CN113344354A - Data standardization processing system and method for application scene of smart power grid - Google Patents

Data standardization processing system and method for application scene of smart power grid Download PDF

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CN113344354A
CN113344354A CN202110593035.0A CN202110593035A CN113344354A CN 113344354 A CN113344354 A CN 113344354A CN 202110593035 A CN202110593035 A CN 202110593035A CN 113344354 A CN113344354 A CN 113344354A
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陈永涛
王莉
孙磊
衷宇清
王维
王敏
李锦煊
凌雨诗
张国翊
朱海龙
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China Southern Power Grid Co Ltd
Guangzhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangzhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Abstract

In the data standardization processing system, a service component layer is formed by a plurality of service components together; the service components are independently packaged into a single application module according to different business processing logics under the power grid application scene; the information resource module is used for receiving the message of the subordinate terminal equipment, uniformly encapsulating the communication protocol into the message of a specific protocol and then sending the message to the service processing module; the service processing module comprises: the system comprises a data result response unit, a service request forwarding unit and a data storage unit; the service bus module includes: a load balancing decision unit and a service configuration management unit; the processing method is based on the data standardization processing system to execute the data standardization processing step. According to the scheme, service interfaces are called to complete processing of all service data of the power grid, high customization of a terminal data standardized processing platform of the intelligent power grid is met, and the operation cost of the power grid is reduced.

Description

Data standardization processing system and method for application scene of smart power grid
Technical Field
The invention relates to the technical field of data standardization processing, in particular to a data standardization processing system and method for an application scene of an intelligent power grid.
Background
With the expansion of the scale of the national power grid, the digital development of the power distribution network and the application of the 5G communication technology, the data throughput and the service demand of the power grid are continuously increased, and higher requirements are put forward on a power communication management platform. The existing power communication management platform manages according to modes of layering, grading and partitioning, is relatively independent among systems at all levels, has the problems of 'information isolated island' and isolated data, cannot realize efficient, convenient and intelligent centralized management, and has low integration level and expandability; on the other hand, the existing power terminal equipment has various types, and has more communication modes with a management platform, mainly including optical fibers, wireless spread spectrum, a special line RS-485, a public network GPRS/3G, 5G and the like, and a unified data standard is lacked, so that interconnection and intercommunication among application systems are difficult to realize.
The existing power grid communication management platform usually adopts a single-chain client-server web architecture, the timeliness and the reliability of data processing are difficult to ensure in a high-concurrency application scene, and the technical requirements of quick response and dynamic planning of application services of the power grid communication management platform are difficult to meet. Therefore, the communication management support platform cannot effectively achieve intelligentization and integrated management in a power grid application scene, and operation of a power system is influenced to a great extent.
Disclosure of Invention
The invention aims to provide a data standardization processing system for an application scene of a smart power grid, which adopts a service-oriented system architecture to realize loose coupling of all service modules, adopts a standard service encapsulation mode, improves the expandability of a communication management platform, and completes data processing of all services of the power grid by calling a service interface.
The invention further provides a processing method of the data standardization processing platform of the application scene of the smart grid, and the data standardization processing step is executed based on the data standardization processing system.
In order to achieve the purpose, the invention adopts the following technical scheme:
data standardization processing system of smart power grids application scenario includes: the system comprises a service component layer, an information resource module, a service processing module and a service bus module;
the service component layer is formed by a plurality of service components together; the service components are independently packaged into a single application module according to different business processing logics under a power grid application scene;
the service assembly is used for receiving the service request from the service processing module, executing corresponding service processing logic and sending a service processing result set to the service processing module;
the information resource module is used for receiving the message of the subordinate terminal equipment, performing protocol conversion on the message by using a protocol conversion processing unit of the information resource module, uniformly encapsulating a communication protocol into the message of a specific protocol, and then sending the message to the service processing module;
the service processing module comprises: the system comprises a data result response unit, a service request forwarding unit and a data storage unit;
the data result response unit is used for sending the service processing result set file of the service assembly to the information resource module for protocol conversion processing;
the service request forwarding unit is used for receiving a service request from a user or a service request from terminal equipment and forwarding the request to the service bus module for decision operation; the service request forwarding unit is further configured to call the corresponding service component to perform service processing after receiving the decision from the service bus module;
the data storage unit is used for storing a service processing result set of the service assembly;
the service bus module includes: a load balancing decision unit and a service configuration management unit;
the load balancing decision unit is used for operating a load balancing strategy, solving an optimal load redirection scheme according to the activity number of the current service assembly after receiving the service request from the service processing module, determining which service assembly the service requested by the user is processed by and when to process, returning a decision result to the service request forwarding unit, and informing the service assembly to operate and process the service by the service request forwarding unit;
and the service configuration management unit is used for determining the number and the type of the service components configured on the service bus module in a certain time period according to the Qos of the service so as to realize the optimal load.
Preferably, the protocol conversion processing unit performs protocol conversion on the message, so that the communication protocol is uniformly encapsulated into a message of the SOAP protocol, and then the message is sent to the service processing module;
the message of the SOAP protocol comprises: letter identification, letter header, data item, error item and attachment;
the letter identification: marking the XML format document as a message of SOAP protocol;
said mail header containing a destination for the message for routing by said service processing module to one or more intermediate service components before the message can reach the destination of said service component;
the data item comprises all calling and responding information;
the error term is used for providing information about errors generated in processing the message;
the attachment is used for extending the SOAP message by adding one or more attachments.
