Resonant ice thickness measurement method, device and system based on ice melting reset

Abstract

The embodiment of the present disclosure provides a resonant ice thickness measurement method, device and system based on ice melting reset, which relates to the technical field of ice detection. The method comprises the following steps: constructing the corresponding relationship between the resonant frequency of a resonant ice sensor and the ice thickness, and obtaining an ice thickness calibration model; obtaining the real-time resonant frequency of the current measurement period from the resonant ice sensor, and judging whether the current ice thickness reaches the effective measurement range of the resonant ice sensor based on the real-time resonant frequency and the ice thickness calibration model; if the current ice thickness reaches the effective measurement range, an ice melting signal is sent to the heating module; if the real-time resonant frequency returns to the reference resonant frequency, a stop ice melting signal is sent to the heating module, and the next measurement period is started; the current total ice thickness is calculated in combination with the round of the measurement period, the effective measurement range and the current ice thickness corresponding to the current measurement period. The present application can improve the measurement range and detection accuracy.

Description

Technical Field

[0001] This disclosure relates to the field of icing detection technology, and in particular to a resonant icing thickness measurement method, device and system based on ice melting and resetting. Background Technology

[0002] Transmission lines operate in complex meteorological environments, including low temperatures, rain, snow, freezing rain, and high humidity, making conductor surfaces prone to icing. As the icing thickness increases, the conductor load increases significantly, increasing the risk of accidents such as conductor galloping, increased sag, insulation flashover, wire breakage, and tower instability, seriously threatening the safe and stable operation of the power grid.

[0003] Currently, transmission line icing monitoring technologies mainly include manual inspection, video image recognition, laser measurement, fiber optic sensing, capacitance measurement, ultrasonic detection, and resonant sensing. Among these, resonant icing sensors utilize the principle that changes in ice mass cause a shift in the natural frequency of the resonant structure to measure ice thickness. They offer advantages such as high sensitivity, simple structure, low power consumption, ease of miniaturization, and strong resistance to electromagnetic interference, making them suitable for long-term online monitoring of transmission lines and showing promising engineering application prospects. However, due to the inherent operating characteristics of the resonant structure, the resonant frequency and ice thickness typically maintain a stable mapping relationship only within a finite linear response range. Once the measurement range is reached, the sensitivity and accuracy of existing resonant icing measurement methods decrease. Summary of the Invention

[0004] To solve the above-mentioned technical problems, or at least partially solve them, this disclosure provides a resonant method, apparatus, and system for measuring ice thickness based on ice melting and resetting.

[0005] This disclosure provides a resonant ice thickness measurement method based on ice melting and reset, applied to a resonant ice thickness measurement system. The method includes: establishing a correspondence between the resonant frequency of the resonant ice sensor and the ice thickness to obtain an ice thickness calibration model; acquiring the real-time resonant frequency of the current measurement cycle from the resonant ice sensor, and determining whether the current ice thickness reaches the effective measurement range of the resonant ice sensor based on the real-time resonant frequency and the ice thickness calibration model; if the current ice thickness reaches the effective measurement range, sending an ice melting signal to the heating module; if the real-time resonant frequency recovers to the reference resonant frequency, sending a stop ice melting signal to the heating module and starting the next measurement cycle; wherein the reference resonant frequency is the resonant frequency of the resonant ice sensor in an ice-free state, the ice melting signal is used to instruct the heating device to perform ice melting, and the stop ice melting signal is used to instruct the heating device to stop ice melting; and calculating the current total ice thickness by combining the measurement cycle number, the effective measurement range, and the current ice thickness corresponding to the current measurement cycle.

[0006] In one possible implementation, determining whether the current ice thickness reaches the effective measurement range of the resonant icing sensor based on the real-time resonant frequency and the ice thickness calibration model includes: determining the effective resonant frequency corresponding to the effective measurement range of the resonant icing sensor based on the ice thickness calibration model; determining whether the real-time resonant frequency is less than or equal to the effective resonant frequency; if the real-time resonant frequency is less than or equal to the effective resonant frequency, determining that the current ice thickness reaches the effective measurement range of the resonant icing sensor; if the real-time resonant frequency is greater than the effective resonant frequency, determining that the current ice thickness does not reach the effective measurement range of the resonant icing sensor.

[0007] In one possible implementation, determining whether the current ice thickness reaches the effective measurement range of the resonant icing sensor based on the real-time resonant frequency and the ice thickness calibration model includes: determining the real-time ice thickness corresponding to the real-time resonant frequency based on the ice thickness calibration model; determining whether the real-time ice thickness is greater than or equal to the effective measurement range; if the real-time ice thickness is greater than or equal to the effective measurement range, then determining that the current ice thickness reaches the effective measurement range of the resonant icing sensor; if the real-time ice thickness is less than the effective measurement range, then determining that the current ice thickness does not reach the effective measurement range of the resonant icing sensor.

