De-icing device and method for a lidar wind lidar

Abstract

The application relates to the technical field of laser radar wind measurement, and particularly relates to an ice removing device and method of a laser radar wind measurement equipment, which comprises an intelligent sensing module, a composite heating module and a control module. The intelligent sensing module collects multi-dimensional environmental parameters of the environment where the equipment is located in real time. The composite heating module is composed of at least two heating units, and can perform hierarchical heating on the observation window area according to a heating control instruction. The control module is signal-connected with the foregoing modules, performs risk identification based on the multi-dimensional environmental parameters, generates different levels of heating control instructions and sends the heating control instructions to the composite heating module. The system effectively prevents the observation window from frosting or icing by dynamically adjusting the heating strategy, improves the stable operation capability of the equipment in a severe environment such as low temperature and high humidity, guarantees the continuity and accuracy of the laser radar wind measurement data, and prolongs the service life of the equipment.

Description

Technical Field

[0001] This invention relates to the field of lidar wind measurement technology, specifically to a de-icing device and method for lidar wind measurement equipment. Background Technology

[0002] LiDAR (LiDAR) wind measurement equipment is an active remote sensing device that infers meteorological elements such as wind speed and direction by emitting laser beams and receiving signals reflected from aerosols in the atmosphere. Due to its high measurement accuracy, wide range, and convenient deployment, it has been widely used in wind farm wind resource assessment, power prediction, and meteorological monitoring. These devices often need to operate unattended for extended periods in harsh environments such as the field, mountains, and coastlines, inevitably facing challenges from complex meteorological conditions such as rain, snow, and freezing. Snow or ice accumulation on the lens surface can severely attenuate the transmission and reception of laser signals, leading to decreased data quality or even complete failure of the device's measurement function. Therefore, its reliable operation highly depends on effective protective measures.

[0003] Currently, the most common existing technology to address the reliable operation of lidar wind measurement equipment in low-temperature, icy, and snowy environments is to install external protective devices. These can be divided into two categories: mechanical protection, such as adding a motor-driven scraper or brush (similar to a car windshield wiper) to the outside of the lens to periodically remove snow; and heating protection, which typically involves integrating heating wires inside the equipment casing or arranging hot air vents around the lens to raise the local ambient temperature and prevent icing or melt thin snow. Mechanical protection carries the risk of abrading the lens surface and affecting optical performance, and its scraping efficiency is limited during continuous snowfall. Heating protection has high energy consumption, and localized overheating may damage the equipment's electronic components. Furthermore, it is insufficient in protecting against thick snow accumulation or continuous snowfall, failing to fully meet the reliable operation requirements under complex weather conditions. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a de-icing device and method for a lidar wind measurement device, which addresses the shortcomings of the prior art and solves the technical problems of single heating control and poor environmental adaptability.

[0005] The objective of this invention is achieved through the following technical solutions: In a first aspect, the present invention provides a de-icing device for a lidar wind measurement equipment, comprising: The intelligent sensing module is used to collect multi-dimensional environmental parameters of the environment in which the lidar wind measuring device is located in real time; A composite heating module includes at least two heating units, which are used to heat the observation window area of ​​the lidar wind measurement device according to heating control commands; The control module is connected to the intelligent sensing module and the composite heating module respectively, and is used to identify risks based on the multi-dimensional environmental parameters, generate heating control commands of different levels, and send the heating control commands to the composite heating module.

[0006] As a further improvement of the present invention, the composite heating module includes: The first heating unit is attached to the light-transmitting surface of the observation window lens of the lidar wind measuring device, and is used to heat the surface of the lens in a planar manner. The second heating unit is arranged around the periphery of the cabin body that houses the observation window lens, and is used to heat or keep the cabin body warm.

[0007] As a further improvement of the present invention, the first heating unit adopts a transparent flexible electrothermal film, which includes two layers of transparent polyimide film and a nano-silver wire conductive mesh sandwiched between the two layers of transparent polyimide film.

