CN116526415A - Power equipment protection device and control method thereof - Google Patents
Power equipment protection device and control method thereof Download PDFInfo
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- CN116526415A CN116526415A CN202310753051.0A CN202310753051A CN116526415A CN 116526415 A CN116526415 A CN 116526415A CN 202310753051 A CN202310753051 A CN 202310753051A CN 116526415 A CN116526415 A CN 116526415A
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 64
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- 238000012163 sequencing technique Methods 0.000 claims description 6
- 230000000087 stabilizing effect Effects 0.000 claims description 5
- 238000007619 statistical method Methods 0.000 claims description 3
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0061—Details of emergency protective circuit arrangements concerning transmission of signals
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The application provides a power equipment protection device and a control method thereof, wherein the obtained historical overload data of power equipment are analyzed, a data abnormal interval is determined, abnormal data is determined through the data abnormal interval, and the abnormal data is removed to obtain stable overload data; the equipment overload rate of the power equipment is determined through stable overload data, the reliable warning probability of different sensors in the power equipment is determined through the correct warning times of the different sensors, and the unreliable warning probability of the different sensors in the power equipment is determined through the error warning times of the different sensors; in the same time window, obtaining comprehensive warning probability according to the overload rate, the reliable warning probability and the unreliable warning probability of the equipment; when the warning information of different time windows is received, the warning information is sequenced according to the comprehensive warning probability corresponding to the warning information and then presented to the overload manager, so that the overload warning accuracy of the power equipment protection device can be effectively improved.
Description
Technical Field
The application relates to the technical field of power equipment protection, in particular to a power equipment protection device and a control method thereof.
Background
The power equipment protection device is a device for protecting various devices (such as a transformer, a generator, a cable, a circuit and the like) in a power system from abnormal conditions such as short circuit, overload and the like, and mainly monitors parameters in the power system, such as current, voltage, frequency and the like, and adopts corresponding control measures to protect the power equipment from safe operation.
When the power system is overloaded, the power equipment protection device can detect abnormal overload data and send out overload warning signals, for example, the power equipment protection device can monitor a current value through a current sensor, when the current value in the power system exceeds a preset threshold value, the power equipment protection device is in an overload state, the current sensor can trigger the overload warning signals, but in the prior art, the overload control in the power equipment protection device is carried out through overload data detected in real time, and due to inaccurate threshold value setting of the overload detection sensor or sensor precision and error, larger errors exist only through overload warning of the overload data detected in real time, so that the overload warning accuracy of the power equipment protection device is low.
Disclosure of Invention
The application provides a power equipment protection device and a control method thereof, which are used for solving the technical problem of low overload warning accuracy in the power equipment protection device.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a control method of a power equipment protection device, including:
starting overload control of the power equipment protection device, and acquiring historical overload data of the power equipment;
analyzing the historical overload data, determining a data abnormal section, determining abnormal data through the data abnormal section, and removing the abnormal data to obtain stable overload data;
determining the equipment overload rate of the power equipment through the stable overload data, determining the reliable warning probability of different sensors in the power equipment through the correct warning times of different sensors, and determining the unreliable warning probability of different sensors in the power equipment through the incorrect warning times of different sensors;
in each time window, obtaining comprehensive warning probability corresponding to warning information of the time window according to the equipment overload rate, the reliable warning probability and the unreliable warning probability;
when the warning information of different time windows is received, the warning information is ordered according to the comprehensive warning probability corresponding to the warning information of each time window, a warning information sequence is obtained, and the warning information sequence is presented to overload management personnel.
In some embodiments, analyzing the historical overload data, determining the data anomaly interval may specifically include:
carrying out statistical analysis on the historical overload data to obtain standard deviation and mean value of the historical overload data;
and determining a data abnormal interval according to the standard deviation and the mean value of the historical overload data.
In some embodiments, determining the abnormal data through the data abnormal interval may specifically include: and comparing the data abnormal section with the historical overload data, and marking the historical overload data which is not in the data abnormal section as abnormal data.
In some embodiments, determining the device overload rate of the electrical device by the stable overload data may specifically include:
determining a time window in the stable overload data through preset overload times;
and determining the equipment overload rate of the power equipment according to the time window and the overload times.
In some embodiments, determining the reliable alert probabilities for different sensors in the power device by the correct alert times for the different sensors may specifically include:
determining correct warning times of different sensors by stabilizing the overload times of the power equipment in the overload data;
determining reliable warning probability of different sensors according to the overload times and the correct warning times of the different sensors, wherein the reliable warning probability is determined according to the following formula:
wherein,,representing reliable warning probability of the sensor, < >>Indicating the warning state of the sensor, +.>Indicating overload condition of the electrical device, +.>Indicating the number of overloads of the electrical device, +.>Indicating the correct warning times of the sensor when the power equipment is overloaded.
In some embodiments, determining the unreliable alert probability for different sensors in the power device by the number of false alerts for the different sensors may specifically include:
determining the error warning times of different sensors by stabilizing the overload times of the power equipment in the overload data;
determining unreliable warning probability of different sensors according to a preset time window and the number of false warning times of the different sensors, wherein the unreliable warning probability is determined according to the following formula:
wherein,,representing the probability of unreliable warning of the sensor, < +.>Indicating the warning state of the sensor, +.>Indicating the normal state of the electrical equipment, +.>Indicating the number of false alarms of the sensor when the power equipment is normal,/-for the sensor>Representing a preset time window.
In some embodiments, the alert information is ordered according to the comprehensive alert probability corresponding to the alert information in each time window, and the alert information sequence may specifically include:
and sequencing the warning information of different time windows according to the corresponding comprehensive warning probability, sequencing the warning information with the same comprehensive warning probability according to the time distance, and finally obtaining a warning information sequence.
In a second aspect, the present application provides a power equipment protection device, which includes a warning control unit, the warning control unit includes:
the stable overload data determining module is used for starting overload control of the power equipment protection device and acquiring historical overload data of the power equipment; analyzing the historical overload data, determining a data abnormal section, determining abnormal data through the data abnormal section, and removing the abnormal data to obtain stable overload data;
the warning probability determining module is used for determining the equipment overload rate of the power equipment through the stable overload data, determining the reliable warning probability of different sensors in the power equipment through the correct warning times of the different sensors, and determining the unreliable warning probability of the different sensors in the power equipment through the wrong warning times of the different sensors;
the comprehensive warning probability determining module is used for obtaining comprehensive warning probability corresponding to the warning information of the time window according to the equipment overload rate, the reliable warning probability and the unreliable warning probability in each time window;
and the warning information presentation module is used for sequencing the warning information according to the comprehensive warning probability corresponding to the warning information of each time window when the warning information of different time windows is received, obtaining a warning information sequence and presenting the warning information sequence to overload management personnel.
In a third aspect, the present application provides a computer device comprising a memory and a processor; the memory stores codes, and the processor is configured to acquire the codes and execute the control method of the power equipment protection device.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the control method of the above-described power equipment protection device.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
in the power equipment protection device and the control method thereof, overload control of the power equipment protection device is started, and historical overload data of power equipment are obtained; analyzing the historical overload data, determining a data abnormal section, determining abnormal data through the data abnormal section, and removing the abnormal data to obtain stable overload data; determining the equipment overload rate of the power equipment through the stable overload data, determining the reliable warning probability of different sensors in the power equipment through the correct warning times of different sensors, and determining the unreliable warning probability of different sensors in the power equipment through the incorrect warning times of different sensors; in each time window, obtaining comprehensive warning probability corresponding to warning information of the time window according to the equipment overload rate, the reliable warning probability and the unreliable warning probability; when the warning information of different time windows is received, the warning information is ordered according to the comprehensive warning probability corresponding to the warning information of each time window, a warning information sequence is obtained, and the warning information sequence is presented to overload management personnel.
According to the method and the device, the power equipment historical overload data are used for removing abnormal data processing to obtain stable overload data, the stable overload data are more accurate and reliable, the accuracy of calculation of alarm probabilities of different subsequent sensors can be improved, when the comprehensive alarm probability is calculated, the equipment overload rate, the reliable alarm probability and the unreliable alarm probability are considered, so that the alarm information is more comprehensive and reliable, the comprehensive alarm probabilities of a plurality of alarm information are finally ordered, an alarm information sequence is obtained, the overload manager can conveniently process the alarm information sequence, and the overload alarm accuracy of the electronic equipment protection device can be effectively improved.
Drawings
FIG. 1 is an exemplary flow chart of a method of controlling a power equipment protection device according to some embodiments of the present application;
FIG. 2 is a schematic diagram of exemplary hardware and/or software of an alert control unit shown according to some embodiments of the present application;
fig. 3 is a schematic structural diagram of a computer device according to a control method of an electric power device protection apparatus according to some embodiments of the present application.
Detailed Description
The embodiment of the application provides a power equipment protection device and a control method thereof, and the core of the power equipment protection device is that overload control of the power equipment protection device is started to acquire historical overload data of power equipment; analyzing the historical overload data, determining a data abnormal section, determining abnormal data through the data abnormal section, and removing the abnormal data to obtain stable overload data; determining the equipment overload rate of the power equipment through the stable overload data, determining the reliable warning probability of different sensors in the power equipment through the correct warning times of different sensors, and determining the unreliable warning probability of different sensors in the power equipment through the incorrect warning times of different sensors; in each time window, obtaining comprehensive warning probability corresponding to warning information of the time window according to the equipment overload rate, the reliable warning probability and the unreliable warning probability; when the warning information of different time windows is received, the warning information is sequenced according to the comprehensive warning probability corresponding to the warning information of each time window, a warning information sequence is obtained, and the warning information sequence is presented to overload management personnel, so that the overload warning accuracy of the power equipment protection device is effectively improved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of a control method of an electrical equipment protection device according to some embodiments of the present application, a control method 100 of an electrical equipment protection device mainly includes the following steps:
in step 101, overload control of a power equipment protection device is started, historical overload data of the power equipment is obtained, the historical overload data is analyzed, a data abnormal section is determined, abnormal data is determined through the data abnormal section, the abnormal data is removed, and stable overload data is obtained.
The historical overload data is data recorded on overload conditions of the power equipment, warning conditions of different sensors and specific data, in some embodiments, a data source of the historical overload data of the power equipment is obtained from a log file, in this application, the historical overload data can be obtained from a system recording the historical data, such as an equipment monitoring system, a fault alarm system, a maintenance recording system and the like, the historical overload data is not limited herein, it is required to determine that available data sources can be helpful for subsequent data acquisition and integration, a proper method can be adopted to obtain the historical overload data according to the determined data sources, a file import mode is adopted in this application, an API call mode, a database query mode and the like can be used in the actual implementation, the mode of obtaining the historical overload data is not limited herein, and the mode of obtaining the historical overload data varies according to different data sources.
In some embodiments, the historical overload data is analyzed, and the following specific ways can be adopted to determine the data abnormal interval, namely: and carrying out statistical analysis on the historical overload data to obtain standard deviation and average value of the historical overload data, and then determining a data abnormal interval according to the standard deviation and average value of the historical overload data.
