method usually does not work properly when the power supply is interrupted, which can easily lead to the loss of oil level monitoring data or measurement interruption.

[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 oil level data verification method, device, electronic device and storage medium to at least solve the technical problems of low accuracy and poor anti-interference performance of the oil level data verification method provided in the related art.

[0005] According to one aspect of an embodiment of the present disclosure, there is provided an oil level data verification method, comprising: acquiring real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine a current oil level height in a closed oil storage tank; using a preset oil level change model to compare the real-time monitoring data to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between preset monitoring data and preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height; in response to determining that there is a deviation between the current oil level height and the preset oil level height based on the comparison result, dynamically calibrating the target liquid level sensor to obtain a dynamic calibration result; and using the dynamic calibration result to update the preset oil level change model to obtain an updated result.

[0006] Optionally, a preset oil level change model is used to compare the real-time monitoring data, and the comparison results include: determining the preset oil level height corresponding to the real-time monitoring data based on the preset oil level change model; calculating the current oil level height based on the real-time monitoring data and the preset oil level height; and comparing the current oil level height with the preset oil level to obtain a comparison result.

[0007] Optionally, calculating the current oil level height based on real-time monitoring data and a preset oil level height includes: obtaining a target temperature difference, a correction coefficient of a target liquid level sensor, and a preset volume expansion coefficient, wherein the target temperature difference is used to represent the difference between the current temperature and the preset temperature; determining the current oil level height based on real-time monitoring data, a preset oil level height, preset monitoring data, a target temperature difference, a correction coefficient of a target liquid level sensor, and a preset volume expansion coefficient.

[0008] Optionally, the oil level data verification method also includes: receiving a current temperature collected by a temperature sensor; in response to the current temperature being greater than or equal to a preset temperature, calculating a temperature compensation parameter based on the current temperature and the preset temperature; and updating a model parameter of a preset oil level change model based on the temperature compensation parameter.

[0009] Optionally, the oil level data verification method further includes: obtaining a preset verification cycle; dynamically calibrating the target liquid level sensor according to the preset verification cycle to obtain a dynamic calibration result.

[0010] Optionally, the oil level data verification method further includes: in response to determining based on the comparison result that there is a deviation between the current oil level height and the preset oil level height, generating target prompt information, wherein the target prompt information is used to prompt the target user to perform maintenance inspection on the target liquid level sensor.

[0011] According to another aspect of the embodiment of the present disclosure, there is also provided an oil level data verification device, comprising: a first acquisition module, used to acquire real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in a closed oil storage tank; a comparison module, used to use a preset oil level change model to compare the real-time monitoring data to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between preset monitoring data and preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height; a first calibration module, used to dynamically calibrate the target liquid level sensor in response to determining that there is a deviation between the current oil level height and the preset oil level height based on the comparison result, to obtain a dynamic calibration result; and a first update module, used to update the preset oil level change model using the dynamic calibration result to obtain an update result.

[0012] Optionally, the comparison module is also used to: determine the preset oil level height corresponding to the real-time monitoring data based on a preset oil level change model; calculate the current oil level height based on the real-time monitoring data and the preset oil level height; compare the current oil level height with the preset oil level height to obtain a comparison result.

[0013] Optionally, the comparison module is also used to: obtain the target temperature difference, the correction coefficient of the target liquid level sensor and the preset volume expansion coefficient, wherein the target temperature difference is used to represent the difference between the current temperature and the preset temperature; determine the current oil level based on real-time monitoring data, preset oil level, preset monitoring data, target temperature difference, the correction coefficient of the target liquid level sensor and the preset volume expansion coefficient.

[0014] Optionally, the oil level data verification device also includes: a receiving module for receiving the current temperature collected by the temperature sensor; a calculation module for calculating the temperature compensation parameters based on the current temperature and the preset temperature in response to the current temperature being greater than or equal to the preset temperature; and a second updating module for updating the model parameters of the preset oil level change model based on the temperature compensation parameters.

