A low-power optimization method for wind direction and speed measurement process

Abstract

The present application discloses a low-power optimization method for a wind direction and speed measurement process, comprising: obtaining a first target trigger event, and obtaining a measurement system state weight, a wind speed measurement state weight, and a measurement intensity weight according to a measurement system state, a wind speed measurement state, and a target measurement intensity; obtaining a target output power and a target measurement time required for a measurement process corresponding to the first target trigger event according to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, and performing wind direction and wind speed measurement; and adjusting the target output power according to a temperature change rate measured during the wind direction and wind speed measurement process until the temperature change is constant, thereby realizing miniaturization, reducing the time spent on achieving temperature measurement stability through power adjustment, and achieving an overall effect of low-power operation.

Description

Technical Field

[0001] The present application relates to the field of meteorological monitoring technology, and in particular to a low-power consumption optimization method for a wind direction and wind speed measurement process. Background Art

[0002] The measurement of wind speed and direction plays an important role in human life and production. Wind speed and direction sensors support the development of new energy wind power generation technology and can be used to measure wind speed and direction.

[0003] Miniaturization is the primary means of achieving single-person portability, rapid deployment, mobile companionship, wearable sensing, and drone-mounted capabilities. It also offers a solution for further expanding measurement elements and functions, or improving battery life, in applications where size is limited. Currently, miniaturized intelligent meteorological monitoring systems are widely used in fields such as marine meteorological monitoring, smart agriculture, and smart grids. Most existing miniature meteorological intelligent observation devices generally have the following characteristics: compact size, low price, and high portability; supporting mobile terminal software for data upload and display; some devices can also synchronize data to cloud computing platforms, with overlays such as map displays and forecast information release; and generally have extremely low power consumption, powered by built-in lithium batteries or micro batteries.

[0004] However, in terms of wind speed detection, since the existing wind direction and speed detection equipment has not been miniaturized, its measurement process consumes a lot of power in wearable scenarios, wasting resources. Summary of the Invention

[0005] The present application provides a low-power optimization method for the wind direction and speed measurement process, which reduces the time spent on achieving stable temperature measurement through power adjustment and achieves the overall effect of low-power operation. The technical solution is as follows.

[0006] On the one hand, a low-power optimization method for a wind direction and speed measurement process is provided, the method being executed by a control chip of a wind direction and speed sensor, the method comprising:

[0007] Obtaining a first target triggering event; the first target triggering event is associated with operating parameters of a wind direction and speed sensor; the operating parameters include a measurement system state of the wind direction and speed sensor, a wind speed measurement state of the second target triggering event, and a target measurement intensity corresponding to the first target triggering event;

[0008] According to the measurement system state, the wind speed measurement state and the target measurement intensity, respectively obtaining a measurement system state weight, a wind speed measurement state weight and a measurement intensity weight;

[0009] According to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, the target output power and target measurement time required for the measurement process corresponding to the first target trigger event are obtained, and wind direction and wind speed measurements are performed;

[0010] The target output power is adjusted according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change becomes constant.

[0011] In another aspect, a wind direction and speed sensor is provided, comprising a protective top cover, a base, and a support column, wherein the support column supports the protective top cover and the base to form a parallel corridor;

[0012] A spiral heat source and a plurality of heat-sensitive measuring units are provided in the parallel corridor;

[0013] The plurality of thermal measurement units are evenly distributed around the spiral heat source;

[0014] The wind direction and speed sensor is also provided with a control chip, which is used to:

[0015] Obtaining a first target triggering event; the first target triggering event is associated with operating parameters of a wind direction and speed sensor; the operating parameters include a measurement system state of the wind direction and speed sensor, a wind speed measurement state of the second target triggering event, and a target measurement intensity corresponding to the first target triggering event;

[0016] According to the measurement system state, the wind speed measurement state and the target measurement intensity, respectively obtaining a measurement system state weight, a wind speed measurement state weight and a measurement intensity weight;

[0017] According to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, the target output power and target measurement time required for the measurement process corresponding to the first target trigger event are obtained, and wind direction and wind speed measurements are performed;

[0018] The target output power is adjusted according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change becomes constant.

