Multi-dimensional data processing method and device, equipment and medium

Abstract

The invention relates to a multi-dimensional data processing method and device, equipment and a medium, and effectively solves the technical problems that the multi-dimensional data processing capacity is low and the requirements of real-time monitoring and early warning cannot be met. The multi-dimensional data processing method comprises the steps that original data used for multi-dimensional data processing is acquired through multiple data sources; obtaining a network operation quality index and a multi-dimensional processing change trend index based on the original data; and determining a multi-dimensional processing priority management coefficient by using the network operation quality index and the multi-dimensional processing change trend index, and sorting multi-dimensional data based on the multi-dimensional processing priority management coefficient.

Description

Technical Field

[0001] The present disclosure relates to the technical field of multidimensional data processing, and in particular to a multidimensional data processing method, apparatus, device, and medium. Background Art

[0002] On a 5G network, downloading a 12GB movie takes only 30 seconds, meaning download speeds exceeding 400M / s. Traditional traffic processing models would cost hundreds of yuan per second, making such a model unsuitable for consumers. Multi-dimensional processing, however, can improve user experience by improving internet speeds and enhancing the user experience. It also supports personalized credit control and account details queries. Processing models can be flexibly tailored to different industries and application scenarios, enabling targeted and differentiated designs to meet the processing demands of new businesses and scenarios. However, existing multi-dimensional processing methods rely on a wide range of data sources, resulting in large volumes and high processing complexity. They lack methods tailored to different data types, resulting in low multi-dimensional data processing capabilities. Furthermore, existing multi-dimensional processing stability warning systems lack models tailored to actual scenarios, failing to meet real-time monitoring and early warning requirements, hindering the timely detection and prediction of potential problems and failures. Summary of the Invention

[0003] In order to solve the above technical problems, the present disclosure provides a multi-dimensional data processing method, device, equipment and medium, which effectively solves the technical problem that the multi-dimensional data processing capability is low and cannot meet the needs of real-time monitoring and early warning.

[0004] In a first aspect, an embodiment of the present disclosure provides a multidimensional data processing method, the method comprising:

[0005] Obtain raw data for multi-dimensional data processing from various data sources;

[0006] Based on the original data, the network operation quality index and the multi-dimensional processing change trend index are obtained;

[0007] The network operation quality index and the multidimensional processing change trend index are used to determine the multidimensional processing priority management coefficient, and the multidimensional data are sorted based on the multidimensional processing priority management coefficient.

[0008] In one possible implementation, in the method provided in an embodiment of the present invention, raw data for multi-dimensional data processing is obtained from multiple data sources, including:

[0009] Collect users' raw data through different data sources;

[0010] Preprocess the raw data.

[0011] In one possible implementation, the method provided in an embodiment of the present invention obtains a network operation quality index and a multi-dimensional processing change trend index based on raw data, including:

[0012] The number of user network connections, user data rate, user signal quality, user call processing unit price, user big data processing unit price and user small data processing unit price are obtained based on the original data;

[0013] Determine the network operation quality index using the number of user network connections, user data rate and user signal quality;

[0014] Determine the multi-dimensional processing change trend index using the user call processing unit price, user big data processing unit price, and user small data processing unit price

[0015] In one possible implementation, the method provided in the embodiment of the present invention further includes:

[0016] Based on the original data, the network operation stability early warning index is obtained;

[0017] The network operation stability warning index is compared with a preset network operation stability warning index, and when the network operation stability warning index is greater than the preset network operation stability warning index, a network operation stability warning is issued.

[0018] In one possible implementation, the method provided in the embodiment of the present invention further includes:

[0019] Based on the original data, a multi-dimensional processing stability warning index is obtained;

[0020] The multidimensional processing stability warning index is compared with a preset multidimensional processing stability warning index, and when the multidimensional processing stability warning index is greater than the preset multidimensional processing stability warning index, a multidimensional processing stability warning is issued.

[0021] In one possible implementation, the method provided in an embodiment of the present invention uses a network operation quality index and a multidimensional processing change trend index to determine a multidimensional processing priority management coefficient, and sorts the multidimensional data based on the multidimensional processing priority management coefficient, including:

[0022] Using the network operation quality index and the multi-dimensional processing change trend index, determine the multi-dimensional processing priority management coefficient;

[0023] The multidimensional data are sorted based on the multidimensional processing priority management coefficient, and user information feedback is performed in sequence.

[0024] In one possible implementation, the method provided in an embodiment of the present invention uses a network operation quality index and a multi-dimensional processing change trend index to determine a multi-dimensional processing priority management coefficient, including:

[0025] Using the network operation quality index and the multi-dimensional processing change trend index, the multi-dimensional processing priority management coefficient is determined by the following formula:

[0026]

[0027] where θ i It is expressed as the multi-dimensional processing priority management coefficient of the i-th user, α i Expressed as the network operation security index of the i-th user, β i Expressed as the i-th multi-dimensional treatment change trend index.

[0028] In a second aspect, an embodiment of the present disclosure provides a multidimensional data processing device, the device comprising:

[0029] an acquisition unit, configured to acquire raw data for multi-dimensional data processing through a variety of data sources;

[0030] A processing unit, for obtaining a network operation quality index and a multi-dimensional processing change trend index based on the original data;

[0031] The determination unit is used to determine the multidimensional processing priority management coefficient by using the network operation quality index and the multidimensional processing change trend index, and to sort the multidimensional data based on the multidimensional processing priority management coefficient.

[0032] In one possible implementation, in the apparatus provided by an embodiment of the present invention, the acquiring unit is specifically configured to:

[0033] Collect users' raw data through different data sources;

[0034] Preprocess the raw data.

[0035] In one possible implementation, in the apparatus provided by an embodiment of the present invention, the processing unit is specifically configured to:

[0036] According to the original data, the number of user network connections, user data rate, user signal quality, user call processing unit price, user big data processing unit price and user small data processing unit price are obtained;

[0037] Determine the network operation quality index using the number of user network connections, user data rate and user signal quality;

[0038] Determine the multi-dimensional processing change trend index using the user call processing unit price, user big data processing unit price, and user small data processing unit price

[0039] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the processing unit is further configured to:

[0040] Based on the original data, the network operation stability early warning index is obtained;

[0041] The network operation stability warning index is compared with a preset network operation stability warning index, and when the network operation stability warning index is greater than the preset network operation stability warning index, a network operation stability warning is issued.

[0042] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the processing unit is further configured to:

[0043] Based on the original data, a multi-dimensional processing stability warning index is obtained;

[0044] The multidimensional processing stability warning index is compared with a preset multidimensional processing stability warning index, and when the multidimensional processing stability warning index is greater than the preset multidimensional processing stability warning index, a multidimensional processing stability warning is issued.

[0045] In one possible implementation, in the apparatus provided by an embodiment of the present invention, the determining unit is specifically configured to:

[0046] Using the network operation quality index and the multi-dimensional processing change trend index, determine the multi-dimensional processing priority management coefficient;

[0047] The multidimensional data are sorted based on the multidimensional processing priority management coefficient, and user information feedback is performed in sequence.

[0048] In one possible implementation, in the apparatus provided by an embodiment of the present invention, the determining unit is specifically configured to:

[0049] Using the network operation quality index and the multi-dimensional processing change trend index, the multi-dimensional processing priority management coefficient is determined by the following formula:

[0050]

[0051] where θ i It is expressed as the multi-dimensional processing priority management coefficient of the i-th user, α i Expressed as the network operation security index of the i-th user, β i Expressed as the i-th multi-dimensional treatment change trend index.

[0052] In a third aspect, an embodiment of the present disclosure provides an electronic device, including:

[0053] Memory;

[0054] processor; and

[0055] computer programs;

[0056] The computer program is stored in the memory and is configured to be executed by the processor to implement the multi-dimensional data processing method as described above.

[0057] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the multi-dimensional data processing method as described above when the computer program is executed by a processor.

[0058] The present disclosure provides a multi-dimensional data processing method, including:

[0059] First, raw data for multidimensional data processing is obtained from multiple data sources. Based on the raw data, a network operation quality index and a multidimensional processing change trend index are then derived. The network operation quality index and the multidimensional processing change trend index are then used to determine a multidimensional processing priority management coefficient, and the multidimensional data is sorted based on the multidimensional processing priority management coefficient. By applying the multidimensional data processing method provided by this disclosure, it is possible to adjust the priority order of user feedback based on the data analysis results, thereby improving information processing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0061] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0062] Figure 1 A flowchart of a multi-dimensional data processing method provided in an embodiment of the present disclosure;

[0063] Figure 2 A schematic structural diagram of a multi-dimensional data processing device provided in an embodiment of the present disclosure;

[0064] Figure 3 A schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0065] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features therein can be combined with each other in the absence of conflict.

[0066] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0067] 1. In the embodiments of the present invention, the term "and / or" describes the association relationship between associated objects, indicating that three possible relationships exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0068] On a 5G network, downloading a 12GB movie takes only 30 seconds, meaning download speeds exceeding 400M per second. Traditional traffic processing models would cost hundreds of yuan per second, making such a model unsuitable for consumers. Multi-dimensional processing, however, can improve user experience by improving internet speeds and enhancing the user experience. It also supports personalized credit control and account details queries. Processing models can be flexibly tailored to different industries and application scenarios, enabling targeted and differentiated designs to meet the processing demands of new businesses and scenarios. However, existing multi-dimensional processing methods rely on a wide range of data sources, resulting in large volumes and high processing complexity. They lack methods tailored to different data types, resulting in low data processing capabilities. Furthermore, existing multi-dimensional processing stability warning systems lack models tailored to actual scenarios, failing to meet real-time monitoring and warning requirements, hindering the timely detection and prediction of potential problems and failures.

[0069] Figure 1 A flow chart of a multi-dimensional data processing method provided in an embodiment of the present disclosure, specifically including the following steps: Figure 1 The following steps S101 to S103 are shown:

[0070] S101. Obtaining raw data for multi-dimensional data processing from multiple data sources.

[0071] In the specific implementation, the original data for multi-dimensional data processing is obtained through various data sources, including the number of user network connections, user data rate, and user signal quality collected by different data sources, which are marked as zc i 、zs i 、zh i, where i = 1, 2...n, i represents the monitoring data of the i-th user, and different data sources collect user call processing unit price, user big data processing unit price, user small data processing unit price, respectively marked as wh i ,wa i 、wi i , where i = 1, 2, ..., n, and i represents the monitoring data of the i-th user. After acquisition, incomplete, duplicate, erroneous, and irregular data in the raw data can also be cleaned and converted. By preprocessing the raw data, the quality, accuracy, and completeness of the data can be improved.

[0072] S102. Based on the original data, obtain a network operation quality index and a multi-dimensional processing change trend index.

[0073] During specific implementation, the multi-dimensional processing priority management coefficient is calculated based on the network operation quality index and the multi-dimensional processing change trend index, which can provide data analysis results related to multi-dimensional processing, help operators understand the processing situation, and provide support for decision-making.

[0074] The calculation formula of the multidimensional processing priority management coefficient is:

[0075] where θ i It is expressed as the multi-dimensional processing priority management coefficient of the i-th user, α i Expressed as the network operation security index of the i-th user, β i Expressed as the i-th multi-dimensional treatment change trend index.

[0076] In this step, early warning can also be carried out. Specifically, the network operation security index is calculated, and the multi-dimensional processing change trend index is calculated. Different types of data are uniformly processed and calculated to generate corresponding processing reports according to the preset algorithm.

[0077] The calculation formula for the user network operation security index is:

[0078] where α i It is expressed as the network operation security index of the i-th user, zs i Denotes the i-th user data rate, zh i Expressed as the signal quality of the i-th user, zc i It is represented as the number of network connections of the i-th user.

[0079] The calculation formula of the multi-dimensional processing change trend index is:

[0080] where β i Expressed as the i-th multi-dimensional treatment change trend index, whi It is expressed as the unit price of call processing for the i-th user, WH 预 Indicates the preset user processing standard, wa i It is expressed as the unit price of big data processing for the i-th user, WA 预 Represents the preset user big data processing standard, wi i It is expressed as the unit price of small data processing for the i-th user, WI 预 It represents the preset user small data processing standard, and n represents the total amount of user monitoring.

[0081] In this step, the network operation stability warning index can also be calculated based on user coverage and network latency, compared with the preset network operation stability warning index, and processed to achieve real-time monitoring of the network operation quality index and timely detection and treatment of potential problems. Specifically, first obtain the monitoring area M and the number of 5G base stations G through the operator's network monitoring system, and use the formula: Get the user coverage density mg; then use the 5G network measurement technology to obtain the user network delay, marked as t i , substitute into the formula: Get the average user network delay ΔT; then analyze the calculation formula of the network operation stability warning index:

[0082] Among them F i Expressed as the network operation stability warning index of the i-th user, α i It is represented as the network operation security index of the i-th user, e is represented as a natural constant, mg is represented as the user coverage density, MG 预 Expressed as the preset user coverage density, t i It represents the network delay of the i-th user, ΔT represents the average network delay of the user, and t0 represents the reasonable difference of the user network delay. Finally, the network operation stability warning index of the user is obtained and compared with the preset network operation stability warning index. If the network operation stability warning index of a user is less than the preset network operation stability warning index, it indicates that the user network operation performance is abnormal, and a network operation stability warning instruction should be sent to the network management terminal immediately.

[0083] In this step, the multi-dimensional processing stability warning index can be calculated based on the user's network usage time and user data usage, and compared with the preset multi-dimensional processing stability warning index, and processed to achieve real-time monitoring of the multi-dimensional processing change trend index, and timely discover and deal with potential problems. Specifically, first collect the user's network usage time and user data usage through the operator's cloud database, and mark them as K i 、U i, where i = 1, 2...n, i represents the monitoring data of the i-th user, and then the calculation formula of the multi-dimensional processing stability warning index is analyzed as follows:

[0084]

[0085] where R i Expressed as the multi-dimensional processing stability warning index of the i-th user, K i It is represented as the network usage time of the i-th user, U i Denotes the data usage of the i-th user, β i It is represented as the i-th multi-dimensional processing change trend index; finally, the user's multi-dimensional processing stability warning index is obtained and compared with the preset multi-dimensional processing stability warning index. If a user's multi-dimensional processing stability warning index is less than the preset multi-dimensional processing stability warning index, it indicates that there is an abnormality in the user's processing data monitoring, and a multi-dimensional processing stability warning instruction should be sent to the network management terminal immediately.

[0086] S103. Determine a multidimensional processing priority management coefficient using the network operation quality index and the multidimensional processing change trend index, and sort the multidimensional data based on the multidimensional processing priority management coefficient.

[0087] During specific implementation, management priorities are arranged in descending order according to the multi-dimensional processing priority management coefficients, and user information feedback is performed in sequence. According to the data analysis results, the priority order of user feedback can be adjusted to improve information processing efficiency.

[0088] In one example, the method provided by the present disclosure may be processed by a multi-dimensional data processing system, specifically:

[0089] Multi-dimensional processing information collection: Specifically, it collects target enterprise and processing-related data through different data sources, including network quality data collection units and business type data collection units;

[0090] Multi-dimensional processing information preprocessing: Specifically, it receives the data information transmitted by the multi-dimensional processing information acquisition module and cleans and converts the incomplete, repeated, erroneous, and non-standard abnormal data in the original data;

[0091] Multi-dimensional processing information processing: Specifically, the network performance data collection unit calculates the user network operation security index, and the service type data collection unit calculates the multi-dimensional processing change trend index;

[0092] Network operation stability warning: Specifically, it extracts the network operation quality index, calculates the network operation stability warning index based on user coverage density and network latency, compares it with the preset network operation stability warning index, and processes it;

[0093] Processing management stability warning: Specifically, it extracts a multi-dimensional processing change trend index, calculates a multi-dimensional processing stability warning index based on the user's network usage time and user data usage, compares it with the preset multi-dimensional processing stability warning index, and then processes it;

[0094] Multi-dimensional processing information analysis: Specifically, the multi-dimensional processing priority management coefficient is calculated based on the network operation quality index and the multi-dimensional processing change trend index;

[0095] Multi-dimensional processing information evaluation: Specifically, it extracts the multi-dimensional processing priority management coefficients, arranges the management priorities in descending order, and provides user information feedback in turn.

[0096] Figure 2 The multidimensional data processing device 200 provided in the embodiment of the present disclosure can execute the processing flow provided in the embodiment of the multidimensional data processing method, such as Figure 2 As shown, the multi-dimensional data processing device 200 includes an acquisition unit 201, a processing unit 202 and a determination unit 203, wherein:

[0097] An acquisition unit 201 is configured to acquire raw data for multi-dimensional data processing from a variety of data sources;

[0098] The processing unit 202 is configured to obtain a network operation quality index and a multi-dimensional processing change trend index based on the original data;

[0099] The determination unit 203 is configured to determine a multidimensional processing priority management coefficient using the network operation quality index and the multidimensional processing change trend index, and sort the multidimensional data based on the multidimensional processing priority management coefficient.

[0100] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the acquiring unit 201 is specifically configured to:

[0101] Collect users' raw data through different data sources;

[0102] Preprocess the raw data.

[0103] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the processing unit 202 is specifically configured to:

[0104] According to the original data, the number of user network connections, user data rate, user signal quality, user call processing unit price, user big data processing unit price and user small data processing unit price are obtained;

[0105] Determine the network operation quality index using the number of user network connections, user data rate and user signal quality;

[0106] Determine the multi-dimensional processing change trend index using the user call processing unit price, user big data processing unit price, and user small data processing unit price

[0107] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the processing unit 202 is further configured to:

[0108] Based on the original data, the network operation stability early warning index is obtained;

[0109] The network operation stability warning index is compared with a preset network operation stability warning index, and when the network operation stability warning index is greater than the preset network operation stability warning index, a network operation stability warning is issued.

[0110] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the processing unit 202 is further configured to:

[0111] Based on the original data, a multi-dimensional processing stability warning index is obtained;

[0112] The multidimensional processing stability warning index is compared with a preset multidimensional processing stability warning index, and when the multidimensional processing stability warning index is greater than the preset multidimensional processing stability warning index, a multidimensional processing stability warning is issued.

[0113] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the determining unit 203 is specifically configured to:

[0114] Using the network operation quality index and the multi-dimensional processing change trend index, determine the multi-dimensional processing priority management coefficient;

[0115] The multidimensional data are sorted based on the multidimensional processing priority management coefficient, and user information feedback is performed in sequence.

[0116] In one possible implementation, in the apparatus provided by the embodiment of the present invention, the determining unit 203 is specifically configured to:

[0117] Using the network operation quality index and the multi-dimensional processing change trend index, the multi-dimensional processing priority management coefficient is determined by the following formula:

[0118]

[0119] where θ i It is expressed as the multi-dimensional processing priority management coefficient of the i-th user, α i Expressed as the network operation security index of the i-th user, β iExpressed as the i-th multi-dimensional treatment change trend index.

[0120] Figure 2 The multidimensional data processing device of the illustrated embodiment can be used to execute the technical solution of the above-mentioned method embodiment. Its implementation principle and technical effects are similar and will not be repeated here.

[0121] In addition, combined Figure 1-Figure 2 The multidimensional data processing method and apparatus described in the embodiments of the present application may be implemented by an electronic device. Figure 3 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application is shown.

[0122] like Figure 3 As shown, the electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803 to implement the multidimensional data processing method of the embodiment described in the present disclosure. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0123] Typically, the following devices may be connected to the I / O interface 805: an input device 806 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 807 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 808 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 809. The communication device 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 800 is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead.

[0124] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart, thereby implementing the voice control method as described above. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 809, or installed from the storage device 808, or installed from the ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the method of the embodiment of the present disclosure are performed.

[0125] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or component. In the present disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.

[0126] In some embodiments, the client and server can communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0127] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0128] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0129] Obtain raw data for multi-dimensional data processing from various data sources;

[0130] Based on the original data, the network operation quality index and the multi-dimensional processing change trend index are obtained;

[0131] The network operation quality index and the multidimensional processing change trend index are used to determine the multidimensional processing priority management coefficient, and the multidimensional data are sorted based on the multidimensional processing priority management coefficient.

[0132] Optionally, when the above one or more programs are executed by the electronic device, the electronic device may also execute other steps described in the above embodiments.

[0133] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including, but not limited to, object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0134] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the module, program segment, or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0135] The units involved in the embodiments described in this disclosure may be implemented in software or hardware, wherein the name of a unit does not necessarily limit the unit itself.

[0136] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0137] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, device or equipment. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0138] The present disclosure provides a multi-dimensional data processing method, including:

[0139] First, raw data for multidimensional data processing is obtained from multiple data sources. Based on the raw data, a network operation quality index and a multidimensional processing change trend index are then derived. The network operation quality index and the multidimensional processing change trend index are then used to determine a multidimensional processing priority management coefficient, and the multidimensional data is sorted based on the multidimensional processing priority management coefficient. By applying the multidimensional data processing method provided by this disclosure, it is possible to adjust the priority order of user feedback based on the data analysis results, thereby improving information processing efficiency.

[0140] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0141] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0142] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0143] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0144] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0145] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A multidimensional data processing method, characterized in that: The method comprises: Obtain raw data for multi-dimensional data processing from a variety of data sources; Based on the raw data, a network operation quality index and a multi-dimensional processing change trend index are obtained; The network operation quality index and the multi-dimensional processing change trend index are used to determine a multi-dimensional processing priority management coefficient, and the multi-dimensional data is sorted based on the multi-dimensional processing priority management coefficient.

2. The method according to claim 1, characterized in that The raw data for multi-dimensional data processing is obtained through various data sources, including: Collect users' raw data through different data sources; The raw data is preprocessed.

3. The method according to claim 2, characterized in that Based on the raw data, a network operation quality index and a multi-dimensional processing change trend index are obtained, including: Obtaining the number of user network connections, user data rate, user signal quality, user call processing unit price, user big data processing unit price and user small data processing unit price according to the original data; Determine the network operation quality index using the number of user network connections, the user data rate and the user signal quality; The multi-dimensional processing change trend index is determined by using the user call processing unit price, the user big data processing unit price and the user small data processing unit price.

4. The method according to claim 3, characterized in that The method further comprises: Based on the original data, a network operation stability early warning index is obtained; The network operation stability warning index is compared with the preset network operation stability warning index, and when the network operation stability warning index is greater than the preset network operation stability warning index, a network operation stability warning is issued.

5. The method according to claim 4, characterized in that The method further comprises: Based on the raw data, a multi-dimensional processing stability early warning index is obtained; The multidimensional processing stability warning index is compared with the preset multidimensional processing stability warning index, and when the multidimensional processing stability warning index is greater than the preset multidimensional processing stability warning index, a multidimensional processing stability warning is issued.

6. The method according to claim 5, characterized in that The method of determining a multidimensional processing priority management coefficient by using the network operation quality index and the multidimensional processing change trend index, and sorting the multidimensional data based on the multidimensional processing priority management coefficient, includes: Determining a multi-dimensional processing priority management coefficient by using the network operation quality index and the multi-dimensional processing change trend index; The multidimensional data is sorted based on the multidimensional processing priority management coefficient, and user information feedback is performed in sequence.

7. The method according to claim 6, characterized in that The determining of the multi-dimensional processing priority management coefficient by using the network operation quality index and the multi-dimensional processing change trend index includes: The network operation quality index and the multi-dimensional processing change trend index are used to determine the multi-dimensional processing priority management coefficient through the following formula: where θ i It is expressed as the multi-dimensional processing priority management coefficient of the i-th user, α i It is represented as the network operation security index of the i-th user, β i Expressed as the i-th multi-dimensional treatment change trend index.

8. A multidimensional data processing device, characterized in that: The device comprises: An acquisition unit, used for acquiring raw data for multi-dimensional data processing through various data sources; A processing unit, used to obtain a network operation quality index and a multi-dimensional processing change trend index based on the original data; A determination unit is used to determine a multidimensional processing priority management coefficient by using the network operation quality index and the multidimensional processing change trend index, and to sort the multidimensional data based on the multidimensional processing priority management coefficient.

9. An electronic device, characterized in that: include: Memory; processor; as well as Computer programs; The computer program is stored in the memory and is configured to be executed by the processor to implement the multidimensional data processing method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the multidimensional data processing method according to any one of claims 1 to 7 is implemented.

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