Ice thickness detection device, detection method, device, computer equipment and medium

Abstract

The present invention relates to the field of electronic technology and discloses an ice thickness detection device, detection method, device, computer equipment, and medium. The ice thickness detection device includes an ice detection sensor, a temperature sensor, and a control module. The ice detection sensor is used to detect ice formation data of the ice layer, the temperature sensor is used to detect ice temperature data of the ice layer, and the control module is used to analyze the ice formation data and ice temperature data of the ice layer to determine ice thickness information. In the device provided by the present invention, the ice formation data collected by the ice detection sensor varies with the thickness and temperature of the ice layer. The control module is used to analyze the ice formation data and ice temperature data of the ice layer to accurately determine the ice thickness information, thereby achieving accurate detection of ice thickness and resolving the problem in related technologies of being unable to monitor ice thickness on wind turbine blades.

Description

Technical Field

[0001] The present invention relates to the field of electronic technology, and in particular to an ice thickness detection device, a detection method, a device, a computer device and a medium. Background Art

[0002] Wind farms are often located high in the mountains. Due to the influence of micro-topography and micro-climate conditions, wind turbine blades are extremely susceptible to ice formation. Icing on wind turbine blades not only affects the blades' aerodynamic performance, thereby reducing the turbine's power generation efficiency, but also endangers the safety of the wind turbine itself, as well as nearby personnel and equipment, posing a significant threat. To accurately determine the icing status of wind turbine blades, blade icing monitoring is necessary. Currently, there are three main methods for monitoring wind turbine blade icing: First, using meteorological data and wind turbine power curves to determine whether blades are iced; second, installing sensors or observation devices on the wind turbine nacelle to indirectly determine or observe whether blades are iced; and third, installing vibration sensors on the blades to determine ice formation based on changes in blade vibration characteristics. None of these methods accurately capture information such as the thickness of ice on the blade surface, making it difficult to accurately guide wind turbine startup, shutdown, and de-icing operations. Furthermore, installing sensors on the outer surface of wind turbine blades is difficult to route and requires thin sensors, minimizing the impact on blade aerodynamic performance. Therefore, a device for accurately monitoring ice thickness on wind turbine blades is urgently needed. Summary of the Invention

[0003] In view of this, the present invention provides an ice thickness detection device, detection method, device, computer equipment and medium to solve the problem of being unable to monitor the thickness of ice on wind turbine blades.

[0004] In a first aspect, the present invention provides an ice thickness detection device, which includes: an ice detection sensor, a temperature sensor, and a control module; the ice detection sensor is used to detect ice formation data of the ice layer, and the ice detection sensor is a multi-electrode sensor of a target parameter; the temperature sensor is used to detect temperature data of the ice layer; the control module is connected to the ice detection sensor and the temperature sensor, respectively, and is used to analyze the ice formation data and the temperature data of the ice layer to determine the thickness information of the ice layer; the target parameters include the number of target electrode pairs, the target electrode width, the target electrode gap, and preset electrode width to gap ratio information, and the preset electrode width to gap ratio information is determined by the following steps: using a preset sensor simulation model to simulate the ice detection performance of the ice detection sensor under different electrode gaps, different electrode widths, different electrode width to gap ratios, different interdigit lengths, and different detection area areas, to obtain a change law of the ice detection performance of the ice detection sensor; based on the change law of the ice detection performance of the ice detection sensor, the preset electrode width to gap ratio information is determined;

[0005] The target number of electrode pairs, target electrode width and target electrode gap are determined by the following steps: obtaining target sensitivity information, preset range information, preset detection area information and information of multiple electrode pairs to be measured of the multi-electrode sensor; determining multiple electrode pairs to be measured according to the change law of the ice detection performance of the ice layer detection sensor, inputting the preset range information, preset detection area information, preset electrode width and gap ratio information and each electrode pair to be measured into a pre-built sensor simulation model for simulation, and obtaining sensitivity information and signal strength information of the ice layer detection sensor corresponding to each electrode pair to be measured; determining the electrode pair that meets the preset requirements from the multiple electrode pairs to be measured according to the sensitivity information and target sensitivity information respectively corresponding to the multiple electrode pairs to be measured; if the signal strength of the ice layer detection sensor corresponding to the electrode pair that meets the preset requirements meets the preset anti-interference requirement, the electrode pair with the preset requirement is used as the target electrode pair; determining the target electrode width and target electrode gap based on the target electrode pair and the preset electrode width and gap ratio information.