[0015] Optionally, the oil level data verification device further includes: a second acquisition module, used to obtain a preset verification cycle; and a second calibration module, used to dynamically calibrate the target liquid level sensor according to the preset verification cycle to obtain a dynamic calibration result.

[0016] Optionally, the oil level data verification device also includes: a generation module for generating target prompt information in response to determining based on the comparison result that there is a deviation between the current oil level height and the preset oil level height, wherein the target prompt information is used to prompt the target user to perform maintenance inspection on the target liquid level sensor.

[0017] According to another aspect of an embodiment of the present disclosure, there is also provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement the oil level data verification method 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 runs, the device where the storage medium is located is controlled to execute the oil level data verification method 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 oil level data verification method in the embodiments of the present disclosure is implemented.

[0020] In the disclosed embodiment, real-time monitoring data collected by the target liquid level sensor is acquired, and a preset oil level change model is used to compare and process the real-time monitoring data. When there is a deviation between the current oil level and the preset oil level, the target liquid level sensor is dynamically calibrated. Finally, the preset oil level change model is updated using the dynamic calibration result, thereby achieving the purpose of high-precision and high-stability monitoring and calibration of the oil level of the closed oil storage tank without power outage and uninterrupted operation, thereby achieving the technical effect of improving the accuracy and anti-interference of oil level data verification, and thus solving the technical problems of low accuracy and poor anti-interference of the oil level data verification method 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 oil level data verification method according to one embodiment of the present disclosure;

[0023] Figure 2 It is a structural block diagram of an oil level data verification device 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] In the related technology, mechanical oil level gauges, oil mirror observation windows and other devices installed on the equipment are usually used to realize oil level data verification. Among them, the mechanical oil level gauge indicates the oil level based on the position or weight change of the mechanical parts, but it is easily affected by factors such as temperature changes, vibration and wear, resulting in inaccurate indication; the oil mirror observation window provides users with a window to directly observe the oil level, but the clarity of the observation window is easily affected by oil contamination, temperature and humidity changes and lighting conditions, making it difficult to accurately judge the oil level. In addition, the existing oil level data verification method usually does not work properly when the power supply is interrupted, which can easily lead to the loss of oil level monitoring data or measurement interruption, making it difficult to ensure the safe operation of power equipment.

[0027] Specifically, the structure and working principle of the mechanical oil level gauge make it extremely sensitive to environmental factors such as temperature changes, vibration, wear and corrosion. Temperature fluctuations will cause changes in the volume of the oil, which in turn affects the reading of the oil level gauge, while long-term vibration and wear may cause displacement or damage to mechanical parts. Under the combined effect of the above factors, the accuracy of the indication of the mechanical oil level gauge will be greatly reduced, and it is difficult to truly reflect the actual state of the oil level inside the oil storage tank. The oil mirror observation window provides operators with a way to directly observe the oil level. However, the clarity of the observation window will be affected by oil contamination, temperature and humidity changes, and lighting conditions. Impurities and moisture in the oil will cause the observation window to blur and reduce the clarity of observation; rapid changes in temperature and humidity may cause condensation on the surface of the observation window, affecting the visual effect; in addition, unstable lighting conditions will also interfere with the operator's accurate judgment of the oil level.

[0028] Furthermore, because the oil level monitoring system usually requires external power support, the existing oil level data verification method cannot work properly when the power supply is interrupted. Once the main power supply is interrupted, both the mechanical oil level gauge and the supporting monitoring system of the oil mirror observation window may stop operating, resulting in loss of oil level monitoring data or measurement interruption. This intermittent monitoring not only fails to provide continuous oil level status, but also may not be able to obtain accurate oil level information immediately after power is restored, thus affecting the operation judgment and safety management of power equipment. In the power system, monitoring interruption may lead to misjudgment of the equipment's operating status, which in turn poses potential risks to the overall stability and safety of the power grid or industrial facilities.

