CN116405532B - Industrial control and automation method and device based on Internet of things and electronic equipment - Google Patents
Industrial control and automation method and device based on Internet of things and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
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- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/30—Control
- G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application discloses an industrial control and automation method, device and electronic equipment based on the Internet of things, wherein the method can be applied to a control system and comprises the following steps: acquiring first acquisition data and first acquisition time through a first group of Internet of things sensor assemblies, and determining first analysis data; acquiring second acquisition data and second acquisition time through a second group of Internet of things sensor assemblies, and determining second analysis data; acquiring third acquisition data and third acquisition time through an Internet of things camera shooting assembly, and determining third analysis data; according to the alignment strategy of the first analysis data, the second analysis data and the third analysis data, performing time adjustment and/or data adjustment on at least one of the first analysis data, the second analysis data or the third analysis data, performing consistency analysis, and determining an analysis result; and outputting a control instruction to an Internet of things control component of the industrial area according to the analysis result.
Description
Technical Field
The application relates to the technical field of computers, in particular to an industrial control and automation method, device and electronic equipment based on the internet of things.
Background
The internet of things (Internet of Things, ioT) refers to collecting any object or process needing to be monitored, connected and interacted in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, collecting various needed information such as sound, light, heat, electricity, mechanics, chemistry, biology and positions, and realizing ubiquitous connection of objects and people through various possible network access, thereby realizing intelligent perception, identification and management of objects and processes.
In the existing industrial scenario, each industrial device has its own sensor assembly for detection and control, but often users add some external sensor assemblies to the industrial device for repeated detection, control, and additional detection and control.
However, the small difference in data transmission between the external sensor and the internal sensor may result in a large difference in data transmitted to the control system, resulting in inaccurate final analysis results.
Disclosure of Invention
The application provides an industrial control and automation method, device and electronic equipment based on the Internet of things, which are used for improving the accuracy of analysis results and facilitating the management of the equipment.
In order to solve the technical problems, the application is realized as follows:
in a first aspect, the present application provides an industrial control and automation method based on the internet of things, applied to a control system, the method comprising: acquiring first acquisition data and first acquisition time in an industrial area through a first group of Internet of things sensor assemblies, and performing first analysis to determine first analysis data corresponding to a first time period; acquiring second acquisition data and second acquisition time in the industrial area through a second group of Internet of things sensor assemblies, and performing second analysis to determine second analysis data corresponding to the first time period; acquiring third acquisition data and third acquisition time in the industrial area through the Internet of things camera component, and performing third analysis to determine third analysis data corresponding to the first time period; according to the alignment strategy of the first analysis data, the second analysis data and the third analysis data, performing time adjustment and/or data adjustment on at least one of the first analysis data, the second analysis data or the third analysis data, performing consistency analysis, and determining an analysis result; and outputting a control instruction to the Internet of things control component of the industrial area according to the analysis result, and managing the Internet of things control component of the industrial area.
Further, the performing the consistency analysis to determine an analysis result includes: determining a data difference amount based on the aligned first analysis data, second analysis data, and third analysis data; and when the data difference exceeds a preset threshold, an alarm is sent out.
Further, the alignment policy includes a plurality of alignment schemes including a standard alignment scheme and a fluctuation alignment scheme determined based on the standard alignment scheme and the offset, and the analysis result is determined according to at least one of the plurality of alignment schemes; after alignment of the first analysis data, the second analysis data, and the third analysis data according to the standard alignment scheme or the wave alignment scheme, the determining the data difference amount based on the aligned first analysis data, second analysis data, and third analysis data includes: determining a first difference amount based on the aligned first analysis data and second analysis data; determining a second amount of difference based on the aligned first and third analysis data; determining a third difference amount based on the aligned second analysis data and third analysis data; and determining the data difference according to the weight information corresponding to each difference.
Further, the method further comprises: when the data difference exceeds the adjustment threshold and is smaller than the preset threshold, sending out adjustment prompt information; according to the first feedback information, if the difference exists, updating an alignment strategy; and according to the second feedback information, testing whether the difference is corrected, and sending a correction success prompt when the difference is corrected.
