CN114590535B - Chain equipment monitoring system - Google Patents
Chain equipment monitoring system Download PDFInfo
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- CN114590535B CN114590535B CN202210290936.7A CN202210290936A CN114590535B CN 114590535 B CN114590535 B CN 114590535B CN 202210290936 A CN202210290936 A CN 202210290936A CN 114590535 B CN114590535 B CN 114590535B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 38
- 238000005259 measurement Methods 0.000 claims description 65
- 230000008859 change Effects 0.000 claims description 8
- 230000000149 penetrating effect Effects 0.000 claims description 7
- 230000007704 transition Effects 0.000 description 17
- 238000012937 correction Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 9
- 238000012423 maintenance Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 6
- 238000005299 abrasion Methods 0.000 description 5
- 238000013480 data collection Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 238000010801 machine learning Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 229910000831 Steel Inorganic materials 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000015654 memory Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000010959 steel Substances 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 230000006403 short-term memory Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G17/00—Conveyors having an endless traction element, e.g. a chain, transmitting movement to a continuous or substantially-continuous load-carrying surface or to a series of individual load-carriers; Endless-chain conveyors in which the chains form the load-carrying surface
- B65G17/30—Details; Auxiliary devices
- B65G17/38—Chains or like traction elements; Connections between traction elements and load-carriers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/02—Control devices, e.g. for safety, warning or fault-correcting detecting dangerous physical condition of load carriers, e.g. for interrupting the drive in the event of overheating
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/14—Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/02—Control or detection
- B65G2203/0266—Control or detection relating to the load carrier(s)
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
- B65G2203/042—Sensors
- B65G2203/044—Optical
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Control Of Conveyors (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Devices For Conveying Motion By Means Of Endless Flexible Members (AREA)
Abstract
The invention aims to obtain a chain equipment monitoring system, which can effectively monitor chain equipment arranged at a plurality of points. The information of the chain devices provided at a plurality of sites can be collected to the server device, and it is possible to determine whether or not the links of the endless chain should be replaced on the server device side and predict the replacement timing of the links on the server device side. The chain equipment monitoring system of the present invention comprises: a plurality of chain devices including an endless chain formed by connecting a plurality of links and a driving device thereof; an equipment information acquisition unit provided for each of the chain equipments; and a server device connected to the plurality of device information acquisition units via a network, the server device including a storage unit, a replacement determination unit, and a replacement determination prediction unit.
Description
The application is a divisional application with the application name of a chain equipment monitoring system, and the application date is 2019, 06, 25, and the application number is 201910554126.6.
Technical Field
The present invention relates to a monitoring system for monitoring a chain device including an endless chain formed by connecting a plurality of links and a driving device thereof.
Background
In a factory manufacturing line or the like, chain equipment including an endless chain formed by connecting a plurality of links and a driving device thereof is widely used.
In such a chain device, the endless chain mounted on the drive sprocket, the steering wheel, and the like circulates, and the endless chain is repeatedly bent in a state where tension is applied, so that the endless chain gradually wears.
When the abrasion of the endless chain progresses, the operation of the chain equipment is hindered or the endless chain breaks and stops, so that it is necessary to monitor the abrasion state of the endless chain.
Conventionally, in many cases, equipment manufacturers have incorporated measuring devices into chain equipment periodically to measure elongation of the endless chain due to wear, and it takes time to prepare and schedule the measurement, which is inefficient.
On the other hand, there is a technique of monitoring the worn state of an endless chain by automatically measuring elongation of the endless chain due to wear (for example, refer to patent documents 1 and 2).
In patent document 1, light LH is emitted from a light source 5 toward an endless chain C, an optical reader V that receives the light LH reads the mutual interval between links, and a computer 4 processes a data signal output from the optical reader V to calculate the length of a gap (link gap) between 2 center links.
Then, the computer 4 determines that the link is a "dangerous link" when the length of the link gap is longer than the dangerous length, determines that the link is a "notice link" when the length of the link gap is shorter than the dangerous length and longer than the notice length, determines that the link is a "safety link" when the length of the link gap is shorter than the notice length, and outputs and displays these link numbers on the display 7, the printer 9, and the like.
In the method of the second invention of patent document 2, the distance to the upper surface of the endless chain 2 is continuously measured by one noncontact laser displacement meter 3, and the CPU11 as the calculation means calculates the abrasion elongation between the link chains based on the measurement time of the noncontact laser displacement meter 3 and the moving speed of the endless chain 2.
Then, the CPU11 issues an alarm, for example, when the calculated actual wear elongation exceeds a predetermined threshold value.
The monitoring of the elongation of the endless chain due to wear, which is performed by automatic measurement, as in patent documents 1 and 2, is currently performed independently in each chain device.
On the other hand, there is a technique of grasping the states of mechanical equipment and industrial equipment provided in a plurality of locations and performing maintenance or the like (for example, refer to patent documents 3 and 4).
The machine management system a of patent document 3 includes a comprehensive management center 1, plant points 21, 22, …, a user PC3, and the like.
The management system a transmits the operation information of the compressors provided at each of the plant sites 21, 22, … at the time to the integrated management center 1 via the network N1, and stores the operation information in association with the identification information of the compressor in the operation information storage unit 104 of the integrated management center 1, and the information processing unit 109 of the integrated management center 1 analyzes the operation tendency of the compressor in a predetermined period based on the operation information read from the operation information storage unit 104.
