CN205328472U - Lifting hook incline monitoring system of high pedestal jib crane - Google Patents
Lifting hook incline monitoring system of high pedestal jib crane Download PDFInfo
- Publication number
- CN205328472U CN205328472U CN201521011325.6U CN201521011325U CN205328472U CN 205328472 U CN205328472 U CN 205328472U CN 201521011325 U CN201521011325 U CN 201521011325U CN 205328472 U CN205328472 U CN 205328472U
- Authority
- CN
- China
- Prior art keywords
- suspension hook
- jib crane
- high pedestal
- pedestal jib
- dynamic
- 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.)
- Withdrawn - After Issue
Links
Landscapes
- Control And Safety Of Cranes (AREA)
Abstract
The utility model relates to a lifting hook incline monitoring system of high pedestal jib crane, including lifting hook posture detection device, thing communication network device, cloud ware, terminating machine, PLC control system device, alarm. Thing communication network device is connected with lifting hook posture detection device, PLC control system device, the communication of cloud ware respectively to realize data transfer between cloud ware and lifting hook posture detection device, the PLC control system device. The terminating machine is connected in order to acquire the data in the cloud ware with the communication of cloud ware. The alarm is connected with the terminating machine, carries out warning work according to terminating machine lifting hook incline angle. Simultaneously this lifting hook incline monitoring system of high pedestal jib crane can with lifting hook posture and dynamic trajectory draw into in picture transmission to the terminating machine for real -time, the convenient and fast of driving operating personnel acquire the posture of lifting hook, and then have the posture of the operation adjustment lifting hook of purpose, effectively guarantee the safety work of high pedestal jib crane.
Description
Technical field
This utility model relates to crane hanging component technical field, and the suspension hook deflection particularly to a kind of high pedestal jib crane monitors system。
Background technology
High pedestal jib crane is the one wherein instrument that port and pier commonly use。Between human pilot and a weight of high pedestal jib crane, there is certain distance, to whether the line of jib root twisted point with the lifting of weight point keeps vertical being difficult to judge。But particular job principle in view of high pedestal jib crane, when particularly weight starts to lift by crane, if the line out of plumb between the lifting point of lift heavy thing and jib root twisted point, then crane self steel mechanism can be caused damage, simultaneously under the lifting point of lift heavy thing with the line off plumb situation of jib root twisted point, weight can wave in the moment departing from ground, causes serious security incident most probably, there is potential safety hazard。Therefore, in high pedestal jib crane cargo handling process, the deflection situation of suspension hook is monitored extremely important。
Authorization Notice No. is the Chinese utility model patent " control device for hook position " of CN201089701Y (application number is 200720027082.4), wherein lift hook position can be positioned control by the disclosed device that controls, to meet the control requirement to lift hook position angle, but the signal of this control device for hook position detection cannot feed back to operator, cannot be carried out instructing efficiently and effectively to the operation of operator。
Utility model content
Technical problem to be solved in the utility model is to provide a kind of for above-mentioned prior art to be capable of the suspension hook deflection monitoring system that information obtains the high pedestal jib crane of suspension hook deflection situation alternately in real time for operator。
The technical scheme in the invention for solving the above technical problem is: the suspension hook deflection monitoring system of a kind of high pedestal jib crane, it is characterised in that including:
Suspension hook gesture detection means, is arranged on the suspension hook of high pedestal jib crane, and the dynamics data for the dynamic posture of described suspension hook detects and transmits；
Internet of Things communicator, is arranged in the electric panel room of high pedestal jib crane, for realizing the network transmission of data；
Cloud Server, is connected with described Internet of Things communicator communication, and described Cloud Server has a data computation module and calculates for the comparison at suspension hook angle of inclination；
Terminating machine, is arranged on the driver's cabin of high pedestal jib crane, is connected with described Cloud Server communication, for obtaining the data that Cloud Server transmits；
Described suspension hook gesture detection means includes:
Sensor group, includes at least one motion sensor, for gathering the dynamic postural cue of suspension hook；
Wave filter, is connected with each motion sensor in described sensor group, for being filtered processing to the dynamic postural cue of the suspension hook of sensor group collection；
Microprocessor, is connected with described wave filter, for the dynamic postural cue computing of described suspension hook includes the dynamics data of the dynamic posture of suspension hook at suspension hook angle of inclination with acquisition；
GPS locating module, for gathering the position data of described suspension hook；
Wireless communication module, is connected with described microprocessor and GPS locating module, and this wireless communication module can also be connected with described Internet of Things communicator communication, for the position data of the dynamics data of the dynamic posture of Wireless transceiver suspension hook and suspension hook。
For the angle of inclination situation showing suspension hook of convenient image, described Cloud Server has the image processing module that the position data of the dynamics data of dynamic for suspension hook posture and suspension hook can carry out image conversion process。
In order to conveniently show image, described terminating machine has a display。
Preferably, being additionally provided with the PLC control system device of the weighing information that at least can gather high pedestal jib crane, the information that hoists, jib rotation information in the electric panel room of described high pedestal jib crane, described PLC control system device is connected to realize PLC control system device and gathers the transmission of information with described Internet of Things communicator。
Preferably, described sensor group include for detect suspension hook accelerate information 3-axis acceleration sensor, for detecting the three-axis gyroscope sensor of suspension hook rotating speed data and for detecting the geomagnetic sensor of suspension hook moving direction。
In order to ensure that in dynamic environment, the dynamic postural cue of suspension hook accurately exports, the described wave filter of suspension hook is Kalman filter。
Easily, being additionally provided with alarm in the driver's cabin of described high pedestal jib crane, described alarm is connected with described terminating machine。
Compared with prior art, the utility model has the advantage of: the dynamics data of dynamic for the suspension hook of collection posture can be transmitted by the suspension hook deflection monitoring system of this high pedestal jib crane by wireless communication technique, the simultaneously position data of the dynamics data of the dynamic posture of image conversion suspension hook and suspension hook, and then it is sent to driver's cabin in real time, driver behavior personnel can be allowed real-time, conveniently obtain the information in image, and then facilitate operator shoot the arrow at the target suspension hook posture is adjusted, operation purposiveness is definitely, it is more convenient to operate, can effectively ensure that the trouble free service of high pedestal jib crane。
Accompanying drawing explanation
Fig. 1 is the suspension hook deflection monitoring system architecture diagram of high pedestal jib crane in this utility model embodiment。
Detailed description of the invention
Below in conjunction with accompanying drawing embodiment, this utility model is described in further detail。
As it is shown in figure 1, the suspension hook deflection monitoring system of a kind of high pedestal jib crane in the present embodiment, including suspension hook gesture detection means 1, Internet of Things communicator 2, Cloud Server 3, terminating machine 4, PLC control system device 5, alarm 6。Internet of Things communicator 2 is connected with suspension hook gesture detection means 1, PLC control system device 5 and Cloud Server 3 communication respectively, to realize the Cloud Server 3 data transmission respectively and between suspension hook gesture detection means 1 and PLC control system device 5。Terminating machine 4 is connected to obtain the data in Cloud Server 3 with Cloud Server 3 communication。Alarm 6 is connected with terminating machine 4, carries out alert operation according to the suspension hook angle excursion that terminating machine 4 obtains。
Wherein suspension hook gesture detection means 1 is arranged on the suspension hook of high pedestal jib crane, and the dynamics data for the dynamic posture of suspension hook detects and transmits。Concrete, it is possible to when high pedestal jib crane suspension hook is naturally vertical, the correct position on suspension hook installs an outdoor enclosure, and this suspension hook gesture detection means 1 then may be installed in this rosette。
This suspension hook gesture detection means 1 includes sensor group 11, wave filter 12, microprocessor 13, GPS locating module 14 and wireless communication module 15。
Sensor group 11 includes at least one motion sensor, for gathering the dynamic postural cue of suspension hook。Sensor group 11 in the present embodiment include for detect suspension hook accelerate information 3-axis acceleration sensor, for detecting the three-axis gyroscope sensor of suspension hook rotating speed data and for detecting the geomagnetic sensor of suspension hook moving direction。The dynamic postural cue of suspension hook is obtained by these three motion sensor collection。
In wave filter 12 sensor group 11, each motion sensor is connected, for being filtered processing to the dynamic postural cue of the suspension hook that sensor group 11 gathers。In the present embodiment, wave filter 12 adopts Kalman filter, utilizes Kalman filter the signal that each motion sensor gathers under dynamic environment can be carried out effective Filtering Processing, it is ensured that the accurate output of the dynamic postural cue of suspension hook under dynamic environment。
Microprocessor 13, is connected with wave filter 12, is used for the dynamic postural cue computing to suspension hook to obtain the dynamics data of the dynamic posture of suspension hook。Existing micro-chip processor selected by this microprocessor 13, the data procedures of signal is adopted existing kinetics clearing algorithm, and microprocessor 13 can obtain the dynamics datas such as the angle of deviation of suspension hook, the amplitude of oscillation, hunting period, the anglec of rotation, angular velocity of rotation, lifting altitude after the dynamic postural cue of suspension hook is calculated process accordingly。
GPS locating module 14 is for gathering the position data of described suspension hook, and GPS locating module 14 can select as needed in existing GPS positioning chip。
Wireless communication module 15 is connected with microprocessor 13 and GPS locating module 14 respectively, microprocessor 13 and GPS locating module 14 are then carried out communication with Internet of Things communicator 2 be connected by this wireless communication modules 15, thus the position data of the dynamics data of the dynamic posture of Wireless transceiver suspension hook and suspension hook is to Internet of Things communicator 2。Wireless communication module 15 can be arranged according to the communication protocol adaptation of Internet of Things communicator 2, and in the present embodiment, wireless communication module 15 and Internet of Things communicator 2 adopt 3G network to carry out communication。
Internet of Things communicator 2 is arranged in the electric panel room of high pedestal jib crane, for realizing the network transmission of data。Internet of Things communicator 2 in the present embodiment is a 3G Internet of Things communicator 2, it is possible to realized respectively by 3G network and the communication of suspension hook gesture detection means 1 and Cloud Server 3。
Cloud Server 3 has a data computation module 31, the suspension hook angle of inclination threshold value that the data at the suspension hook angle of inclination of its reception and Qi Nei are arranged can be compared calculating by this data computation module 31, thus judging that the real-time angle of inclination of suspension hook is whether beyond the tilt angle ranges of safety, and then it is capable of reporting to the police。Also having an image processing module 32 that the position data of the dynamics data of dynamic for suspension hook posture and suspension hook can carry out image conversion process in Cloud Server 3, visualizing data is showed operator by image processing module 32, facilitates operator to judge。
Terminating machine 4 is arranged on the driver's cabin of high pedestal jib crane, and terminating machine 4 can obtain the suspension hook dynamic trajectory image that the dynamics data of dynamic posture of its suspension hook, the position data of suspension hook and the image processing module 32 of Cloud Server 3 are drawn with Cloud Server 3 communication in Cloud Server 3 after being connected。
Terminating machine 4 in the present embodiment can have the communication equipments such as display 41 for mobile phone, notebook computer, panel computer etc.。User can select as required。Suspension hook dynamic trajectory image then can display on the display 41 of terminating machine 4。Being also connected with an alarm 6 on terminating machine 4, this alarm 6 can be reported to the police when the angle of inclination of suspension hook exceedes safe rain threshold value。
PLC control system device 5 can adopt PLC control system device 5 general on high pedestal jib crane, this PLC control system device 5 can gather the various operational datas in high pedestal jib crane work, wherein PLC control system device 5 can gather the weighing information of high pedestal jib crane, the information that hoists, jib rotation information, this PLC control system device 5 is connected with Internet of Things communicator 2 and is sent in Internet of Things communicator 2 so that PLC control system device 5 to gather information, using the reference signal worked as suspension hook gesture detection means 1。
The monitoring method of the suspension hook deflection monitoring system of aforesaid high pedestal jib crane, comprises the following steps:
Step one, setting in the data computation module 31 of Cloud Server 3 and ensure that the suspension hook angle of inclination threshold value of trouble free service, being 5 ° as can set that safe suspension hook angle of inclination threshold value；
Step 2, suspension hook are articulated on weight, suspension hook apply lift power upwards to tighten the steel wire rope for lifting weight；
Step 3, suspension hook gesture detection means 1 start work, in suspension hook gesture detection means 1, each sensor of sensor group 11 works to gather the dynamic postural cue of suspension hook respectively, is sent in microprocessor 13 after the Filtering Processing of dynamic postural cue device 12 after filtering；These dynamic postural cues are carried out processing the dynamics data calculated to obtain the dynamic postures of suspension hook such as angle of deviation, the amplitude of oscillation, hunting period, the anglec of rotation, angular velocity of rotation, lifting altitude by microprocessor 13, and then are sent in Internet of Things communicator 2 by wireless communication module 15 by the dynamics data of dynamic for suspension hook posture；
Meanwhile, GPS locating module 14 is gathered the position data of suspension hook and the position data of suspension hook is sent in Internet of Things communicator 2 by wireless communication module 15；
Dynamic for the suspension hook dynamics data of posture and the position data of suspension hook are sent in Cloud Server 3 by step 4, Internet of Things communicator 2；
Step 5, Cloud Server 3 position data according to the dynamics data of the dynamic posture of suspension hook received and suspension hook, by image processing module 32, the dynamic location information of suspension hook is plotted as the dynamic trajectory image of suspension hook, thus this dynamic trajectory image is sent to terminating machine 4 by Cloud Server 3, to display on the display 41 of terminating machine 4；
The drawing process of the dynamic trajectory image of suspension hook is by image processing module 32: in Cloud Server 3, data computation module 31 calculates, according to the dynamics data of the dynamic posture of suspension hook received and the position data of suspension hook, the position data that suspension hook is corresponding under desirable plumbness, and by image processing module 32, position definition corresponding for this position data is plotted as central point, by the suspension hook angle of inclination threshold rendering of setting be the center of circle with central point circle, region in corresponding circle is then the security standpoint region that suspension hook tilts to all directions, thus forming the dynamic base map of suspension hook；In Cloud Server 3, data computation module 31 draws the Real-time and Dynamic trace image of suspension hook according to the dynamics data of the dynamic posture of suspension hook of real-time reception by image processing module 32 on the dynamic base map of suspension hook；
Cloud Server 3 utilizes data computation module 31 that the suspension hook angle of inclination data in the dynamics data of dynamic for suspension hook posture and suspension hook angle of inclination threshold value are compared calculating simultaneously, if the angle of inclination data of suspension hook exceed the angle of inclination threshold value of suspension hook, then sending alarm signal in terminating machine 4, terminating machine 4 controls alarm 6 and reports to the police；
Correspondingly, the inclination information of the display suspension hook of the dynamic trajectory image of suspension hook, namely the bowlder that the suspension hook angle of inclination threshold value that exceedes on dynamic base map when the dynamic trajectory of suspension hook is corresponding, then the angle of inclination of suspension hook exceedes safe suspension hook angle of inclination threshold value 5 °, then alarm 6 is reported to the police；If the bowlder that the dynamic trajectory of suspension hook is corresponding not less than the suspension hook angle of inclination threshold value on dynamic base map, namely the angle of inclination of suspension hook is not less than the suspension hook angle of inclination threshold value 5 ° of safety, then be considered as safety。
Step 6, operator are adjusted operation according to the dynamic trajectory image of suspension hook of display on terminating machine 4 and the alarm signal that receives on terminating machine 4。
It addition, in order to prevent high pedestal jib crane in rotary course, there is the situation of false alarm in alarm 6。When PLC control system device 5 collect suspension hook weighing-up wave or hoist signal time, the rotating signal of the jib of collection is sent in Internet of Things communicator 2 by PLC control system device 5, the weighing-up wave of this suspension hook, the signal that hoists are sent in Cloud Server 3 by Internet of Things communicator 2 again, Cloud Server 3 sends the control command starting suspension hook gesture detection means 1, the control command of this startup suspension hook gesture detection means 1 is transmitted thus being sent in suspension hook gesture detection means 1 through the network of Internet of Things communicator 2, thus suspension hook gesture detection means 1 starts work；
When the rotation of jib, PLC control system device 5 gathers the rotating signal of jib, and the rotating signal of the jib of collection is sent in Internet of Things communicator 2, the rotating signal of this jib is sent to server by Internet of Things communicator 2, and the data computation module 31 of Cloud Server 3 and image processing module 32 quit work until PLC control system device 5 collects the weighing-up wave of suspension hook or the signal that hoists。
Claims (7)
1. the suspension hook deflection monitoring system of a high pedestal jib crane, it is characterised in that including:
Suspension hook gesture detection means (1), is arranged on the suspension hook of high pedestal jib crane, and the dynamics data for the dynamic posture of described suspension hook detects and transmits；
Internet of Things communicator (2), is arranged in the electric panel room of high pedestal jib crane, for realizing the network transmission of data；
Cloud Server (3), is connected with the communication of described Internet of Things communicator (2), and described Cloud Server (3) has a data computation module (31) and calculates for the comparison at suspension hook angle of inclination；
Terminating machine (4), is arranged on the driver's cabin of high pedestal jib crane, is connected with described Cloud Server (3) communication, is used for obtaining the data that Cloud Server (3) transmits；
Described suspension hook gesture detection means (1) includes:
Sensor group (11), includes at least one motion sensor, for gathering the dynamic postural cue of suspension hook；
Wave filter (12), is connected with each motion sensor in described sensor group (11), for being filtered processing to the dynamic postural cue of the suspension hook that sensor group (11) gathers；
Microprocessor (13), is connected with described wave filter (12), for the dynamic postural cue computing of described suspension hook includes the dynamics data of the dynamic posture of suspension hook at suspension hook angle of inclination with acquisition；
GPS locating module (14), for gathering the position data of described suspension hook；
Wireless communication module (15), it is connected with described microprocessor (13) and GPS locating module (14), this wireless communication module (15) can also be connected with the communication of described Internet of Things communicator (2), for the position data of the dynamics data of the dynamic posture of Wireless transceiver suspension hook and suspension hook。
2. the suspension hook deflection monitoring system of high pedestal jib crane according to claim 1, it is characterised in that: described Cloud Server (3) has the image processing module (32) that the position data of the dynamics data of dynamic for suspension hook posture and suspension hook can carry out image conversion process。
3. the suspension hook deflection monitoring system of high pedestal jib crane according to claim 2, it is characterised in that: described terminating machine (4) has a display (41)。
4. the suspension hook deflection monitoring system of high pedestal jib crane according to claim 1, it is characterized in that: be additionally provided with the PLC control system device (5) of the weighing information that at least can gather high pedestal jib crane, the information that hoists, jib rotation information in the electric panel room of described high pedestal jib crane, described PLC control system device (5) is connected to realize PLC control system device (5) and gathers the transmission of information with described Internet of Things communicator (2)。
5. the high pedestal jib crane according to Claims 1 to 4 any claim suspension hook deflection monitoring system, it is characterised in that: described sensor group (11) include for detect suspension hook accelerate information 3-axis acceleration sensor, for detecting the three-axis gyroscope sensor of suspension hook rotating speed data and for detecting the geomagnetic sensor of suspension hook moving direction。
6. the suspension hook deflection monitoring system of high pedestal jib crane according to claim 1, it is characterised in that: described wave filter (12) is Kalman filter。
7. the suspension hook deflection monitoring system of high pedestal jib crane according to claim 1, it is characterized in that: being additionally provided with alarm (6) in the driver's cabin of described high pedestal jib crane, described alarm (6) is connected with described terminating machine (4)。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201521011325.6U CN205328472U (en) | 2015-12-08 | 2015-12-08 | Lifting hook incline monitoring system of high pedestal jib crane |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201521011325.6U CN205328472U (en) | 2015-12-08 | 2015-12-08 | Lifting hook incline monitoring system of high pedestal jib crane |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205328472U true CN205328472U (en) | 2016-06-22 |
Family
ID=56212171
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201521011325.6U Withdrawn - After Issue CN205328472U (en) | 2015-12-08 | 2015-12-08 | Lifting hook incline monitoring system of high pedestal jib crane |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205328472U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105366548A (en) * | 2015-12-08 | 2016-03-02 | 宁波正鼎电子科技有限公司 | System and method for monitoring lifting hook deflection of portal crane |
| CN108217460A (en) * | 2018-01-12 | 2018-06-29 | 湖南科技大学 | A kind of crane load space pivot angle real-time detecting system and method |
-
2015
- 2015-12-08 CN CN201521011325.6U patent/CN205328472U/en not_active Withdrawn - After Issue
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105366548A (en) * | 2015-12-08 | 2016-03-02 | 宁波正鼎电子科技有限公司 | System and method for monitoring lifting hook deflection of portal crane |
| CN108217460A (en) * | 2018-01-12 | 2018-06-29 | 湖南科技大学 | A kind of crane load space pivot angle real-time detecting system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105366548B (en) | System and method for monitoring lifting hook deflection of portal crane | |
| US9481554B2 (en) | Monitoring apparatus and control method of crane hoisting vertical deviation angle | |
| CN103395694B (en) | Integral monitoring system for tower crane | |
| CN103613014B (en) | Tower crane anti-collision system, method, device and tower crane | |
| US11932517B2 (en) | Crane and device for controlling same | |
| CN202808226U (en) | Intelligent safety monitoring system of tower crane | |
| WO2014201886A1 (en) | Method and device for monitoring hoisting swing angle, hoisted load, or hoisting posture, and crane | |
| CN109179228B (en) | Anti-collision system of building construction tower crane | |
| CN110271965B (en) | Tower crane robot | |
| CN104843585A (en) | Intelligent tower crane control system | |
| CN114604761B (en) | Control safety warning system and method for realizing intelligent tower crane assistance | |
| CN207390860U (en) | Building tower crane intelligent assistance system | |
| CN109993935A (en) | A kind of device and method of construction machinery positioning and its safety zone monitoring | |
| JP2011102167A (en) | Hanging load position monitoring system for crane, and hanging tool | |
| CN205328472U (en) | Lifting hook incline monitoring system of high pedestal jib crane | |
| CN111196561B (en) | Tower crane warning method, device and system | |
| CN207439401U (en) | A kind of electric power line pole tower construction work monitors system | |
| EP3960688A1 (en) | Crane inspection system and crane | |
| CN112607602A (en) | Video tracking device for tower crane hook | |
| CN114604773B (en) | Safety warning auxiliary system and method for intelligent tower crane | |
| CN115448185A (en) | Ultra-large intelligent tower crane and construction method | |
| CN103539027B (en) | A kind of Intelligent collision avoidance system for tower crane | |
| WO2018211489A1 (en) | A crane ground control operating system | |
| CN108975165A (en) | Tower crane monitoring system and method and tower crane | |
| CN108483262A (en) | A kind of tower crane and its control system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| AV01 | Patent right actively abandoned | ||
| AV01 | Patent right actively abandoned |
Granted publication date: 20160622 Effective date of abandoning: 20170517 |