[0029] According to an embodiment of the present disclosure, a method embodiment of an oil level data verification method 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.

[0030] 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.

[0031] 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 oil level data verification method 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 above-mentioned oil level data verification method 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 examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can 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.

[0032] 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.

[0033] 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.

[0034] Figure 1 is a flow chart of an oil level data verification method according to one embodiment of the present disclosure, such as Figure 1 As shown, the method comprises the following steps:

[0035] Step S11, acquiring real-time monitoring data collected by the target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in the closed oil storage tank;

[0036] Step S12, using a preset oil level change model to compare the real-time monitoring data to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between the preset monitoring data and the preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height;

[0037] Step S13, in response to determining based on the comparison result that there is a deviation between the current oil level and the preset oil level, dynamically calibrating the target liquid level sensor to obtain a dynamic calibration result;

[0038] Step S14: using the dynamic calibration result to update the preset oil level change model to obtain an updated result.

[0039] The target liquid level sensor is a non-contact liquid level sensor, which is used to monitor the change of the oil level in the closed oil storage tank in real time and at a long distance, avoiding the safety problems and measurement errors that may be caused by traditional contact sensors. Specifically, the non-contact liquid level sensor includes but is not limited to electromagnetic induction sensors, radar wave sensors, ultrasonic sensors, optical sensors, capacitive sensors, and microwave sensors.

[0040] Exemplarily, first, the probe of the non-contact liquid level sensor is installed on a UAV platform, and the platform is used to approach the outer wall of the closed oil storage tank at a safe distance. Alternatively, the non-contact liquid level sensor probe is installed at the end of an insulating rod, so that the operator can bring the sensor probe close to the outer wall of the closed oil storage tank through the insulating rod at a safe distance away from electric and magnetic field interference; then, the fluctuation excitation device is started to generate liquid fluctuations of a predetermined frequency and amplitude at the bottom or side wall of the oil storage tank; further, the oil level change signal is collected in real time by the non-contact liquid level sensor, and the signal data is transmitted to the data processing unit.

[0041] The above-mentioned real-time monitoring data refers to the signal data reflecting the oil level changes in the closed oil storage tank that are continuously collected by the non-contact liquid level sensor during the monitoring process. The above-mentioned signal data usually includes the electromagnetic induction value detected by the sensor, the change of voltage or current, the reflection time or frequency change of microwave or radar signals, the round-trip time of ultrasonic signals, the intensity change of optical signals, the change of capacitance value, or other physical quantities related to the oil level height obtained by non-contact measurement technology.

[0042] The above-mentioned preset monitoring data refers to the signal data collected by the non-contact liquid level sensor when the oil level in the closed oil storage tank is at a known and preset height, including the baseline value of the sensor signal, environmental parameters such as temperature and pressure, physical properties of the oil such as density and dielectric constant, and operating parameters of the wave excitation device such as frequency and amplitude. Recorded during the installation, calibration or maintenance of the equipment, the preset monitoring data is used to establish a mathematical model between the sensor signal and the actual oil level to ensure that the real-time monitoring data can accurately reflect the oil level status in the closed oil storage tank.

[0043] The above-mentioned preset oil level height refers to the oil level reference value preset according to system design, maintenance standards or operation requirements under normal operation or specific calibration conditions of the closed oil conservator. Specifically, the preset oil level height can be the oil level of the oil conservator in a full oil state, the oil level in an empty oil state, or the oil level in a certain ideal working state, such as the optimal filling height of the oil.

[0044] Specifically, first, the monitoring data collected by the non-contact liquid level sensor is acquired in real time; secondly, the real-time monitoring data is analyzed and compared using a preset oil level change model to determine the difference between the actual oil level height and the preset oil level height predicted by the model; further, if there is a deviation, the non-contact liquid level sensor is dynamically calibrated; finally, the preset oil level change model is updated based on the dynamic verification result.

[0045] Based on the above steps S11 to S14, by acquiring the real-time monitoring data collected by the target liquid level sensor, and using the preset oil level change model to compare and process the real-time monitoring data, and then when there is a deviation between the current oil level height and the preset oil level height, the target liquid level sensor is dynamically calibrated, and finally the preset oil level change model is updated using the dynamic calibration result, thereby achieving the purpose of high-precision and high-stability monitoring and calibration of the oil level of the closed oil storage tank under non-power outage and uninterrupted operation conditions, thereby achieving the technical effect of improving the accuracy and anti-interference of oil level data verification, and thus solving the technical problems of low accuracy and poor anti-interference in the oil level data verification method provided in the relevant technology.

[0046] Optionally, in step S12, a preset oil level change model is used to compare the real-time monitoring data, and the comparison results include:

[0047] Step S121, determining a preset oil level height corresponding to the real-time monitoring data according to a preset oil level change model;

[0048] Step S122, calculating the current oil level based on the real-time monitoring data and the preset oil level;

[0049] Step S123, comparing the current oil level with the preset oil level to obtain a comparison result.

[0050] For example, an electromagnetic induction sensor is installed on the outer wall of the oil storage tank and arranged along the direction of oil level change to collect inductance signals (such as voltage or current changes) caused by changes in the oil height in the oil storage tank in real time, so that a preset oil level change model can be established through formula (1):

[0051] I=f(H) Formula (1)

[0052] Where, I is the preset monitoring data; H is the preset oil level height; the preset oil level change model shown in formula (1) is used to determine the mapping relationship between the preset monitoring data and the preset oil level height, and the above mapping relationship can be linear or nonlinear, depending on the type and installation position of the non-contact liquid level sensor. It can be seen from formula (1) that when H increases, I also changes accordingly.

[0053] Exemplarily, the real-time monitoring data is input into the preset oil level change model shown in formula (1), the preset oil level height under the current acquisition signal state is predicted, and based on the real-time monitoring data and the preset oil level height, the current oil level height is calculated to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height.

[0054] Based on the above optional embodiments, the real-time monitoring data is analyzed according to the preset oil level change model to infer the preset oil level height under the current signal state, and then the real-time monitoring data and the inferred preset oil level height are used to calculate the current actual height of the oil level in the oil storage tank. Finally, the calculated current oil level height is compared with the preset oil level height. This can overcome the influence of factors such as temperature changes and sensor drift, thereby improving the accuracy and stability of oil level monitoring.

[0055] Optionally, in step S122, calculating the current oil level based on the real-time monitoring data and the preset oil level includes:

[0056] Step S1221, obtaining a target temperature difference, a correction coefficient of a target liquid level sensor, and a preset volume expansion coefficient, wherein the target temperature difference is used to represent the difference between the current temperature and the preset temperature;

[0057] Step S1222, determining the current oil level height based on the real-time monitoring data, the preset oil level height, the preset monitoring data, the target temperature difference, the correction coefficient of the target liquid level sensor and the preset volume expansion coefficient.

[0058] The target temperature difference refers to the difference between the actual temperature inside the closed oil storage tank and the preset reference temperature during the oil level monitoring and calibration process. The temperature of the closed oil storage tank can usually be monitored in real time by a built-in or external temperature sensor, and the obtained temperature monitoring value is transmitted to the data processing unit to obtain the target temperature difference.

[0059] The correction coefficient of the target liquid level sensor refers to a parameter that reflects the measurement accuracy and linearity of the target liquid level sensor, and is used to correct the measurement deviation of the sensor under different environmental conditions such as temperature and pressure to ensure the accuracy of the measurement data. The correction coefficient is usually obtained based on the factory calibration data of the sensor and the dynamic calibration operation in actual use.