[0006] The ice thickness detection device provided by the present invention includes an ice detection sensor, a temperature sensor, and a control module. The ice detection sensor is used to detect ice formation data, the temperature sensor is used to detect ice temperature data, and the control module is used to analyze the ice formation data and the ice temperature data to determine ice thickness information. In the device provided by the present invention, the ice formation data collected by the ice detection sensor varies with the thickness and temperature of the ice layer. The control module is used to analyze the ice formation data and the ice temperature data to accurately determine the ice thickness information, thereby achieving accurate detection of ice thickness. The parameter information of the ice detection sensor is determined through simulation, making the detection results of the ice detection sensor more accurate, solving the problem of the inability to monitor the thickness of the ice layer on the wind turbine blades in the related art.

[0007] In an optional embodiment, the target number of electrode pairs, the target electrode width and the target electrode gap are also determined by the following steps: if the signal strength of the ice layer detection sensor corresponding to the number of electrode pairs that meet the preset requirements does not meet the preset anti-interference requirements, the preset detection area is increased to obtain an adjusted detection area; based on the adjusted detection area, the sensitivity information and signal strength information of the ice layer detection sensor corresponding to each electrode pair to be tested are simulated and calculated until the signal strength of the ice layer detection sensor corresponding to the number of electrode pairs that meet the preset requirements meets the preset anti-interference requirements, and the number of electrode pairs that meet the preset requirements is used as the target number of electrode pairs.

[0008] In an optional embodiment, the device further includes a power supply module, which is respectively connected to the ice layer detection sensor, the temperature sensor and the control module, and is used to supply power to the ice layer detection sensor, the temperature sensor and the control module.

[0009] The device provided in this optional embodiment supplies power to the ice layer detection sensor, the temperature sensor, and the control module through the power supply module, thereby ensuring the operation of the device.

[0010] In an optional embodiment, the device also includes: a communication module, which is respectively connected to the ice layer detection sensor, the temperature sensor, the control module and the power supply module, and is used to send the ice layer freezing data, the ice layer temperature data and the ice layer thickness information to the display terminal.

[0011] The device provided in this optional embodiment uses a communication module to send ice formation data, ice layer temperature data, and ice layer thickness information to a display terminal, facilitating relevant data processing and display.

[0012] In a second aspect, the present invention provides an ice thickness detection method, which is applied to the controller of the ice thickness detection device of the first aspect or any corresponding embodiment thereof, including: obtaining target freezing data and target temperature data of the ice layer; extracting correlation information between the freezing data at the corresponding target temperature and the ice layer thickness based on the target temperature data; and determining the thickness information of the ice layer based on the correlation information between the freezing data at the target temperature and the ice layer thickness and the target freezing data.

[0013] The method provided by the present invention determines the thickness information of the ice layer based on the correlation information between the freezing data and the ice layer thickness at the target temperature and the target freezing data, thereby realizing accurate detection of the ice layer thickness and solving the problem in the related art that the thickness of the ice layer on the wind turbine blades cannot be monitored.

[0014] In a third aspect, the present invention provides an ice layer thickness detection device, which includes: an acquisition module for acquiring target freezing data and target temperature data of the ice layer; an extraction module for extracting the correlation information between the freezing data at the target temperature and the ice layer thickness based on the target temperature data; and a determination module for determining the thickness information of the ice layer based on the correlation information between the freezing data at the target temperature and the ice layer thickness and the target freezing data.

[0015] In a fourth aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the ice thickness detection method of the second aspect above by executing the computer instructions.

[0016] In a fifth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the ice thickness detection method of the first aspect or any corresponding embodiment thereof.

[0017] In a sixth aspect, the present invention provides a computer program product comprising computer instructions, wherein the computer instructions are used to enable a computer to execute the ice thickness detection method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a structural block diagram of an ice thickness detection device according to an embodiment of the present invention;

[0020] Figure 2 is a schematic diagram of a finite element simulation analysis model of a multi-electrode sensor according to an embodiment of the present invention;

[0021] Figure 3 is a schematic flow chart of an ice thickness detection method according to an embodiment of the present invention;

[0022] Figure 4 is a structural block diagram of an ice thickness detection device according to an embodiment of the present invention;

[0023] Figure 5 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0025] In related technologies, there are three main methods for monitoring wind turbine blade icing. The first is to determine whether the wind turbine blades are iced by using meteorological data and wind turbine power curves. The second is to indirectly determine or observe whether the wind turbine blades are iced by installing sensors or observation devices on the wind turbine nacelle. The third is to install vibration sensors on the wind turbine blades and determine whether ice is formed by observing changes in the blade vibration characteristics. None of the above methods can accurately obtain information such as the thickness of ice on the wind turbine blade surface, and cannot accurately guide the start-up and shutdown of wind turbines and the implementation of de-icing operations. In addition, installing sensors on the outer surface of wind turbine blades is difficult to wire, and the sensors must be thin, which has little impact on the aerodynamic performance of the blades.

[0026] In view of this, an ice thickness detection device provided in an embodiment of the present application realizes accurate detection of ice thickness, solving the problem in related technologies that the thickness of ice on wind turbine blades cannot be monitored.

[0027] In this embodiment, an ice thickness detection device is provided. Figure 1 FIG. 1 is a structural block diagram of an ice thickness detection device according to an embodiment of the present invention. Figure 1 As shown, the device includes: an ice layer detection sensor 1, a temperature sensor 2 and a control module 3.

[0028] The ice layer detection sensor 1 is used to detect the icing data of the ice layer. The ice layer detection sensor is a multi-electrode sensor of the target parameter. Exemplarily, the ice layer detection sensor is a multi-electrode sensor of the target parameter. In the embodiment of the present application, the multi-electrode sensor may include but is not limited to an interdigital electrode sensor. The interdigital electrode sensor mainly includes four structural parameters, namely: the number of pairs of interdigital electrode pairs, the width of the interdigits, the gap distance between adjacent interdigits, and the thickness of the interdigital electrodes. The multi-electrode sensor uses rectangular interdigital electrodes or circular interdigital electrodes, and the size, spacing, and number of the electrodes are determined according to actual needs.

[0029] The temperature sensor 2 is used to detect the temperature data of the ice layer. The control module 3 is connected to the ice layer detection sensor 1 and the temperature sensor 2 respectively, and is used to analyze the freezing data and the temperature data of the ice layer to determine the thickness information of the ice layer.

[0030] In some optional embodiments, the device further includes a power supply module, which is respectively connected to the ice detection sensor 1, the temperature sensor 2, and the control module 3, and is used to supply power 3 to the ice detection sensor 1, the temperature sensor 2, and the control module. For example, the power supply module can be composed of a flexible solar cell and a flexible storage battery.

[0031] In some optional embodiments, the device further includes a communication module, connected to the ice detection sensor, temperature sensor, control module, and power supply module, for transmitting ice formation data, ice temperature data, and ice thickness information to a display terminal. For example, the communication module may include, but is not limited to, wired and wireless communication modules; the display terminal may include, but is not limited to, a mobile phone or tablet computer. The present application does not limit the specific content of the display terminal, as long as it can meet the display requirements.

[0032] Specifically, the ice thickness detection device provided in the embodiment of the present application also includes a vibration sensor and a base. The vibration sensor is used to detect the vibration information of the wind turbine blades. The icing condition of the wind turbine blades can be judged based on the vibration information. The base is a flexible film, which is used to fix the ice sensor, temperature sensor, vibration sensor, power supply module, communication module, control module and the wires therebetween, and is used to be pasted on the surface of the monitored object.

