A method and device for monitoring ice and vibration based on wireless communication

Abstract

The present invention relates to the technical field of wind turbine blade monitoring, and discloses an icing and vibration monitoring method and device based on wireless communication. The present invention obtains the power information set of the power supply module through the power meter, and controls the operation of the temperature sensor module and the acceleration sensor module according to the power information set and collects the corresponding temperature data and acceleration data, and then controls the operation of the icing sensor module and obtains the icing data according to the temperature data and the power information set, and calculates the corresponding vibration parameters according to the obtained acceleration data, thereby realizing effective monitoring of the ice thickness, temperature and vibration of the surface of the wind turbine blade. Furthermore, the operation of the icing sensor module is controlled by the temperature data, so that the icing sensor module only operates when the temperature data meets the preset requirements, thereby reducing power consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine blade monitoring, and in particular to an icing and vibration monitoring method and device based on wireless communication. Background Art

[0002] Ice formation is a common natural phenomenon, and ice can cause serious harm to normal production and life. Ice on wind turbine blades can cause wind turbines to be unable to generate electricity normally, ice on power transmission and transformation equipment can cause the power grid to be unable to operate safely and stably, and ice on wings can cause aircraft to be unable to fly safely. At present, the main means of ice monitoring include mechanical method / weighing method, image method, fiber optic sensing method, etc. The mechanical method / weighing method calculates the ice thickness by measuring the strain or weight change of the object being measured after ice coating. The image method obtains ice images through cameras or drones, and uses image recognition technology to calculate the ice thickness. The fiber optic sensing method obtains the stress change of the object being measured through grating sensors or distributed Brillouin scattering fiber optic sensors to calculate the ice thickness. In addition, there are also some applications for measuring the ice thickness by measuring the change in vibration frequency or impedance of the ice-covered object, but these measurement methods have low accuracy in measuring the ice thickness. The above-mentioned monitoring devices generally use wired or wireless communication methods, and the overall operating power consumption is generally large, and they need to be powered by city electricity or large-capacity solar panels combined with batteries. However, for some application scenarios such as wind turbine blades and aircraft wings, the requirements for the surface contour are very high. The traditional large-volume ice monitoring sensors and power supply systems cannot be deployed and are not suitable. It is also difficult to implement the wiring of power supply. For the above scenarios, it is necessary to develop a monitoring device that does not require wiring for power supply. Not only does it require the power supply system to be small in size and not affect the aerodynamic performance of the surface, but it also requires the device to have extremely low operating power consumption. The power consumption of wireless communication is generally high, which is closely related to the communication distance and data transmission capacity. Therefore, there are huge technical difficulties in achieving low-power operation of ice and vibration monitoring devices. Summary of the invention

[0003] In view of this, the present invention provides an icing and vibration monitoring method and device based on wireless communication to solve the problem of great technical difficulty in realizing low-power operation of icing and vibration monitoring devices.

[0004] In a first aspect, the present invention provides an ice and vibration monitoring method based on wireless communication, which is used for a main control module, wherein the main control module is respectively connected to a temperature sensor module, an acceleration sensor module, an ice sensor module, a power meter and a power supply module, wherein the power supply module includes a battery, a solar panel, a charging and voltage conversion module; the method includes:

[0005] Receive the power information set of the power supply module sent by the power meter, and control the operation of the temperature sensor module and the acceleration sensor module respectively based on the power information set; receive the temperature data sent by the temperature sensor module and the acceleration data sent by the acceleration sensor module; determine whether to control the operation of the ice coating sensor module based on the temperature data and the power information set; when the ice coating sensor module is running, receive the ice coating data of the device to be monitored sent by the ice coating sensor module; determine the vibration parameters of the device to be monitored based on the acceleration data.

[0006] The icing and vibration monitoring method based on wireless communication provided by the present invention obtains the power information set of the power supply module through the power meter, and controls the operation of the temperature sensor module and the acceleration sensor module according to the power information set and collects the corresponding temperature data and acceleration data, and then controls the operation of the icing sensor module and obtains the icing data according to the temperature data and the power information set, and calculates the corresponding vibration parameters according to the obtained acceleration data, thereby realizing effective monitoring of the ice thickness, temperature and vibration of the blade surface of the wind turbine. Furthermore, the operation of the icing sensor module is controlled by the temperature data, so that the icing sensor module only operates when the temperature data meets the preset requirements, thereby reducing power consumption.

[0007] In an optional embodiment, the main control module includes a four-input and three-output fuzzy controller; when the ice coating sensor module is running, after receiving ice coating data of the device to be monitored sent by the ice coating sensor module, the method further includes:

[0008] Receive the remaining power information sent by the power meter; based on the remaining power information, use a four-input and three-output fuzzy controller to adjust the communication spreading factor, transmission power, and collection periods of the temperature sensor module, acceleration sensor module, and ice cover sensor module to obtain the target communication spreading factor, target transmission power, and target sensing collection period; based on the target communication spreading factor and target transmission power, repeat the steps of receiving the power information set of the power supply module sent by the power meter, and controlling the operation of the temperature sensor module and the acceleration sensor module based on the power information set, until the ice cover sensor module is running, and receiving the ice cover data of the device to be monitored sent by the ice cover sensor module, until the target sensing collection period is met, and stop and obtain multiple ice cover data and multiple acceleration data.

[0009] The icing and vibration monitoring method based on wireless communication provided by the present invention utilizes a four-input and three-output fuzzy controller, which can adjust the communication spreading factor, transmission power and acquisition period respectively according to the acquired remaining power information, and during the acquisition period, data communication is performed based on the adjusted target communication spreading factor and target transmission power, thereby achieving extremely low power consumption and having great progressive significance in the field of icing measurement.

[0010] In an optional implementation, based on the remaining power information, a four-input three-output fuzzy controller is used to adjust the communication spreading factor, the transmission power, and the collection period of the temperature sensor module, the acceleration sensor module, and the ice sensor module to obtain the target communication spreading factor, the target transmission power, and the target sensor collection period, including:

[0011] Obtain fuzzy set control rules; obtain a remaining power information range set, a communication spreading factor range set, a transmission power range set, and a collection period range set; based on the remaining power information range set, the communication spreading factor range set, the transmission power range set, and the collection period range set, use fuzzy set control rules to perform fuzzy decision-making in a four-input three-output fuzzy controller to obtain a target communication spreading factor, a target transmission power, and a target sensor collection period.

