CN113517998B - Processing method, device, equipment and storage medium of early warning configuration data - Google Patents

Abstract

The invention relates to the technical field of big data, and provides a processing method, a device, equipment and a storage medium of early warning configuration data, which are applied to the intelligent medical field and are used for improving the processing reliability of the early warning configuration data. The processing method of the early warning configuration data comprises the following steps: splitting and storing initial early warning configuration data read from a preset monitoring system by calling a preset service interface to a preset cluster; calling a preset lightweight configuration management system, and reading initial early warning configuration data in a preset cluster and generating a configuration file to obtain an initial early warning configuration file; writing a target early warning configuration file which accords with preset detection conditions in the initial early warning configuration file into a preset distributed system; and reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data. In addition, the invention also relates to a blockchain technology, and initial early warning configuration data can be stored in the blockchain.

Description

Processing method, device, equipment and storage medium of early warning configuration data

Technical Field

The present invention relates to the field of risk management and control, and in particular, to a method, an apparatus, a device, and a storage medium for processing early warning configuration data.

Background

Along with the development of computer technology, configuration data plays an important role in the technical fields of network security, operation and maintenance and the like, and technologies related to early warning configuration data for early warning in the configuration data are also often focused on technical directions. At present, the processing method for the early warning configuration data is usually to manually edit the early warning configuration file and then import the early warning configuration file into a storage system.

However, in the above processing method of the early warning configuration data, because of the problems of misoperation and long time required for manual editing and the centralized storage of the early warning configuration files, the problems of low safety and low reading efficiency exist, and thus, the processing reliability of the early warning configuration data is low.

Disclosure of Invention

The invention provides a processing method, a device, equipment and a storage medium of early warning configuration data, which are used for improving the processing reliability of the early warning configuration data.

The first aspect of the invention provides a method for processing early warning configuration data, which comprises the following steps:

calling a preset service interface, reading initial early warning configuration data of a preset monitoring system, and splitting and storing the initial early warning configuration data into preset clusters, wherein the preset clusters are lightweight distributed high-availability system clusters;

Calling a preset lightweight configuration management system, and reading initial early warning configuration data in the preset cluster and generating a configuration file to obtain an initial early warning configuration file;

detecting the initial early warning configuration file to obtain a target early warning configuration file which accords with preset detection conditions, and writing the target early warning configuration file into a preset distributed system;

and reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data.

Optionally, in a first implementation manner of the first aspect of the present invention, the calling a preset service interface, reading initial early warning configuration data of a preset monitoring system, and splitting and storing the initial early warning configuration data to a preset cluster includes:

when the updating of the object creation information in the preset monitoring system is monitored to be completed in real time through a preset monitoring pool, a preset service interface is called, initial early warning configuration data corresponding to the object creation information in the preset monitoring system is read, and the object creation information comprises monitoring service configuration object information and early warning rule configuration object information;

Sequentially carrying out row splitting and splitting result verification on the initial early warning configuration data to obtain splitting configuration data;

and creating key value pairs of the split configuration data, and storing the key value pairs into a preset cluster.

Optionally, in a second implementation manner of the first aspect of the present invention, the calling the preset lightweight configuration management system reads initial early warning configuration data in the preset cluster and generates a configuration file to obtain an initial early warning configuration file, and includes:

when a preset lightweight configuration management system monitors that the preset cluster stores the initial early warning configuration data in real time, the initial early warning configuration data is read from the preset cluster;

acquiring an early warning configuration type of the initial early warning configuration data, and carrying out format standardization processing on the initial early warning configuration data to obtain early warning configuration data to be processed;

and acquiring a configuration file to be written corresponding to the early warning configuration type, and writing the early warning configuration data to be processed into the configuration file to be written to obtain an initial early warning configuration file, wherein the format of the configuration file to be written is a system monitoring alarm frame format.

Optionally, in a third implementation manner of the first aspect of the present invention, detecting the initial early warning configuration file to obtain a target early warning configuration file meeting a preset detection condition, and writing the target early warning configuration file into a preset distributed system includes:

detecting initial early warning configuration data in the initial early warning configuration file through preset detection conditions to obtain a target early warning configuration file conforming to the preset detection conditions, wherein the preset detection conditions comprise grammar detection rules, format detection rules, missing item detection rules and safety detection rules;

and splitting the target early warning configuration file into a plurality of split configuration files, and loading the plurality of split configuration files into a preset distributed system in series.

Optionally, in a fourth implementation manner of the first aspect of the present invention, splitting the target early warning configuration file into a plurality of split configuration files, and serially loading the plurality of split configuration files into a preset distributed system, where the splitting includes:

splitting the target early warning configuration file into a plurality of split configuration files according to a preset splitting strategy, and reading data of the split configuration files to obtain split configuration file data corresponding to each split configuration file;

The split configuration file data corresponding to each split configuration file are respectively written into a preset message queue to obtain a configuration message queue corresponding to each split configuration file;

and storing the target early warning configuration file to a preset distributed system through the configuration message queue corresponding to each split configuration file.

Optionally, in a fifth implementation manner of the first aspect of the present invention, after the reading, by a preset system monitoring alarm frame, early warning configuration data of a target early warning configuration file in the distributed system, obtaining the target early warning configuration data, the method further includes:

acquiring initial monitoring data of the preset monitoring system, and comparing and analyzing the initial monitoring data through the target early warning configuration data to generate early warning information so as to obtain target monitoring information;

and acquiring evaluation information based on the target monitoring information and the target early warning configuration data, and optimizing the execution process of the target monitoring information and the target early warning configuration data according to the evaluation information and a preset optimization algorithm.

Optionally, in a sixth implementation manner of the first aspect of the present invention, the obtaining initial monitoring data of the preset monitoring system, through the target early warning configuration data, performing comparative analysis on the initial monitoring data and generating early warning information, to obtain target monitoring information includes:

Calling a preset interface to read initial monitoring data of the preset monitoring system, and classifying the monitoring type of the initial monitoring data through a preset classification model to obtain a monitoring type;

matching early warning configuration data corresponding to the monitoring type from the target early warning configuration data to obtain monitoring configuration data;

and based on a preset neural network model and the monitoring configuration data, sequentially performing early warning feature extraction, early warning feature matching and early warning information template writing on the initial monitoring data to obtain target monitoring information.

The second aspect of the present invention provides a processing device for early warning configuration data, including:

the split storage module is used for calling a preset service interface, reading initial early warning configuration data of a preset monitoring system, and splitting and storing the initial early warning configuration data into preset clusters, wherein the preset clusters are lightweight distributed high-availability system clusters;

the generating module is used for calling a preset lightweight configuration management system, reading initial early warning configuration data in the preset cluster and generating a configuration file to obtain an initial early warning configuration file;

the detection module is used for detecting the initial early warning configuration file to obtain a target early warning configuration file which accords with preset detection conditions, and writing the target early warning configuration file into a preset distributed system;

And the reading module is used for reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data.

Optionally, in a first implementation manner of the second aspect of the present invention, the split storage module is specifically configured to:

when the updating of the object creation information in the preset monitoring system is monitored to be completed in real time through a preset monitoring pool, a preset service interface is called, initial early warning configuration data corresponding to the object creation information in the preset monitoring system is read, and the object creation information comprises monitoring service configuration object information and early warning rule configuration object information;

sequentially carrying out row splitting and splitting result verification on the initial early warning configuration data to obtain splitting configuration data;

and creating key value pairs of the split configuration data, and storing the key value pairs into a preset cluster.

Optionally, in a second implementation manner of the second aspect of the present invention, the generating module is specifically configured to:

when a preset lightweight configuration management system monitors that the preset cluster stores the initial early warning configuration data in real time, the initial early warning configuration data is read from the preset cluster;

Acquiring an early warning configuration type of the initial early warning configuration data, and carrying out format standardization processing on the initial early warning configuration data to obtain early warning configuration data to be processed;

and acquiring a configuration file to be written corresponding to the early warning configuration type, and writing the early warning configuration data to be processed into the configuration file to be written to obtain an initial early warning configuration file, wherein the format of the configuration file to be written is a system monitoring alarm frame format.

Optionally, in a third implementation manner of the second aspect of the present invention, the detection module includes:

the detection unit is used for detecting initial early warning configuration data in the initial early warning configuration file through preset detection conditions to obtain a target early warning configuration file conforming to the preset detection conditions, wherein the preset detection conditions comprise grammar detection rules, format detection rules, missing item detection rules and safety detection rules;

the loading unit is used for splitting the target early warning configuration file into sub files to obtain a plurality of split configuration files, and serially loading the split configuration files into a preset distributed system.

Optionally, in a fourth implementation manner of the second aspect of the present invention, the loading unit is specifically configured to:

Splitting the target early warning configuration file into a plurality of split configuration files according to a preset splitting strategy, and reading data of the split configuration files to obtain split configuration file data corresponding to each split configuration file;

the split configuration file data corresponding to each split configuration file are respectively written into a preset message queue to obtain a configuration message queue corresponding to each split configuration file;

and storing the target early warning configuration file to a preset distributed system through the configuration message queue corresponding to each split configuration file.

Optionally, in a fifth implementation manner of the second aspect of the present invention, the processing device of early warning configuration data further includes:

the analysis module is used for acquiring initial monitoring data of the preset monitoring system, comparing and analyzing the initial monitoring data through the target early warning configuration data and generating early warning information to obtain target monitoring information;

and the optimizing module is used for acquiring the evaluation information based on the target monitoring information and the target early warning configuration data and optimizing the execution process of the target monitoring information and the target early warning configuration data according to the evaluation information and a preset optimizing algorithm.

Optionally, in a sixth implementation manner of the second aspect of the present invention, the analysis module is specifically configured to:

calling a preset interface to read initial monitoring data of the preset monitoring system, and classifying the monitoring type of the initial monitoring data through a preset classification model to obtain a monitoring type;

matching early warning configuration data corresponding to the monitoring type from the target early warning configuration data to obtain monitoring configuration data;

and based on a preset neural network model and the monitoring configuration data, sequentially performing early warning feature extraction, early warning feature matching and early warning information template writing on the initial monitoring data to obtain target monitoring information.

A third aspect of the present invention provides a processing device for early warning configuration data, including: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the processing device of the early warning configuration data to execute the processing method of the early warning configuration data.

A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored therein that, when executed on a computer, cause the computer to perform the above-described method of processing early warning configuration data.

In the technical scheme provided by the invention, a preset service interface is called, initial early warning configuration data of a preset monitoring system is read, the initial early warning configuration data is split and stored into preset clusters, and the preset clusters are lightweight distributed high-availability system clusters; calling a preset lightweight configuration management system, and reading initial early warning configuration data in the preset cluster and generating a configuration file to obtain an initial early warning configuration file; detecting the initial early warning configuration file to obtain a target early warning configuration file which accords with preset detection conditions, and writing the target early warning configuration file into a preset distributed system; and reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data. According to the embodiment of the invention, the automatic processing of the initial early warning configuration data is realized, the management convenience, the access efficiency, the reading accuracy and the access safety of the initial early warning configuration data are improved, and the decoupling of a processing system of the initial early warning configuration data is realized, so that the processing reliability of the early warning configuration data is improved.

Drawings

FIG. 1 is a schematic diagram of an embodiment of a method for processing early warning configuration data according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of another embodiment of a method for processing early warning configuration data according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an embodiment of a device for processing early warning configuration data according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of another embodiment of a device for processing early warning configuration data according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an embodiment of a device for processing early warning configuration data according to an embodiment of the present invention.

Detailed Description

The embodiment of the invention provides a processing method, a device, equipment and a storage medium for early warning configuration data, which improves the processing reliability of the early warning configuration data.

The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

For easy understanding, the following describes a specific flow of an embodiment of the present invention, referring to fig. 1, and an embodiment of a method for processing early warning configuration data in an embodiment of the present invention includes:

101. calling a preset service interface, reading initial early warning configuration data of a preset monitoring system, and splitting and storing the initial early warning configuration data into preset clusters, wherein the preset clusters are lightweight distributed high-availability system clusters.

It can be understood that the execution body of the present invention may be a processing device of the early warning configuration data, and may also be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.

The method comprises the steps that a front end submits initial early warning configuration data to a configuration database of a preset monitoring system, the initial early warning configuration data comprise early warning names, expressions, duration, levels, monitoring item names, early warning descriptions and instance names, a server calls a preset monitoring interface to monitor the configuration database of the preset monitoring system, when the configuration database is monitored to be updated, the updated configuration data are searched through preset early warning configuration form fields to obtain initial early warning configuration data, a preset service interface success is called to read the initial early warning configuration data, sub items of each configuration item in the initial early warning configuration data are split into specific form items to obtain split early warning configuration data, the split early warning configuration data are segmented to obtain segmented configuration data, the segmented data are sequentially ordered and index-created according to the sequence of the form items in the initial early warning configuration data to obtain ordered segmented configuration data for creating an index, key value pairs of the ordered segmented configuration data for creating the index are generated, and the segmented configuration data for creating the key value pairs are stored into a lightweight and high-available cluster system based on a preset consistency algorithm Raft.

102. And calling a preset lightweight configuration management system, and reading initial early warning configuration data in a preset cluster and generating a configuration file to obtain an initial early warning configuration file.

The server calls a preset lightweight configuration management system Confd, monitors a preset cluster in real time, retrieves all nodes of the preset cluster based on a preset search engine when the preset cluster stores initial early warning configuration data, obtains initial early warning configuration data, carries out integrity detection and security detection on the initial early warning configuration data to obtain candidate early warning configuration data, obtains file configuration items in a preset configuration file, classifies the candidate early warning configuration data according to the file configuration items to obtain classified configuration data, and writes the classified configuration data into the preset configuration file according to the file configuration items to obtain the initial early warning configuration file.

103. Detecting the initial early warning configuration file to obtain a target early warning configuration file which accords with preset detection conditions, and writing the target early warning configuration file into a preset distributed system.

The preset detection conditions include, but are not limited to, a grammar detection rule and a format detection rule, and the detection order of the grammar detection rule and the format detection rule in the preset detection conditions is not limited, wherein, one detection order is exemplified, for example: the server carries out grammar detection on the initial early warning configuration file according to grammar detection rules in preset detection conditions, and carries out grammar adjustment on the content which does not accord with the grammar rules to obtain a detection configuration file; and judging whether the format of the detection configuration file is the system monitoring alarm frame format in the format detection rule, if so, determining the detection configuration file as a target early warning configuration file, and if not, converting the format of the detection configuration file to obtain the target early warning configuration file.

The server reads the configuration data in the target early warning configuration file, creates an index of the configuration data in the target early warning configuration file through a preset reverse index algorithm, calls a command line tool kubectl in a preset open source container cluster kubergates, and imports the configuration data with the created index into a preset distributed system, wherein the distributed system can be a high-availability key value storage system ETCD.

104. And reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data.

When the server receives the early warning configuration reading request, the early warning configuration reading request is analyzed to obtain an early warning type, an index and a sub-index corresponding to the target early warning configuration file are obtained, and the target early warning configuration data is obtained by searching early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame, an early warning type, an index and a sub-index, wherein the system monitoring alarm frame can be an open source monitoring alarm system and a time sequence data base promethaus. And the system monitors the alarm frame and reads the early warning configuration data in the distributed system, so that the reading management flexibility, the modifying convenience and the reading safety of the target early warning configuration data are improved, and the processing reliability of the early warning configuration data is improved.

According to the embodiment of the invention, the automatic processing of the initial early warning configuration data is realized, the management convenience, the access efficiency, the reading accuracy and the access safety of the initial early warning configuration data are improved, and the decoupling of a processing system of the initial early warning configuration data is realized, so that the processing reliability of the early warning configuration data is improved. The scheme can be applied to the intelligent medical field, so that the construction of the intelligent city is promoted.

Referring to fig. 2, another embodiment of a method for processing early warning configuration data in an embodiment of the present invention includes:

201. calling a preset service interface, reading initial early warning configuration data of a preset monitoring system, and splitting and storing the initial early warning configuration data into preset clusters, wherein the preset clusters are lightweight distributed high-availability system clusters.

Specifically, when the server monitors that the updating of the object creation information in the preset monitoring system is completed in real time through the preset monitoring pool, a preset service interface is called, initial early warning configuration data corresponding to the object creation information in the preset monitoring system is read, and the object creation information comprises monitoring service configuration object information and early warning rule configuration object information; sequentially carrying out row splitting and splitting result verification on the initial early warning configuration data to obtain splitting configuration data; and creating key value pairs for splitting the configuration data, and storing the key value pairs into a preset cluster.

The method comprises the steps that a monitoring pool is established in advance by a server, a database of a preset monitoring system is monitored in real time through the monitoring pool based on a preset time period, when the monitoring pool monitors that the database of the preset monitoring system has object creation information generation or object creation information updating is completed in the preset time period, a preset service interface condul is called, initial early warning configuration data corresponding to the generated or updated object creation information is extracted, and accordingly initial early warning configuration data are obtained, wherein the object creation information comprises monitoring service configuration object information and early warning rule configuration object information.

The server splits the initial early warning configuration data into line data to obtain initial line data, converts the data format of the initial line data into a preset format to obtain configuration line data, or splits the initial early warning configuration data into line data with a preset format through a line splitting model which is created in advance to obtain configuration line data, wherein the preset format can be a data storage format of a preset cluster. After the server obtains the configuration line data, carrying out integrity detection, format detection and rule detection on the configuration line data, wherein the integrity detection is used for detecting whether a missing value exists in the configuration line data, the format detection is used for detecting whether the format of the configuration line data accords with a preset format, the rule detection is used for detecting whether the configuration line data accords with a grammar rule, the configuration line data which is detected to pass is determined to be split configuration data, re-detection (including integrity detection, format detection and rule detection) and re-processing (including but not limited to missing value filling corresponding to the integrity detection, preset format conversion corresponding to the format detection, grammar rule conversion corresponding to the rule detection and the like) are carried out on the configuration line data until the detection passes, and the split configuration data is obtained.

The server generates a key value pair of split configuration data, and based on a preset consistency algorithm (Raft), the split configuration data is stored in each node of a preset cluster (condul) in the form of the key value pair. The management convenience of the initial early warning configuration data is improved by carrying out row splitting and splitting result verification on the initial early warning configuration data, so that the subsequent efficiency and automation of modification configuration of the initial early warning configuration data are facilitated, the consistency and high availability of the split configuration data are ensured by storing the split configuration data into the preset cluster, the access efficiency and reading accuracy of the split configuration data are improved, and the processing reliability of the early warning configuration data is improved.

202. And calling a preset lightweight configuration management system, and reading initial early warning configuration data in a preset cluster and generating a configuration file to obtain an initial early warning configuration file.

Specifically, when a preset lightweight configuration management system monitors initial early warning configuration data stored in a preset cluster in real time, the server reads the initial early warning configuration data from the preset cluster; acquiring an early warning configuration type of initial early warning configuration data, and carrying out format standardization processing on the initial early warning configuration data to obtain early warning configuration data to be processed; and acquiring a configuration file to be written corresponding to the early warning configuration type, and writing the early warning configuration data to be processed into the configuration file to be written to obtain an initial early warning configuration file, wherein the format of the configuration file to be written is a system monitoring alarm frame format.

The server calls a preset lightweight configuration management system Confd, monitors a preset cluster in real time based on a preset binary file, reads initial early warning configuration data when the preset cluster is monitored to store the initial early warning configuration data, classifies the read initial early warning configuration data according to the early warning type through a preset classification network to obtain classified configuration data, extracts label information in the classified configuration data through a preset label extraction algorithm to obtain the early warning configuration type of the initial early warning configuration data, and converts the format of the initial early warning configuration data into an early warning configuration format conforming to a system monitoring alarm frame to obtain the early warning configuration data to be processed.

The server acquires fields of the pre-processed early warning configuration data, traverses and calculates similarity according to a preset edit distance algorithm based on the early warning configuration type and the fields to obtain a similarity value set, sorts the configuration file sets according to the sequence of the similarity value set from large to small, determines the configuration file with the first sorting as the configuration file to be written, writes the pre-processed early warning configuration data into the configuration file to be written, and accordingly obtains an initial early warning configuration file yml. By reading the initial early warning configuration data, carrying out format standardization processing and writing the configuration file to be written, the processing efficiency and the safety of the initial early warning configuration file are improved, and the processing reliability of the early warning configuration data is improved.

203. Detecting the initial early warning configuration file to obtain a target early warning configuration file which accords with preset detection conditions, and writing the target early warning configuration file into a preset distributed system.

Specifically, the server detects initial early warning configuration data in the initial early warning configuration file through preset detection conditions to obtain a target early warning configuration file conforming to the preset detection conditions, wherein the preset detection conditions comprise grammar detection rules, format detection rules, missing item detection rules and safety detection rules; and splitting the target early warning configuration file into a plurality of split configuration files by sub-files, and loading the plurality of split configuration files into a preset distributed system in series.

The preset detection conditions may include other detection rules besides the grammar detection rule, the format detection rule, the missing item detection rule and the security detection rule, and the detection order of the grammar detection rule, the format detection rule, the missing item detection rule, the security detection rule and the like in the preset detection conditions is not limited, wherein, one of the detection orders is exemplified, for example: the method comprises the steps that a server carries out grammar detection on an initial early warning configuration file according to grammar detection rules in preset detection conditions, and carries out grammar adjustment on contents which do not accord with the grammar rules to obtain a first detection configuration file; judging whether the format of the first detection configuration file is a system monitoring alarm frame format in a format detection rule, if yes, determining the first detection configuration file as a second detection configuration file, if not, performing format conversion on the first detection configuration file to obtain a second detection configuration file, obtaining a null value item of the second detection configuration file, judging whether the null value item is the missing item through the missing item detection rule, if yes, marking the null value item and filling the missing value to obtain a third detection configuration file, if not, determining the second detection configuration file as the third detection configuration file, judging whether the third detection configuration file has safety hidden danger information through the safety detection rule, if yes, calling a safety processing script, performing safety processing on the third detection configuration file to obtain a target configuration file, and if not, determining the third detection configuration file as the target early warning configuration file.

The server splits the target configuration file according to a preset splitting strategy, wherein the preset splitting strategy comprises the size and the number of splitting, so that a plurality of splitting configuration files are obtained, a multi-process corresponding to the splitting configuration files is created, the multi-process comprises a parent process and a plurality of sub-processes, the parent process corresponds to the target early warning configuration file, one sub-process corresponds to one splitting configuration file, a command line tool kubectl in a preset open source container cluster kubenates is called, and the splitting configuration files are imported into a preset distributed system based on the multi-process, wherein the distributed system can be a high-availability key value storage system ETCD.

Specifically, the server performs sub-file splitting on the target early warning configuration file according to a preset splitting strategy to obtain a plurality of splitting configuration files, and performs data reading on the plurality of splitting configuration files to obtain splitting configuration file data corresponding to each splitting configuration file; respectively writing split configuration file data corresponding to each split configuration file into a preset message queue to obtain a configuration message queue corresponding to each split configuration file; and storing the target early warning configuration file into a preset distributed system through the configuration message queue corresponding to each split configuration file.

The method comprises the steps that a server obtains the file size and the data quantity of a target early warning configuration file, a preset splitting strategy is searched through the file size and the data quantity to obtain target splitting information, the preset splitting strategy comprises the size and the quantity of splitting, the target early warning configuration file is split into a plurality of splitting configuration files with the quantity of sub-files in the target splitting information according to the sequence of the target early warning configuration file, and splitting configuration file data in each splitting configuration file are read. The server creates indexes among a plurality of split configuration files, creates sub-indexes of split configuration file data in each split configuration file based on the created indexes, sequentially writes the split configuration file data of the created sub-indexes into corresponding preset message queues according to the split configuration files, or randomly extracts split configuration file data corresponding to all the split configuration files and writes the split configuration file data into the preset message queues, so that a configuration message queue corresponding to each split configuration file is obtained, and the target early warning configuration file is stored into a preset distributed system through the configuration message queue corresponding to each split configuration file. By splitting the sub-files of the target early warning configuration file and storing the sub-files in a preset distributed system, the access efficiency and access safety of the target early warning configuration file are improved, decoupling of a processing system of initial early warning configuration data is realized, and therefore the processing reliability of the early warning configuration data is improved.

204. And reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data.

The execution of step 204 is similar to that of step 104, and will not be described again.

205. And acquiring initial monitoring data of a preset monitoring system, and comparing and analyzing the initial monitoring data through target early warning configuration data to generate early warning information so as to obtain target monitoring information.

Specifically, the server calls a preset interface to read initial monitoring data of a preset monitoring system, and carries out monitoring type classification on the initial monitoring data through a preset classification model to obtain monitoring types; matching early warning configuration data corresponding to the monitoring type from target early warning configuration data to obtain monitoring configuration data; and based on the preset neural network model and the monitoring configuration data, sequentially performing early warning feature extraction, early warning feature matching and early warning information template writing on the initial monitoring data to obtain target monitoring information.

The initial monitoring data comprises data obtained by data analysis on data in the target vertical field, and/or operation data of a processing system in the target vertical field, the data in the target vertical field can be medical data, the data obtained by data analysis on the medical data in the initial monitoring data can comprise prediction data and access analysis data of the medical data, the prediction data comprises, but is not limited to, prediction operation time, prediction accuracy, abnormal prediction results, model training data and the like, and the operation data of the processing system of the medical data comprises, but is not limited to, resource proportion, operation condition and the like. The method comprises the steps that a server calls a preset interface to read initial monitoring data monitored by a preset monitoring system, the initial monitoring data is subjected to monitoring type classification through a preset classification model to obtain classified label information, monitoring types in the classified label information are extracted to obtain monitoring types, fields of the monitoring types are obtained, target early warning configuration data are searched and matched through the fields of the monitoring types to obtain corresponding monitoring configuration data, the monitoring configuration data comprise early warning monitoring items and early warning conditions, a preset neural network model is called, the initial monitoring data are subjected to multi-level early warning feature extraction to obtain initial early warning features, the initial early warning features are matched with a preset early warning feature library to obtain corresponding candidate early warning features, the candidate early warning features are filtered based on configuration items of the monitoring configuration data to obtain target early warning features, the data format of the initial monitoring data corresponding to the target early warning features is converted into the data format of an early warning information template to obtain target data, the target data is written into the early warning information template to obtain initial monitoring information, and the initial monitoring information is detected to obtain the accuracy and completeness of the initial monitoring information.

The monitoring data is compared and analyzed through the target early warning configuration data, and early warning information is generated, so that universality of system processing corresponding to the target early warning configuration data, usability, processing flexibility and processing efficiency of the target early warning configuration data are improved, and processing automation of the target early warning configuration data is enhanced.

206. And acquiring evaluation information based on the target monitoring information and the target early warning configuration data, and optimizing the execution process of the target monitoring information and the target early warning configuration data according to the evaluation information and a preset optimization algorithm.

The server generates a target report according to the target monitoring information and the target early warning configuration data, and sends the target report to the preset evaluation terminal in sequence according to a hierarchy, the preset evaluation terminal of the next stage carries out auditing and modification on the evaluation result of the previous stage, so that final evaluation information is obtained, the evaluation information comprises abnormal conditions and processing time of the execution process corresponding to the target monitoring information and the target early warning configuration data, and satisfaction degree, accuracy and improvement strategy of the execution result of the target monitoring information and the target early warning configuration data, and the server optimizes the execution process of the target monitoring information and the target early warning configuration data and the adopted model according to the evaluation information and the preset optimization algorithm, so that the accuracy and the processing efficiency of the target monitoring information and the target early warning configuration data are improved, and the processing reliability of the early warning configuration data is improved.

According to the embodiment of the invention, the automatic processing of the initial early warning configuration data is realized, the management convenience, the access efficiency, the reading accuracy and the access safety of the initial early warning configuration data are improved, the decoupling of a processing system of the initial early warning configuration data is realized, the processing reliability of the early warning configuration data is improved, the monitoring data can be subjected to comparative analysis and early warning information generation through the target early warning configuration data, the universality of the system processing corresponding to the target early warning configuration data, the availability, the processing flexibility and the processing efficiency of the target early warning configuration data are improved, the processing automation of the target early warning configuration data is enhanced, the execution process of the target monitoring information and the target early warning configuration data is optimized according to the evaluation information and the preset optimization algorithm, and the accuracy and the processing efficiency of the target monitoring information and the target early warning configuration data are improved, so that the processing reliability of the early warning configuration data is improved. The scheme can be applied to the intelligent medical field, so that the construction of the intelligent city is promoted.

The foregoing describes a method for processing early warning configuration data in an embodiment of the present invention, and the following describes a device for processing early warning configuration data in an embodiment of the present invention, referring to fig. 3, one embodiment of the device for processing early warning configuration data in an embodiment of the present invention includes:

The splitting storage module 301 is configured to invoke a preset service interface, read initial early warning configuration data of a preset monitoring system, split and store the initial early warning configuration data into preset clusters, where the preset clusters are lightweight distributed high-availability system clusters;

the generating module 302 is configured to invoke a preset lightweight configuration management system, read initial early warning configuration data in a preset cluster, and generate a configuration file to obtain an initial early warning configuration file;

the detection module 303 is configured to detect the initial early warning configuration file, obtain a target early warning configuration file that meets a preset detection condition, and write the target early warning configuration file into a preset distributed system;

and the reading module 304 is configured to read the pre-warning configuration data of the target pre-warning configuration file in the distributed system through a preset system monitoring alarm frame, so as to obtain the target pre-warning configuration data.

The function implementation of each module in the early warning configuration data processing device corresponds to each step in the early warning configuration data processing method embodiment, and the function and implementation process are not described in detail here.

According to the embodiment of the invention, the automatic processing of the initial early warning configuration data is realized, the management convenience, the access efficiency, the reading accuracy and the access safety of the initial early warning configuration data are improved, and the decoupling of a processing system of the initial early warning configuration data is realized, so that the processing reliability of the early warning configuration data is improved. The scheme can be applied to the intelligent medical field, so that the construction of the intelligent city is promoted.

Referring to fig. 4, another embodiment of a processing device for early warning configuration data in an embodiment of the present invention includes:

the splitting storage module 301 is configured to invoke a preset service interface, read initial early warning configuration data of a preset monitoring system, split and store the initial early warning configuration data into preset clusters, where the preset clusters are lightweight distributed high-availability system clusters;

the generating module 302 is configured to invoke a preset lightweight configuration management system, read initial early warning configuration data in a preset cluster, and generate a configuration file to obtain an initial early warning configuration file;

the detection module 303 is configured to detect the initial early warning configuration file, obtain a target early warning configuration file that meets a preset detection condition, and write the target early warning configuration file into a preset distributed system;

the reading module 304 is configured to read the pre-warning configuration data of the target pre-warning configuration file in the distributed system through a preset system monitoring alarm frame, so as to obtain the target pre-warning configuration data;

the analysis module 305 is configured to obtain initial monitoring data of a preset monitoring system, compare and analyze the initial monitoring data through target early warning configuration data, and generate early warning information to obtain target monitoring information;

The optimizing module 306 is configured to obtain evaluation information based on the target monitoring information and the target early warning configuration data, and optimize the execution process of the target monitoring information and the target early warning configuration data according to the evaluation information and a preset optimizing algorithm.

Optionally, the split storage module 301 may be further specifically configured to:

when the updating of the object creation information in the preset monitoring system is monitored in real time through the preset monitoring pool, calling a preset service interface, and reading initial early warning configuration data corresponding to the object creation information in the preset monitoring system, wherein the object creation information comprises monitoring service configuration object information and early warning rule configuration object information;

sequentially carrying out row splitting and splitting result verification on the initial early warning configuration data to obtain splitting configuration data;

and creating key value pairs for splitting the configuration data, and storing the key value pairs into a preset cluster.

Optionally, the generating module 302 may be further specifically configured to:

when a preset lightweight configuration management system monitors the initial early warning configuration data stored in a preset cluster in real time, the initial early warning configuration data is read from the preset cluster;

acquiring an early warning configuration type of initial early warning configuration data, and carrying out format standardization processing on the initial early warning configuration data to obtain early warning configuration data to be processed;

And acquiring a configuration file to be written corresponding to the early warning configuration type, and writing the early warning configuration data to be processed into the configuration file to be written to obtain an initial early warning configuration file, wherein the format of the configuration file to be written is a system monitoring alarm frame format.

Optionally, the detection module 303 includes:

the detection unit 3031 is configured to detect the initial pre-warning configuration data in the initial pre-warning configuration file through preset detection conditions, so as to obtain a target pre-warning configuration file conforming to the preset detection conditions, where the preset detection conditions include a grammar detection rule, a format detection rule, a missing item detection rule and a security detection rule;

the loading unit 3032 is configured to split the target early warning configuration file into a plurality of split configuration files, and serially load the plurality of split configuration files into a preset distributed system.

Optionally, the loading unit 3032 may be further specifically configured to:

splitting the target early warning configuration file into a plurality of split configuration files according to a preset splitting strategy, and reading data of the split configuration files to obtain split configuration file data corresponding to each split configuration file;

Respectively writing split configuration file data corresponding to each split configuration file into a preset message queue to obtain a configuration message queue corresponding to each split configuration file;

and storing the target early warning configuration file into a preset distributed system through the configuration message queue corresponding to each split configuration file.

Optionally, the analysis module 305 may be further specifically configured to:

calling a preset interface to read initial monitoring data of a preset monitoring system, and classifying the monitoring type of the initial monitoring data through a preset classification model to obtain the monitoring type;

matching early warning configuration data corresponding to the monitoring type from target early warning configuration data to obtain monitoring configuration data;

and based on the preset neural network model and the monitoring configuration data, sequentially performing early warning feature extraction, early warning feature matching and early warning information template writing on the initial monitoring data to obtain target monitoring information.

The function implementation of each module and each unit in the processing device of the early warning configuration data corresponds to each step in the processing method embodiment of the early warning configuration data, and the function and the implementation process of the module and the unit are not described in detail herein.

According to the embodiment of the invention, the automatic processing of the initial early warning configuration data is realized, the management convenience, the access efficiency, the reading accuracy and the access safety of the initial early warning configuration data are improved, the decoupling of a processing system of the initial early warning configuration data is realized, the processing reliability of the early warning configuration data is improved, the monitoring data can be subjected to comparative analysis and early warning information generation through the target early warning configuration data, the universality of the system processing corresponding to the target early warning configuration data, the availability, the processing flexibility and the processing efficiency of the target early warning configuration data are improved, the processing automation of the target early warning configuration data is enhanced, the execution process of the target monitoring information and the target early warning configuration data is optimized according to the evaluation information and the preset optimization algorithm, and the accuracy and the processing efficiency of the target monitoring information and the target early warning configuration data are improved, so that the processing reliability of the early warning configuration data is improved. The scheme can be applied to the intelligent medical field, so that the construction of the intelligent city is promoted.

The processing device for early warning configuration data in the embodiment of the present invention is described in detail above in fig. 3 and fig. 4 from the point of view of modularized functional entities, and the processing device for early warning configuration data in the embodiment of the present invention is described in detail below from the point of view of hardware processing.

Fig. 5 is a schematic structural diagram of a processing device for early warning configuration data according to an embodiment of the present invention, where the processing device 500 for early warning configuration data may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) storing application programs 533 or data 532. Wherein memory 520 and storage medium 530 may be transitory or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a series of instruction operations in the processing device 500 for pre-alarm configuration data. Still further, the processor 510 may be arranged to communicate with the storage medium 530 and to execute a series of instruction operations in the storage medium 530 on the processing device 500 of the pre-alarm configuration data.

The processing device 500 for early warning configuration data may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input/output interfaces 560, and/or one or more operating systems 531, such as Windows Serve, mac OS X, unix, linux, freeBSD, etc. It will be appreciated by those skilled in the art that the processing device structure of the early warning configuration data shown in fig. 5 does not constitute a limitation of the processing device of the early warning configuration data, and may include more or less components than illustrated, or may combine certain components, or may be arranged in different components.

The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and may also be a volatile computer readable storage medium, where instructions are stored, which when executed on a computer, cause the computer to perform the steps of the method for processing early warning configuration data.

Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created from the use of blockchain nodes, and the like.

The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. The processing method of the early warning configuration data is characterized by comprising the following steps of:

calling a preset service interface, reading initial early warning configuration data of a preset monitoring system, and splitting and storing the initial early warning configuration data into preset clusters, wherein the preset clusters are lightweight distributed high-availability system clusters;

the calling the preset service interface, reading the initial early warning configuration data of the preset monitoring system, and splitting and storing the initial early warning configuration data to a preset cluster, comprising the following steps:

when the updating of the object creation information in the preset monitoring system is monitored to be completed in real time through a preset monitoring pool, a preset service interface is called, initial early warning configuration data corresponding to the object creation information in the preset monitoring system is read, and the object creation information comprises monitoring service configuration object information and early warning rule configuration object information;

Sequentially carrying out row splitting and splitting result verification on the initial early warning configuration data to obtain splitting configuration data;

creating a key value pair of the split configuration data, and storing the key value pair into a preset cluster;

calling a preset lightweight configuration management system, and reading initial early warning configuration data in the preset cluster and generating a configuration file to obtain an initial early warning configuration file;

detecting the initial early warning configuration file to obtain a target early warning configuration file which accords with preset detection conditions, and writing the target early warning configuration file into a preset distributed system;

and reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data.

2. The method for processing early warning configuration data according to claim 1, wherein the calling a preset lightweight configuration management system to read and generate configuration files for initial early warning configuration data in the preset cluster to obtain initial early warning configuration files includes:

when a preset lightweight configuration management system monitors that the preset cluster stores the initial early warning configuration data in real time, the initial early warning configuration data is read from the preset cluster;

Acquiring an early warning configuration type of the initial early warning configuration data, and carrying out format standardization processing on the initial early warning configuration data to obtain early warning configuration data to be processed;

and acquiring a configuration file to be written corresponding to the early warning configuration type, and writing the early warning configuration data to be processed into the configuration file to be written to obtain an initial early warning configuration file, wherein the format of the configuration file to be written is a system monitoring alarm frame format.

3. The method for processing early warning configuration data according to claim 1, wherein the detecting the initial early warning configuration file to obtain a target early warning configuration file meeting a preset detection condition, and writing the target early warning configuration file into a preset distributed system, includes:

detecting initial early warning configuration data in the initial early warning configuration file through preset detection conditions to obtain a target early warning configuration file conforming to the preset detection conditions, wherein the preset detection conditions comprise grammar detection rules, format detection rules, missing item detection rules and safety detection rules;

and splitting the target early warning configuration file into a plurality of split configuration files, and loading the plurality of split configuration files into a preset distributed system in series.

4. The method for processing early warning configuration data according to claim 3, wherein the sub-file splitting of the target early warning configuration file is performed to obtain a plurality of split configuration files, and the plurality of split configuration files are serially loaded to a preset distributed system, and the method comprises:

splitting the target early warning configuration file into a plurality of split configuration files according to a preset splitting strategy, and reading data of the split configuration files to obtain split configuration file data corresponding to each split configuration file;

the split configuration file data corresponding to each split configuration file are respectively written into a preset message queue to obtain a configuration message queue corresponding to each split configuration file;

and storing the target early warning configuration file to a preset distributed system through the configuration message queue corresponding to each split configuration file.

5. The method for processing early warning configuration data according to any one of claims 1 to 4, wherein the method further comprises, after reading the early warning configuration data of the target early warning configuration file in the distributed system by a preset system monitoring alarm frame to obtain the target early warning configuration data:

Acquiring initial monitoring data of the preset monitoring system, and comparing and analyzing the initial monitoring data through the target early warning configuration data to generate early warning information so as to obtain target monitoring information;

and acquiring evaluation information based on the target monitoring information and the target early warning configuration data, and optimizing the execution process of the target monitoring information and the target early warning configuration data according to the evaluation information and a preset optimization algorithm.

6. The method for processing early warning configuration data according to claim 5, wherein the obtaining the initial monitoring data of the preset monitoring system, performing a comparative analysis on the initial monitoring data and generating early warning information by the target early warning configuration data, and obtaining target monitoring information includes:

calling a preset interface to read initial monitoring data of the preset monitoring system, and classifying the monitoring type of the initial monitoring data through a preset classification model to obtain a monitoring type;

matching early warning configuration data corresponding to the monitoring type from the target early warning configuration data to obtain monitoring configuration data;

and based on a preset neural network model and the monitoring configuration data, sequentially performing early warning feature extraction, early warning feature matching and early warning information template writing on the initial monitoring data to obtain target monitoring information.

7. The apparatus for processing early warning configuration data, for executing the method for processing early warning configuration data according to claim 1, characterized in that the apparatus for processing early warning configuration data comprises:

the split storage module is used for calling a preset service interface, reading initial early warning configuration data of a preset monitoring system, and splitting and storing the initial early warning configuration data into preset clusters, wherein the preset clusters are lightweight distributed high-availability system clusters;

the generating module is used for calling a preset lightweight configuration management system, reading initial early warning configuration data in the preset cluster and generating a configuration file to obtain an initial early warning configuration file;

the detection module is used for detecting the initial early warning configuration file to obtain a target early warning configuration file which accords with preset detection conditions, and writing the target early warning configuration file into a preset distributed system;

and the reading module is used for reading the early warning configuration data of the target early warning configuration file in the distributed system through a preset system monitoring alarm frame to obtain the target early warning configuration data.

8. The processing device of the early warning configuration data is characterized in that the processing device of the early warning configuration data comprises: a memory and at least one processor, the memory having instructions stored therein;

The at least one processor invokes the instructions in the memory to cause the processing device of the early warning configuration data to perform the method of processing early warning configuration data as claimed in any one of claims 1 to 6.

9. A computer readable storage medium having instructions stored thereon, which when executed by a processor, implement a method of processing pre-alarm configuration data according to any of claims 1-6.