CN110189039A - Based on distributed charging pile Event processing engine - Google Patents
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Abstract
The present invention relates to charging pile event processing fields, it is in particular a kind of to be based on distributed charging pile Event processing engine, the Event processing engine respectively with business platform, ability platform and regular center and charging pile communication connection, the Event processing engine includes picking out management module, event configuration module, event processing module, monitoring management module, multi-tenant management module, wherein: the management module that picks out is connected to business platform, charging pile, the event configuration module respectively with business platform, ability platform connection, the event processing module is connected to regular center and charging pile, the monitoring management module, multi-tenant management module is connected to business platform.The data obtained in real time can be reported to operation system, and docked with ability open platform by the present invention, carry out calling/feedback of business service, can effective solution director data processing high concurrent the problem of.
Description
Technical field
The present invention relates to charging pile event processing fields, specially a kind of to be based on distributed charging pile event handling
Engine.
Background technique
According to " electric car charging infrastructure develops guide (2015-2020) ", charging is built up to the year two thousand twenty China
Stake of standing is more than 1.2 ten thousand, and distributing charging pile 4,800,000, the charge requirement of 5,000,000 electric cars is met with this.And it is directed to
Every charging pile need to monitor a heartbeat, electricity, electric current, voltage, SOC data, charge volume, remaining charging time, charging gun in real time
The charge datas such as temperature, charging gun temperature, air outlet temperature.Demand, stake monitoring are monitored in real time in face of so huge charging pile
Instructing processing frequency is 10s/ times, and day frequency is 8640 times/day；It is every rifle if stake utilization rate conservative estimation is calculated by 25%
Operation times be 2160 times/day (25% × 8640=2160), the day data processing frequency of a rush-harvesting and rush-planting stake is about 13000
Times/day, and if platform accesses the charging pile of million number of stages, data processing frequency will be up to hundred billion times, using conventional data
Treatment mechanism, a business processing are a main threads, and need to fall into a long wait response, are unable to reach business decoupling.
Summary of the invention
The purpose of the present invention is to provide one kind to be based on distributed charging pile Event processing engine, to solve above-mentioned background
The problem of being proposed in technology.It should be high simultaneously based on the director data processing of distributed charging pile Event processing engine effective solution
The problem of hair.
To achieve the above object, the invention provides the following technical scheme:
One kind be based on distributed charging pile Event processing engine, the Event processing engine respectively with business platform, ability
Platform and regular center and charging pile communication connection, the Event processing engine include pick out management module, event is matched
Set module, event processing module, monitoring management module, multi-tenant management module, in which: described to pick out management module connection
In business platform, charging pile, the event configuration module is connect with business platform, ability platform respectively, the event handling mould
Block is connected to regular center and charging pile, and it is flat that the monitoring management module, multi-tenant management module are connected to business
Platform.
Further, the access events for picking out management module and reading business platform, charging pile, and to access thing
The configuration management of the channel, system, host ip at part center.
Further, the event configuration module for event registration, event subscription management, event be offline, event publication,
It and include a real-time status event, stake real time data processing event, order data query event, real-time expense calculating event, stake
Event of failure and stake online upgrading event data.
Further, the ability platform includes event capability module, event center client, the event capability mould
Block, event center client are connect with event configuration module.
Further, it includes access security control that the event center, which is mainly used for, access is adapted to, incoming event is located in advance
Reason, event reception, event rules operation, event rules triggering, the extension of event persistence, outgoing message conversion, event export, are different
Often record.
Further, the monitoring management module is divided into three kinds to the monitoring of system core performance index and is respectively as follows: system
Monitoring, service monitoring, using monitoring, in which: the system monitoring is used to monitor CPU, the indicator memory of clustered node, the clothes
Business monitoring includes Kafka service monitoring, Zookeeper service monitoring, Redis service monitoring, Storm service monitoring, described to answer
With the process data that monitoring includes in event handler procedure.
Further, the multi-tenant management module includes multi-tenant user management and tenant's User Resource Management, is passed through
Tenant's mode realizes data and calculating, the control of storage resource permission.
Compared with prior art, the beneficial effects of the present invention are:
This engine is mainly handled multiple affair source, is introduced the data processing techniques such as stream calculation, distributed memory, is connect
It receives the base instruction data in all kinds of real-time event sources and is parsed, while accumulation calculating is carried out to real-time event, it finally will be real
When complicated event data be loaded into distributed memory, carry out legal Data Matching, support access, the rule in multiple affair source
Creation, rule parsing processing and the real-time output of result data then.
On the one hand can receive by charging pile instruction handling engines come self-charging monitor in real time electricity, electric current, voltage,
SOC data, charge volume, remaining charging time, the data such as real time charging rifle temperature, real time charging rifle temperature, air outlet temperature；Separately
On the one hand, by Event processing engine, the data obtained in real time can be reported to operation system, and with ability open platform pair
It connects, carries out calling/feedback of business service.
It is fully considered based on distributed charging pile Event processing engine overall architecture using charging pile big data as background
Premise is designed, and read and write abruption is used in event handler procedure, the mode that data are not landed, entire treatment process is in memory
Different business modules is disposed on a different server or the same business module decouples multiple sub- industry by middle completion
Business, deployment on a different server, can effective solution director data processing high concurrent the problem of.
Detailed description of the invention
Fig. 1 is structure of the invention the general frame.
Fig. 2 is Event processing engine block diagram of the invention.
Fig. 3 is event registration work flow diagram of the invention.
Fig. 4 is remote events work flow diagram of the invention.
Fig. 5 is local event work flow diagram of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that term " up/down end ", "inner", "outside" " front end ", " rear end ",
The orientation or positional relationship of the instructions such as " both ends ", " one end ", " other end " is to be based on the orientation or positional relationship shown in the drawings, only
It is that for the convenience of describing the present invention and simplifying the description, rather than the device or element of indication or suggestion meaning must have specifically
Orientation is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, term " first ", " the
Two " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation " " is set
Set/be arranged with ", " socket ", " connection " etc., shall be understood in a broad sense, such as " connection ", may be a fixed connection, being also possible to can
Dismantling connection, or be integrally connected；It can be mechanical connection, be also possible to be electrically connected；It can be directly connected, can also pass through
Intermediary is indirectly connected, and can be the connection inside two elements.For the ordinary skill in the art, can have
Body situation understands the concrete meaning of above-mentioned term in the present invention.
Fig. 1-5 is please referred to, the present invention provides a kind of technical solution:
One kind be based on distributed charging pile Event processing engine, the Event processing engine respectively with business platform, ability
Platform and regular center and charging pile communication connection, are divided according to function, mainly include following processing module: connecing
Enter management, event configuration, event handling, monitoring management, multi-tenant management etc..
1) configuration management of the management realization to the channel at access events center, system, host ip is picked out；
2) event configuration module includes the functions such as event registration, event subscription management, offline, the event publication of event, at present
Main configuration event includes: a real-time status event, stake real time data processing event, order data query event, real-time expense
Calculating event, stake event of failure and stake online upgrading event；
3) event center mainly includes access security control, access adaptation, incoming event pretreatment, event reception, event
The functions such as regular operation, event rules triggering, the extension of event persistence, outgoing message conversion, event output, exception record；
4) monitoring to system core performance index is realized in monitoring management, is divided into three kinds of classifications and is respectively as follows: system monitoring, clothes
Business monitors, using monitoring.System monitoring is for monitoring the indexs such as CPU, the memory of clustered node.Service monitoring includes Kafka clothes
Business monitoring, Zookeeper service monitoring, Redis service monitoring, Storm service monitoring.It include event handler procedure using monitoring
In process data, such as: average handling time, reduced data amount, processing whether be delayed；
5) multi-tenant management includes multi-tenant user management and tenant's User Resource Management, realizes data by tenant's mode
And it calculates, the control of storage resource permission.
This engine is mainly handled multiple affair source, is introduced the data processing techniques such as stream calculation, distributed memory, is connect
It receives the base instruction data in all kinds of real-time event sources and is parsed, while accumulation calculating is carried out to real-time event, it finally will be real
When complicated event data be loaded into distributed memory, carry out legal Data Matching, support access, the rule in multiple affair source
Creation, rule parsing processing and the real-time output of result data then.
On the one hand can receive by charging pile instruction handling engines come self-charging monitor in real time electricity, electric current, voltage,
SOC data (instruction 0x33/0x34), charge volume (instruction 0x39), remaining charging time (instruction 0x3A), real time charging rifle temperature
The data such as (instruction 0x3D), real time charging rifle temperature, air outlet temperature (instruction 0x31)；On the other hand, drawn by event handling
Hold up, the data obtained in real time can be reported to operation system, and dock with ability open platform, carry out the calling of business service/
Feedback.
As shown in figure 3, event registration, when service starts, spring loads DistEventBus class automatically and calls it
Init method.All classes for realizing EventBusListener are obtained in init method, are then traversed and are called respectively
Register method carries out event registration processing.
After receiving incoming EventBusListener and realizing class, search its note is register method
All methods of Subscribe or AsyncSubscribe.Then it is corresponding to realize that class, method generate according to it for traversal method
Subscriber subscriber is that key is stored in Multimap type set with method parameter type.Subscriber subscriber
When generation, whether privately owned thread pool, size poolSize can be created according to explaining.Finally by the subscription of same class key
Person is aggregated into CopyOnWriteArraySet set, and being stored in key in subscribers subscriber's set is parameter type.
Finally traversal subscribers subscriber set generates corresponding topic according to wherein each key.Starting
Kafka monitors the topic of all generations, after listening to data, reversely generates EventType event type according to its topic
Allow rear post into local event.
When needing trigger event, post method can be called.Post parameter need incoming eventType event type and
Post mode postType, postType point local and remote event.
As shown in figure 4, remote events, generate topic according to eventType, then push it in kafka.Event
It is local event by its post after the kafka started when registration listens to corresponding topic message.
As shown in figure 5, local event, goes to search in subscribers event sets and order according to eventType event type
Reader.It successively traverses, executes the dispatchEvent method of its subscriber.DispatchEvent method obtains its subscriber's
The method being passed to when creation subscriber is called in thread pool, the reflection in thread through class.
It is fully considered based on distributed charging pile Event processing engine overall architecture using charging pile big data as background
Premise is designed, and read and write abruption is used in event handler procedure, the mode that data are not landed, entire treatment process is in memory
Different business modules is disposed on a different server or the same business module decouples multiple sub- industry by middle completion
Business, deployment on a different server, can effective solution director data processing high concurrent the problem of.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (7)
1. one kind be based on distributed charging pile Event processing engine, which is characterized in that the Event processing engine respectively with business
Platform, ability platform and regular center and charging pile communication connection, the Event processing engine include picking out management mould
Block, event configuration module, event processing module, monitoring management module, multi-tenant management module, in which: described to pick out pipe
Reason module is connected to business platform, charging pile, and the event configuration module is connect with business platform, ability platform respectively, described
Event processing module is connected to regular center and charging pile, and the monitoring management module, multi-tenant management module connect respectively
It is connected to business platform.
2. according to claim 1 a kind of based on distributed charging pile Event processing engine, it is characterised in that: described to connect
Enter to pick out the access events that management module reads business platform, charging pile, and the channel to access events center, system, host
The configuration management of IP.
3. according to claim 1 a kind of based on distributed charging pile Event processing engine, it is characterised in that: the thing
Part configuration module is for event registration, event subscription management, event are offline, event publication, and includes a real-time status event, stake
Real time data processing event, order data query event, real-time expense calculate event, stake event of failure and stake online upgrading event
Data.
4. according to claim 3 a kind of based on distributed charging pile Event processing engine, it is characterised in that: the energy
Power platform includes event capability module, event center client, and the event capability module, event center client and event are matched
Set module connection.
5. according to claim 2 a kind of based on distributed charging pile Event processing engine, it is characterised in that: the thing
Part center be mainly used for include access security control, access adaptation, incoming event pretreatment, event reception, event rules operation,
Event rules triggering, the extension of event persistence, outgoing message conversion, event output, exception record.
6. according to claim 1 a kind of based on distributed charging pile Event processing engine, it is characterised in that: the prison
Control management module is divided into three kinds to the monitoring of system core performance index and is respectively as follows: system monitoring, service monitoring, using monitoring,
Wherein: the system monitoring is used to monitor CPU, the indicator memory of clustered node, and the service monitoring includes Kafka service prison
Control, Zookeeper service monitoring, Redis service monitoring, Storm service monitoring, the application monitoring includes event handler procedure
In process data.
7. according to claim 1 a kind of based on distributed charging pile Event processing engine, it is characterised in that: described more
Tenant's management module includes multi-tenant user management and tenant's User Resource Management, by tenant's mode realize data and calculating,
The control of storage resource permission.
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