Industrial internet big data processing platform for multi-dimensional data fusion and analysis

Abstract

The invention relates to the technical field of information, and discloses an industrial internet big data processing platform for multi-dimensional data fusion and analysis, which establishes a data acquisition module, a data analysis module, a data development module and a data application module, the data analysis module calculates a multi-dimensional data acquisition frequency fault index Dz, industrial internet big data real-time processing time Tz and a multi-dimensional data analysis delay probability Qz, the data development module simulates the real-time performance of multi-dimensional data uploading according to a calculation result, and the data application module performs real-time analysis on the multi-dimensional data according to a simulation result of the data development module. The multi-dimensional data uploading process of the sensing data unit and the industrial area data unit is supervised, the real-time performance of multi-dimensional data uploading of the system is improved by replacing and changing a sensor and a controller, and the diversity of data is increased by increasing information classification for the information system unit.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and specifically to an industrial Internet big data processing platform for multi-dimensional data fusion and analysis. Background Art

[0002] Traditional big data processing platforms are stable and mature in processing large-scale structured data, but they have limitations in real-time processing and data diversity support. Therefore, when building or selecting a big data platform, enterprises should comprehensively evaluate their own needs and make reasonable choices and optimizations based on data characteristics and business scenarios to obtain the maximum value from the data. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the shortcomings of the existing technology, the present invention provides an industrial Internet big data processing platform for multi-dimensional data fusion and analysis, which has the advantages of real-time processing and data diversity, and solves the limitations of traditional technologies in real-time processing and data diversity support.

[0005] (II) Technical solution

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an industrial Internet big data processing platform for multi-dimensional data fusion and analysis, including a data acquisition module, a data analysis module, a data development module and a data application module;

[0007] The data acquisition module includes a sensing data unit, an industrial area data unit and an information system unit. The sensing data unit obtains sensing data through sensors and controllers, the industrial area data unit obtains industrial area data through industrial equipment and production lines, and the information system unit obtains information system data through Internet sensors. The sensing data unit, the industrial area data unit and the information system unit are connected to the data analysis module through a network;

[0008] The data analysis module includes a multidimensional data acquisition frequency fault unit, an industrial Internet big data real-time processing time unit and a multidimensional data analysis delay unit. The multidimensional data acquisition frequency fault unit calculates a multidimensional data acquisition frequency fault index Dz according to the sensing data and the industrial area data. The industrial Internet big data real-time processing time unit calculates the industrial Internet big data real-time processing time Tz according to the sensing data, the industrial area data and the information system data. The multidimensional data analysis delay unit calculates the multidimensional data analysis delay probability Qz according to the sensing data, the industrial area data and the information system data. The multidimensional data acquisition frequency fault unit, the industrial Internet big data real-time processing time unit and the multidimensional data analysis delay unit are connected to the data development module through a network;

[0009] The data development module simulates the real-time performance of multidimensional data uploading according to the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz. The data development module is connected to the data application module through the network.

[0010] Preferably, the sensing data unit numbers the actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors, the number of controllers, the sensing data preprocessing time, the sensing data processing and analysis time, and the sensing data transmission time according to the sensing data characteristics. The actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors and the number of controllers are numbered f1, f2, fx1, fx2, n1, and n2 respectively, and the sensing data preprocessing time, the sensing data processing and analysis time, and the sensing data transmission time are numbered Tp1, Tpr1, and Top1 respectively.

[0011] Preferably, the multi-dimensional data acquisition frequency fault unit calculates the multi-dimensional data acquisition frequency fault index Dz according to the sensing data and the industrial area data, and the calculation formula is:

[0012]

[0013] In the formula, Dz represents the multi-dimensional data acquisition frequency fault index, f1, f2, fx1, fx2, n1, and n2 represent the actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors, and the number of controllers, respectively. 1，i -f 2，i ) 2 It represents the square of the difference between the actual acquisition frequency of the sensor and the preset acquisition frequency of the sensor, (f x1，i -f x2，i ) 2 It represents the square of the difference between the actual acquisition frequency of the controller and the preset acquisition frequency of the controller.

[0014] Preferably, the industrial area data unit obtains the industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time through industrial equipment and production lines, and the industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time are numbered Tp2, Tpr2, and Top2, respectively.

[0015] Preferably, the industrial Internet big data real-time processing time unit calculates the industrial Internet big data real-time processing time Tz according to the sensing data, industrial area data and information system data, and the calculation formula is:

[0016]

[0017] In the formula, Tz represents the real-time processing time of industrial Internet big data, Tp1, Tpr1, and Top1 represent the sensing data preprocessing time, sensing data processing and analysis time, and sensing data transmission time, respectively; Tp2, Tpr2, and Top2 represent the industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time, respectively.

[0018] Preferably, the information system unit numbers the information system data preprocessing time and the information system data actual processing time according to the information system data characteristics, and the information system data preprocessing time and the information system data actual processing time are numbered Tp3 and Tpr3 respectively.

[0019] Preferably, the multidimensional data analysis delay unit calculates the multidimensional data analysis delay probability Qz according to the sensing data, the industrial area data and the information system data, and the calculation formula is:

[0020]

[0021] In the formula, Qz represents the delay probability of multidimensional data analysis, Tp1 and Tpr1 represent the sensing data preprocessing time and sensing data processing and analysis time, respectively, Tp2 and Tpr2 represent the industrial area data preprocessing time and industrial area data processing and analysis time, Tp3 and Tpr3 represent the information system data preprocessing time and the actual information system data processing time, respectively. 1，i +Tp 2，i +Tp 3，i ) represents the actual processing time of the i-th data dimension, (Tpr 1，i +Tpr 2，i +Tpr 3，i ) represents the expected processing time of the i-th data dimension, and n is the total number of data dimensions.

[0022] Preferably, the data development module simulates the real-time performance of multidimensional data uploading according to the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz, and the simulation process is as follows: a model is established by adjusting the data acquisition frequency, changing the data processing algorithm or optimizing the data transmission path, and the changed data is simulated and experimented, and finally the model is verified through the calculation formula of the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz to obtain the simulation result of the data development module.

[0023] Preferably, the data application module supervises the multi-dimensional data uploading process of the sensing data unit and the industrial area data unit according to the simulation results of the data development module, improves the real-time performance of the system's multi-dimensional data uploading by replacing sensors and controllers, and increases data diversity by adding information classification to the information system unit.

[0024] Preferably, the industrial Internet big data processing platform for multi-dimensional data fusion and analysis includes the following steps:

[0025] Step 1: Establish data collection module, data analysis module, data development module and data application module;

[0026] Step 2: The data acquisition module is divided into a sensing data unit, an industrial area data unit and an information system unit;

[0027] Step 3: The data analysis module is divided into a multidimensional data acquisition frequency fault unit, an industrial Internet big data real-time processing time unit, and a multidimensional data analysis delay unit, and the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz, and the multidimensional data analysis delay probability Qz are calculated;

[0028] Step 4: The data development module simulates the real-time performance of multidimensional data uploading based on the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz;

[0029] Step 5: The data application module monitors the multi-dimensional data uploading process of the sensing data unit and the industrial area data unit according to the simulation results of the data development module, replaces and changes the sensors and controllers, and adds information classification for the information system unit.

[0030] Compared with the prior art, the present invention provides an industrial Internet big data processing platform for multi-dimensional data fusion and analysis, which has the following beneficial effects:

[0031] 1. The present invention calculates the multidimensional data acquisition frequency fault index Dz and compares the difference between the actual acquisition frequency and the preset acquisition frequency. The formula can evaluate the efficiency of real-time data acquisition. When the actual acquisition frequency is lower than the preset acquisition frequency, it will affect the real-time update of data and the timeliness of decision-making. When the frequency fault index Dz≤0.002, it means that the actual acquisition frequency is close to the preset value, and the system can stably collect data in real time, which can reflect the reliability of the entire system in data acquisition.

[0032] 2. The present invention uses the multi-dimensional data analysis delay probability Qz formula to compare the difference between the actual processing time and the expected processing time of each data dimension, and standardizes it into a delay probability, which helps to identify which data dimensions are delayed and the degree of delay. By comparing the processing time of different data sources, the analysis and processing efficiency of each data source can be evaluated. When only the sensing data is substituted into the formula and the calculated delay probability is high, it means that the processing flow of the sensing data unit needs to be optimized. The data in the formula comes from different systems and regions, and the calculation formula needs to integrate all relevant data dimensions to ensure the efficiency of the data fusion process. When the data dimension with a high multi-dimensional data analysis delay probability Qz slows down the entire data fusion process, thereby affecting the data analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] See also Figure 1 , an industrial Internet big data processing platform for multi-dimensional data fusion and analysis, including data acquisition module, data analysis module, data development module and data application module;

[0036] The data acquisition module includes a sensing data unit, an industrial area data unit and an information system unit. The sensing data unit obtains sensing data through sensors and controllers, the industrial area data unit obtains industrial area data through industrial equipment and production lines, and the information system unit obtains information system data through Internet sensors. The sensing data unit, the industrial area data unit and the information system unit are connected to the data analysis module through a network;

[0037] The data analysis module includes a multidimensional data acquisition frequency fault unit, an industrial Internet big data real-time processing time unit and a multidimensional data analysis delay unit. The multidimensional data acquisition frequency fault unit calculates a multidimensional data acquisition frequency fault index Dz according to the sensing data and the industrial area data. The industrial Internet big data real-time processing time unit calculates the industrial Internet big data real-time processing time Tz according to the sensing data, the industrial area data and the information system data. The multidimensional data analysis delay unit calculates the multidimensional data analysis delay probability Qz according to the sensing data, the industrial area data and the information system data. The multidimensional data acquisition frequency fault unit, the industrial Internet big data real-time processing time unit and the multidimensional data analysis delay unit are connected to the data development module through a network.

[0038] The data development module simulates the real-time performance of multidimensional data uploading based on the multidimensional data acquisition frequency failure index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz. The data development module is connected to the data application module through the network.

[0039] The sensing data unit numbers the actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors, the number of controllers, the sensing data preprocessing time, the sensing data processing and analysis time, and the sensing data transmission time according to the sensing data characteristics. The actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors and the number of controllers are numbered f1, f2, fx1, fx2, n1, and n2 respectively. The sensing data preprocessing time, the sensing data processing and analysis time, and the sensing data transmission time are numbered Tp1, Tpr1, and Top1 respectively.

[0040] The multi-dimensional data acquisition frequency fault unit calculates the multi-dimensional data acquisition frequency fault index Dz according to the sensing data and the industrial area data. The calculation formula is:

[0041]

[0042] In the formula, Dz represents the multi-dimensional data acquisition frequency fault index, f1, f2, fx1, fx2, n1, and n2 represent the actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors, and the number of controllers, respectively. 1，i -f 2，i ) 2 It represents the square of the difference between the actual acquisition frequency of the sensor and the preset acquisition frequency of the sensor, (f x1，i -f x2，i ) 2 It represents the square of the difference between the actual acquisition frequency of the controller and the preset acquisition frequency of the controller.

[0043] The advantages are: by calculating the multi-dimensional data acquisition frequency fault index Dz and comparing the difference between the actual acquisition frequency and the preset acquisition frequency, the formula can evaluate the efficiency of real-time data acquisition. When the actual acquisition frequency is lower than the preset acquisition frequency, it will affect the real-time update of the data and the timeliness of the decision. When the frequency fault index Dz≤0.002, it means that the actual acquisition frequency is close to the preset value, and the system can stably collect data in real time, which can reflect the reliability of the entire system in data acquisition.

[0044] The industrial area data unit obtains the industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time through industrial equipment and production lines. The industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time are numbered Tp2, Tpr2, and Top2, respectively.

[0045] The industrial Internet big data real-time processing time unit calculates the industrial Internet big data real-time processing time Tz based on the sensing data, industrial area data and information system data. The calculation formula is:

[0046]

[0047] In the formula, Tz represents the real-time processing time of industrial Internet big data, Tp1, Tpr1, and Top1 represent the sensing data preprocessing time, sensing data processing and analysis time, and sensing data transmission time, respectively; Tp2, Tpr2, and Top2 represent the industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time, respectively.

[0048] The advantages are: by calculating the real-time processing time Tz of industrial Internet big data and integrating industrial area data, sensor data and information system data, the system can comprehensively analyze diverse data sources. This comprehensive analysis enhances the diversity of data. When the preprocessing time in the formula is higher than the actual processing time, the data development module is used to optimize the processing flow of the data flow and change the process parameters to perform simulation verification. The data application module is used according to the best simulation verification to obtain real-time data uploaded by the system's multi-dimensional data.

[0049] The information system unit numbers the information system data preprocessing time and the information system data actual processing time according to the information system data characteristics, and the information system data preprocessing time and the information system data actual processing time are numbered Tp3 and Tpr3 respectively.

[0050] The multidimensional data analysis delay unit calculates the multidimensional data analysis delay probability Qz based on the sensing data, industrial area data and information system data. The calculation formula is:

[0051]

[0052] In the formula, Qz represents the delay probability of multidimensional data analysis, Tp1 and Tpr1 represent the sensing data preprocessing time and sensing data processing and analysis time, respectively, Tp2 and Tpr2 represent the industrial area data preprocessing time and industrial area data processing and analysis time, Tp3 and Tpr3 represent the information system data preprocessing time and the actual information system data processing time, respectively. 1，i +Tp 2，i +Tp 3，i ) represents the actual processing time of the i-th data dimension, (Tpr 1，i +Tpr 2，i +Tpr 3，i ) represents the expected processing time of the i-th data dimension, and n is the total number of data dimensions.

[0053] The advantages are: through the multi-dimensional data analysis delay probability Qz formula, the difference between the actual processing time and the expected processing time of each data dimension is compared and normalized into a delay probability, which helps to identify which data dimensions are delayed and the degree of delay. At the same time, by comparing the processing time of different data sources, the analysis and processing efficiency of each data source can be evaluated. When only the sensing data is substituted into the formula and the calculated delay probability is high, it means that the processing flow of the sensing data unit needs to be optimized. The data in the formula comes from different systems and regions. The calculation formula needs to integrate all relevant data dimensions to ensure the efficiency of the data fusion process. When the data dimension with a high multi-dimensional data analysis delay probability Qz slows down the entire data fusion process, thereby affecting the data analysis results.

[0054] The data development module simulates the real-time performance of multidimensional data uploading based on the multidimensional data acquisition frequency failure index Dz, the real-time processing time Tz of industrial Internet big data and the delay probability Qz of multidimensional data analysis. The simulation process is as follows: the model is established by adjusting the data acquisition frequency, changing the data processing algorithm or optimizing the data transmission path, and the changed data is simulated. Finally, the model is verified through the calculation formula of the multidimensional data acquisition frequency failure index Dz, the real-time processing time Tz of industrial Internet big data and the delay probability Qz of multidimensional data analysis to obtain the simulation results of the data development module.

[0055] The data application module monitors the multi-dimensional data uploading process of the sensing data unit and the industrial area data unit according to the simulation results of the data development module. By replacing sensors and controllers, the real-time performance of the system's multi-dimensional data uploading is improved. For the information system unit, the diversity of data is increased by adding information classification.

[0056] The industrial Internet big data processing platform for multi-dimensional data fusion and analysis includes the following steps:

[0057] Step 1: Establish data collection module, data analysis module, data development module and data application module;

[0058] Step 2: The data acquisition module is divided into a sensing data unit, an industrial area data unit and an information system unit;

[0059] Step 3: The data analysis module is divided into a multidimensional data acquisition frequency fault unit, an industrial Internet big data real-time processing time unit, and a multidimensional data analysis delay unit, and the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz, and the multidimensional data analysis delay probability Qz are calculated;

[0060] Step 4: The data development module simulates the real-time performance of multidimensional data uploading based on the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz;

[0061] Step 5. The data application module monitors the multi-dimensional data uploading process of the sensing data unit and the industrial area data unit according to the simulation results of the data development module. By replacing sensors and controllers, the real-time performance of the system's multi-dimensional data uploading is improved. For the information system unit, the diversity of data is increased by adding information classification.

[0062] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An industrial Internet big data processing platform for multi-dimensional data fusion and analysis, characterized by: It includes data collection module, data analysis module, data development module and data application module; The data acquisition module includes a sensing data unit, an industrial area data unit and an information system unit. The sensing data unit obtains sensing data through sensors and controllers, the industrial area data unit obtains industrial area data through industrial equipment and production lines, and the information system unit obtains information system data through Internet sensors. The sensing data unit, the industrial area data unit and the information system unit are connected to the data analysis module through a network; The data analysis module includes a multidimensional data acquisition frequency fault unit, an industrial Internet big data real-time processing time unit and a multidimensional data analysis delay unit. The multidimensional data acquisition frequency fault unit calculates a multidimensional data acquisition frequency fault index Dz according to the sensing data and the industrial area data. The industrial Internet big data real-time processing time unit calculates the industrial Internet big data real-time processing time Tz according to the sensing data, the industrial area data and the information system data. The multidimensional data analysis delay unit calculates the multidimensional data analysis delay probability Qz according to the sensing data, the industrial area data and the information system data. The multidimensional data acquisition frequency fault unit, the industrial Internet big data real-time processing time unit and the multidimensional data analysis delay unit are connected to the data development module through a network; The data development module simulates the real-time performance of multidimensional data uploading according to the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz. The data development module is connected to the data application module through the network.

2. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 1 is characterized by: The sensing data unit numbers the actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors, the number of controllers, the sensing data preprocessing time, the sensing data processing and analysis time, and the sensing data transmission time according to the sensing data characteristics. The actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors and the number of controllers are numbered as f1, f2, fx1, fx2, n1, and n2 respectively, and the sensing data preprocessing time, the sensing data processing and analysis time, and the sensing data transmission time are numbered as Tp1, Tpr1, and Top1 respectively.

3. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 2 is characterized by: The multi-dimensional data acquisition frequency fault unit calculates the multi-dimensional data acquisition frequency fault index Dz according to the sensing data and the industrial area data, and the calculation formula is: In the formula, Dz represents the multi-dimensional data acquisition frequency fault index, f1, f2, fx1, fx2, n1, and n2 represent the actual acquisition frequency of the sensor, the preset acquisition frequency of the sensor, the actual acquisition frequency of the controller, the preset acquisition frequency of the controller, the number of sensors, and the number of controllers, respectively. 1,i -f 2,i ) 2 It represents the square of the difference between the actual acquisition frequency of the sensor and the preset acquisition frequency of the sensor, (f x1,i -f x2,i ) 2 It represents the square of the difference between the actual acquisition frequency of the controller and the preset acquisition frequency of the controller.

4. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 1 is characterized by: The industrial area data unit obtains the industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time through industrial equipment and production lines. The industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time are numbered Tp2, Tpr2, and Top2, respectively.

5. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 4 is characterized by: The industrial Internet big data real-time processing time unit calculates the industrial Internet big data real-time processing time Tz according to the sensing data, industrial area data and information system data, and its calculation formula is: In the formula, Tz represents the real-time processing time of industrial Internet big data, Tp1, Tpr1, and Top1 represent the sensing data preprocessing time, sensing data processing and analysis time, and sensing data transmission time, respectively; Tp2, Tpr2, and Top2 represent the industrial area data preprocessing time, industrial area data processing and analysis time, and industrial area data transmission time, respectively.

6. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 1 is characterized by: The information system unit numbers the information system data preprocessing time and the information system data actual processing time according to the information system data characteristics, and the information system data preprocessing time and the information system data actual processing time are numbered as Tp3 and Tpr3 respectively.

7. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 6 is characterized by: The multidimensional data analysis delay unit calculates the multidimensional data analysis delay probability Qz according to the sensing data, the industrial area data and the information system data, and the calculation formula is: In the formula, Qz represents the delay probability of multidimensional data analysis, Tp1 and Tpr1 represent the sensing data preprocessing time and sensing data processing and analysis time, respectively, Tp2 and Tpr2 represent the industrial area data preprocessing time and industrial area data processing and analysis time, Tp3 and Tpr3 represent the information system data preprocessing time and the actual information system data processing time, respectively. 1，i +Tp 2,i +Tp 3,i ) represents the actual processing time of the i-th data dimension, (Tpr 1,i +Tpr 2,i +Tpr 3,i ) represents the expected processing time of the i-th data dimension, and n is the total number of data dimensions.

8. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 7 is characterized by: The data development module simulates the real-time performance of multidimensional data uploading according to the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz. The simulation process is as follows: a model is established by adjusting the data acquisition frequency, changing the data processing algorithm or optimizing the data transmission path, and the changed data is simulated and experimented. Finally, the model is verified through the calculation formula of the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz to obtain the simulation result of the data development module.

9. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 8 is characterized by: The data application module monitors the multi-dimensional data uploading process of the sensing data unit and the industrial area data unit according to the simulation results of the data development module, replaces and changes the sensors and controllers, and adds information classification for the information system unit.

10. The industrial Internet big data processing platform for multi-dimensional data fusion and analysis according to claim 9, characterized in that: The following steps are involved: Step 1: Establish data collection module, data analysis module, data development module and data application module; Step 2: The data acquisition module is divided into a sensing data unit, an industrial area data unit and an information system unit; Step 3: The data analysis module is divided into a multidimensional data acquisition frequency fault unit, an industrial Internet big data real-time processing time unit, and a multidimensional data analysis delay unit, and the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz, and the multidimensional data analysis delay probability Qz are calculated; Step 4: The data development module simulates the real-time performance of multidimensional data uploading based on the multidimensional data acquisition frequency fault index Dz, the industrial Internet big data real-time processing time Tz and the multidimensional data analysis delay probability Qz; Step 5: The data application module monitors the multi-dimensional data uploading process of the sensing data unit and the industrial area data unit according to the simulation results of the data development module, replaces and changes the sensors and controllers, and adds information classification for the information system unit.

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