CN116708175B - Operation and maintenance optimization scheduling method for remote information system - Google Patents
Operation and maintenance optimization scheduling method for remote information system Download PDFInfo
- Publication number
- CN116708175B CN116708175B CN202310954556.3A CN202310954556A CN116708175B CN 116708175 B CN116708175 B CN 116708175B CN 202310954556 A CN202310954556 A CN 202310954556A CN 116708175 B CN116708175 B CN 116708175B
- Authority
- CN
- China
- Prior art keywords
- maintenance
- command
- instruction
- execution
- coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 364
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000005457 optimization Methods 0.000 title claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 12
- 230000004044 response Effects 0.000 claims description 18
- 230000002159 abnormal effect Effects 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 14
- 230000003993 interaction Effects 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 8
- 230000003068 static effect Effects 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 7
- 108091006146 Channels Proteins 0.000 description 50
- 238000004891 communication Methods 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- 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
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
- H04L41/083—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability for increasing network speed
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2425—Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
- H04L47/2433—Allocation of priorities to traffic types
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a remote information system operation and maintenance optimization scheduling method, which comprises the following steps of S1: the operation and maintenance system receives operation and maintenance instruction information of the remote control terminal, analyzes the operation and maintenance instruction information and executes an operation and maintenance command corresponding to the instruction information, and analyzes the operation and maintenance instruction information and the operation and maintenance command corresponding to the execution instruction information to obtain an operation and maintenance instruction priority coefficient; s2: matching the operation and maintenance commands corresponding to the operation and maintenance command information with the channel circulation of different levels according to the operation and maintenance command priority coefficient; s3: tracking the execution state data of the operation and maintenance instruction to realize the identification of the operation state of the operation and maintenance system; the invention obtains the operation and maintenance instruction priority coefficient by processing the channel flow required by the operation and maintenance system to analyze the operation and maintenance instruction information, the time consumed by executing the operation and maintenance instruction and the network coefficient corresponding to the operation and maintenance instruction, and carries out different channel flow matching according to the operation and maintenance instruction priority coefficient, thereby improving the matching degree of the operation and maintenance system to the operation and maintenance instruction information.
Description
Technical Field
The invention relates to the technical field of remote control, in particular to an operation and maintenance optimization scheduling method of a remote information system.
Background
Remote computer network systems refer to network systems that are suitable for use in a wide area. The system has the functions of fast and reliable data transmission, shared resources, mutual collaboration among users, load balancing, scattered equipment, safety, reliability, convenience in use and the like. The network hardware is composed of computer system, data communication system and terminal equipment, and the network software includes network operation system, network communication protocol and network access mode.
A remote assisted information creation operation system and method thereof is disclosed in patent application No. 202310484952.4. Firstly, word segmentation is carried out on acquired problem text description of a user, then a context encoder is used for obtaining a problem semantic understanding feature vector, secondly, word segmentation is carried out on acquired device log data of user equipment, then a text convolutional neural network model is used for obtaining a device log semantic understanding feature vector, then the problem semantic understanding feature vector and the device log semantic understanding feature vector are fused to obtain a problem-device semantic association feature matrix, and finally, the problem-device semantic association feature matrix is used for obtaining a classification result for representing fault type labels of the user equipment through a classifier.
However, in the prior art, the flow optimization of the remote information system on the execution instruction information in the operation and maintenance process still lacks, so that the flow matching in the operation and maintenance process of the remote information system is unreasonable, and the fluency of the operation and maintenance system in executing the instruction information is poor.
Disclosure of Invention
The invention aims to provide an operation and maintenance optimization scheduling method of a remote information system, which is used for processing channel flow required by analysis of operation and maintenance instruction information of an operation and maintenance system, time consumed by execution of operation and maintenance instructions and network coefficients corresponding to the execution of the operation and maintenance instructions to obtain operation and maintenance instruction priority coefficients in the execution process of the operation and maintenance instruction information, and carrying out different channel flow matching on the operation and maintenance instruction priority coefficients in different area sections, so that the matching degree of the operation and maintenance system on the operation and maintenance instruction information is improved.
The aim of the invention can be achieved by the following technical scheme:
the operation and maintenance optimization scheduling method of the remote information system comprises the following steps:
s1: the operation and maintenance system receives operation and maintenance instruction information of the remote control terminal, analyzes the operation and maintenance instruction information and executes an operation and maintenance command corresponding to the instruction information, and analyzes the operation and maintenance instruction information and the operation and maintenance command corresponding to the execution instruction information to obtain an operation and maintenance instruction priority coefficient;
s2: matching the operation and maintenance command corresponding to the operation and maintenance command information with the channel flow of different levels according to the operation and maintenance command priority coefficient;
s3: and tracking the execution state data of the operation and maintenance instruction to realize the identification of the operation state of the operation and maintenance system.
As a further scheme of the invention: in S1, when the operation and maintenance system receives the operation and maintenance instruction information of the remote control terminal, the channel flow required by analyzing the operation and maintenance instruction information, the time consumed by executing the operation and maintenance instruction, and the network coefficient corresponding to the operation and maintenance instruction are analyzed.
As a further scheme of the invention: in S1, the process of obtaining the operation and maintenance instruction priority coefficient includes:
recording the channel flow required by analyzing the operation and maintenance instruction information as Lj;
the time spent executing the operation and maintenance command is recorded as Tf;
recording a network coefficient corresponding to the execution operation and maintenance command as Wg;
by the formulaAnd acquiring an operation and maintenance instruction priority coefficient YW, wherein a1, a2 and a3 are preset proportional coefficients, a1+a2+a3 is not equal to 0, beta is an error correction coefficient, and the value is 0.235421.
As a further scheme of the invention: the network coefficient obtaining process corresponding to the operation and maintenance command is as follows:
according to the category of the operation and maintenance instruction information, acquiring the system loss power and the system network delay rate when the system executes the same or similar operation and maintenance instruction information in the last month;
the system loss power is recorded as Pi;
recording the system network delay rate as Ri;
the system loss power Pi and the system network delay rate Ri are subjected to weight processing, and the weight proportion of the system loss power Pi is divided intoDividing the weight ratio of the system network delay rate Ri into +.>Wherein, K1 and K2 are both larger than 0;
by the formulaOperation and maintenance acquisition systemAnd obtaining a network coefficient Wg corresponding to the execution operation and maintenance command.
As a further scheme of the invention: the acquisition process of the system loss power Pi is as follows:
acquiring a differential pressure loss energy value when the operation and maintenance system operates normally and when the operation and maintenance system executes an operation and maintenance command, and marking the differential pressure loss energy value as Eq;
by the formulaCalculating a system loss power Pi, wherein +.>For correction factor +.>Taking 0.8657, tk as the temperature change coefficient of the operation and maintenance system.
As a further scheme of the invention: in S2, the flow channels of different levels comprise a primary channel flow, a secondary channel flow and a tertiary channel flow, and each channel flow corresponds to an operation and maintenance instruction priority coefficient corresponding to an operation and maintenance command executed by an operation and maintenance system;
the flow data response speed range of the three-stage channel flow is [ V1, V2 ], the flow data response speed range of the two-stage channel flow is [ V2, V3], and the flow data response speed range of the primary channel flow is (V3, V4], V1< V2< V3< V4;
as a further scheme of the invention: arranging the operation and maintenance instruction priority coefficients YW corresponding to all the operation and maintenance execution commands according to the order from large to small, and dividing the operation and maintenance instruction priority coefficients corresponding to all the operation and maintenance execution commands into three-level region segments;
the range of the operation and maintenance instruction priority coefficient value in the first-stage area section is [ YW1, YW 2);
the range of the operation and maintenance instruction priority coefficient value in the second-stage area section is [ YW2, YW3];
the range of the operation and maintenance instruction priority coefficient value in the third-stage area section is (YW 3, YW 4);
wherein YW1< YW2< YW3< YW4;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command is executed belongs to the first-stage area section, matching the flow channel for executing the operation and maintenance command into a first-stage channel flow;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command is executed belongs to the second-stage area section, matching the flow channel for executing the operation and maintenance command into a second-stage channel flow;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command belongs to the third-stage region section, the flow channel for executing the operation and maintenance command is matched into three-stage channel flow.
As a further scheme of the invention: in S3, the execution state data of the operation and maintenance instruction includes DNS resolution speed of the system to the operation and maintenance instruction, response speed of executing the operation and maintenance instruction, and interaction speed of the system when executing the operation and maintenance instruction.
As a further scheme of the invention: the DNS analysis speed of the system to the operation and maintenance instruction is recorded as Vvj;
recording the response speed of executing the operation and maintenance command as Vvx;
recording the interaction speed of the system as Vvh when executing the operation and maintenance command;
by the formulaObtaining the execution base number of the operation and maintenance system>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Taking 0.852626 as a correction coefficient;
then through the formulaAnd obtaining an execution value ZXJ of the operation and maintenance system, wherein Zv is the optimal network speed which can be achieved when the operation and maintenance system does not execute the operation and maintenance command.
As a further scheme of the invention: the preset operation and maintenance system execution value threshold is Zxjy, and the operation and maintenance system execution value ZXJ is compared with the preset operation and maintenance system execution value threshold Zxjy;
if the execution value ZXJ of the operation and maintenance system is more than or equal to the execution value threshold Zxjy of the operation and maintenance system, the operation and maintenance system is indicated to execute the operation and maintenance command normally, and an operation normal signal is generated;
if the execution value ZXJ of the operation and maintenance system is smaller than the execution value threshold Zxjy of the operation and maintenance system, the operation and maintenance system is indicated to execute abnormal operation of the operation and maintenance command, and an operation abnormal signal is generated;
when the operation and maintenance system obtains an operation abnormal signal, display early warning is carried out on the operation and maintenance system display terminal and the remote control terminal.
The invention has the beneficial effects that:
the invention obtains the operation and maintenance instruction priority coefficient in the operation and maintenance instruction information executing process by processing the channel flow required by the operation and maintenance instruction information analysis of the operation and maintenance system, the time consumed by executing the operation and maintenance instruction and the network coefficient corresponding to the operation and maintenance instruction, and identifies the operation and maintenance instruction priority coefficient, namely, the larger the channel flow required by the operation and maintenance instruction information analysis, the longer the time consumed by executing the operation and maintenance instruction and the higher the network coefficient corresponding to the operation and maintenance instruction, the smaller the corresponding operation and maintenance instruction priority coefficient, the more the time consumed by the operation and maintenance instruction and the channel flow are, thereby realizing the different channel flow matching of the operation and maintenance instruction priority coefficient in different area sections, improving the matching degree of the operation and maintenance system to the operation and maintenance instruction information, and improving the smoothness and operation and maintenance instruction executing efficiency when the operation and maintenance system executes the operation and maintenance instruction;
the invention obtains the execution base number of the operation and maintenance system by processing the DNS analysis speed of the operation and maintenance instruction, the response speed of the operation and maintenance instruction and the interaction speed of the system when the operation and maintenance instruction is executed, processes the execution base number of the operation and maintenance system and the optimal network speed when the operation and maintenance system does not have instruction information, obtains the deviation value when the operation and maintenance system executes the operation and maintenance instruction by analyzing and processing the execution value of the operation and maintenance system and the execution value threshold value of the operation and maintenance system, obtains the abnormal operation state of the operation and maintenance system by identifying the deviation degree of the deviation value, and realizes the early warning of different levels of the operation and maintenance system under different abnormal states.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention is a remote information system operation and maintenance optimization scheduling method, comprising the following steps:
step one: the operation and maintenance instruction information is received, the operation and maintenance instruction information is analyzed, operation and maintenance commands corresponding to the instruction information are executed, and operation and maintenance instruction information and operation and maintenance commands corresponding to the execution instruction information are analyzed to obtain operation and maintenance instruction priority coefficients;
step two: matching different flow channels to operation and maintenance commands corresponding to the operation and maintenance command information according to the operation and maintenance command priority coefficient;
step three: and tracking the execution state data of the operation and maintenance instruction to realize the identification of the operation state of the operation and maintenance system.
Step one, further obtaining the channel flow required by analyzing the operation and maintenance instruction information, executing the time consumed by the operation and maintenance instruction, and executing the network coefficient corresponding to the operation and maintenance instruction;
recording the channel flow required by analyzing the operation and maintenance instruction information as Lj;
the time spent executing the operation and maintenance command is recorded as Tf;
recording a network coefficient corresponding to the execution operation and maintenance command as Wg;
by the formulaAcquiring an operation and maintenance instruction priority coefficient YW, wherein a1, a2 and a3 are allThe ratio coefficient is preset, a1+a2+a3 is not equal to 0, beta is an error correction coefficient, and the value is 0.235421.
The network coefficient obtaining process corresponding to the operation and maintenance command is as follows:
according to the category of the operation and maintenance instruction information, acquiring the system loss power and the system network delay rate when the system executes the same or similar operation and maintenance instruction information in the last month;
the system loss power is recorded as Pi;
recording the system network delay rate as Ri;
the system loss power Pi and the system network delay rate Ri are subjected to weight processing, and the weight proportion of the system loss power Pi is divided intoDividing the weight ratio of the system network delay rate Ri into +.>Wherein, K1 and K2 are both larger than 0;
by the formulaAcquiring a network coefficient Wg corresponding to an operation and maintenance command executed by an operation and maintenance system;
the system network delay rate is measured by Ping command test;
the acquisition process of the system loss power comprises the following steps:
acquiring a static voltage Vc and a static current Ci during normal operation of the operation and maintenance system, multiplying the static voltage Vc and the static current Ci, integrating time to obtain working electric energy of each time period during normal operation of the operation and maintenance system, and marking the working electric energy as CEi;
the method comprises the steps of obtaining dynamic voltage Vd and dynamic current Di when an operation and maintenance system executes an operation and maintenance command, multiplying the dynamic voltage Vd and the dynamic current Di, integrating time to obtain working electric energy of each time period when the operation and maintenance system executes the operation and maintenance command, and marking the working electric energy as DEi;
the voltage difference Vq between the operation and maintenance system executing the operation and maintenance command and the operation and maintenance system normal is obtained, and the voltage difference Vq is directly integrated with time to obtain a voltage difference loss energy Eq of each time period;
by the formulaCalculating a system loss power Pi, wherein +.>For correction factor +.>Taking 0.8657, wherein Tk is the temperature change coefficient of the operation and maintenance system;
further, the temperature change coefficient of the operation and maintenance system is obtained by the following steps:
the temperature mark is T1 when the system executes the operation and maintenance command;
calculating the difference value between the temperature T1 and a preset temperature threshold T0 when the system executes the operation and maintenance command to obtain an overtemperature value and marking the overtemperature value as T2;
and directly integrating the overtemperature value T2 with time to obtain the temperature change coefficient Tk of the operation and maintenance system.
The operation and maintenance system performs flow allocation according to operation and maintenance instruction priority coefficients corresponding to the operation and maintenance execution commands, namely, the operation and maintenance instruction priority coefficients corresponding to different operation and maintenance execution commands correspond to different levels of channel flows;
the channel flows of different levels comprise a primary channel flow, a secondary channel flow and a tertiary channel flow, each channel flow corresponds to an operation and maintenance instruction priority coefficient corresponding to an operation and maintenance command executed by an operation and maintenance system, the flow data response speed range of the tertiary channel flow is [ V1, V2 ], the flow data response speed range of the secondary channel flow is [ V2, V3], and the flow data response speed range of the primary channel flow is (V3, V4), V1< V2< V3< V4;
the flow control level of the first-stage channel flow is greater than that of the second-stage channel flow, and the flow control level of the second-stage channel flow is greater than that of the third-stage channel flow;
the operation and maintenance system controls the flow of the channel flow, including but not limited to resource reservation, flow restriction, flow compression, flow merging and delay pushing;
arranging the operation and maintenance instruction priority coefficients YW corresponding to all the operation and maintenance execution commands according to the order from large to small, and dividing the operation and maintenance instruction priority coefficients corresponding to all the operation and maintenance execution commands into three-level region segments;
the range of the operation and maintenance instruction priority coefficient value in the first-stage area section is [ YW1, YW 2);
the range of the operation and maintenance instruction priority coefficient value in the second-stage area section is [ YW2, YW3];
the range of the operation and maintenance instruction priority coefficient value in the third-stage area section is (YW 3, YW 4);
wherein YW1< YW2< YW3< YW4;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command is executed belongs to the first-stage area section, matching the flow channel for executing the operation and maintenance command into a first-stage channel flow;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command is executed belongs to the second-stage area section, matching the flow channel for executing the operation and maintenance command into a second-stage channel flow;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command belongs to the third-stage region section, the flow channel for executing the operation and maintenance command is matched into three-stage channel flow.
The execution state data of the operation and maintenance instruction comprises DNS analysis speed of the system to the operation and maintenance instruction, response speed of executing the operation and maintenance command and interaction speed of the system when executing the operation and maintenance command;
the DNS analysis speed of the system to the operation and maintenance instruction is recorded as Vvj;
recording the response speed of executing the operation and maintenance command as Vvx;
recording the interaction speed of the system as Vvh when executing the operation and maintenance command;
by the formulaObtaining the execution base number of the operation and maintenance system>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Taking 0.852626 as a correction coefficient;
then through the formulaAcquiring an execution value ZXJ of the operation and maintenance system, wherein Zv is the optimal network speed which can be achieved when the operation and maintenance system does not execute an operation and maintenance command;
the preset operation and maintenance system execution value threshold is Zxjy, and the operation and maintenance system execution value ZXJ is compared with the preset operation and maintenance system execution value threshold Zxjy;
if the execution value ZXJ of the operation and maintenance system is more than or equal to the execution value threshold Zxjy of the operation and maintenance system, the operation and maintenance system is indicated to execute the operation and maintenance command normally, and an operation normal signal is generated;
if the execution value ZXJ of the operation and maintenance system is smaller than the execution value threshold Zxjy of the operation and maintenance system, the operation and maintenance system is indicated to execute abnormal operation of the operation and maintenance command, and an operation abnormal signal is generated;
when the operation and maintenance system obtains an operation abnormal signal, display early warning is carried out on the operation and maintenance system display terminal and the remote control terminal, specifically, the operation and maintenance system execution value threshold Zxjy and the operation and maintenance system execution value ZXJ are calculated as difference values, and then the percentage value (namely the deviation value) of the ratio of the obtained difference value and the operation and maintenance system execution value threshold Zxjy is taken;
when the percentage value of the obtained difference value and the execution value threshold Zxjy of the operation and maintenance system is more than or equal to 80%, generating a red alarm signal, sending the red alarm to the display terminal of the operation and maintenance system, and simultaneously sending red alarm information to the remote control terminal;
generating an orange alarm signal when the percentage value of the obtained difference value which is more than or equal to 50% and the execution value threshold Zxjy of the operation and maintenance system is less than 85%, sending the orange alarm to the display terminal of the operation and maintenance system, and simultaneously sending orange alarm information to the remote control terminal;
and generating a yellow alarm signal when the percentage value of the obtained difference value and the execution value threshold Zxjy of the operation and maintenance system is less than 50%, sending the yellow alarm to the display terminal of the operation and maintenance system, and simultaneously sending yellow alarm information to the remote control terminal.
The DNS analysis comprises the number of times of reciprocating analysis and the time spent by each analysis, and the sum of the two is the DNS analysis speed;
the response speed of executing the operation and maintenance command is the feedback speed of the operation and maintenance system to the remote terminal when executing the operation and maintenance command;
the interaction speed of the system when executing the operation and maintenance command is the operation speed of the whole operation and maintenance system when executing the operation and maintenance command.
One of the core points of the present invention is: the method comprises the steps of processing channel flow required by operation and maintenance system analysis operation and maintenance instruction information, time consumed for executing operation and maintenance instructions and network coefficients corresponding to the operation and maintenance instructions to obtain operation and maintenance instruction priority coefficients in the operation and maintenance instruction information execution process, identifying the operation and maintenance instruction priority coefficients, namely, the greater the channel flow required by operation and maintenance instruction information analysis, the longer the time consumed for executing operation and maintenance instructions, the smaller the network coefficients corresponding to the operation and maintenance instructions, the more the time consumed by operation and maintenance instructions and the channel flow are indicated, so that different channel flow matching of the operation and maintenance instruction priority coefficients in different area sections is realized, the matching of the operation and maintenance system to the operation and maintenance instruction information is improved, and the smoothness and the operation and maintenance instruction execution efficiency of the operation and maintenance system when the operation and maintenance instruction are executed are improved;
the second core point of the invention is: the method comprises the steps of processing DNS analysis speed of an operation and maintenance instruction, response speed of an operation and maintenance command execution and interaction speed of a system when the operation and maintenance command is executed to obtain an operation and maintenance system execution base number, processing the operation and maintenance system execution base number and an optimal network speed when the operation and maintenance system does not have instruction information to obtain an operation and maintenance system execution value, analyzing and processing the operation and maintenance system execution value and an operation and maintenance system execution value threshold to obtain a deviation value when the operation and maintenance system executes the operation and maintenance command, identifying the deviation degree of the deviation value to obtain abnormal operation states of the operation and maintenance system under different abnormal states, and realizing different-level early warning of the operation and maintenance system under different abnormal states.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. The operation and maintenance optimization scheduling method for the remote information system is characterized by comprising the following steps of:
s1: the operation and maintenance system receives operation and maintenance instruction information of the remote control terminal, analyzes the operation and maintenance instruction information and executes an operation and maintenance command corresponding to the instruction information, and analyzes the operation and maintenance instruction information and the operation and maintenance command corresponding to the execution instruction information to obtain an operation and maintenance instruction priority coefficient;
s2: matching the operation and maintenance command corresponding to the operation and maintenance command information with the channel flow of different levels according to the operation and maintenance command priority coefficient;
s3: tracking the execution state data of the operation and maintenance instruction to realize the identification of the operation state of the operation and maintenance system;
in S1, the process of obtaining the operation and maintenance instruction priority coefficient includes:
recording the channel flow required by analyzing the operation and maintenance instruction information as Lj;
the time spent executing the operation and maintenance command is recorded as Tf;
recording a network coefficient corresponding to the execution operation and maintenance command as Wg;
by the formulaAcquiring an operation and maintenance instruction priority coefficient YW, wherein a1, a2 and a3 are preset proportional coefficients, a1+a2+a3 is not equal to 0, beta is an error correction coefficient, and the value is 0.235421;
the network coefficient obtaining process corresponding to the operation and maintenance command is as follows:
according to the category of the operation and maintenance instruction information, acquiring the system loss power and the system network delay rate when the system executes the same or similar operation and maintenance instruction information in the last month;
the system loss power is recorded as Pi;
recording the system network delay rate as Ri;
the system loss power Pi and the system network delay rate Ri are subjected to weight processing, and the weight proportion of the system loss power Pi is divided intoDividing the weight ratio of the system network delay rate Ri into +.>Wherein, K1 and K2 are both larger than 0;
by the formulaAcquiring a network coefficient Wg corresponding to an operation and maintenance command executed by an operation and maintenance system;
the acquisition process of the system loss power Pi is as follows:
acquiring a static voltage Vc and a static current Ci during normal operation of the operation and maintenance system, multiplying the static voltage Vc and the static current Ci, integrating time to obtain working electric energy of each time period during normal operation of the operation and maintenance system, and marking the working electric energy as CEi;
the method comprises the steps of obtaining dynamic voltage Vd and dynamic current Di when an operation and maintenance system executes an operation and maintenance command, multiplying the dynamic voltage Vd and the dynamic current Di, integrating time to obtain working electric energy of each time period when the operation and maintenance system executes the operation and maintenance command, and marking the working electric energy as DEi;
the voltage difference Vq between the operation and maintenance system executing the operation and maintenance command and the operation and maintenance system normal is obtained, and the voltage difference Vq is directly integrated with time to obtain a voltage difference loss energy Eq of each time period;
by the formulaCalculating a system loss power Pi, wherein +.>For correction factor +.>Taking 0.8657, wherein Tk is the temperature change coefficient of the operation and maintenance system;
the temperature change coefficient of the operation and maintenance system is obtained by the following steps:
the temperature mark is T1 when the system executes the operation and maintenance command;
the temperature T1 and a preset temperature threshold T0 are subjected to difference value calculation when the system executes the operation and maintenance command to obtain an overtemperature value, and the overtemperature value is marked as T2;
and directly integrating the overtemperature value T2 with time to obtain the temperature change coefficient Tk of the operation and maintenance system.
2. The method for optimizing and scheduling operation and maintenance of a remote information system according to claim 1, wherein in S1, when the operation and maintenance system receives operation and maintenance instruction information of the remote control terminal, the channel flow required by the operation and maintenance instruction information, the time consumed for executing the operation and maintenance instruction, and the network coefficient corresponding to the operation and maintenance instruction are analyzed.
3. The method for optimizing and scheduling operation and maintenance of a remote information system according to claim 1, wherein in S2, the flow channels of different levels include a primary channel flow, a secondary channel flow and a tertiary channel flow, and each channel flow corresponds to an operation and maintenance instruction priority coefficient corresponding to an operation and maintenance instruction executed by an operation and maintenance system;
the flow data response speed range of the three-stage channel flow is [ V1, V2 ], the flow data response speed range of the two-stage channel flow is [ V2, V3], and the flow data response speed range of the primary channel flow is (V3, V4), wherein V1< V2< V3< V4.
4. The operation and maintenance optimization scheduling method of a remote information system according to claim 3, wherein operation and maintenance instruction priority coefficients YW corresponding to all execution and maintenance commands are arranged in a sequence from large to small, and the operation and maintenance instruction priority coefficients corresponding to all execution and maintenance commands are divided into three-level region segments;
the range of the operation and maintenance instruction priority coefficient value in the first-stage area section is [ YW1, YW 2);
the range of the operation and maintenance instruction priority coefficient value in the second-stage area section is [ YW2, YW3];
the range of the operation and maintenance instruction priority coefficient value in the third-stage area section is (YW 3, YW 4);
wherein YW1< YW2< YW3< YW4;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command is executed belongs to the first-stage area section, matching the flow channel for executing the operation and maintenance command into a first-stage channel flow;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command is executed belongs to the second-stage area section, matching the flow channel for executing the operation and maintenance command into a second-stage channel flow;
if the operation and maintenance instruction priority coefficient YW corresponding to the operation and maintenance command belongs to the third-stage region section, the flow channel for executing the operation and maintenance command is matched into three-stage channel flow.
5. The method according to claim 1, wherein in S3, the execution status data of the operation and maintenance command includes DNS resolution speed of the system to the operation and maintenance command, response speed of the operation and maintenance command, and interaction speed of the system when the operation and maintenance command is executed.
6. The method for optimizing and scheduling operation and maintenance of a remote information system according to claim 5, wherein the DNS resolution speed of the system to the operation and maintenance command is recorded as Vvj;
recording the response speed of executing the operation and maintenance command as Vvx;
recording the interaction speed of the system as Vvh when executing the operation and maintenance command;
by the formulaObtaining the execution base number of the operation and maintenance system>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>To repairTaking 0.852626 as positive coefficient;
then through the formulaAnd obtaining an execution value ZXJ of the operation and maintenance system, wherein Zv is the optimal network speed which can be achieved when the operation and maintenance system does not execute the operation and maintenance command.
7. The method for optimizing and scheduling operation and maintenance of a remote information system according to claim 6, wherein the preset operation and maintenance system execution value threshold is Zxjy, and the operation and maintenance system execution value ZXJ is compared with the preset operation and maintenance system execution value threshold Zxjy;
if the execution value ZXJ of the operation and maintenance system is more than or equal to the execution value threshold Zxjy of the operation and maintenance system, the operation and maintenance system is indicated to execute the operation and maintenance command normally, and an operation normal signal is generated;
if the execution value ZXJ of the operation and maintenance system is smaller than the execution value threshold Zxjy of the operation and maintenance system, the operation and maintenance system is indicated to execute abnormal operation of the operation and maintenance command, and an operation abnormal signal is generated;
when the operation and maintenance system obtains an operation abnormal signal, display early warning is carried out on the operation and maintenance system display terminal and the remote control terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310954556.3A CN116708175B (en) | 2023-08-01 | 2023-08-01 | Operation and maintenance optimization scheduling method for remote information system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310954556.3A CN116708175B (en) | 2023-08-01 | 2023-08-01 | Operation and maintenance optimization scheduling method for remote information system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116708175A CN116708175A (en) | 2023-09-05 |
| CN116708175B true CN116708175B (en) | 2023-10-20 |
Family
ID=87831400
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310954556.3A Active CN116708175B (en) | 2023-08-01 | 2023-08-01 | Operation and maintenance optimization scheduling method for remote information system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116708175B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106973399A (en) * | 2017-03-25 | 2017-07-21 | 努比亚技术有限公司 | A kind of data transmission disposal method and mobile terminal |
| CN107332744A (en) * | 2017-07-03 | 2017-11-07 | 网宿科技股份有限公司 | A kind of routed path system of selection and system and subscription access server |
| WO2020210779A2 (en) * | 2019-04-12 | 2020-10-15 | Futurewei Technologies, Inc. | Coded data chunks for network qualitative services |
| CN113472068A (en) * | 2021-05-24 | 2021-10-01 | 江苏源网和智能科技有限公司 | Island microgrid remote operation and maintenance method, system and storage medium |
| CN114039925A (en) * | 2021-10-28 | 2022-02-11 | 北京思特奇信息技术股份有限公司 | Priority-based dynamic flow control method in short message gateway system |
| CN115987896A (en) * | 2022-12-05 | 2023-04-18 | 中徽建技术有限公司 | Communication pipeline intelligent distribution system and method applied to communication network |
| CN116128472A (en) * | 2022-12-28 | 2023-05-16 | 福建亿山能源管理有限公司 | Power distribution room fault operation and maintenance management method and system |
-
2023
- 2023-08-01 CN CN202310954556.3A patent/CN116708175B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106973399A (en) * | 2017-03-25 | 2017-07-21 | 努比亚技术有限公司 | A kind of data transmission disposal method and mobile terminal |
| CN107332744A (en) * | 2017-07-03 | 2017-11-07 | 网宿科技股份有限公司 | A kind of routed path system of selection and system and subscription access server |
| WO2020210779A2 (en) * | 2019-04-12 | 2020-10-15 | Futurewei Technologies, Inc. | Coded data chunks for network qualitative services |
| CN113472068A (en) * | 2021-05-24 | 2021-10-01 | 江苏源网和智能科技有限公司 | Island microgrid remote operation and maintenance method, system and storage medium |
| CN114039925A (en) * | 2021-10-28 | 2022-02-11 | 北京思特奇信息技术股份有限公司 | Priority-based dynamic flow control method in short message gateway system |
| CN115987896A (en) * | 2022-12-05 | 2023-04-18 | 中徽建技术有限公司 | Communication pipeline intelligent distribution system and method applied to communication network |
| CN116128472A (en) * | 2022-12-28 | 2023-05-16 | 福建亿山能源管理有限公司 | Power distribution room fault operation and maintenance management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116708175A (en) | 2023-09-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108985632A (en) | A kind of electricity consumption data abnormality detection model based on isolated forest algorithm | |
| EP3691189A1 (en) | Method, apparatus and device for predicting fault of optical module | |
| CN107809331A (en) | The method and apparatus for identifying abnormal flow | |
| US20180322370A1 (en) | Method and apparatus of discovering bad case based on artificial intelligence, device and storage medium | |
| CN115442375B (en) | Property digital management system based on cloud edge cooperation technology | |
| US20210109140A1 (en) | Method for identifying parameters of 10 kv static load model based on similar daily load curves | |
| CN112087334B (en) | Alarm root cause analysis method, electronic device and storage medium | |
| CN111460887B (en) | Optical cable monitoring and analyzing system based on Internet of things | |
| CN106682835B (en) | Data-driven complex electromechanical system service quality state evaluation method | |
| CN109102157A (en) | A kind of bank's work order worksheet processing method and system based on deep learning | |
| CN113408202B (en) | Flow baseline model construction method for transformer substation core industrial control service | |
| CN112923523A (en) | Intelligent fresh air system regulation and control method based on data link of Internet of things | |
| CN113050445A (en) | Voice control system for smart home | |
| CN108989092A (en) | A kind of wireless network predicting method, electronic equipment and storage medium | |
| CN116708175B (en) | Operation and maintenance optimization scheduling method for remote information system | |
| CN111044845A (en) | Power distribution network accident identification method and system based on Apriori algorithm | |
| CN115730749B (en) | Power dispatching risk early warning method and device based on fusion power data | |
| CN117236665A (en) | Material production scheduling optimization method and system | |
| CN110245168B (en) | Method and system for extracting abnormal event characteristic signals in power grid historical alarm | |
| CN114760215B (en) | Method and system for monitoring data transmission performance of computer network | |
| CN106815772A (en) | Electric power data report method and device | |
| CN114422515B (en) | Edge computing architecture design method and system suitable for power industry | |
| CN111812433B (en) | Safety event wave recording method, equipment and system | |
| CN114996930A (en) | Modeling method and device, electronic equipment and storage medium | |
| CN117156625B (en) | LED lamp strip adjusting control system and method based on electric data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |