CN109194755B - MQ-based mobile device data processing method and system - Google Patents
MQ-based mobile device data processing method and system Download PDFInfo
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- CN109194755B CN109194755B CN201811060067.9A CN201811060067A CN109194755B CN 109194755 B CN109194755 B CN 109194755B CN 201811060067 A CN201811060067 A CN 201811060067A CN 109194755 B CN109194755 B CN 109194755B
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- 238000003672 processing method Methods 0.000 title abstract description 11
- 238000012544 monitoring process Methods 0.000 claims abstract description 95
- 238000003908 quality control method Methods 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 21
- 239000000284 extract Substances 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims description 26
- 230000015654 memory Effects 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims 5
- 239000003344 environmental pollutant Substances 0.000 description 6
- 231100000719 pollutant Toxicity 0.000 description 6
- 238000004891 communication Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003915 air pollution Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/565—Conversion or adaptation of application format or content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
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Abstract
The application relates to a mobile equipment data processing method and system based on MQ, comprising the following steps: the mobile devices collect atmospheric environment monitoring data and send the atmospheric environment monitoring data to a first message queue MQ server; the first MQ server sends the atmospheric environment monitoring data to the second MQ server, and the second MQ server converts the atmospheric environment monitoring data to obtain an atmospheric environment monitoring data JSON string; transmitting the atmospheric environment monitoring data JSON character string to a Redis cluster for storage; the quality control server acquires the atmospheric environment monitoring data JSON character string from the second MQ server to perform decompilation processing and extract object data; comparing the object data with standard environment data to obtain a comparison result, and storing the comparison result into a Redis cluster; when the comparison result fails to be stored in the Redis cluster, generating a CSV file from the comparison result and storing the CSV file to a local place; and the backup server inquires whether the CSV file exists according to a preset period, if so, reads the CSV file, executes the SQL statement in the CSV file and stores the SQL statement in the Redis cluster.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a mobile device data processing method and system based on MQ.
Background
Message Queue (MQ) is a Message middleware that IBM corporation has pushed in the 80 s of the 20 th century for reliable data transfer between any two distributed processes. The MQ supports asynchronous data transport and supports a variety of underlying communication protocols, such as TCP/IP. MQ has a number of significant advantages, enabling cross-platform communications using the same application program interface on different platforms, independent of time for message creation and transmission, and increased processing flexibility.
In many important environments, reliable file data exchange is required, and the reliability and the safety are not fully ensured by adopting traditional communication means (such as HTTP, FTP, E-Mail and the like).
In addition, in the prior art, the original data receiving link and the quality control algorithm link of the mobile device are not separated, so that the data acquisition of the actual application end is slower.
Disclosure of Invention
The application aims at overcoming the defects in the prior art and provides a mobile equipment data processing method and system based on MQ.
To achieve the above object, in a first aspect, the present application provides a mobile device data processing method based on MQ, including:
the method comprises the steps that a plurality of mobile devices collect atmospheric environment monitoring data and send the atmospheric environment monitoring data to a first message queue MQ server;
the first MQ server sends the atmospheric environment monitoring data to a second MQ server, and the second MQ server converts the atmospheric environment monitoring data to obtain an atmospheric environment monitoring data JSON string;
the second MQ server sends the atmospheric environment monitoring data JSON character string to a Redis cluster, and the Redis cluster stores the atmospheric environment monitoring data JSON character string;
the quality control server acquires the atmospheric environment monitoring data JSON character string from the second MQ server, decompiles the atmospheric environment monitoring data JSON character string, and extracts object data;
comparing the object data with standard environment data to obtain a comparison result, and storing the comparison result into the Redis cluster;
when the comparison result fails to be stored in the Redis cluster, generating a CSV file from the comparison result with the storage failure and storing the CSV file to a local place;
and the backup server inquires whether a CSV file exists according to a preset period, if so, reads the CSV file, executes an SQL statement in the CSV file, and stores an execution result to the Redis cluster.
Further, before the plurality of mobile devices collect the atmospheric environment monitoring data and send the atmospheric environment monitoring data to the first MQ server of the message queue, the method further includes:
the mobile equipment sends first registration request information to the first MQ server;
the first MQ server stores the first registration request information into a first registration information database and sends first registration success notification information to the mobile device.
Further, before the first MQ server transmits the atmospheric environment monitoring data to a second MQ server, the method may further comprise:
the second MQ server sends second registration request information to the first MQ server;
the first MQ server stores the second registration request information into a registration information database and sends second registration success notification information to the mobile device.
Further, after the comparing the object data with the standard environment data to obtain a comparison result, the method further includes:
and the quality control server marks the atmospheric environment monitoring data JSON character string corresponding to the comparison result.
Further, the storing, by the dis cluster, the atmospheric environment monitoring data JSON string specifically includes:
and the plurality of Redis memories in the Redis cluster synchronously store the atmospheric environment monitoring data JSON character strings.
Further, the converting the atmospheric environment monitoring data by the second MQ server to obtain the atmospheric environment monitoring data JSON string specifically includes:
the second MQ server converts the atmospheric environment monitoring data from binary data to JSON strings.
Further, before the first MQ server transmits the atmospheric environment monitoring data to a second MQ server, the method may further comprise:
the second MQ server sends a first data acquisition request to the first MQ server, wherein the first data acquisition request contains data subject information;
and the first MQ server calls corresponding atmospheric environment monitoring data according to the data subject information.
Further, decompiling the atmospheric environment monitoring data JSON string, and extracting object data specifically further includes:
the quality control server decompiles the atmospheric environment monitoring data JSON character string to obtain atmospheric environment monitoring entity data;
and extracting the object data from the atmospheric environment monitoring entity data according to preset extraction conditions.
In a second aspect, the present application provides a mobile device data processing system based on MQ, which includes a mobile device, a first MQ server, a second MQ server, a dis cluster, a quality control server and a backup server.
According to the MQ-based mobile device data processing method and system, a plurality of mobile devices acquire atmospheric environment monitoring data, a first MQ server performs data caching, a second MQ server performs data processing and then stores the data in a Redis cluster, a quality control server acquires data from the Redis cluster and performs quality control operation, the data are stored in the Redis cluster, when storage fails, the data which are failed to be stored are generated into a CSV file and stored in the local, a backup server inquires whether the CSV file exists locally according to a preset period, if so, the CSV file is read, SQL sentences in the CSV file are executed, and an execution result is stored in the Redis cluster. According to the method and the system provided by the application, the atmospheric environment monitoring data are cached in the first MQ server, and the second MQ server is used for processing, so that the flexibility and the safety of data processing are improved; the data receiving link and the quality control algorithm link are separated, so that the data acquisition speed is improved.
Drawings
FIG. 1 is a flow chart of a data processing method of a MQ-based mobile device according to a first embodiment of the application;
fig. 2 is a schematic diagram of a data processing system of a mobile device based on MQ according to a second embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Fig. 1 is a flow chart of a data processing method of a mobile device based on MQ according to an embodiment of the present application. As shown in fig. 1, the method specifically comprises the following steps:
step 101, a plurality of mobile devices collect atmospheric environment monitoring data and send the atmospheric environment monitoring data to a first MQ server of a message queue;
the mobile equipment is movable atmospheric environment data acquisition equipment, a plurality of mobile equipment are arranged at different monitoring points in the pollution monitoring area, and the atmospheric environment monitoring data are acquired in a mobile mode and sent to the first MQ server for caching.
Before a plurality of mobile devices collect atmospheric environment monitoring data and send the atmospheric environment monitoring data to a first MQ server of a message queue, all the mobile devices need to register with the first MQ server, and the mobile devices send first registration request information to the first MQ server; the first MQ server stores the first registration request information in a first registration information database and transmits first registration success notification information to the mobile device. After the registration is successful, the mobile device can perform data interaction with the first MQ server.
Step 102, the first MQ server sends the atmospheric environment monitoring data to the second MQ server, and the second MQ server converts the atmospheric environment monitoring data to obtain a numbered musical notation (JavaScript Object Notation, JSON) character string of the JS object of the atmospheric environment monitoring data;
the second MQ server sends a first data acquisition request to the first MQ server, wherein the first data acquisition request contains data subject information; and the first MQ server calls corresponding atmospheric environment monitoring data according to the data topic information and sends the data to the second MQ server.
The second MQ server converts the atmospheric environment monitoring data sent by the first MQ server from binary data into JSON character strings, so that the purpose is to facilitate machine analysis and generation and effectively improve network transmission efficiency.
Before the first MQ server sends the atmospheric environment monitoring data to the second MQ server, the second MQ server needs to register with the first MQ server, and the second MQ server sends second registration request information to the first MQ server; the first MQ server stores the second registration request information in a registration information database and transmits second registration success notification information to the mobile device. After successful registration, the second MQ server can perform data interaction with the first MQ server.
Step 103, the second MQ server sends the atmospheric environment monitoring data JSON character string to a Redis cluster, and the Redis cluster stores the atmospheric environment monitoring data JSON character string;
specifically, the second MQ server sends the processed atmospheric environment monitoring data JSON string to the Redis cluster for storage, the Redis cluster comprises a plurality of Redis memories, all the Redis memories synchronously store the atmospheric environment monitoring data JSON string through a synchronization strategy, and the purpose of distributed synchronous storage is to avoid data loss.
104, the quality control server acquires an atmospheric environment monitoring data JSON character string from the second MQ server, decompiles the atmospheric environment monitoring data JSON character string, and extracts object data;
specifically, the quality control server decompiles the atmospheric environment monitoring data JSON character string to obtain atmospheric environment monitoring entity data; and extracting object data from the atmospheric environment monitoring entity data according to preset extraction conditions. Wherein the object data is pollutants in the atmosphere, including PM2.5, PM10, CO and O 3 And the like, which can cause air pollution. The extraction conditions are according to the pair to be extractedThe image data is set.
Step 105, comparing the object data with the standard environment data to obtain a comparison result, and storing the comparison result into a Redis cluster;
the quality control server compares the pollutant concentration data with the pollutant emission standards, and the standard environment data is set according to the pollutant emission standard data specified by the country. Comparing the pollutant data in the collected atmospheric environment monitoring data with the national standard, determining whether the pollutant emission exceeds the standard according to the comparison result, and storing the obtained comparison result into a Redis cluster.
And after comparing the object data with the standard environment data to obtain a comparison result, the quality control server marks the atmospheric environment monitoring data JSON character string corresponding to the comparison result. And marking the original atmospheric environment monitoring data which has generated the comparison result after the comparison processing, so as to avoid repeated processing.
Step 106, when the comparison result fails to be stored in the Redis cluster, generating Comma Separated Values (CSV) files from the comparison result of the storage failure and storing the Comma Separated Values to the local;
when network interruption or delay occurs, the comparison result processed by the quality control server is not successfully stored in the database of the Redis cluster, and the data are generated into CSV files to be stored locally and then processed by the backup server.
And step 107, the backup server inquires whether the CSV file exists according to a preset period, if so, reads the CSV file, executes the SQL sentence in the CSV file, and stores the execution result to the Redis cluster.
The backup server periodically inquires whether the CSV file exists, if so, the backup server indicates that the data which is not successfully written into the database of the Redis cluster exists, reads the CSV file through a program, executes SQL sentences in the CSV file, and obtains an execution result to be stored into the database of the Redis cluster, thereby avoiding data loss and ensuring that all comparison results are stored into the database of the Redis cluster. And after the execution is finished, clearing the CSV file stored before.
According to the MQ-based mobile device data processing method, a plurality of mobile devices acquire atmospheric environment monitoring data, a first MQ server performs data caching, a second MQ server performs data processing and then stores the data into a Redis cluster, a quality control server acquires data from the Redis cluster and performs quality control operation, the data is then stored into the Redis cluster, when storage fails, the data which is failed to be stored is generated into a CSV file and stored locally, a backup server inquires whether the CSV file exists locally according to a preset period, if so, the CSV file is read, SQL sentences in the CSV file are executed, and an execution result is stored into the Redis cluster. According to the method and the system provided by the application, the atmospheric environment monitoring data are cached in the first MQ server, and the second MQ server is used for processing, so that the flexibility and the safety of data processing are improved; the data receiving link and the quality control algorithm link are separated, so that the data acquisition speed is improved.
Fig. 2 is a schematic diagram of a data processing system of a mobile device based on MQ according to a second embodiment of the present application. As shown in fig. 2, the system includes: a plurality of mobile devices 1 (mobile device 11, mobile devices 12, … mobile device 1 n), a first MQ server 2, a second MQ server 3, a dis cluster 4 (dis memory 41, dis memory 42, … dis memory 4 n), a quality control server 5 and a backup server 6.
The mobile devices 1 collect atmospheric environment monitoring data and send the atmospheric environment monitoring data to a first message queue MQ server; the first MQ server 2 sends the atmospheric environment monitoring data to the second MQ server 3, and the second MQ server 3 converts the atmospheric environment monitoring data to obtain an atmospheric environment monitoring data JSON string; the second MQ server 3 sends the atmospheric environment monitoring data JSON character string to the Redis cluster 4, and the Redis cluster 4 stores the atmospheric environment monitoring data JSON character string; the quality control server 5 acquires an atmospheric environment monitoring data JSON character string from the second MQ server 3, decompiles the atmospheric environment monitoring data JSON character string, and extracts object data; comparing the object data with standard environment data to obtain a comparison result, and storing the comparison result into a Redis cluster 4; when the comparison result fails to be stored in the Redis cluster 4, generating a CSV file from the comparison result which fails to be stored and storing the CSV file to the local; the backup server 6 inquires whether the CSV file exists according to a preset period, if so, reads the CSV file, executes SQL sentences in the CSV file, and stores the execution result to the Redis cluster 4.
The specific working process of the MQ-based mobile device data processing system provided in the second embodiment of the present application corresponds to the MQ-based mobile device data processing method provided in the first embodiment, and is not described herein again.
According to the MQ-based mobile device data processing system provided by the application, a plurality of mobile devices acquire atmospheric environment monitoring data, a first MQ server performs data caching, a second MQ server performs data processing and then stores the data into a Redis cluster, a quality control server acquires data from the Redis cluster and performs quality control operation, the data is then stored into the Redis cluster, when storage fails, the data which fails to be stored is generated into a CSV file and stored locally, a backup server inquires whether the CSV file exists locally according to a preset period, if so, the CSV file is read, SQL sentences in the CSV file are executed, and an execution result is stored into the Redis cluster. According to the method and the system provided by the application, the atmospheric environment monitoring data are cached in the first MQ server, and the second MQ server is used for processing, so that the flexibility and the safety of data processing are improved; the data receiving link and the quality control algorithm link are separated, so that the data acquisition speed is improved.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of function in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the application, and is not meant to limit the scope of the application, but to limit the application to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (9)
1. A method for processing data of a mobile device based on MQ, the method comprising:
the method comprises the steps that a plurality of mobile devices collect atmospheric environment monitoring data and send the atmospheric environment monitoring data to a first message queue MQ server;
the first MQ server sends the atmospheric environment monitoring data to a second MQ server, and the second MQ server converts the atmospheric environment monitoring data to obtain an atmospheric environment monitoring data JSON string;
the second MQ server sends the atmospheric environment monitoring data JSON character string to a Redis cluster, and the Redis cluster stores the atmospheric environment monitoring data JSON character string;
the quality control server acquires the atmospheric environment monitoring data JSON character string from the second MQ server, decompiles the atmospheric environment monitoring data JSON character string, and extracts object data;
comparing the object data with standard environment data to obtain a comparison result, and storing the comparison result into the Redis cluster;
when the comparison result fails to be stored in the Redis cluster, generating a CSV file from the comparison result with the storage failure and storing the CSV file to a local place;
and the backup server inquires whether a CSV file exists according to a preset period, if so, reads the CSV file, executes an SQL statement in the CSV file, and stores an execution result into the Redis cluster.
2. The method of claim 1, wherein prior to the plurality of mobile devices gathering the atmospheric environmental monitoring data and transmitting the atmospheric environmental monitoring data to the message queue first MQ server, the method further comprises:
the mobile equipment sends first registration request information to the first MQ server;
the first MQ server stores the first registration request information into a first registration information database and sends first registration success notification information to the mobile device.
3. The method as in claim 1, wherein prior to the first MQ server transmitting the atmospheric environmental monitoring data to a second MQ server, the method further comprises:
the second MQ server sends second registration request information to the first MQ server;
the first MQ server stores the second registration request information into a registration information database and sends second registration success notification information to the mobile device.
4. The method of claim 1, wherein after comparing the object data with standard environmental data to obtain a comparison result, the method further comprises:
and the quality control server marks the atmospheric environment monitoring data JSON character string corresponding to the comparison result.
5. The method according to claim 1, wherein storing the atmospheric environment monitoring data JSON string by the Redis cluster specifically comprises:
and the plurality of Redis memories in the Redis cluster synchronously store the atmospheric environment monitoring data JSON character strings.
6. The method according to claim 1, wherein the converting the atmospheric environment monitoring data by the second MQ server to obtain the atmospheric environment monitoring data JSON string specifically includes:
the second MQ server converts the atmospheric environment monitoring data from binary data to JSON strings.
7. The method as in claim 1, wherein prior to the first MQ server transmitting the atmospheric environmental monitoring data to a second MQ server, the method further comprises:
the second MQ server sends a first data acquisition request to the first MQ server, wherein the first data acquisition request contains data subject information;
and the first MQ server calls corresponding atmospheric environment monitoring data according to the data subject information.
8. The method according to claim 1, wherein decompiling the atmospheric environment monitoring data JSON string, and extracting object data specifically further comprises:
the quality control server decompiles the atmospheric environment monitoring data JSON character string to obtain atmospheric environment monitoring entity data;
and extracting the object data from the atmospheric environment monitoring entity data according to preset extraction conditions.
9. A MQ-based mobile device data processing system, comprising a mobile device according to any of claims 1-8, a first MQ server, a second MQ server, a dis cluster, a quality control server and a backup server.
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| CN109992582A (en) * | 2019-02-19 | 2019-07-09 | 深圳点猫科技有限公司 | A kind of ephemeral data processing method and electronic equipment based on graphical programming |
| CN114385603A (en) * | 2020-10-19 | 2022-04-22 | 长鑫存储技术有限公司 | Environmental data monitoring method and monitoring system |
| CN115599869B (en) * | 2022-12-14 | 2023-03-14 | 联仁健康医疗大数据科技股份有限公司 | Data acquisition method and device, electronic equipment and storage medium |
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| CN103024014A (en) * | 2012-12-03 | 2013-04-03 | 北京京东世纪贸易有限公司 | Method and system for distributing and processing mass data passing through message queues |
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