Steel structure construction intelligent monitoring and early warning system and method based on Internet of Things

Abstract

The invention discloses a steel structure construction intelligent monitoring and early warning system and method based on the Internet of Things, and relates to the technical field of steel structure construction intelligent monitoring and early warning. Comprising a sensor device, a monitoring device, a threshold setting device, a general control platform and an early warning device which are in communication connection in sequence. According to the invention, a plurality of sensors are used for collecting data and analyzing the data, so that real-time nondestructive monitoring is carried out on the steel structure, an early warning signal can be triggered in time under emergencies or when the use condition of the structure is seriously abnormal, and a basis and guidance are provided for construction and management decision making of the structure.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring and early warning of steel structure construction, and in particular to an intelligent monitoring and early warning system and method for steel structure construction based on the Internet of Things. Background Art

[0002] With the development of building industrialization, steel structure buildings have shown strong vitality and application prospects with their characteristics of light weight, large usable space, high degree of industrialization, and beautiful appearance, and have gradually been widely used. As the level of social development continues to improve, people's demand for steel structures has also increased accordingly. More and more structural forms have emerged in an endless stream, and such structural forms often exceed the scope of existing steel structure-related specifications. Coupled with insufficient technical accumulation, the construction difficulty is increasing. Specifically, on the one hand, the construction process of steel structure itself is cumbersome, with many parallel and cross operations and high precision requirements; on the other hand, steel structure construction is greatly affected by the external environment, and the loads are random and diverse. Therefore, the construction process of steel structure is more prone to safety hazards such as human operation errors, component damage and bending, and insufficient safety supervision, which ultimately makes it more likely to cause safety accidents such as falling from heights and being hit by objects.

[0003] Once a safety accident occurs during the construction process, it will inevitably threaten the safety of people's lives and property, and cause huge losses in economic and social aspects. The occurrence of accidents is affected by multiple factors including management factors, environmental factors, etc., and the occurrence of risk factors has a chain transmission effect.

[0004] Large and complex steel structures are increasingly used in domestic public buildings. Practice has proved that large steel structures have the advantages of fast construction speed, high degree of mechanization, and obvious economic benefits. However, their stress is complex, and the emergence of new structural components and new processes makes their construction methods more complicated, and there are more uncertain factors in the construction process. At the same time, the stress state of the structure during construction may not be completely consistent with the design requirements. Therefore, it is necessary to monitor and warn the safety status of the structure during construction.

[0005] Therefore, it is an urgent problem for technical personnel in this field to propose an intelligent monitoring and early warning system and method for steel structure construction based on the Internet of Things to solve the difficulties existing in the prior art. Summary of the invention

[0006] In view of this, the present invention provides an intelligent monitoring and early warning system and method for steel structure construction based on the Internet of Things, which utilizes multiple sensors to collect and analyze data, thereby performing real-time non-destructive monitoring of the steel structure, which is conducive to timely triggering early warning signals in emergencies or when the structure is in serious abnormal conditions, thereby providing a basis and guidance for the construction and management decisions of the structure.

[0007] In order to achieve the above object, the present invention adopts the following technical solution:

[0008] An intelligent monitoring and early warning system for steel structure construction based on the Internet of Things, comprising: a sensor device, a monitoring device, a threshold setting device, a master control platform and an early warning device which are sequentially connected in communication; wherein,

[0009] Sensor equipment, used to collect real-time monitoring parameters of each monitoring object in the monitoring area;

[0010] Monitoring equipment, used to receive real-time monitoring parameters of each monitoring object collected by the sensor equipment;

[0011] Threshold setting device, used to set the threshold monitoring parameters of each monitoring object in the current monitoring area;

[0012] The master control platform is used to analyze and process the real-time monitoring parameters and threshold monitoring parameters on the data computing and storage server, output the early warning judgment results, and directly store the received real-time monitoring parameters and threshold monitoring parameters on the server;

[0013] The early warning device is used to issue early warnings to the monitored objects according to the early warning judgment results output by the master control platform.

[0014] In the above system, optionally, the sensor equipment includes a high-precision MEMS fiber grating sensor and an environmental sensor; the environmental sensor includes a water pressure sensor, a photoelectric sensor, a temperature and humidity sensor, a gas sensor, a smoke sensor and a wind speed sensor;

[0015] High-precision MEMS fiber grating sensors for sensing deformation and strain of steel structures;

[0016] Environmental sensors are used to sense changes in various parameters of the surrounding environment, convert them into electrical signals for processing and judgment, and realize real-time monitoring and analysis of the environment.

[0017] For the above system, the master control platform may be a Navisworks platform.

[0018] The above system optionally transmits the results of analysis and processing by the data computing and storage server to the early warning device in real time. When a parameter alarm occurs, the sound and light alarm function of the early warning device is activated and an alarm is sounded. At the same time, the operator communicates remotely with the technical staff of the master control platform to provide a solution.

[0019] The above system may optionally include a communication module for communicating with a mobile terminal inside the master control platform, which is used to send control instructions from the mobile terminal to the master control platform, and the master control platform controls the warning device to adjust / cancel the warning state.

[0020] The above system may optionally further include a graphical interface connected to the communication module, wherein the graphical interface is used to display the warning judgment result and the warning information.

[0021] An intelligent monitoring and early warning method for steel structure construction based on the Internet of Things, an intelligent monitoring and early warning system for steel structure construction based on the Internet of Things that implements any of the above, comprising the following steps:

[0022] S1. Construction begins, and the sensor equipment collects monitoring data of each monitoring object;

[0023] S2. Receive real-time monitoring parameters of each monitoring object collected by the sensor device;

[0024] S3. Set the threshold monitoring parameters for each monitored object in the current monitoring area;

[0025] S4. Analyze and process the real-time monitoring parameters and threshold monitoring parameters in the data computing and storage server, output the warning judgment results, and store the received real-time monitoring parameters and threshold monitoring parameters directly on the server;

[0026] S5. Issue an early warning to the monitored object based on the output early warning judgment result.

[0027] It can be seen from the above technical solution that, compared with the prior art, the present invention provides an intelligent monitoring and early warning system and method for steel structure construction based on the Internet of Things, which has the following beneficial effects: the present invention utilizes multiple sensors to collect and analyze data, thereby performing real-time non-destructive monitoring of steel structures, which is conducive to timely triggering early warning signals in emergencies or when the structure is in serious abnormal conditions, thereby providing a basis and guidance for the construction and management decisions of the structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0029] Figure 1 A structural block diagram of an intelligent monitoring and early warning system for steel structure construction based on the Internet of Things provided by the present invention;

[0030] Figure 2 A flow chart of an intelligent monitoring and early warning method for steel structure construction based on the Internet of Things provided by the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Reference Figure 1 As shown, the present invention discloses an intelligent monitoring and early warning system for steel structure construction based on the Internet of Things, including: a sensor device, a monitoring device, a threshold setting device, a master control platform and an early warning device that are sequentially connected in communication; wherein,

[0033] Sensor equipment, used to collect real-time monitoring parameters of each monitoring object in the monitoring area;

[0034] Monitoring equipment, used to receive real-time monitoring parameters of each monitoring object collected by the sensor equipment;

[0035] Threshold setting device, used to set the threshold monitoring parameters of each monitoring object in the current monitoring area;

[0036] The master control platform is used to analyze and process the real-time monitoring parameters and threshold monitoring parameters on the data computing and storage server, output the early warning judgment results, and directly store the received real-time monitoring parameters and threshold monitoring parameters on the server;

[0037] The early warning device is used to issue early warnings to the monitored objects according to the early warning judgment results output by the master control platform.

[0038] Furthermore, the sensor equipment includes high-precision MEMS fiber grating sensors and environmental sensors; the environmental sensors include water pressure sensors, photoelectric sensors, temperature and humidity sensors, gas sensors, smoke sensors and wind speed sensors;

[0039] High-precision MEMS fiber grating sensors for sensing deformation and strain of steel structures;

[0040] Environmental sensors are used to sense changes in various parameters of the surrounding environment, convert them into electrical signals for processing and judgment, and realize real-time monitoring and analysis of the environment.

[0041] Specifically, high-precision MEMS fiber grating sensors are installed at the end points and mid-span points of steel structure beams and columns, where stress and strain are concentrated or relative displacement exceeds beam length / 1100mm after finite element model analysis, to monitor the deflection, stress and inclination of the beams and columns of the building structure in real time;

[0042] Install water pressure sensors at each node of the water network; install photoelectric sensors at the main input node of the power grid and each subsystem subnode; install temperature and humidity sensors, gas sensors, and smoke sensors in a staggered arrangement inside the building; and install wind speed sensors at each corner of the building's exterior wall.

[0043] Furthermore, the master control platform is the Navisworks platform.

[0044] Furthermore, the results of the analysis and processing by the data computing and storage server are transmitted to the early warning device in real time. When a parameter alarm occurs, the sound and light alarm function of the early warning device is activated and an alarm is sounded. At the same time, the operator communicates remotely with the technical staff of the master control platform to provide a solution.

[0045] Specifically, the threshold setting device corresponds to alarm A, alarm B, alarm C, and alarm D respectively;

[0046] The real-time monitoring parameters and threshold monitoring parameters are determined as follows:

[0047] If the real-time monitoring parameter is greater than alarm A, a first-level warning will be issued directly;

[0048] If alarm A ≥ real-time monitoring parameters > alarm B, a second-level warning is issued;

[0049] If alarm B ≥ real-time monitoring parameters > alarm C, a level 3 warning is issued;

[0050] If alarm C ≥ real-time monitoring parameters > alarm D, a level 4 warning is issued;

[0051] The early warning results are connected to the expert system database to match solutions and assist technical personnel in solving problems.

[0052] Furthermore, a communication module for communicating with the mobile terminal is provided inside the master control platform, which is used to send the control instructions issued by the mobile terminal to the master control platform, and the master control platform controls the warning device to adjust / cancel the warning state.

[0053] Furthermore, it also includes a graphical interface connected to the communication module, and the graphical interface is used to display the warning judgment results and warning information.

[0054] In a specific embodiment, when construction begins, the technician remotely controls or controls the monitoring equipment on site, sets the acquisition frequency, data acquisition and other parameters of the sensor equipment, and issues instructions to start acquisition. The monitoring equipment collects the monitoring data from the sensor equipment, and organizes and summarizes the collected data; the high-precision MEMS fiber grating sensor collects the variable data such as the deformation and strain of the sensing steel structure and the environmental sensor senses the changes in various parameters of the surrounding environment, monitors, warns and adjusts the environmental variables; and visually reflects the real-time status of the steel structure. The results of the analysis and processing of the data calculation and storage server are transmitted to the graphical interface in real time for display. When the parameters are abnormal, the sound and light alarm function of the early warning device automatically starts the alarm, and warns the management personnel step by step. The technical experts and technicians of the master control platform communicate remotely and put forward solutions in time. After the risks and parameter abnormalities are eliminated, the early warning is eliminated, the sound and light alarm is automatically turned off, and the operation safety early warning is effectively carried out.

[0055] and Figure 1 Corresponding to the above system, the embodiment of the present invention also provides an intelligent monitoring and early warning method for steel structure construction based on the Internet of Things, the flow chart of which is as follows Figure 2 As shown, the specific steps include:

[0056] S1. Construction begins, and the sensor equipment collects monitoring data of each monitoring object;

[0057] S2. Receive real-time monitoring parameters of each monitoring object collected by the sensor device;

[0058] S3. Set the threshold monitoring parameters for each monitored object in the current monitoring area;

[0059] S4. Analyze and process the real-time monitoring parameters and threshold monitoring parameters in the data computing and storage server, output the warning judgment results, and store the received real-time monitoring parameters and threshold monitoring parameters directly on the server;

[0060] S5. Issue an early warning to the monitored object based on the output early warning judgment result.

[0061] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0062] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent monitoring and early warning system for steel structure construction based on the Internet of Things, characterized in that: include: Sensor equipment, monitoring equipment, threshold setting equipment, master control platform and early warning equipment are connected in sequence; among them, Sensor equipment, used to collect real-time monitoring parameters of each monitoring object in the monitoring area; Monitoring equipment, used to receive real-time monitoring parameters of each monitoring object collected by the sensor equipment; Threshold setting device, used to set the threshold monitoring parameters of each monitoring object in the current monitoring area; The master control platform is used to analyze and process the real-time monitoring parameters and threshold monitoring parameters on the data computing and storage server, output the early warning judgment results, and directly store the received real-time monitoring parameters and threshold monitoring parameters on the server; The early warning device is used to issue early warnings to the monitored objects according to the early warning judgment results output by the master control platform.

2. According to the IoT-based intelligent monitoring and early warning system for steel structure construction according to claim 1, it is characterized in that: Sensor equipment includes high-precision MEMS fiber grating sensors and environmental sensors; environmental sensors include water pressure sensors, photoelectric sensors, temperature and humidity sensors, gas sensors, smoke sensors and wind speed sensors; High-precision MEMS fiber grating sensors for sensing deformation and strain of steel structures; Environmental sensors are used to sense changes in various parameters of the surrounding environment, convert them into electrical signals for processing and judgment, and realize real-time monitoring and analysis of the environment.

3. According to the IoT-based intelligent monitoring and early warning system for steel structure construction according to claim 1, it is characterized in that: The overall control platform is Navisworks.

4. According to the IoT-based intelligent monitoring and early warning system for steel structure construction according to claim 1, it is characterized in that: The results of the data computing and storage server analysis and processing are transmitted to the early warning device in real time. When a parameter alarm occurs, the sound and light alarm function of the early warning device is activated and an alarm is sounded. At the same time, the operator communicates remotely with the technical staff of the master control platform to provide solutions.

5. According to the IoT-based intelligent monitoring and early warning system for steel structure construction according to claim 1, it is characterized in that: A communication module for communicating with the mobile terminal is provided inside the master control platform, which is used to send the control instructions issued by the mobile terminal to the master control platform, and the master control platform controls the early warning device to adjust / cancel the early warning state.

6. According to the IoT-based intelligent monitoring and early warning system for steel structure construction according to claim 5, it is characterized in that: It also includes a graphical interface connected to the communication module, and the graphical interface is used to display the early warning judgment results and early warning information.

7. An intelligent monitoring and early warning method for steel structure construction based on the Internet of Things, characterized in that: The implementation of an intelligent monitoring and early warning system for steel structure construction based on the Internet of Things as described in any one of claims 1 to 6 comprises the following steps: S1. Construction begins, and the sensor equipment collects monitoring data of each monitoring object; S2. Receive real-time monitoring parameters of each monitoring object collected by the sensor device; S3. Set the threshold monitoring parameters for each monitored object in the current monitoring area; S4. Analyze and process the real-time monitoring parameters and threshold monitoring parameters in the data computing and storage server, output the warning judgment results, and store the received real-time monitoring parameters and threshold monitoring parameters directly on the server; S5. Issue an early warning to the monitored object based on the output early warning judgment result.

Images