CN113867142A - Sensor control method, sensor control device, electronic device and storage medium - Google Patents
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Abstract
The present disclosure provides a sensor control method, an apparatus, an electronic device, and a storage medium, where the method includes: based on the initial sampling frequency, starting sampling of the sensor; acquiring sensor data acquired by a sensor; analyzing the sensor data to obtain a data change value; and adjusting the initial sampling frequency to the target sampling frequency according to the data change value. By the method and the device, the sampling frequency of the sensor can be adaptively adjusted, so that the detection effect of the sensor can be effectively guaranteed, and the memory consumption of the sensor during use can be effectively reduced.
Description
Technical Field
The present disclosure relates to the field of electronic devices, and in particular, to a sensor control method and apparatus, an electronic device, and a storage medium.
Background
The sensor is one of the common devices of electronic equipment, can collect equipment information, and plays an indispensable role in algorithms such as inertial navigation, pattern recognition, pedometer and the like.
In the related art, the power consumption of the sensor increases as the sampling frequency increases.
In this way, in the using process of the sensor, great power consumption waste is caused, and thus the control effect of the sensor is influenced.
Disclosure of Invention
The present disclosure is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, an object of the present disclosure is to provide a sensor control method, an apparatus, an electronic device, and a storage medium, which can adaptively adjust a sampling frequency of a sensor, thereby effectively ensuring a detection effect of the sensor and effectively reducing memory consumption of the sensor during use.
In order to achieve the above object, an embodiment of the first aspect of the present disclosure provides a sensor control method, including: based on the initial sampling frequency, starting sampling of the sensor; acquiring sensor data acquired by the sensor; analyzing the sensor data to obtain a data change value; and adjusting the initial sampling frequency to a target sampling frequency according to the data change value.
In some embodiments of the present disclosure, after the adjusting the initial sampling frequency to the target sampling frequency according to the data variation value, further includes:
based on the target sampling frequency, sampling of the sensor is performed.
In some embodiments of the present disclosure, the analyzing the sensor data to obtain a data change value comprises:
according to the sensor data, analyzing to obtain first sensor data in a first time range from a current time point, wherein the first time range has a corresponding first starting time point;
according to the sensor data, second sensor data in a second time range from the current time point is obtained through analysis; a second start time point of the second time range is earlier than the first start time point;
determining a change value of the second sensor data with respect to the first sensor data as the data change value.
In some embodiments of the present disclosure, the first sensor data comprises: a first data peak, the second sensor data comprising: a second data peak value, wherein the determining a change value of the second sensor data relative to the first sensor data as the data change value comprises:
determining a change value of the second data peak value relative to the first data peak value as the data change value.
In some embodiments of the present disclosure, the first sensor data further comprises: a first peak rate of change indicating: a frequency of change of the first data peak within the first time range, the second sensor data comprising: a second peak rate of change indicating: a frequency of change in the second data peak over the second time range,
wherein the determining a change value of the second sensor data with respect to the first sensor data as the data change value includes:
determining a change value of the second peak change rate relative to the first peak change rate as the data change value.
In some embodiments of the present disclosure, the first sensor data comprises: a first data average, the second sensor data comprising: a second data average value, wherein the determining a change value of the second sensor data with respect to the first sensor data as the data change value includes:
determining a variation value of the second data average relative to the first data average as the data variation value.
In some embodiments of the present disclosure, the adjusting the initial sampling frequency to a target sampling frequency according to the data variation value includes:
if the data change value is larger than a set threshold value, determining a first target sampling frequency according to the data change value, wherein the first target sampling frequency is larger than the initial sampling frequency;
adjusting the initial sampling frequency to the first target sampling frequency. In some embodiments of the present disclosure, the adjusting the initial sampling frequency to a target sampling frequency according to the data variation value includes:
if the data change value is smaller than or equal to a set threshold value, determining a second target sampling frequency according to the data change value, wherein the second target sampling frequency is smaller than the initial sampling frequency;
adjusting the initial sampling frequency to the second target sampling frequency.
According to the sensor control method provided by the embodiment of the first aspect of the disclosure, the sampling of the sensor is started based on the initial sampling frequency, the sensor data acquired by the sensor is acquired, the sensor data is analyzed to obtain the data change value, and the initial sampling frequency is adjusted to the target sampling frequency according to the data change value, so that the sampling frequency of the sensor can be adaptively adjusted, and the memory consumption of the sensor during use can be effectively reduced while the detection effect of the sensor is effectively guaranteed.