[0008] As a further improvement of the present invention, the second heating unit adopts a semiconductor heating strip, which includes a PTC semiconductor ceramic heating core and a silicone layer that wraps the PTC semiconductor ceramic heating core.

[0009] As a further improvement of the present invention, the intelligent sensing module includes a temperature sensor for sensing the ambient temperature and a precipitation sensor for detecting whether precipitation has occurred.

[0010] As a further improvement of the present invention, the control module includes a microcontroller unit and a power switch unit controlled by the microcontroller unit; the microcontroller unit is used to run a control algorithm, generate heating control commands based on the multi-source environmental parameters, and control the heating unit of the composite heating module through the power switch unit.

[0011] As a further improvement of the present invention, the control algorithm is configured as follows: When the multi-source environmental parameters meet the first preset condition, a first control command is generated to drive the composite heating module to execute a first heating mode, wherein the first heating mode is to simultaneously start the first heating unit and the second heating unit. When the multi-source environmental parameters meet the second preset condition, a second control command is generated to drive the composite heating module to execute the second heating mode. The second heating mode is to start the second heating unit and keep the first heating unit off. When the multi-source environmental parameters do not meet the first preset condition and the second preset condition, the composite heating module is controlled to shut down.

[0012] As a further improvement of the present invention, the first preset condition is an icing risk situation, which refers to the presence of precipitation and an ambient temperature lower than a first temperature threshold; the second preset condition is a dew risk situation, which includes no precipitation and an ambient temperature lower than a second temperature threshold.

[0013] Secondly, the present invention provides a de-icing method for a lidar wind measuring device, comprising: Obtain multi-dimensional environmental parameters of the environment in which the lidar wind measurement device is located; Based on the multidimensional environmental parameters, identify the types of thermodynamic risks currently present in the observation window area of ​​the equipment, including at least icing risk and condensation risk; Based on the identified thermodynamic risk type, a corresponding graded heating strategy is selected and executed to perform differentiated heating treatment on the observation window region.

[0014] As a further improvement of the present invention, the step of selecting and executing a corresponding graded heating strategy based on the identified thermodynamic risk type includes: If the risk type is identified as icing risk, the first heating strategy is implemented: the first heating unit attached to the observation window lens and the second heating unit surrounding the equipment cabin are controlled to work simultaneously; If the risk type is identified as condensation risk, a second heating strategy is executed: the second heating unit is controlled to operate, while the first heating unit remains inactive.

[0015] The beneficial effects of this invention are as follows: This invention provides a de-icing device for a lidar wind measurement device. It uses an intelligent sensing module to collect multi-dimensional environmental parameters of the environment in which the lidar wind measurement device is located in real time, achieving accurate acquisition of these parameters. The composite heating module includes at least two heating units, which can perform multi-unit coordinated heating of the observation window area according to heating control commands, improving heating efficiency and uniformity. The control module is connected to both the intelligent sensing module and the composite heating module, enabling risk identification based on multi-dimensional environmental parameters and generating heating control commands of different levels, achieving precise hierarchical heating control. Through the synergistic effect of the intelligent sensing module, the composite heating module, and the control module, the heating control of the observation window of the lidar wind measurement device in complex environments becomes more intelligent and efficient, solving the technical problems of single heating control and poor environmental adaptability in existing technologies, and improving the operational stability of the equipment in harsh environments such as low temperature and high humidity. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a structural diagram of the de-icing device of the lidar wind measuring equipment in an embodiment of the present invention; Figure 2 This is a structural diagram of the de-icing method of the lidar wind measuring device in an embodiment of the present invention; In the figure, 101 is a transparent flexible electrothermal film; 102 is a semiconductor heating belt; 103 is a sensor group; 104 is a control box; 200 is a lidar wind measurement device; 201 is an observation window lens; 202 is a lens housing; and 203 is an equipment shell. Detailed Implementation

[0018] To make the objectives and technical solutions of this invention clearer and easier to understand, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0019] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. The described embodiments are only some embodiments of the present invention, and not all embodiments.