For example, the information processing apparatus 109 determines whether or not the ratio of the no-load operation is equal to or greater than a predetermined value as the operation tendency of the compressor in a predetermined period, determines a set value for making the ratio of the no-load operation smaller than the predetermined value based on the analysis of the operation information when the ratio of the no-load operation is equal to or greater than the predetermined value, and transmits the set value to the computer PC3 of the user corresponding to the compressor via the network N2. The user who receives the set value changes the set value of the compressor to an appropriate value, thereby improving the operation efficiency of the compressor.
The maintenance support system 1 of patent document 4 is configured to connect a data collection module 10 and a component lifetime management server 20, which are provided in association with a device 30 such as an industrial furnace or an industrial boiler, via a network N.
The data collection module 10 has: the generating unit 12 generates data indicating the use condition of the component used in the device 30, using the control data C obtained from the device 30; and a transmitting unit 13 that transmits the data generated by the generating unit 12 to the network N.
The component lifetime management server 20 has: a database 22 storing thresholds defining whether replacement or inspection of components used in the device 30 is required; and a determination unit 23 that compares the data from the data collection module 10 transmitted via the network N with the threshold value stored in the database 22, and determines whether or not maintenance of the device 30 is necessary.
The data collection module 10 generates data indicating the use condition of the components used in the device 30 and transmits the data to the network N, and the component lifetime management server 20 compares the data transmitted via the network N with a threshold value defining whether replacement or inspection of the components is necessary, and determines whether maintenance of the device 30 is necessary, so that the maintenance support system 1 can be realized at low cost and support can be performed so that maintenance of various devices can be appropriately performed.
Patent document 1: japanese laid-open patent publication No. Hei 01-014722
Patent document 2: japanese patent laid-open No. 11-325829
Patent document 3: japanese patent No. 5887217
Patent document 4: japanese patent No. 6123361
In the conventional method of measuring elongation of the endless chain due to wear and monitoring the wear state, since the determination is performed independently by using the measurement results performed independently in each chain device, a lot of time is required for comparison with the past measurement data and comparison verification with other chain devices.
Accordingly, the inventors of the present application consider the following case: instead of monitoring the wear state of the endless chain in the chain devices provided at a plurality of points independently in each chain device, the chain devices provided at a plurality of points are connected via a network as in patent documents 3 and 4, and the wear state of the endless chain is effectively monitored.
Disclosure of Invention
The invention aims to obtain a chain equipment monitoring system which can effectively monitor chain equipment arranged at a plurality of points.
The inventors of the present application have completed the present invention in consideration of the following circumstances: the information of the chain devices provided at a plurality of sites can be collected to the server device, and it is possible to determine whether or not the links of the endless chain should be replaced on the server device side and predict the replacement timing of the links on the server device side.
The gist of the present invention is as follows.
[1] A chain equipment monitoring system is provided with:
a plurality of chain devices including an endless chain formed by connecting a plurality of links and a driving device thereof;
an equipment information acquisition unit provided for each of the chain equipments; and
a server device connected to the plurality of device information acquisition units via a network,
the apparatus information acquisition unit acquires from the chain apparatus:
equipment operation information including information on operation conditions for operating the chain equipment respectively;
link-specific information, which is information specific to the link; and
link state information is information indicating the state of all the links in the endless chain during a period unique to each of the chain devices, i.e., a chain cycle period, and/or a period longer than the chain cycle period, i.e., a predetermined measurement period, in one cycle of the endless chain,
the server device comprises a storage unit, a replacement determination unit and a replacement determination prediction unit,
the storage unit stores the equipment operation information of each of the chain equipment, the link-inherent information of each of the links, and the link state information during each of the chain cycles and/or during the prescribed measurement,
The replacement determination unit determines whether the link should be replaced or not based on the link-unique information and the link-state information stored in the storage unit,
the replacement determination prediction means predicts, for each of the chain devices, a time period at which the replacement determination means can determine that the link should be replaced, in accordance with a future operating condition, which is an operating condition expected to be applied next, based on the device operating information, the link unique information, and the link state information stored in the storage unit.
[2] The chain equipment monitoring system according to the item [1], wherein,
the storage unit stores:
the link lifetime period is a period from initial use in the chain device of the link determined to be replaced by the replacement determination unit to the time when the replacement determination unit determines to be replaced; and
link passing information relating to said equipment operation information of the chain equipment including the link during the lifetime of the link and said link status information during each of said chain cycles and/or during said prescribed measurements of the link,
the replacement determination prediction unit is that,
Determining a correction value corresponding to the operating condition based on the link lifetime and the link passing information stored in the storage unit,
based on correction value information, which is information on the correction value corresponding to the future operation condition, the link unique information and the link state information stored in the storage unit, a timing at which it is determined that the link corresponding to the future operation condition should be replaced in each of the chain devices is predicted.
[3] The chain equipment monitoring system according to the item [2], wherein,
the replacement determination prediction unit is that,
when the link lifetime and the link passing information are newly stored in the storage unit,
and re-determining the correction value corresponding to the operating condition based on the newly stored link lifetime and link passing information and the link lifetime and link passing information stored so far.
[4] The chain equipment monitoring system according to any one of the above [1] to [3], wherein,
the equipment operation information also includes information on an environment in which each of the chain equipment is operated, that is, an operation environment.
[5] The chain equipment monitoring system according to any one of the above [1] to [3], wherein,
the equipment operation information includes, as operation conditions, a length of the endless chain, an operation time of the chain equipment for one day, and a weight of the transported object.
[6] The chain equipment monitoring system according to any one of the above [1] to [3], wherein,
the endless chain includes:
a center link formed of an elliptical ring-shaped member or a rod-shaped member having pin holes penetrating in the vertical direction at the front and rear end portions;
the upper and lower pair of side links are formed by plate-shaped members having pin holes penetrating in the vertical direction at the front and rear end portions; and
a connecting pin connecting the center link and the upper and lower pair of side links,
the link state information is information related to a distance between a leading end portion of the preceding center link and a leading end portion of the center link that is continuous therewith.
[7] The chain equipment monitoring system according to any one of the above [1] to [3], wherein,
the server device further includes a differential information calculating unit that calculates link state differential information that is information indicating a difference between the link state information acquired during the chain cycle period and/or the predetermined measurement period and the link state information acquired during the chain cycle period and/or the predetermined measurement period,
The replacement determination unit determines whether the link should be replaced based on the link-inherent information and the link-state differential information,
the storage unit further stores the link state differential information for each link during each chain cycle and/or each predetermined measurement period,
the replacement determination prediction means predicts, for each of the chain devices, a time period at which the replacement determination means can determine that the link should be replaced, in accordance with a future operation condition, which is an operation condition expected to be applied in the future, by replacing the link state information with the link state difference information.
[8] The chain equipment monitoring system according to item [7], wherein,
the link state information contains information concerning the spacing of the links, namely link spacing information,
the link state difference information is information of a difference in intervals of the links measured during each of the chain cycles and/or the predetermined measurement period of each of the links.
[9] The chain equipment monitoring system according to item [7], wherein,
the chain device further includes an automatic oil supply unit that supplies oil to the endless chain when a rate of change of the link state difference information calculated during each of the chain cycles and/or the predetermined measurement period is equal to or greater than a predetermined value.
[10] The chain equipment monitoring system according to the item [8], wherein,
the chain device further includes an automatic oil supply unit that supplies oil to the endless chain when a rate of change of the link state difference information calculated during each of the chain cycles and/or the predetermined measurement period is equal to or greater than a predetermined value.
ADVANTAGEOUS EFFECTS OF INVENTION
The chain equipment monitoring system according to the present invention mainly has the following effects.
(1) In a plurality of chain devices including an endless chain formed by connecting a plurality of links and a driving device thereof, device operation information, link unique information, and link state information are acquired from the plurality of chain devices by a device information acquisition means provided for each chain device, and these pieces of information are collected in a server device.
(2) A replacement determination unit of the server device determines whether or not the link should be replaced based on the link-unique information and the link-state information.
(3) A replacement determination prediction means of the server device predicts, based on the device operation information, the link unique information, and the link state information, a timing at which the replacement determination means determines that the link should be replaced, in accordance with future operation conditions, which are operation conditions expected to be applied in the future, in each of the plurality of chain devices.
(4) By collecting the measurement results of the plurality of device information acquisition units in the server apparatus, it is possible to analyze not only a specific endless chain but also the measurement results of the endless chains at a plurality of positions in combination, and thus it is possible to predict with high accuracy.
(5) By transmitting the determination result of the replacement determination means and the prediction result of the replacement determination prediction means to the user device, the result can be used on the user device side, and therefore monitoring of a plurality of chain devices can be performed very efficiently.
Drawings
Fig. 1 is a schematic diagram showing a network of a chain device monitoring system according to an embodiment of the present invention.
Fig. 2 is a block diagram showing a system outline of the chain equipment monitoring system.
Fig. 3 is a schematic diagram mainly showing the flow of signals and data.
Fig. 4 is a graph showing the link lengths of the link numbers of the endless chain measured by the equipment information acquisition means, i.e., the chain wear measuring device.
Fig. 5 is a flowchart showing an operation of the control unit of the device information acquisition unit.
Fig. 6 shows an example of a transition map and a prediction map, (a) shows a prediction map in the case of continuous use under the current use condition, and (b) shows a prediction map matching the future use condition.
Fig. 7 is a flowchart showing the operation of the control unit of the server apparatus.
Fig. 8 is a flowchart showing the operation of the replacement determination prediction of the control unit.
Fig. 9 is a schematic plan view showing an example of arrangement of a chain wear measuring device as a device information acquisition means in a chain device.
Fig. 10 is an exploded perspective view of the endless chain.
Fig. 11 is a perspective view of the chain wear measuring device.
Fig. 12 is a partial longitudinal sectional view of the chain wear measuring device.
Fig. 13 is a front perspective view showing a sensor of the chain wear measuring device.
Fig. 14 is a front view of the chain wear measuring device.
Description of symbols
1. Chain equipment monitoring system
2. Chain device
3. Server device
3A transceiver
3B control part
3C memory cell
4. User device
4A transceiver
4B control part
4C display unit
5. Device information acquisition unit
5A transceiver
5B control part
5C memory cell
6. Magnetic yoke
7. Guide rail
8. Touch wheel
9. Running roller
10. Endless chain
11. Central chain link
11A pin hole
12. Side chain link
12A pin hole
13. Connecting pin
14. Driving device
15. Driving sprocket
16. Steering wheel
17. Steering roller
18. Tensioner
19. Reflecting plate
20. Chain wear measuring device
21. Reflection type photoelectric sensor (measurement starting position detecting unit)
22. Transmission type photoelectric sensor (reference position detecting unit)
22A light projector
22B light receiver
23. Laser CCD length measuring sensor (distance measuring unit)
23A light projector
23B light receiver
24. Support member
25. Sensor controller
C circulation path
D0 Reference length
D distance from measurement reference position to subsequent measurement reference position
L1, L2, L3 light
N network
P1 first prescribed position
P2 second prescribed position
RP determination reference position
W measurement width
Detailed Description
Embodiments of the present invention will be described below with reference to the drawings.
In the following embodiments, the traveling direction of the endless chain is defined as front, the opposite direction is defined as rear, the left and right are defined toward the front, and the view from the left is defined as front.
< chain Equipment monitoring System >)
As shown in a schematic diagram showing a network in fig. 1, a block diagram showing a system outline in fig. 2, and a schematic diagram showing flows of main signals and data in fig. 3, the chain equipment monitoring system 1 according to the embodiment of the present invention includes: the server apparatus 3 is connected to the plurality of chain devices 2, …, namely, the first chain device, the second chain device, … … nth chain device via the network N; and a user device 4 connected to the network N.
The chain device 2 includes an endless chain 10 formed by connecting a plurality of links and a driving device thereof, and the device information acquisition unit 5 is provided for each chain device 2.
The network N is WAN (Wide Area Network), for example, which is connected to the same manner as the internet, and the device information acquiring unit 5, the server apparatus 3, and the user apparatus 4 are independently connected to the network N.
The user device 4 may be located in each of the chain apparatuses 2, may be located near the server device 3, or may be located in another place such as a management center.
The server device 3 includes a transmitting/receiving unit 3A, a control unit 3B, and a storage unit 3C, the user device 4 includes a transmitting/receiving unit 4A, a control unit 4B, and a storage unit 4C, and the device information acquisition unit 5 includes a transmitting/receiving unit 5A, a control unit 5B, and a storage unit 5C, and transmits/receives signals and data as shown in fig. 3.
The device information acquisition unit 5 does not analyze the acquired data, and transmits the acquired data to the server device 3.
The server apparatus 3 acquires data collected in the plurality of chain devices 2, … from the device information acquisition means 5, … using an existing cloud service, for example. In this way, the information of the plurality of chain devices 2, … is collected in the server apparatus 3, the data is analyzed, and it is determined on the server apparatus 3 side whether the links of the endless chain 10 should be replaced or not, and the replacement timing of the links is predicted.
The server device 3 also performs data processing (graphic processing, etc.) for displaying the user device 4, and transmits the result to the user device 4 in accordance with an arbitrary request from the user device 4.
When the server device 3 determines that the link of the endless chain 10 should be replaced by data analysis, it transmits a "link replacement instruction" to the user device 4.
The user device 4 displays data collected by the server device 3, a graph generated by the server device 3, and the like.
When receiving the "link replacement instruction" from the server device 3, the user device 4 displays the link number or the like of the endless chain 10 to be replaced.
Device information acquisition Unit
The equipment information acquisition unit 5 acquires, from the chain equipment 2, equipment operation information including information on operation conditions for operating the respective chain equipment 2, and link-specific information that is information specific to links of the endless chain 10.
Here, the operating conditions are, for example, the operating time of one day of the chain device 2, the weight of the conveyed article, the number of curved portions in the circulation path of the endless chain 10, the radius of curvature, the conveying speed, and the like, and the link-specific information is the model number of the links, the initial link length of each link number, and the like.
In a preferred embodiment, the apparatus operation information further includes information on the operating environment, i.e., the temperature, humidity, etc., in which each of the chain apparatuses 2 is operated.
The equipment information acquisition unit 5 acquires link state information indicating the states of all the links in the endless chain 10 from the chain equipment 2 during a period unique to each of the chain equipment 2, that is, a chain cycle period, and/or a predetermined measurement period that is longer than the chain cycle period, which is one cycle of the endless chain 10.
Here, the chain circulation period is a time period for which the endless chain 10 circulates around the circulation path, and the predetermined measurement period may be a period longer than the time period for which the endless chain 10 circulates around the circulation path, that is, the chain circulation period, and may be, for example, a unit of 1 hour, 1 day, 1 week, or the like, or a predetermined number of times for which the endless chain 10 circulates around the circulation path.
The link state information is information related to the state of the link such as the link length (for example, the distance from the measurement reference position of the center link to the measurement reference position of the subsequent center link).
(example of measurement data of device information acquisition means)
Fig. 4 is an example of a graph showing the link length of each link number of the endless chain 10 measured by a chain wear measuring device, which will be described later, as the equipment information acquiring means 5.
By periodically measuring the length of each link of the endless chain 10, it is possible to determine links that are particularly severely worn and detect links that break suddenly.
(operation of control section of device information acquisition means)
The description will be made with reference to the flowchart of fig. 5.
Here, a case will be described in which the device information acquisition unit 5 acquires link state information for each predetermined measurement period.