In order to achieve the above object, an embodiment of a second aspect of the present disclosure provides a sensor control device, including: the starting module is used for starting sampling of the sensor based on the initial sampling frequency; the acquisition module is used for acquiring sensor data acquired by the sensor; the analysis module is used for analyzing the sensor data to obtain a data change value; and the adjusting module is used for adjusting the initial sampling frequency to a target sampling frequency according to the data change value.
In some embodiments of the present disclosure, the apparatus, further comprises:
and the sampling module is used for executing sampling of the sensor based on the target sampling frequency after the initial sampling frequency is adjusted to the target sampling frequency according to the data change value.
In some embodiments of the disclosure, the analysis module comprises:
the first analysis submodule is used for analyzing and obtaining first sensor data in a first time range from a current time point according to the sensor data, and the first time range has a corresponding first starting time point;
the second analysis submodule is used for analyzing and obtaining second sensor data in a second time range from the current time point according to the sensor data; a second start time point of the second time range is earlier than the first start time point;
a determination submodule configured to determine a change value of the second sensor data with respect to the first sensor data as the data change value.
In some embodiments of the present disclosure, the first sensor data comprises: a first data peak, the second sensor data comprising: a second data peak, wherein the determining submodule is specifically configured to:
determining a change value of the second data peak value relative to the first data peak value as the data change value.
In some embodiments of the present disclosure, the first sensor data further comprises: a first peak rate of change indicating: a frequency of change of the first data peak within the first time range, the second sensor data comprising: a second peak rate of change indicating: a frequency of change in the second data peak over the second time range,
wherein the determining submodule is specifically configured to:
determining a change value of the second peak change rate relative to the first peak change rate as the data change value.
In some embodiments of the present disclosure, the first sensor data comprises: a first data average, the second sensor data comprising: a second data average, wherein the determining submodule is specifically configured to:
determining a variation value of the second data average relative to the first data average as the data variation value.
In some embodiments of the present disclosure, the adjusting module is specifically configured to:
if the data change value is larger than a set threshold value, determining a first target sampling frequency according to the data change value, wherein the first target sampling frequency is larger than the initial sampling frequency;
adjusting the initial sampling frequency to the first target sampling frequency.
In some embodiments of the present disclosure, the adjusting module is specifically configured to:
if the data change value is smaller than or equal to a set threshold value, determining a second target sampling frequency according to the data change value, wherein the second target sampling frequency is smaller than the initial sampling frequency;
adjusting the initial sampling frequency to the second target sampling frequency.
According to the sensor control device provided by the embodiment of the second aspect of the disclosure, the sampling of the sensor is started based on the initial sampling frequency, the sensor data acquired by the sensor is acquired, the sensor data is analyzed to obtain the data change value, and the initial sampling frequency is adjusted to the target sampling frequency according to the data change value, so that the sampling frequency of the sensor can be adaptively adjusted, and the memory consumption of the sensor during use can be effectively reduced while the detection effect of the sensor is effectively guaranteed.
An embodiment of a third aspect of the present disclosure provides an electronic device, including: the sensor control method comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the sensor control method according to the embodiment of the first aspect of the disclosure.
A fourth aspect of the present disclosure provides a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the sensor control method as set forth in the first aspect of the present disclosure.
An embodiment of a fifth aspect of the present disclosure provides a computer program product, which when executed by an instruction processor performs the sensor control method as set forth in the embodiment of the first aspect of the present disclosure.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
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The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a sensor control method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a process of changing sensor data during a time period from 0 to t according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram illustrating a process of changing sensor data during a time period t-t1 according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a process of changing sensor data during a time period t1-t2 according to an embodiment of the present disclosure;
fig. 5 is a schematic flow chart of a sensor control method according to another embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a sensor control device according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a sensor control device according to another embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of illustrating the present disclosure and should not be construed as limiting the same. On the contrary, the embodiments of the disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a schematic flow chart of a sensor control method according to an embodiment of the present disclosure.
The present embodiment is exemplified in a case where the sensor control method is configured as a sensor control device.
The sensor control method of the embodiment may be configured in a sensor control device, and the control device of the sensor may be disposed in a server, or may also be disposed in a mobile terminal, which is not limited in the embodiment of the present disclosure.
The sensor control apparatus of this embodiment may be specifically configured in a control device for a sensor, and the control device may be, for example, a terminal device such as a mobile phone and a tablet computer, which is not limited thereto.
It should be noted that the execution main body of this embodiment may be, for example, a Central Processing Unit (CPU) in a server or a mobile terminal in terms of hardware, and may be, for example, a related background service in the server or the mobile terminal in terms of software, which is not limited to this.
As shown in fig. 1, the sensor control method includes:
s101: based on the initial sampling frequency, sampling of the sensor is initiated.
