Data standardization system and method under artificial intelligence

Abstract

The application discloses a data standardization system and method under artificial intelligence, which comprises a data standardization module, a standardized data adjustment module, a data integration module and a data selection module, the data standardization module, the standardized data adjustment module and the data integration module are in communication connection, and the data integration module and the data selection module are in communication connection; the data standardization module is used for generating standardized data of a product through artificial intelligence, taking the generated standardized data as original data of the product, using the original data of the product for production of the product, storing the original data of the product, and obtaining standardized data of the product. Through the data standardization module, the standardized data of the product can be generated based on artificial intelligence, so that standardized data is provided for product production, and the product quality and production efficiency are improved.

Description

Technical Field

[0001] This invention belongs to the field of data processing technology, specifically relating to a data standardization system and method under artificial intelligence. Background Technology

[0002] In the factory production process, the production of a product requires the establishment of product data in advance, and the production of the product is carried out based on the established product data, thereby achieving the standardization of product production.

[0003] However, existing factory production processes still have some problems: when establishing product data, because the product data is not standardized, sometimes the products do not meet the standards, resulting in a decrease in the quality of the produced products. At the same time, it is inconvenient to store the data of the original products. When reproducing products that have been produced before, it is necessary to re-establish the product data, which leads to a decrease in production efficiency. To address this, we propose a data standardization system and method under artificial intelligence. Summary of the Invention

[0004] The purpose of this invention is to provide a data standardization system and method under artificial intelligence to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a data standardization system under artificial intelligence, comprising a data standardization module, a standardized data adjustment module, a data integration module, and a data selection module, wherein the data standardization module, the standardized data adjustment module, and the data integration module are communicatively connected, and the data integration module and the data selection module are communicatively connected.

[0006] The data standardization module is used to generate standardized data for the product through artificial intelligence, use the generated standardized data as the original data of the product, use the original data of the product for the production of the product, and store the original data of the product to obtain standardized data for the production of product one.

[0007] The standardized data adjustment module is used to modify the original data of the product through artificial intelligence, generate new standardized data for the product, use the new standardized data for the production of the new product, and store the new standardized data to obtain standardized data for the production of product two or standardized data for the production of any product N.

[0008] The data integration module is used to store the standardized data of the production of product one, the standardized data of the production of product two, and the standardized data of the production of any product N.

[0009] The data selection module is used to select the data stored inside the data integration module, and select the standardized data of product one, product two, or any product N to be produced for production.

[0010] Preferably, the data standardization module includes a product data establishment unit, a product data review unit, a product data generation unit, and a first data transmission unit. The product data establishment unit is used to establish standardized data for the product through artificial intelligence. The product data review unit is used to review the established standardized data for the product and determine whether the established standardized data for the product meets the standardization requirements of the product. The product data generation unit is used to obtain data that meets the product standardization requirements and generate the data as the standardized data for the product, thus obtaining the standardized data for product one. The first data transmission unit is used to send the standardized data for product one to the data integration module for storage.

[0011] Preferably, the standardized data adjustment module includes a data acquisition unit, a data adjustment unit, a new product generation unit, and a second data transmission unit. The data acquisition unit is used to acquire the original data of the product. The data adjustment unit is used to adjust the original data of the product according to data that meets the product standardization requirements. The new product generation unit is used to generate standardized data of a new product based on the adjusted data, thereby obtaining standardized data of product two or standardized data of any product N. The second data transmission unit is used to send the standardized data of product two or standardized data of any product N to the data integration module for storage.

[0012] Preferably, the data transmission method of the first data transmission unit includes:

[0013] Step 1: Obtain the data transmission scheduling resource size;

[0014] Step 2: Obtain the modulation and coding strategy and the MCS index. The index is used to find the modulation order and the transport block size (TBS) calculation factor.

[0015] Step 3: Determine the transport block size (TBS) based on the data transmission scheduling resource size, modulation order, and TBS calculation factor;

[0016] Step 4: Transmit data via transceiver according to the TBS determined above.

[0017] Preferably, the process of determining the transport block size (TBS) in step three includes the following calculation formula:

[0018]

[0019] or

[0020] Where, N RE Q represents the size of the data transmission scheduling resource. m Where C is the modulation order, C is the TBS calculation factor for the l-th layer, m is a natural number greater than or equal to 1, Δ is a constant greater than or equal to 0, l is the layer number, and L is the total number of layers.

[0021] Preferably, the formula for calculating the data transmission rate R in the first data transmission unit is as follows:

[0022] R = (1 / T) * log 2 N;

[0023] Where T is the width of a digital pulse signal (full-width code) or the repetition period (return-to-zero code), in seconds; a digital pulse is also called a symbol, and N is the number of valid discrete values ​​taken by a symbol, also known as the modulation level number, and N takes an integer power of 2.

[0024] Data standardization methods under artificial intelligence include the following steps:

[0025] S1. Generate standardized data for the product through artificial intelligence, use the generated standardized data as the original data of the product, use the original data of the product for the production of the product, and store the original data of the product to obtain standardized data for the production of product one;

[0026] S2. Modify the original data of the product through artificial intelligence to generate standardized data of the new product, use the standardized data of the new product for the production of the new product, and store the standardized data of the new product to obtain standardized data for the production of product two or standardized data for the production of any product N.

[0027] S3. Store the standardized data for producing product one, the standardized data for producing product two, and the standardized data for producing any product N;

[0028] S4. Select from the stored data, choosing the standardized data for product one, product two, or any product N to be produced for production.

[0029] Preferably, step S1 further includes the following steps:

[0030] S101. Establish standardized product data through artificial intelligence;

[0031] S102. Review the standardized data of the established product to determine whether the standardized data of the established product meets the standardization requirements of the product. If it meets the standard, proceed to S103; if it does not meet the standard, proceed to S101 and re-establish the standardized data of the product.

[0032] S103. Obtain data that meets the product standardization requirements, generate the data as the product standardization data, and obtain the standardization data for producing product one;

[0033] S104. Transmit and store the standardized data of the manufactured product one.

[0034] Preferably, step S2 further includes the following steps:

[0035] S201. Obtain the raw data of the product;

[0036] S202. Adjust the original data of the product according to data that meets the product standardization requirements;

[0037] S203. Based on the adjusted data, generate standardized data for the new product to obtain standardized data for product two or standardized data for any product N;

[0038] S204. Transmit and store the standardized data of Product 2 or any Product N.

[0039] Preferably, the calculation formula for the data transmission rate R during the process of transmitting and storing the standardized data of the first production product in S104 is as follows:

[0040] R = (1 / T) * log 2 N;

[0041] Where T is the width of a digital pulse signal (full-width code) or the repetition period (return-to-zero code), in seconds; a digital pulse is also called a symbol, and N is the number of valid discrete values ​​taken by a symbol, also known as the modulation level number, and N takes an integer power of 2.

[0042] Compared with the prior art, the beneficial effects of the present invention are:

[0043] (1) By setting up a data standardization module, the present invention can generate standardized data for products based on artificial intelligence, thereby facilitating the provision of standardized data during product production, which is conducive to improving product quality and production efficiency.

[0044] (2) By setting up a standardized data adjustment module, the present invention can generate standardized data for new products based on artificial intelligence, thereby facilitating the standardized production of new products and increasing the diversity of product production.

[0045] (3) The present invention can store the established product standardization data through the data integration module and the data selection module. When the previously produced products are produced again, the stored original product standardization data can be selected through the data selection module, thereby avoiding the operation of re-establishing product data and further improving production efficiency. Attached Figure Description

[0046] Figure 1 This is a structural block diagram of the present invention;

[0047] Figure 2 This is a structural block diagram of the data standardization module of the present invention;

[0048] Figure 3 This is a structural block diagram of the standardized data adjustment module of the present invention. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Please see Figures 1-3 The present invention provides a technical solution: a data standardization system under artificial intelligence, comprising a data standardization module, a standardized data adjustment module, a data integration module and a data selection module, wherein the data standardization module, the standardized data adjustment module and the data integration module are communicatively connected, and the data integration module and the data selection module are communicatively connected.

[0051] The data standardization module is used to generate standardized data for the product through artificial intelligence, use the generated standardized data as the original data of the product, use the original data of the product for the production of the product, and store the original data of the product to obtain standardized data for the production of product one.

[0052] The standardized data adjustment module is used to modify the original data of the product through artificial intelligence, generate new standardized data for the product, use the new standardized data for the production of the new product, and store the new standardized data to obtain standardized data for the production of product two or standardized data for the production of any product N.

[0053] The data integration module is used to store the standardized data of the production of product one, the standardized data of the production of product two, and the standardized data of the production of any product N.

[0054] The data selection module is used to select the data stored inside the data integration module, and select the standardized data of product one, product two, or any product N to be produced for production.

[0055] In this embodiment, preferably, the data standardization module includes a product data establishment unit, a product data review unit, a product data generation unit, and a first data transmission unit. The product data establishment unit is used to establish standardized data for the product through artificial intelligence. The product data review unit is used to review the established standardized data for the product and determine whether the established standardized data for the product meets the standardization requirements of the product. The product data generation unit is used to obtain data that meets the product standardization requirements and generate the data as the standardized data for the product, thereby obtaining the standardized data for product one. The first data transmission unit is used to send the standardized data for product one to the data integration module for storage.

[0056] In this embodiment, preferably, the standardized data adjustment module includes a data acquisition unit, a data adjustment unit, a new product generation unit, and a second data transmission unit. The data acquisition unit is used to acquire the original data of the product. The data adjustment unit is used to adjust the original data of the product according to data that meets the product standardization requirements. The new product generation unit is used to generate standardized data of a new product based on the adjusted data, thereby obtaining standardized data of product two or standardized data of any product N. The second data transmission unit is used to send the standardized data of product two or standardized data of any product N to the data integration module for storage.

[0057] In this embodiment, preferably, the data transmission method of the first data transmission unit includes:

[0058] Step 1: Obtain the data transmission scheduling resource size;

[0059] Step 2: Obtain the modulation and coding strategy and the MCS index. The index is used to find the modulation order and the transport block size (TBS) calculation factor.

[0060] Step 3: Determine the transport block size (TBS) based on the data transmission scheduling resource size, modulation order, and TBS calculation factor;

[0061] Step 4: Transmit data via transceiver according to the TBS determined above.

[0062] In this embodiment, preferably, the process of determining the transport block size (TBS) in step three includes the following calculation formula:

[0063]

[0064] or

[0065] Where, N RE Q represents the size of the data transmission scheduling resource. m Where C is the modulation order, C is the TBS calculation factor for the l-th layer, m is a natural number greater than or equal to 1, Δ is a constant greater than or equal to 0, l is the layer number, and L is the total number of layers.

[0066] In this embodiment, preferably, the calculation formula for the data transmission rate R in the first data transmission unit is as follows:

[0067] R = (1 / T) * log 2 N;

[0068] Where T is the width of a digital pulse signal (full-width code) or the repetition period (return-to-zero code), in seconds; a digital pulse is also called a symbol, and N is the number of valid discrete values ​​taken by a symbol, also known as the modulation level number, and N takes an integer power of 2.

[0069] Data standardization methods under artificial intelligence include the following steps:

[0070] S1. Generate standardized data for the product through artificial intelligence, use the generated standardized data as the original data of the product, use the original data of the product for the production of the product, and store the original data of the product to obtain standardized data for the production of product one;

[0071] S2. Modify the original data of the product through artificial intelligence to generate standardized data of the new product, use the standardized data of the new product for the production of the new product, and store the standardized data of the new product to obtain standardized data for the production of product two or standardized data for the production of any product N.

[0072] S3. Store the standardized data for producing product one, the standardized data for producing product two, and the standardized data for producing any product N;

[0073] S4. Select from the stored data, choosing the standardized data for product one, product two, or any product N to be produced for production.

[0074] In this embodiment, preferably, step S1 further includes the following steps:

[0075] S101. Establish standardized product data through artificial intelligence;

[0076] S102. Review the standardized data of the established product to determine whether the standardized data of the established product meets the standardization requirements of the product. If it meets the standard, proceed to S103; if it does not meet the standard, proceed to S101 and re-establish the standardized data of the product.

[0077] S103. Obtain data that meets the product standardization requirements, generate the data as the product standardization data, and obtain the standardization data for producing product one;

[0078] S104. Transmit and store the standardized data of the manufactured product one.

[0079] In this embodiment, preferably, step S2 further includes the following steps:

[0080] S201. Obtain the raw data of the product;

[0081] S202. Adjust the original data of the product according to data that meets the product standardization requirements;

[0082] S203. Based on the adjusted data, generate standardized data for the new product to obtain standardized data for product two or standardized data for any product N;

[0083] S204. Transmit and store the standardized data of Product 2 or any Product N.

[0084] In this embodiment, preferably, the calculation formula for the data transmission rate R during the process of transmitting and storing the standardized data of the first production product in S104 is as follows:

[0085] R = (1 / T) * log 2 N;

[0086] Where T is the width of a digital pulse signal (full-width code) or the repetition period (return-to-zero code), in seconds; a digital pulse is also called a symbol, and N is the number of valid discrete values ​​taken by a symbol, also known as the modulation level number, and N takes an integer power of 2.

[0087] The principles and advantages of this invention:

[0088] This invention, by setting up a data standardization module, can generate standardized product data based on artificial intelligence, thereby facilitating standardized data for product production and improving product quality and production efficiency. By setting up a standardized data adjustment module, it can generate standardized data for new products based on artificial intelligence, facilitating standardized production of new products and increasing product diversity. Through data integration and data selection modules, it can store established standardized product data. When reproducing previously manufactured products, the data selection module can select from the stored standardized data of the original products, avoiding the need to recreate product data and further improving production efficiency.

[0089] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A data standardization system under artificial intelligence, characterized in that: The data standardization module, the standardized data adjustment module, and the data integration module are communicatively connected, and the data integration module and the data selection module are communicatively connected. The data standardization module is configured to generate standardized data of a product by artificial intelligence, use the generated standardized data as original data of the product, use the original data of the product for production of the product, store the original data of the product, and obtain standardized data of a first product; The standardized data adjustment module is configured to change the original data of the product by artificial intelligence, generate standardized data of a new product, use the standardized data of the new product for production of the new product, store the standardized data of the new product, and obtain standardized data of a second product or standardized data of any product N; The data integration module is configured to store the standardized data of the first product, the standardized data of the second product, and the standardized data of any product N; The data selection module is configured to select data stored in the data integration module, and select the standardized data of the first product, the standardized data of the second product, or the standardized data of any product N for production work; The data standardization module includes a product data establishment unit, a product data audit unit, a product data generation unit, and a first data transmission unit. The product data establishment unit is configured to establish standardized data of a product by artificial intelligence. The product data audit unit is configured to audit the established standardized data of the product, and determine whether the established standardized data of the product meets the standardization requirements of the product. The product data generation unit is configured to obtain data that meets the standardization requirements of the product, generate the data as the standardized data of the product, and obtain the standardized data of the first product. The first data transmission unit is configured to send the standardized data of the first product to the data integration module for storage. The standardized data adjustment module includes a data acquisition unit, a data adjustment unit, a new product generation unit, and a second data transmission unit. The data acquisition unit is configured to acquire original data of the product. The data adjustment unit is configured to adjust the original data of the product according to data that meets the standardization requirements of the product. The new product generation unit is configured to generate standardized data of a new product according to the adjusted data, and obtain the standardized data of the second product or the standardized data of any product N. The second data transmission unit is configured to send the standardized data of the second product or the standardized data of any product N to the data integration module for storage. The data sending method of the first data transmission unit includes: Step one, acquire data transmission scheduling resource size; Step two, acquire modulation and coding strategy and MCS index, the MCS index is used to find modulation order and TBS calculation factor; Step three, according to the data transmission scheduling resource size, modulation order, and TBS calculation factor, determine the transport block size TBS; Step four, according to the TBS determined above, transmit data through the transceiver; The process of determining the transport block size TBS in step three includes the following calculation formula: ； or ; wherein N RE is the data transmission scheduling resource size, Q m is the modulation order, C is the lth layer TBS calculation factor, m is a natural number greater than or equal to 1, Δ is a constant greater than or equal to 0, l is the layer number, and L is the total number of layers. The calculation formula of the data transmission rate R in the first data transmission unit is as follows: R=(1 / T)*log2N; Where, T is the width or repetition period of a digital pulse signal, unit is second; A digital pulse is also called a code element, N is the number of effective discrete values taken by a code element, also known as the number of modulation levels, N takes the integer power of 2 value.

2. The data standardization method under artificial intelligence, characterized in that: The method comprises the following steps: S1. generating standardized data of a product through artificial intelligence, taking the generated standardized data as the original data of the product, using the original data of the product for production of the product, and storing the original data of the product to obtain standardized data of a product one; S2. changing the original data of the product through artificial intelligence to generate new standardized data of the product, using the new standardized data of the product for production of a new product, and storing the new standardized data of the product to obtain standardized data of a product two or standardized data of any product N; S3. storing the standardized data of the product one and the standardized data of the product two and the standardized data of any product N; S4. selecting the stored data to select the standardized data of the product one, the standardized data of the product two or the standardized data of any product N for production work; The S1 further comprises the following steps: S101. establishing standardized data of a product through artificial intelligence; S102. auditing the established standardized data of the product to determine whether the established standardized data of the product meets the standardization requirements of the product, if it meets the standard, entering S103, if it does not meet the standard, entering S101 to reestablish the standardized data of the product; S103. obtaining data meeting the standardization requirements of the product, generating the data as the standardized data of the product, and obtaining the standardized data of the product one; S104. transmitting and storing the standardized data of the product one; The S2 further comprises the following steps: S201. obtaining the original data of the product; S202. adjusting the original data of the product according to the data meeting the standardization requirements of the product; S203. generating standardized data of a new product according to the adjusted data to obtain standardized data of a product two or standardized data of any product N; S204. transmitting and storing the standardized data of the product two or the standardized data of any product N; The calculation formula of the data transmission rate R in the process of transmitting and storing the standardized data of the product one in the S104 is as follows: R=(1 / T)*log2N; Wherein, T is the width or repetition period of a digital pulse signal, unit is second; a digital pulse is also called a symbol, N is the number of effective discrete values taken by a symbol, also called the number of modulation levels, N takes the integer power of 2 value.

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