Data fusion method for industrial data quality consistency test

Abstract

The application discloses an industrial data quality consistency test data fusion method and relates to the technical field of data fusion. The industrial data quality consistency test data fusion method comprises the following steps: collecting terminal memory evaluation, industrial data consistency verification and industrial data accuracy verification. The application obtains the collection terminal memory usage result by performing the collection terminal memory evaluation, then performs the industrial data synchronization verification and judges whether to perform the fusion data synchronization optimization, then performs the industrial data consistency verification to obtain the industrial data consistency verification result, finally performs the industrial data accuracy verification to obtain the industrial data accuracy verification result, and the accuracy of industrial data fusion is improved, and the problem of inaccurate industrial data fusion in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of data fusion technology, and in particular to a data fusion method for industrial data quality consistency testing. Background Technology

[0002] In the process of industrial data quality consistency testing and integration, the first step is to collect and preliminarily verify industrial data. The acquisition terminal uses sensors to collect raw industrial data from reference parts as test data. For example, a laser triangulation rangefinder collects height differences, flatness, or assembly gaps of mechanical parts, while a temperature sensor collects equipment temperature. This data is then compared with the original standard data of the reference parts for accuracy. Before comparison, data processing, such as noise reduction, is performed on both the test data and the original standard data. The deviation between the test data and the original standard data is calculated. If the deviation is within the standard deviation range, the acquisition terminal is considered qualified. If not, the acquisition terminal parameters are adjusted using a correction function, and the test is repeated until the test data is within the standard deviation range. The corresponding acquisition terminal is then marked as qualified. Next, the industrial data consistency is compared, and the final result is... The data acquisition terminal encapsulates the collected raw industrial data and uploads it to the cloud platform while simultaneously backing it up to a local file. After parsing and encapsulating the raw industrial data, the cloud platform compares the parsed industrial data with the raw industrial data backed up by the acquisition terminal to check their consistency. It also verifies whether the data format of the parsed and encapsulated raw industrial data conforms to the database's preset protocol standard, checking the consistency of their data formats. Finally, industrial data fusion is performed. The cloud platform stores the parsed industrial data in both the database and a cache. Based on the device number and timestamp of the industrial data in the cache, it retrieves the corresponding data from the database and compares whether the industrial data in the cache and the industrial data in the database completely match, calculating the percentage of completely matching industrial data, thus achieving industrial data fusion.

[0003] In the process of industrial data fusion, the raw industrial data collected by the acquisition terminal is subjected to accuracy testing to obtain the deviation value. Based on the deviation value, the parameters of the acquisition terminal are adjusted to filter out the raw industrial data corresponding to qualified testing and monitoring terminals. Then, the raw industrial data uploaded by qualified acquisition terminals is compared with the raw industrial data in local files to generate a consistency comparison result. The raw industrial data corresponding to the consistency comparison result is uploaded to the cloud platform and cached. Finally, the industrial data in the cache is compared with the industrial data in the database through the cloud platform to obtain the integrity comparison result. The industrial data corresponding to the integrity result is stored in the database, thereby achieving the accuracy of industrial data fusion.

[0004] For example, the Chinese invention patent application CN111639719B discloses a footprint image retrieval method based on spatiotemporal motion and feature fusion. Its steps include: 1. Preparation of a dataset of complete footprint images; 2. Establishment of a preprocessing module for complete footprint images; 3. Establishment of a preprocessing layer for multi-scale complete footprint images and overall normalization; 4. Weight initialization; 5. Establishment of a spatial feature extraction module; 6. Establishment of a temporal feature extraction module; 7. Network training, testing, and optimization, extracting spatial and temporal feature information from complete footprint images, and combining this with a specific feature fusion module to obtain the spatiotemporal information of complete footprint images, and clustering the differential feature information between different individuals.

[0005] For example, the Chinese invention patent application CN114579794B discloses a multi-scale fusion landmark image retrieval method and system based on feature consistency suggestions. The method includes: collecting landmark image data and constructing a landmark retrieval training dataset Tr and a test dataset Te; constructing a multi-scale fusion landmark image retrieval network based on feature consistency suggestions; calculating the loss value by constructing a total loss function, training the multi-scale landmark image retrieval network using the landmark retrieval training dataset Tr to obtain a multi-scale fusion landmark image retrieval model based on feature consistency suggestions; inputting the test dataset Te into the multi-scale fusion landmark image retrieval model based on feature consistency suggestions, and outputting the retrieval results of landmark images.

[0006] The above-mentioned technology has at least the following technical problems: During industrial data fusion, acquisition terminals may run multiple tasks simultaneously, leading to excessive memory load. Since the software timestamps of the acquisition terminals depend on the memory load thread for response and allocation, and high-priority main processing threads, such as data acquisition / protocol parsing, continuously occupy memory load threads, low-priority software timestamp recording threads cannot get scheduling opportunities. This causes the allocated software timestamp recording threads of the acquisition terminals to be blocked, resulting in asynchronous memory load thread responses when different acquisition terminals acquire industrial data of the same object. Consequently, the timestamps of these acquisition terminals are asynchronous. Therefore, when multiple acquisition terminals acquire industrial data at the same time, the inconsistent timestamps may cause the industrial data fusion process to compare industrial data from different times, leading to deviations in industrial data quality consistency testing and thus inaccurate industrial data fusion in industrial data quality consistency testing. Summary of the Invention

[0007] To address the technical problem of inaccurate industrial data fusion in industrial data quality consistency testing caused by excessive memory load on the acquisition terminal in existing technologies, this invention provides a data fusion method for industrial data quality consistency testing. The technical solution is as follows: On the one hand, a data fusion method for industrial data quality consistency testing is provided, including the following steps: During the industrial data fusion process, the memory usage of the acquisition terminal is evaluated to obtain the memory usage result of the acquisition terminal. Based on the memory usage result, it is determined whether to perform industrial data synchronization verification. Performing industrial data synchronization verification means determining whether to perform fused data synchronization optimization based on the industrial data synchronization verification result. Fusion data synchronization optimization includes: a preliminary time synchronization operation to reduce industrial data acquisition synchronization error and a timestamp adaptive compensation operation to continuously update the timestamp compensation duration of the acquisition terminal. After the acquisition terminal memory evaluation is qualified, the industrial data consistency verification result is obtained by performing industrial data consistency verification and it is determined whether to perform industrial data consistency optimization. Industrial data consistency optimization includes: an industrial data migration operation to improve the efficiency of industrial data quality consistency testing and an industrial data quality consistency test to reduce errors in industrial data types. After the industrial data consistency verification is qualified, it is determined whether to perform industrial data accuracy optimization based on the industrial data accuracy verification result obtained by performing industrial data accuracy verification. Industrial data accuracy optimization includes: an industrial data sharding operation to improve the accuracy of industrial data fusion and an industrial data transmission adjustment to improve the industrial data transmission rate.

[0008] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. By performing memory assessment on the acquisition terminal to obtain memory usage results and determine whether to perform industrial data synchronization verification, it can accurately measure the memory adaptability of the acquisition terminal, reduce inconsistencies in industrial data caused by uneven memory allocation, improve industrial data transmission efficiency, and thus enhance the reliability of industrial data fusion. By performing industrial data consistency verification to obtain industrial data consistency verification results and determine whether to perform industrial data consistency optimization, it can accurately assess the pass rate of industrial data consistency verification, reduce interference caused by abnormal industrial data to industrial data quality consistency testing, improve the accuracy of industrial data consistency verification, and thus enhance the accuracy of industrial data fusion. By performing industrial data accuracy verification to obtain industrial data accuracy verification results and determine whether to perform industrial data accuracy optimization, it can accurately assess the accuracy of industrial data fusion, reduce errors caused by abnormal industrial data in industrial data fusion, and thus enhance the stability of industrial data fusion.

[0009] 2. An industrial data synchronization verification result is obtained by harmonic averaging the abnormal acquisition terminal memory usage index and the acquisition terminal timestamp delay result to reflect the degree of industrial data synchronization. Compared with the existing technology, because the low-priority software timestamp recording thread cannot get a scheduling opportunity, the software timestamp recording thread of the allocated acquisition terminal is blocked, resulting in the timestamp of the acquisition time of these acquisition terminals being out of sync. This method comprehensively considers the impact of acquisition terminal memory usage and timestamp delay on industrial data synchronization, which helps to improve the reliability of industrial data and thus ensure the overall efficiency and security of industrial data fusion.

[0010] 3. The industrial data consistency verification result is obtained by harmonic averaging the industrial data synchronization verification index and the industrial data power result. Compared with the existing technology, due to the inconsistency of timestamps, the industrial data fusion may compare industrial data from different times, which may lead to deviations in the industrial data quality consistency test. This helps to improve the accuracy of industrial data consistency verification, thereby improving the reliability of industrial data fusion.

[0011] 4. The industrial data accuracy verification result is obtained by harmonic averaging the qualified industrial data consistency verification index and the industrial data transmission result. Compared with the existing technology, the deviation in industrial data quality consistency test leads to interference with the industrial data transmission rate, which in turn leads to deviation in industrial data fusion. This helps to improve the effectiveness of industrial data fusion, thereby improving the integrity and reliability of industrial data fusion. Attached Figure Description

[0012] Figure 1 A flowchart illustrating a data fusion method for industrial data quality consistency testing provided in this application embodiment; Figure 2 A schematic diagram illustrating the architecture of an industrial data quality consistency test data fusion method provided in this application embodiment, including the evaluation of the acquisition terminal memory and the execution of industrial data consistency verification; Figure 3 A schematic diagram of the architecture for performing industrial data accuracy verification in a data fusion method for industrial data quality consistency testing provided in this application embodiment; Figure 4 This is a schematic diagram illustrating the framework for optimizing the accuracy of industrial data using a data fusion method for industrial data quality consistency testing, as provided in an embodiment of this application. Detailed Implementation

[0013] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0014] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0015] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0016] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0017] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0018] This invention provides a data fusion method for industrial data quality consistency testing, such as... Figure 1 The flowchart shown illustrates a data fusion method for industrial data quality consistency testing, including the following steps: Terminal memory assessment: By performing a terminal memory assessment, the memory usage of the terminal is obtained. Based on the memory usage result, it is determined whether to perform industrial data synchronization verification. If the obtained terminal memory usage result is not greater than the preset terminal memory usage result, industrial data consistency verification is performed; otherwise, industrial data synchronization verification is performed. Performing terminal memory assessment helps to measure terminal memory usage and improve the integrity and real-time performance of industrial data acquisition. Industrial data includes: control commands of production equipment, cutting speed of production equipment, temperature of production equipment, etc., thereby improving the reliability of industrial data fusion.

[0019] Industrial data consistency verification: Industrial data consistency verification is performed to obtain the results. Based on the results, it is determined whether to perform industrial data consistency optimization. If the industrial data synchronization verification result is not greater than the preset result, industrial data consistency verification is performed; otherwise, data synchronization optimization is performed. Performing industrial data consistency verification helps to measure the pass rate of industrial data consistency verification, improve the pass rate of industrial data, and thus enhance the stability of industrial data fusion.

[0020] Industrial data accuracy verification: Industrial data accuracy verification is performed to obtain the verification results. Based on the verification results, it is determined whether to optimize the industrial data accuracy. If the verification results are not less than the preset verification results, industrial data fusion and industrial fusion data verification are performed. Otherwise, industrial data accuracy optimization is performed. Performing industrial data accuracy verification helps to measure the accuracy of industrial data, reduce inaccuracies caused by delays or loss of industrial data, improve the integrity and reliability of industrial data, and thus enhance the qualification of industrial data fusion.

[0021] like Figure 2 The diagram illustrates the architecture of an industrial data quality consistency test data fusion method according to an embodiment of this application, including execution of acquisition terminal memory evaluation and execution of industrial data consistency verification. First, acquisition terminal memory evaluation is performed to determine if the acquisition terminal memory usage result is not greater than a preset acquisition terminal memory usage result. If not, industrial data synchronization verification is performed to determine if the industrial data synchronization verification result is not greater than a preset industrial data synchronization verification result. If not, fusion data synchronization optimization is performed. Then, it is determined whether the industrial data synchronization verification result re-acquired after fusion data synchronization optimization is still not greater than the preset industrial data synchronization verification result. If yes, the industrial data consistency verification stage begins; otherwise, the data is sent... If an industrial data synchronization verification anomaly is detected, a pre-defined personnel will be notified. If the data acquisition terminal memory usage result is not greater than the pre-defined data acquisition terminal memory usage result, or if the industrial data synchronization verification result is not greater than the pre-defined industrial data synchronization verification result, an industrial data consistency verification will be performed. Then, it will be determined whether the industrial data consistency verification result is not less than the pre-defined industrial data consistency verification result. If yes, an industrial data accuracy verification will be performed. If no, industrial data consistency optimization will be performed. Afterward, it will be determined whether the industrial data consistency verification result obtained by re-performing the industrial data consistency verification is not less than the pre-defined industrial data consistency verification result. If yes, an industrial data accuracy verification will be performed. If no, an industrial data consistency verification anomaly will be sent to the pre-defined personnel.

[0022] like Figure 3The diagram shown illustrates the architecture of an industrial data accuracy verification process within a data fusion method for industrial data quality consistency testing, as provided in this application embodiment. First, an industrial data accuracy verification is performed to determine if the verification result is not less than a preset industrial data accuracy verification result. If so, industrial data fusion and industrial fusion data verification are performed. Based on the obtained industrial fusion data verification result, it is determined whether the industrial data fusion accuracy conditions are met. If met, an industrial fusion data qualification notification is sent to preset personnel; otherwise, an industrial fusion data anomaly notification is sent to preset personnel. If the industrial data accuracy verification result is not less than the preset industrial data accuracy verification result, industrial data accuracy optimization is performed. It is determined whether the data obtained after industrial data accuracy optimization is not less than the preset industrial data consistency verification result. If so, industrial data fusion and industrial fusion data verification are performed; otherwise, an industrial data accuracy optimization anomaly notification is sent to preset personnel.

[0023] It should be added that, prior to the design of the data fusion method for industrial data quality consistency testing in this application, a database storing various types of preset data is established. The database includes, but is not limited to, preset acquisition terminal memory indicators, preset acquisition terminal memory usage results, preset industrial data synchronization verification results, etc., and the various values ​​therein are directly set by technical personnel.

[0024] In this embodiment, firstly, a memory evaluation of the acquisition terminal is performed. Based on the obtained memory usage results, the acceptable level of memory usage of the acquisition terminal is assessed, thereby increasing the memory allocated to the timestamp recording thread of the acquisition terminal software. Next, after the memory evaluation of the acquisition terminal is qualified, an industrial data consistency check is performed. Based on the obtained industrial data consistency check results, the acceptable level of industrial data consistency check is assessed, thereby improving the uniformity of industrial data comparison at different times during industrial data fusion. Finally, after the industrial data consistency check is qualified, an industrial data accuracy check is performed. Based on the obtained industrial data accuracy check results, the accuracy of the industrial data is assessed, thereby reducing deviations in industrial data quality consistency testing and achieving the effect of improving the accuracy of industrial data fusion in an industrial data quality consistency test.

[0025] Furthermore, the specific process of obtaining the memory usage results of the data acquisition terminals by performing a memory assessment is as follows: The memory usage of the data acquisition terminals is quantified by comparing the terminal memory index with a preset index, i.e., a ratio calculation is performed to obtain the memory usage result reflecting the memory usage of the data acquisition terminals; the preset memory index is represented by the average value of the memory index over a historical time period; the memory usage of each data acquisition terminal during the preset memory assessment time period is monitored by a dedicated monitoring probe, and its average value is used as the memory index; the preset memory assessment time period refers to the preset time period corresponding to the execution of the memory assessment by preset personnel; based on the obtained memory usage result, it is determined whether to perform an industrial data synchronization check; if the obtained memory usage result is not greater than the preset memory usage result, an industrial data consistency check is performed; otherwise, an industrial data synchronization check is performed. The preset memory usage result is represented by the average value of the memory usage results over a historical time period.

[0026] In this embodiment, performing a memory assessment of the acquisition terminal helps to accurately measure the memory usage of the acquisition terminal, ensuring the operational stability of the acquisition terminal and the accuracy of industrial data, reducing the consistency of industrial data transmission due to memory limitations of the acquisition terminal, ensuring the logical relationships and content integrity during industrial data acquisition, reducing the delay in industrial data processing caused by memory overflow of the acquisition terminal, thereby ensuring the synchronization of industrial data among various acquisition terminals, and thus improving the quality and accuracy of industrial data acquisition.

[0027] Furthermore, the specific process for performing industrial data synchronization verification is as follows: An industrial data synchronization verification result reflecting the degree of industrial data synchronization is obtained by harmonic averaging the abnormal acquisition terminal memory usage index and the acquisition terminal timestamp delay result. A higher acquisition terminal memory occupancy rate means a higher acquisition terminal memory usage index, slower industrial data processing, and a slower industrial data transmission rate, resulting in a higher acquisition terminal timestamp delay result. It is then determined whether the obtained industrial data synchronization verification result is less than the preset industrial data synchronization verification result. The preset industrial data synchronization verification result is represented by the average of industrial data synchronization verification results over historical time periods. The abnormal acquisition terminal memory usage index is represented by weighting the abnormal acquisition terminal memory usage result and the memory impact rate (reflecting the impact of the abnormal acquisition terminal memory usage result on the industrial data synchronization verification result), i.e., the result of assigning weights to multiple variables. The abnormal acquisition terminal memory usage result is represented by the acquisition terminal memory usage result corresponding to a result greater than the preset acquisition terminal memory usage result. This is used to reflect abnormal memory usage in the data acquisition terminal. The data acquisition terminal timestamp delay result is quantified by comparing the timestamp delay index with the preset timestamp delay index, and then weighted by the delay impact rate, which reflects the degree of influence of the data acquisition terminal timestamp delay result on the industrial data synchronization verification result. This result reflects the data acquisition terminal timestamp delay situation. The preset timestamp delay index is represented by the average of the timestamp delay index over a historical time period. The time difference between the timestamps of each data acquisition terminal and the timestamps of the cloud platform during the preset industrial data synchronization verification time period is monitored by the clock module, and the average of these differences is used as the timestamp delay index. The preset industrial data synchronization verification time period refers to the preset time period for performing industrial data synchronization verification, which is set in advance by the personnel. If the industrial data synchronization verification result is not greater than the preset industrial data synchronization verification result, industrial data consistency verification is performed; otherwise, fusion data synchronization optimization is performed. Fusion data synchronization optimization refers to the optimization of the industrial data corresponding to the next industrial data synchronization verification.

[0028] It should be added that the abnormal acquisition terminal memory usage index and acquisition terminal timestamp delay result are respectively input into the mapping set. The mapping set is a result representation constructed by preset personnel after mapping the abnormal acquisition terminal memory usage index and acquisition terminal timestamp delay result with the corresponding memory impact rate and delay impact rate one by one through preset mapping relationship. In this embodiment, the values ​​of memory impact rate and delay impact rate are both in the range of 0 to 1.

[0029] In this embodiment, performing industrial data synchronization verification helps to accurately assess the timestamp delay of the acquisition terminal, improve the synchronization of industrial data, ensure the efficiency, accuracy and stability of industrial data transmission and processing, reduce the impact of industrial data lag during synchronization on the real-time performance and accuracy of industrial data fusion, and enhance the efficient and accurate synchronization capability of industrial data during real-time acquisition and transmission, thereby ensuring the stability and reliability of the industrial data fusion process.

[0030] Furthermore, the specific process for optimizing the synchronization of fused data is as follows: First, perform industrial data timestamp synchronization. This means that when the number of industrial data signal receptions reaches a multiple of the trigger threshold, the cloud platform sends a trigger signal to the secondary acquisition terminal in real time. The secondary acquisition terminal uses the timestamp corresponding to the acquired trigger signal as the synchronization signal timestamp. The number of industrial data signal receptions represents the cumulative number of times the cloud platform receives the initial signal from the initial acquisition terminal. The initial acquisition terminal is the first acquisition terminal to transmit industrial data to the cloud platform. The secondary acquisition terminal is any acquisition terminal other than the initial acquisition terminal. The initial signal represents the signal from the initial acquisition terminal to the cloud platform. The trigger signal represents the Kth initial signal from the initial acquisition terminal, where K is the trigger count, which is the product of the number of trigger signals received by the secondary acquisition terminal and the trigger threshold, used to achieve precise alignment of timestamps for each acquisition terminal. The trigger threshold is preset by a designated person. Performing industrial data timestamp synchronization reduces industrial data synchronization errors to improve industrial data alignment, providing a stable data source for subsequent multi-sensor fusion. Second, perform timestamp adaptive compensation. This means that based on dynamic frequency... The correction algorithm adjusts the time stamp compensation duration step by step, gradually increasing it to reduce delays caused by timestamp drift at the data acquisition terminal, thereby improving the timeliness of industrial data. The current time stamp compensation duration is less than the preset maximum compensation duration. This maximum compensation duration is pre-set by designated personnel and monitored via a clock module. The preset compensation duration ratio is obtained by inputting industrial data synchronization verification results and timestamp delay indicators into a compensation mapping set. This compensation mapping set, obtained by designated personnel based on historical experience, reflects the data acquisition process. The system represents a mapping set indicating the pass / failability of the timestamp compensation duration at the collection terminal. This compensation mapping set reflects the mapping relationship between the industrial data synchronization verification result and the timestamp delay index, and the corresponding preset timestamp compensation duration ratio. Adaptive timestamp compensation is performed to refine the timestamp compensation process and reduce the one-way accumulation of industrial data synchronization errors at the collection terminal. If the industrial data synchronization verification result re-acquired after data fusion optimization is still greater than the preset industrial data synchronization verification result, an industrial data synchronization verification anomaly is sent to the preset personnel, and the corresponding industrial data is stored in a local file. Otherwise, an industrial data consistency verification is performed.

[0031] In this embodiment, optimizing the synchronization of fused data helps reduce industrial data consistency errors, improve the accuracy and stability of industrial data fusion, ensure that the industrial data uploaded by each acquisition terminal is accurately aligned in time, reduce the offset of industrial data caused by the timestamp deviation of the acquisition terminal, improve the alignment accuracy of industrial data by adjusting the timestamp of the acquisition terminal, provide a reliable industrial data foundation, and thus ensure the stability and accuracy of industrial data fusion.

[0032] Furthermore, the specific process of industrial data consistency verification is as follows: First, determine whether the acquired industrial data consistency verification result is greater than the preset industrial data consistency verification result. The preset industrial data consistency verification result is represented by the average of industrial data consistency verification results over a historical period. The industrial data consistency verification result is represented by the harmonic average of the industrial data synchronization verification index and the industrial data power result, used to reflect the pass rate of the industrial data consistency verification. A higher transmission power from the acquisition terminal indicates a higher industrial data power result, a smaller time dispersion effect of the channel impulse response, and thus a smaller acquisition terminal delay, resulting in a higher industrial data synchronization verification index. The industrial data power result is represented by a weighted average of the industrial data power index and the preset industrial data power index, weighted by the corresponding power regulation rate used to reflect the influence of the industrial data power result on the industrial data consistency verification result, used to reflect the completeness of the industrial data consistency verification. The preset industrial data power index is represented by the harmonic average of the industrial data power index over a historical period. The average value represents the output power of each acquisition terminal monitored by a power meter during a preset industrial data consistency verification period. This average value is then proportionally quantified with the cloud platform's received power during the same period, resulting in the industrial data power index. The preset industrial data consistency verification period refers to the pre-defined timeframe for executing industrial data consistency verification. The industrial data synchronization verification index is obtained by proportionally quantifying the preset industrial data synchronization verification result with the qualified industrial data synchronization verification result, and then weighting this result with the corresponding synchronization verification control rate, which reflects the impact of the industrial data synchronization verification index on the industrial data consistency verification result. This result reflects the qualification level of the industrial data synchronization verification result. A qualified industrial data synchronization verification result is represented by an industrial data synchronization verification result that is less than the preset industrial data synchronization verification result. If the industrial data consistency verification result is not less than the preset industrial data consistency verification result, industrial data accuracy verification is performed; otherwise, industrial data consistency optimization is performed.

[0033] It should be added that, by inputting the industrial data synchronization verification index and industrial data power result into the mapping set, the industrial data synchronization verification index and industrial data power result are normalized based on a data normalization algorithm. The transmission power of the acquisition terminal and the industrial data synchronization verification index and industrial data power result obtained after data normalization are input into a linear regression model, and the corresponding synchronization verification control rate and power control rate are obtained through linear regression fitting. Finally, the ranges of the acquisition terminal transmission power, industrial data synchronization verification index, and industrial data power result are mapped to a preset interval, which is pre-set by preset personnel, thereby establishing the mapping set. In this embodiment, the values ​​of the synchronization verification control rate and power control rate are both in the range of 0 to 1. Since a higher transmission power of the acquisition terminal means a higher industrial data power result, resulting in a higher rate of industrial data transmission and a lower industrial data transmission delay, the industrial data synchronization is higher, which means a higher industrial data synchronization verification index.

[0034] In this embodiment, performing industrial data consistency verification helps improve the consistency, accuracy, and integrity of industrial data, thereby improving the reliability of industrial data, reducing interference with industrial data fusion caused by industrial data acquisition errors, ensuring the quality of the industrial data fusion process, and thus ensuring the overall efficiency and security of industrial data fusion, thereby enhancing the stability, sustainability, and integrity of the entire industrial data fusion process.

[0035] Furthermore, industrial data consistency optimization includes performing industrial data migration operations and conducting industrial data quality consistency tests. Performing industrial data migration operations means migrating abnormal industrial data to local files on the acquisition terminal and marking the corresponding abnormal industrial data as test industrial data. Abnormal industrial data is represented by industrial data that is less than the preset industrial data consistency verification result. Test industrial data refers to the industrial data corresponding to the industrial data quality consistency test. Performing industrial data migration operations is used to reduce the error of industrial data quality consistency testing, thereby improving the efficiency of industrial data quality consistency testing.

[0036] In this embodiment, optimizing industrial data consistency helps improve industrial data quality and testing efficiency, enhances the consistency and integrity of industrial data, thereby improving industrial data quality and industrial data fusion efficiency, ensuring the accuracy of industrial data at different stages, reducing errors in industrial data quality consistency verification, ensuring the accuracy and consistency of industrial data during the fusion process, improving the accuracy of industrial data quality consistency testing, and ultimately improving the accuracy of industrial data quality testing.

[0037] Furthermore, the specific process for conducting industrial data quality consistency testing is as follows: First, the test industrial data is cleaned to identify missing and duplicate data. Missing data indicates that the acquisition terminals did not collect the industrial data corresponding to the industrial data type in the database; duplicate data indicates that the acquisition terminals collected industrial data corresponding to the same industrial data type. Second, the qualified test industrial data is converted into a unified format. A difference analysis is performed between the preset number of test industrial data types obtained from the database and the number of qualified test industrial data types to obtain the qualified test industrial data deviation result. If the qualified test industrial data deviation result is less than 0, the industrial data consistency verification is re-executed; otherwise, an industrial data quality consistency test anomaly prompt is sent to the preset personnel. Qualified test industrial data refers to the test industrial data obtained in the first step; the number of test industrial data types represents the number of types of test industrial data. Industrial data quality consistency testing is used to reduce industrial data errors, improve industrial data processing efficiency, and thus enhance the qualification of industrial data fusion. If the industrial data consistency verification result obtained after re-execution is greater than the preset industrial data consistency verification result, an industrial data accuracy verification is performed; otherwise, an industrial data consistency verification anomaly prompt is sent to the preset personnel.

[0038] In this embodiment, conducting industrial data quality consistency testing helps improve the credibility and processing efficiency of industrial data, reduces industrial data fusion errors caused by missing, duplicate, or inconsistent formats of industrial data, and reduces the impact of abnormal industrial data on industrial data fusion, thereby improving the accuracy of data quality detection and thus improving the precision of industrial data consistency testing and the completeness of industrial data fusion.

[0039] Furthermore, the specific process of performing industrial data accuracy verification is as follows: First, determine whether the obtained industrial data accuracy verification result is greater than the preset industrial data accuracy verification result. The preset industrial data accuracy verification result is represented by the average of industrial data accuracy verification results over a historical period. Second, the industrial data accuracy verification result is represented by the harmonic average of the qualified industrial data consistency verification index and the industrial data transmission result, reflecting the accuracy of the industrial data. Higher industrial data consistency verification requirements mean a larger qualified industrial data consistency verification index, resulting in more computation and processing time required for the industrial data. This will occupy the bandwidth of the industrial data transmission channel to some extent, causing delays in data transmission and thus a slower industrial data transmission rate, ultimately leading to a smaller industrial data transmission result. Third, the qualified industrial data consistency verification index is determined by the qualified industrial data consistency verification result and the corresponding consistency verification index, which reflects the degree of influence of the qualified industrial data consistency verification index on the industrial data accuracy verification result. The weighted result of the rate is used to reflect the pass rate of industrial data consistency verification. A pass industrial data consistency verification result is represented by an industrial data consistency verification result greater than the preset industrial data consistency verification result. The industrial data transmission rate during the preset industrial data accuracy verification time period is monitored by a network protocol analyzer. After quantifying the ratio of the industrial data transmission rate to the preset industrial data transmission rate, the result is weighted by the transmission rate control rate, which reflects the impact of the industrial data transmission result on the industrial data accuracy verification result, to obtain the industrial data transmission result reflecting the industrial data transmission situation. The preset industrial data accuracy verification time period refers to the preset time period for performing industrial data accuracy verification, which is set in advance by the personnel. The preset industrial data transmission rate is represented by the average industrial data transmission rate of the historical time period. If the industrial data accuracy verification result is not less than the preset industrial data accuracy verification result, industrial data fusion and industrial fusion data verification are performed; otherwise, industrial data accuracy optimization is performed.

[0040] It should be added that the qualified industrial data consistency verification index and the industrial data transmission result are respectively input into the mapping set. The mapping set is a result representation constructed by preset personnel through preset mapping relationships to map the qualified industrial data consistency verification index and the industrial data transmission result to the corresponding consistency verification rate and transmission rate control rate. In this embodiment, the values ​​of the consistency verification rate and the transmission rate control rate are both in the range of 0 to 1.

[0041] In this embodiment, performing industrial data accuracy verification helps to accurately assess the accuracy of industrial data consistency testing, ensure the reliability and effectiveness of industrial data, reduce the impact of industrial data transmission rate on industrial data accuracy, reduce interference with industrial data fusion caused by industrial data inconsistency, improve the integrity and accuracy of industrial data, and ensure the accuracy of industrial data fusion, thereby improving the accuracy, reliability and consistency of industrial data fusion.