[0033] Specifically, the target parameters include the target number of electrode pairs, the target electrode width and the target electrode gap. The preset electrode width to gap ratio information is determined through the following steps: using the preset sensor simulation model to simulate the ice detection performance of the ice detection sensor under different electrode gaps, different electrode widths, different electrode width to gap ratios, different electrode lengths and different detection area areas, to obtain the change law of the ice detection performance of the ice detection sensor; based on the change law of the ice detection performance of the ice detection sensor, the preset electrode width to gap ratio information is determined.

[0034] For example, in the embodiment of the present application, the preset electrode width to gap ratio information can be 1. A finite element simulation analysis model of a multi-electrode sensor is established, and the model includes capacitors, sensor bases, ice layers, etc. The schematic diagram of the finite element simulation analysis model of the multi-electrode sensor is as follows: Figure 2 As shown in the figure, the simulation analysis model parameters are set, including the parameters of the capacitor, base, and ice layer material properties. For example, the capacitor electrode material is copper, the relative dielectric constant of air is 1, the relative dielectric constant of the base is 4.2, and the relative dielectric constant of the ice layer is 3.1. In order to evaluate the performance of detecting ice thickness, two indicators, sensor signal strength and sensitivity, are defined to evaluate sensor performance. Signal strength is the size of the capacitance value measured by the sensor. Sensitivity is defined as the degree to which the capacitance value changes with the thickness of the ice. Its calculation formula is shown in the following formula (1):

[0035]

[0036] Among them, S represents the sensor sensitivity, C h+Δh Indicates the capacitance value when the ice thickness is h+Δh, C hIt represents the capacitance value when the ice thickness is h, and Δh represents the change in ice thickness.

[0037] When the multi-electrode sensor is an interdigitated electrode sensor, the electrode width is the interdigit width, the number of electrode pairs is the number of interdigit pairs, and the electrode width-to-gap ratio is the interdigit width-to-gap ratio. Simulation analysis of the sensor's ice detection performance at different electrode widths and photoelectrode gaps, assuming a fixed sensor detection area, confirms that as the interdigit width or interdigit gap increases, the capacitance decreases and the signal strength weakens. Analysis of the sensor's ice detection performance at different electrode width-to-gap ratios confirms that as the interdigit width-to-gap ratio increases, the sensor's capacitance and sensitivity first increase and then decrease. A ratio of 1-2 achieves good capacitance and sensitivity.

[0038] Under the premise of a fixed sensor detection area, simulation analysis of the sensor's ice detection performance with different numbers of electrodes and different electrode lengths confirmed that when the ratio of interdigit width to gap is 1, and under the premise of a fixed sensor detection area, as the interdigit width increases, the number of interdigit pairs decreases, the capacitance decreases, and the sensitivity increases. When the ratio of interdigit width to gap is 1, under the premise of a fixed sensor detection area, the length-to-width transformation increases, the number of interdigit pairs decreases, the capacitance increases, and the sensitivity decreases.

[0039] Simulation analysis reveals how the sensor's ice detection performance changes by increasing the number of finger pairs and the detection area by increasing the finger width. It confirms that when the ratio of finger width to gap is 1, increasing the detection area by increasing the number of finger pairs increases the capacitance, but the sensitivity does not change significantly. However, increasing the detection area by increasing the finger width decreases the capacitance, but increases the sensitivity. The sensor's capacitance and sensitivity must be greater than the resolution of the acquisition circuit. When designing the sensor, it's important to balance signal strength and sensitivity, maximizing signal strength while meeting sensitivity requirements. Given a specified sensor sensitivity and range, the above simulation steps and patterns allow for the optimal design of sensor structural parameters such as the size of the sensitive unit, finger width, finger gap, and number of finger pairs.