[0020] Example 1 This embodiment provides a de-icing device for a lidar wind measurement equipment. The device mainly includes an intelligent sensing module, a composite heating module, and a control module.

[0021] The intelligent sensing module is used to collect multi-dimensional environmental parameters of the environment in which the lidar wind measuring device is located in real time.

[0022] The composite heating module includes at least two heating units, which are used to heat the observation window area of ​​the lidar wind measurement equipment according to heating control commands.

[0023] The control module is connected to the intelligent sensing module and the composite heating module respectively, and is used to identify risks based on the multi-dimensional environmental parameters, generate heating control commands of different levels, and send the heating control commands to the composite heating module.

[0024] The device in this embodiment collects multi-dimensional environmental parameters of the environment in which the lidar wind measurement equipment is located in real time through an intelligent sensing module. This enables it to accurately capture changes in environmental conditions and provide comprehensive and reliable data support for risk identification. By using a composite heating module with at least two heating units, it can achieve graded heating according to actual needs, avoiding the drawbacks of excessive energy consumption or insufficient heating effect in a single heating mode. Compared with existing mechanical scraping protection or single heating protection, this device is more flexible and targeted. The control module is connected to both the intelligent sensing module and the composite heating module, respectively. Based on multi-dimensional environmental parameters, it identifies risks and generates heating control commands of different levels, achieving precise control of the heating process. This eliminates vibration interference caused by mechanical scraping and thermal distortion caused by rough heating in existing technologies. This device not only effectively avoids the impact of snow and ice accumulation in the observation window area on laser signal transmission but also significantly reduces equipment energy consumption, greatly improving the operational reliability and measurement accuracy of the lidar wind measurement equipment in harsh environments.

[0025] In a preferred embodiment of this invention, the composite heating module includes: a first heating unit, attached to the light-transmitting surface of the observation window lens of the lidar wind measurement device, for surface heating of the lens surface; and a second heating unit, arranged around the periphery of the cabin housing the observation window lens, for heating or insulating the cabin. The first heating unit, attached to the light-transmitting surface of the observation window lens of the lidar wind measurement device, achieves direct surface heating of the lens surface, effectively preventing localized frost or ice formation, improving heating efficiency, and avoiding uneven heating of the light-transmitting surface due to point heating. The second heating unit, arranged around the periphery of the cabin housing the observation window lens, maintains a stable internal temperature of the cabin by heating or insulating it, reducing the impact of external temperature fluctuations on device performance. Through the synergistic effect of the first and second heating units, a three-dimensional heating and insulation structure is formed from the lens surface to the outside of the cabin, achieving a dual improvement in heating efficiency and insulation performance in the observation window area, ensuring the continuous and stable operation of the lidar wind measurement device in low-temperature environments.

[0026] In a preferred embodiment of this invention, the first heating unit employs a transparent flexible electrothermal film. This transparent flexible electrothermal film comprises two layers of transparent polyimide film and a conductive nanowire mesh sandwiched between the two layers of transparent polyimide film. The use of this transparent flexible electrothermal film in the first heating unit achieves heating while maintaining light transmittance, avoiding interference with the normal optical detection of the lidar. The electrothermal film, composed of two layers of transparent polyimide film, provides structural support and electrical insulation protection, enhancing durability and preventing leakage risks. The conductive nanowire mesh sandwiched between the two layers of transparent polyimide film distributes heat evenly through high conductivity, improving heating efficiency and preventing localized overheating. Through the transparent flexible electrothermal film, the transparent polyimide film, and the conductive nanowire mesh, a highly efficient, uniform, and transparent heating structure is formed, achieving dual optimization of heating and optical performance, ensuring the lidar wind measurement equipment operates continuously and stably in low-temperature environments.