[0012] The icing and vibration monitoring method based on wireless communication provided by the present invention can realize different communication spreading factors, transmission powers, and sensor acquisition cycles corresponding to different electrical quantities through fuzzy decision-making through fuzzy set control rules, thereby realizing the adjustment of the communication spreading factor, transmission power, and sensor acquisition cycle, providing support for reducing power consumption.

[0013] In an optional implementation, based on the remaining power information range set, the communication spreading factor range set, the transmission power range set and the collection period range set, a fuzzy decision is made in a four-input three-output fuzzy controller using a fuzzy set control rule to obtain a target communication spreading factor, a target transmission power and a target sensing collection period, including:

[0014] Based on the fuzzy set control rule, the fuzzy relationship of the rule base is determined; based on the remaining power information range set, the communication spreading factor range set, the transmission power range set and the collection period range set, multiple quantization factors are determined; using multiple quantization factors, the real-time remaining power information, the real-time communication spreading factor, the real-time transmission power and the real-time collection period are respectively transformed to obtain the remaining power fuzzy input variable set, the communication spreading factor fuzzy input variable set, the transmission power fuzzy input variable set and the collection period fuzzy input variable set; the remaining power fuzzy input variable set, the communication spreading factor fuzzy input variable set, the transmission power fuzzy input variable set and the collection period fuzzy input variable set are respectively input into the four input Fuzzy processing is performed in the three-output fuzzy controller to obtain the remaining power fuzzy set, communication spreading factor fuzzy set, transmission power fuzzy set and acquisition period fuzzy set; using the four-input three-output fuzzy controller, based on the fuzzy relationship of the rule base, the remaining power fuzzy set, the communication spreading factor fuzzy set, the transmission power fuzzy set and the acquisition period fuzzy set, after fuzzy reasoning and centroid method processing, the communication spreading factor output set, the transmission power output set and the acquisition period output set are obtained; the communication spreading factor output set, the transmission power output set and the acquisition period output set are converted into actual control quantities using proportional factors to obtain the target communication spreading factor, target transmission power and target sensor acquisition period.

[0015] In an optional implementation, the main control module is also connected to the wireless communication module; the method further includes: sending the vibration parameters, temperature data and ice coverage data to the corresponding host computer via the wireless communication module.

[0016] In a second aspect, the present invention provides an ice and vibration monitoring device based on wireless communication, the device comprising: a main control module, a temperature sensor module, an acceleration sensor module, an ice sensor module, a power meter, a power supply module, and a circuit board, wherein the main control module, the temperature sensor module, the acceleration sensor module, the ice sensor module, the power meter, and the power supply module are all integrated on the circuit board;

[0017] A power supply module is used to supply power to a main control module, a temperature sensor module, an acceleration sensor module, an ice coating sensor module and an electricity meter respectively; the electricity meter is connected to the power supply module and the main control module respectively, and is used to obtain an electricity information set of the power supply module and send the electricity information set to the main control module; the temperature sensor module is used to collect temperature data of the device to be monitored; the acceleration sensor module is used to collect acceleration data of the device to be monitored; the ice coating sensor module is used to collect ice coating data of the device to be monitored; the main control module includes a four-input and three-output fuzzy controller, which is used to execute the above-mentioned first aspect or any corresponding embodiment of the ice coating and vibration monitoring method based on wireless communication.

[0018] The icing and vibration monitoring device based on wireless communication provided by the present invention integrates and packages three sensors: an icing sensor, a temperature sensor and a vibration sensor on a circuit board, and does not require any probes or independent sensors that extend outward or are arranged separately. At the same time, the icing and vibration monitoring method based on wireless communication of the above-mentioned first aspect or any corresponding embodiment thereof is executed through the main control module, thereby realizing effective monitoring of the ice thickness, temperature and vibration on the surface of the wind turbine blades, and reducing power consumption.

[0019] In an optional embodiment, the power supply module includes: a battery, a solar panel, a charging and voltage conversion module;

[0020] The data interface of the battery is connected to the fuel meter, and the power interface is connected to the charging and voltage conversion module; the solar panel is used to receive solar energy and convert the solar panel into electrical energy; the battery is used to store the electrical energy sent by the solar panel and send the electrical energy to the fuel meter through the charging and voltage conversion module.

[0021] The icing and vibration monitoring device based on wireless communication provided by the present invention can store the electric energy converted by the solar panel through the battery, and then can send the electric energy to the electricity meter through the charging and voltage conversion module, thereby providing support for subsequent data collection.

[0022] In an optional implementation, the device further includes: a wireless communication module, connected to the main control module and the corresponding host computer respectively.

[0023] The icing and vibration monitoring device based on wireless communication provided by the present invention can realize the communication connection between the main control module and the corresponding host computer by separately setting a wireless communication module.

[0024] In a third 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 wireless communication-based icing and vibration monitoring method of the first aspect or any corresponding embodiment thereof.

[0025] In a fourth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the wireless communication-based icing and vibration monitoring method of the first aspect or any corresponding embodiment thereof.

[0026] In a fifth aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the icing and vibration monitoring method based on wireless communication of the above-mentioned first aspect or any corresponding embodiment thereof by executing the computer instructions. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 is a structural block diagram of an ice coating and vibration monitoring device based on wireless communication according to an embodiment of the present invention;

[0029] Figure 2 is a flow chart of an icing and vibration monitoring method based on wireless communication according to an embodiment of the present invention;

[0030] Figure 3 is a flow chart of another icing and vibration monitoring method based on wireless communication according to an embodiment of the present invention;

[0031] Figure 4 is a flow chart of another icing and vibration monitoring method based on wireless communication according to an embodiment of the present invention;

[0032] Figure 5 is a structural schematic diagram of an ice coating and vibration monitoring device based on wireless communication according to an embodiment of the present invention;

[0033] Figure 6 is a flow chart of a low power consumption communication and control method according to an embodiment of the present invention;

[0034] Figure 7 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the 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 creative work are within the scope of protection of the present invention.

