CN115831151B - Intelligent fault equipment monitoring device and method based on sound spectrum analysis - Google Patents
Intelligent fault equipment monitoring device and method based on sound spectrum analysis Download PDFInfo
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 96
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- 238000003745 diagnosis Methods 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 17
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- 238000006243 chemical reaction Methods 0.000 claims abstract description 5
- 238000001514 detection method Methods 0.000 claims description 22
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- 238000007664 blowing Methods 0.000 claims description 10
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- 238000004140 cleaning Methods 0.000 claims description 3
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Abstract
The invention discloses an intelligent fault equipment monitoring device and method based on sound spectrum analysis, and belongs to the field of power plant equipment monitoring. The invention discloses an intelligent fault equipment monitoring device based on sound spectrum analysis, which comprises: the front end of the monitoring device main body is provided with power plant equipment; the video monitoring module comprises a field camera module and an equipment auxiliary monitoring camera; the sound collection module comprises a spectrum analyzer and a signal conversion module, and the front end face of the sound collection module is provided with a sound receiver for absorbing sound. The invention solves the problems that the existing power plant equipment state monitoring is judged by a fault diagnosis model and the accuracy is poor. Vibration analysis and diagnosis in all-weather states are performed, a sound spectrum analysis method of the rotating machinery is mastered, intelligent statistical analysis of big data is achieved, the state of equipment is judged according to analysis results, the labor amount of operators is reduced, and fault diagnosis speed is increased.
Description
Technical Field
The invention relates to the technical field of monitoring of power plant equipment, in particular to an intelligent fault equipment monitoring device and method based on sound spectrum analysis.
Background
A power plant refers to a power plant that converts some form of primary energy into electrical energy for fixed facilities or transportation, and the failure of power plant equipment directly affects the electrical energy output of the power plant, and seriously affects the personal safety of equipment and staff. Therefore, the reliability and the safety of the unit operation process of the power plant are improved, accurate judgment can be timely made in the face of the abnormal state of the parameters in the unit operation process, and the method has important significance.
In the prior art, for example, the bulletin number is: according to the power plant equipment state monitoring method based on the intelligent perception technology, the reliability is judged according to the probability value of the fault type by the fault diagnosis model, the judgment result with low reliability is output to wait for manual calibration, the fault diagnosis model is continuously optimized in the use process, the fault type judgment accuracy can be continuously improved along with the continuous use of the model, and the problem that fault diagnosis signals are missed in the actual use process due to insufficient fault type data can be solved.
In the technology, the existing power plant equipment state monitoring is judged through the fault diagnosis model, the accuracy is poor, and meanwhile, the fault reflecting efficiency is low, so that the stable operation of the power plant is not facilitated.
Aiming at the defects, it is necessary to design an intelligent fault equipment monitoring device and method based on sound spectrum analysis.
Disclosure of Invention
The invention aims to provide an intelligent fault equipment monitoring device and method based on sound spectrum analysis, which can solve the problems that the existing power plant equipment state monitoring is judged through a fault diagnosis model, the accuracy is poor, the fault reflection efficiency is low, and the stable operation of a power plant is not facilitated.
In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent fault equipment monitoring device based on sound spectrum analysis, comprising:
the monitoring device comprises a monitoring device main body, wherein an installation cavity for installing monitoring equipment is formed in the monitoring device main body, a rear installation seat for on-site alarming of the equipment is installed at the rear end of the monitoring device main body, and power plant equipment is arranged at the front end of the monitoring device main body;
the method also comprises the following steps:
the device comprises a monitoring device main body, a sealing protection plate, an angle adjusting box and a hinge, wherein the sealing protection plate is used for protecting monitoring equipment, the sealing protection plate is arranged at two sides of the front end of the monitoring device main body, one side of the sealing protection plate is provided with a telescopic plate used for adjusting the length, the upper end and the lower end between the telescopic plate and the sealing protection plate are respectively provided with the angle adjusting box and the hinge used for adjusting the angle, and an electric motor is arranged in the angle adjusting box and is in transmission connection with the hinge through a gear;
the video monitoring module is used for intelligently monitoring faults of equipment and is positioned at the upper end of the monitoring device main body, and comprises a field camera module and an equipment auxiliary monitoring camera;
the sound collection module is used for collecting the sound collection module of the mechanical sound frequency spectrum of equipment rotation and is located in the installation cavity, the sound collection module comprises a frequency spectrum analyzer and a signal conversion module, and the front end face of the sound collection module is provided with a sound receiver for absorbing sound.
Preferably, the power plant equipment comprises a steam turbine, a water feeding pump steam turbine, a coal mill, a water feeding fan, a primary fan and a circulating water pump, the number of the monitoring device main bodies is the same as that of the power plant equipment, the output ends of the monitoring device main bodies are connected with the input ends of a server module, the output ends of the server module are respectively connected with the input ends of a computer end, an S I S system module and a signal tower, the server module is used for storing and receiving monitoring data information, the computer end is used for displaying images of fault equipment and listening to audio of the fault equipment, and the S I S system module is used for data butt joint and linkage.
Preferably, the output end of the S I S system module is connected with the input end of the alarm module, the output ends of the computer end and the signal tower are connected with the input end of the cloud database, the output end of the computer end is connected with the input end of the electronic fence access control, the output end of the signal tower is connected with the input end of the mobile phone end, the alarm module is used for remote alarm of fault equipment, the cloud database is used for statistics and analysis of big data of an audio frequency spectrum, and the electronic fence access control is used for matching with the personnel state of a monitoring safety range.
Preferably, the side mounting case is all installed to the both sides of monitoring devices main part, the internally mounted of side mounting case has electric screw, and electric screw and expansion plate threaded connection, the expansion plate extends to the inside of side mounting case and pass through slide rail sliding connection, the shield cover that is used for reducing external noise is all installed to the upper end and the lower extreme of sealed guard plate, sealed guard plate passes through hinge and expansion plate swing joint, be provided with vibration frequency detection sensor between shield cover and the power plant equipment, vibration frequency detection sensor is used for cooperating sound collection module to equipment synchronization monitoring.
Preferably, the lower extreme of monitoring device main part is installed and is used for waterproof installation base, just be used for rainproof top mount pad is installed to the top of monitoring device main part, install the protective transparent glass board between video monitoring module and the top mount pad, on-the-spot module of making a video recording is installed in the outside of video monitoring module, video monitoring module's lower extreme is provided with the light, the light is used for adjusting the inside light of monitoring device main part.
Preferably, the mobile station is installed to the rear end of sound collection module, the mobile station, the supplementary surveillance camera of equipment is installed in the upper end of mobile station, just the outside of the supplementary surveillance camera of equipment is provided with high definition digtal camera, install driving motor between supplementary surveillance camera of equipment and the mobile station, driving motor is used for adjusting the angular position of the supplementary surveillance camera of equipment, the inside of installation cavity is provided with signal receiving module.
Preferably, the auxiliary sliding frame is installed on both sides of the sound collection module, the auxiliary sliding frame is in sliding connection with the monitoring device main body through the sliding rail, a positioning sliding rod penetrates through the auxiliary sliding frame, a fixing frame is arranged on one side of the outer portion of the auxiliary sliding frame, the fixing frame is in welded connection with the monitoring device main body, an electric cylinder is installed on one side of the fixing frame, the electric cylinder penetrates through the fixing frame and is connected with one side of the auxiliary sliding frame through a fixing screw, and a spring damper is installed between the auxiliary sliding frame and the mobile station.
Preferably, the outside of back mount pad is provided with the scene alarm, the warning light is installed to the upper end of scene alarm, the preceding terminal surface of scene alarm is provided with the speaker, just the below of scene alarm is provided with the monitoring ammeter, just the outward appearance of back mount pad is provided with the louvre, connecting wire is installed to the lower extreme of back mount pad, the below of connecting wire is provided with the cable frame.
Preferably, soot blowing modules are mounted on two sides of the interior of the monitoring device main body, the soot blowing modules are used for cleaning dust between equipment and the monitoring device main body, blowers are mounted on the upper ends of the two soot blowing modules, and air outlets are formed in the exterior of the blowers.
A fault equipment intelligent monitoring device method based on sound spectrum analysis comprises the following steps:
step one: installing a monitoring device main body outside the power plant equipment needing state monitoring;
step two: the length of the expansion plate and the angle of the closed protection plate are adjusted, so that the position of the shielding cover is suitable for power plant equipment, and after the vibration frequency detection sensor and the sound acquisition module are fixed, the signal receiving module is connected with the server module through a connecting wire;
step three: the sound information received by the radio of the sound acquisition module is sent to the server module, meanwhile, the frequency data recorded by the vibration frequency detection sensor is synchronously sent, the data are integrated and compared with the sound and vibration frequency data of normal equipment in the cloud database through the server module, and the sound frequency spectrum analysis method of the rotating machinery is mastered through vibration analysis and diagnosis in an all-weather state, so that the intelligent statistical analysis of big data is realized;
step four: after data are compared and analyzed, the statistical analysis of big data is realized, the statistical analysis and judgment of various accidents of corresponding equipment are realized, the power plant equipment with abnormal data is remotely operated through a computer end, a video monitoring module is opened, and the positions of an auxiliary sliding frame and a mobile station are adjusted through the telescopic adjustment of an electric cylinder, so that the positions of an auxiliary monitoring camera and the positions of a sound collecting module of the equipment are adjusted, and multi-angle monitoring is realized;
step five: and (3) linking the monitoring data with the SIS system module, and realizing the operation of the field camera and the equipment and the real-time switching under the fault state in a manual switching mode of an operator.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the intelligent monitoring device and the intelligent monitoring method for the fault equipment based on the sound spectrum analysis, in the working process of the power plant equipment, the main body of the monitoring device is installed outside the power plant equipment which needs to be subjected to state monitoring, sound information received by a radio of a sound acquisition module is sent to a server module, meanwhile, frequency data recorded by a vibration frequency detection sensor are synchronously sent, the server module integrates and compares the data with normal equipment sound and vibration frequency data in a cloud database, a sound spectrum analysis method of rotating machinery is mastered through vibration analysis and diagnosis in all-weather states, intelligent statistical analysis of big data is realized, the state of the equipment is judged according to analysis results, the problems that operators are required to arrive in person under the current power plant equipment starting and stopping and fault states are solved, the labor capacity of the operators is reduced, the management and control level of all-level production managers on site equipment is improved, the labor capacity is reduced, the fault diagnosis of the site rotating equipment can be effectively solved based on the sound spectrum analysis of the big data, the reliability of the equipment is improved, and the fault rate is reduced.
2. According to the intelligent fault equipment monitoring device and the intelligent fault equipment monitoring method based on the sound spectrum analysis, after data are compared and analyzed, statistical analysis and judgment of various accidents of corresponding equipment are realized, the power plant equipment with abnormal data is remotely operated through a computer end, a video monitoring module is opened, the positions of an auxiliary sliding rack and a mobile station are adjusted through telescopic adjustment of an electric cylinder, the positions of an auxiliary monitoring camera and the positions of a sound collecting module of the equipment are adjusted, multi-angle monitoring is realized, the operation of the auxiliary monitoring camera and the equipment and the real-time switching under a fault state are realized in a manual switching mode of an operator through linkage of an SIS system module of the site camera, the mastering degree of the operator on the site equipment is improved, the site inspection intensity of the operator is reduced, and the reliability and the stability of the equipment are improved.
3. According to the intelligent fault equipment monitoring device and the intelligent fault equipment monitoring method based on the sound spectrum analysis, the data information monitored by the monitoring device main body is sent to the server module, the remote management can be realized through the computer end, the image can be watched through the sound at the computer end, the people reduction and synergy can be realized, the reliability of equipment is improved, the electronic fence entrance guard can be controlled through the computer end, the personnel state of the safety range is monitored by matching with the electronic fence system, and the monitoring data information can be received remotely through the mobile phone end, so that the working state of the equipment can be obtained outside the power plant by the staff.
Drawings
FIG. 1 is an isometric view of the front view of the present invention;
FIG. 2 is an isometric view of the closure panel of the present invention from the top after deployment;
FIG. 3 is an isometric view of the closure shield of the present invention after deployment;
FIG. 4 is an isometric view of the invention with the closure shield deployed from the rear;
FIG. 5 is an enlarged view of a portion of the area A of FIG. 3 in accordance with the present invention;
FIG. 6 is an enlarged view of a portion of the area B of FIG. 4 in accordance with the present invention;
FIG. 7 is an isometric view of a side view of the monitoring process of the present invention;
FIG. 8 is an isometric view of a top view of the monitoring process of the present invention;
FIG. 9 is a schematic diagram of a monitoring system according to the present invention;
fig. 10 is a schematic diagram of the monitoring system of the present invention.
In the figure: 1. a monitoring device body; 101. a side mounting box; 102. a mounting base; 103. a top mount; 104. a rear mounting base; 1041. connecting wires; 1042. a field alarm; 1043. a speaker; 1044. an alarm lamp; 1045. monitoring an ammeter; 1046. a cable rack; 1047. a heat radiation hole; 105. a mounting cavity; 106. a fixing frame; 107. an electric cylinder; 108. a signal receiving module; 2. sealing the protection plate; 201. a telescoping plate; 202. a shield; 203. an angle adjusting box; 2031. an electric motor; 204. a vibration frequency detection sensor; 3. a video monitoring module; 301. a field camera module; 302. a lighting lamp; 303. a protective transparent glass plate; 305. a device-assisted monitoring camera; 306. high definition camera; 4. a sound collection module; 401. a radio; 402. a mobile station; 403. an auxiliary carriage; 404. positioning a slide bar; 5. a soot blowing module; 501. a blower; 502. an air outlet; 6. a power plant; 7. a computer terminal; 8. a server module; 9. an SIS system module; 10. an alarm module; 11. a signal tower; 12. a cloud database; 13. a mobile phone terminal; 14. and E, electronic fence entrance guard.
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.
In order to solve the technical problems that in the prior art, equipment state monitoring of a power plant is judged through a fault diagnosis model, the accuracy is poor, the reflection efficiency of faults is low, and stable operation of the power plant is not facilitated, referring to fig. 1-7, the following technical scheme is provided:
an intelligent fault equipment monitoring device based on sound spectrum analysis, comprising:
the monitoring device comprises a monitoring device main body 1, wherein an installation cavity 105 for installing monitoring equipment is arranged in the monitoring device main body 1, a rear installation seat 104 for alarming equipment on site is arranged at the rear end of the monitoring device main body 1, and power plant equipment 6 is arranged at the front end of the monitoring device main body 1;
the method also comprises the following steps:
the two sealing protection plates 2 are arranged for protecting the monitoring equipment, the two sealing protection plates 2 are respectively positioned at two sides of the front end of the monitoring device main body 1, a telescopic plate 201 for adjusting the length is arranged at one side of the sealing protection plates 2, an angle adjusting box 203 and a hinge for adjusting the angle are arranged at the upper end and the lower end between the telescopic plate 201 and the sealing protection plates 2, an electric motor 2031 is arranged in the angle adjusting box 203, and the electric motor 2031 is in transmission connection with the hinge through a gear;
the video monitoring module 3 is used for intelligently monitoring the fault of equipment, the video monitoring module 3 is positioned at the upper end of the monitoring device main body 1, and the video monitoring module 3 comprises a field camera module 301 and an equipment auxiliary monitoring camera 305;
the sound collection module 4 is used for collecting the sound spectrum of the rotating machinery of the equipment, the sound collection module 4 is positioned in the installation cavity 105, the sound collection module 4 comprises a spectrum analyzer and a signal conversion module, and the front end face of the sound collection module 4 is provided with a sound receiver 401 used for absorbing sound;
the spectrum analyzer adopts a model RSA3045-TG 4.5GHz spectrum analyzer, and the signal conversion module adopts an audio converter with a model AX-A12.
Specifically, in the operation of the power plant 6, the monitoring device main body 1 is installed outside the power plant 6 to be subjected to state monitoring, the sound information received by the radio 401 of the sound collecting module 4 and the frequency data recorded by the vibration frequency detecting sensor 204 are compared with the sound and vibration frequency data of normal equipment, the vibration analysis and diagnosis under all-weather conditions are adopted to master the sound spectrum analysis method of the rotating machinery, the intelligent statistical analysis of big data is realized, the state of the equipment is judged according to the analysis result, the problem that the operation personnel is required to arrive in person under the starting and stopping and fault conditions of the power plant 6 at present is solved, the labor capacity of the operation personnel is reduced, the diagnosis and processing speed of the faults is increased, the management level of production management personnel at all levels on the field equipment is improved, the labor capacity is reduced, the fault diagnosis of the field rotating equipment can be effectively solved based on the sound spectrum analysis of the big data, and the fault rate is reduced.
In order to solve the technical problem that in the prior art, the monitoring device has few functionalities and the monitoring effect is reduced in a special environment, please refer to fig. 2-4, the following technical scheme is provided:
soot blowing modules 5 are installed on two sides of the inside of the monitoring device main body 1, the soot blowing modules 5 are used for cleaning dust between equipment and the monitoring device main body 1, air blowers 501 are installed at the upper ends of the two soot blowing modules 5, and air outlets 502 are formed in the outer portions of the air blowers 501.
Specifically, under long-term work, the detection component surface of monitoring device main part 1 receives the influence of dust, reduces the monitoring effect, blows off the dust on every side through opening air-blower 501, keeps monitoring device main part 1 inside clean, is favorable to adapting to long-term detection work.
In order to solve the technical problem that in the prior art, under the working environment of a power plant, the detection effect of monitoring equipment is general and is unfavorable for long-term use, please refer to fig. 3-8, the following technical scheme is provided:
the side mounting box 101 is all installed to monitoring devices main part 1's both sides, the internally mounted of side mounting box 101 has electric screw, and electric screw and expansion plate 201 threaded connection, expansion plate 201 extends to the inside of side mounting box 101 and side mounting box 101 pass through slide rail sliding connection, the shield cover 202 that is used for reducing external noise is all installed to the upper end and the lower extreme of sealed guard plate 2, sealed guard plate 2 passes through hinge and expansion plate 201 swing joint, be provided with vibration frequency detection sensor 204 between shield cover 202 and the power plant equipment 6, vibration frequency detection sensor 204 is used for cooperation sound collection module 4 to equipment synchronization monitoring.
The lower extreme of monitoring device main part 1 is installed and is used for waterproof installation base 102, and is used for rainproof top mount pad 103 is installed to the top of monitoring device main part 1, installs protection transparent glass board 303 between video monitoring module 3 and the top mount pad 103, and on-the-spot module of making a video recording 301 is installed in the outside of video monitoring module 3, and the lower extreme of video monitoring module 3 is provided with light 302, and light 302 is used for adjusting the inside light of monitoring device main part 1.
The mobile station 402 is installed to the rear end of sound collection module 4, and mobile station 402, equipment auxiliary monitoring camera 305 are installed in the upper end of mobile station 402, and the outside of equipment auxiliary monitoring camera 305 is provided with high definition digtal camera 306, installs driving motor between equipment auxiliary monitoring camera 305 and the mobile station 402, and driving motor is used for adjusting the angular position of equipment auxiliary monitoring camera 305, and the inside of installation cavity 105 is provided with signal receiving module 108.
The auxiliary sliding frame 403 is all installed to the both sides of sound collection module 4, auxiliary sliding frame 403 passes through slide rail and monitoring device main part 1 sliding connection, and auxiliary sliding frame 403's inside runs through has location slide bar 404, and auxiliary sliding frame 403's outside one side is provided with mount 106, mount 106 and monitoring device main part 1 welded connection, and electric cylinder 107 is installed to one side of mount 106, electric cylinder 107 runs through mount 106 and auxiliary sliding frame 403's one side and passes through the fixed screw connection, installs spring damper between auxiliary sliding frame 403 and the mobile station 402.
Specifically, the length of the expansion plate 201 and the angle of the closed protection plate 2 are adjusted, the position of the shielding cover 202 is adapted to the power plant equipment 6, after data is compared and analyzed, big data statistical analysis is achieved, statistical analysis and judgment of various accidents of corresponding equipment are achieved, the video monitoring module 3 is opened, the positions of the auxiliary sliding frame 403 and the mobile station 402 are adjusted through the expansion of the electric cylinder 107, the position of the auxiliary monitoring camera 305 and the position of the sound collecting module 4 are adjusted, multi-angle monitoring is achieved, contents such as on-site fault alarm, equipment start-stop operation and the like are in butt joint with a monitoring system, when problems occur, the nearby video monitoring module 3 can be timely mobilized to check corresponding equipment, the mastering degree of operators on site equipment can be improved, the site inspection intensity of operators is reduced, and the reliability and stability of equipment are improved.
In order to solve the technical problem that in the prior art, the monitoring device has a general alarm effect and can not inform staff in time, please refer to fig. 9, the following technical scheme is provided:
the outside of back mount pad 104 is provided with on-the-spot alarm 1042, and alarm lamp 1044 is installed to the upper end of on-the-spot alarm 1042, and the front end face of on-the-spot alarm 1042 is provided with speaker 1043, and the below of on-the-spot alarm 1042 is provided with monitoring ammeter 1045, and the outward appearance of back mount pad 104 is provided with louvre 1047, and connecting wire 1041 is installed to the lower extreme of back mount pad 104, and the below of connecting wire 1041 is provided with cable frame 1046.
Specifically, the data transmission of the monitoring device main body 1 can be performed through the connecting wire 1041, the heat dissipation is performed inside the monitoring device main body 1 through the heat dissipation hole 1047, if the monitoring device main body 1 detects that the state of the power plant equipment 6 is abnormal, the on-site alarm 1042 can give an alarm, the loudspeaker 1043 and the alarm lamp 1044 are turned on, workers around the equipment are notified in time, the rapid processing is performed, and the loss is reduced.
In order to solve the technical problem that in the prior art, the monitoring device is not linked with the DCS, the TS I and the main auxiliary machine vibration monitoring system, and the target centralized display during the fault state of the corresponding equipment cannot be achieved, referring to FIG. 10, the following technical scheme is provided:
the power plant equipment 6 comprises a steam turbine, a water feeding pump steam turbine, a coal mill, a draught fan, a primary fan and a circulating water pump, the number of the monitoring device main bodies 1 is the same as that of the power plant equipment 6, the output ends of the monitoring device main bodies 1 are connected with the input ends of a server module 8, the output ends of the server module 8 are respectively connected with the input ends of a computer end 7, an SIS system module 9 and a signal tower 11, the server module 8 is used for storing and receiving monitoring data information, the computer end 7 is used for displaying images of fault equipment and listening to audio of the fault equipment, and the SIS system module 9 is used for docking and linking data;
the server module 8 is a server module 8 with the model number of Fus I onServer 2288H V5, and the SIS system module 9 is a SIS system module 9 with the model number of S7-400F/FH.
The output end of the S I S system module 9 is connected with the input end of the alarm module 10, the output ends of the computer end 7 and the signal tower 11 are connected with the input end of the cloud database 12, the output end of the computer end 7 is connected with the input end of the electronic fence entrance guard 14, the output end of the signal tower 11 is connected with the input end of the mobile phone end 13, the alarm module 10 is used for remote alarm of fault equipment, the cloud database 12 is used for statistics and analysis of big data of audio frequency spectrum, and the electronic fence entrance guard 14 is used for matching with personnel states in a monitoring safety range.
Specifically, the data are integrated and compared with the sound and vibration frequency data of normal equipment in the cloud database 12 through the server module 8, the sound spectrum analysis method of the rotating machinery is mastered through vibration analysis and diagnosis in all-weather states, intelligent statistical analysis of big data is achieved, the monitoring data are linked with the SIS system module 9, the operation of the field cameras and the equipment and the real-time switching in the fault state are achieved through the manual switching mode of operators, the data information monitored by the monitoring device main body 1 is sent to the server module 8, the computer end 7 can be used for remote management, the computer end 7 can listen to the sound to see images, the electronic fence 14 can be controlled through the computer end 7, the personnel state of the safety range is monitored through the electronic fence system, the monitoring data information can be received remotely through the mobile phone end 13, and the working state of the equipment can be obtained outside the power plant by the staff.
Referring to fig. 1-10, a method for intelligent monitoring device of fault equipment based on sound spectrum analysis includes the following steps:
step one: externally installing the monitoring device body 1 to the power plant equipment 6 which needs to be subjected to state monitoring;
step two: adjusting the length of the expansion plate 201 and the angle of the closed protection plate 2 to enable the position of the shielding cover 202 to be suitable for the power plant equipment 6, and connecting the signal receiving module 108 with the server module 8 through the connecting lead 1041 after fixing the vibration frequency detection sensor 204 and the sound collecting module 4;
step three: the sound information received by the radio 401 of the sound acquisition module 4 is sent to the server module 8, meanwhile, the frequency data recorded by the vibration frequency detection sensor 204 is synchronously sent, the data are integrated and compared with the sound and vibration frequency data of normal equipment in the cloud database 12 through the server module 8, and the sound spectrum analysis method of the rotating machinery is mastered through vibration analysis and diagnosis in an all-weather state, so that the intelligent statistical analysis of big data is realized;
step four: after the data is compared and analyzed, the statistical analysis and judgment of various accidents of corresponding equipment are realized, the power plant equipment 6 with abnormal data is remotely operated through a computer end 7, the video monitoring module 3 is opened, and the positions of the auxiliary sliding frame 403 and the mobile station 402 are telescopically regulated through the electric cylinder 107, so that the positions of the auxiliary monitoring camera 305 and the sound collecting module 4 of the equipment are regulated, and multi-angle monitoring is realized;
step five: and the monitoring data are linked with the SIS system module 9, and the operation of the field camera and the equipment and the real-time switching under the fault state are realized by a manual switching mode of an operator.
Working principle: the monitoring device main body 1 is externally arranged on the power plant equipment 6 which needs to be subjected to state monitoring, the length of the expansion plate 201 and the angle of the closed protection plate 2 are adjusted, the position of the shielding cover 202 is adapted to the power plant equipment 6, after the vibration frequency detection sensor 204 and the sound collection module 4 are fixed, the signal receiving module 108 is connected with the server module 8 through the connecting wire 1041, the sound information received by the radio 401 of the sound collection module 4 and the frequency data recorded by the vibration frequency detection sensor 204 are compared with the sound and vibration frequency data of normal equipment, the vibration analysis and diagnosis under all-weather conditions are used for grasping the sound spectrum analysis method of the rotating machinery, the intelligent statistical analysis of big data is realized, the state of the equipment is judged according to the analysis result, the problem that the current power plant equipment 6 is started and stopped and the operation personnel needs to arrive in person under the fault condition is solved, the method reduces the labor capacity of operators, accelerates the diagnosis and processing speed of faults, improves the management and control level of production managers on each level to field devices, reduces the labor capacity, can effectively solve the fault diagnosis of the field rotating devices based on the sound spectrum analysis of big data, improves the reliability of the devices, reduces the fault rate, influences the surface of a detection component of the monitoring device main body 1 by dust under long-term working, reduces the monitoring effect, blows off surrounding dust by opening the blower 501, keeps the inside of the monitoring device main body 1 clean, is beneficial to adapting to long-term detection work, transmits sound information received by the radio 401 of the sound acquisition module 4 to the server module 8, synchronously transmits frequency data recorded by the vibration frequency detection sensor 204, the server module 8 is used for integrating the data into the sound and vibration frequency data of the normal equipment in the comparison cloud database 12, the vibration analysis and diagnosis under all-weather conditions are used for grasping the sound spectrum analysis method of the rotating machinery, intelligent statistical analysis of big data is realized, the server module 8 is used for integrating the data into the sound and vibration frequency data of the normal equipment in the comparison cloud database 12, the vibration analysis and diagnosis under all-weather conditions are used for grasping the sound spectrum analysis method of the rotating machinery, intelligent statistical analysis of the big data is realized, the monitoring data is linked with the S I S system module 9, the operation of the field camera and the equipment and the real-time switching under the fault conditions are realized through the manual switching of an operator, the data information monitored by the monitoring device main body 1 is transmitted to the server module 8, the remote management can be realized through the computer end 7, the sound can be heard for watching the image, the people can be reduced, the efficiency can be improved, the electronic fence 14 can be controlled through the computer end 7, the personnel state of the monitoring safety range of the electronic fence system can be matched, and the working state of the monitoring equipment can be remotely obtained through the mobile phone end 13, and the working state of the monitoring equipment can be remotely obtained outside the power plant.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent fault equipment monitoring device based on sound spectrum analysis, comprising:
the monitoring device comprises a monitoring device main body (1), wherein an installation cavity (105) for installing monitoring equipment is formed in the monitoring device main body (1), a rear installation seat (104) for alarming equipment on site is installed at the rear end of the monitoring device main body (1), and power plant equipment (6) is arranged at the front end of the monitoring device main body (1);
it is characterized in that the method also comprises the following steps:
the device comprises a closed protection plate (2), wherein the closed protection plate (2) for protecting monitoring equipment is provided with two closed protection plates (2), the two closed protection plates (2) are respectively positioned at two sides of the front end of a monitoring device main body (1), a telescopic plate (201) for adjusting the length is arranged at one side of the closed protection plate (2), an angle adjusting box (203) for adjusting the angle and a hinge are respectively arranged at the upper end and the lower end between the telescopic plate (201) and the closed protection plate (2), an electric motor (2031) is arranged in the angle adjusting box (203), and the electric motor (2031) is in transmission connection with the hinge through a gear;
the video monitoring module (3) is used for intelligently monitoring equipment faults, the video monitoring module (3) is positioned at the upper end of the monitoring device main body (1), and the video monitoring module (3) comprises a field camera module (301) and an equipment auxiliary monitoring camera (305);
the sound collection module (4) is used for collecting the sound collection module (4) of the mechanical sound frequency spectrum of equipment rotation and is located the inside of installation cavity (105), sound collection module (4) are including spectrum analyzer and signal conversion module, the preceding terminal surface of sound collection module (4) is provided with radio (401) that are used for inhaling sound.
2. The intelligent fault equipment monitoring device based on sound spectrum analysis according to claim 1, wherein: the power plant equipment (6) comprises a steam turbine, a water feeding pump steam turbine, a coal mill, a water feeding fan, a primary fan and a circulating water pump, the number of the monitoring device main bodies (1) is the same as that of the power plant equipment (6), the output ends of the monitoring device main bodies (1) are connected with the input ends of the server modules (8), the output ends of the server modules (8) are respectively connected with the input ends of the computer ends (7), the SIS system modules (9) and the signal towers (11), the server modules (8) are used for storing and receiving and transmitting monitoring data information, the computer ends (7) are used for displaying images of fault equipment and listening to audio of the fault equipment, and the SIS system modules (9) are used for data butt joint and linkage.
3. The intelligent fault equipment monitoring device based on sound spectrum analysis according to claim 2, wherein: the intelligent control system is characterized in that the output end of the SIS system module (9) is connected with the input end of the alarm module (10), the output ends of the computer end (7) and the signal tower (11) are connected with the input end of the cloud database (12), the output end of the computer end (7) is connected with the input end of the electronic fence entrance guard (14), the output end of the signal tower (11) is connected with the input end of the mobile phone end (13), the alarm module (10) is used for remotely alarming fault equipment, the cloud database (12) is used for statistics and analysis of big data of an audio frequency spectrum, and the electronic fence entrance guard (14) is used for matching and monitoring personnel states in a safety range.
4. A fault device intelligent monitoring apparatus based on sound spectrum analysis according to claim 3, wherein: the utility model discloses a monitoring device, including monitoring device main part (1), side install case (101) both sides, the internally mounted of side install case (101) has electric screw, and electric screw and expansion plate (201) threaded connection, inside that expansion plate (201) extend to side install case (101) and side install case (101) pass through slide rail sliding connection, shield cover (202) that are used for reducing external noise are all installed to the upper end and the lower extreme of sealed guard plate (2), sealed guard plate (2) pass through hinge and expansion plate (201) swing joint, be provided with vibration frequency detection sensor (204) between shield cover (202) and power plant equipment (6), vibration frequency detection sensor (204) are used for cooperation sound collection module (4) to equipment synchronization monitoring.
5. The intelligent fault equipment monitoring device based on sound spectrum analysis according to claim 4, wherein: the waterproof top mount pad (103) that is used for rain-proof is installed to the lower extreme of monitoring device main part (1), just the top of monitoring device main part (1), install between video monitoring module (3) and top mount pad (103) and protect transparent glass board (303), on-the-spot module of making a video recording (301) is installed in the outside of video monitoring module (3), the lower extreme of video monitoring module (3) is provided with light (302), light (302) are used for adjusting the inside light of monitoring device main part (1).
6. The intelligent fault equipment monitoring device based on sound spectrum analysis according to claim 5, wherein: the mobile station (402) is installed to the rear end of sound collection module (4), mobile station (402), the upper end at mobile station (402) is installed to supplementary surveillance camera machine (305) of equipment, just the outside of supplementary surveillance camera machine (305) of equipment is provided with high definition digtal camera (306), install driving motor between supplementary surveillance camera machine (305) of equipment and mobile station (402), driving motor is used for adjusting the angular position of supplementary surveillance camera machine (305) of equipment, the inside of installation chamber (105) is provided with signal receiving module (108).
7. The intelligent fault equipment monitoring device based on sound spectrum analysis according to claim 6, wherein: auxiliary sliding frames (403) are arranged on two sides of the sound collection module (4), the auxiliary sliding frames (403) are connected with the monitoring device main body (1) in a sliding mode through sliding rails, positioning sliding rods (404) penetrate through the auxiliary sliding frames (403), fixing frames (106) are arranged on one side of the outer portions of the auxiliary sliding frames (403), the fixing frames (106) are connected with the monitoring device main body (1) in a welding mode, electric cylinders (107) are arranged on one side of the fixing frames (106), the electric cylinders (107) penetrate through the fixing frames (106) and one side of the auxiliary sliding frames (403) and are connected through fixing screws, and spring dampers are arranged between the auxiliary sliding frames (403) and the mobile stations (402).
8. The intelligent fault equipment monitoring device based on sound spectrum analysis according to claim 7, wherein: the outside of back mount pad (104) is provided with on-the-spot alarm (1042), warning light (1044) are installed to the upper end of on-the-spot alarm (1042), the preceding terminal surface of on-the-spot alarm (1042) is provided with speaker (1043), just the below of on-the-spot alarm (1042) is provided with monitoring ammeter (1045), just the outward appearance of back mount pad (104) is provided with louvre (1047), connecting wire (1041) are installed to the lower extreme of back mount pad (104), the below of connecting wire (1041) is provided with cable frame (1046).
9. The intelligent fault equipment monitoring device based on sound spectrum analysis according to claim 8, wherein: soot blowing modules (5) are arranged on two sides of the inside of the monitoring device main body (1), the soot blowing modules (5) are used for cleaning dust between equipment and the monitoring device main body (1), a blower (501) is arranged at the upper ends of the two soot blowing modules (5), and an air outlet (502) is formed in the outside of the blower (501).
10. A method of intelligent monitoring of a fault device based on sound spectrum analysis according to claim 9, comprising the steps of:
step one: installing a monitoring device main body (1) outside a power plant equipment (6) needing state monitoring;
step two: the length of the expansion plate (201) and the angle of the closed protection plate (2) are adjusted, so that the position of the shielding cover (202) is adapted to the power plant equipment (6), and after the vibration frequency detection sensor (204) and the sound acquisition module (4) are fixed, the signal receiving module (108) is connected with the server module (8) through the connecting lead (1041);
step three: the sound information received by a radio (401) of the sound acquisition module (4) is sent to a server module (8), meanwhile, frequency data recorded by a vibration frequency detection sensor (204) is synchronously sent, the data are integrated and compared with normal equipment sound and vibration frequency data in a cloud database (12) through the server module (8), and the sound spectrum analysis method of the rotating machinery is mastered through vibration analysis and diagnosis in all-weather states, so that intelligent statistical analysis of big data is realized;
step four: after data are compared and analyzed, the statistical analysis and judgment of various accidents of corresponding equipment are realized, the power plant equipment (6) with abnormal data is remotely operated through a computer end (7), a video monitoring module (3) is opened, and the positions of an auxiliary sliding frame (403) and a mobile station (402) are telescopically adjusted through an electric cylinder (107), so that the positions of an auxiliary monitoring camera (305) and the positions of a sound acquisition module (4) of the equipment are adjusted, and multi-angle monitoring is realized;
step five: and (3) linking the monitoring data with an SIS system module (9), and realizing the operation of the field camera and the equipment and the real-time switching under the fault state by a manual switching mode of an operator.
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| CN114255784A (en) * | 2021-12-20 | 2022-03-29 | 广东电网有限责任公司 | Substation equipment fault diagnosis method based on voiceprint recognition and related device |
| CN114821921A (en) * | 2022-04-02 | 2022-07-29 | 太原理工大学 | Intelligent voiceprint recognition platform for monitoring running state of important auxiliary equipment of thermal power plant |
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| KR102393095B1 (en) * | 2021-10-06 | 2022-05-02 | 가온플랫폼 주식회사 | A system for predicting and diagnosing malfunctions in rotating equipment based on artificial intelligence using vibration, sound, and image data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114255784A (en) * | 2021-12-20 | 2022-03-29 | 广东电网有限责任公司 | Substation equipment fault diagnosis method based on voiceprint recognition and related device |
| CN114821921A (en) * | 2022-04-02 | 2022-07-29 | 太原理工大学 | Intelligent voiceprint recognition platform for monitoring running state of important auxiliary equipment of thermal power plant |
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