[0027] Furthermore, the second heating unit employs a semiconductor heating strip. This strip comprises a PTC semiconductor ceramic heating core and a silicone layer encasing it. The use of a semiconductor heating strip in the second heating unit achieves a compact heating structure and improves heating efficiency. The PTC semiconductor ceramic heating core within the strip has a positive temperature coefficient, automatically reducing power output as temperature rises, effectively avoiding overheating risks and enhancing the safety of the heating process. The silicone layer encasing the PTC semiconductor ceramic heating core provides electrical insulation and waterproof sealing, extending the heating strip's lifespan while preventing leakage faults. Therefore, the semiconductor heating strip forms a heating structure that combines automatic temperature control and multiple protections, solving the technical problems of overheating and poor protection performance in existing technologies. This ensures safe and controllable heating and long-term stable operation, guaranteeing the continuous and reliable operation of the lidar wind measurement equipment in complex environments.

[0028] The intelligent sensing module includes a temperature sensor for sensing ambient temperature and a precipitation sensor for detecting whether precipitation has occurred. Therefore, the multidimensional environmental parameters include ambient temperature signals and precipitation status signals. As another preferred embodiment, the intelligent sensing module also includes a humidity sensor, a water level sensor, etc. These are not limited here.

[0029] The control module includes a microcontroller unit and a power switch unit controlled by the microcontroller unit; the microcontroller unit is used to run control algorithms, generate heating control commands based on multi-source environmental parameters, and control the heating unit of the composite heating module through the power switch unit.

[0030] Furthermore, the microcontroller unit is an MCU motherboard. The power switch unit is a relay module.

[0031] The control algorithm is configured as follows: when the multi-source environmental parameters meet the first preset condition, a first control command is generated to drive the composite heating module to execute the first heating mode, which is to simultaneously start the first heating unit and the second heating unit; when the multi-source environmental parameters meet the second preset condition, a second control command is generated to drive the composite heating module to execute the second heating mode, which is to start the second heating unit and keep the first heating unit off; when neither of the multi-source environmental parameters meets the first preset condition nor the second preset condition, the composite heating module is controlled to shut down.

[0032] Furthermore, the first preset condition is a freezing risk situation, which refers to the presence of precipitation and an ambient temperature below a first temperature threshold; the second preset condition is a condensation risk situation, which includes the absence of precipitation and an ambient temperature below a second temperature threshold. For example, the first temperature threshold is 3°C.

[0033] The control algorithm generates a first control command when multi-source environmental parameters meet a first preset condition (precipitation and ambient temperature below a first temperature threshold). This command drives the composite heating module to execute a first heating mode that simultaneously activates the first and second heating units, effectively addressing the risk of icing and achieving efficient dual heating of the observation window and the cabin, quickly eliminating the risk of icing. When the second preset condition is met (no precipitation and ambient temperature below a second temperature threshold), a second control command is generated, driving the execution of a second heating mode that activates the second heating unit and shuts down the first heating unit. This specifically prevents the risk of condensation, reduces unnecessary energy consumption of the first heating unit, and maintains stable internal cabin temperature. When environmental parameters do not meet the preset conditions, the composite heating module is shut down to avoid ineffective heating and reduce energy waste. Based on a risk-type graded control heating mode switching logic, combined with the identification of icing risk under the first preset condition and the identification of condensation risk under the second preset condition, an intelligent graded heating control strategy is formed. This solves the technical problems of single heating mode and imprecise energy consumption control in existing technologies, achieving a synergistic improvement in heating efficiency, energy consumption optimization, and environmental adaptability.

[0034] In the event of a freezing risk, the transparent flexible electric heating film and semiconductor heating strip are activated in full-power heating mode. In the event of low temperature and no precipitation, the semiconductor heating strip is activated in heat preservation mode. In the event of a safe condition, the composite heating module is turned off and switched to sleep monitoring mode.

