CN113804421A - Railway turnout switch machine fault prediction system and method - Google Patents
Railway turnout switch machine fault prediction system and method Download PDFInfo
- Publication number
- CN113804421A CN113804421A CN202011115699.8A CN202011115699A CN113804421A CN 113804421 A CN113804421 A CN 113804421A CN 202011115699 A CN202011115699 A CN 202011115699A CN 113804421 A CN113804421 A CN 113804421A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- monitoring system
- switch machine
- power
- oil pressure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 202
- 230000007246 mechanism Effects 0.000 claims abstract description 72
- 230000005540 biological transmission Effects 0.000 claims abstract description 11
- 238000005461 lubrication Methods 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims description 8
- 230000008054 signal transmission Effects 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 238000004804 winding Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 5
- 238000005096 rolling process Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003137 locomotive effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L11/00—Measuring steady or quasi-steady pressure of a fluid or a fluent solid material by means not provided for in group G01L7/00 or G01L9/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a railway turnout switch machine fault prediction system and a method, which relate to the technical field of switch machine fault prediction, and comprise a monitoring background, a prediction device, an electric power monitoring system, a power mechanism monitoring system, an actuating mechanism monitoring system and an oil pressure monitoring system; the power monitoring system consists of a voltage monitor and a current monitor; the power mechanism monitoring system consists of motor rotating speed monitoring, transmission efficiency monitoring and circuit monitoring; the actuating mechanism monitoring system comprises lubrication degree monitoring and friction force monitoring; the oil pressure monitoring system consists of an oil pressure sensor, and the monitoring background comprises monitoring equipment and background monitoring personnel. In the invention, the fault state of the equipment is estimated by adopting a scientific data monitoring mode, the traditional manual experience prediction method is changed, a certain data theoretical support is provided for the fault prediction of the railway turnout switch machine, certain popularization is realized, and the working efficiency is greatly improved.
Description
Technical Field
The invention relates to the technical field of switch machine fault prediction, in particular to a railway switch machine fault prediction system and a method.
Background
The turnout is a line connecting device for switching a locomotive from one track to another track, is one of weak links of a track, is usually laid in a large number in a station and a marshalling station, has the turnout, can give full play to the passing capacity of the track, even if a single-track railway is laid with the turnout, a section of fork line which is longer than the length of the train can be constructed for the train to be run in opposite directions, the geometrical size of the turnout mainly comprises a curved switch point long length, a straight switch point long length, a front end long length of a stock rail, a rear end long length of the stock rail, a switch point curve radius, a switch point tip angle, a switch point angle and a switch point heel span, and the size of the frog mainly comprises a toe distance, a heel distance and a frog full length, and in addition, the front length of the turnout, the rear length, the turnout theoretical full length, the actual full length of the turnout, the straight line length inserted behind the guide curve or the guide curve radius and the like. The switch is a large family, the most common is a common single switch, it is made up of three units of switch, joint part, frog and guard rail, the switch includes stock rail, switch blade and switching machine, when the rolling stock will be turned from A stock track to B stock track, operate the switching machine to make the switch blade move the position, the switch blade 1 is close to the stock rail 1, the switch blade 2 breaks away from the stock rail 2, open B stock track like this, has closed A stock track, the rolling stock enters the joint part and passes to the frog and guard rail unit along the guide curved rail.
The point switch is an important device for controlling the switch change, so the point switch needs to be checked and maintained regularly to ensure the normal operation of the point switch, most of the prediction modes of the point switch faults rely on the personal experience of detection workers, and after the point switch is detected on site for many times, the residual life cycles of all parts in the point switch can be deduced so as to check and maintain the point switch in the next inspection.
Disclosure of Invention
The invention provides a railway turnout switch machine fault prediction system and method, aiming at overcoming the defects of poor fire resistance, low use efficiency and the like in the prior art. The system and the method for predicting the fault of the railway turnout switch machine provide certain data theoretical support for the fault prediction of the railway turnout switch machine, and have certain popularization.
