CN118068041A - Acceleration detection method and device, electronic equipment and readable storage medium - Google Patents
Acceleration detection method and device, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN118068041A CN118068041A CN202410261298.5A CN202410261298A CN118068041A CN 118068041 A CN118068041 A CN 118068041A CN 202410261298 A CN202410261298 A CN 202410261298A CN 118068041 A CN118068041 A CN 118068041A
- Authority
- CN
- China
- Prior art keywords
- acceleration
- sensor
- sensor array
- error corresponding
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000001133 acceleration Effects 0.000 title claims abstract description 183
- 238000001514 detection method Methods 0.000 title claims abstract description 52
- 238000005259 measurement Methods 0.000 claims abstract description 65
- 238000000034 method Methods 0.000 claims abstract description 26
- 230000003068 static effect Effects 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 17
- 238000004364 calculation method Methods 0.000 claims description 14
- 230000015654 memory Effects 0.000 claims description 14
- 238000012360 testing method Methods 0.000 abstract description 7
- 238000003491 array Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000012795 verification Methods 0.000 description 4
- 238000012937 correction Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000007499 fusion processing Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The disclosure provides an acceleration detection method and device, electronic equipment and a readable storage medium, and belongs to the field, wherein the method comprises the following steps: calculating a zero drift error corresponding to each sensor based on a plurality of first acceleration measurements for each sensor in the sensor array; determining a single noise error corresponding to the sensor array based on the second acceleration measurements of the sensor array; determining a noise error corresponding to the sensor array according to the plurality of single noise errors; correcting the third acceleration measured value based on the zero drift error corresponding to each sensor and the noise error corresponding to the sensor array to obtain an acceleration value of the tested equipment; the first acceleration measurement and the second acceleration measurement are acceleration measurements of the sensor array when the device under test is stationary. Acceleration detection method and device, electronic equipment and readable storage medium are provided. So as to improve the detection precision of the consumer-grade acceleration sensor.
Description
Technical Field
The present disclosure relates to the field of acceleration detection technologies, and in particular, to an acceleration detection method and apparatus, an electronic device, and a readable storage medium.
Background
During the running process of the track recreation facility, the acceleration of the track recreation facility is directly related to the safety of tourists. Through acceleration detection, whether the amusement facility meets relevant safety standards can be evaluated, so that the safety of tourists is ensured, and therefore, the on-line monitoring of the track amusement facility is particularly important. The existing precision level acceleration sensor is poor in data portability, and the consumer level acceleration sensor is large in data error due to zero drift and noise. The method brings bad use experience to the field detection work of the facility detection personnel.
Disclosure of Invention
The disclosure aims to provide an acceleration detection method and device, electronic equipment and a readable storage medium, so as to improve the detection precision of a consumer-level acceleration sensor.
In a first aspect of an embodiment of the present disclosure, there is provided an acceleration detection method, including:
Calculating a zero drift error corresponding to each sensor based on a plurality of first acceleration measurements for each sensor in the sensor array;
Determining a single noise error corresponding to the sensor array based on a second acceleration measurement of the sensor array;
determining a noise error corresponding to the sensor array according to the plurality of single noise errors;
Correcting the third acceleration measured value based on the zero drift error corresponding to each sensor and the noise error corresponding to the sensor array to obtain an acceleration value of the tested equipment;
The first acceleration measured value and the second acceleration measured value are both acceleration measured values of the sensor array when the tested device is static, and the third acceleration measured value is an acceleration measured value of each sensor when the tested device is running.
In a second aspect of the embodiments of the present disclosure, there is provided an acceleration detection apparatus including:
Zero drift error calculation module: for calculating a zero drift error for each sensor based on a plurality of first acceleration measurements for each sensor in the sensor array;
a single noise error calculation module: determining a single noise error corresponding to the sensor array based on a second acceleration measurement of the sensor array;
an array noise error calculation module: the noise error detection module is used for determining noise errors corresponding to the sensor array according to the single noise errors;
Acceleration calculation module: the method comprises the steps of correcting a third acceleration measured value based on a zero drift error corresponding to each sensor and a noise error corresponding to the sensor array to obtain an acceleration value of tested equipment;
The first acceleration measured value and the second acceleration measured value are both acceleration measured values of the sensor array when the tested device is static, and the third acceleration measured value is an acceleration measured value of each sensor when the tested device is running.
In a third aspect of the disclosed embodiments, there is provided an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the acceleration detection method described above when executing the computer program.
In a fourth aspect of the disclosed embodiments, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the acceleration detection method described above.
The acceleration detection method and device, the electronic equipment and the readable storage medium provided by the embodiment of the disclosure have the beneficial effects that: the sensor array is formed by a plurality of sensors, so that the portability of sensor data acquisition is improved; aiming at the problem that the consumer-level sensor has larger data error due to zero drift and noise, the invention adopts a mode of a plurality of sensor arrays to average the measured values of a single sensor for reducing the zero drift error, and samples a plurality of sensors for reducing the noise error. Then, data fusion processing is carried out on the measured values of the sensor array in the running process of the track amusement facility, the accuracy of detection data is improved, convenience is brought to the on-site detection work of the amusement facility detection personnel, and meanwhile, the safety assessment of the amusement facility is more accurate, so that the safety of tourists is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required for the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a flow chart of an acceleration detection method according to an embodiment of the disclosure;
FIG. 2 is a complete flow chart of acceleration detection provided by an embodiment of the present disclosure;
FIG. 3 is a block diagram of an acceleration detection device according to an embodiment of the present disclosure;
FIG. 4 is a schematic communication diagram of an acceleration sensor according to an embodiment of the disclosure;
Fig. 5 is a schematic block diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings.
Referring to fig. 1, fig. 1 is a flowchart of an acceleration detection method according to an embodiment of the disclosure, where the method includes:
S101: a null-shift error corresponding to each sensor is calculated based on a plurality of first acceleration measurements for each sensor in the sensor array.
The acceleration detection method provided in this embodiment may be used to detect acceleration of a track play apparatus during running, and before detecting the track play apparatus, a sensor array needs to be mounted on the track play apparatus to be detected, where the sensor array is composed of a plurality of acceleration sensors, and the first acceleration measurement value is an acceleration measurement value of the sensor array when the track play apparatus to be detected is stationary. And acquiring the value of each acceleration sensor in the sensor array under the static state of the track recreation facility to obtain the zero drift error corresponding to each sensor.
Since each acceleration sensor has zero drift and noise influence, the acceleration sensor functions to convert a physical quantity into an electrical signal. In practical applications, the output signal of the acceleration sensor is not exactly equal to the measured signal value, due to temperature variations, fluctuations in the supply voltage, or aging of the signal transmission. The zero drift of the acceleration sensor means that the output value of the acceleration sensor changes along with the change of time in a static state, and the change result of each acceleration sensor is different. I.e. the output value of the sensor is not actually stabilized by the measured value. Therefore, the acceleration sensor needs to be corrected before it works, i.e. the sensor zero drift is corrected in case the track play is stationary.
And when the track recreation facility is stationary, acquiring the measured value of each acceleration sensor in the sensor array for multiple times to obtain the zero drift error corresponding to each sensor. In this embodiment, when the measured values of the acceleration sensors are collected, the measurement is run for 10s at a frequency of 50Hz (the number of times of collecting data is 500), and 16 acceleration sensors are adopted to form a sensor array, so that the collection value of each acceleration sensor in the sensor array in a static state is recorded. In order to reduce the measurement of noise on the zero drift error, the embodiment adopts a multiple number measurement method, averages the measured values of the single acceleration sensor 500 to obtain the zero drift error, and the calculation formula of the zero drift error of each acceleration sensor is as follows:
wherein, For the kth first acceleration measurement of the ith sensor,/>Is the zero drift error corresponding to the ith sensor.
S102: a single noise error corresponding to the sensor array is determined based on the second acceleration measurements of the sensor array.
Due to the presence of noise, the value of the sensor output signal fluctuates, resulting in a decrease in measurement accuracy. Particularly in high accuracy and high sensitivity measurements, noise can more significantly affect the performance of the sensor. It is therefore particularly important to remove the effects of noise when detecting the acceleration of a track play. Noise errors are theoretically randomly generated and cannot be eliminated, and the influence can be avoided to the greatest extent possible. In this embodiment, a method of averaging the measured values of a plurality of acceleration sensors at a time is used to reduce the noise value.