[0060] The above-mentioned preset volume expansion coefficient refers to the degree to which the volume of oil expands or contracts with temperature changes. Different liquids have different volume expansion coefficients. For oil liquids, the preset volume expansion coefficient is usually in the range of 0.0006 to 0.0011 / °C.

[0061] For example, assuming that the target liquid level sensor is an electromagnetic induction sensor, the current oil level height can be calculated using formula (2):

[0062]

[0063] Among them, H current is the current oil level; H0 is the preset oil level; I is the real-time monitoring data of the electromagnetic induction sensor; I0 is the sensor data under the reference state, that is, the preset monitoring data; α is the correction coefficient of the target liquid level sensor; β is the preset volume expansion coefficient; ΔT is the difference between the current temperature and the preset temperature.

[0064] Based on the above optional embodiments, the current oil level height is determined based on the real-time monitoring data, the preset oil level height, the preset monitoring data, the target temperature difference, the correction coefficient of the target liquid level sensor and the preset volume expansion coefficient, ensuring that even in an environment with fluctuating temperature, the real-time oil level measurement data can reflect the actual oil level height, thereby improving the accuracy and anti-interference of the oil level data verification.

[0065] Optionally, the oil level data verification method further includes:

[0066] Step S21, receiving the current temperature collected by the temperature sensor;

[0067] Step S22, in response to the current temperature being greater than or equal to the preset temperature, calculating a temperature compensation parameter based on the current temperature and the preset temperature;

[0068] Step S23: updating the model parameters of the preset oil level change model based on the temperature compensation parameters.

[0069] Specifically, the key to determining whether temperature compensation is needed is to set a reasonable temperature change threshold to ensure that temperature compensation is triggered only when the temperature change is sufficient to affect the oil level measurement accuracy.

[0070] For example, a temperature sensor is used to monitor the temperature change of the liquid inside the oil storage tank in real time, and the temperature data is transmitted to the data processing unit. When the temperature change is detected to exceed the temperature change threshold, the temperature compensation is automatically triggered to avoid measurement errors caused by temperature changes. The temperature change threshold can be calculated by formula (3):

[0071]

[0072] Where, ΔT threshold is the temperature change threshold; E allowed is the maximum allowable oil level error, such as a measurement error of 0.1%; β is the volume expansion coefficient of the liquid; and H is the oil level height of the oil storage tank.

[0073] For example, assuming that the preset volume expansion coefficient β = 0.0007 1 / °C, the oil level height of the oil storage tank H = 5 m, and the maximum allowable oil level error = 0.005 m, then ΔT threshold=0.0050÷(0007×5)≈1.43°C, which means that when the temperature changes by more than 1.43°C, the temperature compensation step will be automatically triggered.

[0074] Furthermore, assuming that the preset temperature is 20 °C and the current temperature is 25 °C, the current temperature is greater than or equal to the preset temperature, and the temperature change exceeds the temperature change threshold, the oil level after temperature compensation can be calculated by formula (4):

[0075]

[0076] Among them, H measured H is the uncompensated measured oil level; corrrcted is the actual oil level after compensation; β is the volume expansion coefficient of the liquid; ΔT is the temperature difference between the current temperature and the reference temperature; C sensor is the sensor sensitivity coefficient; ΔV is the volume change of the oil due to temperature change; V0 is the original volume of the oil at the preset temperature.

[0077] Based on the above optional embodiments, when the current temperature is greater than or equal to the preset temperature, the temperature compensation parameters are calculated based on the current temperature and the preset temperature, and then the model parameters of the preset oil level change model are updated based on the temperature compensation parameters. This can correct the oil level measurement error caused by temperature change, thereby ensuring the accuracy of the oil level data verification.

[0078] Optionally, the oil level data verification method further includes:

[0079] Step S31, obtaining a preset verification period;

[0080] Step S32, dynamically calibrating the target liquid level sensor according to a preset calibration cycle to obtain a dynamic calibration result.

