CN116502623B - Substation equipment operation supervision system and method based on text analysis - Google Patents
Substation equipment operation supervision system and method based on text analysis Download PDFInfo
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Abstract
The invention discloses a power transformation equipment operation supervision system and method based on text analysis, which belong to the field of power transformation equipment and are used for solving the problems that when the operation monitoring of the power transformation equipment is not combined with equipment factors and historical operation factors of the equipment, abnormal results are not accurately identified.
Description
Technical Field
The invention belongs to the field of power transformation equipment, relates to operation supervision technology, and in particular relates to a power transformation equipment operation supervision system and method based on text analysis.
Background
A substation is an electrical facility in an electrical power system that converts voltage, receives and distributes electrical energy, controls the flow of electrical power, and regulates the voltage, which connects the electrical grids of the various levels of voltage via its transformers. In the transformer substation, various kinds of construction equipment are needed, and the equipment types are more, including transformers, switches, quadripole, reactive devices, other equipment and auxiliary devices, such as wave blockers, insulators, high-voltage bushings, guide wires, grounding devices, secondary equipment, high-voltage direct-current equipment and the like. These devices are collectively referred to as power transformation devices.
When the operation of the power transformation equipment is monitored, corresponding operation monitoring standards are not set by combining equipment factors and historical operation factors of the equipment, and meanwhile, when the monitoring of the power transformation equipment cannot be abnormal combination or normal results, accurate identification is not carried out on the abnormal results;
therefore, we propose a system and a method for supervising the operation of the power transformation equipment based on text analysis.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a system and a method for supervising the operation of power transformation equipment based on text analysis.
The technical problems to be solved by the invention are as follows:
how to set operation monitoring standards of the power transformation equipment based on multiple factors, and how to accurately identify operation monitoring results of the power transformation equipment.
The aim of the invention can be achieved by the following technical scheme:
the power transformation equipment operation supervision system based on text analysis comprises a data acquisition module, a supervision setting module, an equipment analysis module, an alarm terminal, a historical operation monitoring module, a storage module, a text analysis module, an operation analysis module and a server, wherein the storage module is used for storing historical operation data and equipment data of power transformation equipment, and sending the historical operation data to the historical operation monitoring module and sending the equipment data to the equipment analysis module;
the historical operation monitoring module is used for monitoring the historical operation condition of the power transformation equipment, and obtaining an operation monitoring value of the power transformation equipment and feeding the operation monitoring value back to the server; the equipment analysis module is used for analyzing the equipment use condition of the power transformation equipment, obtaining equipment monitoring values of the power transformation equipment and feeding back the equipment monitoring values to the server, and the server sends the operation monitoring values and the equipment monitoring values of the power transformation equipment to the supervision setting module;
the monitoring and setting module is used for setting the monitoring grade of the power transformation equipment, the monitoring grade of the power transformation equipment is set and fed back to the server, and the server sets the monitoring parameters of the power transformation equipment according to the monitoring grade and sends the monitoring parameters to the operation analysis module;
the data acquisition module is used for acquiring real-time state data of the power transformation equipment and sending the real-time state data to the server, and the server sends the real-time state data to the operation analysis module; the operation analysis module is used for analyzing the real-time operation state of the power transformation equipment, generating a voltage normal signal, a voltage abnormal signal, a current normal signal, a current abnormal signal, a temperature normal signal or a temperature abnormal signal and feeding the voltage normal signal, the voltage abnormal signal, the current normal signal, the current abnormal signal, the temperature normal signal or the temperature abnormal signal back to the server, and integrating the voltage normal signal, the voltage abnormal signal, the current normal signal, the current abnormal signal, the temperature normal signal or the temperature abnormal signal into a real-time signal by the server;
the data acquisition module is used for acquiring text information of the real-time signals and sending the text information to the text analysis module; the storage module is also used for storing text information of different preset signals and sending the text information to the text analysis module, the text analysis module is used for analyzing the text information when the power transformation equipment operates, the target signals are obtained and fed back to the server, the server sends the preset signals corresponding to the target signals to the alarm terminal, and the alarm terminal sends corresponding alarm information according to the preset signals.
Further, the historical operation data is the voltage abnormality times and the current abnormality times and the temperature abnormality times of the power transformation equipment;
the equipment data are the input use time, the equipment failure times and the equipment maintenance times of the power transformation equipment.
Further, the monitoring process of the history operation monitoring module is specifically as follows:
acquiring voltage abnormality times, current abnormality times and temperature abnormality times of the power transformation equipment;
then, voltage abnormality time of the power transformation equipment when the voltage is abnormal is obtained, time difference values between adjacent voltage abnormality times are calculated, and the time difference values between multiple groups of adjacent voltage abnormality times are added and summed to obtain average value to obtain voltage abnormality interval duration of the power transformation equipment;
similarly, calculating to obtain the abnormal interval duration of the current and the abnormal interval duration of the temperature of the power transformation equipment;
and calculating an operation monitoring value of the power transformation equipment.
Further, the analysis process of the device analysis module is specifically as follows:
acquiring the input use time of the power transformation equipment, and subtracting the input use time from the current time of the server to obtain the equipment use time length of the power transformation equipment;
then obtaining the equipment failure times and equipment maintenance times of the power transformation equipment;
and calculating the equipment monitoring value of the power transformation equipment.
Further, the setting process of the supervision setting module is specifically as follows:
acquiring an operation monitoring value and an equipment monitoring value of power transformation equipment;
calculating a supervision value of the power transformation equipment;
the supervision value is compared with the supervision threshold value, and the supervision level of the power transformation equipment is judged to be a third supervision level, a second supervision level or a first supervision level.
Further, the supervision parameters comprise a voltage fluctuation rate interval, a current fluctuation rate interval and a temperature fluctuation rate interval of the power transformation equipment;
the third level of supervision is lower than the second level of supervision, which is lower than the first level of supervision.
Further, the real-time state data are real-time voltage values, real-time current values and real-time temperature values of the power transformation equipment at different time points;
the text information is the real-time character number of the real-time signal and the real-time stroke number of each character.
Further, the analysis process of the operation analysis module is specifically as follows:
setting the working time of the power transformation equipment, and setting a plurality of time points in the working time;
then acquiring a real-time voltage value, a real-time current value and a real-time temperature value of the time-varying equipment at each time point;
calculating the voltage fluctuation rates of a plurality of groups of adjacent time point time-varying devices, and adding, summing and averaging the voltage fluctuation rates of the plurality of groups of adjacent time point time-varying devices to obtain the voltage fluctuation average rate of the power-varying devices;
similarly, calculating to obtain the current fluctuation average rate and the temperature fluctuation average rate of the power transformation equipment;
finally, acquiring the supervision grade of the power transformation equipment, and acquiring the supervision parameters corresponding to the power transformation equipment according to the supervision grade;
generating a voltage normal signal if the voltage fluctuation average rate is in a voltage fluctuation rate interval, and generating a voltage abnormal signal if the voltage fluctuation average rate is not in the voltage fluctuation rate interval; if the current fluctuation average speed is in the current fluctuation speed interval, generating a current normal signal, and if the current fluctuation average speed is not in the current fluctuation speed interval, generating a current abnormal signal; if the temperature fluctuation average rate is in the temperature fluctuation rate interval, generating a temperature normal signal, and if the temperature fluctuation average rate is not in the temperature fluctuation rate interval, generating a temperature abnormal signal.
Further, the analysis process of the text analysis module is specifically as follows:
acquiring the number of real-time characters of the real-time signal, taking the number of real-time characters as a first screening element of the real-time signal, screening different preset signals according to the first screening element, and inducing the preset signals conforming to the first screening element into a primary selection set;
then acquiring the real-time stroke number of each character, taking the real-time stroke number of each character as a second screening element of the real-time signal, screening preset signals in the primary selection set according to the second screening element, and calibrating the preset signals conforming to the second screening element as target signals;
and comparing the stroke number of each character in the preset signal with the real-time stroke number of each character in the real-time signal one by one according to the front-back sequence of the characters.
A method for supervising the operation of power transformation equipment based on text analysis comprises the following steps:
step S101, a storage module stores historical operation data and equipment data of the power transformation equipment, the historical operation data of the power transformation equipment is sent to a historical operation monitoring module, and the equipment data of the power transformation equipment is sent to an equipment analysis module;
step S102, a historical operation monitoring module monitors historical operation conditions of the power transformation equipment, operation monitoring values of the power transformation equipment are obtained and sent to a supervision setting module, an equipment analysis module analyzes equipment use conditions of the power transformation equipment, and equipment monitoring values of the power transformation equipment are obtained and sent to the supervision setting module;
step S103, the supervision setting module sets the supervision level of the power transformation equipment to obtain the supervision level of the power transformation equipment, and the supervision parameters of the power transformation equipment are set according to the supervision level and sent to the operation analysis module;
step S104, the data acquisition module acquires real-time state data of the power transformation equipment and sends the data to the operation analysis module, and the operation analysis module analyzes the real-time operation state of the power transformation equipment to generate a voltage normal signal, a voltage abnormal signal, a current normal signal, a current abnormal signal, a temperature normal signal or a temperature abnormal signal;
step S105, the data acquisition module acquires text information of the real-time signal and sends the text information to the text analysis module, the text analysis module analyzes the text information when the power transformation equipment operates, and a target signal is obtained and sent to the alarm terminal.
Compared with the prior art, the invention has the beneficial effects that:
the invention utilizes a history operation monitoring module to monitor the history operation condition of the power transformation equipment to obtain an operation monitoring value of the power transformation equipment, the operation monitoring value is sent to a supervision setting module, an equipment analysis module analyzes the equipment use condition of the power transformation equipment to obtain the equipment monitoring value of the power transformation equipment, the supervision setting module combines the equipment monitoring value and the operation monitoring value to set the supervision grade of the power transformation equipment to obtain the supervision grade of the power transformation equipment, the supervision parameter of the power transformation equipment is set according to the supervision grade to be sent to an operation analysis module, the operation analysis module analyzes the real-time operation state of the power transformation equipment to generate a voltage normal signal, a voltage abnormal signal, a current normal signal, a current abnormal signal, a temperature normal signal or a temperature abnormal signal, finally utilizes a text analysis module to analyze the signal generated when the power transformation equipment is operated to obtain a target signal and send the target signal to an alarm terminal.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is an overall system block diagram of the present invention;
fig. 2 is a flow chart of the operation of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In an embodiment, please refer to fig. 1, a power transformation equipment operation monitoring system based on text analysis includes a data acquisition module, a monitoring setting module, an equipment analysis module, an alarm terminal, a history operation monitoring module, a storage module, a text analysis module, an operation analysis module and a server;
in specific implementation, the device analysis module, the historical operation monitoring module and the text analysis module are respectively connected with the storage module, the storage module is used for storing historical operation data and device data of the power transformation device, the storage module sends the historical operation data of the power transformation device to the historical operation monitoring module, and the storage module sends the device data of the power transformation device to the device analysis module;
specifically, the historical operation data includes the number of voltage abnormalities of the power transformation device, the voltage abnormality time at each voltage abnormality, the number of current abnormalities, the current abnormality time at each current abnormality, the number of temperature abnormalities, the temperature abnormality time at each temperature abnormality, and the like; the equipment data are the input use time, the equipment failure times, the equipment maintenance times and the like of the power transformation equipment;
the historical operation monitoring module is used for monitoring the historical operation condition of the power transformation equipment, and the monitoring process is specifically as follows:
marking the power transformation equipment as i, i=1, 2, … …, z, z being a positive integer;
acquiring voltage abnormality times YCi, current abnormality times LCi and temperature abnormality times WCi of the power transformation equipment;
then, voltage abnormality time of the power transformation equipment when the voltage is abnormal is obtained, time difference values between adjacent voltage abnormality times are calculated, and the time difference values between multiple groups of adjacent voltage abnormality times are added and summed to obtain an average value to obtain voltage abnormality interval duration YJTi of the power transformation equipment;
similarly, calculating to obtain the abnormal current interval duration LJTi and the abnormal temperature interval duration WJTi of the power transformation equipment;
the operation monitoring value YJi of the power transformation device is obtained through calculation of a formula YJi = (YJTi+LJTi+WJTi)/(YCi +LCi+ WCi);
the history operation monitoring module feeds back an operation monitoring value YJi of the power transformation equipment to a server, and the server sends the operation monitoring value YJi of the power transformation equipment to the supervision setting module;
the equipment analysis module is used for analyzing the equipment service condition of the power transformation equipment, and the analysis process is specifically as follows:
acquiring the input use time of the power transformation equipment, and subtracting the input use time from the current time of the server to obtain the equipment use time length STi of the power transformation equipment;
then obtaining the equipment failure times of the power transformation equipment, and marking the equipment failure times as GCi;
finally, acquiring the equipment maintenance times of the power transformation equipment, and marking the equipment maintenance times as XCi;
the device monitoring value SJi of the power transformation device is calculated by the formula SJi =stixa1+gci×a2+ XCi ×a3; wherein a1, a2 and a3 are weight coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero, so long as the values of the weight coefficients do not influence the positive-negative ratio relation between the parameters and the result values in the concrete implementation;
the equipment analysis module feeds the equipment monitoring value SJi of the power transformation equipment back to the server, and the server sends the equipment monitoring value SJi of the power transformation equipment to the supervision setting module;
the supervision setting module is used for setting supervision grades of the power transformation equipment, and the setting process is specifically as follows:
acquiring the operation monitoring value YJi and the equipment monitoring value SJi of the power transformation equipment obtained by calculation;
the supervision value JGi of the power transformation equipment is calculated by using a formula JGi = YJi ×α+ SJi ×β; wherein, alpha and beta are weight coefficients with fixed values, and the values of alpha and beta are larger than zero;
if JGi is less than X1, the supervision grade of the power transformation equipment is a third supervision grade;
if X1 is less than or equal to JGi and less than X2, the supervision level of the power transformation equipment is a second supervision level;
if X2 is less than or equal to JGi, the supervision level of the power transformation equipment is the first supervision level; wherein X1 and X2 are both supervision thresholds of fixed values, and X1 is less than X2;
it is understood that the third level of supervision is lower than the second level of supervision, which is lower than the first level of supervision;
the supervision setting module feeds the supervision level of the power transformation equipment back to the server, and the server sets supervision parameters of the power transformation equipment according to the supervision level and sends the supervision parameters to the operation analysis module;
specifically, the supervision parameters include a voltage fluctuation rate interval, a current fluctuation rate interval and a temperature fluctuation rate interval of the power transformation equipment;
in specific implementation, the setting process of the supervision parameters is specifically as follows;
if the monitoring level is the first monitoring level, the voltage fluctuation speed interval of the power transformation equipment is [ Y1, Y2 ], the current fluctuation speed interval is [ N1, N2), and the temperature fluctuation speed interval is [ M1, M2);
if the monitoring level is the second monitoring level, the voltage fluctuation speed interval of the power transformation equipment is [ Y2, Y3 ], the current fluctuation interval is [ N2, N3), and the temperature fluctuation speed interval is [ M2, M3);
if the monitoring level is the third monitoring level, the voltage fluctuation speed interval of the power transformation equipment is [ Y3, Y4], the current fluctuation speed interval is [ N3, N4], and the temperature fluctuation speed interval is [ M3, M4];
wherein Y1, Y2, Y3 and Y4 are all voltage fluctuation rate thresholds with fixed values, Y1 is more than Y2 is less than Y3 is less than Y4, N1, N2, N3 and N4 are all current fluctuation rate thresholds with fixed values, N1 is more than N2 and N3 is less than N4, M1, M2, M3 and M4 are all temperature fluctuation rate thresholds with fixed values, and M1 is more than M2 and M3 is less than M4;
the data acquisition module is used for acquiring real-time state data of the power transformation equipment and transmitting the real-time state data to the server, and the server transmits the real-time state data to the operation analysis module;
the real-time state data are real-time voltage values, real-time current values, real-time temperature values and the like of the power transformation equipment at different time points;
the operation analysis module is used for analyzing the real-time operation state of the power transformation equipment, and the analysis process is specifically as follows:
setting the working time of the power transformation equipment, and setting a plurality of time points in the working time;
then acquiring a real-time voltage value, a real-time current value and a real-time temperature value of the time-varying equipment at each time point;
calculating the voltage fluctuation rates of a plurality of groups of adjacent time point time-varying devices, and adding, summing and averaging the voltage fluctuation rates of the plurality of groups of adjacent time point time-varying devices to obtain the voltage fluctuation average rate of the power-varying devices;
illustrating: for example, the time points are t1, t2 and t3, the real-time voltage value at the time point t1 is DYt1, the real-time voltage value at the time point t2 is DYt, the real-time voltage value at the time point t3 is DYt3, the voltage fluctuation rate between the adjacent time point t1 and the time point t1 is | DYt2-DYt 1|/(t 2-t 1), and the voltage fluctuation rate between the adjacent time point t2 and the time point t3 is | DYt3-DYt 2|/(t 3-t 2);
similarly, calculating to obtain the current fluctuation average rate and the temperature fluctuation average rate of the power transformation equipment;
finally, acquiring the supervision level of the power transformation equipment, and acquiring corresponding supervision parameters of the power transformation equipment according to the supervision level to obtain a voltage fluctuation rate interval, a current fluctuation rate interval and a temperature fluctuation rate interval of the power transformation equipment;
generating a voltage normal signal if the voltage fluctuation average rate is in a voltage fluctuation rate interval, and generating a voltage abnormal signal if the voltage fluctuation average rate is not in the voltage fluctuation rate interval;
if the current fluctuation average speed is in the current fluctuation speed interval, generating a current normal signal, and if the current fluctuation average speed is not in the current fluctuation speed interval, generating a current abnormal signal;
if the temperature fluctuation average speed is in the temperature fluctuation speed interval, generating a temperature normal signal, and if the temperature fluctuation average speed is not in the temperature fluctuation speed interval, generating a temperature abnormal signal;
the operation analysis module feeds back a voltage normal signal, a voltage abnormal signal, a current normal signal, a current abnormal signal, a temperature normal signal or a temperature abnormal signal to the server, and the server integrates the voltage normal signal, the voltage abnormal signal, the current normal signal, the current abnormal signal, the temperature normal signal or the temperature abnormal signal into a real-time signal;
the data acquisition module is used for acquiring text information of the real-time signal and sending the text information of the real-time signal to the text analysis module;
the text information is the real-time character number of the real-time signal and the real-time stroke number of each character;
the storage module is also used for storing text information of different preset signals and sending the text information to the text analysis module, and the text analysis module is used for analyzing the text information when the power transformation equipment operates, and the analysis process is specifically as follows:
acquiring the real-time character number of a real-time signal;
taking the real-time character number as a first screening element of the real-time signal, screening different preset signals according to the first screening element, and inducing the preset signals conforming to the first screening element into a primary selection set;
then acquiring the real-time stroke number of each character, taking the real-time stroke number of each character as a second screening element of the real-time signal, screening preset signals in the primary selection set according to the second screening element, and calibrating the preset signals conforming to the second screening element as target signals;
the method comprises the steps of comparing the stroke number of each character in a preset signal with the real-time stroke number of each character in a real-time signal one by one according to the front-back sequence of the characters;
the text analysis module feeds back the target signal to the server, the server sends a preset signal corresponding to the target signal to the alarm terminal, and the alarm terminal sends out corresponding alarm information according to the preset signal;
in the implementation, the alarm terminal is an alarm arranged on the power transformation equipment, and the alarm can identify different preset signals and send out different alarms according to the preset signals;
the above formulas are all the dimensionality removal and numerical calculation, the size of the weight coefficient and the scale coefficient is a specific numerical value obtained by quantizing each parameter, and the size of the weight coefficient and the scale coefficient is only required to be not influenced as long as the proportional relation between the parameter and the quantized numerical value is not influenced.
In another embodiment, referring to fig. 2, based on another concept of the same invention, a method for supervising the operation of a transformer device based on text analysis is now provided, which specifically includes the following steps:
step S101, a storage module stores historical operation data and equipment data of the power transformation equipment, the historical operation data of the power transformation equipment is sent to a historical operation monitoring module, and the equipment data of the power transformation equipment is sent to an equipment analysis module;
step S102, monitoring historical operation conditions of the power transformation equipment through a historical operation monitoring module, obtaining voltage abnormality times, current abnormality times and temperature abnormality times of the power transformation equipment, obtaining voltage abnormality time of the power transformation equipment each time when the voltage is abnormal, calculating time difference values between adjacent voltage abnormality times, adding and summing the time difference values between multiple groups of adjacent voltage abnormality times to obtain average value to obtain voltage abnormality interval duration of the power transformation equipment, similarly, calculating the current abnormality interval duration and the temperature abnormality interval duration of the power transformation equipment, calculating operation monitoring values of the power transformation equipment, feeding back the operation monitoring values of the power transformation equipment to a server by the historical operation monitoring module, and sending the operation monitoring values of the power transformation equipment to a supervision setting module by the server; the equipment analysis module analyzes the equipment use condition of the power transformation equipment, obtains the input use time of the power transformation equipment, subtracts the input use time from the current time of the server to obtain the equipment use time of the power transformation equipment, then obtains the equipment failure times and the equipment maintenance times of the power transformation equipment, calculates the equipment monitoring value of the power transformation equipment, feeds back the equipment monitoring value of the power transformation equipment to the server, and sends the equipment monitoring value of the power transformation equipment to the supervision setting module;
step S103, a supervision setting module sets the supervision level of the power transformation equipment, obtains the operation monitoring value and the equipment monitoring value of the power transformation equipment, calculates the supervision value of the power transformation equipment, compares the supervision value with a supervision threshold, judges whether the supervision level of the power transformation equipment is a third supervision level, a second supervision level or a first supervision level, feeds back the supervision level of the power transformation equipment to a server, and sends the supervision parameters to an operation analysis module according to the supervision level;
step S104, the data acquisition module acquires real-time state data of the power transformation equipment and sends the real-time state data to the server, the server sends the real-time state data to the operation analysis module, the operation analysis module analyzes the real-time operation state of the power transformation equipment, the operation analysis module sets the operation time of the power transformation equipment, a plurality of time points are set in the operation time, then the real-time voltage value, the real-time current value and the real-time temperature value of the power transformation equipment at each time point are acquired, the voltage fluctuation rates of a plurality of groups of adjacent time points are calculated, the voltage fluctuation rates of the power transformation equipment are added and summed to obtain the voltage fluctuation average rate of the power transformation equipment, the same reason is adopted, the current fluctuation average rate and the temperature fluctuation average rate of the power transformation equipment are calculated, finally the supervision level of the power transformation equipment is obtained, the supervision parameters corresponding to the power transformation equipment are obtained according to the supervision level, the voltage fluctuation rate interval, the current fluctuation rate interval and the temperature fluctuation rate interval of the power transformation equipment are obtained, if the voltage fluctuation average rate is in the voltage fluctuation rate interval, a voltage normal signal is generated, if the voltage fluctuation average rate is not in the voltage fluctuation rate interval, a normal signal is generated, if the voltage fluctuation rate is not in the voltage fluctuation rate interval, a normal signal is generated, if the current signal is in the normal fluctuation rate, and the temperature fluctuation signal is in the normal current fluctuation rate signal is normal, if the normal fluctuation rate is normal current signal, the temperature fluctuation signal is normal fluctuation current, the temperature fluctuation is normal fluctuation rate is generated, and the normal fluctuation current fluctuation is, the temperature normal signal or the temperature abnormal signal is fed back to the server, and the server integrates the voltage normal signal, the voltage abnormal signal, the current normal signal, the current abnormal signal, the temperature normal signal or the temperature abnormal signal into a real-time signal;
step S105, the data acquisition module acquires text information of the real-time signals, sends the text information of the real-time signals to the text analysis module, analyzes the text information of the real-time signals when the power transformation equipment operates through the text analysis module, acquires the number of real-time characters of the real-time signals, takes the number of the real-time characters as a first screening element of the real-time signals, screens different preset signals according to the first screening element, summarizes the preset signals conforming to the first screening element into a first selection set, acquires the number of real-time strokes of each character, takes the number of the real-time strokes of each character as a second screening element of the real-time signals, screens the preset signals in the first selection set according to the second screening element, marks the preset signals conforming to the second screening element as target signals, the text analysis module feeds back the target signals to the server, the server sends the preset signals corresponding to the target signals to the alarm terminal, and the alarm terminal sends corresponding alarm information according to the preset signals.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The power transformation equipment operation supervision system based on text analysis is characterized by comprising a data acquisition module, a supervision setting module, an equipment analysis module, an alarm terminal, a historical operation monitoring module, a storage module, a text analysis module, an operation analysis module and a server, wherein the storage module is used for storing historical operation data and equipment data of the power transformation equipment, sending the historical operation data to the historical operation monitoring module and sending the equipment data to the equipment analysis module;
the historical operation monitoring module is used for monitoring the historical operation condition of the power transformation equipment, and the monitoring process is specifically as follows:
acquiring voltage abnormality times, current abnormality times and temperature abnormality times of the power transformation equipment;
then, voltage abnormality time of the power transformation equipment when the voltage is abnormal is obtained, time difference values between adjacent voltage abnormality times are calculated, and the time difference values between multiple groups of adjacent voltage abnormality times are added and summed to obtain average value to obtain voltage abnormality interval duration of the power transformation equipment;
similarly, calculating to obtain the abnormal interval duration of the current and the abnormal interval duration of the temperature of the power transformation equipment;
calculating an operation monitoring value of the power transformation equipment;
the historical operation monitoring module feeds back an operation monitoring value of the power transformation equipment to the server; the equipment analysis module is used for analyzing the equipment service condition of the power transformation equipment, and the analysis process is specifically as follows:
acquiring the input use time of the power transformation equipment, and subtracting the input use time from the current time of the server to obtain the equipment use time length of the power transformation equipment;
then obtaining the equipment failure times and equipment maintenance times of the power transformation equipment;
calculating an equipment monitoring value of the power transformation equipment;
the equipment analysis module feeds back the equipment monitoring value of the power transformation equipment to the server, and the server sends the operation monitoring value and the equipment monitoring value of the power transformation equipment to the supervision setting module;
the supervision setting module is used for setting supervision grades of the power transformation equipment, and the setting process is specifically as follows:
acquiring an operation monitoring value and an equipment monitoring value of power transformation equipment;
calculating a supervision value of the power transformation equipment;
the supervision value is compared with the supervision threshold value, and the supervision level of the power transformation equipment is judged to be a third supervision level, a second supervision level or a first supervision level;
the supervision setting module feeds the supervision level of the power transformation equipment back to the server, and the server sets supervision parameters of the power transformation equipment according to the supervision level and sends the supervision parameters to the operation analysis module;
the data acquisition module is used for acquiring real-time state data of the power transformation equipment and sending the real-time state data to the server, and the server sends the real-time state data to the operation analysis module; the operation analysis module is used for analyzing the real-time operation state of the power transformation equipment, generating a voltage normal signal, a voltage abnormal signal, a current normal signal, a current abnormal signal, a temperature normal signal or a temperature abnormal signal and feeding the voltage normal signal, the voltage abnormal signal, the current normal signal, the current abnormal signal, the temperature normal signal or the temperature abnormal signal back to the server, and integrating the voltage normal signal, the voltage abnormal signal, the current normal signal, the current abnormal signal, the temperature normal signal or the temperature abnormal signal into a real-time signal by the server;
the data acquisition module is used for acquiring text information of the real-time signals and sending the text information to the text analysis module; the storage module is also used for storing text information of different preset signals and sending the text information to the text analysis module, the text analysis module is used for analyzing the text information when the power transformation equipment operates, the target signals are obtained and fed back to the server, the server sends the preset signals corresponding to the target signals to the alarm terminal, and the alarm terminal sends corresponding alarm information according to the preset signals.
2. The text analysis-based power transformation equipment operation supervision system according to claim 1, wherein the historical operation data are the number of voltage anomalies of the power transformation equipment and the voltage anomaly time, the current anomaly time and the current anomaly time of each voltage anomaly, the temperature anomaly time and the temperature anomaly time of each current anomaly;
the equipment data are the input use time, the equipment failure times and the equipment maintenance times of the power transformation equipment.
3. The text analysis-based power transformation device operation supervision system according to claim 1, wherein the supervision parameters include a voltage fluctuation rate interval, a current fluctuation rate interval, and a temperature fluctuation rate interval of the power transformation device;
the third level of supervision is lower than the second level of supervision, which is lower than the first level of supervision.
4. The text analysis-based power transformation equipment operation supervision system according to claim 1, wherein the real-time state data are real-time voltage values, real-time current values and real-time temperature values of the power transformation equipment at different time points;
the text information is the real-time character number of the real-time signal and the real-time stroke number of each character.
5. The text analysis-based substation equipment operation supervision system according to claim 4, wherein the analysis process of the operation analysis module is specifically as follows:
setting the working time of the power transformation equipment, and setting a plurality of time points in the working time;
then acquiring a real-time voltage value, a real-time current value and a real-time temperature value of the time-varying equipment at each time point;
calculating the voltage fluctuation rates of a plurality of groups of adjacent time point time-varying devices, and adding, summing and averaging the voltage fluctuation rates of the plurality of groups of adjacent time point time-varying devices to obtain the voltage fluctuation average rate of the power-varying devices;
similarly, calculating to obtain the current fluctuation average rate and the temperature fluctuation average rate of the power transformation equipment;
finally, acquiring the supervision grade of the power transformation equipment, and acquiring the supervision parameters corresponding to the power transformation equipment according to the supervision grade;
generating a voltage normal signal if the voltage fluctuation average rate is in a voltage fluctuation rate interval, and generating a voltage abnormal signal if the voltage fluctuation average rate is not in the voltage fluctuation rate interval; if the current fluctuation average speed is in the current fluctuation speed interval, generating a current normal signal, and if the current fluctuation average speed is not in the current fluctuation speed interval, generating a current abnormal signal; if the temperature fluctuation average rate is in the temperature fluctuation rate interval, generating a temperature normal signal, and if the temperature fluctuation average rate is not in the temperature fluctuation rate interval, generating a temperature abnormal signal.
6. The text analysis-based power transformation equipment operation supervision system according to claim 5, wherein the text analysis module has the following analysis process:
acquiring the number of real-time characters of the real-time signal, taking the number of real-time characters as a first screening element of the real-time signal, screening different preset signals according to the first screening element, and inducing the preset signals conforming to the first screening element into a primary selection set;
then acquiring the real-time stroke number of each character, taking the real-time stroke number of each character as a second screening element of the real-time signal, screening preset signals in the primary selection set according to the second screening element, and calibrating the preset signals conforming to the second screening element as target signals;
and comparing the stroke number of each character in the preset signal with the real-time stroke number of each character in the real-time signal one by one according to the front-back sequence of the characters.
7. A method for supervising the operation of a power transformation device based on text analysis, characterized in that the method is based on the text analysis power transformation device operation supervision system according to any one of claims 1-6, and comprises the following steps:
step S101, a storage module stores historical operation data and equipment data of the power transformation equipment, the historical operation data of the power transformation equipment is sent to a historical operation monitoring module, and the equipment data of the power transformation equipment is sent to an equipment analysis module;
step S102, a historical operation monitoring module monitors historical operation conditions of the power transformation equipment, operation monitoring values of the power transformation equipment are obtained and sent to a supervision setting module, an equipment analysis module analyzes equipment use conditions of the power transformation equipment, and equipment monitoring values of the power transformation equipment are obtained and sent to the supervision setting module;
step S103, the supervision setting module sets the supervision level of the power transformation equipment to obtain the supervision level of the power transformation equipment, and the supervision parameters of the power transformation equipment are set according to the supervision level and sent to the operation analysis module;
step S104, the data acquisition module acquires real-time state data of the power transformation equipment and sends the data to the operation analysis module, and the operation analysis module analyzes the real-time operation state of the power transformation equipment to generate a voltage normal signal, a voltage abnormal signal, a current normal signal, a current abnormal signal, a temperature normal signal or a temperature abnormal signal;
step S105, the data acquisition module acquires text information of the real-time signal and sends the text information to the text analysis module, the text analysis module analyzes the text information when the power transformation equipment operates, and a target signal is obtained and sent to the alarm terminal.
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