[0040] The target number of electrode pairs, target electrode width, and target electrode gap are determined by the following steps:

[0041] Step a1, obtaining target sensitivity information, preset range information, preset detection area information, and preset electrode width to gap ratio information of the multi-electrode sensor.

[0042] For example, in the embodiments of the present application, target sensitivity information can be determined based on demand, preset range information is used to represent the ice thickness range that the interdigital sensor can detect, preset detection area information is determined based on the actual size of the interdigital sensor, and preset electrode width to gap ratio information can also be determined based on actual demand. The number of interdigital pairs is used to represent the number of interdigital electrode pairs, and the interdigital gap is used to represent the gap distance between adjacent interdigits.

[0043] Step a2: Determine the number of multiple electrode pairs to be measured based on the change pattern of the ice detection performance of the ice layer detection sensor, input the preset range information, preset detection area information, preset electrode width and gap ratio information, and the number of each electrode pair to be measured into a pre-built sensor simulation model for simulation, and obtain the sensitivity information corresponding to each electrode pair to be measured.

[0044] For example, in an embodiment of the present application, different numbers of electrode pairs to be tested, preset range information, preset detection area information, and preset electrode width to gap ratio information are input into a sensor simulation model for simulation, and the sensitivity information corresponding to each number of electrode pairs to be tested can be determined.

[0045] Step a3: determining the number of electrode pairs that meet preset requirements from the multiple electrode pairs to be tested based on the sensitivity information corresponding to the multiple electrode pairs to be tested and the target sensitivity information.

[0046] Exemplarily, in an embodiment of the present application, if the sensitivity information of the electrode pair n to be tested is greater than or equal to the target sensitivity information, then it is determined whether the sensitivity information of the electrode pair n+Δn to be tested is greater than or equal to the target sensitivity information, until the sensitivity information is less than the target sensitivity information, then the last electrode pair to be tested that makes the sensitivity greater than or equal to the target sensitivity information is taken as the target electrode pair.

[0047] In step a4, if the signal strength of the ice layer detection sensor corresponding to the number of electrode pairs that meets the preset requirement meets the preset anti-interference requirement, the number of electrode pairs that meets the preset requirement is used as the target number of electrode pairs.

[0048] The target electrode width and the target electrode gap are determined based on the target number of electrode pairs and preset electrode width to gap ratio information.

[0049] For example, in the embodiment of the present application, when the cross indexes of the two plates are not equal, the target electrode width is calculated by the following formula (2):

[0050]

[0051] When the cross indexes of the two plates are equal, the target electrode width is calculated by the following formula (3):

[0052]

[0053] Where L is the length of the plate, n is the cross index of the plate, and γ = w / a is the ratio of the electrode width to the gap. When the cross indexes of the two plates are not equal, n is the cross index of the plate on the side with more cross fingers.

[0054] In some optional embodiments, if the signal strength of the ice layer detection sensor corresponding to the number of electrode pairs that meet the preset requirements does not meet the preset anti-interference requirements, the preset detection area is increased to obtain an adjusted detection area; based on the adjusted detection area, the sensitivity information and signal strength information of the ice layer detection sensor corresponding to each electrode pair to be tested are simulated and calculated until the signal strength of the ice layer detection sensor corresponding to the number of electrode pairs that meet the preset requirements meets the preset anti-interference requirements, and the number of electrode pairs that meet the preset requirements is used as the target number of electrode pairs.

[0055] In this embodiment, if the sensor signal strength after determining the number of interdigital pairs meets the sensor anti-interference requirements, the design is complete. If it does not meet the requirements, the detection area is increased by S + Δs ​​and the simulation is repeated. By increasing the number of interdigital pairs, the detection area is increased, so that the sensor signal strength meets the sensor anti-interference requirements.

[0056] Specifically, when the sensing area is 3.8cm*6.1cm and the ratio of interdigital width to gap is 1, assuming the ice sensor sensitivity is required to be no less than 1*10-2pF / mm and the measuring range is no less than 10mm, simulations were performed with interdigital pairs of 4, 6, 8, 10, 12, 14, and 16, respectively, without changing the sensing area. The calculation shows that when the number of interdigital pairs is 6, the sensitivity when measuring 11mm thick ice is 1.05*10-2pF / mm, and the signal strength is 16.007pF. Therefore, the number of interdigital pairs of this sensor is 6, and the interdigital width and gap are 2.9048mm.

[0057] The ice layer thickness detection device of this embodiment is the same. The ice layer detection data collected by the ice layer detection sensor will change with the thickness and temperature of the ice layer. The control module is used to analyze the ice layer freezing data and the ice layer temperature data to accurately determine the thickness information of the ice layer, thereby realizing accurate detection of the ice layer thickness. The parameter information of the ice layer detection sensor is determined through simulation, making the detection result of the ice layer detection sensor more accurate, solving the problem in related technologies that the thickness of the ice layer on the wind turbine blades cannot be monitored.

[0058] According to an embodiment of the present invention, an embodiment of a method for detecting ice thickness is provided. It should be noted that the steps shown in the flowcharts 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 flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0059] In this embodiment, a method for detecting ice thickness is provided, which can be used in the controller of the ice thickness detection device of the above embodiment. Figure 3 FIG. 1 is a flow chart of a method for detecting ice thickness according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0060] Step S301: acquiring target freezing data and target temperature data of the ice layer.

[0061] For example, in the embodiment of the present application, the target icing data is sensor data detected by the ice layer detection sensor, and the target temperature data is ice layer temperature sensor data collected by the temperature sensor.

[0062] Step S302: extracting the correlation information between the freezing data and the ice thickness at the target temperature based on the target temperature data.

[0063] For example, the correlation information between the freezing data and the ice layer thickness is different at different temperatures. In an embodiment of the present application, the correlation information between the freezing data and the ice layer thickness can be a correspondence table between the freezing data and the ice layer thickness data. The correspondence between the freezing data and the ice layer thickness data can be determined through simulation or experiment.

[0064] Step S303 : determining the thickness information of the ice layer based on the correlation information between the icing data and the ice layer thickness at the target temperature and the target icing data.

[0065] For example, based on the correlation information between the icing data and the ice thickness at the target temperature, the ice thickness data corresponding to the target icing data may be determined.

[0066] The ice thickness detection method provided in this embodiment determines the ice thickness information based on the correlation information between the freezing data and the ice thickness at the target temperature and the target freezing data, thereby achieving accurate detection of the ice thickness and solving the problem in related technologies of being unable to monitor the ice thickness on wind turbine blades.

[0067] This embodiment also provides an ice thickness detection device for implementing the aforementioned embodiments and preferred implementations. Details already described will not be repeated. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. While the devices described in the following embodiments are preferably implemented using software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0068] This embodiment provides an ice thickness detection device, such as Figure 4 Shown, including:

[0069] An acquisition module 401 is used to acquire target freezing data and target temperature data of the ice layer;

[0070] Extraction module 402, configured to extract, based on target temperature data, correlation information between ice formation data and ice thickness at a corresponding target temperature;

[0071] The determination module 403 is configured to determine the thickness of the ice layer based on the correlation information between the icing data at the target temperature and the ice layer thickness and the target icing data.

[0072] The further functional description of each of the above modules is the same as that of the above corresponding embodiments and will not be repeated here.

[0073] The ice thickness detection device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0074] The embodiment of the present invention also provides a computer device having the above Figure 4 The ice thickness detection device shown.

[0075] See also Figure 5 , Figure 5 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 5As shown, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in the memory or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 A processor 10 is taken as an example.

[0076] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0077] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0078] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device 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.