[0035] In addition, the device is powered by the original power supply of the lidar wind measurement equipment or an independent solar power system, and the MCU motherboard remains in a low-power standby state until the intelligent sensing module detects environmental data that requires heating to be started.

[0036] Example 2 Based on the de-icing device of the lidar anemometer in this embodiment, this embodiment provides a de-icing method for lidar anemometers, such as... Figure 2 As shown, the de-icing method specifically includes: Acquire multi-dimensional environmental parameters of the environment where the lidar wind measurement equipment is located; based on the multi-dimensional environmental parameters, identify the types of thermodynamic risks currently existing in the observation window area of ​​the equipment, including at least icing risk and condensation risk; select and execute the corresponding graded heating strategy according to the identified thermodynamic risk types to carry out differentiated heating treatment on the observation window area.

[0037] Identifying thermodynamic risk types based on multidimensional environmental parameters includes: analyzing precipitation state parameters and ambient temperature parameters among the multidimensional environmental parameters; if it is determined that there is precipitation and the ambient temperature is below a first temperature threshold, it is identified as a freezing risk; if it is determined that there is no precipitation but the ambient temperature is below a second temperature threshold, it is identified as a condensation risk.

[0038] Based on the identified thermodynamic risk type, a corresponding graded heating strategy is selected and executed, including: if the risk type is identified as icing risk, a first heating strategy is executed: the first heating unit attached to the observation window lens and the second heating unit surrounding the equipment cabin are controlled to work simultaneously; if the risk type is identified as condensation risk, a second heating strategy is executed: the second heating unit is controlled to work, while the first heating unit is kept inactive.

[0039] To address the issues of vibration and thermal distortion caused by internal heating in existing mechanical de-icing methods, this embodiment employs a transparent, flexible electrothermal film conformally to the lens for planar heating. This improvement ensures uniform heat distribution, preventing lens deformation or refractive index changes due to excessive temperature differences, thus completely eliminating the root cause of optical measurement errors. Simultaneously, the entire de-icing process involves no mechanical movement, completely eliminating vibration interference with precision optical measurements and ensuring data accuracy.

[0040] Furthermore, the device in this embodiment has a simple structure and is easy to implement. This embodiment requires no complex modifications to the lidar unit; the device mainly consists of an attached electrothermal film, a surrounding heating belt, and a standard sensor, resulting in a compact structure and convenient assembly. Hardware-wise, no custom precision mechanical parts are required, reducing manufacturing difficulty and helping to control manufacturing costs while ensuring production quality.

[0041] Example 3 The core of the de-icing device based on the lidar wind measurement equipment in Example 1 lies in its ability to intelligently sense environmental conditions and dynamically invoke a graded heating strategy, thereby achieving efficient and low-consumption anti-icing and snow removal. The specific steps are as follows: First, the system continuously collects environmental data around the equipment using integrated temperature, humidity, and precipitation sensors. Then, the built-in microcontroller unit (MCU) runs a control algorithm to analyze the data in real time: if precipitation is detected and the ambient temperature is below a set threshold (e.g., 3°C), an icing risk is identified, and full-power heating mode is immediately activated, simultaneously activating the transparent electric heating film and the semiconductor heating belt to quickly melt ice and prevent secondary condensation. If only the temperature is below the threshold but there is no precipitation, a heat preservation mode is activated, turning on only the semiconductor heating belt to maintain the internal temperature slightly above the dew point to prevent internal condensation. If all environmental conditions are above the safety threshold, the system enters sleep mode, shutting down all heating units and keeping only sensor monitoring and the MCU in standby mode. The entire process requires no manual intervention, achieving fully automatic closed-loop control from "perception-decision-execution."

