Data processing method, device, system, storage medium and processor

文档序号:863639 发布日期:2021-03-16 浏览:22次 中文

阅读说明:本技术 数据处理方法、装置、系统、存储介质、处理器 (Data processing method, device, system, storage medium and processor ) 是由 沈轶轩 于 2018-09-30 设计创作,主要内容包括:数据处理方法、装置、系统、存储介质、处理器。该方法包括:根据待建模对象与源对象之间的关系,从源对象的运动学模型中获取源对象的几何数据和统计数据;根据待建模对象与源对象之间的关系,将获取的源对象的几何数据和统计数据转换为用于对待建模对象进行数学建模的几何数据和统计数据。利用来自运动学模型的信息,能够容易且快速地建立数学模型。(Data processing method, device, system, storage medium and processor. The method comprises the following steps: acquiring geometric data and statistical data of a source object from a kinematic model of the source object according to the relationship between the object to be modeled and the source object; and according to the relation between the object to be modeled and the source object, converting the acquired geometric data and statistical data of the source object into geometric data and statistical data for performing mathematical modeling on the object to be modeled. With information from the kinematic model, the mathematical model can be built easily and quickly.)

A data processing method, characterized in that the data processing method comprises:

acquiring geometric data and statistical data of a source object from a kinematic model of the source object according to the relationship between the object to be modeled and the source object;

and according to the relation between the object to be modeled and the source object, converting the acquired geometric data and statistical data of the source object into geometric data and statistical data for performing mathematical modeling on the object to be modeled.

The data processing method of claim 1, further comprising:

inputting the relationship between the object to be modeled and the source object.

The data processing method of claim 1, further comprising at least one of:

performing three-dimensional mathematical modeling of the object to be modeled using the converted geometric data to obtain a three-dimensional mathematical model of the object to be modeled, an

And performing two-dimensional mathematical modeling on the object to be modeled by using the converted statistical data to obtain a two-dimensional mathematical model of the object to be modeled.

The data processing method of claim 1, wherein the source object includes at least one of one or more devices in a factory and one or more workpieces processed by the one or more devices in the factory,

the relationship between the object to be modeled and the source object comprises:

the object to be modeled and the source object are the same object;

the object to be modeled is a combination of the source objects;

the object to be modeled and the source object are correlated in the production process;

the position of the object to be modeled in the plant is correlated with the position of the source object in the plant.

The data processing method of claim 1, wherein, in the case where the source object comprises one or more devices in a plant,

the geometric data of the source object comprises at least one of:

a geometric model of the source object;

orientation information of the source object in the plant;

location information of the source object in the plant, and

the statistical data of the source object comprises at least one of:

a name of the source object;

a type of the source object;

a translation speed of the source object;

a rotational speed of the source object;

a length of the source object;

a processing duration of a currently processing workpiece of the source object;

the source object waits for a wait duration to process the workpiece.

The data processing method of claim 3, wherein, in the case where the source object comprises one or more workpieces processed by one or more devices in a factory,

the geometric data of the source object comprises at least one of:

a geometric model of the source object;

orientation information of the source object in the plant;

location information of the source object in the plant, and

the statistical data of the source object comprises at least one of:

a name of the source object;

a type of the source object;

a translation speed of the source object;

a movement duration of the source object;

a rotational speed of the source object;

a length of the source object;

a processed duration of the source object that is currently being processed;

a wait to be processed duration of the source object waiting to be processed.

The data processing method of claim 4, wherein the step of converting the acquired geometric and statistical data of the source object into geometric and statistical data for mathematically modeling the object to be modeled comprises:

when the object to be modeled and the source object are the same object, taking the acquired geometric data and statistical data of the source object as geometric data and statistical data for performing mathematical modeling on the object to be modeled;

when the object to be modeled is the combination of the source objects, the acquired geometric data and statistical data of all the source objects are used as the geometric data and statistical data for performing mathematical modeling on the object to be modeled;

when the object to be modeled and the source object are correlated in a production process, converting the acquired geometric data of the source object into geometric data for mathematically modeling the object to be modeled according to a conversion relation, based on the production process, of the geometric data of the object to be modeled and the geometric data of the source object, and converting the acquired statistical data of the source object into statistical data for mathematically modeling the object to be modeled according to a conversion relation, based on the production process, of the statistical data of the object to be modeled and the statistical data of the source object;

when the position of the object to be modeled in the factory is correlated with the position of the source object in the factory, the acquired geometric data of the source object is converted into geometric data for mathematically modeling the object to be modeled according to the conversion relation between the geometric data of the object to be modeled and the geometric data of the source object based on the position in the factory, and the acquired statistical data of the source object is converted into statistical data for mathematically modeling the object to be modeled according to the conversion relation between the statistical data of the object to be modeled and the statistical data of the source object based on the position in the factory.

Data processing apparatus, characterized in that the data processing apparatus comprises:

the acquisition unit is used for acquiring geometric data and statistical data of the source object from the kinematic model of the source object according to the relation between the object to be modeled and the source object;

a conversion unit, configured to convert the geometric data and the statistical data of the source object acquired by the acquisition unit into geometric data and statistical data used for performing mathematical modeling on the object to be modeled according to the relationship between the object to be modeled and the source object.

The data processing apparatus of claim 8, wherein the data processing apparatus further comprises:

and the input unit is used for inputting the relation between the object to be modeled and the source object.

The data processing apparatus of claim 8, wherein the modeling apparatus further comprises at least one of:

the three-dimensional modeling unit is used for acquiring and obtaining three-dimensional mathematical modeling of the object to be modeled by utilizing the converted geometric data so as to obtain a three-dimensional mathematical model of the object to be modeled;

and the two-dimensional modeling unit is used for acquiring and obtaining the two-dimensional mathematical modeling of the object to be modeled by utilizing the converted statistical data so as to obtain a two-dimensional mathematical model of the object to be modeled.

The data processing apparatus of claim 8, wherein the source object comprises at least one of one or more devices in a factory and one or more workpieces processed by the one or more devices in the factory,

the relationship between the object to be modeled and the source object comprises:

the object to be modeled and the source object are the same object;

the object to be modeled is a combination of the source objects;

the object to be modeled and the source object are correlated in the production process;

the position of the object to be modeled in the plant is correlated with the position of the source object in the plant.

The data processing apparatus of claim 8, wherein, in the case that the source object comprises one or more devices in a plant,

the geometric data of the source object comprises at least one of:

a geometric model of the source object;

orientation information of the source object in the plant;

location information of the source object in the plant, and

the statistical data of the source object comprises at least one of:

a name of the source object;

a type of the source object;

a translation speed of the source object;

a rotational speed of the source object;

a length of the source object;

a processing duration of a currently processing workpiece of the source object;

the source object waits for a wait duration to process the workpiece.

The data processing apparatus of claim 10, wherein, in the case where the source object comprises one or more workpieces processed by one or more devices in a factory,

the geometric data of the source object comprises at least one of:

a geometric model of the source object;

orientation information of the source object in the plant;

location information of the source object in the plant, and

the statistical data of the source object comprises at least one of:

a name of the source object;

a type of the source object;

a translation speed of the source object;

a movement duration of the source object;

a rotational speed of the source object;

a length of the source object;

a processed duration of the source object that is currently being processed;

a wait to be processed duration of the source object waiting to be processed.

The data processing apparatus of claim 11, wherein the conversion unit is configured to:

when the object to be modeled and the source object are the same object, taking the acquired geometric data and statistical data of the source object as geometric data and statistical data for performing mathematical modeling on the object to be modeled;

when the object to be modeled is the combination of the source objects, the acquired geometric data and statistical data of all the source objects are used as the geometric data and statistical data for performing mathematical modeling on the object to be modeled;

when the object to be modeled and the source object are correlated in a production process, converting the acquired geometric data of the source object into geometric data for performing mathematical modeling on the object to be modeled according to a conversion relation, based on the production process, of the geometric data of the object to be modeled and the geometric data of the source object, and converting the acquired statistical data of the source object into statistical data for performing mathematical modeling on the object to be modeled according to a conversion relation, based on the production process, of the statistical data and the statistical data of the source object;

when the position of the object to be modeled in the factory is correlated with the position of the source object in the factory, the acquired geometric data of the source object is converted into geometric data for mathematically modeling the object to be modeled according to the conversion relation between the geometric data of the object to be modeled and the geometric data of the source object based on the position in the factory, and the acquired statistical data of the source object is converted into statistical data for mathematically modeling the object to be modeled according to the conversion relation between the statistical data of the object to be modeled and the statistical data of the source object based on the position in the factory.

A data processing system, characterized in that the data processing system comprises:

a kinematics model simulator for obtaining a kinematics model of the source object;

an obtaining unit, configured to obtain geometric data and statistical data of the source object from the kinematics model of the source object of the kinematics model simulator according to a relationship between an object to be modeled and the source object;

a conversion unit, configured to convert the geometric data and the statistical data of the source object, which are acquired by the acquisition unit, into geometric data and statistical data for performing mathematical modeling on the object to be modeled, according to the relationship between the object to be modeled and the source object;

and the mathematical model simulator is used for performing three-dimensional mathematical modeling on the object to be modeled by using the geometric data converted by the conversion unit to obtain a three-dimensional mathematical model of the object to be modeled, and performing two-dimensional mathematical modeling on the object to be modeled by using the statistical data converted by the conversion unit to obtain a two-dimensional mathematical model of the object to be modeled.

Computer-readable storage medium, characterized in that the storage medium stores a program, wherein the method according to any of claims 1 to 7 is performed when the program is run.

A processor coupled to a memory, wherein the memory stores a program, and wherein the processor executes the program to perform the method of any of claims 1-7.

Computer program product, characterized in that the computer program product is stored on a computer-readable medium and comprises computer-executable instructions that, when executed, cause at least one processor to perform the method according to any of claims 1 to 7.

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