CN114429713A - Method, device and storage medium for identifying sudden speed change motion state of traffic equipment - Google Patents
Method, device and storage medium for identifying sudden speed change motion state of traffic equipment Download PDFInfo
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Abstract
The application provides a method, a device and a storage medium for identifying a sudden speed change motion state of traffic equipment, wherein the method comprises the following steps: when the traffic equipment is in a static state, acquiring one or more groups of acceleration data of the traffic equipment in the static state; calculating a first modulus value according to one or more groups of acceleration data of the traffic equipment in a static state; when the traffic equipment is in a motion state, acquiring one or more groups of acceleration data of the traffic equipment in the motion state; calculating a second modulus value according to one or more groups of acceleration data of the traffic equipment in the motion state; determining a difference value between the first modulus value and the second modulus value according to the first modulus value and the second modulus value; when the difference value is larger than or equal to a preset threshold value, the traffic equipment is in a state of rapid speed change motion; and when the difference value is smaller than the preset threshold value, the traffic equipment is not in the state of the quick speed change motion. The method can judge whether the traffic equipment is in a rapid speed change motion state in real time, and solves the problems of time delay and hysteresis of the judgment result.
Description
Technical Field
The present application relates to the field of traffic equipment detection, and more particularly, to a method, an apparatus, and a storage medium for identifying a state of an abrupt change motion of a traffic equipment in the field of traffic equipment detection.
Background
The rapid development of science and technology greatly improves the living standard of people, the prior travel mode of people mainly depends on walking, and the daily travel of people at present mainly depends on various transportation devices. In the process that a user drives the traffic equipment, if pedestrians pass by the traffic equipment from the front, the user needs to brake immediately to avoid dangerous accidents, and the user can continue to drive after waiting for the pedestrians to pass smoothly.
During sudden braking of the traffic equipment, rapid speed changes may occur, which is called a "sudden speed change of the traffic equipment" process, and the sudden speed change process of the traffic equipment may cause physical and psychological discomfort to passengers on the vehicle. In order to provide a good riding experience for carrying, ensure the personal safety of passengers and avoid traffic accidents, whether the traffic equipment is in a rapid speed change motion state needs to be judged in time.
In the process of judging whether the traffic equipment is in the state of rapid speed change motion, multiple groups of acceleration data of the traffic equipment in the motion state can be collected through the acceleration sensor, the resultant acceleration of each group of acceleration data in the multiple groups of acceleration data is obtained through calculation, a resultant acceleration-time relation curve is obtained through drawing according to the resultant acceleration corresponding to the multiple groups of acceleration data and multiple times, and whether wave peaks appear on the curve is judged to judge whether the traffic equipment is in the state of rapid speed change motion.
In the above scheme, when the traffic equipment is judged to be in the state of rapid speed change motion, acceleration data at multiple moments are collected, and a resultant acceleration value-time curve at multiple moments is further obtained, so that delay can occur in the judgment process, and the judgment result does not have real-time performance.
Disclosure of Invention
The method can judge whether the traffic equipment is in the rapid speed change motion state in real time, and solves the problem that the traffic equipment is unsafe to run due to delay and lag of a judgment result.
In a first aspect, a method for identifying a state of rapid-change motion of a traffic device is provided, wherein the method comprises: when the traffic equipment is in a static state, acquiring one or more groups of acceleration data of the traffic equipment in the static state, wherein each group of acceleration data in the one or more groups of acceleration data comprises acceleration components of the traffic equipment in a plurality of different directions; calculating a first modulus value according to one or more groups of acceleration data of the traffic equipment in the static state; when the traffic equipment is in a motion state, acquiring one or more groups of acceleration data of the traffic equipment in the motion state; calculating a second modulus value according to one or more groups of acceleration data of the traffic equipment in the motion state; determining a difference value between the first modulus value and the second modulus value according to the first modulus value and the second modulus value; when the difference value is larger than or equal to a preset threshold value, the traffic equipment is in the rapid speed change motion state; when the difference value is smaller than the preset threshold value, the traffic equipment is not in the rapid speed change motion state.
