CN116974250A - Industrial equipment action data acquisition method and device and computer equipment - Google Patents

Industrial equipment action data acquisition method and device and computer equipment Download PDF

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Publication number
CN116974250A
CN116974250A CN202310756192.8A CN202310756192A CN116974250A CN 116974250 A CN116974250 A CN 116974250A CN 202310756192 A CN202310756192 A CN 202310756192A CN 116974250 A CN116974250 A CN 116974250A
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China
Prior art keywords
action
period
duration
historical
current
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CN202310756192.8A
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Chinese (zh)
Inventor
肖尧
陈旻琪
左志军
贺毅
席思海
陈科霖
胡静坤
伍君
钟君
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Guangdong Discrete Zhizao Technology Innovation Co ltd
Guangzhou Mino Equipment Co Ltd
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Guangdong Discrete Zhizao Technology Innovation Co ltd
Guangzhou Mino Equipment Co Ltd
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Application filed by Guangdong Discrete Zhizao Technology Innovation Co ltd, Guangzhou Mino Equipment Co Ltd filed Critical Guangdong Discrete Zhizao Technology Innovation Co ltd
Priority to CN202310756192.8A priority Critical patent/CN116974250A/en
Publication of CN116974250A publication Critical patent/CN116974250A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31282—Data acquisition, BDE MDE

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)

Abstract

The embodiment of the application provides an industrial equipment action data acquisition method, an industrial equipment action data acquisition device and computer equipment, wherein the method comprises the following steps: acquiring historical action duration and historical period duration of industrial equipment in a target action state; acquiring the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time; current motion data of the industrial equipment is collected according to the collection frequency. In the embodiment of the application, the self-adaptive change can be carried out on the acquisition frequency of the target action state in the current action period according to the historical action time and the historical cycle time in the current action period, so that the accuracy of the action data acquisition can be ensured and the excessive consumption of resources can be reduced.

Description

Industrial equipment action data acquisition method and device and computer equipment
Technical Field
The present application relates to the field of industrial data processing technologies, and in particular, to a method and an apparatus for collecting action data of an industrial device, and a computer device.
Background
In the process of industrial data acquisition, the data of various industrial equipment on a production site are changed dynamically in real time, in the application of the real-time data, the accuracy and stability of the real-time data are required to meet preset conditions at all times, in theory, the higher the frequency of data acquisition is, the higher the accuracy of the data is, but the higher the requirement on a CPU is, and the more resources are occupied.
Currently, in some data acquisition methods, the acquisition frequency is generally preset, that is, the state duration data is acquired according to the set acquisition frequency, for example, a method for calculating the state duration is to calculate the time T when the state is changed from 0 to 1 1 Time T at which the recalculation state changes from 1 to 0 2 That state duration Δt=t 2 -T 1 The method comprises the steps of carrying out a first treatment on the surface of the The higher the acquisition frequency setting, the higher the accuracy of acquisition, but if the acquisition frequency setting is smaller, the accuracy of the acquired data is reduced. Aiming at the current fixed acquisition frequency method, the problem of overlarge consumption of resources exists.
Disclosure of Invention
Based on the above, it is necessary to provide an industrial equipment action data acquisition method, an industrial equipment action data acquisition device and a computer equipment capable of adaptively adjusting the acquisition frequency of data acquisition, thereby ensuring the accuracy of acquired data and reducing the resource consumption.
In a first aspect, the application provides a method for acquiring motion data of industrial equipment. The method comprises the following steps:
acquiring a historical action duration and a historical cycle duration of industrial equipment, wherein the historical action duration is an action duration of the industrial equipment in a target action state in a historical action cycle, the historical cycle duration is a cycle duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle comprises a plurality of action states, and the target action state is any one of the plurality of action states;
Acquiring the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time;
and acquiring current motion data of the industrial equipment according to the acquisition frequency, wherein the current motion data is motion data corresponding to the target motion state in the current motion period.
In one embodiment, the obtaining, according to the historical action duration and the historical cycle duration, the collection frequency of the target action state in the current action cycle includes: according to the historical action duration and the historical period duration, respectively obtaining a predicted action duration and a predicted period duration, determining the predicted action duration as the action duration of the industrial equipment in a target action state in the current action period, and determining the predicted period duration as the period duration of the current action period; and obtaining the acquisition frequency of the target action state in the current action period according to the predicted action period and the predicted period.
In one embodiment, the obtaining, according to the historical action duration and the historical cycle duration, a predicted action duration and a predicted cycle duration respectively, determining the predicted action duration as an action duration of the industrial device in a target action state in the current action cycle, and determining the predicted cycle duration as a cycle duration of the current action cycle includes: determining an average value of a plurality of historical action durations corresponding to the historical action period as the predicted action duration; and determining an average value of a plurality of historical period durations corresponding to the historical action period as the predicted period duration.
In one embodiment, the obtaining, according to the predicted action duration and the predicted cycle duration, the collection frequency of the target action state in the current action cycle includes: acquiring a collection period of the target motion state in the current motion period according to the predicted motion period and the predicted period; the acquisition period is the maximum value divided by the predicted action time length and the predicted period time length at the same time, and the acquisition period is smaller than the predicted action time length; and obtaining the acquisition frequency based on the acquisition period.
In one embodiment, before the step of obtaining the historical action duration and the historical period duration of the industrial equipment, the method further includes: and determining the first two action periods adjacent to the current action period as the historical action period.
In one embodiment, the action state is preset with a corresponding action state identifier; the action state has corresponding action duration and cycle duration; the obtaining the historical action duration and the historical period duration of the industrial equipment comprises the following steps: acquiring a target action state identifier corresponding to the target action state; determining a target action duration matched with the target action state identifier in a plurality of action durations contained in the historical action period, and taking the target action duration as the historical action duration; and determining a target period duration matched with the target action state identifier from a plurality of period durations contained in the historical action period, and taking the target period duration as the historical period duration.
In one embodiment, after the current motion data of the industrial device is collected according to the collection frequency, the method further includes: according to the current action data, acquiring a first starting time and a first ending time of the industrial equipment in a target action state in the current action period, and acquiring a second starting time and a second ending time of the current action period; determining the time difference between the first ending time and the first starting time as the current action duration; and determining the time difference between the second ending time and the second starting time as the current period duration.
In one embodiment, the method further comprises: when the number of the historical action periods is smaller than two, acquiring the current action duration and the current period duration of the industrial equipment based on an initial acquisition frequency preset for the target action state; the current action duration is the action duration of the industrial equipment in a target action state in the current action period; the current period duration is the period duration of the current action period.
In a second aspect, the application provides an industrial equipment motion data acquisition device. The device comprises:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring historical action duration and historical cycle duration of industrial equipment, the historical action duration is action duration of the industrial equipment in a target action state in a historical action cycle, the historical cycle duration is cycle duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle comprises a plurality of action states, and the target action state is any one of the plurality of action states;
the calculation module is used for obtaining the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time;
the acquisition module is used for acquiring current motion data of the industrial equipment according to the acquisition frequency, wherein the current motion data is motion data corresponding to the target motion state in the current motion period.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Acquiring a historical action duration and a historical cycle duration of industrial equipment, wherein the historical action duration is an action duration of the industrial equipment in a target action state in a historical action cycle, the historical cycle duration is a cycle duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle comprises a plurality of action states, and the target action state is any one of the plurality of action states;
acquiring the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time;
and acquiring current motion data of the industrial equipment according to the acquisition frequency, wherein the current motion data is motion data corresponding to the target motion state in the current motion period.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a historical action duration and a historical cycle duration of industrial equipment, wherein the historical action duration is an action duration of the industrial equipment in a target action state in a historical action cycle, the historical cycle duration is a cycle duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle comprises a plurality of action states, and the target action state is any one of the plurality of action states;
Acquiring the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time;
and acquiring current motion data of the industrial equipment according to the acquisition frequency, wherein the current motion data is motion data corresponding to the target motion state in the current motion period.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring a historical action duration and a historical cycle duration of industrial equipment, wherein the historical action duration is an action duration of the industrial equipment in a target action state in a historical action cycle, the historical cycle duration is a cycle duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle comprises a plurality of action states, and the target action state is any one of the plurality of action states;
acquiring the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time;
And acquiring current motion data of the industrial equipment according to the acquisition frequency, wherein the current motion data is motion data corresponding to the target motion state in the current motion period.
In the method, the device and the computer equipment for acquiring the action data of the industrial equipment, the terminal can acquire the historical action duration of the industrial equipment in the target action state in the historical action period corresponding to the current action period and acquire the historical period duration of the historical action period; then, according to the historical action time length and the historical period time length, acquiring the frequency of the target action state in the current action period; finally, the motion data of the industrial equipment in the target motion state in the current motion period can be collected according to the collection frequency. In the embodiment of the application, the self-adaptive change can be carried out on the acquisition frequency corresponding to the target action state in the current action period according to the historical action time length and the historical cycle time length in the current action period, so that the accuracy of the action data acquisition can be ensured, and the excessive consumption of resources can be reduced.
Drawings
FIG. 1 is a schematic flow chart of a method for acquiring motion data of industrial equipment according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of obtaining a frequency of acquisition of a target motion state in a current motion period according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of acquiring a historical action duration and a historical cycle duration of an industrial device according to an embodiment of the present application;
fig. 4 is a schematic flow chart of obtaining a current action duration and a current period duration according to an embodiment of the present application;
FIG. 5A is a flowchart of another method for acquiring motion data of industrial equipment according to an embodiment of the present application;
FIG. 5B is a flowchart of another method for acquiring motion data of industrial equipment according to an embodiment of the present application;
FIG. 6 is a block diagram of an industrial equipment motion data acquisition device according to an embodiment of the present application;
fig. 7 is an internal structure diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. In one embodiment, as shown in fig. 1, an industrial equipment action data collection method is provided, and this embodiment is applied to a terminal for illustration by using the method, it is understood that the method can also be applied to a server, and can also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
Step S101, a historical action duration and a historical cycle duration of the industrial device are obtained.
The historical action duration is the action duration of the industrial equipment in a target action state in a historical action period; the historical period duration is the period duration of the historical action period.
The current action cycle may be an action cycle in which the industrial device is at the current time. The historical action cycle is an action cycle before the current action cycle, the number of action cycles included in the historical action cycle can be a preset number, the action cycle includes a plurality of action states, the target action state is any one of the plurality of action states, and the action states can be states of industrial equipment, such as a working state, a dormant state, a stop state and the like. The number of the action duration included in the historical action duration can be a preset number and can be the duration of the target action state in the historical action period; the number of cycle durations included in the historical cycle duration may be a preset number, and may be a time length of an action cycle in the historical action cycle.
The terminal can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things equipment and portable wearable equipment, and the internet of things equipment can be smart speakers, smart televisions, smart air conditioners, smart vehicle-mounted equipment and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like.
In some possible implementations, the terminal may be an industrial data collection terminal on which an industrial data collection system is mounted, where the industrial data collection system may include, but is not limited to, an industrial data monitoring module, an industrial data display module, an acquisition module, and the like. The industrial data monitoring module can monitor industrial data corresponding to different signal points of different industrial equipment; the industrial data display module can display the industrial data to be displayed meeting the preset conditions on an industrial data monitoring page, and the industrial data monitoring page can be displayed through a display screen of the terminal; the acquisition module may be used to acquire the industrial data to be displayed and some related information of the industrial data to be displayed, for example, data type information of the industrial data to be displayed, corresponding industrial equipment, corresponding signal points, and the like.
In some possible implementation manners, the industrial data to be displayed, which meets the preset conditions, can be displayed on an industrial data monitoring page to form the displayed industrial data, and based on the industrial data monitoring page, a data type identifier of the displayed industrial data can be obtained, and the data type identifier can be used for positioning a signal point corresponding to the displayed industrial data, so that industrial equipment corresponding to the displayed industrial data can be obtained. Industrial equipment is machine equipment required in actual industrial production, for example, editable logic controllers (Programmable Logic Controller, PLC), robots, numerical control machine tools, and the like; an industrial device can include a plurality of signal points, which can be variables of the industrial device terminal, which can include parameters, actions, states, and the like. A signal point can correspond to a data type identifier, a one-to-one correspondence exists, the data type identifier can be used for representing the mapping relationship between the signal point and an actual industrial service, and the signal point can be conveniently and rapidly positioned into the actual industrial service corresponding to the industrial data in the abnormal detection of the industrial data, so that the industrial data can be more accurately detected.
In the embodiment of the application, the signal point of the related industrial equipment can be a variable, the variable can be in different states, and information about the variable, such as a data type identifier, and the starting time and the ending time of the industrial equipment in the different states of the variable, can be used as industrial data to be displayed, and can be displayed through an industrial data monitoring page.
In addition, in the embodiment of the present application, the data type of the variable may include, but is not limited to, a boolean variable, a non-boolean variable, and the like. The boolean variable is a logic variable, and may include two states, namely "0" and "1". The non-boolean variable may be a continuously varying variable, such as voltage, current, temperature, etc. Taking a boolean variable as an example, a "1" may be a state of the boolean variable, the start time and end time of the state "1" may be obtained by industrial data monitoring of the page, and in one possible implementation, the absolute value of the difference between the end time and the start time may be determined as the initial state duration of the state "1".
Step S102, acquiring the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time.
In the embodiment of the application, the acquisition frequency can be adaptively changed in different action periods based on the historical action time and the historical period time; the acquisition frequency can be used for representing the speed degree of data acquisition, the larger the acquisition frequency is, the faster the data acquisition is, and the smaller the time interval between two adjacent data in the acquired data is; the smaller the acquisition frequency is, the slower the data acquisition is, and the larger the time interval between two adjacent data in the acquired data is; in some possible implementations, the acquisition frequency may be used to characterize the accuracy of data acquisition, the greater the acquisition frequency, the higher the accuracy of the acquired data, the more accurate; the smaller the acquisition frequency, the lower the acquired data precision and the accuracy at the bottom of the month.
Step S103, current action data of the industrial equipment are collected according to the collection frequency.
The current action data is action data corresponding to the target action state in the current action period.
In some possible implementations, the action data collected according to the collection frequency may be industrial data to be displayed, which accords with a preset condition, and may be displayed on an industrial data monitoring page to become displayed industrial data, based on the industrial data monitoring page, a data type identifier of the displayed industrial data may be obtained, and the data type identifier may be used to locate a signal point corresponding to the displayed industrial data, and further may also obtain industrial equipment corresponding to the displayed industrial data.
In the industrial equipment action data acquisition method, the terminal can acquire the historical action duration of the industrial equipment in the target action state in the historical action period corresponding to the current action period and acquire the historical period duration of the historical action period; then, according to the historical action time length and the historical period time length, acquiring the frequency of the target action state in the current action period; finally, the motion data of the industrial equipment in the target motion state in the current motion period can be collected according to the collection frequency. In the embodiment of the application, the self-adaptive change can be carried out on the acquisition frequency corresponding to the target action state in the current action period according to the historical action time length and the historical cycle time length in the current action period, so that the accuracy of the action data acquisition can be ensured, and the excessive consumption of resources can be reduced.
In some embodiments, as shown in fig. 2, step S102 may include:
step S201, obtaining the predicted action duration and the predicted cycle duration of the industrial equipment according to the historical action duration and the historical cycle duration, determining the predicted action duration as the action duration of the industrial equipment in the target action state in the current action cycle, and determining the predicted cycle duration as the cycle duration of the current action cycle.
The predicted action duration may be a duration of the target action state in the current action period calculated based on the historical action duration, and is not calculated based on the collected action data of the target action state, for example, a start time and an end time of the target action state in the current action period. The predicted cycle duration may be a time length of the current action cycle calculated based on the historical cycle duration, and is not calculated based on the collected action data of the target action state, for example, a real time and an end time of the current action cycle.
Step S202, acquiring the acquisition frequency of the target action state in the current action period according to the predicted action period and the predicted period.
In the method provided by the invention, the self-adaptive change can be carried out on the acquisition frequency corresponding to the target action state in the current action period according to the historical action time and the historical cycle time in different action periods, and the colleague who ensures the accuracy of data acquisition can also reduce the excessive consumption of resources.
Further, step S201 may include:
determining an average value of a plurality of historical action time lengths corresponding to the historical action period as a predicted action time length; and determining an average value of a plurality of historical period durations corresponding to the historical action period as a predicted period duration.
In some possible implementations, the number of historical motion periods is a preset number. The preset number may be set in actual industrial production based on industrial equipment, and may include, for example, but not limited to, less than two, more than two, and the like.
The number of the plurality of historical action durations corresponding to the historical action period can be a preset number, and the target action state has corresponding action durations in each action period in the historical action period; the number of the plurality of history period durations corresponding to the history action period may be a preset number. The preset number is discussed in terms of:
when the preset number is two, in this case, the preset number is 2, and the number of the historical action periods is 2, namely, the previous action period and the previous two action periods of the current action period, wherein the target action state respectively has a corresponding action duration in the previous action period and the previous two action periods of the current action period, and can be a first action duration and a second action duration; in some possible implementations, an average of the first and second action durations may be determined as the predicted action duration. Similarly, the 2 historical action periods correspond to two historical period durations, which may be a first period duration and a second period duration, and in some possible implementations, an average of the first period duration and the second period duration may be determined as the predicted period duration.
When the preset number exceeds two, in this case, two action periods adjacent to the current action period are selected, that is, the previous action period and the previous two action periods of the current action period, and the predicted action period and the predicted period of the current action period are obtained based on the two action periods.
When the preset number is less than two, in this case, the acquisition frequency of the target motion state in the current motion period cannot be obtained according to the historical motion period and the historical period, and at this time, the initial acquisition frequency can be preset based on a large amount of experience data of the industrial equipment in the target motion state in actual industrial production; therefore, the motion data of the industrial equipment in the target motion state in the current motion period can be acquired according to the initial acquisition frequency, then the first starting time and the first ending time of the industrial equipment in the target motion state in the current motion period can be acquired according to the motion data, the second starting time and the second ending time of the current motion period are acquired, and the difference value between the first ending time and the first starting time is taken as the current motion duration; and taking the difference value between the second ending time and the second starting time as the current period duration. According to the method, the predicted action duration and the predicted cycle duration corresponding to the action cycle can be obtained more accurately in different action cycles according to the historical action duration and the historical cycle duration, so that the self-adaptive change of the acquisition frequency corresponding to the target action state in the current action cycle can be realized, the accuracy of data acquisition is ensured, and the excessive consumption of resources can be reduced.
In some embodiments, step S202 may include:
acquiring a collection period of the target action state in the current action period according to the predicted action period and the predicted period; the acquisition period is the maximum value divided by the predicted action time length and the predicted period time length at the same time, and the acquisition period is smaller than the predicted action time length; based on the acquisition period, the acquisition frequency is obtained.
In some possible implementations, the predicted action duration and the predicted cycle duration may be used to calculate a collection cycle applicable to the target action state in the current action cycle; the acquisition period is the time interval between two adjacent times of data acquisition aiming at the target action state in the current action period; in general, in order to ensure accuracy in the data acquisition process, the acquisition period needs to be less than the predicted action duration; it should be appreciated that the predicted action duration is less than the predicted cycle duration; after obtaining the self-adaptive acquisition period of the target motion state in the current motion period, the inverse of the acquisition period can be determined as the self-adaptive acquisition frequency of the target motion state in the current motion period.
In the method provided by the invention, the adaptive change of the acquisition frequency corresponding to the target action state in the current action period can be realized according to the predicted action time length and the predicted cycle time length in different action periods, and the colleague who ensures the accuracy of data acquisition can also reduce the excessive consumption of resources.
In some embodiments, the method for acquiring action data of industrial equipment provided by the embodiment of the application may further include:
the first two motion periods adjacent to the current motion period are determined as historical motion periods.
In some embodiments, as shown in fig. 3, step S101 may include:
step S301, a target action state identifier corresponding to the target action state is acquired.
The historical action period is an action period before the current action period, the number of the historical action periods is a preset number, the action period comprises a plurality of action states, and the target action state is any one of the action states. In addition, the operation state is preset with a corresponding operation state identifier, which may be identification information of the corresponding operation state, for distinguishing different operation states, and may be, but not limited to, a data type identifier, data type information, etc. of the operation state, where the operation state identifier and the operation state have a one-to-one correspondence. The target motion state may be determined among a plurality of motion states included in the historical motion cycle, and a target motion state identifier corresponding to the target motion state may be obtained, and the target motion state identifier may be used to locate to the target motion state among the plurality of motion states.
Step S302, determining a target action duration matched with the target action state identifier in a plurality of action durations contained in the historical action period, and taking the target action duration as the historical action duration.
Step S303, determining a target period duration matched with the target action state identifier in a plurality of period durations contained in the historical action period, and taking the target period duration as the historical period duration.
The action cycle comprises a plurality of action states, the plurality of action states have corresponding action time and cycle time, and the action time and the cycle time have corresponding relations with the action state identification, so that the historical action cycle can comprise a plurality of action time and a plurality of cycle time, the historical action time matched with the target action state can be determined in the plurality of action time contained in the historical action cycle according to the target action state identification, and the historical cycle time matched with the target action state is determined in the plurality of cycle time contained in the historical action cycle.
In the method provided by the invention, the historical action duration of the target action state in the historical action period and the historical period duration of the historical action period can be acquired more accurately.
In some embodiments, as shown in fig. 4, after collecting current motion data of the industrial device at the collection frequency, the method may further comprise:
step S401, according to the current action data, acquiring a first starting time and a first ending time of the industrial equipment in a target action state in the current action period, and acquiring a second starting time and a second ending time of the current action period.
The first starting time may be a time when the industrial equipment jumps from another action state to a target action state; the first end time may be a time at which the industrial device jumps from the target action state to another action state. Similarly, the second start time may be a time when the industrial device is operated from a previous action cycle to a current action cycle; the second end time may be a time at which the industrial device is running from the current action cycle to a subsequent action cycle; the previous action cycle may be a previous action cycle adjacent to the current action cycle; the latter action cycle may be a next action cycle adjacent to the current action cycle.
In step S402, a time difference between the first ending time and the first starting time is determined as the current action duration.
Step S403, determining the time difference between the second ending time and the second starting time as the current period duration.
The current action time length and the current period time length are obtained based on the acquisition frequency corresponding to the target action state in the current action period, and the action data of the industrial equipment in the target action state in the current action period is acquired according to the acquisition frequency and then calculated based on the action data. In contrast, the predicted action duration and the predicted period duration are calculated based on the historical action duration and the historical period duration of the industrial equipment in the target action state in the historical action period corresponding to the current action period.
According to the method, the current action duration and the current period duration of the industrial equipment in the target action state in the current action period can be obtained in real time based on the action data, and the corrected more accurate action duration and period duration can be obtained.
In some embodiments, the method for acquiring action data of industrial equipment provided by the embodiment of the application may further include:
And when the number of the historical action periods is smaller than two, acquiring the current action duration and the current period duration of the industrial equipment based on the initial acquisition frequency preset for the target action state.
The current action time is the action time of the industrial equipment in the target action state in the current action period; the current period duration is the period duration of the current action period.
Taking the case that the current action period does not have a historical action period as an example for explanation, in this case, the acquisition frequency of the target action state in the current action period cannot be obtained according to the historical action period and the historical period, and at this time, the initial acquisition frequency can be preset based on a large amount of experience data of the industrial equipment in the target action state in actual industrial production; therefore, the motion data of the industrial equipment in the target motion state in the current motion period can be acquired according to the initial acquisition frequency, then the first starting time and the first ending time of the industrial equipment in the target motion state in the current motion period can be acquired according to the motion data, the second starting time and the second ending time of the current motion period are acquired, and the difference value between the first ending time and the first starting time is taken as the current motion duration; and taking the difference value between the second ending time and the second starting time as the current period duration.
In the method provided by the application, under the condition that the historical action period does not exist in the current action period, the current action time length and the current period time length of the industrial equipment in the target action state in the current action period can be obtained, so that the industrial equipment action data acquisition method provided by the embodiment of the application has universality.
In one embodiment, as shown in fig. 5A, another method for collecting industrial equipment motion data is provided, which may include:
in step S501, the first two motion periods adjacent to the current motion period are determined as history motion periods.
The current action cycle may be an action cycle in which the industrial device is located at the current time. The historical action period is an action period before the current action period, the number of the action periods contained in the historical action period can be a preset number, the action period contains a plurality of action states, and the action states can be working states of industrial equipment.
Step S502, a target action state identifier corresponding to the target action state is obtained.
Wherein the target action state is any one of a plurality of action states. In addition, each action state is preset with a corresponding action state identifier, and the action state identifier may be identification information of a corresponding action state, which is used for distinguishing different action states, and may be, but not limited to, a data type identifier, data type information and the like of the action state, where the action state identifier and the action state have a one-to-one correspondence. The target motion state may be determined among a plurality of motion states included in the historical motion cycle, and a target motion state identifier corresponding to the target motion state may be obtained, and the target motion state identifier may be used to locate to the target motion state among the plurality of motion states.
Step S503, according to the target action state identifier, determining a historical action duration matching the target action state from a plurality of action durations included in the historical action cycle, and determining a historical cycle duration matching the target action state from a plurality of cycle durations included in the historical action cycle.
The number of the action duration included in the historical action duration can be a preset number and can be the duration of the target action state in the historical action period; the number of cycle durations included in the historical cycle duration may be a preset number, and may be a time length of an action cycle in the historical action cycle.
The action cycle comprises a plurality of action states, the plurality of action states have corresponding action time and cycle time, and the action time and the cycle time have corresponding relations with the action state identification, so that the historical action cycle can comprise a plurality of action time and a plurality of cycle time, the historical action time matched with the target action state can be determined in the plurality of action time contained in the historical action cycle according to the target action state identification, and the historical cycle time matched with the target action state is determined in the plurality of cycle time contained in the historical action cycle.
Step S504, determining an average value of a plurality of historical motion durations corresponding to the historical motion periods as a predicted motion duration.
Wherein, the number of the historical action cycles is a preset number.
The predicted action duration may be a duration of the target action state in the current action period calculated based on the historical action duration, and is not calculated based on the collected action data of the target action state, for example, a start time and an end time of the target action state in the current action period. The predicted cycle duration may be a time length of the current action cycle calculated based on the historical cycle duration, and is not calculated based on the collected action data of the target action state, for example, a real time and an end time of the current action cycle.
In step S505, an average value of a plurality of historical period durations corresponding to the historical motion periods is determined as the predicted period duration.
Step S506, acquiring a collection period of the target motion state in the current motion period according to the predicted motion period and the predicted period.
The collection period is the maximum value divided by the predicted action time length and the predicted period time length at the same time, and the collection period is smaller than the predicted action time length. In some possible implementations, the predicted action duration and the predicted cycle duration may be used to calculate an acquisition cycle applicable to the target action state within the current action cycle; the acquisition period is the time interval between two adjacent times of data acquisition aiming at the target action state in the current action period; in general, in order to ensure accuracy in the data acquisition process, the acquisition period needs to be less than the predicted action duration; it should be appreciated that the predicted action duration is less than the predicted cycle duration;
Step S507, obtaining the acquisition frequency based on the acquisition period.
After obtaining the self-adaptive acquisition period of the target motion state in the current motion period, the inverse of the acquisition period can be determined as the self-adaptive acquisition frequency of the target motion state in the current motion period.
Step S508, current action data of the industrial equipment are collected according to the collection frequency.
In some possible implementations, the action data collected according to the collection frequency may be industrial data to be displayed, which accords with a preset condition, and may be displayed on an industrial data monitoring page to become displayed industrial data, based on the industrial data monitoring page, a data type identifier of the displayed industrial data may be obtained, and the data type identifier may be used to locate a signal point corresponding to the displayed industrial data, and further may also obtain industrial equipment corresponding to the displayed industrial data.
Step S509, according to the current motion data, obtains a first start time and a first end time of the industrial device in the target motion state in the current motion period, and obtains a second start time and a second end time of the current motion period.
The first starting time may be a time when the industrial equipment jumps from another action state to a target action state; the first end time may be a time at which the industrial device jumps from the target action state to another action state. Similarly, the second start time may be a time when the industrial device is operated from a previous action cycle to a current action cycle; the second end time may be a time at which the industrial device is running from the current action cycle to a subsequent action cycle; the previous action cycle may be a previous action cycle adjacent to the current action cycle; the latter action cycle may be a next action cycle adjacent to the current action cycle.
In step S510, it is determined that the time difference between the first ending time and the first starting time is the current action duration.
In step S511, the time difference between the second ending time and the second starting time is determined as the current period duration.
In the industrial equipment action data acquisition method, the terminal can acquire the historical action duration of the industrial equipment in the target action state and the historical cycle duration of the historical action cycle; then, according to the historical action time length and the historical period time length, acquiring the corresponding acquisition frequency of the target action state in the current action period; finally, current motion data of the industrial equipment can be acquired according to the acquisition frequency. In the embodiment of the application, the self-adaptive change can be carried out on the acquisition frequency of the target action state in the current action period according to the historical action time and the historical cycle time in the current action period, so that the accuracy of the action data acquisition can be ensured and the excessive consumption of resources can be reduced.
In one embodiment, as shown in fig. 5B, there is provided yet another industrial equipment motion data collection method, which may include:
1. a plurality of operational states of the industrial device are acquired.
(1) The series of actions of the production line are performed according to a certain set circulation rule, and it is assumed that all actions of the production process of one production line are Action [1], action [2], action [3],. The term, action [ n ], and each Action corresponds to one signal ID [1], ID [2],.
2. And acquiring the action duration of each action state in the plurality of action states and the cycle duration of the historical action period in the historical action period corresponding to the current action period of the industrial equipment at the preset initial acquisition frequency.
The initial acquisition frequency is set firstly, the acquisition period T (the reciprocal of the acquisition frequency) is far smaller than the action duration and the action cycle period, and the action duration T of each action can be obtained A1 ，T A2 ，T A3 ，...，T An The method comprises the steps of carrying out a first treatment on the surface of the Period duration T of each action S1 ，T S2 ，T S3 ，...，T Sn The method comprises the steps of carrying out a first treatment on the surface of the When each signal is received, the data acquisition end records the T corresponding to each ID A And T S The value, the acquisition frequency of each motion after the start of the next cycle will be adaptively changed as follows.
Wherein the acquisition period can be operated for a period of time T A Integer divisor, also by period duration T S The whole division can ensure that the time and the time of the collected action time length data are relatively accurate and the error is as small as possible, so that T should take energy and be simultaneously taken by T A And T S The maximum value of the integer division ensures the accuracy of data acquisition and also ensures the avoidance of resource consumption caused by frequent acquisition.
3. Recording a last action cycle and a T of the last action cycle corresponding to each action state in the plurality of action states A And T S The value, the acquisition frequency of each motion after the start of the next motion cycle will be adaptively changed as follows. Respectively taking T of the last action period and the last action period A And T S Averaging to obtain a new T A And T S Then the acquisition frequency is adaptively transformed into a new T A And T S And simultaneously dividing the maximum value.
4. And 3, repeating the step 3 in each action cycle, wherein each cycle is a self-correction process of data acquisition, and simultaneously, the self-adaptive acquisition frequency can ensure the accuracy of data acquisition on the premise of saving resources as much as possible.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides an industrial equipment action data acquisition device for realizing the industrial equipment action data acquisition method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the device for collecting motion data of one or more industrial devices provided below may refer to the limitation of the method for collecting motion data of an industrial device hereinabove, and will not be repeated herein.
In one embodiment, as shown in fig. 6, there is provided an industrial equipment motion data acquisition device, comprising: an acquisition module 610, a calculation module 620, and an acquisition module 630, wherein:
the obtaining module 610 is configured to obtain a historical action duration and a historical cycle duration of the industrial device, where the historical action duration is an action duration of the industrial device in a target action state in a historical action cycle, the historical cycle duration is a cycle duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle includes a plurality of action states, and the target action state is any one of the plurality of action states;
The calculating module 620 is configured to obtain a frequency of acquiring the target motion state in the current motion cycle according to the historical motion duration and the historical cycle duration;
the collection module 630 is configured to collect current motion data of the industrial device according to the collection frequency.
In some embodiments, the computing module 620 is further configured to: according to the historical action duration and the historical period duration, the predicted action duration and the predicted period duration of the industrial equipment are obtained, the predicted action duration is determined to be the action duration of the industrial equipment in the target action state in the current action period, and the predicted period duration is determined to be the period duration of the current action period. And acquiring the acquisition frequency of the target action state in the current action period according to the predicted action time and the predicted period time.
In some embodiments, the computing module 620 is further configured to: determining an average value of a plurality of historical action time lengths corresponding to the historical action period as a predicted action time length; and determining an average value of a plurality of historical period durations corresponding to the historical action period as a predicted period duration.
In some embodiments, the computing module 620 is further configured to: acquiring a collection period of the target action state in the current action period according to the predicted action period and the predicted period; the acquisition period is the maximum value divided by the predicted action time length and the predicted period time length at the same time, and the acquisition period is smaller than the predicted action time length; based on the acquisition period, the acquisition frequency is obtained.
In some embodiments, the obtaining module 610 is further configured to: and determining the action cycle of the preset number before the current action cycle as a historical action cycle.
In some embodiments, the obtaining module 610 is further configured to: acquiring a target action state identifier corresponding to the target action state; determining a target action duration matched with the target action state identifier in a plurality of action durations contained in the historical action period, and taking the target action duration as the historical action duration; and determining a target period duration matched with the target action state identifier in a plurality of period durations contained in the historical action period, and taking the target period duration as the historical period duration.
In some embodiments, the acquisition module 630 is further configured to: according to the current action data, acquiring a first starting time and a first ending time of the industrial equipment in a target action state in a current action period, and acquiring a second starting time and a second ending time of the current action period; determining the time difference between the first ending time and the first starting time as the current action duration; and determining the time difference between the second ending time and the second starting time as the current period duration.
In some embodiments, the computing module 620 is further configured to: when the number of the historical action periods is smaller than the preset number, acquiring the current action duration and the current period duration of the industrial equipment based on an initial acquisition frequency preset for the target action state; the current action time length is the action time length of the industrial equipment in the target action state in the current action period; the current period duration is the period duration of the current action period.
The above-mentioned various modules in the industrial equipment action data acquisition device can be implemented in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program, when executed by a processor, implements a method of industrial equipment motion data collection. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims (12)

1. A method for acquiring motion data of an industrial device, the method comprising:
acquiring historical action duration and historical cycle duration of industrial equipment, wherein the historical action duration is action duration of the industrial equipment in a target action state in a historical action cycle, the historical cycle duration is duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle comprises a plurality of action states, and the target action state is any one of the plurality of action states;
Acquiring the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time;
and acquiring current motion data of the industrial equipment according to the acquisition frequency, wherein the current motion data is motion data corresponding to the target motion state in the current motion period.
2. The method according to claim 1, wherein the obtaining the collection frequency of the target motion state in the current motion cycle according to the historical motion time and the historical period time includes:
according to the historical action duration and the historical period duration, respectively obtaining a predicted action duration and a predicted period duration, determining the predicted action duration as the action duration of the industrial equipment in a target action state in the current action period, and determining the predicted period duration as the period duration of the current action period;
and obtaining the acquisition frequency of the target action state in the current action period according to the predicted action period and the predicted period.
3. The method according to claim 2, wherein the obtaining a predicted action duration and a predicted cycle duration from the historical action duration and the historical cycle duration, respectively, determining the predicted action duration as an action duration of the industrial device in a target action state in the current action cycle, and determining the predicted cycle duration as a cycle duration of the current action cycle, comprises:
Determining an average value of a plurality of historical action durations corresponding to the historical action period as the predicted action duration;
and determining an average value of a plurality of historical period durations corresponding to the historical action period as the predicted period duration.
4. The method according to claim 2, wherein the obtaining the collection frequency of the target motion state in the current motion period according to the predicted motion period and the predicted period includes:
acquiring a collection period of the target motion state in the current motion period according to the predicted motion period and the predicted period; the acquisition period is the maximum value divided by the predicted action time length and the predicted period time length at the same time, and the acquisition period is smaller than the predicted action time length;
and obtaining the acquisition frequency based on the acquisition period.
5. The method of claim 1, wherein the number of historical motion cycles is a preset number; before the step of acquiring the historical action duration and the historical period duration of the industrial equipment, the method further comprises the following steps:
and determining the first two action periods adjacent to the current action period as the historical action period.
6. The method according to claim 1, wherein the action state is preset with a corresponding action state identifier; the action state has corresponding action duration and cycle duration; the obtaining the historical action duration and the historical period duration of the industrial equipment comprises the following steps:
acquiring a target action state identifier corresponding to the target action state;
determining a target action duration matched with the target action state identifier in a plurality of action durations contained in the historical action period, and taking the target action duration as the historical action duration;
and determining a target period duration matched with the target action state identifier from a plurality of period durations contained in the historical action period, and taking the target period duration as the historical period duration.
7. The method of claim 1, wherein after the collecting the current motion data of the industrial device at the collection frequency, further comprising:
according to the current action data, acquiring a first starting time and a first ending time of the industrial equipment in a target action state in the current action period, and acquiring a second starting time and a second ending time of the current action period;
Determining the time difference between the first ending time and the first starting time as the current action duration;
and determining the time difference between the second ending time and the second starting time as the current period duration.
8. The method according to claim 1, wherein the method further comprises:
when the number of the historical action periods is smaller than two, acquiring the current action duration and the current period duration of the industrial equipment based on an initial acquisition frequency preset for the target action state; the current action duration is the duration of the industrial equipment in a target action state in the current action period; the current period duration is the period duration of the current action period.
9. An industrial equipment motion data acquisition device, the device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring historical action duration and historical cycle duration of industrial equipment, the historical action duration is action duration of the industrial equipment in a target action state in a historical action cycle, the historical cycle duration is cycle duration of the historical action cycle, the historical action cycle is an action cycle before a current action cycle, the action cycle comprises a plurality of action states, and the target action state is any one of the plurality of action states;
The calculation module is used for obtaining the acquisition frequency of the target action state in the current action period according to the historical action time and the historical period time;
the acquisition module is used for acquiring current motion data of the industrial equipment according to the acquisition frequency, wherein the current motion data is motion data corresponding to the target motion state in the current motion period.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1-8 when the computer program is executed.
11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-8.
12. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1-8.
CN202310756192.8A 2023-06-25 2023-06-25 Industrial equipment action data acquisition method and device and computer equipment Pending CN116974250A (en)

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