CN110988535A - Operation monitoring and fault intelligent self-diagnosis system of metering automation system - Google Patents
Operation monitoring and fault intelligent self-diagnosis system of metering automation system Download PDFInfo
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Abstract
The invention discloses an operation monitoring and fault intelligent self-diagnosis system of a metering automation system, and relates to the technical field of automation monitoring/diagnosis of electric power systems. The invention carries out real-time data analysis on the distribution transformer and the low-voltage metering equipment, provides an all-dimensional monitoring support platform for system operation and maintenance work, realizes unified monitoring on various resources in information application, including power consumption behavior analysis, equipment operation analysis, equipment fault analysis and the like, ensures stable and reliable operation of the system, guarantees the accuracy and integrity of various data of the system, achieves the control and rapid positioning of the overall safe operation condition of the power supply system, and guarantees the normal operation of power consumption of a user; according to the invention, a fault intelligent self-diagnosis recognition system based on operation monitoring of the metering automation system is built, technical means are provided for economic operation, distribution network production management, line loss management and electric power marketing service of power supply enterprises, and the automation and informatization levels of marketing management are improved.
Description
Technical Field
The invention relates to the technical field of automatic monitoring/diagnosis of an electric power system, in particular to an operation monitoring and fault intelligent self-diagnosis system of a metering automation system.
Background
With the continuous enlargement of the scale of the metering automation system and the wider and wider service coverage, the power industry puts higher requirements on the reliability, data and index integrity of the metering automation system. In order to ensure the stable and reliable operation of the system and the accuracy and integrity of various data of the system, the system needs to be monitored all-round every day. At present, the system is mainly monitored in a field duty mode, and the working mode has the defects of large waste of human resources, high difficulty in fault analysis, information lag and the like, and cannot meet the increasingly improved requirement of all-dimensional monitoring.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an operation monitoring and fault intelligent self-diagnosis system of a metering automation system, which meets the increasingly improved requirements of all-dimensional monitoring, ensures the stable and reliable operation of the system, ensures the accuracy and integrity of various data of the system, achieves the control and rapid positioning of the overall safe operation condition of the power supply system, and ensures the normal operation of the power consumption of users.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention provides an operation monitoring and fault intelligent self-diagnosis system of a metering automation system, which comprises electric energy quality analysis, transformer analysis, metering equipment operation analysis, energy efficiency analysis management and system architecture design. Establishing voltage qualification rate analysis in the power quality analysis; collecting voltage data of the corresponding transformer, analyzing and calculating the percentage of the accumulated running time of the actual running voltage deviation in the limit range and the corresponding total running statistical time, and calculating the voltage qualified rate of the corresponding transformer; monitoring the voltage deviation/fluctuation condition of a user in real time; the voltage out-of-limit management comprises that the voltage is higher than the upper limit, the voltage is lower than the lower limit and the voltage is lower than the lower limit, and the voltage out-of-limit times and the out-of-limit duration are analyzed simultaneously.
Analyzing three-phase imbalance in power quality analysis; analyzing the three-phase voltage unbalance, directly calculating the three-phase voltage unbalance rate under the condition that the voltage of each phase is greater than 0, and judging the out-of-limit state; monitoring a plurality of nodes in one day, continuously monitoring a plurality of days to meet the data diagnosis requirement, determining that the three-phase voltage is abnormal, and simultaneously counting the out-of-limit times and the out-of-limit duration; analyzing the three-phase current/load imbalance, directly calculating the imbalance rate of the three-phase current and judging the out-of-limit state under the condition that the phase current of each phase is greater than 0; monitoring a plurality of nodes in one day, continuously monitoring for a plurality of days to meet the data diagnosis requirement, determining that the three-phase current/load is abnormal, and simultaneously counting the out-of-limit times and the out-of-limit duration. Carrying out harmonic analysis in the power quality analysis; analyzing the voltage/current harmonic, analyzing the voltage/current harmonic of the measuring point according to the set voltage/current harmonic limit value, recording the voltage/current content of the split-phase 2 th-31 th harmonic, recording the daily maximum value and the occurrence time of the total harmonic voltage/current distortion, and simultaneously counting the out-of-limit times and the out-of-limit duration.
Analyzing the load rate of the transformer in transformer analysis; setting the rated power, the upper limit exceeding threshold and the lower limit exceeding threshold of the transformer, recording the power limit exceeding accumulated time and the equipment running time, and calculating the overload rate of the transformer. Carrying out load analysis in transformer analysis; and analyzing the maximum value, the minimum value, the occurrence time and the average load of the active power of a user, and analyzing the current ratio of the low-voltage side of the transformer. Analyzing the power factor in transformer analysis; setting a corresponding power factor segmentation fixed value for a corresponding user, and carrying out statistical analysis on the power factor; and analyzing the maximum value, the maximum value occurrence time, the minimum value occurrence time, the out-of-limit times and the force rate of the power factor. Analyzing the running state of the transformer in transformer analysis; and analyzing the load rate, the voltage out-of-limit and the three-phase imbalance of the transformer, analyzing the load extreme value and the occurrence time of the transformer, and analyzing the oil temperature of the transformer. Analyzing transformer loss in transformer analysis; recording the power supply and power output of the transformer, calculating the power loss of the transformer, calculating the ratio of the power loss of the transformer to the power supply, and analyzing the loss rate of the transformer. Analyzing the reactive compensation degree of the transformer; and analyzing the active power, the reactive power and the power factor of the transformer, determining the capacity of reactive compensation, and analyzing the over-compensation and under-compensation after the reactive compensation.
Analyzing electric quantity mutation in the operation analysis of the metering equipment; recording and counting data of the daily power consumption and yesterday power consumption of the user, setting the ratio of the daily power consumption of the electric energy meter to the daily maximum power consumption of the corresponding user, and analyzing the sudden increase and sudden decrease states of the power consumption of the user; when the ratio of the daily electricity quantity of the electric energy meter to the daily possible maximum electricity consumption of the corresponding user is larger than the set ratio, the daily electricity consumption of the electric energy meter may not accord with the actual electricity consumption law of the current user. Analyzing the electric energy indicating value balance state in the operation analysis of the metering equipment; analyzing the difference value between the electric energy indicating value of each rate and the total electric energy indicating value to determine the electric energy indicating value balance state of the electric energy meter; calculating forward/reverse active power indication values in electric energy meter freezing data S1, calculating the sum of forward/reverse active power indication values S2, calculating the difference value between S1 and S2, and analyzing the magnitude relation between the absolute value of the difference value and a set threshold value. Judging the backward movement of the electric energy meter in the operation analysis of the metering equipment; and analyzing the change condition of the total electric energy indication value of the electric energy meter, and judging the abnormal backward running state of the electric energy meter. Judging the stop of the electric energy meter in the operation analysis of the metering equipment; analyzing the data of the total electric energy indicating value, the voltage and the current of the electric energy meter, and judging the abnormal stop state of the electric energy meter.
And in the energy efficiency analysis management, alarm management, energy consumption report output, energy efficiency evaluation, knowledge base management and energy efficiency analysis report are carried out. The system management comprises basic information management, system unified management, user and role management, system authority management, system log management, system data dictionary, mechanism and personnel management and personalized customization.
The method comprises data source acquisition in a system architecture, wherein the data source acquisition is divided into real-time data source acquisition and non-real-time data source acquisition, the real-time data source adopts a data interface mode to carry out real-time synchronization, and the non-real-time data source adopts a daily timing synchronization mode to carry out data acquisition. The data architecture is designed in a system architecture, the data architecture adopts distributed data storage, service requests are dispersed to a plurality of servers for processing, and distributed clusters are adopted for collecting and preprocessing heterogeneous data. The method comprises the steps of designing a functional architecture in a system architecture, adopting a micro-service modular architecture on the functional architecture design, and establishing a huge monomer application based on decomposition into a plurality of micro-service modules. The system comprises a technical architecture design in a system architecture, each module in the system adopts an independent application program from a presentation layer, a control layer, a logic layer and a database access, and each module carries out data interaction through an RESTFUL interface.
As a preferred technical scheme of the invention, when the three-phase voltage unbalance is analyzed, the condition of voltage phase failure abnormity is eliminated in advance; and when the three-phase current/load imbalance is analyzed, the condition of current loss abnormality is eliminated.
As a preferred technical scheme of the invention, when transformer loss is analyzed in transformer analysis, only transformer loss of high-supply and high-count users is analyzed, and the high-supply and low-count users cannot calculate without supply metering points.
As a preferred technical scheme of the invention, when the electric energy indicating value balance state is analyzed in the operation analysis of the metering equipment, the condition that the positive/reverse active electric energy indicating value is 0 or the sum of the positive and reverse active charge indicating values is 0 is excluded. When the backward walking of the electric energy meter is judged in the operation analysis of the metering equipment, the daily positive/negative active total electric energy indicating value and the forward (combined) reactive total electric energy indicating value of a special transformer user and a low-voltage three-phase user are less than the previous day indicating value, and the abnormal backward walking of the electric energy meter is judged; and the forward active total electric energy indicating value and the reverse active total electric energy indicating value of the day are smaller than those of the previous day, and the low-voltage single-phase user judges that the electric energy meter is abnormal in backward walking. When the stop of the electric energy meter is judged in the operation analysis of the metering equipment, the difference value of the indication values of the positive/negative active total electric energy of the day in 2 days of the electric energy meter is equal to 0, 3 points of any phase of the monitored three-phase current in the time period are more than 0.1A, and the stop of the electric energy meter is judged to be abnormal.
As a preferred technical scheme of the invention, in the design of a functional architecture in a system architecture, a micro-service module carries out layered componentization or service encapsulation according to an application display layer, an application service layer and a data service layer.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention carries out real-time data analysis on the distribution transformer and the low-voltage metering equipment, provides an all-dimensional monitoring support platform for system operation and maintenance work, realizes unified monitoring on various resources in information application, including power consumption behavior analysis, equipment operation analysis, equipment fault analysis and the like, ensures stable and reliable operation of the system, guarantees the accuracy and integrity of various data of the system, achieves the control and rapid positioning of the overall safe operation condition of the power supply system, and guarantees the normal operation of power consumption of a user;
2. according to the invention, a fault intelligent self-diagnosis recognition system based on operation monitoring of the metering automation system is built, technical means are provided for economic operation, distribution network production management, line loss management and electric power marketing service of power supply enterprises, and the automation and informatization levels of marketing management are improved.
Drawings
FIG. 1 is a schematic diagram of a data architecture according to the present invention;
FIG. 2 is a schematic structural diagram of a functional architecture according to the present invention;
FIG. 3 is a schematic structural diagram of the technical architecture of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention relates to an operation monitoring and fault intelligent self-diagnosis system of a metering automation system, which comprises a power quality analysis part, a transformer analysis part, a metering device operation analysis part, an energy efficiency analysis management part, a system management part and a corresponding system architecture design part, and the specific requirements are described as follows.
1.1. Power quality analysis
1.1.1. Percent of pass of voltage
1.1.1.1. Analysis of Voltage qualification Rate
The actual operating voltage deviation accumulates the percentage of operating time to the corresponding total operating statistic time within a limited range. And calculating the voltage qualified rate of each transformer through the acquired voltage data.
The actual operating voltage deviation accumulates the percentage of operating time to the corresponding total operating statistic time within a limited range. And calculating the voltage qualified rate of each transformer through the acquired voltage data.
1.1.1.2. Voltage deviation (ripple) analysis
And monitoring the voltage fluctuation condition of the user in real time.
1.1.1.3. Voltage out-of-limit management
The out-of-limit voltage includes an upper limit voltage, a lower limit voltage, and a lower limit voltage. And analyzing the number of voltage out-of-limit times, out-of-limit duration and the like.
1.1.2. Three-phase unbalance
1.1.2.1. Unbalance of three-phase voltage
And under the condition that each phase voltage is greater than 0, directly calculating the unbalance rate of the three-phase voltage and judging whether the phase voltage exceeds the limit. The abnormal condition of voltage phase failure needs to be eliminated first. Multiple points need to be monitored in one day, and the abnormality can be confirmed when the continuous monitoring for multiple days meets the data diagnosis requirement. And counting the out-of-limit times and the out-of-limit duration.
1.1.2.2. Three-phase current (load) imbalance
And under the condition that the current of each phase is greater than 0, directly calculating the unbalance rate of the three-phase current and judging whether the phase is out of limit. The abnormal condition of current loss needs to be eliminated first. Multiple points need to be monitored in one day, and the abnormality can be confirmed when the continuous monitoring for multiple days meets the data diagnosis requirement. And counting the out-of-limit times and the out-of-limit duration.
1.1.3. Harmonic analysis
1.1.3.1. Voltage harmonics
And analyzing the voltage harmonic of the measuring point according to the set voltage harmonic limit value, and recording the voltage content rate of the split-phase 2-31 harmonic, the daily maximum value of the total distortion rate and the occurrence time. And counting the out-of-limit times and the out-of-limit duration.
1.1.3.2. Current harmonics
And analyzing the current harmonic waves of the measuring points according to the set current harmonic wave limit value, and recording the current content rate of the split-phase 2-31 harmonic waves, the daily maximum value of the total distortion rate and the occurrence time. And counting the out-of-limit times and the out-of-limit duration.
1.2. Transformer analysis
1.2.1. Load rate analysis
The rated power, the upper limit-exceeding threshold and the lower limit-exceeding threshold of the transformer are set according to the capacity of a user, the overload rate of the transformer is calculated according to the power limit-exceeding accumulated time and the equipment running time, and the statistical analysis of the load rate of the transformer can be carried out according to the threshold of industries, enterprises, dates, overload rates and the like.
1.2.2. Load analysis
And analyzing the maximum value, the minimum value, the occurrence time, the average load and the like of the active power of the user. And analyzing the current ratio of the low-voltage side of the transformer.
1.2.3. Power factor
And setting corresponding power factor segmentation fixed values for users according to the load characteristics of different users, and carrying out statistical analysis on the power factors. And analyzing the maximum value, the maximum value occurrence time, the minimum value occurrence time, the out-of-limit times, the force rate and the like of the power factor.
1.2.4. Operation of the transformer
The load rate, the voltage out-of-limit, the three-phase imbalance, the load extreme value, the occurrence time, the transformer oil temperature and the like of the transformer are comprehensively analyzed, and the running state of the transformer is comprehensively mastered.
1.2.5. Loss of transformer
And calculating the power loss of the transformer according to the power supply and power output of the transformer, and analyzing the loss rate of the transformer by calculating the ratio of the power loss to the power supply. Only the transformer loss of the high-supply high-count user is analyzed, and the high-supply low-count user can not calculate without supplying a metering point.
1.2.6. Analysis of reactive compensation degree
The capacity of reactive compensation and the over-compensation and under-compensation analysis after the reactive compensation are determined by analyzing the active power, the reactive power and the power factor.
1.3. Metrology equipment operation analysis
1.3.1. Sudden change of electric quantity
And data such as the current daily power consumption and yesterday power consumption of the user are counted, and the conditions of sudden increase and sudden decrease of the user power consumption are analyzed. The ratio of the daily electric quantity of the electric energy meter to the daily possible maximum electricity consumption of the user is larger than a set ratio or is not in accordance with the actual electricity consumption law of the user.
1.3.2. Uneven indication value of electric energy
And analyzing the difference value between the electric energy indicating value of each rate and the total electric energy indicating value to determine the electric energy indicating value balance condition of the electric energy meter. And calculating the difference value of the sum of the positive/reverse active electric energy indication value and the positive/reverse active rate indication values in the electric energy meter freezing data, and judging whether the absolute value of the difference value is greater than a set threshold value. And excluding the condition that the indication value of the positive/reverse active electric energy is 0 or the sum of the indication values of the positive and reverse active rates is 0.
1.3.3. Electric energy meter capable of being turned over
And analyzing the change condition of the total electric energy indicating value of the electric energy meter, and determining whether the electric energy meter has abnormal backward movement. The special transformer user and the low-voltage three-phase user judge that the daily positive/negative active total electric energy indicating value and the forward (combined) reactive total electric energy indicating value are smaller than the previous day indicating value. The low-voltage single-phase user judges that the positive active total electric energy indicating value and the negative active total electric energy indicating value of the day are smaller than the previous day indicating value.
1.3.4. Stop running of electric energy meter
Analyzing the data of the total electric energy indicating value, the voltage and the current of the electric energy meter, and determining whether the electric energy meter has abnormal stop-go. The difference value of the daily positive/negative active total electric energy indication values of the electric energy meter is equal to 0 within 2 days, and 3 points of any phase of the monitored three-phase current in the time interval are larger than 0.1A.
1.4. Energy efficiency analysis management
1.4.1. Alarm management
And alarming for data out-of-limit, meter abnormity and communication interruption.
1.4.2. Energy consumption report
And outputting electric quantity and load reports according to dimensions such as areas, industries, load types, time and the like.
1.4.3. Energy efficiency evaluation
The energy efficiency indexes are classified, weighted values of different indexes under different classifications are set, and index system management can be performed according to different latitudes such as regions, industries and the like.
1.4.4. Knowledge base management
And providing improvement suggestions aiming at different analysis results according to an index system, and establishing an energy efficiency knowledge base.
1.4.5. Energy efficiency analysis report
1.4.5.1. Report template management
Different analysis reports are set according to different areas, industries and the like of users, and historical version information of the analysis reports is managed.
1.4.5.2. Energy efficiency analysis report
The energy consumption condition of the user is analyzed, a comprehensive treatment scheme is provided for problems, and the system has uploading and downloading functions.
1.5. System management
1.5.1. Basic information management
Unified identity authentication: the user does not need to log in for the second time when switching between different applications and even different secondary unit systems.
Unified message publishing: the system adopts a uniform message publishing platform to publish system information in time.
Unified file management: there are many documents in the system, including materials and attachments, etc., and the system will manage these documents uniformly.
Unified task management: the system can realize integrated management of different service types.
1.5.2. System unified management
Unified identity authentication: the user does not need to log in for the second time when switching between different applications and even different secondary unit systems.
Unified message publishing: the system adopts a uniform message publishing platform to publish system information in time.
Unified file management: there are many documents in the system, including materials and attachments, etc., and the system will manage these documents uniformly.
Unified task management: the system can realize integrated management of different service types.
1.5.3. User and role management
User management provides password management, password lockout and expiration functions, and provides operational records. Role configuration is enabled.
1.5.4. System rights management
The system security management subsystem comprises the functions of workstation IP authorization management, module level authorization, service flow authorization, interface authorization, data authorization management and the like.
1.5.5. System log management
The system provides a unified service monitoring and management page. Through the administration page, a system administrator may configure operational parameters of the service, such as database connections, service nodes, and the like.
1.5.6. System data dictionary
The system maintains a basic, generic system service dictionary data.
The service dictionary management component provides a unified data dictionary management tool, and realizes the management of data dictionary types, the interface for adding, deleting and modifying the unified data dictionary, and the interface for inquiring the data dictionary in various modes. The field types and data types can be flexibly customized.
1.5.7. Organization and personnel management
The user organization information is managed in a unified mode and mainly comprises basic information such as units, departments, related responsibilities and the like.
1.5.8. Personalized customization
Different users can dynamically and reasonably display the concerned contents according to the positions so as to improve the practicability of the system.
Customizing a personalized home page;
customizing a personalized reminder;
and customizing personalized retrieval conditions.
2. System architecture
2.1. Principle of design
The architecture design follows the principle of 'advancement, reliability, flexibility, modularization and interaction', follows the technical development trend of the information system, and strives for a feasible scheme.
(1) Principle of advancement
On the basis of following relevant international standards, national standards, industrial standards and company standards, the scheme design is carried out by adopting the current mainstream technical framework, and the advancement of the technical scheme is ensured.
(2) Principle of reliability
The technical framework design follows the reliability principle, and the influence of single-point faults on the stability of the system is eliminated through multi-node load.
(3) Principle of flexibility
The technical framework is designed according to the flexibility principle, and the linear expansion of the system capacity can be realized, so that the development requirements of the power marketing service and the non-power acquisition service in the future 3-5 years are met.
(4) Principle of modularization
Each logic layer of the system follows a modular design principle, a loose coupling frame is designed, the independence of the modules is kept as much as possible, and the requirements of stable module performance, simple structure and low cost are met.
(5) Principle of interaction
The system adapts to the mobile interactive application of a future acquisition system and the service requirement of intelligent interaction with a power user.
2.2. Data architecture
2.2.1. Data requirements
The data acquisition source is divided into a real-time data source and a non-real-time data source, the real-time data source adopts a data interface mode to carry out real-time synchronization, and the non-real-time data source adopts a daily timing synchronization mode to carry out data acquisition, and the data acquisition method specifically comprises the following steps:
2.2.2. data acquisition
Distributed data storage is adopted in the design of a data architecture, service requests are dispersed to a plurality of servers for processing, so that the processing capacity of data calculation is improved, the acquisition and the preprocessing of massive multi-source heterogeneous data are realized by using a distributed cluster, and the bottleneck of data processing performance is avoided. Meanwhile, the requirements of real-time acquisition and off-line acquisition of mass multi-source heterogeneous data are met, the requirements of batch off-line storage and processing, real-time on-line processing, memory calculation and the like of the data are met, and the high-efficiency and flow processing of the data is realized by adopting technologies such as a distributed parallel processing technology and a flow type calculation component.
2.3. Functional architecture
The method is characterized in that a micro-service modular architecture is adopted in the design of a functional architecture to realize the minimum singleton, componentization and servitization of service functions, the service applications are flexibly assembled and constructed according to different role scene requirements, the complexity problem is solved for a plurality of micro-services by decomposing huge single-type applications, the boundaries among the micro-services are clear and interactive, the layered componentization or servitization packaging is carried out according to an application display layer, an application service layer and a data service layer, and a management system for 'uniform display, service sharing and common data source' is organically formed by means of layered isolation, data transparency, independent service and flexible assembly.
2.4. Technical architecture
The system is developed by adopting an open source and mainstream stable technology on the technical architecture design, session sharing and single sign-on among all projects are realized by adopting unified sign-on management and authority control, each module is completely an independent set of application programs from a presentation layer, a control layer, a logic layer and a database access, independent deployment can be carried out, and each module carries out data interaction through an RESTFUL interface.
In order to better cooperate with the operation monitoring and fault intelligent self-diagnosis system of the metering automation system and realize all-round monitoring, new-generation information technology means such as big data, cloud computing, Internet of things, mobile internet and the like, which are called 'cloud big physical movement' for short, are adopted, the 'cloud big physical movement' information technology, automatic control technology and artificial intelligence technology are greatly promoted to realize all-round monitoring on the metering automation system under the background of power grid fusion application, and under the digital platform concept based on 'cloud big physical movement', the system can organically connect all service chains of power supply service in series, and promote efficient communication among all specialties and between specialties and customers.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (5)
1. Measurement automation system operation control and intelligent self-diagnosis system of trouble, its characterized in that:
the system comprises power quality analysis, transformer analysis, operation analysis of metering equipment, energy efficiency analysis management and system architecture design;
establishing voltage qualification rate analysis in the power quality analysis;
collecting voltage data of the corresponding transformer, analyzing and calculating the percentage of the accumulated running time of the actual running voltage deviation in the limit range and the corresponding total running statistical time, and calculating the voltage qualified rate of the corresponding transformer;
monitoring the voltage deviation/fluctuation condition of a user in real time;
performing out-of-limit management on the voltage, wherein the out-of-limit management comprises the steps of increasing the voltage, decreasing the voltage and decreasing the voltage, and analyzing the number of times of out-of-limit and the out-of-limit duration time;
analyzing three-phase imbalance in power quality analysis;
analyzing the three-phase voltage unbalance, directly calculating the three-phase voltage unbalance rate under the condition that the voltage of each phase is greater than 0, and judging the out-of-limit state; monitoring a plurality of nodes in one day, continuously monitoring a plurality of days to meet the data diagnosis requirement, determining that the three-phase voltage is abnormal, and simultaneously counting the out-of-limit times and the out-of-limit duration;
analyzing the three-phase current/load imbalance, directly calculating the imbalance rate of the three-phase current and judging the out-of-limit state under the condition that the phase current of each phase is greater than 0; monitoring a plurality of nodes in one day, continuously monitoring a plurality of days to meet the data diagnosis requirement, determining that the three-phase current/load is abnormal, and simultaneously counting the out-of-limit times and the out-of-limit duration;
carrying out harmonic analysis in the power quality analysis;
analyzing the voltage/current harmonic, analyzing the voltage/current harmonic of a measuring point according to a set voltage/current harmonic limit value, recording the voltage/current content of split-phase 2-31 harmonic, recording the daily maximum value and the occurrence time of the total harmonic voltage/current distortion, and simultaneously counting the number of times of exceeding a limit and the duration of exceeding the limit;
analyzing the load rate of the transformer in transformer analysis;
setting rated power, an upper limit crossing threshold and a lower limit crossing threshold of the transformer, recording power out-of-limit accumulated time and equipment running time, and calculating the overload rate of the transformer;
carrying out load analysis in transformer analysis;
analyzing the maximum value, the minimum value, the occurrence time and the average load of active power of a user, and analyzing the current ratio of the low-voltage side of the transformer;
analyzing the power factor in transformer analysis;
setting a corresponding power factor segmentation fixed value for a corresponding user, and carrying out statistical analysis on the power factor;
analyzing the maximum value, the maximum value occurrence time, the minimum value occurrence time, the out-of-limit times and the force rate of the power factor;
analyzing the running state of the transformer in transformer analysis;
analyzing the load rate, voltage out-of-limit and three-phase imbalance of the transformer, analyzing the load extreme value and occurrence time of the transformer, and analyzing the oil temperature of the transformer;
analyzing transformer loss in transformer analysis;
recording the power supply and power output of the transformer, calculating the power loss of the transformer, calculating the ratio of the power loss of the transformer to the power supply, and analyzing the loss rate of the transformer;
analyzing the reactive compensation degree of the transformer;
analyzing the active power, the reactive power and the power factor of the transformer, determining the capacity of reactive compensation, and analyzing overcompensation and under-compensation after the reactive compensation;
analyzing electric quantity mutation in the operation analysis of the metering equipment;
recording and counting data of the daily power consumption and yesterday power consumption of the user, setting the ratio of the daily power consumption of the electric energy meter to the daily maximum power consumption of the corresponding user, and analyzing the sudden increase and sudden decrease states of the power consumption of the user;
analyzing the electric energy indicating value balance state in the operation analysis of the metering equipment;
analyzing the difference value between the electric energy indicating value of each rate and the total electric energy indicating value to determine the electric energy indicating value balance state of the electric energy meter; calculating a positive/reverse active power indication value S1 in electric energy meter freezing data, calculating the sum of positive/reverse active power rate indication values S2, calculating the difference value of S1 and S2, and analyzing the magnitude relation between the absolute value of the difference value and a set threshold value;
judging the backward movement of the electric energy meter in the operation analysis of the metering equipment;
analyzing the change condition of the total electric energy indication value of the electric energy meter, and judging the abnormal backward running state of the electric energy meter;
judging the stop of the electric energy meter in the operation analysis of the metering equipment;
analyzing the data of the total electric energy indicating value, the voltage and the current of the electric energy meter, and judging the abnormal stop state of the electric energy meter;
performing alarm management, energy consumption report output, energy efficiency evaluation, knowledge base management and energy efficiency analysis report in the energy efficiency analysis management;
the system management comprises basic information management, system unified management, user and role management, system authority management, system log management, system data dictionary, mechanism and personnel management and personalized customization;
the method comprises data source acquisition in a system architecture, wherein the data source acquisition is divided into real-time data source acquisition and non-real-time data source acquisition, the real-time data source adopts a data interface mode to carry out real-time synchronization, and the non-real-time data source adopts a daily timing synchronization mode to carry out data acquisition;
the data architecture is designed in a system architecture, the data architecture adopts distributed data storage, service requests are dispersed to a plurality of servers for processing, and distributed clusters are adopted for acquiring and preprocessing heterogeneous data;
the method comprises the steps of designing a functional architecture in a system architecture, adopting a micro-service modular architecture on the functional architecture design, and establishing a huge monomer application based on decomposition into a plurality of micro-service modules;
the system comprises a technical architecture design in a system architecture, each module in the system adopts an independent application program from a presentation layer, a control layer, a logic layer and a database access, and each module carries out data interaction through an RESTFUL interface.
2. The metering automation system operation monitoring and fault intelligent self-diagnosis system according to claim 1, characterized in that:
when the three-phase voltage unbalance is analyzed, the condition of voltage phase failure abnormity is eliminated in advance;
and when the three-phase current/load imbalance is analyzed, the condition of current loss abnormality is eliminated.
3. The metering automation system operation monitoring and fault intelligent self-diagnosis system according to claim 1, characterized in that:
when transformer loss is analyzed in transformer analysis, only transformer loss of high-supply high-count users is analyzed.
4. The metering automation system operation monitoring and fault intelligent self-diagnosis system according to claim 1, characterized in that:
when the balance state of the electric energy indicating values is analyzed in the operation analysis of the metering equipment, the condition that the positive/reverse active electric energy indicating value is 0 or the sum of the positive and reverse active charge rate indicating values is 0 is excluded;
when the backward walking of the electric energy meter is judged in the operation analysis of the metering equipment, the daily positive/negative active total electric energy indicating value and the forward (combined) reactive total electric energy indicating value of a special transformer user and a low-voltage three-phase user are less than the previous day indicating value, and the abnormal backward walking of the electric energy meter is judged; the positive active total electric energy indicating value and the negative active total electric energy indicating value of the day are smaller than the indicating value of the previous day, and the low-voltage single-phase user judges that the electric energy meter is abnormal in backward running;
when the stop of the electric energy meter is judged in the operation analysis of the metering equipment, the difference value of the indication values of the positive/negative active total electric energy of the day in 2 days of the electric energy meter is equal to 0, 3 points of any phase of the monitored three-phase current in the time period are more than 0.1A, and the stop of the electric energy meter is judged to be abnormal.
5. The metering automation system operation monitoring and fault intelligent self-diagnosis system according to claim 1, characterized in that:
in the design of a functional architecture in the system architecture, the micro-service module performs layered componentization or service encapsulation according to an application display layer, an application service layer and a data service layer.
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