[0019] In a possible implementation, the protective top cover is arc-shaped, and the bottom surface and the top surface of the support column are elliptical.

[0020] In a possible implementation, the parallel corridors have an edge height of 12.2 mm, a center height of 9.7 mm, and a diameter of 40 mm.

[0021] In another aspect, a low-power consumption optimization device for a wind direction and speed measurement process is provided, the device comprising:

[0022] a first target trigger event acquisition module, configured to acquire a first target trigger event; the first target trigger event is associated with operating parameters of a wind direction and speed sensor; the operating parameters include a measurement system state of the wind direction and speed sensor, a wind speed measurement state of the second target trigger event, and a target measurement intensity corresponding to the first target trigger event;

[0023] Each weight acquisition module is used to respectively acquire a measurement system state weight, a wind speed measurement state weight, and a measurement intensity weight according to the measurement system state, the wind speed measurement state, and the target measurement intensity;

[0024] a wind direction and speed measurement module, configured to obtain the target output power and target measurement time required for the measurement process corresponding to the first target trigger event based on the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, and perform wind direction and wind speed measurement;

[0025] The target output power adjustment module is used to adjust the target output power according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change is constant.

[0026] In a possible implementation, the target trigger event includes a gesture trigger event and a setting trigger event.

[0027] In one possible embodiment, the device is further used for:

[0028] According to the trigger information, each gesture trigger and each setting trigger are associated with each event respectively to obtain each gesture trigger event and the setting trigger event respectively; the trigger information includes the trigger environment, the trigger time, the trigger position, the initial measurement state of the wind direction and wind speed sensor and the historical measurement state of the wind direction and wind speed sensor, and the event includes at least one of measurement, interaction, display, debugging and calibration.

[0029] In a possible implementation manner, the second target triggering event is a previous triggering event of the first target triggering event.

[0030] In one possible embodiment, the measurement system state of the wind direction and wind speed sensor includes the temperature change gradient and the 0 wind speed state; the wind speed measurement state of the second target trigger event includes the measurement interval time and the frequency of occurrence of the measurement maximum value; the target measurement intensity corresponding to the first target trigger event includes the expected measurement time and the expected wind speed extreme value.

[0031] In a possible implementation manner, each weight acquisition module is further configured to:

[0032] Comparing the temperature change gradient with the zero wind speed state to obtain a measurement system state weight;

[0033] Performing weighted calculation on the measurement interval time and the frequency of occurrence of the measurement maximum value to obtain a wind speed measurement state weight;

[0034] A weighted calculation is performed on the expected measurement time and the expected wind speed extreme value to obtain a measurement intensity weight.

[0035] In a possible implementation, the wind direction and wind speed measurement module is further configured to:

[0036] A weighted calculation is performed on the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight to obtain a target output power and a target measurement time required for a measurement process corresponding to a first target triggering event.

[0037] On the other hand, a computer device is provided, comprising a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the low-power consumption optimization method for the wind direction and speed measurement process as described above.

[0038] On the other hand, a computer-readable storage medium is provided, wherein the storage medium stores at least one instruction, and the at least one instruction is loaded and executed by a processor to implement the low-power consumption optimization method for the wind direction and wind speed measurement process as described above.

[0039] The technical solution provided by this application may have the following beneficial effects:

[0040] The measurement process of wind direction and speed sensors in wearable applications has been optimized. The main technical approach is to classify and combine event-related parameters by identifying gesture triggers and setting triggers, importing the current sensor measurement system status, the last wind speed measurement status, and the current measurement intensity determined by the event as operating parameters, and determining the heating output power and measurement duration of this measurement through comparison and weighted judgment methods. During the measurement phase, the temperature gradient changes and constant output power are monitored and judged, achieving a rapid match between the heat source power and the actual thermal power required for wind speed measurement. In essence, it reduces the time spent on achieving temperature stability through power adjustment, achieving the overall effect of low-power operation.

