CN112527854A - Cloud computing system based on big data of Internet of things - Google Patents
Cloud computing system based on big data of Internet of things Download PDFInfo
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- CN112527854A CN112527854A CN201910880833.4A CN201910880833A CN112527854A CN 112527854 A CN112527854 A CN 112527854A CN 201910880833 A CN201910880833 A CN 201910880833A CN 112527854 A CN112527854 A CN 112527854A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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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
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The embodiment of the application discloses a cloud computing system based on Internet of things big data, which comprises an Internet of things cloud platform, a real-time transmission module, an Internet of things IOT platform, an equipment big data fault and early warning module, an asset visualization module, an asset maintenance management module, a mobile monitoring module, a mobile asset maintenance module, a data processing module and a data acquisition box; the real-time transmission module, the IOT platform, the equipment big data fault and early warning module, the asset visualization module, the asset maintenance management module, the mobile monitoring module and the mobile asset maintenance module are connected to the IOT platform in parallel, the IOT cloud platform is provided with a data processing module, the collected data are calculated, and the data are collected by the data collection box.
Description
Technical Field
The invention relates to the field of Internet of things cloud platforms, in particular to a cloud computing system based on Internet of things big data.
Background
The cloud platform adopts the technologies of Internet of things, information network and cloud computing, carries out application including big data analysis and intelligent display on front-end collected data, reserves a data calling interface for other systems, builds a cloud platform with high capacity, high maintainability, high cost performance and high fault tolerance, and supports storage and processing of mass information.
The Runton cloud smart platform can be used for collecting and counting various service data, analyzing big data and intelligently displaying the various service data. Monitoring data, enterprise information, emergency command control and the like can be checked through terminals such as a computer, a smart phone and a tablet device.
The existing Internet of things platform technology is mainly used for data acquisition, simple data viewing and historical query, large data are not processed and analyzed, too much ductility is not generated, and deep excavation is not performed on hardware equipment such as sensors and transmission at the bottom layer.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a cloud computing system based on big data of the Internet of things, which is characterized by comprising an Internet of things cloud platform, a real-time transmission module, an Internet of things IOT platform, an equipment big data fault and early warning module, an asset visualization module, an asset maintenance management module, a mobile monitoring module, a mobile asset maintenance module, a data processing module and a data acquisition box, wherein the real-time transmission module is used for transmitting the IOT platform to the equipment big data fault and early warning module; the real-time transmission module, the IOT platform, the equipment big data fault and early warning module, the asset visualization module, the asset maintenance management module, the mobile monitoring module and the mobile asset maintenance module are connected to the IOT platform in parallel, the IOT cloud platform is provided with a data processing module, the data collected by the data collection box are calculated, and the data are collected by the data collection box.
Further, when the data processing module performs calculation, the method includes the following steps:
the method comprises the following steps: the client private custom protocol is transmitted to the data frame processing module through the communication driving module; the information processed by the data frame processing module is transmitted to a database;
step two: the MQTT gateway 1, the MQTT gateway 2 and the MQTT gateway n send the collected data to an MQTT front-end service module, and the MQTT front-end service module transmits the processed data to a database;
step three: the database distributes the data to the data synthesis module, and the data synthesis module processes the data and sends the processed data to the equipment early warning module;
step four: the device early warning module sends the processed data to the Internet of things platform, and the Internet of things platform is connected with the Internet of things APP at the same time.
Furthermore, the MQTT front-end service module is also connected with a project management module.
Furthermore, the database is connected with the Internet of things platform through a control scheduling module.
The real-time monitoring Internet of things cloud platform comprises a distributed equipment data processing center and an equipment data application cloud service platform. The method mainly realizes data protocol analysis, big data analysis and data application development and realization of various industrial equipment with complex protocols distributed all over the world.
Distributed device data processing center: and data aggregation, data analysis, processing and storage and service distribution are supported. The method supports various encryption and data distribution, large-scale equipment access, mining analysis of various relational and non-relational data and secondary application of various data.
The equipment data application cloud service platform builds a set of comprehensive WEB application platform integrating equipment management, gateway management, variable management, alarm management, operation and maintenance management, geographic information management, life cycle management and data analysis for the client in a WEB cloud platform mode, and accordingly a set of professional distributed equipment remote operation management platform and a distributed equipment service operation platform are created for the client.
The main product form is as follows: the internet of things WEB equipment cloud platform and the mobile phone APP platform are free of programming and software installation, professional skills are not needed, connection and communication between field equipment and a system can be rapidly and conveniently achieved, and a special internet of things application cloud platform is created for you. The remote data monitoring, remote operation and maintenance, remote management and other works of the equipment can be realized through WEB, APP and application software at any time and any place.