In this embodiment, the second acceleration measurement is also the acceleration measurement of the sensor array when the measured track play is stationary. The second acceleration measurement value is an average value of a plurality of acceleration sensors in one acceleration measurement value acquisition of the sensor array under the static state of the measured track amusement facility. Taking a sensor array formed by 16 acceleration sensors as an example, determining a single noise error corresponding to the sensor array through a second formula; the second formula is as follows:
wherein, For the j-th single noise error,/>Is the second acceleration measurement of the ith sensor.
S103: and determining the noise error corresponding to the sensor array according to the plurality of single noise errors.
Because the noise errors are randomly generated, different detection results can be obtained when error calculation is performed on the measured values acquired by the sensor arrays each time, and in order to more reasonably analyze the influence of the noise errors on the acceleration detection of the track amusement facility, in the embodiment, the measured values of the sensor arrays are acquired for multiple times, the noise errors corresponding to the sensor arrays each time are calculated respectively, and then a range is obtained.
In this embodiment, the acceleration sensor is operated at a frequency of 50Hz for 10s (the number of times of data collection is 500), and an average value interval of noise is obtained after the average value of the noise of the sensor array is collected 500 times, where the interval is:
wherein, The number of times of acquisition of single noise error is/>, in this embodiment，/>Maximum value of single noise average value corresponding to sensor array,/>Is the minimum value of the single noise average value corresponding to the sensor array,/>At maximum value/>And the minimum value is/>A corresponding interval.
S104: and correcting the third acceleration measured value based on the zero drift error corresponding to each sensor and the noise error corresponding to the sensor array to obtain the acceleration value of the tested equipment. The third acceleration measurement is an acceleration measurement of each sensor while the device under test is in operation.
After the zero drift error and the noise error of the sensor array when the track recreation facility is stationary are calculated, the track recreation facility is started, and the real acceleration of the track recreation facility during running is detected. The sensor array in this embodiment is formed by 16 acceleration sensors, and each acceleration sensor has zero drift and noise influence, so the measured acceleration value of the measured track amusement facility in the measuring process can be expressed as:
(i=1、2…16)
Wherein the method comprises the steps of Measuring values for the individual acceleration sensors,/>Is true acceleration value,/>Is zero drift error,/>Is a random noise error.
Therefore, to obtain the actual acceleration values of the respective acceleration sensors, the zero drift error and the noise error need to be subtracted from the measured values of the respective acceleration sensors.
In this embodiment, after the track recreation facility operates, the measured values of the sensor arrays are collected, and the measured values of the sensor arrays in the track recreation facility operation process are subjected to data fusion processing through the zero drift error corresponding to each acceleration sensor in the sensor arrays and the noise error corresponding to the sensor arrays, so that the acceleration values of the tested equipment are obtained, and the formula for obtaining the acceleration values of the tested equipment is as follows:
wherein, =16，/>For the ith sensor third acceleration measurement,/>For the zero drift error corresponding to the ith sensor,/>At maximum value/>And the minimum value is/>Corresponding section,/>=500，/>For the kth first acceleration measurement of the ith sensor,/>For the maximum value of the single noise error corresponding to the sensor array,/>Is the minimum value of the single noise error corresponding to the sensor array.
Since the noise error corresponds to one section, the acceleration value of the device under test is finally obtained as one section.
It can be obtained from the above that, in this embodiment, the sensor array is formed by a plurality of sensors, so that portability of sensor data acquisition is improved; aiming at the problem that the consumer-level sensor has larger data error due to zero drift and noise, the embodiment adopts a mode of a plurality of sensor arrays, averages the measured values of a single sensor for a plurality of times to reduce the zero drift error, and samples a plurality of sensors for a single time to average to reduce the noise error. Then, data fusion processing is carried out on the measured values of the sensor array in the running process of the track amusement facility, the accuracy of detection data is improved, convenience is brought to the on-site detection work of the amusement facility detection personnel, and meanwhile, the safety assessment of the amusement facility is more accurate, so that the safety of tourists is ensured.
In one embodiment of the present disclosure, the acceleration detection further comprises: detecting whether the tested equipment is static; if the device under test is stationary, acceleration measurements of the sensor array are obtained.
In this embodiment, the zero drift error and the noise error caused by the detected amusement ride will be different according to the environment of the amusement ride, so that static correction is performed before each amusement ride detection, and the amusement ride in this embodiment is provided with a static button for controlling the amusement ride to run or stop, and when the static button is pressed, the amusement ride stops. The embodiment is used for detecting whether the static button of the track recreation facility is pressed, if the static button is pressed, the static correction step is carried out, otherwise, the static correction is not carried out.
