CN117221134A - State analysis method and system based on Internet - Google Patents

Abstract

The invention provides a state analysis method and system based on the Internet, and relates to the technical field of data processing. In the invention, for each piece of internet equipment to be analyzed, predicting predicted equipment state description data corresponding to equipment state data clusters to be analyzed corresponding to the internet equipment to be analyzed; respectively carrying out feature mapping processing on predicted equipment state description data corresponding to each piece of internet equipment to be analyzed in a plurality of pieces of internet equipment to be analyzed so as to output target description data mapping feature representation corresponding to each piece of internet equipment to be analyzed; and according to the target description data mapping characteristic representation corresponding to each piece of internet equipment to be analyzed, carrying out equipment state analysis processing on the plurality of pieces of internet equipment to be analyzed so as to output the target equipment state information corresponding to each piece of internet equipment to be analyzed. Based on the method, the accuracy of equipment state analysis can be improved to a certain extent.

Description

State analysis method and system based on Internet

Technical Field

The invention relates to the technical field of data processing, in particular to a state analysis method and system based on the Internet.

Background

Under the perfect condition of the internet technology and the data processing technology, the application scenes of the internet technology and the data processing technology are more, wherein in the application of the internet technology, more internet devices are involved, and the state of the internet device directly influences the operation of the internet system, so that the state of the internet device needs to be analyzed, but in the prior art, the problem of poor accuracy of device state analysis exists.

Disclosure of Invention

In view of the above, the present invention is directed to providing a method and a system for analyzing a state based on internet, so as to improve the accuracy of the state analysis of the device to a certain extent.

In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:

an internet-based state analysis method, comprising:

predicting predicted equipment state description data corresponding to equipment state data clusters corresponding to the internet equipment to be analyzed for each internet equipment to be analyzed, wherein the predicted equipment state description data belongs to predicted equipment state description data of the equipment state data clusters to be analyzed in a first data dimension, the number of the internet equipment to be analyzed is multiple, and the equipment state data clusters to be analyzed comprise multiple pieces of equipment state data to be analyzed;

Performing feature mapping processing on predicted equipment state description data corresponding to each of a plurality of to-be-analyzed internet equipment to output target description data mapping feature representation corresponding to each to-be-analyzed internet equipment;

and according to the target description data mapping characteristic representation corresponding to each piece of internet equipment to be analyzed, carrying out equipment state analysis processing on a plurality of pieces of internet equipment to be analyzed so as to output target equipment state information corresponding to each piece of internet equipment to be analyzed, wherein the target equipment state information is used for reflecting whether the state of the corresponding piece of internet equipment to be analyzed is abnormal or not.

In some preferred embodiments, in the above method for analyzing a status based on the internet, the step of predicting, for each internet device to be analyzed, predicted device status description data corresponding to a device status data cluster to be analyzed corresponding to the internet device to be analyzed includes:

extracting a device state data cluster to be analyzed corresponding to the internet device to be analyzed, wherein the device state data cluster to be analyzed comprises device state data to be analyzed corresponding to other data dimensions except at least one first data dimension;

Extracting first state data corresponding to the first data dimension to analyze the neural network; the first state data analysis neural network performs network optimization formation on the second state data analysis neural network based on the first exemplary state data; the first exemplary state data comprises a first exemplary device state data cluster to be analyzed and corresponding exemplary device state description data in the first data dimension, wherein the first exemplary device state data cluster to be analyzed comprises device state data to be analyzed corresponding to the first data dimension; the second state data analysis neural network performs network optimization formation on the third state data analysis neural network based on second exemplary state data; the second exemplary state data includes a second exemplary device state data cluster to be analyzed corresponding to a plurality of exemplary data dimensions and a corresponding exemplary device state description data combination;

and loading the equipment state data cluster to be analyzed so as to analyze the neural network by utilizing the first state data and analyze and output predicted equipment state description data of the internet equipment to be analyzed in the first data dimension.

In some preferred embodiments, in the above method for analyzing a state based on the internet, the step of performing feature mapping processing on predicted device state description data corresponding to each of a plurality of internet devices to be analyzed to output a target description data mapping feature representation corresponding to each of the internet devices to be analyzed includes:

performing text word segmentation processing on the predicted equipment state description data corresponding to the internet equipment to be analyzed so as to output a plurality of description data word segmentation words corresponding to the predicted equipment state description data;

and carrying out feature mapping processing on the predicted equipment state description data and the description data word segmentation words, and outputting target description data mapping feature representation corresponding to the to-be-analyzed internet equipment.

In some preferred embodiments, in the above method for analyzing a state based on the internet, the step of performing feature mapping processing on the predicted device state description data and the description data word segmentation word, and outputting a target description data mapping feature representation corresponding to the internet device to be analyzed includes:

performing feature mapping processing on the predicted equipment state description data to output a first description data mapping feature representation corresponding to the internet equipment to be analyzed;

Respectively carrying out feature mapping processing on each description data word segmentation word so as to output word mapping feature representation corresponding to each description data word segmentation word, and carrying out sequential splicing on the word mapping feature representation corresponding to each description data word segmentation word according to the distribution position information of the corresponding description data word segmentation word in the prediction equipment state description data so as to form second description data mapping feature representation corresponding to the internet equipment to be analyzed;

and aggregating the first descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment and the second descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment to form the target descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment.

In some preferred embodiments, in the above method for analyzing a state based on the internet, the step of aggregating the first descriptive data mapping feature representation corresponding to the internet device to be analyzed and the second descriptive data mapping feature representation corresponding to the internet device to be analyzed to form the target descriptive data mapping feature representation corresponding to the internet device to be analyzed includes:

Determining at least one description data word from the plurality of description data word words, using the at least one description data word as a corresponding key description data word, and extracting a local second description data mapping characteristic representation corresponding to the key description data word from the second description data mapping characteristic representation corresponding to the internet equipment to be analyzed;

and performing splicing processing on the local second description data mapping characteristic representation and the first description data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment to form a target description data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment.

In some preferred embodiments, in the above method for analyzing a status based on the internet, the step of performing an equipment status analysis process on a plurality of the internet equipment to be analyzed according to the mapping feature representation of the target description data corresponding to each of the internet equipment to be analyzed, so as to output the status information of the target equipment corresponding to each of the internet equipment to be analyzed includes:

extracting target equipment type information corresponding to each piece of internet equipment to be analyzed;

performing device classification processing on a plurality of to-be-analyzed internet devices according to corresponding target device type information to form at least one device classification cluster corresponding to the to-be-analyzed internet devices, wherein the target device type information corresponding to each to-be-analyzed internet device included in each device classification cluster belongs to the same device type information, and the target device type information corresponding to the to-be-analyzed internet device included in different device classification clusters belongs to different device type information;

And respectively carrying out equipment state analysis processing on the to-be-analyzed internet equipment included in the equipment classification clusters based on the target description data mapping characteristic representation corresponding to each to-be-analyzed internet equipment in each equipment classification cluster so as to output target equipment state information corresponding to each to-be-analyzed internet equipment included in the equipment classification clusters.

In some preferred embodiments, in the above-mentioned method for analyzing a status based on the internet, the step of performing, in each device classification cluster, device status analysis processing on the internet devices to be analyzed included in the device classification cluster based on the target description data mapping feature representation corresponding to each internet device to be analyzed, so as to output target device status information corresponding to each internet device to be analyzed included in the device classification cluster includes:

for any one device classification cluster, counting the number of the internet devices to be analyzed, which are included in the device classification cluster, so as to output the device counting number corresponding to the device classification cluster;

performing multiplication operation based on a pre-configured reference classification proportion and the equipment statistics quantity to output a corresponding first equipment statistics quantity, calculating a feature representation matching degree between a target description data mapping feature representation corresponding to each piece of equipment to be analyzed and a target description data mapping feature representation corresponding to each piece of other piece of equipment to be analyzed in the equipment classification cluster for each piece of equipment to be analyzed in the equipment classification cluster, and then selecting the largest feature representation matching degree from feature representation matching degrees between the target description data mapping feature representation corresponding to the piece of equipment to be analyzed and the target description data mapping feature representation corresponding to each piece of other piece of equipment to be analyzed in the equipment classification cluster to be used as a first feature representation matching degree set corresponding to the piece of equipment to be analyzed, and performing average calculation on a first feature representation matching degree included in the first feature representation matching degree set to obtain an average first feature representation matching degree corresponding to the piece of equipment to be analyzed;

And respectively carrying out equipment state analysis processing on each piece of to-be-analyzed Internet equipment included in the equipment classification cluster based on the average value first characteristic representation matching degree corresponding to each piece of to-be-analyzed Internet equipment in the equipment classification cluster so as to output target equipment state information corresponding to each piece of to-be-analyzed Internet equipment included in the equipment classification cluster.

The embodiment of the invention also provides a state analysis system based on the Internet, which comprises the following steps:

the state description data prediction module is used for predicting predicted equipment state description data corresponding to equipment state data clusters to be analyzed corresponding to each piece of internet equipment to be analyzed, wherein the predicted equipment state description data belongs to predicted equipment state description data of the equipment state data clusters to be analyzed in a first data dimension, a plurality of pieces of internet equipment to be analyzed are provided, and the equipment state data clusters to be analyzed comprise a plurality of pieces of equipment state data to be analyzed;

the feature mapping processing module is used for performing feature mapping processing on the predicted equipment state description data corresponding to each piece of internet equipment to be analyzed in the plurality of pieces of internet equipment to be analyzed respectively so as to output target description data mapping feature representation corresponding to each piece of internet equipment to be analyzed;

The device state analysis module is used for carrying out device state analysis processing on the plurality of the internet devices to be analyzed according to the target description data mapping characteristic representation corresponding to each internet device to be analyzed so as to output the target device state information corresponding to each internet device to be analyzed, wherein the target device state information is used for reflecting whether the state of the corresponding internet device to be analyzed is abnormal or not.

In some preferred embodiments, in the above-mentioned internet-based state analysis system, the feature mapping processing module is specifically configured to:

performing text word segmentation processing on the predicted equipment state description data corresponding to the internet equipment to be analyzed so as to output a plurality of description data word segmentation words corresponding to the predicted equipment state description data;

and carrying out feature mapping processing on the predicted equipment state description data and the description data word segmentation words, and outputting target description data mapping feature representation corresponding to the to-be-analyzed internet equipment.

In some preferred embodiments, in the above-mentioned internet-based state analysis system, the device state analysis module is specifically configured to:

extracting target equipment type information corresponding to each piece of internet equipment to be analyzed;

Performing device classification processing on a plurality of to-be-analyzed internet devices according to corresponding target device type information to form at least one device classification cluster corresponding to the to-be-analyzed internet devices, wherein the target device type information corresponding to each to-be-analyzed internet device included in each device classification cluster belongs to the same device type information, and the target device type information corresponding to the to-be-analyzed internet device included in different device classification clusters belongs to different device type information;

and respectively carrying out equipment state analysis processing on the to-be-analyzed internet equipment included in the equipment classification clusters based on the target description data mapping characteristic representation corresponding to each to-be-analyzed internet equipment in each equipment classification cluster so as to output target equipment state information corresponding to each to-be-analyzed internet equipment included in the equipment classification clusters.

According to the state analysis method and system based on the Internet, for each piece of Internet equipment to be analyzed, predicted equipment state description data corresponding to the equipment state data cluster to be analyzed corresponding to the piece of Internet equipment to be analyzed is predicted; respectively carrying out feature mapping processing on predicted equipment state description data corresponding to each piece of internet equipment to be analyzed in a plurality of pieces of internet equipment to be analyzed so as to output target description data mapping feature representation corresponding to each piece of internet equipment to be analyzed; and according to the target description data mapping characteristic representation corresponding to each piece of internet equipment to be analyzed, carrying out equipment state analysis processing on the plurality of pieces of internet equipment to be analyzed so as to output the target equipment state information corresponding to each piece of internet equipment to be analyzed. Based on the method, the predicted equipment state description data is determined first, so that compared with the conventional technical means for performing equipment state analysis processing according to the equipment state data cluster to be analyzed, the analysis basis can be more simplified and invalid information is less, the equipment state analysis precision can be improved to a certain extent, and the problem of low precision in the prior art is solved.

In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

Fig. 1 is a block diagram of a state analysis platform based on internet according to an embodiment of the present invention.

Fig. 2 is a schematic flow chart of steps included in the internet-based state analysis method according to the embodiment of the present invention.

Fig. 3 is a schematic diagram of each module included in the internet-based state analysis system according to the embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

As shown in fig. 1, the embodiment of the invention provides a state analysis platform based on internet. Wherein the internet-based state analysis platform may include a memory and a processor.

In detail, the memory and the processor are electrically connected directly or indirectly to realize transmission or interaction of data. For example, electrical connection may be made to each other via one or more communication buses or signal lines. The memory may store at least one software functional module (computer program) that may exist in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, thereby implementing the internet-based state analysis method provided by the embodiment of the present invention.

Alternatively, in some embodiments, the Memory may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like. The processor may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a System on Chip (SoC), etc.; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

Alternatively, in some embodiments, the internet-based state analysis platform may be a server with data processing capabilities.

With reference to fig. 2, the embodiment of the invention further provides an internet-based state analysis method, which can be applied to the internet-based state analysis platform. The method steps defined by the flow related to the internet-based state analysis method can be realized by the internet-based state analysis platform. The specific flow shown in fig. 2 will be described in detail.

Step S100, predicting predicted equipment state description data corresponding to equipment state data clusters to be analyzed corresponding to the internet equipment to be analyzed for each internet equipment to be analyzed.

In the embodiment of the invention, the internet-based state analysis platform can predict the predicted device state description data corresponding to the device state data cluster to be analyzed corresponding to each internet device to be analyzed. The predicted equipment state description data belongs to predicted equipment state description data of the equipment state data cluster to be analyzed in a first data dimension, the number of the internet equipment to be analyzed is multiple, and the equipment state data cluster to be analyzed comprises multiple pieces of equipment state data to be analyzed.

And step 200, performing feature mapping processing on the predicted device state description data corresponding to each of the plurality of internet devices to be analyzed, so as to output a target description data mapping feature representation corresponding to each of the plurality of internet devices to be analyzed.

In the embodiment of the invention, the internet-based state analysis platform can respectively perform feature mapping processing on the predicted device state description data corresponding to each of the plurality of internet devices to be analyzed so as to output the target description data mapping feature representation corresponding to each of the internet devices to be analyzed.

And step S300, carrying out equipment state analysis processing on a plurality of pieces of Internet equipment to be analyzed according to the target description data mapping characteristic representation corresponding to each piece of Internet equipment to be analyzed so as to output the target equipment state information corresponding to each piece of Internet equipment to be analyzed.

In the embodiment of the invention, the internet-based state analysis platform can analyze and process the device states of a plurality of internet devices to be analyzed according to the target description data mapping characteristic representation corresponding to each internet device to be analyzed so as to output the state information of the target device corresponding to each internet device to be analyzed. The target equipment state information is used for reflecting whether the state of the corresponding internet equipment to be analyzed is abnormal or not.

Based on the method, the predicted equipment state description data is determined first, so that compared with the conventional technical means for performing equipment state analysis processing according to the equipment state data cluster to be analyzed, the analysis basis can be more simplified and invalid information is less, the equipment state analysis precision can be improved to a certain extent, and the problem of low precision in the prior art is solved.

Optionally, in some embodiments, the step S100 may further include the following specific sub-steps, such as step S110, step S120, and step S130.

Step S110, extracting a device state data cluster to be analyzed corresponding to the internet device to be analyzed.

In the embodiment of the invention, the state data processing platform based on the Internet can extract the state data cluster of the equipment to be analyzed corresponding to the internet equipment to be analyzed. The device state data cluster to be analyzed includes device state data to be analyzed corresponding to at least one other data dimension except for a first data dimension (illustratively, the first data dimension refers to a data dimension corresponding to predicted device state description data required to be predicted by the internet device to be analyzed, such as a data transmission dimension, a data receiving dimension, a data calculating dimension, a data storing dimension, etc.).

Step S120, extracting a first state data analysis neural network corresponding to the first data dimension.

In the embodiment of the invention, the state data processing platform based on the internet can extract the first state data analysis neural network corresponding to the first data dimension. The first state data analysis neural network performs network optimization formation on the second state data analysis neural network based on the first exemplary state data; the first exemplary state data includes a first exemplary device state data cluster to be analyzed and corresponding exemplary device state description data (i.e., real data) that is in the first data dimension, the first exemplary device state data cluster to be analyzed includes device state data to be analyzed corresponding to the first data dimension; the second state data analysis neural network performs network optimization formation on the third state data analysis neural network based on second exemplary state data; the second exemplary state data includes a second exemplary device state data cluster to be analyzed corresponding to the plurality of exemplary data dimensions and a corresponding exemplary device state description data combination (that is, the exemplary device state description data combination includes a corresponding plurality of exemplary device state description data; in addition, because the first state data analysis neural network performs network optimization formation on the second state data analysis neural network based on the first example state data, the first example state data comprises a first example equipment state data cluster to be analyzed and example equipment state description data of a first data dimension, the first example equipment state data cluster to be analyzed comprises equipment state data corresponding to the first data dimension, the second state data analysis neural network performs network optimization formation on a third state data analysis neural network based on the second example state data, the second example state data comprises a second example equipment state data cluster to be analyzed corresponding to a plurality of example data dimensions and corresponding example equipment state description data, so that the first state data analysis neural network can learn data related information between the plurality of data dimensions and learn the correspondence between the example equipment state description data of other data dimensions and the predicted equipment state description data of the first data dimension, when loading the equipment state data to be analyzed corresponding to the internet equipment to be analyzed into the first data cluster to be analyzed, the predicted according to the data related information between the first data dimension and the predicted equipment state description data of the first data dimension, so that the accuracy of the output predicted device state description data can be higher, and the prediction with high reliability is realized).

And step S130, loading the equipment state data cluster to be analyzed to analyze and output predicted equipment state description data of the internet equipment to be analyzed in the first data dimension by utilizing the first state data analysis neural network.

In the embodiment of the invention, the internet-based state data processing platform can load the device state data cluster to be analyzed to analyze the predicted device state description data of the internet device to be analyzed in the first data dimension by using the first state data analysis neural network (based on learning of exemplary data, the first state data analysis neural network has a function of predicting the device state description data).

Based on the foregoing steps S110, S120, and S130, since the second exemplary state data includes the second exemplary device state data clusters to be analyzed corresponding to the plurality of exemplary data dimensions, the degree of overfitting of the formed second state data analysis neural network is low, so that the analysis reliability of the first state data analysis neural network formed by optimizing the second state data analysis neural network is high, so that the reliability of the state description data analysis can be improved to a certain extent, and the problem of poor reliability of the state description data analysis in the prior art is solved.

Optionally, in some embodiments, the first exemplary status data is obtained based on:

extracting a first exemplary device to be analyzed operation data cluster and a second exemplary device to be analyzed operation data cluster of the first data dimension, wherein the first exemplary device to be analyzed operation data cluster comprises forming time of device to be analyzed operation data earlier than forming time of device to be analyzed operation data of the second exemplary device to be analyzed operation data cluster, and the first exemplary device to be analyzed operation data cluster comprises device to be analyzed operation data corresponding to the first data dimension (illustratively, the device to be analyzed operation data can be obtained based on analyzing operation log data);

analyzing and outputting a corresponding first exemplary device to be analyzed state data cluster based on the first exemplary device to be analyzed operation data cluster (the first exemplary device to be analyzed operation data cluster may be used as the first exemplary device to be analyzed state data cluster, for example);

based on the second exemplary device to be analyzed operation data cluster, analyzing and outputting the exemplary device state description data of the first data dimension (for example, the device state description data corresponding to the second exemplary device to be analyzed operation data cluster may be used as exemplary device state description data, and the device state description data may be formed by manual configuration).

Optionally, in some embodiments, the first state data analysis neural network is obtained based on the steps of:

extracting a preconfigured first-dimension data screening proportion and extracting a preconfigured second-dimension data screening proportion (the specific proportion values of the first-dimension data screening proportion and the second-dimension data screening proportion are not limited and can be selected according to actual application requirements);

and performing network optimization processing on the second state data analysis neural network based on the first example state data, wherein the basis of the network optimization processing comprises the following steps:

in the first exemplary device state data cluster to be analyzed, screening the device state data to be analyzed corresponding to the first data dimension based on the first dimension data screening proportion (that is, the data quantity of the device state data to be analyzed corresponding to the screened first data dimension is equal to the first dimension data screening proportion);

in the first exemplary device state data cluster to be analyzed, the device state data to be analyzed corresponding to the data dimension other than the first data dimension selected based on the second dimension data screening proportion (i.e. the data quantity ratio of the device state data to be analyzed corresponding to the data dimension other than the first data dimension selected is equal to the second dimension data screening proportion).

Optionally, in some embodiments, the step of loading the device state data cluster to be analyzed to analyze the neural network using the first state data and analyze and output predicted device state description data of the internet device to be analyzed in the first data dimension may further include the following specific sub-steps:

loading the equipment state data cluster to be analyzed to load a feature space mapping model included in the first state data analysis neural network, and performing feature mapping processing on the equipment state data cluster to be analyzed by utilizing the feature space mapping model to output equipment state data mapping feature representations corresponding to each data dimension (that is, discrete equipment state data clusters to be analyzed can be represented by continuous equipment state data mapping feature representations);

analyzing a characteristic representation aggregation model included in the neural network by utilizing the first state data, and performing aggregation processing on the equipment state data mapping characteristic representation corresponding to each data dimension so as to output an aggregated equipment state data mapping characteristic representation corresponding to the to-be-analyzed internet equipment;

Using the first state data analysis neural network, in a reference device state description data cluster corresponding to the first data dimension, matching reference device state description data corresponding to the aggregate device state data mapping feature representation to the reference device state description data of the first state data analysis neural network, as predicted device state description data the internet device to be analyzed has in the first data dimension (illustratively, the first state data analysis neural network may include a classification model, such as a softmax function, to determine an aggregate device state data mapping feature representation corresponding to the internet device to be analyzed using the first state data analysis neural network, loading the aggregate device state data mapping feature representation and the reference device state description data mapping feature representation of the reference device state description data to the classification model of the first state data analysis neural network, outputting a feature representation matching degree of the reference device state description data mapping feature representation corresponding to each reference device state description data by using the classification model, then, the corresponding reference device state description data may be sized based on the feature representation matching degree, wherein the aggregate device state data mapping feature representation corresponding to the aggregate device state data mapping feature representation may be mapped from the reference device state description data having a higher level than the reference device state description feature representation corresponding to the aggregate device state description feature representation corresponding to the reference device state description data mapping feature representation of the reference device state description data such that the aggregate device state description data mapping feature representation may be matched from the first state description data, and selecting a certain number of reference device state description data as predicted device state description data corresponding to the internet device to be analyzed. Wherein the reference device state description data mapping feature representation is formed by feature mapping processing of the reference device state description data. In addition, the feature representation matching degree between the aggregated device state data mapping feature representation and the reference device state description data mapping feature representation corresponding to each reference device state description data may be regarded as the probability size that the aggregated device state data mapping feature representation is matched to each reference device state description data.

Optionally, in some embodiments, the feature representation aggregation model includes an internal feature representation aggregation sub-model, an external feature representation aggregation sub-model, a feature representation association sub-model and a feature representation integration sub-model, based on which the step of analyzing, by using the feature representation aggregation model included in the neural network by using the first state data, an aggregation process for the device state data mapping feature representation corresponding to each data dimension to output an aggregated device state data mapping feature representation corresponding to the internet device to be analyzed may further include the following specific sub-steps:

respectively performing aggregation processing on the device state data mapping feature representations corresponding to each data dimension by using the internal feature representation aggregation sub-model to form an intra-dimension aggregation mapping feature representation corresponding to each data dimension (illustratively, intra-dimension aggregation mapping feature representation corresponding to one data dimension refers to feature representation of the characteristics in the data dimension formed by aggregating all device state data mapping feature representations in the data dimension);

respectively carrying out aggregation treatment on each intra-dimension aggregation mapping feature representation by using the external feature representation aggregation sub-model to form an extra-dimension aggregation mapping feature representation corresponding to the internet equipment to be analyzed (illustratively, the extra-dimension aggregation mapping feature representation refers to a feature representation which is formed by aggregating intra-dimension aggregation mapping feature representations corresponding to a plurality of data dimensions and can reflect the intra-dimension features of each data dimension and the features between the data dimensions, based on the feature representation, the intra-dimension aggregation mapping feature representations of the plurality of data dimensions are aggregated into one extra-dimension aggregation mapping feature representation by using the external feature representation aggregation sub-model, and the data feature is abstracted, the discreteness of data can be avoided at the same time, and the prediction equipment state description data can be predicted;

Performing feature representation association operation on the local mapping feature representations in the dimension external aggregation mapping feature representation by using the feature representation association sub-model to form corresponding association aggregation mapping feature representations (illustratively, each feature representation parameter of the dimension external aggregation mapping feature representation belongs to one local mapping feature representation of the dimension external aggregation mapping feature representation, and the dimension external aggregation mapping feature representation can comprise a plurality of local mapping feature representations;

And performing integration processing on the dimension external aggregation mapping feature representation and the association aggregation mapping feature representation by using the feature representation integration sub-model to form an aggregation equipment state data mapping feature representation corresponding to the to-be-analyzed internet equipment (illustratively, the dimension of the association aggregation mapping feature representation is scaled to be the same as the dimension of the dimension external aggregation mapping feature representation through a first feature representation integration sub-model included in the feature representation integration sub-model, then, the dimension external aggregation mapping feature representation and the dimension external aggregation mapping feature representation are subjected to splicing processing to form a to-be-processed splicing feature representation, and then, the to-be-processed splicing feature representation can be mapped into an aggregation equipment state data mapping feature representation through a second feature representation integration sub-model included in the feature representation integration sub-model, and specifically, parameters included in the to-be-processed splicing feature representation can be mapped into intervals 0-1).

Optionally, in some embodiments, the step of aggregating the device state data mapping feature representations corresponding to each data dimension by using the internal feature representation aggregation sub-model to form a dimension aggregation mapping feature representation corresponding to each data dimension may further include the following specific sub-steps:

Extracting each device state data mapping feature representation corresponding to each data dimension from the internal feature representation aggregation submodel, and respectively corresponding focusing feature analysis influence parameters (for example, a specific calculation mode of the focusing feature analysis influence parameters can refer to the related prior art related to focusing feature analysis, and is not particularly limited herein, for example, for one device state data mapping feature representation, the device state data mapping feature representation and a spatial transformation result corresponding to the device state data mapping feature representation can be multiplied first, then the multiplication result and a shift parameter formed by network optimization are overlapped, then nonlinear mapping can be performed on the overlapped result, then multiplication can be performed on the mapping result and a configuration feature representation formed by network optimization to obtain a multiplication result, then a positive correlation value of the multiplication result can be determined based on any positive correlation function, and finally, normalization processing can be performed on the positive correlation value of the multiplication result based on the positive correlation value corresponding to the device state data mapping feature representation to obtain the focusing feature analysis influence parameters of the device state data mapping feature representation;

And carrying out weighted aggregation treatment on each equipment state data mapping characteristic representation corresponding to each data dimension based on the corresponding focusing characteristic analysis influence parameters by using the internal characteristic representation aggregation submodel to form a dimension aggregation mapping characteristic representation corresponding to each data dimension.

Optionally, in some embodiments, the step of using the external feature representation aggregation sub-model to aggregate each of the intra-dimension aggregation mapping feature representations to form an intra-dimension aggregation mapping feature representation corresponding to the internet device to be analyzed may further include the following specific sub-steps:

extracting focusing characteristic analysis influence parameters corresponding to the aggregation mapping characteristic representations in each dimension from the external characteristic representation aggregation submodel (refer to the previous description);

and carrying out weighted aggregation processing on each intra-dimension aggregation mapping feature representation based on the corresponding focusing feature analysis influence parameters by using the external feature representation aggregation submodel so as to form an extra-dimension aggregation mapping feature representation corresponding to the internet equipment to be analyzed. .

Optionally, in some embodiments, the step S200 may further include the following specific sub-steps:

performing text word segmentation processing on the predicted equipment state description data corresponding to the internet equipment to be analyzed so as to output a plurality of description data word segmentation words corresponding to the predicted equipment state description data (the specific processing mode of the text word segmentation processing can refer to the related prior art);

and carrying out feature mapping processing on the predicted equipment state description data and the description data word segmentation words, and outputting target description data mapping feature representation corresponding to the to-be-analyzed internet equipment.

Optionally, in some embodiments, the step of performing feature mapping processing on the predicted device state description data and the description data word segmentation word, and outputting the target description data mapping feature representation corresponding to the internet device to be analyzed may further include the following specific substeps:

performing feature mapping processing (as described above) on the predicted device state description data to output a first description data mapping feature representation corresponding to the internet device to be analyzed;

Respectively carrying out feature mapping processing on each description data word segmentation word so as to output word mapping feature representation corresponding to each description data word segmentation word, and carrying out sequential splicing on the word mapping feature representation corresponding to each description data word segmentation word according to the distribution position information of the corresponding description data word segmentation word in the prediction equipment state description data so as to form second description data mapping feature representation corresponding to the internet equipment to be analyzed;

and aggregating the first descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment and the second descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment to form the target descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment.

Optionally, in some embodiments, the step of aggregating the first description data mapping feature representation corresponding to the internet device to be analyzed and the second description data mapping feature representation corresponding to the internet device to be analyzed to form the target description data mapping feature representation corresponding to the internet device to be analyzed may further include the following specific substeps:

Determining at least one description data word from the plurality of description data word words, as a corresponding key description data word (the determination mode of any keyword in the prior art can be referred to, for example, the key description data word is determined based on the occurrence times in the corresponding corpus), and extracting a local second description data mapping feature representation corresponding to the key description data word (a local second description data mapping feature representation corresponding to each key description data word) from the second description data mapping feature representation corresponding to the internet equipment to be analyzed;

and performing splicing processing on the (each) local second descriptive data mapping characteristic representation and the first descriptive data mapping characteristic representation corresponding to the to-be-analyzed internet equipment to form a target descriptive data mapping characteristic representation corresponding to the to-be-analyzed internet equipment.

Optionally, in some embodiments, the step S300 may further include the following specific sub-steps:

extracting target equipment type information corresponding to each piece of internet equipment to be analyzed;

performing device classification processing on a plurality of to-be-analyzed internet devices according to corresponding target device type information to form at least one device classification cluster corresponding to the to-be-analyzed internet devices, wherein the target device type information corresponding to each to-be-analyzed internet device included in each device classification cluster belongs to the same device type information, and the target device type information corresponding to the to-be-analyzed internet device included in different device classification clusters belongs to different device type information;

And respectively carrying out equipment state analysis processing on the to-be-analyzed internet equipment included in the equipment classification clusters based on the target description data mapping characteristic representation corresponding to each to-be-analyzed internet equipment in each equipment classification cluster so as to output target equipment state information corresponding to each to-be-analyzed internet equipment included in the equipment classification clusters.

Optionally, in some embodiments, the step of performing device state analysis processing on the internet devices to be analyzed included in the device classification cluster based on the target description data mapping feature representation corresponding to each internet device to be analyzed in each device classification cluster to output the target device state information corresponding to each internet device to be analyzed included in the device classification cluster may further include the following specific substeps:

for any one device classification cluster, counting the number of the internet devices to be analyzed, which are included in the device classification cluster, so as to output the device counting number corresponding to the device classification cluster;

based on a pre-configured reference classification proportion (the specific numerical value of the reference classification proportion is not limited, the configuration can be carried out according to the actual application requirement) and the equipment statistics quantity, multiplication operation is carried out to output a corresponding first equipment statistics quantity, for each piece of internet equipment to be analyzed in the equipment classification cluster, a feature representation matching degree (such as cosine similarity) between a target description data mapping feature representation corresponding to the piece of internet equipment to be analyzed and a target description data mapping feature representation corresponding to each other piece of internet equipment in the equipment classification cluster is calculated, and then a maximum feature representation matching degree is selected from feature representation matching degrees between the target description data mapping feature representation corresponding to the piece of internet equipment to be analyzed and the target description data mapping feature representation corresponding to each other piece of internet equipment in the equipment classification cluster to be used as a first feature representation matching degree set corresponding to the piece of internet equipment to be analyzed, and an average value of the first feature representation matching degree set is calculated to obtain an average value of the feature matching degree corresponding to the piece of internet equipment to be analyzed;

And respectively carrying out equipment state analysis processing on each piece of to-be-analyzed internet equipment included in the equipment classification cluster based on the average value first characteristic representation matching degree corresponding to each piece of to-be-analyzed internet equipment in the equipment classification cluster so as to output target equipment state information corresponding to each piece of to-be-analyzed internet equipment included in the equipment classification cluster (for each piece of equipment classification cluster, for example, the target equipment state information of to-be-analyzed internet equipment with the excessive or insufficient matching degree corresponding to the average value first characteristic representation matching degree in the equipment classification cluster can be configured as abnormal, wherein the excessive or small determining mode can be compared with the average value).

With reference to fig. 3, the embodiment of the invention further provides an internet-based state analysis system, which can be applied to the internet-based state analysis platform. Wherein, the state analysis system based on the Internet can comprise the following software functional modules:

the state description data prediction module is used for predicting predicted equipment state description data corresponding to equipment state data clusters to be analyzed corresponding to each piece of internet equipment to be analyzed, wherein the predicted equipment state description data belongs to predicted equipment state description data of the equipment state data clusters to be analyzed in a first data dimension, a plurality of pieces of internet equipment to be analyzed are provided, and the equipment state data clusters to be analyzed comprise a plurality of pieces of equipment state data to be analyzed;

The feature mapping processing module is used for performing feature mapping processing on the predicted equipment state description data corresponding to each piece of internet equipment to be analyzed in the plurality of pieces of internet equipment to be analyzed respectively so as to output target description data mapping feature representation corresponding to each piece of internet equipment to be analyzed;

the device state analysis module is used for carrying out device state analysis processing on the plurality of the internet devices to be analyzed according to the target description data mapping characteristic representation corresponding to each internet device to be analyzed so as to output the target device state information corresponding to each internet device to be analyzed, wherein the target device state information is used for reflecting whether the state of the corresponding internet device to be analyzed is abnormal or not.

Optionally, in some embodiments, the feature mapping processing module is specifically configured to:

performing text word segmentation processing on the predicted equipment state description data corresponding to the internet equipment to be analyzed so as to output a plurality of description data word segmentation words corresponding to the predicted equipment state description data;

and carrying out feature mapping processing on the predicted equipment state description data and the description data word segmentation words, and outputting target description data mapping feature representation corresponding to the to-be-analyzed internet equipment.

Optionally, in some embodiments, the device state analysis module is specifically configured to:

extracting target equipment type information corresponding to each piece of internet equipment to be analyzed;

performing device classification processing on a plurality of to-be-analyzed internet devices according to corresponding target device type information to form at least one device classification cluster corresponding to the to-be-analyzed internet devices, wherein the target device type information corresponding to each to-be-analyzed internet device included in each device classification cluster belongs to the same device type information, and the target device type information corresponding to the to-be-analyzed internet device included in different device classification clusters belongs to different device type information;

and respectively carrying out equipment state analysis processing on the to-be-analyzed internet equipment included in the equipment classification clusters based on the target description data mapping characteristic representation corresponding to each to-be-analyzed internet equipment in each equipment classification cluster so as to output target equipment state information corresponding to each to-be-analyzed internet equipment included in the equipment classification clusters.

In summary, according to the state analysis method and system based on the internet provided by the invention, for each piece of internet equipment to be analyzed, predicted equipment state description data corresponding to the equipment state data cluster to be analyzed corresponding to the internet equipment to be analyzed is predicted; respectively carrying out feature mapping processing on predicted equipment state description data corresponding to each piece of internet equipment to be analyzed in a plurality of pieces of internet equipment to be analyzed so as to output target description data mapping feature representation corresponding to each piece of internet equipment to be analyzed; and according to the target description data mapping characteristic representation corresponding to each piece of internet equipment to be analyzed, carrying out equipment state analysis processing on the plurality of pieces of internet equipment to be analyzed so as to output the target equipment state information corresponding to each piece of internet equipment to be analyzed. Based on the method, the predicted equipment state description data is determined first, so that compared with the conventional technical means for performing equipment state analysis processing according to the equipment state data cluster to be analyzed, the analysis basis can be more simplified and invalid information is less, the equipment state analysis precision can be improved to a certain extent, and the problem of low precision in the prior art is solved.

The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An internet-based state analysis method, comprising:

predicting predicted equipment state description data corresponding to equipment state data clusters corresponding to the internet equipment to be analyzed for each internet equipment to be analyzed, wherein the predicted equipment state description data belongs to predicted equipment state description data of the equipment state data clusters to be analyzed in a first data dimension, the number of the internet equipment to be analyzed is multiple, and the equipment state data clusters to be analyzed comprise multiple pieces of equipment state data to be analyzed;

performing feature mapping processing on predicted equipment state description data corresponding to each of a plurality of to-be-analyzed internet equipment to output target description data mapping feature representation corresponding to each to-be-analyzed internet equipment;

And according to the target description data mapping characteristic representation corresponding to each piece of internet equipment to be analyzed, carrying out equipment state analysis processing on a plurality of pieces of internet equipment to be analyzed so as to output target equipment state information corresponding to each piece of internet equipment to be analyzed, wherein the target equipment state information is used for reflecting whether the state of the corresponding piece of internet equipment to be analyzed is abnormal or not.

2. The internet-based state analysis method according to claim 1, wherein the step of predicting predicted device state description data corresponding to a device state data cluster to be analyzed corresponding to the internet device to be analyzed for each internet device to be analyzed comprises:

extracting a device state data cluster to be analyzed corresponding to the internet device to be analyzed, wherein the device state data cluster to be analyzed comprises device state data to be analyzed corresponding to other data dimensions except at least one first data dimension;

extracting first state data corresponding to the first data dimension to analyze the neural network; the first state data analysis neural network performs network optimization formation on the second state data analysis neural network based on the first exemplary state data; the first exemplary state data comprises a first exemplary device state data cluster to be analyzed and corresponding exemplary device state description data in the first data dimension, wherein the first exemplary device state data cluster to be analyzed comprises device state data to be analyzed corresponding to the first data dimension; the second state data analysis neural network performs network optimization formation on the third state data analysis neural network based on second exemplary state data; the second exemplary state data includes a second exemplary device state data cluster to be analyzed corresponding to a plurality of exemplary data dimensions and a corresponding exemplary device state description data combination;

And loading the equipment state data cluster to be analyzed so as to analyze the neural network by utilizing the first state data and analyze and output predicted equipment state description data of the internet equipment to be analyzed in the first data dimension.

3. The internet-based state analysis method according to claim 1, wherein the step of performing feature mapping processing on the predicted device state description data corresponding to each of the plurality of internet devices to be analyzed to output the target description data mapping feature representation corresponding to each of the internet devices to be analyzed, respectively, comprises:

performing text word segmentation processing on the predicted equipment state description data corresponding to the internet equipment to be analyzed so as to output a plurality of description data word segmentation words corresponding to the predicted equipment state description data;

and carrying out feature mapping processing on the predicted equipment state description data and the description data word segmentation words, and outputting target description data mapping feature representation corresponding to the to-be-analyzed internet equipment.

4. The method for analyzing the state based on the internet according to claim 3, wherein the step of performing feature mapping processing on the predicted device state description data and the description data word segmentation word and outputting the target description data mapping feature representation corresponding to the internet device to be analyzed includes:

Performing feature mapping processing on the predicted equipment state description data to output a first description data mapping feature representation corresponding to the internet equipment to be analyzed;

respectively carrying out feature mapping processing on each description data word segmentation word so as to output word mapping feature representation corresponding to each description data word segmentation word, and carrying out sequential splicing on the word mapping feature representation corresponding to each description data word segmentation word according to the distribution position information of the corresponding description data word segmentation word in the prediction equipment state description data so as to form second description data mapping feature representation corresponding to the internet equipment to be analyzed;

and aggregating the first descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment and the second descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment to form the target descriptive data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment.

5. The internet-based state analysis method according to claim 4, wherein the step of aggregating the first descriptive data mapping feature representation corresponding to the internet device to be analyzed and the second descriptive data mapping feature representation corresponding to the internet device to be analyzed to form the target descriptive data mapping feature representation corresponding to the internet device to be analyzed comprises:

Determining at least one description data word from the plurality of description data word words, using the at least one description data word as a corresponding key description data word, and extracting a local second description data mapping characteristic representation corresponding to the key description data word from the second description data mapping characteristic representation corresponding to the internet equipment to be analyzed;

and performing splicing processing on the local second description data mapping characteristic representation and the first description data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment to form a target description data mapping characteristic representation corresponding to the to-be-analyzed Internet equipment.

6. The internet-based state analysis method according to any one of claims 1 to 5, wherein the step of performing device state analysis processing on a plurality of the internet devices to be analyzed according to the target description data mapping characteristic representation corresponding to each of the internet devices to be analyzed to output the target device state information corresponding to each of the internet devices to be analyzed includes:

extracting target equipment type information corresponding to each piece of internet equipment to be analyzed;

performing device classification processing on a plurality of to-be-analyzed internet devices according to corresponding target device type information to form at least one device classification cluster corresponding to the to-be-analyzed internet devices, wherein the target device type information corresponding to each to-be-analyzed internet device included in each device classification cluster belongs to the same device type information, and the target device type information corresponding to the to-be-analyzed internet device included in different device classification clusters belongs to different device type information;

And respectively carrying out equipment state analysis processing on the to-be-analyzed internet equipment included in the equipment classification clusters based on the target description data mapping characteristic representation corresponding to each to-be-analyzed internet equipment in each equipment classification cluster so as to output target equipment state information corresponding to each to-be-analyzed internet equipment included in the equipment classification clusters.

7. The internet-based state analysis method according to claim 6, wherein the step of performing device state analysis processing on the internet devices to be analyzed included in the device classification cluster based on the target description data mapping feature representation corresponding to each internet device to be analyzed in each device classification cluster, so as to output target device state information corresponding to each internet device to be analyzed included in the device classification cluster includes:

for any one device classification cluster, counting the number of the internet devices to be analyzed, which are included in the device classification cluster, so as to output the device counting number corresponding to the device classification cluster;

performing multiplication operation based on a pre-configured reference classification proportion and the equipment statistics quantity to output a corresponding first equipment statistics quantity, calculating a feature representation matching degree between a target description data mapping feature representation corresponding to each piece of equipment to be analyzed and a target description data mapping feature representation corresponding to each piece of other piece of equipment to be analyzed in the equipment classification cluster for each piece of equipment to be analyzed in the equipment classification cluster, and then selecting the largest feature representation matching degree from feature representation matching degrees between the target description data mapping feature representation corresponding to the piece of equipment to be analyzed and the target description data mapping feature representation corresponding to each piece of other piece of equipment to be analyzed in the equipment classification cluster to be used as a first feature representation matching degree set corresponding to the piece of equipment to be analyzed, and performing average calculation on a first feature representation matching degree included in the first feature representation matching degree set to obtain an average first feature representation matching degree corresponding to the piece of equipment to be analyzed;

And respectively carrying out equipment state analysis processing on each piece of to-be-analyzed Internet equipment included in the equipment classification cluster based on the average value first characteristic representation matching degree corresponding to each piece of to-be-analyzed Internet equipment in the equipment classification cluster so as to output target equipment state information corresponding to each piece of to-be-analyzed Internet equipment included in the equipment classification cluster.

8. An internet-based state analysis system, comprising:

the state description data prediction module is used for predicting predicted equipment state description data corresponding to equipment state data clusters to be analyzed corresponding to each piece of internet equipment to be analyzed, wherein the predicted equipment state description data belongs to predicted equipment state description data of the equipment state data clusters to be analyzed in a first data dimension, a plurality of pieces of internet equipment to be analyzed are provided, and the equipment state data clusters to be analyzed comprise a plurality of pieces of equipment state data to be analyzed;

the feature mapping processing module is used for performing feature mapping processing on the predicted equipment state description data corresponding to each piece of internet equipment to be analyzed in the plurality of pieces of internet equipment to be analyzed respectively so as to output target description data mapping feature representation corresponding to each piece of internet equipment to be analyzed;

The device state analysis module is used for carrying out device state analysis processing on the plurality of the internet devices to be analyzed according to the target description data mapping characteristic representation corresponding to each internet device to be analyzed so as to output the target device state information corresponding to each internet device to be analyzed, wherein the target device state information is used for reflecting whether the state of the corresponding internet device to be analyzed is abnormal or not.

9. The internet-based state analysis system of claim 8, wherein the feature map processing module is specifically configured to:

performing text word segmentation processing on the predicted equipment state description data corresponding to the internet equipment to be analyzed so as to output a plurality of description data word segmentation words corresponding to the predicted equipment state description data;

and carrying out feature mapping processing on the predicted equipment state description data and the description data word segmentation words, and outputting target description data mapping feature representation corresponding to the to-be-analyzed internet equipment.

10. The internet-based state analysis system of claim 8, wherein the device state analysis module is specifically configured to:

extracting target equipment type information corresponding to each piece of internet equipment to be analyzed;

Performing device classification processing on a plurality of to-be-analyzed internet devices according to corresponding target device type information to form at least one device classification cluster corresponding to the to-be-analyzed internet devices, wherein the target device type information corresponding to each to-be-analyzed internet device included in each device classification cluster belongs to the same device type information, and the target device type information corresponding to the to-be-analyzed internet device included in different device classification clusters belongs to different device type information;

and respectively carrying out equipment state analysis processing on the to-be-analyzed internet equipment included in the equipment classification clusters based on the target description data mapping characteristic representation corresponding to each to-be-analyzed internet equipment in each equipment classification cluster so as to output target equipment state information corresponding to each to-be-analyzed internet equipment included in the equipment classification clusters.