CN117066968A - Real-time fault diagnosis detecting system for drilling, tapping and milling - Google Patents
Real-time fault diagnosis detecting system for drilling, tapping and milling Download PDFInfo
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- CN117066968A CN117066968A CN202310653432.1A CN202310653432A CN117066968A CN 117066968 A CN117066968 A CN 117066968A CN 202310653432 A CN202310653432 A CN 202310653432A CN 117066968 A CN117066968 A CN 117066968A
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- 238000003801 milling Methods 0.000 title claims abstract description 57
- 238000005553 drilling Methods 0.000 title claims abstract description 25
- 238000010079 rubber tapping Methods 0.000 title claims abstract description 25
- 238000003745 diagnosis Methods 0.000 title claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 238000002360 preparation method Methods 0.000 claims abstract description 11
- 238000013024 troubleshooting Methods 0.000 claims description 24
- 238000005299 abrasion Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 230000010354 integration Effects 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 230000000007 visual effect Effects 0.000 claims description 6
- 238000005096 rolling process Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 5
- 230000003746 surface roughness Effects 0.000 claims description 5
- 238000003860 storage Methods 0.000 claims description 4
- 238000013075 data extraction Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 2
- 238000011835 investigation Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000002035 prolonged effect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000003754 machining Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/09—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/09—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
- B23Q17/0952—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool during machining
- B23Q17/0957—Detection of tool breakage
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention discloses a real-time fault diagnosis detection system for drilling, tapping and milling, which particularly relates to the technical field of equipment fault monitoring, and comprises a region dividing module, a monitoring preparation module, a data acquisition module, a data calculation module, a data comparison and judgment module, a judgment result feedback module and a voice prompt module.
Description
Technical Field
The invention relates to the technical field of equipment fault detection, in particular to a real-time fault diagnosis detection system for drilling, tapping and milling.
Background
The numerical control drilling, tapping and milling integrated machine is a machine which can complete the processes of drilling, tapping, grooving, plane milling and the like, is multipurpose, saves the cost of purchasing machines for enterprises, reduces the labor cost, effectively controls the production cost, is widely applied, is mainly applied to efficient machining of workpieces such as metal spare parts, dies and the like, is fully automatic in numerical control during machining, is simple and quick to operate, and really realizes high-precision, automatic, multi-variety and mass production, and mainly comprises milling cutters, bearings and other auxiliary equipment, wherein the milling cutters and the bearings are main devices of the equipment, so that equipment faults are easily caused by cutter abrasion and bearing eccentric vibration.
However, in the use process of the equipment, regular maintenance is required for the equipment, however, when equipment fault investigation and maintenance are performed, the equipment can only be manually judged or disassembled and assembled, when the equipment breaks down, a fault area can not be obtained in a short time, manual investigation can only be performed, intelligent equipment is lacking in fault detection for the machine, time and labor are consumed, the fault monitoring efficiency can not be effectively improved, the service life of the machine is prolonged, the equipment fault maintenance cost is high, the time is long, and a proper analysis system is lacking to provide fault monitoring assistance.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a real-time fault diagnosis detection system for drilling, tapping and milling processing, which solves the problems in the background art by additionally arranging a device cutter abrasion degree calculation unit, a bearing working quality calculation unit and a sub-region fault overhaul demand index calculation unit and calculating the fault overhaul demand index of each sub-region of the device.
In order to achieve the above purpose, the present invention provides the following technical solutions:
preferably, the region dividing module is used for dividing the whole drilling, tapping and milling processing equipment into n regions according to the position of a milling machine tool, and each region comprises m bearing devices;
preferably, a user of the monitoring preparation module lays a sensor at a key part of the device, the sensor monitors and records operation data of the device in a t time period, n groups of data are monitored every t time period, the system is connected with a database of each sensor to store and update the data of the device in real time, and the monitoring preparation module specifically comprises:
a sensor layout unit: arranging force-sensitive, inertial and visual sensors in all subareas of the equipment, and monitoring a group of subarea equipment data at intervals of t time by utilizing the various sensors;
a device connection unit: connecting the system to a database of sensor equipment, receiving and backing up each group of data acquired by the sensor, and storing the data into the database of the system
Preferably, the data acquisition module is used for extracting required data by a system in a keyword extraction mode for data monitored by the sensor, integrating and numbering the extracted data in sequence, and the data acquisition unit specifically comprises:
a data extraction unit: the system extracts all data detected by the sensor in a keyword extraction mode, and transmits the extracted data to the data integration unit;
a data integration unit: integrating and numbering the extracted required data in sequence, wherein the extracted data specifically comprises: milling cutter speed a for each region 1 、a 2 ……a n Milling cutter mass v 1 、v 2 ……v n Unit pressure b between milling cutter and workpiece 1 、b 2 ……b n Clearance c of milling cutter and workpiece 1 、c 2 ……c n Working resistance d of milling cutter 1 、d 2 ……d n Offset angle of each bearing in each regione 1 、e 2 ……e n Frequency f of vibration of each bearing 1 、f 2 ……f n Surface roughness g 1 、g 2 ……g n Real-time temperature h during operation 1 、h 2 ……h n Maximum rolling load j 1 、j 2 ……j n 。
Preferably, the data calculation module is used for calculating the abrasion degree value A of the cutter in each region according to the extracted data n Average working mass B of bearings in each region n Failure overhaul demand index X for each area of equipment n The data calculation module specifically comprises:
a tool wear degree value calculation unit: the wear degree value for calculating the cutter of the drilling, tapping and milling equipment in different time periods is as follows:
the bearing working quality calculating unit: the working mass of each bearing used for calculating each region is as follows:wherein q is 0 ＜0,q 1 ＜0，t 1 、t 0 Is constant, so the average working mass of the bearings in each region is: />
And a troubleshooting demand index calculating unit: the method is used for calculating the overhaul demand degree value of each region fault of the equipment and comparing the later data, and the overhaul demand index of each region fault is as follows:wherein gamma is an influencing factor.
Preferably, the data comparison and judgment module is configured to compare the failure overhaul requirement index of each area of the device with a preset value specified by a user, and judge whether the failure overhaul requirement index exceeds an expected value according to a comparison result, where the data comparison and judgment module specifically includes:
data comparison unit: for calculating the equipment each region trouble shooting requirement index X n With a preset value X preset by a user i Comparing and judging X n And X is i Is a size relationship of (2);
a data judging unit: by X n And X is i Comparing the magnitude relation and judging X n Whether or not to exceed expectations, when X n ＞X i When the regional trouble shooting demand index exceeds the formulated expected value, the regional trouble shooting demand index indicates that the regional trouble shooting needs to be overhauled in time, otherwise, the regional trouble shooting demand index indicates that the regional trouble shooting demand index does not have a large problem, and timely overhauling is not needed at the present stage.
Preferably, the judgment result feedback module is used for feeding back the judgment result and various data to the user side, and the user inquires the equipment data through the port, and the judgment result feedback module specifically comprises:
and a data feedback unit: transmitting the data calculation result, the data comparison result and the basic data information of each region of the device to a user terminal, and inquiring the data of each sub region of the device by a user through a port;
a data screening unit: and the system screens out the sub-region basic information that the fault overhaul requirement index of each region exceeds a preset value according to the data result judged by the data comparison judging module, and transmits the screened data and the comparison result to the voice prompt module.
Preferably, the voice prompt module is used for systematically connecting the voice prompt device, receiving the equipment failure requirement index exceeding the expectation and the corresponding equipment area information data, triggering the voice prompt device, and starting the voice prompt for the user, and the voice prompt module specifically comprises:
a data receiving unit: receiving basic data information of a corresponding subarea, which is transmitted by the judging result feedback module and exceeds a preset value, of the troubleshooting requirement index;
voice prompt unit: and triggering a voice prompt device according to the received data, and circularly broadcasting basic data and information of equipment which needs to be overhauled in time until a user triggers a switch.
The invention has the technical effects and advantages that:
the invention adopts a monitoring preparation module, a data calculation module, a data comparison judgment module and a judgment result feedback module, monitors the working state of the equipment area and acquires data by utilizing the sensors through the equipment target area, calculates the wear degree value of each subarea cutter, the average working quality of each area bearing and the fault overhaul demand index of each area through the data calculation module, compares the fault overhaul demand index of each area with a preset value through the data comparison judgment module, judges whether each area needs to be subjected to timely fault overhaul, and feeds back the judgment result and various data to a user side for viewing.
Drawings
Fig. 1 is a block diagram of a system architecture of the present invention.
Fig. 2 is a flow chart of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment provides a real-time fault diagnosis detection system for drilling, tapping and milling as shown in fig. 1, which comprises a region dividing module, a monitoring preparation module, a data acquisition module, a data calculation module, a data comparison and judgment module, a judgment result feedback module and a voice prompt module.
The regional division module is used for processing the whole drilling, tapping and milling equipmentDividing according to milling machine cutter place, dividing into n areas, each area contains m bearing devices, monitoring preparation module, laying force sensitive, inertia and vision sensor according to user at equipment key position, the sensor monitors the record to equipment operation data in t time quantum, every t time quantum monitors n group data, the database of each sensor is connected to the system, carries out real-time storage and the update of equipment data, data acquisition module is used for the system to carry out the extraction of required data to the data that the sensor monitored adopts the mode that the keyword was extracted to carry out integration and serial number to the data that draws, the data that draws specifically includes: the milling cutter rotating speed of each region, the unit pressure of the milling cutter and the workpiece, the clearance between the milling cutter and the workpiece, the working resistance of the milling cutter, the bearing deflection angle of each bearing in each region, the vibration frequency of the bearing, the surface roughness, the real-time temperature during working and the maximum rolling load, and the data calculation module is used for calculating the cutter abrasion degree value A of each subregion of the equipment according to the extracted data n Average working mass B of bearings of each subarea n The index of the fault overhaul requirement of each area of the equipment is as followsThe data comparison judging module is used for comparing the fault overhaul demand index of each area of the equipment with a preset value appointed by a user, judging whether the fault overhaul demand index exceeds an expected value according to a comparison result, the judging result feedback module is used for feeding back a judging result and various data to the user side, a user inquires equipment data through a port, when the fault overhaul demand index of each area of the equipment exceeds the expected value, the judging result feedback module transmits equipment basic data to the voice prompt module, and the voice prompt module is used for connecting the voice prompt device with the system, receiving the equipment fault demand index exceeding the expected value and corresponding equipment information data, triggering the voice prompt device and starting the voice prompt for the user, wherein the voice prompt module comprises a data receiving unit and a voice prompt unit.
The difference between the implementation and the prior art lies in that the data calculation module, the data comparison judging module and the voice prompt module are used for increasing a group of data calculation functions for calculating the fault overhaul demand index of each area, the data comparison judging module is used for judging and screening the oversized subarea of the fault problem, the voice prompt module is additionally provided with a group of voice prompt devices for reminding a user of timely carrying out the fault overhaul of the area, the user is helped to carry out equipment fault positioning and fault investigation, the fault detection time is helped to be reduced, the fault detection efficiency is improved, the labor cost is reduced, the service life of equipment is prolonged, and the process is not possessed in the prior art.
As shown in fig. 2, the embodiment provides a method flowchart of a real-time fault diagnosis and detection system for drilling, tapping and milling, which specifically includes the following steps:
101. dividing the whole drilling, tapping and milling processing equipment into n areas according to the position of a milling machine tool by using an area dividing module, wherein each area comprises m bearing devices;
what needs to be explained here is: the division of the equipment subareas is beneficial to equipment fault location, a user can conveniently and directly find the fault position, and the area division is carried out by utilizing different positions of the cutter, because the milling cutters are divided into a plurality of types, and the milling cutters of different types are arranged at different positions of the equipment, and the function effect is also different.
102. The user lays the sensor at the key part of the equipment through the monitoring preparation module, the sensor monitors and records the operation data of the equipment in t time periods, n groups of data are monitored every t time periods, the system is connected with the database of each sensor, the real-time storage and updating of the equipment data are carried out, and the specific steps of the monitoring preparation module for monitoring the working state of the equipment are as follows:
a1, arranging force-sensitive, inertial and visual sensors in all subregions of the equipment, and monitoring equipment data of a group of subregions at intervals of t by utilizing the various sensors;
a2, connecting the system to a database of the sensor equipment, receiving and backing up each group of data acquired by the sensor, and storing the data into the database of the system;
what needs to be explained here is: the force-sensitive, inertial and visual sensors monitor the working state of the equipment, can monitor the pressure, resistance, inclination angle, vibration frequency and the like of the equipment in the running process, are convenient and accurate monitoring equipment at present, and are beneficial to providing data support for the following calculation.
103. The data acquisition module is used for extracting the required data by a keyword extraction mode of the system on the data monitored by the sensor, integrating and numbering the extracted data in sequence, and the specific steps of the data acquisition module for acquiring various data of the equipment are as follows:
b1, extracting required data by the system in a keyword extraction mode on all data detected by the sensor, and transmitting the extracted data to a data integration unit;
b2, integrating and numbering the extracted required data in sequence, wherein the extracted data specifically comprises: milling cutter speed a for each region 1 、a 2 ……a n Milling cutter mass v 1 、v 2 ……v n Unit pressure b between milling cutter and workpiece 1 、b 2 ……b n Clearance c of milling cutter and workpiece 1 、c 2 ……c n Working resistance d of milling cutter 1 、d 2 ……d n Offset angle e of each bearing in each region 1 、e 2 ……e n Frequency f of vibration of each bearing 1 、f 2 ……f n Surface roughness g 1 、g 2 ……g n Real-time temperature h during operation 1 、h 2 ……h n Maximum rolling load j 1 、j 2 ……j n 。
104. The data calculation module is used for calculating the wear degree value A of the tool of the equipment according to the extracted data n Average working mass B of bearing n Failure overhaul demand index X for each area of equipment n The specific steps of the data calculation module for calculating the cutter wear degree value, the bearing working quality and the equipment fault overhaul requirement index in each area are as follows:
and C1, calculating the abrasion degree value of the drilling, tapping and milling equipment cutter in different time periods as follows:
and C2, the working mass of the computing equipment bearing is as follows:
wherein q is 0 ＜0,q 1 ＜0，t 1 、t 0 Is a constant;
and C3, calculating an overhaul demand degree value of equipment faults, wherein the overhaul demand degree value is used for carrying out later data comparison, and the overhaul demand index of each area of the equipment is as follows:wherein gamma is an influencing factor;
what needs to be explained here is:
the processing equipment is provided with a plurality of cutters of different types, the abrasion degree of the cutters also causes the equipment to be faulty, so that the calculation of the abrasion degree of the cutters in each area of the equipment is beneficial to data analysis of each subarea of the equipment, and the average working quality of the bearings in each subarea can be obtained by calculating the working quality of each bearing and then averaging the working quality of the bearings in each subarea.
105. The data comparison and judgment module is used for comparing the fault overhaul demand indexes of all areas of the equipment with preset values appointed by a user, judging whether the fault overhaul demand indexes exceed expectations or not according to comparison results, and the data comparison and judgment module comprises the following specific steps of:
d1, the calculated equipment area fault overhaul requirement index X n With a preset value X preset by a user i Comparing and judging X n And X is i Is a size relationship of (2);
d2, using X n And X is i Comparing the magnitude relation and judging X n Whether or not to exceed expectations, when X n ＞X i When the regional trouble shooting requirement index exceeds a formulated expected value, the regional trouble shooting requirement index indicates that the regional trouble shooting requirement is timely overhauled, otherwise, the regional trouble shooting requirement index indicates that the regional trouble shooting requirement is not great, and timely overhauling is not needed at the present stage;
what needs to be explained here is:
the preset value is selected and set by a user, when the regional trouble shooting demand index exceeds the user preset value, the regional trouble shooting demand index indicates that the regional has larger equipment trouble, the overhaul demand is higher, timely overhaul is needed, the system is helped to timely check out the problem part, and the equipment trouble risk is reduced.
106. The judging result feedback module is used for feeding back the judging result and various data to the user side, the user inquires the equipment data through the port, and the specific steps of the judging result feedback of the data are as follows:
e1, transmitting a data calculation result, a data comparison result and basic data information of each region of the equipment to a user side, and inquiring the data of each sub-region of the equipment through a port by the user;
e2, screening out sub-region basic information of which the fault overhaul requirement index exceeds a preset value according to the data result judged by the data comparison judging module, and transmitting the screened data and the comparison result to the voice prompt module;
what needs to be explained here is:
the basic data of the subareas are screened out, so that the user is reminded of which subarea fails, the user is helped to conduct equipment failure investigation timely, the overhaul time is shortened, the overhaul efficiency is improved, the labor cost is reduced, and the service life of equipment is prolonged.
107. The voice prompt module is used for connecting the voice prompt device with the system, receiving the equipment fault demand index exceeding the expectation and the corresponding equipment area information data, triggering the voice prompt device and starting the voice prompt for the user, and specifically comprises:
f1, receiving basic data information of a corresponding subarea, which is transmitted by a judging result feedback module and has a fault overhaul demand index exceeding a preset value;
f2, triggering a voice prompt device according to the received data, and circularly broadcasting basic data and information of equipment to be overhauled in time until a user triggers a switch;
what needs to be explained here is:
the voice prompt is added to prevent the failure in timely troubleshooting and maintenance caused by the missing data of the user, when the user triggers the switch, the system receiving instruction indicates that the user knows that the equipment has a failure in the area, so that the user overhaul difficulty is reduced, and the overhaul efficiency is improved.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (8)
1. A real-time fault diagnosis detecting system for drilling, tapping and milling is characterized in that: comprising the following steps:
region dividing module: the whole drilling, tapping and milling processing equipment is divided into n areas according to the position of a milling machine tool, and each area comprises m bearing devices;
the monitoring preparation module: the method comprises the steps that a user lays force-sensitive, inertia and visual sensors in each subarea of the equipment, the sensors monitor and record operation data of each area of the equipment, a group of data is monitored every t time periods, a system is connected with a database of each sensor, real-time storage and updating of the equipment data are carried out, and the module comprises a sensor laying unit and an equipment connecting unit;
and a data acquisition module: the system is used for extracting the required data by adopting a keyword extraction mode for the data monitored by the sensor, integrating and numbering the extracted data in sequence, wherein the extracted data specifically comprises the following steps: the milling cutter rotating speed of each region, the unit pressure of the milling cutter and a workpiece, the clearance between the milling cutter and the workpiece, the working resistance of the milling cutter, the deflection angle of each bearing of each region, the vibration frequency of each bearing, the surface roughness, the real-time temperature during working and the maximum rolling load, wherein the module comprises a data extraction unit and a data integration unit;
and a data calculation module: a is used for calculating the abrasion degree value A of the cutter in each area of the equipment according to the extracted data n Each zone containing the average working mass B of the bearing n The index of the fault overhaul requirement of each area is as followsThe module comprises a cutter wear degree value calculating unit, a bearing working quality calculating unit and a fault overhaul demand index calculating unit of each area of equipment;
and the data comparison judging module is used for: the module is used for comparing the fault overhaul requirement indexes of the areas with preset values appointed by users, judging whether the fault overhaul requirement indexes of the areas exceed expectations or not according to comparison, and comprises a data comparison unit and a data judgment unit;
and a judgment result feedback module: the system is used for feeding back the judging result and various data to the user terminal, a user inquires equipment data through a port, and when the regional fault overhaul demand index exceeds an expected value, the judging result feedback module transmits the basic data of the subarea to the voice prompt module, and the module comprises a user terminal feedback unit and a data screening unit;
the voice prompt module: the system is used for connecting the voice prompt device, receiving the information data of the equipment fault requirement index exceeding the expectation and the corresponding area, triggering the voice prompt device and starting the voice prompt for the user, and the module comprises a data receiving unit and a voice prompt unit.
2. The real-time fault diagnosis and detection system for drilling, tapping and milling according to claim 1, wherein: the region dividing module is used for dividing the whole drilling, tapping and milling processing equipment into n regions according to the position of a milling machine tool, and each region comprises m bearing devices.
3. The real-time fault diagnosis and detection system for drilling, tapping and milling according to claim 1, wherein: the monitoring preparation module utilizes a user to arrange force-sensitive, inertia and visual sensors in each subarea of the equipment, the sensors monitor and record operation data of each area of the equipment, a group of data is monitored every t time periods, the system is connected with a database of each sensor, and the real-time storage and updating of the equipment data are carried out, and the monitoring preparation module specifically comprises:
a sensor layout unit: arranging force-sensitive, inertial and visual sensors in all subareas of the equipment, and monitoring a group of subarea equipment data at intervals of t time by utilizing the various sensors;
a device connection unit: and connecting the system to a database of the sensor equipment, receiving and backing up each group of data acquired by the sensor, and storing the data into the database of the system.
4. The real-time fault diagnosis and detection system for drilling, tapping and milling according to claim 1, wherein: the data acquisition module is used for extracting required data by a system in a keyword extraction mode for data monitored by the sensor, integrating and numbering the extracted data in sequence, and specifically comprises:
a data extraction unit: the system extracts all data detected by the sensor in a keyword extraction mode, and transmits the extracted data to the data integration unit;
a data integration unit: integrating and numbering the extracted required data in sequence, wherein the extracted data specifically comprises: milling cutter speed a for each region 1 、a 2 ……a n Milling cutter mass v 1 、v 2 ……v n Unit pressure b between milling cutter and workpiece 1 、b 2 ……b n Clearance c of milling cutter and workpiece 1 、c 2 ……c n Working resistance d of milling cutter 1 、d 2 ……d n Offset angle e of each bearing in each region 1 、e 2 ……e n Frequency f of vibration of each bearing 1 、f 2 ……f n Surface roughness g 1 、g 2 ……g n Real-time temperature h during operation 1 、h 2 ……h n Maximum rolling load j 1 、j 2 ……j n 。
5. The real-time fault diagnosis and detection system for drilling, tapping and milling according to claim 1, wherein: the data calculation module is used for calculating the abrasion degree value A of the cutter in each region according to the extracted data n Average working mass B of bearings in each region n Failure overhaul demand index X for each area of equipment n The data calculation module specifically comprises:
a tool wear degree value calculation unit: the wear degree value for calculating the cutter of the drilling, tapping and milling equipment in different time periods is as follows:
the bearing working quality calculating unit: the working mass of each bearing used for calculating each region is as follows:wherein q is 0 ＜0,q 1 ＜0，t 1 、t 0 Is constant, so the average working mass of the bearings in each region is: />
And a troubleshooting demand index calculating unit: the method is used for calculating the overhaul demand degree value of each region fault of the equipment and comparing the later data, and the overhaul demand index of each region fault is as follows:wherein gamma is an influencing factor.
6. The real-time fault diagnosis and detection system for drilling, tapping and milling according to claim 1, wherein: the data comparison and judgment module is used for comparing the fault overhaul demand indexes of all areas of the equipment with preset values appointed by a user and judging whether the fault overhaul demand indexes exceed expectations or not according to comparison results, and the data comparison and judgment module specifically comprises:
data comparison unit: for calculating the equipment each region trouble shooting requirement index X n With a preset value X preset by a user i Comparing and judging X n And X is i Is a size relationship of (2);
a data judging unit: by X n And X is i Comparing the magnitude relation and judging X n Whether or not to exceed expectations, when X n ＞X i When the regional trouble shooting demand index exceeds the formulated expected value, the regional trouble shooting demand index indicates that the regional trouble shooting needs to be overhauled in time, otherwise, the regional trouble shooting demand index indicates that the regional trouble shooting demand index does not have a large problem, and timely overhauling is not needed at the present stage.
7. The real-time fault diagnosis and detection system for drilling, tapping and milling according to claim 1, wherein: the judging result feedback module is used for feeding back the judging result and various data to the user side, the user inquires the equipment data through the port, and the judging result feedback module specifically comprises:
and a data feedback unit: transmitting the data calculation result, the data comparison result and the basic data information of each region of the device to a user terminal, and inquiring the data of each sub region of the device by a user through a port;
a data screening unit: and the system screens out the sub-region basic information that the fault overhaul requirement index of each region exceeds a preset value according to the data result judged by the data comparison judging module, and transmits the screened data and the comparison result to the voice prompt module.
8. The real-time fault diagnosis and detection system for drilling, tapping and milling according to claim 1, wherein: the voice prompt module is used for systematically connecting the voice prompt device, receiving the equipment failure requirement index exceeding the expectation and the corresponding equipment area information data, triggering the voice prompt device and starting the voice prompt for the user, and specifically comprises:
a data receiving unit: receiving basic data information of a corresponding subarea, which is transmitted by the judging result feedback module and exceeds a preset value, of the troubleshooting requirement index;
voice prompt unit: and triggering a voice prompt device according to the received data, and circularly broadcasting basic data and information of equipment which needs to be overhauled in time until a user triggers a switch.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310653432.1A CN117066968A (en) | 2023-06-05 | 2023-06-05 | Real-time fault diagnosis detecting system for drilling, tapping and milling |
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| CN202310653432.1A CN117066968A (en) | 2023-06-05 | 2023-06-05 | Real-time fault diagnosis detecting system for drilling, tapping and milling |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118429888A (en) * | 2024-04-28 | 2024-08-02 | 中新聚能建设工程有限公司 | Cutter detection method and device and shield equipment control method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118429888A (en) * | 2024-04-28 | 2024-08-02 | 中新聚能建设工程有限公司 | Cutter detection method and device and shield equipment control method |
| CN118429888B (en) * | 2024-04-28 | 2024-10-22 | 中新聚能建设工程有限公司 | Cutter detection method and device and shield equipment control method |
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