The sensor may need different sampling frequencies when acquiring sensor data with different characteristics (the sensor data may be data actually acquired by the sensor), and thus an application scenario of the embodiment of the present disclosure may specifically be, for example, using a sensor control device to dynamically control and adjust the sampling frequency of the sensor according to the characteristics of the data actually acquired by the sensor (for example, increasing the sampling frequency, decreasing the sampling frequency, and the like, which is not limited).
The sensor may be, for example, an acceleration sensor in an electronic device, which is not limited to this.
The sampling frequency of the sensor at the initial stage of operation may be referred to as an initial sampling frequency, and the initial sampling frequency may be obtained by calibrating in advance according to the historical operating state of the sensor, which is not limited to this.
The initial sampling frequency may be, for example, an average sampling frequency of the historical operating conditions of the sensor, or a highest sampling frequency of the historical operating conditions of the sensor, which is not limited herein.
In the embodiment of the present disclosure, the sensor may be an acceleration sensor, and of course, the sensor may also be a sensor that performs any other data collection task, which is not limited to this.
In some embodiments, the sampling of the sensor is started based on the initial sampling frequency, which may be when the acceleration sensor is turned on, that is, the initial sampling frequency is started, so as to sample the sensor for a preset time period based on the initial sampling frequency.
For example, after the acceleration sensor is turned on, the highest sampling frequency may be started, and the acceleration sensor may be controlled to perform sampling for 10 seconds to obtain corresponding sensor data, which is not limited herein.
S102: sensor data collected by the sensor is acquired.
The sensor data collected by the sensor may be obtained after starting sampling of the sensor based on the initial sampling frequency, and if the sensor is an acceleration sensor, the sensor data may be, for example, an average value of acceleration, a maximum amplitude of acceleration, a minimum amplitude of acceleration, an amplitude change frequency of acceleration, an acceleration variance, and the like, which is not limited thereto.
Of course, the sensor data may be any other possible type of data, without limitation.
In some embodiments, the acquiring of the sensor data acquired by the sensor may be to perform real-time monitoring on the sensor data acquired by the sensor through a preconfigured data monitoring device, and perform visual display on the sensor data monitored by the data monitoring device through a preconfigured data display platform, or may also acquire the sensor data acquired by the sensor in any other possible manner, which is not limited to this.
S103: the sensor data is analyzed to obtain a data change value.
After the sensor data acquired by the sensor is obtained, the sensor data may be analyzed to obtain a data change value, for example, the sensor data may be compared with sensor data obtained historically to determine the data change value, or when the sensor data corresponds to a time period, the change value of the sensor data in the time period dimension may be directly analyzed as the data change value, which is not limited herein.
The quantized values used to describe the sensor data changes may be referred to as data change values.
The data change value may be used to describe a data change condition in a period of time, and may also be used to describe a data change of a current time period relative to a previous time period of the current time period, which is not limited to this.
In some embodiments, the analyzing of the sensor data to obtain the data change value may be a real-time monitoring and recording of the sensor data in a period of time (0-t), for example, the 0-t time may be equally divided into n (n is a positive integer greater than or equal to 1) time intervals, and the sensor data difference values of adjacent time intervals are calculated and used as the data change value.
In other embodiments, the sensor is analyzed to obtain the data variation value, and an average value of the sensor data in the current time period and an average value of the sensor data in a previous time period of the current time period may be calculated, and a difference between the average value of the sensor data in the current time period and the average value in the previous time period may be calculated and used as the data variation value.
In this embodiment, a schematic diagram of a change process of sensor data is further constructed according to sensor data monitored in real time, as shown in fig. 2, 3, and 4, fig. 2 is a schematic diagram of a change process of sensor data in a time period from 0 to t according to an embodiment of the present disclosure, fig. 3 is a schematic diagram of a change process of sensor data in a time period from t to t1 according to an embodiment of the present disclosure, and fig. 4 is a schematic diagram of a change process of sensor data in a time period from t1 to t2 according to an embodiment of the present disclosure, as shown in fig. 2, 3, and 4, a change situation of sensor data can be expressed more intuitively by using the schematic diagrams of the change process of sensor data shown in fig. 2, 3, and 4.
S104: and adjusting the initial sampling frequency to the target sampling frequency according to the data change value.
After the sensor data is analyzed to obtain the data change value, the initial sampling frequency can be adjusted to the adaptive sampling frequency according to the data change value, the sampling frequency can be called as a target sampling frequency, wherein the 'adaptation' means that under the adaptive sampling frequency, the requirement for the accuracy of sensor data detection can be effectively considered, the use effect of the sensor data is effectively guaranteed, the power consumption of sensor sampling is reduced as much as possible, the utilization efficiency of the sensor data is improved, and the occupation of useless data on resources is reduced.
