CN117251783A - Industrial data acquisition terminal - Google Patents

Industrial data acquisition terminal Download PDF

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Publication number
CN117251783A
CN117251783A CN202311296110.2A CN202311296110A CN117251783A CN 117251783 A CN117251783 A CN 117251783A CN 202311296110 A CN202311296110 A CN 202311296110A CN 117251783 A CN117251783 A CN 117251783A
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data
acquisition
industrial
mode
bar code
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陆金龙
黄晓芹
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Nanjing Huazhixing Information Technology Co ltd
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Nanjing Huazhixing Information Technology Co ltd
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Priority to CN202311296110.2A priority Critical patent/CN117251783A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/252Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
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Abstract

The invention discloses an industrial data acquisition terminal, which comprises the following specific steps: pre-classifying data, namely pre-classifying the data before data acquisition according to experience of history on the data; establishing a model, wherein the model is established according to the characteristics of historical data, and provides a basis for the selection of a subsequent acquisition mode; selecting an acquisition mode, wherein the acquisition mode comprises manual acquisition, bar code acquisition and radio frequency acquisition, pre-classifying data according to a data model, and selecting a corresponding acquisition mode for the classified data; data acquisition, namely acquiring the pre-classified data through the acquisition mode; and preprocessing and storing the data, processing the acquired data, and then importing the processed data into a database for storage. In the process of data acquisition, the corresponding acquisition mode is selected according to the characteristics of the data after the data acquisition is preprocessed, so that the efficiency and the precision of the data acquisition and the economic cost of the acquisition terminal equipment are comprehensively achieved.

Description

Industrial data acquisition terminal
Technical Field
The invention relates to the technical field of industrial data, in particular to an industrial data acquisition terminal.
Background
In the construction process of the digital twin project, the most basic and the most core are necessary to collect and summarize the data stored in different positions aiming at each module and various devices, and the data is enabled to generate real value through the arrangement and comparison of the data, so that the data display, the data application and the data value of the digital twin platform are realized.
Data collection refers to a means or process of obtaining data or information from outside the system and inputting it into the system using a device. The data acquisition mode is divided into the following three modes;
the manual mode is used for collecting data manually according to the keyboard mode, so that the required cost is low, the data input is unreliable, and the error rate is high; the bar code mode, the bar code scanning mode is input, the required cost is low, the system development is relatively simple, however, the scanner needs to work under the guidance of an operator, so that the scanner can only receive the bar codes in the visual field range of the bar code scanning gun for data acquisition; the RFID mode is input, the economic input cost is high, and the combination of software development and hardware control has certain difficulty.
The industrial production and processing procedures in the current stage are numerous, and in order to ensure that the product quality is traceable and traceable, massive data of each processing stage need to be acquired to meet the requirements, so that the stability, convenience, reliability and economic cost of the acquired data need to be balanced, and therefore, an industrial data acquisition terminal is provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an industrial data acquisition terminal, which solves the technical problem of balance of data acquisition quality and equipment economic efficiency.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the industrial data acquisition terminal comprises the following specific steps:
step one, pre-classifying data, namely pre-classifying the data before data acquisition according to experience of history on the data;
establishing a model according to the characteristics of historical data, so that pre-classification of the data can be rapidly realized, and a basis is provided for selection of a subsequent acquisition mode;
selecting an acquisition mode, wherein the acquisition mode comprises manual acquisition, bar code acquisition and radio frequency acquisition, pre-classifying data according to a data model, and selecting a corresponding acquisition mode for the classified data;
step four, data acquisition, namely acquiring the pre-classified data through the acquisition mode;
step five, preprocessing and storing the data, processing the collected data, then importing the processed data into a database for storage, wherein the data processing can perform preliminary input on the data, preprocessing the data by comparing the data, can identify common repeated data and obvious errors, ensures the integral efficiency of the collected data while playing a preliminary screening role,
the data model in the second step is continuously filled and repaired by refining the data in the database, so that the data model can be perfected better.
Preferably, the data is pre-classified into replaceable data and unique data, wherein the replaceable data comprises data in the industrial production process, and the air conditioner compressor is taken as an example, and comprises data of a processing flow, including basic processing steps of capping, welding, paint dipping and the like of a compressor tank body, and judging the processing of parts by reading the process data, wherein the steps are gradually replaced according to the promotion of the processing flow, the replaceable data is low in importance, high in fault tolerance and large in data volume.
Preferably, the unique data comprises a motor with a core component of the equipment component, a rotor with a core and matching data, the data are fixed for each compressor, the whole product service cycle is penetrated, only one-time recording is needed, the data are used for life, in addition, the importance of the data is high, and the difficulty of recording is low.
Preferably, the manual data acquisition is performed in a keyboard mode, so that the required cost is low, the data input is unreliable, and the error rate is high; the method is used in places with relatively convenient manual operation, is applied to a manufacturing execution system, and can be realized by only installing an inputtable window at a client.
Preferably, the bar code is collected and the bar code is recorded in a scanning mode, the required cost is low, the system development is relatively simple, however, the scanner only can receive the bar code in the visual field of the bar code scanning gun to collect data under the guidance of an operator, and in some cases, when the tag is damaged, stained or dropped, the scanner can not identify the target bar code or the identification is wrong, and the scanner can be widely used in part identification, manual operation convenience places and combined with a manual recording function to ensure the accuracy.
Preferably, the radio frequency acquisition and the RFID mode are used for recording, different information can be repeatedly written in, and the radio frequency identification does not need the target to be in the visible range. The tag can be identified for data acquisition as long as the tag is within the power range of the radio frequency receiver; the economic investment cost is high, and the combination of software development and hardware control has certain difficulty. RFID identification needs to be used in sealed spaces, where data accuracy is required.
Preferably, the replaceable data is acquired by adopting a bar code, the unique data is acquired by adopting a radio frequency, the replaceable data is acquired by adopting equipment automatic repeat when error reporting occurs, and the manual acquisition can be performed only when the automatic repeat acquisition occurs, because the bar code acquisition can ensure the accuracy and the use efficiency because of a certain failure rate caused by acquisition light and position.
Preferably, when the report errors occur in the unique data acquisition, the check needs to be performed by manual acquisition, the problem of error report finding is solved, the subsequent faults of equipment are avoided, and in addition, the check needs to be performed twice by manual acquisition, so that the accuracy is effectively ensured.
Preferably, the database comprises a temporary database and a permanent database, wherein the temporary database is used for storing the replaceable data, and the replaceable data is automatically deleted only after being stored in one production cycle after the next step of historical data appears, so that the pressure of the internal memory of the equipment can be better reduced, for example, the compressor tank body can be covered after finishing the products of the previous working procedures of feeding, welding and loading.
Preferably, the permanent database is used for storing unique data, wherein the unique data is stored in an additional external storage mode after being regularly arranged, so that excessive pressure on a system is avoided, part of core data can be effectively stored in the whole service period of a product, and the long-term service life and fault data storage of the product can be realized by combining with subsequent maintenance and use of equipment, so that subsequent core product processes can be iterated and upgraded better, and technology accumulation is formed.
(III) beneficial effects
1. The method comprises the steps of firstly pre-classifying collected data according to a historical data model, dividing the data into replaceable data and unique data, wherein the replaceable data is collected by adopting a bar code, the unique data is collected by adopting a radio frequency, equipment is adopted for automatic repeated collection when error reporting occurs in the replaceable data, wherein data processing can perform preliminary input on the data, preprocessing is performed by comparing the data, common data can be identified by repeated and obvious errors, the whole efficiency of collecting the data is ensured while the preliminary screening effect is achieved, the bar code collection cost of the temporary data is low, the system development is relatively simple, the stability is relatively strong, the accuracy and the stability of the data collection are limited by adopting the radio frequency collection, the supplement is performed by adopting a manual collection mode, and the efficiency and the precision of collecting the data and the economic cost of collecting terminal equipment are comprehensively realized.
2. The database comprises a temporary database and a permanent database, wherein the temporary database is used for storing the replaceable data, the replaceable data is automatically deleted after being stored in one production period after being subjected to the next step of historical data, the permanent database is used for storing the unique data, the unique data is stored in an additional external storage mode after being regularly arranged, excessive pressure on a system is avoided, so that part of core data can be effectively stored in the whole service period of a product, and the long-term service life and the storage of fault data of the product can be realized by combining with the subsequent maintenance and use of equipment, iteration and upgrading of the subsequent core product process can be better, and technology accumulation is formed.
Detailed Description
According to the industrial data acquisition terminal, the problems of acquisition quality and economic application cost in the prior art are solved, the corresponding acquisition mode is selected according to the characteristics of data after the data are preprocessed in the data acquisition process, the efficiency and precision of data acquisition and the economic cost of the acquisition terminal equipment are comprehensively achieved, and good balance is achieved.
Example 1
The technical scheme in the embodiment of the application aims to solve the problems of acquisition quality and economic and applicable cost, and the overall thought is as follows:
aiming at the problems in the prior art, the invention provides an industrial data acquisition terminal, which comprises the following specific steps:
step one, pre-classifying data, namely pre-classifying the data before data acquisition according to experience of history on the data;
establishing a model according to the characteristics of historical data, so that pre-classification of the data can be rapidly realized, and a basis is provided for selection of a subsequent acquisition mode;
selecting an acquisition mode, wherein the acquisition mode comprises manual acquisition, bar code acquisition and radio frequency acquisition, pre-classifying data according to a data model, and selecting a corresponding acquisition mode for the classified data;
step four, data acquisition, namely acquiring the pre-classified data through the acquisition mode;
step five, preprocessing and storing the data, processing the acquired data, and then importing the processed data into a database for storage.
The data pre-classification divides the data into replaceable data and unique data, wherein the replaceable data comprises data in the industrial production process, an air conditioner compressor is taken as an example, the data comprises data of a processing flow, the data comprises basic processing steps of capping, welding, paint dipping and the like of a compressor tank body, the processing steps of parts are judged by reading the process data, the steps are replaced step by step according to the pushing of the processing flow, the replaceable data is low in importance, high in fault tolerance and large in data quantity;
the unique data comprise a motor with a core component of the equipment component, a rotor with a core and matching data, the data are fixed for each compressor, the whole service cycle of the product is penetrated, only one-time recording is needed, the equipment is used for life, in addition, the importance of the data is high, and the difficulty of recording is low.
The manual data acquisition is performed manually in a keyboard mode, so that the required cost is low, the data input is unreliable, and the error rate is high; the method is used in places with relatively convenient manual operation, is applied to a manufacturing execution system, and can be realized by only installing an inputtable window at a client.
The bar code is collected, the bar code is input in a scanning mode, the required cost is low, the system development is relatively simple, however, the scanner only can receive the bar code in the visual field of the bar code scanning gun to collect data, and in some cases, when the tag is damaged, stained or dropped, the scanner cannot identify the target bar code or the identification is wrong, the scanner is used in a part identification in a large number, a manual operation convenient place is used, and the accuracy is ensured by combining a manual input function.
Radio frequency acquisition and RFID mode input can be used for repeatedly writing different information, and radio frequency identification does not need a target to be in a visible range. The tag can be identified for data acquisition as long as the tag is within the power range of the radio frequency receiver; the economic investment cost is high, and the combination of software development and hardware control has certain difficulty. RFID identification needs to be used in sealed spaces, where data accuracy is required.
Wherein, the replaceable data adopts bar code acquisition, the unique data adopts radio frequency acquisition, the replaceable data adopts equipment automatic repeated acquisition when error reporting occurs, the manual acquisition can be carried out only when the automatic repeated acquisition fails, because the bar code acquisition can cause a certain failure rate due to acquisition light and position, the accuracy and the use efficiency are guaranteed, but when the error reporting occurs in the unique data acquisition, the error reporting problem is required to be found, the subsequent faults of the equipment are avoided, and in addition, the error reporting is required to be carried out twice by the manual acquisition, so that the accuracy is effectively guaranteed.
The data processing can perform preliminary input on the data, preprocessing is performed through comparing the data, common data can be repeatedly and obviously mistakenly identified, the overall efficiency of data collection is guaranteed while the preliminary screening effect is achieved, the data model in the second step is continuously filled and repaired through refining the data in the database, and the data model can be perfected better.
The database comprises a temporary database and a permanent database, wherein the temporary database is used for storing the replaceable data, the replaceable data is automatically deleted only after being stored in one production cycle after the next step of historical data appears, the pressure of the internal memory of the equipment can be better reduced, for example, the compressor tank body can be covered after finishing the product of the previous working procedures of feeding, welding and loading,
the permanent database is used for storing the unique data, wherein the unique data is stored in an additional external storage mode after being regularly arranged, so that excessive pressure on a system is avoided, part of core data can be effectively stored in the whole service period of a product, and the long-term service life and fault data storage of the product can be realized by combining with subsequent maintenance and use of equipment, so that subsequent core product processes can be iterated and upgraded better, and technology accumulation is formed.
To sum up: the data is first pre-classified according to a historical data model, the data is divided into replaceable data and unique data, the replaceable data is collected by adopting a bar code, the unique data is collected by adopting a radio frequency, equipment is adopted for automatic repeated collection when error reporting occurs in the replaceable data, the data is preliminarily recorded by data processing, the data is pre-processed through comparison data, common data repetition and obvious errors can be identified, the overall efficiency of collecting the data is ensured while the primary screening effect is achieved, the data model in the second step is continuously filled and repaired by refining the data in the database, and the data model can be perfected better.
Finally, it should be noted that: it is apparent that the above examples are only illustrative of the present invention and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. And obvious variations or modifications thereof are contemplated as falling within the scope of the present invention.