In the scheme, a method for obtaining a mode difference under two states according to a mode of acceleration data of the traffic equipment in a static state and a mode of acceleration data of the traffic equipment in a motion state and identifying a sudden speed change motion state of the traffic equipment through the mode difference is provided.
With reference to the first aspect, in some possible implementations, calculating a first modulus value from one or more sets of acceleration data of the transportation device in the stationary state includes: determining the average value of the acceleration components of the one or more groups of acceleration data of the traffic equipment in the static state in the plurality of different directions according to the one or more groups of acceleration data of the traffic equipment in the static state; and calculating the first module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the static state.
With reference to the first aspect and the foregoing implementation manners, in some possible implementation manners, calculating a second modulus value according to one or more sets of acceleration values of the transportation device in the motion state includes: determining an average value of acceleration components of one or more groups of acceleration data of the traffic equipment in the motion state in the plurality of different directions according to one or more groups of acceleration data of the traffic equipment in the motion state; and calculating the second module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the motion state.
With reference to the first aspect and the foregoing implementation manners, in some possible implementation manners, each set of acceleration data is acquired by any one or more acceleration sensors of the following: triaxial acceleration sensor, six-axis acceleration sensor, triaxial gyroscope sensor.
To sum up, in the embodiment of the present application, a stationary state of a transportation device is taken as a reference, one or more sets of acceleration data of the transportation device in the stationary state are collected, an average value of the one or more sets of acceleration data of the transportation device in the stationary state is obtained, a module value of the transportation device in the stationary state is further calculated, when the transportation device is in a moving state, the module value of the transportation device in the moving state is obtained through the same calculation steps, the module values in two different states are subtracted, and whether the transportation device is in a rapid speed change moving state is determined according to comparison between the obtained difference value and a threshold value.
In a second aspect, an apparatus for identifying a state of rapid change motion of a transportation device is provided, the apparatus comprising: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring one or more groups of acceleration data of the traffic device in a static state when the traffic device is in the static state, and each group of acceleration data in the one or more groups of acceleration data comprises acceleration components of the traffic device in a plurality of different directions; the first processing module is used for calculating a first module value according to one or more groups of acceleration data of the traffic equipment in the static state; the second acquisition module is used for acquiring one or more groups of acceleration data of the traffic equipment in a motion state when the traffic equipment is in the motion state; the second processing module is used for calculating a second module value according to one or more groups of acceleration data of the traffic equipment in the motion state; a third processing module, configured to determine a difference between the first modulus and the second modulus according to the first modulus and the second modulus; the judging module is used for enabling the traffic equipment to be in the rapid speed change motion state when the difference value is larger than or equal to a preset threshold value; when the difference value is smaller than the preset threshold value, the traffic equipment is not in the rapid speed change motion state.
With reference to the second aspect, in some possible implementations, the first processing module is specifically configured to determine, according to one or more sets of acceleration data of the transportation device in the stationary state, an average value of acceleration components of the one or more sets of acceleration data of the transportation device in the stationary state in the plurality of different directions; and calculating the first module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the static state.
With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, the second processing module is specifically configured to determine, according to one or more sets of acceleration data of the transportation device in the motion state, an average value of acceleration components of the one or more sets of acceleration data of the transportation device in the multiple different directions in the motion state; and calculating the second module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the motion state.
With reference to the second aspect and the foregoing implementation manner, in some possible implementation manners, each set of acceleration data is acquired by any one or more of the following acceleration sensors: a three-axis acceleration sensor, a six-axis acceleration sensor and a three-axis gyroscope sensor.
In a third aspect, an apparatus is provided that includes a memory and a processor. The memory is used for storing a computer program, and the processor is used for calling and running the computer program from the memory, so that the apparatus executes the method in the first aspect or any one of the possible implementation manners of the first aspect.
In a fourth aspect, there is provided a computer program product comprising: computer program code for causing a computer to perform the method of the first aspect or any one of the possible implementations of the first aspect when the computer program code runs on the computer.