In some embodiments, the initial sampling frequency may be adjusted to the target sampling frequency according to the data variation value and the service requirement of the actual service scenario, for example: the initial sampling frequency can be adjusted by increasing the sampling frequency, decreasing the sampling frequency and maintaining the sampling frequency according to the service requirements of the actual service scene, so as to adjust the initial sampling frequency to the target sampling frequency, which is not limited herein.
For example, an acceleration sensor configured in a mobile phone may be used for example, when the mobile phone executes high-power-consumption algorithm work such as inertial navigation, mode recognition, a pedometer, and the like, a sampling frequency with a higher frequency may be needed to meet the requirement of the mobile phone algorithm work, and at this time, the initial sampling frequency may be adjusted according to a data change value to obtain a target sampling frequency.
For example, as shown in the schematic diagram of the sensor data change process in the time period from 0 to t shown in fig. 2, a sampling frequency higher than the initial sampling frequency may be used at this time, so that the sampling frequency may be increased on the basis of the initial sampling frequency to obtain the target sampling frequency, as shown in the schematic diagram of the sensor data change process in the time period from t to t1 shown in fig. 3, a sampling frequency higher than the sampling frequency in the time period from 0 to t may be used at this time, so that the sampling frequency may be further increased on the basis of the initial sampling frequency to obtain the target sampling frequency, as shown in the schematic diagram of the sensor data change process in the time period from t1 to t2 shown in fig. 4, at this time, a sampling frequency lower than the initial sampling frequency may be used, thereby, the sampling frequency can be further reduced on the basis of the initial sampling frequency to obtain the target sampling frequency.
In this embodiment, the sampling of the sensor is started based on the initial sampling frequency, the sensor data collected by the sensor is acquired, the sensor data is analyzed to obtain a data change value, and the initial sampling frequency is adjusted to the target sampling frequency according to the data change value, so that the sampling frequency of the sensor can be adaptively adjusted, and the memory consumption of the sensor during use can be effectively reduced while the detection effect of the sensor can be effectively guaranteed.
Fig. 5 is a schematic flow chart of a sensor control method according to another embodiment of the present disclosure.
As shown in fig. 5, the sensor control method includes:
s501: based on the initial sampling frequency, sampling of the sensor is initiated.
S502: sensor data collected by the sensor is acquired.
For the description of S501-S502, reference may be made to the above embodiments, which are not described herein again.
S503: according to the sensor data, first sensor data in a first time range from a current time point is obtained through analysis, and the first time range has a corresponding first starting time point.
In combination with the above example, a previous time range before the current time point may be referred to as a first time range, a starting time point corresponding to the first time range may be referred to as a first starting time point, and accordingly, the first time range may specifically be, for example, a time range between the first starting time point and the current time point, which is not limited to this.
After the sensor data of the sensor is obtained, the sensor data in the first time range up to the current time point may be obtained through analysis according to the sensor data, where the sensor data may be referred to as first sensor data, and the first sensor data may specifically be, for example, a maximum amplitude of the sensor data in the first time range, an average value of the sensor data, and the like, which is not limited to this.
In some embodiments, the sensor data may be parsed to obtain the first sensor data, for example, the time information corresponding to the sensor data may be parsed to obtain the time information t1 matching with the first starting time point and the time information t matching with the current time point, to obtain the time range of the first time range t1-t, and a plurality of sensor data between the time ranges t1-t may be determined, and then may be collectively used as the first sensor data.
In other embodiments, the plurality of sensor data between t1-t may be further processed correspondingly to obtain the first sensor data, for example, an average value of the sensor data in a time range of t1-t may be calculated and used as the first sensor data, and a maximum amplitude of the sensor data in a time range of t1-t may be calculated and used as the first sensor data, which is not limited in this respect.
S504: according to the sensor data, second sensor data in a second time range from the current time point is obtained through analysis; the second starting point in time of the second time range is earlier than the first starting point in time.
A certain starting time point before the first starting time point may be referred to as a second starting time point, a corresponding time range from the second starting time point to the current time point may be referred to as a second time range, the second time range is greater than the first time range, and the second time range may be, for example, a time range from the second starting time point to the current time point, which is not limited thereto.
After the sensor data of the sensor is obtained, the sensor data in the second time range up to the current time point may be obtained through analysis according to the sensor data, where the sensor data may be referred to as second sensor data, and the second sensor data may specifically be, for example, a maximum amplitude of the sensor data in the second time range, an average value of the sensor data, and the like, which is not limited to this.
In some embodiments, the sensor data may be analyzed to obtain the second sensor data, for example, the time information corresponding to the sensor data may be analyzed to obtain the time information t2 matching the second starting time point and the time information t matching the current time point, to obtain the time range t2-t, and determine a plurality of sensor data between the time ranges t2-t, which may be collectively used as the second sensor data.