Preferably, in some embodiments, the determining the abnormal data through the data abnormal interval may specifically adopt the following ways: by comparing the data abnormal section with the historical overload data, marking the historical overload data which is not in the data abnormal section, for example, assuming that the data (unit: celsius) representing the temperature sensor in the historical overload data of the power equipment is:if the temperature exceeds 40 ℃, the temperature is regarded as an abnormal value, the average value and the standard deviation of the temperature data are calculated, the average value is assumed to be 28 ℃, the standard deviation is assumed to be 10 ℃, the average value plus or minus 3 times the standard deviation can be selected to be used as a section, and the upper limit of the section is ++>The lower limit of the interval isFor each temperature data point in the historical overload data, whether the temperature data point is within the interval is judged, in the embodiment, the 9 th data point is marked as abnormal data when the temperature of 100 ℃ exceeds the upper limit interval, and the description is that the temperature data point is within the intervalThe flag bit is used to represent the abnormal data point, and the flag may also be used to represent the abnormal data point by using a specific numerical value or a label, which is not limited herein.
In some embodiments, for the data points marked as abnormal data, the abnormal data needs to be removed so as to obtain stable overload data, according to the marked result, each data point in the history overload data is traversed, for the data points marked as abnormal, the data points can be directly deleted from the history overload data, in particular, when the data points are realized, a new data set can be deleted or re-created from the history overload data, the history overload data of non-abnormal data is copied into the new data set, and finally the stable overload data is obtained.
In step 102, the overload rate of the power equipment is determined according to the stable overload data, the reliable warning probability of different sensors in the power equipment is determined according to the correct warning times of different sensors, and the unreliable warning probability of different sensors in the power equipment is determined according to the incorrect warning times of different sensors.
In some embodiments, by stabilizing the overload data, the device overload rate of the power device may be determined in the following manner: determining a time window in the stable overload data through preset overload times, determining the equipment overload rate of the power equipment according to the time window and the overload times, and determining the equipment overload rate of the power equipment according to the following formula:wherein (1)>Representing a reliable warning probability of the sensor, < >>Indicating the alarm state of the sensor, +.>Indicating overload condition of the electrical device, +.>Indicating the number of overloads of the electrical device, +.>Indicating the correct warning times of the sensor when the power equipment is overloaded.
In some embodiments, the determining the unreliable warning probability of the different sensors in the power device by the number of false warning times of the different sensors may specifically be the following manner: determining the number of false alarms of different sensors through the overload number of the power equipment, and determining the unreliable alarm probability of the different sensors according to a preset time window and the number of false alarms of the different sensors, wherein the unreliable alarm probability of each sensor is determined according to the following formula:wherein,,indicating the probability of unreliable warning of the sensor, < +.>Indicating the alarm state of the sensor, +.>Indicating the normal state of the electrical equipment, +.>Indicating the number of false alarms of the sensor when the power equipment is normal,/for the sensor>Representing a preset time window. In step 103, in each time window, obtaining a comprehensive corresponding to the warning information of the time window according to the overload rate of the device, the reliable warning probability and the unreliable warning probabilityAlert probability.
Preferably, in some embodiments, in each time window, stable overload data may be obtained through alarm information in the time window, where the alarm information includes overload times of the power device and alarm conditions of all sensors in the power device in each time window, and the like, and the device overload rate, the reliable alarm probability and the unreliable alarm probability are determined through the stable overload data to obtain comprehensive alarm probability, and when determining a time window, the device overload rate, the reliable alarm probability and the unreliable alarm probability may be calculated according to the data such as the device overload times and the like, which are not repeated herein, where the comprehensive alarm probability is determined according to the following formula:
wherein,,representing the comprehensive warning probability->Indicating the overload rate of the device>Indicating an overload condition of the electrical device,indicating the normal state of the electrical equipment, +.>Representing sensor +.>Warning state of->Representing a set of sensors in the electrical device, +.>Representing sensor +.>Unreliable warning probability of->The device normal rate is represented, and it is required to be explained that the comprehensive warning probability can comprehensively consider the device overload rate and the performance of a warning system, so that more comprehensive and accurate warning information is provided, in practical application, the accuracy and the reliability of the warning information are very important for timely finding and processing the device overload, the real overload condition of the power device can be helped to be identified and false alarms are reduced through the comprehensive warning probability, the accuracy of overload diagnosis is improved, the device overload rate, the reliable warning probability and the unreliable warning probability are considered in the calculation of the comprehensive warning probability, the warning information is more comprehensive and reliable, the reliability and the safety of the power device protection device are improved, and the overload warning accuracy of the power device protection device is effectively improved.
In step 104, when the warning information of different time windows is received, the warning information is ordered according to the comprehensive warning probability corresponding to the warning information of each time window, a warning information sequence is obtained, and the warning information sequence is presented to the overload manager.
In some embodiments, the warning information at different times is ordered according to the comprehensive warning probability corresponding to the warning information at different times, and when the method is specifically implemented, the following method can be specifically adopted to determine the warning information sequence: firstly, ordering the warning information of different time according to the corresponding comprehensive warning probability, then ordering the warning information with the same comprehensive warning probability according to the time distance, and finally obtaining a warning information sequence.
It should be noted that, a series of alert information is included in different time windows, each alert information corresponds to a specific time window and a specific device state, for each alert information, a corresponding comprehensive alert probability can be calculated, the comprehensive alert probability comprehensively considers the overload rate, the reliable alert probability and the unreliable alert probability of the device, and the alert information is ranked according to the calculated comprehensive alert probability from high to low, so that the first alert information in the alert information sequence will be the alert information with the highest comprehensive alert probability, and the last alert information will be the alert information with the lowest comprehensive alert probability, wherein if the comprehensive alert probabilities are the same, the alert information is ranked according to the time far and near, the priority close to the current time is high, otherwise, the priority is low, the ranked alert information sequence is presented to the overload manager, and the overload manager can judge the priority of the fault according to the alert information sequence in the alert information sequence, and in general case, the overload manager will first process the alert information with the highest priority because it represents the most serious and urgent fault condition.
According to the method and the device, abnormal data processing is removed through the historical overload data of the power equipment, the historical overload data is more accurate and reliable, the accuracy of calculation of the alarm probabilities of different follow-up sensors is improved, when the comprehensive alarm probability is calculated, the equipment overload rate, the reliable alarm probability and the unreliable alarm probability are considered, so that the alarm information is more comprehensive and reliable, the comprehensive alarm probabilities of a plurality of alarm information are finally ordered, an alarm information sequence is obtained, and the overload manager can conveniently process the alarm information sequence, so that the overload alarm accuracy of the power equipment protection device is effectively improved.
In addition, in another aspect of the present application, in some embodiments, the present application provides a power equipment protection device, the system includes an alarm control unit, referring to fig. 2, which is a schematic diagram of exemplary hardware and/or software of the alarm control unit according to some embodiments of the present application, where the alarm control unit 200 includes: the stable overload data determining module 201, the alarm probability determining module 202, the comprehensive alarm probability determining module 203 and the alarm information presenting module 204 are respectively described as follows:
the stable overload data determining module 201, where the stable overload data determining module 201 is mainly used to start overload control of the power equipment protection device, and obtain historical overload data of the power equipment; analyzing the historical overload data, determining a data abnormal section, determining abnormal data through the data abnormal section, and removing the abnormal data to obtain stable overload data;
the warning probability determining module 202, where the warning probability determining module 202 is mainly configured to determine an equipment overload rate of the power equipment according to the stable overload data, determine reliable warning probabilities of different sensors in the power equipment according to correct warning times of different sensors, and determine unreliable warning probabilities of different sensors in the power equipment according to incorrect warning times of different sensors;
the comprehensive warning probability determining module 203, where the comprehensive warning probability determining module 203 is mainly configured to obtain, in each time window, a comprehensive warning probability corresponding to warning information of the time window according to the device overload rate, the reliable warning probability, and the unreliable warning probability;
the warning information presenting module 204, in this application, the warning information presenting module 204 is mainly configured to, when receiving the warning information in different time windows, sort the warning information according to the comprehensive warning probability corresponding to the warning information in each time window, obtain a warning information sequence, and present the warning information sequence to an overload manager.
In some embodiments, the present application also provides a computer device including a memory storing code and a processor configured to obtain the code and perform the control method of the power device protection apparatus described above.
In some embodiments, reference is made to fig. 3, which is a schematic structural diagram of a computer device according to a control method of a power equipment protection device provided in an embodiment of the present application. The control method of the power equipment protection device according to the above embodiment may be implemented by a computer device shown in fig. 3, where the computer device 300 includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.
The processor 301 may be a general purpose central processing unit (central processing unit, CPU), application specific integrated circuit (application specific integrated circuit, ASIC) or execution of one or more control methods for controlling the power equipment protection devices of the present application. Communication bus 302 may include a path to transfer information between the above components.
The memory 303 may be, but is not limited to, a Read Only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read only memory (electrically erasable programmable read only memory, EEPROM), a compact disc read only memory (compact disc read only Memory, CDROM) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 303 may be stand alone and be coupled to the processor 301 via the communication bus 302. Memory 303 may also be integrated with processor 301.
The memory 303 is used for storing program codes for executing the embodiments of the present application, and the processor 301 controls the execution. The processor 301 is configured to execute program code stored in the memory 303. One or more software modules may be included in the program code. The control method of the power equipment protection device in the above embodiment may be implemented by one or more software modules of program codes in the processor 301 and the memory 303.
Communication interface 304, using any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single-core (single CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In particular implementations, the computer device may be a desktop, laptop, web server, palmtop (personal digital assistant, PDA), mobile handset, tablet, wireless terminal device, communication device, or embedded device. Embodiments of the present application are not limited in the type of computer device.
It will be appreciated by those skilled in the art that 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.
For example, in some embodiments, the present application further provides a computer-readable storage medium storing a computer program that when executed by a processor implements the above-described control method of the power equipment protection device.
The present invention is described in terms of 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 means 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 instruction means 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. It is therefore intended that the following claims be interpreted as including the 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 modifications and variations can be made to the present invention without departing from the invention
Clear spirit and scope. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A control method of an electric power equipment protection device, characterized by comprising the steps of:
starting overload control of the power equipment protection device, and acquiring historical overload data of the power equipment;
analyzing the historical overload data, determining a data abnormal section, determining abnormal data through the data abnormal section, and removing the abnormal data to obtain stable overload data;
determining the equipment overload rate of the power equipment through the stable overload data, determining the reliable warning probability of different sensors in the power equipment through the correct warning times of different sensors, and determining the unreliable warning probability of different sensors in the power equipment through the incorrect warning times of different sensors;
in each time window, obtaining comprehensive warning probability corresponding to warning information of the time window according to the equipment overload rate, the reliable warning probability and the unreliable warning probability;
when the warning information of different time windows is received, the warning information is ordered according to the comprehensive warning probability corresponding to the warning information of each time window, a warning information sequence is obtained, and the warning information sequence is presented to overload management personnel.
2. The method of claim 1, wherein analyzing the historical overload data to determine a data anomaly interval comprises:
carrying out statistical analysis on the historical overload data to obtain standard deviation and mean value of the historical overload data;
and determining a data abnormal interval according to the standard deviation and the mean value of the historical overload data.
3. The method of claim 1, wherein determining anomaly data by the data anomaly interval specifically comprises: and comparing the data abnormal section with the historical overload data, and marking the historical overload data which is not in the data abnormal section as abnormal data.
4. The method of claim 1, wherein determining the device overload rate of the electrical device from the stable overload data comprises:
determining a time window in the stable overload data through preset overload times;
and determining the equipment overload rate of the power equipment according to the time window and the overload times.
5. The method of claim 1, wherein determining the reliable alert probabilities for different sensors in the power device by the number of correct alerts for the different sensors comprises:
determining correct warning times of different sensors by stabilizing the overload times of the power equipment in the overload data;
determining reliable warning probability of different sensors according to the overload times and the correct warning times of the different sensors, wherein the reliable warning probability is determined according to the following formula:
wherein (1)>Representing reliable warning probability of the sensor, < >>Indicating the warning state of the sensor, +.>Indicating overload condition of the electrical device, +.>Indicating the number of overloads of the electrical device, +.>Indicating the correct warning times of the sensor when the power equipment is overloaded.
6. The method of claim 1, wherein determining the probability of unreliable warning for different sensors in the power device by the number of false alarms for the different sensors comprises:
determining the error warning times of different sensors by stabilizing the overload times of the power equipment in the overload data;
determining unreliable warning probability of different sensors according to a preset time window and the number of false warning times of the different sensors, wherein the unreliable warning probability is determined according to the following formula:
wherein (1)>Representing the probability of unreliable warning of the sensor, < +.>Indicating the warning state of the sensor, +.>Indicating the normal state of the electrical equipment, +.>Indicating the number of false alarms of the sensor when the power equipment is normal,/-for the sensor>Representing a preset time window.
7. The method of claim 1, wherein the ordering of the alert information according to the comprehensive alert probabilities corresponding to the alert information for each time window, the obtaining the alert information sequence specifically comprises:
and sequencing the warning information of different time windows according to the corresponding comprehensive warning probability, sequencing the warning information with the same comprehensive warning probability according to the time distance, and finally obtaining a warning information sequence.
8. The utility model provides a power equipment protection device which characterized in that, including warning control unit, warning control unit includes:
the stable overload data determining module is used for starting overload control of the power equipment protection device and acquiring historical overload data of the power equipment; analyzing the historical overload data, determining a data abnormal section, determining abnormal data through the data abnormal section, and removing the abnormal data to obtain stable overload data;
the warning probability determining module is used for determining the equipment overload rate of the power equipment through the stable overload data, determining the reliable warning probability of different sensors in the power equipment through the correct warning times of the different sensors, and determining the unreliable warning probability of the different sensors in the power equipment through the wrong warning times of the different sensors;
the comprehensive warning probability determining module is used for obtaining comprehensive warning probability corresponding to the warning information of the time window according to the equipment overload rate, the reliable warning probability and the unreliable warning probability in each time window;
and the warning information presentation module is used for sequencing the warning information according to the comprehensive warning probability corresponding to the warning information of each time window when the warning information of different time windows is received, obtaining a warning information sequence and presenting the warning information sequence to overload management personnel.
9. A computer device, characterized in that the computer device comprises a memory storing a code and a processor configured to acquire the code and execute the control method of the power device protection apparatus according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the control method of the power equipment protection device according to any one of claims 1 to 7.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017206952A1 (en) * | 2016-06-02 | 2017-12-07 | 华为技术有限公司 | Intelligent reminding method, and terminal, wearable device and system |
| US20180013831A1 (en) * | 2016-07-11 | 2018-01-11 | Hcl Technologies Limited | Alerting one or more service providers based on analysis of sensor data |
| CA3200604A1 (en) * | 2017-03-24 | 2018-09-24 | Canadian Pacific Railway Company | Condition based maintenance of railcar roller bearings using predictive wayside alerts based on acoustic bearing detector measurements |
| CN109951306A (en) * | 2017-12-20 | 2019-06-28 | 中国移动通信集团湖北有限公司 | Processing method, device, equipment and the medium of alarm |
| CN211236077U (en) * | 2019-12-06 | 2020-08-11 | 夏凡 | Data contrast type electric power overload early warning device |
| US20200364607A1 (en) * | 2019-05-13 | 2020-11-19 | Oracle International Corporation | Systems and methods for unsupervised anomaly detection using non-parametric tolerance intervals over a sliding window of t-digests |
| CN111984638A (en) * | 2020-07-10 | 2020-11-24 | 广州汇通国信科技有限公司 | Distribution transformer heavy overload data management method based on BP neural network algorithm |
| CN112702215A (en) * | 2021-03-04 | 2021-04-23 | 新华三人工智能科技有限公司 | Alarm association rule matching priority ordering method, device and storage medium |
| CN114925900A (en) * | 2022-05-16 | 2022-08-19 | 国网湖北省电力有限公司咸宁供电公司 | Distribution transformer weight and overload risk early warning analysis method |
| CN115144016A (en) * | 2022-05-26 | 2022-10-04 | 深圳华侨城卡乐技术有限公司 | Equipment alarm system, method, terminal and storage medium |
| CN115426274A (en) * | 2022-08-04 | 2022-12-02 | 中国电信股份有限公司 | Resource early warning method and device, electronic equipment and storage medium |
| CN115642701A (en) * | 2022-11-03 | 2023-01-24 | 广东电网有限责任公司 | State identification method of relay protection device and related device |
| CN116106618A (en) * | 2023-01-09 | 2023-05-12 | 深圳市海洋王照明工程有限公司 | Alarm method and device of electric equipment and alarm system of Internet of things |
| CN116247820A (en) * | 2023-02-22 | 2023-06-09 | 国家石油天然气管网集团有限公司 | Autonomous operation and maintenance management system |
-
2023
- 2023-06-26 CN CN202310753051.0A patent/CN116526415B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017206952A1 (en) * | 2016-06-02 | 2017-12-07 | 华为技术有限公司 | Intelligent reminding method, and terminal, wearable device and system |
| US20180013831A1 (en) * | 2016-07-11 | 2018-01-11 | Hcl Technologies Limited | Alerting one or more service providers based on analysis of sensor data |
| CA3200604A1 (en) * | 2017-03-24 | 2018-09-24 | Canadian Pacific Railway Company | Condition based maintenance of railcar roller bearings using predictive wayside alerts based on acoustic bearing detector measurements |
| CN109951306A (en) * | 2017-12-20 | 2019-06-28 | 中国移动通信集团湖北有限公司 | Processing method, device, equipment and the medium of alarm |
| US20200364607A1 (en) * | 2019-05-13 | 2020-11-19 | Oracle International Corporation | Systems and methods for unsupervised anomaly detection using non-parametric tolerance intervals over a sliding window of t-digests |
| CN211236077U (en) * | 2019-12-06 | 2020-08-11 | 夏凡 | Data contrast type electric power overload early warning device |
| CN111984638A (en) * | 2020-07-10 | 2020-11-24 | 广州汇通国信科技有限公司 | Distribution transformer heavy overload data management method based on BP neural network algorithm |
| CN112702215A (en) * | 2021-03-04 | 2021-04-23 | 新华三人工智能科技有限公司 | Alarm association rule matching priority ordering method, device and storage medium |
| CN114925900A (en) * | 2022-05-16 | 2022-08-19 | 国网湖北省电力有限公司咸宁供电公司 | Distribution transformer weight and overload risk early warning analysis method |
| CN115144016A (en) * | 2022-05-26 | 2022-10-04 | 深圳华侨城卡乐技术有限公司 | Equipment alarm system, method, terminal and storage medium |
| CN115426274A (en) * | 2022-08-04 | 2022-12-02 | 中国电信股份有限公司 | Resource early warning method and device, electronic equipment and storage medium |
| CN115642701A (en) * | 2022-11-03 | 2023-01-24 | 广东电网有限责任公司 | State identification method of relay protection device and related device |
| CN116106618A (en) * | 2023-01-09 | 2023-05-12 | 深圳市海洋王照明工程有限公司 | Alarm method and device of electric equipment and alarm system of Internet of things |
| CN116247820A (en) * | 2023-02-22 | 2023-06-09 | 国家石油天然气管网集团有限公司 | Autonomous operation and maintenance management system |
Non-Patent Citations (2)
| Title |
|---|
| 姜丹;梁春燕;吴军英;常永娟;: "基于大数据分析的电力运行数据异常检测示警方法", 中国测试, no. 07 * |
| 王健等: "《基于贝叶斯定理的电网告警可信度算法研究》", 《广东电力》, pages 68 - 73 * |
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