[0081] The above preset calibration cycle refers to the preset time interval for performance inspection and data verification of the target liquid level sensor. The setting of the preset calibration cycle needs to comprehensively consider factors such as the sensor type, working environment, frequency of use, expected life, and requirements for measurement accuracy. For example, for sensors that require highly precise measurements, the preset calibration cycle can be set shorter; while for occasions with a relatively stable working environment and stable sensor performance, the preset calibration cycle can be set longer.

[0082] For example, assuming that the preset calibration cycle is once a week, the current oil level of the closed oil storage tank is checked against the preset oil level at the same time point each week. If the comparison result shows that there is a deviation between the current oil level and the preset oil level, the target liquid level sensor needs to be dynamically calibrated. Specifically, the signal response characteristics of the sensor can be readjusted to ensure that the sensor reading is consistent with the actual oil level.

[0083] For example, a known amount of oil is injected or discharged from a closed oil storage tank, the fluctuation excitation device is stimulated to generate new liquid fluctuations, and the inductance change of the electromagnetic induction sensor is monitored in real time, and then the electromagnetic induction sensor is recalibrated, and the model parameters of the sensor and oil level change are updated. If the main power supply is interrupted during the verification process, it will automatically switch to the backup power supply. During the operation of the backup power supply, the system will continue to monitor the recovery status of the main power supply. Once the main power supply is restored, it will automatically reconnect to the main power supply and evaluate the system status and data integrity during the backup power supply to ensure the accuracy of the verification results and the normal operation of the system.

[0084] Based on the above optional embodiments, by periodically performing sensor calibration, measurement deviations caused by factors such as sensor aging, environmental changes or accidental damage can be discovered and corrected in a timely manner, thereby improving the anti-interference ability of oil level data calibration.

[0085] Optionally, the oil level data verification method further includes: in response to determining based on the comparison result that there is a deviation between the current oil level height and the preset oil level height, generating target prompt information, wherein the target prompt information is used to prompt the target user to perform maintenance inspection on the target liquid level sensor.

[0086] For example, it is assumed that in the data processing unit, the result obtained by comparing the real-time monitoring data with the preset oil level change model shows that the current oil level in the closed oil storage tank deviates from the preset oil level by more than a preset threshold, thereby generating the target prompt information shown below:

[0087] (1) Sensor identification: "Sensor ID-12345", used to clearly indicate the equipment that needs maintenance;

[0088] (2) Deviation details: current oil level (e.g. 3.2 m), preset oil level (e.g. 3.0 m), deviation (e.g. +0.2 m) and deviation percentage;

[0089] (3) Maintenance recommendations: Based on the deviation details, it is recommended to recalibrate the sensor, check the sensor connection, test the oil tank sealing, or check the working status of the wave excitation device.

[0090] Furthermore, the above target prompt information is sent to the target user, i.e. the staff or engineer responsible for maintaining and monitoring the oil level of the oil storage tank, via SMS, email, mobile phone application push, etc. After receiving the target prompt information, the target user will immediately respond and perform maintenance inspection steps, including but not limited to:

[0091] (1) On-site inspection: Go to the site to check the physical condition of the sensor, including whether the sensor probe is clean, damaged, correctly installed, and whether its relative position to the outer wall of the oil storage tank has changed;

[0092] (2) Performance test: Use standard liquid level changes to calibrate the sensor, check whether its signal response is consistent with the preset model, and evaluate the sensitivity and stability of the sensor;

[0093] (3) Recalibration: If the sensor performance is found to be degraded, recalibration is performed to restore the sensor's accurate measurement capability;

[0094] (4) Update records: After completing the inspection or calibration, update the maintenance records and calibration data of the relevant sensors in the system to ensure the accuracy and completeness of the system database.

[0095] Based on the above optional embodiments, when there is a deviation between the current oil level height and the preset oil level height, a target prompt information is generated to prompt the target user to perform maintenance inspection on the target liquid level sensor, thereby ensuring that even during system operation, sensor performance problems can be discovered in time and corresponding measures can be taken to avoid equipment operation risks caused by inaccurate oil level measurement, thereby ensuring the safe and efficient operation of power systems and industrial facilities.

[0096] 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.

[0097] In the embodiments of the present disclosure, an oil level data verification device is also provided, which is used to implement the above embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements 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.

[0098] Figure 2 is a structural block diagram of an oil level data verification device according to one embodiment of the present disclosure, such as Figure 2 As shown, the device comprises:

[0099] A first acquisition module 201 is used to acquire real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in the closed oil storage tank;

[0100] A comparison module 202 is used to compare the real-time monitoring data using a preset oil level change model to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between the preset monitoring data and the preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height;

[0101] The first calibration module 203 is used for dynamically calibrating the target liquid level sensor in response to determining that there is a deviation between the current oil level and the preset oil level based on the comparison result, and obtaining a dynamic calibration result;

[0102] The first updating module 204 is used to update the preset oil level change model using the dynamic calibration result to obtain an updated result.

[0103] Optionally, the comparison module 202 is also used to: determine the preset oil level height corresponding to the real-time monitoring data based on a preset oil level change model; calculate the current oil level height based on the real-time monitoring data and the preset oil level height; compare the current oil level height with the preset oil level height to obtain a comparison result.

[0104] Optionally, the comparison module 202 is also used to: obtain a target temperature difference, a correction coefficient of a target liquid level sensor, and a preset volume expansion coefficient, wherein the target temperature difference is used to represent the difference between a current temperature and a preset temperature; and determine the current oil level based on real-time monitoring data, a preset oil level, preset monitoring data, the target temperature difference, the correction coefficient of the target liquid level sensor, and a preset volume expansion coefficient.

[0105] Optionally, the oil level data verification device further includes:

[0106] The receiving module 205 is used to receive the current temperature collected by the temperature sensor;

[0107] A calculation module 206, configured to calculate a temperature compensation parameter based on the current temperature and the preset temperature in response to the current temperature being greater than or equal to the preset temperature;

[0108] The second updating module is used to update the model parameters of the preset oil level change model based on the temperature compensation parameters.

[0109] Optionally, the oil level data verification device further includes:

[0110] The second acquisition module 207 is used to acquire a preset verification period;

[0111] The second calibration module 208 is used to dynamically calibrate the target liquid level sensor according to a preset calibration cycle to obtain a dynamic calibration result.

[0112] Optionally, the oil level data verification device further includes:

[0113] The generating module 209 is used to generate target prompt information in response to determining that there is a deviation between the current oil level and the preset oil level based on the comparison result, wherein the target prompt information is used to prompt the target user to perform maintenance inspection on the target liquid level sensor.

[0114] According to another aspect of an embodiment of the present disclosure, there is also provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement the oil level data verification method in the embodiment of the present disclosure.

[0115] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0116] S1, obtaining real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in the closed oil storage tank;

[0117] S2, using a preset oil level change model to compare the real-time monitoring data to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between the preset monitoring data and the preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height;

[0118] S3, in response to determining that there is a deviation between the current oil level and the preset oil level based on the comparison result, dynamically calibrate the target liquid level sensor to obtain a dynamic calibration result;

[0119] S4, using the dynamic calibration result to update the preset oil level change model to obtain an updated result.

[0120] 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 runs, the device where the storage medium is located is controlled to execute the oil level data verification method in the embodiment of the present disclosure.

[0121] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0122] S1, obtaining real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in the closed oil storage tank;

[0123] S2, using a preset oil level change model to compare the real-time monitoring data to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between the preset monitoring data and the preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height;

[0124] S3, in response to determining that there is a deviation between the current oil level and the preset oil level based on the comparison result, dynamically calibrate the target liquid level sensor to obtain a dynamic calibration result;

[0125] S4, using the dynamic calibration result to update the preset oil level change model to obtain an updated result.