[0079] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0080] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0081] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0082] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0083] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. An ice thickness detection device, characterized in that: The device includes: an ice layer detection sensor, a temperature sensor and a control module; The ice layer detection sensor is used to detect ice data of the ice layer, and the ice layer detection sensor is a multi-electrode sensor of target parameters; The temperature sensor is used to detect the temperature data of the ice layer; The control module is connected to the ice layer detection sensor and the temperature sensor respectively, and is used to analyze the freezing data of the ice layer and the temperature data of the ice layer to determine the thickness information of the ice layer; The target parameters include target electrode pairs, target electrode width, target electrode gap, and preset electrode width to gap ratio information, and the preset electrode width to gap ratio information is determined by the following steps: The preset sensor simulation model was used to simulate the ice detection performance of the ice detection sensor under different electrode gaps, different electrode widths, different electrode width to gap ratios, different electrode lengths, and different detection area areas, and the changing pattern of the ice detection performance of the ice detection sensor was obtained. Determining the preset electrode width to gap ratio information based on a change pattern of ice detection performance of the ice layer detection sensor; The target number of electrode pairs, target electrode width, and target electrode gap are determined by the following steps: Obtain target sensitivity information, preset range information, and preset detection area information of the multi-electrode sensor; According to the variation pattern of the ice detection performance of the ice layer detection sensor, the number of electrode pairs to be tested is determined, and the preset range information, preset detection area information, preset electrode width to gap ratio information, and the number of electrode pairs to be tested are input into a pre-built sensor simulation model for simulation, so as to obtain the sensitivity information and signal strength information of the ice layer detection sensor corresponding to each number of electrode pairs to be tested; Determining the number of electrode pairs that meet preset requirements from the multiple electrode pairs to be tested according to the sensitivity information corresponding to the multiple electrode pairs to be tested and the target sensitivity information; If the signal strength of the ice layer detection sensor corresponding to the number of electrode pairs that meets the preset requirements meets the preset anti-interference requirements, the preset number of electrode pairs is used as the target number of electrode pairs; The target electrode width and the target electrode gap are determined based on the target electrode pair number and the preset electrode width to gap ratio information.

2. The device according to claim 1, characterized in that The target number of electrode pairs, target electrode width, and target electrode gap are also determined by the following steps: If the signal strength of the ice layer detection sensor corresponding to the number of electrode pairs that meets the preset requirements does not meet the preset anti-interference requirements, increase the preset detection area to obtain an adjusted detection area; Based on the adjusted detection area, the sensitivity information and signal strength information of the ice layer detection sensor corresponding to each electrode pair to be tested are simulated and calculated until the signal strength of the ice layer detection sensor corresponding to the electrode pair that meets the preset requirements meets the preset anti-interference requirements, and the electrode pair that meets the preset requirements is used as the target electrode pair.

3. The device according to claim 1, characterized in that The device further includes a power supply module, which is connected to the ice layer detection sensor, the temperature sensor and the control module respectively and is used to supply power to the ice layer detection sensor, the temperature sensor and the control module.

4. The device according to claim 3, characterized in that The device also includes: a communication module, which is respectively connected to the ice layer detection sensor, the temperature sensor, the control module and the power supply module, and is used to send the freezing data of the ice layer, the temperature data of the ice layer and the thickness information of the ice layer to the display terminal.

5. A method for detecting ice thickness, characterized in that: A controller for an ice thickness detection device according to any one of claims 1 to 4, wherein the method comprises: Obtain target freezing data and target temperature data of the ice layer; Extracting correlation information between ice formation data and ice thickness at a corresponding target temperature based on the target temperature data; The thickness information of the ice layer is determined based on the correlation information between the icing data and the ice layer thickness at the target temperature and the target icing data.

6. An ice thickness detection device, characterized in that: A controller for an ice thickness detection device according to any one of claims 1 to 4, the device comprising: An acquisition module, used for acquiring target freezing data and target temperature data of the ice layer; An extraction module is used to extract the correlation information between the ice formation data and the ice thickness at the corresponding target temperature based on the target temperature data; The determination module is configured to determine the thickness information of the ice layer based on the correlation information between the icing data at the target temperature and the ice layer thickness and the target icing data.

7. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the ice thickness detection method according to claim 5 by executing the computer instructions.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the ice thickness detection method according to claim 5.

9. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions are used to enable a computer to execute the ice thickness detection method according to claim 5.

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