In order to achieve the purpose, the invention provides the following technical scheme: the railway turnout switch machine fault prediction system comprises a monitoring background, a prediction device, an electric power monitoring system, a power mechanism monitoring system, an actuating mechanism monitoring system and an oil pressure monitoring system;
the power monitoring system consists of a voltage monitor and a current monitor;
the power mechanism monitoring system consists of motor rotating speed monitoring, transmission efficiency monitoring and circuit monitoring;
the actuating mechanism monitoring system comprises lubrication degree monitoring and friction force monitoring;
the oil pressure monitoring system consists of an oil pressure sensor.
Preferably, the monitoring background comprises monitoring equipment and background monitoring personnel.
Preferably, the prediction device is an integration of the power monitoring system, the power mechanism monitoring system, the actuator monitoring system and the oil pressure monitoring system, and a data collection chip corresponding to the power monitoring system, the power mechanism monitoring system, the actuator monitoring system and the oil pressure monitoring system is arranged in the prediction device.
A method of operating a railway switch machine failure prediction system comprising the steps of:
s1: firstly, a cover of a railway turnout switch machine is disassembled, then a prediction device is installed inside the railway turnout switch machine, and detection ends of an electric power monitoring system, a power mechanism monitoring system, an execution mechanism monitoring system and an oil pressure monitoring system are respectively installed on a control circuit, a power mechanism, an execution mechanism and an oil cylinder of the railway turnout switch machine;
s2: the power monitoring system can detect the voltage and the current of the railway turnout switch machine circuit in real time through a voltage monitor and a current monitor in the power monitoring system, and transmits the voltage and current data of each work to a prediction device, the data is wirelessly transmitted to a monitoring background by the prediction device, and the rated current Ie of the railway turnout switch machine internal circuit is equal to the capacity S/1.732 multiplied by U;
s3: the monitoring system of the power mechanism respectively carries out automatic real-time monitoring on the rotating speed, the transmission efficiency and the current magnitude of the driving motor through motor rotating speed monitoring, transmission efficiency monitoring and circuit monitoring, and transmits various data of the railway turnout switch machine during each working to the prediction device, the data Is wirelessly transmitted to the monitoring background by the prediction device, the rotating speed calculation formula of the driving motor Is n ═ Us/Ce [ ] - [ (Is-Ir) × Rs/Ce [ ], (wherein n Is the rotating speed of the motor, Us Is the external direct current voltage of the motor, Ce [ ]isthe motor constant, Is the total current supplied to the motor, Ir Is the motor and the exciting current, and Rs Is the direct current resistance of the armature winding of the motor);
s4: the executing mechanism monitoring system can monitor the lubrication degree and the friction force of executing parts in real time through the lubrication degree monitoring sensor and the friction force monitoring sensor, and transmit various data of the railway turnout switch machine during each working to the predicting device, and the data are wirelessly transmitted to the monitoring background by the predicting device;
s5: the oil pressure monitoring system can monitor the oil cylinder pressure of the railway turnout switch machine in real time through the oil pressure sensor, and transmits data to the monitoring background through the prediction device, so that a background monitoring person can monitor the oil cylinder pressure of the railway turnout switch machine in real time.
Preferably, the prediction device is internally provided with a wireless signal transmission module, and various data monitored by the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system can be transmitted to the monitoring background through the wireless signal transmission module.
Preferably, the detection ends of the power monitoring system, the power mechanism monitoring system, the actuator monitoring system and the oil pressure monitoring system in S1 are respectively installed on the control circuit, the power mechanism, the actuator and the oil cylinder of the railway switch machine through connecting wires.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, by designing the electric power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system, all mechanisms of the railway turnout switch machine can be monitored in all directions, and by monitoring all data in real time, the fault state of the corresponding mechanism can be predicted under the condition that the monitored value is unstable, so that background monitoring personnel can be reminded to carry out key monitoring on the mechanism, and meanwhile, corresponding maintenance personnel can be informed to overhaul the equipment in time;
2. in the invention, the fault state of the equipment is estimated by adopting a scientific data monitoring mode, the traditional manual experience prediction method is changed, a certain data theoretical support is provided for the fault prediction of the railway turnout switch machine, and the method has certain popularization, greatly improves the working efficiency and is worth popularizing.
