CN117914758A - Full-link monitoring method and system for intelligently measuring complex service scene - Google Patents
Full-link monitoring method and system for intelligently measuring complex service scene Download PDFInfo
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Abstract
The invention discloses a full-link monitoring method and system for intelligently measuring complex service scenes, and relates to the technical field of power grids. Establishing a virtual model of an intelligent measurement system by utilizing a digital twin technology so as to simulate and monitor key business scenes; the data packet grabbing and analyzing technology is utilized to quickly locate service processing faults, and system abnormal conditions are timely found and analyzed; adding buried point codes at key nodes of the system, and collecting service processing indexes to evaluate processing efficiency and analyze system bottlenecks; based on the monitoring result, parameter adjustment, disaster recovery design and algorithm optimization are adopted to continuously improve the accuracy, response speed and reliability of the system. The invention carries out full-link simulation and monitoring based on digital twin thinking, can discover and solve potential problems in advance, and improves the reliability and stability of the system.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a full-link monitoring method and system for intelligently measuring complex service scenes.
Background
The intelligent measuring system of the measuring center is an important component of the power system, has important influence on the running state of the power system, and is also a key link of electric power market transaction. With the wide use of new energy and the continuous expansion of the electric market, the complexity and importance of the intelligent measuring system of the measuring center are increasing.
Although the existing intelligent measuring system has certain monitoring and data analysis capability, an effective full-link monitoring method is still lacking. The full-link monitoring is a way for carrying out comprehensive and systematic monitoring on the whole system operation flow, and can rapidly and accurately locate the reasons of unsuccessful issuing of the charge control instruction and the time-sharing electricity price rate. Due to the lack of the full-link monitoring method, abnormal processing is not timely and accurate, and stability and reliability of a power system are further affected.
Disclosure of Invention
The invention is provided in view of the problems of untimely and inaccurate exception handling caused by the lack of an effective full-link monitoring method of the existing intelligent measurement system, which can not quickly and accurately locate the reasons of unsuccessful issuing of the fee control instruction and the time-of-use electricity price rate.
The problem to be solved by the present invention is therefore how to quickly and accurately locate the reasons for unsuccessful issuing of the fee control instructions and the time-of-use electricity rates.
In order to solve the technical problems, the invention provides the following technical scheme:
In a first aspect, an embodiment of the present invention provides a full link monitoring method for intelligently measuring complex service scenarios, which includes establishing a virtual model of an intelligent measurement system by using a digital twin technology to simulate and monitor key service scenarios; the data packet grabbing and analyzing technology is utilized to quickly locate service processing faults, and system abnormal conditions are timely found and analyzed; adding buried point codes at key nodes of the system, and collecting service processing indexes to evaluate processing efficiency and analyze system bottlenecks; based on the monitoring result, parameter adjustment, disaster recovery design and algorithm optimization are adopted to continuously improve the accuracy, response speed and reliability of the system; and establishing a dynamic closed loop flow of monitoring, analyzing, optimizing and verifying, and continuously improving the intelligent level of the intelligent measuring system.
As a preferable scheme of the full-link monitoring method for intelligently measuring complex service scenes, the invention comprises the following steps: the method for establishing the virtual model of the intelligent measurement system by utilizing the digital twin technology comprises the following steps: determining each simulation and monitoring target including a command issuing state of special change fee control, an execution result of time-of-use electricity price and an application process of new energy access; the framework for constructing the digital twin model according to the simulation target comprises an intelligent measurement master station, a terminal, a fee control instruction, time-of-use electricity price information and a new energy access application, and a mapping relation between the intelligent measurement master station, the terminal, the fee control instruction and the new energy access application is defined; defining a corresponding simulation flow for each simulation target, and realizing simulation logic of each link according to the defined simulation flow; if the information of the charge control instruction, the time-of-use electricity price and the new energy access process needs to be monitored, adding a corresponding monitoring function into the digital twin model to acquire and record related data and states in real time; if the data interaction between the digital twin model and the actual system is required to be realized, establishing data transmission connection through an interface or a protocol so as to ensure the data synchronization and interaction between the digital twin model and the actual system; verifying whether the digital twin model can accurately reflect the running state and interaction relation of the actual system through simulating the running process of the actual system; during the verification process, if any deviation or inconsistency is found, optimization and improvement is performed.
As a preferable scheme of the full-link monitoring method for intelligently measuring complex service scenes, the invention comprises the following steps: the simulation flow comprises the following contents: for special change fee control, the simulated marketing system submits fee control instructions, the intelligent measurement master station receives the fee control instructions, writes the fee control instructions into a database and sends the fee control instructions to a trans-regional transmission server link, and timely discovers and solves the problem of failure in executing the fee control instructions by monitoring the issuing state and executing result of the fee control instructions in real time; for time-sharing electricity prices, simulating the configuration, release and execution links of the electricity prices, and timely finding and solving the problem of unsuccessful electricity price release by monitoring the electricity price release state and the execution result in real time; for new energy access, the access application, approval and grid connection links of the new energy are simulated, and the problem of the new energy access is discovered and solved in time by monitoring the access state and the execution result in real time.
As a preferable scheme of the full-link monitoring method for intelligently measuring complex service scenes, the invention comprises the following steps: the rapid positioning service processing fault by utilizing the data packet grabbing and analyzing technology comprises the following contents: if the data packet has the conditions of wrong price value, invalid code, mismatching with system configuration or inconsistent with other data packets of the time-sharing electricity price rate successfully issued, judging that the issuing of a certain time-sharing electricity price rate is unsuccessful due to the price setting error; if the protocol or the data format in the data packet is inconsistent with the expected protocol or the data format, judging that the analysis fails due to the incompatible protocol or format; if the operation is refused or the wrong information of the authority problem exists in the data packet, judging that the operation is refused due to the insufficient authority or authentication failure; if the data packet has configuration related error information or data content errors, judging that the operation is unsuccessful due to the configuration errors; if the response of the equipment is not received or the communication is overtime in the data packet, judging that the network connection fault exists; if the error information or the abnormal state code returned by the equipment exists in the data packet, the equipment is judged to have faults.
As a preferable scheme of the full-link monitoring method for intelligently measuring complex service scenes, the invention comprises the following steps: the method comprises the steps of utilizing a data packet grabbing and analyzing technology to rapidly locate service processing faults, checking price values in data packets to verify whether time-sharing electricity price rate codes are valid or not if the price setting errors result in unsuccessful issuing of certain time-sharing electricity price rates, comparing whether the time-sharing electricity price rate setting in the data packets is consistent with system configuration or not, and simultaneously confirming whether the data packets are consistent with other successfully issued time-sharing electricity price rate data packets or not; if the incompatible protocol or format causes analysis failure, checking whether the protocol and the data format in the data packet are consistent with the expected protocol and format, judging whether a parser or a parsing algorithm used in the parsing process is compatible with the protocol and the format of the data packet, and carrying out proper protocol and format compatibility adjustment or conversion; if the operation is refused due to insufficient authority or authentication failure, verifying whether the authority required by the operation is correctly configured, confirming whether the authentication information is valid and correctly provided, and verifying potential identity verification errors, authority configuration problems or security setting limits; if the configuration error causes unsuccessful operation, checking configuration related information in the data packet, checking the consistency of data content in the data packet and expected configuration, repairing or adjusting the configuration error, and re-issuing or updating corresponding configuration information; if the network connection fails, checking whether the network connection normally comprises the network connection state of the equipment and a communication link connected with the equipment, and checking possible network equipment failure, network topology problems, transport layer protocol setting or network configuration problems; if the equipment itself has faults, fault diagnosis and investigation are carried out through error information or abnormal state codes returned by the equipment, and the equipment is cooperated with equipment suppliers or maintenance personnel to carry out equipment fault repair or replacement.
As a preferable scheme of the full-link monitoring method for intelligently measuring complex service scenes, the invention comprises the following steps: adding a buried point code at a key node of a system comprises the following steps: according to actual conditions, an information collection code is explicitly added at a designated key node, and service processing information to be collected is explicitly conducted for each key node; developing corresponding information collecting codes according to the determined key nodes and the service processing information to be collected; integrating the developed information collecting codes into a system of key nodes, and cooperating with a system developer or maintainer to ensure that the codes run correctly and collect correct information; after integrating the information collecting codes, testing and verifying to ensure that the codes can work normally and collect correct business processing information; deploying the tested and verified information collection codes into a production environment, and monitoring the information collection codes in real time to ensure that the codes can normally run, and recording and reporting key business processing information; according to the collected business processing information, analyzing and evaluating the distribution of the request processing time, classifying the abnormal description information and solving the problem; optimizing and improving the system according to the analysis result, including improving system performance, optimizing instruction transmission mechanism and perfecting exception handling; the key node comprises an instruction execution request link, an instruction downlink message cross-region transmission link, an instruction acquisition pre-processing link, a terminal instruction execution link, an instruction acquisition pre-processing return message acquisition link, an execution result uplink message cross-region transmission link and an instruction execution result feedback link.
As a preferable scheme of the full-link monitoring method for intelligently measuring complex service scenes, the invention comprises the following steps: the business process information explicitly to be collected includes the following: if the request link is executed by the instruction, collecting request sending time, request content, request initiator identification information, request priority index and expected response time; if the downlink message is instructed to cross the transmission link, collecting the message generation time, the message content, the source and receiver addresses, the transmission path, the transmission time, the link flow and the confirmation of the reception; if the pre-processing instruction link is acquired, collecting instruction arrival time, instruction content, instruction source, processing priority, processing strategy, processing duration, processing result and output message; if the instruction link is executed at the terminal, collecting instruction receiving time, execution starting/ending time, instruction content, execution flow data, final execution state and output result; if the link of processing the return message before acquisition is performed, collecting an original instruction identifier, the generation time, the content, the processing timeliness index, the output channel and the sending confirmation of the return message; if the uplink message cross-region transmission link is executed, collecting a source address, a destination address, message generation time, content characteristics, a transmission path, time delay parameters and a confirmation mechanism; if the instruction execution result feedback link is in, collecting original instruction identification information, feedback time, feedback content, processing effect evaluation parameters and receiving confirmation response.
In a second aspect, an embodiment of the present invention provides an all-link monitoring system for intelligently measuring complex service scenarios, which includes a simulation module for establishing a virtual model of the intelligent measurement system by using a digital twin technology to simulate and monitor key service scenarios; the positioning module is used for rapidly positioning the service processing faults by utilizing a data packet grabbing and analyzing technology and timely finding and analyzing the abnormal conditions of the system; the embedded point module is used for adding embedded point codes to key nodes of the system and collecting service processing indexes to evaluate the processing efficiency and analyze the bottleneck of the system; and the optimization module is used for continuously improving the accuracy, response speed and reliability of the system by adopting parameter adjustment, disaster recovery design and algorithm optimization based on the monitoring result.
In a third aspect, embodiments of the present invention provide a computer apparatus comprising a memory and a processor, the memory storing a computer program, wherein: the computer program instructions, when executed by a processor, implement the steps of the full link monitoring method for intelligently measuring complex traffic scenarios according to the first aspect of the present invention.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: the computer program instructions, when executed by a processor, implement the steps of the full link monitoring method for intelligently measuring complex traffic scenarios according to the first aspect of the present invention.
The invention has the beneficial effects that: the invention carries out full-link simulation and monitoring based on digital twin thinking, can discover and solve potential problems in advance, and improves the reliability and stability of the system; the port flow mirror function of the switch is utilized, so that data packets can be quickly acquired and analyzed, and quick positioning and processing of abnormality are realized; the information collection codes are added at the key nodes, so that more comprehensive service processing information can be obtained, and the data delay condition and the instruction execution failure condition can be conveniently analyzed; the method of the invention has universality and can be suitable for different types of intelligent measurement systems and network environments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for intelligently measuring a full link monitoring method of a complex service scene.
Fig. 2 is a diagram of a computer device for a full link monitoring method for intelligently measuring complex traffic scenarios.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
Referring to fig. 1-2, a first embodiment of the present invention provides a full link monitoring method for intelligently measuring complex traffic scenarios, which includes,
S1: and establishing a virtual model of the intelligent measurement system by utilizing a digital twin technology so as to simulate and monitor key business scenes and realize real-time evaluation of system performance.
Preferably, the whole process of special change fee control, time-of-use electricity price and new energy access is simulated and monitored by means of a digital twin model and a port flow mirror function of the switch, and meanwhile, the interactive data packet between the intelligent measurement master station and the terminal is obtained.
It should be noted that, the process of constructing a digital twin model to simulate and monitor the special transformer cost control, the time-of-use electricity price and the new energy access is as follows: determining each simulation and monitoring target including a command issuing state of special change fee control, an execution result of time-of-use electricity price and an application process of new energy access; the framework for constructing the digital twin model according to the simulation target comprises core elements such as an intelligent measurement master station, a terminal, a fee control instruction, time-of-use electricity price information, a new energy access application and the like, and a mapping relation among the core elements is defined; defining a corresponding simulation flow for each simulation target, and realizing simulation logic of each link according to the defined simulation flow; if the information of the charge control instruction, the time-of-use electricity price and the new energy access process needs to be monitored, adding a corresponding monitoring function into the digital twin model to acquire and record related data and states in real time; if the data interaction between the digital twin model and the actual system is required to be realized, establishing data transmission connection through an interface or a protocol so as to ensure the data synchronization and interaction between the digital twin model and the actual system; verifying whether the digital twin model can accurately reflect the running state and interaction relation of the actual system through simulating the running process of the actual system; during the verification process, if any deviation or inconsistency is found, optimization and improvement is performed.
Specifically, for special fee change control, the simulated marketing system submits fee control instructions, the intelligent measurement master station receives the fee control instructions, writes the fee control instructions into a database and sends the fee control instructions to the transregional transmission server and the like, and timely discovers and solves the problem of failure in executing the fee control instructions by monitoring the issuing state and executing result of the fee control instructions in real time; for time-sharing electricity prices, simulating links such as configuration, release, execution and the like of the electricity prices, and timely finding and solving the problem of unsuccessful electricity price release by monitoring the electricity price release state and the execution result in real time; for new energy access, links such as access application, approval and grid connection of new energy are simulated, and the problem of new energy access is discovered and solved in time by monitoring the access state and the execution result in real time.
It should be noted that, after the simulation flow is defined, simulation logic of each link needs to be implemented. For example, in the link of paying fee control instruction of the special fee control marketing system, the operation process of the analog marketing system includes inputting fee control instruction, executing submission and other operations; in the configuration link of the time-sharing electricity price, the configuration process of the electric power system needs to be simulated comprises the steps of setting the type of the electricity price, setting the corresponding price and the like; in the application link of new energy access, the application process of a new energy enterprise needs to be simulated, including links of application submission, approval waiting and the like; the operation and the behavior of the real system are simulated by using a proper algorithm, model or rule in the simulation logic of each link, so as to ensure that the digital twin model can accurately reflect various conditions and results in the actual process.
Furthermore, through the steps, a digital twin model for special charge control simulation and monitoring, time-of-use electricity price simulation and monitoring and new energy access simulation and monitoring can be designed, and the model can realize full-link simulation and monitoring of an actual system, discover and solve various problems in time and improve the running efficiency and stability of the system.
S2: and (3) rapidly positioning service processing faults by utilizing a data packet grabbing and analyzing technology, and timely finding and analyzing abnormal conditions of the system.
Specifically, the method comprises the following steps:
S2.1: all data packets interacted between the intelligent measurement master station and the terminal are acquired through a twinning acquisition front-end analysis server.
The data includes the key information such as fee control instruction, time-of-use electricity price information, new energy access application and the like.
S2.2: and the analysis server analyzes the acquired data packet and extracts key information in the data packet by utilizing network protocol knowledge and data structure understanding capability.
Preferably, the information such as the number, content, time and the like of the fee control instruction, and the information such as the type, price, effective time and the like of the time-of-use electricity price are analyzed.
S2.3: and analyzing the server according to the result of the backtracking analysis, finding out abnormal conditions in time and generating corresponding processing suggestions.
Further, by analyzing and backtracking the acquired data packet, the reasons for unsuccessful issuing of the fee control instruction and the time-of-use electricity price rate can be rapidly and accurately located, including but not limited to the following cases: if the data packet has the conditions of wrong price value, invalid code, mismatching with system configuration or inconsistent with other data packets of the time-sharing electricity price rate successfully issued, judging that the issuing of a certain time-sharing electricity price rate is unsuccessful due to the price setting error; if the protocol or the data format in the data packet is inconsistent with the expected protocol or the data format, judging that the analysis fails due to the incompatible protocol or format; if the operation is refused or the wrong information of the authority problem exists in the data packet, judging that the operation is refused due to the insufficient authority or authentication failure; if the data packet has configuration related error information or data content errors, judging that the operation is unsuccessful due to the configuration errors; if the response of the equipment is not received or the communication is overtime in the data packet, judging that the network connection fault exists; if the error information or the abnormal state code returned by the equipment exists in the data packet, the equipment is judged to have faults.
Further, if the price setting error causes unsuccessful issuing of a certain time-sharing electricity price rate, checking price values in the data packet to verify whether the time-sharing electricity price rate codes are valid, comparing whether the time-sharing electricity price rate setting in the data packet is consistent with the system configuration, and simultaneously, confirming whether the data packet is consistent with other time-sharing electricity price rate data packets which are successfully issued; if the incompatible protocol or format causes analysis failure, checking whether the protocol and the data format in the data packet are consistent with the expected protocol and format, judging whether a parser or a parsing algorithm used in the parsing process is compatible with the protocol and the format of the data packet, and carrying out proper protocol and format compatibility adjustment or conversion; if the operation is refused due to insufficient authority or authentication failure, verifying whether the authority required by the operation is correctly configured, confirming whether the authentication information is valid and correctly provided, and verifying potential identity verification errors, authority configuration problems or security setting limits; if the configuration error causes unsuccessful operation, checking configuration related information in the data packet, checking the consistency of data content in the data packet and expected configuration, repairing or adjusting the configuration error, and re-issuing or updating corresponding configuration information; if the network connection fails, checking whether the network connection normally comprises the network connection state of the equipment and a communication link connected with the equipment, and checking possible network equipment failure, network topology problems, transport layer protocol setting or network configuration problems; if the equipment itself has faults, fault diagnosis and investigation are carried out through error information or abnormal state codes returned by the equipment, and the equipment is cooperated with equipment suppliers or maintenance personnel to carry out equipment fault repair or replacement.
S2.4: the analysis server feeds back the abnormal situation and the processing advice to the corresponding responsible person so as to help them to know the problem in time and take corresponding processing measures.
It should be noted that the parsing process of the fee control instruction includes: acquiring a data packet containing a fee control instruction from a network, and receiving and processing the data packet; the analysis server analyzes the received data packet, and splits, reorganizes and extracts key information in the data packet; extracting specific content of the instruction (such as operation on specific metering equipment, modification of metering parameters and the like) from the parsed data packet, and converting the extracted instruction content into an operable command format; the converted instruction is sent to corresponding equipment or a system, so that corresponding operation or change is carried out according to the instruction; after the instruction execution is completed, feeding back an execution result to an analysis server, and recording the execution condition of the instruction, wherein the execution condition comprises recording of successful execution and processing of execution failure; if the execution fails, further analysis is performed to determine the failure reason, and corresponding measures are taken for processing.
S3: and adding buried point codes at key nodes of the system, and collecting service processing indexes to evaluate the processing efficiency and analyze the bottleneck of the system.
Specifically, the method comprises the following steps:
S3.1: and adding corresponding information collecting codes at key nodes for transmitting special change fee control, time-sharing electricity price and new energy access configuration instructions.
Specifically, these codes should record service processing information such as request reception time, request processing result (status code), processing result information (abnormality description information), and the like.
Further, adding the information collecting code includes the steps of: according to actual conditions, an information collecting code is definitely added at a designated key node, wherein the key node comprises an instruction execution request link, an instruction downlink message trans-regional transmission link, a pre-processing instruction acquisition link, a terminal instruction execution link, a pre-processing return message acquisition link, an execution result uplink message trans-regional transmission link and an instruction execution result feedback link; for each key node, clearly requiring to collect service processing information; developing corresponding information collecting codes according to the determined key nodes and the service processing information to be collected; integrating the developed information collecting codes into a system of key nodes, and cooperating with a system developer or maintainer to ensure that the codes run correctly and collect correct information; after integrating the information collecting codes, testing and verifying to ensure that the codes can work normally and collect correct business processing information; deploying the tested and verified information collection codes into a production environment, and monitoring the information collection codes in real time to ensure that the codes can normally run, and recording and reporting key business processing information; according to the collected business processing information, analyzing and evaluating the distribution of the request processing time, classifying the abnormal description information and solving the problem; optimizing and improving the system according to the analysis result comprises improving the system performance, optimizing the instruction transmission mechanism and perfecting exception handling.
Preferably, explicitly what traffic handling information needs to be collected includes the following cases: if the request link is executed by the instruction, collecting request sending time, request content, request initiator identification information, request priority index and expected response time; if the downlink message is instructed to cross the transmission link, collecting the message generation time, the message content, the source and receiver addresses, the transmission path, the transmission time, the link flow and the confirmation of the reception; if the pre-processing instruction link is acquired, collecting instruction arrival time, instruction content, instruction source, processing priority, processing strategy, processing duration, processing result and output message; if the instruction link is executed at the terminal, collecting instruction receiving time, execution starting/ending time, instruction content, execution flow data, final execution state and output result; if the link of processing the return message before acquisition is performed, collecting an original instruction identifier, the generation time, the content, the processing timeliness index, the output channel and the sending confirmation of the return message; if the uplink message cross-region transmission link is executed, collecting a source address, a destination address, message generation time, content characteristics, a transmission path, time delay parameters and a confirmation mechanism; if the instruction execution result feedback link is in, collecting original instruction identification information, feedback time, feedback content, processing effect evaluation parameters and receiving confirmation response.
It is noted that in the addition of the information collecting code, it is ensured that the performance and stability of the system are not negatively affected, while the corresponding security and privacy protection regulations are followed, ensuring that the collected information is not accessed and used by unauthorized third parties.
S3.2: when the key node receives the configuration instruction request, the information collection code records the current time as the request receiving time.
It should be noted that this time is used to measure the delay of command transmission and the response speed of the system.
S3.3: when a key node processes a request, the information collecting code records the time when the processing starts and ends to calculate the request processing time.
It should be noted that this time is used to evaluate the processing power and efficiency of the system.
S3.4: and the key node processes the configuration instruction and returns a processing result.
Specifically, the information collecting code needs to record the status code of the processing result for subsequent analysis and troubleshooting. In addition to recording state codes, the information collection code also needs to record exception description information that is used to describe the exception condition and cause when the processing result is abnormal to help quickly locate the problem.
S3.5: and storing and analyzing the information collected in the service processing to obtain useful information about service operation.
Preferably, system performance is optimized by analyzing the distribution of request processing times, while improving system design and avoiding reoccurrence of similar problems by analyzing anomaly descriptive information.
S4: based on the monitoring result, parameter adjustment, disaster recovery design and algorithm optimization are adopted to continuously improve the accuracy, response speed and reliability of the system.
In the intelligent measurement system, accuracy, response speed and reliability of the monitored data are important indicators of system stability and reliability.
Specifically, to ensure the accuracy of the monitored data, the following specific measures are required: calibrating and maintaining the monitoring equipment regularly to ensure that the measurement accuracy of the equipment is within a specified range; periodically checking whether the data transmission line is unblocked so as to prevent interference and loss in the data transmission process; analyzing and evaluating the monitoring data collected in real time, finding abnormal data in time, and carrying out corresponding processing and correction; parameters and configuration in the data acquisition and transmission process are timely adjusted according to the accuracy condition of the monitoring data, so that the quality and reliability of the data are improved.
Further, in order to increase the response speed of the system, the following specific measures are needed: optimizing a data storage and query algorithm to improve data access speed and efficiency; high-performance hardware equipment is adopted, so that the processing capacity and response speed of the system are improved; performing performance test and evaluation on the system regularly, and finding and solving the bottleneck problem of the system in time; and adjusting system parameters and configuration in time according to the condition of the response speed of the system so as to improve the performance and reliability of the system.
Further, in order to improve the reliability of the system, the following measures are required: the high-reliability hardware equipment and network connection are adopted, so that the probability of system faults is reduced; the backup and disaster recovery design is carried out on the system, so that the system can be quickly recovered under the fault condition; periodically maintaining and checking the system, and timely finding and processing potential problems; and the system parameters and configuration are timely adjusted and optimized according to the reliability condition of the system, so that the stability and reliability of the system are improved.
S5: and establishing a dynamic closed loop flow of monitoring, analyzing, optimizing and verifying, and continuously improving the intelligent level of the intelligent measuring system.
Furthermore, the embodiment also provides a full-link monitoring system for intelligently measuring complex service scenes, which comprises an analog module, a control module and a control module, wherein the analog module is used for establishing a virtual model of the intelligent measuring system by utilizing a digital twin technology so as to simulate and monitor key service scenes; the positioning module is used for rapidly positioning the service processing faults by utilizing a data packet grabbing and analyzing technology and timely finding and analyzing the abnormal conditions of the system; the embedded point module is used for adding embedded point codes to key nodes of the system and collecting service processing indexes to evaluate the processing efficiency and analyze the bottleneck of the system; and the optimization module is used for continuously improving the accuracy, response speed and reliability of the system by adopting parameter adjustment, disaster recovery design and algorithm optimization based on the monitoring result.
The embodiment also provides a computer device, which is suitable for the condition of the full-link monitoring method for intelligently measuring the complex service scene, and comprises a memory and a processor; the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions to realize the full-link monitoring method for intelligently measuring the complex service scene as proposed by the embodiment.
The computer device may be a terminal comprising a processor, a memory, a communication interface, a display screen and input means connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
The present embodiment also provides a storage medium, on which a computer program is stored, which when executed by a processor, implements a full-link monitoring method for implementing intelligent measurement of complex service scenarios as proposed in the above embodiment.
In summary, the invention carries out full-link simulation and monitoring based on digital twin thinking, can discover and solve potential problems in advance, and improves the reliability and stability of the system; the port flow mirror function of the switch is utilized, so that data packets can be quickly acquired and analyzed, and quick positioning and processing of abnormality are realized; the information collection codes are added at the key nodes, so that more comprehensive service processing information can be obtained, and the data delay condition and the instruction execution failure condition can be conveniently analyzed; the method of the invention has universality and can be suitable for different types of intelligent measurement systems and network environments.
Example 2
Referring to fig. 1 to 2, in order to verify the beneficial effects of the present invention, a second embodiment of the present invention provides a full link monitoring method for intelligently measuring complex service scenarios, and scientific demonstration is performed through economic benefit calculation and simulation experiments.
Furthermore, an intelligent measuring system is applied to a plurality of city areas governed by a provincial power company, a digital twin model which comprises a measuring central station and an intelligent ammeter as core elements is built, and a simulation model of two typical service scenes of special charge control and time-of-use electricity price is built. In addition, specific simulation monitoring targets for the processes of issuing fee control instructions, executing electricity prices and the like are explicitly set; the complete simulation flow from the generation of the fee control instructions to the final execution of the feedback and the data interaction interface with the actual system are defined in detail.
Specifically, the number of the metering central stations participating in the digital twin modeling is 5, the corresponding intelligent ammeter covers about 100 ten thousand total households, and the straight line radius from the office place of the district and city of the jurisdiction is within 50 km. The daily peak flow of the conventional charge control instruction can reach 3 ten thousand pieces/hour. In addition, the arranged analog monitoring points cover metering center stations, important high-power users and high-voltage substations on the power supply side.
Furthermore, network data packet analysis equipment of Siemens company is adopted, and all-weather packet capturing of charge control instruction data flow and time-sharing electricity price update data flow is realized by the equipment through a mode of setting monitoring points in an optical fiber ring network on a core network node. According to statistics, the device captures and extracts about 20 ten thousand fee control instruction messages and 1 ten thousand time-sharing electricity price update messages only for 3 months and 20 days. The success resolution and classification accuracy of the fee control instruction message can reach 95%.
Further, for two kinds of messages with failed analysis, the device automatically starts corresponding network protocol matching and message authentication checking function modules so as to find out the failure reason. Finally, the related processing suggestions are actively fed back to departments such as a provincial power dispatching command center, each city level metering center station, a marketing service center and the like by the equipment, and the departments also feed back subsequent processing results in time.
Preferably, the information collecting code is added at a key node of the transmission of the special change fee control instruction: adding code embedded points at key nodes of a sending end, a receiving end and an executing end, and recording information such as sending time, receiving time and processing time of a request; when a special fee-changing control instruction is received, the code embedded point of the receiving end records the receiving time and reports the receiving time to the monitoring center; when the processing end processes the instruction, the code embedded point records the time for starting and ending the processing and calculates the time spent in the processing; if the processing fails, recording failure reasons and abnormal description information; the processing result is returned to the transmitting end, and meanwhile, the related data in the processing process are reported to the monitoring center; the monitoring center can monitor and analyze the collected data in real time, including distribution of the request processing time, classification of the anomaly description information and the like.
Preferably, the information collecting code module is successfully deployed and put into each key service processing site, and the operation state is good. As can be seen from the statistics, the average duration of each metering center station for processing the fee control instruction request is in the order of 0.8 seconds within 21 days of 3 months, and the system response speed requirement can be met. Meanwhile, the accuracy of the intelligent ammeter terminating the charging control instruction and the time-of-use electricity price also reaches 98%, and the accuracy is slightly lower than the average level only for high-power users with longer operation duration.
Further, through monitoring and analysis of the response time of the system, the response speed of the system in certain peak periods is found to be slower; the investigation shows that the concurrent request quantity in the peak period is larger, so that the system is overloaded; thus, the power company upgrades and optimizes the system, and improves the processing capacity of the system and the processing speed of concurrent requests; meanwhile, the data storage and query algorithm is improved, and the response speed and performance of the system are further improved.
Further, the comparative indexes of the present invention and the conventional method are shown in Table 1.
TABLE 1 comparative index of the present invention with the conventional method
| Model accuracy | Error is less than 5% | Error > 20% |
| Model building efficiency | Higher than 50 percent | No obvious change |
| Abnormal detection rate | 90％ | 60％ |
| Number of site monitoring points | Reduced by 70% | No obvious change |
| Cost of operation and maintenance | Reduced by 60% | No obvious change |
| Resolution of success | 95％ | 73％ |
| Classification accuracy | 95％ | 78％ |
| Rate of accuracy of receipt of fee-controlled instructions | 98％ | 65％ |
Preferably, compared with the traditional monitoring method, the method provided by the invention has the advantages that under the support of digital twinning, the efficiency of model construction and anomaly detection can be greatly improved, meanwhile, the invasiveness to an actual system is obviously reduced, and the configuration quantity and operation and maintenance cost of acquisition equipment are greatly reduced.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. A full-link monitoring method for intelligently measuring complex service scenes is characterized by comprising the following steps of: comprising the steps of (a) a step of,
Establishing a virtual model of the intelligent measurement system by utilizing a digital twin technology so as to simulate and monitor key business scenes;
the data packet grabbing and analyzing technology is utilized to quickly locate service processing faults, and system abnormal conditions are timely found and analyzed;
adding buried point codes at key nodes of the system, and collecting service processing indexes to evaluate processing efficiency and analyze system bottlenecks;
based on the monitoring result, parameter adjustment, disaster recovery design and algorithm optimization are adopted to continuously improve the accuracy, response speed and reliability of the system;
and establishing a dynamic closed loop flow of monitoring, analyzing, optimizing and verifying, and continuously improving the intelligent level of the intelligent measuring system.
2. The full-link monitoring method for intelligently measuring complex traffic scenarios according to claim 1, characterized in that: the method for establishing the virtual model of the intelligent measurement system by utilizing the digital twin technology comprises the following steps:
determining each simulation and monitoring target including a command issuing state of special change fee control, an execution result of time-of-use electricity price and an application process of new energy access;
The framework for constructing the digital twin model according to the simulation target comprises an intelligent measurement master station, a terminal, a fee control instruction, time-of-use electricity price information and a new energy access application, and a mapping relation between the intelligent measurement master station, the terminal, the fee control instruction and the new energy access application is defined;
Defining a corresponding simulation flow for each simulation target, and realizing simulation logic of each link according to the defined simulation flow;
If the information of the charge control instruction, the time-of-use electricity price and the new energy access process needs to be monitored, adding a corresponding monitoring function into the digital twin model to acquire and record related data and states in real time;
if the data interaction between the digital twin model and the actual system is required to be realized, establishing data transmission connection through an interface or a protocol so as to ensure the data synchronization and interaction between the digital twin model and the actual system;
Verifying whether the digital twin model can accurately reflect the running state and interaction relation of the actual system through simulating the running process of the actual system;
during the verification process, if any deviation or inconsistency is found, optimization and improvement is performed.
3. The full-link monitoring method for intelligently measuring complex traffic scenarios according to claim 2, characterized in that: the simulation flow comprises the following contents:
For special change fee control, the simulated marketing system submits fee control instructions, the intelligent measurement master station receives the fee control instructions, writes the fee control instructions into a database and sends the fee control instructions to a trans-regional transmission server link, and timely discovers and solves the problem of failure in executing the fee control instructions by monitoring the issuing state and executing result of the fee control instructions in real time;
For time-sharing electricity prices, simulating the configuration, release and execution links of the electricity prices, and timely finding and solving the problem of unsuccessful electricity price release by monitoring the electricity price release state and the execution result in real time;
for new energy access, the access application, approval and grid connection links of the new energy are simulated, and the problem of the new energy access is discovered and solved in time by monitoring the access state and the execution result in real time.
4. The full-link monitoring method for intelligently measuring complex traffic scenarios according to claim 1, characterized in that: the rapid positioning service processing fault by utilizing the data packet grabbing and analyzing technology comprises the following contents:
If the data packet has the conditions of wrong price value, invalid code, mismatching with system configuration or inconsistent with other data packets of the time-sharing electricity price rate successfully issued, judging that the issuing of a certain time-sharing electricity price rate is unsuccessful due to the price setting error;
If the protocol or the data format in the data packet is inconsistent with the expected protocol or the data format, judging that the analysis fails due to the incompatible protocol or format;
If the operation is refused or the wrong information of the authority problem exists in the data packet, judging that the operation is refused due to the insufficient authority or authentication failure;
if the data packet has configuration related error information or data content errors, judging that the operation is unsuccessful due to the configuration errors;
If the response of the equipment is not received or the communication is overtime in the data packet, judging that the network connection fault exists;
If the error information or the abnormal state code returned by the equipment exists in the data packet, the equipment is judged to have faults.
5. The full-link monitoring method for intelligently measuring complex traffic scenarios according to claim 1, characterized in that: the rapid localization of traffic handling failures using packet grabbing and parsing techniques further includes,
If the price setting error causes unsuccessful issuing of a certain time-sharing electricity price rate, checking price values in the data packet to verify whether the time-sharing electricity price rate codes are valid or not, comparing whether the time-sharing electricity price rate setting in the data packet is consistent with the system configuration or not, and simultaneously, confirming whether the data packet is consistent with other time-sharing electricity price rate data packets which are successfully issued or not;
If the incompatible protocol or format causes analysis failure, checking whether the protocol and the data format in the data packet are consistent with the expected protocol and format, judging whether a parser or a parsing algorithm used in the parsing process is compatible with the protocol and the format of the data packet, and carrying out proper protocol and format compatibility adjustment or conversion;
if the operation is refused due to insufficient authority or authentication failure, verifying whether the authority required by the operation is correctly configured, confirming whether the authentication information is valid and correctly provided, and verifying potential identity verification errors, authority configuration problems or security setting limits;
If the configuration error causes unsuccessful operation, checking configuration related information in the data packet, checking the consistency of data content in the data packet and expected configuration, repairing or adjusting the configuration error, and re-issuing or updating corresponding configuration information;
If the network connection fails, checking whether the network connection normally comprises the network connection state of the equipment and a communication link connected with the equipment, and checking possible network equipment failure, network topology problems, transport layer protocol setting or network configuration problems;
if the equipment itself has faults, fault diagnosis and investigation are carried out through error information or abnormal state codes returned by the equipment, and the equipment is cooperated with equipment suppliers or maintenance personnel to carry out equipment fault repair or replacement.
6. The full-link monitoring method for intelligently measuring complex traffic scenarios according to claim 1, characterized in that: the adding of the embedded point codes at the key nodes of the system comprises the following steps:
according to actual conditions, an information collection code is explicitly added at a designated key node, and service processing information to be collected is explicitly conducted for each key node;
developing corresponding information collecting codes according to the determined key nodes and the service processing information to be collected;
Integrating the developed information collecting codes into a system of key nodes, and cooperating with a system developer or maintainer to ensure that the codes run correctly and collect correct information;
After integrating the information collecting codes, testing and verifying to ensure that the codes can work normally and collect correct business processing information;
Deploying the tested and verified information collection codes into a production environment, and monitoring the information collection codes in real time to ensure that the codes can normally run, and recording and reporting key business processing information;
According to the collected business processing information, analyzing and evaluating the distribution of the request processing time, classifying the abnormal description information and solving the problem;
optimizing and improving the system according to the analysis result, including improving system performance, optimizing instruction transmission mechanism and perfecting exception handling;
the key node comprises an instruction execution request link, an instruction downlink message trans-regional transmission link, a pre-processing instruction acquisition link, a terminal instruction execution link, a pre-processing return message acquisition link, an execution result uplink message trans-regional transmission link and an instruction execution result feedback link.
7. The full-link monitoring method for intelligently measuring complex traffic scenarios according to claim 6, characterized in that: the service processing information explicitly to be collected includes the following:
if the request link is executed by the instruction, collecting request sending time, request content, request initiator identification information, request priority index and expected response time;
if the downlink message is instructed to cross the transmission link, collecting the message generation time, the message content, the source and receiver addresses, the transmission path, the transmission time, the link flow and the confirmation of the reception;
If the pre-processing instruction link is acquired, collecting instruction arrival time, instruction content, instruction source, processing priority, processing strategy, processing duration, processing result and output message;
If the instruction link is executed at the terminal, collecting instruction receiving time, execution starting/ending time, instruction content, execution flow data, final execution state and output result;
if the link of processing the return message before acquisition is performed, collecting an original instruction identifier, the generation time, the content, the processing timeliness index, the output channel and the sending confirmation of the return message;
if the uplink message cross-region transmission link is executed, collecting a source address, a destination address, message generation time, content characteristics, a transmission path, time delay parameters and a confirmation mechanism;
If the instruction execution result feedback link is in, collecting original instruction identification information, feedback time, feedback content, processing effect evaluation parameters and receiving confirmation response.
8. An all-link monitoring system for intelligently measuring complex service scenes, which is based on the all-link monitoring method for intelligently measuring complex service scenes according to any one of claims 1 to 7, and is characterized in that: also included is a method of manufacturing a semiconductor device,
The simulation module is used for establishing a virtual model of the intelligent measurement system by utilizing a digital twin technology so as to simulate and monitor key business scenes;
The positioning module is used for rapidly positioning the service processing faults by utilizing a data packet grabbing and analyzing technology and timely finding and analyzing the abnormal conditions of the system;
The embedded point module is used for adding embedded point codes to key nodes of the system and collecting service processing indexes to evaluate the processing efficiency and analyze the bottleneck of the system;
And the optimization module is used for continuously improving the accuracy, response speed and reliability of the system by adopting parameter adjustment, disaster recovery design and algorithm optimization based on the monitoring result.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that: the steps of the full link monitoring method for intelligent measurement of complex service scenarios according to any one of claims 1 to 7 are realized when the processor executes the computer program.
10. A computer-readable storage medium having stored thereon a computer program, characterized by: the steps of the full link monitoring method for intelligent measurement of complex business scenarios according to any one of claims 1 to 7 are realized when the computer program is executed by a processor.
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