CN216700332U

CN216700332U - Real-time intelligent monitoring system for climbing frame

Info

Publication number: CN216700332U
Application number: CN202123309534.7U
Authority: CN
Inventors: 尹宇华; 雷亮
Original assignee: China Construction Second Engineering Bureau Co Ltd
Current assignee: China Construction Second Engineering Bureau Co Ltd
Priority date: 2021-12-27
Filing date: 2021-12-27
Publication date: 2022-06-07
Anticipated expiration: 2031-12-27

Abstract

The utility model discloses a climbing frame real-time intelligent monitoring system which comprises a sensing layer, a transmission layer, a platform layer and an application layer which are in signal connection, wherein the sensing layer comprises a working condition sensor used for collecting perpendicularity information and real-time load information of a climbing frame body, the working condition sensor is connected to an Internet of things cloud platform of the platform layer through an NB-IOT network communicator of the transmission layer, the Internet of things cloud platform has remote storage, management and monitoring functions, the real-time state of the climbing frame is obtained through statistical analysis of data collected by the working condition sensor, when the climbing frame state is abnormal, the Internet of things cloud platform sends fault warning information to safety management personnel, constructors and related departments through a warning terminal of the application layer, and when the abnormal fault exceeds a warning threshold value, shutdown protection of the climbing frame is realized through an automatic controller. The utility model solves the problems of the conventional safety monitoring system by using the technology of the Internet of things such as sensing, knowing, using and the like, and reduces the potential safety hazard of climbing.

Description

Real-time intelligent monitoring system for climbing frame

Technical Field

The utility model relates to the technical field of climbing frame construction, in particular to a climbing frame real-time intelligent monitoring system.

Background

The attached lifting climbing frame is one of main devices for high-rise and super high-rise building construction, and has the property of climbing along the main body of an engineering structure, so that compared with the traditional climbing frame, the attached lifting climbing frame is simple and convenient to operate and lower in labor intensity of workers; the labor occupation is less, the material investment is less, the utilization rate is high, the material consumption rate is higher, and the project cost can be greatly reduced; the tower crane is not used in the construction process, the integral lifting is carried out once or for many times, and the construction progress is accelerated; the construction layer is closed, and civilized construction and other advantages can be promoted, so that the construction method is widely used in high-rise and super-high-rise building construction.

The construction of frame is climbed in the high altitude to the attached type lift, relies on the lifting machine to go up and down by oneself, has higher potential energy and risk factor, consequently the security of its use must receive high attention, but current safety monitoring system mostly uses manual monitoring as the main, has that intellectuality and degree of automation are not enough and can't realize remote monitoring's problem.

SUMMERY OF THE UTILITY MODEL

The utility model aims to provide a real-time intelligent monitoring system for a climbing frame, which aims to solve the technical problem.

In order to achieve the technical purpose, the utility model adopts the following technical scheme:

the utility model provides a climb a real-time intelligent monitoring system, includes signal connection's perception layer, transmission layer, platform layer and application layer, the perception layer is including the operating mode sensor that is used for gathering climbing a support body straightness information and real-time load information, the operating mode sensor passes through the NB-IOT network communicator on transmission layer and inserts the thing networking cloud platform on platform layer, thing networking cloud platform has remote storage, management and monitoring function, and it carries out statistical analysis through the data to operating mode sensor collection and acquires the real-time condition of climbing a frame, and when climbing a state is unusual, thing networking cloud platform reports an emergency and asks for help or increased vigilance information transmission to safety control personnel, constructor and relevant departments through the terminal of reporting an emergency and ask for help or increased vigilance of application layer to when unusual trouble surpasss the alarm threshold value, realize climbing a shutdown protection of frame through automatic control.

Preferably, the working condition sensor comprises a load sensor and a displacement sensor, the load sensor is a CSF-BH plate ring weighing sensor, a plurality of groups of CSF-BH plate ring weighing sensors are respectively installed at connecting points of each wall-attached support and the main structure, the displacement sensor is correspondingly arranged on each wall-attached support and used for measuring the horizontal distance between the climbing frame guide rail at the corresponding position and the outer vertical surface of the main structure, and the internet of things cloud platform calculates the verticality of the climbing frame according to the horizontal distance measured by each displacement sensor.

Preferably, the alarm terminal comprises a PC client and a mobile phone APP.

Preferably, the internet of things cloud platform classifies real-time loads in the process of lifting the climbing frame according to the degree of exceeding the limit loads, the real-time loads are displayed in different colors in the warning information of the warning terminal correspondingly, and a warning mechanism, a warning threshold value and a data reporting mechanism which are arranged in the internet of things cloud platform can be configured according to specific construction projects.

Preferably, the internet of things cloud platform pushes the warning information of the abnormal state of the climbing frame to safety management personnel, constructors and relevant departments in real time in a grading and permission mode through telephone, short message and warning terminal information reminding.

Preferably, the NB-IOT network communicator is connected to the operating condition sensor signal, an internal circuit board thereof includes an MCU, an AC/DC conversion module, a sensor signal processing module and an NB-IOT communication module, and a circuit of the sensor signal processing module includes a precise weak signal amplifying circuit and a 24-bit sigma-delta ADC, and is capable of amplifying and collecting the sensor signal.

Compared with the prior art, the utility model has the beneficial effects that:

1. according to the utility model, the working condition sensor is used for collecting the load and perpendicularity data of the climbing frame, the collected data signals are transmitted to the Internet of things cloud platform through the NB-LOT network, the cloud platform is used for reminding safety management personnel and constructors through the PC end and the mobile end APP after analysis and processing, the problems of insufficient intelligent and automatic degrees and incapability of realizing remote monitoring of a conventional safety monitoring system are solved, and the potential safety hazard of the climbing frame is reduced;

2. the intelligent monitoring system for the climbing frame is based on an NB-IoT (NB-IoT) Internet of things technology, monitors dynamic operation states of various Internet of things devices for 24 hours all the day by adopting perceptive, interconnected and intelligent means, transmits the monitored data to the Internet of things cloud platform in real time, when early warning information is monitored, the platform can be pushed to managers, constructors and relevant departments in a graded and weighted manner in real time in multiple modes such as telephone, short message and mobile terminal, and the technologies such as sensing, knowing and using Internet of things are utilized to integrate RFID (radio frequency identification device), wireless sensing and the like, so that information support is provided for automatic and intelligent monitoring of the climbing frame.

Drawings

The above and/or other aspects and advantages of the present invention will become more apparent and more readily appreciated from the detailed description taken in conjunction with the following drawings, which are meant to be illustrative, not limiting of the utility model, and in which:

FIG. 1 is a system architecture diagram of the present invention;

fig. 2 is a schematic structural diagram of the present invention.

Reference numerals: the system comprises an Internet of things cloud platform, a 2-working condition sensor, a 21-load sensor, a 22-displacement sensor, a 3-NB-IOT network communicator, a 4-automatic controller, a 5-warning terminal, a 6-climbing frame, a 7-wall-attached support and an 8-main body structure.

Detailed Description

Hereinafter, an embodiment of a rack-climbing real-time intelligent monitoring system of the present invention will be described with reference to the accompanying drawings. The embodiments described herein are specific embodiments of the present invention, and are intended to be illustrative and exemplary of the concepts of the present invention and should not be construed as limiting the scope of the embodiments of the present invention. In addition to the embodiments described herein, those skilled in the art will be able to employ other technical solutions which are obvious based on the disclosure of the claims and the specification of the present application, and these technical solutions include technical solutions which make any obvious replacement or modification for the embodiments described herein.

In the description of the present invention, it should be noted that the terms "inside", "outside", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and operate, and thus, should not be construed as limiting the present invention.

The drawings in the present specification are schematic views to assist in explaining the concept of the present invention, and schematically show the shapes of respective portions and their mutual relationships. It is noted that the drawings are not necessarily to the same scale so as to clearly illustrate the structures of the various elements of the embodiments of the utility model. Like reference numerals are used to denote like parts.

The principles and features of this invention are described below in conjunction with the following drawings, which are set forth to illustrate, but are not to be construed to limit the scope of the utility model. Preferred embodiments of the present invention are described in further detail below with reference to FIGS. 1-2:

as shown in fig. 1, the preferred real-time intelligent monitoring system for the climbing frame comprises a sensing layer, a transmission layer, a platform layer and an application layer which are in signal connection, wherein the sensing layer comprises a working condition sensor 2 for collecting perpendicularity information and real-time load information of a frame body of the climbing frame 6, the working condition sensor 2 is connected to an internet of things cloud platform 1 of the platform layer through an NB-IOT network communicator 3 of the transmission layer, the internet of things cloud platform 1 has remote storage, management and monitoring functions, the real-time state of the climbing frame 6 is obtained through statistical analysis of data collected by the working condition sensor 2, and when the state of the climbing frame 6 is abnormal, the internet of things cloud platform 1 pushes fault alarm information to safety managers in a grading and right-dividing manner in real time through multiple modes such as telephone, short message and alarm terminal 5 information reminding and the like through an alarm terminal 5 of the application layer, The shutdown protection of the climbing frame 6 is realized by constructors and relevant departments through the automatic controller 4 when the abnormal fault exceeds an alarm threshold value, and in order to improve the universality of the system, an alarm mechanism, an alarm threshold value and a data reporting mechanism which are arranged in the Internet of things cloud platform 1 can be specifically and individually configured according to specific construction projects;

as shown in fig. 2, the working condition sensor 2 includes a load sensor 21 and a displacement sensor 22, the load sensor 21 is a CSF-BH plate ring weighing sensor, a plurality of sets of CSF-BH plate ring weighing sensors are respectively installed at the connecting point of each wall-attached support 7 and the main structure 8, the internet of things cloud platform 1 classifies the real-time load of the climbing frame 6 during the lifting process according to the degree of exceeding the limit load, and displays the real-time load in different colors in the warning information of the warning terminal 5, for example, dynamic load warning and shutdown protection are respectively performed when the real-time load exceeds 15% and 30% of the limit load during the whole lifting process of the climbing frame 6;

the displacement sensors 22 are correspondingly arranged on the wall-attached supports 7 and used for measuring the horizontal distance between the guide rail of the climbing frame 6 at the corresponding position and the outer vertical surface of the main structure 8, and the perpendicularity of the climbing frame 6 is calculated by the internet of things cloud platform 1 according to the horizontal distance measured by each displacement sensor 22;

the warning terminal 5 comprises a PC client and a mobile phone APP, the NB-IOT network communicator 3 is in signal connection with the working condition sensor 2, an internal circuit board of the NB-IOT network communicator comprises an MCU, an AC/DC conversion module, a sensor signal processing module and an NB-IOT communication module, the conversion efficiency of the AC/DC conversion module can reach more than 95%, a circuit of the sensor signal processing module comprises a precise weak signal amplifying circuit and a 24-bit sigma-delta ADC, the sensor signal can be amplified and collected, the MCU (micro control unit) adopts a chip with an ARM Cortex-M3 kernel, the main frequency can reach 72MHz, and an NB-IoT communication mode adopted by the NB-IOT communication module is an innovative technology and supports the advantages of mass connection, deep coverage, low power consumption, low cost and the like.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the utility model, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

1. The utility model provides a climb a real-time intelligent monitoring system which characterized in that: comprises a sensing layer, a transmission layer, a platform layer and an application layer which are connected by signals, wherein the sensing layer comprises a working condition sensor (2) for collecting the verticality information and the real-time load information of a climbing frame (6), the working condition sensor (2) is connected to the Internet of things cloud platform (1) of the platform layer through an NB-IOT network communicator (3) of the transmission layer, the Internet of things cloud platform (1) has the functions of remote storage, management and monitoring, the real-time state of the climbing frame (6) is obtained by carrying out statistical analysis on the data collected by the working condition sensor (2), when the state of the climbing frame (6) is abnormal, the Internet of things cloud platform (1) sends fault alarm information to safety management personnel, constructors and relevant departments through the alarm terminal (5) of the application layer, and when the abnormal fault exceeds the alarm threshold value, the automatic controller (4) realizes the shutdown protection of the climbing frame (6).

2. The real-time intelligent monitoring system for the climbing frame according to claim 1, characterized in that: the working condition sensor (2) comprises a load sensor (21) and a displacement sensor (22), wherein the load sensor (21) selects a CSF-BH plate ring weighing sensor, a plurality of groups of CSF-BH plate ring weighing sensors are respectively installed at connecting points of each wall-attached support (7) and the main structure (8), the displacement sensor (22) is correspondingly arranged on each wall-attached support (7) and used for measuring the horizontal distance between a guide rail of a climbing frame (6) corresponding to the position and the outer vertical surface of the main structure (8), and the Internet of things cloud platform (1) calculates the verticality of the climbing frame (6) according to the horizontal distance measured by each displacement sensor (22).

3. The real-time intelligent monitoring system of claim 1, characterized in that: the warning terminal (5) comprises a PC client and a mobile phone APP.