Drawings
FIG. 1 is a block diagram of the railway switch machine failure prediction system of the present invention;
FIG. 2 is a block diagram of the power monitoring system of the present invention;
FIG. 3 is a schematic diagram of a monitoring system for a power mechanism according to the present invention;
FIG. 4 is a block diagram of the actuator monitoring system of the present invention;
FIG. 5 is a block diagram of an oil pressure monitoring system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
referring to fig. 1-5, the present invention provides a technical solution: the railway turnout switch machine fault prediction system comprises a monitoring background, a prediction device, an electric power monitoring system, a power mechanism monitoring system, an actuating mechanism monitoring system and an oil pressure monitoring system;
the power monitoring system consists of a voltage monitor and a current monitor;
the power mechanism monitoring system consists of motor rotating speed monitoring, transmission efficiency monitoring and circuit monitoring;
the actuating mechanism monitoring system comprises lubrication degree monitoring and friction force monitoring;
the oil pressure monitoring system consists of an oil pressure sensor, and the oil pressure sensor can detect the oil cylinder pressure of the railway turnout switch machine intuitively and quickly.
The monitoring background comprises monitoring equipment and background monitoring personnel, and the background monitoring personnel can monitor the actual running condition of the railway turnout switch machine in real time through the monitoring equipment.
The prediction device is an integration of the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system, and a data collection chip corresponding to the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system is arranged in the prediction device.
A method of operating a railway switch machine failure prediction system comprising the steps of:
s1: firstly, a cover of a railway turnout switch machine is disassembled, then a prediction device is installed inside the railway turnout switch machine, and detection ends of an electric power monitoring system, a power mechanism monitoring system, an execution mechanism monitoring system and an oil pressure monitoring system are respectively installed on a control circuit, a power mechanism, an execution mechanism and an oil cylinder of the railway turnout switch machine;
s2: the power monitoring system can detect the voltage and the current of the railway turnout switch machine circuit in real time through a voltage monitor and a current monitor in the power monitoring system, and transmits the voltage and current data of each work to a prediction device, the data is wirelessly transmitted to a monitoring background by the prediction device, and the rated current Ie of the railway turnout switch machine internal circuit is equal to the capacity S/1.732 multiplied by U;
before detecting the voltage and current of the railway turnout switch machine circuit, the rated current of the circuit on the equipment specification can be checked, or the corresponding numerical value is brought into for calculation according to the rated current calculation formula Ie being capacity S/1.732 XU, the rated current under the theoretical working state is summarized, then the voltage and current of the railway turnout switch machine circuit are detected in real time by the internal voltage monitor and current monitor, the actual operation condition of the equipment circuit can be judged by comparing the rated current numerical value, and the fault problem which possibly occurs to the equipment circuit is judged according to the actual operation condition;
s3: the monitoring system of the power mechanism respectively carries out automatic real-time monitoring on the rotating speed, the transmission efficiency and the current magnitude of the driving motor through motor rotating speed monitoring, transmission efficiency monitoring and circuit monitoring, and transmits various data of the railway turnout switch machine during each working to the prediction device, the data Is wirelessly transmitted to the monitoring background by the prediction device, the rotating speed calculation formula of the driving motor Is n ═ Us/Ce [ ] - [ (Is-Ir) × Rs/Ce [ ], (wherein n Is the rotating speed of the motor, Us Is the external direct current voltage of the motor, Ce [ ]isthe motor constant, Is the total current supplied to the motor, Ir Is the motor and the exciting current, and Rs Is the direct current resistance of the armature winding of the motor);
the theoretical rotating speed of the driving motor can be calculated by being substituted into a rotating speed calculation formula n ═ Us/Ce phi ] - [ (Is-Ir) × Rs/Ce phi ] according to various theoretical numerical values of the driving motor, then the rotating speed of the driving motor in actual work Is compared, and the running state of the driving motor and possible faults of the driving motor are judged according to the rotating speed;
s4: the executing mechanism monitoring system can monitor the lubrication degree and the friction force of executing parts in real time through the lubrication degree monitoring sensor and the friction force monitoring sensor, and transmit various data of the railway turnout switch machine during each working to the predicting device, and the data are wirelessly transmitted to the monitoring background by the predicting device;
s5: the oil pressure monitoring system can monitor the oil cylinder pressure of the railway turnout switch machine in real time through the oil pressure sensor, and transmits data to the monitoring background through the prediction device, so that a background monitoring person can monitor the oil cylinder pressure of the railway turnout switch machine in real time.
