CN113237683A - Online detection and fault diagnosis system of anchoring positioning system - Google Patents
Online detection and fault diagnosis system of anchoring positioning system Download PDFInfo
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- CN113237683A CN113237683A CN202110494661.4A CN202110494661A CN113237683A CN 113237683 A CN113237683 A CN 113237683A CN 202110494661 A CN202110494661 A CN 202110494661A CN 113237683 A CN113237683 A CN 113237683A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 64
- 238000001514 detection method Methods 0.000 title claims abstract description 24
- 238000004873 anchoring Methods 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 41
- 230000005540 biological transmission Effects 0.000 claims abstract description 18
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 238000009413 insulation Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000005070 sampling Methods 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 6
- 239000007788 liquid Substances 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000005299 abrasion Methods 0.000 claims description 3
- 239000000498 cooling water Substances 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 239000010720 hydraulic oil Substances 0.000 claims description 3
- 239000003921 oil Substances 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 208000024891 symptom Diseases 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 abstract 1
- 238000012423 maintenance Methods 0.000 description 10
- 238000002405 diagnostic procedure Methods 0.000 description 3
- 238000004451 qualitative analysis Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 201000004569 Blindness Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000004171 remote diagnosis Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/008—Subject matter not provided for in other groups of this subclass by doing functionality tests
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention relates to the technical field of anchoring positioning, and particularly discloses an online detection and fault diagnosis system of an anchoring positioning system, which comprises a sensor unit, a data acquisition unit, a fault diagnosis unit and an information transmission unit, wherein the sensor unit acquires data, and the data acquisition unit acquires information input by the sensor unit and transmits the information to the fault diagnosis unit; the fault diagnosis unit diagnoses according to the information transmitted by the data acquisition unit and outputs the result by the information transmission unit; the fault diagnosis unit adopts a data diagnosis method, a state judgment method and a logic diagnosis method. The on-line detection and fault diagnosis system of the invention utilizes sensor technology and signal processing technology to remotely monitor, collect and analyze parameters such as input and output signals, environmental temperature and the like of the positioning anchor machine and make corresponding judgment on the parameters exceeding the normal operation range, thereby greatly improving the stability, safety, reliability and fault predictability of the anchoring positioning system.
Description
Technical Field
The invention belongs to the technical field of anchoring positioning, and particularly relates to an online detection and fault diagnosis system of an anchoring positioning system.
Background
In the marine environment, the anchoring and positioning control system is influenced by factors such as salt spray, temperature, vibration and the like, and the performance of the anchoring and positioning control system is gradually aged, so that faults are caused. The mooring control system is a key part of the mooring anchor, and once a fault occurs, the control system can be failed, so that the mooring can be seriously deviated in position, and even the safety can be endangered. According to statistical analysis, the fault characteristics of the current anchoring and positioning system mainly show the following aspects: the function is abnormal, the operating current of the anchor machine is abnormal, the temperature is abnormal, the sound is abnormal, the odor is abnormal, and the display data of the touch screen instrument is abnormal; anchor faults are generally classified into abrasive faults, managed faults, design and process faults.
At present, most ships and platforms still execute traditional equipment maintenance and maintenance plans, regular maintenance and regular inspection are carried out on an anchor machine system, the mode has great blindness and passivity, whether the anchor machine equipment has faults or not, fault types, fault positions and fault degrees are difficult to accurately grasp, passive maintenance is mostly carried out after the faults occur, in order to check the faults, unnecessary repeated disassembly is frequently carried out on anchor machine parts, mechanical performance is influenced, fault advanced sensing and over-term maintenance cannot be achieved, and huge waste of manpower and material resources is brought.
Disclosure of Invention
The invention aims to provide an on-line detection and fault diagnosis system of an anchoring positioning system, which improves the stability, safety, reliability and fault predictability of the anchoring positioning system.
In order to solve the technical problem, the invention provides an on-line detection and fault diagnosis system of an anchoring positioning system, which comprises a sensor unit, a data acquisition unit, a fault diagnosis unit and an information transmission unit,
the sensor unit comprises a current transmitter, a temperature sensor, an insulation sensor, an encoder, a pressure sensor, a proximity switch and a liquid level sensor, wherein the current transmitter is used for acquiring a current signal input into the motor of the anchor machine; the temperature sensor is used for acquiring and inputting signals of motor temperature rise, bearing temperature rise, gearbox temperature rise, hydraulic oil temperature and cooling water temperature and signals of environment temperature; the insulation sensor is used for acquiring and inputting insulation performance information of the motor of the anchor machine; the encoder is used for acquiring and inputting the traction speed and the rope retracting length data of the anchor machine; the pressure sensor is used for acquiring dynamic and static load data input into the anchor machine; the proximity switch is used for acquiring input windlass brake state, clutch state, brake belt abrasion degree and safety interlocking signals; the liquid level sensor is used for collecting oil level data information input into the anchor machine pump station;
the data acquisition unit acquires information input by the sensor unit and transmits the information to the fault diagnosis unit; the fault diagnosis unit diagnoses according to the information transmitted by the data acquisition unit and outputs the result by the information transmission unit; the fault diagnosis unit comprises an anchor machine database, various standard data of the anchor machine are arranged in the anchor machine database, and the fault diagnosis module carries out fault diagnosis by adopting a data diagnosis method, a state judgment method and a logic diagnosis method.
Further, the data diagnosis method comprises a standard data comparison method and a statistical data analysis method,
the standard data comparison method is used for comparing the value acquired by the sensor unit with a standard value set by the fault diagnosis unit in real time, and when the acquired value deviates from the standard data value, the control system sends a fault signal;
the statistical data analysis method is characterized in that data collection is carried out through the sensor unit according to preset data sampling frequency and sampling period, a change curve is obtained through analysis, the change curve is compared with a standard curve, and performance states of all parts of the anchor machine are judged by judging the deviation degree of the change curve and the standard curve, so that the occurrence of faults is judged in advance.
Furthermore, the state judgment method adopts the mode that a state detection sensor is arranged at a key part of the anchor machine, and when the fault diagnosis unit monitors the action of the state detection sensor, fault information is sent out.
Further, the condition monitoring sensors include a fastener release monitoring proximity switch, a brake pad wear limit monitoring proximity switch, a brake manually operated interlock proximity switch, and a pawl interlock proximity switch mounted at the fastener.
Further, the logic diagnosis method adopts a Boolean logic diagnosis method, analyzes the cause and cause relationship between the anchor machine fault occurrence cause and fault symptoms, and forms an expression or fault tree of fault diagnosis logic through program setting so as to provide fault diagnosis, qualitative analysis and quantitative statistics and determine reasonable and abnormal logic states.
Preferably, the information transmission unit transmits the fault information to a touch display screen, an upper computer interface or a remote cloud platform of the anchor machine centralized control room in a remote transmission mode.
The invention has the beneficial effects that: the invention relates to an on-line detection and fault diagnosis system which processes data of a data acquisition unit through mathematical algorithms such as data diagnosis, state judgment, logic diagnosis and the like by a fault diagnosis unit, displays the data on a local touch screen, an upper computer interface and a remote cloud platform, analyzes and processes the data and information by combining with a set threshold value, completes remote diagnosis, remote control and remote maintenance, realizes the predictive maintenance of anchor equipment by means of modern technology, reduces the heavy work of anchor operation and maintenance personnel, solves the problem that the equipment maintenance personnel cannot carry out field test and real-time test by adopting a remote transmission mode, and avoids huge economic loss or personnel casualty caused by the fact that the operation and maintenance personnel cannot find accidents in time.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
In one embodiment of the invention, the invention particularly discloses an online detection and fault diagnosis system of a mooring positioning system, which comprises a sensor unit, a data acquisition unit, a fault diagnosis unit and an information transmission unit.
The sensor unit collects parameters such as current, speed, temperature, pressure, position and the like of state data of the anchor machine, the sensor unit comprises a current transmitter, a temperature sensor, an insulation sensor, an encoder, a pressure sensor, a proximity switch and a liquid level sensor, and the current transmitter is used for collecting current signals input into a motor of the anchor machine; the temperature sensor is used for acquiring and inputting signals of motor temperature rise, bearing temperature rise, gearbox temperature rise, hydraulic oil temperature and cooling water temperature and signals of environment temperature; the insulation sensor is used for acquiring and inputting insulation performance information of the motor of the anchor machine; the encoder is used for acquiring and inputting the traction speed and the rope retracting length data of the anchor machine; the pressure sensor is used for acquiring dynamic and static load data input into the anchor machine; the proximity switch is used for acquiring input windlass brake state, clutch state, brake belt abrasion degree and safety interlocking signals; the liquid level sensor is used for collecting oil level data information input into the anchor machine pump station.
The data acquisition unit acquires information input by the sensor unit and transmits the information to the fault diagnosis unit, and the fault diagnosis unit diagnoses according to the information transmitted by the data acquisition unit and outputs the result by the information transmission unit.
The fault diagnosis unit comprises an anchor machine database, various standard data of the anchor machine are arranged in the anchor machine database, and the fault diagnosis module carries out fault diagnosis by adopting a data diagnosis method, a state judgment method and a logic diagnosis method.
The data diagnosis method comprises a standard data comparison method and a statistical data analysis method, wherein the standard data comparison method is used for comparing values (such as anchor machine sampling current, motor temperature and gearbox temperature) acquired by the sensor unit with standard values (such as anchor machine current, motor limit temperature rise and gearbox limit temperature rise) set by the fault diagnosis unit in real time, and when the acquired values deviate from the standard data values, the control system sends fault signals;
the statistical data analysis method is characterized in that data collection is carried out on current, speed, torque, motor temperature rise, gearbox temperature rise, pump station system pressure and the like of the anchor machine through the sensor unit according to preset data sampling frequency and sampling period, a change curve is obtained through analysis, the change curve is compared with a standard curve in a database, the performance state of each component of the anchor machine is judged through judging the deviation degree of the change curve and the standard curve, the occurrence of faults is judged in advance, the integrity degree and the skill of operators of key components of the anchor machine are comprehensively judged through abnormal event occurrence probability and trend analysis, and the potential faults which can occur are predicted.
The state detection sensor is arranged at a key part of the anchor machine, and comprises a fastener loosening monitoring proximity switch, a brake pad wear limit monitoring proximity switch, a brake manual operation interlocking proximity switch, a pawl interlocking proximity switch and the like which are arranged at the fastener. When the fault diagnosis unit monitors the action of the state detection sensor, fault information is sent out, for example, the A base fixing bolt monitors the action of the proximity switch, and the system can start warning information of 'loosening of the A base fixing bolt'.
The logic diagnosis method adopts a Boolean logic diagnosis method to analyze the cause of the fault of the anchor machine and the cause-effect relationship between fault symptoms, adopts 0 and 1 in a program to represent, and forms an expression or fault tree of fault diagnosis logic to provide the purposes of fault diagnosis, qualitative analysis and quantitative statistical operation.
The three diagnostic methods, i.e., the data diagnostic method, the state judgment method and the logic diagnostic method, generally exist in a fault diagnosis system, and are reasonably selected according to the type of the collected controlled object signal, such as the signal type collected by the controlled object: switching value signal: 0 or 1, typically a proximity switch, a photoelectric switch, a microswitch, or the like, indicating a position, a displacement, a state, or the like; analog quantity signal: 0-20mA, 0-10V, 4-20mA, typically a current signal, a voltage signal, a pressure signal, a temperature signal, etc. The logical diagnosis method is based on the correct logic of the controlled object, and analyzes the abnormal logical characteristics of the controlled object by logical reasoning methods such as a difference method, a covariant method, a residual method and the like, and judges that the control system does not want to have an abnormal event (fault event).
For example, the working state of the clutch is two states of separation or engagement, and the clutch is controlled by a clutch switch and is detected and confirmed by a position detection sensor. The logic states in normal are: when the clutch switch is in the engaging gear (the condition logic state is 1), the clutch is closed (the result logic state is 1), the engaging position detection signal A is 1 (the feedback logic state is 1), and the disengaging position detection signal B is 0 (the feedback logic state is 0).
Abnormal logic state 1: when the clutch switch is placed in the engaging gear (the condition logic state is 1), the clutch is closed (the result logic state is 1), the engaging position detection signal A is 0 (the feedback logic state is 0), the disengaging position detection signal B is 0 (the feedback logic state is 0), and the abnormal event (the fault event) is judged: failure of the clutch driving system, improper meshing or failure of the position detection sensor 1;
abnormal logic state 2: when the clutch switch is placed in the engaging gear (the condition logic state is 0), the clutch is closed (the result logic state is 0), the engaging position detection signal a is 0 (the feedback logic state is 0), the disengaging position detection signal B is 0 (the feedback logic state is 0), and the clutch is judged to be an abnormal event (fault event): a clutch position detection sensor A or B failure; different fault events can be judged according to different abnormal logic states of the clutch.
The information transmission unit transmits fault information to a touch display screen, an upper computer interface or a remote cloud platform of an anchor machine centralized control room in a remote transmission mode, and the information transmission mode mainly comprises Profinet, Profibus-DP, MODBUS-RTU, CAN bus transmission and the like. The information remote transmission mainly adopts various internet access modes such as 3G, 4G, WIFI and the like through a HINET data gateway, can adapt to various network application environments, and provides a safe communication link available everywhere. And a high-speed data channel is provided for online monitoring and fault diagnosis of the anchoring positioning system.
The above disclosure is only one preferred embodiment of the present invention, and certainly should not be construed as limiting the scope of the invention, which is defined by the claims and their equivalents.
Claims (6)
1. An on-line detection and fault diagnosis system of an anchoring positioning system is characterized by comprising a sensor unit, a data acquisition unit, a fault diagnosis unit and an information transmission unit,
the sensor unit comprises a current transmitter, a temperature sensor, an insulation sensor, an encoder, a pressure sensor, a proximity switch and a liquid level sensor, wherein the current transmitter is used for acquiring a current signal input into the motor of the anchor machine; the temperature sensor is used for acquiring and inputting signals of motor temperature rise, bearing temperature rise, gearbox temperature rise, hydraulic oil temperature and cooling water temperature and signals of environment temperature; the insulation sensor is used for acquiring and inputting insulation performance information of the motor of the anchor machine; the encoder is used for acquiring and inputting the traction speed and the rope retracting length data of the anchor machine; the pressure sensor is used for acquiring dynamic and static load data input into the anchor machine; the proximity switch is used for acquiring input windlass brake state, clutch state, brake belt abrasion degree and safety interlocking signals; the liquid level sensor is used for collecting oil level data information input into the anchor machine pump station;
the data acquisition unit acquires information input by the sensor unit and transmits the information to the fault diagnosis unit; the fault diagnosis unit diagnoses according to the information transmitted by the data acquisition unit and outputs the result by the information transmission unit; the fault diagnosis unit comprises an anchor machine database, various standard data of the anchor machine are arranged in the anchor machine database, and the fault diagnosis module carries out fault diagnosis by adopting a data diagnosis method, a state judgment method and a logic diagnosis method.
2. The system of claim 1, wherein the data diagnostics includes standard data comparison and statistical data analysis,
the standard data comparison method is used for comparing the value acquired by the sensor unit with a standard value set by the fault diagnosis unit in real time, and when the acquired value deviates from the standard data value, the control system sends a fault signal;
the statistical data analysis method is characterized in that data collection is carried out through the sensor unit according to preset data sampling frequency and sampling period, a change curve is obtained through analysis, the change curve is compared with a standard curve, and performance states of all parts of the anchor machine are judged by judging the deviation degree of the change curve and the standard curve, so that the occurrence of faults is judged in advance.
3. The system of claim 1, wherein the status determining method comprises disposing a status detecting sensor at a key location of the anchor machine, and sending a fault message when the fault diagnosing unit detects the status detecting sensor.
4. An on-line detection and fault diagnosis system for a mooring locating system as defined in claim 3, wherein the condition monitoring sensors include a fastener release monitoring proximity switch, a brake pad wear limit monitoring proximity switch, a brake manual operation interlock proximity switch and a pawl interlock proximity switch mounted at the fastener.
5. The system of claim 1, wherein the logic diagnosis method is a Boolean logic diagnosis method, and analyzes cause-effect relationship between the cause of the anchor machine failure and failure symptoms to determine reasonable and abnormal logic states.
6. The system of claim 1, wherein the information transmission unit transmits the fault information to a touch display screen, an upper computer interface or a remote cloud platform of the anchor machine centralized control room by remote transmission.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110494661.4A CN113237683A (en) | 2021-05-07 | 2021-05-07 | Online detection and fault diagnosis system of anchoring positioning system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110494661.4A CN113237683A (en) | 2021-05-07 | 2021-05-07 | Online detection and fault diagnosis system of anchoring positioning system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7284496B1 (en) * | 2004-12-31 | 2007-10-23 | Douceur John R | Fail-safe remotely controlled chain stopper with position indicator |
| CN102176132A (en) * | 2011-02-24 | 2011-09-07 | 浙江海洋学院 | Ship mooring remote control device and method |
| CN102880128A (en) * | 2012-09-14 | 2013-01-16 | 常熟市华新电器设备厂 | Anchor machine frequency conversion control system equipment applied to offshore engineering |
| CN111559463A (en) * | 2020-05-25 | 2020-08-21 | 智慧航海（青岛）科技有限公司 | Control method and system for intelligent ship anchor equipment |
-
2021
- 2021-05-07 CN CN202110494661.4A patent/CN113237683A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7284496B1 (en) * | 2004-12-31 | 2007-10-23 | Douceur John R | Fail-safe remotely controlled chain stopper with position indicator |
| CN102176132A (en) * | 2011-02-24 | 2011-09-07 | 浙江海洋学院 | Ship mooring remote control device and method |
| CN102880128A (en) * | 2012-09-14 | 2013-01-16 | 常熟市华新电器设备厂 | Anchor machine frequency conversion control system equipment applied to offshore engineering |
| CN111559463A (en) * | 2020-05-25 | 2020-08-21 | 智慧航海（青岛）科技有限公司 | Control method and system for intelligent ship anchor equipment |
Non-Patent Citations (1)
| Title |
|---|
| 上海振华重工（集团）股份有限公司: "自升式风电安装船技术与应用", 31 July 1991, 上海科学技术出版社, pages: 129 - 131 * |
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