[0042] See appendix Figure 1 The device described in this invention is specifically composed of the following components: Transparent flexible electrothermal film 101: This is a flexible film with high optical transmittance, cut to perfectly conform to the curved surface of the observation window lens 201 of the lidar wind measuring device 200, allowing it to adhere tightly to the outer surface of the lens. Its structure consists of two layers of transparent polyimide film sandwiched with a uniform nano-silver wire conductive mesh. Its function is as the main heating surface; when energized, it generates far-infrared radiation, which can uniformly and efficiently melt ice and snow on the lens surface. Furthermore, due to its transparency and high adhesion, it has minimal impact on the penetration of the laser signal.

[0043] Semiconductor heating band 102: This is a strip-shaped heating element that is tightly wrapped around and fixed to the outer wall of the lens housing 202. It is constructed of a silicone-coated PTC (Positive Temperature Coefficient) semiconductor ceramic heating core. Its function is to provide auxiliary heating and insulation for the optical chamber. Its PTC characteristics give it a self-limiting temperature function to prevent overheating and ensure safety.

[0044] Sensor group 103 includes a temperature sensor, a humidity sensor, and an optical precipitation sensor. They are mounted on the device housing 203 using mounting brackets, with spatial positioning ensuring accurate sensing of the external environment. They are electrically connected to the MCU motherboard inside the control box 104 via cables.

[0045] Control box 104: This is a sealed enclosure containing an MCU mainboard and a relay module. The MCU mainboard receives signals from the sensor group 103 via cables and outputs control signals to the relay module, which controls the power supply to the heating film 101 and the semiconductor heating strip 102. The entire device is powered by the original power supply or an independent solar power system.

[0046] The operation of the device in this embodiment is as follows: After the system is powered on, the sensor group 103 continuously collects data and sends it to the MCU. The MCU determines the current environmental state based on its built-in algorithm and drives the relay to execute the corresponding heating strategy (full power / heat preservation / sleep). For example, when snowfall and low temperature are detected, the MCU controls the relay to close, supplying power to the electric heating film 101 and the heating belt 102 to begin melting the snow; after the sensor detects that the temperature in the lens area has risen to a safe value and the precipitation has stopped, the MCU disconnects the power supply after a delay, and the system returns to the monitoring state.

[0047] Example 4 In another embodiment of the present invention, a computer-readable storage medium is provided as a storage component within a terminal device, the function of which is to store programs and data. It should be noted that the computer-readable storage medium here encompasses not only the built-in storage components of the terminal device but also extended storage components supported by the device. Essentially, it is a tangible medium capable of containing or storing programs that can be invoked by or in conjunction with an instruction execution system, device, or apparatus. This storage medium provides storage areas for the terminal's operating system and stores one or more instructions suitable for processor loading and execution, which can constitute one or more computer programs containing program code.

[0048] Specifically, examples of computer-readable storage media (a non-exclusive list) include: electrical connections with one or more wires, portable disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, optical fibers, portable optical disc read-only memory, optical storage devices, magnetic storage devices, or any reasonable combination of the above types.

[0049] The storage medium may also include data signals propagated as part of a baseband portion or a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any reasonable combination of both. Furthermore, computer-readable storage medium may also refer to other readable media besides conventional readable storage media, capable of sending, propagating, or transmitting programs for use or operation by an instruction execution system, apparatus, or device. Program code on the storage medium can be transmitted via any suitable medium, including but not limited to wireless, wired, optical fiber, or any reasonable combination thereof.

[0050] The program code used to implement the operations of this invention can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C. The execution modes of the program code include: running entirely on the user's computing device, running partially on the user's device as a standalone software package, running partially in a distributed manner on both the user's device and a remote computing device, or running entirely on a remote computing device or server. When a remote computing device is involved, the device can be connected to the user's computing device via any type of network such as a local area network (LAN) or a wide area network (WAN), or connected to an external computing device via the Internet through an Internet service provider.

[0051] The processor is capable of loading and executing one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the de-icing method of the lidar wind measuring device described in Embodiment 1.