The wireless signal transmission module is installed in the prediction device, and various data monitored by the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system can be transmitted to the monitoring background through the wireless signal transmission module.
The detection ends of the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system in the S1 are respectively installed on the control circuit, the power mechanism, the actuating mechanism and the oil cylinder of the railway switch machine through connecting wires, and the detection ends of the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system are installed on the control circuit, the power mechanism, the actuating mechanism and the oil cylinder of the railway switch machine through the connecting wires, so that the connection function can be achieved, and meanwhile, the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system can carry out data transmission.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. Railway switch machine failure prediction system, its characterized in that: the system comprises a monitoring background, a prediction device, an electric power monitoring system, a power mechanism monitoring system, an actuating mechanism monitoring system and an oil pressure monitoring system;
the power monitoring system consists of a voltage monitor and a current monitor;
the power mechanism monitoring system consists of motor rotating speed monitoring, transmission efficiency monitoring and circuit monitoring;
the actuating mechanism monitoring system comprises lubrication degree monitoring and friction force monitoring;
the oil pressure monitoring system consists of an oil pressure sensor.
2. The system and method for predicting the failure of a railroad switch machine according to claim 1, wherein: the monitoring background comprises monitoring equipment and background monitoring personnel.
3. The system and method for predicting the failure of a railroad switch machine according to claim 1, wherein: the prediction device is an integration of the power monitoring system, the power mechanism monitoring system, the executing mechanism monitoring system and the oil pressure monitoring system, and a data collection chip corresponding to the power monitoring system, the power mechanism monitoring system, the executing mechanism monitoring system and the oil pressure monitoring system is arranged in the prediction device.
4. The method of operating a railway switch machine failure prediction system of claim 1, comprising the steps of:
s1: firstly, a cover of a railway turnout switch machine is disassembled, then a prediction device is installed inside the railway turnout switch machine, and detection ends of an electric power monitoring system, a power mechanism monitoring system, an execution mechanism monitoring system and an oil pressure monitoring system are respectively installed on a control circuit, a power mechanism, an execution mechanism and an oil cylinder of the railway turnout switch machine;
s2: the power monitoring system can detect the voltage and the current of the railway turnout switch machine circuit in real time through a voltage monitor and a current monitor in the power monitoring system, and transmits the voltage and current data of each work to a prediction device, the data is wirelessly transmitted to a monitoring background by the prediction device, and the rated current Ie of the railway turnout switch machine internal circuit is equal to the capacity S/1.732 multiplied by U;
s3: the monitoring system of the power mechanism respectively carries out automatic real-time monitoring on the rotating speed, the transmission efficiency and the current magnitude of the driving motor through motor rotating speed monitoring, transmission efficiency monitoring and circuit monitoring, and transmits various data of the railway turnout switch machine during each working to the prediction device, the data Is wirelessly transmitted to the monitoring background by the prediction device, the rotating speed calculation formula of the driving motor Is n ═ Us/Ce [ ] - [ (Is-Ir) × Rs/Ce [ ], (wherein n Is the rotating speed of the motor, Us Is the external direct current voltage of the motor, Ce [ ]isthe motor constant, Is the total current supplied to the motor, Ir Is the motor and the exciting current, and Rs Is the direct current resistance of the armature winding of the motor);
s4: the executing mechanism monitoring system can monitor the lubrication degree and the friction force of executing parts in real time through the lubrication degree monitoring sensor and the friction force monitoring sensor, and transmit various data of the railway turnout switch machine during each working to the predicting device, and the data are wirelessly transmitted to the monitoring background by the predicting device;
s5: the oil pressure monitoring system can monitor the oil cylinder pressure of the railway turnout switch machine in real time through the oil pressure sensor, and transmits data to the monitoring background through the prediction device, so that a background monitoring person can monitor the oil cylinder pressure of the railway turnout switch machine in real time.
5. The system and method for predicting the failure of a railroad switch machine according to claim 1, wherein: the wireless signal transmission module is installed in the prediction device, and various data monitored by the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system can be transmitted to the monitoring background through the wireless signal transmission module.
6. The system and method for predicting the failure of a railroad switch machine according to claim 1, wherein: and the detection ends of the power monitoring system, the power mechanism monitoring system, the actuating mechanism monitoring system and the oil pressure monitoring system in the S1 are respectively installed on a control circuit, the power mechanism, the actuating mechanism and the oil cylinder of the railway turnout switch machine through connecting wires.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011115699.8A CN113804421A (en) | 2020-10-19 | 2020-10-19 | Railway turnout switch machine fault prediction system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011115699.8A CN113804421A (en) | 2020-10-19 | 2020-10-19 | Railway turnout switch machine fault prediction system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113804421A true CN113804421A (en) | 2021-12-17 |
Family
ID=78943572
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011115699.8A Pending CN113804421A (en) | 2020-10-19 | 2020-10-19 | Railway turnout switch machine fault prediction system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113804421A (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101893667A (en) * | 2010-05-26 | 2010-11-24 | 广州市地下铁道总公司 | Fault detection system of AC turnout switch machine and method thereof |
| CN102156262A (en) * | 2011-03-24 | 2011-08-17 | 西南交通大学 | On-line monitoring system and method of railway switch machine motor |
| CN203532534U (en) * | 2013-07-22 | 2014-04-09 | 慈溪市由由轴承有限公司 | Intelligent lubrication bearing |
| CN204630612U (en) * | 2015-05-21 | 2015-09-09 | 中国铁路通信信号上海工程局集团有限公司 | Railway switch machine information collecting device |
| CN104932485A (en) * | 2015-05-29 | 2015-09-23 | 中国铁路通信信号上海工程局集团有限公司 | Railway track switch point machine fault prediction system and method |
| US20160025206A1 (en) * | 2014-07-24 | 2016-01-28 | Bell Helicopter Textron Inc. | Aircraft gaseous cooling system |
| CN105492818A (en) * | 2013-08-07 | 2016-04-13 | 林肯工业公司 | Lubrication system and controller |
| CN206945059U (en) * | 2017-07-13 | 2018-01-30 | 上海邦诚电信技术股份有限公司 | Electric casement goat composite monitoring device |
| CN207315564U (en) * | 2017-07-06 | 2018-05-04 | 厦门瓦特融动力科技有限公司 | A kind of diesel generating set from assistant starting |
| CN109211567A (en) * | 2018-10-16 | 2019-01-15 | 东莞理工学院 | A kind of Mechanical Manufacture System full-automatic bearing detection machine |
| CN109708696A (en) * | 2018-12-28 | 2019-05-03 | 宁波思高信通科技有限公司 | A kind of goat thrust monitoring system |
| CN210072406U (en) * | 2019-05-27 | 2020-02-14 | 北京全路通信信号研究设计院集团有限公司 | Acquisition device suitable for intelligent diagnosis of turnout conversion equipment |
| CN111290295A (en) * | 2020-03-09 | 2020-06-16 | 西南交通大学 | Decision support system for wheel-rail interface lubrication and friction control |
-
2020
- 2020-10-19 CN CN202011115699.8A patent/CN113804421A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101893667A (en) * | 2010-05-26 | 2010-11-24 | 广州市地下铁道总公司 | Fault detection system of AC turnout switch machine and method thereof |
| CN102156262A (en) * | 2011-03-24 | 2011-08-17 | 西南交通大学 | On-line monitoring system and method of railway switch machine motor |
| CN203532534U (en) * | 2013-07-22 | 2014-04-09 | 慈溪市由由轴承有限公司 | Intelligent lubrication bearing |
| CN105492818A (en) * | 2013-08-07 | 2016-04-13 | 林肯工业公司 | Lubrication system and controller |
| US20160025206A1 (en) * | 2014-07-24 | 2016-01-28 | Bell Helicopter Textron Inc. | Aircraft gaseous cooling system |
| CN204630612U (en) * | 2015-05-21 | 2015-09-09 | 中国铁路通信信号上海工程局集团有限公司 | Railway switch machine information collecting device |
| CN104932485A (en) * | 2015-05-29 | 2015-09-23 | 中国铁路通信信号上海工程局集团有限公司 | Railway track switch point machine fault prediction system and method |
| CN207315564U (en) * | 2017-07-06 | 2018-05-04 | 厦门瓦特融动力科技有限公司 | A kind of diesel generating set from assistant starting |
| CN206945059U (en) * | 2017-07-13 | 2018-01-30 | 上海邦诚电信技术股份有限公司 | Electric casement goat composite monitoring device |
| CN109211567A (en) * | 2018-10-16 | 2019-01-15 | 东莞理工学院 | A kind of Mechanical Manufacture System full-automatic bearing detection machine |
| CN109708696A (en) * | 2018-12-28 | 2019-05-03 | 宁波思高信通科技有限公司 | A kind of goat thrust monitoring system |
| CN210072406U (en) * | 2019-05-27 | 2020-02-14 | 北京全路通信信号研究设计院集团有限公司 | Acquisition device suitable for intelligent diagnosis of turnout conversion equipment |
| CN111290295A (en) * | 2020-03-09 | 2020-06-16 | 西南交通大学 | Decision support system for wheel-rail interface lubrication and friction control |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6770965B2 (en) | Decentralized protection system for section feeding of electric rail tow networks | |
| CN101439725B (en) | Control and monitoring system for railway switch location | |
| AU2017355153B2 (en) | Method and device for diagnosing railway switches | |
| CN102874356B (en) | Two-wheel self-balance vehicle control system and two-wheel self-balance vehicle | |
| CN101428635B (en) | Electronic apparatus and method for controlling three phase current point switch | |
| CN111645720B (en) | Intelligent switch machine capable of being autonomously controlled by train | |
| CN205997898U (en) | A kind of railway switch detects dolly | |
| CN111645721A (en) | Switch machine point rail position monitoring system with redundant configuration and switch machine | |
| CN102830302A (en) | Monitoring system and method of current collector | |
| CN211995617U (en) | Urban rail vehicle safety on-line detection system | |
| CN212828418U (en) | Switch control system | |
| CN113804421A (en) | Railway turnout switch machine fault prediction system and method | |
| CN105565100A (en) | Elevator safety real-time monitoring control system and control method thereof | |
| JP2008091393A (en) | On-load tap changer | |
| CN113155504A (en) | Intelligent testing system for point switch for rail transit | |
| CN112356882B (en) | Train position determination auxiliary device and operation method thereof | |
| CN212921524U (en) | Point switch position indicating device and intelligent point switch | |
| CN113641138A (en) | Point switch fault early warning system | |
| CN212921522U (en) | Switch machine supporting communication with train and realizing autonomous control of train | |
| CN212921523U (en) | Intelligent switch machine with train communication function | |
| CN202785362U (en) | Wear monitoring and alarming device for current collector sliding block of crane | |
| TWI651231B (en) | A turnout monitoring system and its method | |
| CN112697461A (en) | Bridge inspection vehicle performance evaluation and early warning system and method | |
| CN112878189A (en) | Bridge inspection vehicle performance monitoring management system and method | |
| CN104408786A (en) | Inspection equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |