Data fusion method for testing quality consistency of industrial data

Abstract

The invention discloses a data fusion method for an industrial data quality consistency test, and relates to the technical field of data fusion. The data fusion method for the industrial data quality consistency test comprises the steps of acquisition terminal memory evaluation, industrial data consistency verification and industrial data accuracy verification, and the acquisition terminal memory evaluation is executed to obtain an acquisition terminal memory use result; the method comprises the following steps: performing industrial data synchronization verification, judging whether to perform fusion data synchronization optimization or not, then performing industrial data consistency verification to obtain an industrial data consistency verification result, and finally performing industrial data accuracy verification to obtain an industrial data accuracy verification result, thereby realizing improvement of industrial data fusion accuracy. The problem that in the prior art, industrial data fusion of an industrial data quality consistency test is not accurate is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data fusion, in particular to a data fusion method for industrial data quality consistency testing. BACKGROUND

[0002] In the industrial data quality consistency testing fusion process, first, the industrial data is collected and preliminarily verified, the terminal collects the original industrial data of the reference part as test data through the sensor, such as the height difference, flatness or assembly gap of the mechanical part collected by the laser triangulation range finder, the temperature sensor collects the equipment temperature, etc., and compares the accuracy with the original standard data of the reference part. Before comparison, the test data and the original standard data are processed, such as denoising, the deviation value of the test data and the original standard data is calculated, if the deviation value is within the standard deviation range, the terminal is qualified, if it does not meet the standard, the terminal parameter is adjusted through the correction function and the test is repeated until the test data is within the standard deviation range, and the corresponding terminal is marked as a qualified terminal. Then, the consistency of the industrial data is compared, the qualified terminal encapsulates the original industrial data and uploads it to the cloud platform while backing up the original industrial data to the local file. The cloud platform parses the encapsulated original industrial data, on the one hand, compares the parsed corresponding industrial data with the original industrial data backed up by the terminal, and statistics the consistency of the two data, on the other hand, verifies whether the data format of the parsed encapsulated original industrial data is consistent with the protocol standard preset by the database, and statistics the consistency of the data format of the two data. Finally, the industrial data is fused, the cloud platform stores the parsed industrial data in the database and the cache at the same time, retrieves the corresponding data from the database according to the equipment number and timestamp of the industrial data in the cache, compares whether the industrial data in the cache matches the industrial data in the database, and statistics the proportion of the complete matching industrial data, so as to realize the fusion of the industrial data.

[0003] In the industrial data fusion process, the original industrial data collected by the terminal is tested for accuracy, the deviation value is obtained, the terminal parameters are adjusted according to the deviation value, the original industrial data corresponding to the qualified detection monitoring terminal is selected, then the original industrial data uploaded by the qualified terminal is compared with the original industrial data in the local file for consistency, the consistency comparison result is generated, the original 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 for completeness through the cloud platform, the completeness comparison result is obtained, the industrial data corresponding to the completeness result is stored in the database, so as to realize the accuracy of the industrial data fusion.

[0004] For example, the Chinese invention patent application with publication number: CN111639719B discloses a footprint image retrieval method based on space-time motion and feature fusion, the steps of which include: 1, preparation of a set of footprint image data; 2, establishment of a footprint image preprocessing module; 3, establishment of a multi-scale footprint image and overall normalized preprocessing layer; 4, weight initialization; 5, establishment of a spatial feature extraction module; 6, establishment of a time sequence feature extraction module; 7, training, testing and optimization of the network, extraction of spatial feature information and time sequence feature information of the footprint image, and acquisition of space-time information of the footprint image by combining a specific feature fusion module, and clustering of differentiating feature information between different persons.

[0005] For example, the Chinese invention patent application with publication number: CN114579794B discloses a multi-scale fusion landmark image retrieval method and system with feature consistency suggestion, the method comprising: collecting landmark image data, constructing a landmark retrieval training data set Tr and a test data set Te; constructing a multi-scale fusion landmark image retrieval network with feature consistency suggestion; calculating the loss value by constructing a total loss function, training the multi-scale landmark image retrieval network using the landmark retrieval training data set Tr to obtain a multi-scale fusion landmark image retrieval model with feature consistency suggestion; and inputting the test data set Te into the multi-scale fusion landmark image retrieval model with feature consistency suggestion to output the retrieval result of the landmark image.

[0006] The above-mentioned technology at least has the following technical problems: In the industrial data fusion process, the acquisition terminal may run multiple tasks simultaneously, causing the memory load of the acquisition terminal to be too high. Since the software timestamp of the acquisition terminal depends on the memory load thread response and allocation, and when a high-priority main processing thread, such as data acquisition / protocol parsing, continuously occupies the memory load thread, the low-priority software timestamp recording thread cannot obtain a scheduling opportunity, causing the allocated software timestamp recording thread of the acquisition terminal to be blocked, resulting in different memory load thread responses of the acquisition terminal when collecting industrial data of the same object, causing the timestamps of the collection time of these acquisition terminals to be out of sync. Therefore, when multiple acquisition terminals collect industrial data at the same time, due to the inconsistency of the timestamps, the industrial data collected at different times may be compared during industrial data fusion, causing deviations in the consistency test of the quality of the industrial data, resulting in inaccurate industrial data fusion for a consistency test of the quality of the industrial data. SUMMARY

[0007] To solve the technical problem of inaccurate industrial data fusion for a consistency test of the quality of the industrial data caused by the high memory load of the acquisition terminal in the prior art, an embodiment of the present application provides a data fusion method for a consistency test of the quality of the industrial data. 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, The method comprises the following steps: In the industrial data fusion process, the memory usage of the acquisition terminal is evaluated to obtain the memory usage result of the acquisition terminal, and it is determined whether to perform the industrial data synchronization verification based on the memory usage result of the acquisition terminal. The execution of the industrial data synchronization verification indicates that it is determined whether to perform the fusion data synchronization optimization based on the industrial data synchronization verification result. The fusion data synchronization optimization comprises a time preliminary synchronization operation for reducing the industrial data acquisition synchronization error and a time stamp adaptive compensation operation for continuously updating the time stamp compensation duration of the acquisition terminal. After the memory evaluation of the acquisition terminal is qualified, the industrial data consistency verification is performed to obtain the industrial data consistency verification result and determine whether to perform the industrial data consistency optimization. The industrial data consistency optimization comprises an industrial data migration operation for improving the efficiency of the industrial data quality consistency test and an industrial data quality consistency test for reducing the error of the industrial data type. After the industrial data consistency verification is qualified, it is determined whether to perform the industrial data accuracy optimization according to the industrial data accuracy verification result obtained by performing the industrial data accuracy verification. The industrial data accuracy optimization comprises an industrial data slicing operation for improving the fusion accuracy of the industrial data and an industrial data transmission adjustment for improving the transmission rate of the industrial data.

2. The data fusion method for industrial data quality consistency testing according to claim 1, characterized in that, The specific process of obtaining the memory usage result of the acquisition terminal by performing the memory evaluation of the acquisition terminal is as follows: The memory usage result of the acquisition terminal reflecting the usage of the memory of the acquisition terminal is obtained by performing proportion quantization on the memory index of the acquisition terminal and the preset memory index of the acquisition terminal. It is determined whether to perform the industrial data synchronization verification based on the obtained memory usage result 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, the industrial data consistency verification is performed, otherwise, the industrial data synchronization verification is performed.

3. The data fusion method of industrial data quality consistency test according to claim 2, characterized in that, The specific process of performing the industrial data synchronization verification is as follows: The industrial data synchronization verification result reflecting the synchronization degree of the industrial data is obtained by performing harmonic average processing on the abnormal memory usage index of the acquisition terminal and the acquisition terminal time stamp delay result. It is determined whether the obtained industrial data synchronization verification result is less than the preset industrial data synchronization verification result. The abnormal memory usage index of the acquisition terminal is represented by the result of the weighting processing of the abnormal memory usage result of the acquisition terminal and the memory influence rate reflecting the influence degree of the abnormal memory usage result of the acquisition terminal on the industrial data synchronization verification result. The acquisition terminal time stamp delay result is represented by the result of the weighting processing of the time stamp delay index and the preset time stamp delay index after proportion quantization, combined with the delay influence rate reflecting the influence degree of the acquisition terminal time stamp delay result on the industrial data synchronization verification result, for reflecting the acquisition terminal time stamp delay situation. If the industrial data synchronization verification result is not greater than the preset industrial data synchronization verification result, the industrial data consistency verification is performed, otherwise, the fusion data synchronization optimization is performed. The fusion data synchronization optimization represents the optimization of the industrial data corresponding to the next execution of the industrial data synchronization check.

4. The data fusion method of industrial data quality consistency test according to claim 3, characterized in that, The specific process of the fusion data synchronization optimization is as follows: Firstly, the industrial data timestamp synchronization operation is performed. The industrial data timestamp synchronization operation means that when it is monitored that the number of industrial data signal receptions reaches a multiple of the trigger threshold, the cloud platform sends a trigger signal to the secondary collection terminal in real time, and the secondary collection terminal takes the timestamp corresponding to the trigger signal as the synchronization signal timestamp. The number of industrial data signal receptions represents the number of times the initial signal corresponding to the initial collection terminal is received by the cloud platform. The initial collection terminal represents the first collection terminal that transmits industrial data to the cloud platform. The secondary collection terminal represents a collection terminal other than the initial collection terminal. The initial signal represents the signal corresponding to the transmission of industrial data from the initial collection terminal to the cloud platform. The trigger signal is used to achieve precise alignment of the timestamps of each collection terminal. The industrial data timestamp synchronization operation is used to reduce industrial data synchronization errors to improve industrial data alignment. Secondly, the timestamp adaptive compensation operation is performed. The timestamp adaptive compensation operation means that the time stamp compensation time length is increased step by step with the preset timestamp compensation time length ratio corresponding to the amplitude as the adjustment step. The preset timestamp compensation time length ratio is obtained by inputting the industrial data synchronization check result and the timestamp delay index into the compensation mapping set. The timestamp adaptive compensation operation is used to refine the timestamp compensation processing to reduce the one-way accumulation of collection terminal industrial data synchronization errors. If the industrial data synchronization check result obtained after the fusion data synchronization optimization is still greater than the preset industrial data synchronization check result, an industrial data synchronization check exception prompt is sent to the preset personnel, and the corresponding industrial data is stored in the local file, otherwise, the industrial data consistency check is performed.

5. The data fusion method of industrial data quality consistency test according to claim 4, characterized in that, The specific process of the industrial data consistency check is as follows: Determine whether the obtained industrial data consistency check result is greater than the preset industrial data consistency check result. The industrial data consistency check result is obtained by harmonic average processing of the industrial data synchronization check index and the industrial data power result, and is used to reflect the qualified degree of the industrial data consistency check. The industrial data power result is obtained by weighting processing of the proportion quantization result of the industrial data power index and the preset industrial data power index, and the power control rate corresponding to the influence degree of the industrial data power result on the industrial data consistency check result, and is used to reflect the completeness of the industrial data consistency check. The industrial data power index is represented by the average value of the output power of each collection terminal and the proportion quantization result of the cloud platform received power. The industrial data synchronization verification index is represented by the result of weighting processing of the proportion of the preset industrial data synchronization verification result and the qualified industrial data synchronization verification result and the corresponding synchronization verification control rate reflecting the influence degree of the industrial data synchronization verification index on the industrial data consistency verification result, and is used to reflect the qualified degree of the industrial data synchronization verification result. The qualified industrial data synchronization verification result is represented by an industrial data synchronization verification result smaller than the preset industrial data synchronization verification result. If the industrial data consistency verification result is not smaller than the preset industrial data consistency verification result, the industrial data accuracy verification is performed, otherwise, the industrial data consistency optimization is performed.

6. The data fusion method of industrial data quality consistency test according to claim 5, characterized in that, The industrial data consistency optimization includes performing an industrial data migration operation and performing an industrial data quality consistency test. The industrial data migration operation represents migrating abnormal industrial data to a local file of a collection terminal and marking the corresponding abnormal industrial data as test industrial data. The industrial data migration operation is used to reduce the error of the industrial data quality consistency test, thereby improving the efficiency of the industrial data quality consistency test.

7. The data fusion method of industrial data quality consistency test according to claim 6, characterized in that, The specific process of the industrial data quality consistency test is as follows: Firstly, the test industrial data is cleaned to identify missing data and repeated data. The missing data represents that each collection terminal does not collect industrial data of the type of industrial data in the database. The repeated data represents that the collection terminal collects industrial data corresponding to the same type of industrial data. Secondly, the qualified test industrial data is converted into a unified format, and the difference between the preset test industrial data type quantity and the qualified test industrial data type quantity is analyzed to obtain a qualified test industrial data deviation result. If the qualified test industrial data deviation result is smaller than 0, the industrial data consistency verification is re-executed, otherwise, an industrial data quality consistency test exception prompt is sent to the preset personnel. The test industrial data type quantity represents the type quantity of the test industrial data. The industrial data quality consistency test is used to improve the efficiency of industrial data processing, thereby improving the qualified degree of industrial data fusion. If the industrial data consistency verification result obtained by re-executing the industrial data consistency verification is greater than the preset industrial data consistency verification result, the industrial data accuracy verification is performed, otherwise, an industrial data consistency verification exception prompt is sent to the preset personnel.

8. The data fusion method of industrial data quality consistency test according to claim 7, characterized in that, The specific process of the industrial data accuracy verification is as follows: It is judged whether the obtained industrial data accuracy verification result is greater than the preset industrial data accuracy verification result. The industrial data accuracy verification result is represented by the result of 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 processing of the qualified industrial data consistency verification result and the corresponding consistency verification rate reflecting the influence degree of the qualified industrial data consistency verification index on the industrial data accuracy verification result, and is used to reflect the qualified degree of the industrial data consistency verification. The qualified industrial data consistency verification result is represented by an industrial data consistency verification result greater than a preset industrial data consistency verification result; The industrial data transmission result is represented by a result of weighting processing of a transmission rate control rate for reflecting the influence degree of the industrial data transmission result on the industrial data accuracy verification result after the proportion quantization of the preset industrial data transmission rate and the industrial data transmission rate, and 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, industrial data fusion and industrial fusion data verification are performed, otherwise, industrial data accuracy optimization is performed.

9. The data fusion method of industrial data quality consistency test according to claim 8, characterized in that, The specific process of performing industrial data accuracy optimization is as follows: Performing industrial data slicing operation; The performing industrial data slicing operation represents that the industrial data synchronized in real time by the collection terminal and the cloud platform is divided into industrial data slices, and industrial data slice verification operation is performed; The specific process of performing industrial data slice verification operation is as follows: Step one, performing data slice extraction operation for improving industrial data processing accuracy; The performing data slice extraction operation represents that the industrial data slice quantity is increased step by step with a preset industrial data slice quantity proportion corresponding amplitude as an adjustment step; The preset industrial data slice quantity proportion is obtained by inputting the industrial data accuracy verification result and the original industrial data quantity into a slice quantity mapping set; Step two, performing data slice verification operation; The performing data slice verification operation represents that the industrial data and data verification code of the industrial data slices corresponding to the collection terminal and the cloud platform are compared to obtain a verification result; The performing data slice verification operation is used to ensure the consistency of the target industrial data slice, thereby improving the accuracy of industrial data fusion; If the industrial data accuracy verification result reacquired by performing industrial data slicing 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; The performing industrial data transmission adjustment represents that the industrial data corresponding to the next execution of industrial data accuracy verification is collected in a time span type The performing industrial data transmission adjustment represents that the industrial data type collection quantity is increased step by step with a preset industrial data type collection quantity proportion corresponding amplitude as an adjustment step based on the time span type collection of the sliding window algorithm and the time series algorithm; The preset industrial data type collection quantity proportion is obtained by inputting the industrial data accuracy verification result and the industrial data type quantity into a type collection mapping set; The industrial data type collection quantity represents the data type of the industrial data collected by each collection terminal; The performing industrial data transmission adjustment 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 industrial data accuracy verification result reacquired after performing 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 exception is sent to the preset personnel.

10. The data fusion method of industrial data quality consistency testing according to claim 9, characterized in that, The specific process of performing the industrial fusion data verification is as follows: The industrial fusion data amount is proportionally quantified with the preset industrial fusion data amount to obtain an industrial fusion data verification result reflecting the qualification degree of the industrial fusion data verification; It is judged whether the industrial data fusion accuracy condition is met based on the obtained industrial fusion data verification result; The industrial data fusion accuracy condition indicates that the industrial fusion data amount is equal to the preset industrial fusion data amount; If the industrial fusion data verification result meets the industrial data fusion accuracy condition, an industrial fusion data qualification prompt is sent to the preset personnel, otherwise, an industrial fusion data anomaly prompt is sent to the preset personnel.

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