In one embodiment of the present disclosure, the acceleration detection further comprises: removing the measured value exceeding the check value from the plurality of measured values; the measurement is a first acceleration measurement or a second acceleration measurement.
In this embodiment, the sensor array is formed by 16 consumer-level acceleration sensors, and an MPU6050 sensor may be used as the acceleration sensor, where a fault may occur in the use process of the individual acceleration sensor, so that the fault acceleration sensor will affect the detection accuracy of the acceleration value of the tested device, so that before detection, it is required to perform static verification on each acceleration sensor in the sensor array, the ideal measurement value of the MPU6050 sensor in the static state is about 1G, and during verification, it is checked whether the measurement value of each acceleration sensor is about 1G, and if it is about 1G, the sensor is normal; otherwise, the acceleration sensor is abnormal, and the acceleration sensor needs to be shielded, at this time, other acceleration sensors can work normally to ensure the stable operation of the whole sensor array, so as to improve the reliability of the consumer-level acceleration sensor.
Referring to fig. 2, fig. 2 is a flowchart of a complete acceleration detection according to the present embodiment.
Corresponding to the acceleration detection method of the above embodiment, fig. 3 is a block diagram of the structure of the acceleration detection device according to an embodiment of the disclosure. For ease of illustration, only portions relevant to embodiments of the present disclosure are shown. Referring to fig. 3, the acceleration detection device 20 includes:
zero drift error calculation module 21: for calculating a zero drift error for each sensor based on a plurality of first acceleration measurements for each sensor in the sensor array;
Single noise error calculation module 22: determining a single noise error corresponding to the sensor array based on the second acceleration measurements of the sensor array;
Array noise error calculation module 23: the noise error detection module is used for determining noise errors corresponding to the sensor array according to the single noise errors;
Acceleration calculation module 24: the method comprises the steps of correcting a third acceleration measured value based on zero drift errors corresponding to each sensor and noise errors corresponding to a sensor array to obtain an acceleration value of tested equipment;
The first acceleration measurement value and the second acceleration measurement value are acceleration measurement values of the sensor array when the tested device is at rest, and the third acceleration measurement value is an acceleration measurement value of each sensor when the tested device is in operation.
In one embodiment of the present disclosure, further comprising:
the stationary state detection module 25: for detecting whether the device under test is stationary;
If the device under test is stationary, acceleration measurements of the sensor array are obtained.
In one embodiment of the present disclosure, further comprising:
The verification module 26: for rejecting from the plurality of measurements a measurement that exceeds the verification value; the measurement is a first acceleration measurement or a second acceleration measurement.
In one embodiment of the present disclosure, a zero drift error corresponding to each sensor is determined by a first formula;
The first formula is:
wherein, For the kth first acceleration measurement of the ith sensor,/>For the zero drift error corresponding to the ith sensor,/>The number of the first acceleration measured values corresponding to the ith sensor.
In one embodiment of the present disclosure, a single noise error corresponding to the sensor array is determined by a second formula;
the second formula is:
wherein, For the j-th single noise error,/>For the number of sensors in the sensor array,/>Is the second acceleration measurement of the ith sensor.
In one embodiment of the present disclosure, the noise error corresponding to the sensor array is determined by a third formula;
The third formula is:
wherein, For the j-th single noise error,/>For the maximum value of the single noise error corresponding to the sensor array,/>Is the minimum value of single noise error corresponding to the sensor array,/>At maximum value/>And the minimum value is/>A corresponding interval.
In one embodiment of the disclosure, the third acceleration measurement value is corrected by a fourth formula to obtain an acceleration value of the device under test;
The fourth formula is:
wherein, For the number of sensors in the sensor array,/>For the ith sensor third acceleration measurement,/>For the zero drift error corresponding to the ith sensor,/>At maximum value/>And the minimum value is/>Interval of/>For the number of first acceleration measurement values corresponding to the ith sensor,/>For the kth first acceleration measurement of the ith sensor,/>For the maximum value of the single noise error corresponding to the sensor array,Is the minimum value of the single noise error corresponding to the sensor array.