[0008] In one possible implementation, before starting the next measurement cycle, the method further includes: when the current measurement cycle is the first measurement cycle, setting the number of rounds of the measurement cycle to one; when the current measurement cycle is not the first measurement cycle, increasing the number of rounds of the measurement cycle by one.

[0009] In one possible implementation, the current total icing thickness is calculated by combining the measurement cycle number, the effective measurement range, and the current icing thickness corresponding to the current measurement cycle. This includes: calculating the historical total icing thickness within the historical measurement cycle based on the product of the measurement cycle number and the effective measurement range; and calculating the current total icing thickness by combining the historical total icing thickness and the current icing thickness.

[0010] This disclosure also provides a resonant icing thickness measurement device based on de-icing reset. The device includes: a construction module for constructing a correspondence between the resonant frequency of a resonant icing sensor and the icing thickness, obtaining an icing thickness calibration model; a judgment module for obtaining the real-time resonant frequency of the current measurement cycle from the resonant icing sensor, and judging whether the current icing thickness reaches the effective measurement range of the resonant icing sensor based on the real-time resonant frequency and the icing thickness calibration model; a control module for sending a de-icing signal to a heating module when the current icing thickness reaches the effective measurement range, and sending a stop de-icing signal to the heating module and starting the next measurement cycle when the real-time resonant frequency recovers to the reference resonant frequency; wherein the reference resonant frequency is the resonant frequency of the resonant icing sensor in an ice-free state, the de-icing signal is used to instruct the heating device to perform de-icing processing, and the stop de-icing signal is used to instruct the heating device to stop de-icing processing; and a calculation module for calculating the current total icing thickness by combining the number of measurement cycles, the effective measurement range, and the current icing thickness corresponding to the current measurement cycle.

[0011] In one possible implementation, the judgment module includes: a first calculation unit, used to determine the effective resonant frequency corresponding to the effective measurement range of the resonant icing sensor based on the icing thickness calibration model; and a first judgment unit, used to judge whether the real-time resonant frequency is less than or equal to the effective resonant frequency; if the real-time resonant frequency is less than or equal to the effective resonant frequency, then the current icing thickness is judged to have reached the effective measurement range of the resonant icing sensor; if the real-time resonant frequency is greater than the effective resonant frequency, then the current icing thickness is judged to have not reached the effective measurement range of the resonant icing sensor.

[0012] In one possible implementation, the judgment module includes: a second calculation unit, used to determine the real-time icing thickness corresponding to the real-time resonant frequency based on the icing thickness calibration model; and a second judgment unit, used to determine whether the real-time icing thickness is greater than or equal to the effective measurement range; if the real-time icing thickness is greater than or equal to the effective measurement range, then the current icing thickness is determined to have reached the effective measurement range of the resonant icing sensor; if the real-time icing thickness is less than the effective measurement range, then the current icing thickness is determined to have not reached the effective measurement range of the resonant icing sensor.

[0013] In one possible implementation, the control module includes: a setting unit, used to set the number of rounds of the measurement cycle to one when the current measurement cycle is the first measurement cycle; and to increment the number of rounds of the measurement cycle by one when the current measurement cycle is not the first measurement cycle.

[0014] In one possible implementation, the calculation module includes: a third calculation unit for calculating the historical total icing thickness within a historical measurement period based on the product of the number of measurement cycles and the effective measurement range; and a fourth calculation unit for calculating the current total icing thickness by combining the historical total icing thickness and the current icing thickness.

[0015] This disclosure also provides a resonant ice thickness measurement system based on ice melting and resetting. The system includes a resonant ice sensor, a heating device, and a resonant ice thickness measurement device. The resonant ice thickness measurement device is used to execute the aforementioned resonant ice thickness measurement method. The resonant ice sensor is used to acquire the real-time resonant frequency of the current measurement cycle. The heating device is used to receive an ice melting signal and a stop ice melting signal from the resonant ice thickness measurement device, and to perform ice melting processing on the resonant ice sensor based on the ice melting signal; and to stop the ice melting processing on the resonant ice sensor based on the stop ice melting signal.

[0016] In this implementation, a resonant icing sensor is used to detect the current icing state. Once the current icing thickness reaches the effective measurement range of the resonant icing sensor, active de-icing is used to restore the sensor to an ic-free baseline state, and multiple rounds of cyclic measurements are initiated. The total icing thickness is calculated by combining the data from multiple measurements. This application constructs a cyclic measurement mechanism of "measurement-judgment-reset-accumulation-output," which, without changing the structure and measurement mechanism of the resonant icing sensor, detects within the effective measurement range, improves measurement accuracy, comprehensively increases the measurement range, realizes large-scale icing thickness measurement, and enhances the engineering applicability of icing measurement. Attached Figure Description

[0017] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0018] Figure 1 This disclosure provides a resonant ice thickness measurement system based on ice melting and resetting, as an embodiment of the present invention. Figure 2 A schematic flowchart illustrating a resonant ice thickness measurement method based on ice melting and resetting provided in this embodiment of the present disclosure; Figure 3 A schematic diagram of a range extension process provided in an embodiment of this disclosure; Figure 4 A schematic diagram illustrating the range extension effect provided in an embodiment of this disclosure; Figure 5 A comparison chart of results from different methods for measuring ice thickness; Figure 6 A schematic diagram of a climate chamber icing test platform provided in an embodiment of this disclosure; Figure 7 This is a schematic diagram of the structure of a resonant ice thickness measuring device provided in an embodiment of the present disclosure; Figure 8 This is a schematic diagram of the structure of a computing device provided in an embodiment of the present disclosure. Detailed Implementation

[0019] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0020] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0021] The term "comprising" and its variations as used herein are open-ended inclusions, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below.

[0022] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0023] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0024] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0025] The resonant structure in a resonant icing sensor has inherent operating characteristics. The resonant frequency and the ice thickness typically maintain a stable mapping relationship only within a finite linear response range, which is the effective measurement range. As the ice thickness continues to increase and exceeds the effective measurement range, the resonant frequency response gradually enters the nonlinear region, and phenomena such as decreased sensitivity, response saturation, and frequency drift may even occur, leading to an increase in the error of ice thickness calculation.

[0026] To address the aforementioned issues, this disclosure provides a resonant icing thickness measurement method, apparatus, and system based on de-icing reset. By utilizing a resonant icing sensor to detect the current icing state, and once the current icing thickness reaches the effective measurement range of the resonant icing sensor, active de-icing is used to restore the sensor to an ice-free reference state, initiating multiple rounds of cyclic measurements. The total icing thickness is calculated by combining the data from these multiple measurements. This application constructs a cyclic measurement mechanism of "measurement-judgment-reset-accumulation-output," which, without altering the structure and measurement mechanism of the resonant icing sensor, detects within the effective measurement range, improving measurement accuracy and comprehensively increasing the measurement range. This enables large-scale icing thickness measurement and enhances the engineering applicability of icing measurement.

[0027] The method will be described below with reference to specific embodiments.

[0028] Figure 1 A schematic diagram of a resonant ice thickness measurement system based on ice melting and resetting, provided in an embodiment of this disclosure, is shown below. Figure 1 As shown, the resonant icing thickness measurement system includes a resonant icing sensor, a heating device, and a resonant icing thickness measurement device.

[0029] The resonant icing sensor is used to acquire the real-time resonant frequency of the current measurement cycle.

[0030] In one possible implementation, the resonant icing sensor is a piezoelectric resonant sensor. A piezoelectric resonant sensor uses a piezoelectric element to drive a vibrating diaphragm or tube to vibrate at its natural frequency. When ice accumulates on the diaphragm or tube, it changes its effective mass, causing the resonant frequency to decrease. Understandably, the greater the ice thickness, the lower the resonant frequency.

[0031] The heating device is used to receive melting signals and stop melting signals from the resonant ice thickness measuring device, and to perform melting processing on the resonant ice sensor based on the melting signals; and to stop melting processing on the resonant ice sensor based on the stop melting signals.

[0032] In one possible implementation, the heating device may employ resistance heating, hot air de-icing, infrared heating, laser heating, or other heating methods.

[0033] The resonant ice thickness measuring device is used to measure the current total ice thickness and generate ice melting signals and ice melting stop signals during the measurement process.

[0034] In one possible implementation, Figure 2 This is a flowchart illustrating a resonant icing thickness measurement method based on ice melting and resetting, provided in an embodiment of this disclosure. This method can be executed by a resonant icing thickness measurement device, which can be implemented in software and / or hardware, and is generally integrated into a computing device. Figure 2 As shown, the method includes: S201. Construct the correspondence between the resonant frequency of the resonant icing sensor and the icing thickness to obtain the icing thickness calibration model.

[0035] This application analyzes the relationship between resonant frequency and icing thickness within a finite linear response range and constructs an icing thickness calibration model.

[0036] Specifically, during the initial operation of the resonant icing thickness measurement system, the resonant icing sensor is initialized and calibrated. The resonant frequency under icing-free conditions is obtained as the reference resonant frequency. Then, the icing thickness is gradually increased in a laboratory environment to establish the correspondence between the resonant frequency and the icing thickness, and an icing thickness calibration model is established. The icing thickness calibration model is expressed as follows: .