[0036] The embodiment of the present invention provides an icing and vibration monitoring method based on wireless communication, which realizes effective monitoring of ice thickness, temperature and vibration on the surface of wind turbine blades through a temperature sensor module, an acceleration sensor module, an icing sensor module, an electric meter and a power supply module connected to a main control module. Furthermore, the operation of the icing sensor module is controlled by temperature data, so that the icing sensor module only operates when the temperature data meets the preset requirements, thereby reducing power consumption.

[0037] According to an embodiment of the present invention, an embodiment of an ice coating and vibration monitoring method based on wireless communication is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0038] In this embodiment, a method for monitoring ice and vibration based on wireless communication is provided, which can be used in the main control module 11, such as Figure 1 As shown, the main control module 11 is respectively connected to the temperature sensor module 12, the acceleration sensor module 13, the ice sensor module 14, the power meter 15 and the power supply module 16, the power supply module 16 includes a battery 161, a solar panel 162, a charging and voltage conversion module 163; the main control module 11 includes a four-input and three-output fuzzy controller 111.

[0039] Among them, the temperature sensing module 12 integrates a wide range of low-power temperature sensors, can adapt to the lowest ice-covered environment of -40°C, and can collect corresponding temperature data; the acceleration sensing module 13 integrates a three-axis accelerometer sensor, which can collect corresponding acceleration data; the ice-covered sensing module 14 integrates an electrode-type ice-covered measurement sensor, which can obtain corresponding ice-covered data.

[0040] Specifically, the data interface of the battery 161 is connected to the electricity meter 15, and the power interface is connected to the charging and voltage conversion module 163. In this embodiment, the battery 161 adopts a surface-mounted storage battery that can adapt to a low temperature environment of -40°C, has higher adaptability to extreme environments, and can be applied to ice monitoring scenarios such as wind turbine blades, aircraft wings, roads, bridges, etc.

[0041] The data interface of the battery 161 is a connection point for transmitting data, and is usually used to communicate with external devices (such as mobile phones, tablet computers, laptops, etc.) to achieve data exchange and transmission. Through the data interface, the device can read the battery status information (such as power, health status, etc.), and can also send instructions to the battery, such as charging, discharging, etc.

[0042] Further, the power interface of the battery 161 is a connection point for power supply, which is usually connected to an external device to provide power supply. When the device is connected to the battery through the power interface, the battery can provide power for it to work normally.

[0043] Furthermore, the power supply module 16 is used to supply power to the electricity meter 15 .

[0044] Specifically, the solar panel 162 receives solar energy and converts the solar energy into electrical energy.

[0045] Furthermore, the battery 161 has energy storage capability and can efficiently accumulate the electrical energy captured and converted by the solar panel 162. Furthermore, when power is needed, the charging and voltage conversion module 163 can supply the required electrical energy to the fuel meter 15 to ensure its stable and continuous operation.

[0046] The charging and voltage conversion module 163 is used for converting voltage and controlling battery charging and discharging.

[0047] Figure 2 is a flow chart of an icing and vibration monitoring method based on wireless communication according to an embodiment of the present invention, such as Figure 2 As shown, the process includes the following steps:

[0048] Step S201, receiving a power information set of a power supply module sent by a power meter, and controlling the operation of a temperature sensing module and an acceleration sensing module respectively based on the power information set.

[0049] The power information set may include the current remaining power and the chargeable capacity of the battery 161. The chargeable capacity is used to indicate the health status of the battery 161.

[0050] Specifically, the power meter 15 receives a power information set transmitted by the battery 161 through the charging and voltage conversion module 163 , and sends the power information set to the main control module 11 .

[0051] Further, after receiving the power information set, the main control module 11 can obtain the actual power of the battery 161 by combining the current remaining power and the chargeable power in the power information set. Further, the actual power is compared with the safe working power threshold. If the actual power is greater than the safe working power threshold, the main control module 11 sends control instructions to the temperature sensor module 12 and the acceleration sensor module 13 respectively and controls the operation of the temperature sensor module 12 and the acceleration sensor module 13.

[0052] Step S202, receiving temperature data sent by the temperature sensing module and acceleration data sent by the acceleration sensing module.

[0053] Specifically, after the temperature sensing module 12 receives the control instruction sent by the main control module 11, under the control of the control instruction, the temperature sensing module 12 starts to operate and collects temperature data of the wind turbine blades in real time.

[0054] Furthermore, the temperature sensing module 12 sends the collected temperature data to the main control module 11 in real time.

[0055] Further, after receiving the control instruction sent by the main control module 11, under the control of the control instruction, the acceleration sensor module 13 starts to run and collects the acceleration data of the wind turbine blades in real time.

[0056] Furthermore, the acceleration sensor module 13 sends the acceleration data collected in real time to the main control module 11 in real time feedback.

[0057] Step S203: determining whether to control the ice sensing module to operate based on the temperature data and the power information set.

[0058] Specifically, the working mode can be determined based on the received temperature data. When the received temperature is lower than the preset ice-covering temperature, such as ice may form in winter, the ice-covering mode is entered. At this time, the main control module 11 combines the power information set to send control instructions to the ice-covering sensor module 14 and controls the operation of the ice-covering sensor module 14.

[0059] Furthermore, if the received temperature is greater than the preset ice-covering temperature, such as in the high summer temperature where no ice will form, the ice-covering sensor power supply is disconnected and does not work. At this time, the main control module 11 controls the ice-covering sensor module 14 to shut down, and then only collects data through the temperature sensor module 12 and the acceleration sensor module 13, thereby reducing invalid power consumption.

[0060] Step S204: when the ice-covered sensor module is running, ice-covered data of the device to be monitored sent by the ice-covered sensor module is received.

[0061] Among them, the devices to be monitored can be wind turbine blades, aircraft wings, roads, bridges, etc.

[0062] Specifically, under the control of the control instruction, the ice covering sensor module 14 starts to run and collects corresponding ice covering data in real time, and feeds back the collected ice covering data to the main control module 11 in real time.

[0063] Step S205: determining the vibration parameters of the device to be monitored based on the acceleration data.

[0064] Specifically, after receiving the acceleration data sent by the acceleration sensor module 13, the main control module 11 can convert and calculate the corresponding vibration parameters according to the acceleration-time relationship.

