CN114740303A - Fault monitoring system of wireless passive high-voltage switch cabinet - Google Patents
Fault monitoring system of wireless passive high-voltage switch cabinet Download PDFInfo
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- CN114740303A CN114740303A CN202210659256.8A CN202210659256A CN114740303A CN 114740303 A CN114740303 A CN 114740303A CN 202210659256 A CN202210659256 A CN 202210659256A CN 114740303 A CN114740303 A CN 114740303A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
- G01R31/3275—Fault detection or status indication
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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
- H02J13/00001—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 the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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Abstract
The invention relates to the technical field of high-voltage switch cabinets, in particular to a fault monitoring system of a wireless passive high-voltage switch cabinet, which is used for solving the problems that the existing monitoring analysis method of overheating of the high-voltage switch cabinet has inaccuracy and sidedness, deep and accurate analysis is difficult to be carried out on the overheating fault problem of the high-voltage switch cabinet, the stable operation of the high-voltage switch cabinet is difficult to be ensured, and the power development is hindered; according to the invention, the overheating faults of the high-voltage switch cabinet are accurately and comprehensively analyzed from different layers, and the regulation and control operation with corresponding strength is carried out on the high-voltage switch cabinet, so that the stable operation of the high-voltage switch cabinet is ensured while the deep monitoring and the accurate control of the overheating condition of the high-voltage switch cabinet are realized.
Description
Technical Field
The invention relates to the technical field of high-voltage switch cabinets, in particular to a fault monitoring system of a wireless passive high-voltage switch cabinet.
Background
The high-voltage switch cabinet is used as important electrical equipment in a current system, is usually used for the functions of on-off, control or protection and the like in power generation, power transmission, power distribution, electric energy conversion and consumption of an electric power system, is widely used in a power grid, has extremely high dependence on electric energy in modern society, and has higher dependence on electricity in areas with higher power consumption density, so that higher and higher requirements are provided for the operation reliability of the high-voltage switch cabinet;
in the application process of the high-voltage switch cabinet, the high-voltage switch cabinet often has overheating faults due to various heat exceeding standards, and if the overheating faults of the high-voltage switch cabinet are not monitored and analyzed in time, the stable operation of the high-voltage switch cabinet can be seriously influenced;
in the conventional monitoring of the overheating fault of the high-voltage switch cabinet, fault judgment is mostly carried out by measuring single data, inaccuracy and one-sidedness exist in the monitoring mode of the high-voltage switch cabinet, and the overheating fault problem of the high-voltage switch cabinet is difficult to carry out deep and accurate analysis, so that the stable operation of the high-voltage switch cabinet is difficult to ensure, and the power development is greatly hindered;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that the existing monitoring and analyzing method for the overheating fault of the high-voltage switch cabinet has inaccuracy and one-sidedness, the deep and accurate analysis of the overheating fault problem of the high-voltage switch cabinet is difficult, the stable operation of the high-voltage switch cabinet is difficult to ensure, and the power development is greatly hindered, preliminary and definite judgment and analysis of main factors causing the overheating condition of the high-voltage switch cabinet are carried out by utilizing the methods of equal volume division, normalization processing, interval substitution analysis and quantity summation and comparison, the overheating condition of the high-voltage switch cabinet is accurately and comprehensively analyzed from different layers, the regulation and control of different intensities are utilized, the accurate regulation and control of the high-voltage switch cabinet is further realized, the random extraction and range substitution comparison are utilized, the overheating condition of the high-voltage switch cabinet after different intensity operations are carried out is verified and analyzed, and then when having realized the overheated condition of high tension switchgear's deep and accurate management and control, also guaranteed high tension switchgear's steady operation, very big promotion electric power industry development, and provide a wireless passive high tension switchgear's fault monitoring system.
The purpose of the invention can be realized by the following technical scheme:
a fault monitoring system of a wireless passive high-voltage switch cabinet comprises a thermal fault monitoring platform, wherein a server is arranged in the thermal fault monitoring platform, and the server is in communication connection with a data acquisition unit, a primary analysis unit, a depth analysis unit, a control training unit, a verification and theoretic unit and a display terminal;
the thermal fault monitoring platform is used for analyzing and controlling overheating in the high-voltage switch cabinet, acquiring state information of the high-voltage switch cabinet through the data acquisition unit, and sending the state information to the primary analysis unit for correlation judgment analysis processing, so that a thermal influence super-large signal, a thermal influence large signal and a thermal influence normal signal are generated;
sending the heat-affected large signal and the heat-affected normal signal to a depth analysis unit for deep comprehensive analysis processing, generating a primary fault early warning signal, a secondary fault early warning signal and a tertiary fault early warning signal according to the deep comprehensive analysis processing, sending the heat-affected large signal, the primary fault early warning signal, the secondary fault early warning signal and the tertiary fault early warning signal to a control training unit for superheat control analysis processing, and generating a verification training instruction and a repeated training instruction according to the superheat control analysis processing;
and continuously monitoring and analyzing the overheating in the high-voltage switch cabinet again according to the repeated training instruction thermal fault monitoring platform, sending the verification training instruction to the verification theoretic unit for judging and analyzing again, generating an overheating effective management and control signal, an overheating invalid management and control signal and an overheating semi-effective management and control signal according to the results, and sending the overheating effective management and control signal, the overheating invalid management and control signal and the overheating semi-effective management and control signal to a display terminal for displaying and explaining.
Further, the specific operation steps of the association judgment analysis processing are as follows:
dividing the interior of a high-voltage switch cabinet into a plurality of units according to the space volume equal volume, and marking each unit volume as i, wherein i is {1, 2, 3 … … n };
acquiring the expansion magnitude, the temperature receiving magnitude and the void magnitude of each metal joint in each unit volume in the high-voltage switch cabinet, and carrying out normalization processing on the expansion magnitude, the temperature receiving magnitude and the void magnitude to obtain the contact resistance coefficient of each metal joint;
setting a contact resistance comparison reference interval, and comparing the contact resistance coefficient Dzx of each metal joint in each unit volumeijSubstituting into the contact resistance comparison reference interval Qu1 for comparison analysis, generating a first excessive signal when the contact resistance coefficient is larger than the maximum value of the contact resistance comparison reference interval, generating a second excessive signal when the contact resistance coefficient is in the contact resistance comparison reference interval, and generating a second excessive signal when the contact resistance coefficient is in the contact resistance comparison reference intervalGenerating a third excessive signal when the contact resistance coefficient is smaller than the minimum value of the contact resistance comparison reference interval;
respectively counting the number sum of a first excess signal, a second excess signal and a third excess signal generated in each unit volume, respectively marking the number sum as sl1, sl2 and sl3, if sl1 > sl2 > sl3 and sl1 is greater than or equal to B, generating a heat influence overlarge signal, if sl2 > sl1 > sl3 and sl2 are greater than or equal to B, generating a heat influence large signal, if sl3 > sl2 > sl1 and sl3 is greater than B, generating a heat influence normal signal, wherein B = (sl 1 + sl2 + sl 3) ÷ 2.
Further, the specific operation steps of the deep comprehensive analysis treatment are as follows:
s1: acquiring environmental factor information in the high-voltage switch cabinet in unit time in real time, analyzing and processing the environmental degree according to the environmental factor information, and generating an overheating positive correlation signal caused by the environment and an overheating negative correlation signal caused by the environment;
s2: acquiring operation factor information in a high-voltage switch cabinet in unit time in real time, analyzing and processing the operation degree according to the operation factor information, and generating an overheating positive correlation signal caused by operation and an overheating negative correlation signal caused by operation according to the operation factor information;
s3: according to the steps S1-S2, an environment type judgment signal and an operation type judgment signal are obtained and integrated and analyzed, when the signals captured simultaneously are positive correlation signals of environment overheating and positive correlation signals of operation overheating, a primary fault early warning signal is generated, when the signals captured simultaneously are negative correlation signals of environment overheating and negative correlation signals of operation overheating, a tertiary fault early warning signal is generated, and under other conditions, secondary early warning signals are generated.
Further, the specific operation steps of the environmental degree analysis processing are as follows:
acquiring a direct time value, an air flux value, a heat component value and an environment temperature value in the environment factor information in the high-voltage switch cabinet in unit time in real time, and respectively marking the values as ysk、qtk、rfkAnd hwkAnd performing formula analysis on the obtained product according to the formula
Determining Hux the environmental coefficient of the high-voltage switch cabinetkWherein g1, g2, g3 and g4 are weight factor coefficients of a straight-time value, a gas flux value, a thermal component value and a loop temperature value, respectively, and g3 > g2 > g4 > g1 > 0, g1 + g2 + g3 + g4 ═ 9.0263, wherein k ═ {1, 2, 3 … … o };
carrying out mean analysis on the environment coefficients of the high-voltage switch cabinet in unit time to obtain a mean environment coefficient, establishing a two-dimensional coordinate system according to each environment coefficient in unit time, drawing the mean environment coefficient on the two-dimensional coordinate system as a comparison line, calibrating the environment coefficient as a related signal when the environment coefficient is on or above the comparison line, and calibrating the environment coefficient as an unrelated signal when the environment coefficient is below the comparison line;
and respectively counting the sum of the quantity of the relevant signals and the quantity of the irrelevant signals calibrated in unit time, and carrying out comparative analysis on the sum, if the sum of the quantity of the relevant signals is more than or equal to the sum of the quantity of the irrelevant signals, generating an environment-caused overheating positive correlation signal, and if the sum of the quantity of the relevant signals is less than the sum of the quantity of the irrelevant signals, generating an environment-caused overheating negative correlation signal.
Further, the specific operation steps of the operation level analysis processing are as follows:
acquiring output current and rated current in operation factor information in a high-voltage switch cabinet in unit time in real time;
substituting each output current in unit time into the rated current for comparison and analysis, generating an overload operation signal when the output current is greater than or equal to the rated current, and generating a normal operation signal when the output current is less than or equal to the rated current;
and respectively counting the sum of the number of the overload signals generated in unit time and the sum of the number of the normal operation signals, comparing and analyzing the sum, generating a signal with positive correlation to cause overheating in operation if the sum of the number of the overload signals is more than or equal to the sum of the number of the normal operation signals, and generating a signal with negative correlation to cause overheating in operation if the sum of the number of the overload signals is more than or equal to the sum of the number of the normal operation signals.
Further, the specific operation steps of the superheat control analysis treatment are as follows:
SS 1: when the three-level fault early warning signal is received, no maintenance operation is required to be executed, and a repeated training instruction is generated;
SS 2: when receiving a heat affected ultra-large signal or a primary fault early warning signal, simultaneously executing cooling, load reduction and joint cleaning operations of a first intensity, and generating a verification training instruction;
SS 3: and when the secondary fault early warning signal is received, simultaneously executing the operations of cooling, load reduction and joint cleaning of the second intensity, and generating a verification training instruction.
Further, the specific operation steps of the re-determination analysis processing are as follows:
setting a verification time interval T according to a verification training instruction, randomly capturing continuous 10 time points from the verification time interval T, and acquiring the temperature receiving value and the environment temperature value of the high-voltage switch cabinet at the continuous 10 time points;
setting a temperature reference range value corresponding to the temperature receiving value and the ring temperature value, generating an overheating effective control signal when the temperature receiving value and the ring temperature value are respectively in the corresponding temperature reference range values, generating an overheating invalid control signal when the temperature receiving value and the ring temperature value are not respectively in the corresponding temperature reference range values, and generating an overheating semi-effective control signal under other conditions.
Compared with the prior art, the invention has the beneficial effects that:
(1) according to the method, the modes of equal-volume division, normalization processing, interval substitution analysis and quantity summation comparison are utilized, so that the primary and definite judgment and analysis of the main factors causing the overheating fault of the high-voltage switch cabinet are realized, and meanwhile, a foundation is laid for the accurate monitoring and analysis of the overheating fault of the high-voltage switch cabinet;
(2) according to the invention, by utilizing symbolic calibration, formulated analysis and coordinate model construction and analysis modes, the overheating condition of the high-voltage switch cabinet is accurately analyzed from an environmental influence level, and by utilizing substitution comparison, quantity summation and signalization analysis modes, the overheating fault of the high-voltage switch cabinet is accurately analyzed from an operation level, and comprehensive and accurate judgment and analysis on the overheating condition of the high-voltage switch cabinet are realized by utilizing a simultaneous capturing and judgment analysis mode, and the fault grade of the high-voltage switch cabinet is clarified;
(3) according to the invention, through executing the regulation and control operations with different intensities, the accurate regulation and control of the high-voltage switch cabinet are realized, and the overheating condition of the high-voltage switch cabinet after the operations with different intensities are executed is verified and analyzed by utilizing a random extraction and range substitution comparison mode, so that the overheating regulation and control effect of the high-voltage switch cabinet is accurately analyzed, further, the deep monitoring and accurate control of the overheating condition of the high-voltage switch cabinet are realized, meanwhile, the stable operation of the high-voltage switch cabinet is also ensured, and the development of the power industry is greatly promoted.
Drawings
To facilitate understanding by those skilled in the art, the present invention will be further described with reference to the accompanying drawings in which:
FIG. 1 is a general block diagram of the system of the present invention;
FIG. 2 is a schematic flow diagram of a primary analysis unit of the present invention;
FIG. 3 is a schematic flow chart of the deep analysis unit according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, a fault monitoring system of a wireless passive high-voltage switch cabinet comprises a thermal fault monitoring platform, wherein a server is arranged in the thermal fault monitoring platform, and the server is in communication connection with a data acquisition unit, a primary analysis unit, a depth analysis unit, a management and control training unit, a verification and theoretic unit and a display terminal;
the thermal fault monitoring platform is used for analyzing and controlling overheating in the high-voltage switch cabinet, acquiring state information of a metal joint in the high-voltage switch cabinet in real time by using the data acquisition unit and sending the state information to the primary analysis unit;
it should be noted that, a plurality of metal connectors are arranged in the high-voltage switch cabinet, when the temperature of the high-voltage switch cabinet is overheated, the overheated temperature may cause the metal connectors to generate slow expansion creep, when the expansion creep is severe, the metal connectors may generate position dislocation between the connector metal and the connecting piece to form micro gaps, and the metal connectors may gradually oxidize due to the influence of the micro gaps and the temperature to form contact resistance, and along with the repeated overheating of the high-voltage switch cabinet, the effective contact area between the metal connectors and the connecting piece is reduced, the contact resistance gradually increases, and the high-voltage switch cabinet is further overheated, which causes the fault of the high-voltage light-on circuit;
the state information is used for representing a type of data information of state expression of each metal joint in the high-voltage switch cabinet, and the state information comprises an expansion quantity value, a temperature receiving quantity value and a void quantity value, wherein the expansion quantity value refers to a data quantity value of metal joint length change caused by unit temperature of the metal joint under the isobaric condition, and when an expression numerical value of the expansion quantity value is larger, the length change of the metal joint is larger;
the larger the length change of the metal joint is, the more prominent the overheating phenomenon of the high-voltage switch cabinet is, the temperature-receiving value refers to the data value expressed by the temperature of each metal joint, when the expression value of the temperature-receiving value is larger, the resistance of the contact area is easier to increase, the gap value refers to the data value of the gap generated between the metal joint and the connecting piece when the metal joint is heated and expanded, and when the expression value of the gap value is larger, the more obvious the phenomenon can be shown;
as shown in fig. 2, when the primary analysis unit receives the state information of the metal joint in the high-voltage switch cabinet, the correlation determination analysis processing is performed according to the state information, and the specific operation process is as follows:
dividing the interior of a high-voltage switch cabinet into a plurality of units according to the space volume equal volume, and marking each unit volume as i, wherein i is a positive integer which is greater than or equal to 1, and represents each space volume;
obtaining the expansion quantity value, the temperature-contact quantity value and the void quantity value in the state information of each metal joint in each unit volume in the high-voltage switch cabinet, and respectively marking the expansion quantity value, the temperature-contact quantity value and the void quantity value as pzij、wdijAnd kxijAnd normalizing the data according to a formula
Determining the contact resistance coefficient of each metal joint DzxijWherein j is {1, 2, 3 … … m }, e1, e2 and e3 are correction factor coefficients of an expansion magnitude value, a temperature-contact magnitude value and a void magnitude value, respectively, and e2 > e1 > e3 > 0, e1 + e2 + e3 is 0.9025, j is represented as each metal joint;
it should be noted that, the correction factor coefficient is used to correct the deviation of each parameter in the formula calculation process, so that the calculation is more accurate and the parameter data is more accurate;
providing a contact resistance comparison reference interval Qu1, and comparing the contact resistance coefficient Dzx of each metal joint in each unit volumeijSubstituting into contact resistance comparison reference interval Qu1 for comparison analysis, and obtaining contact resistance coefficient DzxijWhen the contact resistance is larger than the maximum value of the contact resistance comparison reference interval Qu1, a first excessive signal is generated, and when the contact resistance coefficient is DzxijWhen the contact resistance is in the contact resistance comparison reference interval Qu1, a second excessive signal is generated, and when the contact resistance coefficient DzxijGenerating a third excess signal if the contact resistance is less than the minimum value of the contact resistance comparison reference interval Qu 1;
it is assumed that the contact resistance comparison reference interval Qu1 is [10, 20 ]]When contact resistivity is DzxijValues greater than 20 each generate a first excess signal when the contact resistance coefficient Dzx is greaterijValues of 10 to 20 each generate a second excess signal when the contact resistance coefficient is DzxijWhen the value is less than the value 10, a third excessive signal is generated;
respectively counting the sum of the quantities of a first excess signal, a second excess signal and a third excess signal generated in each unit volume, and respectively marking the sum as sl1, sl2 and sl3, if sl1 is greater than sl2 is greater than sl3 and sl1 is greater than or equal to B, generating a heat influence super-large signal, wherein B = (sl 1 + sl2 + sl 3) ÷ 2, and B represents half of the sum of the signals to be generated;
sending the generated heat-affected ultra-large signal to a control training unit, and when the control training unit receives the heat-affected ultra-large signal, performing superheat control analysis processing according to the heat-affected ultra-large signal, wherein the specific operation process is as follows:
when receiving a heat affected ultra-large signal, simultaneously executing cooling, load reduction and joint cleaning operations with first intensity, generating a verification training instruction, and sending the verification training instruction to a verification theoretic unit;
when the verification theoretic unit receives the verification training instruction and performs re-judgment analysis processing according to the verification training instruction, the specific operation process is as follows:
setting a verification time interval T according to a verification training instruction, randomly capturing 10 continuous time points from the verification time interval T, acquiring the continuous temperature receiving value and the continuous loop temperature value of the high-voltage switch cabinet at the 10 time points, and respectively marking the temperature receiving value and the continuous loop temperature value as wdt*And hwt*Wherein T belongs to T, and T ═ 1, 2, 3 … … 10 };
setting a temperature reference range value corresponding to the temperature receiving value and the ring temperature value, calibrating the temperature reference range value of the temperature receiving value as Fa1, calibrating the temperature reference range value of the ring temperature value as Fa2, and when the temperature receiving value wd ist*Within the temperature reference range Fa1 and the ring temperature value hwt*When the temperature reference range value is within the range of Fa2, an overheat effective control signal is generated,
when the value of temperature value wdt*Outside the temperature reference range Fa1 and around the temperature value hwt*When the temperature is out of the temperature reference range value designated as Fa2, generating an overheating invalid control signal;
on the other hand, generating overheating semi-effective control signals, and sending the generated overheating effective control signals, overheating invalid control signals and overheating semi-effective control signals to a display terminal for displaying instructions;
it should be noted that, the effective control signal of overheating is used to indicate that the overheating phenomenon of the high voltage switch cabinet is completely and effectively controlled after various overhaul operations, while the ineffective control signal of overheating indicates that the overheating phenomenon of the high voltage switch cabinet is far from reaching the control effect after various overhaul operations, and the semi-effective control signal of overheating is used to indicate that the overheating phenomenon of the high voltage switch cabinet is effectively controlled after various overhaul operations, but the effective control effect only reaches half of the expected control end.
Example two:
as shown in fig. 1, the data acquisition unit is further configured to acquire environmental factor information and operation factor information of the high-voltage switch cabinet, and send both the environmental factor information and the operation factor information to the deep analysis unit;
the operation factor information comprises output current and rated current, and the environment factor information comprises an expansion quantity value, a temperature receiving quantity value and a void quantity value, wherein the direct time quantity value refers to a data quantity value of the time length of direct sunlight at the installation position of the high-voltage switch cabinet, when the expression value of the direct time quantity value is larger, the longer the time of the direct sunlight at the high-voltage switch cabinet in one day is indicated, the air flux value refers to a data quantity value of the air circulation rate of the environment where the high-voltage switch cabinet is located in unit time, the heat component value refers to a data quantity value of the quantity of heat emitted outwards by the high-voltage switch cabinet in unit time, the environment temperature value refers to a data quantity value of the environment temperature where the high-voltage switch cabinet is located, and when the expression value of the environment temperature value is larger, the environment temperature is indicated to be higher;
as shown in fig. 2, the primary analysis unit performs correlation determination analysis processing on the received state information of the high-voltage switch cabinet, and the specific operation process is as follows:
dividing the interior of a high-voltage switch cabinet into a plurality of units according to the equal volume of space volumes, marking each unit volume as i, wherein i is {1, 2, 3 … … n }, and i represents each space volume;
obtaining the expansion value and the connection of each metal joint in each unit volume in the high-voltage switch cabinetThe temperature value and the void volume value are normalized to obtain the contact resistance coefficient Dzx of each metal jointij；
The contact resistance coefficient Dzx of each metal joint in each unit volumeijSubstituting the contact resistance comparison reference interval Qu1 for comparison analysis, and generating a first excess signal, a second excess signal and a third excess signal according to the comparison analysis;
respectively counting the sum of the first excess signal, the second excess signal and the third excess signal generated in each unit volume, and respectively marking the sum as sl1, sl2 and sl3, if sl2 > sl1 > sl3 is met, and sl2 is not less than B, generating a heat influence large signal, if sl3 > sl2 > sl1 is met, and sl3 > B, generating a heat influence normal signal, and sending the generated heat influence large signal and the generated heat influence normal signal to a depth analysis unit;
as shown in fig. 3, when the depth analysis unit receives the large heat affected signal and the normal heat affected signal, and performs the deep layer comprehensive analysis process according to the received signals, the specific operation process is as follows:
acquiring a direct time value, a gas flux value, a heat component value and a loop temperature value in environmental factor information in a high-voltage switch cabinet in unit time in real time, and respectively marking the values as ysk、qtk、rfkAnd hwkAnd performing formula analysis on the obtained product according to the formula
Determining Hux the environmental coefficient of the high-voltage switch cabinetkWherein g1, g2, g3 and g4 are weight factor coefficients of a direct time value, a gas flux value, a thermal component value and a loop temperature value, respectively, and g3 > g2 > g4 > g1 > 0, g1 + g2 + g3 + g4 ═ 9.0263, wherein k ═ {1, 2, 3 … … o }, and k represents time;
it should be noted that the weighting factor coefficient is used to balance the proportional weight of each item of data in the formula calculation, thereby promoting the accuracy of the calculation result, and when the environment coefficient HuxkWhen the expression value is larger, the larger the expression value is, the smaller the overheating factor influencing the high-voltage switch cabinet is, and the smaller the overheating factor is;
environmental coefficient of high-voltage switch cabinet in unit time HuxkPerforming mean value analysis according to formula
Calculating a mean environmental coefficient JUx, taking time as a horizontal coordinate and taking an environmental coefficient as a vertical coordinate, and establishing a two-dimensional coordinate system according to the mean environmental coefficient JUx;
hux for each environmental coefficient in unit timekDrawing on a two-dimensional coordinate system, drawing the average environmental coefficient JUx on the two-dimensional coordinate system as a contrast line, and when the environmental coefficient HuxkAt or above the contrast line, the ambient coefficient Hux is determinedkCalibrated as a function of signal, when ambient coefficient HuxkBelow the contrast line, the environmental coefficient Hux is determinedkScaling to an irrelevant signal;
respectively counting the sum of the quantity of the relevant signals and the quantity of the irrelevant signals which are calibrated in unit time, respectively calibrating the sum as he1 and he2, and carrying out comparative analysis on the sum, wherein if he1 is more than or equal to he2, an environment-caused overheating positive correlation signal is generated, and if he1 is more than or equal to he2, an environment-caused overheating negative correlation signal is generated;
acquiring output current in the operation factor information in the high-voltage switch cabinet in unit time in real time, and respectively marking the output current as SckObtaining rated current and calibrating the rated current as Ed;
substituting each output current in unit time into rated current for comparison analysis, generating overload operation signal when the output current Sck is greater than the rated current Ed, and generating overload operation signal when the output current Sc is greater than the rated current EdkWhen the current is less than or equal to the rated current Ed, generating a normal operation signal;
respectively counting the number sum of the generated overload signals in unit time and the number sum of the generated overload signals and the normal operation signals, respectively marking the overload signals as he3 and he4, and carrying out comparative analysis on the signals, wherein if he3 is more than or equal to he4, an operation overheating positive correlation signal is generated, and if he3 is more than or equal to he4, an operation overheating negative correlation signal is generated;
acquiring an environment type judgment signal and an operation type judgment signal, randomly capturing a signal from the two types of signals, integrating and analyzing, generating a primary fault early warning signal when the simultaneously captured signals are respectively an environment overheating positive correlation signal and an operation overheating positive correlation signal, generating a tertiary fault early warning signal when the simultaneously captured signals are respectively an environment overheating negative correlation signal and an operation overheating negative correlation signal, and generating a secondary early warning signal under other conditions;
the generated primary fault early warning signal, secondary fault early warning signal and tertiary fault early warning signal are all sent to the control training unit, when the control training unit receives overheating early warning signals of each grade, overheating management and control analysis processing is carried out according to the overheating early warning signals, and the specific operation process is as follows:
when the three-level fault early warning signal is received, any maintenance operation is not required to be executed, a repeated training instruction is generated, next-stage continuous analysis and control are carried out on the overheating of the high-voltage switch cabinet according to the repeated training instruction, and the operation is repeated;
when a primary fault early warning signal is received, simultaneously executing cooling, load reduction and joint cleaning operations with first intensity, and generating a verification training instruction;
the intensity is used for representing data expression of the execution force of the maintenance execution operation on the high-voltage switch cabinet, the first intensity is greater than the second intensity in expression degree, the first intensity is used for representing the maintenance of the highest intensity when the high-voltage switch cabinet is subjected to overheating control, and the second intensity is used for representing the maintenance of the next highest intensity when the high-voltage switch cabinet is subjected to overheating control;
and sending the generated verification training instruction to a verification theoretic unit for judging, analyzing and processing, generating an overheating effective control signal, an overheating invalid control signal and an overheating semi-effective control signal according to the judging and analyzing, and sending the generated overheating effective control signal, the overheating invalid control signal and the overheating semi-effective control signal to a display terminal for displaying and explaining.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
such as the formula:
；
collecting multiple groups of sample data and setting corresponding weight factor coefficient for each group of sample data by the technicians in the field; substituting the set weight factor coefficient and the collected sample data into a formula, forming a quaternary linear equation set by any four formulas, screening the calculated coefficients and taking the average value to obtain values of g1, g2, g3 and g4 which are 3.2501, 1.0203, 2.3609 and 2.395 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding weight factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected.
When the wireless temperature measurement device is used, various data information in the high-voltage switch cabinet is acquired by adopting a wireless temperature measurement technology, the state information of each metal joint in the high-voltage switch cabinet is acquired and subjected to correlation judgment analysis processing, and preliminary and definite judgment analysis of main factors causing overheating faults of the high-voltage switch cabinet is realized and a foundation is laid for fault monitoring of the high-voltage switch cabinet at the same time through the modes of equal-volume division, normalization processing, interval substitution analysis and quantity summation comparison;
the method comprises the steps that environment factor information and operation factor information in the high-voltage switch cabinet are obtained, environment degree analysis processing and operation degree analysis processing are respectively carried out, the overheating condition of the high-voltage switch cabinet is accurately analyzed from an environment influence level by means of symbolic calibration, formulaic analysis and coordinate model construction and analysis, and the overheating fault of the high-voltage switch cabinet is accurately analyzed from an operation level by means of substitution comparison, quantity summation and signalization analysis;
the environment level type signal and the operation level type signal are integrated and analyzed, and comprehensive and accurate judgment and analysis of the overheating fault of the high-voltage switch cabinet are realized by simultaneously capturing, judging and analyzing, and signals of various levels for judging the overheating of the high-voltage switch cabinet are generated;
each grade signal according to overheated judgement carries out overheated accuse analysis processes, regulation and control operation through carrying out different intensity, and then realized the accurate regulation and control to high tension switchgear, and utilize the mode of random extraction and scope substitution comparison, verify the analysis through the overheated condition of the high tension switchgear after carrying out different intensity operations, and then carry out accurate analysis to the effect of the overheated regulation and control of high tension switchgear, and then when having realized the deep analysis and the accurate monitoring of the overheated trouble of high tension switchgear, also can carry out corresponding management and control to the trouble of high tension switchgear, thereby high tension switchgear's steady operation has been guaranteed, very big promotion electric power industry development.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A fault monitoring system of a wireless passive high-voltage switch cabinet comprises a thermal fault monitoring platform and is characterized in that a server is arranged inside the thermal fault monitoring platform, and the server is in communication connection with a data acquisition unit, a primary analysis unit, a depth analysis unit, a control training unit, a verification and theoretic unit and a display terminal;
the thermal fault monitoring platform is used for analyzing and controlling overheating in the high-voltage switch cabinet, acquiring state information of the high-voltage switch cabinet through the data acquisition unit, and sending the state information to the primary analysis unit for correlation judgment analysis processing, so that a thermal influence super-large signal, a thermal influence large signal and a thermal influence normal signal are generated;
sending the heat-affected large signal and the heat-affected normal signal to a depth analysis unit for deep comprehensive analysis processing, generating a primary fault early warning signal, a secondary fault early warning signal and a tertiary fault early warning signal according to the deep comprehensive analysis processing, sending the heat-affected large signal, the primary fault early warning signal, the secondary fault early warning signal and the tertiary fault early warning signal to a control training unit for superheat control analysis processing, and generating a verification training instruction and a repeated training instruction according to the superheat control analysis processing;
and continuously monitoring and analyzing the overheating in the high-voltage switch cabinet again according to the repeated training instruction thermal fault monitoring platform, sending the verification training instruction to the verification theoretic unit for judging and analyzing again, generating an overheating effective management and control signal, an overheating invalid management and control signal and an overheating semi-effective management and control signal according to the results, and sending the overheating effective management and control signal, the overheating invalid management and control signal and the overheating semi-effective management and control signal to a display terminal for displaying and explaining.
2. The fault monitoring system of the wireless and passive high-voltage switch cabinet as claimed in claim 1, wherein the specific operation steps of the association decision analysis processing are as follows:
dividing the interior of a high-voltage switch cabinet into a plurality of units according to the space volume equal volume, and marking each unit volume as i, wherein i is {1, 2, 3 … … n };
acquiring the expansion magnitude, the temperature receiving magnitude and the void magnitude of each metal joint in each unit volume in the high-voltage switch cabinet, and carrying out normalization processing on the expansion magnitude, the temperature receiving magnitude and the void magnitude to obtain the contact resistance coefficient of each metal joint;
setting a contact resistance comparison reference interval, substituting the contact resistance coefficient of each metal joint in each unit volume into the contact resistance comparison reference interval for comparison analysis, generating a first excessive signal when the contact resistance coefficient is larger than the maximum value of the contact resistance comparison reference interval, generating a second excessive signal when the contact resistance coefficient is in the contact resistance comparison reference interval, and generating a third excessive signal when the contact resistance coefficient is smaller than the minimum value of the contact resistance comparison reference interval;
respectively counting the number sum of a first excess signal, a second excess signal and a third excess signal generated in each unit volume, respectively marking the number sum as sl1, sl2 and sl3, if sl1 > sl2 > sl3 and sl1 is greater than or equal to B, generating a heat influence overlarge signal, if sl2 > sl1 > sl3 and sl2 are greater than or equal to B, generating a heat influence large signal, if sl3 > sl2 > sl1 and sl3 is greater than B, generating a heat influence normal signal, wherein B = (sl 1 + sl2 + sl 3) ÷ 2.
3. The fault monitoring system of the wireless and passive high-voltage switch cabinet according to claim 1, wherein the specific operation steps of the deep comprehensive analysis and processing are as follows:
s1: acquiring environmental factor information in the high-voltage switch cabinet in unit time in real time, analyzing and processing the environmental degree according to the environmental factor information, and generating an overheating positive correlation signal caused by the environment and an overheating negative correlation signal caused by the environment;
s2: acquiring operation factor information in a high-voltage switch cabinet in unit time in real time, analyzing and processing the operation degree according to the operation factor information, and generating an overheating positive correlation signal caused by operation and an overheating negative correlation signal caused by operation according to the operation factor information;
s3: according to the steps S1-S2, an environment type judgment signal and an operation type judgment signal are obtained and integrated and analyzed, when the signals captured simultaneously are positive correlation signals of environment overheating and positive correlation signals of operation overheating, a primary fault early warning signal is generated, when the signals captured simultaneously are negative correlation signals of environment overheating and negative correlation signals of operation overheating, a tertiary fault early warning signal is generated, and under other conditions, secondary early warning signals are generated.
4. The fault monitoring system of the wireless and passive high-voltage switch cabinet as claimed in claim 3, wherein the specific operation steps of the environmental degree analysis processing are as follows:
real-time acquisition of time value, air flux value and heat value in environmental factor information in high-voltage switch cabinet in unit timeComponent values and value of the ambient temperature, and are respectively designated as ysk、qtk、rfkAnd hwkAnd performing formula analysis on the obtained product according to the formula
Determining Hux environmental coefficient of high-voltage switch cabinetkWherein g1, g2, g3, and g4 are weighting factor coefficients of a straight-time value, a gas flux value, a heat component value, and a loop temperature value, respectively, and g3 > g2 > g4 > g1 > 0, g1 + g2 + g3 + g4 ═ 9.0263, where k ═ {1, 2, 3 … … o };
carrying out mean value analysis on the environment coefficients of the high-voltage switch cabinet in unit time to obtain a mean value environment coefficient, establishing a two-dimensional coordinate system according to each environment coefficient in unit time, drawing the mean value environment coefficient on the two-dimensional coordinate system as a comparison line, calibrating the environment coefficient into a related signal when the environment coefficient is on or above the comparison line, and calibrating the environment coefficient into an unrelated signal when the environment coefficient is below the comparison line;
and respectively counting the sum of the quantity of the relevant signals and the quantity of the irrelevant signals calibrated in unit time, and carrying out comparative analysis on the sum, if the sum of the quantity of the relevant signals is more than or equal to the sum of the quantity of the irrelevant signals, generating an environment-caused overheating positive correlation signal, and if the sum of the quantity of the relevant signals is less than the sum of the quantity of the irrelevant signals, generating an environment-caused overheating negative correlation signal.
5. The fault monitoring system of the wireless and passive high-voltage switch cabinet according to claim 3, wherein the specific operation steps of the operation degree analysis processing are as follows:
acquiring output current and rated current in operation factor information in a high-voltage switch cabinet in unit time in real time;
substituting each output current in unit time into rated current for comparison and analysis, generating an overload operation signal when the output current is greater than or equal to the rated current, and generating a normal operation signal when the output current is less than or equal to the rated current;
and respectively counting the sum of the number of the generated overload signals and the sum of the number of the normal operation signals in unit time, comparing and analyzing the sum, if the sum of the number of the overload signals is more than or equal to the sum of the number of the normal operation signals, generating an overheating positive correlation signal caused by operation, and if the sum of the number of the overload signals is more than or equal to the sum of the number of the normal operation signals, generating an overheating negative correlation signal caused by operation.
6. The fault monitoring system of the wireless and passive high-voltage switch cabinet as claimed in claim 1, wherein the specific operation steps of the superheat control analysis processing are as follows:
SS 1: when the three-level fault early warning signal is received, no maintenance operation is required to be executed, and a repeated training instruction is generated;
SS 2: when receiving a heat affected ultra-large signal or a primary fault early warning signal, simultaneously executing cooling, load reduction and joint cleaning operations of a first intensity, and generating a verification training instruction;
SS 3: and when a secondary fault early warning signal is received, cooling, load reduction and joint cleaning operations of the second intensity are simultaneously executed, and a verification training instruction is generated.
7. The fault monitoring system of the wireless and passive high-voltage switch cabinet according to claim 1, wherein the specific operation steps of the re-determination analysis processing are as follows:
setting a verification time interval T according to a verification training instruction, randomly capturing continuous 10 time points from the verification time interval T, and acquiring the temperature receiving value and the environment temperature value of the high-voltage switch cabinet at the continuous 10 time points;
setting a temperature reference range value corresponding to the temperature receiving value and the ring temperature value, generating an overheating effective control signal when the temperature receiving value and the ring temperature value are respectively in the corresponding temperature reference range values, generating an overheating invalid control signal when the temperature receiving value and the ring temperature value are not respectively in the corresponding temperature reference range values, and generating an overheating semi-effective control signal under other conditions.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115081493A (en) * | 2022-08-23 | 2022-09-20 | 山东理工大学 | Variable frequency speed regulation device operation control system based on data analysis |
| CN116056433A (en) * | 2023-03-31 | 2023-05-02 | 深圳市鼎泰佳创科技有限公司 | Heat dissipation method for OBC measurement and control cabinet of vehicle-mounted charger |
Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20010048375A1 (en) * | 2000-05-23 | 2001-12-06 | Kabushiki Kaisha Toshiba | Apparatus monitoring system and apparatus monitoring method |
| WO2008011563A2 (en) * | 2006-07-20 | 2008-01-24 | Edsa Micro Corporation | Systems and methods for alarm filtering and management within a real-time data acquisition and monitoring environment |
| CN102853941A (en) * | 2012-09-06 | 2013-01-02 | 上海欣影电力科技发展有限公司 | Wireless temperature on-line monitoring system for base station type switch cabinet |
| CN103529351A (en) * | 2013-10-29 | 2014-01-22 | 李宏仁 | System and method for monitoring thermal defect of high-tension switch cabinet on line |
| CN103529333A (en) * | 2013-10-25 | 2014-01-22 | 国家电网公司 | Device and method for detecting thermal fault of high-tension switch cabinet |
| CN108287288A (en) * | 2018-02-06 | 2018-07-17 | 李宏仁 | A kind of switchgear thermal defect monitoring system and analysis method and comprehensive control device |
| CN109324270A (en) * | 2018-08-07 | 2019-02-12 | 国网山东省电力公司淄博供电公司 | A kind of high-tension switch cabinet intelligent online monitoring system |
| CN109781268A (en) * | 2019-03-16 | 2019-05-21 | 福州大学 | Keypoint part temperature monitoring system in a kind of switchgear based on the infrared thermovision technology of low cost |
| CN111123160A (en) * | 2019-12-02 | 2020-05-08 | 国网浙江省电力有限公司台州供电公司 | Fault positioning method and device for secondary circuit of switch cabinet mechanism |
| CN111289144A (en) * | 2020-03-27 | 2020-06-16 | 杭州电力设备制造有限公司 | Bus fault monitoring system and method for high-voltage equipment |
| CN111596205A (en) * | 2020-06-05 | 2020-08-28 | 国网天津市电力公司电力科学研究院 | Relay service life prediction test system based on degradation sensitive parameter change trend analysis |
| CN111722068A (en) * | 2020-06-16 | 2020-09-29 | 江苏方天电力技术有限公司 | High-voltage cable monitoring system and method |
| WO2020220286A1 (en) * | 2019-04-30 | 2020-11-05 | Abb Power Grids Switzerland Ag | Power cable joint device and electric system |
| CN112104071A (en) * | 2020-07-08 | 2020-12-18 | 国网北京电力公司昌平供电公司 | Intelligent substation synthesizes monitored control system based on big dipper thing networking |
| US20210003640A1 (en) * | 2019-07-01 | 2021-01-07 | Wuhan University | Fault locating method and system based on multi-layer evaluation model |
| US20210065466A1 (en) * | 2019-08-30 | 2021-03-04 | Hyundai Motor Company | Failure cause analyzing system using numerical data of vehicle equipment and method thereof |
| CN112611963A (en) * | 2020-11-23 | 2021-04-06 | 江苏科技大学 | Relay accelerated storage degradation experiment parameter testing and analyzing system and testing method |
| CN114123512A (en) * | 2021-12-01 | 2022-03-01 | 山东汇能电气有限公司 | High tension switchgear remote control system based on it is intelligent |
| CN114184229A (en) * | 2021-11-30 | 2022-03-15 | 山东汇能电气有限公司 | Switch cabinet operation environment monitoring system |
| CN114200273A (en) * | 2022-02-21 | 2022-03-18 | 东营市沃格艾迪石油技术有限公司 | Fault prediction system for online insulation monitoring of electric submersible pump |
| CN114372705A (en) * | 2022-01-10 | 2022-04-19 | 淮北祥泰科技有限责任公司 | Intelligent switch operation analysis system for high-risk industry |
| CN114386632A (en) * | 2022-01-17 | 2022-04-22 | 浙江容大电力工程有限公司 | Power distribution operation and maintenance system based on electric power big data |
| CN114430199A (en) * | 2022-04-01 | 2022-05-03 | 山东汇能电气有限公司 | Cubical switchboard operation supervisory systems based on big data |
-
2022
- 2022-06-13 CN CN202210659256.8A patent/CN114740303B/en active Active
Patent Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20010048375A1 (en) * | 2000-05-23 | 2001-12-06 | Kabushiki Kaisha Toshiba | Apparatus monitoring system and apparatus monitoring method |
| WO2008011563A2 (en) * | 2006-07-20 | 2008-01-24 | Edsa Micro Corporation | Systems and methods for alarm filtering and management within a real-time data acquisition and monitoring environment |
| CN102853941A (en) * | 2012-09-06 | 2013-01-02 | 上海欣影电力科技发展有限公司 | Wireless temperature on-line monitoring system for base station type switch cabinet |
| CN103529333A (en) * | 2013-10-25 | 2014-01-22 | 国家电网公司 | Device and method for detecting thermal fault of high-tension switch cabinet |
| WO2015058687A1 (en) * | 2013-10-25 | 2015-04-30 | 国家电网公司 | Detecting device and detecting method for thermal fault of high-tension switch cabinet |
| CN103529351A (en) * | 2013-10-29 | 2014-01-22 | 李宏仁 | System and method for monitoring thermal defect of high-tension switch cabinet on line |
| CN108287288A (en) * | 2018-02-06 | 2018-07-17 | 李宏仁 | A kind of switchgear thermal defect monitoring system and analysis method and comprehensive control device |
| CN109324270A (en) * | 2018-08-07 | 2019-02-12 | 国网山东省电力公司淄博供电公司 | A kind of high-tension switch cabinet intelligent online monitoring system |
| CN109781268A (en) * | 2019-03-16 | 2019-05-21 | 福州大学 | Keypoint part temperature monitoring system in a kind of switchgear based on the infrared thermovision technology of low cost |
| WO2020220286A1 (en) * | 2019-04-30 | 2020-11-05 | Abb Power Grids Switzerland Ag | Power cable joint device and electric system |
| US20210003640A1 (en) * | 2019-07-01 | 2021-01-07 | Wuhan University | Fault locating method and system based on multi-layer evaluation model |
| US20210065466A1 (en) * | 2019-08-30 | 2021-03-04 | Hyundai Motor Company | Failure cause analyzing system using numerical data of vehicle equipment and method thereof |
| CN111123160A (en) * | 2019-12-02 | 2020-05-08 | 国网浙江省电力有限公司台州供电公司 | Fault positioning method and device for secondary circuit of switch cabinet mechanism |
| CN111289144A (en) * | 2020-03-27 | 2020-06-16 | 杭州电力设备制造有限公司 | Bus fault monitoring system and method for high-voltage equipment |
| CN111596205A (en) * | 2020-06-05 | 2020-08-28 | 国网天津市电力公司电力科学研究院 | Relay service life prediction test system based on degradation sensitive parameter change trend analysis |
| CN111722068A (en) * | 2020-06-16 | 2020-09-29 | 江苏方天电力技术有限公司 | High-voltage cable monitoring system and method |
| CN112104071A (en) * | 2020-07-08 | 2020-12-18 | 国网北京电力公司昌平供电公司 | Intelligent substation synthesizes monitored control system based on big dipper thing networking |
| CN112611963A (en) * | 2020-11-23 | 2021-04-06 | 江苏科技大学 | Relay accelerated storage degradation experiment parameter testing and analyzing system and testing method |
| CN114184229A (en) * | 2021-11-30 | 2022-03-15 | 山东汇能电气有限公司 | Switch cabinet operation environment monitoring system |
| CN114123512A (en) * | 2021-12-01 | 2022-03-01 | 山东汇能电气有限公司 | High tension switchgear remote control system based on it is intelligent |
| CN114372705A (en) * | 2022-01-10 | 2022-04-19 | 淮北祥泰科技有限责任公司 | Intelligent switch operation analysis system for high-risk industry |
| CN114386632A (en) * | 2022-01-17 | 2022-04-22 | 浙江容大电力工程有限公司 | Power distribution operation and maintenance system based on electric power big data |
| CN114200273A (en) * | 2022-02-21 | 2022-03-18 | 东营市沃格艾迪石油技术有限公司 | Fault prediction system for online insulation monitoring of electric submersible pump |
| CN114430199A (en) * | 2022-04-01 | 2022-05-03 | 山东汇能电气有限公司 | Cubical switchboard operation supervisory systems based on big data |
Non-Patent Citations (3)
| Title |
|---|
| LAND, HB 等: "Addressing Arc Flash Problems in Low Voltage Switchboards: A Case Study in Arc Fault Protection", 《IEEE/IAS 50TH INDUSTRIAL & COMMERCIAL POWER SYSTEMS TEHCNICAL CONFERENCE (I&CPS)》 * |
| 孙正来等: "高压开关柜温度在线监测技术研究", 《电力信息化》 * |
| 张云朋等: "开关柜温升在线监测技术研究", 《安全、健康和环境》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115081493A (en) * | 2022-08-23 | 2022-09-20 | 山东理工大学 | Variable frequency speed regulation device operation control system based on data analysis |
| CN115081493B (en) * | 2022-08-23 | 2022-11-01 | 山东理工大学 | Frequency conversion speed regulation device operation control system based on data analysis |
| CN116056433A (en) * | 2023-03-31 | 2023-05-02 | 深圳市鼎泰佳创科技有限公司 | Heat dissipation method for OBC measurement and control cabinet of vehicle-mounted charger |
| CN116056433B (en) * | 2023-03-31 | 2023-09-15 | 深圳市鼎泰佳创科技有限公司 | Heat dissipation method for OBC measurement and control cabinet of vehicle-mounted charger |
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