CN113239627A - Distributed intelligent monitoring method and device - Google Patents
Distributed intelligent monitoring method and device Download PDFInfo
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Abstract
The invention discloses a distributed intelligent monitoring method and a distributed intelligent monitoring device, wherein the method comprises the following steps: acquiring first intelligent monitoring information; analyzing to obtain a first analysis result; matching the first distributed processing unit; inputting the first analysis result into a first distributed processing unit to obtain a first output result; judging whether the first output result meets a first preset abnormal threshold value or not; obtaining a first time interval when satisfied; collecting wave recording signals in a first time interval; inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result; judging whether a first abnormal signal exists in the second output result; and when the first abnormal signal position is subjected to power-off processing, generating a first abnormal log. The method solves the technical problems that in the prior art, accurate and reliable distributed monitoring can not be carried out on a complex circuit environment, so that a nodal circuit fault can be developed into a regional circuit fault, and the influence range of a fault circuit is enlarged.
Description
Technical Field
The invention relates to the technical field of electrical monitoring, in particular to a distributed intelligent monitoring method and device.
Background
As the most common infrastructure in the power system, the distribution room plays a role of reducing and transmitting high voltage to each household, and because the distribution room is usually distributed in location and mainly sealed, great difficulty is brought to troubleshooting and monitoring. Therefore, distributed intelligent monitoring of the power distribution room has been developed as an important problem to be solved urgently, and more efficient intelligent monitoring of the power distribution room is ensured.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that in the prior art, accurate and reliable distributed monitoring cannot be carried out on a complex circuit environment, so that a nodal circuit fault can be developed into a regional circuit fault, and the influence range of a fault circuit is expanded is solved.
Disclosure of Invention
Aiming at the defects in the prior art, the embodiment of the application aims to solve the technical problems that the prior art cannot carry out accurate and reliable distributed monitoring on a complex circuit environment, so that the node circuit fault can be evolved into a regional circuit fault and the influence range of a fault circuit is enlarged, can obtain a preliminary analysis result by intelligently monitoring and analyzing an arbitrarily selected node circuit, further can obtain a more accurate processing result by processing the preliminary analysis result based on a distributed processing unit, further can carry out interval monitoring on the obtained processing result, comprehensively monitors historical and current circuit data, simultaneously monitors the circuit signal in real time by combining a fault recording device, continuously trains the preliminary analysis result and the recording signal based on an expert system, the distributed processing results based on the arbitrarily selected node circuits can be obtained, and then the abnormal distributed processing results are subjected to power-off processing, so that the normal work of other node circuits is not influenced, the distributed monitoring on the complex circuit environment is realized, the fault isolation function is ensured to be realized, and the intelligent monitoring system has the technical effects of high reliability and stability.
In one aspect, an embodiment of the present application provides a distributed intelligent monitoring method, where the method is applied to an intelligent monitoring system, and the system is in communication connection with a first fault recording device and a first interruption device, and the method includes: acquiring first intelligent monitoring information; acquiring a first analysis instruction, and analyzing the first intelligent monitoring information according to the first analysis instruction to acquire a first analysis result; matching a first distributed processing unit according to the first analysis result; obtaining a first input instruction, and inputting the first analysis result into the first distributed processing unit through the first input instruction to obtain a first output result; judging whether the first output result meets a first preset abnormal threshold value or not; obtaining a first time interval when the first output result meets the first predetermined anomaly threshold; acquiring a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to the first fault wave recording device; inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result, wherein the first expert system is a system of the first distributed processing unit; judging whether a first abnormal signal exists in the second output result; and when a first abnormal signal exists in the second output result, performing power failure processing on the position of the first abnormal signal according to the first interrupt device, and generating a first abnormal log.
On the other hand, this application still provides a distributed intelligent monitoring device, wherein, the device includes: a first obtaining unit: the first obtaining unit is used for obtaining first intelligent monitoring information; a second obtaining unit: the second obtaining unit is used for obtaining a first analysis instruction, and analyzing the first intelligent monitoring information according to the first analysis instruction to obtain a first analysis result; a first matching unit: the first matching unit is used for matching a first distributed processing unit according to the first analysis result; a third obtaining unit: the third obtaining unit is configured to obtain a first input instruction, and input the first parsing result into the first distributed processing unit through the first input instruction to obtain a first output result; a first judgment unit: the first judging unit is used for judging whether the first output result meets a first preset abnormal threshold value or not; a fourth obtaining unit: the fourth obtaining unit is used for obtaining a first time interval when the first output result meets the first preset abnormity threshold value; a first acquisition unit: the first acquisition unit is used for acquiring a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to a first fault wave recording device; a first input unit: the first input unit is used for inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result, wherein the first expert system is a system of the first distributed processing unit; a second judgment unit: the second judging unit is used for judging whether a first abnormal signal exists in the second output result; a first generation unit: the first generating unit is used for performing power failure processing on the position of the first abnormal signal according to a first interrupt device and generating a first abnormal log when the second output result has the first abnormal signal.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the preliminary analysis result can be obtained by intelligently monitoring and analyzing the arbitrarily selected node circuit, and further, the preliminary analysis result is processed based on the distributed processing unit, more accurate processing results can be obtained, and further the obtained processing results are monitored at intervals, the historical and current circuit data are comprehensively monitored, and circuit signals are monitored in real time by combining a fault recording device, based on an expert system, the preliminary analysis result and the wave recording signal are continuously trained, a distributed processing result based on the arbitrarily selected node circuit can be obtained, and then the power-off processing is carried out on the abnormal distributed processing result, the normal work of other node circuits is not influenced, the distributed monitoring on the complex circuit environment is realized, the fault isolation function is ensured to be realized, and the intelligent monitoring system has the technical effects of high reliability and stability.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic flowchart of a distributed intelligent monitoring method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a distributed intelligent monitoring method for constructing the first expert system according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a distributed intelligent monitoring method for performing power-off processing on the first abnormal signal location according to the embodiment of the present application;
fig. 4 is a schematic structural diagram of a distributed intelligent monitoring apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Detailed Description
The embodiment of the application solves the technical problems that in the prior art, the distributed intelligent monitoring cannot be accurately and reliably carried out on a complex circuit environment, so that the node circuit fault can be developed into a regional circuit fault and the influence range of the fault circuit is enlarged, can obtain a preliminary analysis result by intelligently monitoring and analyzing an arbitrarily selected node circuit, further can obtain a more accurate processing result by processing the preliminary analysis result based on a distributed processing unit, further can carry out interval monitoring on the obtained processing result, can comprehensively monitor historical and current circuit data, can carry out real-time monitoring on circuit signals by combining a fault recorder, can carry out expert training on the preliminary analysis result and the record signal based on a fault recording system, and can obtain a distributed processing result based on the arbitrarily selected node circuit, and then the power-off processing is carried out on the abnormal distributed processing result, the normal work of other node circuits is not influenced, the distributed monitoring on the complex circuit environment is realized, the fault isolation function is ensured to be realized, and the intelligent monitoring system has the technical effects of high reliability and stability.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
As the most common infrastructure in the power system, the distribution room plays a role of reducing and transmitting high voltage to each household, and because the distribution room is usually distributed in location and mainly sealed, great difficulty is brought to troubleshooting and monitoring. Therefore, distributed intelligent monitoring of the power distribution room has been developed as an important problem to be solved urgently, and more efficient intelligent monitoring of the power distribution room is ensured. The technical problem that distributed monitoring cannot be carried out on a complex circuit environment, so that node circuit faults can be developed into regional circuit faults and the influence range of a fault circuit is expanded exists in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a distributed intelligent monitoring method, wherein the method is applied to an intelligent monitoring system, the system is in communication connection with a first fault recording device and a first interruption device, and the method comprises the following steps: acquiring first intelligent monitoring information; acquiring a first analysis instruction, and analyzing the first intelligent monitoring information according to the first analysis instruction to acquire a first analysis result; matching a first distributed processing unit according to the first analysis result; obtaining a first input instruction, and inputting the first analysis result into the first distributed processing unit through the first input instruction to obtain a first output result; judging whether the first output result meets a first preset abnormal threshold value or not; obtaining a first time interval when the first output result meets the first predetermined anomaly threshold; acquiring a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to the first fault wave recording device; inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result, wherein the first expert system is a system of the first distributed processing unit; judging whether a first abnormal signal exists in the second output result; and when a first abnormal signal exists in the second output result, performing power failure processing on the position of the first abnormal signal according to the first interrupt device, and generating a first abnormal log.
For better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.
Example one
As shown in fig. 1, an embodiment of the present application provides a distributed intelligent monitoring method, where the method is applied to an intelligent monitoring system, and the system is communicatively connected to a first fault recording device and a first interruption device, and the method includes:
step S100: acquiring first intelligent monitoring information;
specifically, as the most common infrastructure in the power system, the distribution room plays a role of stepping down and delivering high voltage to each household, and since the distribution room is usually distributed in location and mainly sealed, great difficulty is brought to troubleshooting and monitoring. Therefore, distributed intelligent monitoring of the power distribution room has been developed as an important problem to be solved urgently, and more efficient intelligent monitoring of the power distribution room is ensured. In this embodiment of the application, the first intelligent detection information is used to monitor a certain circuit node in a certain area at random, for example, the first intelligent detection information may be used to monitor power circuit node information of a certain household in a certain community.
Step S200: acquiring a first analysis instruction, and analyzing the first intelligent monitoring information according to the first analysis instruction to acquire a first analysis result;
step S300: matching a first distributed processing unit according to the first analysis result;
specifically, the first analysis instruction is used for analyzing the first intelligent monitoring information, for example, when a node circuit of a living room in a household power circuit is monitored and analyzed, current power utilization conditions including voltage, current and other information can be analyzed and obtained, and the first analysis result is the power utilization condition of each household appliance in the node circuit of the living room. Furthermore, the first distributed processing unit works by relying on a distributed processor, so that distributed monitoring analysis processing is performed on the current node circuit, and the first analysis result and the first distributed processing unit keep a corresponding mapping relation. The distributed processor is a computer system which connects a plurality of computers in different places, or with different functions, or with different data through a communication network and coordinately completes large-scale information processing tasks under the unified management control of a control system.
Step S400: obtaining a first input instruction, and inputting the first analysis result into the first distributed processing unit through the first input instruction to obtain a first output result;
specifically, given the first analysis result and the first distributed processing unit, in order to further analyze and process the first intelligent monitoring information, the first analysis result may be input to the first distributed processing unit according to the first input instruction to perform more detailed analysis, so as to obtain the first output result, where the first output result is based on the first distributed processing unit to perform more accurate analysis and processing on the first intelligent monitoring information.
Step S500: judging whether the first output result meets a first preset abnormal threshold value or not;
step S600: obtaining a first time interval when the first output result meets the first predetermined anomaly threshold;
specifically, the first predetermined abnormal threshold may be understood as a behavior that a preset circuit is about to be abnormal, for example, a node circuit passing current is too large due to too large power consumption and too long working time of a household appliance, so as to cause a fire or burn out the household appliance, and by determining whether the first output result meets the first predetermined abnormal threshold, it is determined whether the passing current of the node circuit exceeds a normal current value, and if the passing current is too large, a first time interval is obtained, and the first time interval may be understood as collecting flowing currents before and after the current time of the node circuit in the living room at intervals, so as to determine whether the tracing and development of the passing current are normal, and facilitate further searching for an abnormal cause.
Step S700: acquiring a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to the first fault wave recording device;
particularly, the first fault recording device plays an important role in ensuring the safe operation of the power system. When a fault occurs in a power grid, the waveform and the effective value of three-phase current and zero-sequence current on a line in the whole process of the fault, the waveform and the effective value of three-phase voltage and zero-sequence voltage on a bus can be recorded by using the installed fault recording device, a fault analysis report is formed, the fault type of the fault is given, and the abnormal reason of the circuit is searched.
Step S800: inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result, wherein the first expert system is a system of the first distributed processing unit;
specifically, the first expert system is a computer program system simulating human experts to solve domain problems, and the first expert system internally contains a large amount of knowledge and experience of a domain expert level and can utilize the knowledge and problem solving methods of human experts to process the domain problems. And inputting the first analysis result and the wave recording signal into the first expert system to obtain a second output result, wherein the second output result is a more professional analysis result, and the second output result is more professional and scientific than the first output result.
Step S900: judging whether a first abnormal signal exists in the second output result;
step S1000: and when a first abnormal signal exists in the second output result, performing power failure processing on the position of the first abnormal signal according to the first interrupt device, and generating a first abnormal log.
Specifically, it is known that, based on the first expert system, an analysis result of the first intelligent monitoring information may be obtained, the second output result may be determined, that is, whether a first abnormal signal exists in the second output result, where the first abnormal signal may be understood as a continuous abnormal power consumption, such as circuit aging, line leakage, and the like, if the first abnormal signal exists in the second output result, the first abnormal signal may be powered off according to the first interrupt device, for example, if an abnormal signal occurs in a living room node circuit, to avoid causing a fault in another node circuit, the living room node circuit may be powered off, where the first interrupt device is configured to interrupt an abnormal circuit signal, and the first abnormal log is to record an abnormal circuit fault and a recovery process, the fault conditions are convenient to summarize.
The preliminary analysis result can be obtained by intelligently monitoring and analyzing the arbitrarily selected node circuit, and further, the preliminary analysis result is processed based on the distributed processing unit, more accurate processing results can be obtained, and further the obtained processing results are monitored at intervals, the historical and current circuit data are comprehensively monitored, and circuit signals are monitored in real time by combining a fault recording device, based on an expert system, the preliminary analysis result and the wave recording signal are continuously trained, a distributed processing result based on the arbitrarily selected node circuit can be obtained, and then the power-off processing is carried out on the abnormal distributed processing result, the normal work of other node circuits is not influenced, the distributed monitoring on the complex circuit environment is realized, the fault isolation function is ensured to be realized, and the intelligent monitoring system has the technical effects of high reliability and stability.
Preferably, as shown in fig. 2, the embodiment of the present application further includes:
step S810: acquiring a first data acquisition instruction, and acquiring data of historical abnormal signal data according to the first data acquisition instruction to acquire a first acquisition result;
step S820: constructing a first expert database according to the first acquisition result;
step S830: obtaining a first classification standard, and constructing a first knowledge base by taking the first expert database as basic data based on the first classification standard;
step S840: mapping logic construction is carried out on the data in the first knowledge base, and a first mapping relation construction result is obtained;
step S850: and completing the construction of the first expert system based on the first expert database, the first knowledge base and the mapping logic construction result of the first knowledge base.
Specifically, in order to specifically construct the first expert system, further, historical abnormal signal data may be collected according to the first data collection instruction, where the historical abnormal signal data includes various circuit fault data, the time is long enough, the area is wide enough, the diversity and effectiveness of data collection are ensured, and further the integrity of the first expert system construction is ensured, further, a first expert database is constructed based on the first collection result, and the collected data may be classified based on the first classification standard due to the fact that the collected data is numerous and complicated, so as to ensure effective management of the first expert database, for example, line aging may be one branch, the household appliance power may be too high, another branch may be another branch, and further each branch may be managed in a logical mapping manner, and the first mapping relationship construction result may be understood that any branch has a one-to-one mapping relationship with the stored content thereof, and then constructing the first expert system based on the first expert database, the first knowledge base and the mapping logic construction result, and ensuring the integrity, systematicness and classification clarity of the constructed first expert system.
Preferably, as shown in fig. 3, when there is a first abnormal signal in the second output result, the step S1000 further includes performing power-off processing on the position of the first abnormal signal according to the first interrupt device, and generating a first abnormal log:
step S1010: obtaining first position information of the first abnormal signal;
step S1020: performing circuit grade evaluation on the first abnormal signal to obtain a first circuit grade;
step S1030: matching a first trip switch and a second trip switch according to the first circuit class and the first position information, wherein the first trip switch is a peer switch with the first circuit class and the second trip switch is a superior switch with the first circuit class;
step S1040: and adjusting the first tripping switch into a closed state and the second tripping switch into a state to be closed through the first interruption device.
Specifically, when a first abnormal signal exists in the second output result, first position information of the first abnormal signal, namely a specific position where the abnormal signal occurs, can be obtained, meanwhile, the first abnormal signal can be evaluated in circuit grade, namely, whether the circuit is a new circuit or a long-term failure is evaluated, the first circuit grade is the evaluation result, when the circuit has an abnormality, the node circuit where the circuit is located can be subjected to fault isolation, namely, a first tripping switch and a second tripping switch are matched based on the first circuit grade and the first position information, the first tripping switch is a same-level switch of the first circuit grade, namely, has direct control on the first circuit grade, the second tripping switch is a higher-level switch of the first circuit grade, namely, has indirect control on the first circuit grade, for example, when the first abnormal signal occurs, the first trip switch may be controlled to adjust to a closed state, that is, fault isolation may be performed on the fault circuit, and if the first trip switch cannot be adjusted to the closed state in time, the second trip switch may be controlled to adjust to the closed state, so that the influence range of the fault circuit is minimized.
Preferably, the step S300 further includes, according to the first parsing result, matching a first distributed processing unit:
step S310: obtaining a first area dividing instruction, and carrying out area division on the circuit according to the first area dividing instruction to obtain a first area dividing result;
step S320: performing daily monitoring on the power utilization intensity of each area in the first area division result to obtain a first daily monitoring result of the power utilization intensity;
step S330: adjusting the first area division result according to the first daily power consumption intensity monitoring result to obtain a second area division result;
step S340: constructing a distributed processing unit set according to the second region division result, wherein the distributed processing unit set and the second region division result have a first mapping relation;
step S350: and inputting the first analysis result into the second area division result to obtain the first distributed processing unit.
Specifically, in order to more accurately match the first distributed processing unit according to the first analysis result, the circuit may be further divided into regions, where the first region division result may be understood as that a kitchen line in the household power circuit is a branch region, a living room line is a branch region, a toilet line is a branch region, and the like, and meanwhile, daily monitoring of power consumption intensity may be performed on each region in the first region division result, where the first daily monitoring result of power consumption intensity is a power consumption situation of each branch region, and the first region division result may be adjusted based on the first daily monitoring result of power consumption intensity to obtain a second region division result, for example, if there is an excessive power consumption in the living room line and the power consumption in the toilet is small, a part of lines in the living room line may be switched to the toilet line, the distributed processing unit set is used for sharing power consumption pressure of a living room line, a distributed processing unit set is further constructed according to the second area division result, the first distributed processing unit corresponding to the first analysis result can be obtained based on the second area division result, the power utilization area division and the distributed processing unit are highly matched, the power utilization area division and the distributed processing unit have a first mapping relation, and the distributed processing unit set is ensured to be directly responsible for the power utilization situation of the second area division result.
Preferably, the system is connected with the first thermal imaging device in a communication way, and the embodiment of the application further includes:
step S1110: obtaining first thermal image information of a first power distribution cabinet through the first thermal imaging equipment;
step S1120: obtaining a second analysis instruction, and performing thermal position and element relation analysis on the first thermal image information through the second analysis instruction to obtain a first analysis result;
step S1130: and carrying out exception handling on the first power distribution cabinet based on the first analysis result.
Specifically, the operation condition of the device can be intelligently monitored based on thermal imaging information of the device, and further, the first thermal imaging device is a detection device which detects infrared energy (heat) in a non-contact manner, converts the infrared energy (heat) into an electric signal, generates a thermal image and a temperature value on a display, and can calculate the temperature value. Based on first thermal imaging equipment can be right first switch board carries out thermal imaging monitoring to this judges whether the equipment part of switch board has unusual heating etc. and then based on second analysis instruction, it is right first thermal image information carries out the analysis of heat position and component relation, for example, certain spare part is not main work components and parts in the switch board, first thermal image information shows the heating anomaly but, then according to first analysis result, carries out exception handling to first switch board, has realized that thermal imaging information based on equipment carries out intelligent monitoring to its behavior.
Preferably, the embodiment of the present application further includes:
step 1210: obtaining a first system self-checking instruction;
step S1220: performing system function self-checking on the intelligent monitoring system according to the first system self-checking instruction to obtain a first self-checking result;
step S1230: obtaining a self-checking historical result of the intelligent monitoring system, and evaluating the current state of the system based on the first self-checking result and the self-checking historical result to obtain a first evaluation result;
step S1240: and generating a diagnosis report for the intelligent monitoring system based on the first evaluation result.
Specifically, the system can be intelligently monitored based on a regular system self-check, and further, the first system self-check instruction is a self-check of system functions of the intelligent monitoring system, which can be a self-check of an operating program, a self-check of an operating mode, and the like, the regular system self-check can ensure that the intelligent monitoring system operates normally, meanwhile, the self-check historical results are a result summary of the historical self-checks performed on the intelligent monitoring system, and then the current state evaluation of the system is performed based on the first self-check result and the self-check historical results, the first evaluation result is a result of evaluating the current operating state of the intelligent monitoring system, and then a current diagnosis report is generated based on the first evaluation result, and each diagnosis report is uploaded and stored to ensure that an abnormality occurs, the abnormal report can be contrasted and analyzed, so that the abnormal problem can be solved in time.
Preferably, the step S800 further includes inputting the first analysis result and the recording signal into a first expert system to obtain a second output result, where the first expert system is a system of the first distributed processing unit:
step S860: constructing a first expert system, wherein the first expert system is obtained through training of multiple groups of training data, and each group of the multiple groups of training data comprises the first analysis result, the recording signal and identification information for identifying the judgment result of the abnormal signal;
step S870: and inputting the first analysis result and the wave recording signal into the first expert system to obtain a second output result.
Specifically, the first expert system may be further constructed based on a data training model, wherein a model or a custom mode may be selected first, and a suitable model selection may be determined according to a required service problem, in this embodiment of the present application, the first analysis result and the recording signal that are input need to be continuously trained, so that training obtains a second output result, a neural network model needs to be selected for basic construction, and further, based on the first analysis result, the recording signal and identification information that identifies a judgment result of an abnormal signal, the constructed neural network model is continuously trained, so as to improve accuracy of model training, and further, the first analysis result and the recording signal are input to the first expert system for continuous training, so as to evaluate quality of model training, and finally make the second output result more accurate, the first expert system is constructed based on a data training model.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can obtain the preliminary analysis result by intelligently monitoring and analyzing the arbitrarily selected node circuit, and further process the preliminary analysis result based on the distributed processing unit, more accurate processing results can be obtained, and further the obtained processing results are monitored at intervals, the historical and current circuit data are comprehensively monitored, and circuit signals are monitored in real time by combining a fault recording device, based on an expert system, the preliminary analysis result and the wave recording signal are continuously trained, a distributed processing result based on the arbitrarily selected node circuit can be obtained, and then the power-off processing is carried out on the abnormal distributed processing result, the normal work of other node circuits is not influenced, the distributed monitoring on the complex circuit environment is realized, the fault isolation function is ensured to be realized, and the intelligent monitoring system has the technical effects of high reliability and stability.
Example two
Based on the same inventive concept as the distributed intelligent monitoring method in the foregoing embodiment, the present invention further provides a distributed intelligent monitoring apparatus, as shown in fig. 4, the apparatus includes:
the first obtaining unit 11: the first obtaining unit 11 is configured to obtain first intelligent monitoring information;
the second obtaining unit 12: the second obtaining unit 12 is configured to obtain a first analysis instruction, and analyze the first intelligent monitoring information according to the first analysis instruction to obtain a first analysis result;
the first matching unit 13: the first matching unit 13 is configured to match a first distributed processing unit according to the first parsing result;
the third obtaining unit 14: the third obtaining unit 14 is configured to obtain a first input instruction, and input the first parsing result into the first distributed processing unit through the first input instruction to obtain a first output result;
the first judgment unit 15: the first judging unit 15 is configured to judge whether the first output result meets a first predetermined abnormal threshold;
the fourth obtaining unit 16: the fourth obtaining unit 16 is configured to obtain a first time interval when the first output result satisfies the first predetermined abnormal threshold;
the first acquisition unit 17: the first acquisition unit 17 is configured to acquire a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to a first fault wave recording device;
first input unit 18: the first input unit 18 is configured to input the first analysis result and the recording signal into a first expert system to obtain a second output result, where the first expert system is a system of the first distributed processing unit;
second determination unit 19: the second judging unit 19 is configured to judge whether a first abnormal signal exists in the second output result;
the first generation unit 20: the first generating unit 20 is configured to, when there is a first abnormal signal in the second output result, perform power failure processing on the first abnormal signal according to a first interrupt device, and generate a first abnormal log.
Further, the apparatus further comprises:
a fifth obtaining unit: the fifth obtaining unit is used for obtaining a first data acquisition instruction, and performing data acquisition on historical abnormal signal data according to the first data acquisition instruction to obtain a first acquisition result;
a first building unit: the first construction unit is used for constructing a first expert database according to the first acquisition result;
a sixth obtaining unit: the sixth obtaining unit is configured to obtain a first classification standard, and construct a first knowledge base based on the first classification standard and the first expert database;
a seventh obtaining unit: the seventh obtaining unit is configured to perform mapping logic construction on the data in the first knowledge base to obtain a first mapping relationship construction result;
a second building element: the second construction unit is used for completing construction of the first expert system based on the first expert database, the first knowledge base and the mapping logic construction result of the first knowledge base.
Further, the apparatus further comprises:
an eighth obtaining unit: the eighth obtaining unit is configured to obtain first position information of the first abnormal signal;
a first evaluation unit: the first evaluation unit is used for carrying out circuit grade evaluation on the first abnormal signal to obtain a first circuit grade;
a second matching unit: the second matching unit is used for matching a first trip switch and a second trip switch according to the first circuit grade and the first position information, wherein the first trip switch is a same-level switch with the first circuit grade, and the second trip switch is a higher-level switch of the first circuit grade;
a first adjusting unit: the first adjusting unit is used for adjusting the first tripping switch into a closed state through the first interrupting device and adjusting the second tripping switch into a state to be closed.
Further, the apparatus further comprises:
a ninth obtaining unit: the ninth obtaining unit is configured to obtain a first area division instruction, perform area division on the circuit according to the first area division instruction, and obtain a first area division result;
a first monitoring unit: the first monitoring unit is used for performing daily monitoring on the power utilization intensity of each area in the first area division result to obtain a first daily power utilization intensity monitoring result;
a second adjusting unit: the second adjusting unit is used for adjusting the first area division result according to the first daily power intensity monitoring result to obtain a second area division result;
a third building element: the third construction unit is configured to construct a distributed processing unit set according to the second region partition result, where the distributed processing unit set and the second region partition result have a first mapping relationship;
a second input unit: the second input unit is configured to input the first analysis result into the second region division result, so as to obtain the first distributed processing unit.
Further, the apparatus further comprises:
a tenth obtaining unit: the tenth obtaining unit is configured to obtain first thermal image information of the first power distribution cabinet through the first thermal imaging device;
an eleventh obtaining unit: the eleventh obtaining unit is configured to obtain a second analysis instruction, and perform thermal position and element relationship analysis on the first thermal image information through the second analysis instruction to obtain a first analysis result;
a first processing unit: the first processing unit is used for carrying out exception handling on the first power distribution cabinet based on the first analysis result.
Further, the apparatus further comprises:
a twelfth obtaining unit: the twelfth obtaining unit is used for obtaining a first system self-test instruction;
a thirteenth obtaining unit: the thirteenth obtaining unit is configured to perform system function self-checking on the intelligent monitoring system according to the first system self-checking instruction, and obtain a first self-checking result;
a fourteenth obtaining unit: the fourteenth obtaining unit is configured to obtain a self-checking history result of the intelligent monitoring system, and perform current state evaluation on the system based on the first self-checking result and the self-checking history result to obtain a first evaluation result;
a first generation unit: the first generation unit is used for generating a diagnosis report for the intelligent monitoring system based on the first evaluation result.
Further, the apparatus further comprises:
a fourth construction unit: the fourth construction unit is used for constructing a first expert system, wherein the first expert system is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises the first analysis result and the identification information of the recording signal and the identification abnormal signal judgment result;
a third input unit: the third input unit is used for inputting the first analysis result and the wave recording signal into the first expert system to obtain the second output result.
Various changes and specific examples of the distributed intelligent monitoring method in the first embodiment of fig. 1 are also applicable to the distributed intelligent monitoring apparatus of this embodiment, and through the foregoing detailed description of the distributed intelligent monitoring method, those skilled in the art can clearly know the implementation method of the distributed intelligent monitoring apparatus in this embodiment, so for the brevity of the description, detailed description is not repeated again.
EXAMPLE III
The electronic device of the embodiment of the present application is described below with reference to fig. 5.
Fig. 5 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the distributed intelligent monitoring method in the foregoing embodiment, the present invention further provides a distributed intelligent monitoring apparatus, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the methods of the distributed intelligent monitoring apparatus described above.
Where in fig. 5 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the application provides a distributed intelligent monitoring method, wherein the method is applied to an intelligent monitoring system, the system is in communication connection with a first fault recording device and a first interruption device, and the method comprises the following steps: acquiring first intelligent monitoring information; acquiring a first analysis instruction, and analyzing the first intelligent monitoring information according to the first analysis instruction to acquire a first analysis result; matching a first distributed processing unit according to the first analysis result; obtaining a first input instruction, and inputting the first analysis result into the first distributed processing unit through the first input instruction to obtain a first output result; judging whether the first output result meets a first preset abnormal threshold value or not; obtaining a first time interval when the first output result meets the first predetermined anomaly threshold; acquiring a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to the first fault wave recording device; inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result, wherein the first expert system is a system of the first distributed processing unit; judging whether a first abnormal signal exists in the second output result; and when a first abnormal signal exists in the second output result, performing power failure processing on the position of the first abnormal signal according to the first interrupt device, and generating a first abnormal log.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A distributed intelligent monitoring method is applied to an intelligent monitoring system, wherein the system is in communication connection with a first fault recording device and a first interruption device, and the method comprises the following steps:
acquiring first intelligent monitoring information;
acquiring a first analysis instruction, and analyzing the first intelligent monitoring information according to the first analysis instruction to acquire a first analysis result;
matching a first distributed processing unit according to the first analysis result;
obtaining a first input instruction, and inputting the first analysis result into the first distributed processing unit through the first input instruction to obtain a first output result;
judging whether the first output result meets a first preset abnormal threshold value or not;
obtaining a first time interval when the first output result meets the first predetermined anomaly threshold;
acquiring a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to the first fault wave recording device;
inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result, wherein the first expert system is a system of the first distributed processing unit;
judging whether a first abnormal signal exists in the second output result;
and when a first abnormal signal exists in the second output result, performing power failure processing on the position of the first abnormal signal according to the first interrupt device, and generating a first abnormal log.
2. The method of claim 1, wherein the method further comprises:
acquiring a first data acquisition instruction, and acquiring data of historical abnormal signal data according to the first data acquisition instruction to acquire a first acquisition result;
constructing a first expert database according to the first acquisition result;
obtaining a first classification standard, and constructing a first knowledge base by taking the first expert database as basic data based on the first classification standard;
mapping logic construction is carried out on the data in the first knowledge base, and a first mapping relation construction result is obtained;
and completing the construction of the first expert system based on the first expert database, the first knowledge base and the mapping logic construction result of the first knowledge base.
3. The method of claim 1, wherein the performing power-off processing on the first abnormal signal position according to the first interrupt device and generating a first abnormal log when the first abnormal signal exists in the second output result further comprises:
obtaining first position information of the first abnormal signal;
performing circuit grade evaluation on the first abnormal signal to obtain a first circuit grade;
matching a first trip switch and a second trip switch according to the first circuit class and the first position information, wherein the first trip switch is a peer switch with the first circuit class and the second trip switch is a superior switch with the first circuit class;
and adjusting the first tripping switch into a closed state and the second tripping switch into a state to be closed through the first interruption device.
4. The method of claim 1, wherein said matching a first distributed processing unit according to the first parsing result further comprises:
obtaining a first area dividing instruction, and carrying out area division on the circuit according to the first area dividing instruction to obtain a first area dividing result;
performing daily monitoring on the power utilization intensity of each area in the first area division result to obtain a first daily monitoring result of the power utilization intensity;
adjusting the first area division result according to the first daily power consumption intensity monitoring result to obtain a second area division result;
constructing a distributed processing unit set according to the second region division result, wherein the distributed processing unit set and the second region division result have a first mapping relation;
and inputting the first analysis result into the second area division result to obtain the first distributed processing unit.
5. The method of claim 1, wherein the system is communicatively coupled to a first thermal imaging device, further comprising:
obtaining first thermal image information of a first power distribution cabinet through the first thermal imaging equipment;
obtaining a second analysis instruction, and performing thermal position and element relation analysis on the first thermal image information through the second analysis instruction to obtain a first analysis result;
and carrying out exception handling on the first power distribution cabinet based on the first analysis result.
6. The method of claim 1, wherein the method further comprises:
obtaining a first system self-checking instruction;
performing system function self-checking on the intelligent monitoring system according to the first system self-checking instruction to obtain a first self-checking result;
obtaining a self-checking historical result of the intelligent monitoring system, and evaluating the current state of the system based on the first self-checking result and the self-checking historical result to obtain a first evaluation result;
and generating a diagnosis report for the intelligent monitoring system based on the first evaluation result.
7. The method of claim 1, wherein said inputting said first parsed result and said recorded wave signal into a first expert system to obtain a second output result, wherein said first expert system is a system of said first distributed processing unit, further comprising:
constructing a first expert system, wherein the first expert system is obtained through training of multiple groups of training data, and each group of the multiple groups of training data comprises the first analysis result, the recording signal and identification information for identifying the judgment result of the abnormal signal;
and inputting the first analysis result and the wave recording signal into the first expert system to obtain a second output result.
8. A distributed intelligent monitoring apparatus, wherein the apparatus comprises:
a first obtaining unit: the first obtaining unit is used for obtaining first intelligent monitoring information;
a second obtaining unit: the second obtaining unit is used for obtaining a first analysis instruction, and analyzing the first intelligent monitoring information according to the first analysis instruction to obtain a first analysis result;
a first matching unit: the first matching unit is used for matching a first distributed processing unit according to the first analysis result;
a third obtaining unit: the third obtaining unit is configured to obtain a first input instruction, and input the first parsing result into the first distributed processing unit through the first input instruction to obtain a first output result;
a first judgment unit: the first judging unit is used for judging whether the first output result meets a first preset abnormal threshold value or not;
a fourth obtaining unit: the fourth obtaining unit is used for obtaining a first time interval when the first output result meets the first preset abnormity threshold value;
a first acquisition unit: the first acquisition unit is used for acquiring a wave recording signal in a first time interval at the position of the first intelligent monitoring information according to a first fault wave recording device;
a first input unit: the first input unit is used for inputting the first analysis result and the wave recording signal into a first expert system to obtain a second output result, wherein the first expert system is a system of the first distributed processing unit;
a second judgment unit: the second judging unit is used for judging whether a first abnormal signal exists in the second output result;
a first generation unit: the first generating unit is used for performing power failure processing on the position of the first abnormal signal according to a first interrupt device and generating a first abnormal log when the second output result has the first abnormal signal.
9. A distributed smart monitoring system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of claims 1-7 are implemented when the program is executed by the processor.
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