Construction safety intelligent monitoring robot

Abstract

The utility model discloses a construction safety intelligent monitoring robot, which relates to the field of construction safety monitoring and comprises a mobile carrying platform, a detection hardware module and a data transmission and storage module, the detection hardware module comprises fire behavior detection equipment, a combustible gas sensor, a hydrogen sulfide sensor, a carbon monoxide sensor, an oxygen sensor, a benzene sensor and a wind speed sensor; and the data transmission and storage module is used for storing various detection data of the detection hardware module and uploading the detection data to the cloud. The construction safety in a complex scene of a construction site is intelligently monitored by using a multi-aspect detection hardware module, and particularly the construction safety in a limited space is monitored.

Description

Technical Field

[0001] The utility model relates to the field of construction safety monitoring, in particular to a construction safety intelligent monitoring robot. Background Technique

[0002] The construction industry has always been one of the important pillar industries of the national economy in China. With the gradual increase in the scale and quantity of construction sites across the country, the total number of safety accidents at the construction sites has also increased accordingly, and the issues of construction safety and construction civilization have brought many pressures to society. Intelligent monitoring of construction safety in complex construction site scenarios is an urgent problem to be solved at present, especially the safety monitoring of construction hot work operations and the safety monitoring of confined space operations. Therefore, it is necessary to have a more comprehensive understanding of the construction environment in complex construction site scenarios. In this regard, the utility model proposes a construction safety intelligent monitoring robot for comprehensive information collection. Content of the Utility Model

[0003] The purpose of the utility model is to provide a construction safety intelligent monitoring robot, which can realize more comprehensive information collection of the construction safety environment in complex construction site scenarios. Through the design of intelligent monitoring devices, intelligent automated monitoring of information can be realized, especially the intelligent automated monitoring of information security for construction hot work operations and the intelligent automated monitoring of information security for confined space operations.

[0004] To achieve the above object, the utility model provides the following solution:

[0005] A construction safety intelligent monitoring robot, the construction safety intelligent monitoring robot includes: a mobile carrier platform, a detection hardware module and a data transmission and storage module arranged on the mobile carrier platform;

[0006] The detection hardware module includes a fire detection device, a combustible gas sensor, a hydrogen sulfide sensor, a carbon monoxide sensor, an oxygen sensor, a benzene sensor and a wind speed sensor;

[0007] The data transmission and storage module is used to store the detection data of the detection hardware module and upload the detection data to the cloud.

[0008] Optionally, the detection hardware module further includes a PM2.5 + TVOC sensor.

[0009] Optionally, the fire detection device adopts a thermal imaging camera; the thermal imaging camera is arranged above the top plate of the mobile carrier platform.

[0010] Optionally, the fire detection device, the combustible gas sensor, the hydrogen sulfide sensor, the carbon monoxide sensor, the oxygen sensor, and the benzene sensor are disposed on the front of the mobile carrier platform; the front refers to one side of the moving direction of the mobile carrier platform.

[0011] Optionally, the mobile carrier platform adopts a ROS intelligent vehicle; a lidar, a depth camera, and a microprocessor are further provided on the ROS intelligent vehicle.

[0012] Optionally, the data transmission and storage module includes a hard disk storage, a network router, and an edge computing gateway;

[0013] The hard disk storage is used to store the detection data of the detection hardware module;

[0014] The edge computing gateway and the network router are used to build a 4G network system to provide network support for the detection hardware module and transmit the detection data to the cloud.

[0015] Optionally, the construction safety intelligent monitoring robot further includes an energy module; the energy module is used to supply power to the detection hardware module and the mobile carrier platform.

[0016] According to the specific embodiments provided by the present invention, the following technical effects are disclosed by the present invention:

[0017] The present invention provides a construction safety intelligent monitoring robot, which includes: a ROS intelligent vehicle, a detection hardware module and a data transmission and storage module disposed on the ROS intelligent vehicle; the detection hardware module includes a fire detection device, a combustible gas sensor, a hydrogen sulfide sensor, a carbon monoxide sensor, an oxygen sensor, a benzene sensor, and a wind speed sensor. The construction safety factors in the complex construction site scenarios are comprehensively and intelligently monitored by using the detection hardware module in multiple aspects, especially the construction safety factor monitoring of construction hot work operations and the construction safety factor monitoring of confined space operations, so as to obtain more comprehensive detection data. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0019] Figure 1 It is a schematic structural diagram of a construction safety intelligent monitoring robot provided in Embodiment 1 of the present invention;

[0020] Figure 2 Schematic diagram of the ROS robot structure provided by Embodiment 1 of the present utility model. Specific implementation manners

[0021] Next, the technical solutions in the embodiments of the present utility model will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present utility model. Obviously, the described embodiments are only a part of the embodiments of the present utility model, rather than all the embodiments. Based on the embodiments in the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present utility model.

[0022] The purpose of the present utility model is to provide a construction safety intelligent monitoring robot, which can realize the collection of more comprehensive information on the construction safety environment in complex construction site scenarios. Through the design of intelligent monitoring devices, intelligent and automated monitoring of information can be realized, especially for the intelligent and automated monitoring of information security for construction hot work operations and the intelligent and automated monitoring of information security for confined space operations.

[0023] Among them, a confined space refers to a space that is enclosed or partially enclosed, with restricted access but where personnel can enter, not designed as a fixed workplace, with poor ventilation, and prone to the accumulation of toxic, harmful, flammable, and explosive substances or insufficient oxygen content. Confined spaces generally have the following characteristics:

[0024] (1) Limited space, relatively isolated from the outside. A confined space is a tangible space that is relatively isolated from the outside. A confined space can be completely enclosed, such as various inspection wells and reaction vessels, or partially enclosed, such as an open sewage treatment tank, etc.

[0025] (2) Restricted access or inconvenient entry and exit, but personnel can enter to carry out relevant work. Due to the volume, shape, and structure of the confined space itself, the access and exit are generally different from the conventional personnel access channels, mostly relatively narrow, such as a wellhead with a diameter of 80 cm or a manhole with a diameter of 60 cm; or the setting of the access and exit is not convenient for personnel to enter and exit, such as various open tanks. Although the access and exit are restricted or inconvenient, personnel can enter to carry out work. If the opening size or space volume is not sufficient for people to enter, it does not belong to a confined space, such as a storage tank with only an observation hole, a distribution box installed on the wall, etc.

[0026] (3) Not designed as a fixed workplace, and personnel only enter the confined space for temporary work when necessary. The confined space is not designed in accordance with the corresponding standards and specifications of a fixed workplace, considering requirements such as lighting, ventilation, and fresh air volume. After completion, the internal gas environment cannot ensure compliance with safety requirements, and personnel only enter for temporary work when necessary.

[0027] (4) Poor ventilation can easily lead to the accumulation of toxic, harmful, flammable, and explosive substances or insufficient oxygen content. Due to being enclosed or partially enclosed, with restricted entrances and exits and not designed as a fixed workplace, the ventilation inside a confined space is poor, making it easy for toxic, harmful, flammable, and explosive substances to accumulate or for the oxygen content to be insufficient, resulting in risks of poisoning, combustion, explosion, and hypoxia.

[0028] To make the above objects, features, and advantages of the present utility model more obvious and understandable, the present utility model will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0029] Embodiment

[0030] As Figure 1 and Figure 2 shown, this embodiment provides a construction safety intelligent monitoring robot, including: a detection hardware module and a data transmission and storage module provided on the mobile carrier platform.

[0031] Among them, the mobile carrier platform uses a ROS intelligent vehicle. A lidar, a depth camera, and a microprocessor are also provided on the ROS intelligent vehicle.

[0032] ROS originally originated from the cooperation between the artificial intelligence laboratory project at Stanford University in 2007 and the personal robot project of the robotics company Willow Garage. ROS is a computer operating system architecture designed specifically for robot software development. It is an open-source meta-level operating system (post-operating system) that provides services similar to an operating system, including hardware abstraction description, underlying driver management, execution of common functions, inter-process message passing, program distribution package management. It also provides some tools and libraries for obtaining, building, writing, and executing multi-robot integration programs. The development of ROS software has always adopted the open BSD protocol and has gradually become a widely used platform in the field of robotics research. In the present utility model, the Bingda robot Panda-4WD chassis is used as the carrier platform of the Jianke intelligent robot. With the chassis structure parameters shown in Table 1, combined with the Bingda VP300 lidar (Table 2), the Astra S depth camera (Table 3), and the RaspberryPi 4B microprocessor (Table 4, corresponding to Figure 2 the Raspberry host in) to form a ROS intelligent robot. The lidar, depth camera, and microprocessor can form an intelligent module, specifically referred to as an obstacle avoidance and navigation module.

[0033] Table 1 Chassis structure parameters

[0034]

[0035]

[0036] Table 2 LiDAR Parameters

[0037] LiDAR Model VP300 Measurement Radius 0.1 - 50 m Measurement Frequency 10 - 30 Hz (Controllable) Sampling Frequency 6W points / second Motor Control Intelligent Start - Stop Brushless Motor Measurement Accuracy ±3 cm Ranging Principle TOF Method Outdoor Usability Resistant to Strong Light

[0038] Table 3 Depth Camera Parameters

[0039] Name Depth Camera AstraS Working Range 0.2-6m Accuracy 1m ± 3mm Color Map Resolution 1280*960 7fps Depth Map Resolution 1280*1024 7fps Color Field of View H63.1°*V49.4° Depth Field of View H58.4°*V45.5°

[0040] Table 4 Microprocessor Parameters

[0041] Name RaspberryPi4B soc Broadcom BCM2711 CPU 64 - bit 1.5GHz Quad - Core (28nm Process GPU Broadcom VideoCore Vl @ 500MHz Bluetooth Bluetooth 5.0 USB Interface USB2.0*2 / USB3.0*2 HDMI microHDMI*2 Support 4K50 Power Supply Interface TypeC(5V3A) Wifi Network 802.11AC Wireless 2.4GHz / 5GHz Dual - Band Wifi Wired Network True Gigabit Ethernet (Network Port Available) Ethernet Poe Powered by Additional HAT Ethernet (Poe)

[0042] The Panda-4WD chassis uses four-wheel drive with large-torque motors to provide strong power. It has four-wheel independent suspension, strong climbing ability (slope ≤ 25°), and strong obstacle-crossing ability (≤ 15 cm horizontally, 5 cm vertically), and can adapt to most construction sites after the site is hardened. It has a strong load-bearing capacity (30KG) and great potential for user modification. Its body size is smaller than that of an adult, and it has a small turning radius, which is more conducive to operating in narrow spaces than personnel. Aluminum profiles are used as the upper additional frame, and aluminum alloy plates and acrylic plates are used as the top shell and side shell respectively to achieve lightweight and low manufacturing costs.

[0043] The lower computer uses STM32 to control the underlying motors (Panda-4WD chassis); the upper computer uses RaspberryPi 4B to be responsible for running ROS, driving the depth camera and LiDAR, and completing tasks such as map building navigation processing and image recognition; the upper and lower computers use serial communication.

[0044] The platform supports ROS1 (ubuntu18.04, ubuntu20.04), ROS2 (ubuntu20.04), and both the underlying code and the upper-layer code are completely open-source. It supports LiDAR mapping algorithms such as Cartographer, gmapping, hector, and karto, global navigation algorithms such as A* and DJ, and path planning algorithms such as DWA and TEB. When using a camera, ORBSLAM can be used for visual SLAM mapping and applications. When using a depth camera and a stereo camera, RTAB-MAP can be used for 3D visual mapping and navigation. All of the above algorithms are adapted and completely open-source, and more functions can be further realized through in-depth learning and secondary development in the future.

[0045] The ROS smart car is used to start the RGBD camera and acquire images, use the depth camera to realize laser radar mapping and navigation, face detection based on OpenCV, laser radar SLAM navigation and obstacle avoidance functions. Using the APP developed by the ROS platform supplier, you can remotely connect and control the robot movement and view real-time images on the PC and mobile phone. In actual use at the construction site, the intelligent robot can bypass obstacles through the laser radar and depth camera during driving, and compose according to the collected sensor data, move back and forth repeatedly to merge and correct the dynamic local map, and finally generate a complete site model. The functions realized by the laser radar, depth camera and microprocessor are the functions of the ROS smart car itself. The robot in this solution directly uses this built-in function, which is mainly used for path navigation and obstacle avoidance when collecting data. The backstage staff can control the car to move to any point on the map, and can also measure the distance between any two points.

[0046] The detection hardware module (ie monitoring module) includes fire detection equipment, combustible gas sensors, hydrogen sulfide sensors, carbon monoxide sensors, oxygen sensors, benzene sensors and wind speed sensors. Optionally, a PM2.5+TVOC sensor may be further introduced.

[0047] Among them, the fire detection equipment uses a thermal camera. The thermal camera is fixed on the top plate of the trolley bracket and a special aluminum alloy bracket is set up. The entire thermal camera is exposed outside the body shell. The height of the ball camera head from the ground is about 1.1 meters, which is the highest equipment in the entire robot, thus ensuring that the camera's line of sight is not blocked.

[0048] The combustible gas sensor, carbon monoxide sensor, benzene sensor, oxygen sensor, and hydrogen sulfide sensor are all fixed on the front of the car, and the sensing end extends out of the car body through the reserved hole to directly contact the outside air. The height from the ground is about 0.5 meters, which is within the height of the human breathing zone (for example, about 0.5-1.5 meters).

[0049] Since the PM2.5 & TVOC sensor has sensing ends on both the front and back sides, it needs to be placed in a position where air can flow freely. Therefore, it is fixed at the bottom row of the trolley bracket that is not closed by the outer shell to facilitate air to pass through both the front and back sides.

[0050] The wind speed sensor is placed on the top plate of the trolley bracket and exposed outside the vehicle body shell to facilitate monitoring of the wind speed in the external environment. The height from the ground is about 0.8 meters, which is within the height of the human breathing zone.

[0051] The thermal imaging camera equipment selected is Hikvision's thermal imaging dual-spectrum surveillance camera, model DS-2TD12AGT-6 / WY hemispherical camera (or DS-2TD4228T-10 / W / TGS dome camera). This product is a new type of thermal imaging network camera that integrates network remote monitoring functions, video server functions and high-definition camera engineering. The hemispherical camera has a built-in high-sensitivity infrared detector and adopts advanced passive infrared imaging technology. When used in bad weather such as rain and fog, it has the characteristics of long detection distance and easy detection of hidden targets. It is not affected by the lighting environment and can obtain rich image information in environments such as no light and backlight, and can achieve 24-hour monitoring. The camera can realize intelligent detection functions such as temperature measurement, behavior analysis, fireworks detection, smoking detection, and fire point detection. The smoking detection range of the hemispherical camera is about 9 meters, the effective distance of fire point detection is about 100 meters, the effective distance of intrusion alarm in the area is about 42 meters, and the farthest distance covered by the infrared detection equipment is 15 meters; the spherical camera in the same series of products has a wider coverage range, and the farthest detection distance of the fire point can reach 600 meters. However, the temperature measurement accuracy of spherical cameras is lower than that of hemispherical cameras.

[0052] Table 5 Thermal imaging dual spectrum surveillance camera function parameter comparison table

[0053]

[0054] The camera can be used to realize intelligent identification and monitoring of sudden fires and smoking on site, automatically capture on-site images (visible light and infrared light imaging) and transmit them to the platform instantly through the network, and issue prompts or alarms through the platform at the first time. The camera supports real-time video streaming transmission. Project supervisors can remotely control the camera and mobile car through the platform to monitor the on-site operation without blind spots; the camera's built-in audio input and output functions can be used to give verbal warnings and alarm signals to on-site construction personnel in real time. Combined with RFID supporting equipment, it can comprehensively judge whether there are illegal hot work phenomena in places with high fire hazards such as hot work areas, whether the use of oxygen cylinders and acetylene cylinders meets the requirements, and whether the safety management personnel of the construction unit are on duty during hot work. Compared with traditional on-site supervision methods, it greatly reduces labor costs and improves the accuracy and continuity of hot work monitoring; the acquisition and retention of evidence are intelligent and convenient, so that the supervision work has a basis to rely on.

[0055] The combustible gas sensor has a built-in high-precision electrochemical sensor, which outputs the gas concentration signal as a digital signal through the circuit to accurately measure the total content of combustible gas (natural gas, liquefied petroleum gas, gas, coal gas, biogas) in the air. It has the characteristics of strong anti-interference ability, high sensitivity, high resolution, small size and easy installation.

[0056] Table 6 Main functions and parameters of combustible gas sensors

[0057]

[0058]

[0059] The hydrogen sulfide gas sensor is built-in with a high-precision electrochemical sensor, and through the circuit, the gas concentration signal is output as a digital signal to achieve accurate measurement of hydrogen sulfide gas. It has the characteristics of strong anti-interference ability, high sensitivity, high resolution, and fast response speed.

[0060] Table 7 Main functions and parameters of the hydrogen sulfide sensor

[0061]

[0062] The carbon monoxide gas sensor is built-in with a high-precision electrochemical sensor, and through the circuit, the gas concentration signal is output as a digital signal to achieve accurate measurement of carbon monoxide gas. It has the characteristics of strong anti-interference ability, high sensitivity, high resolution, and fast response speed.

[0063] Table 8 Main functions and parameters of the carbon monoxide sensor

[0064]

[0065]

[0066] The oxygen sensor is built-in with a high-precision electrochemical sensor, and through the circuit, the gas concentration signal is output as a digital signal to achieve accurate measurement of oxygen gas. It has the characteristics of strong anti-interference ability, high sensitivity, high resolution, and fast response speed.

[0067] Table 9 Main functions and parameters of the oxygen sensor

[0068]

[0069] The benzene sensor is built-in with a high-precision electrochemical sensor, and through the circuit, the gas concentration signal is output as a digital signal to achieve accurate measurement of benzene gas. It has the characteristics of strong anti-interference ability, high sensitivity, high resolution, and fast response speed.

[0070] Table 10 Main functions and parameters of the benzene sensor

[0071]

[0072] The above-mentioned gas sensors (combustible gas sensors, carbon monoxide sensors, benzene sensors, oxygen sensors, hydrogen sulfide sensors) can be used with intelligent robots to enter environments with high safety hazards, small spaces, and polluted air to monitor the specified gas concentration for a long time, and transmit it to the platform through the network to form a time period of monitoring to judge and evaluate the changes in gas quality. Combined with the threshold set in the background, the platform automatically issues prompts or alarms. Supervisors can view historical data and historical alarms in the background; they can also adjust the transmission frequency of the data sent back by the sensor, speed up the frequency when entering a high-risk or key monitoring environment, and reduce the amount of data sent back in a low-risk environment, so as to achieve targeted results. The use of gas sensors has greatly reduced the difficulty and risk of air quality supervision for managers. It is more flexible and convenient than traditional on-site measurement equipment, and can more comprehensively and thoroughly monitor corners and small spaces that were difficult to measure in the past. This type of gas sensor is easy to plug and unplug, and can easily replace other similar gas sensors. In the future, it can be flexible according to more different needs; the advantages of light weight and low power consumption also enable it to fix more similar sensors on the current carrier platform at the same time, which has great potential.

[0073] PM2.5 refers to particles in the atmosphere with an aerodynamic equivalent diameter of less than or equal to 2.5 microns, also known as respirable particles; TVOC is the abbreviation of "Total Volatile Organic Compounds". The PM2.5+TVOC sensor uses the Mie scattering method to analyze particle concentration. When particles pass through the light beam, scattering occurs. The light intensity signal of the scattered light is collected and converted into a digital signal. The mass concentration of the equivalent particle size per unit volume is obtained through the built-in algorithm, realizing accurate measurement of PM2.5 and TVOC. It has the characteristics of strong anti-interference ability, high sensitivity, stable data and easy installation.

[0074] Table 11 Main functions and parameters of PM2.5+TVOC sensor

[0075]

[0076]

[0077] The wind speed sensor uses the JXBS-3001-FS series wind speed sensor, which is compact and light. The shell is made of high-quality aluminum alloy profiles, and the exterior is electroplated and sprayed with plastic. It has good anti-corrosion and anti-erosion characteristics, which can ensure that the instrument will not rust during long-term use. At the same time, the smooth internal bearing system ensures the accuracy of information collection.

[0078] Table 12 Main functions and parameters of wind speed sensor

[0079] Detection Items Wind Speed Wind Speed Measurement Range 0 - 30 m / s Wind Speed Measurement Accuracy ±1 m / s Response Time <5 seconds Baud Rate 9600 Communication Port RS485 Power Supply 12V - 24VDC Power Consumption <1W Operating Temperature -30-80℃ Working Humidity Environment 0 - 100%RH (15 - 95%RH)

[0080] The wind speed is introduced as an auxiliary index into the monitoring content. The real-time wind speed in a certain area is collected through a wind speed sensor, and combined with the monitoring data of other sensors, it helps project supervisors comprehensively analyze and evaluate the environmental safety risk situation.

[0081] The construction safety intelligent monitoring robot further includes an energy module; the energy module is used to supply power to the detection hardware module and the mobile carrier platform. As Figure 1 shown, the energy module includes a 16.8V lithium battery and a 12V lithium battery. The 16.8V lithium battery supplies power to the carrier platform and the intelligent module. The 12V lithium battery supplies power to the monitoring module.

[0082] The data transmission and storage module mainly includes a network router, an edge computing gateway, and a hard disk storage device. Among them, the hard disk storage device is to fulfill the supervision responsibility of image retention and leave evidence and proof for illegal construction. The detection hardware module does not come with various network transmission functions. Therefore, a 4G communication module is built with the edge computing gateway and a Huawei network router to provide network support for the detection module and transmit the data back. This set of network setup system will not cause any infeasible situations when replacing the network operator or equipment. The edge computing gateway is mounted on the carrier platform. The data collected by various sensors on the intelligent robot is transmitted to the edge computing gateway through the RS485 serial port (communication protocol is Modbus RTU), and then transmitted to the cloud computing center in real time through the 4G network (communication protocol is TCP / HTTPS). The edge computing gateway can select the Yinghantong edge computing gateway, model number IG902-H-LQA8-IO-W-G.

[0083] The construction safety intelligent monitoring robot further includes a radio frequency identification device and a two-dimensional code scanning module; the radio frequency identification device is used to collect construction worker information. The two-dimensional code scanning module is used to scan the item information in the monitoring area.

[0084] Radio Frequency Identification (RFID) is the abbreviation of Radio Frequency Identification. It is a kind of automatic identification technology. It conducts non-contact two-way data communication through radio frequency, and reads and writes the recording medium (electronic tag or radio frequency card) by radio frequency, so as to achieve the purpose of identifying the target and data exchange (radio frequency identification technology). In this device, the 2.4G active card reader of Shenzhen Junfa Ruida Intelligent Technology Co., Ltd. is selected, and the product model is HR2450D (directional type); the RFID card is a 2.4G active tag. The RFID communication setup program is simple, and the communication establishment time is very short, only about 0.1 s. The transmission distance can reach 3 meters under theoretical standard conditions, and about 0.5 meters in actual use. Users do not need additional punching actions, just need to get close to complete punching, with simple operation and strong feasibility. The RFID card has the advantages of small size, strong anti-pollution ability and durability, and can be reused, which is very suitable for use in the construction site environment.

[0085] There are a large number of personnel on the construction site and personnel of various types of work are mixed. At present, on most projects, the supervision of the qualifications of construction personnel by supervisors still stays in the following two aspects: 1. Review the paper version of the qualification submission form of construction unit personnel, the qualification submission form of special operation personnel, the hot work permit, etc. in the project department; 2. Randomly check the qualification certificates, hot work permits, etc. carried by the current operating personnel or stored in their mobile phones during on-site inspections. However, in on-site implementation, there are often problems such as untimely submission of the construction unit for new entrants, overdue and unupdated personnel qualifications during the construction period, inconsistency between the submitted personnel and the on-site personnel, and on-site workers prevaricating with excuses such as forgetting, which bring many difficulties to the management of on-site supervisors.

[0086] By adding an RFID card reader as an access control at the entrance and exit of construction site personnel, and equipping special operation personnel and some professional type of work personnel with personal exclusive RFID cards, it is possible to effectively prevent construction units from using traditional loopholes for illegal construction. For example, during a specific time period, place the intelligent monitoring robot at the entrance and exit of construction site personnel to act as an RFID card reader and collect personnel entry and exit information.

[0087] For example, the information of the steel bar processing area can be pre-entered into the RFID card reader and set at the entrance and exit of the processing area; the information such as the personnel qualifications and their expiration dates approved by the construction unit and the expiration dates of the corresponding fire permits are entered into the RFID cards, so that each key type of worker, such as welders and operators of steel bar cutting machines and straightening machines, has one card, and non-cardholders are prohibited from entering the site access control. The supervision personnel can carry RFID handheld devices or install them on intelligent robots (to be purchased later) to conduct spot checks on site, which not only reduces the memory requirements for on-site management personnel but also eliminates the cumbersome process of negotiating with workers; the construction unit will be severely punished for issues such as inconsistent personnel certificates, non-cardholders breaking in, and workers operating beyond their qualification scope; the information on expired personnel qualifications or fire permit expiration dates is transmitted to the supervision platform (the data processing center connected to the monitoring device) through the network, and the platform prompts the project supervision personnel to handle it, which can force the construction unit to send updated materials to the supervision for review in a timely manner, and then update the pre-stored information on the RFID cards after passing. The supervision personnel can carry RFID handheld devices or install them on intelligent robots (to be purchased later) to conduct regular inspections, replacing the traditional on-site inspections or spot checks by supervisors. The inspection records are automatically generated synchronously by the platform, thus greatly reducing the workload of project supervision personnel.

[0088] To more effectively supervise the flammable and explosive equipment, materials, and fire protection facilities in the construction area, the research group uses the method of generating and scanning QR codes for auxiliary control, and jointly with the RFID module, realizes the analysis and rating of fire hazards in the construction area. The brand of the QR code scanning device of this monitoring device is MicroLight Internet, and the model is MC100. This machine has the advantages of multi-function, multi-interface, and small volume, with strong reading ability, fast reading speed, and can also broadcast 8 kinds of custom voices.

[0089] When flammable and explosive equipment, materials, and fire protection facilities enter the construction area, scan the uniquely generated QR code over the equipment, and the information containing important factors affecting the fire risk can be transmitted to the platform in real time. The platform uses the discriminant model algorithm to comprehensively evaluate the fire risk in the construction area, providing a new way to prevent fire accidents and improve project management level. This device comes with voices for successful and failed network transmission behaviors and can also customize 8 kinds of voice broadcasts to provide clear and definite QR code scanning information prompts for on-site personnel.

[0090] The management of the storage and use of flammable and explosive dangerous goods is also a difficult point in construction project management. The storage of these materials needs to be properly stored in a special warehouse, and relevant specification requirements also need to be followed during use. Currently, on most projects, the supervision by the supervision personnel is only on-site inspections and manual writing of inspection records.

[0091] By adding QR code scanning devices at the warehouse entrances and exits and the entrances and exits of designated construction areas as access controls, and pasting the unique QR codes generated by the platform on inflammable and explosive dangerous goods in advance, a new way can be provided for the supervision of on-site management personnel. Still taking the steel bar processing area as an example:

[0092] Project supervision personnel can set up QR code scanning devices at the warehouse entrances and exits and the entrances and exits of the steel bar processing area, and paste the unique QR codes generated by the platform on the bodies of each oxygen cylinder in the warehouse in advance. When the oxygen cylinders are transported in and out of the warehouse and the steel bar processing area, after scanning the QR codes, the information is transmitted to the platform through the network, thus providing clear and detailed information for the supervision personnel. For example, in a specific time period, intelligent monitoring robots are placed at the warehouse entrances and exits and the entrances and exits of the steel bar processing area to act as QR code scanning devices, and collect the entry and exit information of the warehouse goods and steel bars.

[0093] Similarly, paste QR codes on the fire extinguishers entering the site. After scanning the codes, information such as the type of fire extinguisher, production date, fire extinguishing level, maximum protection area, and maximum protection distance can be obtained. Then, the fire extinguisher configuration in each site can be confirmed on the platform, and inspections can be prompted for those that may be expired.

[0094] In this embodiment, the selection of each component in the intelligent monitoring robot is mainly determined according to its working performance in two scenarios: working in a confined space and construction hot work. The intelligent monitoring robot is used to collect the safety information data of the construction site. Among them, the collection of safety information data mainly includes: video information of personnel's on-site activities, air temperature and humidity, fire points, illuminance, oxygen content in the air, and concentrations of various harmful gas fumes, etc. Thus, an automatic and intelligent monitoring method can be provided, without the need for inspection personnel to conduct manual inspections, and it can also ensure safety issues in complex construction environments and safety issues in confined spaces (enclosed spaces). The main function of the monitoring device provided by the present utility model is multi-faceted data collection, a data collection device.

[0095] In this article, specific examples are used to elaborate on the principle and implementation manner of the present utility model. The descriptions of the above embodiments are only used to help understand the method and its core idea of the present utility model; at the same time, for those of ordinary skill in the art, according to the idea of the present utility model, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present utility model.

Claims

1. A construction safety intelligent monitoring robot, characterized in that: The construction safety intelligent monitoring robot comprises: a mobile carrier platform, a detection hardware module and a data transmission and storage module arranged on the mobile carrier platform; The detection hardware module includes a fire detection device, a combustible gas sensor, a hydrogen sulfide sensor, a carbon monoxide sensor, an oxygen sensor, a benzene sensor and a wind speed sensor; The data transmission and storage module is used to store various detection data of the detection hardware module and upload the detection data to the cloud.

2. The construction safety intelligent monitoring robot according to claim 1, characterized in that: The detection hardware module also includes a PM2.5+TVOC sensor.

3. The construction safety intelligent monitoring robot according to claim 1, characterized in that: The fire detection equipment adopts a thermal camera; the thermal camera is arranged above the top plate of the mobile carrier platform.

4. The construction safety intelligent monitoring robot according to claim 1, characterized in that: The fire detection equipment, the combustible gas sensor, the hydrogen sulfide sensor, the carbon monoxide sensor, the oxygen sensor, and the benzene sensor are arranged on the front side of the mobile carrier platform; the front side refers to the side of the moving direction of the mobile carrier platform.

5. The construction safety intelligent monitoring robot according to claim 1, characterized in that: The mobile transport platform adopts a ROS smart car; the ROS smart car is also provided with a laser radar, a depth camera and a microprocessor.

6. The construction safety intelligent monitoring robot according to claim 1, characterized in that: The data transmission and storage module includes a hard disk storage, a network router and an edge computing gateway; The hard disk storage is used to store the detection data of the detection hardware module; The edge computing gateway and the network router are used to build a 4G network system to provide network support for the detection hardware module and transmit the detection data to the cloud.

7. The construction safety intelligent monitoring robot according to claim 5, characterized in that: The construction safety intelligent monitoring robot also includes an energy module; the energy module is used to supply power to the detection hardware module and the mobile transport platform.

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