[0052] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

Claims

1. A de-icing device for a lidar wind measurement equipment, characterized in that, include: The intelligent sensing module is used to collect multi-dimensional environmental parameters of the environment in which the lidar wind measuring device is located in real time; A composite heating module includes at least two heating units, which are used to heat the observation window area of ​​the lidar wind measurement device according to heating control commands; The control module is connected to the intelligent sensing module and the composite heating module respectively, and is used to identify risks based on the multi-dimensional environmental parameters, generate heating control commands of different levels, and send the heating control commands to the composite heating module.

2. The de-icing device of the lidar wind measuring equipment according to claim 1, characterized in that, The composite heating module includes: The first heating unit is attached to the light-transmitting surface of the observation window lens of the lidar wind measuring device, and is used to heat the surface of the lens in a planar manner. The second heating unit is arranged around the periphery of the cabin body that houses the observation window lens, and is used to heat or keep the cabin body warm.

3. The de-icing device of the lidar wind measuring equipment according to claim 2, characterized in that, The first heating unit uses a transparent flexible electrothermal film, which includes two layers of transparent polyimide film and a nano-silver wire conductive mesh sandwiched between the two layers of transparent polyimide film.

4. The de-icing device for the lidar wind measurement equipment according to claim 2, characterized in that, The second heating unit uses a semiconductor heating strip, which includes a PTC semiconductor ceramic heating core and a silicone layer that wraps around the PTC semiconductor ceramic heating core.

5. The de-icing device for the lidar wind measurement equipment according to claim 1, characterized in that, The intelligent sensing module includes a temperature sensor for sensing ambient temperature and a precipitation sensor for detecting whether precipitation has occurred.

6. The de-icing device for the lidar wind measurement equipment according to claim 2, characterized in that, The control module includes a microcontroller unit and a power switch unit controlled by the microcontroller unit; the microcontroller unit is used to run a control algorithm, generate heating control commands based on the multi-source environmental parameters, and control the heating unit of the composite heating module through the power switch unit.

7. The de-icing device for the lidar wind measurement equipment according to claim 6, characterized in that, The control algorithm is configured as follows: When the multi-source environmental parameters meet the first preset condition, a first control command is generated to drive the composite heating module to execute a first heating mode, wherein the first heating mode is to simultaneously start the first heating unit and the second heating unit. When the multi-source environmental parameters meet the second preset condition, a second control command is generated to drive the composite heating module to execute the second heating mode. The second heating mode is to start the second heating unit and keep the first heating unit off. When the multi-source environmental parameters do not meet the first preset condition and the second preset condition, the composite heating module is controlled to shut down.

8. The de-icing device of the lidar wind measuring equipment according to claim 7, characterized in that, The first preset condition is an icing risk situation, which refers to the presence of precipitation and an ambient temperature below a first temperature threshold; the second preset condition is a dew risk situation, which includes no precipitation and an ambient temperature below a second temperature threshold.

9. A method for de-icing a lidar wind measuring device, characterized in that, The de-icing device for the lidar wind measurement equipment according to any one of claims 1 to 8 comprises: Obtain multi-dimensional environmental parameters of the environment in which the lidar wind measurement device is located; Based on the multidimensional environmental parameters, identify the types of thermodynamic risks currently present in the observation window area of ​​the equipment, including at least icing risk and condensation risk; Based on the identified thermodynamic risk type, a corresponding graded heating strategy is selected and executed to perform differentiated heating treatment on the observation window region.

10. The de-icing method for the lidar wind measuring device according to claim 9, characterized in that, The step of selecting and executing a corresponding graded heating strategy based on the identified thermodynamic risk type includes: If the risk type is identified as icing risk, the first heating strategy is implemented: the first heating unit attached to the observation window lens and the second heating unit surrounding the equipment cabin are controlled to work simultaneously; If the risk type is identified as condensation risk, a second heating strategy is executed: the second heating unit is controlled to operate, while the first heating unit remains inactive.

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