[0041] A protective top cover for the wind direction and speed sensor was designed to form a parallel corridor with the sensor base. Through turbulence model simulation, the structural parameters of the sampling air outlet were optimized, the nonlinear interval was suppressed, and a linear relationship between the actual wind speed in the environment and the wind speed in the corridor was established, so that the overall sensor achieved a compact layout suitable for wearable devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0043] Figure 1 The figure is a schematic structural diagram of a wind direction and speed sensor according to an exemplary embodiment.

[0044] Figure 2 The figure is a schematic structural diagram of a wind direction and speed sensor according to an exemplary embodiment.

[0045] Figure 3 The present invention is a flowchart of a method for low power consumption optimization of a wind direction and speed measurement process according to an exemplary embodiment.

[0046] Figure 4 The present invention is a flowchart of a method for low power consumption optimization of a wind direction and speed measurement process according to an exemplary embodiment.

[0047] Figure 5 The present invention is a flowchart of a method for low power consumption optimization of a wind direction and speed measurement process according to an exemplary embodiment.

[0048] Figure 6 The figure is a structural block diagram of a low-power consumption optimization device for a wind direction and speed measurement process according to an exemplary embodiment.

[0049] Figure 7 A structural block diagram of a computer device shown in an exemplary embodiment of the present application is shown.

[0050] Among them, 1-protective top cover; 2-base; 3-support column; 4-spiral heat source; 5-thermal measurement unit. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solution of this application in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0052] It should be understood that in the description of the embodiments of the present application, the term "corresponding" may indicate a direct or indirect correspondence between the two, or an association relationship between the two, or a relationship between indication and being indicated, configuration and being configured, etc.

[0053] Figure 1 and Figure 2 The figure is a schematic structural diagram of a wind direction and speed sensor according to an exemplary embodiment. The wind direction and speed sensor includes a protective cover 1, a base 2, and a support column 3. The support column 3 supports the protective cover 1 and the base 2 to form a parallel corridor.

[0054] In a possible embodiment, a spiral heat source 4 and a plurality of heat-sensitive measuring units 5 are provided in the parallel corridor;

[0055] The plurality of thermal measurement units 5 are evenly distributed around the spiral heat source 4;

[0056] The wind direction and speed sensor is also equipped with a control chip, which is used to:

[0057] Obtaining a first target trigger event; the first target trigger event is associated with operating parameters of the wind direction and speed sensor; the operating parameters include a measurement system state of the wind direction and speed sensor, a wind speed measurement state of the second target trigger event, and a target measurement intensity corresponding to the first target trigger event;

[0058] According to the measurement system state, the wind speed measurement state and the target measurement intensity, respectively obtaining a measurement system state weight, a wind speed measurement state weight and a measurement intensity weight;

[0059] According to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, a target output power and a target measurement time required for the measurement process corresponding to the first target trigger event are obtained, and wind direction and wind speed measurements are performed;

[0060] According to the temperature change rate measured during the wind direction and wind speed measurement process, the target output power is adjusted until the temperature change becomes constant.

[0061] In a possible implementation manner, the protective top cover 1 is arc-shaped, and the bottom surface and the top surface of the support column 3 are elliptical.

[0062] Optionally, the parallel corridor has an edge height of 12.2 mm, a center height of 9.7 mm, and a diameter of 40 mm.

[0063] Furthermore, there are eight thermosensitive measuring units 5 , and the eight thermosensitive measuring units 5 are evenly distributed around the heat source.

[0064] Furthermore, in order to solve the technical difficulties in miniaturization of existing wearable wind direction and speed sensors, this embodiment designs a thermal field wind sensor consisting of a spiral heat source 4 and 8 thermal sensitive measurement units 5; its sensing core is a uniformly heated heat source and a thermal resistance bridge surrounding it. The wind drives the heat flow to drift through the wind direction and speed sensor, forming a significant thermal difference in the wind direction and downstream. By monitoring the vector and amplitude of this thermal difference associated with the wind direction and speed, the digitized wind direction and speed can be obtained.