Preferably, the service components are independently packaged into a single application module according to different business processing logics in a power grid application scene, a service external interface layer is added, and before a user calls a service, the service interface performs safety detection and fault tolerance processing, so that the terminal data format is uniformly packaged.
Preferably, the service bus module comprises: a service request caching unit;
the service request caching unit is used for storing the service request which is sent by the load balancing decision unit and is not added into the flow table, and providing a service flow table entry for the next decision calculation.
Preferably, the method further comprises the following steps: a service request and visualization platform;
and the data result response unit is also used for sending the result set to the service request and the visualization platform for the user to check the service processing result.
Preferably, the load balancing decision unit is configured to run a load balancing policy based on an ant colony algorithm, and after receiving a service request from the service processing module, solve an optimal load redirection scheme according to the current activity number of the service component;
the ant colony algorithm takes the load condition of the service component layer as an pheromone of the ant algorithm, the reciprocal of the operation number of the redirection service components as a heuristic function, and the load unbalance degree among the service components as the path length; before the algorithm starts, the pheromone concentration and each ant are initialized, and the processing energy among the service components is consideredForce differentiation, load handling capacity of service component versus pheromone τkiInitialization:
τki＝di；
wherein d isiDenoted as service component SiLoad processing capacity, creating ant objects comprising m multi-address service redirection flow table entries and x service components, and initializing server unbalance;
the ant colony algorithm comprises the following steps:
s1: ant random selection route (F)k，Si) The path being a flow entry FkRedirecting to service component SiAnd a search list g from the ant colony algorithm with the redirected flow entriesnDeleting the intermediate and adding the intermediate into a recovery table;
s2: ants select the multi-address service redirection flow table for service component redirection according to probability and rotation random algorithm, and at time t, the nth ant selects the flow table item FkRedirecting to service component SiThe probability calculation formula of (c) is as follows:
Figure BDA0003089913750000041
Figure BDA0003089913750000042
in the formula, τki(t) indicates that the flow table entry F is to be transmitted at time tkRedirecting to service component SiPheromone concentration of (a);
alpha is pheromone elicitor and represents the important weight of pheromone left by ants on the path; beta is an expected heuristic factor and represents an important weight of a heuristic function; etaki(t) is a heuristic function representation service component SiProcessing flow entry FkVisibility of forwarded traffic; the load balancing strategy adopts the operation number of the redirection service component to define an enlightening function:
Figure BDA0003089913750000051
s3: updating a task recovery table, searching a list and the load condition of a service component layer;
s4: each ant generates a local optimal solution; when one iteration is finished, each ant selects the solution with the minimum unbalance degree as the optimal solution according to the following formula, and the optimal solution is added into the sequence List<Fk，Si>：
Figure BDA0003089913750000052
The local optimal solution set R is as follows:
Figure BDA0003089913750000053
wherein, alpha represents the number of ants, and n represents the nth ant;
repeating the steps until the set maximum iteration times is reached, and calculating an optimal load redirection matrix:
Figure BDA0003089913750000054
if e in the matrixkiIf the value is non-zero, it means that the flow table entry F is setiLoad redirection to service component Si(ii) a If the value is zero, the original path is maintained.
Preferably, in step S4, after the distribution is completed for each ant, the pheromone is adjusted to prevent pheromone accumulation from causing errors to the solution:
Figure BDA0003089913750000055
Figure BDA0003089913750000056
in the above formula, ρ is the pheromone dissipation degree;
Figure BDA0003089913750000061
redirecting the matching entry (F) after completing a path for ant nk，Si) Concentration of released pheromone; w is a constant and represents the total pheromone concentration released by the ant colony algorithm after one iteration.
The processing method of the data standardization processing platform of the application scene of the smart power grid comprises the following steps:
(1) a service configuration management unit of the service bus module configures a currently connected service component;
(2) a user sends a service request at equipment;
(3) a service request forwarding unit of the service processing module receives an active service request from a user or a passive service request of equipment, generates a multi-address service redirection flow table, and sends the multi-address service redirection flow table to a load balancing decision unit of the service bus module;
(4) the load balancing decision unit generates an optimal load redirection matrix based on load decision, generates a flow table item redirection service request according to the optimal load redirection matrix, and sends the flow table item to a service request forwarding unit of the service processing module;
(5) the service request forwarding unit redirects the service request according to the flow table item of the load balancing decision unit to send the corresponding flow table item, namely the service processing task, to the corresponding service component for processing;
(6) after receiving the service request, the service component receives the equipment data message uniformly packaged by the protocol conversion unit from the data result response unit, and outputs a result set file after the processing of the service logic layer is finished, and sends the result set file to the data result response unit;
(7) the data result response unit sends the result set file to the data storage unit and the service request and visualization platform for the user to check the service processing result, and simultaneously the result set file is sent to the protocol conversion processing unit of the information resource module, decapsulated and converted into a message of a corresponding protocol, and the device generates a corresponding response action according to the message.
Preferably, in the step (4), the load balancing decision unit generates an optimal load redirection matrix by using a load decision based on an ant colony algorithm, generates a flow entry redirection service request according to the optimal load redirection matrix, and sends the flow entry to a service request forwarding unit of the service processing module;
the ant colony algorithm takes the load condition of the service component layer as an pheromone of the ant algorithm, the reciprocal of the operation number of the redirection service components as a heuristic function, and the load unbalance degree among the service components as the path length; before the algorithm starts, the pheromone concentration and each ant are initialized, the difference of the processing capacity among the service components is considered, and the pheromone tau is processed by the load processing capacity of the service componentskiInitialization:
τki＝di；
wherein d isiDenoted as service component SiLoad processing capacity, creating ant objects comprising m multi-address service redirection flow table entries and x service components, and initializing server unbalance;
the ant colony algorithm comprises the following steps:
s1: ant random selection route (F)k，Si) The path being a flow entry FkRedirecting to service component SiAnd a search list g from the ant colony algorithm with the redirected flow entriesnDeleting the intermediate and adding the intermediate into a recovery table;
s2: ants select the multi-address service redirection flow table for service component redirection according to probability and rotation random algorithm, and at time t, the nth ant selects the flow table item FkRedirecting to service component SiThe probability calculation formula of (c) is as follows:
Figure BDA0003089913750000071
Figure BDA0003089913750000072
in the formula, τki(t) indicates that the flow table entry F is to be transmitted at time tkRedirecting to service component SiPheromone concentration of (a);
alpha is pheromone elicitor and represents the important weight of pheromone left by ants on the path; beta is an expected heuristic factor and represents an important weight of a heuristic function; etaki(t) is a heuristic function representation service component SiProcessing flow entry FkVisibility of forwarded traffic; the load balancing strategy adopts the operation number of the redirection service component to define an enlightening function:
Figure BDA0003089913750000081
s3: updating a task recovery table, searching a list and the load condition of a service component layer;
s4: each ant generates a local optimal solution; when one iteration is finished, each ant selects the solution with the minimum unbalance degree as the optimal solution according to the following formula, and the optimal solution is added into the sequence List<Fk，Si>：
Figure BDA0003089913750000082
The local optimal solution set R is as follows:
Figure BDA0003089913750000083
wherein, alpha represents the number of ants, and n represents the nth ant;
repeating the steps until the set maximum iteration times is reached, and calculating an optimal load redirection matrix:
Figure BDA0003089913750000084
if e in the matrixkiIf the value is non-zero, it means that the flow table entry F is setiLoad redirection to service component Si(ii) a If the value is zero, the original path is maintained.
Further optimally, in the step (7), the protocol conversion processing unit performs protocol conversion on the message, so that the communication protocol is uniformly encapsulated into a message of the SOAP protocol, and then the message is sent to the service processing module;
the message of the SOAP protocol comprises: letter identification, letter header, data item, error item and attachment;
the letter identification: marking the XML format document as a message of SOAP protocol;
said mail header containing a destination for the message for routing by said service processing module to one or more intermediate service components before the message can reach the destination of said service component;
the data item comprises all calling and responding information;
the error term is used for providing information about errors generated in processing the message;
the attachment is used for extending the SOAP message by adding one or more attachments;
and the result set file is sent to the protocol conversion processing unit, decapsulated and converted into a corresponding protocol message, and the device generates a corresponding response action according to the message.
The invention has the beneficial effects that:
1. the intelligent power grid data standardization processing platform designed by the patent adopts a service-oriented system architecture to realize loose coupling of all service modules, adopts a standard service packaging mode, improves the expandability of a communication management platform, completes the processing of all service data of a power grid by calling a service interface, meets the high customization of the intelligent power grid terminal data standardization processing platform, and reduces the operation cost of the power grid.
2. The intelligent power grid data standardization processing platform based on the SOA framework uses the SOAP protocol as a communication message protocol among modules, provides a uniform data access interface for various services through middleware, and realizes the standardization of power grid equipment data.
3. The intelligent power grid terminal data standardization platform deploys a load balancing decision strategy based on an ant colony algorithm, a differentiated slicing strategy is made according to QoS (quality of service) of each application service in a power grid application scene, a mutually isolated logic network is constructed, customized bearing of services is realized, a terminal data processing task is intelligently distributed, cooperative management of each service component can be realized, the service processing efficiency of the intelligent power grid management platform is improved, and service tuning and elastic capacity expansion are realized through slicing management.
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FIG. 1 is a schematic diagram of a system architecture of a data normalization processing platform;
FIG. 2 is a schematic diagram of the internal structure of a service component;
FIG. 3 is a diagram illustrating a format of a SOAP protocol message;
FIG. 4 is a flowchart of a process for a collaboration completion service of units;
fig. 5 is a service processing flow diagram.
Fig. 6 is a flowchart for implementing a load balancing decision strategy based on the ant colony algorithm.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
The platform scheme framework of the intelligent power grid data standardization processing platform based on the SOA architecture is shown in figure 1, and the data standardization processing system of the intelligent power grid application scene comprises: the system comprises a service component layer, an information resource module, a service processing module and a service bus module;
as shown in fig. 2, the service component layer is composed of a plurality of service components together; the service components are independently packaged into a single application module according to different business processing logics under a power grid application scene;
the service assembly is used for receiving the service request from the service processing module, executing corresponding service processing logic and sending a service processing result set to the service processing module;
the service assembly receives the service request from the service processing module, the service logic layer executes corresponding service processing logic, and returns a service processing result to the data storage unit of the service processing module;
the information resource module is used for receiving the message of the subordinate terminal equipment, performing protocol conversion on the message by using a protocol conversion processing unit of the information resource module, uniformly encapsulating a communication protocol into the message of a specific protocol, and then sending the message to the service processing module;
the information resource module receives the message of the subordinate terminal equipment, and carries out protocol conversion on the message by using a protocol conversion processing unit, communication protocols such as RS485, MQTT, HTTP and the like are uniformly packaged into the message of the SOAP protocol, the protocol uses XML formatted messages, HTTP carries data, defines the receiving party and the data content of the data, and then sends the message to a data result response unit of the service processing module;
the service processing module comprises: the system comprises a data result response unit, a service request forwarding unit and a data storage unit;
the data result response unit is used for sending the service processing result set file of the service assembly to the information resource module for protocol conversion processing;
the service request forwarding unit is used for receiving a service request from a user or a service request from terminal equipment and forwarding the request to the service bus module for decision operation; the service request forwarding unit is further configured to call the corresponding service component to perform service processing after receiving the decision from the service bus module;
the data storage unit is used for storing a service processing result set of the service assembly;
as in fig. 4, the units play a role in the service processing flow;
and the data result response unit sends the service processing result set file of the service assembly to the information resource module for protocol conversion processing, and also sends the result set to the service request and the visual platform for the user to check the service processing result. The service request forwarding unit receives a service request from a user or a service request from terminal equipment, forwards the request to a load balancing decision unit of the service bus module for decision operation, and receives a decision from the service bus module to call a corresponding service component for service processing. The data storage unit stores a set of business processing results for the service components.
The service bus module includes: a load balancing decision unit and a service configuration management unit;
the load balancing decision unit is used for operating a load balancing strategy, solving an optimal load redirection scheme according to the activity number of the current service assembly after receiving the service request from the service processing module, determining which service assembly the service requested by the user is processed by and when to process, returning a decision result to the service request forwarding unit, and informing the service assembly to operate and process the service by the service request forwarding unit;
and the service configuration management unit is used for determining the number and the type of the service components configured on the service bus module in a certain time period according to the Qos of the service so as to realize the optimal load.
The load balancing decision unit runs a load balancing strategy based on the ant colony algorithm, after receiving the service request from the service processing module, the load balancing decision unit solves the optimal load redirection scheme through the ant colony algorithm according to the activity number of the current service components, decides which service component the service requested by the user is processed by and when to process the service, returns the decision result to the service request forwarding unit of the service processing module, and informs the service components of running the processing service. And the service configuration management unit determines the number and the type of service components configured on the service bus module in a certain time period according to the Qos of the service, so as to realize the optimal load. And when the number of the services requested at a certain moment exceeds the processing capacity of the management platform, storing a redirection flow table of the unexecuted services.
On the basis of the existing power grid communication management supporting platform, the data access interface for realizing protocol conversion of communication messages is designed to solve the problems that protocols of messages are various and service data interfaces are not uniform when the conventional power grid communication management platform is communicated with various bottom layer devices.
Secondly, an integrated framework of an intelligent power grid terminal data standardized processing platform for slice management based on an SOA architecture is designed for the power grid terminal data processing platform under the application requirements of a complex network environment and loose coupling, the platform is divided into an information resource module, a service component layer, a service bus module, a service processing module and a service request and visualization platform by adopting a modular structure, and customization of the platform, loose coupling of service modules and dynamic interaction are realized.
Finally, the intelligent power grid terminal data standardization processing platform designed by the patent can make a differentiated slicing strategy according to the QoS of each application service in a power grid scene by deploying a load balancing strategy based on an ant colony algorithm, reasonably distributes service processing tasks in a power grid high-concurrency application demand environment, and overcomes the defects of low response speed and low reliability of the conventional power grid terminal data processing platform.
Preferably, as shown in fig. 3, the protocol conversion processing unit performs protocol conversion on the message, so that the communication protocol is uniformly encapsulated into a message of the SOAP protocol, and then the message is sent to the service processing module;
the message of the SOAP protocol comprises: letter identification, letter header, data item, error item and attachment;
the letter identification: marking the XML format document as a message of SOAP protocol;
said mail header containing a destination for the message for routing by said service processing module to one or more intermediate service components before the message can reach the destination of said service component;
the data item comprises all calling and responding information;
the error term is used for providing information about errors generated in processing the message;
the attachment is used for extending the SOAP message by adding one or more attachments.
Preferably, the service components are independently packaged into a single application module according to different business processing logics in a power grid application scene, a service external interface layer is added, and before a user calls a service, the service interface performs safety detection and fault tolerance processing, so that the terminal data format is uniformly packaged.
Preferably, the service bus module comprises: a service request caching unit;
the service request caching unit is used for storing the service request which is sent by the load balancing decision unit and is not added into the flow table, and providing a service flow table entry for the next decision calculation.
Preferably, the method further comprises the following steps: a service request and visualization platform;
and the data result response unit is also used for sending the result set to the service request and the visualization platform for the user to check the service processing result.
Preferably, the load balancing decision unit is configured to run a load balancing policy based on an ant colony algorithm, and after receiving a service request from the service processing module, solve an optimal load redirection scheme according to the current activity number of the service component;
the ant colony algorithm takes the load condition of the service component layer as an pheromone of the ant algorithm, the reciprocal of the operation number of the redirection service components as a heuristic function, and the load unbalance degree among the service components as the path length; before the algorithm starts, the pheromone concentration and each ant are initialized, the difference of the processing capacity among the service components is considered, and the pheromone tau is processed by the load processing capacity of the service componentskiInitialization:
τki＝di；
wherein d isiDenoted as service component SiLoad processing capacity, creating ant objects comprising m multi-address service redirection flow table entries and x service components, and initializing server unbalance;
the ant colony algorithm comprises the following steps:
s1: ant random selection route (F)k，Si) The path being a flow entry FkRedirecting to service component SiAnd a search list g from the ant colony algorithm with the redirected flow entriesnDeleting the intermediate and adding the intermediate into a recovery table;
s2: ants select the multi-address service redirection flow table for service component redirection according to probability and rotation random algorithm, and at time t, the nth ant selects the flow table item FkRedirecting to service component SiThe probability calculation formula of (c) is as follows:
Figure BDA0003089913750000141
Figure BDA0003089913750000142
in the formula, τki(t) indicates that the flow table entry F is to be transmitted at time tkRedirecting to service component SiPheromone concentration of (a);
alpha is pheromone elicitor and represents the important weight of pheromone left by ants on the path; beta is an expected heuristic factor and represents an important weight of a heuristic function; etaki(t) is a heuristic function representation service component SiProcessing flow entry FkVisibility of forwarded traffic; the load balancing strategy adopts the operation number of the redirection service component to define an enlightening function:
Figure BDA0003089913750000143
s3: updating a task recovery table, searching a list and the load condition of a service component layer;
s4: each ant generates a local optimal solution; when one iteration is finished, each ant selects the solution with the minimum unbalance degree as the optimal solution according to the following formula, and the optimal solution is added into the sequence List<Fk，Si>：
Figure BDA0003089913750000144
The local optimal solution set R is as follows:
Figure BDA0003089913750000145
wherein, alpha represents the number of ants, and n represents the nth ant;
repeating the steps until the set maximum iteration times is reached, and calculating an optimal load redirection matrix:
Figure BDA0003089913750000151
if e in the matrixkiIf the value is non-zero, it means that the flow table entry F is setiLoad redirection to service component Si(ii) a If the value is zero, the original path is maintained.
The patent provides a load balancing decision strategy based on an ant colony algorithm, the ant colony algorithm is an intelligent optimization algorithm for finding a path in the process of simulating ants to find food, the optimal scheme of service component load redirection is obtained through the path optimization solution of the ant algorithm, service processing tasks are intelligently distributed, and the service tuning and the elastic expansion are realized through slice management, so that the service processing efficiency and the reliability of the whole data standardization processing platform in the high-concurrency-demand network environment applied to a power grid are improved.
Further optimally, in step S4, after the distribution is completed for each ant, the pheromone is adjusted to prevent pheromone accumulation from causing errors to the solution:
Figure BDA0003089913750000152
Figure BDA0003089913750000153
in the above formula, ρ is the pheromone dissipation degree;
Figure BDA0003089913750000154
redirecting the matching entry (F) after completing a path for ant nk，Si) Concentration of released pheromone; w is a constant and represents the total pheromone concentration released by the ant colony algorithm after one iteration.
As shown in fig. 5, the processing method of the data standardization processing platform for the smart grid application scenario includes the following steps:
(1) a service configuration management unit of the service bus module configures a currently connected service component;
(2) a user sends a service request at equipment; the user can actively send a service processing request at the service request and the visualization platform, or send a service request at the equipment managed by the information resource module.
(3) A service request forwarding unit of the service processing module receives an active service request from a user or a passive service request of equipment, generates a multi-address service redirection flow table, and sends the multi-address service redirection flow table to a load balancing decision unit of the service bus module;
(4) the load balancing decision unit generates an optimal load redirection matrix based on load decision, generates a flow table item redirection service request according to the optimal load redirection matrix, and sends the flow table item to a service request forwarding unit of the service processing module; meanwhile, the load balancing decision unit stores the service request which is not added into the flow table in a service request cache unit, and provides a service flow table entry for the next decision calculation;
(5) the service request forwarding unit redirects the service request according to the flow table item of the load balancing decision unit to send the corresponding flow table item, namely the service processing task, to the corresponding service component for processing;
(6) after receiving the service request, the service component receives the equipment data message uniformly packaged by the protocol conversion unit from the data result response unit, and outputs a result set file after the processing of the service logic layer is finished, and sends the result set file to the data result response unit;
(7) the data result response unit sends the result set file to the data storage unit and the service request and visualization platform for the user to check the service processing result, and simultaneously the result set file is sent to the protocol conversion processing unit of the information resource module, decapsulated and converted into a message of a corresponding protocol, and the device generates a corresponding response action according to the message.
Preferably, in the step (4), the load balancing decision unit generates an optimal load redirection matrix by using a load decision based on an ant colony algorithm, generates a flow entry redirection service request according to the optimal load redirection matrix, and sends the flow entry to a service request forwarding unit of the service processing module;
the ant colony algorithm takes the load condition of the service component layer as an pheromone of the ant algorithm, the reciprocal of the operation number of the redirection service components as a heuristic function, and the load unbalance degree among the service components as the path length; before the algorithm starts, the pheromone concentration and each ant are initialized, the difference of the processing capacity among the service components is considered, and the pheromone tau is processed by the load processing capacity of the service componentskiInitialization:
τki＝di；
wherein d isiDenoted as service component SiLoad processing capacity, creating ant objects comprising m multi-address service redirection flow table entries and x service components, and initializing server unbalance;
the ant colony algorithm comprises the following steps:
s1: ant random selection route (F)k，Si) The path being a flow entry FkRedirecting to service component SiAnd a search list g from the ant colony algorithm with the redirected flow entriesnDeleting the intermediate and adding the intermediate into a recovery table;
s2: ants select the multi-address service redirection flow table for service component redirection according to probability and rotation random algorithm, and at time t, the nth ant selects the flow table item FkRedirecting to service component SiThe probability calculation formula of (c) is as follows:
Figure BDA0003089913750000171
Figure BDA0003089913750000172
in the formula, τki(t) indicates that the flow table entry F is to be transmitted at time tkRedirecting to service component SiPheromone concentration of (a);
alpha is pheromone elicitor and represents the important weight of pheromone left by ants on the path; beta is an expected heuristic factor and represents an important weight of a heuristic function; etaki(t) is a heuristic function representation service component SiProcessing flow entry FkVisibility of forwarded traffic; the load balancing strategy adopts the operation number of the redirection service component to define an enlightening function:
Figure BDA0003089913750000173
s3: updating a task recovery table, searching a list and the load condition of a service component layer;
s4: each ant generates a local optimal solution; when one iteration is finished, each ant selects the solution with the minimum unbalance degree as the optimal solution according to the following formula, and the optimal solution is added into the sequence List<Fk，Si>：
Figure BDA0003089913750000181
The local optimal solution set R is as follows:
Figure BDA0003089913750000182
wherein, alpha represents the number of ants, and n represents the nth ant;
in step S4, after the distribution is completed for each ant, the pheromone is adjusted to prevent the pheromone accumulation from causing errors to the solution:
Figure BDA0003089913750000183
Figure BDA0003089913750000184
in the above formula, ρ is the pheromone dissipation degree;
Figure BDA0003089913750000185
redirecting the matching entry (F) after completing a path for ant nk，Si) Concentration of released pheromone; w is a constant and represents the total concentration of pheromones released by executing one iteration by the ant colony algorithm;
repeating the steps until the set maximum iteration times is reached, and calculating an optimal load redirection matrix:
Figure BDA0003089913750000186
if e in the matrixkiIf the value is non-zero, it means that the flow table entry F is setiLoad redirection to service component Si(ii) a If the value is zero, the original path is maintained.
Preferably, in the step (7), the protocol conversion processing unit performs protocol conversion on the message, so that the communication protocol is uniformly encapsulated into a message of the SOAP protocol, and then the message is sent to the service processing module;
the message of the SOAP protocol comprises: letter identification, letter header, data item, error item and attachment;
the letter identification: marking the XML format document as a message of SOAP protocol;
said mail header containing a destination for the message for routing by said service processing module to one or more intermediate service components before the message can reach the destination of said service component;
the data item comprises all calling and responding information;
the error term is used for providing information about errors generated in processing the message;
the attachment is used for extending the SOAP message by adding one or more attachments.
And the result set file is sent to the protocol conversion processing unit, decapsulated and converted into a corresponding protocol message, and the device generates a corresponding response action according to the message.
The technical principle of the present invention is described above in connection with specific embodiments. The description is made for the purpose of illustrating the principles of the invention and should not be construed in any way as limiting the scope of the invention. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive effort, which would fall within the scope of the present invention.

Claims (10)

1. Data standardization processing system of smart power grids application scenario, its characterized in that includes: the system comprises a service component layer, an information resource module, a service processing module and a service bus module;
the service component layer is formed by a plurality of service components together; the service components are independently packaged into a single application module according to different business processing logics under a power grid application scene;
the service assembly is used for receiving the service request from the service processing module, executing corresponding service processing logic and sending a service processing result set to the service processing module;
the information resource module is used for receiving the message of the subordinate terminal equipment, performing protocol conversion on the message by using a protocol conversion processing unit of the information resource module, uniformly encapsulating a communication protocol into the message of a specific protocol, and then sending the message to the service processing module;
the service processing module comprises: the system comprises a data result response unit, a service request forwarding unit and a data storage unit;
the data result response unit is used for sending the service processing result set file of the service assembly to the information resource module for protocol conversion processing;
the service request forwarding unit is used for receiving a service request from a user or a service request from terminal equipment and forwarding the request to the service bus module for decision operation; the service request forwarding unit is further configured to call the corresponding service component to perform service processing after receiving the decision from the service bus module;
the data storage unit is used for storing a service processing result set of the service assembly;
the service bus module includes: a load balancing decision unit and a service configuration management unit;
the load balancing decision unit is used for operating a load balancing strategy, solving an optimal load redirection scheme according to the activity number of the current service assembly after receiving the service request from the service processing module, determining which service assembly the service requested by the user is processed by and when to process, returning a decision result to the service request forwarding unit, and informing the service assembly to operate and process the service by the service request forwarding unit;
and the service configuration management unit is used for determining the number and the type of the service components configured on the service bus module in a certain time period according to the Qos of the service so as to realize the optimal load.
2. The data standardization processing system of the smart grid application scenario as claimed in claim 1, wherein the protocol conversion processing unit performs protocol conversion on the message, so that the communication protocol is uniformly encapsulated into a message of the SOAP protocol, and then the message is sent to the service processing module;
the message of the SOAP protocol comprises: letter identification, letter header, data item, error item and attachment;
the letter identification: marking the XML format document as a message of SOAP protocol;
said mail header containing a destination for the message for routing by said service processing module to one or more intermediate service components before the message can reach the destination of said service component;
the data item comprises all calling and responding information;
the error term is used for providing information about errors generated in processing the message;
the attachment is used for extending the SOAP message by adding one or more attachments.
3. The data standardized processing system of the application scene of the smart power grid according to claim 1 is characterized in that the service components are independently packaged into a single application module according to different business processing logics in the application scene of the power grid, a service external interface layer is added, and before a user calls a service, the service interface performs safety detection and fault tolerance processing, so that terminal data formats are uniformly packaged.
4. The data standardization processing system of the smart grid application scenario as recited in claim 1, wherein the service bus module comprises: a service request caching unit;
the service request caching unit is used for storing the service request which is sent by the load balancing decision unit and is not added into the flow table, and providing a service flow table entry for the next decision calculation.
5. The data standardization processing system of the smart grid application scenario as recited in claim 1, further comprising: a service request and visualization platform;
and the data result response unit is also used for sending the result set to the service request and the visualization platform for the user to check the service processing result.
6. The data standardization processing system of the smart grid application scenario according to any one of claims 1 to 5, wherein the load balancing decision unit is configured to run a load balancing policy based on an ant colony algorithm, and after receiving a service request from the service processing module, solve an optimal load redirection scheme according to the current activity number of the service components;
the ant colony algorithm takes the load condition of the service component layer as an pheromone of the ant algorithm, the reciprocal of the operation number of the redirection service components as a heuristic function, and the load unbalance degree among the service components as the path length; before the algorithm starts, the pheromone concentration and each ant are initialized, the difference of the processing capacity among the service components is considered, and the pheromone tau is processed by the load processing capacity of the service componentskiInitialization:
τki＝di；
wherein d isiDenoted as service component SiLoad processing capacity, creating ant objects comprising m multi-address service redirection flow table entries and x service components, and initializing server unbalance;
the ant colony algorithm comprises the following steps:
s1: ant random selection route (F)k，Si) The path being a flow entry FkRedirecting to service component SiAnd a search list g from the ant colony algorithm with the redirected flow entriesnDeleting the intermediate and adding the intermediate into a recovery table;
s2: ants select the multi-address service redirection flow table for service component redirection according to probability and rotation random algorithm, and at time t, the nth ant selects the flow table item FkRedirecting to service component SiThe probability calculation formula of (c) is as follows:
Figure FDA0003089913740000031
Figure FDA0003089913740000032
in the formula, τki(t) indicates that the flow table entry F is to be transmitted at time tkRedirecting to service component SiPheromone concentration of (a);
alpha is pheromone elicitor and represents the important weight of pheromone left by ants on the path; beta is an expected heuristic factor and represents an important weight of a heuristic function; etaki(t) is a heuristic function representation service component SiProcessing flow entry FkVisibility of forwarded traffic; the load balancing strategy adopts the operation number of the redirection service component to define an enlightening function:
Figure FDA0003089913740000041
s3: updating a task recovery table, searching a list and the load condition of a service component layer;
s4: each ant generates a local optimal solution; when one iteration is finished, each ant selects the solution with the minimum unbalance degree as the optimal solution according to the following formula, and the optimal solution is added into the sequence List<Fk，Si>：
Figure FDA0003089913740000042
The local optimal solution set R is as follows:
Figure FDA0003089913740000043
wherein, alpha represents the number of ants, and n represents the nth ant;
repeating the steps until the set maximum iteration times is reached, and calculating an optimal load redirection matrix:
Figure FDA0003089913740000044
if e in the matrixkiIf the value is non-zero, it means that the flow table entry F is setiLoad redirection to service component Si(ii) a If isAnd if the value is zero, the original path is maintained.
7. The data normalization processing system for smart grid application scenarios as claimed in claim 6, wherein in step S4, after the distribution is completed for each ant, the pheromone is adjusted to prevent pheromone accumulation from causing errors to the solution:
Figure FDA0003089913740000051
Figure FDA0003089913740000052
in the above formula, ρ is the pheromone dissipation degree;
Figure FDA0003089913740000053
redirecting the matching entry (F) after completing a path for ant nk，Si) Concentration of released pheromone; w is a constant and represents the total pheromone concentration released by the ant colony algorithm after one iteration.
8. The processing method of the data standardization processing platform of the application scene of the smart power grid is characterized by comprising the following steps of:
(1) a service configuration management unit of the service bus module configures a currently connected service component;
(2) a user sends a service request at equipment;
(3) a service request forwarding unit of the service processing module receives an active service request from a user or a passive service request of equipment, generates a multi-address service redirection flow table, and sends the multi-address service redirection flow table to a load balancing decision unit of the service bus module;
(4) the load balancing decision unit generates an optimal load redirection matrix based on load decision, generates a flow table item redirection service request according to the optimal load redirection matrix, and sends the flow table item to a service request forwarding unit of the service processing module;
(5) the service request forwarding unit redirects the service request according to the flow table item of the load balancing decision unit to send the corresponding flow table item, namely the service processing task, to the corresponding service component for processing;
(6) after receiving the service request, the service component receives the equipment data message uniformly packaged by the protocol conversion unit from the data result response unit, and outputs a result set file after the processing of the service logic layer is finished, and sends the result set file to the data result response unit;
(7) the data result response unit sends the result set file to the data storage unit and the service request and visualization platform for the user to check the service processing result, and simultaneously the result set file is sent to the protocol conversion processing unit of the information resource module, decapsulated and converted into a message of a corresponding protocol, and the device generates a corresponding response action according to the message.
9. The processing method of the data standardization processing platform of the smart grid application scenario according to claim 8, wherein in step (4), the load balancing decision unit generates an optimal load redirection matrix using a load decision based on an ant colony algorithm, generates a flow entry redirection service request according to the optimal load redirection matrix, and sends the flow entry to the service request forwarding unit of the service processing module;
the ant colony algorithm takes the load condition of the service component layer as an pheromone of the ant algorithm, the reciprocal of the operation number of the redirection service components as a heuristic function, and the load unbalance degree among the service components as the path length; before the algorithm starts, the pheromone concentration and each ant are initialized, the difference of the processing capacity among the service components is considered, and the pheromone tau is processed by the load processing capacity of the service componentskiInitialization:
τki＝di；
wherein d isiDenoted as service component SiCapacity to handle load, create ant object containing m multiple address service redirection flow table entries, x service components, and create a new targetAn initialization server imbalance degree;
the ant colony algorithm comprises the following steps:
s1: ant random selection route (F)k，Si) The path being a flow entry FkRedirecting to service component SiAnd a search list g from the ant colony algorithm with the redirected flow entriesnDeleting the intermediate and adding the intermediate into a recovery table;
s2: ants select the multi-address service redirection flow table for service component redirection according to probability and rotation random algorithm, and at time t, the nth ant selects the flow table item FkRedirecting to service component SiThe probability calculation formula of (c) is as follows:
Figure FDA0003089913740000061
Figure FDA0003089913740000062
in the formula, τki(t) indicates that the flow table entry F is to be transmitted at time tkRedirecting to service component SiPheromone concentration of (a);
alpha is pheromone elicitor and represents the important weight of pheromone left by ants on the path; beta is an expected heuristic factor and represents an important weight of a heuristic function; etaki(t) is a heuristic function representation service component SiProcessing flow entry FkVisibility of forwarded traffic; the load balancing strategy adopts the operation number of the redirection service component to define an enlightening function:
Figure FDA0003089913740000071
s3: updating a task recovery table, searching a list and the load condition of a service component layer;
s4: each ant generates a local optimal solution; when one iteration is finished, each ant is selected according to the following formulaSelecting the solution with the minimum unbalance degree as the optimal solution, and adding the optimal solution into the sequence List<Fk，Si>：
Figure FDA0003089913740000072
The local optimal solution set R is as follows:
Figure FDA0003089913740000073
wherein, alpha represents the number of ants, and n represents the nth ant;
repeating the steps until the set maximum iteration times is reached, and calculating an optimal load redirection matrix:
Figure FDA0003089913740000074
if e in the matrixkiIf the value is non-zero, it means that the flow table entry F is setiLoad redirection to service component Si(ii) a If the value is zero, the original path is maintained.
10. The processing method of the data standardization processing platform of the smart grid application scenario as claimed in claim 8 or 9, wherein in step (7), the protocol conversion processing unit performs protocol conversion on the message, so that the communication protocol is uniformly encapsulated into a message of the SOAP protocol, and then the message is sent to the service processing module;
the message of the SOAP protocol comprises: letter identification, letter header, data item, error item and attachment;
the letter identification: marking the XML format document as a message of SOAP protocol;
said mail header containing a destination for the message for routing by said service processing module to one or more intermediate service components before the message can reach the destination of said service component;
the data item comprises all calling and responding information;
the error term is used for providing information about errors generated in processing the message;
the attachment is used for extending the SOAP message by adding one or more attachments;
and the result set file is sent to the protocol conversion processing unit, decapsulated and converted into a corresponding protocol message, and the device generates a corresponding response action according to the message.
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