In other embodiments, the plurality of sensor data between t2-t may be further processed correspondingly to obtain the second sensor data, for example, an average value of the sensor data in the time range of t2-t may be calculated and used as the second sensor data, and a maximum data value of the sensor data in the time range of t2-t may be calculated and used as the second sensor data, which is not limited in this respect.
S505: a change value of the second sensor data with respect to the first sensor data is determined as a data change value.
After the first sensor data in the first time range and the second sensor data in the second time range are determined, the data change value of the second sensor data relative to the first sensor can be determined as the data change value, the data change value can assist in determining the target sampling frequency in the subsequent sensor control process, and the data change value is determined by combining the first sensor data in the first time range and the second sensor data in the second time range, so that the determination logic of the data change value can be effectively simplified, the accuracy of the data change value can be effectively guaranteed, and the determination efficiency of the data change value can be effectively improved.
In some embodiments, determining a change value of the second sensor data relative to the first sensor data as the data change value may be determining a data difference value of the first sensor data and the second sensor data, and taking the data difference value as the data change value.
Optionally, in some embodiments, the determination of the variation value of the second sensor data relative to the first sensor data as the data variation value may be determination of the variation value of the second data peak relative to the first data peak as the data variation value, and thus, a more specific quantization dimension may be provided for the data variation value, so that the data variation can be specifically quantized more accurately, and the execution of the sensor control method can be assisted more effectively.
The peak value of the sensor data in the second time range may be referred to as a second data peak value, the peak value of the sensor data in the first time range may be referred to as a first data peak value, and accordingly, the variation value of the second data peak value with respect to the first data peak value may be determined by determining the difference value between the peak value of the sensor data in the first time range and the peak value of the sensor data in the second time range, and taking the difference value as the data variation value.
Optionally, in some embodiments, the first sensor data further includes a first data average value, the second sensor data further includes a second data average value, and accordingly, a variation value of the second sensor data with respect to the first sensor data is determined as a data variation value, which may be a variation value of the second data average value with respect to the first data average value is determined as a data variation value.
The average value of the first sensor data in the first time range may be referred to as a first data average value, and the average value of the second sensor data in the second time range may be referred to as a second data average value, and accordingly, a change value of the second data value with respect to the first data average value is determined, and a difference value between the first data average value and the second data average value may be determined and used as a data change value.
Optionally, in other embodiments, the first sensor data further includes a first peak change rate, the second sensor data further includes a second peak change rate, and accordingly, a change value of the second sensor data with respect to the first sensor data is determined as the data change value, and a change value of the second peak change rate with respect to the first peak change rate may be determined as the data change value. .
The frequency of the peak change of the first sensor data in the first time range may be referred to as a first peak change rate, the frequency of the peak change of the second sensor data in the second time range may be referred to as a second peak change rate, the peak change rate may be used to represent the jitter frequency of the sensor data, a larger peak change rate may indicate a higher data jitter frequency, and conversely, a smaller peak change rate may indicate a lower data jitter frequency.
Accordingly, the determination of the change value of the second peak change rate with respect to the first peak change rate may be determining a difference value between the first peak change rate and the second peak change rate, and taking the difference value as the data change value.
S506: and if the data change value is larger than the set threshold, determining a first target sampling frequency according to the data change value, wherein the first target sampling frequency is larger than the initial sampling frequency.
After the data change value of the second sensor data relative to the first sensor data is determined, the data change value may be compared with a preset threshold (the preset threshold may be referred to as a set threshold, and the set threshold may be configured adaptively according to an actual service scenario, without limitation), and if the data change value is greater than the set threshold, a required target sampling frequency may be determined according to the data change value, where the target sampling frequency may be referred to as a first target sampling frequency, and the first target sampling frequency is greater than the initial sampling frequency.
In this embodiment, if the data change value is greater than the set threshold, it is indicated that, in the current service scenario, the sensor may have a sampling frequency higher than the initial sampling frequency to meet the requirement of the current sensor algorithm, and at this time, the sampling frequency required currently may be determined according to the data change value, and the sampling frequency is used as the first target sampling frequency.
In some embodiments, the first target sampling frequency may be determined by a pre-trained sampling frequency prediction model, where the sampling frequency prediction model may be a deep learning model (of course, any other possible model may be used, such as a machine learning model, a neural network model, etc., without limitation) trained according to the historical sampling frequency adjustment records of the sensor, and the first target sampling frequency may be determined by the pre-trained sampling frequency prediction model, where the first target sampling frequency output by the sampling frequency prediction model may be obtained by using the data change value as an input parameter of the sampling frequency prediction model.
S507: the initial sampling frequency is adjusted to a first target sampling frequency.
After the first target sampling frequency is determined according to the data change value, the initial sampling frequency can be adjusted to the first target sampling frequency, so that the adaptive sampling frequency can be accurately determined, and the determined first target sampling frequency can have a higher reference value.
S508: and if the data change value is less than or equal to the set threshold, determining a second target sampling frequency according to the data change value, wherein the second target sampling frequency is less than the initial sampling frequency.
After the data change value of the second sensor data relative to the first sensor data is determined, the data change value may be compared with a preset threshold (the preset threshold may be configured adaptively according to an actual service scenario, and is not limited thereto), and if the data change value is less than or equal to the preset threshold, a required target sampling frequency may be determined according to the data change value, where the target sampling frequency may be referred to as a second target sampling frequency, and the second target sampling frequency is less than the initial sampling frequency.
In this embodiment, if the data change value is less than or equal to the set threshold, it indicates that the change effect of the sensor data is relatively insignificant in the current service scenario, at this time, a small amount of sensor data may be used to assist the actual use effect of the subsequent sensor data, and at this time, if the initial sampling frequency is maintained, excessive redundant data may be introduced with a high probability.
In some embodiments, the second target sampling frequency may be determined by a pre-trained sampling frequency prediction model, where the sampling frequency prediction model may be a deep learning model (of course, any other possible model may be used, such as a machine learning model, a neural network model, etc., without limitation) trained according to the historical sampling frequency adjustment records of the sensor, and the second target sampling frequency may be determined by the pre-trained sampling frequency prediction model, where the second target sampling frequency output by the sampling frequency prediction model may be obtained by using the data change value as an input parameter of the sampling frequency prediction model.
S509: the initial sampling frequency is adjusted to a second target sampling frequency.
The initial sampling frequency can be adjusted to the second target sampling frequency after the second target sampling frequency is determined according to the data change value, and the initial sampling frequency is adjusted to the second target sampling frequency with lower sampling frequency according to the service requirement of the actual service scene, so that the power consumption of the sensor during use can be effectively reduced while the sensor data sampling requirement of the actual service scene is met, and the endurance time of the sensor can be effectively increased.
S510: based on the target sampling frequency, sampling of the sensor is performed.
The above-mentioned when confirming the target sampling frequency, can trigger based on the target sampling frequency, carry out the sampling to the sensor, from this, can carry out the sampling to the sensor with the most suitable sampling frequency to can effectively avoid the extravagant while of consumption, guarantee the continuity of sensor sampling effectively, thereby guarantee the sampling effect of sensor effectively.
In some embodiments, the sampling of the sensor is performed based on the target sampling frequency, and may be performed according to the target sampling frequency in response to a sampling request of the sensor, or may be performed by calibrating a current sampling frequency of the sensor according to the target sampling frequency in response to a sampling request of the sensor, so as to perform the sampling of the sensor, which is not limited herein.
In the embodiment, the sampling of the sensor is started based on the initial sampling frequency, the sensor data collected by the sensor is obtained, after the first sensor data in the first time range and the second sensor data in the second time range are determined, the data change value of the second sensor data relative to the first sensor data can be determined as the data change value, the data change value can be used as the target sampling frequency in the subsequent sensor control process, the target sampling frequency can be determined in an auxiliary manner, because the data change value is determined by combining the first sensor data in the first time range and the second sensor data in the second time range, the determination logic of the data change value can be effectively simplified, the accuracy of the data change value can be effectively guaranteed, the determination efficiency of the data change value can be effectively improved, after the first target sampling frequency is determined according to the data change value, the initial sampling frequency may be adjusted to a first target sampling frequency, whereby an adapted sampling frequency can be accurately determined, so that the determined first target sampling frequency can have a higher reference value, after determining the second target sampling frequency based on the data variation value, the initial sampling frequency may be adjusted to the second target sampling frequency, because the initial sampling frequency is adjusted to the second target sampling frequency with lower sampling frequency according to the service requirement of the actual service scene, the power consumption of the sensor during use can be effectively reduced while the sensor data sampling requirement of the actual service scene is met, therefore, the endurance time of the sensor can be effectively increased, the sensor can be sampled at the most appropriate sampling frequency, and the detection effect of the sensor can be effectively guaranteed.
Fig. 6 is a schematic structural diagram of a sensor control device according to an embodiment of the present disclosure.
As shown in fig. 6, the sensor control device 60 includes:
a starting module 601, configured to start sampling of the sensor based on the initial sampling frequency;
an obtaining module 602, configured to obtain sensor data acquired by the sensor;
an analysis module 603 configured to analyze the sensor data to obtain a data change value;
an adjusting module 604, configured to adjust the initial sampling frequency to a target sampling frequency according to the data variation value.
In some embodiments of the present disclosure, as shown in fig. 7, fig. 7 is a schematic structural diagram of a sensor control device according to another embodiment of the present disclosure, and the sensor control device 60 further includes:
a sampling module 605, configured to perform sampling on the sensor based on a target sampling frequency after the initial sampling frequency is adjusted to the target sampling frequency according to the data change value.
In some embodiments of the present disclosure, the analysis module 603, comprises:
a first analyzing submodule 6031, configured to analyze, according to the sensor data, first sensor data in a first time range up to a current time point, where the first time range has a corresponding first starting time point;
a second analysis submodule 6032, configured to analyze, according to the sensor data, second sensor data in a second time range up to the current time point; a second start time point of the second time range is earlier than the first start time point;
a determination sub-module 6033 for determining a variation value of the second sensor data with respect to the first sensor data as the data variation value.
In some embodiments of the present disclosure, the first sensor data comprises: a first data peak, the second sensor data comprising: a second data peak, wherein determining sub-module 6033 is specifically configured to:
determining a change value of the second data peak value relative to the first data peak value as the data change value.
In some embodiments of the present disclosure, the first sensor data further comprises: a first peak rate of change indicating: a frequency of change of the first data peak within the first time range, the second sensor data comprising: a second peak rate of change indicating: a frequency of change in the second data peak over the second time range,
wherein, the determining submodule 6033 is specifically configured to:
determining a change value of the second peak change rate relative to the first peak change rate as the data change value.
In some embodiments of the present disclosure, the first sensor data comprises: a first data average, the second sensor data comprising: a second data average, wherein the determining sub-module 6033 is specifically configured to:
determining a variation value of the second data average relative to the first data average as the data variation value.
In some embodiments of the present disclosure, the adjusting module 604 is specifically configured to:
if the data change value is larger than a set threshold value, determining a first target sampling frequency according to the data change value, wherein the first target sampling frequency is larger than the initial sampling frequency;
adjusting the initial sampling frequency to the first target sampling frequency.
In some embodiments of the present disclosure, the adjusting module 604 is specifically configured to:
if the data change value is smaller than or equal to a set threshold value, determining a second target sampling frequency according to the data change value, wherein the second target sampling frequency is smaller than the initial sampling frequency;
adjusting the initial sampling frequency to the second target sampling frequency.
It should be noted that the foregoing explanation of the embodiment of the sensor control method is also applicable to the sensor control device of the embodiment, and is not repeated herein.
In this embodiment, the sampling of the sensor is started based on the initial sampling frequency, the sensor data collected by the sensor is acquired, the sensor data is analyzed to obtain a data change value, and the initial sampling frequency is adjusted to the target sampling frequency according to the data change value, so that the sampling frequency of the sensor can be adaptively adjusted, and the memory consumption of the sensor during use can be effectively reduced while the detection effect of the sensor can be effectively guaranteed.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
The electronic device includes:
a memory 801, a processor 802, and a computer program stored on the memory 801 and executable on the processor 802.
The processor 802, when executing a program, implements the sensor control method provided in the above-described embodiments.
In one possible implementation, the electronic device further includes:
a communication interface 803 for communicating between the memory 801 and the processor 802.
A memory 801 for storing computer programs operable on the processor 802.
The memory 801 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
And a processor 802 for implementing the sensor control method of the above embodiment when executing a program.
If the memory 801, the processor 802 and the communication interface 803 are implemented independently, the communication interface 803, the memory 801 and the processor 802 may be connected to each other via a bus and communicate with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 8, but this is not intended to represent only one bus or type of bus.
Optionally, in a specific implementation, if the memory 801, the processor 802, and the communication interface 803 are integrated on one chip, the memory 801, the processor 802, and the communication interface 803 may complete communication with each other through an internal interface.
The processor 802 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present disclosure.
The present embodiment also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the sensor control method as above.
It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.
Claims (18)
1. A sensor control method, characterized in that the method comprises:
based on the initial sampling frequency, starting sampling of the sensor;
acquiring sensor data acquired by the sensor;
analyzing the sensor data to obtain a data change value;
and adjusting the initial sampling frequency to a target sampling frequency according to the data change value.
2. The method of claim 1, wherein after said adjusting the initial sampling frequency to a target sampling frequency based on the data change value, further comprising:
based on the target sampling frequency, sampling of the sensor is performed.