The method is characterized by applying a cloud computing technology, creating an application mode, constructing a data center of a virtualized computing environment on the basis of a data bearing integration platform and a content management platform, integrating and flexibly scheduling resources, improving application supporting capacity, realizing unified management, solving unified storage and consistency management of data, completing a supporting system of software and hardware operating environments, and constructing a green, efficient and stable Internet of things monitoring cloud platform.
The service architecture of the Internet of things cloud platform is divided into four parts, namely a service portal layer, a general application system, a data receiving and processing module and a project management platform.
(1) And (4) a service portal layer:
the method is mainly used for displaying contents required by a user in a friendly mode, packaging functions into services by adopting SOA (service oriented architecture) thought design, and facilitating reuse, expansion and maintenance of the system.
The system platform is constructed on a cloud service platform, and provides data presentation service, report statistics service, early warning and alarm handling service, space display service, system management service, equipment management service, project management service and the like on a real-time monitoring Internet of things platform for enterprises.
From the perspective of software structure, the system platform can be divided into a data layer, a basic service layer, a business application layer and a system interface service API according to the structure.
The data layer is a data support of the service platform, and provides data support for the platform in a Mysql mode.
The basic service layer is a basic component service layer of the platform and provides basic service components for the business application layer, wherein the basic service components comprise data access, safety management and log components.
The business application layer mainly provides various business function services of the platform.
(2) General application system
1. General application: the Internet of things cloud general application is mainly used for providing a foreground for Internet of things monitoring application and providing functions of data presentation, report statistics, early warning and alarm handling, space display, system management and the like for users.
2. And (3) general application management: the cloud general application management of the Internet of things is mainly used for providing the setting of presentation modes such as equipment management, GIS, data, statistical charts and the like for user managers in the foreground.
The space display of the equipment adopts public map resources such as google, Baidu and sky maps, the space distribution of various equipment is displayed on the map in a graph mode, and the space distribution supports point aggregation display (namely, the equipment is aggregated and displayed under the condition that the point distribution of a certain area is concentrated, and the point number of the area is displayed). A list of devices is provided (by default ordered by device name) on the right side of the map, with the basic device status, name and number shown in the device list. The lower side of the map is the alarm information of the equipment, and the alarm information needs to be processed manually.
All the equipment information and the alarm information are set according to the authority of the login personnel, namely the range of the equipment which can be seen by the login personnel, and the equipment which is not the equipment to which the personnel belongs, is not allowed to be seen.
Device information management supports online addition, deletion, and modification of device information. The method mainly comprises gateway information configuration, equipment information, configuration and variable information configuration and typical model management.
The equipment work order management mainly comprises equipment basic information import, wherein the equipment basic information mainly comprises an equipment name, an equipment code, a manufacturer and other basic information of equipment; the work order of the equipment can be directly imported in an EXCEL form, and the addition, deletion, modification, query and equipment work order export of online equipment information are supported.
Based on the full life cycle archive information of the equipment, the data such as the operation parameters, the environmental information and the like of the equipment are emphatically acquired, and the equipment is automatically reminded to replace spare parts when the equipment runs beyond the life cycle.
Collecting operation parameters of the management equipment in real time, wherein the operation parameters comprise temperature, voltage and the like; the running state of each flow device and the change of parameters are monitored in real time through an application system, a PC, an APP and a large screen; and realizing fault alarm. The online rate of the equipment can be displayed and counted in real time, the running details of the equipment can be checked, historical data can be inquired, various important indexes and parameters of the equipment can be monitored in real time, and the monitoring data comprise: status class data, event class data, fault class data, alarm class data, and the like.
According to the upper number of the equipment per day, if no data comes on the day according to the collection time interval, the equipment is considered to be in failure.
Through the application system, real-time operation data, fault information and the like of all equipment can be known on a PC, an APP or a large screen in real time. The online rate of the equipment can be displayed and counted in real time, the running details of the equipment can be checked, historical data can be inquired, various important indexes and parameters of the equipment can be monitored in real time, and the monitoring data comprise: status class data, event class data, fault class data, alarm class data, and the like.
And (3) displaying an operation channel chart of the equipment by adopting a graph (for example, the motors 2018-02-0100: 00-2018-02-0223: 00 are in an operation state).
And when the threshold value is exceeded, the alarm is automatically given out, meanwhile, the fault alarm can be automatically triggered, and the alarm can be appointed to be sent to corresponding personnel for viewing at a WEB end. The trigger is added with a simple function of comparing the data size, and does not carry out complex formula calculation.