[0065] Furthermore, the use of the spiral heat source 4 adopts the thermal field type wind speed and direction measurement principle, which enhances the stability of the heat jet.

[0066] Furthermore, this embodiment adopts a streamlined ventilation corridor, such as an arc-shaped top cover and an elliptical support column, which enhances the wind collection capability and improves the low wind speed sampling sensitivity.

[0067] Furthermore, the channel edge height designed in this embodiment is 12.2 mm, the center height is 9.7 mm, and the diameter is 40 mm. The characteristic length of the channel based on the low Reynolds number matches the thermal jet field passing through the spiral heat source 4, suppressing the development of turbulence. The overall sensor achieves a compact layout suitable for wear.

[0068] In summary, the above scheme designs a protective top cover for the wind direction and speed sensor, forming a parallel corridor with the sensor base; through turbulence model simulation, the structural parameters of the sampling air outlet are optimized, the nonlinear interval is suppressed, and a linear relationship between the actual wind speed in the environment and the wind speed in the corridor is established, so that the overall sensor achieves a compact layout suitable for wearable wear.

[0069] Figure 3 This is a method flow chart showing a low power consumption optimization method for wind direction and wind speed measurement process according to an exemplary embodiment. The method is executed by the control chip of the wind direction and wind speed sensor. Figure 3 As shown, the method may include the following steps:

[0070] S301. Obtain a first target trigger event; the first target trigger event is associated with the operating parameters of the wind direction and wind speed sensor; the operating parameters include the measurement system status of the wind direction and wind speed sensor, the wind speed measurement status of the second target trigger event, and the target measurement intensity corresponding to the first target trigger event.

[0071] In one possible implementation, Figure 1It can be seen from the wind direction and wind speed sensor shown that the wind direction and wind speed sensor disclosed in this embodiment is a portable and wearable micro sensor. Therefore, when worn, the gesture trigger and the setting trigger can be first associated with the event, and then the trigger event is imported into the current sensor measurement system state (that is, the measurement system state of the above-mentioned wind direction and wind speed sensor), the last wind speed measurement state (that is, the wind speed measurement state of the above-mentioned second target trigger event, assuming that the first target trigger event is this wind speed measurement event, then the second target trigger event is the last wind speed measurement event of this wind speed measurement event) and the current measurement intensity determined by the event (that is, the target measurement intensity corresponding to the above-mentioned first target trigger event) as operating parameters to perform event-triggered wind direction and speed sensor measurements.

[0072] S302: Obtain a measurement system state weight, a wind speed measurement state weight, and a measurement intensity weight respectively according to the measurement system state, the wind speed measurement state, and the target measurement intensity.

[0073] In one possible implementation, the measurement system state of the current wind direction and wind speed sensor is analyzed, such as comparing the temperature change gradient and the 0 wind speed state, and then determining the measurement system state weight of the wind direction and wind speed sensor for this measurement; the wind speed measurement state of the second target trigger event (the previous trigger event of this trigger event) is analyzed, such as performing a weighted analysis on the measurement interval time of the previous trigger event and the frequency of occurrence of the measurement maximum value of the previous trigger event, and then determining the wind speed measurement state weight of the previous measurement of the wind direction and wind speed sensor; the target measurement intensity corresponding to the first target trigger event (i.e., this trigger event) is analyzed, such as performing a weighted analysis on the expected measurement time and the expected wind speed extreme value, and then determining the measurement intensity weight of the wind direction and wind speed sensor for this measurement.

[0074] S303: Obtain target output power and target measurement time required for the measurement process corresponding to the first target trigger event according to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, and perform wind direction and wind speed measurement.

[0075] In one possible implementation, after determining the measurement system state weight, wind speed measurement state weight, and measurement intensity weight of the wind direction and wind speed sensor for this measurement, the output power and measurement time required for the measurement process corresponding to this triggering event can be obtained based on the weighted analysis results of each weight. The wind direction and wind speed sensor performs wind direction and wind speed measurement based on the obtained output power and measurement time.

[0076] S304: Adjust the target output power according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change becomes constant.

