Data fusion method and device, equipment, storage medium and product

Abstract

The embodiment of the invention relates to the field of electric data processing, and discloses a data fusion method and device, equipment, a storage medium and a product. The devices for generating the analog signal and the interaction signal respectively run at the same time, namely, the analog signal and the interaction signal are from different signal sources, and the data sources are mutually independent, so that the fixed ID information corresponding to the analog signal and the interaction signal is obtained; each signal is dispersedly stored in an ordered sub-file according to the cumulative time included in the ID information, so that the storage basis of data from different sources can be followed, and therefore, in the data fusion process, the target simulation signal and the target interaction signal included in the observation signal can be fused according to the ID information of the target simulation signal and the target interaction signal; the target analog signal and the target interaction signal stored in the ordered sub-file are accurately called, and the searching and calling efficiency and accuracy of data of different data sources are improved, so that the accuracy and efficiency of data fusion are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of electronic data processing, and in particular to a data fusion method, device, equipment, storage medium and product. Background Art

[0002] With the rapid development and popularization of computer and information technology, the data generated by industry applications has far exceeded the processing capabilities of existing traditional computing technology and information systems. In this case, data fusion integrates and merges data from different sources to provide more comprehensive, accurate and reliable information.

[0003] However, the data fusion methods in the related art still have problems such as data conflicts caused by poor data consistency, high data processing complexity and long processing time. Therefore, a data fusion method is needed to realize the storage and efficient fusion of different data sources. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a data fusion method, which enables data from different data sources to be stored and efficiently fused, thereby improving the accuracy and processing efficiency of data fusion.

[0005] To solve the above technical problems, an embodiment of the present application provides a data fusion method, including: obtaining an analog signal and an interactive signal, the analog signal and the interactive signal including ID information, the ID information including the accumulated time of the signal; storing the analog signal and the interactive signal in different ordered sub-files according to the accumulated time; obtaining an observation signal, the observation signal including the ID information of the target analog signal and the ID information of the target interactive signal; according to the observation signal, retrieving the target analog signal and the target interactive signal from the ordered sub-file; fusing the target analog signal and the target interactive signal to obtain fused data, and displaying the fused data.

[0006] An embodiment of the present application also provides a data fusion device, including: a signal acquisition module, used to acquire analog signals and interactive signals, the analog signals and the interactive signals include ID information, and the ID information includes the accumulated time of the signals; a data grouping storage module, used to store the analog signals and the interactive signals in different ordered sub-files according to the accumulated time; an observation signal acquisition module, used to acquire observation signals, the observation signals include the ID information of the target analog signals and the ID information of the target interactive signals; a data acquisition module for retrieving the target analog signals and the target interactive signals from the ordered sub-files according to the observation signals; a data fusion module, used to fuse the target analog signals and the target interactive signals to obtain fused data, and display the fused data.

[0007] An embodiment of the present application also provides an electronic device, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction implements the steps in the above-mentioned data fusion method when executed by the processor.

[0008] An embodiment of the present application further provides a computer-readable storage medium storing a computer program, wherein the computer program implements the steps in the above-mentioned data fusion method when executed by a processor.

[0009] An embodiment of the present application further provides a computer program product, including computer instructions, which implement the steps in the above-mentioned data fusion method when executed by a processor.

[0010] In an embodiment of the present application, an analog signal and an interactive signal are obtained, the analog signal and the interactive signal include ID information, and the ID information includes the accumulated time of the signal; the analog signal and the interactive signal are respectively stored in different ordered sub-files according to the accumulated time; an observation signal is obtained, the observation signal includes the ID information of the target analog signal and the ID information of the target interactive signal; according to the observation signal, the target analog signal and the target interactive signal are retrieved from the ordered sub-files; the target analog signal and the target interactive signal are data-fused to obtain fused data, and the fused data is displayed. Since the devices for generating analog signals and interactive signals are respectively operated at the same time, that is, the analog signals and interactive signals come from different signal sources, and the data sources are independent of each other, the present application obtains fixed ID information corresponding to the analog signals and interactive signals, and stores each signal in an ordered sub-file in a dispersed manner according to the accumulated time included in the ID information, so that the storage basis of data from different sources can be traced. Therefore, in the process of data fusion, the target analog signals and target interactive signals stored in the ordered sub-files can be accurately called according to the ID information of the target analog signals and target interactive signals included in the observed signals, thereby improving the efficiency and accuracy of searching and calling data from different data sources, thereby improving the accuracy and efficiency of data fusion.