In a fifth aspect, a computer-readable medium is provided, which stores program code, which, when run on a computer, causes the computer to perform the method of the first aspect or any one of the possible implementations of the first aspect.
Drawings
FIG. 1 is a schematic view of a traffic device in a scene of rapid movement;
FIG. 2 is a schematic flow chart diagram of a method for identifying a state of an abrupt change in motion of a piece of transportation equipment according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for identifying a state of an abrupt change motion of a transportation device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present disclosure.
Detailed Description
The technical solution of the present application will be described in detail and clearly with reference to the accompanying drawings. In the description of the embodiments of the present application, a "/" indicates an inclusive meaning unless otherwise specified, for example, a/B may indicate a or B: "and/or" in the text is only an association relationship describing an associated object, and means that three relationships may exist, for example, a and/or B may mean: three cases of a alone, a and B in combination, and B alone exist, and in addition, in the description of the embodiments of the present application, "a plurality" means two or more unless otherwise specified. "
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, such as "first module value" or "second module value" described in the embodiments of the present application, which are used to indicate different values calculated from one or more sets of acceleration data of the transportation device in a stationary state or a moving state.
Fig. 1 is a scene schematic diagram of a traffic device in a rapid speed change motion.
For example, as shown in fig. 1, during the normal driving of the traffic device 101 on the road according to the traffic rules, a pedestrian 103 passing through a pedestrian crossing 102 in front of the road suddenly appears, at this time, in order to ensure the personal safety of the pedestrian 103, the traffic device 101 needs to be braked urgently to avoid a dangerous accident, and the normal driving can be continued after the pedestrian 103 safely passes through the pedestrian crossing 102.
During sudden braking of the transportation device 101, a rapid speed change may occur, which is called a "sudden speed change of the transportation device" process, and the sudden speed change process of the transportation device may cause psychological and physical discomfort to passengers. In order to enable passengers to have a good riding experience and avoid dangerous traffic accidents, whether rapid speed change motion occurs in the traffic equipment or not or whether the traffic equipment is in a rapid speed change motion state or not needs to be judged timely and effectively.
In the process of judging whether the traffic equipment is in the state of rapid speed change motion, the acceleration sensor 104 can be used for completing the judgment, and taking a three-axis acceleration sensor as an example, the acceleration data of the traffic equipment in multiple directions can be acquired through the three-axis acceleration sensor. For example, a "transportation coordinate system" may be established with reference to transportation equipment, and may be denoted as (x)n,yn,zn) Acceleration data under a coordinate system of the traffic equipment can be obtained, a coordinate system of a three-axis acceleration sensor can be established by taking the three-axis acceleration sensor as a reference, and acceleration values of the traffic equipment in three coordinate axes of the three-axis acceleration sensor can be obtained by collection and are recorded as (x)b,yb,zb). When acquiring acceleration data of the transportation equipment in multiple directions, specifically, three coordinate axes x in a transportation equipment coordinate system can be obtained through rotation matrix transformation calculationn、yn、znRespectively with threeThree coordinate axes x of axial acceleration sensorb、yb、zbThe corresponding relation of (a) can further be used for acquiring the three-axis acceleration data (x) acquired by the three-axis acceleration sensorb,yb,zb) Conversion to the coordinate System (x) of the transportation devicen,yn,zn) Obtaining acceleration data under a transportation equipment coordinate system, and then carrying out acceleration data on x under the transportation equipment coordinate systemnAcceleration component on axis and ynSynthesizing the acceleration components on the axis to obtain the acceleration data of each group of the transportation equipment in the coordinate system of xnAxial direction and ynAnd obtaining a combined acceleration-time corresponding curve according to the corresponding relation between the multi-group combined acceleration data and the acquisition time by the combined acceleration data in the axial direction, and judging whether the traffic equipment is in a rapid speed change motion state by judging whether a wave crest appears on the curve.
In the above process, when determining whether the transportation device is in the state of rapid speed change motion, it is usually necessary to acquire a large amount of acceleration data of the transportation device in the state of motion, further obtain a plurality of resultant acceleration data according to the projected acceleration data, draw a resultant acceleration-time curve, determine whether there is a wave peak on the resultant acceleration-time curve, and further determine whether the transportation device is in the state of rapid speed change motion. When the judgment result of whether the traffic equipment has the sudden speed change movement is obtained by the method, the sudden speed change movement of the traffic equipment is probably finished, so that the judgment result is delayed and lagged, and a series of problems of traffic safety and the like are caused.
In view of the above problems, the embodiment of the present application provides a method for identifying a rapid-change motion state of a transportation device, where the method can determine whether the motion state is a rapid-change motion state when the transportation device starts to be in a motion state, so as to ensure real-time performance of a determination result, avoid a situation that a determination result is delayed and lagged, ensure accuracy of the determination result, and provide an important guarantee for safe driving of the transportation device and personal safety of passengers on the transportation device.
Fig. 2 is a schematic flow chart of a method for identifying a state of an abrupt change motion of a traffic device according to an embodiment of the present application.
Illustratively, as shown in fig. 2, the method 200 includes:
when the traffic equipment is in a static state, one or more sets of acceleration data of the traffic equipment in the static state are obtained, and each set of acceleration data in the one or more sets of acceleration data comprises acceleration components of the traffic equipment in a plurality of different directions.
Optionally, in the embodiment of the present application, when identifying whether the transportation device is in a state of rapid speed change motion, one or more sets of acceleration data of the transportation device in a stationary state need to be acquired first.
In this embodiment of the present application, one or more sets of acceleration data are acquired by an acceleration sensor, and optionally, the acceleration sensor includes any one or more of the following: the acceleration sensor comprises a three-axis acceleration sensor, a six-axis acceleration sensor and a three-axis gyroscope sensor, and the type and the number of the acceleration sensors are not particularly limited in the embodiment of the application.
The following describes a method for identifying a sudden speed change motion state of a traffic device in an embodiment of the present application in detail by taking a three-axis acceleration sensor as an example.
It should be understood that the sampling frequency of the three-axis acceleration sensor provided in the embodiment of the present application is 10Hz, that is, the sampling time interval is 0.1s, and the three-axis acceleration data collected every 0.1s can be regarded as a processing unit, which is denoted as (a, b, c), where a represents that the traffic equipment is located in the three-axis acceleration sensor xbThe acceleration component in the axial direction, and b represents the acceleration sensor y of the traffic equipment in three axesbThe acceleration component in the axial direction, c represents the acceleration sensor z of the traffic device in three axesbAcceleration component in the axial direction.
It should also be understood that the triaxial acceleration sensor collects triaxial acceleration data of a group of traffic devices in a static state every 0.1s, so that in 1s, the triaxial acceleration sensor can collect acceleration data of 10 groups of traffic devices in a static state, and one group of acceleration data can be regarded as a processing unit, so thatIn 1s, the acceleration data of 10 processing units of the traffic device in a stationary state, which is acquired by the three-axis acceleration sensor, can be respectively recorded as: (a)1,b1,c1)、(a2,b2,c2)、(a3,b3,c3)、(a4,b4,c4)、(a5,b5,c5)、(a6,b6,c6)、(a7,b7,c7)、(a8,b8,c8)、(a9,b9,c9)、(a10,b10,c10)。
A first modulus value is calculated 202 based on one or more sets of acceleration data for the transportation device while at rest.
Specifically, when calculating the first modulus, the following steps may be performed:
(1) determining the average value of the acceleration components of one or more groups of acceleration data of the traffic equipment in the static state in a plurality of different directions according to one or more groups of acceleration data of the traffic equipment in the static state;
(2) the first modulus is calculated from an average of acceleration components in a plurality of different directions of the traffic device when in a stationary state.