The control unit 5B of the equipment information acquisition unit 5 first determines the operation state of the chain equipment 2 (S11), and if it is not in operation, ends the process.
The control unit 5B determines that the link state information of all links is being acquired if the chain device 2 is in operation and the flag F is 1, and then determines whether the link state information of all links is acquired (S12 to S13).
The control unit 5B returns to S11 if link state information of all links is not acquired.
When the link state information of all the links is acquired, the control unit 5B transmits the link state information of all the links together with the equipment operation information and the link unique information from the transmitting/receiving unit 5A to the server device 3 (S14), and returns the flag F to 0 to the standby state (S15).
If the chain device 2 is in operation and the flag F is 0, the control unit 5B is in a standby state, and then determines the time elapsed state (S16). That is, the control unit 5B determines the passage of the predetermined measurement period T (for example, 1 day, 1 week, etc.) by the timer T unique to each of the chain devices 2 (S16).
When the control unit 5B determines that the predetermined measurement period T has elapsed, it starts acquiring link state information, device operation information, and link unique information for each link number from the chain device 2 (S17), resets the timer T, starts counting time (S18), releases the standby state, sets the flag F to 1, and returns to S11 when the link state information is acquired (S19).
In addition, when the device information acquisition means 5 acquires link state information for each of the chain cycles, the control unit 5B may not perform management of the standby state based on the flag F (S12, S15, S19) or management of the time lapse based on the timer t (S16, S18), but may determine whether link state information of all links is acquired (S13), and thereby transmit the link state information of all links together with the device operation information and the link unique information from the transmitting/receiving unit 5A to the server device 3 (S14), and start acquisition of the link state information, the device operation information, and the link unique information for each link number from the chain device 2 (S17).
< Server device >
The device operation information of each chain device 2, the link unique information of each link number of the endless chain 10, and the link state information of each chain cycle period and/or each predetermined measurement period, which are received by the transmitting/receiving unit 3A of the server apparatus 3 from the transmitting/receiving unit 5A of the device information acquiring unit 5, are stored in the storage unit 3C of the server apparatus 3.
The control unit 3B of the server device 3 includes replacement determination means and replacement determination prediction means.
The replacement determination unit determines whether a link should be replaced or not based on the link-unique information and the link state information stored in the storage unit 3C.
The replacement determination prediction means predicts a timing at which the replacement determination means is likely to determine that a link should be replaced according to a future operation condition, which is an operation condition expected to be applied in the future, in each of the chain devices 2, based on the device operation information, the link unique information, and the link state information stored in the storage means 3C.
The storage unit 3C of the server apparatus 3 preferably stores: the link lifetime period is a period from when the link determined to be replaced by the replacement determination means is used in the chain device 2 to when the link determined to be replaced by the replacement determination means is used initially; and link passing information relating to the device operation information of the chain device 2 including the link during the lifetime of the link, and the link state information during each of the chain cycles and/or each of the prescribed measurement periods of the link.
In a preferred embodiment, the replacement determination prediction means determines a correction value according to the operation condition based on the link lifetime period and the link passing information stored in the storage means 3C, and predicts a time period when it is determined that the link according to the future operation condition should be replaced in each of the chain devices 2 based on correction value information, which is information related to the correction value according to the future operation condition, and the link unique information and the link state information stored in the storage means 3C.
In a more preferred embodiment, when the link lifetime and the link passage information are newly stored in the storage unit 3C, the replacement determination prediction unit newly determines the correction value according to the operating condition based on the newly stored link lifetime and link passage information and the link lifetime and link passage information stored so far.
In a more preferred embodiment, the server device 3 further includes a differential information calculating unit that calculates link state differential information that is information indicating a difference between the link state information acquired during the chain cycle period and/or the predetermined measurement period and the link state information acquired during the chain cycle period and/or the predetermined measurement period.
In this case, the replacement determination means determines whether or not the link should be replaced based on the link-specific information and the link-state differential information, and the storage means 3C stores the link-state differential information for each link during each chain cycle and/or each predetermined measurement period, and the replacement determination prediction means replaces the link-state information with the link-state differential information and predicts a time period in which the replacement determination means may determine that the link should be replaced according to a future operation condition, i.e., a future operation condition, expected to be applied in each of the chain devices 2.
In a further preferred embodiment, the link state information includes link interval information which is information on intervals of the links, and the link state difference information is information on a difference between intervals of the links measured during each of the chain cycles and/or each of the predetermined measurement periods.
(example of transition map and prediction map generated by server device)
Fig. 6 (a) shows an example of a transition map of the wear amount of the endless chain 10 in the chain device 2 and a prediction map in the case of continued use under the current use conditions, and fig. 6 (B) shows an example of a transition map of the wear amount of the endless chain 10 in the chain device 2 and a prediction map matching future use conditions (for example, use condition a and use condition B).
As described above, the replacement determination prediction means of the control unit 3B of the server apparatus 3 can predict the time when the wear limit corresponding to the future operation condition is reached.
The wear amounts in fig. 6 (a) and 6 (b) show, as an example, the wear amounts relative to the initial length of the endless chain 10 of the chain device 2, and as parameters of each axis of the transition map and the prediction map produced by the server device 3, for example, the transition map and the prediction map may be an average value of the wear amounts relative to the initial link length and an average value of the link length in each measurement period of the link units of all links, as will be described later.
(operation of control section of Server device)
The main routine will be described with reference to the flowchart of fig. 7.
The control unit 3B of the server apparatus 3 determines whether or not the transmitting/receiving unit 3A has received the information from the device information acquisition means 5 of the chain device 2 (S1), and when the information from the device information acquisition means 5 is received, the control unit stores the information in the storage means 3C (S2).
The replacement determination means of the control unit 3B determines whether or not the link should be replaced based on the received information (S3). For example, when the link length is greater than a predetermined length, the replacement determination unit determines that the link should be replaced.
When the replacement determination means determines that the link should be replaced, an instruction indicating the meaning of the replacement of the link is transmitted from the transmitting/receiving unit 3A to the user device 4 (S4).
When the replacement determination unit does not determine that the link should be replaced, the transition map of the link state information in each of the chain devices 2 is updated (S5).
Specifically, in the transition chart, the link state information is a link length, and represents a link length per measurement period as an average value of link lengths of all links in the endless chain 10 of the chain device 2.
In practice, not limited to this, various transition charts can be created according to the requirements of the user device 4, and for example, a transition in link length per measurement period of the link unit, a transition in wear amount per measurement period, and the like can be created.
That is, in the "link state information transition map update" processing (S5), the transition map may be changed as appropriate according to the request of the user device 4, or may be created (updated) only when there is a request from the user device 4.
Next, the control unit 3B generates and corrects the model function (S6), and performs replacement determination prediction using the model function (S7).
(model function)
The model function is generated in a form (unit, form are matched) that matches the transition diagram of the previous "transition diagram update of link state information" process (S5).
The model function can predict the period until the wear limit of the link is reached by determining the operating condition of the chain device 2 (for example, the length of the endless chain 10, the operating time per 1 day, the weight of the conveyed article). On the other hand, the constant or the like changes according to the "transition diagram of link state information". Thus, the model function can be appropriately adjusted according to the requirements of the user device 4.
(correction of model functions based on machine learning)
For example, each time the server apparatus 3 receives the information transmitted from the equipment information acquisition unit 5 of the chain equipment 2, the correction of the model function is performed. Specifically, machine learning based on a deep neural network is preferably used, and more specifically, it is preferable to design to recognize a pattern of time series data or the like of RNN (Recurrent Neural Networks). Among these, machine learning based on LSTM (Long Short Term Memory) suitable for machine learning for a longer period of time is more preferable.
Next, the subroutine is described with reference to the flowchart of fig. 8.
The control unit 3B of the server apparatus 3 regenerates the model function by receiving the information from the equipment information acquisition unit 5 of the chain equipment 2, and therefore also regenerates the prediction line map for each of all the equipment (S71).
The control unit 3B manages the operation conditions for each of the chain devices 2, and uses the operation conditions to be applied in the future in the creation of the predictive map (S72).
The control unit 3B creates (updates) a prediction map in a form (matching units and forms) that matches the "transition map of link state information" updated by the main routine (S73).
< example of device information acquisition Unit >
The chain wear measuring device 20, which is an example of the equipment information acquisition unit 5, will be described.
In the chain device 2 shown in the schematic plan view of fig. 9, the endless chain 10 is wound around the sprocket 15, the diverting pulleys 16, … and the diverting rollers 17, … of the driving device 14, and tension is given by the tensioner 18. The endless chain 10 travels in the direction of the arrow in the figure and circulates through a predetermined circulation path C.
In such a chain device 2, as described above, since the endless chain 10 is repeatedly bent in a state where tension is applied, the endless chain 10 gradually wears.
Therefore, in order to measure the wear of the endless chain 10, as shown in the schematic plan view of fig. 9, a chain wear measuring device 20 as the equipment information acquisition unit 5 is disposed at an appropriate position in the circulation path C of the endless chain 10.
(endless chain)
As shown in the exploded perspective view of fig. 10, the endless chain 10 includes, for example, a center link 11, an upper and lower pair of side links 12, and connecting pins 13, 13.
The center link 11 is formed of an elliptical ring-shaped member having pin holes 11A penetrating in the vertical direction at the front and rear end portions. The center link 11 may be a rod-shaped member having pin holes 11A penetrating in the vertical direction at the front and rear end portions.
The side links 12 are formed of plate-like members having pin holes 12A penetrating in the vertical direction at the front and rear end portions.
The connecting pin 13 is inserted into the pin hole 12A of one side link 12, the pin hole 11A of the center link 11, and the pin hole 12A of the other side link 12 and rotated by 90 °, thereby connecting the center link 11 to the upper and lower pair of side links 12, 12.
As shown in the perspective view of fig. 11 and the front view of fig. 14, pulleys 8, … are attached to the endless chain 10, and the left and right running rollers 9, 9 of the pulley 8 are supported by guide rails 7, 7 supported by the yoke 6.
As shown in the perspective view of fig. 11 and the partial longitudinal sectional view of fig. 12, the guide rails 7, 7 are a pair of right and left channel-shaped steel sections having a generally コ -shaped cross section, which are formed by opposing openings with a gap therebetween in the right and left direction, but may be one guide rail formed of I-shaped steel, and the running roller may be engaged with the right and left thereof.
(constitution of chain wear measuring device)
As shown in the perspective view of fig. 11, the partial longitudinal sectional view of fig. 12, and the front view of fig. 14, the chain wear measuring device 20 is supported by a support member 24, and is disposed at an appropriate position in the circulation path C of the endless chain 10, and includes a reflective photosensor 21 as measurement start position detecting means, a transmissive photosensor 22 as reference position detecting means, a laser CCD length measuring sensor 23 as distance measuring means, and a sensor controller 25 including an amplifier or the like of these sensors.
The reflective photosensor 21 projects light L1 (see fig. 13) onto a detection object and receives the reflected light to detect the object.
The transmissive photosensor 22 includes a light projector 22A and a light receiver 22B disposed opposite to each other, and projects light L2 from the light projector 22A to the light receiver 22B (see fig. 13) to detect interruption of the light L2 by an object passing between the light projector 22A and the light receiver 22B.
The laser CCD length measuring sensor 23 includes a light projector 23A and a light receiver 23B, and projects light L3 (see fig. 13) of a measurement width W from the light projector 23A to the light receiver 23B, and detects a position in a traveling direction of an object passing between the light projector 23A and the light receiver 23B when the object blocks the light L3 at a predetermined timing.
As shown in the front perspective view of fig. 13 and the front view of fig. 14, the reflective photosensor 21 as the measurement start position detection means is disposed at the first predetermined position P1, and the transmissive photosensor 22 as the reference position detection means is disposed at the second predetermined position P2 downstream of the first predetermined position P1.
The laser CCD length measuring sensor 23 as the distance measuring means is disposed such that the center of the measurement width W is located upstream of the second predetermined position P2 by, for example: the initial link length (distance from the measurement reference position RP of the center link 11 to the measurement reference position RP of the subsequent center link 11) D0 (see fig. 14) when the endless chain 10 is initially set in the chain device 2.
The laser CCD length measuring sensor 23 is disposed at a predetermined distance D0 from the second predetermined position P2, and is positioned in advance by a reference plate or the like having the distance determined.
(action of chain wear measuring device)
The endless chain 10 is provided with a reflecting plate 19 for determining a measurement start position. The link number of the center link 11 when the reflection plate 19 is detected by receiving the reflected light from the reflection plate 19 by projecting the light L1 from the reflection type photosensor 21 as the measurement start position detection means is set to 1.
The light L2 is projected from the transmission type photosensor 22 as the reference position detecting means, and the timing at which the light L2 is detected to be blocked by the measurement reference position RP, which is the tip end portion of the center link 11, is used as the trigger of the laser type CCD length measuring sensor 23, which is the distance measuring means.
As shown in fig. 13, at the timing, the laser CCD length measuring sensor 23 detects the position of the measurement reference position RP of the subsequent center link 11 when the light L3 is blocked by the measurement reference position RP which is the tip end portion of the subsequent center link 11, and can sequentially measure the link length D which is the distance from the measurement reference position RP to the subsequent measurement reference position RP for each link number such as link numbers 1, 2, 3, ….
When the reflective plate 19 of the endless chain 10 is detected by the reflective photoelectric sensor 21, the measurement of the link lengths of all the links of the endless chain 10 is completed, and thus the measurement is completed.
The chain wear measuring device 20 as the equipment information acquiring means 5 measures the link length as the link interval information, for example, periodically for each of the chain cycle period and/or the predetermined measurement period, and transmits the measured link length to the server device 3.
In the server device 3, as the link state difference information, the differences of the link numbers 1, 2, 3, … can be easily obtained for all the links of the endless chain 10. In this way, the server device 3 can identify a link in which wear has developed particularly and detect a break in the link that has occurred suddenly.
In a preferred embodiment, the chain device 2 includes an automatic oil supply unit that supplies oil to the endless chain 10 when the rate of change of the link state difference information calculated for each of the chain cycle periods and/or the predetermined measurement period is equal to or greater than a predetermined value.
Since the abrasion of the endless chain 10 occurs due to the sliding of the links, when the friction coefficient of the sliding portion increases, the abrasion amount of the endless chain 10 also increases. Thereby, the rate of change of the link state difference information becomes large.
Since the friction coefficient of the sliding portion is greatly controlled by the oil feeding state of the chain, for example, when the rate of change of the link state difference information is equal to or greater than a predetermined value, the automatic oil feeding unit feeds oil to the endless chain 10, whereby the rate of change of the link state difference information can be kept substantially constant.
The chain equipment monitoring system 1 according to the embodiment of the present invention described above includes: the server device 3 is connected to a plurality of chain devices 2, … including an endless chain 10 formed by connecting a plurality of links and a driving device 14 thereof via a network N; and a user device 4 connected to the network N, for acquiring device operation information, link unique information, and link status information from the plurality of chain devices 2, … by means of device information acquisition means 5 provided for each of the chain devices 2, and for collecting the information to the server device 3.
Then, the replacement determination unit of the server device 3 determines whether the link should be replaced or not based on the link-unique information and the link state information.
Further, the replacement determination prediction means of the server apparatus 3 predicts, based on the device operation information, the link unique information, and the link state information, a time period in which the replacement determination means can determine that the link should be replaced, in accordance with future operation conditions, which are expected to be applied in the future, in each of the plurality of chain devices 2, ….
Further, by collecting the measurement results of the plurality of device information acquisition units 5, … in the server apparatus 3, not only the specific endless chain 10 but also the measurement results of the endless chains 10, … at a plurality of positions can be analyzed in combination, and thus, highly accurate prediction can be performed.
By transmitting the determination result of the replacement determination means and the prediction result of the replacement determination prediction means to the user device 4, the result can be flexibly used on the user device 4 side, and therefore monitoring of a plurality of chain devices 2, … can be performed very efficiently.
The description of the above embodiments is given by way of example and is not limited thereto. Various modifications and alterations can be made without departing from the scope of the invention.
Claims (7)
1. A chain equipment monitoring system is provided with:
a plurality of chain devices including an endless chain formed by connecting a plurality of links and a driving device thereof;
an equipment information acquisition unit provided for each of the chain equipments; and
a server device connected to the plurality of device information acquisition units via a network,
the apparatus information acquisition unit acquires from the chain apparatus:
equipment operation information including information on operation conditions for operating the chain equipment respectively;
link-specific information, which is information specific to the link; and
link state information is information indicating the state of all the links in the endless chain during a period unique to each of the chain devices, i.e., a chain cycle period and/or a predetermined measurement period which is longer than the chain cycle period,
The server device comprises a storage unit, a replacement determination unit and a replacement determination prediction unit,
the server device further includes a differential information calculating unit that calculates link state differential information that is information indicating a difference between the link state information acquired during the chain cycle period and/or the predetermined measurement period and the link state information acquired during the chain cycle period and/or the predetermined measurement period,
the storage unit stores:
the equipment operation information of each of the chain equipment;
the link-inherent information of each of the links; and
the link status information during each of the chain cycles and/or during the prescribed measurements,
the storage unit further stores the link state difference information during each of the chain cycles and/or the predetermined measurement period for each of the links,
the replacement determination unit determines whether the link should be replaced or not based on the link-unique information and the link-state differential information stored in the storage unit,
the replacement determination prediction means predicts a time period in which the replacement determination means can determine that the link should be replaced, in accordance with a future operation condition, which is an operation condition expected to be applied in each of the chain devices, based on the device operation information, the link unique information, and the link state difference information stored in the storage unit,
And a plurality of equipment information acquisition units that collect the equipment operation information, the link unique information, and the link state information acquired from the respective chain equipment to the server device, and that combine and analyze the information acquired from the endless chains at a plurality of locations, the equipment information acquisition units being provided for each of the plurality of chain equipment.
2. The chain apparatus monitoring system as set forth in claim 1, wherein,
the equipment operation information also includes information on an environment in which each of the chain equipment is operated, that is, an operation environment.
3. The chain apparatus monitoring system as set forth in claim 1, wherein,
the equipment operation information includes, as operation conditions, a length of the endless chain, an operation time of the chain equipment for one day, and a weight of the transported object.
4. The chain apparatus monitoring system as set forth in claim 1, wherein,
the endless chain includes:
a center link formed of an elongated annular member or a rod-shaped member having pin holes penetrating in the vertical direction at the front and rear end portions;
the upper and lower pair of side links are formed by plate-shaped members having pin holes penetrating in the vertical direction at the front and rear end portions; and
A connecting pin connecting the center link and the upper and lower pair of side links,
the link state information is information related to a distance between a leading end portion of the preceding center link and a leading end portion of the center link that is continuous therewith.
5. The chain apparatus monitoring system as set forth in claim 1, wherein,
the link state information contains information related to the spacing of the links i.e. link spacing information,
the link state difference information is information of a difference in intervals of the links measured during each of the chain cycles and/or the predetermined measurement period of each of the links.
6. The chain apparatus monitoring system as set forth in claim 1, wherein,
the chain device further includes an automatic oil supply unit that supplies oil to the endless chain when a rate of change of the link state difference information calculated during each of the chain cycles and/or the predetermined measurement period is equal to or greater than a predetermined value.
7. The chain apparatus monitoring system as set forth in claim 5, wherein,
the chain device further includes an automatic oil supply unit that supplies oil to the endless chain when a rate of change of the link state difference information calculated during each of the chain cycles and/or the predetermined measurement period is equal to or greater than a predetermined value.
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| CN202210290936.7A CN114590535B (en) | 2018-08-31 | 2019-06-25 | Chain equipment monitoring system |
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| JP2018162663A JP7183633B2 (en) | 2018-08-31 | 2018-08-31 | Chain equipment monitoring system |
| JP2018-162663 | 2018-08-31 | ||
| CN201910554126.6A CN110871985B (en) | 2018-08-31 | 2019-06-25 | Chain equipment monitoring system |
| CN202210290936.7A CN114590535B (en) | 2018-08-31 | 2019-06-25 | Chain equipment monitoring system |
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| JP2020037457A (en) * | 2018-09-03 | 2020-03-12 | 中西金属工業株式会社 | Chain monitoring system |
| JP7293289B2 (en) * | 2021-07-16 | 2023-06-19 | 東芝エレベータ株式会社 | Chain elongation detector |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN110871985B (en) | 2022-04-01 |
| JP7183633B2 (en) | 2022-12-06 |
| CN110871985A (en) | 2020-03-10 |
| JP2020033164A (en) | 2020-03-05 |
| CN114590535A (en) | 2022-06-07 |
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