[0011] In addition, the analog signal and the interactive signal are stored in different ordered subfiles according to the accumulated time, including: according to the first accumulated time included in the ID information of the analog signal, the analog signal is grouped according to a grouping algorithm to obtain a first grouping result, and the analog signal is stored in a first ordered subfile according to the first grouping result; according to the second accumulated time included in the ID information of the interactive signal, the interactive signal is grouped according to a grouping algorithm to obtain a second grouping result, and the interactive signal is stored in a second ordered subfile according to the second grouping result. By storing the analog signal and the interactive signal according to a preset grouping algorithm according to the first accumulated time and the second accumulated time, since the accumulated time of the signal is non-repetitive, the present application stores data according to the accumulated time, so that the data can be stored in an easy-to-retrieve manner, which is convenient for subsequent search and call of the data, so as to improve the efficiency of data fusion.

[0012] In addition, the target analog signal and the target interactive signal are retrieved from the ordered subfile according to the observed signal, including: obtaining the target analog signal in the first ordered subfile according to the third accumulated time included in the ID information of the target analog signal; obtaining the target analog signal in the second ordered subfile according to the fourth accumulated time included in the ID information of the target interactive signal. The target signal that needs to be fused can be accurately found through the third accumulated time and the fourth accumulated time of the target analog signal and the target interactive signal, thereby improving the accuracy of finding and calling the target signal.

[0013] In addition, the target simulation signal and the target interaction signal are retrieved from the ordered subfile according to the observed signal, including: according to the third accumulated time, the position of the target simulation signal in the first ordered subfile is located by a preset reverse grouping algorithm, and the target simulation signal is obtained; according to the fourth accumulated time, the position of the target interaction signal in the second ordered subfile is located by a preset reverse grouping algorithm, and the target interaction signal is obtained. Since the simulation signal and the interaction signal are stored in the ordered subfile according to the accumulated time and the grouping algorithm, the storage position of the target signal can be deduced by the reverse grouping algorithm through the accumulated time information included in the ID information of the target signal, and the target simulation signal and the target interaction signal can be accurately located in the ordered subfile through the third accumulated time and the fourth accumulated time of the target simulation signal and the target interaction signal. By inferring the position of the target signal according to the accumulated time result, the implementation method of the target signal is simple and efficient.

[0014] In addition, the target simulation signal and the target interaction signal are subjected to data fusion to obtain fused data, and the fused data is displayed, including: performing data fitting and preprocessing on the target interaction signal to obtain a stable interaction signal; performing data fusion on the target simulation signal and the stable interaction signal to obtain fused data, and the fused data is displayed. By performing data fitting and preprocessing on the interaction signal after obtaining the target interaction signal, the abnormal, jumpy, and unreasonable data in the interaction data are filtered out to obtain a stable interaction signal, thereby reducing the impact of the environment on the data processing accuracy during the generation, transmission, and processing of the interaction data, and improving the accuracy of the data fusion results.

[0015] In addition, the analog signal and the interactive signal are stored in different ordered sub-files through the TDMS module of Labview. Since the TDMS module of Labview has the characteristic of real-time storage, the signal can be stored in the ordered sub-files in real time, thereby improving the timeliness of data storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0017] Figure 1 This is the process of the method provided in the embodiment of the present application Figure 1 ;

[0018] Figure 2 This is the process of the method provided in the embodiment of the present application Figure 2 ;

[0019] Figure 3 is a schematic diagram of the internal structure of the device provided in the embodiment of the present application;

[0020] Figure 4 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0022] The embodiment of the present application relates to a data fusion method, which is applied as follows: Figure 1 and Figure 2 As shown, the specific steps include:

[0023] Step 101, acquiring an analog signal and an interactive signal, wherein the analog signal and the interactive signal include ID information, and the ID information includes the accumulated time of the signal.

[0024] In some example implementations, the simulation signal is a simulated simulation signal output based on a simulation model, and it is predetermined that each simulation signal includes a fixed intrinsic ID information, and the ID information includes the accumulated time of the simulation signal. Similarly, the interactive signal is output by the interactive device, and it is predetermined that each interactive signal includes a fixed intrinsic ID information, and the ID information includes the accumulated time of the interactive signal.

[0025] Step 102: store the simulation signal and the interaction signal into different ordered sub-files respectively according to the accumulated time.

[0026] In some example implementations, the analog signal and the interactive signal are stored in different ordered subfiles according to the accumulated time, including: according to the first accumulated time included in the ID information of the analog signal, the analog signal is grouped according to a grouping algorithm to obtain a first grouping result, and according to the first grouping result, the analog signal is stored in a first ordered subfile; according to the second accumulated time included in the ID information of the interactive signal, the interactive signal is grouped according to a grouping algorithm to obtain a second grouping result, and according to the second grouping result, the interactive signal is stored in a second ordered subfile. By storing the analog signal and the interactive signal according to a preset grouping algorithm according to the first accumulated time and the second accumulated time, since the accumulated time of the signal is non-repetitive, the present application stores data according to the accumulated time, so that the data can be stored in an easy-to-retrieve manner, which is convenient for subsequent search and call of the data, so as to improve the efficiency of data fusion.

[0027] In some example implementations, the grouping algorithm is used to group the analog signals and the interactive signals according to the accumulated time and store them in order in each subfile. The analog signals or the interactive signals are grouped by the grouping algorithm to obtain multiple groups of analog signals or multiple groups of interactive signals; each group of analog signals is stored in a first ordered subfile; or each group of interactive signals is stored in a second ordered subfile. Since the signals are grouped and stored in ordered subfiles, and the amount of data in each ordered subfile is small, it is convenient to quickly search and call the target signal later.

[0028] In some example implementations, the grouping algorithm groups and stores the signals according to the accumulated time of the signals. The analog signals or interactive signals are grouped according to the preset number of ordered sub-files for storage, and a group of analog signals or interactive signal data is stored in an ordered sub-file. It is worth noting that the signals stored in the same ordered sub-file can be stored according to the order of accumulated time or according to a preset order rule, that is, the signal data stored in the same group is also ordered, and those skilled in the art can make corresponding settings according to actual operation or travel requirements, which is not limited here.

[0029] In a simple example implementation, there are 120 analog signals or interactive signals in total, and the preset number of groups is 5, that is, each ordered sub-file can store 5 signal data, and the 5 analog signals or interactive signals are divided into the same group, and the group of analog signals or interactive signals is stored in the same ordered sub-file. It is worth noting that the number of data that can be stored in the ordered sub-file can be set accordingly according to the actual operation or operation requirements, and there is no restriction here.

[0030] It is worth noting that in the actual operation or calculation process, the simulation model operation and the interactive device operation are not run simultaneously, but are independent of each other, that is, the data sources of the analog signal and the interactive signal are different, and the storage and grouping of the analog signal and the storage and grouping of the interactive signal can be carried out simultaneously or non-simultaneously. Here, corresponding storage or grouping settings can be made according to actual conditions.

[0031] In some example implementations, the simulation signal and the interactive signal are stored in different ordered subfiles through the TDMS module of Labview. Since the TDMS module of the Labview component has the feature of real-time storage, the signal can be stored in the ordered subfiles in real time, thereby improving the timeliness of data storage.

[0032] Step 103: Acquire an observation signal, where the observation signal includes ID information of a target simulation signal and ID information of a target interaction signal.

[0033] Step 104: retrieve the target simulation signal and the target interaction signal from the ordered sub-files according to the observed signal.

[0034] In some example implementations, based on the ID information of the target analog signal and the ID information of the target interaction signal carried in the observation signal, an inverse grouping algorithm is used to locate the ordered subfiles where the target analog signal and the target interaction signal are located and their positions in the ordered subfiles, thereby reading the target analog signal and the target interaction signal.

[0035] Specifically, in some example implementations, the target analog signal and the target interactive signal are retrieved from the ordered subfiles according to the observed signal, including: obtaining the target analog signal in the first ordered subfile according to the third accumulated time included in the ID information of the target analog signal; obtaining the target analog signal in the second ordered subfile according to the fourth accumulated time included in the ID information of the target interactive signal. The target signal that needs to be fused can be accurately found through the third accumulated time and the fourth accumulated time of the target analog signal and the target interactive signal, thereby improving the accuracy of finding and calling the target signal.

[0036] Further, in some example implementations, the target simulation signal and the target interaction signal are retrieved from the ordered subfile according to the observation signal, including: according to the third cumulative time, the position of the target simulation signal in the first ordered subfile is located by a preset reverse grouping algorithm, and the target simulation signal is obtained; according to the fourth cumulative time, the position of the target interaction signal in the second ordered subfile is located by a preset reverse grouping algorithm, and the target interaction signal is obtained. Since the simulation signal and the interaction signal are stored in the ordered subfile according to the cumulative time and the grouping algorithm, the storage position of the target signal can be deduced by the reverse grouping algorithm through the cumulative time information included in the ID information of the target signal, and the target simulation signal and the target interaction signal can be accurately located in the ordered subfile through the third cumulative time and the fourth cumulative time of the target simulation signal and the target interaction signal. By inferring the position of the target signal according to the cumulative time result, the implementation method of the target signal is simple and efficient.

[0037] In some example implementations, the de-grouping algorithm determines a specific storage location of the target signal in the ordered sub-file according to the ID information of the target signal carried by the observation signal.

[0038] In a simple example implementation, there are a total of 120 simulation signals or interactive signals, and the preset number of groups is 5, that is, each ordered sub-file can store 5 signal data, and the 5 simulation signals or interactive signals are divided into the same group, and the group of simulation signals or interactive signals is stored in the same ordered sub-file. It is worth noting that the number of storable data in the ordered sub-file can be set accordingly according to the actual operation or line requirements, and there is no restriction here. Further, according to the observation signal, the target simulation signal and the target interactive signal are retrieved from the ordered sub-file, specifically: for example, the ID information of the observation signal is 63, and according to the fact that 5 signal data can be stored in each ordered sub-file, the storage position of the target signal can be obtained as the third signal in the 12th ordered sub-file. By using time data as the storage basis and search basis, the sub-file where the signal is located and the position of the signal in the sub-file can be accurately located through the reverse grouping method, which is conducive to finding the target signal quickly and efficiently.

[0039] Step 105: fusing the target simulation signal and the target interaction signal to obtain fused data, and displaying the fused data.

[0040] In some example implementations, the target simulation signal and the target interaction signal are subjected to data fusion to obtain fused data, and the fused data is displayed, including: performing data fitting and preprocessing on the target interaction signal to obtain a stable interaction signal; performing data fusion on the target simulation signal and the stable interaction signal to obtain fused data, and the fused data is displayed. By performing data fitting and preprocessing on the interaction signal after obtaining the target interaction signal, the abnormal, jumpy, and unreasonable data in the interaction data are filtered out to obtain a stable interaction signal, thereby reducing the impact of the environment on the data processing accuracy during the generation, transmission, and processing of the interaction data, and improving the accuracy of the data fusion result.

[0041] Since the simulation signal data of the simulation model is regular and controllable, it can be directly used as the data to be fused; while the interactive signal data is easily affected by various factors and is prone to produce unreasonable data such as jumps and anomalies. Therefore, after obtaining the target interactive signal to be fused, the interactive signal is subjected to filtering operations such as fitting and preprocessing to obtain a stable interactive signal, and the stable interactive signal data is used as the interactive signal data to be fused to improve the rationality and accuracy of the data fusion result. It is worth noting that those skilled in the art can also perform pre-processing of data fusion on the target simulation signal in actual operation or demand, or add intervention measures such as filtering and screening during and after data fusion to improve data accuracy, which is not limited here.

[0042] In some example implementations, data is fused according to a preset fusion algorithm, and the result of the fused data is displayed in a curve form. It is worth noting that the preset fusion algorithm can be set according to actual business needs; the fusion result of the fused data can also be displayed in a pie chart, histogram, etc., and those skilled in the art can make adaptive adjustments according to actual business needs, which is not limited here.

[0043] In the embodiment of the present application, since the devices for generating analog signals and interactive signals are respectively operated simultaneously, that is, the analog signals and interactive signals come from different signal sources, and the data sources are independent of each other, the present application obtains fixed ID information corresponding to the analog signals and interactive signals, and stores each signal in an ordered sub-file in a dispersed manner according to the accumulated time included in the ID information, so that the storage basis of data from different sources can be traced. Therefore, in the process of data fusion, the target analog signals and target interactive signals stored in the ordered sub-files can be accurately called according to the ID information of the target analog signals and target interactive signals included in the observed signals, thereby improving the efficiency and accuracy of searching and calling data from different data sources, thereby improving the accuracy and efficiency of data fusion.

[0044] The step division of the above methods is only for the purpose of clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs without changing the core design of the algorithm and process are all within the scope of protection of this patent.

[0045] The embodiment of the present application relates to a data fusion device. The details of the data fusion device of this embodiment are specifically described below. The following content is only the implementation details provided for the convenience of understanding and is not necessary for implementing this embodiment. Figure 3 It is a schematic diagram of the internal structure of the data fusion device of this embodiment, including: a signal acquisition module, a data grouping storage module, an observation signal acquisition module, a to-be-fused data acquisition module and a data fusion module.

[0046] Among them, the signal acquisition module is used to acquire the simulation signal and the interactive signal, the simulation signal and the interactive signal include ID information, and the ID information includes the cumulative time of the signal; the data group storage module is used to store the simulation signal and the interactive signal in different ordered sub-files according to the cumulative time; the observation signal acquisition module is used to acquire the observation signal, and the observation signal includes the ID information of the target simulation signal and the ID information of the target interactive signal; the data acquisition module to be fused is used to retrieve the target simulation signal and the target interactive signal from the ordered sub-file according to the observation signal; the data fusion module is used to fuse the target simulation signal and the target interactive signal to obtain fused data, and display the fused data. The simulation signal is a simulation signal output based on the simulation model, and it is pre-specified that each simulation signal includes a fixed internal ID information, and the ID information includes the cumulative time of the simulation signal. Similarly, the interactive signal is output by the interactive device, and it is pre-specified that each interactive signal includes a fixed internal ID information, and the ID information includes the cumulative time of the interactive signal.

[0047] It is not difficult to find that this embodiment is a device embodiment corresponding to the above method embodiment, and this embodiment can be implemented in conjunction with the above method embodiment. The relevant technical details and technical effects mentioned in the above embodiment are still valid in this embodiment, and in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the above embodiment.

[0048] In the embodiment of the present application, since the devices for generating analog signals and interactive signals are respectively operated simultaneously, that is, the analog signals and interactive signals come from different signal sources, and the data sources are independent of each other, the present application obtains fixed ID information corresponding to the analog signals and interactive signals, and stores each signal in an ordered sub-file in a dispersed manner according to the accumulated time included in the ID information, so that the storage basis of data from different sources can be traced. Therefore, in the process of data fusion, the target analog signals and target interactive signals stored in the ordered sub-files can be accurately called according to the ID information of the target analog signals and target interactive signals included in the observed signals, thereby improving the efficiency and accuracy of searching and calling data from different data sources, thereby improving the accuracy and efficiency of data fusion.

[0049] The present application embodiment relates to an electronic device, such as Figure 4 As shown, it includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the data fusion method in the above-mentioned embodiments.

[0050] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0051] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0052] The embodiment of the present application relates to a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the above method embodiment is implemented.

[0053] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0054] An embodiment of the present application further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps in the data fusion method described in any of the above embodiments.

[0055] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. A data fusion method, characterized in that: include: Acquire an analog signal and an interactive signal, wherein the analog signal and the interactive signal include ID information, and the ID information includes the accumulated time of the signal; storing the simulation signal and the interaction signal into different ordered sub-files respectively according to the accumulated time; Acquire an observation signal, wherein the observation signal includes ID information of a target simulation signal and ID information of a target interaction signal; According to the observation signal, the target simulation signal and the target interaction signal are retrieved from the ordered sub-files; The target simulation signal and the target interaction signal are subjected to data fusion to obtain fused data, and the fused data is displayed.

2. The data fusion method according to claim 1, characterized in that: The step of storing the simulation signal and the interaction signal in different ordered sub-files according to the accumulated time comprises: According to the first accumulated time included in the ID information of the analog signal, the analog signal is grouped according to a grouping algorithm to obtain a first grouping result, and according to the first grouping result, the analog signal is stored in a first ordered sub-file; According to the second accumulated time included in the ID information of the interactive signal, the interactive signal is grouped according to a grouping algorithm to obtain a second grouping result, and the interactive signal is stored in a second ordered subfile according to the second grouping result.

3. The data fusion method according to claim 2, characterized in that: The step of retrieving the target simulation signal and the target interaction signal from the ordered sub-file according to the observation signal comprises: Acquire the target analog signal in the first ordered sub-file according to the third accumulated time included in the ID information of the target analog signal; The target analog signal is obtained in the second ordered sub-file according to the fourth accumulated time included in the ID information of the target interactive signal.

4. The data fusion method according to claim 3, characterized in that: The step of retrieving the target simulation signal and the target interaction signal from the ordered sub-file according to the observation signal comprises: According to the third accumulated time, locate the position of the target analog signal in the first ordered sub-file by using a preset reverse grouping algorithm, and obtain the target analog signal; According to the fourth accumulated time, the position of the target interaction signal in the second ordered subfile is located by using a preset inverse grouping algorithm, and the target interaction signal is acquired.

5. The data fusion method according to any one of claims 1 to 4, characterized in that: The step of fusing the target simulation signal and the target interaction signal to obtain fused data, and displaying the fused data, includes: Performing data fitting and preprocessing on the target interaction signal to obtain a stable interaction signal; The target simulation signal and the stable interaction signal are subjected to data fusion to obtain fused data, and the fused data is displayed.

6. The data fusion method according to any one of claims 1 to 4, characterized in that: The simulation signal and the interactive signal are respectively stored in different ordered sub-files through the TDMS module of Labview.

7. A data fusion device, characterized in that: include: A signal acquisition module, used to acquire an analog signal and an interactive signal, wherein the analog signal and the interactive signal include ID information, and the ID information includes the accumulated time of the signal; A data grouping storage module, used for storing the simulation signal and the interactive signal into different ordered sub-files according to the accumulated time; An observation signal acquisition module, used to acquire an observation signal, wherein the observation signal includes ID information of a target simulation signal and ID information of a target interaction signal; A data acquisition module to be fused, used for retrieving the target simulation signal and the target interaction signal from the ordered sub-files according to the observation signal; The data fusion module is used to fuse the target simulation signal and the target interaction signal to obtain fused data, and display the fused data.

8. An electronic device, characterized in that: The method comprises a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps in the data fusion method as claimed in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The readable storage medium stores a program or an instruction, and when the program or the instruction is executed by the processor, the steps in the data fusion method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps in the data fusion method according to any one of claims 1 to 6.

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