Claims (10)

1. Industrial data acquisition terminal, its characterized in that: the method comprises the following specific steps:
step one, pre-classifying data, namely pre-classifying the data before data acquisition according to experience of history on the data;
establishing a model according to the characteristics of historical data to quickly realize pre-classification of the data;
selecting an acquisition mode, wherein the acquisition mode comprises manual acquisition, bar code acquisition and radio frequency acquisition, pre-classifying data according to a data model, and selecting a corresponding acquisition mode for the classified data;
step four, data acquisition, namely acquiring the pre-classified data through the acquisition mode;
step five, preprocessing and storing data, processing the acquired data, and then importing the processed data into a database for storage, wherein the data processing can be used for preprocessing the data by preliminarily inputting the data through comparing the data, and can be used for identifying common repeated data and obvious errors, and continuously filling and repairing the data model in the step two by refining the data in the database.
2. The industrial data acquisition terminal of claim 1, wherein: the data pre-classification divides the data into replaceable data and unique data, wherein the replaceable data comprises data in the industrial production process, the air conditioner compressor is taken as an example, the data comprise data of a processing flow, the step of processing the part is judged by reading the process data, and the step is gradually replaced according to the advancing of the processing flow.
3. The industrial data acquisition terminal of claim 2, wherein: the unique data includes the motor and the rotor of the core with the core components of the device parts and matching data, which are fixed for each compressor throughout the product life cycle.
4. An industrial data acquisition terminal as claimed in claim 3, wherein: the manual collection is performed, and data collection is performed manually according to a keyboard mode; the method is used in places with relatively convenient manual operation, is applied to a manufacturing execution system, and can be realized by only installing an inputtable window at a client.
5. The industrial data acquisition terminal of claim 4, wherein: the bar code is collected and is input in a bar code scanning mode, but the scanner needs to work under the guidance of an operator, so that the bar code in the visual field of the bar code scanning gun can only be received for data collection.
6. The industrial data acquisition terminal of claim 5, wherein: the radio frequency acquisition, RFID mode input and different information can be repeatedly written, the radio frequency identification does not need the target to be in the visible range, and the tag can be identified for data acquisition only in the power range of the radio frequency receiver; RFID identification needs to be used in a sealed space.
7. The industrial data acquisition terminal of claim 6, wherein: the replaceable data is acquired by adopting a bar code, the unique data is acquired by adopting a radio frequency, the replaceable data is acquired automatically and repeatedly by adopting equipment when error reporting occurs, and the manual acquisition can be performed only when faults occur during the automatic and repeated acquisition.
8. The industrial data acquisition terminal of claim 7, wherein: when the unique data acquisition is in error reporting, the check is needed by manual acquisition, the error reporting problem is needed to be found, and in addition, the check is needed to be carried out twice by manual acquisition.
9. The industrial data acquisition terminal of claim 1, wherein: the database comprises a temporary database and a permanent database, wherein the temporary database is used for storing the replaceable data, and the replaceable data is automatically deleted after being stored for only one production period after the next step of historical data appears, so that the pressure of the equipment memory can be better reduced.
10. The industrial data acquisition terminal of claim 9, wherein: the permanent database is used for storing unique data, wherein the unique data is stored after being periodically arranged and then is additionally stored externally, part of core data is effectively stored in the whole service period of the product, and the long-term service life and the storage of fault data of the product are realized by combining the subsequent maintenance and use of equipment.
CN202311296110.2A 2023-10-09 2023-10-09 Industrial data acquisition terminal Pending CN117251783A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311296110.2A CN117251783A (en) 2023-10-09 2023-10-09 Industrial data acquisition terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311296110.2A CN117251783A (en) 2023-10-09 2023-10-09 Industrial data acquisition terminal

Publications (1)

Publication Number Publication Date
CN117251783A true CN117251783A (en) 2023-12-19

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Application Number Title Priority Date Filing Date
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Country Status (1)

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