CN116044802B - State fault monitoring and diagnosing system for mine ventilator - Google Patents
State fault monitoring and diagnosing system for mine ventilator Download PDFInfo
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- CN116044802B CN116044802B CN202310237973.6A CN202310237973A CN116044802B CN 116044802 B CN116044802 B CN 116044802B CN 202310237973 A CN202310237973 A CN 202310237973A CN 116044802 B CN116044802 B CN 116044802B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 17
- 238000009423 ventilation Methods 0.000 claims abstract description 20
- 238000003860 storage Methods 0.000 claims abstract description 15
- 238000003745 diagnosis Methods 0.000 claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims description 258
- 238000004804 winding Methods 0.000 claims description 65
- 238000005520 cutting process Methods 0.000 claims description 43
- 238000004458 analytical method Methods 0.000 claims description 42
- 230000035484 reaction time Effects 0.000 claims description 26
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 238000002347 injection Methods 0.000 claims description 13
- 239000007924 injection Substances 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000001816 cooling Methods 0.000 claims description 10
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000005065 mining Methods 0.000 claims description 4
- 230000001186 cumulative effect Effects 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 2
- 238000004220 aggregation Methods 0.000 claims 2
- 230000002776 aggregation Effects 0.000 claims 2
- 238000007405 data analysis Methods 0.000 claims 1
- 230000007935 neutral effect Effects 0.000 claims 1
- 238000012795 verification Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 5
- 230000005856 abnormality Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 3
- 239000003921 oil Substances 0.000 description 12
- 239000010687 lubricating oil Substances 0.000 description 8
- 239000007788 liquid Substances 0.000 description 4
- 238000012935 Averaging Methods 0.000 description 2
- 238000012351 Integrated analysis Methods 0.000 description 2
- 239000003245 coal Substances 0.000 description 2
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- 230000001050 lubricating effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006116 polymerization reaction Methods 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/008—Stop safety or alarm devices, e.g. stop-and-go control; Disposition of check-valves
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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Abstract
The invention discloses a state fault monitoring and diagnosing system of a mine ventilator, which relates to the technical field of ventilator diagnosis and is used for solving the problems that the existing mine ventilation fault early warning technology cannot rapidly analyze ventilation abnormality and take corresponding measures, so that faults cannot be timely and accurately found and processed, and potential safety hazards and losses are caused; the system comprises a data acquisition module, a storage library, a diagnosis module and an early warning module; the vibration signal group and the adjusting signal group are obtained by monitoring and diagnosing the vibration of the ventilator and the audio frequency under the working state and adopting corresponding adjusting measures, and are comprehensively analyzed and pre-warned, so that the corresponding measures are adopted for different diagnosis of the ventilator, the tracking judgment is carried out on the effect after the adopted measures, the timely pre-warning of the faults of the ventilator is carried out, the fault probability of the ventilator is reduced, and the working safety and reliability of the general ventilation fan are improved.
Description
Technical Field
The invention relates to the technical field of ventilator diagnosis, in particular to a state fault monitoring and diagnosing system of a mine ventilator.
Background
The mine ventilator is used as main technical equipment for safe production of coal mines, is an important component of a mine ventilation system, and is a foundation for safe production of the coal mines and disaster prevention and control. Whether the quality of the mining fan product is good or bad, whether the operation is safe and stable or not, and whether the detection, adjustment and control methods are reliable or not are very important.
The existing mining ventilation fault early warning technology cannot rapidly analyze ventilation abnormality and take corresponding measures, so that faults cannot be timely and accurately found and processed, and potential safety hazards and loss are caused;
in order to solve the defects, a state fault monitoring and diagnosing system of the mine ventilator is provided.
Disclosure of Invention
The invention aims to solve the problems that the existing mining ventilation fault early warning technology cannot rapidly analyze ventilation abnormality and take corresponding measures, so that faults cannot be timely and accurately found and processed, and potential safety hazards and losses are caused.
The aim of the invention can be achieved by the following technical scheme: a state fault monitoring and diagnosing system of a mine ventilator comprises a data acquisition module and a storage warehouse, wherein the data acquisition module acquires a fan vibration value, working audio and fan operation parameters and sends the fan vibration value, the working audio and the fan operation parameters to the storage warehouse for storage; the system also comprises a diagnosis module and an early warning module;
the diagnosis module monitors and diagnoses the fan vibration value of the fan to obtain a vibration signal group, wherein the vibration signal group comprises a vibration slight signal, a vibration medium signal and a vibration heavy signal; meanwhile, the audio frequency in the working state of the ventilator is analyzed and diagnosed to obtain an abnormal fluctuation fan and trigger the deep analysis of the operation parameters of the fan; obtaining an abnormal shaft temperature value, an abnormal winding temperature value and an abnormal current value according to the deepened analysis of the fan operation parameters, carrying out comprehensive numerical analysis on the abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value to obtain a cutting machine value, and carrying out cutting machine operation or respectively analyzing the abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value and carrying out corresponding adjustment measures of cutting machine operation, oiling operation and cooling operation according to the cutting machine value and the cutting machine value;
the operation of the cutting machine comprises the following specific steps:
step one: all the standby fans are connected, and when all the equipment of the standby fans are in the on-line state, the standby fans are marked as primary fans;
step two: clicking all initially selected fans to obtain the rotating speed, current and noise of the clicking fans, and marking the rotating speed, the clicking current and the clicking noise as the clicking rotating speed, the clicking current and the clicking noise respectively; calculating a difference value between the inching rotating speed and a preset standard rotating speed to obtain a rotating speed deviation value prl, calculating a difference value between the inching current and a preset standard current to obtain a current deviation value pil, calculating a difference value between inching noise and a preset standard noise to obtain a noise value pzl, and passing the rotating speed deviation value, the current deviation value and the noise value through a preset modelObtaining a polymerization value JHZ, whereing1, g2 and g3 are respectively preset weight coefficients; marking the primary ventilator with the largest deviation value as a target ventilator;
step three: closing a ground air inlet door of the target ventilator, acquiring the opening of a downhole air inlet door of the current ventilator, the negative pressure of the current ventilator and the current fan frequency, and marking the opening, the negative pressure and the current fan frequency as rekd, refy and repl respectively; calculating negative pressure rate by taking the current negative pressure and the current fan frequency as a ratio, presetting an air inlet door opening corresponding to each negative pressure rate, matching the current negative pressure rate with all preset negative pressure rates to obtain air door opening, calculating a difference value between the air door opening obtained by matching and the current air door opening to obtain the air door opening of the target fan, and marking the air door opening as exchange degree; the operation command values are a switching value and an abnormal current value, each switching value and the abnormal current value are preset to correspond to one conversion command value respectively, the switching value and the abnormal current value are matched with all preset switching values and all abnormal current values respectively to obtain corresponding conversion command values, the conversion command values are processed to obtain conversion command values, the conversion command values are multiplied by a preset frequency coefficient to obtain exchange frequency, the exchange frequency and the exchange degree are marked as exchange parameters, and the current ventilator and the target ventilator are switched according to the exchange parameters; the exchange frequency refers to the time of each air door opening exchange of the current ventilator and the target ventilator; the exchange degree refers to the magnitude of closing the air door of the current ventilator and the magnitude of opening the air door of the target ventilator;
obtaining an adjusting signal group according to the reaction time of the adjusting measure, wherein the adjusting signal group comprises an adjusting strict signal, an adjusting middle lag signal and an adjusting low lag signal; sending the vibration signal group and the adjusting signal group to an early warning module;
the early warning module is used for receiving the vibration signal group and the adjusting signal group, and comprehensively analyzing and early warning the vibration signal group and the adjusting signal group.
As a preferred embodiment of the present invention, the monitoring and diagnosis of the vibration value of the fan is specifically:
obtaining a fan vibration value in unit time, wherein the unit time is one minute or two minutes or five minutes or 10 minutes, and the vibration value is the vibration emitted by the fan blade of the fan when rotating; updating the line graph of the vibration value and the time in real time and obtaining the line graph of the vibration value and the time; transmitting the line graph of the real-time vibration value and time to a storage library for storage and display;
the method comprises the steps of presetting a standard value, marking a vibration value larger than the preset standard value as an analysis vibration value, and marking a time corresponding to the vibration value as an analysis time; arranging all the analysis vibration values and the corresponding analysis vibration values at the adjacent analysis vibration times according to a time sequence, performing difference calculation to obtain a vibration difference value, and performing time difference calculation on the corresponding adjacent analysis vibration times to obtain interval duration;
the vibration difference value ch and the interval duration sh pass through a preset modelObtaining a vibration value ZD, wherein e1 and e2 are preset weight coefficients respectively; as shown by the formula, when the vibration difference value is larger, the interval duration is shorter, the vibration abnormal value is larger, and the probability of abnormal vibration of the fan blade of the fan is higher when the vibration difference value is larger in the shorter time interval; the method comprises the steps of presetting a vibration abnormal interval Z1, marking the vibration value as a slight abnormal vibration value when the vibration value is smaller than the minimum value in the preset vibration abnormal interval Z1 and the vibration trend of a fan blade of the fan is shown; when the vibration abnormal value is within the preset vibration abnormal interval Z1, marking the middle abnormal vibration value by the vibration value, and when the vibration abnormal value is larger than the maximum value in the preset vibration abnormal interval Z1, marking the vibration value as the heavy abnormal vibration value;
counting the numbers marked as a slight abnormal vibration value, a moderate abnormal vibration value and a severe abnormal vibration value, and marking the numbers as mu1, mu2 and mu3; the number marked as the slight abnormal vibration value, the moderate abnormal vibration value and the severe abnormal vibration value is subjected to average value operation to obtain a number average value, and the number average value is marked as mu0; when mu1 > mu0 and mu1 is the maximum of mu1, mu2 and mu3; marking the vibration state of the fan blade as a vibration slight signal when the current fan blade is in a slight abnormal vibration state; when mu2 > mu0 and mu2 is the maximum of mu1, mu2 and mu3; the method comprises the steps that when the current fan blade is in a moderate abnormal vibration span state, the vibration state of the fan blade is marked as a vibration moderate signal; when mu3 > mu0 and mu1 is the maximum of mu1, mu2 and mu3; and marking the vibration state of the fan blade as a vibration severe signal when the current fan blade is in the severe abnormal vibration state.
As a preferred implementation mode of the invention, the audio frequency in the working state of the fan is monitored and diagnosed, specifically:
acquiring working audio when the fan operates, and identifying the working audio to obtain an audio spectrogram when the fan operates; calculating the difference value of adjacent wave crests and wave troughs to obtain a fluctuation value, counting the fluctuation value of a fan in the current time for approximately 7 days, obtaining the negative pressure of the fan in the current time for approximately 7 days, presetting a normal wind pressure interval, indicating that the current wind pressure is normal when the negative pressure is within the preset normal wind pressure interval, and calling the fluctuation value of the fan running state to be in normal fluctuation at the moment, and averaging the fluctuation value of the fan running state to obtain a normal fluctuation mean value; carrying out difference calculation on the current fluctuation value and the fluctuation normal mean value to obtain fluctuation deviation, presetting standard deviation, marking the deviation as abnormal deviation when the fluctuation deviation is larger than the standard deviation, and marking the fluctuation value corresponding to the deviation as abnormal fluctuation value; carrying out cumulative summation operation on all the abnormal deviations to obtain an abnormal deviation total value, and counting the quantity of all the abnormal deviations; passing the total value Pc of the abnormal deviation and the number nu1 of the abnormal deviation through a preset formulaObtaining a fluctuation abnormal value POZ, wherein f1 and f2 are preset weight coefficients respectively; and presetting an abnormal fluctuation value, and when the fluctuation abnormal value is larger than the preset fluctuation abnormal value, indicating that abnormal fluctuation exists in the fan, marking the fan as the abnormal fluctuation fan and triggering operation parameter deepening analysis.
As a preferred embodiment of the invention, the fan operation parameter deepening analysis is specifically as follows:
acquiring the bearing temperature marked as an abnormal fluctuation fan; presetting a standard bearing temperature interval, when the bearing temperature is larger than the maximum value in the preset bearing temperature interval, indicating that the bearing temperature exceeds a normal temperature range at the moment, marking the bearing temperature as an abnormal bearing temperature when overload use of a bearing motor exists, and marking the moment corresponding to the abnormal bearing temperature as an abnormal shaft temperature moment; summing the abnormal bearing temperatures to obtain abnormal shaft temperature sum, marking the abnormal shaft temperature sum as Zw, counting the number of abnormal shaft temperature moments, marking the abnormal shaft temperature sum as nu2, and obtaining an abnormal shaft temperature value ZWZ by the abnormal shaft temperature sum Zw and the number nu2 of the abnormal shaft temperature moments through a preset model ZWZ =a1×zw+a2×nu2, wherein a1 and a2 are preset weight coefficients respectively;
acquiring the winding temperature marked as the abnormal fluctuation fan, performing variance calculation on the winding temperature, and when the variance is larger than a preset variance value, indicating that the winding temperature of the current abnormal fluctuation fan is in a state with larger discrete degree; the method comprises the steps of presetting a standard winding temperature zone, carrying out summation operation on winding temperatures greater than the preset standard winding temperature zone to obtain abnormal winding temperature sums, presetting an abnormal winding temperature value corresponding to each abnormal winding temperature sum, matching the abnormal winding temperature sums with all preset abnormal winding temperature sums to obtain corresponding abnormal winding temperature values, and marking the abnormal winding temperature values as RWZ;
acquiring a current value marked as an abnormal fluctuation fan, presetting a standard current interval, and indicating that the current value is abnormal at the moment when the current value is not in the preset standard current interval; marking the time corresponding to the current as abnormal current time, and calculating the difference value between the current value and the maximum value in a preset standard current interval to obtain an abnormal current deviation value; summing the abnormal current deviation values corresponding to all the abnormal current moments to obtain an abnormal current deviation total value, and multiplying the abnormal current deviation total value by a preset abnormal current deviation conversion value to obtain an abnormal current value DLZ;
obtaining a cutter value QJZ by passing an abnormal shaft temperature value ZWZ, an abnormal winding temperature value RWZ and an abnormal current value DLZ through a preset formula QJZ=d1× ZWZ +d2× RWZ +d3×DLZ, wherein d1, d2 and d3 are preset weight coefficients respectively; when the cutting machine value is larger than the preset cutting machine value, triggering ventilation cutting machine operation, otherwise, judging an abnormal shaft temperature value, an abnormal winding temperature value and an abnormal current value respectively: triggering oiling operation when the abnormal shaft temperature value is larger than a preset shaft temperature value; when the abnormal temperature value is larger than a preset Rao Wenzhi, triggering cooling operation, and when the abnormal current value is larger than a preset current value, triggering cutting operation;
marking the execution time of oil injection operation and cooling operation as operation time, acquiring the time when the bearing temperature is reduced to the maximum value of a preset bearing temperature interval for the first time and the time when the winding temperature is reduced to below the preset winding temperature for the first time after the operation time, and marking the time as action time; calculating the time difference between the operation time and the action time to obtain the reaction time;
presetting a standard reaction time interval V, and generating a regulation strict signal when the reaction time is longer than the maximum value in the preset standard reaction time interval V; when the reaction time is within a preset standard reaction time interval V, generating a regulating hysteresis signal; and when the reaction time length is smaller than the minimum value in the preset standard reaction time length interval V, generating an adjusting low hysteresis signal.
As a preferred implementation mode of the invention, the early warning module is used for receiving the vibration signal group and the adjusting signal group, comprehensively analyzing and early warning the vibration signal group and the adjusting signal group, and specifically comprises the following steps:
the vibration slight signal, the vibration moderate signal and the vibration severe signal of the vibration signal group are marked by the symbols L, L and L respectively, and the adjustment strict signal, the adjustment middle lag signal and the adjustment low lag signal of the adjustment signal group signal are marked by the symbols J, J and J respectively;
when receiving the L and J, generating a fan serious fault signal, displaying the fan serious fault signal by using 'fan serious fault, urgent maintenance processing' text, and when receiving the L and J, generating a fan light fault signal, displaying the fan light fault signal by using 'fan light fault, and repairing' text; and generating a fan moderate fault signal under other conditions, and displaying characters in the form of 'fan moderate fault and urgent maintenance requirement'.
Compared with the prior art, the invention has the beneficial effects that:
1. the vibration in the working state of the ventilator is subjected to numerical analysis to obtain a vibration signal group, so that vibration supervision and quantification of vibration degree in the working state of the ventilator are realized, and the vibration state of the ventilator in the working state of the ventilator is reflected rapidly.
2. The audio frequency in the working state of the ventilator is analyzed, whether the audio frequency is abnormal or not is judged, the abnormal audio frequency is subjected to deep analysis of the operating parameters of the ventilator, an abnormal shaft temperature value, an abnormal winding temperature value and an abnormal current value are output, normalized numerical analysis is carried out on the abnormal audio frequency, a cutting machine value is obtained, when the cutting machine value is larger than a preset cutting machine value, the cutting machine operation is triggered, the comprehensive analysis of the operating parameters of the ventilator is realized, the cutting machine operation is carried out according to the comprehensive analysis result, and the potential safety hazard is reduced.
3. When the cutting machine value is smaller than a preset cutting machine value, respectively analyzing and diagnosing the output abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value, and respectively triggering corresponding adjusting operations; meanwhile, analyzing according to the time length reaching the required effect after the adjustment operation and generating an adjustment signal group; corresponding measures are adopted for different diagnoses of the ventilator, potential safety hazards and losses are effectively reduced, and meanwhile, tracking judgment is carried out on the effect after the measures are adopted.
4. Through carrying out integrated analysis with vibration signal group and regulation signal group, generate the ventilation blower fault signal, realize the timely early warning to the trouble of ventilation blower, reduce the fault probability of ventilation blower, improve the operational safety and reliability of general ventilation blower.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a general block diagram of a system of the present invention;
fig. 2 is a ventilation operation parameter monitoring flow of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, a state fault monitoring and diagnosing system of a mine ventilator comprises a data acquisition module, a storage library, a diagnosing module, an early warning module and an output module;
the data acquisition module acquires a fan vibration value, working audio frequency and fan operation parameters, wherein the fan operation parameters comprise fan negative pressure, bearing temperature, winding temperature, current value, bearing lubricating oil liquid level, fan rotating speed, noise and air door opening, and the fan negative pressure, the bearing temperature, the winding temperature, the current value, the bearing lubricating oil liquid level, the fan rotating speed, the noise and the air door opening are sent to the storage warehouse for storage;
the monitoring and diagnosis of the fan blade vibration of the fan are specifically as follows:
obtaining a fan vibration value in unit time, wherein the unit time is one minute or two minutes or five minutes or 10 minutes, and the vibration value is the vibration emitted by the fan blade of the fan when rotating; updating the line graph of the vibration value and the time in real time and obtaining the line graph of the vibration value and the time; transmitting the line graph of the real-time vibration value and time to a storage library for storage and display;
the method comprises the steps of presetting a standard value, marking a vibration value larger than the preset standard value as an analysis vibration value, and marking a time corresponding to the vibration value as an analysis time; arranging all the analysis vibration values and the corresponding analysis vibration values at the adjacent analysis vibration times according to a time sequence, performing difference calculation to obtain a vibration difference value, and performing time difference calculation on the corresponding adjacent analysis vibration times to obtain interval duration;
the vibration difference value ch and the interval duration sh pass through a preset modelObtaining a vibration value ZD, wherein e1 and e2 are preset weight coefficients respectively; as shown by the formula, when the vibration difference value is larger, the interval duration is shorter, the vibration abnormal value is larger, and the probability of abnormal vibration of the fan blade of the fan is higher when the vibration difference value is larger in the shorter time interval; when the vibration value is smaller than the minimum value in the preset vibration abnormal interval Z1, the vibration trend of the fan blade of the fan is indicated, and the vibration value is marked as slight abnormalA vibration value; when the vibration abnormal value is within the preset vibration abnormal interval Z1, marking the middle abnormal vibration value by the vibration value, and when the vibration abnormal value is larger than the maximum value in the preset vibration abnormal interval Z1, marking the vibration value as the heavy abnormal vibration value;
counting the numbers marked as a slight abnormal vibration value, a moderate abnormal vibration value and a severe abnormal vibration value, and marking the numbers as mu1, mu2 and mu3; the number marked as the slight abnormal vibration value, the moderate abnormal vibration value and the severe abnormal vibration value is subjected to average value operation to obtain a number average value, and the number average value is marked as mu0; when mu1 > mu0 and mu1 is the maximum of mu1, mu2 and mu3; marking the vibration state of the fan blade as a vibration slight signal when the current fan blade is in a slight abnormal vibration state; when mu2 > mu0 and mu2 is the maximum of mu1, mu2 and mu3; the method comprises the steps that when the current fan blade is in a moderate abnormal vibration span state, the vibration state of the fan blade is marked as a vibration moderate signal; when mu3 > mu0 and mu1 is the maximum of mu1, mu2 and mu3; marking the vibration state of the fan blade as a vibration severe signal when the current fan blade is in the severe abnormal vibration state;
marking the generated vibration slight signal, the generated vibration moderate signal and the generated vibration severe signal as a vibration signal group, and sending the vibration signal group to an early warning processing module.
The operation state of the fan is monitored and diagnosed, and the method specifically comprises the following steps:
acquiring working audio when the fan operates, and identifying the working audio to obtain an audio spectrogram when the fan operates; calculating the difference value of adjacent wave crests and wave troughs to obtain a fluctuation value, counting the fluctuation value of a fan in the current time for approximately 7 days, obtaining the negative pressure of the fan in the current time for approximately 7 days, presetting a normal wind pressure interval, indicating that the current wind pressure is normal when the negative pressure is within the preset normal wind pressure interval, and calling the fluctuation value of the fan running state to be in normal fluctuation at the moment, and averaging the fluctuation value of the fan running state to obtain a normal fluctuation mean value; calculating the difference between the current fluctuation value and the normal fluctuation mean value to obtain fluctuation deviation, presetting standard deviation, and when the fluctuation deviation is largeWhen the standard deviation is detected, marking the deviation as abnormal deviation, and marking a fluctuation value corresponding to the deviation as an abnormal fluctuation value; carrying out cumulative summation operation on all the abnormal deviations to obtain an abnormal deviation total value, and counting the quantity of all the abnormal deviations; passing the total value Pc of the abnormal deviation and the number nu1 of the abnormal deviation through a preset formulaObtaining a fluctuation abnormal value POZ, wherein f1 and f2 are preset weight coefficients respectively; presetting an abnormal fluctuation value, and when the fluctuation abnormal value is larger than the preset fluctuation abnormal value, indicating that abnormal fluctuation exists in the fan, marking the fan as an abnormal fluctuation fan and triggering operation parameter deepening analysis;
and (3) deep analysis of operation parameters: meanwhile, the bearing temperature, winding temperature and current of the fan are monitored and analyzed, and the method specifically comprises the following steps:
acquiring the bearing temperature marked as an abnormal fluctuation fan; presetting a standard bearing temperature interval, when the bearing temperature is larger than the maximum value in the preset bearing temperature interval, indicating that the bearing temperature exceeds a normal temperature range at the moment, marking the bearing temperature as an abnormal bearing temperature when overload use of a bearing motor exists, and marking the moment corresponding to the abnormal bearing temperature as an abnormal shaft temperature moment; summing the abnormal bearing temperatures to obtain abnormal shaft temperature sum, marking the abnormal shaft temperature sum as Zw, counting the number of abnormal shaft temperature moments, marking the abnormal shaft temperature sum as nu2, and obtaining an abnormal shaft temperature value ZWZ by the abnormal shaft temperature sum Zw and the number nu2 of the abnormal shaft temperature moments through a preset model ZWZ =a1×zw+a2×nu2, wherein a1 and a2 are preset weight coefficients respectively;
acquiring the winding temperature marked as the abnormal fluctuation fan, performing variance calculation on the winding temperature, and when the variance is larger than a preset variance value, indicating that the winding temperature of the current abnormal fluctuation fan is in a state with larger discrete degree; the method comprises the steps of presetting a standard winding temperature zone, carrying out summation operation on winding temperatures greater than the preset standard winding temperature zone to obtain abnormal winding temperature sums, presetting an abnormal winding temperature value corresponding to each abnormal winding temperature sum, matching the abnormal winding temperature sums with all preset abnormal winding temperature sums to obtain corresponding abnormal winding temperature values, and marking the abnormal winding temperature values as RWZ;
acquiring a current value marked as an abnormal fluctuation fan, presetting a standard current interval, and indicating that the current value is abnormal at the moment when the current value is not in the preset standard current interval; marking the time corresponding to the current as abnormal current time, and calculating the difference value between the current value and the maximum value in a preset standard current interval to obtain an abnormal current deviation value; summing the abnormal current deviation values corresponding to all the abnormal current moments to obtain an abnormal current deviation total value, and multiplying the abnormal current deviation total value by a preset abnormal current deviation conversion value to obtain an abnormal current value DLZ;
obtaining a cutter value QJZ by passing an abnormal shaft temperature value ZWZ, an abnormal winding temperature value RWZ and an abnormal current value DLZ through a preset formula QJZ=d1× ZWZ +d2× RWZ +d3×DLZ, wherein d1, d2 and d3 are preset weight coefficients respectively; when the cutting machine value is larger than the preset cutting machine value, triggering ventilation cutting machine operation, otherwise, judging an abnormal shaft temperature value, an abnormal winding temperature value and an abnormal current value respectively: triggering oiling operation when the abnormal shaft temperature value is larger than a preset shaft temperature value; when the abnormal temperature value is larger than a preset Rao Wenzhi, triggering cooling operation, and when the abnormal current value is larger than a preset current value, triggering cutting operation;
the operation of the cutting machine comprises the following specific steps:
step one: all the standby fans are connected, and when all the equipment of the standby fans are in the on-line state, the standby fans are marked as primary fans;
step two: clicking all initially selected fans to obtain the rotating speed, current and noise of the clicking fans, and marking the rotating speed, the clicking current and the clicking noise as the clicking rotating speed, the clicking current and the clicking noise respectively; calculating a difference value between the inching rotating speed and a preset standard rotating speed to obtain a rotating speed deviation value prl, calculating a difference value between the inching current and a preset standard current to obtain a current deviation value pil, calculating a difference value between inching noise and a preset standard noise to obtain a noise value pzl, and passing the rotating speed deviation value, the current deviation value and the noise value through a preset modelObtaining the polymerizationA value JHZ, wherein g1, g2 and g3 are preset weight coefficients, respectively; marking the primary ventilator with the largest deviation value as a target ventilator;
step three: closing a ground air inlet door of the target ventilator, acquiring the opening of a downhole air inlet door of the current ventilator, the negative pressure of the current ventilator and the current fan frequency, and marking the opening, the negative pressure and the current fan frequency as rekd, refy and repl respectively; calculating negative pressure rate by taking the current negative pressure and the current fan frequency as a ratio, presetting an air inlet door opening corresponding to each negative pressure rate, matching the current negative pressure rate with all preset negative pressure rates to obtain air door opening, calculating a difference value between the air door opening obtained by matching and the current air door opening to obtain the air door opening of the target fan, and marking the air door opening as exchange degree; the operation command values are a switching value and an abnormal current value, each switching value and the abnormal current value are preset to correspond to one conversion command value respectively, the switching value and the abnormal current value are matched with all preset switching values and all abnormal current values respectively to obtain corresponding conversion command values, the conversion command values are processed to obtain conversion command values, the conversion command values are multiplied by a preset frequency coefficient to obtain exchange frequency, the exchange frequency and the exchange degree are marked as exchange parameters, and the current ventilator and the target ventilator are switched according to the exchange parameters; the exchange frequency refers to the time of each air door opening exchange of the current ventilator and the target ventilator; the exchange degree refers to the magnitude of closing the air door of the current ventilator and the magnitude of opening the air door of the target ventilator;
the oiling operation comprises the following specific steps: obtaining a bearing lubricating oil level and a bearing temperature, presetting a standard bearing lubricating oil level corresponding to each bearing temperature, matching the current bearing temperature with all preset bearing temperatures to obtain a corresponding standard bearing lubricating oil level, calculating a difference value between the bearing lubricating oil level and the standard bearing lubricating oil level to obtain a liquid level difference, and multiplying the liquid level difference by a preset oiling coefficient to obtain an oiling amount; presetting an oil injection parameter corresponding to each oil injection quantity, matching the oil injection quantity with all preset oil injection quantities to obtain corresponding oil injection parameters, wherein the oil injection parameters comprise oil injection speed and oil injection duration, and controlling a lubricating pump and a valve to perform oil injection operation according to the oil injection parameters;
it should be noted that the operation of cutting the fan refers to switching the current fan into a standby fan; the oiling operation is to pour lubricating oil into the bearing, so as to cool the bearing and reduce the temperature of the bearing; the cooling operation is to increase the power of a cooling fan of the winding, take more heat away through a winding gap, reduce the temperature of the winding, and are all regulation measures of a ventilator;
marking the execution time of oil injection operation and cooling operation as operation time, acquiring the time when the bearing temperature is reduced to the maximum value of a preset bearing temperature interval for the first time and the time when the winding temperature is reduced to below the preset winding temperature for the first time after the operation time, and marking the time as action time; calculating the time difference between the operation time and the action time to obtain the reaction time;
presetting a standard reaction time interval V, and generating a regulation strict signal when the reaction time is longer than the maximum value in the preset standard reaction time interval V; when the reaction time is within a preset standard reaction time interval V, generating a regulating hysteresis signal; when the reaction time length is smaller than the minimum value in the preset standard reaction time length interval V, generating an adjusting low-hysteresis signal; marking the generated adjustment strict signals, adjustment middle-lag signals and adjustment low-lag signals as adjustment signal groups, and sending the adjustment strict signals, the adjustment middle-lag signals and the adjustment low-lag signals to an early warning module;
the early warning module is used for receiving the vibration signal group and the adjusting signal group and carrying out comprehensive analysis and treatment on the vibration signal group and the adjusting signal group, and specifically comprises the following steps:
the vibration slight signal, the vibration moderate signal and the vibration severe signal of the vibration signal group are marked by the symbols L, L and L respectively, and the adjustment strict signal, the adjustment middle lag signal and the adjustment low lag signal of the adjustment signal group signal are marked by the symbols J, J and J respectively;
when receiving the L and J, generating a fan serious fault signal, displaying the fan serious fault signal by using 'fan serious fault, urgent maintenance processing' text, and when receiving the L and J, generating a fan light fault signal, displaying the fan light fault signal by using 'fan light fault, and repairing' text; and generating a fan moderate fault signal under other conditions, and displaying characters in the form of 'fan moderate fault and urgent maintenance requirement'.
When the device is used, the vibration signal group is obtained by carrying out numerical analysis on the vibration in the working state of the ventilator, so that the vibration supervision and the quantification of the vibration degree in the working state of the ventilator are realized, and the vibration state of the ventilator in the working state is reflected rapidly; the method comprises the steps of analyzing audio in the working state of the ventilator and judging whether audio abnormality exists, carrying out deep analysis on the operation parameters of the ventilator on the abnormal audio, outputting an abnormal shaft temperature value, an abnormal winding temperature value and an abnormal current value, carrying out normalization numerical analysis on the abnormal audio, the abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value to obtain a cutting machine value, triggering cutting machine operation when the cutting machine value is larger than a preset cutting machine value, realizing comprehensive analysis on the operation parameters of the ventilator, carrying out cutting machine operation according to the comprehensive analysis result, and reducing potential safety hazards; when the cutting machine value is smaller than a preset cutting machine value, respectively analyzing and diagnosing the output abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value, and respectively triggering corresponding adjusting operations; meanwhile, analyzing according to the time length reaching the required effect after the adjustment operation and generating an adjustment signal group; corresponding measures are adopted for different diagnoses of the ventilator, potential safety hazards and losses are effectively reduced, and meanwhile, tracking judgment is carried out on the effects after the measures are adopted; through carrying out integrated analysis with vibration signal group and regulation signal group, generate the ventilation blower fault signal, realize the timely early warning to the trouble of ventilation blower, reduce the fault probability of ventilation blower, improve the operational safety and reliability of general ventilation blower.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. A state fault monitoring and diagnosing system of a mine ventilator comprises a data acquisition module and a storage warehouse, wherein the data acquisition module acquires a fan vibration value, working audio and fan operation parameters and sends the fan vibration value, the working audio and the fan operation parameters to the storage warehouse; the system is characterized by also comprising a diagnosis module and an early warning module;
the diagnosis module monitors and diagnoses the fan vibration value of the fan to obtain a vibration signal group, wherein the vibration signal group comprises a vibration slight signal, a vibration medium signal and a vibration heavy signal; meanwhile, the audio frequency in the working state of the ventilator is analyzed and diagnosed to obtain an abnormal fluctuation fan and trigger the deep analysis of the operation parameters of the fan; obtaining an abnormal shaft temperature value, an abnormal winding temperature value and an abnormal current value according to deepening analysis of the fan operation parameters, carrying out comprehensive numerical analysis on the abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value to obtain a cutting machine value, triggering cutting machine operation when the cutting machine value is larger than a preset cutting machine value, and otherwise judging the abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value respectively: triggering oiling operation when the abnormal shaft temperature value is larger than a preset shaft temperature value; when the abnormal temperature value is larger than a preset Rao Wenzhi, triggering the cooling operation; when the abnormal current value is larger than the preset current value, triggering the cutting operation;
the specific steps of the cutting operation are as follows:
step one: performing online verification on all the alternative fans, and marking the alternative fans as primary fans when all the equipment of the alternative fans are in an online state;
step two: the method comprises the steps of performing inching on a primary selection fan, obtaining fan rotating speed, current and noise when the primary selection fan is inched, processing the fan rotating speed to obtain a rotating speed deviation value, processing the current to obtain a current deviation value, processing the noise to obtain a noise value, performing normalization processing on the rotating speed deviation value, the current deviation value and the noise value to obtain an aggregation value, and marking the primary selection fan with the largest aggregation value as a target fan;
step three: closing a ground air inlet door of the target ventilator, and acquiring the opening of a downhole air inlet door of the current ventilator, the negative pressure of the current ventilator and the frequency of the current ventilator; obtaining the exchange frequency and the exchange degree of the current ventilator and the current ventilator through data analysis processing, marking the exchange frequency and the exchange degree as exchange parameters, and switching the current ventilator and the target ventilator according to the exchange parameters; the exchange frequency refers to the time of each air door opening exchange of the current ventilator and the target ventilator;
obtaining an adjusting signal group according to the reaction time of the adjusting measure, wherein the adjusting signal group comprises an adjusting strict signal, an adjusting middle lag signal and an adjusting low lag signal; sending the vibration signal group and the adjusting signal group to an early warning module;
the early warning module is used for receiving the vibration signal group and the adjusting signal group, and comprehensively analyzing and early warning the vibration signal group and the adjusting signal group.
2. The system for monitoring and diagnosing the state faults of the mine ventilator according to claim 1, wherein the monitoring and diagnosing of the vibration value of the ventilator is specifically as follows:
obtaining a fan vibration value in unit time, updating a line graph of the vibration value and time in real time, and obtaining a line graph of the vibration value and time; transmitting the line graph of the real-time vibration value and time to a storage library for storage and display;
the method comprises the steps of presetting a standard value, marking a vibration value larger than the preset standard value as an analysis vibration value, and marking a time corresponding to the vibration value as an analysis time; arranging all the analysis vibration values and the corresponding analysis vibration values at the adjacent analysis vibration times according to a time sequence, performing difference calculation to obtain a vibration difference value, and performing time difference calculation on the corresponding adjacent analysis vibration times to obtain interval duration;
obtaining a vibration value through data processing of the vibration difference value and the interval duration, presetting a vibration abnormal interval Z1, and marking the vibration value as a slight abnormal vibration value when the vibration value is smaller than the minimum value in the preset vibration abnormal interval Z1; when the vibration abnormal value is within the preset vibration abnormal interval Z1, marking the middle abnormal vibration value by the vibration value, and when the vibration abnormal value is larger than the maximum value in the preset vibration abnormal interval Z1, marking the vibration value as the heavy abnormal vibration value;
counting the numbers marked as a slight abnormal vibration value, a moderate abnormal vibration value and a severe abnormal vibration value, and marking the numbers as mu1, mu2 and mu3; the number marked as the slight abnormal vibration value, the moderate abnormal vibration value and the severe abnormal vibration value is subjected to average value operation to obtain a number average value, and the number average value is marked as mu0; when mu1 > mu0 and mu1 is the maximum of mu1, mu2 and mu3, then the fan vibration status is marked as a vibration light signal; when mu2 > mu0 and mu2 is the maximum of mu1, mu2 and mu3, then marking the fan vibration status as a vibration neutral signal; when mu3 > mu0 and mu1 is the maximum of mu1, mu2 and mu3; and marking the vibration state of the fan as a vibration severe signal when the current fan blade is in the severe abnormal vibration state.
3. The system for monitoring and diagnosing the state faults of the mine ventilator according to claim 1, wherein the system for monitoring and diagnosing the audio frequency in the working state of the ventilator is specifically as follows:
acquiring working audio when the fan operates, and identifying the working audio to obtain an audio spectrogram when the fan operates; calculating the difference value of adjacent wave crests and wave troughs to obtain a fluctuation value, counting the fluctuation value of fans with preset days in the current time, obtaining the negative pressure of the fans with preset days in the current time, presetting a normal wind pressure interval, and when the negative pressure is within the normal wind pressure interval, calling the fluctuation value of the corresponding time period, and carrying out average calculation to obtain a normal fluctuation average value; carrying out difference calculation on the current fluctuation value and the fluctuation normal mean value to obtain fluctuation deviation, presetting standard deviation, marking the deviation as abnormal deviation when the fluctuation deviation is larger than the standard deviation, and marking the fluctuation value corresponding to the deviation as abnormal fluctuation value; carrying out cumulative summation operation on all the abnormal deviations to obtain an abnormal deviation total value, and counting the quantity of all the abnormal deviations; obtaining a fluctuation abnormal value through data processing of the total abnormal deviation value and the quantity of the abnormal deviation; presetting an abnormal fluctuation value, and when the fluctuation abnormal value is larger than the preset fluctuation abnormal value, marking the fan as an abnormal fluctuation fan and triggering operation parameter deepening analysis.
4. A mining ventilator state fault monitoring and diagnosis system according to claim 3, wherein the fan operating parameter deepening analysis is specifically as follows:
acquiring the bearing temperature marked as an abnormal fluctuation fan; presetting a standard bearing temperature interval, marking the bearing temperature as an abnormal bearing temperature when the bearing temperature is larger than the maximum value in the preset bearing temperature interval, and marking the moment corresponding to the abnormal bearing temperature as an abnormal shaft temperature moment; summing the abnormal bearing temperatures to obtain an abnormal shaft temperature sum, counting the number of abnormal shaft temperature moments, and processing the abnormal shaft temperature sum and the number of abnormal shaft temperature moments to obtain an abnormal shaft temperature value;
obtaining winding temperature marked as an abnormal fluctuation fan, performing variance calculation on the winding temperature, when the variance is larger than a preset variance value, summing the winding temperature larger than a preset standard winding temperature interval to obtain abnormal winding temperature sums, presetting each abnormal winding temperature sum to correspond to one abnormal winding temperature value, and matching the abnormal winding temperature sums with all preset abnormal winding temperature sums to obtain corresponding abnormal winding temperature values;
acquiring a current value marked as an abnormal fluctuation fan, presetting a standard current interval, marking the moment corresponding to the current as an abnormal current moment when the current value is not in the preset standard current interval, and calculating a difference value between the current value and the maximum value in the preset standard current interval to obtain an abnormal current deviation value; summing the abnormal current deviation values corresponding to all the abnormal current moments to obtain an abnormal current deviation total value, and multiplying the abnormal current deviation total value by a preset abnormal current deviation conversion value to obtain an abnormal current value;
obtaining a cutting machine value through data processing on the abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value, triggering ventilation cutting machine operation when the cutting machine value is larger than a preset cutting machine value, and judging the abnormal shaft temperature value, the abnormal winding temperature value and the abnormal current value respectively if the cutting machine value is not smaller than the preset cutting machine value: triggering oiling operation when the abnormal shaft temperature value is larger than a preset shaft temperature value; when the abnormal temperature value is larger than a preset Rao Wenzhi, triggering cooling operation, and when the abnormal current value is larger than a preset current value, triggering cutting operation;
marking the execution time of oil injection operation and cooling operation as operation time, acquiring the time when the bearing temperature is reduced to the maximum value of a preset bearing temperature interval for the first time and the time when the winding temperature is reduced to below the preset winding temperature for the first time after the operation time, and marking the time as action time; calculating the time difference between the operation time and the action time to obtain the reaction time;
presetting a standard reaction time interval V, and generating a regulation strict signal when the reaction time is longer than the maximum value in the preset standard reaction time interval V; when the reaction time is within a preset standard reaction time interval V, generating a regulating hysteresis signal; and when the reaction time length is smaller than the minimum value in the preset standard reaction time length interval V, generating an adjusting low hysteresis signal.
5. The system according to claim 1, wherein the early warning module is configured to receive the vibration signal set and the adjustment signal set, and perform comprehensive analysis and early warning on the vibration signal set and the adjustment signal set, and specifically:
the vibration slight signal, the vibration moderate signal and the vibration severe signal of the vibration signal group are marked by the symbols L, L and L respectively, and the adjustment strict signal, the adjustment middle lag signal and the adjustment low lag signal of the adjustment signal group signal are marked by the symbols J, J and J respectively;
when receiving the L and J, generating a fan serious fault signal, displaying the fan serious fault signal by using 'fan serious fault, urgent maintenance processing' text, and when receiving the L and J, generating a fan light fault signal, displaying the fan light fault signal by using 'fan light fault, and repairing' text; and generating a fan moderate fault signal under other conditions, and displaying characters in the form of 'fan moderate fault and urgent maintenance requirement'.
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| CN116577656B (en) * | 2023-07-12 | 2023-09-15 | 深圳盈特创智能科技有限公司 | Low-delay high-speed dryer zero-crossing detection system |
| CN117662510B (en) * | 2024-01-02 | 2024-06-07 | 徐州中矿科光机电新技术有限公司 | Fan fault diagnosis system and method thereof |
| CN117872024B (en) * | 2024-03-11 | 2024-05-31 | 国网黑龙江省电力有限公司绥化供电公司 | Fault diagnosis method for electric power supply and distribution system |
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