[0077] In one possible embodiment, when the wind direction and speed sensor measures the wind direction and speed based on the obtained output power and measurement time, the temperature change gradient measured by the wind direction and speed sensor is measured in real time. When the temperature changes, the target output power is adjusted according to the temperature change rate until the temperature change is constant, and continuous measurement is performed, thereby achieving the effect of quickly matching the heat source power with the thermal power actually required for wind speed measurement, reducing the time spent on achieving temperature measurement stability through power adjustment.

[0078] In summary, the measurement process of wind direction and speed sensors in wearable applications has been optimized. The main technical approach is to classify and combine event-related parameters by identifying gesture triggers and setting triggers, import the current sensor measurement system status, the last wind speed measurement status, and the current measurement intensity determined by the event as operating parameters, and determine the heating output power and measurement duration of this measurement through comparison and weighted judgment methods. During the measurement phase, the temperature gradient changes and constant output power are monitored and judged to achieve a rapid match between the heat source power and the actual thermal power required for wind speed measurement. In essence, it reduces the time spent on achieving temperature stability through power adjustment, achieving the overall effect of low-power operation.

[0079] Figure 4 This is a method flow chart showing a low power consumption optimization method for wind direction and wind speed measurement process according to an exemplary embodiment. The method is executed by the control chip of the wind direction and wind speed sensor. Figure 4 As shown, the method may include the following steps:

[0080] S401. Obtain a first target trigger event; the first target trigger event is associated with the operating parameters of the wind direction and wind speed sensor; the operating parameters include the measurement system status of the wind direction and wind speed sensor, the wind speed measurement status of the second target trigger event, and the target measurement intensity corresponding to the first target trigger event.

[0081] In a possible implementation, the first target trigger event includes a gesture trigger event and a setting trigger event.

[0082] In one possible implementation, each gesture trigger and each setting trigger are associated with each event, respectively, based on the trigger information, so as to obtain each gesture trigger event and the setting trigger event, respectively; the trigger information includes the trigger environment, the trigger time, the trigger position, the initial measurement state of the wind direction and wind speed sensor, and at least one of the historical measurement state of the wind direction and wind speed sensor, and the event includes at least one of measurement, interaction, display, debugging, and calibration.

[0083] In a possible implementation manner, the second target triggering event is a previous triggering event of the first target triggering event.

[0084] In one possible embodiment, the measurement system state of the wind direction and wind speed sensor includes the temperature change gradient and the 0 wind speed state; the wind speed measurement state of the second target trigger event includes the measurement interval time and the frequency of occurrence of the measurement maximum value; the target measurement intensity corresponding to the first target trigger event includes the expected measurement time and the expected wind speed extreme value.

[0085] For further information, please refer to Figure 5 The method flow chart of a low power consumption optimization method for wind direction and wind speed measurement process shown in FIG, when performing association, according to the trigger information (ie Figure 5 The time association information in the wind direction and wind speed sensor includes the trigger environment, trigger time, trigger position, the initial measurement state of the wind direction and wind speed sensor, and the historical measurement state of the wind direction and wind speed sensor. Each gesture trigger and each setting trigger are associated with each event through an external event classifier and an internal event classifier, respectively, and then various operating parameters are imported. The operating parameters are the measurement system state of the wind direction and wind speed sensor, the wind speed measurement state of the second target trigger event, and the target measurement intensity corresponding to the first target trigger event.

[0086] Furthermore, gesture triggering refers to the recognition of human movement triggers through the built-in electromagnetic compass of the wind direction and speed sensor: for example, the forearm drives the watch to an approximately horizontal state, or the forearm's axial rapid movement is monitored to reach a certain acceleration, and it is believed that the user is inclined to use the wearable device of the wind direction and speed sensor, so the instrument can be awakened in advance to prepare for measurement, interaction and display; internal triggering is the timed triggering of measurement tasks, or the program event association of other user behaviors to wake up the measurement function, such as debugging, calibration and other non-wearable scene activities. Two classifiers (external event classifier and internal event classifier) ​​identify the above events and identify the application scenarios according to the trigger type, so as to set and respond according to the measurement intensity, duration, working mechanism, frequency, etc. preset in the scenario.