[0065] Furthermore, the vibration parameters can reflect the dynamic response of the wind turbine blades under ice-covered conditions. Therefore, the obtained vibration parameters can also provide auxiliary judgment for ice-covered calculations.

[0066] Specifically, the obtained vibration parameters can be used to make a preliminary judgment on the ice coverage. For example, when a layer of ice covers the surface of a structure, its vibration frequency tends to decrease and the amplitude increases. This is because the presence of the ice layer increases the mass and damping of the structure, thereby changing its vibration characteristics. By analyzing these changes, the ice coverage of the structure surface can be inferred, and corresponding maintenance and reinforcement measures can be formulated accordingly.

[0067] Step S206, receiving the remaining power information sent by the power meter.

[0068] Specifically, after completing one data collection through step S201 to step S205 , the power meter 15 is used to continue to obtain the remaining power information of the power supply module 16 .

[0069] Furthermore, the power meter 15 can send the remaining power information to the main control module 11 .

[0070] Step S207, based on the remaining power information, use a four-input three-output fuzzy controller to adjust the communication spreading factor, transmission power, and the collection period of the temperature sensor module, acceleration sensor module, and ice sensor module to obtain the target communication spreading factor, target transmission power, and target sensor collection period.

[0071] Specifically, in combination with the remaining power information obtained, the four-input three-output fuzzy controller 111 in the main control module 11 can be used to automatically adjust the communication spreading factor, transmission power, and collection period of the temperature sensor module 12, acceleration sensor module 13, and ice cover sensor module 14 of the main control module 11.

[0072] Step S208, based on the target communication spreading factor and the target transmission power, repeatedly receive the power information set of the power supply module sent by the power meter, and control the operation of the temperature sensing module and the acceleration sensing module respectively based on the power information set, until the target sensing acquisition cycle is met, stop and obtain multiple ice coverage data and multiple acceleration data.

[0073] Specifically, after the target communication spreading factor, target transmission power and target sensor acquisition period are obtained, that is, the configuration is completed, according to the target sensor acquisition period, the main control module 11 enters a low-power sleep state of a corresponding duration, and all sensor power is turned off. When the timing time is up, the main control module 11 exits sleep, and based on the target communication spreading factor and the target transmission power, the above steps S201 to S205 are looped until the target sensor acquisition period is met and the acquisition is stopped.

[0074] In an optional embodiment, if Figure 3 As shown, the process includes the following steps:

[0075] Step S209: Send the vibration parameters, temperature data and ice coverage data to the corresponding host computer through the wireless communication module.

[0076] Specifically, Figure 1 As shown, the main control module 11 is also connected to the wireless communication module 18 .

[0077] Furthermore, through the wireless communication module 18 , the main control module 11 can send the obtained vibration parameters, temperature data and ice coverage data to the corresponding host computer 2 .

[0078] The icing and vibration monitoring method based on wireless communication provided in this embodiment obtains the power information set of the power supply module through the power meter, and controls the operation of the temperature sensor module and the acceleration sensor module according to the power information set and collects the corresponding temperature data and acceleration data, and then controls the operation of the icing sensor module and obtains the icing data according to the temperature data and the power information set, and calculates the corresponding vibration parameters according to the obtained acceleration data, thereby realizing effective monitoring of the ice thickness, temperature and vibration of the blade surface of the wind turbine. Furthermore, the operation of the icing sensor module is controlled by the temperature data, so that the icing sensor module only operates when the temperature data meets the preset requirements, thereby reducing power consumption.

[0079] In this embodiment, a method for monitoring ice and vibration based on wireless communication is provided, which can be used in the main control module 11, such as Figure 1 As shown, the main control module 11 is respectively connected to the temperature sensor module 12, the acceleration sensor module 13, the ice sensor module 14, the power meter 15 and the power supply module 16, the power supply module 16 includes a battery 161, a solar panel 162, a charging and voltage conversion module 163; the main control module 11 includes a four-input and three-output fuzzy controller 111.

[0080] Figure 4 is a flow chart of an icing and vibration monitoring method based on wireless communication according to an embodiment of the present invention, such as Figure 4 As shown, the process includes the following steps:

[0081] Step S401, receiving the power information set of the power supply module sent by the power meter, and controlling the operation of the temperature sensor module and the acceleration sensor module respectively based on the power information set. Figure 2 Step S201 of the illustrated embodiment will not be described in detail here.

[0082] Step S402: Receive temperature data sent by the temperature sensor module and acceleration data sent by the acceleration sensor module. Figure 2Step S202 of the illustrated embodiment will not be described in detail here.

[0083] Step S403: Determine whether to control the ice sensor module to operate based on the temperature data and the power information set. Figure 2 Step S203 of the illustrated embodiment will not be described in detail here.

[0084] Step S404: When the ice-covered sensor module is running, ice-covered data of the device to be monitored sent by the ice-covered sensor module is received. Figure 2 Step S204 of the illustrated embodiment will not be described in detail here.

[0085] Step S405: Determine the vibration parameters of the device to be monitored based on the acceleration data. Figure 2 Step S205 of the illustrated embodiment will not be described in detail here.

[0086] Step S406, obtaining the remaining power information. Figure 2 Step S206 of the illustrated embodiment will not be described in detail here.

[0087] Step S407, based on the remaining power information, use a four-input three-output fuzzy controller to adjust the communication spreading factor, transmission power, and the collection period of the temperature sensor module, acceleration sensor module, and ice sensor module to obtain the target communication spreading factor, target transmission power, and target sensor collection period.

[0088] Specifically, the above step S407 includes:

[0089] Step S4071, obtaining fuzzy set control rules.

[0090] Specifically, the fuzzy set control rules are as follows:

[0091] (1) Implement the remaining power rule and divide the power C% into 8 levels, such as C=20, 30, 40, 50, 60, 70, 80, 90;

[0092] (2) Implementing the communication spreading factor rule, the spreading factor SF is divided into 8 levels, such as SF = 5, 6, 7, 8, 9, 10, 11, 12;

[0093] (3) Implement the transmit power rule and divide the transmit power Pt into 8 levels, such as Pt = 15, 16, 17, 18, 19, 20, 21, 22 dBm;

[0094] (4) Implement the sensor acquisition cycle rule and divide the sensor acquisition cycle T into 8 levels, such as T = T1, T2, T3, T4, T5, T7, T7, T8.

[0095] Through the above rules, fuzzy decision-making is performed to achieve different communication spreading factors, transmission powers, and sensor collection cycles corresponding to different power quantities.

[0096] The role of the communication spreading factor SF is to affect the transmission time together with the bandwidth BW and the coding rate R, as shown in the following equation (1):

[0097]

[0098] Furthermore, the sensor acquisition period T is expressed as follows:

[0099]

[0100] The bandwidth BW is fixed. The larger the communication spreading factor SF, the longer the transmission time. The longer the transmission time, the longer the transmission duration and the higher the power consumption.

[0101] Furthermore, the role of the transmission power Pt is to affect the transmission distance d together with other hardware parameters, as shown in the following relationship (3):

[0102]

[0103] Where: Pr represents the receiver sensitivity; Gt represents the transmitting antenna gain; Gr represents the receiver gain; f represents the carrier frequency; c represents the speed of light; Lc represents the feeder insertion loss of the base station transmitting antenna; and L0 represents the air loss caused by the environment.

[0104] Among them, f is the RF hardware property and cannot be adjusted during operation. Keeping other constants unchanged, the larger the transmission power Pt, the larger the transmission distance d, and the greater the power consumption. The required distance of wind turbine blades is often within 250 to 300 meters. Therefore, negative adjustment of the transmission power is extremely meaningful for reducing power consumption. The power difference of 15dBm to 22dBm will bring about a power consumption difference of 60-40mA.

[0105] Furthermore, the sensor acquisition cycle T is the duration of the main control module entering the main control low power consumption. The longer the duration, the lower the average power consumption. This parameter needs to be set as short as possible according to actual conditions.

[0106] Step S4072, obtaining a remaining power information range set, a communication spreading factor range set, a transmission power range set and a collection period range set.

[0107] Specifically, the remaining power C, communication spreading factor SF, transmission power Pt and collection period T are determined in real time in combination with the packet loss prevention mechanism, and the corresponding remaining power information range set [C L ,C H ], communication spreading factor range set [SF L ,SFH ], transmit power range set [C L ,C H ] and the collection cycle range set [Pt L ,Pt H ].

[0108] Among them, the packet loss prevention mechanism can be used to improve the reliability of wireless communication, specifically: the lowest gear corresponds to the lowest power consumption. In particular, the transmission power has the greatest impact on the packet transmission success rate, and its different gears have different effects on data loss. Therefore, different gears are set with corresponding impact factors β, as shown in the following relationship (4):

[0109]

[0110] Furthermore, the lower the power consumption, the higher the probability of packet loss. According to the influencing factor, packet loss can be avoided by increasing the number of data transmissions.

[0111] Step S4073, based on the remaining power information range set, the communication spreading factor range set, the transmission power range set and the collection period range set, fuzzy set control is used to perform fuzzy decision-making in a four-input three-output fuzzy controller to obtain the target communication spreading factor, the target transmission power and the target sensor collection period.

[0112] Specifically, the input variables of the four-input three-output fuzzy controller 111 are defined as the remaining power C, the communication spreading factor SF, the transmission power Pt and the collection period T, and the output variables are the target communication spreading factor uSF, the target transmission power uPt and the target sensor collection period uT, and its domain is defined as a finite integer discrete domain. The design is a triangle shape, as shown in the following equation (5):

[0113]

[0114] Furthermore, in the above relationship (2), the membership function Based on the remaining power information range set [C L ,C H ], communication spreading factor range set [SF L ,SF H ], transmit power range set [C L ,C H ] and the collection cycle range set [Pt L ,Pt H ], and the corresponding output variables are obtained after fuzzy decision-making using fuzzy set control rules, namely the target communication spreading factor uSF, the target transmission power uPt and the target sensor acquisition period uT.

[0115] In some optional implementations, the above step S4073 includes:

[0116] Step a1, determining the fuzzy relationship of the rule base based on the fuzzy set control rule.

[0117] Step a2: determining a plurality of quantization factors based on a remaining power information range set, a communication spreading factor range set, a transmission power range set and a collection period range set.

[0118] Step a3, using multiple quantization factors, respectively transform the real-time remaining power information, real-time communication spreading factor, real-time transmission power and real-time collection period to obtain a remaining power fuzzy input variable set, a communication spreading factor fuzzy input variable set, a transmission power fuzzy input variable set and a collection period fuzzy input variable set.

[0119] In step a4, the remaining power fuzzy input variable set, the communication spreading factor fuzzy input variable set, the transmission power fuzzy input variable set and the collection period fuzzy input variable set are respectively input into the four-input three-output fuzzy controller for fuzzification processing to obtain the remaining power fuzzy set, the communication spreading factor fuzzy set, the transmission power fuzzy set and the collection period fuzzy set.

[0120] Step a5, using a four-input three-output fuzzy controller, based on the fuzzy relationship of the rule base, the remaining power fuzzy set, the communication spreading factor fuzzy set, the transmission power fuzzy set and the collection period fuzzy set, after fuzzy reasoning and centroid method processing, obtain the communication spreading factor output set, the transmission power output set and the collection period output set.

[0121] Step a6, using the proportional factor to convert the communication spreading factor output set, the transmission power output set and the collection period output set into actual control quantities, to obtain the target communication spreading factor, the target transmission power and the target sensing collection period.

[0122] First, the remaining power information range set [C L ,C H ], communication spreading factor range set [SF L ,SF H ], transmit power range set [C L ,C H ] and the collection cycle range set [Pt L ,Pt H ] is converted into the fuzzy input E of the four-input three-output fuzzy controller 111 1 、E 2 、E 3 、E 4 , that is, the remaining power fuzzy input set E 1 , communication spreading factor fuzzy input set E 2 , transmit power fuzzy input set E3 And collect periodic fuzzy input set E 4 .

[0123] Further, with E 1 、E 2 For example, convert E 1 、E 2 The domain is defined as the discrete domain of finite integers as shown in the following relations (6) and (7):

[0124] E 1 :{-m,-m+1,…,-1,0,1,…,m-1,m} (6)

[0125] E 2 :{-n,-n+1,…,-1,0,1,…,n-1,n} (7)

[0126] Among them, the quantization factor k of the electric quantity c and the quantization factor k of the communication spreading factor SF As shown in the following equations (8) and (9):

[0127]

[0128] Further, the inputs C and F are transformed into fuzzy inputs E 1 and E 2 , as shown in the following relations (10) and (11):

[0129]

[0130] Further, the fuzzy input E 1 and E 2 Fuzzy processing is performed to obtain the corresponding fuzzy sets A and B. At the same time, according to the control rules, the fuzzy relationship R of the entire rule base is obtained. all The fuzzy output V can be obtained by fuzzy reasoning, as shown in the following equation (12):

[0131]

[0132] Furthermore, the fuzzy output V is clarified by using the center of gravity method to make fuzzy judgment, and the precise output U of the corresponding controller is calculated, as shown in the following equation (13):

[0133]

[0134] Use the scaling factor k uSF The actual control quantity is converted as shown in the following equation (14):

[0135]

[0136] Among them, the scaling factor k uSF As shown in the following relation (15):

[0137]

[0138] Further, referring to the above process, the final target communication spreading factor uSF, target transmission power uPt and target sensing acquisition period uT can be obtained respectively.

[0139] Step S408, based on the target communication spreading factor and the target transmission power, repeat the steps of obtaining the power information set to the step of operating the ice sensor module and receiving the ice data sent by the ice sensor module until the target sensing collection period is met and multiple ice data and multiple acceleration data are obtained. For details, please refer to Figure 2 Step S208 of the illustrated embodiment will not be described in detail here.

[0140] The icing and vibration monitoring method based on wireless communication provided in this embodiment can achieve different communication spreading factors, transmission powers, and sensor acquisition cycles corresponding to different electrical quantities through fuzzy decision-making through fuzzy set control rules, thereby realizing the adjustment of the communication spreading factor, transmission power, and sensor acquisition cycle. Furthermore, within the acquisition cycle, data collection is performed based on the adjusted target communication spreading factor and target transmission power, thereby achieving extremely low power consumption, which has great progressive significance in the field of icing measurement.

[0141] In this embodiment, an ice coating and vibration monitoring device based on wireless communication is provided. Figure 1 As shown, the wireless communication-based ice and vibration monitoring device 1 includes: a main control module 11, a temperature sensor module 12, an acceleration sensor module 13, an ice sensor module 14, a power meter 15, a power supply module 16, a circuit board 17, and a wireless communication module 18.

[0142] Specifically, the circuit board 17 serves as an electrical structure carrier of the main control module 11, the temperature sensor module 12, the acceleration sensor module 13, the ice sensor module 14, the power meter 15 and the power supply module 16, and carries and electrically connects each module.

[0143] Furthermore, the electricity meter is connected to the power supply module 16 and the main control module 11 respectively.

[0144] Furthermore, the wireless communication module 18 is connected to the main control module 11 and the host computer 2 respectively.

[0145] Furthermore, the power supply module 16 includes a battery 161 , a solar panel 162 , and a charging and voltage conversion module 163 ; the main control module 11 includes a four-input and three-output fuzzy controller 111 .

[0146] Optionally, the power supply module 16 is used to supply power to the main control module 11 , the temperature sensor module 12 , the acceleration sensor module 13 , the ice sensor module 14 and the electricity meter 15 respectively.

[0147] Optionally, the power meter 15 is connected to the power supply module 16 and the main control module 11 respectively, and is used to obtain a power information set of the power supply module 16 and send the power information set to the main control module 11 .

[0148] Optionally, the temperature sensing module 12 is used to collect temperature data of the device to be monitored.

[0149] Optionally, the acceleration sensor module 13 is used to collect acceleration data of the device to be monitored.

[0150] Optionally, the ice-covering sensor module 14 is used to collect ice-covering data of the device to be monitored.

[0151] Optionally, the main control module 11 can run the main program of the entire device to perform global control of the device, so as to execute the icing and vibration monitoring method based on wireless communication provided in the above embodiment of the present invention.

[0152] Furthermore, the entire wireless communication-based ice and vibration monitoring device can be packaged through a packaging carrier to isolate the device circuit, sensor, and circuit board from the outside world to achieve the purpose of waterproofing, dustproofing, and protecting electronic devices.

[0153] The icing and vibration monitoring device based on wireless communication provided in this embodiment integrates and packages three sensors: an icing sensor, a temperature sensor and a vibration sensor on a circuit board. It does not require any probes or independent sensors that extend outside or are arranged separately. It can directly use icing data while providing temperature data and acceleration data for conversion to obtain vibration-related parameters of the wind turbine blades, thereby achieving effective monitoring of the ice thickness, temperature and vibration on the surface of the wind turbine blades. Furthermore, the control module controls the operation of the icing sensor module through temperature data, so that the icing sensor module only operates when the temperature data meets the preset requirements, thereby reducing power consumption. Furthermore, by setting a four-input and three-output fuzzy controller in the main control module, the communication spreading factor, transmission power and sensor acquisition period can be adjusted, thereby achieving extremely low power consumption of the device.

[0154] In one embodiment, a wireless communication-based ice and vibration monitoring device is provided, such as Figure 5 As shown, it includes: a battery 401, a power meter 402, a temperature sensor module 403, an acceleration sensor module 404, an ice sensor module 405, a solar panel 406, a main control module 407, and a charging and voltage conversion module 408.

[0155] The battery 401 is a mounted storage battery, the data interface is connected to the power meter 402 to obtain the battery data, and the power interface is connected to the charging and voltage conversion module 408 to store the electric energy of the solar panel;

[0156] Further, the power meter 402 is connected to the main control module via the I2C port, and outputs the battery power information to the main control module;

[0157] Furthermore, the temperature sensing module 403 monitors the temperature data of the installation location of the device when working, and transmits the temperature data to the main control module through the I2C port;

[0158] Further, the acceleration sensor module 404 monitors the acceleration data of the installation position of the device when working, and transmits the acceleration data to the main control module through the I2C port;

[0159] Furthermore, the ice-covering sensor module 405 monitors the ice-covering related data of the installation location of the device when working, and transmits the ice-covering related data to the main control module through the I2C port;

[0160] Furthermore, the solar panel 406 is an energy conversion module that converts light energy into electrical energy and sends it to the charging and voltage conversion module 408;

[0161] Furthermore, the main control module 407 includes a main control part and a low-power wireless communication wireless data transceiver part, wherein the data processing control part controls the power switch of each working module and receives the sensor data uploaded by each module and processes it into the data format required by the terminal, and the low-power wireless communication wireless data receiving part receives terminal instructions and sends sensor data through the radio frequency component in the module.

[0162] Further, if Figure 2 As shown, the ice coating and vibration monitoring device based on wireless communication is located on a circuit board 301. The circuit board 301 serves as an electrical structure carrier of the device body, carrying and electrically connecting various modules.

[0163] Furthermore, the packaging carrier 302 is used to package the entire device, isolating the device circuit, sensor, and circuit board from the outside world to achieve waterproofing, dustproofing, and protection of electronic devices.

[0164] The icing and vibration monitoring device based on wireless communication provided in this example has the following effects:

[0165] 1. Three sensors are integrated and packaged into a board-level carrier: ice sensor, temperature sensor and vibration sensor. No probe or independent sensor is required to extend outside or be arranged separately. While directly using the ice thickness, temperature data, three-axis acceleration and its derivative data can be provided for conversion to obtain vibration-related parameters of the monitored object, providing auxiliary judgment for ice calculation. It has higher integration and data diversity, which improves the accuracy of ice data from a multi-dimensional perspective.

[0166] 2. By uniformly adopting a wide range of temperature sensors and batteries, it can adapt to icing environments as low as -40°C, has higher adaptability to extreme environments, and can be applied to icing monitoring scenarios such as wind turbine blades, aircraft wings, roads, bridges, etc.

[0167] Further, in another example, there is provided a method for Figure 5 The low-power communication and control method of the icing and vibration monitoring device based on wireless communication is shown, such as Figure 6 As shown, the following steps are included:

[0168] Step S1: Install the ice and vibration integrated monitoring device and start working. The power meter monitors the power and battery health status, and feeds back two indicators to the main control. The power represents the remaining power, and the battery health status is the chargeable amount measured by the power meter. The actual power can be calculated by combining them. The main control controls the power switch according to the threshold. When the power is greater than the safe working power, the control sensor starts to collect data, otherwise, it does not collect data. Wait for the solar panel on the device to charge; when the battery power is above the preset threshold, the battery outputs power to the device, and the device starts to work normally.

[0169] Step S2: Read the temperature and determine the working mode according to the ambient temperature. When the temperature is lower than the ice-covering temperature, such as ice may form in winter, the ice-covering mode is entered and the ice-covering sensor collects data in a working cycle. Otherwise, such as in summer when the temperature is high and ice will not form at all, the ice-covering sensor is disconnected from the power supply and does not work. It only collects temperature and acceleration to reduce invalid power consumption.

[0170] Step S3: Read the acceleration and convert and calculate the vibration parameters according to the acceleration-time relationship.

[0171] Step S4: Low-power communication: After the acquisition is completed, the communication spreading factor, transmission power, sensor acquisition period, etc. are automatically adjusted according to the remaining power. The adjustment can be automatically controlled by methods such as classical fuzzy control algorithms, that is, the communication spreading factor, transmission power, and sensor acquisition period are modified and configured through different power control rules.

[0172] Specifically, the fuzzy controller needs to implement fuzzy set control rules to make fuzzy decisions and then correspond to anti-fuzzy outputs. Therefore, the following fuzzy sets are implemented:

[0173] S41: Implement the remaining power rule and divide the power C% into 8 levels, such as C=20, 30, 40, 50, 60, 70, 80, 90;

[0174] S42: Implement the communication spreading factor rule, and divide the spreading factor SF into 8 levels, such as SF=5, 6, 7, 8, 9, 10, 11, 12;

[0175] S43: Implement the transmission power rule and divide the transmission power Pt into 8 levels, such as Pt = 15, 16, 17, 18, 19, 20, 21, 22 dBm;

[0176] S44: Implement the sensor acquisition cycle rule, and divide the sensor acquisition cycle T into 8 levels, such as T = T1, T2, T3, T4, T5, T7, T7, T8;

[0177] Through the above rules, fuzzy decision making is performed to achieve different communication spreading factors, transmission powers, and sensor acquisition cycles corresponding to different power quantities. For a specific description, refer to the above step S4071, which will not be repeated here.

[0178] Furthermore, in order to improve the reliability of wireless communication, a mechanism for preventing multiple packet losses is proposed. The specific description is referred to the above step S4071, which will not be repeated here.

[0179] Step S5: After configuration is completed, the main control module enters a low-power sleep state of a corresponding length according to the sensor acquisition cycle, all sensor power is turned off, and when the timing time is up, the main control module exits sleep.

[0180] Step S6: Enter the cyclic working mode and run the S2, S3, S4, and S5 processes again.

[0181] Further, in step S4, this example constructs a four-input three-output fuzzy controller and implements fuzzy set control rules for fuzzy decision-making. The specific process refers to the above step S4073 and will not be repeated here.

[0182] The low-power communication and control method provided in this example, based on the board-level integration of the ice and vibration monitoring device, realizes the extremely low power consumption of the device through low-power design of the control and communication technology of the monitoring device. The peak transmission current is only 60-120mA, and the normal operating current is 6mA, which has an extremely high low power consumption advantage. Compared with other current high-power communication solutions such as battery arrays, large-capacity batteries, 4G, WIFI, etc., it has great progressive significance in the field of ice measurement.

[0183] The embodiment of the present invention also provides a computer device for executing the above Figures 2 to 4 The icing and vibration monitoring method based on wireless communication is shown.

[0184] See also Figure 7 , Figure 7 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 7 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, 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 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. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 7 A processor 10 is taken as an example.

[0185] 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 a dedicated 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.

[0186] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0187] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to 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 arranged 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.

[0188] 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.

[0189] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0190] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, 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 hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. 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.

[0191] A part 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 existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and 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 accessible to the computer.

[0192] Although the embodiments of the present invention have been described in conjunction with 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, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for monitoring ice and vibration based on wireless communication, characterized in that: Used in a main control module, the main control module is respectively connected to a temperature sensor module, an acceleration sensor module, an ice sensor module, a power meter and a power supply module, the power meter is connected to the power supply module, and the power supply module includes a battery, a solar panel, a charging and voltage conversion module; the method includes: receiving a power information set of the power supply module sent by the power meter, and controlling the operation of the temperature sensing module and the acceleration sensing module respectively based on the power information set; Receiving temperature data sent by the temperature sensing module and acceleration data sent by the acceleration sensing module; Determining whether to control the ice sensing module to operate based on the temperature data and the power information set; When the ice-covered sensor module is running, receiving ice-covered data of the device to be monitored sent by the ice-covered sensor module; A vibration parameter of the device to be monitored is determined based on the acceleration data.

2. The method according to claim 1, characterized in that The main control module includes a four-input and three-output fuzzy controller; When the ice coating sensor module is running and after receiving ice coating data of the device to be monitored sent by the ice coating sensor module, the method further includes: Receiving the remaining power information sent by the power meter; Based on the remaining power information, the four-input three-output fuzzy controller is used to adjust the communication spreading factor, the transmission power, and the collection period of the temperature sensor module, the acceleration sensor module, and the ice sensor module to obtain the target communication spreading factor, the target transmission power, and the target sensing collection period; Based on the target communication spreading factor and the target transmission power, the steps of repeatedly receiving the power information set of the power supply module sent by the power meter, and respectively controlling the operation of the temperature sensing module and the acceleration sensing module based on the power information set, and receiving the ice coating data of the device to be monitored sent by the ice coating sensing module when the ice coating sensing module is running, until the target sensing acquisition cycle is met and stopping and obtaining multiple ice coating data and multiple acceleration data.

3. The method according to claim 2, characterized in that Based on the remaining power information, the four-input three-output fuzzy controller is used to adjust the communication spreading factor, the transmission power, and the collection period of the temperature sensor module, the acceleration sensor module, and the ice sensor module to obtain the target communication spreading factor, the target transmission power, and the target sensor collection period, including: Obtain fuzzy set control rules; Obtaining a remaining power information range set, a communication spreading factor range set, a transmission power range set, and a collection period range set; Based on the remaining power information range set, the communication spreading factor range set, the transmission power range set and the acquisition period range set, the fuzzy set control rule is used to perform fuzzy decision-making in the four-input three-output fuzzy controller to obtain the target communication spreading factor, the target transmission power and the target sensing acquisition period.

4. The method according to claim 3, characterized in that Based on the remaining power information range set, the communication spreading factor range set, the transmission power range set and the collection period range set, the fuzzy set control rule is used to perform fuzzy decision in the four-input three-output fuzzy controller to obtain the target communication spreading factor, the target transmission power and the target sensor collection period, including: Determining a fuzzy relationship of a rule base based on the fuzzy set control rule; Determining a plurality of quantization factors based on the remaining power information range set, the communication spreading factor range set, the transmit power range set, and the collection period range set; Using the multiple quantization factors, respectively transform the real-time remaining power information, the real-time communication spreading factor, the real-time transmission power and the real-time collection period to obtain a remaining power fuzzy input variable set, a communication spreading factor fuzzy input variable set, a transmission power fuzzy input variable set and a collection period fuzzy input variable set; The remaining power fuzzy input variable set, the communication spreading factor fuzzy input variable set, the transmission power fuzzy input variable set and the collection period fuzzy input variable set are respectively input into the four-input three-output fuzzy controller for fuzzification processing to obtain a remaining power fuzzy set, a communication spreading factor fuzzy set, a transmission power fuzzy set and a collection period fuzzy set; Using the four-input three-output fuzzy controller, based on the fuzzy relationship of the rule base, the remaining power fuzzy set, the communication spreading factor fuzzy set, the transmission power fuzzy set and the collection period fuzzy set, through fuzzy reasoning and centroid method processing, a communication spreading factor output set, a transmission power output set and a collection period output set are obtained; The communication spreading factor output set, the transmission power output set and the collection period output set are respectively converted into actual control quantities using proportional factors to obtain the target communication spreading factor, the target transmission power and the target sensing collection period.

5. The method according to claim 1, characterized in that The main control module is also connected to the wireless communication module; the method further includes: The vibration parameter, the temperature data and the ice coverage data are sent to a corresponding host computer through the wireless communication module.

6. An ice and vibration monitoring device based on wireless communication, characterized in that: The device comprises: a main control module, a temperature sensor module, an acceleration sensor module, an ice sensor module, a power meter, a power supply module, and a circuit board, wherein the main control module, the temperature sensor module, the acceleration sensor module, the ice sensor module, the power meter, and the power supply module are all integrated on the circuit board; The power supply module is used to respectively supply power to the main control module, the temperature sensor module, the acceleration sensor module, the ice cover sensor module and the electricity meter; The power meter is connected to the power supply module and the main control module respectively, and is used to obtain a power information set of the power supply module and send the power information set to the main control module; The temperature sensing module is used to collect temperature data of the device to be monitored; The acceleration sensor module is used to collect acceleration data of the device to be monitored; The ice-covering sensor module is used to collect ice-covering data of the device to be monitored; The main control module includes a four-input and three-output fuzzy controller, which is used to execute the icing and vibration monitoring method based on wireless communication as described in any one of claims 1 to 4.

7. The device according to claim 6, characterized in that The power supply module includes: a battery, a solar panel, a charging and voltage conversion module; The data interface of the battery is connected to the fuel gauge, and the power interface is connected to the charging and voltage conversion module; The solar panel is used to receive solar energy and convert the solar energy into electrical energy; The battery is used to store the electric energy sent by the solar panel and send the electric energy to the electricity meter through the charging and voltage conversion module.

8. The device according to claim 6, characterized in that The device further comprises: a wireless communication module, which is connected to the main control module and the corresponding host computer respectively.

9. 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 icing and vibration monitoring method based on wireless communication according to any one of claims 1 to 5.

10. 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 icing and vibration monitoring method based on wireless communication according to any one of claims 1 to 5.

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