CN107253670A - A kind of method that crane health status is analyzed by MHCIMS - Google Patents
A kind of method that crane health status is analyzed by MHCIMS Download PDFInfo
- Publication number
- CN107253670A CN107253670A CN201710711897.2A CN201710711897A CN107253670A CN 107253670 A CN107253670 A CN 107253670A CN 201710711897 A CN201710711897 A CN 201710711897A CN 107253670 A CN107253670 A CN 107253670A
- Authority
- CN
- China
- Prior art keywords
- data
- crane
- mhcims
- plc
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/16—Applications of indicating, registering, or weighing devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C15/00—Safety gear
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of method that crane health status is analyzed by MHCIMS, comprise the following steps：Set programmable logic controller (PLC) PLC collection crane data；By the crane data feedback of collection to Agent servers；Agent servers pass through the bundled feedback of Agent data to MHCIMS；MHCIMS is analyzed data for difference in functionality, and obtained result is shown.The present invention can pair service data related to crane overall operation health status and component life carry out all-round statistics and labor, and show that some have the conclusive suggestion for directing meaning concretely on this basis, and field engineer's rich experience is integrated into software algorithm, in the analytic function for incorporating warning message, the parsing and prompting and the suggestion for the treatment of measures for failure cause are formed.The present invention can also upgrade to many are driven a vehicle into row information collect statistics, analyze to when analysis on the health status.
Description
Technical field
The present invention relates to a kind of crane health analysis method, especially a kind of intelligence of crane monitoring system (MHCIMS)
The analysis method of energyization.
Background technology
At present, the monitoring system of domestic crane is a lot, but is all confined to the simple collection of data, directly stores, directly
The implementation phase of the functions such as display, simple alarm, and it is confined to the monitoring of separate unit crane.It is existing that it can only help people to solve
Field debugging and the subproblem of fault diagnosis afterwards.
With industrial automation and information-based development, people need new technical method to reach the effect safeguarded in advance
Really, the problem of be able to will be produced by the statistical analysis anticipation of data before failure or problem occur, and lifting can be assessed
The current health status of the current state of machine particularly crane, helps the more efficient management of people, analysis crane.
The content of the invention
In view of the defect that prior art is present, the present invention will be provided a kind of analyzes crane health status by MHCIMS
Method, carries out all-round statistics by a pair service data related to crane, warning message and component life information and divides in detail
Analysis, and the assessment to crane health is realized on this basis, there is problem in anticipation crane, the pass for helping attendant to refine
Key problem points, maintenance emphasis etc., make that the operation of crane is more safe efficient, energy-conservation.
To achieve these goals, technical scheme：It is a kind of that crane health status is analyzed by MHCIMS
Method, comprises the following steps：
Step 1, setting programmable logic controller (PLC) PLC collection crane data, described crane data include：
Each gears；
Lifting mechanism load；
Each mechanism electric current；
Each mechanism voltage；
Lifting mechanism brake；
Crane input voltage；
Each mechanism starts the time；
All Alerts；
Dominant touch device；
Crane electric energy；
Motor speed；
Step 2, by the crane data feedback of collection to Agent servers；Comprise the following steps that：
Step 21, the crane data address gathered for programmable logic controller (PLC) PLC in step 1 take in Agent
Business device carries out communication setting；Described address refers to crane data in the collection address of PLC registers；Described communication refers to PLC
Communicated, and posted in Agent server settings with PLC by RS-485 or Modbus communications protocol with Agent servers
The one-to-one data receiver address in collection address of storage；
Step 22, the crane data gathered to its step 1 are scanned to obtain real-time number in Agent servers
According to real time data is filed, i.e., is saved in real time data on Agent servers according to time, numerical value；The lattice that i.e. data are preserved
Formula was preserved according to the time and numerical value of data acquisition；
Step 3, Agent servers pass through the bundled feedback of Agent data to MHCIMS；That is MHCIMS passage times, number
It is worth the name in Agent servers, calls Agent library files to carry out data binding；
Step 4, MHCIMS are analyzed data for difference in functionality, obtained result are shown on interface, specifically
Step is as follows：
Step 41, statement analysis, including system evaluation and failure seniority among brothers and sisters；
Step 42, alarm analysis, including alarm distributed number, alarm rate distribution, alert process time ranking, destructive event
Barrier statistics and surge fault statistics；
When step 43, operation information analysis, including crane and mechanism working level, run time, operational efficiency, acceleration
Between, deceleration time, the mechanical braking time, maximum current value and correspondence pressure drop ratio, working cycles sum, load gross tonnage；
Step 44, durability analysis, include the longevity assessment of calculating, the longevity assessment of mechanical part and electrical equipment；
Described calculating refers to：Pair service data related to crane health status carries out statistical analysis, according to live work
The software algorithm that Cheng Shi experiences are integrated, draws the numerical value of amount of interest, is entered by the standard value with conventional data or setting
Row contrast draws the health status of crane；
The longevity assessment of described mechanical part refers to：Whether reach that service life carries out measurement and sentenced to it by empirical equation
It is disconnected；
The longevity assessment of described electrical equipment refers to：Number of times, run time and action frequency are changed by electrical equipment
Index carries out the measurement of service life to it.
Further, the system evaluation described in step 41 is that the relevant item recorded by inquiring about in travelling data storehouse is related
Data, see if fall out a reference value, and the problem of display system there is currently summarizes the subject matter for pointing out that driving is present；Institute
The failure seniority among brothers and sisters stated is, by being ranked up to Mechanism of crane failure in database according to occurrence number, intuitively to show from a certain
Moment is to the most failure of current problem.
Compared with prior art, beneficial effects of the present invention are as follows：
The present invention being capable of pair service data related to crane overall operation health status and the progress of component life information
All-round statistics and labor, and show that some have the conclusive prompting and suggestion for directing meaning concretely on this basis, and
Field engineer's rich experience is integrated into software algorithm, in the analytic function for incorporating warning message, forms former for failure
The parsing and prompting and the suggestion for the treatment of measures of cause.The present invention not only can carry out detailed health control also for separate unit driving
Collect statistics and the analysis contrast driven a vehicle to many into row information can be upgraded to, be workshop level, the concentrate tube of factory level equipment
Reason provides data basis.
Brief description of the drawings
Fig. 1 is the inventive method flow chart.
Fig. 2 is present system function structure chart.
Fig. 3 is analytical statement module results figure of the present invention.
Fig. 4 is alarm analysis function structure chart of the present invention.
Fig. 5 is operating analysis function structure chart of the present invention.
Fig. 6 is durability analysis function structure chart of the present invention.
Fig. 7 be MHCIMS internal modules between according to flow graph.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, technical scheme is clearly and completely described, it is clear that described embodiment is that a part of the invention is real
Apply example, rather than whole embodiments.It is as described below, the only present invention preferably embodiment, but the protection of the present invention
Scope is not limited thereto, any one skilled in the art the invention discloses technical scope in, according to this
The technical scheme of invention and its inventive concept are subject to equivalent substitution or change, should all be included within the scope of the present invention.
Fig. 1 plays method flow diagram for the present invention, and local data base is connected by WCF with MHCIMS, and MHCIMS is by calling
Agent library files binding data is connected with Agent servers, and Agent servers are bound by binding data in PLC addresses
It is connected with PLC；PLC is connected by hardware with crane.Table 1 show the abbreviation that the present invention is used.
Fig. 2 is health control general view, including statement analysis, operating analysis and alarm analysis life-span correlation function.
System evaluation in Fig. 3：Purpose is that the relevant item related data recorded by inquiring about in travelling data storehouse (is shown in Table
2) a reference value, is seen if fall out, the problem of display system there is currently summarizes the subject matter for pointing out that driving is present；
Failure is ranked：By being ranked up to Mechanism of crane failure in database according to occurrence number, display directly perceived from
The a certain moment is to the most failure of current problem.
Fig. 4 includes alarm distributed number, alarm rate distribution, alert process for the correlation function for crane alarm design
Time ranking, destructive malfunction statistics, surge fault statistics, the software algorithm parsing integrated by the experience of field engineer and
The All Alerts information recorded in staqtistical data base draws corresponding result.Alarm statistics purpose of for example increasing sharply is to count and show
At the appointed time in section it is all increase sharply alarm top ten lists.
Specific algorithm is as follows：
Statistics ring ratio is accelerated or amplitude exceedes a range of alarm：
When this alarm of upper cycle quantity is within 5 and 5, to accelerate more than or equal to 3, as increase sharply event
Barrier；
When this alarm of upper cycle quantity is more than 5, increasing degree is more than or equal to 50%, failure of as increasing sharply；
Note：" a upper cycle " refers to time range corresponding with this cycle；
Fig. 5 is that the statistical result of the main pair service data related to crane health status of operating analysis this function is entered
Row displaying, main object is producers, attendant.Administrative staff can also understand crane by this statistics
Running situation.
The statistical item that it is included is as follows：
Crane and mechanism working level；
Run time, operational efficiency；
Acceleration time, deceleration time, mechanical braking time；
Maximum current value and correspondence pressure drop ratio；
Working cycles sum, load gross tonnage.
The software algorithm parsing integrated by the experience of field engineer and statistics show that corresponding result is exemplified below：
1) run time and operational efficiency algorithm：
Bring into operation and brought into operation as crane for any one motor, in this, as the timing of crane run time
Starting point；
Operational efficiency=run time/natural time.
2) statistics acceleration time and deceleration time computational methods：
Condition need to be met：A, moderating process：Time t of the gear from 4 to 0<=0.8s；Accelerator：Gear is from 0 to 4
Time t<=0.8s；B, the delay 3s at 0 grade；
Record numerical value：The initial time t1 that a, gear change since fourth gear；Time t2 when b, speed are 0；During acceleration
Between numerical value be t2-t1.
3) mechanical braking Time Calculation method：
Time point list when writing speed Agent is 0, finds and the above-mentioned time in brake Agent LGD files
At the time point that the corresponding Stopper contact device value of point is 0, subtract each other one by one, obtain a series of mechanical braking times.
Fig. 6, for mechanical part, mainly passes through to calculate and evaluating the schematic diagram in the life-span of mechanical part and electrical equipment
Whether empirical equation reaches that service life carries out measurement judgement to it；For electrical equipment, when mainly by changing number of times, operation
Between and the index such as action frequency measurement using service life is carried out to it.Some mechanical part related algorithm：
A) the vehicle steel construction life-span：
1. residual life is estimated
Variable：Working level, use time；
2. mechanism real time status
Variable：Camber h1, girder difference of height h2；
Calculate camber h1：
Dolly is stopped at girder one end, sets level height line, measures the two ends height and span centre height of every girder, specifically
Step is as follows：
Input " span S ", " trolley span K ", " left end height A ", " right-hand member height B ", " span centre height C ", definition arch
Degree：The span normal operating range of h1 >=0.7, the spans of h1 ＜ 0.7 suggestion is repaired, and calculation formula is as follows：
H1=C- (A+B)/2；
Calculate girder difference of height h2；
Girder difference of height h2 is the same section difference of height of two beams, and formula h 2 is equal to two girder C value differences；
Whether normal girder difference of height judgment criteria be as follows：
When trolley span K≤2 meter, h2≤3mm；
When 2 meters≤K≤6.6 meter of trolley span, h2≤0.0015K；
As 6.6 meters of trolley span K ＞, h2≤10mm.
B) rope service-life：
1. range ability is counted, self study data are standard；
2. acting total amount is counted, formula W=FS, and F is hangs loading capacity, and S is range ability, and self study data are standard；
3. wirerope diameter is monitored, measuring steel wire rope diameter d ', and formula d ' >=0.93d is normally used, and d is nominal diameter；
C) the suspension hook life-span：
1. use time, self study data are standard；
2. suspension hook opening size is monitored, input " former opening size a ", is measured " opening size a ' ", formula a '≤1.15a,
Normally use；
D) the braked wheel life-span：
1. number of times is braked, self study data are standard；
2. wheel rim nominal value b, measured value b ' are braked；
Raising, jib lubbing mechanism b ' >=0.6b, are normally used；
Other mechanisms b ' >=0.5b, is normally used；
E) the brake band friction shim life-span：
1. number of times is braked, self study data are standard；
2. nominal thickness B, measures thickness B '：
Formula B >=0.5B ', is normally used；
Fig. 7 is communicated between showing MHCIMS internal modules by servicing layer interface with database.Software module is needed
The data to be shared, are carried out by database.
Table 1 is the term and abbreviation used in the present invention
| Abbreviation | Explain |
| WCF | The universal network communication framework of Microsoft |
| PLC | Programmable logic controller (PLC) |
| MHCIMS | Crane monitoring system |
| Agent | Variable in MH-SCADA |
Table 2 is the relevant item related data of system evaluation
| Acceleration time |
| Deceleration time |
| The mechanical braking time |
| Maximum current value and correspondence pressure drop ratio |
| Alarm sum |
| Security incident is alerted |
| Equipment scaling loss is alerted |
| Fault rate increase warning |
| Driver's non-standard operation is alerted |
| Disorderly closedown is alerted |
| Equipment life alarm warning |
Claims (2)
1. a kind of method that crane health status is analyzed by MHCIMS, it is characterised in that：Comprise the following steps：
Step 1, setting programmable logic controller (PLC) PLC collection crane data, described crane data include：
Each gears；
Lifting mechanism load；
Each mechanism electric current；
Each mechanism voltage；
Lifting mechanism brake；
Crane input voltage；
Each mechanism starts the time；
All Alerts；
Dominant touch device；
Crane electric energy；
Motor speed；
Step 2, by the crane data feedback of collection to Agent servers；Comprise the following steps that：
Step 21, the crane data address gathered for programmable logic controller (PLC) PLC in step 1 are in Agent servers
Carry out communication setting；Described address refers to crane data in the collection address of PLC registers；Described communication refer to PLC and
Agent servers are communicated by RS-485 or Modbus communications protocol, and are deposited in Agent server settings and PLC
The one-to-one data receiver address in collection address of device；
Step 22, the crane data gathered to its step 1 are scanned to obtain real time data in Agent servers, will
Real time data is filed, i.e., be saved in real time data on Agent servers according to time, numerical value；I.e. data preserve form be
What time and numerical value according to data acquisition were preserved；
Step 3, Agent servers pass through the bundled feedback of Agent data to MHCIMS；I.e. MHCIMS passage times, numerical value exist
The name of Agent servers, calls Agent library files to carry out data binding；
Step 4, MHCIMS are analyzed data for difference in functionality, obtained result are shown on interface, specific steps
It is as follows：
Step 41, statement analysis, including system evaluation and failure seniority among brothers and sisters；
Step 42, alarm analysis, including alarm distributed number, alarm rate distribution, alert process time ranking, destructive malfunction system
Meter and surge fault statistics；
Step 43, operation information analysis, including crane and mechanism working level, run time, operational efficiency, the acceleration time,
Deceleration time, mechanical braking time, maximum current value and correspondence pressure drop ratio, working cycles sum, load gross tonnage；
Step 44, durability analysis, include the longevity assessment of calculating, the longevity assessment of mechanical part and electrical equipment；
Described calculating refers to：Pair service data related to crane health status carries out statistical analysis, according to field engineer
The software algorithm that experience is integrated, draws the numerical value of amount of interest, passes through the standard value progress pair with conventional data or setting
Than the health status for drawing crane；
The longevity assessment of described mechanical part refers to：Whether reach that service life carries out measurement judgement to it by empirical equation；
The longevity assessment of described electrical equipment refers to：Number of times, run time and action frequency index are changed by electrical equipment
The measurement of service life is carried out to it.
2. a kind of method that crane health status is analyzed by MHCIMS according to claim 1, it is characterised in that：Bag
Include following steps：System evaluation described in step 41 is the relevant item related data recorded by inquiring about in travelling data storehouse,
A reference value is seen if fall out, the problem of display system there is currently summarizes the subject matter for pointing out that driving is present；Described event
Barrier seniority among brothers and sisters be by being ranked up to Mechanism of crane failure in database according to occurrence number, display directly perceived from a certain moment to
The most failure of current problem.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710711897.2A CN107253670A (en) | 2017-08-18 | 2017-08-18 | A kind of method that crane health status is analyzed by MHCIMS |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710711897.2A CN107253670A (en) | 2017-08-18 | 2017-08-18 | A kind of method that crane health status is analyzed by MHCIMS |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107253670A true CN107253670A (en) | 2017-10-17 |
Family
ID=60027012
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710711897.2A Pending CN107253670A (en) | 2017-08-18 | 2017-08-18 | A kind of method that crane health status is analyzed by MHCIMS |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107253670A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109118383A (en) * | 2018-10-31 | 2019-01-01 | 中船第九设计研究院工程有限公司 | Shipbuilding production management system and method based on gate-type lifting operation conditions |
| CN115028073A (en) * | 2022-07-25 | 2022-09-09 | 成都洋硕机电设备有限公司 | Intelligent factory industrial equipment fault analysis and evaluation system based on industrial Internet of things |
-
2017
- 2017-08-18 CN CN201710711897.2A patent/CN107253670A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109118383A (en) * | 2018-10-31 | 2019-01-01 | 中船第九设计研究院工程有限公司 | Shipbuilding production management system and method based on gate-type lifting operation conditions |
| CN115028073A (en) * | 2022-07-25 | 2022-09-09 | 成都洋硕机电设备有限公司 | Intelligent factory industrial equipment fault analysis and evaluation system based on industrial Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106698197B (en) | Container crane inline diagnosis and preventative maintenance system based on big data | |
| CN112948457B (en) | Passenger ropeway detection monitoring and health diagnosis system, method, medium and equipment | |
| CN108928744B (en) | Container crane online diagnosis and maintenance system based on big data | |
| CN111562096B (en) | Real-time online health state monitoring system of escalator | |
| CN104555627A (en) | Elevator Internet-of-Things operation control management system and operation control method thereof | |
| CN103098044A (en) | Cycle decomposition analysis for remote machine monitoring | |
| CN101224854A (en) | Crane integrated observation system and method | |
| CN106354123A (en) | System for automatically detecting faults of large-scale mechanical equipment based on internet of things | |
| CN108529380A (en) | Elevator safety prediction technique and system | |
| CN107147213B (en) | Intelligent alarming and comprehensive analysis and treatment method for frequent monitoring information of power grid | |
| CN103900829B (en) | LabVIEW-based health state intelligent monitoring system and method for large track traveling device | |
| CN115246609B (en) | Elevator safety prevention and control cloud platform and running state evaluation and processing method | |
| CN107253670A (en) | A kind of method that crane health status is analyzed by MHCIMS | |
| CN109459659A (en) | It is a kind of for predicting the system and method for electric power system fault | |
| CN108471165A (en) | A kind of Electrical Safety for rail traffic station monitors system and method | |
| CN107445060A (en) | Information physical emerging system and method applied to crane health monitoring | |
| CN102975745B (en) | Preventative maintenance system and preventative maintenance method of subway signal system | |
| CN113968528A (en) | On-demand maintenance monitoring method and system | |
| CN107272572B (en) | A method of crane efficiency/efficiency is analyzed by MHCIMS | |
| CN109552959A (en) | A kind of towed elevator remotely monitors and fault diagnosis system and method | |
| JP2018018233A (en) | Operation information analysis device | |
| TWI380226B (en) | System and method of prognostic analysis and resource planning for apparatu | |
| CN108757418B (en) | Piston type air compressor fault early warning method, piston type air compressor and track train | |
| CN101807314A (en) | Method for processing embedded vehicle working condition hybrid heterogeneous data information in real time | |
| CN106199251A (en) | A kind of distribution network failure early warning system analyzed based on adaptive modeling and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171017 |