CN210505281U

CN210505281U - Tower crane auxiliary driving system based on internet of things

Info

Publication number: CN210505281U
Application number: CN201920980696.7U
Authority: CN
Inventors: 宋红景
Original assignee: China Railway Construction Group Co Ltd; Beijing Construction Technology Co Ltd of China Railway Construction Group Co Ltd
Current assignee: China Railway Construction Group Co Ltd; Beijing Construction Technology Co Ltd of China Railway Construction Group Co Ltd
Priority date: 2019-06-27
Filing date: 2019-06-27
Publication date: 2020-05-12
Anticipated expiration: 2029-06-27

Abstract

The utility model relates to a tower crane driver assistance system based on internet of things, including the driver's cabin, be equipped with driver assistance in the driver's cabin, driver assistance even has a plurality of cameras, a plurality of sensor, is equipped with singlechip and the acousto-optic control module interface, the relay control module interface that link to each other with the singlechip in the driver assistance, and acousto-optic control module interface even has the display screen, and relay control module interface even has the dolly power unit that becomes width of cloth. The utility model discloses can avoid the problem that driver assistance system function is single, sensitivity, reliability and adaptability are low.

Description

Tower crane auxiliary driving system based on internet of things

Technical Field

The utility model relates to a construction safety field particularly, relates to a tower crane driver assistance system based on internet of things.

Background

In building construction, the tower crane is an indispensable hoisting device. Safety accidents caused by high-risk operation are frequent, the accident occurrence rate is high, and huge life and property losses are caused. How to safely and efficiently carry out tower crane operation is one of the problems to be solved urgently in the industry.

At present, the traditional tower crane safety system in China has single function and lower intelligent level. The alarming device is realized by installing limit switches such as a torque limiter, an overload limiter, a position limiter, a wind speed indicator and the like on the tower crane. The method is low in flexibility, the values of various parameters of the tower crane in the running state cannot be displayed in real time, and data cannot be recorded and analyzed.

An effective solution to the problems in the related art has not been proposed yet.

SUMMERY OF THE UTILITY MODEL

To the above-mentioned technical problem among the correlation technique, the utility model provides a tower crane driver assistance system based on internet of things can avoid driver assistance system function singleness, problem that sensitivity, reliability and adaptability are low.

In order to achieve the technical purpose, the technical scheme of the utility model is realized as follows:

the utility model provides a tower crane driver assistance system based on internet of things, includes the driver's cabin, be equipped with driver assistance in the driver's cabin, driver assistance even has a plurality of cameras, a plurality of sensor, be equipped with the singlechip in the driver assistance and with acousto-optic control module interface, relay control module interface that the singlechip links to each other, acousto-optic control module interface even has the display screen, relay control module interface even has the dolly power unit that becomes width of cloth.

Preferably, the camera comprises a hemispherical camera, a gunlock camera and a spherical camera.

Preferably, the hemisphere camera is installed in the upper left corner of driver's cabin towards the tower department, the rifle bolt camera is installed in the intermediate position of balance arm, the spherical camera is installed in the intermediate position of davit.

Preferably, the hemisphere camera passes through wifi with the rifle bolt camera and is connected with the auxiliary pilot, the sphere camera passes through the net twine and is connected with the auxiliary pilot.

Preferably, videos obtained by the hemispherical camera, the gunlock camera and the spherical camera can be switched or moved to any position on the display screen through a touch screen.

Preferably, the sensors include a height sensor, an amplitude sensor, a wind speed sensor, a weight sensor, a gyration sensor, and a tilt sensor.

Preferably, the height sensor is arranged at the mechanical limit position of the hoisting winch, the amplitude sensor is arranged at the mechanical limit position of the amplitude winch, the wind speed sensor is arranged at the highest position of the tower cap, the weight sensor is arranged in the fixed pulley of the hoisting cable of the suspension arm, the rotation sensor is arranged at the multifunctional stroke limiter of the tower crane rotation mechanism, and the inclination sensor is arranged at the tower crane rotation mechanism.

Preferably, the auxiliary driving instrument is further connected with a black box.

Preferably, the driver assistance device transmits the sensor data to the black box in a 4G or Lora manner.

Preferably, the auxiliary pilot is further connected with a 4G module, and the 4G module is connected with a cloud platform.

The beneficial effects of the utility model.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a structural block diagram of a tower crane assistant driving system based on the internet of things technology according to the embodiment of the utility model.

Fig. 2 is a mounting position diagram of a tower crane assistant driving system based on internet of things technology according to the utility model discloses an embodiment.

In the figure: the device comprises a hemispherical camera 1, a height sensor 2, a lifting winch 3, a gunlock camera 4, an amplitude winch 5, an amplitude sensor 6, an air velocity sensor 7, a tower cap 8, a weight sensor 9, a spherical camera 10, a tower crane trolley 11, a lifting hook 12, a display screen 13, a cab 14, a rotation sensor 15, an inclination angle sensor 16, a tower crane rotation mechanism 17, an auxiliary driver 18, an acousto-optic control module interface 19, a relay control module interface 20, an amplitude trolley power mechanism 21, a 4G module 22, a cloud platform 23, a black box 24 and a single chip microcomputer 25.

Detailed Description

The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art all belong to the protection scope of the present invention.

As shown in fig. 1-2, according to the utility model discloses a tower crane driver assistance system based on internet of things, including driver's cabin 14, be equipped with driver assistance appearance 18 in the driver's cabin 14, driver assistance appearance 18 even has a plurality of cameras, a plurality of sensor, be equipped with singlechip 25 in driver assistance appearance 18 and with acousto-optic control module interface 19, relay control module interface 20 that singlechip 25 links to each other, acousto-optic control module interface 19 even has display screen 13, relay control module interface 20 even has and becomes width of cloth dolly power unit 21.

In the preferred embodiment, the cameras comprise a hemispherical camera 1, a gunlock camera 4 and a spherical camera 10. The hemisphere camera 1 is installed in the upper left corner towards the tower department of driver's cabin 14, makes things convenient for real time monitoring internal conditions. The gunlock camera 4 is arranged in the middle of the balance arm and monitors the running condition of the lifting winch 3 in real time. The spherical camera 10 is arranged in the middle of the suspension arm and monitors the position of the lifting hook 12, and can track the whole body in real time in a most clear manner.

In the preferred embodiment, the sensors include a height sensor 2, an amplitude sensor 6, a wind speed sensor 7, a weight sensor 9, a gyroscopic sensor 15, a tilt sensor 16. The height sensor 2 is arranged at the mechanical limit position of the hoisting winch 3 and records the ground clearance of the lifting hook 12 in real time. The amplitude sensor 6 is installed at the mechanical limit position of the amplitude winch 5 and records the telescopic amplitude of the tower crane trolley 11 in real time. The wind speed sensor 7 is arranged at the highest position of the tower cap 8 and used for recording real-time wind speed. And the weight sensor 9 is arranged in the fixed pulley of the lifting cable of the lifting arm and is used for acquiring the weight of the lifted object in real time. The rotation sensor 15 is installed at a multifunctional stroke limiter of a tower crane rotation mechanism 17 and records the rotation angle of the tower crane in real time. The inclination sensor 16 is installed at the position of a tower crane slewing mechanism 17 and detects the inclination of the tower crane in real time.

In the preferred embodiment, the auxiliary pilot 18 is further connected with a black box 24 and a 4G module 22, and the 4G module 22 is connected with a cloud platform 23.

In the preferred embodiment, the dome camera 1 and the bolt camera 4 transmit signals to the assistant driver 18 through wifi, and the dome camera 10 transmits signals to the assistant driver 18 through a network cable.

For the convenience of understanding the above technical solutions of the present invention, the above technical solutions of the present invention are explained in detail through specific use modes and working principles below.

In specific use, the data transmission of the six sensors is respectively communicated with the height sensor interface, the weight sensor interface, the amplitude sensor interface, the inclination angle sensor interface, the wind speed sensor interface and the revolution sensor interface of the assistant pilot 18 through network cables and transmitted to the display screen 13.

The six sensors transmit all acquired data information to the auxiliary pilot 18, the data information is transmitted to the display screen 13 in the cab 14 through the auxiliary pilot 18 in the first path, and videos of the three cameras can be switched or adjusted to any position at any time through a touch screen on the display screen 13, so that the tower crane can monitor various data of the tower crane in real time conveniently; the second path is transmitted to the construction site black box 24 to be used as a backup, so that construction site managers can conveniently check related data in real time; and the third path is transmitted to the cloud platform 23, so that powerful support is provided for project management.

A control mainboard is integrated in the auxiliary pilot 18, and the control mainboard integrates a single chip microcomputer, a 4G module, a Lora module, an acousto-optic control module and a relay control module into a whole, on one hand, the single chip microcomputer 25 transmits all signals of the sensor and the videos of the three cameras to the display screen 13 through programs; on the other hand, the data of each sensor is transmitted to the black box 24 by a 4G or Lora method; and also to the cloud platform 23 through the 4G module 22. When the sensor data on the interface of the display screen 13 exceeds the preset value, the singlechip 25 controls the light on the display screen to emit different colors and give out alarm sound through the acousto-optic control module interface 19; when the parameters exceed the highest level, the singlechip 25 cuts off the power supply of the amplitude-variable trolley power mechanism 21 through the relay control module interface 20, so that potential danger is avoided.

The above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The utility model provides a tower crane driver assistance system based on internet of things, includes driver's cabin (14), its characterized in that, be equipped with assistant pilot (18) in driver's cabin (14), assistant pilot (18) even have a plurality of cameras, a plurality of sensor, be equipped with singlechip (25) in assistant pilot (18) and with acousto-optic control module interface (19), relay control module interface (20) that singlechip (25) link to each other, acousto-optic control module interface (19) even have display screen (13), relay control module interface (20) even have and become width of cloth dolly power unit (21).

2. The tower crane assistant driving system based on the internet of things technology as claimed in claim 1, wherein the camera comprises a hemispherical camera (1), a gunlock camera (4) and a spherical camera (10).

3. The tower crane assistant driving system based on the internet of things technology is characterized in that the hemispherical camera (1) is installed at the upper left corner of the cab (14) facing the tower crane, the gunlock camera (4) is installed at the middle position of the balance arm, and the spherical camera (10) is installed at the middle position of the suspension arm.

4. The tower crane assistant driving system based on the Internet of things technology as claimed in claim 3, wherein the hemispherical camera (1) and the gunlock camera (4) are connected with the assistant driver (18) through wifi, and the spherical camera (10) is connected with the assistant driver (18) through a network cable.

5. The tower crane assistant driving system based on the internet of things technology as claimed in claim 4, wherein videos obtained by the hemispherical camera (1), the gunlock camera (4) and the spherical camera (10) can be switched or moved to any position on the display screen (13) through a touch screen.

6. The tower crane assistant driving system based on the internet of things technology as claimed in claim 1, wherein the sensors comprise a height sensor (2), an amplitude sensor (6), a wind speed sensor (7), a weight sensor (9), a gyration sensor (15) and an inclination sensor (16).

7. The tower crane assistant driving system based on the internet of things technology as claimed in claim 6, wherein the height sensor (2) is installed at a mechanical limit position of the lifting winch (3), the amplitude sensor (6) is installed at a mechanical limit position of the amplitude winch (5), the wind speed sensor (7) is installed at the highest position of the tower cap (8), the weight sensor (9) is installed in the fixed pulley of the lifting cable of the suspension arm, the rotation sensor (15) is installed at a multifunctional stroke limit position of the tower crane rotation mechanism (17), and the tilt sensor (16) is installed at the tower crane rotation mechanism (17).

8. The tower crane assistant driving system based on the internet of things technology as claimed in claim 1, wherein the assistant driving instrument (18) is further connected with a black box (24).

9. The tower crane assistant driving system based on the internet of things technology as claimed in claim 8, wherein the assistant driving instrument (18) transmits sensor data into the black box (24) in a 4G or Lora mode.

10. The tower crane assistant driving system based on the internet of things technology as claimed in claim 1, wherein the assistant driving instrument (18) is further connected with a 4G module (22), and the 4G module (22) is connected with a cloud platform (23).