3. The method of claim 1 or 2, wherein the analyzing the sensor data to obtain a data change value comprises:
according to the sensor data, analyzing to obtain first sensor data in a first time range from a current time point, wherein the first time range has a corresponding first starting time point;
according to the sensor data, second sensor data in a second time range from the current time point is obtained through analysis; a second start time point of the second time range is earlier than the first start time point;
determining a change value of the second sensor data with respect to the first sensor data as the data change value.
4. The method of claim 3, wherein the first sensor data comprises: a first data peak, the second sensor data comprising: a second data peak value, wherein the determining a change value of the second sensor data relative to the first sensor data as the data change value comprises:
determining a change value of the second data peak value relative to the first data peak value as the data change value.
5. The method of claim 4, wherein the first sensor data further comprises: a first peak rate of change indicating: a frequency of change of the first data peak within the first time range, the second sensor data comprising: a second peak rate of change indicating: a frequency of change in the second data peak over the second time range,
wherein the determining a change value of the second sensor data with respect to the first sensor data as the data change value includes:
determining a change value of the second peak change rate relative to the first peak change rate as the data change value.
6. The method of claim 3, wherein the first sensor data comprises: a first data average, the second sensor data comprising: a second data average value, wherein the determining a change value of the second sensor data with respect to the first sensor data as the data change value includes:
determining a variation value of the second data average relative to the first data average as the data variation value.
7. The method of claim 3, wherein said adjusting the initial sampling frequency to a target sampling frequency based on the data change value comprises:
if the data change value is larger than a set threshold value, determining a first target sampling frequency according to the data change value, wherein the first target sampling frequency is larger than the initial sampling frequency;
adjusting the initial sampling frequency to the first target sampling frequency.
8. The method of claim 3, wherein said adjusting the initial sampling frequency to a target sampling frequency based on the data change value comprises:
if the data change value is smaller than or equal to a set threshold value, determining a second target sampling frequency according to the data change value, wherein the second target sampling frequency is smaller than the initial sampling frequency;
adjusting the initial sampling frequency to the second target sampling frequency.
9. A sensor control apparatus, characterized in that the apparatus comprises:
the starting module is used for starting sampling of the sensor based on the initial sampling frequency;
the acquisition module is used for acquiring sensor data acquired by the sensor;
the analysis module is used for analyzing the sensor data to obtain a data change value;
and the adjusting module is used for adjusting the initial sampling frequency to a target sampling frequency according to the data change value.
10. The apparatus of claim 9, further comprising:
and the sampling module is used for executing sampling of the sensor based on the target sampling frequency after the initial sampling frequency is adjusted to the target sampling frequency according to the data change value.
11. The apparatus of claim 9 or 10, wherein the analysis module comprises:
the first analysis submodule is used for analyzing and obtaining first sensor data in a first time range from a current time point according to the sensor data, and the first time range has a corresponding first starting time point;
the second analysis submodule is used for analyzing and obtaining second sensor data in a second time range from the current time point according to the sensor data; a second start time point of the second time range is earlier than the first start time point;
a determination submodule configured to determine a change value of the second sensor data with respect to the first sensor data as the data change value.
12. The apparatus of claim 11, wherein the first sensor data comprises: a first data peak, the second sensor data comprising: a second data peak, wherein the determining submodule is specifically configured to:
determining a change value of the second data peak value relative to the first data peak value as the data change value.
13. The apparatus of claim 12, wherein the first sensor data further comprises: a first peak rate of change indicating: a frequency of change of the first data peak within the first time range, the second sensor data comprising: a second peak rate of change indicating: a frequency of change in the second data peak over the second time range,
wherein the determining submodule is specifically configured to:
determining a change value of the second peak change rate relative to the first peak change rate as the data change value.
14. The apparatus of claim 11, wherein the first sensor data comprises: a first data average, the second sensor data comprising: a second data average, wherein the determining submodule is specifically configured to:
determining a variation value of the second data average relative to the first data average as the data variation value.
15. The apparatus of claim 11, wherein the adjustment module is specifically configured to:
if the data change value is larger than a set threshold value, determining a first target sampling frequency according to the data change value, wherein the first target sampling frequency is larger than the initial sampling frequency;
adjusting the initial sampling frequency to the first target sampling frequency.
16. The apparatus of claim 11, wherein the adjustment module is specifically configured to:
if the data change value is smaller than or equal to a set threshold value, determining a second target sampling frequency according to the data change value, wherein the second target sampling frequency is smaller than the initial sampling frequency;
adjusting the initial sampling frequency to the second target sampling frequency.
17. An electronic device, comprising:
memory, processor and computer program stored on the memory and executable on the processor, which when executed by the processor implements a sensor control method according to any one of claims 1 to 8.
18. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out a sensor control method according to any one of claims 1 to 8.
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