[0126] 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.

[0127] 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 oil level data verification method in the embodiments of the present disclosure is implemented.

[0128] Optionally, in this embodiment, the computer program product may be configured as a computer program for executing the following steps:

[0129] S1, obtaining real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in the closed oil storage tank;

[0130] S2, using a preset oil level change model to compare the real-time monitoring data to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between the preset monitoring data and the preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height;

[0131] S3, in response to determining that there is a deviation between the current oil level and the preset oil level based on the comparison result, dynamically calibrate the target liquid level sensor to obtain a dynamic calibration result;

[0132] S4, using the dynamic calibration result to update the preset oil level change model to obtain an updated result.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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 method for verifying oil level data, characterized in that: include: Acquire real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in the closed oil storage tank; The real-time monitoring data is compared and processed by using a preset oil level change model to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between preset monitoring data and preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height; In response to determining that there is a deviation between the current oil level and the preset oil level based on the comparison result, dynamically calibrating the target liquid level sensor to obtain a dynamic calibration result; The preset oil level change model is updated using the dynamic calibration result to obtain an updated result.

2. The oil level data verification method according to claim 1, characterized in that: The preset oil level change model is used to compare the real-time monitoring data, and the comparison results obtained include: Determining the preset oil level height corresponding to the real-time monitoring data according to the preset oil level change model; Calculating the current oil level based on the real-time monitoring data and the preset oil level; The current oil level height and the preset oil level height are compared to obtain the comparison result.

3. The oil level data verification method according to claim 2, characterized in that: Calculating the current oil level based on the real-time monitoring data and the preset oil level includes: Obtaining a target temperature difference, a correction coefficient of the target liquid level sensor, and a preset volume expansion coefficient, wherein the target temperature difference is used to represent the difference between the current temperature and the preset temperature; The current oil level is determined based on the real-time monitoring data, the preset oil level, the preset monitoring data, the target temperature difference, a correction coefficient of the target liquid level sensor and the preset volume expansion coefficient.

4. The oil level data verification method according to claim 1, characterized in that: The method further comprises: Receive the current temperature collected by the temperature sensor; In response to the current temperature being greater than or equal to a preset temperature, calculating a temperature compensation parameter based on the current temperature and the preset temperature; Model parameters of the preset oil level change model are updated based on the temperature compensation parameters.

5. The oil level data verification method according to claim 1, characterized in that: The method further comprises: Get the preset verification cycle; The target liquid level sensor is dynamically calibrated according to a preset calibration cycle to obtain a dynamic calibration result.

6. The oil level data verification method according to claim 1, characterized in that: The method further comprises: In response to determining based on the comparison result that there is a deviation between the current oil level height and the preset oil level height, target prompt information is generated, wherein the target prompt information is used to prompt a target user to perform maintenance inspection on the target liquid level sensor.

7. An oil level data verification device, characterized in that: include: A first acquisition module is used to acquire real-time monitoring data collected by a target liquid level sensor, wherein the real-time monitoring data is used to determine the current oil level height in the closed oil storage tank; a comparison module, used for comparing the real-time monitoring data with a preset oil level change model to obtain a comparison result, wherein the preset oil level change model is used to determine a mapping relationship between preset monitoring data and preset oil level height, and the comparison result is used to determine whether there is a deviation between the current oil level height of the closed oil storage tank and the preset oil level height; A first calibration module, configured to dynamically calibrate the target liquid level sensor in response to determining that there is a deviation between the current oil level and the preset oil level based on the comparison result, to obtain a dynamic calibration result; The first updating module is used to update the preset oil level change model using the dynamic calibration result to obtain an updated result.

8. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the instructions to implement the oil level data verification method according to any one of claims 1 to 6.

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 run, the device where the storage medium is located is controlled to execute the oil level data verification method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product comprises computer instructions, which, when executed by a processor, implement the oil level data verification method described in any one of claims 1 to 6.

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