Fault alarms are mainly classified into the following two categories;
1. and (3) real-time fault warning: reporting fault information collected by a control system in real time;
2. fault early warning: when the equipment operation parameter exceeds a preset data threshold value, an early warning prompt is generated, for example, a main parameter abnormity prompt, a use period over-limit prompt and the like.
All the equipment can be comprehensively managed through the system, and online supervision, geographic distribution statistics, fault statistics and the like of the equipment can be achieved. Operation records of field parameter setting, startup and shutdown and the like of the equipment can also be displayed in the platform.
And (3) standing account management: device type, device subclass name, model, instruction manual, etc.;
and (3) real-time monitoring: equipment operation parameters and instrument monitoring parameters;
history data: all historical data of equipment operation;
(3) data receiving and processing module
The Internet of things cloud general application management is mainly used for receiving and processing related data information of terminal equipment connected with the MQTT gateway. Is also the most central part of the platform.
The system is convenient to increase the support to a large amount of various heterogeneous protocol devices accessed by a multi-MQTT gateway on the basis of the original data receiving and processing by developing, deploying and setting the MQTT preposition service.
The uplink data receiving comprises: and connecting the MQTT gateway, acquiring equipment data from the MQTT gateway, analyzing and warehousing the equipment data, and meanwhile, performing formula calculation and early warning on the data.
And the downlink equipment controls: realizing reverse control of platform to equipment, receiving and collecting system providing command interface, and realizing control of MQTT gateway connected equipment (such as starting measurement, reading/modifying configuration, etc.) by sending equipment command to MQTT gateway
The beneficial effect of this application: through the Internet of things cloud platform, a high-quality data access platform can be provided for medium and small enterprises, the medium and small enterprises do not need to build own cloud platforms, only service purchase is needed, the system service cost is reduced, and the quality of data service is provided. The cloud platform can monitor the operation state of enterprise equipment in real time, improve the decision level of enterprises and reduce the operation risk of enterprises. The data access performance is greatly improved, and the concurrent access quantity of ten million levels is achieved.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 is a flow chart of the system of the present application;
FIG. 2 is a flow chart of the data processing module calculation in the system of the present application.
Detailed Description
As shown in fig. 1, aiming at the problems in the prior art, the invention provides a cloud computing system based on internet of things big data, which is characterized by comprising an internet of things cloud platform, a real-time transmission module, an internet of things IOT platform, an equipment big data failure and early warning module, an asset visualization module, an asset maintenance management module, a mobile monitoring module, a mobile asset maintenance module, a data processing module and a data acquisition box; the real-time transmission module, the IOT platform, the equipment big data fault and early warning module, the asset visualization module, the asset maintenance management module, the mobile monitoring module and the mobile asset maintenance module are connected to the IOT platform in parallel, the IOT cloud platform is provided with a data processing module, the data collected by the data collection box are calculated, and the data are collected by the data collection box.
Further, as shown in fig. 2, when the data processing module performs the calculation, the method includes the following steps:
the method comprises the following steps: the client private custom protocol is transmitted to the data frame processing module through the communication driving module; the information processed by the data frame processing module is transmitted to a database;
step two: the MQTT gateway 1, the MQTT gateway 2 and the MQTT gateway n send the collected data to an MQTT front-end service module, and the MQTT front-end service module transmits the processed data to a database;
step three: the database distributes the data to the data synthesis module, and the data synthesis module processes the data and sends the processed data to the equipment early warning module;
step four: the device early warning module sends the processed data to the Internet of things platform, and the Internet of things platform is connected with the Internet of things APP at the same time.
Furthermore, the MQTT front-end service module is also connected with a project management module.
Furthermore, the database is connected with the Internet of things platform through a control scheduling module.
The real-time monitoring Internet of things cloud platform comprises a distributed equipment data processing center and an equipment data application cloud service platform. The method mainly realizes data protocol analysis, big data analysis and data application development and realization of various industrial equipment with complex protocols distributed all over the world.
Distributed device data processing center: and data aggregation, data analysis, processing and storage and service distribution are supported. The method supports various encryption and data distribution, large-scale equipment access, mining analysis of various relational and non-relational data and secondary application of various data.
The equipment data application cloud service platform builds a set of comprehensive WEB application platform integrating equipment management, gateway management, variable management, alarm management, operation and maintenance management, geographic information management, life cycle management and data analysis for the client in a WEB cloud platform mode, and accordingly a set of professional distributed equipment remote operation management platform and a distributed equipment service operation platform are created for the client.
The main product form is as follows: the internet of things WEB equipment cloud platform and the mobile phone APP platform are free of programming and software installation, professional skills are not needed, connection and communication between field equipment and a system can be rapidly and conveniently achieved, and a special internet of things application cloud platform is created for you. The remote data monitoring, remote operation and maintenance, remote management and other works of the equipment can be realized through WEB, APP and application software at any time and any place.
The method is characterized by applying a cloud computing technology, creating an application mode, constructing a data center of a virtualized computing environment on the basis of a data bearing integration platform and a content management platform, integrating and flexibly scheduling resources, improving application supporting capacity, realizing unified management, solving unified storage and consistency management of data, completing a supporting system of software and hardware operating environments, and constructing a green, efficient and stable Internet of things monitoring cloud platform.
The service architecture of the Internet of things cloud platform is divided into four parts, namely a service portal layer, a general application system, a data receiving and processing module and a project management platform.
(1) And (4) a service portal layer:
the method is mainly used for displaying contents required by a user in a friendly mode, packaging functions into services by adopting SOA (service oriented architecture) thought design, and facilitating reuse, expansion and maintenance of the system.
The system platform is constructed on a cloud service platform, and provides data presentation service, report statistics service, early warning and alarm handling service, space display service, system management service, equipment management service, project management service and the like on a real-time monitoring Internet of things platform for enterprises.
From the perspective of software structure, the system platform can be divided into a data layer, a basic service layer, a business application layer and a system interface service API according to the structure.
The data layer is a data support of the service platform, and provides data support for the platform in a Mysql mode.
The basic service layer is a basic component service layer of the platform and provides basic service components for the business application layer, wherein the basic service components comprise data access, safety management and log components.
The business application layer mainly provides various business function services of the platform.
(2) General application system
1. General application: the Internet of things cloud general application is mainly used for providing a foreground for Internet of things monitoring application and providing functions of data presentation, report statistics, early warning and alarm handling, space display, system management and the like for users.
2. And (3) general application management: the cloud general application management of the Internet of things is mainly used for providing the setting of presentation modes such as equipment management, GIS, data, statistical charts and the like for user managers in the foreground.
The space display of the equipment adopts public map resources such as google, Baidu and sky maps, the space distribution of various equipment is displayed on the map in a graph mode, and the space distribution supports point aggregation display (namely, the equipment is aggregated and displayed under the condition that the point distribution of a certain area is concentrated, and the point number of the area is displayed). A list of devices is provided (by default ordered by device name) on the right side of the map, with the basic device status, name and number shown in the device list. The lower side of the map is the alarm information of the equipment, and the alarm information needs to be processed manually.
All the equipment information and the alarm information are set according to the authority of the login personnel, namely the range of the equipment which can be seen by the login personnel, and the equipment which is not the equipment to which the personnel belongs, is not allowed to be seen.
Device information management supports online addition, deletion, and modification of device information. The method mainly comprises gateway information configuration, equipment information, configuration and variable information configuration and typical model management.
The equipment work order management mainly comprises equipment basic information import, wherein the equipment basic information mainly comprises an equipment name, an equipment code, a manufacturer and other basic information of equipment; the work order of the equipment can be directly imported in an EXCEL form, and the addition, deletion, modification, query and equipment work order export of online equipment information are supported.
Based on the full life cycle archive information of the equipment, the data such as the operation parameters, the environmental information and the like of the equipment are emphatically acquired, and the equipment is automatically reminded to replace spare parts when the equipment runs beyond the life cycle.
Collecting operation parameters of the management equipment in real time, wherein the operation parameters comprise temperature, voltage and the like; the running state of each flow device and the change of parameters are monitored in real time through an application system, a PC, an APP and a large screen; and realizing fault alarm. The online rate of the equipment can be displayed and counted in real time, the running details of the equipment can be checked, historical data can be inquired, various important indexes and parameters of the equipment can be monitored in real time, and the monitoring data comprise: status class data, event class data, fault class data, alarm class data, and the like.
According to the upper number of the equipment per day, if no data comes on the day according to the collection time interval, the equipment is considered to be in failure.
Through the application system, real-time operation data, fault information and the like of all equipment can be known on a PC, an APP or a large screen in real time. The online rate of the equipment can be displayed and counted in real time, the running details of the equipment can be checked, historical data can be inquired, various important indexes and parameters of the equipment can be monitored in real time, and the monitoring data comprise: status class data, event class data, fault class data, alarm class data, and the like.
And (3) displaying an operation channel chart of the equipment by adopting a graph (for example, the motors 2018-02-0100: 00-2018-02-0223: 00 are in an operation state).
And when the threshold value is exceeded, the alarm is automatically given out, meanwhile, the fault alarm can be automatically triggered, and the alarm can be appointed to be sent to corresponding personnel for viewing at a WEB end. The trigger is added with a simple function of comparing the data size, and does not carry out complex formula calculation.
Fault alarms are mainly classified into the following two categories;
1. and (3) real-time fault warning: reporting fault information collected by a control system in real time;
2. fault early warning: when the equipment operation parameter exceeds a preset data threshold value, an early warning prompt is generated, for example, a main parameter abnormity prompt, a use period over-limit prompt and the like.
All the equipment can be comprehensively managed through the system, and online supervision, geographic distribution statistics, fault statistics and the like of the equipment can be achieved. Operation records of field parameter setting, startup and shutdown and the like of the equipment can also be displayed in the platform.
And (3) standing account management: device type, device subclass name, model, instruction manual, etc.;
and (3) real-time monitoring: equipment operation parameters and instrument monitoring parameters;
history data: all historical data of equipment operation;
(3) data receiving and processing module
The Internet of things cloud general application management is mainly used for receiving and processing related data information of terminal equipment connected with the MQTT gateway. Is also the most central part of the platform.
The system is convenient to increase the support to a large amount of various heterogeneous protocol devices accessed by a multi-MQTT gateway on the basis of the original data receiving and processing by developing, deploying and setting the MQTT preposition service.
The uplink data receiving comprises: and connecting the MQTT gateway, acquiring equipment data from the MQTT gateway, analyzing and warehousing the equipment data, and meanwhile, performing formula calculation and early warning on the data.
And the downlink equipment controls: realizing reverse control of platform to equipment, receiving and collecting system providing command interface, and realizing control of MQTT gateway connected equipment (such as starting measurement, reading/modifying configuration, etc.) by sending equipment command to MQTT gateway
The application technology comprises the following steps:
1) written by java program, and compiled by JDK1.8
2) Running of services using wap
3) Third party software to be used: kafka, zookeeper, mysql, redis
The design of the MQTT gateway system comprises two contents, namely a gateway object acquisition principle, a gateway main body and application.
The platform, the gateway, the devices and the variables are main components of the whole platform, and how to read the variable data of one device is realized, firstly, the gateway (the gateway serial number is 0516122500590) is found, then one device (the device serial number is 115) below the gateway is found, and finally, the 40008 variable (40008 register address of Modbus protocol) of the device (the ID is 115) is found.
Configuring equipment parameters and variable tables on a platform, deploying the equipment parameters and the variable tables to a gateway through a deployment instruction, acquiring data of the field equipment by the gateway according to rules configured on the platform, and reporting the acquired data to the cloud platform according to a specified time period.
The MQTT gateway provides two themes, down (data down theme) and up (data up theme), respectively.
The uplink theme: bestdata/industry/up (upstream subject bestdata fixed, industry configured according to different industries)
The downlink theme: /$ gateway Sn/down
Because the message of the uplink protocol (WDCP for short) already contains the gateway serial number, the message can be directly subscribed to/bestdata/index/up/theme or +/+ or #, and then the JSON data is analyzed to obtain the uplink data and is inserted into the database.
The downlink topic is: and/0715120100001/down, when data is transmitted to a gateway (serial number 0715120100001), the data is only transmitted to the subject of/0715120100001/down, and the specific format refers to the message in the WDCP protocol. Therefore, the gateway can be directly connected with an Internet of things suite service center (MQTT service end) and realizes the subscription and the publishing of the message.
(4) A project management platform:
the Internet of things cloud project management platform is a multiple cloud platform project management environment constructed for an enterprise Internet of things cloud platform. The platform comprehensively manages the establishment of projects and the establishment of association of equipment information and the projects through centralized project management, equipment basic information management, equipment data general user-defined calculation formula configuration and the like.
The Internet of things cloud project management platform is a multiple cloud platform project management environment constructed for an enterprise Internet of things cloud platform. The platform comprehensively manages the establishment of projects and the establishment of association of equipment information and the projects through centralized project management, equipment basic information management, equipment data general user-defined calculation formula configuration and the like. The method can easily and conveniently complete the opening of the project, the establishment of project basic organization and initial users, the addition of equipment and the configuration of project association relation. The full life cycle management function of the project comprehensively improves the manageability, flexibility and reliability of the Internet of things cloud platform system, and can effectively reduce the operation and maintenance cost of enterprises.
The Internet of things cloud project management platform comprehensively improves the manageability, flexibility and reliability of Internet of things monitoring equipment resources and cloud projects, reduces operation and maintenance cost, is safe and reliable in construction, easy to manage and convenient to expand, has outstanding cost advantages, and is an ideal choice for managing the cloud computing resources Internet of things monitoring equipment resources and the cloud projects.
(1) The advancement is as follows: the cloud project management platform combines the technical advancement of virtualization with the actual requirements of the cloud project management system, and embodies the value brought by the cloud platform.
(3) Expansion capability: the cloud project management platform has the advantage that the dynamic expansion of the whole software and hardware resources can be dynamically carried out. The system service instance can also perform flexible expansion on its own resources.
(3) High reliability: the system provides data reliability guarantee, and a certain redundancy is considered in the aspects of hardware, network, software and the like by utilizing a technical mechanism of distributed data storage, so that single-point faults are avoided, and the reliable operation of the platform is ensured.
(6) Safety: resources of the cloud management platform are independently distributed according to cloud project users, and safety of equipment resource information is guaranteed.
(7) Openness and compatibility: by adopting an open architecture and comprehensively adopting the mainstream technical standard in the industry, the method can support different types of hardware servers, virtualization platforms, operating systems (Windows and Linux) and mainstream structured databases. And a completely self-defined configuration mode of the equipment data calculation formula is designed, so that the data information is ensured to be touched under the condition of no user service information, and various configuration requirements are ensured to be fully compatible.
(8) High efficiency: and the high efficiency of data processing is ensured by using a redis memory database and other processing service related data.
The Internet of things cloud platform mainly has the functions of a user center, a monitoring large screen, a home page, map display, list display, equipment management, data management and trigger management.
The Internet of things cloud platform is realized by separating a front end from a rear end. The front-end application Ant pro architecture ensures the beauty and the naturalness of the application page; the rear end adopts a Spring Boots + Mybatis framework, so that the high efficiency and convenience of the platform are ensured. The cloud platform service application ensures the safety and reliability of the cloud platform service by using the highly reliable Ali cloud server. The database adopts mysql, distributed multi-computer storage and backup are used, and data safety and high efficiency of data access are guaranteed.
The Internet of things cloud platform takes centralized monitoring, centralized maintenance and centralized management as a construction target; the automatic virtualized operation and maintenance management means is fused with the existing informatization management. The platform realizes real-time monitoring of various equipment data, equipment maintenance monitoring, equipment abnormity monitoring and the like, replaces manual work with automation and remote work, replaces characters with graphs, and presents the running state of the platform, the maintenance state of the platform equipment and the abnormal situation of equipment monitoring alarm conditions in various modes such as mails, short messages, images and the like. By monitoring and managing the equipment and the equipment data in real time, the faults of the monitoring equipment are timely and accurately found, the equipment is timely maintained, and the monitored warning condition is timely processed. Therefore, the quick response, fault removal and alarm condition timely processing are achieved, and the stable operation and long-term reliable data monitoring of the equipment are guaranteed. The cloud resources including the infrastructure environment are comprehensively managed and monitored by taking the aims of optimizing operation and maintenance management processes, improving information management level and improving alarm discovery processing efficiency as business targets, so that equipment, alarm monitoring and management and maintenance work of the cloud platform of the Internet of things is gradually changed from a passive management mode to an active and preventive management mode.
Second, database design
1. Structural design of platform watch
(1) Gateway table design specification
Serial number name data type meaning remark
1 ID INTEGER gateway ID self-increment
2 GATEWAY _ SN VARCHAR2(25) GATEWAY Serial number globally unique (manual population on platform)
Whether 3 GATEWAY _ ONLINE TINYINT is ONLINE, 0 is offline, 1 is ONLINE (MQTT link ONLINE condition)
4 GATEWAY _ SIMNUM VARCHAR2(25) SIM traffic card number
5 GATEWAY _ LOCATION VARCHAR2(50) latitude and longitude are selectable (if there is a LOCATION module)
6 GATEWAY _ CSQ INT GATEWAY signal value is selectable
7 GATEWAY _ LANIP VARCHAR2(50) local LANIP optional 192.168.2.1
The 8 GATEWAY _ NETMASK VARCHAR2(50) local LAN subnet mask may be chosen to be 255.255.255.0
9 GATEWAY _ CLOUDV VARCHAR2(50) Access cloud software version optional
10 GATEWAY _ BINV VARCHAR2(50) GATEWAY firmware version
11 CREATE _ TIME date creation TIME
(2) Equipment watch
Serial number name data type meaning remark
1 ID INTEGER device ID self-increment
2 DEVICE _ ID INT equipment serial number is unique under the same gateway
3 DEVICE _ NAME VARCHAR2(256) DEVICE name such as full automatic Engine
4 DEVICE _ NO VARCHAR2(256) DEVICE SERIAL NUMBER USER-DEFINED DEVICE SERIAL NUMBER
The 5 GATEWAY _ SN VARCHAR2(256) GATEWAY serial number is globally unique and defined in the GATEWAY table
6 CONNECT _ TYPE INT is connected with a 0 network port, a 1 serial port 232, a 2 serial port 485 and a 3USB port
7 IP VARCHAR2(256) (portal) IP Address of Ethernet Port device
8 PORT INT (Port) Port number Ethernet Port device Port
9 SLAVE _ ID INT SLAVE ID, e.g. Modbus SLAVE ID
10 COM _ PORT VARCHAR2(64) (serial PORT) serial PORT number COM0COM1COM2COM3
11 BAUDINT (Serial Port) Baud Rate Serial Port Baud Rate
12 PARITY VARCHAR2(16) (Serial Port) parity such as 0 (NONE) 1 (EVEN) 2 (ODD)
Common for 13 DATA _ BIT TINYINT DATA BITs are 678
The 14 STOP _ BIT TINYINT STOP BIT is often called 012
15 TIME _ OUT INT read-write latency timeout Default 1000ms
16 IS _ COLLECTING TINYINT whether Collection 0 IS on Collection 1 IS not (Default on)
17 IS _ REPORTING TINYINT report 0 report 1 not report (report by default)
The 18 PROTOCOL INT communication PROTOCOL needs to be enumerated
19 COLLECT _ PERIOD INT acquisition cycle defaults to 20s
20 REPORT _ PERIOD INT REPORT PERIOD defaults to 60s
21 SLAVED _ EXTRA VARCHAR2(64) device Address extension reservation field
Whether the 23 DEVICE _ ENABLE INT DEVICE is on 0 off 1 on
(3) Variable meter
Sequence number name data type meaning remark
1 ID INTEGER variable ID
2 GATEWAY _ SN VARCHAR2(256) GATEWAY sequence number
3 DEVICE _ ID INT DEVICE Serial number
4 VAR _ NAME VARCHAR2(256) variable name (unique index for same device)
Variable ALIAS name of 5 VAR _ ALIAS _ NAME VARCHAR2(256)
The 6 DATA _ TYPE INT DATA TYPE needs to be enumerated
7 REGISTER _ TYPE INT REGISTER TYPE Q, such as Siemens
8 ADDR _ OFFSET VARCHAR2(256) register OFFSET address such as 0.1
9 FLOAT _ DOT TINYINT decimal point
10 VAR _ UNIT VARCHAR2(20) UNITs
11 READ _ WRITE TINYINT READABLE/WRITE 0 READ 1 WRITE 2 READABLE/WRITE
12 WARN _ REPORTWAY TINYINT alarm reporting mode 0 no alarm 1 instant alarm 2 period alarm
13 STORE _ METHOD TINYINT STORAGE MODE 0 cloud STORAGE 1 local STORAGE
14 WARN _ LEVEL TINYINT alarm level
15 WARN _ LOW FLOAT alarm LOW value
16 WRAN _ HIGH floor alarm HIGH value
17 WARN _ LOW _ EQUAL TINYINT is less than or EQUAL to alarm
18 WARN _ HIGH _ EQUAL TINYINT is greater than or EQUAL to alarm or not
19 REPORT _ TYPE TINYINT REPORT type 0 periodic REPORT 1 change REPORT 2 not REPORT
20 ADDR _ EXTRAS VARCHAR2(256) Address extension String type variable to define the number of String occupied registers
21 ADDR_DB_BLOCK INT
22 ADDR _ BIT _ OFFSET INT fetch operation, overriding the OFFSET reservation field
23 RATE _ FACTOR VARCHAR2(256) magnification default to 1 (for upstream data only)
2. Register type
Numerical value corresponding to protocol English name register type
Modbus RTU var rtvModbus= [
{ key:1, value: '0X'},
{ key:2, value: '1X'},
{ key:3, value: '3X'},
{ key:4, value: '4X'}
];
Modbus TCP
Siemens ISOTCP var rtvSiemensTCP= [
{key:1,value:'Q'},
{key:2,value:'I'},
{key:3,value:'M'},
{key:4,value:'DB'},
{key:5,value:'T'},
{key:6,value:'C'},
{key:7,value:'V'}
];
Siemens PPI var rtvSiemensPPI= [
{key:1,value:'V'},
{key:2,value:'Q'},
{key:3,value:'I'},
{key:4,value:'M'},
{key:5,value:'T'},
{key:6,value:'C'},
{key:7,value:'AI'},
{key:8,value:'AQ'},
{key:9,value:'S'},
{key:10,value:'SM'}
];
Siemens MPI var rtvSiemensMPI= [
{key:1,value:'Q'},
{key:2,value:'I'},
{key:3,value:'M'},
{key:4,value:'DB'},
{key:5,value:'T'},
{key:6,value:'C'},
{key:7,value:'AI'},
{key:8,value:'AQ'}
];
Delta DVP var rtvDvp= [
{key:1,value:'X'},
{key:2,value:'Y'},
{key:3,value:'S'},
{key:4,value:'M'},
{key:5,value:'D'},
{key:6,value:'C'},
{key:7,value:'CW'},
{key:8,value:'T'},
{key:9,value:'TW'}
];
Mitsubishi FX2N_232DE var rtvMitfx2n= [
{key:1,value:'X'},
{key:2,value:'Y'},
{key:3,value:'S'},
{key:4,value:'M'},
{key:5,value:'D'},
{key:6,value:'C'},
{key:7,value:'T'}
];
Mitsubishi FX2N_485BD
Mitsubishi Qserial_COM var rtvMitq = [
{ key:1,value: 'X'},
{ key:2,value: 'Y'},
{ key:3,value: 'S'},
{ key:4,value: 'M'},
{ key:5,value: 'D'},
{ key:6,value: 'CN'},
{ key:7,value: 'TN'},
{ key:8,value: 'TS'},
{ key:9,value: 'CS'},
{ key:10,value: 'B'},
{ key:11,value: 'SB'},
{ key:12,value: 'DX'},
{ key:13,value: 'DY'},
{ key:14,value: 'W'},
{ key:15,value: 'SW'},
{ key:16,value: 'ZR'},
{ key:17,value: 'SM'},
{ key:18,value: 'L'},
{ key:19,value: 'F'},
{ key:20,value: 'CC'},
{ key:21,value: 'SS'},
{ key:22,value: 'SC'},
{ key:23,value: 'V'},
{ key:24,value: 'SD'},
{ key:25,value: 'SN'},
{ key:26,value: 'Z'},
{ key:27,value: 'R'}
];
Mitsubishi Qserial_NET
Googol TCP var rtvGoogol_tcp = [
{ key:1,value: 'A'},
{ key:2,value: 'DI'},
{ key:3,value: 'DO'},
{ key:4,value: 'AI'},
{ key:5,value: 'AO'},
{ key:6,value: 'C'},
{ key:7,value: 'D'},
{ key:8,value: 'S'},
{ key:9,value: 'B'},
{ key:10,value: 'I'},
{ key:11,value: 'R'}
];
3. Display data type table
The index values for several data types supported on the platform are as follows
var variableType = [
{key:0,value:'Bit'},
{key:1,value:'UShort'},
{key:2,value:'Short'},
{key:3,value:'ULong'},
{key:4,value:'Long'},
{key:5,value:'Float'},
{key:6,value:'BCD'},
{key:7,value:'BCDLong'},
{key:8,value:'Byte'},
{key:9,value:'String'}
];
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (4)
1. A cloud computing system based on Internet of things big data is characterized by comprising an Internet of things cloud platform, a real-time transmission module, an Internet of things IOT platform, an equipment big data fault and early warning module, an asset visualization module, an asset maintenance management module, a mobile monitoring module, a mobile asset maintenance module, a data processing module and a data acquisition box; the real-time transmission module, the IOT platform, the equipment big data fault and early warning module, the asset visualization module, the asset maintenance management module, the mobile monitoring module and the mobile asset maintenance module are connected to the IOT platform in parallel, the IOT cloud platform is provided with a data processing module, the data collected by the data collection box are calculated, and the data are collected by the data collection box.
2. The cloud computing system based on big data of the internet of things according to claim 1, wherein: when the data processing module carries out calculation, the method comprises the following steps: the method comprises the following steps: the client private custom protocol is transmitted to the data frame processing module through the communication driving module; the information processed by the data frame processing module is transmitted to a database; step two: the MQTT gateway 1, the MQTT gateway 2 and the MQTT gateway n send the collected data to an MQTT front-end service module, and the MQTT front-end service module transmits the processed data to a database; step three: the database distributes the data to the data synthesis module, and the data synthesis module processes the data and sends the processed data to the equipment early warning module; step four: the device early warning module sends the processed data to the Internet of things platform, and the Internet of things platform is connected with the Internet of things APP at the same time.
3. The cloud computing system based on big data of the internet of things according to claim 1, wherein: the MQTT front-end service module is also connected with a project management module.
4. The cloud computing system based on big data of the internet of things according to claim 1, wherein: the database is also connected with the Internet of things platform through the control scheduling module.
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Cited By (1)
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