CN112055068B - Distribution method, device, terminal and storage medium of multi-agent system master control node - Google Patents

Distribution method, device, terminal and storage medium of multi-agent system master control node Download PDF

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CN112055068B
CN112055068B CN202010889630.4A CN202010889630A CN112055068B CN 112055068 B CN112055068 B CN 112055068B CN 202010889630 A CN202010889630 A CN 202010889630A CN 112055068 B CN112055068 B CN 112055068B
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mcagent
entity
lambda
agent
allocation
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CN112055068A (en
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毕锐
朱正轩
吴红斌
张震
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Hefei University of Technology
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/562—Brokering proxy services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
    • H04L41/0663—Performing the actions predefined by failover planning, e.g. switching to standby network elements

Abstract

The invention discloses a method and a device for distributing master control nodes of a multi-agent system and a storage medium, and the method comprises the following steps: s1, initializing, and acquiring McAgent allocation qualification by the entity Agent 1; s2, executing a scheduling command, and acquiring a failure rate of the McAgent; s3, judging the size of the McAgent fault rate lambda 1 and lambda, if the McAgent fault rate lambda 1 is less than lambda, returning to the step S2, and if the McAgent fault rate lambda 1 is more than lambda, executing the step S4; wherein, λ is the failure rate of the entity agent; s4, entity proxy Agent2 obtains McAgent assignment qualification and lets entity proxy Agent2 be entity proxy Agent 1. By initialization, the entity Agent1 obtains McAgent allocation qualification; executing a scheduling command to obtain the failure rate of the McAgent; and comparing the McAgent fault rate with the entity Agent fault rate, allocating the McAgent allocation qualification to the entity Agent2, and further avoiding adverse effects caused by the reduction of the working efficiency by reasonably setting the control right switching time, thereby realizing the reliable and efficient operation of the MAS system.

Description

Distribution method, device, terminal and storage medium of multi-agent system master control node
Technical Field
The invention relates to the technical field of MAS power control systems based on hybrid structures, in particular to a method, a device, a terminal and a storage medium for distributing master control nodes of a multi-agent system.
Background
The allocation of the McAgent to the master node in the MAS (Mobile Agent Server) system is generally divided into two types:
the first method is that a certain entity Agent in the MAS system always takes on the functions of the master Agent, and no alternation of control rights occurs, which is called a fixed policy. In this strategy, the master node McAgent does not switch, and the operating efficiency of the MAS system is improved, but in this case, the MAS system depends too much on a fixed master node McAgent, and when the master node McAgent fails, a certain reliability problem occurs.
The other method is a rotation method, namely the main control node McAgents are sequentially born by some entity Agent agents. The alternate distribution method can reduce the probability of the main control node fault borne by a single node, improves the reliability of the system, but reduces the running efficiency of the system at the same time when the main control node McAgent is frequently switched.
For example, the invention patent with the application number "CN 201510697248.2" discloses an improved distributed multi-agent system for micro grid multi-target energy management, which includes: at least one microgrid unit; a main container, which comprises a basic Agent, a polymerization electric Agent and an Agent platform; the basic Agent is used for making a decision, negotiating and executing the microgrid unit solution, the running time of the microgrid unit solution is defined as a decision cycle, the microgrid unit solution is asynchronously started by unpredictable events, and the completion time is dynamically adjusted; the microgrid unit is divided according to functions, and the distribution unit is used for pairing at least one type of basic Agent; each Agent container comprises a unit electric Agent and at least one basic Agent, the unit electric agents are bound with a microgrid unit, and corresponding electric information is sent to the aggregation electric agents; the basic agents are communicated with each other in an Agent protocol. However, in the patent scheme, the master control node McAgent cannot be allocated, so that the working efficiency is reduced.
Disclosure of Invention
The invention aims to solve the technical problem of reducing the operating efficiency of a MAS system caused by frequent switching of a master control node McAgent.
In order to solve the technical problems, the invention provides the following technical scheme:
a distribution method of a master control node of a multi-agent system comprises the following steps:
s1, initializing, and acquiring McAgent allocation qualification by the entity Agent 1;
s2, executing a scheduling command, generating a preset number of candidate fault rates by using preset fault characteristic logic, and selecting an McAgent fault rate from the candidate fault rates;
s3, judging the size of the McAgent fault rate lambda 1 and lambda, if the McAgent fault rate lambda 1 is less than lambda, returning to the step S2, and if the McAgent fault rate lambda 1 is more than lambda, executing the step S4;
wherein, λ is the failure rate of the entity agent;
s4, entity proxy Agent2 obtains McAgent assignment qualification and lets entity proxy Agent2 be entity proxy Agent 1.
It should be noted that, in this embodiment, the McAgent is a master control node.
Through initialization, the entity Agent1 obtains McAgent allocation qualification, then the scheduling command is executed to obtain McAgent fault rate, the comparison between the McAgent fault rate and the entity Agent fault rate is judged, when the McAgent fault rate is larger than the entity Agent fault rate, the scheduling command is continuously executed, when the McAgent fault rate is smaller than the entity Agent fault rate, the McAgent allocation qualification is allocated to the entity Agent2, the comparison between the McAgent fault rate and the entity Agent fault rate is carried out, the reasonable setting of control right switching time is realized, the adverse effect caused by the reduction of the working efficiency is avoided, and the reliable and efficient operation of the MAS system is realized.
As a further scheme of the invention: the step S1 further includes: let n be 0, and n be the scheduling number of times that has been completed in the actual operation process.
As a further scheme of the invention: the step S2 includes:
s21, when receiving the scheduling command, the McAgent completes scheduling once, where n is n + 1;
s22, randomly sampling the fault rate according to the Mcgent fault characteristics to obtain the Mcgent fault rate lambda 1 。
As a further scheme of the invention: the step S22 includes:
acquiring McAgent fault rate lambda by using formula (1) 1 The formula (1) represents a McAgent fault characteristic curve;
y＝randi(h) (1)；
wherein y represents the failure rate, randi is a function in matlab software, and randi (h) represents any natural number Z generated from 1-h natural numbers; h is a positive integer;
wherein h is length (t), t represents time, t is set as h different time intervals and corresponds to h fault rates y;
and generating any natural number Z from 1-h natural numbers by utilizing randi (h), so that the fault rate can be obtained from the y types.
As a further scheme of the invention: step S3 further includes β, β is a correction coefficient of a constant term, the magnitudes of λ 1 and λ β are determined, if λ 1< λ β, the step S2 is returned, and if λ 1 > λ β, the step S4 is executed;
wherein, λ is the failure rate of the entity agent, and β is the correction coefficient of the constant term.
As a further scheme of the invention: the beta value has a magnitude of 0< beta < 1.
As a further scheme of the invention: the process of acquiring McAgent allocation qualification by the entity Agent2 comprises the following steps: the token is passed in the McAgent's order to the logically adjacent entity Agent 2.
An allocation device based on the allocation method of the master control node of the multi-agent system comprises the following steps:
the initialization module is used for initializing, and the entity Agent1 obtains McAgent allocation qualification;
the acquisition module is used for executing the scheduling command and acquiring the failure rate of the McAgent;
the judging module is used for judging the size of the lambda 1 and the lambda, if the lambda 1 is less than the lambda, the step S2 is returned, and if the lambda 1 is more than the lambda, the step S4 is executed;
wherein, λ is the failure rate of the entity agent;
and the allocation module is used for enabling the entity Agent2 to obtain McAgent allocation qualification and enabling the entity Agent2 to be the entity Agent 1.
A distribution terminal for a multi-agent system master control node, comprising:
a processor;
a memory;
and the computer executes the program, the computer execution program is arranged in the memory, the computer execution program is executed by the processor, and the processor executes the computer execution program to realize the distribution method of the multi-agent system main control node.
A computer-readable storage medium, comprising:
a computer program stored in a computer readable storage medium;
and when the computer program runs, controlling a computer readable storage medium to execute the distribution method of the multi-agent system main control node on the external equipment.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through initialization, the entity Agent1 obtains McAgent allocation qualification, then the scheduling command is executed to obtain McAgent fault rate, and the comparison between the McAgent fault rate and the entity Agent fault rate is judged, when the McAgent fault rate is larger than the entity Agent fault rate, the scheduling command is continuously executed, when the McAgent fault rate is smaller than the entity Agent fault rate, the McAgent allocation qualification is allocated to the entity Agent2, and then the comparison between the McAgent fault rate and the entity Agent fault rate is realized, so that the reasonable setting of control right switching time is realized, the adverse effect caused by the reduction of the working efficiency is avoided, and the reliable and high-efficiency operation of the MAS system is realized.
2. The invention ensures that the time allocated by the McAgent to a certain entity agent is as long as possible, so as to prevent the time cost of control right switching caused by frequent token transmission of the token, and simultaneously, the fault rate of the entity agent is used as the basis for judging whether the token is transmitted, thereby avoiding the reliability reduction of the MAS system caused by the long-term occupation of the control right by a single entity agent.
3. According to the invention, the inequality is not easy to establish any more by multiplying the entity agent fault rate lambda by the correction coefficient beta, so that the condition that the reliability of system operation is adversely affected due to excessive switching times is avoided, the value of the correction coefficient beta can be continuously adjusted, and the correction coefficient beta meeting the system operation efficiency is designed according to the final operation result.
Drawings
Fig. 1 is a schematic flow block diagram of a method for allocating master control nodes of a multi-agent system according to embodiment 1 of the present invention;
fig. 2 is a schematic structural diagram of an allocation apparatus for a master control node of a multi-agent system according to embodiment 1 of the present invention.
Detailed Description
In order to facilitate the understanding of the technical solutions of the present invention for those skilled in the art, the technical solutions of the present invention will be further described with reference to the drawings attached to the specification.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
Example one
Referring to fig. 1, the embodiment discloses a method for distributing master control nodes of a multi-agent system, which is implemented based on a token network and includes the following steps:
s1, initializing, and acquiring McAgent allocation qualification by the entity Agent 1;
at this time, n is 0, and n is the number of scheduling times completed in the actual operation process;
wherein the scheduling means: and after the power instruction is issued, the current master control Agent receives the power instruction, and then the current master control Agent distributes the power value of the power instruction to each entity Agent according to a certain rule, namely each entity Agent determines the power generation power of the corresponding power generation unit according to the scheduling result.
S2, executing a scheduling command, generating a preset number of candidate fault rates by using preset fault characteristic logic, and selecting an McAgent fault rate from the candidate fault rates;
s21, when receiving the scheduling command, the McAgent completes scheduling once, where n is n + 1;
s22, randomly sampling the fault rate according to the Mcgent fault characteristics to obtain the Mcgent fault rate lambda 1 ；
Wherein, the McAgent fault rate lambda is obtained by using the formula (1) 1 The formula (1) represents a McAgent fault characteristic curve;
y＝randi(h) (1)；
wherein y represents the failure rate, randi is a function in matlab software, and randi (h) represents any natural number Z generated from 1-h natural numbers; h is a positive integer;
wherein h is length (t), t represents time, t is set as h different time intervals and corresponds to h fault rates y;
random number Z from 1-h natural numbers is generated by randi (h), and a fault rate can be randomly selected from y types.
S3, judging the size of the McAgent fault rate lambda 1 and lambda beta, if the McAgent fault rate lambda 1 is less than lambda beta, returning to the step S2, and if the McAgent fault rate lambda 1 is more than lambda beta, executing the step S4;
wherein, λ is the failure rate of the entity agent, β is the correction coefficient of the constant term, and the value of 0< β <1 can be determined according to the actual operation optimal state.
The inequality is not easy to establish any more by multiplying the entity agent fault rate lambda by the correction coefficient beta, so that the problem that the reliability of system operation is adversely affected due to excessive switching times is avoided, the value of the correction coefficient beta can be continuously adjusted, and the correction coefficient beta meeting the system operation efficiency is designed according to the final operation result.
S4, entity broker Agent2 obtains McAgent assignment, and lets entity broker Agent2 equal entity broker Agent 1.
Specifically, in the step, the token is sequentially transmitted according to the McAgent and is transmitted to the entity Agent2 which is adjacent logically; the entity proxy Agent2 qualifies McAgent assignments and has the entity proxy Agent2 ═ entity proxy Agent 1.
The working principle is as follows:
upon initialization, the entity Agent1 obtains McAgent assignment qualifications; executing a scheduling command to obtain the failure rate of the McAgent; and comparing the McAgent fault rate with the entity Agent fault rate, continuously executing the scheduling command when the McAgent fault rate is greater than the entity Agent fault rate, and distributing the McAgent allocation qualification to the entity Agent2 when the McAgent fault rate is less than the entity Agent fault rate, so that the adverse effect caused by the reduction of the working efficiency is avoided by reasonably setting the control right switching time, and the reliable and efficient operation of the MAS system is realized.
Example 2
An allocation apparatus of a multi-agent system master node, comprising:
the initialization module is used for initializing, and the entity Agent1 obtains McAgent allocation qualification;
the method is also used for enabling n to be 0, and the n is the scheduling times which are already completed in the actual operation process;
the acquisition module is used for executing the scheduling command and acquiring the failure rate of the McAgent;
the scheduling method is also used for completing one-time scheduling by the McAgent when a scheduling command is received, wherein n is n + 1; carrying out fault rate according to the fault characteristics of the McAgent to obtain the fault rate lambda of the McAgent 1 ；
Acquiring McAgent fault rate lambda by using formula (1) 1 The formula (1) represents a McAgent fault characteristic curve;
y＝randi(h) (1)；
wherein y represents the failure rate, randi is a function in matlab software, and randi (h) represents any natural number Z generated from 1-h natural numbers; h is a positive integer;
wherein h is length (t), t represents time, t is set as h different time intervals and corresponds to h fault rates y;
by generating an arbitrary natural number Z from 1-h natural numbers by randi (h), the failure rate can be obtained from y kinds.
A judging module for judging the size of λ 1 and λ β, if λ 1< λ β, returning to step S2, if λ 1 > λ β, executing step S4;
the method also comprises the steps that beta is a constant term correction coefficient, the sizes of lambda 1 and lambda beta are judged, if lambda 1 is less than lambda beta, the step is returned to step 2, and if lambda 1 is more than lambda beta, the step is executed to step S4;
correcting coefficient for entity proxy fault rate and beta as constant item
Wherein, λ is the failure rate of the entity agent, β is the correction coefficient of the constant term, and the value is 0< β < 1;
an allocation module, configured to qualify the McAgent allocation for the entity broker 2 and make the entity broker 2 equal to the entity broker 1;
the process of acquiring McAgent allocation qualification by the entity Agent2 comprises the following steps: the token is passed in the McAgent's order to the logically adjacent entity Agent 2.
Example 3
A distribution terminal for a multi-agent system master control node, comprising:
a processor;
a memory;
and the computer executes the program, the computer executes the program and is arranged in the memory, the computer executes the program and is executed by the processor, and the processor executes the computer executing the program to realize the distribution method of the master control node of the multi-agent system in the embodiment 1.
Example 4
A computer-readable storage medium, comprising:
a computer program stored in a computer readable storage medium;
when the computer program runs, the computer readable storage medium is controlled to execute the allocation method of the multi-agent system master control node according to embodiment 1 on the external device.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
The above-mentioned embodiments only represent embodiments of the present invention, and the scope of the present invention is not limited to the above-mentioned embodiments, and it will be apparent to those skilled in the art that various changes and modifications may be made without departing from the spirit of the present invention, and these embodiments are all within the scope of the present invention.

Claims (8)

1. A distribution method of a master control node of a multi-agent system is characterized by comprising the following steps:
s1, initializing, and acquiring McAgent allocation qualification by the entity Agent 1;
s2, when receiving the scheduling command, the McAgent completes one scheduling, and when n is n +1, executes the scheduling command, and sets t to h different time intervals by using the following logic to correspond to h candidate failure rates, so as to generate not less than 2 candidate failure rates:
h＝length(t)
wherein h is a positive integer, and t represents time;
acquiring a McAgent fault characteristic curve according to Mcgent fault characteristics to process the candidate fault rate by using the McAgent fault characteristic curve, wherein the McAgent fault characteristic curve is processed by the following logic so as to select the McAgent fault rate lambda from the y candidate fault rates 1 ：
y＝randi(h)
Wherein y represents the type of the candidate failure rate, randi is a function in matlab software, and function randi (h) represents the generation of any natural number Z from h natural numbers;
s3, judging the failure rate lambda of the McAgent 1 And the size of lambda, if the McAgent failure rate lambda 1 <Lambda, returning to the step S2, if the McAgent fault rate lambda 1 If λ, executing step S4;
wherein, λ is the failure rate of the entity agent;
s4, entity proxy Agent2 obtains the McAgent assignment qualification and makes entity proxy Agent2 equal to entity proxy Agent 1.
2. The method for allocating a master control node of a multi-agent system according to claim 1, wherein the step S1 further comprises:
let n equal to 0, and n is the number of scheduling times that has been completed in the actual operation process.
3. The method according to claim 1, wherein the step S3 further comprises determining the magnitudes of λ 1 and λ β by using β as a constant term correction factor, returning to step S2 if λ 1< λ β, and executing step S4 if λ 1 > λ β;
wherein, λ is the failure rate of the entity agent, and β is the correction coefficient of the constant term.
4. The method of claim 3, wherein the beta value is 0< beta < 1.
5. The method for allocating multi-Agent system master nodes according to claim 1, wherein the acquiring McAgent allocation qualification process by the entity Agent2 comprises:
the token is passed in the McAgent's order to the logically adjacent entity Agent 2.
6. An allocation apparatus based on the allocation method of the multi-agent system master control node according to any of claims 1 to 5, comprising:
the initialization module is used for initializing, and the entity Agent1 obtains McAgent allocation qualification;
the acquisition module is used for executing the scheduling command and acquiring the failure rate of the McAgent;
the judging module is used for judging the size of the lambda 1 and the lambda, if the lambda 1 is less than the lambda, the step S2 is returned, and if the lambda 1 is more than the lambda, the step S4 is executed;
wherein, λ is the failure rate of the entity agent;
and the allocation module is used for enabling the entity Agent2 to obtain McAgent allocation qualification and enabling the entity Agent2 to be the entity Agent 1.
7. A distribution terminal of a master control node of a multi-agent system is characterized by comprising:
a processor;
a memory;
a computer executing program, the computer executing program being disposed in the memory, the computer executing program being executed by the processor, the processor implementing the method for allocating a multi-agent system master node according to any one of claims 1 to 7 when executing the computer executing program.
8. A computer-readable storage medium, comprising:
a computer program stored in a computer readable storage medium;
controlling a computer readable storage medium to perform the method of allocation of a multi-agent system master node according to any one of claims 1-7 on an external device when the computer program is run.
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