In this embodiment, STM32F4 is used as a processor to complete the steps of the method, referring to fig. 4, fig. 4 is a diagram showing that data are collected from 16 identical acceleration sensors, and communication between STM32F4 and each acceleration sensor is implemented by using an IIC bus. When each MPU6050 reads the sensor data, only the data transmitted from the 16 SDA data lines need to be stored separately.
Referring to fig. 5, fig. 5 is a schematic block diagram of an electronic device according to an embodiment of the disclosure. The electronic device 300 in the present embodiment as shown in fig. 3 may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processor 301, the input device 302, the output device 303, and the memory 304 communicate with each other via a communication bus 305. The memory 304 is used to store a computer program comprising program instructions. The processor 301 is configured to execute program instructions stored in the memory 304. Wherein the processor 301 is configured to invoke program instructions to perform the functions of the modules in the various device embodiments described above, such as the functions of the modules 21-22 shown in fig. 2.
It should be appreciated that in the disclosed embodiments, the Processor 301 may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, DSPs), application SPECIFIC INTEGRATED Circuits (ASICs), off-the-shelf Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 302 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of a fingerprint), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.
The memory 304 may include read only memory and random access memory and provides instructions and data to the processor 301. A portion of memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store information of device type.
In a specific implementation, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present disclosure may perform the implementation described in the first embodiment and the second embodiment of the acceleration detection method provided in the embodiments of the present disclosure, and may also perform the implementation of the electronic device described in the embodiments of the present disclosure, which is not described herein again.
In another embodiment of the disclosure, a computer readable storage medium is provided, where the computer readable storage medium stores a computer program, where the computer program includes program instructions, where the program instructions, when executed by a processor, implement all or part of the procedures in the method embodiments described above, or may be implemented by instructing related hardware by the computer program, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by the processor, implements the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The computer readable storage medium may be an internal storage unit of the electronic device of any of the foregoing embodiments, such as a hard disk or a memory of the electronic device. The computer readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk provided on the electronic device, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like. Further, the computer-readable storage medium may also include both internal storage units and external storage devices of the electronic device. The computer-readable storage medium is used to store a computer program and other programs and data required for the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the electronic device and unit described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed electronic device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via some interfaces or units, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purposes of the embodiments of the present disclosure.
In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a specific embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto, and any equivalent modifications or substitutions will be apparent to those skilled in the art within the scope of the present disclosure, and these modifications or substitutions should be covered in the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (10)
1. An acceleration detection method, comprising:
Calculating a zero drift error corresponding to each sensor based on a plurality of first acceleration measurements for each sensor in the sensor array;
Determining a single noise error corresponding to the sensor array based on a second acceleration measurement of the sensor array;
determining a noise error corresponding to the sensor array according to the plurality of single noise errors;
Correcting the third acceleration measured value based on the zero drift error corresponding to each sensor and the noise error corresponding to the sensor array to obtain an acceleration value of the tested equipment;
The first acceleration measured value and the second acceleration measured value are both acceleration measured values of the sensor array when the tested device is static, and the third acceleration measured value is an acceleration measured value of each sensor when the tested device is running.
2. The acceleration detection method of claim 1, further comprising:
detecting whether the tested equipment is static;
And if the tested equipment is static, acquiring acceleration measurement values of the sensor array.
3. The acceleration detection method of claim 2, further comprising:
Removing the measured value exceeding the check value from the plurality of measured values; the measurement is either the first acceleration measurement or the second acceleration measurement.
4. The acceleration detection method according to claim 1, characterized in,
Determining a zero drift error corresponding to each sensor through a first formula;
The first formula is:
wherein, For the kth first acceleration measurement of the ith sensor,/>For the zero drift error corresponding to the ith sensor,/>The number of the first acceleration measured values corresponding to the ith sensor.
5. The acceleration detection method according to claim 1, characterized in,
Determining a single noise error corresponding to the sensor array through a second formula;
The second formula is:
wherein, For the j-th single noise error,/>For the number of sensors in the sensor array,/>Is the second acceleration measurement of the ith sensor.
6. The acceleration detection method according to claim 1, characterized in,
Determining a noise error corresponding to the sensor array through a third formula;
The third formula is:
wherein, For the j-th single noise error,/>For the maximum value of the single noise error corresponding to the sensor array,/>Is the minimum value of single noise error corresponding to the sensor array,/>At maximum value ofAnd the minimum value is/>A corresponding interval.