[0087] S402: Compare the temperature change gradient with the zero wind speed state to obtain a measurement system state weight.

[0088] In one possible embodiment, the measurement system state of the wind direction and wind speed sensor includes a temperature change gradient and a 0 wind speed state. The temperature change gradient and the 0 wind speed state of the wind direction and wind speed sensor's current triggering event are compared to determine the measurement system state weight of the wind direction and wind speed sensor's current triggering event.

[0089] Furthermore, the temperature change gradient includes a warming gradient and a cooling gradient. The warming gradient refers to the phenomenon of a step-by-step increase in air temperature, water temperature or soil temperature in nature as the height of the land or the depth of the water and soil changes. The cooling rate is an inherent property of the instrument. Its essence is that the output value of the temperature sensitive element of the contact measurement always lags behind the actual value of the measured change because its sensitive substance takes time to exchange heat with the medium. Under specified wind speed conditions, the time required for the element to reach temperature equilibrium is called the thermal hysteresis coefficient, also known as the time constant; in a natural environment, the thermal value coefficient decreases as the wind speed increases. The 0 wind speed state refers to the temperature distribution of the wind direction and speed sensor in the natural state when the wind speed is 0. It actually refers to the inherent error of the temperature deviation of each measuring point caused by the uneven heat conduction.

[0090] S403: Perform weighted calculation on the measurement interval time and the frequency of occurrence of the maximum measurement value to obtain a wind speed measurement state weight.

[0091] In a possible implementation, the wind speed measurement status of the second target trigger event (that is, the previous trigger event of this trigger event) includes a measurement interval time and a measurement maximum value, and a weighted calculation is used on the measurement interval time and the measurement maximum value to determine the weight of the previous wind speed measurement status.

[0092] S404: Perform weighted calculation on the expected measurement time and the expected extreme wind speed value to obtain a measurement intensity weight.

[0093] In one possible implementation, the target measurement intensity corresponding to the first target trigger event (i.e., this trigger event) includes the expected measurement time of this measurement and the expected wind speed extreme value of this measurement. The expected measurement time of this measurement and the expected wind speed extreme value of this measurement are also determined using weighted calculation to determine the weight of this measurement intensity.

[0094] S405 : Obtain target output power and target measurement time required for the measurement process corresponding to the first target trigger event according to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, and perform wind direction and wind speed measurement.

[0095] In a possible implementation, a weighted calculation is performed on the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight to obtain a target output power and a target measurement time required for the measurement process corresponding to the first target triggering event.

[0096] S406: Adjust the target output power according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change is constant.

[0097] In one possible implementation, Figure 5As shown, during the measurement process of the wind direction and speed sensor, the temperature gradient change of the wind direction and speed sensor is also monitored. When the temperature rises, the target output power of the wind direction and speed sensor for this measurement is increased until the temperature change is constant. At this time, the measurement will continue according to the above-mentioned target measurement time. At the end of the measurement, the measured wind direction and speed are output.

[0098] In summary, the measurement process of wind direction and speed sensors in wearable applications has been optimized. The main technical approach is to classify and combine event-related parameters by identifying gesture triggers and setting triggers, import the current sensor measurement system status, the last wind speed measurement status, and the current measurement intensity determined by the event as operating parameters, and determine the heating output power and measurement duration of this measurement through comparison and weighted judgment methods. During the measurement phase, the temperature gradient changes and constant output power are monitored and judged to achieve a rapid match between the heat source power and the actual thermal power required for wind speed measurement. In essence, it reduces the time spent on achieving temperature stability through power adjustment, achieving the overall effect of low-power operation.

[0099] Figure 6 This is a block diagram of a low-power optimization device for wind direction and speed measurement according to an exemplary embodiment. The device includes:

[0100] A first target trigger event acquisition module 601 is configured to acquire a first target trigger event; the first target trigger event is associated with operating parameters of a wind direction and speed sensor; the operating parameters include a measurement system state of the wind direction and speed sensor, a wind speed measurement state of the second target trigger event, and a target measurement intensity corresponding to the first target trigger event;

[0101] Each weight acquisition module 602 is used to respectively acquire a measurement system state weight, a wind speed measurement state weight, and a measurement intensity weight according to the measurement system state, the wind speed measurement state, and the target measurement intensity;

[0102] The wind direction and speed measurement module 603 is configured to obtain the target output power and target measurement time required for the measurement process corresponding to the first target trigger event based on the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, and perform wind direction and wind speed measurement;

[0103] The target output power adjustment module 604 is configured to adjust the target output power according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change is constant.

[0104] In a possible implementation, the target trigger event includes a gesture trigger event and a setting trigger event.

[0105] In one possible embodiment, the device is further used for:

[0106] According to the trigger information, each gesture trigger and each setting trigger are associated with each event respectively to obtain each gesture trigger event and the setting trigger event respectively; the trigger information includes the trigger environment, the trigger time, the trigger position, the initial measurement state of the wind direction and wind speed sensor and the historical measurement state of the wind direction and wind speed sensor, and the event includes at least one of measurement, interaction, display, debugging and calibration.

[0107] In a possible implementation manner, the second target triggering event is a previous triggering event of the first target triggering event.

[0108] In one possible embodiment, the measurement system state of the wind direction and wind speed sensor includes the temperature change gradient and the 0 wind speed state; the wind speed measurement state of the second target trigger event includes the measurement interval time and the frequency of occurrence of the measurement maximum value; the target measurement intensity corresponding to the first target trigger event includes the expected measurement time and the expected wind speed extreme value.

[0109] In a possible implementation, the weight acquisition module 602 is further configured to:

[0110] Comparing the temperature change gradient with the zero wind speed state to obtain a measurement system state weight;

[0111] Performing weighted calculation on the measurement interval time and the frequency of occurrence of the measurement maximum value to obtain a wind speed measurement state weight;

[0112] A weighted calculation is performed on the expected measurement time and the expected wind speed extreme value to obtain a measurement intensity weight.

[0113] In a possible implementation, the wind direction and wind speed measurement module 603 is further configured to:

[0114] A weighted calculation is performed on the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight to obtain a target output power and a target measurement time required for a measurement process corresponding to a first target triggering event.

[0115] In summary, the measurement process of wind direction and speed sensors in wearable applications has been optimized. The main technical approach is to classify and combine event-related parameters by identifying gesture triggers and setting triggers, import the current sensor measurement system status, the last wind speed measurement status, and the current measurement intensity determined by the event as operating parameters, and determine the heating output power and measurement duration of this measurement through comparison and weighted judgment methods. During the measurement phase, the temperature gradient changes and constant output power are monitored and judged to achieve a rapid match between the heat source power and the actual thermal power required for wind speed measurement. In essence, it reduces the time spent on achieving temperature stability through power adjustment, achieving the overall effect of low-power operation.

[0116] See also Figure 7 , which is a structural block diagram of a computer device provided according to an exemplary embodiment of the present application, the computer device includes a memory and a processor, the memory is used to store a computer program, and when the computer program is executed by the processor, it implements the above-mentioned low-power optimization method for the wind direction and wind speed measurement process.

[0117] The processor may be a central processing unit (CPU). The processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0118] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as the program instructions / modules corresponding to the methods in the embodiments of this application. The processor executes the non-transitory software programs, instructions, and modules stored in the memory to perform various functional applications and data processing of the processor, thereby implementing the methods in the above-mentioned method embodiments.

[0119] The memory 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 by the processor, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include a memory remotely located relative to the processor, and these remote memories may be connected to the processor 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.

[0120] In an exemplary embodiment, a computer-readable storage medium is further provided, storing at least one computer program, which is loaded and executed by a processor to implement all or part of the steps of the above method. For example, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, or an optical data storage device.

[0121] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0122] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A low-power optimization method for wind direction and speed measurement process, characterized in that: The method is executed by a control chip of a wind direction and speed sensor, and includes: Obtaining a first target trigger event; the first target trigger event is associated with operating parameters of a wind direction and speed sensor; the operating parameters include a measurement system state of the wind direction and speed sensor, a wind speed measurement state of a second target trigger event, and a target measurement intensity corresponding to the first target trigger event; the first target trigger event includes a gesture trigger event and a setting trigger event; the second target trigger event is a trigger event preceding the first target trigger event; According to the measurement system state, the wind speed measurement state and the target measurement intensity, respectively obtaining a measurement system state weight, a wind speed measurement state weight and a measurement intensity weight; According to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, the target output power and target measurement time required for the measurement process corresponding to the first target trigger event are obtained, and wind direction and wind speed measurements are performed; The target output power is adjusted according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change becomes constant.

2. The method according to claim 1, characterized in that Before acquiring the first target triggering event, the method further includes: According to the trigger information, each gesture trigger and each setting trigger are associated with each event respectively to obtain each gesture trigger event and the setting trigger event respectively; the trigger information includes the trigger environment, the trigger time, the trigger position, the initial measurement state of the wind direction and wind speed sensor and the historical measurement state of the wind direction and wind speed sensor, and the event includes at least one of measurement, interaction, display, debugging and calibration.

3. The method according to claim 1 or 2, characterized in that The measurement system status of the wind direction and wind speed sensor includes the temperature change gradient and the 0 wind speed state; the wind speed measurement status of the second target trigger event includes the measurement interval time and the frequency of occurrence of the measurement maximum value; the target measurement intensity corresponding to the first target trigger event includes the expected measurement time and the expected wind speed extreme value.

4. The method according to claim 3, characterized in that The obtaining, according to the measurement system state, the wind speed measurement state, and the target measurement intensity, a measurement system state weight, a wind speed measurement state weight, and a measurement intensity weight, respectively, includes: Comparing the temperature change gradient with the zero wind speed state to obtain a measurement system state weight; Performing weighted calculation on the measurement interval time and the frequency of occurrence of the measurement maximum value to obtain a wind speed measurement state weight; A weighted calculation is performed on the expected measurement time and the expected wind speed extreme value to obtain a measurement intensity weight.

5. The method according to claim 4, characterized in that The acquiring, according to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, a target output power and a target measurement time required for a measurement process corresponding to a first target triggering event, includes: A weighted calculation is performed on the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight to obtain a target output power and a target measurement time required for a measurement process corresponding to a first target triggering event.

6. A wind direction and speed sensor, characterized in that: The wind direction and speed sensor includes a protective top cover, a base, and a support column, wherein the support column supports the protective top cover and the base to form a parallel corridor; A spiral heat source and a plurality of heat-sensitive measuring units are provided in the parallel corridor; The plurality of thermal measurement units are evenly distributed around the spiral heat source; The wind direction and speed sensor is also provided with a control chip, which is used to: Obtaining a first target trigger event; the first target trigger event is associated with operating parameters of a wind direction and speed sensor; the operating parameters include a measurement system state of the wind direction and speed sensor, a wind speed measurement state of a second target trigger event, and a target measurement intensity corresponding to the first target trigger event; the first target trigger event includes a gesture trigger event and a setting trigger event; The second target triggering event is a previous triggering event of the first target triggering event; According to the measurement system state, the wind speed measurement state and the target measurement intensity, respectively obtaining a measurement system state weight, a wind speed measurement state weight and a measurement intensity weight; According to the measurement system state weight, the wind speed measurement state weight, and the measurement intensity weight, the target output power and target measurement time required for the measurement process corresponding to the first target trigger event are obtained, and wind direction and wind speed measurements are performed; The target output power is adjusted according to the temperature change rate measured during the wind direction and wind speed measurement process until the temperature change becomes constant.

7. The wind direction and speed sensor according to claim 6, characterized in that: The protective top cover is arc-shaped, and the bottom surface and top surface of the support column are elliptical.

8. The wind direction and speed sensor according to claim 7, characterized in that: The parallel corridors have an edge height of 12.2 mm, a center height of 9.7 mm, and a diameter of 40 mm.

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