CN109714358A - A kind of injection molding MES cloud platform of micro services - Google Patents
A kind of injection molding MES cloud platform of micro services Download PDFInfo
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- CN109714358A CN109714358A CN201910036656.1A CN201910036656A CN109714358A CN 109714358 A CN109714358 A CN 109714358A CN 201910036656 A CN201910036656 A CN 201910036656A CN 109714358 A CN109714358 A CN 109714358A
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Abstract
A kind of injection molding MES cloud platform of micro services provided by the invention, including client, service gateway cluster, micro services container cluster, service register center cluster, dns server, data management system, mirror image warehouse, dynamic configuration center and log services；Client and the service gateway cluster are connected to the network；Micro services container cluster, service register center cluster are connected to the network with service gateway cluster；Micro services container cluster is connect with service register center cluster network；Micro services container cluster and data management system are connected to the network；Dns server establishes the association of each node of service centre by service register center cluster；Mirror image warehouse, dynamic configuration center, log services are connect with micro services container cluster network.A kind of injection molding MES cloud platform of micro services provided by the invention provides a kind of diversification of development language, can make to service quickly exploitation, deployment, operation management, the stabilization for realizing different regions workshop mass data, the platform quickly transmitted.
Description
Technical field
The present invention relates to injection molding applied technical fields, more particularly to a kind of injection molding MES cloud platform of micro services.
Background technique
In recent years, China's Injection Industry sustained and rapid development is molded the intelligence, automation, the level of IT application of factory
It is constantly being promoted, injection molding creation data is more and more huger and widely distributed, and as new demand amount is continuously increased, enterprise updates
Become more and more difficult with large-scale monoblock type application is repaired.With the continuous development of mobile Internet, enterprise, which is forced to apply, to be moved
Modernization UI interfacial structure is moved to so as to compliant mobile devices, this requires enterprise to be able to achieve the Quick thread of application function.How
Realize have quick exploitation, deployment, operation management, Persisting exploitation continuous integrating system, the problem of being current urgent need to resolve.
From the point of view of domestic entire Injection Industry, the current level of informatization of existing injection molding enterprise is only limitted to traditional entirety
The management system of formula framework applications ERP, MRP or this kind of plan level of goods entry, stock and sales, and MES grades in other words of the management of workshop level
Workshop management Informatic Management Soft Ware application be substantially at vacuum state, there are the problem of mainly have the following:
1, traditional monoblock type framework applications development system by standardized service interface realize function reuse, but with
Cloud and application function change it is more and more frequent, due to monoblock type application it is restricted, such as modular unit close coupling, development language
The problems such as single, scalability is not strong, configuration is complicated, high concurrent, so that monoblock type is applied to seem more on fast responding market
Come more unable to do what one wishes.
2, with the rapid development of computer and artificial intelligence, people are to the accuracy of authentication, safety and use
Property more stringent requirements are proposed, traditional login authentication method need user fill in every time user name, password, identifying code etc. letter
Breath so that user experience is not strong, use is inconvenient, and traditional login authentication method is easy to be cracked, so as to cause with
Family information leakage or even system are by malicious attack.
3, for traditional Injection Industry Informatic Management Soft Ware using 2d product introduction technology, which cannot be comprehensively
Show the structure, function, real-time status of injection molding machine, the injection molding information of transmitting be it is two-dimensional, static, unidirectional, user can only
It goes to feel from the angle of plane, lacks the authenticity of injection molding production.
4, the processing problem of mass data is molded the growth that explosion type is presented in data with the continuous development of Injection Industry,
Such as product data, inventory data, material consumption norm data, production plan data, processing technology information, hour norm, process letter
Breath, cost accounting information etc..And the monitoring due to production information, control and the management of production process requirement are real time datas,
The Data Discretization in different regions workshop, traditional monoblock type application system cannot achieve complicated mass data processing and wanted
It asks, therefore, the administrative analysis of mass data is required very high, it is desirable that can be carried out the storage, comparison, fortune of a large amount of real time datas
Make, generates all kinds of statistical forms etc..
Summary of the invention
The present invention be overcome existing monoblock type application system exist can not fast responding market demand, safety is insufficient,
Two-dimensional injection molding information can only be transmitted, cannot achieve the technological deficiencies such as complicated mass data processing requirement, provides one kind in incognito
The injection molding MES cloud platform of businessization.
In order to solve the above technical problems, technical scheme is as follows:
A kind of injection molding MES cloud platform of micro services, including client, service gateway cluster, micro services container cluster, clothes
Business registration center's cluster, dns server, data management system, mirror image warehouse, dynamic configuration center and log services；Wherein:
The client and the service gateway cluster are connected to the network；
The micro services container cluster, service register center cluster are connected to the network with the service gateway cluster；
The micro services container cluster is connect with the service register center cluster network；
The micro services container cluster and the data management system are connected to the network；
The dns server establishes the association of each node of service centre by the service register center cluster；
The mirror image warehouse, dynamic configuration center, log services are connect with the micro services container cluster network.
Wherein, the data management system includes injection molding machine, data collector, data acquisition subsystem, big data calculating
Subsystem and data management cluster；Wherein:
The data collector is used to acquire the sensor information of the injection molding machine；
The data collector and the data acquisition subsystem are electrically connected；
The data acquisition subsystem and the big data computing subsystem are connected to the network；
The big data computing subsystem is connect with the data management cluster network.
Wherein, the client is the display terminal of platform, and mobile phone, computer is supported to log in platform.
Wherein, the micro services container cluster include bio-identification micro services, 3DVR micro services, production monitoring micro services,
Abnormal alarm micro services, statement analysis micro services, rights management micro services；Loose coupling two-by-two between the micro services and micro services
It closes.
Wherein, the mirror image warehouse is used to manage the mirror image of each micro services, and micro services are in the form of mirror image described micro-
It is run in service container cluster；The dynamic configuration center manages the code of each micro services by connection Cloud Server and matches
Set file, dynamic configuration parameters during modification platform operation；The log services can adopt daily record data in platform operational process
Collection, management and analysis investigation.
Wherein, the service register center cluster includes multiple service units, and each service unit is to the micro services
Container cluster provides service, and host and port numbers, service release number, communications protocol including service, micro services container cluster are pressed
According to service various organization service inventory, at the same go in a manner of heartbeat detection in detection inventory to service it is whether useful, if not having to
It is rejected from service inventory.
Wherein, the big data computing subsystem includes distributed message middleware unit and data pre-processing unit；Institute
Distributed message middleware unit is stated for receiving the collected data of different regions injection device；The data pre-processing unit pair
The data that the distributed message middleware unit receives are pre-processed, and carry out classification storage into data management cluster.
Wherein, the data management cluster includes but are not limited to MySQL database, Redis database and big data
Warehouse.
Wherein, the client includes that registration logs in unit, account management unit, production monitoring unit, abnormal alarm list
Member, statement analysis unit and rights management unit；
User logs in unit (ONU) registration user information by the registration；
The account management unit is used for userspersonal information's management, message management, cancellation/exit；Personal information management
User name, mailbox, password, work number, biological information is carried out to modify；Message management i.e. receive information mail, nullify/
It exits to return and logs in homepage；
The production monitoring unit shows the real-time production status of injection molding machine by the virtual display technology three-dimensional of 3DVR；
The abnormal alarm unit is used to show the abnormal conditions and abnormal cause of injection molding machine in injection workshop, and will be abnormal
Information feedback is pushed to user；
The statement analysis unit includes but are not limited to daily production report/monthly magazine, raw material uses for providing report support
Situation table, production list progress report, shuts down reason statistical form, condition of molding examining report, mold actual production at quality daily sheet
Timesharing accounting table, injection cycle detail list, operation staff efficiency's statistical form；
The rights management unit includes the distribution for user right.
Wherein, the user information includes but are not limited to user name, mailbox, work number, biological information, and user logs in
When pass through fingerprint recognition log in.
In above scheme, user accesses the path of injection molding MES cloud platform are as follows: external request, service gateway cluster, micro services
Container cluster, data service/messaging service.Service gateway cluster and micro services container cluster use service register center cluster
Other services are relied on to call, each service cluster can be transferred through dynamic configuration center to obtain configuration information.
In above scheme, client sends request using https agreement and accesses background service, clothes by service gateway cluster
The setting of business gateway cluster, has successfully managed high concurrent access；Using Amazon EC2 as virtual Cloud Server, done using ELB
Load balancing, EC2 have the function of to automatically configure capacity, and when customer flow reaches spike, EC2 increases more capacity automatically to tie up
Hold the performance of fictitious host computer；ELB has elastic load proportionality action, automatic distribution application successor's flow；In order to guarantee safety,
Client request is needed using https encipherment protection, thus needs to carry out SSL unloading, is unloaded using Nginx to CIPHERING REQUEST
Load processing；External request is routed to some gateway in server cluster after ELB load balancing, is turned by gateway
It is dealt into micro services container cluster.
In above scheme, the reticular structure that micro services container cluster is made of a series of single fine-grained services of responsibilities,
Communicated between service by light weight mechanism, platform by using Eureka server set up realize service registration and
It was found that all micro services carry out a group survey to Eureka server, and regularly sends heartbeat and carry out health examination, Eureka service
Device default configuration is the heartbeat of transmission in 30 seconds, and surface service is still within existing state, and the time interval for sending heartbeat passes through
The configuration parameter of Eureka server voluntarily configures, Eureka server after receiving the last time heartbeat of Service Instance,
It waits 90 seconds i.e. continuous 3 times and does not receive heartbeat, just assert that service is dead, Eureka server self-protection mode is closed
In the case where can understand the registration information of the service.The self-protection mode is network partition, Eureka server occur
When losing excessive service in a short time, self-protection mode can be entered, i.e., one service is no for a long time to send phychology,
Eureka server will not be deleted.Self-protection mode default is opened, and may be configured as closed state by configuration parameter.
In above scheme, Eureka service is disposed in a manner of cluster, and all Eureka nodes in cluster can periodically certainly
The registration information of dynamic synchronous micro services；Eureka node establishes the association of all Eureka nodes by dns server, thus
It was found that other nodes.
In above scheme, micro services container cluster include bio-identification micro services, 3DVR micro services, production monitoring in incognito
Business, abnormal alarm micro services, statement analysis micro services, rights management micro services, each service can be divided into front end services
And back-end services, front end services are to be exposed to external different equipment after back-end services are done with necessary polymerization and cutting, are owned
Service starting when can all arrive Eureka server and registered, complicated dependence is had between service；Work as service
Between gateway forwards external request either backstage micro services when related calling, go back, Eureka server searches destination service
Registration information, discovery destination service are simultaneously called, and when front end services call back-end services also similarly, primary request is related to more
Mutual calling between a service is mutually called between service since each microserver is disposed in the form of cluster
When need to do load balancing, therefore have in each service a LB component be used to realize load balancing.
In above scheme, MES micro services are molded in the form of mirror image, operates in Docker container, is held using Docker
Required is sent mirror image and micro services one new mirror image of generation, this final mirror image is deployed in Docker by device technology
It is run in container, this mode is simple, efficiently and can rapid deployment service.Can be run in each Docker container it is multiple in incognito
Business, Docker container are disposed in a manner of cluster, are managed using Docker Swarm to these containers, and creation one is passed through
Mirror image warehouse is used to store the final delivery mirror image of all foundation image and generation, in mirror image warehouse to all mirror images into
Row management.
In above scheme, injection molding MES micro services rely on many configurations, will dynamic during the service operation of many configuration parameters
Modification, such as temperature, pressure threshold value are adjusted according to production；The method that tradition realizes information configuration, such as it is placed on xml, yml configuration
In file, and application is packaged together, and modification will provide code again, be packaged building, generate new mirror image, restarting every time
Service, efficiency is too low, therefore one dynamic configuration center service of this platform building supports the dynamic configurations of micro services；It uses
Building for dynamic configuration center is realized in the configserver service of Spring Cloud；Micro services code is stored in git service
In the privately owned warehouse of device, all configuration files for needing dynamic configuration are stored in the service of the configuration center under git server, are deployed to
Micro services in Docker container read the information of configuration file from git server dynamic.After code is modified in the local warehouse git
In push to git server warehouse, git server-side hooks has detected whether configuration file update automatically, if so, git server-side
Message is sent out to configuration center by message queue, notice configuration center refreshes corresponding configuration file, and such micro services can obtain
Newest profile information is got, realizes dynamic configuration.
In above scheme, every injection molding machine is fitted with data collector in data management system, and data collector is collected
Each sensor signal collected on injection molding machine, such as machine cycle, injection pressure, injection temperature, injection time, injection amount and note
Record machine such as opens, shuts down at the data, uploads in the data acquisition subsystem in workshop.Distribution in big data computing subsystem disappears
Breath middleware unit is responsible for receiving the data of each workshop data acquisition system, since the geographical location in workshop is different and uploads
Data volume is huge, therefore the transmission of data is carried out using flume, and to guarantee effective transmission of data, flume is a kind of with height
It can use, highly reliable distributed information log data acquisition, transmission, storage system.
In above scheme, distributed message middleware unit is responsible for receiving the data of each data acquisition subsystem, uses
Distributed Message Queue system kafka, kafka be across the language distribution formula of high-performance be distributed/subscribe to Message Queuing system；Number
It will be used as a Producer example according to each transmission data of acquisition subsystem, kafka cluster can be by each of Producer
Example transfers to Broker server to be handled as a Topic, then is consumed by each Consumer, and data are sent to
Pretreatment unit, carries out the fusion calculation of algorithm in data pre-processing unit, to obtain number required for each service
According to can be used for producing order placement service, monitoring data and abnormal data if creation data is stored in relevant database Mysql
It being stored in high-performance memory database Redis, monitoring data is merged with 3DVR virtual reality technology realizes that three-dimensional space shows,
Abnormal alarm data can be used for exception information processing and quick Push Service, and production analysis data are stored in large database concept such as
In Hbase, for use in data sheet analysis and management service.
In above scheme, user uses the concrete operation step of platform by client are as follows:
S1: MES cloud platform network address is molded by micro servicesization and enters platform registration login homepage, completes the note of personal account
Volume；
S2: after registration, pass through fingerprint or face identification logging-on system；
S3: after entering platform homepage, by account management, it can modify to personal information, can check e-mail messages, can
It nullifies/logs off；
S4: the functions such as 3DVR detection, abnormal alarm, statement analysis, rights management are realized by operating platform.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
A kind of injection molding MES cloud platform of micro services provided by the invention, has the advantage that
1, each functional module of injection molding machine MES system is carried out micro services by this platform, so that duty between each micro services
Blame single, loose coupling, development language diversification, the dynamic configuration and Cloud Server management of platform, can make to service quickly exploitation,
Deployment, operation management；
2, this platform is by big data acquisition subsystem, realizes the stabilization, quickly of different regions workshop mass data
Transmission, and calculated by pretreatment unit, data are subjected to classification storage, for the use of each micro services；
3, this platform is logged in using biometrics identification technology, guarantees the safety of system；
4, this platform is combined using 3DVR virtual reality technology with real-time production data, and engineering staff comprehensive can look into
It sees the real-time status of injection molding machine, improves production monitoring ability, promote user experience.
Detailed description of the invention
Fig. 1 is a kind of flat configuration diagram of injection molding MES cloud of micro services；
Fig. 2 is data management system configuration diagram；
Fig. 3 is client operation flow diagram.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent actual product
Size；
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing
's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1
As shown in Figure 1, a kind of injection molding MES cloud platform of micro services, including client, service gateway cluster, micro services
Container cluster, service register center cluster, dns server, data management system, mirror image warehouse, dynamic configuration center and log
Service；Wherein:
The client and the service gateway cluster are connected to the network；
The micro services container cluster, service register center cluster are connected to the network with the service gateway cluster；
The micro services container cluster is connect with the service register center cluster network；
The micro services container cluster and the data management system are connected to the network；
The dns server establishes the association of each node of service centre by the service register center cluster；
The mirror image warehouse, dynamic configuration center, log services are connect with the micro services container cluster network.
More specifically, as shown in Fig. 2, the data management system includes injection molding machine, data collector, data acquisition system
System, big data computing subsystem and data management cluster；Wherein:
The data collector is used to acquire the sensor information of the injection molding machine；
The data collector and the data acquisition subsystem are electrically connected；
The data acquisition subsystem and the big data computing subsystem are connected to the network；
The big data computing subsystem is connect with the data management cluster network.
More specifically, the client is the display terminal of platform, and mobile phone, computer is supported to log in platform.
More specifically, the micro services container cluster include bio-identification micro services, 3DVR micro services, production monitoring in incognito
Business, abnormal alarm micro services, statement analysis micro services, rights management micro services；Between the micro services and micro services two-by-two
Loose coupling.
More specifically, the mirror image warehouse is used to manage the mirror image of each micro services, and micro services are in the form of mirror image in institute
It states and is run in micro services container cluster；The dynamic configuration center manages the code of each micro services by connection Cloud Server
And configuration file, dynamic configuration parameters during modification platform operation；The log services can be to log number in platform operational process
According to acquisition, management and analysis investigation.
More specifically, the service register center cluster includes multiple service units, and each service unit is to described micro-
Service container cluster provides service, host and port numbers, service release number, communications protocol including service, micro services sets of containers
Group according to service various organization service inventory, while go in a manner of heartbeat detection in detection inventory to service it is whether useful, if not
With then being rejected from service inventory.
More specifically, the big data computing subsystem includes distributed message middleware unit and data prediction list
Member；The distributed message middleware unit is for receiving the collected data of different regions injection device；The data prediction
The data that unit receives the distributed message middleware unit pre-process, and carry out classification storage to data management collection
In group.
More specifically, the data management cluster includes but are not limited to MySQL database, Redis database and big
Data warehouse.
More specifically, the client includes that registration logs in unit, account management unit, production monitoring unit, abnormal report
Alert unit, statement analysis unit and rights management unit；
User logs in unit (ONU) registration user information by the registration；
The account management unit is used for userspersonal information's management, message management, cancellation/exit；Personal information management
User name, mailbox, password, work number, biological information is carried out to modify；Message management i.e. receive information mail, nullify/
It exits to return and logs in homepage；
The production monitoring unit shows the real-time production status of injection molding machine by the virtual display technology three-dimensional of 3DVR；
The abnormal alarm unit is used to show the abnormal conditions and abnormal cause of injection molding machine in injection workshop, and will be abnormal
Information feedback is pushed to user；
The statement analysis unit includes but are not limited to daily production report/monthly magazine, raw material uses for providing report support
Situation table, production list progress report, shuts down reason statistical form, condition of molding examining report, mold actual production at quality daily sheet
Timesharing accounting table, injection cycle detail list, operation staff efficiency's statistical form；
The rights management unit includes the distribution for user right.
More specifically, the user information includes but are not limited to user name, mailbox, work number, biological information, user
It is logged in when login by fingerprint recognition.
In the specific implementation process, user access injection molding MES cloud platform path are as follows: external request, service gateway cluster,
Micro services container cluster, data service/messaging service.Service gateway cluster and micro services container cluster are used in service registration
Heart cluster relies on other services to call, and each service cluster can be transferred through dynamic configuration center to obtain configuration information.
In the specific implementation process, client sends request using https agreement and accesses backstage by service gateway cluster
Service, the setting of service gateway cluster have successfully managed high concurrent access；Using Amazon EC2 as virtual Cloud Server, adopt
Load balancing is done with ELB, EC2 has the function of to automatically configure capacity, and when customer flow reaches spike, EC2 increases more automatically
Capacity is to maintain the performance of fictitious host computer；ELB has elastic load proportionality action, automatic distribution application successor's flow；In order to protect
Safety is demonstrate,proved, client request is needed using https encipherment protection, thus needs to carry out SSL unloading, using Nginx to encryption
Request carries out unloading processing；External request is routed to some gateway in server cluster after ELB load balancing, by
Gateway is forwarded in micro services container cluster.
In the specific implementation process, micro services container cluster is made of netted a series of single fine-grained services of responsibilities
Structure is communicated by light weight mechanism between service, and platform is set up to realize service by using Eureka server
Registration and discovery, all micro services to Eureka server carry out a group survey, and regularly send heartbeat and carry out health examination,
Eureka Server Default configuration be the heartbeat of transmission in 30 seconds, surface service is still within existing state, send heartbeat when
Between interval voluntarily configured by the configuration parameter of Eureka server, Eureka server receive Service Instance last
After secondary heartbeat, waits 90 seconds i.e. continuous 3 times and do not receive heartbeat, just assert that service is dead, Eureka server is protected self
Shield mode can understand the registration information of the service in the case where closing.The self-protection mode be occur network partition,
When Eureka server loses excessive service in a short time, self-protection mode can be entered, i.e., one service does not have for a long time
Have and send phychology, Eureka server will not be deleted.Self-protection mode default is opened, and can be set by configuration parameter
It is set to closed state.
In the specific implementation process, Eureka service is disposed in a manner of cluster, all Eureka node meetings in cluster
The registration information of timing automatic synchronization micro services；Eureka node establishes the pass of all Eureka nodes by dns server
Connection, to find other nodes.
In the specific implementation process, micro services container cluster includes bio-identification micro services, 3DVR micro services, production monitoring
Micro services, abnormal alarm micro services, statement analysis micro services, rights management micro services, each service can be divided into front end
Service and back-end services, front end services are to be exposed to external different equipment after back-end services are done with necessary polymerization and cutting,
All services can all arrive Eureka server when starting and be registered, and complicated dependence is had between service；When
It when gateway forwards related calling between external request or backstage micro services, goes back, Eureka server searches target clothes
The registration information of business, discovery destination service are simultaneously called, and when front end services call back-end services also similarly, primary request is related to
To the mutual calling between multiple services, since each microserver is disposed in the form of cluster, phase intermodulation between service
With when need to do load balancing, therefore have in each service a LB component be used to realize load balancing.
In the specific implementation process, injection molding MES micro services are operated in Docker container in the form of mirror image, are used
Required is sent mirror image and micro services one new mirror image of generation, this final mirror image is disposed by Docker container technique
It is run in Docker container, this mode is simple, efficiently and can rapid deployment service.It can be run in each Docker container
Multiple micro services, Docker container are disposed in a manner of cluster, are managed, are passed through to these containers using Docker Swarm
The final delivery mirror image that a mirror image warehouse is used to store all foundation image and generation is created, to institute in mirror image warehouse
There is mirror image to be managed.
In the specific implementation process, injection molding MES micro services, which rely on, much configures, during the service operation of many configuration parameters
It dynamically to modify, such as temperature, pressure threshold value is adjusted according to production；The method that tradition realizes information configuration, is such as placed on xml, yml
It waits in configuration files, and application is packaged together, modification will provide code again every time, packing constructs, generate new mirror image, again
New starting service, efficiency is too low, therefore this platform building one dynamic configuration center service supports the dynamic of micro services to match
It sets；Building for dynamic configuration center is realized using the configserver service of Spring Cloud；Micro services code is stored in
In the privately owned warehouse of git server, all configuration files for needing dynamic configuration are stored in the configuration center service under git server
In, the micro services being deployed in Docker container read the information of configuration file from git server dynamic.When the local warehouse git
After modification code in push to git server warehouse, git server-side hooks has detected whether configuration file update automatically, if
Have, git server-side sends out message to configuration center by message queue, and notice configuration center refreshes corresponding configuration file, in this way
Micro services can get newest profile information, realize dynamic configuration.
In the specific implementation process, every injection molding machine is fitted with data collector, data acquisition in data management system
Device collects each sensor signal collected on injection molding machine, such as machine cycle, injection pressure, injection temperature, injection time, injection
Amount and recorder such as open, shut down at the data, upload in the data acquisition subsystem in workshop.Point in big data computing subsystem
Cloth message-oriented middleware unit is responsible for receiving the data of each workshop data acquisition system, since the geographical location in workshop is different and
The data volume of upload is huge, therefore the transmission of data is carried out using flume, and to guarantee effective transmission of data, flume is a kind of
With High Availabitity, highly reliable distributed information log data acquisition, transmission, storage system.
In the specific implementation process, distributed message middleware unit is responsible for receiving the number of each data acquisition subsystem
According to, using Distributed Message Queue system kafka, kafka be across the language distribution formula of high-performance be distributed/subscribe to message queue
System has characteristics that quick and durableization, and the persistence of message is carried out under the overhead of constant grade；Height is handled up, general
It can achieve the throughput rate of 10W/s on logical server；Fully distributed system, Broker, Producer, Consumer,
The all primary automatic support of Topic is distributed, and automatic realize is responsible for equilibrium；Each transmission data of data acquisition subsystem are by conduct
One Producer example, kafka cluster can transfer to Broker server for each example of Producer as a Topic
It is handled, then is consumed by each Consumer, be sent to data pre-processing unit, carried out in data pre-processing unit
The fusion calculation of algorithm, so that obtaining each services required data, as creation data is stored in relevant database
In Mysql, it can be used for producing order placement service, monitoring data and abnormal data are stored in high-performance memory database Redis, prison
Control data merge with 3DVR virtual reality technology realize three-dimensional space show, abnormal alarm data can be used for exception information handle with
Quick Push Service, production analysis data are stored in large database concept such as Hbase, and clothes are analyzed and managed for use in data sheet
Business.
In the specific implementation process, as shown in figure 3, user uses the concrete operation step of platform by client are as follows:
S1: MES cloud platform network address is molded by micro servicesization and enters platform registration login homepage, completes the note of personal account
Volume；
S2: after registration, pass through fingerprint or face identification logging-on system；
S3: after entering platform homepage, by account management, it can modify to personal information, can check e-mail messages, can
It nullifies/logs off；
S4: the functions such as 3DVR detection, abnormal alarm, statement analysis, rights management are realized by operating platform.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (10)
1. a kind of injection molding MES cloud platform of micro services, it is characterised in that: hold including client, service gateway cluster, micro services
Device cluster, service register center cluster, dns server, data management system, mirror image warehouse, dynamic configuration center and log clothes
Business；Wherein:
The client and the service gateway cluster are connected to the network；
The micro services container cluster, service register center cluster are connected to the network with the service gateway cluster；
The micro services container cluster is connect with the service register center cluster network；
The micro services container cluster and the data management system are connected to the network；
The dns server establishes the association of each node of service centre by the service register center cluster；
The mirror image warehouse, dynamic configuration center, log services are connect with the micro services container cluster network.
2. a kind of injection molding MES cloud platform of micro services according to claim 1, it is characterised in that: the data management
System includes injection molding machine, data collector, data acquisition subsystem, big data computing subsystem and data management cluster；Wherein:
The data collector is used to acquire the sensor information of the injection molding machine；
The data collector and the data acquisition subsystem are electrically connected；
The data acquisition subsystem and the big data computing subsystem are connected to the network；
The big data computing subsystem is connect with the data management cluster network.
3. a kind of injection molding MES cloud platform of micro services according to claim 1, it is characterised in that: the client is
The display terminal of platform supports mobile phone, computer to log in platform.
4. a kind of injection molding MES cloud platform of micro services according to claim 1, it is characterised in that: the micro services are held
Device cluster includes that bio-identification micro services, 3DVR micro services, production monitoring micro services, abnormal alarm micro services, statement analysis are micro-
Service, rights management micro services；Loose coupling two-by-two between the micro services and micro services.
5. a kind of injection molding MES cloud platform of micro services according to claim 4, it is characterised in that: the mirror image warehouse
For managing the mirror image of each micro services, micro services are run in the micro services container cluster in the form of mirror image；It is described dynamic
State configuration center manages the code and configuration file of each micro services by connection Cloud Server, moves during modification platform operation
State configuration parameter；The log services can check log data acquisition, management and analysis in platform operational process.
6. a kind of injection molding MES cloud platform of micro services according to claim 1, it is characterised in that: the service note
Volume center cluster includes multiple service units, and each service unit provides service, including service to the micro services container cluster
Host and port numbers, service release number, communications protocol, micro services container cluster according to service various organization service inventory, together
Whether when goes in detection inventory to service in a manner of heartbeat detection useful, rejects from service inventory if not having to.
7. a kind of injection molding MES cloud platform of micro services according to claim 2, it is characterised in that: the big data meter
Operator Systems include distributed message middleware unit and data pre-processing unit；The distributed message middleware unit is used for
Receive the collected data of different regions injection device；The data pre-processing unit connects the distributed message middleware unit
The data received are pre-processed, and carry out classification storage into data management cluster.
8. a kind of injection molding MES cloud platform of micro services according to claim 1, it is characterised in that: the data pipe
Reason cluster includes but are not limited to MySQL database, Redis database and big data warehouse.
9. the injection molding MES cloud platform of described in any item a kind of micro services according to claim 1~8, it is characterised in that: described
Client include registration log in unit, account management unit, production monitoring unit, abnormal alarm unit, statement analysis unit and
Rights management unit；
User logs in unit (ONU) registration user information by the registration；
The account management unit is used for userspersonal information's management, message management, cancellation/exit；Personal information management i.e. into
Row user name, mailbox, password, work number, biological information are modified；Message management receives information mail, nullifies/exit
It returns and logs in homepage；
The production monitoring unit shows the real-time production status of injection molding machine by the virtual display technology three-dimensional of 3DVR；
The abnormal alarm unit is used to show the abnormal conditions and abnormal cause of injection molding machine in injection workshop, and by exception information
Feedback is pushed to user；
The statement analysis unit includes but are not limited to daily production report/monthly magazine, raw material service condition for providing report support
Table, production list progress report, shuts down reason statistical form, condition of molding examining report, mold actual production timesharing at quality daily sheet
Statistical form, injection cycle detail list, operation staff efficiency's statistical form；
The rights management unit includes the distribution for user right.
10. a kind of injection molding MES cloud platform of micro services according to claim 9, it is characterised in that: the user information
User name, mailbox, work number, biological information are included but are not limited to, is logged in when user logs in by fingerprint recognition.
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