CN117811213A - Low-voltage power distribution cabinet fault diagnosis system based on data analysis - Google Patents
Low-voltage power distribution cabinet fault diagnosis system based on data analysis Download PDFInfo
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- CN117811213A CN117811213A CN202410005158.1A CN202410005158A CN117811213A CN 117811213 A CN117811213 A CN 117811213A CN 202410005158 A CN202410005158 A CN 202410005158A CN 117811213 A CN117811213 A CN 117811213A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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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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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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- Human Computer Interaction (AREA)
- Electromagnetism (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to the technical field of power fault diagnosis, in particular to a low-voltage power distribution cabinet fault diagnosis system based on data analysis, which comprises a supervision platform, a data acquisition unit, a fault resolution unit, a self-checking evaluation unit, an obstruction analysis unit, an electrical risk unit, a combined interference unit and an early warning display unit, wherein the supervision platform is used for monitoring the fault of a low-voltage power distribution cabinet; according to the invention, the abnormal sound data is subjected to operation supervision feedback analysis, and meanwhile, the point-to-point comparison analysis is performed by combining the historical operation abnormal sound conditions, so that the utilization rate of each data is improved, the early warning management is performed in time by judging whether the low-voltage power distribution cabinet is normal in operation or not, so that the operation safety and stability of the low-voltage power distribution cabinet are ensured, and the data fusion risk interference assessment analysis is performed in an information feedback mode so as to judge whether the abnormal sound of the low-voltage power distribution cabinet is caused by the linkage interference of various factors or not, so that the low-voltage power distribution cabinet is reasonably managed according to the information feedback conditions, and the management effect of the low-voltage power distribution cabinet is improved.
Description
Technical Field
The invention relates to the technical field of power fault diagnosis, in particular to a low-voltage power distribution cabinet fault diagnosis system based on data analysis.
Background
At present, along with the progress of electric power science and technology information technology and the continuous improvement of social demands, the requirements of users on the safety and convenience degree of a power distribution system are higher and higher, intelligent power distribution of the power distribution system is realized, the users can conveniently monitor electric equipment in real time, meanwhile, the safety performance of power distribution is improved, the power distribution system also plays a great role in improving the safety performance of power distribution, a plurality of power distribution lines are usually arranged, each power distribution line is provided with a circuit breaker and a plurality of electric equipment connected with the circuit breaker, and in the power utilization process, if any power distribution line has power failure, the users can hardly find the failure of the power distribution line in time, so that the timely processing of the failure is unfavorable;
in order to ensure safe and reliable operation of a power distribution network, reduce occurrence of power equipment of the power distribution network, the premonitory operation characteristics before the power equipment fails must be timely and accurately mastered, potential failure risks of the power equipment are monitored, identified and early-warned, hidden dangers are timely eliminated, and the existing operation supervision of a low-voltage power distribution cabinet mostly adopts two systems of post maintenance and regular overhaul, however, the existing management and control force and management mode of the low-voltage power distribution cabinet have one-sided performance and inaccuracy, the failure state of the switch cabinet is difficult to manage and control by utilizing a real-time monitoring means, stable operation of the switch cabinet cannot be guaranteed, safe operation of a power system cannot be guaranteed, development of the power system is greatly hindered, analysis and feedback of data causing abnormal noise of the low-voltage power distribution cabinet cannot be carried out, and management effects and management accuracy of the low-voltage power distribution cabinet are further reduced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a low-voltage power distribution cabinet fault diagnosis system based on data analysis, which solves the technical defects, and the invention performs operation supervision feedback analysis on abnormal sound data, performs point-to-point comparison analysis on the abnormal sound condition of historical operation, is beneficial to improving the utilization rate of each data so as to improve the accuracy of analysis results, judges whether the low-voltage power distribution cabinet operates normally or not through analysis so as to perform feedback early warning management in time, ensures the operation safety and stability of the low-voltage power distribution cabinet, performs safe operation supervision operation on state data in an information feedback mode so as to judge whether the buzzer of the low-voltage power distribution cabinet operates normally or not, and knows whether the abnormal sound of the low-voltage power distribution cabinet is caused by the fault of the buzzer or not so as to reasonably and pertinently maintain the fault point.
The aim of the invention can be achieved by the following technical scheme: a low-voltage power distribution cabinet fault diagnosis system based on data analysis comprises a supervision platform, a data acquisition unit, a fault resolution unit, a self-checking evaluation unit, an obstruction analysis unit, an electrical risk unit, a combined interference unit and an early warning display unit;
when the supervision platform generates a management command, the management command is sent to the data acquisition unit, the data acquisition unit immediately acquires abnormal sound data of the low-voltage power distribution cabinet when receiving the management command, the abnormal sound data comprises abnormal sound characteristic values, the abnormal sound characteristic values are sent to the fault resolution unit, the fault resolution unit immediately carries out operation supervision feedback analysis on the abnormal sound data after receiving the abnormal sound data, the obtained risk signals are sent to the self-checking evaluation unit and the obstruction analysis unit, and the obtained continuous signals and interval signals are sent to the early warning display unit;
the self-checking evaluation unit immediately acquires state data of the buzzer of the low-voltage power distribution cabinet after receiving the risk signal, wherein the state data comprises an environmental influence value and an operation interference value, carries out safe operation supervision operation on the state data, and sends the obtained effective signal and verification signal to the early warning display unit through the fault resolution unit;
the method comprises the steps that after a risk signal is received, a barrier analysis unit immediately collects mechanical data and electrical data of a low-voltage power distribution cabinet, wherein the mechanical data comprise a wear risk value and a rotation abnormal value, the electrical data comprise a line end contact value and a capacitance management value, the electrical data are sent to an electrical risk unit, meanwhile, state supervision feedback evaluation operation is carried out on the mechanical data, an obtained mechanical risk evaluation coefficient JX is sent to a combined interference unit, and an obtained feedback signal is sent to an early warning display unit;
the electrical risk unit immediately performs electrical influence supervision feedback operation on the electrical data after receiving the electrical data, and sends an obtained influence signal to the early warning display unit through the obstruction analysis unit;
and the combined interference unit immediately performs data fusion risk interference assessment analysis after receiving the mechanical risk assessment coefficient JX, and sends the obtained alarm signal to the early warning display unit through the obstruction analysis unit.
Preferably, the operation supervision feedback analysis process of the fault resolution unit is as follows:
the method comprises the steps of collecting time length from starting operation time to finishing operation time of a low-voltage power distribution cabinet, marking the time length as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, obtaining abnormal sound characteristic values of the low-voltage power distribution cabinet in each sub-time period, wherein the abnormal sound characteristic values represent parts of abnormal sound risk values exceeding a preset abnormal sound risk value threshold, the abnormal sound risk values represent differences between maximum values and minimum values of the abnormal sound values in the sub-time periods, simultaneously obtaining historical abnormal sound characteristic values of the normal low-voltage power distribution cabinet in each sub-time period, comparing the abnormal sound characteristic values with the historical abnormal sound characteristic values, and if the abnormal sound characteristic values are larger than the historical abnormal sound characteristic values, obtaining the number of the abnormal sound characteristic values which are larger than the corresponding sub-time periods of the historical abnormal sound characteristic values, marking the abnormal sound characteristic values as risk difference values, and comparing the risk difference values with preset risk difference value thresholds stored in the abnormal sound risk difference values.
If the risk difference value is smaller than a preset risk difference value threshold value, no signal is generated;
if the risk difference value is greater than or equal to a preset risk difference value threshold, generating a risk signal, when the risk signal is generated, acquiring a risk difference value corresponding to the risk signal, further acquiring a sub-time period corresponding to the risk difference value, marking the sub-time period as an abnormal sound time period, acquiring interval duration between the abnormal sound time periods, further establishing a rectangular coordinate system by taking the number of the interval durations as an X axis and taking the interval duration as a Y axis, drawing an interval duration curve in a dot drawing mode, acquiring the ratio of the number of line segment lengths formed by two connected dots to the preset line segment length to the number of bus segments from the interval duration curve, marking the ratio as a characteristic evaluation value, and comparing the characteristic evaluation value with a preset characteristic evaluation value threshold recorded and stored in the characteristic evaluation value:
if the feature evaluation value is smaller than a preset feature evaluation value threshold, generating a continuous signal;
and if the characteristic evaluation value is greater than or equal to a preset characteristic evaluation value threshold value, generating an interval signal.
Preferably, the safety operation supervision operation process of the self-checking evaluation unit is as follows:
s1: acquiring environment influence values of a buzzer of a low-voltage power distribution cabinet in each sub-time period, wherein the environment influence values represent the number of deviations of the numerical values corresponding to environment characteristic parameters from a preset threshold value, the environment characteristic parameters comprise environment temperature risk values and environment humidity average values, the environment temperature risk values represent the duration corresponding to the first intersection of a temperature characteristic curve and the preset temperature characteristic curve, and then the product value is obtained after the data normalization processing of the acute angle degrees enclosed by the first intersection of the temperature characteristic curve and the preset temperature characteristic curve, so that an environment influence value set A is constructed;
s2: acquiring operation interference values of buzzers of the low-voltage power distribution cabinet in each sub-time period, wherein the operation interference values represent the number of the corresponding values of the operation parameters exceeding a preset threshold value, and the sum values obtained after data normalization processing of the number of the corresponding values of the line parameters exceeding the preset threshold value, the operation parameters represent the harmonic distortion rate of the power supply current and the average value of the power supply voltage, and the line parameters comprise the reactive power of the line and the line loss rate change value, so that a set B of the operation interference values is constructed;
s3: obtaining the sum of the numbers, corresponding to the subsets, in the set A and the set B exceeding the preset threshold, marking the sum of the numbers, corresponding to the subsets, in the set A and the set B exceeding the preset threshold as an operation performance coefficient, and comparing the operation performance coefficient with the preset operation performance coefficient threshold recorded and stored in the operation performance coefficient:
if the ratio between the operation performance coefficient and the preset operation performance coefficient threshold is smaller than 1, generating an effective signal;
and if the ratio of the operation performance coefficient to the preset operation performance coefficient threshold value is more than or equal to 1, generating a verification signal.
Preferably, the state supervision feedback evaluation operation process of the obstruction analysis unit is as follows:
acquiring a wear risk value and a rotation abnormal value of a low-voltage power distribution cabinet in a time threshold, wherein the wear risk value represents a part of the bearing wear amount exceeding a preset bearing wear amount, and then the product value is obtained by carrying out data normalization processing on the wear risk value and a lubricating oil temperature average value, the rotation abnormal value represents a product value obtained by carrying out data normalization processing on a part of the motor vibration frequency average value exceeding the preset motor vibration frequency average value and a part of the motor running temperature average value exceeding the preset motor running temperature average value, and the wear risk value and the rotation abnormal value are respectively marked as MS and XZ;
according to the formulaObtaining a mechanical risk assessment coefficient, wherein a1 and a2 are preset scale factor coefficients of a wear risk value and a rotation abnormal value respectively, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.221, JX is the mechanical risk assessment coefficient, and the mechanical risk assessment coefficient JX is compared with a preset mechanical risk assessment coefficient threshold value recorded and stored in the mechanical risk assessment coefficient JX:
if the mechanical risk assessment coefficient JX is smaller than a preset mechanical risk assessment coefficient threshold value, no signal is generated;
and if the mechanical risk assessment coefficient JX is greater than or equal to a preset mechanical risk assessment coefficient threshold value, generating a feedback signal.
Preferably, the electrical impact supervision feedback operation process of the electrical risk unit is as follows:
t1: obtaining a line end contact value of the low-voltage power distribution cabinet within a time threshold, wherein the line end contact value represents a part of a line port contact area which is lower than a preset line port contact area, and then the product value is obtained after data normalization processing is carried out on the line end contact value and a line port oxidation area, the line end contact value and a preset line end contact value threshold are compared and analyzed, and if the line end contact value is larger than the preset line end contact value threshold, the part of the line end contact value which is larger than the preset line end contact value threshold is marked as a contact potential value;
t2: acquiring a capacitance management value of the low-voltage power distribution cabinet in a time threshold, wherein the capacitance management value represents a ratio of a capacitance maintenance interval time to a failure rate after data normalization processing, and then comparing and analyzing the capacitance management value with a preset capacitance management value threshold value, and if the capacitance management value is larger than the preset capacitance management value threshold value, marking a part of the capacitance management value larger than the preset capacitance management value threshold value as a capacitance influence value;
t3: comparing the contact potential value and the capacitance influence value with a preset contact potential value threshold value and a preset capacitance influence value threshold value which are recorded and stored in the contact potential value and the capacitance influence value:
if the contact potential value is smaller than the preset contact potential value threshold value and the capacitance influence value is smaller than the preset capacitance influence value threshold value, no signal is generated;
and generating an influence signal if the contact potential value is greater than or equal to a preset contact potential value threshold or the capacitance influence value is greater than or equal to a preset capacitance influence value threshold.
Preferably, the data fusion risk interference assessment analysis process of the combined interference unit is as follows:
acquiring a mechanical risk assessment coefficient JX in a time threshold, acquiring a contact potential value and a capacitance influence value in the time threshold, and acquiring a management matching value of a low-voltage power distribution cabinet in the time threshold, wherein the management matching value represents a ratio of the total starting operation time of the low-voltage power distribution cabinet to the time from the moment of being put into use to the current moment, and the ratio is obtained by carrying out data normalization on an interval time average value between the management matching value and the continuous maintenance times, and meanwhile, the contact potential value, the capacitance influence value and the management matching value are respectively marked as JQ, DY and GP;
according to the formulaObtaining a fusion influence evaluation coefficient, wherein f1, f2, f3 and f4 are respectively a mechanical risk evaluation coefficient, a contact potential value, a capacitance influence value and a preset weight factor coefficient for managing a matching value, f1, f2, f3 and f4 are positive numbers larger than zero, and f5 is a preset compensation factorThe coefficient is 2.181, PR is a fusion influence evaluation coefficient, and the fusion influence evaluation coefficient PR is compared with a preset fusion influence evaluation coefficient threshold value recorded and stored in the fusion influence evaluation coefficient PR:
if the fusion influence evaluation coefficient PR is smaller than a preset fusion influence evaluation coefficient threshold value, no signal is generated;
and if the fusion influence evaluation coefficient PR is greater than or equal to a preset fusion influence evaluation coefficient threshold value, generating an alarm signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, through performing operation supervision feedback analysis on abnormal sound data and performing point-to-point comparison analysis on historical operation abnormal sound conditions, the utilization rate of each data is improved, so that the accuracy of analysis results is improved, whether the low-voltage power distribution cabinet operates normally or not is judged through analysis, so that feedback early warning management is performed timely, the operation safety and stability of the low-voltage power distribution cabinet are ensured, and safety operation supervision operation is performed on state data in an information feedback mode, so that whether the buzzer of the low-voltage power distribution cabinet operates normally or not is judged, and whether the abnormal sound of the low-voltage power distribution cabinet is caused by the fault of the buzzer or not is known, so that the fault point is maintained reasonably and pointedly;
(2) According to the method, the abnormal sound causes are analyzed in a deep manner, namely, mechanical and electrical points are analyzed, mechanical data and electrical data are respectively analyzed, so that whether the abnormal sound of the low-voltage power distribution cabinet is caused by mechanical factors or electrical factors or not is judged, the mechanical factors or the electrical factors are managed in time, and the operation influence of the mechanical factors or the electrical factors on the low-voltage power distribution cabinet is reduced;
(3) According to the invention, the data fusion risk interference assessment analysis is carried out in an information feedback mode so as to judge whether abnormal noise of the low-voltage power distribution cabinet is caused by the linkage interference of various factors, so that the low-voltage power distribution cabinet is rationally managed according to the information feedback condition, and the accuracy of an analysis result is improved by comprehensively analyzing the data, so that the management effect of the low-voltage power distribution cabinet is improved.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
fig. 2 is a partial analysis reference diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
Embodiment one:
referring to fig. 1 to 2, the invention discloses a fault diagnosis system of a low-voltage power distribution cabinet based on data analysis, which comprises a supervision platform, a data acquisition unit, a fault resolution unit, a self-checking evaluation unit, an obstruction analysis unit, an electrical risk unit, a combined interference unit and an early warning display unit, wherein the supervision platform is in one-way communication connection with the data acquisition unit, the data acquisition unit is in one-way communication connection with the fault resolution unit, the fault resolution unit is in two-way communication connection with the self-checking evaluation unit, the fault resolution unit is in one-way communication connection with the obstruction analysis unit and the early warning display unit, the obstruction analysis unit is in two-way communication connection with the electrical risk unit and the combined interference unit, the electrical risk unit is in one-way communication connection with the combined interference unit, and the obstruction analysis unit is in one-way communication connection with the early warning display unit;
when the supervision platform generates the management instruction, and send the management instruction to the data acquisition unit, the data acquisition unit immediately gathers the abnormal sound data of low-voltage power distribution cabinet when receiving the management instruction, the abnormal sound data includes abnormal sound characteristic value, and send the abnormal sound characteristic value to the fault resolution unit, the fault resolution unit immediately carries out operation supervision feedback analysis to the abnormal sound data after receiving the abnormal sound data, whether normal in order to judge low-voltage power distribution cabinet operation, in order to timely carry out feedback early warning management, in order to guarantee the operational safety and the stability of low-voltage power distribution cabinet, specific operation supervision feedback analysis process is as follows:
the method comprises the steps of collecting time length from starting operation time to finishing operation time of a low-voltage power distribution cabinet, marking the time length as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, obtaining abnormal sound characteristic values of the low-voltage power distribution cabinet in each sub-time period, wherein the abnormal sound characteristic values represent parts of abnormal sound risk values exceeding a preset abnormal sound risk value threshold, the abnormal sound risk values represent differences between maximum values and minimum values of the abnormal sound values in the sub-time periods, simultaneously obtaining historical abnormal sound characteristic values of the normal low-voltage power distribution cabinet in each sub-time period, comparing the abnormal sound characteristic values with the historical abnormal sound characteristic values, and if the abnormal sound characteristic values are larger than the historical abnormal sound characteristic values, obtaining the number of the abnormal sound characteristic values which are larger than the corresponding sub-time periods of the historical abnormal sound characteristic values, marking the abnormal sound characteristic values as risk difference values, and comparing the risk difference values with preset risk difference value thresholds stored in the abnormal sound risk difference values.
If the risk difference value is smaller than a preset risk difference value threshold value, no signal is generated;
if the risk difference value is greater than or equal to a preset risk difference value threshold value, generating a risk signal, sending the risk signal to a self-checking evaluation unit and an obstruction analysis unit, acquiring a risk difference value corresponding to the risk signal when the risk signal is generated, further acquiring a sub-time period corresponding to the risk difference value, marking the sub-time period as an abnormal sound time period, acquiring interval duration between the abnormal sound time periods, further establishing a rectangular coordinate system by taking the number of the interval durations as an X axis and taking the interval duration as a Y axis, drawing an interval duration curve in a dot drawing mode, acquiring the ratio of the number of line segments with the length exceeding the preset line segment length and the number of bus segments formed by two connected dots from the interval duration curve, marking the characteristic evaluation value as a characteristic evaluation value, and comparing the characteristic evaluation value with the preset characteristic evaluation value threshold value stored in the characteristic evaluation value:
if the feature evaluation value is smaller than a preset feature evaluation value threshold, generating a continuous signal;
if the feature evaluation value is greater than or equal to a preset feature evaluation value threshold value, generating an interval signal, and sending the continuous signal and the interval signal to an early warning display unit, wherein the early warning display unit immediately displays preset early warning characters corresponding to the continuous signal and the interval signal after receiving the continuous signal and the interval signal, the preset early warning characters corresponding to the continuous signal are continuous abnormal sound faults, and the preset early warning characters corresponding to the interval signal are interval abnormal sound faults, so that management personnel can reversely manage the low-voltage power distribution cabinet in a combined and targeted mode according to different feedback, the management efficiency of the low-voltage power distribution cabinet is improved, and meanwhile, the operation safety and stability of the low-voltage power distribution cabinet are ensured;
the self-checking evaluation unit immediately acquires state data of the low-voltage power distribution cabinet buzzer after receiving the risk signal, wherein the state data comprises an environmental influence value and an operation interference value, and carries out safe operation supervision operation on the state data to judge whether the low-voltage power distribution cabinet buzzer normally operates or not so as to know whether abnormal sound of the low-voltage power distribution cabinet is caused by the fault of the buzzer or not, so that a fault point is maintained reasonably and pertinently, and the specific safe operation supervision operation process is as follows:
the method comprises the steps that environmental influence values of a low-voltage power distribution cabinet buzzer in each sub-time period are obtained, the environmental influence values represent the number of the corresponding numerical values of environmental characteristic parameters deviating from a preset threshold value, the environmental characteristic parameters comprise an environmental temperature risk value, an environmental humidity average value and the like, the environmental temperature risk value represents the duration corresponding to the first intersection of a temperature characteristic curve and the preset temperature characteristic curve, then the product value is obtained after data normalization processing of the acute angle degrees enclosed by the first intersection of the temperature characteristic curve and the preset temperature characteristic curve, so that an environmental influence value set A is constructed, and the higher the numerical value of the environmental influence value is, the higher the abnormal risk of operation of the low-voltage power distribution cabinet buzzer is, and the higher the abnormal risk of fault of the low-voltage power distribution cabinet buzzer is needed to be described;
acquiring operation interference values of the low-voltage power distribution cabinet buzzers in each sub-time period, wherein the operation interference values represent the number of the operation parameters, the number of which exceeds a preset threshold value, and the sum value is obtained by carrying out data normalization processing on the operation interference values and the number of the operation parameters, the number of which exceeds the preset threshold value, the operation parameters represent the harmonic distortion rate of power supply current, the average value of power supply voltage and the like, and the line parameters comprise reactive power of lines, line loss rate change values and the like, so that a set B of the operation interference values is constructed, and the higher the number of the operation interference values is, the higher the abnormal risk of the operation of the low-voltage power distribution cabinet buzzers is;
obtaining the sum of the numbers, corresponding to the subsets, in the set A and the set B exceeding the preset threshold, marking the sum of the numbers, corresponding to the subsets, in the set A and the set B exceeding the preset threshold as an operation performance coefficient, and comparing the operation performance coefficient with the preset operation performance coefficient threshold recorded and stored in the operation performance coefficient:
if the ratio between the operation performance coefficient and the preset operation performance coefficient threshold is smaller than 1, generating an effective signal;
if the ratio between the operation performance coefficient and the preset operation performance coefficient threshold is greater than or equal to 1, generating a verification signal, sending an effective signal and the verification signal to an early warning display unit through a fault resolution unit, and immediately displaying preset early warning characters corresponding to the effective signal and the verification signal after the early warning display unit receives the effective signal and the verification signal, so that a management staff can accurately know whether the analysis result of the abnormal fault sound of the low-voltage power distribution cabinet is accurate according to the information feedback condition, and the management of the low-voltage power distribution cabinet is reasonable.
Embodiment two:
the obstruction analysis unit immediately collects mechanical data and electrical data of the low-voltage power distribution cabinet after receiving the risk signal, wherein the mechanical data comprises a wear risk value and a rotation abnormal value, the electrical data comprises a line end contact value and a capacitance management value, the electrical data is sent to the electrical risk unit, and meanwhile, state supervision feedback evaluation operation is carried out on the mechanical data to judge whether abnormal sound of the low-voltage power distribution cabinet is caused by mechanical factors or not, so that the mechanical factors are managed timely, the operation influence of the mechanical factors on the low-voltage power distribution cabinet is reduced, and the specific state supervision feedback evaluation operation process is as follows:
acquiring a wear risk value and a rotation abnormal value of a low-voltage power distribution cabinet within a time threshold, wherein the wear risk value represents a part of a bearing wear amount exceeding a preset bearing wear amount, and then the product value is obtained by carrying out data normalization processing on the part of the bearing wear amount and a lubricating oil temperature average value, the rotation abnormal value represents a product value obtained by carrying out data normalization processing on a part of a motor vibration frequency average value exceeding the preset motor vibration frequency average value and a part of a motor running temperature average value exceeding a preset motor running temperature average value threshold, and the wear risk value and the rotation abnormal value are respectively marked as MS and XZ;
according to the formulaObtaining a mechanical risk assessment coefficient, wherein a1 and a2 are preset scale factor coefficients of a wear risk value and a rotation abnormal value respectively, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.221, JX is the mechanical risk assessment coefficient, the mechanical risk assessment coefficient JX is sent to a joint interference unit, and the mechanical risk assessment coefficient JX is compared with a preset mechanical risk assessment coefficient threshold value recorded and stored in the mechanical risk assessment coefficient JX:
if the mechanical risk assessment coefficient JX is smaller than a preset mechanical risk assessment coefficient threshold value, no signal is generated;
if the mechanical risk assessment coefficient JX is larger than or equal to a preset mechanical risk assessment coefficient threshold value, generating a feedback signal, sending the feedback signal to an early warning display unit, and immediately displaying preset early warning characters corresponding to the feedback signal after the early warning display unit receives the feedback signal, so that mechanical parts in the power distribution cabinet can be maintained or replaced, and the operation influence of mechanical factors on the low-voltage power distribution cabinet is reduced;
after receiving the electrical data, the electrical risk unit immediately performs electrical influence supervision feedback operation on the electrical data so as to judge whether abnormal sound of the low-voltage power distribution cabinet is caused by electrical factors, so that the electrical factors are managed timely, the operation influence of the electrical factors on the low-voltage power distribution cabinet is reduced, and the specific electrical influence supervision feedback operation process is as follows:
acquiring a line end contact value of a low-voltage power distribution cabinet in a time threshold, wherein the line end contact value represents a part of a line port contact area which is lower than a preset line port contact area, and then, carrying out data normalization processing on the product value of the line port contact area and a line port oxidation area, and comparing and analyzing the line end contact value with a preset line end contact value threshold;
acquiring a capacitance management value of the low-voltage power distribution cabinet in a time threshold, wherein the capacitance management value represents a ratio of a capacitance maintenance interval time to a fault rate after data normalization processing, and comparing and analyzing the capacitance management value with a preset capacitance management value threshold, if the capacitance management value is larger than the preset capacitance management value threshold, marking a part of the capacitance management value larger than the preset capacitance management value threshold as a capacitance influence value, wherein the larger the value of the capacitance influence value is, the larger the arc risk is generated;
comparing the contact potential value and the capacitance influence value with a preset contact potential value threshold value and a preset capacitance influence value threshold value which are recorded and stored in the contact potential value and the capacitance influence value:
if the contact potential value is smaller than the preset contact potential value threshold value and the capacitance influence value is smaller than the preset capacitance influence value threshold value, no signal is generated;
if the contact potential value is greater than or equal to a preset contact potential value threshold value or the capacitance influence value is greater than or equal to a preset capacitance influence value threshold value, generating an influence signal, sending the influence signal to an early warning display unit through an obstruction analysis unit, and immediately displaying preset early warning characters corresponding to the influence signal by the early warning display unit after receiving the influence signal, so as to maintain or replace electrical components in the power distribution cabinet, and reduce the operation influence of electrical factors on the low-voltage power distribution cabinet;
the combined interference unit immediately performs data fusion risk interference assessment analysis after receiving the mechanical risk assessment coefficient JX so as to judge whether abnormal noise of the low-voltage power distribution cabinet is caused by linkage interference of various factors or not, so that the low-voltage power distribution cabinet is rationally managed according to information feedback conditions, accuracy of analysis results is improved through comprehensive analysis of data, and further management effects of the low-voltage power distribution cabinet are improved, and the specific data fusion risk interference assessment analysis process is as follows:
acquiring a mechanical risk assessment coefficient JX in a time threshold, acquiring a contact potential value and a capacitance influence value in the time threshold, and acquiring a management matching value of a low-voltage power distribution cabinet in the time threshold, wherein the management matching value represents a ratio of the total starting operation time of the low-voltage power distribution cabinet to the time from the moment of being put into use to the current moment, and the ratio is obtained by carrying out data normalization on an interval time average value between the management matching value and the continuous maintenance times, and meanwhile, the contact potential value, the capacitance influence value and the management matching value are respectively marked as JQ, DY and GP;
according to the formulaObtaining a fusion influence evaluation coefficient, wherein f1, f2, f3 and f4 are respectively a mechanical risk evaluation coefficient, a contact potential value, a capacitance influence value and a preset weight factor coefficient for managing a matching value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset compensation factor coefficient, the value is 2.181, PR is the fusion influence evaluation coefficient, and the fusion influence evaluation coefficient PR is compared with a preset fusion influence evaluation coefficient threshold value recorded and stored in the fusion influence evaluation coefficient PR:
if the fusion influence evaluation coefficient PR is smaller than a preset fusion influence evaluation coefficient threshold value, no signal is generated;
if the fusion influence evaluation coefficient PR is greater than or equal to a preset fusion influence evaluation coefficient threshold value, generating an alarm signal, sending the alarm signal to an early warning display unit through an obstruction analysis unit, and immediately displaying preset early warning characters corresponding to the alarm signal after the early warning display unit receives the alarm signal, so that the low-voltage power distribution cabinet is rationally managed according to the information feedback condition, and the accuracy of an analysis result is improved through comprehensive analysis of data, and further the management effect of the low-voltage power distribution cabinet is improved;
in summary, the invention performs operation supervision feedback analysis on abnormal sound data, performs point-to-point comparison analysis on the abnormal sound data in combination with historical operation abnormal sound conditions, is beneficial to improving the utilization rate of each data, so as to improve the accuracy of analysis results, judges whether the operation of the low-voltage power distribution cabinet is normal through analysis, so as to timely perform feedback early warning management, ensure the operation safety and stability of the low-voltage power distribution cabinet, performs safe operation supervision operation on state data in an information feedback manner, judges whether the buzzer of the low-voltage power distribution cabinet normally operates, judges whether abnormal sound of the low-voltage power distribution cabinet is caused by the fault of the buzzer, so as to reasonably and pertinently maintain fault points, analyzes abnormal sound reasons in an in-depth manner, namely analyzes from two points of machinery and electricity, respectively analyzes the mechanical data and the electrical data, judges whether the abnormal sound of the low-voltage power distribution cabinet is caused by the mechanical factors or the electrical factors, so as to timely manage the mechanical factors or the electrical factors, simultaneously, judges whether the operation influence of the low-voltage power distribution cabinet is caused by the mechanical factors or the electrical factors, and the abnormal sound of the low-voltage power distribution cabinet is completely analyzed according to the analysis results of the information feedback information, so as to improve the overall analysis results of the abnormal sound.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (6)
1. The low-voltage power distribution cabinet fault diagnosis system based on data analysis is characterized by comprising a supervision platform, a data acquisition unit, a fault resolution unit, a self-checking evaluation unit, an obstruction analysis unit, an electrical risk unit, a combined interference unit and an early warning display unit;
when the supervision platform generates a management command, the management command is sent to the data acquisition unit, the data acquisition unit immediately acquires abnormal sound data of the low-voltage power distribution cabinet when receiving the management command, the abnormal sound data comprises abnormal sound characteristic values, the abnormal sound characteristic values are sent to the fault resolution unit, the fault resolution unit immediately carries out operation supervision feedback analysis on the abnormal sound data after receiving the abnormal sound data, the obtained risk signals are sent to the self-checking evaluation unit and the obstruction analysis unit, and the obtained continuous signals and interval signals are sent to the early warning display unit;
the self-checking evaluation unit immediately acquires state data of the buzzer of the low-voltage power distribution cabinet after receiving the risk signal, wherein the state data comprises an environmental influence value and an operation interference value, carries out safe operation supervision operation on the state data, and sends the obtained effective signal and verification signal to the early warning display unit through the fault resolution unit;
the method comprises the steps that after a risk signal is received, a barrier analysis unit immediately collects mechanical data and electrical data of a low-voltage power distribution cabinet, wherein the mechanical data comprise a wear risk value and a rotation abnormal value, the electrical data comprise a line end contact value and a capacitance management value, the electrical data are sent to an electrical risk unit, meanwhile, state supervision feedback evaluation operation is carried out on the mechanical data, an obtained mechanical risk evaluation coefficient JX is sent to a combined interference unit, and an obtained feedback signal is sent to an early warning display unit;
the electrical risk unit immediately performs electrical influence supervision feedback operation on the electrical data after receiving the electrical data, and sends an obtained influence signal to the early warning display unit through the obstruction analysis unit;
and the combined interference unit immediately performs data fusion risk interference assessment analysis after receiving the mechanical risk assessment coefficient JX, and sends the obtained alarm signal to the early warning display unit through the obstruction analysis unit.
2. The low-voltage power distribution cabinet fault diagnosis system based on data analysis according to claim 1, wherein the operation supervision feedback analysis process of the fault resolution unit is as follows:
the method comprises the steps of collecting time length from starting operation time to finishing operation time of a low-voltage power distribution cabinet, marking the time length as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, obtaining abnormal sound characteristic values of the low-voltage power distribution cabinet in each sub-time period, wherein the abnormal sound characteristic values represent parts of abnormal sound risk values exceeding a preset abnormal sound risk value threshold, the abnormal sound risk values represent differences between maximum values and minimum values of the abnormal sound values in the sub-time periods, simultaneously obtaining historical abnormal sound characteristic values of the normal low-voltage power distribution cabinet in each sub-time period, comparing the abnormal sound characteristic values with the historical abnormal sound characteristic values, and if the abnormal sound characteristic values are larger than the historical abnormal sound characteristic values, obtaining the number of the abnormal sound characteristic values which are larger than the corresponding sub-time periods of the historical abnormal sound characteristic values, marking the abnormal sound characteristic values as risk difference values, and comparing the risk difference values with preset risk difference value thresholds stored in the abnormal sound risk difference values.
If the risk difference value is smaller than a preset risk difference value threshold value, no signal is generated;
if the risk difference value is greater than or equal to a preset risk difference value threshold, generating a risk signal, when the risk signal is generated, acquiring a risk difference value corresponding to the risk signal, further acquiring a sub-time period corresponding to the risk difference value, marking the sub-time period as an abnormal sound time period, acquiring interval duration between the abnormal sound time periods, further establishing a rectangular coordinate system by taking the number of the interval durations as an X axis and taking the interval duration as a Y axis, drawing an interval duration curve in a dot drawing mode, acquiring the ratio of the number of line segment lengths formed by two connected dots to the preset line segment length to the number of bus segments from the interval duration curve, marking the ratio as a characteristic evaluation value, and comparing the characteristic evaluation value with a preset characteristic evaluation value threshold recorded and stored in the characteristic evaluation value:
if the feature evaluation value is smaller than a preset feature evaluation value threshold, generating a continuous signal;
and if the characteristic evaluation value is greater than or equal to a preset characteristic evaluation value threshold value, generating an interval signal.
3. The low-voltage power distribution cabinet fault diagnosis system based on data analysis according to claim 1, wherein the safety operation supervision operation process of the self-checking evaluation unit is as follows:
s1: acquiring environment influence values of a buzzer of a low-voltage power distribution cabinet in each sub-time period, wherein the environment influence values represent the number of deviations of the numerical values corresponding to environment characteristic parameters from a preset threshold value, the environment characteristic parameters comprise environment temperature risk values and environment humidity average values, the environment temperature risk values represent the duration corresponding to the first intersection of a temperature characteristic curve and the preset temperature characteristic curve, and then the product value is obtained after the data normalization processing of the acute angle degrees enclosed by the first intersection of the temperature characteristic curve and the preset temperature characteristic curve, so that an environment influence value set A is constructed;
s2: acquiring operation interference values of buzzers of the low-voltage power distribution cabinet in each sub-time period, wherein the operation interference values represent the number of the corresponding values of the operation parameters exceeding a preset threshold value, and the sum values obtained after data normalization processing of the number of the corresponding values of the line parameters exceeding the preset threshold value, the operation parameters represent the harmonic distortion rate of the power supply current and the average value of the power supply voltage, and the line parameters comprise the reactive power of the line and the line loss rate change value, so that a set B of the operation interference values is constructed;
s3: obtaining the sum of the numbers, corresponding to the subsets, in the set A and the set B exceeding the preset threshold, marking the sum of the numbers, corresponding to the subsets, in the set A and the set B exceeding the preset threshold as an operation performance coefficient, and comparing the operation performance coefficient with the preset operation performance coefficient threshold recorded and stored in the operation performance coefficient:
if the ratio between the operation performance coefficient and the preset operation performance coefficient threshold is smaller than 1, generating an effective signal;
and if the ratio of the operation performance coefficient to the preset operation performance coefficient threshold value is more than or equal to 1, generating a verification signal.
4. The low-voltage power distribution cabinet fault diagnosis system based on data analysis according to claim 1, wherein the state supervision feedback evaluation operation process of the block analysis unit is as follows:
acquiring a wear risk value and a rotation abnormal value of a low-voltage power distribution cabinet in a time threshold, wherein the wear risk value represents a part of the bearing wear amount exceeding a preset bearing wear amount, and then the product value is obtained by carrying out data normalization processing on the wear risk value and a lubricating oil temperature average value, the rotation abnormal value represents a product value obtained by carrying out data normalization processing on a part of the motor vibration frequency average value exceeding the preset motor vibration frequency average value and a part of the motor running temperature average value exceeding the preset motor running temperature average value, and the wear risk value and the rotation abnormal value are respectively marked as MS and XZ;
according to the formulaObtaining a mechanical risk assessment coefficient, wherein a1 and a2 are preset scale factor coefficients of a wear risk value and a rotation abnormal value respectively, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.221, JX is the mechanical risk assessment coefficient, and the mechanical risk assessment coefficient JX is compared with a preset mechanical risk assessment coefficient threshold value recorded and stored in the mechanical risk assessment coefficient JX:
if the mechanical risk assessment coefficient JX is smaller than a preset mechanical risk assessment coefficient threshold value, no signal is generated;
and if the mechanical risk assessment coefficient JX is greater than or equal to a preset mechanical risk assessment coefficient threshold value, generating a feedback signal.
5. The low-voltage power distribution cabinet fault diagnosis system based on data analysis according to claim 1, wherein the electrical impact supervision feedback operation process of the electrical risk unit is as follows:
t1: obtaining a line end contact value of the low-voltage power distribution cabinet within a time threshold, wherein the line end contact value represents a part of a line port contact area which is lower than a preset line port contact area, and then the product value is obtained after data normalization processing is carried out on the line end contact value and a line port oxidation area, the line end contact value and a preset line end contact value threshold are compared and analyzed, and if the line end contact value is larger than the preset line end contact value threshold, the part of the line end contact value which is larger than the preset line end contact value threshold is marked as a contact potential value;
t2: acquiring a capacitance management value of the low-voltage power distribution cabinet in a time threshold, wherein the capacitance management value represents a ratio of a capacitance maintenance interval time to a failure rate after data normalization processing, and then comparing and analyzing the capacitance management value with a preset capacitance management value threshold value, and if the capacitance management value is larger than the preset capacitance management value threshold value, marking a part of the capacitance management value larger than the preset capacitance management value threshold value as a capacitance influence value;
t3: comparing the contact potential value and the capacitance influence value with a preset contact potential value threshold value and a preset capacitance influence value threshold value which are recorded and stored in the contact potential value and the capacitance influence value:
if the contact potential value is smaller than the preset contact potential value threshold value and the capacitance influence value is smaller than the preset capacitance influence value threshold value, no signal is generated;
and generating an influence signal if the contact potential value is greater than or equal to a preset contact potential value threshold or the capacitance influence value is greater than or equal to a preset capacitance influence value threshold.
6. The low-voltage power distribution cabinet fault diagnosis system based on data analysis according to claim 1, wherein the data fusion risk interference assessment analysis process of the combined interference unit is as follows:
acquiring a mechanical risk assessment coefficient JX in a time threshold, acquiring a contact potential value and a capacitance influence value in the time threshold, and acquiring a management matching value of a low-voltage power distribution cabinet in the time threshold, wherein the management matching value represents a ratio of the total starting operation time of the low-voltage power distribution cabinet to the time from the moment of being put into use to the current moment, and the ratio is obtained by carrying out data normalization on an interval time average value between the management matching value and the continuous maintenance times, and meanwhile, the contact potential value, the capacitance influence value and the management matching value are respectively marked as JQ, DY and GP;
according to the formulaObtaining a fusion influence evaluation coefficient, wherein f1, f2, f3 and f4 are respectively a mechanical risk evaluation coefficient, a contact potential value, a capacitance influence value and a preset weight factor coefficient for managing a matching value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset compensation factor coefficient, the value is 2.181, PR is the fusion influence evaluation coefficient, and the fusion influence evaluation coefficient PR is compared with a preset fusion influence evaluation coefficient threshold value recorded and stored in the fusion influence evaluation coefficient PR:
if the fusion influence evaluation coefficient PR is smaller than a preset fusion influence evaluation coefficient threshold value, no signal is generated;
and if the fusion influence evaluation coefficient PR is greater than or equal to a preset fusion influence evaluation coefficient threshold value, generating an alarm signal.
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