CN115294517B - Building site monitoring method, device, equipment and storage medium based on 5G Internet of things - Google Patents
Building site monitoring method, device, equipment and storage medium based on 5G Internet of things Download PDFInfo
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- CN115294517B CN115294517B CN202210826081.5A CN202210826081A CN115294517B CN 115294517 B CN115294517 B CN 115294517B CN 202210826081 A CN202210826081 A CN 202210826081A CN 115294517 B CN115294517 B CN 115294517B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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Abstract
The invention belongs to the technical field of 5G (fourth generation) Internet of things, and discloses a building site monitoring method, a device, equipment and a storage medium based on the 5G Internet of things. The method comprises the following steps: the 5G network acquires real-time video information and equipment state information in a to-be-monitored construction site; determining hook video information of the tower crane and lifting cabin video information according to the equipment video information; determining cargo information and elevator registration information of the tower crane according to the equipment state information; determining a tower crane risk state and an elevator risk state according to the lifting hook video information, the lifting cabin video information, the cargo information and the elevator registration information; and determining the safety state of the construction site to be monitored according to the safety state of the tower crane and the safety state of the lifter. By the mode, engineering equipment such as a tower crane and a lifter which are difficult to comprehensively monitor on a large scale can be monitored more conveniently and accurately, and the difficulty of site management is reduced.
Description
Technical Field
The invention relates to the technical field of 5G (fourth generation) Internet of things, in particular to a building site monitoring method, a device, equipment and a storage medium based on the 5G Internet of things.
Background
Many electronic equipment can monitor through the interaction of data flow on the building site, and small-size equipment such as mixer also can carry out convenient detection, but for example large-size equipment such as tower crane, lift can't simply monitor and the accuse of security risk, often can cause the potential safety hazard because of the visual field blind area of tower crane driver, or the lift is difficult to manage and control and causes overload, safety problem such as going out of the country, whether there is the potential safety hazard in the working process of overall monitoring tower crane and lift.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a building site monitoring method, a device, equipment and a storage medium based on the 5G Internet of things, and aims to solve the technical problem that the existing building site is insufficient in monitoring of a tower crane and a lifter and is easy to cause safety accidents due to monitoring dead angles.
In order to achieve the above purpose, the invention provides a site monitoring method based on 5G Internet of things, which comprises the following steps:
Acquiring real-time video information and equipment state information in a to-be-monitored construction site through a 5G network;
determining lifting hook video information and lifting cabin video information of the tower crane according to the real-time video information;
Determining cargo information and elevator registration information of the tower crane according to the equipment state information;
Determining a tower crane risk state and an elevator risk state according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information;
and determining the safety state of the construction site to be monitored according to the risk state of the tower crane and the risk state of the elevator.
Optionally, the acquiring, through the 5G network, real-time video information and equipment status information in the to-be-monitored worksite includes:
issuing an information calling instruction to a storage device corresponding to each engineering device;
When receiving equipment working information corresponding to each engineering equipment through a 5G network, the storage device corresponding to each engineering equipment determines real-time video information and equipment state information according to the equipment working information.
Optionally, the determining a tower crane risk state and an elevator risk state according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information includes:
Determining a tower crane risk state according to the hook video information and the cargo information;
and determining an elevator risk state according to the elevator cabin video information and the elevator registration information.
Optionally, the determining the risk state of the tower crane according to the hook video information and the cargo information includes:
determining the lifting hook position information and the lifting hook environment information of the tower crane of the construction site to be monitored according to the lifting hook video information;
determining the current cargo size of the tower crane according to the cargo information;
And determining a tower crane risk state according to the lifting hook position information, the lifting hook environment information and the current cargo size.
Optionally, the determining the risk state of the tower crane according to the hook position information, the hook environment information and the current cargo size includes:
determining whether the goods are in a blind area of a driver's vision according to the position information of the lifting hook;
When the goods are in the blind area of the driver's vision, judging whether the lifting hook and the goods have collision risks according to the current size of the goods and the environment information of the lifting hook;
And when collision risk exists between the lifting hook and the cargoes, determining the risk state of the tower crane as the safety risk.
Optionally, the determining an elevator risk status according to the elevator cabin video information and the elevator registration information includes:
Determining cabin edge images of elevators of the construction site to be monitored according to the elevator cabin video information;
determining cargo out-of-bounds information of an edge area according to the cabin edge image;
determining personnel riding information according to the elevator registration information;
and determining the risk state of the elevator according to the goods out-of-range information and the personnel riding information.
Optionally, the determining the risk state of the lifter according to the goods out-of-range information and the personnel riding information includes:
judging whether the goods exceed the edge of the lifter according to the goods out-of-limit information, and obtaining a first judgment result;
determining the starting and stopping floor information of each passenger according to the passenger information;
Judging whether the elevator has overload risk according to the start-stop floor information of each passenger, and obtaining a second judgment result;
and determining the risk state of the elevator according to the first judging result and the second judging result.
In addition, in order to achieve the above purpose, the invention also provides a building site monitoring device based on the 5G internet of things, wherein the building site monitoring device based on the 5G internet of things comprises:
the information acquisition module is used for acquiring real-time video information and equipment state information in the construction site to be monitored through a 5G network;
The video extraction module is used for determining hook video information of the tower crane and lifting cabin video information according to the real-time video information;
the state extraction module is used for determining cargo information and elevator registration information of the tower crane according to the equipment state information;
the risk analysis module is used for determining a tower crane risk state and an elevator risk state according to the lifting hook video information, the lifting cabin video information, the cargo information and the elevator registration information;
and the status summarizing module is used for determining the safety status of the construction site to be monitored according to the risk status of the tower crane and the risk status of the lifter.
In addition, in order to achieve the above purpose, the invention also provides a building site monitoring device based on the 5G internet of things, wherein the building site monitoring device based on the 5G internet of things comprises: the system comprises a memory, a processor and a 5G Internet of things-based worksite monitoring program which is stored on the memory and can run on the processor, wherein the 5G Internet of things-based worksite monitoring program is configured to realize the steps of the 5G Internet of things-based worksite monitoring method.
In addition, in order to achieve the above objective, the present invention further provides a storage medium, on which a site monitoring program based on the 5G internet of things is stored, where the site monitoring program based on the 5G internet of things implements the steps of the site monitoring method based on the 5G internet of things as described above when being executed by a processor.
The method comprises the steps of obtaining real-time video information and equipment state information in a to-be-monitored construction site through a 5G network; determining lifting hook video information and lifting cabin video information of the tower crane according to the real-time video information; determining cargo information and elevator registration information of the tower crane according to the equipment state information; determining a tower crane risk state and an elevator risk state according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information; and determining the safety state of the construction site to be monitored according to the risk state of the tower crane and the risk state of the elevator. By the method, real-time video information on a to-be-monitored site and equipment state information of each equipment are obtained in real time through the 5G network, then the risk states of the tower crane and the corresponding tower crane and the risk states of the elevator on the to-be-monitored site are determined based on the real-time video information and the equipment state information, and finally the safety states of the whole to-be-monitored site are comprehensively evaluated based on the risk states of the tower crane and the risk states of the elevator, so that engineering equipment such as the tower crane and the elevator which are difficult to comprehensively monitor on a large scale are more conveniently and accurately monitored, the difficulty of site management is reduced, and real-time update of the real-time video information and the equipment state information can be guaranteed based on the 5G network, so that the real-time performance of monitoring on the to-be-monitored site is better.
Drawings
Fig. 1 is a schematic structural diagram of a site monitoring device based on the 5G internet of things in a hardware operation environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a site monitoring method based on the 5G Internet of things of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of a site monitoring method based on the 5G Internet of things of the present invention;
fig. 4 is a block diagram of a first embodiment of a site monitoring device based on 5G internet of things according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of a construction site monitoring device based on a 5G internet of things in a hardware operation environment according to an embodiment of the present invention.
As shown in fig. 1, the site monitoring device based on the 5G internet of things may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Those skilled in the art will appreciate that the structure shown in fig. 1 does not constitute a limitation of 5G internet of things-based worksite monitoring devices, and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a site monitoring program based on the 5G internet of things may be included in the memory 1005 as one storage medium.
In the site monitoring device based on the 5G internet of things shown in fig. 1, the network interface 1004 is mainly used for performing data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the site monitoring device based on the 5G Internet of things can be arranged in the site monitoring device based on the 5G Internet of things, and the site monitoring device based on the 5G Internet of things calls the site monitoring program based on the 5G Internet of things and stored in the memory 1005 through the processor 1001, and executes the site monitoring method based on the 5G Internet of things.
The embodiment of the invention provides a building site monitoring method based on a 5G Internet of things, and referring to fig. 2, fig. 2 is a flow diagram of a first embodiment of the building site monitoring method based on the 5G Internet of things.
In this embodiment, the method for monitoring a worksite based on the 5G internet of things includes the following steps:
step S10: and acquiring real-time video information and equipment state information in the to-be-monitored construction site through a 5G network.
It should be noted that, the execution body of the embodiment is a server or a processing device of an integrated management system, which may be an entity server or a cloud server, or may be a management system, or other devices capable of implementing this function, which is not limited in this embodiment.
It should be understood that in the existing equipment on the construction site, the operation of the tower crane relies on the experience of the tower crane driver to look for and avoid the obstacle, but the position of the lifting hook of the tower crane or the back of the cab and other places still have a visual field blind area of the driver, and potential safety hazards easily appear in the visual field blind area. The elevator is public equipment because no driver exists, and the elevator on a construction site is simpler, so that a plurality of potential safety hazards exist. Therefore, the monitoring of potential safety hazards of the tower crane and the lifter is difficult to realize, and the monitoring of the construction site to be monitored is difficult to accurately and real-timely complete.
In a specific implementation, the real-time video information refers to video monitoring images of various engineering devices (including a tower crane and a lifter) acquired through image acquisition devices (such as cameras and the like) arranged at the sites to be monitored.
The equipment status information refers to relevant information such as equipment work, personnel registration, and relevant parameter settings of the current work of each engineering equipment (including the tower crane and the elevator).
Further, in order to be able to quickly acquire real-time video information and device status information, step S10 includes: issuing an information calling instruction to a storage device corresponding to each engineering device; when receiving equipment working information corresponding to each engineering equipment through a 5G network, the storage device corresponding to each engineering equipment determines real-time video information and equipment state information according to the equipment working information.
It should be understood that engineering equipment includes, but is not limited to, machinery used in a worksite such as a tower crane, elevator, blender, etc.
In a specific implementation, the storage device corresponding to the engineering equipment refers to a storage device corresponding to the image acquisition equipment and equipment state information of the engineering equipment, and is used for storing real-time video information and equipment state information corresponding to each engineering equipment.
It should be noted that, the information calling instruction may be any form of issuing instruction, and after the storage device receives the information calling instruction, real-time video information and equipment state information corresponding to each engineering equipment are fed back according to the information calling instruction.
By the method, real-time video information and equipment state information corresponding to each engineering equipment are obtained in real time and rapidly and synchronously based on the 5G network, so that monitoring of risk states of the tower crane and the lifter can be updated in real time, potential safety hazards can be found in time, and safety of a construction site is improved.
Step S20: and determining the video information of the lifting hook of the tower crane and the video information of the lifting cabin according to the real-time video information.
It should be understood that one or more towers may be one or more of the tower crane devices currently operating at the site to be monitored, and the present embodiment is not limited in this regard. The elevator may be one or more elevator devices each being currently working at the worksite to be monitored, as this embodiment is not limiting.
In a specific implementation, the hook video information refers to image information at the hook of the tower crane transporting the load. The elevator cabin video information refers to images of the surrounding of the cabin of the elevator, mainly video information of the respective boundaries of the cabin.
Step S30: and determining cargo information and elevator registration information of the tower crane according to the equipment state information.
The cargo information refers to the related information such as the weight, shape, size and the like of the cargo transported by the current lifting hook of the tower crane.
It should be understood that elevator registration information refers to: information about the starting floor, the departure floor, or the weight of the goods to be transported, the route, the destination floor, etc. of the individual user who uses the elevator is used.
Step S40: and determining a tower crane risk state and an elevator risk state according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information.
In specific implementation, the risk state of the tower crane refers to risk judging information, such as whether the tower crane is in collision with an environmental object or whether the worker is injured by falling goods, which is judged by the video information of the lifting hook and the goods information.
It should be noted that the elevator risk status refers to a risk status during use of the elevator, including, but not limited to, whether the elevator is overloaded, whether there is cargo out of the boundary of the cabin, and the like.
Step S50: and determining the safety state of the construction site to be monitored according to the risk state of the tower crane and the risk state of the elevator.
It should be appreciated that after determining the tower crane risk status and the elevator risk status, the method according to the tower crane risk status and the elevator risk status is: when at least one of the risk state of the tower crane and the risk state of the elevator is a potential safety hazard and safety accident risk, judging that the safety state of the site to be monitored is unsafe, and reminding and early warning are carried out to a user at the moment; when the risk state of the tower crane and the risk state of the elevator are both risk-free, determining that the safety state of the to-be-monitored building site is safe, and normally working the to-be-monitored building site.
In the embodiment, real-time video information and equipment state information in a to-be-monitored construction site are acquired through a 5G network; determining lifting hook video information and lifting cabin video information of the tower crane according to the real-time video information; determining cargo information and elevator registration information of the tower crane according to the equipment state information; determining a tower crane risk state and an elevator risk state according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information; and determining the safety state of the construction site to be monitored according to the risk state of the tower crane and the risk state of the elevator. By the method, real-time video information on a to-be-monitored site and equipment state information of each equipment are obtained in real time through the 5G network, then the risk states of the tower crane and the corresponding tower crane and the risk states of the elevator on the to-be-monitored site are determined based on the real-time video information and the equipment state information, and finally the safety states of the whole to-be-monitored site are comprehensively evaluated based on the risk states of the tower crane and the risk states of the elevator, so that engineering equipment such as the tower crane and the elevator which are difficult to comprehensively monitor on a large scale are more conveniently and accurately monitored, the difficulty of site management is reduced, and real-time update of the real-time video information and the equipment state information can be guaranteed based on the 5G network, so that the real-time performance of monitoring on the to-be-monitored site is better.
Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of a site monitoring method based on 5G internet of things according to the present invention.
Based on the first embodiment, the site monitoring method based on the 5G internet of things in this embodiment includes, in step S40:
step S401: and determining the risk state of the tower crane according to the hook video information and the cargo information.
It should be noted that, according to hook video information, hook environment information is determined, then based on the goods information, the goods size is determined, finally whether collision risk exists is determined by combining hook environment information and the goods size, and based on the collision risk, the risk state of the tower crane is judged.
Further, in order to accurately determine the risk status of the tower crane, step S401 includes: determining the lifting hook position information and the lifting hook environment information of the tower crane of the construction site to be monitored according to the lifting hook video information; determining the current cargo size of the tower crane according to the cargo information; and determining a tower crane risk state according to the lifting hook position information, the lifting hook environment information and the current cargo size.
It should be understood that the hook position information refers to information about the position at which the hook of the current tower is located. The hook environment information refers to the position information of an environmental obstacle, a wall body or other objects of the area of the hook within a preset radius, and the like. The preset radius may be a set distance of any length, which is not limited in this embodiment.
In particular, the current cargo size refers to the size of the cargo currently being suspended from the hooks and information about where the edges of the cargo are located.
It should be noted that, determining the risk status of the tower crane according to the hook position information, the hook environment information and the current cargo size refers to: and determining the position information of the cargo and the lifting hook according to the position information of the lifting hook and the size of the cargo, and then judging whether collision risk exists or not by combining the environment information when the cargo is in the blind area of the visual field of the driver.
By the method, the hook and the relevant information of the goods of the tower crane are accurately determined based on the hook video information and the goods information, so that the risk state of the tower crane is accurately determined.
Further, in order to accurately determine a risk state of the tower crane, determining the risk state of the tower crane according to the hook position information, the hook environment information and the current cargo size includes: determining whether the goods are in a blind area of a driver's vision according to the position information of the lifting hook; when the goods are in the blind area of the driver's vision, judging whether the lifting hook and the goods have collision risks according to the current size of the goods and the environment information of the lifting hook; and when collision risk exists between the lifting hook and the cargoes, determining the risk state of the tower crane as the safety risk.
It should be understood that determining whether the cargo is in the blind area of the driver's view based on the hook position information means that: and determining the position of the cargo according to the position information of the lifting hook, and judging whether the cargo is in a blind area of the visual field relative to the visual field area of the driver in the cab or not based on the position of the cargo.
In a specific implementation, when the cargo is in the blind area of the driver's vision, determining whether the collision risk exists between the hook and the cargo according to the current cargo size and the hook environment information means that: firstly, determining the current size of the cargo and the position of the lifting hook, then combining the position of the lifting hook with the size of the cargo to form a space model of the lifting hook and the cargo, substituting the space model into the space model according to the environmental information of the lifting hook, so that a collection space model of the lifting hook, the cargo and surrounding obstacles can be constructed, finally determining the distance between the cargo and the edge of the lifting hook from the collection space model, and judging that collision risks exist between the lifting hook and the cargo when the distance between the obstacle and the edge of the lifting hook is smaller than or equal to the alarm distance. The alarm distance is a preset distance, and may be any distance, which is set by the user or the administrator, and this embodiment is not limited thereto.
After the aggregate space model is constructed, the personnel activity area in the site to be monitored is acquired, then the projection area of the outline of the goods on the ground is determined based on the aggregate space model and is recorded as the falling landing area of the goods, then the area with the safety buffer distance is extended outwards at the boundary of the falling landing area to obtain the falling dangerous area, the area distance between the falling dangerous area and the personnel activity area is calculated, and when the area distance is smaller than or equal to the dangerous distance, the risk state of the tower crane is also judged to be the safety risk. The safe buffer distance and the dangerous distance are both distances of any value set by a user or an administrator, and the embodiment is not limited thereto.
By the method, the risk state of the tower crane is accurately judged, so that the collision and falling risks of the tower crane are reasonably calculated and evaluated, the risk is timely determined, and the risk of the tower crane on a construction site is reduced.
Step S402: and determining an elevator risk state according to the elevator cabin video information and the elevator registration information.
It should be understood that elevator registration information includes, but is not limited to, information about the start and stop floors, cargo carried, etc. of individual boarding persons during use of all elevators in the worksite to be monitored. Before use, each elevator needs to carry out identity verification on passengers, and after verification, the destination floor needs to be determined, and then the elevator cabin waits for the passengers to arrive at the floor for taking, so that the identity, the air floor, whether the relevant information such as goods are carried or not can be recorded through the elevators.
In a specific implementation, the elevator cabin video information includes real-time images of the elevator cabin captured by a camera or other image capturing device.
Further, in order to be able to accurately determine the elevator risk status of the elevator, step S402 includes: determining cabin edge images of elevators of the construction site to be monitored according to the elevator cabin video information; determining cargo out-of-bounds information of an edge area according to the cabin edge image; determining personnel riding information according to the elevator registration information; and determining the risk state of the elevator according to the goods out-of-range information and the personnel riding information.
The cabin edge image refers to an image at the cabin edge of the elevator, that is, an image of the cabin edge in the up, down, left, right, up, and down directions.
It should be understood that the cargo out-of-range information refers to information about whether cargo carried by a passenger exceeds the boundary of the cabin in images of various directions of the cabin.
In particular implementations, personnel boarding information refers to information about individual boarding personnel boarding elevators, carrying cargo, and leaving floors.
It should be noted that, determining the risk status of the elevator according to the cargo outgoing information and the personnel riding information refers to: judging whether the goods exceed the edge of the lifter according to the goods out-of-range information to obtain a first judging result, judging whether overload risks exist or not based on personnel riding information to obtain a second judging result, and determining the risk state of the lifter according to the first judging result and the second judging result.
By the method, the risk state of the elevator can be accurately judged according to the video information of the elevator cabin and the registration information of the elevator, so that the safety state of the elevator of the whole construction site to be monitored can be accurately and timely detected.
Further, in order to accurately determine the risk state of the elevator, the step of determining the risk state of the elevator according to the cargo outgoing information and the personnel riding information includes: judging whether the goods exceed the edge of the lifter according to the goods out-of-limit information, and obtaining a first judgment result; determining the starting and stopping floor information of each passenger according to the passenger information; judging whether the elevator has overload risk according to the start-stop floor information of each passenger, and obtaining a second judgment result; and determining the risk state of the elevator according to the first judging result and the second judging result.
It should be understood that, according to the goods out-of-limit information, whether the goods exceeds the edge of the lifter is judged, and the first judgment result is that: judging whether the cargoes exceed the edges of the lifting cabin according to the cargo out-of-range information, namely processing cabin edge images based on image recognition, determining cargo out-of-range information, and then determining a first judging result according to the cargo out-of-range information. The first judging result comprises two kinds of goods out-of-limit and goods out-of-limit.
In a specific implementation, the start-stop floor information includes a start floor and a stop floor of each of the passengers. Judging whether the elevator has overload risk according to the starting and stopping floor information of each passenger, and obtaining a second judgment result means that: after the start-stop floor information of each passenger is obtained, the load of the elevator in each time period is calculated by combining the related information of the carried goods when the passenger registers, and the body of the passenger is specifically reset to be the average weight, so that the load of the cabin of the elevator is the weight of the passenger obtained by multiplying the number of the passengers by the average weight in each time period, and the weight of all the carried goods is added. And comparing the load with the rated load to obtain a second judgment result.
It should be noted that, when the load is greater than or equal to the rated load, the second judgment result is that there is an overload risk; and when the load is smaller than the rated load, the second judgment result is that the overload risk does not exist. The rated load is a safe load weight of the nacelle of the elevator, and may be determined by the elevator model, or may be set by a user or an administrator, and this embodiment is not limited thereto.
In this way, the risk state of the elevator is judged from the overweight aspect and the cargo out-of-range aspect, so that the risk state of the elevator is judged more accurately and comprehensively.
According to the embodiment, the risk state of the tower crane is determined according to the hook video information and the cargo information; and determining an elevator risk state according to the elevator cabin video information and the elevator registration information. By the method, the risk states of the tower crane and the lifter are accurately judged, so that the large equipment with dead angles, such as the tower crane and the lifter, can be timely and accurately monitored, and the safety of a construction site is improved.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores a site monitoring program based on the 5G Internet of things, and the site monitoring program based on the 5G Internet of things realizes the steps of the site monitoring method based on the 5G Internet of things when being executed by a processor.
The storage medium adopts all the technical solutions of all the embodiments, so that the storage medium has at least all the beneficial effects brought by the technical solutions of the embodiments, and is not described in detail herein.
Referring to fig. 4, fig. 4 is a block diagram of a construction site monitoring device based on 5G internet of things according to a first embodiment of the present invention.
As shown in fig. 4, the site monitoring device based on the 5G internet of things provided by the embodiment of the invention includes:
The information acquisition module 10 is configured to acquire real-time video information and equipment status information in a to-be-monitored site through a 5G network.
The video extraction module 20 is configured to determine hook video information of the tower crane and elevator cabin video information according to the real-time video information.
And the state extraction module 30 is used for determining cargo information and elevator registration information of the tower crane according to the equipment state information.
The risk analysis module 40 is configured to determine a tower crane risk status and an elevator risk status according to the hook video information, the elevator cabin video information, the cargo information, and the elevator registration information.
The status summarizing module 50 is configured to determine a safety status of the worksite to be monitored according to the tower crane risk status and the elevator risk status.
In the embodiment, real-time video information and equipment state information in a to-be-monitored construction site are acquired through a 5G network; determining lifting hook video information and lifting cabin video information of the tower crane according to the real-time video information; determining cargo information and elevator registration information of the tower crane according to the equipment state information; determining a tower crane risk state and an elevator risk state according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information; and determining the safety state of the construction site to be monitored according to the risk state of the tower crane and the risk state of the elevator. By the method, real-time video information on a to-be-monitored site and equipment state information of each equipment are obtained in real time through the 5G network, then the risk states of the tower crane and the corresponding tower crane and the risk states of the elevator on the to-be-monitored site are determined based on the real-time video information and the equipment state information, and finally the safety states of the whole to-be-monitored site are comprehensively evaluated based on the risk states of the tower crane and the risk states of the elevator, so that engineering equipment such as the tower crane and the elevator which are difficult to comprehensively monitor on a large scale are more conveniently and accurately monitored, the difficulty of site management is reduced, and real-time update of the real-time video information and the equipment state information can be guaranteed based on the 5G network, so that the real-time performance of monitoring on the to-be-monitored site is better.
In an embodiment, the video extraction module 20 is further configured to send an information calling instruction to a storage device corresponding to each engineering device; when receiving equipment working information corresponding to each engineering equipment through a 5G network, the storage device corresponding to each engineering equipment determines real-time video information and equipment state information according to the equipment working information.
In one embodiment, the video extraction module 20 is further configured to determine a risk status of the tower crane according to the hook video information and the cargo information; and determining an elevator risk state according to the elevator cabin video information and the elevator registration information.
In an embodiment, the video extraction module 20 is further configured to determine hook position information and hook environment information of the tower crane of the site to be monitored according to the hook video information; determining the current cargo size of the tower crane according to the cargo information; and determining a tower crane risk state according to the lifting hook position information, the lifting hook environment information and the current cargo size.
In one embodiment, the video extraction module 20 is further configured to determine whether the cargo is in a driver blind area according to the hook position information; when the goods are in the blind area of the driver's vision, judging whether the lifting hook and the goods have collision risks according to the current size of the goods and the environment information of the lifting hook; and when collision risk exists between the lifting hook and the cargoes, determining the risk state of the tower crane as the safety risk.
In an embodiment, the video extraction module 20 is further configured to determine a cabin edge image of an elevator at the worksite to be monitored according to the elevator cabin video information; determining cargo out-of-bounds information of an edge area according to the cabin edge image; determining personnel riding information according to the elevator registration information; and determining the risk state of the elevator according to the goods out-of-range information and the personnel riding information.
In an embodiment, the video extraction module 20 is further configured to determine whether the cargo exceeds the edge of the elevator according to the cargo outbound information, so as to obtain a first determination result; determining the starting and stopping floor information of each passenger according to the passenger information; judging whether the elevator has overload risk according to the start-stop floor information of each passenger, and obtaining a second judgment result; and determining the risk state of the elevator according to the first judging result and the second judging result.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details which are not described in detail in the embodiment can be referred to the 5G internet of things-based worksite monitoring method provided in any embodiment of the present invention, and are not described here again.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (7)
1. The building site monitoring method based on the 5G Internet of things is characterized by comprising the following steps of:
Acquiring real-time video information and equipment state information in a to-be-monitored construction site through a 5G network;
determining lifting hook video information and lifting cabin video information of the tower crane according to the real-time video information;
determining cargo information of the tower crane and elevator registration information according to the equipment state information, wherein the cargo information comprises weight, shape, size and related information of the cargo transported by the current lifting hook of the tower crane, and the elevator registration information comprises the starting floor and the unloading floor of each user using the elevator or the weight, the route, the target floor and related information of the transported cargo;
Determining a tower crane risk state and an elevator risk state according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information;
The determining a tower crane risk status and an elevator risk status according to the hook video information, the elevator cabin video information, the cargo information and the elevator registration information includes:
Determining a tower crane risk state according to the hook video information and the cargo information;
The step of determining the risk state of the tower crane according to the hook video information and the cargo information comprises the following steps:
determining the lifting hook position information and the lifting hook environment information of the tower crane of the construction site to be monitored according to the lifting hook video information;
determining the current cargo size of the tower crane according to the cargo information;
Determining a tower crane risk state according to the lifting hook position information, the lifting hook environment information and the current cargo size;
the step of determining the risk state of the tower crane according to the lifting hook position information, the lifting hook environment information and the current cargo size comprises the following steps:
determining whether the goods are in a blind area of a driver's vision according to the position information of the lifting hook;
When the goods are in the blind area of the driver's vision, judging whether the lifting hook and the goods have collision risks according to the current size of the goods and the environment information of the lifting hook;
When collision risk exists between the lifting hook and the goods, determining that the tower crane risk state is a safety risk exists, wherein the judging whether the collision risk exists between the lifting hook and the goods according to the current goods size and the lifting hook environment information comprises the following steps: constructing a set space model of a lifting hook, a lifting hook and surrounding obstacles based on the current cargo size and the lifting hook environment information, determining the distance between the lifting hook and the closest obstacle from the edge of the lifting hook from the set space model, and judging that the lifting hook and the lifting hook have collision risks when the distance between the lifting hook and the closest obstacle is smaller than or equal to the alarm distance;
after the step of constructing the aggregate space model of the hook, the cargo and the surrounding obstacle based on the current cargo size and the hook environmental information, the method further comprises:
acquiring a personnel activity area of the construction site to be monitored, and determining a falling danger area based on the aggregate space model; calculating the area distance between the falling dangerous area and the personnel moving area, and determining the risk state of the tower crane as the safety risk when the area distance is smaller than or equal to the dangerous distance;
Determining an elevator risk status from the elevator cabin video information and the elevator registration information;
and determining the safety state of the construction site to be monitored according to the risk state of the tower crane and the risk state of the elevator.
2. The method of claim 1, wherein the obtaining real-time video information and equipment status information in the worksite to be monitored via the 5G network comprises:
issuing an information calling instruction to a storage device corresponding to each engineering device;
When receiving equipment working information corresponding to each engineering equipment through a 5G network, the storage device corresponding to each engineering equipment determines real-time video information and equipment state information according to the equipment working information.
3. The method of claim 1, wherein said determining an elevator risk status from the elevator cabin video information and the elevator registration information comprises:
Determining cabin edge images of elevators of the construction site to be monitored according to the elevator cabin video information;
determining cargo out-of-bounds information of an edge area according to the cabin edge image;
determining personnel riding information according to the elevator registration information;
and determining the risk state of the elevator according to the goods out-of-range information and the personnel riding information.
4. The method of claim 3, wherein said determining an elevator risk status based on said cargo departure information and said personnel boarding information comprises:
judging whether the goods exceed the edge of the lifter according to the goods out-of-limit information, and obtaining a first judgment result;
determining the starting and stopping floor information of each passenger according to the passenger information;
Judging whether the elevator has overload risk according to the start-stop floor information of each passenger, and obtaining a second judgment result;
and determining the risk state of the elevator according to the first judging result and the second judging result.
5. The building site monitoring method device based on the 5G Internet of things is characterized by comprising the following steps:
the information acquisition module is used for acquiring real-time video information and equipment state information in the construction site to be monitored through a 5G network;
The video extraction module is used for determining hook video information of the tower crane and lifting cabin video information according to the real-time video information;
The state extraction module is used for determining cargo information of the tower crane and elevator registration information according to the equipment state information, wherein the cargo information comprises weight, shape, size and related information of the cargo transported by the current lifting hook of the tower crane, and the elevator registration information comprises the starting floor, the unloading floor or the weight, the route, the target floor and related information of the cargo transported by each user using the elevator;
the risk analysis module is used for determining a tower crane risk state and an elevator risk state according to the lifting hook video information, the lifting cabin video information, the cargo information and the elevator registration information;
The risk analysis module is further used for determining hook position information and hook environment information of the tower crane of the construction site to be monitored according to the hook video information; determining the current cargo size of the tower crane according to the cargo information; determining whether the goods are in a blind area of a driver's vision according to the position information of the lifting hook; when the goods are in the blind area of the driver's vision, judging whether the lifting hook and the goods have collision risks according to the current goods size and the lifting hook environment information, wherein judging whether the lifting hook and the goods have collision risks according to the current goods size and the lifting hook environment information comprises the following steps: constructing a set space model of a lifting hook, a lifting hook and surrounding obstacles based on the current cargo size and the lifting hook environment information, determining the distance between the lifting hook and the closest obstacle from the edge of the lifting hook from the set space model, and judging that the lifting hook and the lifting hook have collision risks when the distance between the lifting hook and the closest obstacle is smaller than or equal to the alarm distance; after the step of constructing the aggregate space model of the hook, the cargo and the surrounding obstacle based on the current cargo size and the hook environmental information, the method further comprises: acquiring a personnel activity area of the construction site to be monitored, and determining a falling danger area based on the aggregate space model; calculating the area distance between the falling dangerous area and the personnel moving area, and determining the risk state of the tower crane as the safety risk when the area distance is smaller than or equal to the dangerous distance; when collision risk exists between the lifting hook and the goods, determining the risk state of the tower crane as the safety risk; determining an elevator risk status from the elevator cabin video information and the elevator registration information;
and the status summarizing module is used for determining the safety status of the construction site to be monitored according to the risk status of the tower crane and the risk status of the lifter.
6. Building site monitoring equipment based on 5G thing networking, its characterized in that, equipment includes: the system comprises a memory, a processor and a 5G Internet of things-based worksite monitoring program which is stored on the memory and can run on the processor, wherein the 5G Internet of things-based worksite monitoring program is configured to realize the 5G Internet of things-based worksite monitoring method according to any one of claims 1 to 4.
7. A storage medium, wherein a site monitoring program based on the 5G internet of things is stored on the storage medium, and when the site monitoring program based on the 5G internet of things is executed by a processor, the site monitoring method based on the 5G internet of things according to any one of claims 1 to 4 is implemented.
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