Further, the first and second sets of internet of things sensor assemblies are sensor assemblies of different dimensions, the first set of internet of things sensor assemblies including sensor assemblies carried by industrial equipment within an industrial area, and the second set of internet of things sensor assemblies including sensor assemblies configured for the industrial equipment for detection.
Further, the process of performing time adjustment to perform consistency analysis includes: the method comprises the steps of sending the same random number to a first group of internet of things sensor assemblies, a second group of internet of things sensor assemblies and an internet of things camera assembly for detecting the same target object, so that the random number is added to detected data, the random number difference corresponding to different target objects is larger than a lower limit threshold value, and the random number is smaller than an upper limit threshold value; adjusting first analysis data of a target object into a data sequence A (m1+p, j 1), wherein m1 is data, j1 is a first time offset, and p is a random number; recording second analysis data of the target object as a data sequence B (m2+p, j 2), wherein m2 is data, and j2 is a second time offset; recording third analysis data of the target object as a data sequence C (m3+p, j 3), wherein m3 is data and j3 is a third time offset; determining whether S (a (m1+p, j 1), B (m2+p, j 2), C (m3+p, j 3)) < E is true or not to determine data consistency, wherein an S function is used to determine the amount of difference between data, and E is a preset threshold.
Further, the acquiring, by the camera component of the internet of things, third acquisition data and third acquisition time in the industrial area, and performing third analysis, determining third analysis data corresponding to the first time period, includes: acquiring control image data corresponding to an industrial area; comparing the third acquired data with the control image data to determine image difference information; and determining third analysis data corresponding to the first time period according to the image difference information and the third acquisition time.
Further, the comparing the third acquired data with the control image data to determine image difference information includes: acquiring angle information of an Internet of things camera shooting assembly, and determining angle difference between the angle information and original angle information; and adjusting the third acquired data according to the angle difference and the spatial position information of the camera shooting assembly of the Internet of things, comparing the adjusted third acquired data with the comparison image data, and determining the image difference information to determine the third acquired data.
In a second aspect, the present application provides an industrial control and automation device based on the internet of things, which is characterized in that the device comprises: the first data acquisition module is used for acquiring first acquisition data and first acquisition time in the industrial area through the first group of Internet of things sensor assemblies, performing first analysis and determining first analysis data corresponding to a first time period; the second data acquisition module is used for acquiring second acquisition data and second acquisition time in the industrial area through a second group of internet of things sensor assemblies, performing second analysis and determining second analysis data corresponding to the first time period; the third data acquisition module is used for acquiring third acquisition data and third acquisition time in the industrial area through the Internet of things camera shooting assembly, and performing third analysis to determine third analysis data corresponding to the first time period; the analysis result acquisition module is used for carrying out time adjustment and/or data adjustment on at least one of the first analysis data, the second analysis data or the third analysis data according to an alignment strategy of the first analysis data, the second analysis data and the third analysis data, carrying out consistency analysis and determining an analysis result; and the control instruction output module is used for outputting a control instruction to the Internet of things control assembly of the industrial area according to the analysis result and managing the Internet of things control assembly of the industrial area.
In a third aspect, the present application provides an electronic device, comprising: a memory and at least one processor; the memory is used for storing computer execution instructions; the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method according to the first aspect.
The application provides an industrial control and automation method based on the Internet of things, which is applied to a control system, and comprises the following steps: acquiring first acquisition data and first acquisition time in an industrial area through a first group of Internet of things sensor assemblies, and performing first analysis to determine first analysis data corresponding to a first time period; acquiring second acquisition data and second acquisition time in the industrial area through a second group of Internet of things sensor assemblies, and performing second analysis to determine second analysis data corresponding to the first time period; acquiring third acquisition data and third acquisition time in the industrial area through the Internet of things camera component, and performing third analysis to determine third analysis data corresponding to the first time period; according to the alignment strategy of the first analysis data, the second analysis data and the third analysis data, performing time adjustment and/or data adjustment on at least one of the first analysis data, the second analysis data or the third analysis data, performing consistency analysis, and determining an analysis result; and outputting a control instruction to the Internet of things control component of the industrial area according to the analysis result, and managing the Internet of things control component of the industrial area.
According to the application, related first group of sensors of the Internet of things, second group of sensors of the Internet of things and imaging assemblies of the Internet of things can be arranged for industrial equipment in an industrial area, information is acquired, acquired data are analyzed to obtain first analysis data, second analysis data and third analysis data, then, according to corresponding data alignment strategies, the time and data values of the data are adjusted, so that the data are aligned, and according to the aligned data, consistency analysis is carried out, an analysis result is determined, and a control instruction is sent to an Internet of things control assembly according to the analysis result, so that the equipment is managed. In the solution of the present application, the first group of the internet of things sensor assemblies and the second group of the internet of things sensor assemblies are sensor assemblies with different dimensions, preferably, the first group of the internet of things sensor assemblies includes sensor assemblies carried by industrial equipment in an industrial area, and the second group of the internet of things sensor assemblies includes sensor assemblies configured for the industrial equipment for detection. Obviously, the data acquisition mode of the internet of things camera component and the first group of internet of things sensors and the second group of internet of things sensors is not the same dimension, so that the scheme can acquire data from a plurality of different dimensions, and compare the data after the data are aligned according to the time and the data alignment mode.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of an industrial control and automation method based on the Internet of things according to an embodiment of the application;
FIG. 2 is a schematic diagram illustrating steps of an industrial control and automation method based on the Internet of things according to another embodiment of the present application;
fig. 3 is a schematic structural diagram of an industrial control and automation device based on the internet of things according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The embodiment of the application can be applied to the scene of detecting and managing the industrial equipment in the industrial area, and as shown in fig. 1, the embodiment of the application can set a related first group of the sensor assemblies of the internet of things, a related second group of the sensor assemblies of the internet of things and a related camera assembly of the internet of things for the industrial equipment in the industrial area and acquire information. The method can be applied to a control system (or a control center), the control center can interact with the Internet of things components with multiple dimensions to acquire collected data, then the collected data are analyzed to obtain first analysis data, second analysis data and third analysis data, then the time and the data value of the data are adjusted according to corresponding data alignment strategies, so that the data are aligned, consistency analysis is carried out according to the aligned data, an analysis result is determined, and a control instruction is sent to the Internet of things control component according to the analysis result, so that equipment is managed.
According to the application, a plurality of groups of sensors with different dimensions are arranged for data acquisition, and time information is needed to be carried when each sensor group uploads data, so that time and data are aligned, and consistency analysis is performed, and the accuracy of analysis results is improved, so that industrial equipment in an industrial area is better controlled. The time alignment can be determined according to an alignment scheme of historical data, and the data processing can be determined according to the difference between the current state and the original state of each sensor group. For example, the original angle of the camera is 0 degrees, and the angle of the camera after moving is 10 degrees. So that data adjustment can be performed according to the corresponding difference.
The embodiment of the application provides an industrial control and automation method based on the Internet of things, as shown in fig. 2, comprising the following steps:
step 202, acquiring first acquisition data and first acquisition time in an industrial area through a first group of internet of things sensor assemblies, and performing first analysis to determine first analysis data corresponding to a first time period;
step 204, acquiring second acquisition data and second acquisition time in the industrial area through a second group of internet of things sensor assemblies, and performing second analysis to determine second analysis data corresponding to the first time period. Specifically, as an alternative embodiment, the first group of the internet of things sensor assemblies and the second group of the internet of things sensor assemblies are sensor assemblies with different dimensions, the first group of the internet of things sensor assemblies comprises sensor assemblies carried by industrial equipment in an industrial area, and the second group of the internet of things sensor assemblies comprises sensor assemblies configured for the industrial equipment for detection. The sensors carried by the equipment are accurate in general transmission time and free of larger errors, and the sensors of the second group of the Internet of things possibly adopt a wireless transmission mode, and can be influenced by network influences and equipment working states, so that data transmission errors are caused. The application aligns the data through subsequent time adjustment and data adjustment; the first set of internet of things sensor assemblies may also be referred to as a first set of internet of things sensors and the second set of internet of things sensor assemblies may also be referred to as a second set of internet of things sensor assemblies.
Step 206, acquiring third acquisition data and third acquisition time in the industrial area through the Internet of things camera component, and performing third analysis to determine third analysis data corresponding to the first time period. The internet of things camera shooting assembly and the first group of internet of things sensors and the second group of internet of things sensors are not data acquisition modes of the same dimension, so that data can be acquired from a plurality of different dimensions, comparison is carried out after alignment according to the time and data alignment modes, false alarm can not occur when the sensor assembly of one dimension fails, accuracy of analysis results is improved, and industrial equipment in an industrial area is controlled better. The data detected in different dimensions may be position detection data of the article on the conveyor belt, and may be captured by a camera or may be detected by a sensor such as a distance sensor or a pressure sensor.
In the existing scheme, after image data is collected, an image analysis model is generally adopted to identify images, such as intelligent image recognition, so that people, scenes and the like in the images can be identified. In the scheme of the application, a comparison image can be preset, wherein the comparison image is an image of the normal working process of the industrial equipment, can be a single image or a plurality of images, and can be continuous or discontinuous. Therefore, according to the difference between the control image and the acquired image, specifically, as an optional embodiment, the acquiring, by the imaging component of the internet of things, third acquired data and third acquired time in the industrial area, and performing third analysis, determining third analysis data corresponding to the first time period includes: acquiring control image data corresponding to an industrial area; comparing the third acquired data with the control image data to determine image difference information; and determining third analysis data corresponding to the first time period according to the image difference information and the third acquisition time. For industrial equipment, the working process is repeated, and the difference is small, so that the acquired image is compared with the control image to determine the image difference, and historical third analysis data (or preset standard third analysis data) is subjected to fine adjustment according to the image difference to determine the third analysis data. The control image may be either manually uploaded or manually selected.
In addition, the camera assembly may move during the working process, so that the camera assembly can upload angle information to the control center when moving, and then adjust the data to be analyzed in the control center according to the angle difference, so as to compare according to the adjusted image, and determine a third analysis result. Specifically, as an optional embodiment, comparing the third collected data with the control image data to determine the image difference information includes: acquiring angle information of an Internet of things camera shooting assembly, and determining angle difference between the angle information and original angle information; and adjusting the third acquired data according to the angle difference and the spatial position information of the camera shooting assembly of the Internet of things, comparing the adjusted third acquired data with the comparison image data, and determining the image difference information to determine the third acquired data. After the angle of the imaging component of the internet of things is adjusted, the image shot by the imaging component and the contrast image have differences, so that the angle differences can be utilized to adjust the object in the shot image, and the object is compared according to the adjusted image, so that a third analysis result is determined. In addition, the application can also preset a plurality of comparison images corresponding to the angles, so that the nearest angles (which can be the same or have the smallest angle difference) are determined according to the current angles, and the nearest comparison images are obtained for comparison (the acquired images can be adjusted or unadjusted). The comparison image corresponding to the plurality of angles may be a comparison image automatically stored for comparison when the analysis result is normal.
After determining the first analysis data, the second analysis data, and the third analysis data, at least one of the first analysis data, the second analysis data, or the third analysis data may be time adjusted and/or data adjusted, and a consistency analysis may be performed to determine an analysis result in step 208 according to an alignment policy of the first analysis data, the second analysis data, and the third analysis data. In step 210, according to the analysis result, a control instruction is output to the control component of the internet of things in the industrial area, and the control component of the internet of things in the industrial area is managed.
Alignment of data (alignment of sensor data of the same target object) is also typically required before comparing information of multiple dimensions of the same target object in an industrial setting. The difference of analysis results of different devices is small, a target object corresponding to the data cannot be intuitively determined according to the data, and complex alignment (generally, an alignment scheme needs to be traversed and then an optimal scheme is selected) is needed to perform subsequent processing. Correspondingly, the embodiment of the application can also send the same random number to the sensor of the same target object in the corresponding industrial equipment, so that the acquired data is added with the random number. When analysis is performed, the results transmitted by the sensors added with different random numbers have larger difference, so that the data comparison of the same object is facilitated. Specifically, as an alternative embodiment, the process of performing time adjustment to perform consistency analysis includes: the method comprises the steps of sending the same random number to a first group of internet of things sensor assemblies, a second group of internet of things sensor assemblies and an internet of things camera assembly for detecting the same target object, so that the random number is added to detected data, the random number difference corresponding to different target objects is larger than a lower limit threshold value, and the random number is smaller than an upper limit threshold value; the first analysis data of the target object is adjusted to be a data sequence A (m1+p, j 1), wherein m1 is data, j1 is a first time offset, and p is a random number. Recording second analysis data of the target object as a data sequence B (m2+p, j 2), wherein m2 is data, and j2 is a second time offset; recording third analysis data of the target object as a data sequence C (m3+p, j 3), wherein m3 is data and j3 is a third time offset; determining whether S (a (m1+p, j 1), B (m2+p, j 2), C (m3+p, j 3)) < E is true or not to determine data consistency, wherein an S function is used to determine the amount of difference between data, and E is a preset threshold. The process of increasing the random number is completed at the ends of the first group of the Internet of things sensor assemblies, the second group of the Internet of things sensor assemblies and the Internet of things camera assembly. It should be noted that, the first group of sensors of the internet of things may be a single sensor, or may be a sensor group formed by a plurality of sensors, or may be a sensor group formed by a management device and a plurality of sensors, where the management device is configured to receive and process data of the plurality of sensors, and then forward the processed data to the control center.
As an alternative, after determining the first analysis data, the second analysis data, and the third analysis data, the present scheme may compare differences between the data, thereby determining whether a malfunction occurs or whether an operation of the control management apparatus is implemented, or the like, depending on the data differences. Specifically, as an optional embodiment, the performing the consistency analysis, determining the analysis result includes: determining a data difference amount based on the aligned first analysis data, second analysis data, and third analysis data; and when the data difference exceeds a preset threshold, an alarm is sent out.
In the scheme, a plurality of groups of alignment schemes can be arranged, including a standard alignment scheme and a fluctuation alignment scheme obtained after up-and-down fluctuation according to the standard alignment scheme. For example, the standard alignment scheme is to align data +10 of the first analysis data, data-10 of the second analysis data, and data +2 of the third analysis data, i.e., +10, -10, +2); the wave alignment scheme may be (+ 10.5, -9, +2.6). The offset may be a fixed value or a proportional value, and may be specifically set according to requirements, where the offset may be determined according to a time difference, for example, according to a difference between data of a previous time and data of a current time. Specifically, as an alternative embodiment, the alignment policy includes a plurality of alignment schemes, the plurality of alignment schemes includes a standard alignment scheme and a fluctuation alignment scheme determined based on the standard alignment scheme and the offset, and the analysis result is determined according to at least one of the plurality of alignment schemes; after alignment of the first analysis data, the second analysis data, and the third analysis data according to the standard alignment scheme or the wave alignment scheme, the determining the data difference amount based on the aligned first analysis data, second analysis data, and third analysis data includes: determining a first difference amount based on the aligned first analysis data and second analysis data; determining a second amount of difference based on the aligned first and third analysis data; determining a third difference amount based on the aligned second analysis data and third analysis data; and determining the data difference according to the weight information corresponding to each difference. According to the scheme, multiple groups of alignment data can be determined according to multiple alignment schemes, and whether abnormality occurs is finally judged according to the difference between the multiple groups of alignment data. By the method, consistent data can be obtained when time alignment is likely to be problematic, so that false reporting of the data is avoided, and detection accuracy is improved.
When it is determined that the device may have an abnormality (for example, only one dimension of data is abnormal) according to the analysis result, a prompt may be sent to the user to allow the user to overhaul, and in particular, as an optional embodiment, the method further includes: when the data difference exceeds the adjustment threshold and is smaller than the preset threshold, sending out adjustment prompt information; according to the first feedback information, if the difference exists, updating an alignment strategy; and according to the second feedback information, testing whether the difference is corrected, and sending a correction success prompt when the difference is corrected. The user can determine that the abnormality does not exist, can also determine that the abnormality exists, and can correct the abnormality, and the control center can analyze according to data of other normal dimensions, so that a correction scheme is given in the prompt information, and whether the correction is successful or not can be tested.
On the basis of the above embodiment, the present application further provides an industrial control and automation device based on the internet of things, as shown in fig. 3, where the device includes:
the first data acquisition module 302 is configured to acquire first acquired data and first acquisition time in the industrial area through the first group of sensors of the internet of things, perform a first analysis, and determine first analysis data corresponding to a first time period;
a second data acquisition module 304, configured to acquire second acquired data and second acquisition time in the industrial area through a second set of internet of things sensor assemblies, and perform a second analysis to determine second analysis data corresponding to the first time period;
the third data acquisition module 306 is configured to acquire third acquisition data and third acquisition time in the industrial area through the internet of things camera component, and perform third analysis to determine third analysis data corresponding to the first time period;
the analysis result obtaining module 308 is configured to perform time adjustment and/or data adjustment on at least one of the first analysis data, the second analysis data, or the third analysis data according to an alignment policy of the first analysis data, the second analysis data, and the third analysis data, perform consistency analysis, and determine an analysis result;
the control instruction output module 310 is configured to output a control instruction to an internet of things control component of the industrial area according to the analysis result, and manage the internet of things control component of the industrial area.
The implementation manner of the embodiment of the present application is similar to that of the embodiment of the method, and the specific implementation manner may refer to the implementation manner of the embodiment of the method, which is not repeated herein.
According to the embodiment of the application, related first group of sensors of the Internet of things, second group of sensors of the Internet of things and imaging assemblies of the Internet of things can be arranged for industrial equipment in an industrial area, information is acquired, acquired data are analyzed to obtain first analysis data, second analysis data and third analysis data, then the time and data value of the data are adjusted according to corresponding data alignment strategies, so that the data are aligned, and consistency analysis is carried out according to the aligned data, an analysis result is determined, and a control instruction is sent to an Internet of things control assembly according to the analysis result, so that the equipment is managed. In the solution of the present application, the first group of the internet of things sensor assemblies and the second group of the internet of things sensor assemblies are sensor assemblies with different dimensions, preferably, the first group of the internet of things sensor assemblies includes sensor assemblies carried by industrial equipment in an industrial area, and the second group of the internet of things sensor assemblies includes sensor assemblies configured for the industrial equipment for detection. Obviously, the data acquisition mode of the internet of things camera component and the first group of internet of things sensors and the second group of internet of things sensors is not the same dimension, so that the scheme can acquire data from a plurality of different dimensions, and compare the acquired data after the acquired data are aligned according to the time and data alignment mode, when the sensor component of one dimension fails, false alarm is avoided, the accuracy of an analysis result is improved, and industrial equipment in an industrial area is controlled better.
On the basis of the above embodiment, the present application further provides an electronic device, including: a memory and at least one processor; the memory is used for storing computer execution instructions; the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method as described in the above embodiments.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the data processing method embodiment, and can achieve the same technical effects, so that repetition is avoided and no further description is given here. Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random ACGess Memory, RAM), magnetic disk or optical disk.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. According to the definitions herein, the computer-readable medium does not include a transitory computer-readable medium (transmission medium), such as a modulated data signal and carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (6)
1. An industrial control and automation method based on the internet of things, which is characterized by being applied to a control system, the method comprising:
acquiring first acquisition data and first acquisition time in an industrial area through a first group of Internet of things sensor assemblies, and performing first analysis to determine first analysis data corresponding to a first time period;
acquiring second acquisition data and second acquisition time in the industrial area through a second group of Internet of things sensor assemblies, and performing second analysis to determine second analysis data corresponding to the first time period;
acquiring third acquisition data and third acquisition time in the industrial area through the Internet of things camera component, and performing third analysis to determine third analysis data corresponding to the first time period;
according to the alignment strategy of the first analysis data, the second analysis data and the third analysis data, performing time adjustment or time adjustment and data adjustment on at least one of the first analysis data, the second analysis data or the third analysis data, performing consistency analysis, and determining an analysis result;
outputting a control instruction to an Internet of things control component of the industrial area according to the analysis result, and managing the Internet of things control component of the industrial area;
the first group of the Internet of things sensor assemblies and the second group of the Internet of things sensor assemblies are sensor assemblies with different dimensions, the first group of the Internet of things sensor assemblies comprise sensor assemblies carried by industrial equipment in an industrial area, and the second group of the Internet of things sensor assemblies comprise sensor assemblies configured for the industrial equipment and used for detection;
and wherein the process of performing a time adjustment to perform a consistency analysis comprises:
the method comprises the steps of sending the same random number to a first group of internet of things sensor assemblies, a second group of internet of things sensor assemblies and an internet of things camera assembly for detecting the same target object, so that the random number is added to detected data, the random number difference corresponding to different target objects is larger than a lower limit threshold value, and the random number is smaller than an upper limit threshold value;
adjusting first analysis data of a target object into a data sequence A (m1+p, j 1), wherein m1 is data, j1 is a first time offset, and p is a random number;
recording second analysis data of the target object as a data sequence B (m2+p, j 2), wherein m2 is data, and j2 is a second time offset;
recording third analysis data of the target object as a data sequence C (m3+p, j 3), wherein m3 is data and j3 is a third time offset;
determining whether S (a (m1+p, j 1), B (m2+p, j 2), C (m3+p, j 3)) < E is true or not to determine data consistency, wherein an S function is used to determine the amount of difference between data, and E is a preset threshold.
2. The method of claim 1, wherein performing a consistency analysis, determining an analysis result, comprises:
determining a data difference amount based on the aligned first analysis data, second analysis data, and third analysis data;
and when the data difference exceeds a preset threshold, an alarm is sent out.
3. The method according to claim 2, wherein the method further comprises:
when the data difference exceeds the adjustment threshold and is smaller than the preset threshold, sending out adjustment prompt information;
according to the first feedback information, if the difference exists, updating an alignment strategy;
and according to the second feedback information, testing whether the difference is corrected, and sending a correction success prompt when the difference is corrected.
4. The method of claim 1, wherein the acquiring, by the imaging component of the internet of things, third acquisition data and third acquisition time in the industrial area and performing third analysis to determine third analysis data corresponding to the first time period comprises:
acquiring control image data corresponding to an industrial area;
comparing the third acquired data with the control image data to determine image difference information;
and determining third analysis data corresponding to the first time period according to the image difference information and the third acquisition time.
5. An industrial control and automation device based on the internet of things, the device comprising:
the first data acquisition module is used for acquiring first acquisition data and first acquisition time in the industrial area through the first group of Internet of things sensor assemblies, performing first analysis and determining first analysis data corresponding to a first time period;
the second data acquisition module is used for acquiring second acquisition data and second acquisition time in the industrial area through a second group of internet of things sensor assemblies, performing second analysis and determining second analysis data corresponding to the first time period;
the third data acquisition module is used for acquiring third acquisition data and third acquisition time in the industrial area through the Internet of things camera shooting assembly, and performing third analysis to determine third analysis data corresponding to the first time period;
the analysis result acquisition module is used for carrying out time adjustment or time adjustment and data adjustment on at least one of the first analysis data, the second analysis data or the third analysis data according to an alignment strategy of the first analysis data, the second analysis data and the third analysis data, carrying out consistency analysis and determining an analysis result;
the control instruction output module is used for outputting a control instruction to the Internet of things control assembly of the industrial area according to the analysis result and managing the Internet of things control assembly of the industrial area;
the first group of the Internet of things sensor assemblies and the second group of the Internet of things sensor assemblies are sensor assemblies with different dimensions, the first group of the Internet of things sensor assemblies comprise sensor assemblies carried by industrial equipment in an industrial area, and the second group of the Internet of things sensor assemblies comprise sensor assemblies configured for the industrial equipment and used for detection;
and wherein the process of performing a time adjustment to perform a consistency analysis comprises:
the method comprises the steps of sending the same random number to a first group of internet of things sensor assemblies, a second group of internet of things sensor assemblies and an internet of things camera assembly for detecting the same target object, so that the random number is added to detected data, the random number difference corresponding to different target objects is larger than a lower limit threshold value, and the random number is smaller than an upper limit threshold value;
adjusting first analysis data of a target object into a data sequence A (m1+p, j 1), wherein m1 is data, j1 is a first time offset, and p is a random number;
recording second analysis data of the target object as a data sequence B (m2+p, j 2), wherein m2 is data, and j2 is a second time offset;
recording third analysis data of the target object as a data sequence C (m3+p, j 3), wherein m3 is data and j3 is a third time offset;
determining whether S (a (m1+p, j 1), B (m2+p, j 2), C (m3+p, j 3)) < E is true or not to determine data consistency, wherein an S function is used to determine the amount of difference between data, and E is a preset threshold.
6. An electronic device, comprising: a memory and at least one processor;
the memory is used for storing computer execution instructions;
the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method of any of claims 1-4.
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