In step 201, the three-axis acceleration sensor can acquire 10 sets of acceleration data of the traffic equipment in a stationary state within 1s, and 10 sets of acceleration data (a) of the traffic equipment in the stationary state are acquired according to the acceleration data (a)1,b1,c1)、(a2,b2,c2)、(a3,b3,c3)、(a4,b4,c4)、(a5,b5,c5)、(a6,b6,c6)、(a7,b7,c7)、(a8,b8,c8)、(a9,b9,c9)、(a10,b10,c10) Calculating the average value of the acceleration components of 10 groups of acceleration data on three coordinate axes of the three-axis acceleration sensor respectively, and calculating the obtained static stateThe average value of the acceleration components of 10 sets of acceleration data on three coordinate axes is expressed by formula (1):
in the formula (1), the first and second groups,
representing 10 sets of acceleration data of the traffic equipment in a static state at xbAn average of the acceleration components on the axis;
representing 10 sets of acceleration data at y for a traffic device at restbThe average of the acceleration components on the axis;
z represents 10 sets of acceleration data of the traffic equipment in a stationary statebAverage of the acceleration components on the axis.
According to the average value of the acceleration components on three coordinate axes when the traffic equipment is in a static state
The modulus of the average value of the traffic device in the stationary state can be calculated and expressed by the formula (2):
and 203, when the traffic equipment is in the motion state, acquiring one or more groups of acceleration data of the traffic equipment in the motion state.
For example, when the traffic device is in a motion state, the three-axis acceleration sensor can acquire that the traffic device is in xbAxis, ybAxis, zbOne or more sets of acceleration values on the axis, the same within 1s, of a three-axis acceleration sensorThe acceleration data of 10 groups of traffic equipment in the motion state can be collected, and one group of acceleration data can be regarded as one processing unit, so that in 1s, the acceleration data of 10 processing units in the motion state collected by the three-axis acceleration sensor can be respectively represented as: (a'1,b’1,c’1)、(a’2,b’2,c’2)、(a’3,b’3,c’3)、(a’4,b’4,c’4)、(a’5,b’5,c’5)、(a’6,b’6,c’6)、(a’7,b’7,c’7)、(a’8,b’8,c’8)、(a’9,b’9,c’9)、(a’10,b’10,c’10)。
It should be understood that the acceleration data of the transportation device in the stationary state is stable relative to the acceleration data in the moving state, so that one or more sets of acceleration data of the transportation device in the stationary state are generally collected only once.
And 204, calculating a second module value according to one or more groups of acceleration data of the traffic equipment in the motion state.
Specifically, when the second modulus is calculated, the method comprises the following steps:
(1) determining the average value of the acceleration of one or more groups of acceleration data of the traffic equipment in the motion state in a plurality of different directions according to one or more groups of acceleration data of the traffic equipment in the motion state;
(2) and calculating a second module value according to the average value of the acceleration of the traffic equipment in a plurality of different directions in the motion state.
In step 203, the three-axis acceleration sensor can acquire 10 sets of acceleration data of the traffic equipment in the motion state within 1s, and 10 sets of acceleration data (a 'of the traffic equipment in the motion state are obtained'1,b’1,c’1)、(a’2,b’2,c’2)、(a’3,b’3,c’3)、(a’4,b’4,c’4)、(a’5,b’5,c’5)、(a’6,b’6,c’6)、(a’7,b’7,c’7)、(a’8,b’8,c’8)、(a’9,b’9,c’9)、(a’10,b’10,c’10) The average values of the acceleration components of the 10 sets of acceleration data on the three coordinate axes of the three-axis acceleration sensor are respectively calculated, and the calculated average values of the acceleration components of the 10 sets of acceleration data on the three coordinate axes of the traffic equipment in the motion state can be expressed by a formula (3):
in the formula (3), the first and second groups,
representing 10 groups of acceleration data of the traffic equipment in a motion state at xbAn average of the acceleration components on the axis;
representing 10 sets of acceleration data of the traffic equipment in a motion state at ybAn average of the acceleration components on the axis;
z represents 10 groups of acceleration data of the traffic equipment in the motion statebAverage of the acceleration components on the axis.
According to the average value of the acceleration components of the traffic equipment on three coordinate axes in the motion state
The mode of obtaining the average value of the traffic equipment in the motion state can be calculated, and is expressed by the formula (4):
and 205, determining a difference between the first modulus value and the second modulus value according to the first modulus value and the second modulus value.
Specifically, the calculated first module value of the triaxial acceleration of the traffic equipment in the static state
And the second module value of the traffic equipment in the motion state
Taking the difference, and marking the mode difference in the two states as "e", then e can be expressed by equation (5):
206, when the difference value is greater than or equal to the preset threshold value, the traffic equipment is in a state of rapid speed change motion; and when the difference value is smaller than the preset threshold value, the traffic equipment is not in the state of the quick speed change motion.
Comparing the calculated difference value with a preset threshold value, and identifying whether the traffic equipment is in a rapid speed change motion state through comparison, specifically, the method can be divided into the following two scenes:
scenario (1): when the difference value is larger than or equal to a preset threshold value, the traffic equipment is in a state of rapid speed change motion;
scenario (2): and when the difference value is smaller than the preset threshold value, the traffic equipment is not in the state of the quick speed change motion.
It should be understood that the norm of the average value of the acceleration data of the three-axis acceleration sensor generally shows a steady trend, about 1g, when the traffic device is in a stationary state, and the norm of the average value of the acceleration data of the three-axis acceleration sensor may float when the traffic device is in a moving state. In view of this, the embodiment of the present application may further identify whether the traffic device is in a state of rapid change of speed by calculating a difference between a first modulus value corresponding to the traffic device in a stationary state and a second modulus value corresponding to the traffic device in a moving state.
In summary, in the method for identifying a sudden speed change motion state of a transportation device provided in the embodiment of the present application, taking a three-axis acceleration sensor as an example, an average value of 10 sets of acceleration data of the transportation device in a stationary state is calculated by using formula (1), and further, a modulus of the average value of 10 sets of acceleration data of the transportation device in the stationary state is calculated by using formula (2). Similarly, when the transportation equipment is in the motion state, the formula (3) is used for calculating and obtaining the average value of 10 groups of acceleration data of the transportation equipment in the motion state, further, the formula (4) is used for calculating and obtaining the modulus of the average value of the transportation equipment in the motion state, the modulus values in two different states are subjected to difference, and whether the transportation equipment is in the rapid speed change motion state or not is judged by comparing the difference value with the threshold value. Compared with the prior art, the method ensures the real-time performance of the judgment result and solves the problems of time delay and hysteresis when judging whether the traffic equipment is in a rapid speed change motion state.
Fig. 3 is a schematic structural diagram of an apparatus for identifying a state of an abrupt change motion of a transportation device according to an embodiment of the present application.
Illustratively, as shown in fig. 3, the apparatus 300 includes:
a first obtaining module 301, configured to obtain one or more sets of acceleration data of the transportation device in a stationary state when the transportation device is in the stationary state, where each set of acceleration data of the one or more sets of acceleration data includes acceleration components of the transportation device in multiple different directions;
a first processing module 302, configured to calculate a first modulus value according to one or more sets of acceleration data of the transportation device in the stationary state;
a second obtaining module 303, configured to obtain one or more sets of acceleration data of the transportation device in a motion state when the transportation device is in the motion state;
a second processing module 304, configured to calculate a second module value according to one or more sets of acceleration data of the transportation device in the motion state;
a third processing module 305, configured to determine a difference between the first modulus and the second modulus according to the first modulus and the second modulus;
the judging module 306 is configured to, when the difference is greater than or equal to a preset threshold, enable the transportation device to be in the rapid speed change motion state; when the difference value is smaller than the preset threshold value, the traffic equipment is not in the rapid speed change motion state.
In a possible implementation manner, the first processing module 302 is specifically configured to determine, according to one or more sets of acceleration data of the transportation device in the stationary state, an average value of acceleration components of the one or more sets of acceleration data of the transportation device in a plurality of different directions in the stationary state; and calculating the first module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the static state.
In a possible implementation manner, the second processing module 304 is specifically configured to determine, according to one or more sets of acceleration data of the transportation device in the motion state, an average value of acceleration components of the one or more sets of acceleration data of the transportation device in a plurality of different directions in the motion state; and calculating the second module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the motion state.
It should be noted that the first obtaining module and the second obtaining module in the apparatus may be different obtaining units under the same obtaining module, and similarly, the first processing module, the second processing module, and the third processing module in the apparatus may be different processing units under the same processing module.
In one possible implementation, each set of acceleration data is acquired by one or more acceleration sensors selected from the following: a three-axis acceleration sensor, a six-axis acceleration sensor and a three-axis gyroscope sensor.
Fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present disclosure.
Illustratively, as shown in fig. 4, the apparatus 400 includes a memory 401 and a processor 402.
In one possible implementation, the memory 401 is used to store a computer program 4011, and the processor 402 is used to call and execute the computer program 4011 to implement a method for identifying a state of a sudden-change motion of a transportation device, such as steps 201 to 206 in fig. 2.
In this embodiment, functional modules of the apparatus may be divided according to the method example, for example, the apparatus may correspond to each functional module, or two or more functions may be integrated into one processing module, and the integrated module may be implemented in a form of hardware. It should be noted that, the division of the modules in this embodiment is schematic, and is only one logic function division, and another division manner may be available in actual implementation.
In the case of dividing each functional module with corresponding each function, the apparatus may include: the device comprises a first acquisition module, a first processing module, a second acquisition module, a second processing module, a third processing module, a judgment module and the like. It should be noted that all relevant contents of each step related to the above method embodiment may be referred to as a functional description of the corresponding functional module, and are not described herein again.
The device provided by the embodiment is used for executing the method for identifying the state of the sudden speed change motion of the traffic equipment, so that the same effect as the effect of the implementation method can be achieved.
In case of an integrated unit, the device may comprise a processing module, a storage module. The processing module can be used for controlling and managing the action of the device. The memory module may be used for devices executing mutual program codes and data, etc.
Wherein a processing module may be a processor or controller that may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the present disclosure. The processor may also be a combination of computing functions, including, for example, one or more microprocessors, a Digital Signal Processing (DSP) and microprocessor combination, and the storage module may be a memory.
The present embodiment also provides a computer-readable storage medium, in which an executable program code is stored, which, when running on an apparatus, causes the apparatus to perform the above-mentioned related method steps to implement a method for identifying a state of sudden-change motion of a traffic device in the above-mentioned embodiments.
The present embodiment also provides a computer program product, which when running on a computer, causes the computer to execute the relevant steps described above, so as to implement the method for identifying the state of the sudden shift motion of the traffic equipment in the above embodiments.
In addition, the apparatus provided in the embodiments of the present application may specifically be a chip, a component or a module, and the apparatus may include a processor and a memory connected to each other; when the device runs, the processor can call and execute the executable program code, so that the chip executes the method for identifying the state of the sudden speed change motion of the traffic equipment in the embodiment.
The apparatus, the computer storage medium, the computer program product, or the chip provided in this embodiment are all configured to execute the corresponding method provided above, so that the beneficial effects achieved by the apparatus, the computer storage medium, the computer program product, or the chip can refer to the beneficial effects in the corresponding method provided above, and are not described herein again.
Through the description of the above embodiments, those skilled in the art will understand that, for convenience and simplicity of description, only the division of the above functional modules is used as an example, and in practical applications, the above function distribution may be completed by different functional modules as needed, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a module or a unit may be divided into only one logic function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of identifying a state of rapid change motion of a piece of transportation equipment, the method comprising:
when the traffic equipment is in a static state, acquiring one or more groups of acceleration data of the traffic equipment in the static state, wherein each group of acceleration data in the one or more groups of acceleration data comprises acceleration components of the traffic equipment in a plurality of different directions;
calculating a first modulus value according to one or more groups of acceleration data of the traffic equipment in the static state;
when the traffic equipment is in a motion state, acquiring one or more groups of acceleration data of the traffic equipment in the motion state;
calculating a second module value according to one or more groups of acceleration data of the traffic equipment in the motion state;
determining a difference value between the first modulus value and the second modulus value according to the first modulus value and the second modulus value;
when the difference value is larger than or equal to a preset threshold value, the traffic equipment is in the state of the rapid speed change motion;
and when the difference value is smaller than the preset threshold value, the traffic equipment is not in the state of the quick speed change motion.
2. The method of claim 1, wherein calculating a first modulus value from one or more sets of acceleration data of the transportation device while in the stationary state comprises:
determining an average value of acceleration components of one or more groups of acceleration data of the traffic equipment in the static state in the plurality of different directions according to one or more groups of acceleration data of the traffic equipment in the static state;
calculating the first modulus value according to an average value of the acceleration components of the traffic equipment in the plurality of different directions in the static state.
3. The method of claim 1 or 2, wherein the calculating a second model value based on one or more sets of acceleration values of the transportation device in the motion state comprises:
determining an average value of acceleration components of one or more sets of acceleration data of the traffic device in the motion state in the plurality of different directions according to the one or more sets of acceleration data of the traffic device in the motion state;
and calculating the second module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the motion state.
4. The method according to claim 1 or 2, wherein each set of acceleration data is acquired by any one or more of the following acceleration sensors: a three-axis acceleration sensor, a six-axis acceleration sensor and a three-axis gyroscope sensor.
5. An apparatus for identifying a state of rapid change motion of a transportation device, the apparatus comprising:
the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring one or more groups of acceleration data of the traffic device in a static state when the traffic device is in the static state, and each group of acceleration data in the one or more groups of acceleration data comprises acceleration components of the traffic device in a plurality of different directions;
the first processing module is used for calculating a first module value according to one or more groups of acceleration data of the traffic equipment in the static state;
the second acquisition module is used for acquiring one or more groups of acceleration data of the traffic equipment in a motion state when the traffic equipment is in the motion state;
the second processing module is used for calculating a second module value according to one or more groups of acceleration data of the traffic equipment in the motion state;
the third processing module is used for determining the difference value between the first modulus value and the second modulus value according to the first modulus value and the second modulus value;
the judging module is used for enabling the traffic equipment to be in the state of the rapid speed change motion when the difference value is larger than or equal to a preset threshold value; and when the difference value is smaller than the preset threshold value, the traffic equipment is not in the state of the quick speed change motion.
6. The apparatus of claim 5, wherein the first processing module is specifically configured to:
determining an average value of acceleration components of one or more groups of acceleration data of the traffic equipment in the static state in the plurality of different directions according to one or more groups of acceleration data of the traffic equipment in the static state;
calculating the first modulus value according to an average value of the acceleration components of the traffic equipment in the plurality of different directions in the static state.
7. The apparatus according to claim 5 or 6, wherein the second processing module is specifically configured to:
determining an average value of acceleration components of one or more sets of acceleration data of the traffic device in the motion state in the plurality of different directions according to the one or more sets of acceleration data of the traffic device in the motion state;
and calculating the second module value according to the average value of the acceleration components of the traffic equipment in the plurality of different directions in the motion state.
8. The apparatus of claim 5 or 6, wherein each set of acceleration data is acquired by any one or more of the following acceleration sensors: a three-axis acceleration sensor, a six-axis acceleration sensor and a three-axis gyroscope sensor.
9. An apparatus, characterized in that the apparatus comprises:
a memory for storing a computer program;
a processor for invoking and running the computer program from the memory, such that the apparatus performs the method of any of claims 1-4.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed, implements the method of any one of claims 1 to 4.
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| CN202111585216.5A CN114429713A (en) | 2021-12-22 | 2021-12-22 | Method, device and storage medium for identifying sudden speed change motion state of traffic equipment |
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