[0037] In the formula, Indicates the thickness of the ice layer. Indicates the resonant frequency. This represents the mapping function obtained from calibration.

[0038] For example, the calibration methods for the icing thickness calibration model include linear fitting, polynomial fitting, lookup table model, calibration curve establishment, etc.

[0039] Understandably, for different types of sensors, the above methods are used to establish corresponding ice thickness calibration models.

[0040] In one possible implementation, the icing thickness calibration model is a linear calibration model, and the mapping relationship is expressed as: .

[0041] In the formula, Indicates the calibration coefficient. This represents the zero-point correction factor. This represents the reference resonant frequency in the un-iced state.

[0042] S202. Obtain the real-time resonant frequency of the current measurement cycle from the resonant icing sensor.

[0043] Specifically, the resonant icing sensor is used to collect the current resonant frequency in real time, and the resonant icing thickness measuring device obtains the real-time resonant frequency of the current measurement cycle from the resonant icing sensor.

[0044] Understandably, when the resonant icing thickness measurement system is first run, the current measurement cycle is the first measurement cycle. When the real-time resonant frequency decreases and then recovers to the reference resonant frequency, a new measurement cycle begins.

[0045] S203. Based on the real-time resonant frequency and the icing thickness calibration model, determine whether the current icing thickness has reached the effective measurement range of the resonant icing sensor.

[0046] In one possible implementation, the resonant icing thickness measuring device compares the real-time resonant frequency with the effective resonant frequency to determine whether the current icing thickness has reached the effective measurement range of the resonant icing sensor.

[0047] Specifically, the effective measurement range of the resonant icing sensor is input into the icing thickness calibration model to obtain the effective resonant frequency corresponding to the icing thickness reaching the effective measurement range of the resonant icing sensor. The real-time resonant frequency is compared with the effective resonant frequency to determine whether the real-time resonant frequency is less than or equal to the effective resonant frequency. If the real-time resonant frequency is less than or equal to the effective resonant frequency, the current icing thickness is determined to have reached the effective measurement range of the resonant icing sensor; if the real-time resonant frequency is greater than the effective resonant frequency, the current icing thickness is determined to have not reached the effective measurement range of the resonant icing sensor.

[0048] Understandably, as the ice thickness increases, the real-time resonant frequency decreases. When the real-time resonant frequency is lower than the effective resonant frequency, it indicates that the current ice thickness exceeds the effective measurement range, and the sensitivity of the resonant ice sensor decreases.

[0049] In one possible implementation, the real-time ice thickness is compared with the effective measurement range to determine whether the current ice thickness has reached the effective measurement range of the resonant ice sensor.

[0050] Specifically, the real-time resonant frequency is input into the icing thickness calibration model to obtain the real-time icing thickness corresponding to the real-time resonant frequency of the resonant icing sensor. The real-time icing thickness is compared with the effective measurement range to determine whether the real-time icing thickness is greater than or equal to the effective measurement range. If the real-time icing thickness is greater than or equal to the effective measurement range, it is determined that the current icing thickness has reached the effective measurement range of the resonant icing sensor; if the real-time icing thickness is less than the effective measurement range, it is determined that the current icing thickness has not reached the effective measurement range of the resonant icing sensor.

[0051] In one possible implementation, the real-time range utilization rate is calculated to determine whether the current icing thickness has reached the effective measurement range of the resonant icing sensor.

[0052] Specifically, the real-time resonant frequency is input into the icing thickness calibration model to obtain the real-time icing thickness corresponding to the real-time resonant frequency of the resonant icing sensor. The ratio of the real-time icing thickness to the effective measurement range is calculated to obtain the real-time range utilization rate, expressed as: .

[0053] In the formula, Indicates the effective measurement range.

[0054] The real-time range utilization rate is compared with the range utilization rate ratio to determine whether the real-time range utilization rate is greater than or equal to the range utilization rate ratio. If the real-time range utilization rate is greater than or equal to the utilization rate ratio, it is determined that the current ice thickness has reached the effective measurement range of the resonant icing sensor; if the real-time range utilization rate is less than the range utilization rate ratio, it is determined that the current ice thickness has not reached the effective measurement range of the resonant icing sensor.

[0055] For example, the range utilization ratio is 0.95 to 1.00. Understandably, different types of sensors are set with different range utilization ratios.

[0056] Furthermore, if it is determined that the current ice thickness has reached the effective measurement range of the resonant icing sensor, then step S204 is executed; if it is determined that the current ice thickness has not reached the effective measurement range of the resonant icing sensor, then step S202 is executed to continuously monitor the real-time resonant frequency.

[0057] In this implementation, the present application establishes a range utilization model and a range determination model to ensure that the sensor always operates in the high-precision linear response range and avoids entering the nonlinear response region, which would lead to an increase in measurement error.

[0058] S204. Send a melting signal to the heating module to control the heating device to perform melting.

[0059] When the current ice thickness is determined to have reached the effective measurement range of the resonant icing sensor, the resonant icing thickness measuring device generates an ice-melting signal and sends it to the heating module. Upon receiving the ice-melting signal, the heating module melts the ice on the surface of the resonant icing sensor.

[0060] During the ice melting process, the real-time resonant frequency of the resonant icing sensor is monitored in real time. As the ice thickness decreases, the real-time resonant frequency increases.

[0061] S205. When the real-time resonant frequency recovers to the reference resonant frequency, a stop-ice-melting signal is sent to the heating module to control the heating device to stop the ice-melting process.

[0062] When the real-time resonant frequency of the resonant icing sensor returns to the reference resonant frequency, indicating that the ice on the surface of the resonant icing sensor has been completely removed, a stop-ice-melting signal is generated and sent to the heating module. Upon receiving the stop-ice-melting signal, the heating module stops the ice-melting process.

[0063] When the real-time resonant frequency of the resonant icing sensor recovers to the reference resonant frequency and the ice melting reset is completed, the next measurement cycle begins.

[0064] In one possible implementation, after stopping the ice-melting process and before starting the next measurement cycle, the current measurement cycle number is updated and recorded. Specifically, if the current measurement cycle is the first measurement cycle, after the resonant ice-resetting sensor completes the ice-melting reset, the measurement cycle number is set to one; when the current measurement cycle is not the first measurement cycle, the measurement cycle number is incremented by one, that is, after the resonant ice-resetting sensor completes one ice-melting reset, the measurement cycle number is updated as follows: .

[0065] In the formula, This indicates the round number of the measurement cycle before the update. This indicates the round number of the updated measurement cycle.

[0066] For example, after completing the first measurement, After completing the second measurement, And so on.

[0067] S206. Calculate the current total icing thickness by combining the measurement cycle number, effective measurement range, and the current icing thickness corresponding to the current measurement cycle.

[0068] The resonant icing thickness measuring device calculates the historical total icing thickness within the historical measurement period based on the product of the number of measurement cycles and the effective measurement range. It then calculates the current total icing thickness by combining the historical total icing thickness with the current icing thickness, and uses the current total icing thickness as the icing thickness of the transmission line.

[0069] Specifically, after completing multiple rounds of measurements, the total icing thickness is calculated based on the round number of the measurement cycle and the current icing thickness of the current measurement cycle: .

[0070] In the formula, Indicates the total icing thickness. Indicates the total thickness of ice cover throughout history. Indicates the number of cycles in the measurement period. Indicates the effective measurement range. This indicates the current ice thickness.

[0071] For example, if the effective measurement range for a single measurement is 2 mm, and 5 measurement cycles are completed cumulatively, and the current icing thickness in the 6th measurement cycle is 1.3 mm, then the total icing thickness is: .

[0072] Furthermore, in order to evaluate the range extension effect of this application, the range extension factor is defined as: .

[0073] For example, when ,final ,but This expands the range by 6 times.

[0074] In this implementation, this application proposes a range extension factor evaluation model, which can quantitatively evaluate the improvement effect of the system's measurement capability and provide a basis for the range design and optimization of different types of resonant icing sensors.

[0075] Please see Figure 3 and Figure 4 , Figure 3 This is a schematic diagram of a range extension process provided in an embodiment of this disclosure. Figure 4 This is a schematic diagram illustrating a range extension effect provided in an embodiment of this disclosure. Figure 3 As shown, after each measurement reaches the effective range, de-icing and resetting are performed, and the number of measurement cycles is accumulated. Figure 3 and Figure 4 The measurement range is extended after multiple measurements. As the number of measurement cycles increases, this application can theoretically overcome the limitation of a single effective range and achieve a wide range of ice thickness measurements under continuous icing conditions without changing the structure of the resonant icing sensor.

[0076] Please see Figure 5 , Figure 5 The graph shows a comparison of results from different methods for measuring ice thickness. The transmission method is a single measurement, while the method of this invention extends the measurement range. The results of the method of this invention are similar to those of manual measurement.

[0077] Understandably, for resonant icing sensors with a small single effective range, although more de-icing and reset operations are required, high measurement accuracy can be maintained because each measurement is completed within the linear response range. For resonant icing sensors with a large single effective range, the number of de-icing operations can be reduced, improving overall measurement efficiency. This application allows for flexible configuration of range criteria and de-icing strategies based on different sensor ranges, demonstrating good versatility and engineering adaptability.

[0078] In this implementation, this application proposes a range extension mechanism based on ice-melting reset and range accumulation, enabling wide-range ice thickness measurement of a finite-range sensor without altering the resonant icing sensor structure. By combining the range accumulation model and the total ice thickness calculation model, effective fusion of multi-round measurement results is achieved, improving measurement capabilities under thick icing conditions. This application achieves range extension solely through ice-melting reset and range accumulation strategies, offering advantages such as simple implementation, good compatibility, convenient engineering deployment, and high application value.

[0079] This disclosure also proposes a climate chamber icing test platform. Figure 6 A schematic diagram of a climate chamber icing test platform provided in an embodiment of this disclosure is shown below. Figure 6 As shown, the climate chamber icing test platform includes a climate chamber, a data acquisition and control unit, a host computer, a heating and de-icing device, and a DC power supply. The temperature and humidity of the climate chamber are controllable. A resonant icing sensor and a wire sample are placed in the climate chamber. The resonant icing sensor collects the resonant frequency signal, and the wire sample simulates the area where ice forms. The resonant icing sensor is connected to the host computer, which stores the data. The climate chamber transmits the collected resonant frequency to the data acquisition and control unit via signal transmission. The data acquisition and control unit includes a signal conditioning module, a data acquisition module, and a control output module. The signal conditioning module receives the signal, the data acquisition module converts the resonant frequency signal into a resonant frequency, and the control output module outputs control commands to the heating and de-icing device based on the resonant frequency. The heating resistance wire in the heating control device is heated by the DC power supply.

[0080] To achieve the above embodiments, this disclosure also proposes a resonant ice thickness measuring device.

[0081] Figure 7 This is a schematic diagram of a resonant icing thickness measuring device provided in an embodiment of this disclosure. The device can be implemented by software and / or hardware, and is generally integrated into a computing device. Figure 7 As shown, the resonant ice thickness measuring device includes: Module 701 is used to construct the correspondence between the resonant frequency of the resonant icing sensor and the icing thickness, thereby obtaining the icing thickness calibration model.

[0082] The judgment module 702 is used to obtain the real-time resonant frequency of the current measurement cycle from the resonant icing sensor, and to determine whether the current icing thickness has reached the effective measurement range of the resonant icing sensor based on the real-time resonant frequency and the icing thickness calibration model.

[0083] The control module 703 is used to send an ice-melting signal to the heating module when the current ice thickness reaches the effective measurement range, and to send a stop ice-melting signal to the heating module when the real-time resonant frequency recovers to the reference resonant frequency, and to start the next measurement cycle. The reference resonant frequency is the resonant frequency of the resonant ice sensor in the ice-free state. The ice-melting signal is used to instruct the heating device to perform ice-melting processing, and the stop ice-melting signal is used to instruct the heating device to stop ice-melting processing.

[0084] The calculation module 704 is used to calculate the current total icing thickness by combining the number of measurement cycles, the effective measurement range, and the current icing thickness corresponding to the current measurement cycle.

[0085] In one possible implementation, the judgment module 702 includes: The first calculation unit is used to determine the effective resonant frequency corresponding to the effective measurement range of the resonant icing sensor based on the icing thickness calibration model.

[0086] The first judgment unit is used to determine whether the real-time resonant frequency is less than or equal to the effective resonant frequency; when the real-time resonant frequency is less than or equal to the effective resonant frequency, it is determined that the current ice thickness has reached the effective measurement range of the resonant icing sensor; when the real-time resonant frequency is greater than the effective resonant frequency, it is determined that the current ice thickness has not reached the effective measurement range of the resonant icing sensor.

[0087] In one possible implementation, the judgment module 702 includes: The second calculation unit is used to determine the real-time icing thickness corresponding to the real-time resonant frequency based on the icing thickness calibration model.

[0088] The second judgment unit is used to determine whether the real-time ice thickness is greater than or equal to the effective measurement range; when the real-time ice thickness is greater than or equal to the effective measurement range, it is determined that the current ice thickness has reached the effective measurement range of the resonant ice sensor; when the real-time ice thickness is less than the effective measurement range, it is determined that the current ice thickness has not reached the effective measurement range of the resonant ice sensor.

[0089] In one possible implementation, the control module 703 includes: The setting unit is used to set the number of rounds in the measurement cycle to one when the current measurement cycle is the first measurement cycle; and to increase the number of rounds in the measurement cycle by one when the current measurement cycle is not the first measurement cycle.

[0090] In one possible implementation, the computing module 704 includes: The third calculation unit is used to calculate the historical total icing thickness within the historical measurement period based on the product of the number of measurement cycles and the effective measurement range.

[0091] The fourth calculation unit is used to calculate the current total icing thickness by combining the historical total icing thickness and the current icing thickness.

[0092] The resonant icing thickness measuring device provided in this disclosure can execute the resonant icing thickness measuring method provided in any embodiment of this disclosure, and has the corresponding functional modules and beneficial effects for executing the method.

[0093] To implement the above embodiments, this disclosure also proposes a computer program product, including a computer program / instructions, which, when executed by a processor, implements the resonant icing thickness measurement method in the above embodiments.

[0094] Figure 8 This is a schematic diagram of the structure of a computing device provided in an embodiment of the present disclosure.

[0095] The following is a detailed reference. Figure 8 The diagram illustrates a structural schematic suitable for implementing the computing device in the embodiments of this disclosure. The computing device in the embodiments of this disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 8 The computing device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0096] like Figure 8 As shown, the computing device may include a processor (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 802 or a program loaded from memory 808 into random access memory (RAM) 803. The RAM 803 also stores various programs and data required for the operation of the computing device. The processor 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0097] Typically, the following devices can be connected to I / O interface 805: input devices 806 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 807 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 808 including, for example, magnetic tapes, hard disks, etc.; and communication devices 809. Communication device 809 allows the computing device to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 8 A computing device with various means is shown, but it should be understood that it is not required to implement or have all the means shown. More or fewer means may be implemented or have alternatively.

[0098] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 809, or installed from a memory 808, or installed from a ROM 802. When the computer program is executed by the processor 801, it performs the functions defined in the resonant icing thickness measurement method of embodiments of this disclosure.

[0099] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0100] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0101] The aforementioned computer-readable medium may be included in the aforementioned computing device; or it may exist independently and not assembled into the computing device.

[0102] The aforementioned computer-readable medium carries one or more programs, which, when executed by the computing device, cause the computing device to perform the aforementioned resonant icing thickness measurement method.

[0103] The computing device can be programmed with computer program code in one or more programming languages ​​or a combination thereof to perform the operations of this disclosure. These programming languages ​​include, but are not limited to, object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0104] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0105] The units described in the embodiments of this disclosure can be implemented in software or hardware. The names of the units are not, in some cases, intended to limit the specific unit.

[0106] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0107] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0108] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features disclosed in this disclosure that have similar functions.

[0109] Furthermore, while the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. In certain environments, multitasking and parallel processing may be advantageous. Similarly, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this disclosure. Certain features described in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented individually or in any suitable sub-combination in multiple embodiments.

[0110] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

1. A resonant ice thickness measurement method based on ice melting and resetting, applied to a resonant ice thickness measurement system, characterized in that, The method includes: The relationship between the resonant frequency of the resonant icing sensor and the icing thickness is established to obtain the icing thickness calibration model; The real-time resonant frequency of the current measurement cycle is obtained from the resonant icing sensor, and the current icing thickness is determined based on the real-time resonant frequency and the icing thickness calibration model to determine whether the current icing thickness has reached the effective measurement range of the resonant icing sensor. When the current ice thickness reaches the effective measurement range, a melting signal is sent to the heating module. When the real-time resonant frequency recovers to the reference resonant frequency, a stop melting signal is sent to the heating module, and the next measurement cycle begins. The reference resonant frequency is the resonant frequency of the resonant ice sensor in the un-iced state. The melting signal is used to instruct the heating device to perform ice melting, and the stop melting signal is used to instruct the heating device to stop ice melting. The current total icing thickness is calculated by combining the number of measurement cycles, the effective measurement range, and the current icing thickness corresponding to the current measurement cycle.

2. The resonant ice thickness measurement method based on ice melting and resetting according to claim 1, characterized in that, The step of determining whether the current ice thickness has reached the effective measurement range of the resonant icing sensor based on the real-time resonant frequency and the ice thickness calibration model includes: Based on the ice thickness calibration model, the effective resonant frequency corresponding to the effective measurement range of the resonant ice sensor is determined. Determine whether the real-time resonant frequency is less than or equal to the effective resonant frequency; If the real-time resonant frequency is less than or equal to the effective resonant frequency, it is determined that the current ice thickness has reached the effective measurement range of the resonant icing sensor; if the real-time resonant frequency is greater than the effective resonant frequency, it is determined that the current ice thickness has not reached the effective measurement range of the resonant icing sensor.

3. The resonant ice thickness measurement method based on ice melting and resetting according to claim 1, characterized in that, The step of determining whether the current ice thickness has reached the effective measurement range of the resonant icing sensor based on the real-time resonant frequency and the ice thickness calibration model includes: Based on the ice thickness calibration model, the real-time ice thickness corresponding to the real-time resonant frequency is determined; Determine whether the real-time ice thickness is greater than or equal to the effective measurement range; If the real-time icing thickness is greater than or equal to the effective measurement range, it is determined that the current icing thickness has reached the effective measurement range of the resonant icing sensor; if the real-time icing thickness is less than the effective measurement range, it is determined that the current icing thickness has not reached the effective measurement range of the resonant icing sensor.

4. The resonant ice thickness measurement method based on ice melting and resetting according to claim 1, characterized in that, Before initiating the next measurement cycle, the following also applies: When the current measurement cycle is the first measurement cycle, the number of cycles in the measurement cycle is set to one. When the current measurement cycle is not the first measurement cycle, the number of cycles in the measurement cycle is increased by one.

5. The resonant ice thickness measurement method based on ice melting reset according to claim 1 or 4, characterized in that, The calculation of the current total icing thickness by combining the measurement cycle number, the effective measurement range, and the current icing thickness corresponding to the current measurement cycle includes: The historical total icing thickness within the historical measurement period is calculated based on the product of the number of measurement cycles and the effective measurement range. The current total icing thickness is calculated by combining the historical total icing thickness and the current icing thickness.

6. A resonant ice thickness measuring device based on ice melting and resetting, characterized in that, The device includes: The module is used to construct the correspondence between the resonant frequency of the resonant icing sensor and the icing thickness, thereby obtaining the icing thickness calibration model. The judgment module is used to obtain the real-time resonant frequency of the current measurement cycle from the resonant icing sensor, and to determine whether the current icing thickness has reached the effective measurement range of the resonant icing sensor based on the real-time resonant frequency and the icing thickness calibration model. The control module is configured to send an ice-melting signal to the heating module when the current ice thickness reaches the effective measurement range, and to send a stop ice-melting signal to the heating module and start the next measurement cycle when the real-time resonant frequency recovers to the reference resonant frequency; wherein, the reference resonant frequency is the resonant frequency of the resonant ice sensor in the ice-free state, the ice-melting signal is used to instruct the heating device to perform ice-melting processing, and the stop ice-melting signal is used to instruct the heating device to stop ice-melting processing; The calculation module is used to calculate the current total icing thickness by combining the number of measurement cycles, the effective measurement range, and the current icing thickness corresponding to the current measurement cycle.

7. The resonant ice thickness measuring device based on ice melting and resetting according to claim 6, characterized in that, The judgment module includes: The first calculation unit is used to determine the effective resonant frequency corresponding to the effective measurement range of the resonant icing sensor based on the icing thickness calibration model. The first judgment unit is used to determine whether the real-time resonant frequency is less than or equal to the effective resonant frequency; when the real-time resonant frequency is less than or equal to the effective resonant frequency, it is determined that the current ice thickness has reached the effective measurement range of the resonant icing sensor; when the real-time resonant frequency is greater than the effective resonant frequency, it is determined that the current ice thickness has not reached the effective measurement range of the resonant icing sensor.

8. The resonant ice thickness measuring device based on ice melting and resetting according to claim 6, characterized in that, The judgment module includes: The second calculation unit is used to determine the real-time icing thickness corresponding to the real-time resonant frequency based on the icing thickness calibration model. The second judgment unit is used to determine whether the real-time icing thickness is greater than or equal to the effective measurement range; when the real-time icing thickness is greater than or equal to the effective measurement range, it is determined that the current icing thickness has reached the effective measurement range of the resonant icing sensor; when the real-time icing thickness is less than the effective measurement range, it is determined that the current icing thickness has not reached the effective measurement range of the resonant icing sensor.

9. The resonant ice thickness measuring device based on ice melting and resetting according to claim 6, characterized in that, The control module includes: The setting unit is used to set the number of rounds of the measurement cycle to one when the current measurement cycle is the first measurement cycle; and to increase the number of rounds of the measurement cycle by one when the current measurement cycle is not the first measurement cycle.

10. The resonant ice thickness measuring device based on ice melting and resetting according to claim 6 or 9, characterized in that, The computing module includes: The third calculation unit is used to calculate the historical total icing thickness within the historical measurement period based on the product of the number of rounds of the measurement cycle and the effective measurement range. The fourth calculation unit is used to calculate the current total icing thickness by combining the historical total icing thickness and the current icing thickness.

11. A resonant ice thickness measurement system based on ice melting and resetting, characterized in that, The system includes a resonant icing sensor, a heating device, and a resonant icing thickness measuring device, wherein... The resonant ice thickness measuring device is used to perform the resonant ice thickness measuring method according to any one of claims 1-5; The resonant icing sensor is used to acquire the real-time resonant frequency of the current measurement cycle. The heating device is used to receive a melting signal and a stop melting signal from the resonant ice thickness measuring device, and to perform ice melting processing on the resonant ice sensor based on the melting signal; and to stop the ice melting processing on the resonant ice sensor based on the stop melting signal.

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