CN117543840A - Intelligent analysis and auxiliary decision-making system based on centralized monitoring data of transformer substation - Google Patents
Intelligent analysis and auxiliary decision-making system based on centralized monitoring data of transformer substation Download PDFInfo
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Abstract
The invention discloses an intelligent analysis and auxiliary decision-making system based on substation centralized monitoring data, which belongs to the technical field of electric power, and can carry out intelligent analysis and auxiliary decision-making of data when the monitoring data of a subsequent substation arrives by constructing an accident analysis and decision-making module, an abnormality analysis and decision-making module and a monitoring information intelligent grading module, thereby meeting the actual requirement of the substation centralized monitoring operation, assisting a monitor to rapidly and correctly carry out fault and abnormality treatment, providing risk early warning, realizing automatic generation of a monitoring fault tripping report, reducing the workload of the monitor and improving the monitoring work efficiency.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to an intelligent analysis and auxiliary decision-making system based on centralized monitoring data of a transformer substation.
Background
The existing power grid accident anomaly analysis method needs to rely on the information processing function of a dispatching control system, and lacks of analysis on the correlation between equipment faults, anomalies and other signals, so the method has the following defects: 1. the large number of signals are sent up in a centralized manner to the monitoring alarm window, and the analysis of faults is highly dependent on the experience and skill level of the monitor and takes a lot of time. 2. The comprehensive intelligent alarm facing the dispatching service can only be used for positioning fault equipment, the cause and development process of the fault cannot be analyzed, and the comprehensive intelligent alarm has no abnormal information analysis function. 3. Most of comprehensive intelligent alarms only collect operation data of the power system, do not provide treatment and analysis functions, and have low practicality level. 4. At present, a monitor adopts a manual entry mode to screen and record relevant fault messages on a monitoring system one by one, searches for the protection configuration of field equipment, equipment type and other account information, and then manually fills the account information into a tripping report template of corresponding equipment to form a complete tripping report, so that the problems of large workload, long time consumption and low working efficiency exist.
Disclosure of Invention
The invention provides an intelligent analysis and auxiliary decision-making system based on substation centralized monitoring data, which is used for solving the problem that the intelligent analysis and auxiliary decision-making of the substation monitoring data cannot be performed in the prior art.
An intelligent analysis and auxiliary decision-making system based on substation centralized monitoring data, comprising: the system comprises an accident analysis and decision module, an abnormality analysis and decision module and a monitoring information intelligent grading module;
the accident analysis and decision module is used for acquiring a substation accident data set of a designated data source and acquiring an accident knowledge representation according to the substation accident data set; the accident knowledge representation comprises accident data and accident decisions corresponding to the accident data;
the accident analysis and decision module is also used for acquiring the accident information to be analyzed, matching the accident knowledge representation according to the accident information to be analyzed, obtaining a target accident knowledge representation corresponding to the accident information to be analyzed, and displaying;
the abnormality analysis and decision module is used for acquiring an abnormality monitoring alarm signal of the designated data source and acquiring an abnormality knowledge representation according to the abnormality monitoring alarm signal; the abnormal knowledge representation comprises abnormal decision corresponding to the abnormal monitoring alarm signal;
the anomaly analysis and decision module is further used for acquiring anomaly information to be analyzed, matching the anomaly knowledge representation according to the anomaly information to be analyzed, obtaining a target anomaly knowledge representation corresponding to the anomaly information to be analyzed, and displaying the target anomaly knowledge representation;
the intelligent classification module of the monitoring information is used for acquiring the monitoring information alarm of the transformer substation, secondarily classifying the monitoring information alarm to obtain a secondary analysis result, and storing the secondary analysis result.
Further, the substation event data set includes equipment type, priority, shift keywords, protection keywords, equipment status or remote signaling values, event analysis results, and treatment suggestions;
the accident analysis result and the treatment suggestion are used as accident decisions corresponding to the accident data.
Further, obtaining accident knowledge from the substation accident dataset is expressed as: IF < device type > AND < priority > AND < shift key > AND < protect key > AND < device status or remote signaling value > THEN < incident analysis result, handling advice >.
Further, obtaining accident information to be analyzed, and matching the accident knowledge representation according to the accident information to be analyzed to obtain a target accident knowledge representation corresponding to the accident information to be analyzed, including:
when source equipment corresponding to accident information to be analyzed is a bus, a main transformer or a 500kV line, acquiring the accident information to be analyzed, wherein the accident information to be analyzed comprises an accident tripping equipment type, a deflection keyword, a protection keyword, an equipment state, a remote signaling value and/or a voltage level;
and matching the accident knowledge representation with the highest similarity with the accident information to be analyzed in the accident analysis and decision module to obtain the target accident knowledge representation corresponding to the accident information to be analyzed.
Further, obtaining accident information to be analyzed, and matching the accident knowledge representation according to the accident information to be analyzed to obtain a target accident knowledge representation corresponding to the accident information to be analyzed, including:
when source equipment corresponding to accident information to be analyzed is a switch, a 220kV line, a capacitor, a reactance or a station transformer, acquiring the accident information to be analyzed, wherein the accident information to be analyzed comprises an accident tripping equipment type, a voltage class field, a deflection keyword, a protection keyword, an equipment state, a remote signaling value and/or a voltage class;
firstly, combining equipment type and voltage class fields to be matched with a switch, a 220kV line, a capacitor, a reactance or accident knowledge representation corresponding to station transformer equipment;
and obtaining a target accident knowledge representation corresponding to the accident information to be analyzed by matching the accident tripping equipment type, the deflection key word, the protection key word, the equipment state, the remote signaling value and/or the voltage class with the accident knowledge representation with the highest similarity to the accident information to be analyzed based on the accident knowledge representation corresponding to the matched switch, 220kV line, capacitor, reactance or station transformer equipment.
Further, the anomaly monitoring alert signal includes multi-level device alert information, reasons, risk analysis, and treatment recommendations, the multi-level device including a device layer, a component layer in the device layer, and a single component layer in the component layer;
the equipment layer comprises a line, a main transformer, a bus, a capacitor, a reactor, a station transformer and public equipment, and reasons, risk analysis and treatment suggestions are used as abnormal decisions corresponding to abnormal monitoring alarm signals.
Further, the abnormal knowledge representation includes alert knowledge for a single event and alert knowledge for an associated event;
the alarm knowledge of a single event is: IF < alert > THEN < cause, risk analysis, treatment advice >, alert knowledge of the associated event is: IF < alert signal > and … and < alert signal n > THEN < cause, risk analysis and treatment advice >.
Further, obtaining the to-be-analyzed abnormal information, and matching the abnormal knowledge representation according to the to-be-analyzed abnormal information to obtain a target abnormal knowledge representation corresponding to the to-be-analyzed abnormal information, including:
acquiring an abnormal signal to be analyzed, judging whether the abnormal signal to be analyzed is not reset, if so, determining that the abnormal information to be analyzed is the abnormal signal to be analyzed, otherwise, determining that the abnormal information to be analyzed is empty, and ending the analysis flow of the abnormal information to be analyzed;
and obtaining the keywords in the abnormal information to be analyzed, and matching the abnormal knowledge representation with the highest similarity with the keywords in the abnormal information to be analyzed to obtain the target abnormal knowledge representation corresponding to the abnormal information to be analyzed.
Further, the monitoring information alarm is accident information, abnormal information, out-of-limit information, deflection information or notification information.
Further, obtaining the monitoring information alarm of the transformer substation, and performing secondary classification on the monitoring information alarm to obtain a secondary analysis result, including:
constructing a preset expert database rule according to the equipment state and the information attribute when the information is sent;
and acquiring monitoring information alarms of the transformer substation, and carrying out secondary classification on the monitoring information alarms by adopting preset expert database rules to obtain a secondary analysis result.
According to the intelligent analysis and auxiliary decision-making system based on the centralized monitoring data of the transformer substation, through constructing the accident analysis and decision-making module, the abnormality analysis and decision-making module and the intelligent classification module of the monitoring information, the intelligent analysis and auxiliary decision-making of the data can be carried out when the monitoring data of the subsequent transformer substation arrives, the actual requirement of the centralized monitoring operation of the transformer substation is met, a monitor can be assisted to rapidly and correctly carry out fault and abnormality treatment, risk early warning is provided, automatic generation of a tripping report of the monitoring fault is realized, the workload of the monitor is reduced, and the monitoring work efficiency is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic structural diagram of an intelligent analysis and auxiliary decision-making system based on centralized monitoring data of a transformer substation according to an embodiment of the present invention.
Specific embodiments of the present invention have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of apparatus and methods consistent with aspects of the invention as detailed in the accompanying claims.
Embodiments of the present invention are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an intelligent analysis and auxiliary decision-making system based on centralized monitoring data of a transformer substation includes: the system comprises an accident analysis and decision module, an abnormality analysis and decision module and a monitoring information intelligent grading module;
the accident analysis and decision module is used for acquiring a substation accident data set of a designated data source and acquiring an accident knowledge representation according to the substation accident data set; the accident knowledge representation comprises accident data and accident decisions corresponding to the accident data;
the accident analysis and decision module is also used for acquiring the accident information to be analyzed, matching the accident knowledge representation according to the accident information to be analyzed, obtaining the target accident knowledge representation corresponding to the accident information to be analyzed, and displaying.
The accident analysis and decision module identification method adopts a sequential method for searching, and uses a preferential matching result, the identification method is divided into two types, firstly, an analysis result is obtained through keywords (an accident tripping device type, a deflection keyword, a protection keyword, a device state or a remote signaling value and a voltage level), and then the device type and the device voltage level are matched with device topology relation module data in the analysis result, so that a final result is obtained. The equipment adopting the first method comprises a bus, a main transformer and a 500kV line. The second method is that firstly, equipment with accident tripping is matched with equipment type, voltage level field, and then the equipment type, line, capacitance, reactance and station equipment changing information (original priority: switch > line > capacitance > reactance > station changing are matched, when the equipment with high priority is matched, the equipment with low priority can not be matched any more, and keyword matching is used), and then the final result is obtained through keywords (equipment type, deflection keywords, protection keywords, equipment state or remote signaling value, voltage level). The equipment adopting the method I comprises a switch, a 220kV line, a capacitor, a reactance and a station transformer. Wherein method one takes precedence over method two.
The abnormality analysis and decision module is used for acquiring an abnormality monitoring alarm signal of the designated data source and acquiring an abnormality knowledge representation according to the abnormality monitoring alarm signal; the abnormal knowledge representation comprises abnormal decision corresponding to the abnormal monitoring alarm signal;
the anomaly analysis and decision module is further used for acquiring anomaly information to be analyzed, matching the anomaly knowledge representation according to the anomaly information to be analyzed, obtaining a target anomaly knowledge representation corresponding to the anomaly information to be analyzed, and displaying the target anomaly knowledge representation;
the intelligent classification module of the monitoring information is used for acquiring the monitoring information alarm of the transformer substation, secondarily classifying the monitoring information alarm to obtain a secondary analysis result, and storing the secondary analysis result.
According to the intelligent analysis and auxiliary decision-making system based on the centralized monitoring data of the transformer substation, through constructing the accident analysis and decision-making module, the abnormality analysis and decision-making module and the intelligent classification module of the monitoring information, the intelligent analysis and auxiliary decision-making of the data can be carried out when the monitoring data of the subsequent transformer substation arrives, the actual requirement of the centralized monitoring operation of the transformer substation is met, a monitor can be assisted to rapidly and correctly carry out fault and abnormality treatment, risk early warning is provided, automatic generation of a tripping report of the monitoring fault is realized, the workload of the monitor is reduced, and the monitoring work efficiency is improved.
In this embodiment, the substation event data set includes a device type, a priority, a shift key, a protection key, a device status or remote signaling value, an event analysis result, and a treatment suggestion;
the accident analysis result and the treatment suggestion are used as accident decisions corresponding to the accident data.
The device type may be classified into line fault, bus fault, main transformer fault, capacitor fault, reactor fault, station transformer fault, and the like.
The fault complexity can be further divided into a simple fault and a combined fault. Simple faults refer to a type of fault that occurs with a device, such as: "line fault tripped, reclose unsuccessful". A combined fault refers to the occurrence of two or more associative incidents on a device that have a logical causal relationship. The combined fault can be regarded as a fault set consisting of a plurality of simple faults and associated signals between the simple faults, such as 'line fault tripping, switch refusing action, failure protection starting bus bar, and tripping other switches on the bus bar where the line is located'.
The transformer substation fault set is classified according to equipment and fault properties and then stored in a knowledge base, knowledge in the knowledge base covers all fault types as much as possible, an index table is built, and fault tolerance capability and efficiency of knowledge retrieval in the reasoning process are improved.
In this embodiment, obtaining the accident knowledge from the substation accident dataset is expressed as: IF < device type > AND < priority > AND < shift key > AND < protect key > AND < device status or remote signaling value > THEN < incident analysis result, handling advice >.
When the equipment trips in accident, the system automatically matches the accident tripping expert database according to a priority ordering algorithm by collecting the deflection keywords, the protection keywords, the equipment state after tripping and the remote signaling value, carries out accident analysis reasoning, judges an accident analysis result and provides a targeted treatment suggestion according to the analysis result.
Thus, the incident knowledge representation may be: IF < device type > AND < priority > AND < shift key > AND < protect key > AND < device status or remote signaling value > THEN < incident analysis result, treatment advice >.
In this embodiment, obtaining accident information to be analyzed, and matching the accident knowledge representation according to the accident information to be analyzed to obtain a target accident knowledge representation corresponding to the accident information to be analyzed, including:
when source equipment corresponding to accident information to be analyzed is a bus, a main transformer or a 500kV line, acquiring the accident information to be analyzed, wherein the accident information to be analyzed comprises an accident tripping equipment type, a deflection keyword, a protection keyword, an equipment state, a remote signaling value and/or a voltage level;
and matching the accident knowledge representation with the highest similarity with the accident information to be analyzed in the accident analysis and decision module to obtain the target accident knowledge representation corresponding to the accident information to be analyzed.
In this embodiment, obtaining accident information to be analyzed, and matching the accident knowledge representation according to the accident information to be analyzed to obtain a target accident knowledge representation corresponding to the accident information to be analyzed, including:
when source equipment corresponding to accident information to be analyzed is a switch, a 220kV line, a capacitor, a reactance or a station transformer, acquiring the accident information to be analyzed, wherein the accident information to be analyzed comprises an accident tripping equipment type, a voltage class field, a deflection keyword, a protection keyword, an equipment state, a remote signaling value and/or a voltage class;
firstly, combining equipment type and voltage class fields to be matched with a switch, a 220kV line, a capacitor, a reactance or accident knowledge representation corresponding to station transformer equipment; wherein, the original priority: switch > line > capacitance > reactance > station use;
and obtaining a target accident knowledge representation corresponding to the accident information to be analyzed by matching the accident tripping equipment type, the deflection key word, the protection key word, the equipment state, the remote signaling value and/or the voltage class with the accident knowledge representation with the highest similarity to the accident information to be analyzed based on the accident knowledge representation corresponding to the matched switch, 220kV line, capacitor, reactance or station transformer equipment.
In this embodiment, the anomaly monitoring alarm signal includes multi-level device alarm information, reasons, risk analysis, and treatment suggestions, where the multi-level device includes a device layer, a component layer in the device layer, and a single component layer in the component layer;
the equipment layer comprises a line, a main transformer, a bus, a capacitor, a reactor, a station transformer and public equipment, and reasons, risk analysis and treatment suggestions are used as abnormal decisions corresponding to abnormal monitoring alarm signals.
Optionally, the monitoring alarm signals corresponding to the common abnormality of the transformer substation can be classified into the following types according to the equipment:
(1) A line;
for the double bus wiring, a switching mechanism, line protection and line measurement and control signals can be included; for 3/2 wiring, the method can comprise an edge (middle) switch mechanism, switch protection, switch measurement and control, line protection and line measurement and control signals;
(2) The main transformer can comprise a three-side switch mechanism, a switch measurement and control device, a main transformer cooler and a power supply, a main transformer non-electric quantity, a main transformer protection device and a main transformer measurement and control signal thereof;
(3) A bus;
according to the voltage class, switching mechanisms, switch protection, switch measurement and control and bus differential protection signals of all switches on the bus are connected;
(4) A capacitor (resistor), a capacitor (resistor) switching mechanism, a capacitor (resistor) protection and measurement and control signals;
(5) The station transformer can comprise a station transformer switching mechanism, a station transformer protection and a station transformer measurement and control signal;
(6) Public equipment can comprise a direct current system, fault wave recording, a stability control device and other public signals.
The signals contained in various devices can be further divided, for example, switch mechanism signals in a line are divided into SF6 air pressure, a control loop, a spring mechanism, a hydraulic mechanism and air pressure mechanism signals, and the SF6 air pressure is divided into SF6 air pressure low alarm signals and SF6 air pressure low locking signals. After the signals of various devices are classified layer by layer, a corresponding sub-knowledge base is established, and knowledge of the same signals is stored in the same sub-knowledge base. When inquiring related knowledge, a knowledge index table is established for the knowledge base, all relatively independent sub-knowledge bases are connected, the system rapidly searches the sub-knowledge base where the signal is located by means of the knowledge index table, and the fault or abnormal equipment is judged according to the equipment to which the alarm signal belongs. When the last level in the index table is the same, it is directed to the same sub-knowledge base, where all knowledge about the device is stored.
If the system has no correlation between the monitoring alarm signals received in a time interval, it indicates that each alarm signal represents an event, so a single alarm signal event knowledge base needs to be designed for various devices according to the index table for abnormal reasoning of the uncorrelated alarm information.
The alert knowledge for a single event, the anomaly knowledge representation may be: IF < alert > THEN < cause, risk analysis, treatment advice >.
Typically, a fault or anomaly will generate a series of monitoring alarm signals that are interrelated. Therefore, a knowledge base of the alarm information of the related events needs to be designed and applied to the alarm reasoning of the related events.
Alarm knowledge for correlation event reasoning, anomaly knowledge is expressed as: IF < alert signal > and … and < alert signal n > THEN < cause, risk analysis and treatment advice >.
In this embodiment, obtaining the anomaly information to be analyzed, and matching the anomaly knowledge representation according to the anomaly information to be analyzed to obtain a target anomaly knowledge representation corresponding to the anomaly information to be analyzed, including:
acquiring an abnormal signal to be analyzed, judging whether the abnormal signal to be analyzed is not reset, if so, determining that the abnormal information to be analyzed is the abnormal signal to be analyzed, otherwise, determining that the abnormal information to be analyzed is empty, and ending the analysis flow of the abnormal information to be analyzed;
and obtaining the keywords in the abnormal information to be analyzed, and matching the abnormal knowledge representation with the highest similarity with the keywords in the abnormal information to be analyzed to obtain the target abnormal knowledge representation corresponding to the abnormal information to be analyzed.
The present embodiment provides an example of abnormality analysis and recognition, concretely as follows.
Judging precondition: the anomaly signal is not reset;
the fields include: signal name, other associated signals, cause analysis, risk analysis, treatment advice, priority, update time, whether a single signal is used.
Signal name: the key words in the abnormal signal are matched, the "%" is the inclusion relationship, and the content of the main identifier of the signal is as follows: the protection% receiving and merging unit% SV% anomaly is the content of protection x receiving x merging unit x SV x anomaly, wherein special existence such as "[ active P telemetry data ]", "[ reactive Q telemetry data ]" [ power factor cos phi telemetry data ] "" represents active P telemetry data, reactive Q telemetry data and power factor cos phi telemetry data information which respectively mean that the active P telemetry data, the reactive Q telemetry data and the power factor cos phi telemetry data information under the line are displayed, so that anomaly analysis is facilitated
Other associated signals: the single signal defaults to null and the reform field is used to assemble the single signal where the "+" character is a union relationship, the "|" character is an or relationship, and the "%" character matches the inclusion relationship.
In this embodiment, the monitoring information alarm is accident information, abnormality information, out-of-limit information, shift information, or notification information.
The monitoring information alarm is an alarm treaty which appears in an alarm window after the scheduling control system processes the equipment monitoring information, is a main concern object of monitoring operation, and is characterized in that according to the substation equipment monitoring information specification,
the monitoring information alarm is divided into the following categories according to the degree of urgency of influence on the power grid and equipment: accident, anomaly, out of limit, shift and notification of five stages. The accident, abnormality, out-of-limit and deflection information is information which needs to be monitored by a monitor in real time and is immediately or timely treated, the notification information is general information reflecting the running condition of the power grid equipment, the information treatment is treated by an operation and maintenance unit, and the monitor only needs to inquire regularly and does not need to monitor in real time. And the monitoring information of each level is respectively sent to different alarm windows on the dispatching control system, different alarm sounds are triggered, and a monitor is reminded to carry out treatment according to the regulations.
In general, a signal is sent to represent an event, and the influence of the event needs to be determined according to the actual situation, so that an intelligent hierarchical knowledge base for monitoring information needs to be designed, and a secondary hierarchical reasoning result is given according to the situations of equipment states, information attributes and the like when the information is sent.
The system directly and automatically matches expert library rules according to the equipment type and the information keywords to obtain a hierarchical adjustment result, and sometimes the hierarchical adjustment result also needs to be shared with other modules, such as whether a switch control loop disconnection accompanies a signal or not needs to call a result of a system intelligent exception analysis module; whether the signal is frequent or not, and the result of the system monitoring information statistics module needs to be called.
In this embodiment, a monitoring information alarm of a substation is obtained, and the monitoring information alarm is classified for the second time to obtain a second-stage analysis result, including:
constructing a preset expert database rule according to the equipment state and the information attribute when the information is sent;
and acquiring monitoring information alarms of the transformer substation, and carrying out secondary classification on the monitoring information alarms by adopting preset expert database rules to obtain a secondary analysis result.
Optionally, the secondary classification of the monitoring information alarm by adopting a preset expert database rule may include:
a1, acquiring monitoring information alarms of a transformer substation, judging whether alarm suppression representation exists in the monitoring information alarms, if yes, determining a secondary analysis result corresponding to the monitoring information alarms as notification information, otherwise, entering a step A2;
a2, judging whether overhaul hanging indication exists in the monitoring information alarm, if so, determining that a second-stage analysis result corresponding to the monitoring information alarm is notification information, otherwise, entering a step A3;
a3, judging whether OMS defect records exist in the monitoring information alarm, if yes, determining that a second-stage analysis result corresponding to the monitoring information alarm is notification information, otherwise, entering a step A4;
a4, judging whether the monitoring information alarm is accident information, if so, directly determining that a secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, entering a step A5;
a5, judging whether the monitoring information alarm is abnormal information, if so, entering a step A6, otherwise, entering a step A17;
a6, judging whether the generation times of the abnormal information in the step A5 exceeds a preset threshold value, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, entering the step A7;
a7, judging whether the abnormal information in the step A5 is the abnormal information corresponding to the disconnection of the control loop, if so, entering the step A8, otherwise, entering the step A11;
a8, judging whether the signal corresponding to the abnormal information in the step A5 is recovered within the preset time, if so, entering the step A9, otherwise, entering the step A10;
a9, judging whether the abnormal information in the step A5 has corresponding switch deflection information at the same time, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is notification information, otherwise, determining that the secondary analysis result corresponding to the monitoring information alarm is abnormal information;
a10, judging that a switch corresponding to a signal corresponding to abnormal information in the step A5 is in a closing position or any phase has a flow, if so, determining that a secondary analysis result corresponding to monitoring information alarm is accident information, otherwise, entering the step A11;
a11, judging whether the abnormal information in the step A5 is abnormal information corresponding to the fault or the communication interruption of the measurement and control device, if so, entering a step A12, otherwise, entering a step A14;
a12, judging whether equipment corresponding to the abnormal information in the step A5 is in an operating state, if so, entering a step A13, otherwise, entering a step A14;
a13, judging whether a measurement and control device corresponding to the abnormal information in the step A5 is put into operation, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, entering the step A14;
a14, judging whether the abnormal information in the step A5 is the abnormal information corresponding to the fault of the protection device, if so, entering the step A15, otherwise, determining that the second-stage analysis result corresponding to the monitoring information alarm is the abnormal information;
a15, judging whether equipment corresponding to the abnormal information in the step A5 is in an operating state, if so, entering the step A16, otherwise, determining that a secondary analysis result corresponding to the monitoring information alarm is the abnormal information;
a16, judging whether a protection device corresponding to the abnormal information in the step A5 is put into, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, determining that a secondary analysis result corresponding to the monitoring information alarm is abnormal information;
a17, judging whether the monitoring information alarm is out-of-limit information, if so, entering a step A18, otherwise, entering a complement A19;
a18, judging whether the out-of-limit information in the step A17 is accident out-of-limit, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, determining that a secondary analysis result corresponding to the monitoring information alarm is out-of-limit information;
a19, judging whether the monitoring information alarm is deflection information, if so, entering a step A20, otherwise, entering a step A25;
a20, judging whether the generation times of the deflection information in the step A19 exceeds a preset threshold value, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, entering the step A21;
a21, aiming at the deflection information in the step A19, judging whether accident information of the total station accident exists at the same time, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, entering the step A22;
a22, judging whether the equipment corresponding to the deflection information in the step A19 is in remote control operation, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is deflection information, otherwise, entering the step A23;
a23, judging whether equipment corresponding to the deflection information in the step A19 is AVC automatic control, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is deflection information, otherwise, entering the step A24;
a24, judging whether the equipment corresponding to the deflection information in the step A19 has an OMS (operation management system) conversion on-site operation record, if so, determining that a secondary analysis result corresponding to the monitoring information alarm is deflection information, otherwise, determining that a secondary analysis result corresponding to the monitoring information alarm is accident information;
a25, determining that the monitoring information alarm is notification information, judging whether the generation times of the notification information exceeds a preset threshold value, if so, determining that the secondary analysis result corresponding to the monitoring information alarm is accident information, otherwise, determining that the secondary analysis result corresponding to the monitoring information alarm is notification information.
The information overhaul-free mark indicates that the information attribute has no overhaul mark, and when a monitor hangs overhaul marks on the interval or the equipment, the information of the corresponding interval or equipment is provided with the overhaul mark;
the information no-alarm suppression mark indicates that the information attribute has no alarm suppression mark, and when a monitor carries out alarm suppression operation on the information, the information can suppress the mark;
the information OMS defect-free record indicates that there is no misinformation or frequent defect in the monitored defect record of the OMS system. And (3) positioning the related equipment through information keyword identification and equipment topology analysis, and then matching with OMS defect records to obtain a result.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. Intelligent analysis and auxiliary decision-making system based on centralized monitoring data of transformer substation is characterized by comprising: the system comprises an accident analysis and decision module, an abnormality analysis and decision module and a monitoring information intelligent grading module;
the accident analysis and decision module is used for acquiring a substation accident data set of a designated data source and acquiring an accident knowledge representation according to the substation accident data set; the accident knowledge representation comprises accident data and accident decisions corresponding to the accident data;
the accident analysis and decision module is also used for acquiring the accident information to be analyzed, matching the accident knowledge representation according to the accident information to be analyzed, obtaining a target accident knowledge representation corresponding to the accident information to be analyzed, and displaying;
the abnormality analysis and decision module is used for acquiring an abnormality monitoring alarm signal of the designated data source and acquiring an abnormality knowledge representation according to the abnormality monitoring alarm signal; the abnormal knowledge representation comprises abnormal decision corresponding to the abnormal monitoring alarm signal;
the anomaly analysis and decision module is further used for acquiring anomaly information to be analyzed, matching the anomaly knowledge representation according to the anomaly information to be analyzed, obtaining a target anomaly knowledge representation corresponding to the anomaly information to be analyzed, and displaying the target anomaly knowledge representation;
the intelligent classification module of the monitoring information is used for acquiring the monitoring information alarm of the transformer substation, secondarily classifying the monitoring information alarm to obtain a secondary analysis result, and storing the secondary analysis result.
2. The intelligent analysis and decision-making system based on centralized monitoring data of a transformer substation according to claim 1, wherein the transformer substation accident data set comprises equipment type, priority, shift key, protection key, equipment status or remote signaling value, accident analysis result and treatment suggestion;
the accident analysis result and the treatment suggestion are used as accident decisions corresponding to the accident data.
3. The intelligent analysis and decision-making system based on substation centralized monitoring data according to claim 2, wherein the acquisition of the accident knowledge from the substation accident data set is expressed as: IF < device type > AND < priority > AND < shift key > AND < protect key > AND < device status or remote signaling value > THEN < incident analysis result, handling advice >.
4. The intelligent analysis and decision-making system based on centralized monitoring data of a transformer substation according to claim 3, wherein obtaining accident information to be analyzed, and matching the accident knowledge representation according to the accident information to be analyzed, to obtain a target accident knowledge representation corresponding to the accident information to be analyzed, comprises:
when source equipment corresponding to accident information to be analyzed is a bus, a main transformer or a 500kV line, acquiring the accident information to be analyzed, wherein the accident information to be analyzed comprises an accident tripping equipment type, a deflection keyword, a protection keyword, an equipment state, a remote signaling value and/or a voltage level;
and matching the accident knowledge representation with the highest similarity with the accident information to be analyzed in the accident analysis and decision module to obtain the target accident knowledge representation corresponding to the accident information to be analyzed.
5. The intelligent analysis and decision-making system based on centralized monitoring data of a transformer substation according to claim 3, wherein obtaining accident information to be analyzed, and matching the accident knowledge representation according to the accident information to be analyzed, to obtain a target accident knowledge representation corresponding to the accident information to be analyzed, comprises:
when source equipment corresponding to accident information to be analyzed is a switch, a 220kV line, a capacitor, a reactance or a station transformer, acquiring the accident information to be analyzed, wherein the accident information to be analyzed comprises an accident tripping equipment type, a voltage class field, a deflection keyword, a protection keyword, an equipment state, a remote signaling value and/or a voltage class;
firstly, combining equipment type and voltage class fields to be matched with a switch, a 220kV line, a capacitor, a reactance or accident knowledge representation corresponding to station transformer equipment;
and obtaining a target accident knowledge representation corresponding to the accident information to be analyzed by matching the accident tripping equipment type, the deflection key word, the protection key word, the equipment state, the remote signaling value and/or the voltage class with the accident knowledge representation with the highest similarity to the accident information to be analyzed based on the accident knowledge representation corresponding to the matched switch, 220kV line, capacitor, reactance or station transformer equipment.
6. The substation centralized monitoring data-based intelligent analysis and decision-making aid system according to claim 1, wherein the anomaly monitoring alert signal includes multi-level device alert information, cause, risk analysis, and treatment advice, the multi-level device including a device layer, a component layer in the device layer, and a single component layer in the component layer;
the equipment layer comprises a line, a main transformer, a bus, a capacitor, a reactor, a station transformer and public equipment, and reasons, risk analysis and treatment suggestions are used as abnormal decisions corresponding to abnormal monitoring alarm signals.
7. The intelligent analysis and decision-making aid system based on centralized monitoring data of a transformer substation according to claim 6, wherein the abnormal knowledge representation comprises alarm knowledge of individual events and alarm knowledge of associated events;
the alarm knowledge of a single event is: IF < alert > THEN < cause, risk analysis, treatment advice >, alert knowledge of the associated event is: IF < alert signal > and … and < alert signal n > THEN < cause, risk analysis and treatment advice >.
8. The intelligent analysis and decision-making system based on substation centralized monitoring data according to claim 7, wherein the acquiring the anomaly information to be analyzed, and the matching the anomaly knowledge representation according to the anomaly information to be analyzed, to obtain the target anomaly knowledge representation corresponding to the anomaly information to be analyzed, comprises:
acquiring an abnormal signal to be analyzed, judging whether the abnormal signal to be analyzed is not reset, if so, determining that the abnormal information to be analyzed is the abnormal signal to be analyzed, otherwise, determining that the abnormal information to be analyzed is empty, and ending the analysis flow of the abnormal information to be analyzed;
and obtaining the keywords in the abnormal information to be analyzed, and matching the abnormal knowledge representation with the highest similarity with the keywords in the abnormal information to be analyzed to obtain the target abnormal knowledge representation corresponding to the abnormal information to be analyzed.
9. The intelligent analysis and decision-making system based on centralized monitoring data of a transformer substation according to claim 1, wherein the monitoring information alarm is accident information, abnormal information, out-of-limit information, shift information or notification information.
10. The intelligent analysis and decision-making system based on centralized monitoring data of a transformer substation according to claim 9, wherein the steps of obtaining the monitoring information alarm of the transformer substation, and performing secondary classification on the monitoring information alarm to obtain a secondary analysis result comprise:
constructing a preset expert database rule according to the equipment state and the information attribute when the information is sent;
and acquiring monitoring information alarms of the transformer substation, and carrying out secondary classification on the monitoring information alarms by adopting preset expert database rules to obtain a secondary analysis result.
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