[0042] Furthermore, the specific process for optimizing the accuracy of industrial data is as follows: Performing industrial data sharding; this involves dividing the industrial data synchronized in real-time between the acquisition terminal and the cloud platform into industrial data shards, and then performing industrial data shard verification; the specific process for industrial data shard verification is as follows: Step one, performing data shard extraction to improve the accuracy of industrial data processing; this involves progressively increasing the number of industrial data shards by a predetermined step size corresponding to the proportion of preset industrial data shards. Progressively increasing the number of industrial data shards helps improve the flexibility of the industrial data sharding process, thereby improving the accuracy and efficiency of industrial data fusion and processing, and through storage control... The system monitors the number of industrial data fragments; if the number of industrial data fragments is less than the preset maximum number of industrial data fragments (set in advance by designated personnel), the preset industrial data fragment ratio is obtained by inputting the industrial data accuracy verification results and the original industrial data volume into a fragment number mapping set. This fragment number mapping set, obtained by designated personnel based on historical experience, reflects the qualification level of industrial data fragment transmission and reflects the mapping relationship between the industrial data accuracy verification results, the original industrial data volume, and the corresponding preset industrial data fragment ratio. Step two involves performing a data fragment verification operation; this operation is based on CRC (Cyclic CRC)... Redundancy Check (CRBC) is a segmented verification process that compares the industrial data and data verification codes of the corresponding industrial data segments between the acquisition terminal and the cloud platform to obtain the verification results. Data segmentation verification is performed to ensure the consistency of the target industrial data segments, thereby improving the accuracy of industrial data fusion. If the industrial data accuracy verification result obtained after the industrial data segmentation operation is greater than the preset industrial data accuracy verification result, industrial data fusion and industrial fusion data verification are performed; otherwise, industrial data transmission adjustment is performed. Industrial data transmission adjustment means that for the industrial data corresponding to the next industrial data accuracy verification, industrial data transmission adjustment is performed based on a sliding window algorithm and a time series algorithm, with the industrial data type acquisition volume gradually increasing in step size according to the preset industrial data type acquisition volume ratio. The industrial data type acquisition volume is less than the preset maximum industrial data type acquisition volume, which is pre-set by preset personnel and monitored through an industrial protocol gateway. The preset industrial data type acquisition volume ratio is obtained by inputting the industrial data accuracy verification result and the industrial data type quantity into the type acquisition mapping set.The type acquisition mapping set is a mapping set representation obtained by preset personnel based on historical experience to reflect the qualification level of industrial data type acquisition. This set reflects the mapping relationship between the industrial data accuracy verification results and the quantity of industrial data types, and the corresponding preset industrial data type acquisition volume ratio. The industrial data type acquisition volume represents the data type corresponding to the industrial data collected by each acquisition terminal. If the industrial data type acquisition volume is less than the preset maximum industrial data type acquisition volume, industrial data transmission adjustment is performed to improve the extraction and compression of industrial data features to reduce redundancy in industrial data transmission, thereby improving the accuracy of industrial data accuracy verification. If the industrial data accuracy verification result re-acquired after industrial data transmission adjustment is greater than the preset industrial data accuracy verification result, industrial data fusion and industrial fusion data verification are performed; otherwise, an industrial data transmission adjustment anomaly is sent to the preset personnel.

[0043] It should be added that, such as Figure 4 The diagram illustrates the framework for optimizing industrial data accuracy in a data fusion method for industrial data quality consistency testing provided in this application embodiment. First, industrial data accuracy verification is performed to determine if the industrial data accuracy verification result is not less than a preset industrial data accuracy verification result. If yes, industrial data fusion and industrial fused data verification are performed. If no, industrial data accuracy optimization is performed. Industrial data accuracy optimization involves first performing industrial data sharding, then determining if the data obtained after sharding is not less than a preset industrial data consistency verification result. If yes, industrial data fusion and industrial fused data verification are performed. If no, industrial data transmission adjustment is performed. Next, it is determined if the data obtained after industrial data transmission adjustment is not less than a preset industrial data consistency verification result. If yes, industrial data fusion and industrial fused data verification are performed. If no, an industrial data transmission adjustment anomaly is sent to a preset personnel.

[0044] In this embodiment, optimizing the accuracy of industrial data helps improve the accuracy and consistency of industrial data, thereby enhancing the precision of industrial data processing and fusion, reducing interference in industrial data fusion caused by inconsistencies in industrial data, increasing the flexibility of industrial data processing, reducing redundancy in industrial data, improving the efficiency of industrial data transmission, and thus ensuring the reliability and efficiency of industrial data fusion.

[0045] Furthermore, the specific process for performing industrial convergence data verification is as follows: The volume of industrial convergence data during a preset industrial convergence data verification time period is monitored using a network traffic analyzer. This volume is then compared to a preset industrial convergence data volume to quantify the proportion, resulting in an industrial convergence data verification result that reflects the pass / fail status of the industrial convergence data verification. The preset industrial convergence data verification time period refers to the preset time period for which preset personnel pre-set the execution of the industrial convergence data verification. The industrial convergence data volume refers to the volume of industrial data greater than the preset industrial data accuracy verification result. Based on the obtained industrial convergence data verification result, it is determined whether the industrial data convergence accuracy condition is met. The industrial data convergence accuracy condition indicates that the industrial convergence data volume equals the preset industrial convergence data volume. The preset industrial convergence data volume is retrieved from the database. If the industrial convergence data verification result meets the industrial data convergence accuracy condition, an industrial convergence data pass / fail notification is sent to the preset personnel; otherwise, an industrial convergence data error notification is sent to the preset personnel.

[0046] In this embodiment, performing industrial data fusion verification helps to accurately assess the accuracy of industrial data fusion, improve the effectiveness of industrial data fusion, ensure the accuracy and reliability of industrial data fusion, reduce the interference of industrial data fusion anomalies on the integrity and accuracy of industrial data, and improve the stability of the industrial data fusion process, thereby improving the integrity and reliability of industrial data.

[0047] In summary, the embodiments of this application, by performing memory assessment of the acquisition terminal to obtain the memory usage results and determining whether to perform industrial data synchronization verification, can accurately measure the memory adaptability of the acquisition terminal, reduce inconsistencies in industrial data caused by uneven memory allocation, improve industrial data transmission efficiency, and thus enhance the reliability of industrial data fusion. By performing industrial data consistency verification to obtain the industrial data consistency verification results and determining whether to perform industrial data consistency optimization, it can accurately assess the pass rate of industrial data consistency verification, reduce interference caused by abnormal industrial data to industrial data quality consistency testing, improve the accuracy of industrial data consistency verification, and thus improve the accuracy of industrial data fusion. By performing industrial data accuracy verification to obtain the industrial data accuracy verification results and determining whether to perform industrial data accuracy optimization, it can accurately assess the accuracy of industrial data fusion, reduce errors caused by abnormal industrial data in industrial data fusion, and thus improve the stability of industrial data fusion.

[0048] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A data fusion method for industrial data quality consistency testing, characterized in that, Includes the following steps: During the industrial data fusion process, the memory usage of the acquisition terminal is evaluated to obtain the memory usage results of the acquisition terminal. Based on the memory usage results of the acquisition terminal, it is determined whether to perform industrial data synchronization verification. The execution of industrial data synchronization verification means determining whether to perform fusion data synchronization optimization based on the industrial data synchronization verification results. The fusion data synchronization optimization includes: a preliminary time synchronization operation to reduce industrial data acquisition synchronization error and a timestamp adaptive compensation operation to continuously update the timestamp compensation duration of the acquisition terminal. After the terminal memory evaluation is qualified, the industrial data consistency verification is performed to obtain the industrial data consistency verification result and determine whether to perform industrial data consistency optimization. The industrial data consistency optimization includes: industrial data migration operation to improve the efficiency of industrial data quality consistency testing and industrial data quality consistency testing to reduce the error of industrial data types. After the industrial data consistency verification is passed, the industrial data accuracy verification result obtained by performing the industrial data accuracy verification determines whether to perform industrial data accuracy optimization. The industrial data accuracy optimization includes: industrial data sharding operation to improve the accuracy of industrial data fusion and industrial data transmission adjustment to improve the industrial data transmission rate. The specific process of obtaining the memory usage results of the acquisition terminal by performing a memory evaluation of the acquisition terminal is as follows: The memory usage results of the data acquisition terminals are obtained by quantifying the proportion of the collected terminal memory indicators and preset data acquisition terminal memory indicators to reflect the memory usage of the data acquisition terminals. Whether to perform industrial data synchronization verification is determined based on the obtained memory usage results of the acquisition terminal; If the obtained memory usage result of the acquisition terminal is not greater than the preset memory usage result of the acquisition terminal, then perform industrial data consistency verification; otherwise, perform industrial data synchronization verification. The specific process for performing industrial data synchronization verification is as follows: The industrial data synchronization verification result, which reflects the degree of industrial data synchronization, is obtained by harmonic averaging the abnormal acquisition terminal memory usage index and the acquisition terminal timestamp delay result. Determine whether the obtained industrial data synchronization verification result is less than the preset industrial data synchronization verification result; The abnormal acquisition terminal memory usage index is represented by the result of weighting the abnormal acquisition terminal memory usage result and the memory impact rate, which reflects the degree of influence of the abnormal acquisition terminal memory usage result on the industrial data synchronization verification result. The timestamp delay result of the acquisition terminal is quantified by the ratio of the timestamp delay index and the preset timestamp delay index, and then weighted by the delay impact rate, which is used to reflect the degree of influence of the timestamp delay result of the acquisition terminal on the synchronization verification result of industrial data. This result is used to reflect the timestamp delay of the acquisition terminal. If the industrial data synchronization verification result is not greater than the preset industrial data synchronization verification result, perform industrial data consistency verification; otherwise, perform fusion data synchronization optimization. The aforementioned optimization of data synchronization refers to the optimization of the industrial data corresponding to the next industrial data synchronization verification. The specific process of industrial data consistency verification is as follows: Determine whether the obtained industrial data consistency verification result is greater than the preset industrial data consistency verification result; The industrial data consistency verification result is represented by the harmonic average of the industrial data synchronization verification index and the industrial data power result, and is used to reflect the degree of passability of the industrial data consistency verification. The industrial data power result is represented by the industrial data power index and the preset industrial data power index after being quantified as a proportion, and then weighted with the corresponding power regulation rate used to reflect the degree of influence of the industrial data power result on the industrial data consistency verification result. This result is used to reflect the completeness of the industrial data consistency verification. The industrial data power index is represented by the ratio of the average output power of each acquisition terminal to the received power of the cloud platform. The industrial data synchronization verification index is represented by the result of weighting the industrial data synchronization verification result and the qualified industrial data synchronization verification result by quantifying the proportion of the preset industrial data synchronization verification result and the qualified industrial data synchronization verification result, and then weighting it with the synchronization verification control rate, which is used to reflect the degree of influence of the industrial data synchronization verification index on the industrial data consistency verification result. The qualified industrial data synchronization verification result is represented by an industrial data synchronization verification result that is less than the preset industrial data synchronization verification result. If the industrial data consistency verification result is not less than the preset industrial data consistency verification result, perform industrial data accuracy verification; otherwise, perform industrial data consistency optimization. The specific process for performing industrial data accuracy verification is as follows: Determine whether the accuracy verification result of the acquired industrial data is greater than the preset industrial data accuracy verification result; The industrial data accuracy verification result is represented by the harmonic average of the qualified industrial data consistency verification index and the industrial data transmission result, and is used to reflect the accuracy of the industrial data. The qualified industrial data consistency verification index is represented by the result of weighting the qualified industrial data consistency verification result and the corresponding consistency verification rate, which reflects the degree of influence of the qualified industrial data consistency verification index on the industrial data accuracy verification result, and is used to reflect the degree of qualification of industrial data consistency verification. The qualified industrial data consistency verification result is represented by an industrial data consistency verification result that is greater than the preset industrial data consistency verification result. The industrial data transmission result is represented by a weighted result after the industrial data transmission rate is quantified by the ratio of the preset industrial data transmission rate and the industrial data transmission rate, and then combined with the transmission rate adjustment rate used to reflect the degree of influence of the industrial data transmission result on the industrial data accuracy verification result. This result is used to reflect the industrial data transmission situation. If the industrial data accuracy verification result is not less than the preset industrial data accuracy verification result, then industrial data fusion and industrial fusion data verification are performed; otherwise, industrial data accuracy optimization is performed.

2. The data fusion method for industrial data quality consistency testing according to claim 1, characterized in that, The specific process for optimizing the synchronization of fused data is as follows: The first step is to perform industrial data timestamp synchronization. The industrial data timestamp synchronization operation means that when the number of industrial data signal receptions reaches a multiple of the trigger threshold, the cloud platform sends a trigger signal to the secondary acquisition terminal in real time, and the secondary acquisition terminal uses the timestamp corresponding to the acquired trigger signal as the synchronization signal timestamp. The number of industrial data signal receptions represents the cumulative number of times the cloud platform receives the initial signal from the initial acquisition terminal. The initial acquisition terminal refers to the first acquisition terminal that transmits industrial data to the cloud platform. The secondary acquisition terminal refers to an acquisition terminal other than the initial acquisition terminal; The initial signal represents the signal corresponding to the initial acquisition terminal transmitting industrial data to the cloud platform; The trigger signal is used to achieve precise alignment of the timestamps of each acquisition terminal; The aforementioned industrial data timestamp synchronization operation is used to reduce industrial data synchronization errors and improve industrial data alignment. The second step is to perform timestamp adaptive compensation. The timestamp adaptive compensation operation means that the timestamp compensation duration is increased step by step with the magnitude corresponding to the preset timestamp compensation duration ratio as the adjustment step size. The preset timestamp compensation duration ratio is obtained by inputting the industrial data synchronization verification result and timestamp delay index into the compensation mapping set. The timestamp adaptive compensation operation is used to refine the timestamp compensation process to reduce the one-way accumulation of synchronization errors in industrial data acquisition terminals. If the industrial data synchronization verification result obtained after the data fusion synchronization optimization is still greater than the preset industrial data synchronization verification result, an industrial data synchronization verification error prompt will be sent to the preset personnel, and the corresponding industrial data will be stored in a local file. Otherwise, an industrial data consistency verification will be performed.

3. The data fusion method for industrial data quality consistency testing according to claim 1, characterized in that, The industrial data consistency optimization includes performing industrial data migration operations and performing industrial data quality consistency tests. The industrial data migration operation refers to migrating abnormal industrial data to a local file on the acquisition terminal and marking the corresponding abnormal industrial data as test industrial data. The industrial data migration operation is used to reduce errors in industrial data quality consistency testing, thereby improving the efficiency of industrial data quality consistency testing.

4. The data fusion method for industrial data quality consistency testing according to claim 3, characterized in that, The specific process for conducting industrial data quality consistency testing is as follows: The first step is to perform data cleaning on the test industrial data to identify missing and duplicate data; The missing data indicates that each acquisition terminal failed to collect industrial data corresponding to the industrial data type in the database; The repeated data indicates that the acquisition terminal collects industrial data corresponding to the same industrial data type; The second step is to convert the qualified test industrial data into a unified format, perform difference analysis between the number of preset test industrial data types and the number of qualified test industrial data types to obtain the qualified test industrial data deviation result. If the qualified test industrial data deviation result is less than 0, the industrial data consistency verification is re-executed; otherwise, an industrial data quality consistency test anomaly prompt is sent to the preset personnel. The number of test industrial data types represents the number of types of test industrial data. The aforementioned industrial data quality consistency test is used to improve the efficiency of industrial data processing, thereby enhancing the qualification of industrial data fusion. If the industrial data consistency verification result obtained after re-performing the industrial data consistency verification is greater than the preset industrial data consistency verification result, perform an industrial data accuracy verification; otherwise, send an industrial data consistency verification exception message to the preset personnel.

5. The data fusion method for industrial data quality consistency testing according to claim 1, characterized in that, The specific process for optimizing the accuracy of industrial data is as follows: Perform industrial data sharding operations; The industrial data sharding operation refers to dividing the industrial data synchronized in real time between the acquisition terminal and the cloud platform into industrial data shards and performing industrial data shard verification operations. The specific process for performing industrial data fragmentation and verification is as follows: Step 1: Perform data sharding and extraction operations to improve the accuracy of industrial data processing; The data fragmentation and extraction operation means gradually increasing the number of industrial data fragments by using the preset industrial data fragmentation ratio as the adjustment step size. The preset industrial data segmentation ratio is obtained by inputting the industrial data accuracy verification result and the original industrial data volume into the segmentation number mapping set. Step two: Perform data sharding verification. The data fragment verification operation refers to comparing the industrial data and data verification codes of the corresponding industrial data fragments of the acquisition terminal and the cloud platform to obtain the verification result; The data sharding verification operation is used to ensure the consistency of the target industrial data shards, thereby improving the accuracy of industrial data fusion. If the accuracy verification result of the industrial data re-acquired after the industrial data sharding operation is greater than the preset industrial data accuracy verification result, then industrial data fusion and industrial fused data verification will be performed; otherwise, industrial data transmission adjustment will be performed. The adjustment of industrial data transmission refers to adjusting the industrial data corresponding to the next industrial data accuracy verification. The industrial data transmission adjustment refers to collecting data by time span type based on sliding window algorithm and time series algorithm, and gradually increasing the industrial data type collection volume by step step with the amplitude corresponding to the preset industrial data type collection volume ratio. The preset industrial data type collection volume ratio is obtained by inputting the industrial data accuracy verification result and the industrial data type quantity into the type collection mapping set; The industrial data type acquisition volume refers to the data volume type corresponding to the industrial data acquired by each acquisition terminal; The aforementioned adjustment of industrial data transmission is used to improve the extraction and compression of industrial data features to reduce redundancy in industrial data transmission, thereby improving the accuracy of industrial data accuracy verification. If the accuracy verification result of the industrial data re-acquired after the industrial data transmission adjustment is greater than the preset industrial data accuracy verification result, then industrial data fusion and industrial fusion data verification will be performed; otherwise, an industrial data transmission adjustment anomaly will be sent to the preset personnel.

6. The data fusion method for industrial data quality consistency testing according to claim 5, characterized in that, The specific process for performing industrial convergence data verification is as follows: The industrial integration data volume is quantified by comparing it with the preset industrial integration data volume to obtain the industrial integration data verification result, which reflects the degree of qualification of the industrial integration data verification. Determine whether the industrial data fusion accuracy criteria are met based on the verification results of the acquired industrial fusion data. The accurate condition for industrial data fusion means that the amount of industrial fusion data is equal to the preset amount of industrial fusion data. If the industrial data verification result meets the accurate conditions for industrial data fusion, a qualified industrial data notification will be sent to the preset personnel; otherwise, an abnormal industrial data notification will be sent to the preset personnel.

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