CN118052072A - Identification method and device - Google Patents

Abstract

The present disclosure provides an identification method and device, the method includes constructing a first cube according to a simulation model of a target object, and obtaining a data set of the first cube; the first cube is the minimum external cube of the simulation model; processing the simulation model based on the data set, and obtaining target parameter data based on the processed simulation model; constructing a second cube according to the target parameter data; determining a target node of a target corner of the target object by using the second cube; the target node is taken as the impact point of the target object.

Description

Identification method and device

Technical Field

The present disclosure relates to the field of computers, and in particular, to an identification method and apparatus.

Background

With development of technology, digital intelligent transformation is performed, simulation demand is greatly increased, and development time of consumer electronic products is shortened, so that a system simulation model is particularly required to be built in a short time. Taking a notebook as an example, the corner drop test of the notebook is the most likely to fail in the project, and in order to simulate the corner drop, a simulation model is built in finite element software. However, the simulation model of falling by the corners which is established manually is complicated in steps and easy to make mistakes, and the structure of each simulation model is different, so that the impact point is difficult to determine empirically.

In the related art, when the consumer electronic product performs the falling test, a plurality of points need to be tested, but the manual operation is difficult to set a correct rotation angle, different rotation angles need to be tried for a plurality of times, and the lowest point of the simulation model needs to be checked manually until the consumer electronic product impacts the correct corner, so that the modeling efficiency of the modeling mode is low.

Disclosure of Invention

The present disclosure provides an identification method and apparatus, so as to at least solve the above technical problems in the prior art.

According to a first aspect of the present disclosure, there is provided an identification method, the method comprising:

Constructing a first cube according to a simulation model of a target object, and obtaining a data set of the first cube; the first cube is the minimum external cube of the simulation model;

processing the simulation model based on the data set, and obtaining target parameter data based on the processed simulation model;

Constructing a second cube according to the target parameter data;

Determining a target node for a target corner of the target object using the second cube; and taking the target node as an impact point of the target object.

In an embodiment, the obtaining the data set of the first cube includes:

Determining that the simulation model is based on the size data of the first cube; the dimension data comprises a transverse axis dimension value in a transverse axis direction, a longitudinal axis dimension value in a longitudinal axis direction and a vertical axis dimension value in a vertical axis direction;

Determining eight vertex coordinates of the first cube according to the size data, and taking the eight vertex coordinates as starting point coordinates; the eight vertex coordinates of the first cube are composed of a first abscissa, a second abscissa, a first ordinate, a second ordinate, a first vertical coordinate and a second vertical coordinate;

the size data and eight vertex coordinates are determined as a dataset of the first cube.

In an embodiment, the processing the simulation model based on the dataset includes:

determining the maximum value, the middle value and the minimum value of the transverse axis size value, the vertical axis size value and the vertical axis size value;

Determining the axis of the minimum value as the rotation axis of the roll angle, determining the axis of the maximum value as the rotation axis of the forward angle, and determining the direction of the intermediate value as the normal direction of the virtual floor;

and translating the simulation model from the starting point coordinates to a coordinate origin based on the target corners of the target object to obtain the processed simulation model.

In an embodiment, the obtaining the target parameter data based on the processed simulation model includes:

Setting a camber angle degree and a toe angle degree;

based on the processed simulation model, determining the angle of the rotating side inclination angle by using a first preset mode according to the axis of the rotating shaft of the side inclination angle;

based on the processed simulation model, determining the degree of the rotating front dip angle by using a second preset mode according to the axis of the rotating shaft of the front dip angle;

And determining the plane of the target node by using a third preset mode based on the processed simulation model and the normal axis of the virtual floor.

In one embodiment, constructing a second cube from the target parameter data includes:

And constructing a second cube according to the rotation side inclination angle, the rotation front inclination angle and the plane where the target node is located.

In an embodiment, determining a target node for the target corner of the target object using the second cube includes:

Searching nodes in the simulation model by utilizing the second cube;

Determining target nodes in all nodes; the target node is an impact point of the target object.

In an embodiment, the method further comprises:

determining coordinates of the target node;

and taking the coordinates of the target node as the origin of coordinates of the simulation model.

In an embodiment, the method further comprises:

and establishing a virtual floor by taking the target node as a coordinate origin, and establishing a target model for falling of a target corner based on the virtual floor.

In one embodiment, the target object includes a plurality of target corners;

and establishing a target model of falling every target corner one by one.

According to a second aspect of the present disclosure there is provided an identification device, the device comprising:

The first construction module is used for constructing a first cube according to the simulation model of the target object and obtaining a data set of the first cube; the first cube is the minimum external cube of the simulation model;

the processing module is used for processing the simulation model based on the data set and obtaining target parameter data based on the processed simulation model;

the second construction module is used for constructing a second cube according to the target parameter data;

a determining module, configured to determine a target node of the target corner of the target object using the second cube; and taking the target node as an impact point of the target object.

According to a third aspect of the present disclosure, there is provided an electronic device comprising:

at least one processor; and

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the methods described in the present disclosure.

According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of the present disclosure.

According to the identification method and device disclosed by the application, the impact point of falling and falling of any corner of the target object can be automatically identified, the simulation model of falling and falling of the corner is built, and the working efficiency of simulation modeling is improved.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present disclosure will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings, in which:

in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

FIG. 1 is a schematic diagram of an implementation flow of an identification method according to an embodiment of the disclosure;

FIG. 2 illustrates a starting point schematic diagram of an embodiment of the present disclosure;

FIG. 3 illustrates a three axis reverse dimension schematic of an embodiment of the present disclosure;

FIG. 4 illustrates a target corner translation to origin of coordinates in accordance with an embodiment of the present disclosure;

FIG. 5 illustrates a side tilt rotation schematic of an embodiment of the present disclosure;

FIG. 6 illustrates a forward tilt angle rotation schematic of an embodiment of the present disclosure;

FIG. 7 illustrates a second cube build schematic of an embodiment of the present disclosure;

FIG. 8 illustrates a target corner minimum node schematic diagram of an embodiment of the present disclosure;

FIG. 9 illustrates a schematic diagram of a target corner drop simulation model of a target object in an embodiment of the present disclosure;

FIG. 10 is a schematic diagram of a simulation model of falling into each corner of a target object according to an embodiment of the present disclosure;

FIG. 11 is a schematic diagram showing the structure of an identification device according to an embodiment of the present disclosure;

fig. 12 is a schematic diagram showing a composition structure of an electronic device according to an embodiment of the present disclosure.

Detailed Description

In order to make the objects, features and advantages of the present disclosure more comprehensible, the technical solutions in the embodiments of the present disclosure will be clearly described in conjunction with the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are only some embodiments of the present disclosure, but not all embodiments. Based on the embodiments in this disclosure, all other embodiments that a person skilled in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.

The finite element software can only establish a simulation model of corner falling manually by firstly selecting any point of the corner as an initial coordinate, translating the simulation model from the initial coordinate to a coordinate origin, and taking the coordinate origin as a reference for rotation and translation of the subsequent simulation model. And then the simulation model is rotated by the roll angle along the vertical axis and then rotated by the forward tilt angle along the horizontal axis. Finally, checking the lowest point of the simulation model after rotation by human eyes, and establishing a virtual floor at the lowest point to finish the corner falling simulation model. Resulting in inefficient work in building simulation models of corner drop.

A specific identification method and apparatus provided in the embodiments of the present application are described below with reference to the accompanying drawings.

As shown in fig. 1, an embodiment of the present application provides an identification method, which includes:

s101, constructing a first cube according to a simulation model of a target object, and obtaining a data set of the first cube; the first cube is the minimum external cube of the simulation model;

The object in the application can be any object easy to fall, for example, can be intelligent equipment such as a computer, a tablet computer, a mobile phone and the like, and the application firstly constructs a simulation model of the object, and the simulation model can be constructed by utilizing a construction method in the existing mode, and the application is not limited herein. The application builds the minimum external cube of the simulation model on the basis of the simulation model, then builds a rectangular coordinate system with the edge of one corner of the first cube, and obtains the dimension data in the three-axis directions of the X axis, the Y axis and the Z axis according to the side length of the first cube.

It can be understood that, assuming that the target object in the present application is a notebook computer, the first cube of the simulation model framework of the notebook computer has 8 vertices, and six numerical values X _max、Y_max、Z_max、X_min、Y_min、Z_min are adopted to represent 8 vertex coordinates according to the set origin of coordinates in the present application. I.e. the dataset of the first cube.

S102, processing the simulation model based on the data set, and obtaining target parameter data based on the processed simulation model;

And carrying out translation processing on the simulation model through the data set obtained by the first cube to obtain a translated simulation model. The roll angle, the forward angle and the plane of the target node of the translated simulation model are determined, and it is understood that the target node is the lowest point of the target corner.

S103, constructing a second cube according to the target parameter data;

a virtual second cube is constructed based on the roll angle, the rake angle, and the plane in which the target node lies, it being understood that the second cube is smaller than the first cube.

S104, determining a target node of the target corner of the target object by using the second cube; and taking the target node as an impact point of the target object.

Searching nodes in the target corners of the simulation model by using the second cube, and finding the lowest node from the searched nodes to serve as a target node, wherein the target node is an impact point.

The identification method provided by the application can identify the target corner of the target object, and search the lowest point of the target corner as the impact point.

In some alternative embodiments, the obtaining the data set of the first cube includes:

Determining that the simulation model is based on the size data of the first cube; the dimension data comprises a transverse axis dimension value in a transverse axis direction, a longitudinal axis dimension value in a longitudinal axis direction and a vertical axis dimension value in a vertical axis direction;

Determining eight vertex coordinates of the first cube according to the size data, and taking the eight vertex coordinates as starting point coordinates; the eight vertex coordinates of the first cube are composed of a first abscissa, a second abscissa, a first ordinate, a second ordinate, a first vertical coordinate and a second vertical coordinate;

the size data and eight vertex coordinates are determined as a dataset of the first cube.

Specifically, as shown in fig. 2, the present application constructs a rectangular coordinate system with the origin of coordinates at the corner of the first cube, and determines dimension data in three axes of the X axis, the Y axis, and the Z axis on the basis of the rectangular coordinate system, for example, Δx= 313.52, Δy=21.74, and Δz= 218.93. Setting coordinates of eight vertexes according to the origin of coordinates, wherein the coordinates can be represented by six numerical values X _max、Y_max、Z_max、X_min、Y_min、Z_min; assuming that the first cube is placed as shown in fig. 2, wherein the left front upper corner vertex coordinates are (X _min,Y_max,Z_min), the left front lower corner vertex coordinates are (Z _min,Y_max,Z_max), the right front upper corner vertex coordinates are (Z _max,Y_max,Z_min), the right front lower corner vertex coordinates are (Z _max,Y_max,Z_max), the left rear upper corner vertex coordinates are (X _min,Y_min,Z_min), the left rear lower corner vertex coordinates are (X _min,Y_min,Z_max), the right rear upper corner vertex coordinates are (X _max,Y_min,Z_min), and the right rear lower corner vertex coordinates are (X _max,Y_min,Z_max). It will be appreciated that from the origin of coordinates at this point, the particular value of X _max、Y_max、Z_max、X_min、Y_min、Z_min may be determined to facilitate use in subsequent steps.

In some embodiments, the processing the simulation model based on the dataset includes:

determining the maximum value, the middle value and the minimum value of the transverse axis size value, the vertical axis size value and the vertical axis size value;

Determining the axis of the minimum value as the rotation axis of the roll angle, determining the axis of the maximum value as the rotation axis of the forward angle, and determining the direction of the intermediate value as the normal direction of the virtual floor;

and translating the simulation model from the starting point coordinates to a coordinate origin based on the target corners of the target object to obtain the processed simulation model.

Specifically, according to the dimensional data in the three axes of the X axis, the Y axis and the Z axis, the minimum value Δy=21.74 is taken as the thickness direction of the first cube, that is, the rotation axis of the roll angle, the maximum value Δx= 313.52 in the three axes is taken as the horizontal direction, that is, the rotation axis of the forward roll angle, and finally the intermediate value Δz= 218.93 is taken as the normal direction of the virtual floor.

For example, as shown in fig. 3, the dimensional data in the three-axis direction is Δx= 313.52, Δy=21.74, and Δz= 218.93, where Δy=21.74 is the minimum value, and thus the Y-axis is the roll angle rotation axis; Δx= 313.52 is the maximum value, and therefore, the X-axis is the forward-tilt rotation axis; Δz= 218.93 is an intermediate value, so the Z-axis direction is the virtual floor normal direction.

Then, a corner coordinate point is determined, for example, as shown in fig. 4, taking the left front lower corner vertex coordinate (X _min,Y_max,Z_max) as the target corner, then the coordinate of the target corner needs to be translated to the origin of coordinates. And obtaining the translated simulation model.

In some optional embodiments, the obtaining the target parameter data based on the processed simulation model includes:

Setting a camber angle degree and a toe angle degree;

based on the processed simulation model, determining the angle of the rotating side inclination angle by using a first preset mode according to the axis of the rotating shaft of the side inclination angle;

based on the processed simulation model, determining the degree of the rotating front dip angle by using a second preset mode according to the axis of the rotating shaft of the front dip angle;

And determining the plane of the target node by using a third preset mode based on the processed simulation model and the normal axis of the virtual floor.

In the present application, the roll angle β and the front tilt angle γ are set according to the target object, and in the present application, a notebook computer is taken as an example, the roll angle α is set to be 45 degrees, and the front tilt angle β is set to be 20 degrees. Then according to the translated simulation model, the angle of the rotary side inclination angle is determined by a first preset mode by taking the translated coordinate origin as a reference and according to the axis of the rotary shaft of the side inclination angle, wherein the first preset mode is that

|Z_max|≥|Z_min|&|X_max|≤|X_mim|:θ_Y＝α

|Z_max|≥|Z_min|&|X_max|≤|X_min|:θ_Y＝-α

|Z_max|≤|Z_min|&|X_max|≤|X_min|:θ_Y＝α+90

|Z_max|≤|Z_min|&|X_max|≥|X_min|:θ_Y＝-α-90

For example, in the present application, the Y axis is used as the rotation axis of the roll angle, the absolute value of X _max、Z_max、X_min、Z_min is compared with the absolute value, and the angle value of the roll angle θ _Y is determined based on the comparison result. For example, in the case of |z _max|≥|Z_min | and |x _max|≤|X_min |, the rotational roll angle θ _Y is the roll angle α; when |z _max|≥|Z_min | and |x _max|≤|X_min |, the rotation roll angle θ _Y is the counterclockwise roll angle α; when the absolute value is equal to the absolute value of Z _max|≤|Z_min and the absolute value is equal to the absolute value of X _max|≤|X_min, the rotation roll angle theta _Y is the roll angle alpha which is rotated by 90 degrees again; when |z _max|≤|Z_min | and |x _max|≥|X_min |, the rotation roll angle θ _Y is the counterclockwise roll angle α, and then continues to rotate 90 degrees counterclockwise. As shown in fig. 5, taking the left front lower corner vertex coordinate (X _min,Y_max,Z_max) as an example, it satisfies the 4 th equation in the first preset manner described above, and thus the rotation roll angle is-135 degrees, and thus the target object is rotated-135 degrees along the Y-axis.

Determining the degree of the rotating pretilt angle by utilizing a second preset mode according to the axis of the rotating shaft of the pretilt angle, wherein the second preset mode is that

|Y_max|>|Y_min|∶θ_X＝β

|Y_max|<|Y_min|∶θ_X＝-β

Specifically, in the present application, the Y axis is taken as the rotation axis of the roll angle, the X axis is taken as the rotation axis of the rake angle, and the absolute value and the relative size of Y _max、Y_min obtained by the first cube are taken, as shown in fig. 6, when the second formula in the second preset manner is satisfied, the degree of the rotation rake angle is-20 degrees, because the rotation along the X axis in the counterclockwise direction is required to be 20 degrees.

Determining a plane of the target node by using a third preset mode based on an axis of the normal of the virtual floor, wherein the third preset mode is that

Plane of Z _max|>|Z_min: lowest node at z=z _min

Plane of Z _max|<|Z_min: lowest node at z=z _max

Specifically, the Z axis is the normal vector of the virtual floor, and the lowest node of the rotated simulation model is searched to ensure that the virtual floor does not pass through the simulation model. And taking an absolute value of Z _max、Z_min obtained through the first cube, comparing the absolute value with the absolute value, and determining the Z plane of the lowest node.

In some alternative embodiments, constructing a second cube from the target parameter data includes:

And constructing a second cube according to the rotation side inclination angle, the rotation front inclination angle and the plane where the target node is located.

Specifically, as shown in fig. 7, after obtaining the roll rotation angle, the rake rotation angle and the Z plane where the lowest node is located, a second cube is constructed, where the second cube is composed of six planes, z=0, and z=z _min、x＝X_min、x＝X_max、y＝Y_min、y＝Y_max.

In some alternative embodiments, determining a target node for the target corner of the target object using the second cube includes:

Searching nodes in the simulation model by utilizing the second cube;

Determining target nodes in all nodes; the target node is an impact point of the target object.

In some alternative embodiments, further comprising:

determining coordinates of the target node;

and taking the coordinates of the target node as the origin of coordinates of the simulation model.

Specifically, as shown in fig. 8, the second cube may search for a node in the target corner of the simulation model, find the unique lowest node from the searched nodes, the lowest node is the impact point, the lowest node coordinate is (X ₁,Y₁,Z_min), and translate the simulation model from the point coordinate (X ₁,Y₁,Z_min) to the origin coordinate. As shown in fig. 9, the virtual floor is then built by the origin coordinates, and at this time, the lowest node of the target object is located on the virtual floor, that is, the building of the simulation model of the falling of the lowest corner of the target node is completed.

In some alternative embodiments, the target object comprises a plurality of target corners;

and establishing a target model of falling every target corner one by one.

And when the target object has a plurality of falling corners, repeating the steps for each corner to finish the simulation model of falling of each target corner.

Specifically, as shown in fig. 10, when the target object includes a plurality of target corners, a corresponding simulation model of falling is required to be built for each target corner, for example, when the target object is a notebook computer, the total number of target corners is 8, after a simulation model of one node has been built, the remaining 7 start point coordinates are repeated to build the simulation model of falling at the corners, and a simulation model of falling at 8 corners is built.

The identification method provided by the application can automatically identify the rotation angle and the impact point of the target object simulation model, thereby establishing the simulation model of the falling of the target object, shortening the construction event of the falling simulation model to 1 minute, and improving the construction efficiency of the falling simulation model.

As shown in fig. 11, an embodiment of the present application provides an identification device, which includes:

A first construction module 1101, configured to construct a first cube according to a simulation model of a target object, and obtain a data set of the first cube; the first cube is the minimum external cube of the simulation model;

The processing module 1102 is configured to process the simulation model based on the data set, and obtain target parameter data based on the processed simulation model;

a second construction module 1103, configured to construct a second cube according to the target parameter data;

A determining module 1104 for determining a target node of the target corner of the target object using the second cube; and taking the target node as an impact point of the target object.

According to the identification device provided by the embodiment of the application, a first cube is constructed according to a simulation model of a target object through a first construction module, and a data set of the first cube is obtained; the first cube is the minimum external cube of the simulation model; then processing the simulation model based on the data set through a processing module, and obtaining target parameter data based on the processed simulation model; the second construction module constructs a second cube according to the target parameter data; a determining module determines a target node of the target corner of the target object using the second cube; and taking the target node as an impact point of the target object.

In some embodiments, the processing module 1102 includes:

A first determining unit, configured to determine a maximum value, a median value, and a minimum value among the horizontal axis dimension value, the vertical axis dimension value, and the vertical axis dimension value;

A second determining unit, configured to determine, as a rotation axis of the roll angle, an axis of the minimum value, determine, as a rotation axis of the forward roll angle, an axis of the maximum value, and determine, as a normal direction of the virtual floor, a direction of the intermediate value;

And the translation unit is used for translating the simulation model from the starting point coordinate to the coordinate origin based on the target corner of the target object to obtain the processed simulation model.

In some embodiments, the processing module 1102 further includes:

A setting unit for setting a camber angle degree and a toe angle degree;

The third determining unit is used for determining the angle of the rotary side dip angle by utilizing a first preset mode according to the axis of the rotary shaft of the side dip angle based on the processed simulation model;

A fourth determining unit, configured to determine, based on the processed simulation model, a degree of the rotating pretilt angle according to an axis on which the rotating shaft of the pretilt angle is located, using a second preset manner;

And the fifth determining unit is used for determining the plane of the target node by using a third preset mode based on the processed simulation model and the normal axis of the virtual floor.

In some embodiments, the second building module 1103 includes

And the construction unit is used for constructing a second cube according to the rotation side inclination angle, the rotation front inclination angle and the plane where the target node is located.

In some embodiments, the second building module 1103 further includes:

A searching unit, configured to search nodes in the simulation model by using the second cube;

the identifying unit is used for determining target nodes in all the nodes; the target node is an impact point of the target object.

In some embodiments, further comprising:

And the translation module is used for determining the coordinates of the target node and taking the coordinates of the target node as the origin of coordinates of the simulation model.

In some embodiments, further comprising:

the building module is used for building a virtual floor by taking the target node as a coordinate origin, and building a target model for falling of a target corner based on the virtual floor.

In some embodiments, the target object comprises a plurality of target corners;

and establishing a target model of falling every target corner one by one.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

Fig. 12 shows a schematic block diagram of an example electronic device 1200 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 8, the apparatus 1200 includes a computing unit 1201, which may perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 1202 or a computer program loaded from a storage unit 1208 into a Random Access Memory (RAM) 1203. In the RAM 1203, various programs and data required for the operation of the device 1200 may also be stored. The computing unit 1201, the ROM 1202, and the RAM 1203 are connected to each other via a bus 1204. An input/output (I/O) interface 1205 is also connected to the bus 1204.

Various components in device 1200 are connected to I/O interface 1205, including: an input unit 1206 such as a keyboard, mouse, etc.; an output unit 1207 such as various types of displays, speakers, and the like; a storage unit 1208 such as a magnetic disk, an optical disk, or the like; and a communication unit 1209, such as a network card, modem, wireless communication transceiver, etc. The communication unit 1209 allows the device 1200 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks.

The computing unit 1201 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 1201 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The computing unit 1201 performs the various methods and processes described above, such as the identification method. For example, in some embodiments, the identification method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 1208. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 1200 via ROM 1202 and/or communication unit 1209. When a computer program is loaded into the RAM 1203 and executed by the computing unit 1201, one or more steps of the above-described identification method may be performed. Alternatively, in other embodiments, the computing unit 1201 may be configured to perform the recognition method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems-on-a-chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present disclosure, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

The foregoing is merely specific embodiments of the disclosure, but the protection scope of the disclosure is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the disclosure, and it is intended to cover the scope of the disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims (10)

1. A method of identification, the method comprising:

Constructing a first cube according to a simulation model of a target object, and obtaining a data set of the first cube; the first cube is the minimum external cube of the simulation model;

processing the simulation model based on the data set, and obtaining target parameter data based on the processed simulation model;

Constructing a second cube according to the target parameter data;

Determining a target node for a target corner of the target object using the second cube; and taking the target node as an impact point of the target object.

2. The method of claim 1, wherein the obtaining the dataset of the first cube comprises:

Determining that the simulation model is based on the size data of the first cube; the dimension data comprises a transverse axis dimension value in a transverse axis direction, a longitudinal axis dimension value in a longitudinal axis direction and a vertical axis dimension value in a vertical axis direction;

Determining eight vertex coordinates of the first cube according to the size data, and taking the eight vertex coordinates as starting point coordinates; the eight vertex coordinates of the first cube are composed of a first abscissa, a second abscissa, a first ordinate, a second ordinate, a first vertical coordinate and a second vertical coordinate;

the size data and eight vertex coordinates are determined as a dataset of the first cube.

3. The method of claim 2, wherein the processing the simulation model based on the dataset comprises:

determining the maximum value, the middle value and the minimum value of the transverse axis size value, the vertical axis size value and the vertical axis size value;

Determining the axis of the minimum value as the rotation axis of the roll angle, determining the axis of the maximum value as the rotation axis of the forward angle, and determining the direction of the intermediate value as the normal direction of the virtual floor;

and translating the simulation model from the starting point coordinates to a coordinate origin based on the target corners of the target object to obtain the processed simulation model.

4. A method according to claim 3, wherein the obtaining target parameter data based on the processed simulation model comprises:

Setting a camber angle degree and a toe angle degree;

based on the processed simulation model, determining the angle of the rotating side inclination angle by using a first preset mode according to the axis of the rotating shaft of the side inclination angle;

based on the processed simulation model, determining the degree of the rotating front dip angle by using a second preset mode according to the axis of the rotating shaft of the front dip angle;

And determining the plane of the target node by using a third preset mode based on the processed simulation model and the normal axis of the virtual floor.

5. The method of claim 4, wherein constructing a second cube from the target parameter data comprises:

And constructing a second cube according to the rotation side inclination angle, the rotation front inclination angle and the plane where the target node is located.

6. The method of claim 5, wherein determining a target node for the target corner of the target object using the second cube comprises:

Searching nodes in the simulation model by utilizing the second cube;

Determining target nodes in all nodes; the target node is an impact point of the target object.

7. The method as recited in claim 1, further comprising:

determining coordinates of the target node;

and taking the coordinates of the target node as the origin of coordinates of the simulation model.

8. The method as recited in claim 1, further comprising:

and establishing a virtual floor by taking the target node as a coordinate origin, and establishing a target model for falling of a target corner based on the virtual floor.

9. The method of claim 8, wherein the target object comprises a plurality of target corners;

and establishing a target model of falling every target corner one by one.

10. An identification device, the device comprising:

The first construction module is used for constructing a first cube according to the simulation model of the target object and obtaining a data set of the first cube; the first cube is the minimum external cube of the simulation model;

the processing module is used for processing the simulation model based on the data set and obtaining target parameter data based on the processed simulation model;

the second construction module is used for constructing a second cube according to the target parameter data;

a determining module, configured to determine a target node of the target corner of the target object using the second cube; and taking the target node as an impact point of the target object.