7. The acceleration detection method according to claim 1, characterized in,
Correcting the third acceleration measured value through a fourth formula to obtain an acceleration value of the tested equipment;
the fourth formula is:
wherein, For the number of sensors in the sensor array,/>For the ith sensor third acceleration measurement,/>For the zero drift error corresponding to the ith sensor,/>At maximum value/>And the minimum value is/>Interval of/>For the number of first acceleration measurement values corresponding to the ith sensor,/>For the kth first acceleration measurement of the ith sensor,/>For the maximum value of the single noise error corresponding to the sensor array,/>Is the minimum value of the single noise error corresponding to the sensor array.
8. An acceleration detection device, comprising:
Zero drift error calculation module: for calculating a zero drift error for each sensor based on a plurality of first acceleration measurements for each sensor in the sensor array;
a single noise error calculation module: determining a single noise error corresponding to the sensor array based on a second acceleration measurement of the sensor array;
an array noise error calculation module: the noise error detection module is used for determining noise errors corresponding to the sensor array according to the single noise errors;
Acceleration calculation module: the method comprises the steps of correcting a third acceleration measured value based on a zero drift error corresponding to each sensor and a noise error corresponding to the sensor array to obtain an acceleration value of tested equipment;
The first acceleration measured value and the second acceleration measured value are both acceleration measured values of the sensor array when the tested device is static, and the third acceleration measured value is an acceleration measured value of each sensor when the tested device is running.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410261298.5A CN118068041A (en) | 2024-03-07 | 2024-03-07 | Acceleration detection method and device, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410261298.5A CN118068041A (en) | 2024-03-07 | 2024-03-07 | Acceleration detection method and device, electronic equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118068041A true CN118068041A (en) | 2024-05-24 |
Family
ID=91110713
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410261298.5A Pending CN118068041A (en) | 2024-03-07 | 2024-03-07 | Acceleration detection method and device, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118068041A (en) |
-
2024
- 2024-03-07 CN CN202410261298.5A patent/CN118068041A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114047472B (en) | Metering error monitoring system of intelligent ammeter and monitoring method and device thereof | |
| CN111256802A (en) | Calibration method of weighing device and weighing device | |
| CN110365555B (en) | Audio delay testing method and device, electronic equipment and readable storage medium | |
| CN116660781B (en) | Outdoor high-power bidirectional quick-charging mobile power supply testing system | |
| CN118068041A (en) | Acceleration detection method and device, electronic equipment and readable storage medium | |
| CN112067165A (en) | Temperature sensor precision testing system, testing method, testing device and storage medium | |
| CN109870404B (en) | Rain shed structure damage identification method and device and terminal equipment | |
| CN111476206A (en) | Universal analog quantity processing method and system | |
| CN110220545B (en) | Primary equipment instrument signal checking method and device and terminal equipment | |
| CN110765005A (en) | Software reliability evaluation method and device | |
| CN106370779A (en) | Measurement deviation bridging method based on near disturbance source and environmental change | |
| CN112834752B (en) | Blood glucose standardized measurement system, method, terminal and medium suitable for large-scale crowd | |
| CN212391150U (en) | Temperature sensor precision test system | |
| CN112903211A (en) | Equipment and method for detecting tightness of gas pipeline | |
| CN113608953A (en) | Test data generation method and device, electronic equipment and readable storage medium | |
| CN111553054B (en) | Method, device, equipment and storage medium for determining nuclear material information | |
| CN116092281B (en) | Calibration method, device, equipment and storage medium of bidirectional smoke detector | |
| CN112097950B (en) | Temperature measuring method and device based on photothermal reflection and terminal equipment | |
| CN117639930B (en) | Method and device for testing optical fiber transceiver based on standard modularized assembly call, electronic equipment and computer readable storage medium | |
| KR102534971B1 (en) | System and method for testing flow computer | |
| CN111811561B (en) | Method for measuring background noise of optical fiber sensor demodulation device | |
| CN117607373B (en) | Method, system, equipment and medium for calibrating greenhouse gas monitoring data | |
| CN112366148B (en) | Substrate concentration determination method, substrate concentration determination device, computer equipment and readable storage medium | |
| CN114239364B (en) | Cable-stayed bridge damage identification method and device based on improved wavelet packet energy curvature | |
| CN116500207B (en) | Concentration measuring method and system for anesthetic gas |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |