Data management method and system for current signal

Abstract

The application provides a data management and control method and system of a current signal, wherein a reference current signal in first reference current interaction data is subjected to signal mining to obtain a first signal mining result, and a key semantic of the reference current signal in the first reference current interaction data is acquired, so that a second signal mining result of the reference current signal in the first reference current interaction data is determined according to an association between the first signal mining result and the key semantic and in combination with the first reference current interaction data; and the second signal mining result is analyzed to obtain a current data control instruction. According to the above operation steps, the reference current signal can be analyzed multiple times, so that the accuracy of information reading in the reference current signal can be effectively improved, and the reliability of the current data control instruction can be ensured.

Description

Technical Field

[0001] This application relates to the field of current signal and data management technology, and more specifically, to a data management method and system for current signals. Background Technology

[0002] Data management is the process of effectively collecting, storing, processing, and applying data using computer hardware and software technologies. Its purpose is to fully and effectively utilize data. The key to effective data management is data organization.

[0003] In practice, data control requires precise acquisition of operational commands to ensure accurate and reliable data management. However, during implementation, current signals may be subject to various interferences, making it difficult to guarantee the accuracy and reliability of data control. Summary of the Invention

[0004] To address the technical problems existing in related technologies, this application provides a data management method and system for current signals.

[0005] In a first aspect, a data management and control method for current signals is provided. The method includes at least: performing signal mining on a reference current signal in first reference current interaction data to obtain a first signal mining result of the reference current signal in the first reference current interaction data; obtaining key semantics of the reference current signal in the first reference current interaction data; determining a second signal mining result of the reference current signal in the first reference current interaction data based on the correlation between the first signal mining result and the key semantics, according to the first reference current interaction data; and parsing the second signal mining result to obtain a current data control instruction.

[0006] In one standalone embodiment, the step of performing signal mining on the reference current signal in the first reference current interaction data to obtain a first signal mining result of the reference current signal in the first reference current interaction data includes: inputting the first reference current interaction data into a current signal intelligent analysis thread, and obtaining the first signal mining result output by the current signal intelligent analysis thread.

[0007] In one standalone embodiment, obtaining the key semantics of the reference current signal in the first reference current interaction data includes: obtaining the key semantics of the reference current signal in the first reference current interaction data based on the first signal mining result belonging to a pre-set standard signal index.

[0008] In one independently implemented embodiment, obtaining the key semantics of the reference current signal in the first reference current interaction data includes: inputting the first reference current interaction data into a current signal optimization thread to obtain the location data of at least two current information decision nodes output by the current signal optimization thread; determining the similarity between the different current information decision nodes based on the location data of the at least two current information decision nodes; and obtaining the key semantics of the reference current signal in the first reference current interaction data based on the similarity between the different current information decision nodes.

[0009] In one independently implemented embodiment, determining the second signal mining result of the reference current signal in the first reference current interaction data based on the correlation between the first signal mining result and the key semantics, according to the first reference current interaction data, includes: obtaining the target signal meaning corresponding to the first signal mining result; determining the first signal mining result as the second signal mining result of the reference current signal in the first reference current interaction data based on the key semantics belonging to the target signal meaning; or, based on the key semantics belonging to something other than the target signal meaning, performing semantic analysis on the first reference current interaction data, and determining the second signal mining result of the reference current signal in the first reference current interaction data based on the result of the semantic analysis.

[0010] In one standalone embodiment, obtaining the meaning of the target signal corresponding to the first signal mining result includes: obtaining the current signal label corresponding to the first signal mining result or the sample semantic matrix where the first signal mining result is located, and determining the meaning of the target signal based on the current signal label.

[0011] In one standalone embodiment, obtaining the first signal mining result or the current signal label corresponding to the sample semantic matrix where the first signal mining result is located includes: performing attribute filtering on the first reference current interaction data to determine the attributes of the reference current signal in the first reference current interaction data; searching for the interference factor description set corresponding to the attributes of the reference current signal to obtain the first signal mining result or the current signal label corresponding to the sample semantic matrix where the first signal mining result is located.

[0012] In one standalone embodiment, determining the second signal mining result of the reference current signal in the first reference current interaction data based on the result of semantic analysis includes: obtaining at least one type of second reference current interaction data of the reference current signal based on the result of semantic analysis; obtaining the second signal mining result of the reference current signal in the at least one type of second reference current interaction data and determining it as a target data control strategy; and obtaining the second signal mining result of the reference current signal in the first reference current interaction data based on the first signal mining result of the reference current signal in the first reference current interaction data through the target data control strategy.

[0013] In one standalone embodiment, obtaining at least one type of second reference current interaction data of the reference current signal based on the result of semantic analysis includes: determining a signal tag for the reference current signal based on the result of semantic analysis; and obtaining at least one type of current interaction data corresponding to the signal tag in a sample knowledge graph through the signal tag, and determining it as the second reference current interaction data.

[0014] In one standalone embodiment, the method further includes: obtaining a signal tag for the reference current signal; and updating the signal tag with a second signal mining result of the reference current signal in the first reference current interaction data.

[0015] Secondly, a data management system for current signals is provided, comprising a processor and a memory that communicate with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above-described method.

[0016] This application provides a data management method and system for current signals. In this embodiment, signal mining is performed on the reference current signal in first reference current interaction data to obtain a first signal mining result. Key semantics of the reference current signal in the first reference current interaction data are then obtained. Based on the correlation between the first signal mining result and the key semantics, a second signal mining result of the reference current signal in the first reference current interaction data is determined. The second signal mining result is then parsed to obtain a current data control indication. By performing multiple analyses on the reference current signal, the accuracy of information reading from the reference current signal can be effectively improved, thereby ensuring the reliability of the current data control indication. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a data management method for a current signal provided in an embodiment of this application.

[0019] Figure 2 This is a block diagram of a current signal data management device provided in an embodiment of this application.

[0020] Figure 3 This is an architecture diagram of a current signal data management system provided in an embodiment of this application. Detailed Implementation

[0021] To better understand the above technical solutions, the technical solutions of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this application and the specific features in the embodiments are detailed descriptions of the technical solutions of this application, rather than limitations on the technical solutions of this application. In the absence of conflict, the embodiments of this application and the technical features in the embodiments can be combined with each other.

[0022] Please see Figure 1 This paper illustrates a data management method for current signals, which may include the technical solutions described in steps 100-400.

[0023] Step 100: Perform signal mining on the reference current signal in the first reference current interaction data to obtain the first signal mining result of the reference current signal in the first reference current interaction data.

[0024] Step 200: Obtain the key semantics of the reference current signal in the first reference current interaction data.

[0025] Step 300: Based on the correlation between the first signal mining result and the key semantics, determine the second signal mining result of the reference current signal in the first reference current interaction data according to the first reference current interaction data.

[0026] Step 400: Analyze the second signal mining result to obtain the current data control indication.

[0027] It is understood that when performing the steps described in steps 100-400 above, signal mining is performed on the reference current signal in the first reference current interaction data to obtain a first signal mining result, and key semantics of the reference current signal in the first reference current interaction data are obtained. Based on the correlation between the first signal mining result and the key semantics, and combined with the first reference current interaction data, a second signal mining result of the reference current signal in the first reference current interaction data is determined. The second signal mining result is then parsed to obtain the current data control indication. According to the above operation steps, multiple analyses of the reference current signal can effectively improve the accuracy of information reading from the reference current signal, thereby ensuring the reliability of the current data control indication.

[0028] In an alternative embodiment, the inventors have discovered that when performing signal mining on the reference current signal in the first reference current interaction data, there may be a problem of inaccurate signal mining, making it difficult to accurately obtain the first signal mining result of the reference current signal in the first reference current interaction data. In order to improve the above-mentioned technical problem, the step described in step 100 of performing signal mining on the reference current signal in the first reference current interaction data to obtain the first signal mining result of the reference current signal in the first reference current interaction data may specifically include the content described in step 110.

[0029] Step 110: Input the first reference current interaction data into the current signal intelligent analysis thread to obtain the first signal mining result output by the current signal intelligent analysis thread.

[0030] It is understood that when performing the content described in step 110 above, when performing signal mining on the reference current signal in the first reference current interaction data, the problem of inaccurate signal mining is improved, so that the first signal mining result of the reference current signal in the first reference current interaction data can be accurately obtained.

[0031] In an alternative embodiment, the inventors discovered that when obtaining the key semantics of the reference current signal in the first reference current interaction data, there may be a problem that the pre-set standard signal indicators are inaccurate, making it difficult to accurately obtain the key semantics of the reference current signal. In order to improve the above-mentioned technical problem, the step of obtaining the key semantics of the reference current signal in the first reference current interaction data described in step 200 may specifically include the content described in step 210.

[0032] Step 210: Based on the fact that the first signal mining result belongs to the pre-set standard signal index, obtain the key semantics of the reference current signal in the first reference current interaction data.

[0033] It is understood that when performing the content described in step 210 above, when obtaining the key semantics of the reference current signal in the first reference current interaction data, the problem of inaccurate pre-set standard signal indicators is improved, thereby enabling accurate acquisition of the key semantics of the reference current signal.

[0034] In an alternative embodiment, the inventors discovered that when obtaining the key semantics of the reference current signal in the first reference current interaction data, there may be a problem of inaccurate positioning data of the current information decision node, making it difficult to accurately obtain the key semantics of the reference current signal in the first reference current interaction data. To improve the above technical problem, the step of obtaining the key semantics of the reference current signal in the first reference current interaction data described in step 200 may specifically include the content described in steps a-c.

[0035] Step a: Input the first reference current interaction data into the current signal optimization thread to obtain the positioning data of no less than two current information decision nodes output by the current signal optimization thread.

[0036] Step b: Using the location data of at least two current information decision nodes, determine the similarity between current information decision nodes that have differences.

[0037] Step c: By using the similarity between the decision nodes with differing current information, the key semantics of the reference current signal in the first reference current interaction data are obtained.

[0038] It is understood that when performing the content described in steps a-c above, when obtaining the key semantics of the reference current signal in the first reference current interaction data, the problem of inaccurate positioning data of the current information decision node is improved, thereby enabling accurate acquisition of the key semantics of the reference current signal in the first reference current interaction data.

[0039] In an alternative embodiment, the inventors discovered that when using the correlation between the first signal mining result and the key semantics based on the first reference current interaction data, there may be a problem of inaccurate signal meaning mining, making it difficult to accurately determine the second signal mining result of the reference current signal in the first reference current interaction data. In order to improve the above-mentioned technical problem, the step described in step 300, which uses the correlation between the first signal mining result and the key semantics to determine the second signal mining result of the reference current signal in the first reference current interaction data, may specifically include the content described in step 310.

[0040] Step 310: Obtain the target signal meaning corresponding to the first signal mining result; based on the fact that the key semantics are within the target signal meaning, determine the first signal mining result as the second signal mining result of the reference current signal in the first reference current interaction data; or, based on the fact that the key semantics are outside the target signal meaning, perform semantic analysis on the first reference current interaction data, and determine the second signal mining result of the reference current signal in the first reference current interaction data based on the result of the semantic analysis.

[0041] It is understood that when performing the content described in step 310 above, the problem of inaccurate signal meaning mining is improved by the correlation between the first signal mining result and the key semantics, based on the first reference current interaction data, thereby accurately determining the second signal mining result of the reference current signal in the first reference current interaction data.

[0042] In an alternative embodiment, the inventors discovered that when obtaining the meaning of the target signal corresponding to the first signal mining result, there may be a problem of inaccurate current signal labels, making it difficult to accurately obtain the meaning of the target signal corresponding to the first signal mining result. In order to improve the above-mentioned technical problem, the step of obtaining the meaning of the target signal corresponding to the first signal mining result described in step 310 may specifically include the content described in step 310a.

[0043] Step 310a: Obtain the current signal label corresponding to the first signal mining result or the sample semantic matrix where the first signal mining result is located, and determine the meaning of the target signal based on the current signal label.

[0044] It is understood that when performing the content described in step 310a above, when obtaining the meaning of the target signal corresponding to the first signal mining result, the problem of inaccurate current signal labels is improved, so as to accurately obtain the meaning of the target signal corresponding to the first signal mining result.

[0045] In an alternative embodiment, the inventors have discovered that when obtaining the first signal mining result or the current signal tag corresponding to the sample semantic matrix where the first signal mining result is located, there may be a problem of inaccurate attribute filtering, making it difficult to accurately obtain the first signal mining result or the current signal tag corresponding to the sample semantic matrix where the first signal mining result is located. In order to improve the above-mentioned technical problem, step 310a, the step of obtaining the first signal mining result or the current signal tag corresponding to the sample semantic matrix where the first signal mining result is located, may specifically include the content described in steps A and B.

[0046] Step A: Filter the attributes of the first reference current interaction data to determine the attributes of the reference current signal in the first reference current interaction data.

[0047] Step B involves searching for the interference factor description set corresponding to the attributes of the reference current signal to obtain the current signal label corresponding to the first signal mining result or the sample semantic matrix containing the first signal mining result.

[0048] It is understood that when performing the content described in steps A and B above, when obtaining the first signal mining result or the current signal label corresponding to the sample semantic matrix where the first signal mining result is located, the problem of inaccurate attribute filtering is improved, so that the first signal mining result or the current signal label corresponding to the sample semantic matrix where the first signal mining result is located can be accurately obtained.

[0049] In an alternative embodiment, the inventors discovered that when determining the second signal mining result of the reference current signal in the first reference current interaction data based on the result of semantic analysis, there may be a problem that the result of semantic analysis is inaccurate, making it difficult to accurately determine the second signal mining result of the reference current signal in the first reference current interaction data. In order to improve the above-mentioned technical problem, the step of determining the second signal mining result of the reference current signal in the first reference current interaction data based on the result of semantic analysis described in step 310 may specifically include the content described in steps q1-q3.

[0050] Step q1: Based on the results of semantic analysis, obtain at least one type of second reference current interaction data of the reference current signal.

[0051] Step q2: Obtain the second signal mining result of the reference current signal in the not less than one type of second reference current interaction data, and determine it as the target data control strategy.

[0052] Step q3: Based on the first signal mining result of the reference current signal in the first reference current interaction data, the second signal mining result of the reference current signal in the first reference current interaction data is obtained through the target data control strategy.

[0053] It is understood that when performing the content described in steps q1-q3 above, the second signal mining result of the reference current signal in the first reference current interaction data is determined based on the result of semantic analysis, thereby improving the problem of inaccurate semantic analysis results and enabling accurate determination of the second signal mining result of the reference current signal in the first reference current interaction data.

[0054] In an alternative embodiment, the inventors discovered that when obtaining at least one second reference current interaction data of the reference current signal based on the result of semantic analysis, there may be a problem of inaccurate signal labels for the reference current signal, making it difficult to accurately obtain at least one second reference current interaction data of the reference current signal. In order to improve the above-mentioned technical problem, the step q1 described in step q1 of obtaining at least one second reference current interaction data of the reference current signal based on the result of semantic analysis may specifically include the content described in steps w1 and w2.

[0055] Step w1: Based on the results of semantic analysis, determine the signal label of the reference current signal.

[0056] Step w2: Using the signal tag, obtain at least one type of current interaction data corresponding to the signal tag from the sample knowledge graph, and determine it as the second reference current interaction data.

[0057] It is understood that when performing the content described in steps w1 and w2 above, based on the results of semantic analysis, when obtaining at least one second reference current interaction data of the reference current signal, the problem of inaccurate signal labels of the reference current signal is improved, thereby enabling accurate acquisition of at least one second reference current interaction data of the reference current signal.

[0058] Based on the above, the method further includes the following: obtaining the signal tag of the reference current signal; updating the second signal mining result of the reference current signal in the first reference current interaction data with the signal tag.

[0059] It is understandable that by accurately obtaining the signal tag of the reference current signal, the second signal mining results and signal tag can be updated accurately.

[0060] Based on the above, please refer to the following: Figure 2 A data management and control device 200 for current signals is provided, which is applied to a data management and control system for current signals. The device includes:

[0061] The result mining module 210 is used to perform signal mining on the reference current signal in the first reference current interaction data to obtain the first signal mining result of the reference current signal in the first reference current interaction data.

[0062] The semantic acquisition module 220 is used to acquire the key semantics of the reference current signal in the first reference current interaction data;

[0063] The result determination module 230 is used to determine the second signal mining result of the reference current signal in the first reference current interaction data based on the first reference current interaction data, through the correlation between the first signal mining result and the key semantics.

[0064] The indicator determination module 240 is used to analyze the second signal mining result to obtain the current data control indicator.

[0065] Based on the above, please refer to the following: Figure 3 The diagram illustrates a data management system 300 for current signals, including a processor 310 and a memory 320 that communicate with each other. The processor 310 is used to read computer programs from the memory 320 and execute them to implement the method described above.

[0066] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method during runtime.

[0067] In summary, based on the above scheme, signal mining is performed on the reference current signal in the first reference current interaction data to obtain a first signal mining result. Key semantics of the reference current signal in the first reference current interaction data are then obtained. Based on the correlation between the first signal mining result and the key semantics, and combined with the first reference current interaction data, a second signal mining result of the reference current signal in the first reference current interaction data is determined. The second signal mining result is then parsed to obtain the current data control indication. By performing multiple analyses of the reference current signal according to the above steps, the accuracy of information reading from the reference current signal can be effectively improved, thereby ensuring the reliability of the current data control indication.

[0068] It should be understood that the systems and modules described above can be implemented in various ways. For example, in some embodiments, the systems and modules can be implemented by hardware, software, or a combination of both. The hardware portion can be implemented using dedicated logic; the software portion can be stored in memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated-design hardware. Those skilled in the art will understand that the methods and systems described above can be implemented using computer-executable instructions and / or included in processor control code, for example, such code provided on a carrier medium such as a disk, CD, or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The systems and modules of this application can be implemented not only by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field-programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, or by a combination of the aforementioned hardware circuits and software (e.g., firmware).

[0069] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects may be any one or a combination of the above, or any other possible beneficial effects.

[0070] The basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this application. Such modifications, improvements, and corrections are suggested in this application, and therefore remain within the spirit and scope of the exemplary embodiments of this application.

[0071] Furthermore, this application uses specific terms to describe embodiments of the application. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic associated with at least one embodiment of the application. Therefore, it should be emphasized and noted that "an embodiment," "one embodiment," or "an alternative embodiment" mentioned twice or more in different locations in this specification do not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of the application can be appropriately combined.

[0072] Furthermore, those skilled in the art will understand that aspects of this application can be described and illustrated through several patentable types or situations, including any new and useful combination of processes, machines, products, or substances, or any new and useful improvements thereof. Accordingly, aspects of this application can be implemented entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. All of the above hardware or software may be referred to as a “data block,” “module,” “engine,” “unit,” “component,” or “system.” Furthermore, aspects of this application may manifest as a computer product located on one or more computer-readable media, the product including computer-readable program code.

[0073] Computer storage media may contain a propagated data signal containing computer program code, for example, on baseband or as part of a carrier wave. This propagated signal may take various forms, including electromagnetic, optical, and suitable combinations thereof. Computer storage media can be any computer-readable medium other than a computer-readable storage medium, which can be connected to an instruction execution system, apparatus, or device to enable communication, propagation, or transmission of a program for use. The program code located on the computer storage medium can be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or similar media, or any combination of the above media.

[0074] The computer program code required for the operation of each part of this application can be written in any one or more programming languages, including object-oriented programming languages ​​such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python, etc., conventional procedural programming languages ​​such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages ​​such as Python, Ruby, and Groovy, or other programming languages. This program code can run entirely on the user's computer, or as a standalone software package on the user's computer, or partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer can be connected to the user's computer through any network, such as a local area network (LAN) or wide area network (WAN), or connected to an external computer (e.g., via the Internet), or in a cloud computing environment, or used as a service such as Software as a Service (SaaS).

[0075] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this application are not intended to limit the order of the processes and methods of this application. Although the foregoing disclosure has discussed some currently considered useful embodiments of the invention through various examples, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the substance and scope of the embodiments of this application. For example, while the system components described above can be implemented using hardware devices, they can also be implemented solely through software solutions, such as installing the described system on existing servers or mobile devices.

[0076] Similarly, it should be noted that, in order to simplify the description of the present application and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of the embodiments of the present application sometimes combines multiple features into a single embodiment, drawing, or description thereof. However, this disclosure method does not imply that the subject matter of the application requires more features than those mentioned in the claims. In fact, the embodiments contain fewer features than all the features of the single embodiments disclosed above.

[0077] In some embodiments, numbers describing the quantity of components and attributes are used. It should be understood that such numbers used in the description of embodiments are modified in some examples with the terms "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the numbers are open to adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may be changed depending on the characteristics required by individual embodiments. In some embodiments, numerical parameters are taken into account a specified number of significant digits and employ a general method of digit reservation. Although the numerical ranges and parameters used to confirm their breadth of application in some embodiments of this application are approximate values, in specific embodiments, such values ​​are set as precisely as feasible.

[0078] For each patent, patent application, patent application publication, and other material such as articles, books, specifications, publications, and documents referenced in this application, the entire contents of that patent are incorporated herein by reference. This excludes historical application documents that are inconsistent with or conflict with the content of this application, as well as documents that limit the broadest scope of the claims in this application (currently or subsequently appended to this application). It should be noted that if there are any inconsistencies or conflicts between the descriptions, definitions, and / or terminology used in the supplementary materials of this application and the content of this application, the descriptions, definitions, and / or terminology used in this application shall prevail.

[0079] Finally, it should be understood that the embodiments described in this application are merely illustrative of the principles of the embodiments of this application. Other modifications may also fall within the scope of this application. Therefore, alternative configurations of the embodiments of this application are considered as examples and not limitations, and are regarded as consistent with the teachings of this application. Accordingly, the embodiments of this application are not limited to the embodiments explicitly described and illustrated in this application.

[0080] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A data control method for current signals, characterized in that, The method includes at least: Signal mining is performed on the reference current signal in the first reference current interaction data to obtain the first signal mining result of the reference current signal in the first reference current interaction data. Obtain the key semantics of the reference current signal in the first reference current interaction data; Based on the correlation between the first signal mining result and the key semantics, and according to the first reference current interaction data, the second signal mining result of the reference current signal in the first reference current interaction data is determined. The results of the second signal mining are analyzed to obtain the current data control indication; The step of performing signal mining on the reference current signal in the first reference current interaction data to obtain the first signal mining result of the reference current signal in the first reference current interaction data includes: inputting the first reference current interaction data into the current signal intelligent analysis thread to obtain the first signal mining result output by the current signal intelligent analysis thread. The step of obtaining the key semantics of the reference current signal in the first reference current interaction data includes: obtaining the key semantics of the reference current signal in the first reference current interaction data based on the first signal mining result belonging to a pre-set standard signal index. The step of obtaining the key semantics of the reference current signal in the first reference current interaction data includes: inputting the first reference current interaction data into a current signal optimization thread to obtain the location data of no less than two current information decision nodes output by the current signal optimization thread; determining the similarity between the current information decision nodes that have differences based on the location data of the no less than two current information decision nodes; and obtaining the key semantics of the reference current signal in the first reference current interaction data based on the similarity between the current information decision nodes that have differences. The step of determining the second signal mining result of the reference current signal in the first reference current interaction data based on the first reference current interaction data, through the correlation between the first signal mining result and the key semantics, includes: obtaining the target signal meaning corresponding to the first signal mining result; determining the first signal mining result as the second signal mining result of the reference current signal in the first reference current interaction data based on the key semantics belonging to the target signal meaning; or, performing semantic analysis on the first reference current interaction data based on the key semantics belonging to a value other than the target signal meaning, and determining the second signal mining result of the reference current signal in the first reference current interaction data based on the result of the semantic analysis. Wherein, obtaining the meaning of the target signal corresponding to the first signal mining result includes: obtaining the current signal label corresponding to the first signal mining result or the sample semantic matrix where the first signal mining result is located, and determining the meaning of the target signal based on the current signal label; The step of obtaining the first signal mining result or the current signal label corresponding to the sample semantic matrix where the first signal mining result is located includes: performing attribute filtering on the first reference current interaction data to determine the attributes of the reference current signal in the first reference current interaction data; searching for the interference factor description set corresponding to the attributes of the reference current signal through the attributes of the reference current signal to obtain the first signal mining result or the current signal label corresponding to the sample semantic matrix where the first signal mining result is located. The step of determining the second signal mining result of the reference current signal in the first reference current interaction data based on the result of semantic analysis includes: obtaining at least one type of second reference current interaction data of the reference current signal based on the result of semantic analysis; obtaining the second signal mining result of the reference current signal in the at least one type of second reference current interaction data and determining it as a target data control strategy; and obtaining the second signal mining result of the reference current signal in the first reference current interaction data based on the first signal mining result of the reference current signal in the first reference current interaction data through the target data control strategy. The step of obtaining at least one type of second reference current interaction data of the reference current signal based on the result of semantic analysis includes: determining the signal tag of the reference current signal based on the result of semantic analysis; and obtaining at least one type of current interaction data corresponding to the signal tag in the sample knowledge graph through the signal tag, and determining it as the second reference current interaction data. The method further includes: obtaining a signal tag for the reference current signal; and updating the second signal mining result of the reference current signal in the first reference current interaction data with the signal tag.

2. A data control system for current signals, characterized in that, It includes a processor and a memory that communicate with each other, the processor being configured to read a computer program from the memory and execute it to implement the method of claim 1.

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