CN116823139A - Intelligent building site management method and device based on Internet of things and electronic equipment - Google Patents
Intelligent building site management method and device based on Internet of things and electronic equipment Download PDFInfo
- Publication number
- CN116823139A CN116823139A CN202310437708.2A CN202310437708A CN116823139A CN 116823139 A CN116823139 A CN 116823139A CN 202310437708 A CN202310437708 A CN 202310437708A CN 116823139 A CN116823139 A CN 116823139A
- Authority
- CN
- China
- Prior art keywords
- equipment
- image
- building site
- intelligent building
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 46
- 238000012423 maintenance Methods 0.000 claims abstract description 48
- 238000010276 construction Methods 0.000 claims abstract description 27
- 238000000034 method Methods 0.000 claims description 23
- 238000004891 communication Methods 0.000 claims description 12
- 230000006855 networking Effects 0.000 claims 1
- 238000004590 computer program Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000013527 convolutional neural network Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000013598 vector Substances 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000011524 similarity measure Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- 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
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/30—Construction
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/20—Information sensed or collected by the things relating to the thing itself
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/50—Safety; Security of things, users, data or systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/60—Positioning; Navigation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Evolutionary Computation (AREA)
- Multimedia (AREA)
- Operations Research (AREA)
- Accounting & Taxation (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Databases & Information Systems (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Computer Security & Cryptography (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Alarm Systems (AREA)
Abstract
The application provides an intelligent building site management method and device based on the Internet of things and electronic equipment, wherein the intelligent building site management method comprises the following steps: acquiring an entering image of equipment entering an intelligent building site, acquiring the type of the equipment according to entering image information of the equipment, and confirming a first range of the equipment; acquiring positioning information of equipment in an intelligent building site in real time, judging whether the position of each equipment exceeds a first range corresponding to the equipment according to the positioning information of the equipment in the intelligent building site, and if so, carrying out position alarm; and acquiring an exit image of the equipment leaving the intelligent building site, and generating maintenance information of the equipment according to the exit image of the equipment. The application judges the maintenance state of the equipment, discovers the damage condition of the equipment in time, tracks the service life of the equipment and improves the construction efficiency and quality; positioning information of equipment in the intelligent building site is acquired in real time, and feasible areas of different equipment are limited to ensure safety of the equipment and operators.
Description
Technical Field
The application relates to the technical field of intelligent construction sites, in particular to an intelligent construction site management method and device based on the Internet of things and electronic equipment.
Background
The intelligent building site (Smart Construction Site) is used for realizing the intellectualization, automation and informatization of engineering project management by applying the technical means of modern information technology, the Internet of things, big data analysis, artificial intelligence and the like. The intelligent construction site aims at improving construction efficiency, safety and sustainability, reducing cost, reducing resource waste and improving engineering quality. In construction sites such as power stations and water plants, not only access records are needed for constructors, but also access management is needed for construction and operation equipment, so that equipment is prevented from being lost or left on the construction sites, and potential safety hazards are formed.
At present, construction equipment management of a construction site often adopts a form of extensive management, workers carry construction equipment to enter and exit an intelligent construction site to carry out manual recording, omission or repetition easily occurs, and fine management of equipment cannot be realized. In an intelligent building site, different devices may have corresponding forbidden areas, and if a device enters its forbidden area, security risks may be generated. In the current intelligent building site equipment management, after the equipment is used and leaves a field, the use state of the equipment cannot be recorded in time, the equipment is often damaged, but is not found in time, the damaged equipment is recycled, and potential safety hazards are generated.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides an intelligent building site management method and device based on the Internet of things and electronic equipment.
The application provides an intelligent building site management method based on the Internet of things, which comprises the steps of obtaining an entering image of equipment entering an intelligent building site, obtaining the type of the equipment according to the entering image information of the equipment, and confirming a first range of the equipment; acquiring positioning information of equipment in an intelligent building site in real time, judging whether the position of each equipment exceeds a first range corresponding to the equipment according to the positioning information of the equipment in the intelligent building site, and if so, carrying out position alarm; and acquiring an exit image of the equipment leaving the intelligent building site, and generating maintenance information of the equipment according to the exit image of the equipment.
According to the intelligent building site management method based on the Internet of things, which is provided by the application, the method further comprises the following steps: acquiring the distance from a device entering an intelligent building site according to an entering image of the device; and acquiring the positioning information of the equipment user corresponding to each equipment in the intelligent building site in real time, updating the second range of each equipment according to the positioning information of the equipment user corresponding to each equipment and the distance from the person, judging whether each equipment exceeds the corresponding second range, and if so, giving a person-away alarm.
According to the intelligent building site management method based on the Internet of things, the second range of each device is updated according to the positioning information and the distance from the person of the device user corresponding to each device, and the method comprises the following steps: and drawing a circle by taking the positioning position of the equipment user as a circle center and taking the distance from the person as a radius to form a second range.
According to the intelligent building site management method based on the Internet of things, which is provided by the application, the method further comprises the following steps: and acquiring the unique equipment code of the equipment entering the intelligent construction site, and binding the unique equipment code with the unique identity identification code of the equipment user of the equipment.
According to the intelligent building site management method based on the Internet of things, the maintenance information of the equipment is generated according to the leaving image of the equipment, and the intelligent building site management method comprises the following steps: and inputting the leaving image of the equipment into a pre-trained image recognition model, and generating maintenance information of the equipment.
According to the intelligent building site management method based on the Internet of things, the maintenance information of the equipment is generated according to the leaving image of the equipment, and the intelligent building site management method comprises the following steps: acquiring the type of equipment leaving an intelligent building site, and if the type is a preset first type, generating maintenance information of the equipment according to a leaving image of the equipment; otherwise, generating maintenance information of the equipment according to the entering image and the leaving image of the equipment.
According to the intelligent building site management method based on the Internet of things, the maintenance information of the equipment is generated according to the entering image and the leaving image of the equipment, and the intelligent building site management method comprises the following steps: and comparing the entering image with the leaving image to obtain the difference information of the equipment, and generating the maintenance information of the equipment according to the difference information.
According to the intelligent building site management method based on the Internet of things, the comparison of the entering image and the leaving image to acquire the difference information of the equipment comprises the following steps: extracting a first image feature of an incoming image of the device; extracting a second image feature of the device's exit image; and comparing the first image feature with the second image feature to obtain the difference information of the equipment.
The application also provides an intelligent building site management device based on the Internet of things, which comprises:
the entrance module is used for acquiring an entrance image of equipment entering the intelligent building site, acquiring the type of the equipment according to the entrance image information of the equipment, and confirming a first range of the equipment;
the real-time positioning module is used for acquiring positioning information of the equipment in the intelligent building site in real time, judging whether the position of each equipment exceeds a first range corresponding to the equipment according to the positioning information of the equipment in the intelligent building site, and if so, carrying out position alarm;
and the departure module is used for acquiring a departure image of equipment which leaves the intelligent building site and generating maintenance information of the equipment according to the departure image of the equipment.
The present application also provides an electronic device including: the device comprises a processor, a memory and a communication bus, wherein the processor and the memory complete communication with each other through the communication bus; the memory stores computer program instructions executable by the processor, and when the computer program instructions are read and run by the processor, any intelligent building site management method based on the Internet of things is executed.
The intelligent building site management method, the intelligent building site management device and the electronic equipment based on the Internet of things can acquire and judge the maintenance state of the entering image and the leaving image of the equipment, discover the damage condition of the equipment in time, track the service life of the equipment, and timely carry out scrapping treatment when the equipment reaches the scrapping period or serious damage occurs so as to improve the construction efficiency and the construction quality; and positioning information of equipment in the intelligent building site can be acquired in real time, feasible areas of different equipment are limited, and if the positioning information exceeds the range, prompt is carried out so as to ensure the safety of the equipment and operators.
Drawings
Fig. 1 is a schematic flow chart of an intelligent building site management method based on the internet of things according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a first range and a second range according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an intelligent site management device based on the internet of things according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
It should be noted that the terms "first," "second," and the like in the embodiments of the present application are used for distinguishing between similar features and not necessarily for indicating a relative importance, quantity, or sequence.
The terms "exemplary" or "such as" and the like, as used in relation to embodiments of the present application, are used to denote examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
At present, the intelligent construction site is managed by adopting a rough management mode in the related art, workers carry construction equipment to enter and exit the intelligent construction site to perform manual recording, omission or repetition is easy to occur, and fine management of the equipment cannot be realized. In an intelligent building site, different devices may have corresponding forbidden areas, and if a device enters its forbidden area, security risks may be generated. In the current intelligent building site equipment management, after the equipment is used and leaves a field, the use state of the equipment cannot be recorded in time, the equipment is often damaged, but is not found in time, the damaged equipment is recycled, and potential safety hazards are generated.
Based on the above, the embodiment of the application provides an intelligent building site management method based on the Internet of things, which can acquire and judge maintenance information of an entering image and an exiting image of equipment, can acquire positioning information of the equipment in an intelligent building site in real time, and prevents the equipment from exceeding a first range of the equipment.
Referring to fig. 1, the intelligent building site management method based on the internet of things of the application comprises the following steps:
step S110: acquiring an entering image of equipment entering an intelligent building site, acquiring the type of the equipment according to entering image information of the equipment, and confirming a first range of the equipment;
step S120: acquiring positioning information of equipment in an intelligent building site in real time, judging whether the position of each equipment exceeds a first range corresponding to the equipment according to the positioning information of the equipment in the intelligent building site, and if so, carrying out position alarm;
step S130: and acquiring an exit image of the equipment leaving the intelligent building site, and generating maintenance information of the equipment according to the exit image of the equipment.
Specifically, the equipment in the intelligent building site is operation equipment carried or operated by a person, such as equipment of a wireless drilling machine, an electric wrench, a wireless angle grinder, a portable laser range finder, a portable concrete mixer and the like.
In S110 and S130, the entry image and the exit image of the equipment are acquired by the fixed cameras provided at the entry and exit of the intelligent site. The type of the equipment is the equipment type confirmed after image recognition and classification according to the incoming image, and the movable range of the equipment, namely the first range, is confirmed according to the equipment type of the equipment. The first range defines a range in which the apparatus is movable in the intelligent worksite.
Specifically, the input image can be identified through a pre-trained deep learning model, and the equipment type is obtained.
Specifically, the first range of the certain device may be the passable area of the certain device, or may be a position retracted inward by a certain distance around the passable area of the certain device, so as to prevent the certain device from being directly separated from the passable area.
In S120, positioning information of the device, such as a bluetooth positioning tag, a GPS positioning tag, a Wi-Fi positioning module, etc., may be obtained through positioning hardware fixedly disposed on the device, and a matched positioning system may be disposed in the smart site to obtain positioning information corresponding to the positioning hardware carried on the device, which is used as positioning information of the device in the smart site.
Further specifically, the positioning hardware on the device may be: GPS receiver: a Global Positioning System (GPS) receiver may calculate a location of a device by receiving satellite signals. The method has higher precision in an outdoor environment, but can not work normally in an indoor or severely shielded environment; bluetooth positioning: the bluetooth positioning system uses bluetooth beacons (Bluetooth beacons) and receivers for positioning. By measuring the signal strength between the beacon and the receiver, the location of the device can be calculated. This method is suitable for indoor environments, but has relatively low accuracy; wi-Fi positioning: the Wi-Fi positioning system calculates the location of the device by measuring the signal strength between the Wi-Fi access point and the device. The method is suitable for indoor environments, and can obtain higher positioning accuracy under the condition of good Wi-Fi signals; ultra Wideband (UWB) positioning: ultra wideband positioning systems utilize Time of Arrival (ToA) or Two-Way Ranging (TWR) techniques of UWB signals to calculate the location of a device. The UWB positioning has high precision and anti-interference capability, and is suitable for indoor and outdoor environments; radio Frequency Identification (RFID) location: the radio frequency identification positioning system realizes the positioning of equipment by installing an RFID tag on the equipment and then reading tag information by using an RFID reader-writer. The method is suitable for scenes with relatively close distances, and has relatively low precision. Positioning hardware can be selected according to the specific situation of the intelligent construction site, and the positioning hardware can be used in combination to obtain accurate positioning of equipment.
Based on S110, each device has a first range corresponding to the device, and when detecting that a certain device exceeds the first range in the smart site, the device performs a position alarm.
If there is a device A, B, C in the smart site, S120 obtains the positioning information of each device, and determines whether it exceeds the corresponding positioning range, if a device exceeds the first range P1, then a position alarm is performed. Specifically, the position alarm may be a single alarm sound, or may be a specific notification by acquiring information of a specific out-of-range device, such as notifying that the device a is out of range, or notifying that the person carrying the device a is out of range.
In step S130, maintenance information of the device may also be generated according to the leaving image of the device, where the maintenance information may be device lifetime information such as whether the device needs to be scrapped or not, whether maintenance is needed, and the like.
Based on the method, the maintenance state of the entering image and the leaving image of the equipment can be obtained and judged, the damage condition of the equipment can be found in time, the service life of the equipment is tracked, and when the equipment reaches the scrapping period or serious damage occurs, scrapping treatment is performed in time, so that the construction efficiency and quality are improved; and positioning information of equipment in the intelligent building site can be acquired in real time, feasible areas of different equipment are limited, and if the positioning information exceeds the range, prompt is carried out so as to ensure the safety of the equipment and operators.
In an alternative embodiment, the method further comprises: acquiring the distance from a device entering an intelligent building site according to an entering image of the device; and acquiring the positioning information of the equipment user corresponding to each equipment in the intelligent building site in real time, updating the second range of each equipment according to the positioning information of the equipment user corresponding to each equipment and the distance from the person, judging whether each equipment exceeds the corresponding second range, and if so, giving a person-away alarm.
Specifically, the distance from the person is the maximum distance of the equipment from the user of the equipment, the distance from the person can be ensured not to be too far from the user by setting the distance from the person, such as the alarm prompt of the person after the distance is exceeded, the condition that the equipment is too far from the user of the equipment is prevented, equipment omission, loss and accidental movement are prevented, and the safety risk is reduced.
Specifically, the distance between the devices entering the intelligent building site can be obtained according to the entering images of the devices, the type of each device can be obtained according to the entering images, and the preset distance between the devices in each type can be matched in a preset distance library.
In this embodiment, through obtaining the distance from the person of equipment to whether every equipment is in the second scope that should be in the real-time supervision, if surpass the second scope and report to the police, realize leaving the people and report to the police, prevent that equipment from keeping away from the equipment user, prevent that equipment from missing, losing, unexpected removal, reduce the security risk.
In an optional embodiment, the updating the second range of each device according to the location information and the distance from the user of the device corresponding to each device includes: and drawing a circle by taking the positioning position of the equipment user as a circle center and taking the distance from the person as a radius to form a second range.
For example, in this embodiment, as shown in fig. 2, the device A, B, C is located in the intelligent building site, and the device users are a, b, and c respectively, so that the positions of a, b, and c are obtained in real time, and the positioning information of the device users can be obtained through hardware devices such as bluetooth, GPS, wifi positioning, and the like, or through visual positioning: cameras are installed on a construction site, and the positions of people are recognized and tracked in real time through image processing technologies such as face recognition or target tracking. This method can achieve high-precision positioning. In order to improve the accuracy and reliability of personnel positioning, various positioning technologies can be combined for use, for example, visual positioning and Bluetooth positioning or UWB positioning can be combined, and the position of the personnel can be estimated in real time by utilizing a multi-source data fusion algorithm. After the positioning information of a, b and c is obtained, a circle is drawn by taking a as a circle center and the distance from person corresponding to the equipment A as a radius, a second range of the equipment A is formed, and similarly, the second range of the equipment B, C can be obtained, and the second range changes along with the change of the position of the person. When A, B, C is out of its corresponding second range, an out-of-person alarm is issued.
In this embodiment, a specific second range updating form is provided, the positioning position of the equipment user is taken as the center of a circle, and the distance from the person is taken as the radius to draw a circle to form a second range, so that a second range information which is strongly related to the position of the equipment user can be formed in the intelligent construction site, the positioning accuracy is improved, and the equipment is prevented from being far away from the equipment user.
In an alternative embodiment, the method further comprises: and acquiring the unique equipment code of the equipment entering the intelligent construction site, and binding the unique equipment code with the unique identity identification code of the equipment user of the equipment. The equipment codes are bound with the identity identification codes of the equipment users, so that the personnel separation monitoring and alarming are facilitated, the equipment and the equipment users are associated together, and false alarm is prevented.
In an alternative embodiment, the generating maintenance information of the device according to the leaving image of the device includes: the outgoing image of the device is input into a pre-trained image recognition model.
Specifically, an image recognition model built by a convolutional neural network, a depth residual network, an acceptance network, a MobileNet network, an efficiency net network and other network structures can be used for recognizing the leaving image of the equipment, the input and the output of the image recognition model are respectively the leaving image and maintenance information, and the maintenance information can be information related to the equipment which needs maintenance, scrapping, maintenance and the like. For different types of equipment, corresponding image recognition models can be trained in a targeted mode according to the types of the equipment, and the different types of equipment are input into the image recognition models corresponding to the different types, so that the recognition rate and the recognition accuracy are improved.
The embodiment of the application can acquire the entering image and the leaving image of the equipment to judge the maintenance state of the equipment, discover the damage condition of the equipment in time, track the service life of the equipment, and timely discard the equipment when the equipment reaches the discard age or serious damage occurs so as to improve the construction efficiency and quality.
In an alternative embodiment, the generating maintenance information of the device according to the leaving image of the device includes: acquiring the type of equipment leaving an intelligent building site, and if the type is a preset first type, generating maintenance information of the equipment according to a leaving image of the equipment; otherwise, generating maintenance information of the equipment according to the entering image and the leaving image of the equipment.
Further the generating maintenance information of the device according to the entering image and the leaving image of the device comprises: and comparing the entering image with the leaving image to obtain the difference information of the equipment, and generating the maintenance information of the equipment according to the difference information.
In this embodiment, the types of devices are pre-divided, and the device that can obtain maintenance information only by leaving an image is used as the first type, and the processing of other devices requires the collaborative generation of an entering image and a leaving image, so that the computing power is effectively saved, and the computing efficiency and accuracy are improved.
For example, the devices A, B, C are of types 1, 2, 3, respectively, with type 1 being a first type and types 2, 3 being a second type. When the equipment A leaves the field, only the leaving image is required to be processed to obtain maintenance information, and when the equipment B, C leaves the field, the entering image and the leaving image are required to be cooperatively processed to obtain difference information, so that the maintenance information is obtained.
In this embodiment, the device types may be distinguished, and different types of devices use different maintenance information generating policies, so as to improve pertinence and reliability of maintenance information generation, and improve computing efficiency.
In an alternative embodiment, the comparing the incoming image and the outgoing image to obtain the difference information of the device includes: extracting a first image feature of an incoming image of the device; extracting a second image feature of the device's exit image; and comparing the first image feature with the second image feature to obtain the difference information of the equipment.
Specifically, feature extraction may be first performed: the features of the incoming and outgoing images of the device are extracted using a pre-trained neural network model (e.g., convolutional neural network, CNN). These features may capture meaningful information in the image, such as device shape, texture, etc. The extracted features are then represented as numerical vectors. These vectors can be used to measure similarity and differences between two device images. And finally, calculating the similarity: the similarity between the two feature vectors is calculated. There are various similarity measures such as euclidean distance, cosine similarity, etc. A smaller similarity value indicates that the two device images are more similar, and a larger similarity value indicates that there is a larger difference between them. According to the difference information, for example, the difference information comprises similarity, when the similarity is lower than a preset threshold k, the maintenance information is obtained to be scrapped, and when the similarity is lower than a preset threshold l and higher than the preset threshold k, the maintenance information is obtained to be maintained.
According to the embodiment of the application, the neural network can be used for comparing the distinction between the entering image and the leaving image of the equipment. For equipment which needs to combine an entering image and an exiting image to acquire maintenance information, the maintenance information can be accurately acquired, and the identification accuracy is improved.
Referring to fig. 3, based on the same inventive concept, an embodiment of the present application further provides an intelligent worksite management device 300 based on the internet of things, where the device includes:
an entry module 310, configured to obtain an entry image of a device entering an intelligent worksite, obtain a type of the device according to entry image information of the device, and confirm a first range of the device;
the real-time positioning module 320 is configured to obtain positioning information of devices in the intelligent building site in real time, determine whether the position of each device exceeds a first range corresponding to the device according to the positioning information of the device in the intelligent building site, and if yes, perform position alarm;
and the departure module 330 is used for acquiring a departure image of equipment which leaves the intelligent construction site and generating maintenance information of the equipment according to the departure image of the equipment.
Fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present application, where an electronic device 400 includes: processor 410, memory 420, and communication interface 430, which are interconnected and communicate with each other by a communication bus 440 and/or other forms of connection mechanisms (not shown).
The memory 420 includes one or more (only one shown), which may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the apparatus and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
The processor 410 includes one or more (only one shown) which may be a chip. For example, it may be a field programmable gate array (field programmable gate array, FPGA), an application specific integrated chip (application specific integrated circuit, ASIC), a system on chip (SoC), a central processing unit (central processor unit, CPU), a network processor (network processor, NP), a digital signal processing circuit (digital signal processor, DSP), a microcontroller (micro controller unit, MCU), a programmable controller (programmable logic device, PLD) or other integrated chip.
Communication interface 430 includes one or more (only one shown) that may be used to communicate directly or indirectly with other devices for data interaction. For example, communication interface 430 may be an ethernet interface; may be a mobile communications network interface, such as an interface of a 3G, 4G, 5G network; or may be other types of interfaces with data transceiving functionality.
One or more computer program instructions may be stored in the memory 420, which may be read and executed by the processor 410 to implement the intelligent site management method based on the internet of things and other desired functions provided by the embodiment of the present application.
It is to be understood that the configuration shown in fig. 4 is merely illustrative, and that electronic device 400 may also include more or fewer components than shown in fig. 4, or have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware, software, or a combination thereof.
The embodiment of the application also provides a computer readable storage medium, and the computer readable storage medium is stored with computer program instructions, and when the computer program instructions are read and run by a processor of a computer, the intelligent building site management method based on the Internet of things provided by the embodiment of the application is executed. For example, a computer-readable storage medium may be implemented as memory 420 in electronic device 400 in FIG. 4.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described device embodiments are merely illustrative, e.g., the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple modules or components may be combined or integrated into another device, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or modules, electrical, mechanical, or other form.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physically separate, i.e., may be located in one device, or may be distributed over multiple devices. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present application may be integrated in one device, or each module may exist alone physically, or two or more modules may be integrated in one device.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent building site management method based on the internet of things is characterized by comprising the following steps:
acquiring an entering image of equipment entering an intelligent building site, acquiring the type of the equipment according to entering image information of the equipment, and confirming a first range of the equipment;
acquiring positioning information of equipment in an intelligent building site in real time, judging whether the position of each equipment exceeds a first range corresponding to the equipment according to the positioning information of the equipment in the intelligent building site, and if so, carrying out position alarm;
and acquiring an exit image of the equipment leaving the intelligent building site, and generating maintenance information of the equipment according to the exit image of the equipment.
2. The internet of things-based intelligent worksite management method of claim 1, further comprising:
acquiring the distance from a device entering an intelligent building site according to an entering image of the device;
and acquiring the positioning information of the equipment user corresponding to each equipment in the intelligent building site in real time, updating the second range of each equipment according to the positioning information of the equipment user corresponding to each equipment and the distance from the person, judging whether each equipment exceeds the corresponding second range, and if so, giving a person-away alarm.
3. The intelligent building site management method based on the internet of things according to claim 2, wherein updating the second range of each device according to the location information and the distance from the person of the device user corresponding to each device comprises:
and drawing a circle by taking the positioning position of the equipment user as a circle center and taking the distance from the person as a radius to form a second range.
4. A method of intelligent worksite management based on the internet of things according to claim 2 or 3, further comprising:
and acquiring the unique equipment code of the equipment entering the intelligent construction site, and binding the unique equipment code with the unique identity identification code of the equipment user of the equipment.
5. The internet of things-based intelligent worksite management method of claim 1, wherein the generating maintenance information of the device from the departure image of the device comprises:
and inputting the leaving image of the equipment into a pre-trained image recognition model, and generating maintenance information of the equipment.
6. The internet of things-based intelligent worksite management method of claim 1, wherein the generating maintenance information of the device from the departure image of the device comprises:
acquiring the type of equipment leaving an intelligent building site, and if the type is a preset first type, generating maintenance information of the equipment according to a leaving image of the equipment; otherwise, generating maintenance information of the equipment according to the entering image and the leaving image of the equipment.
7. The internet of things-based intelligent worksite management method of claim 6, wherein the generating maintenance information of the device from the entering image and the exiting image of the device comprises:
and comparing the entering image with the leaving image to obtain the difference information of the equipment, and generating the maintenance information of the equipment according to the difference information.
8. The intelligent building site management method based on the internet of things according to claim 7, wherein the comparing the entering image and the leaving image to obtain the difference information of the device comprises:
extracting a first image feature of an incoming image of the device;
extracting a second image feature of the device's exit image;
and comparing the first image feature with the second image feature to obtain the difference information of the equipment.
9. Intelligent building site management device based on thing networking, its characterized in that, the device includes:
the entrance module is used for acquiring an entrance image of equipment entering the intelligent building site, acquiring the type of the equipment according to the entrance image information of the equipment, and confirming a first range of the equipment;
the real-time positioning module is used for acquiring positioning information of the equipment in the intelligent building site in real time, judging whether the position of each equipment exceeds a first range corresponding to the equipment according to the positioning information of the equipment in the intelligent building site, and if so, carrying out position alarm;
and the departure module is used for acquiring a departure image of equipment which leaves the intelligent building site and generating maintenance information of the equipment according to the departure image of the equipment.
10. An electronic device, comprising: the device comprises a processor, a memory and a communication bus, wherein the processor and the memory complete communication with each other through the communication bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310437708.2A CN116823139A (en) | 2023-04-23 | 2023-04-23 | Intelligent building site management method and device based on Internet of things and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310437708.2A CN116823139A (en) | 2023-04-23 | 2023-04-23 | Intelligent building site management method and device based on Internet of things and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116823139A true CN116823139A (en) | 2023-09-29 |
Family
ID=88117418
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310437708.2A Pending CN116823139A (en) | 2023-04-23 | 2023-04-23 | Intelligent building site management method and device based on Internet of things and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116823139A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222918A (en) * | 2019-04-18 | 2019-09-10 | 重庆恢恢信息技术有限公司 | Wisdom building site management system, server and storage medium based on cloud platform |
| KR102170748B1 (en) * | 2020-01-07 | 2020-10-27 | (주)영신디엔씨 | 3-Dimensional Space Information Construction Site Management Platform System for IoT-Based Smart Constuction |
| CN114120567A (en) * | 2021-11-19 | 2022-03-01 | 广东纵横建筑设计有限公司 | Assembly type building design method |
| CN114518736A (en) * | 2022-02-22 | 2022-05-20 | 上海有间建筑科技有限公司 | Intelligent construction industry integrated management and control system |
| CN114693158A (en) * | 2022-04-19 | 2022-07-01 | 深圳市深安企业有限公司 | Intelligent construction site management method and system based on BIM technology and storage medium |
| CN115278543A (en) * | 2022-07-18 | 2022-11-01 | 中铁第四勘察设计院集团有限公司 | Intelligent building site system based on BIM |
| CN115456812A (en) * | 2022-09-13 | 2022-12-09 | 深圳市诚则成第三方服务评估大数据科技有限公司 | Intelligent construction site management method, device, equipment and medium |
-
2023
- 2023-04-23 CN CN202310437708.2A patent/CN116823139A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222918A (en) * | 2019-04-18 | 2019-09-10 | 重庆恢恢信息技术有限公司 | Wisdom building site management system, server and storage medium based on cloud platform |
| KR102170748B1 (en) * | 2020-01-07 | 2020-10-27 | (주)영신디엔씨 | 3-Dimensional Space Information Construction Site Management Platform System for IoT-Based Smart Constuction |
| CN114120567A (en) * | 2021-11-19 | 2022-03-01 | 广东纵横建筑设计有限公司 | Assembly type building design method |
| CN114518736A (en) * | 2022-02-22 | 2022-05-20 | 上海有间建筑科技有限公司 | Intelligent construction industry integrated management and control system |
| CN114693158A (en) * | 2022-04-19 | 2022-07-01 | 深圳市深安企业有限公司 | Intelligent construction site management method and system based on BIM technology and storage medium |
| CN115278543A (en) * | 2022-07-18 | 2022-11-01 | 中铁第四勘察设计院集团有限公司 | Intelligent building site system based on BIM |
| CN115456812A (en) * | 2022-09-13 | 2022-12-09 | 深圳市诚则成第三方服务评估大数据科技有限公司 | Intelligent construction site management method, device, equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106341661B (en) | Patrol robot | |
| JP4924607B2 (en) | Suspicious behavior detection apparatus and method, program, and recording medium | |
| CN110070155B (en) | Comprehensive behavior recognition method and system for prisoner based on wearable equipment | |
| CN110969215B (en) | Clustering processing method and device, storage medium and electronic device | |
| CN106559749B (en) | Multi-target passive positioning method based on radio frequency tomography | |
| CN109765539A (en) | Indoor user behavior monitoring method and apparatus, electrical equipment and home furnishing monitoring system | |
| CN116778292B (en) | Method, device, equipment and storage medium for fusing space-time trajectories of multi-mode vehicles | |
| CN112770265B (en) | Pedestrian identity information acquisition method, system, server and storage medium | |
| CN102254394A (en) | Antitheft monitoring method for poles and towers in power transmission line based on video difference analysis | |
| CN110022530B (en) | Wireless positioning method and system for underground space | |
| CN111311957A (en) | Parking guidance system based on RFID and unmanned aerial vehicle and working method | |
| CN117541984A (en) | Intelligent monitoring security system and method based on Internet of things | |
| Wei et al. | MM-Loc: Cross-sensor indoor smartphone location tracking using multimodal deep neural networks | |
| CN114065340A (en) | Construction site safety monitoring method and system based on machine learning and storage medium | |
| CN109379716B (en) | Indoor positioning method and system for security monitoring project | |
| CN104063884A (en) | Image target recognition method based on combination of motion prediction and multi-template matching | |
| CN116823139A (en) | Intelligent building site management method and device based on Internet of things and electronic equipment | |
| Siddiqui | UWB RTLS for construction equipment localization: experimental performance analysis and fusion with video data | |
| CN115953815A (en) | Monitoring method and device for infrastructure site | |
| CN111836196B (en) | Indoor positioning method and system | |
| Kozłowski et al. | H4LO: automation platform for efficient RF fingerprinting using SLAM‐derived map and poses | |
| JP5829855B2 (en) | Mobile monitoring system | |
| CN111954188B (en) | Robot control method, device, terminal and medium | |
| JP2014170284A (en) | Moving object monitoring system | |
| Ma et al. | Detecting pedestrians behavior in building based on Wi-Fi signals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |