CN114368692B - Intelligent tower crane Internet of things cooperation method and system - Google Patents
Intelligent tower crane Internet of things cooperation method and system Download PDFInfo
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- CN114368692B CN114368692B CN202210274801.1A CN202210274801A CN114368692B CN 114368692 B CN114368692 B CN 114368692B CN 202210274801 A CN202210274801 A CN 202210274801A CN 114368692 B CN114368692 B CN 114368692B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/18—Control systems or devices
- B66C13/48—Automatic control of crane drives for producing a single or repeated working cycle; Programme control
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/18—Control systems or devices
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Abstract
The embodiment of the application provides an intelligent tower crane Internet of things cooperation method and system. The method comprises the following steps: in a manual control mode, starting a fingerprint identification device to collect fingerprint information of an operator, identifying the fingerprint information to confirm identity information of the operator, searching and matching a plurality of corresponding idle tower cranes in a preset tower crane task library according to the identity information of the operator, and forming a list for selecting and executing the tower cranes; in the automatic control mode, starting a barrier sensor arranged on each tower crane arranged on a construction site, and determining an idle tower crane as an execution tower crane according to the barrier information around each tower crane; and sending the preset tower crane task to an execution tower crane selected by an operator in a manual control mode or the execution tower crane determined in an automatic control mode, and executing the corresponding tower crane task. This application is according to the control room whether someone intelligent switching tower crane's control mode to whether according to personnel's identity information look for rather than the idle tower crane of matching and supply the selection, perhaps whether have barrier information to look for suitable idle tower crane around the tower crane automatically, improved the security of efficiency of construction and control.
Description
Technical Field
The application relates to the technical field of intelligent tower cranes, in particular to an intelligent tower crane Internet of things cooperation method and system.
Background
At present, the tower crane is basically operated and controlled by personnel in a central control room on the tower crane, or is remotely operated and controlled in real time through operators. In the tower crane industry, the current development direction is unmanned tower cranes and intelligent tower cranes, so that a lot of technical problems can be encountered in the industrial upgrading process.
The control of the existing intelligent tower crane can be divided into manual control and automatic unmanned control, and the switching of the two control modes requires manual operation and switching, so that intelligent switching cannot be realized; and when idle tower cranes appear on the construction site, idle tower crane resources cannot be effectively utilized, so that the construction cost is increased, and the period is prolonged.
Disclosure of Invention
In view of this, the application aims to provide an intelligent tower crane internet of things coordination method and system, and the method and system can be used for pertinently solving the problems of existing tower crane control and idle tower crane calling.
Based on the purpose, the application provides an intelligent tower crane Internet of things cooperation method, which comprises the following steps:
arranging a pressure sensor and a fingerprint identification device in a tower crane control room, wherein the pressure sensor is arranged below an operation seat of the control room, the fingerprint identification device is positioned at the operation position of a tower crane controller, and a plurality of obstacle sensors are arranged on each tower crane;
The pressure sensor senses a pressure value of the operating seat, and when the pressure value is within a preset range, the control mode of the tower crane controller is switched to a manual control mode; when the pressure value is not within a preset range, switching the control mode of the tower crane controller to an automatic control mode;
in the manual control mode, starting a fingerprint identification device to collect fingerprint information of an operator, identifying the fingerprint information to confirm identity information of the operator, searching and matching a plurality of corresponding idle tower cranes in a preset tower crane task library according to the identity information of the operator to form a list for selecting to execute the tower cranes;
in an automatic control mode, starting a barrier sensor arranged on each tower crane arranged on a construction site, and determining an idle tower crane as an execution tower crane according to barrier information around each tower crane;
and sending the preset tower crane task to an execution tower crane selected by an operator in a manual control mode or an execution tower crane determined in an automatic control mode to execute the corresponding tower crane task.
Further, the tower crane controller comprises a switch, a key, an instrument, an indicator light and an operating lever which are operated by the tower crane.
Further, discernment fingerprint information is with confirming operating personnel's identity information, according to personnel's identity information searches for a plurality of idle tower cranes that match and correspond in predetermineeing the tower crane task storehouse, constitutes the list and supplies the selection to carry out the tower crane, includes:
acquiring an enrolled fingerprint having a plurality of ridge curves and valleys; determining a directional field of the enrolled fingerprint; extracting minutiae from the enrolled fingerprints; creating an enrolled fingerprint template of an enrolled fingerprint; and storing the enrolled fingerprint template in a database;
acquiring an unknown fingerprint; determining a direction field of an unknown fingerprint; extracting minutiae from the unknown fingerprint; creating an unknown fingerprint template; comparing the unknown fingerprint template with the registered fingerprint template; determining the number of extracted minutiae in the unknown fingerprint template which are matched with the extracted minutiae of the registered fingerprint template; and providing an indication that the unknown fingerprint and the enrolled fingerprint are a match if the number of matched extracted minutiae exceeds a predetermined threshold, otherwise indicating that the unknown fingerprint and the enrolled fingerprint are not a match;
confirming identity information of an operator according to the matched registered fingerprint;
and searching in a personnel identity information field in a preset tower crane task library according to the identity information of the personnel, and forming a list by using a plurality of corresponding idle tower cranes in a hit result as an output result.
Further, the method also comprises the following steps: determining a registered block size such that registered fingerprint ridge curves can be approximated by parallel straight lines; and blocking the enrolled fingerprint using the enrolled block size to form a blocked enrolled fingerprint.
Further, still include: a step of separating foreground blocks from background blocks of the enrolled fingerprint, thereby forming an enhanced enrolled image.
Further, the step of separating foreground blocks from background blocks of the enrolled fingerprint comprises the steps of:
calculating, for each registered block in the registered fingerprint, a mean and variance of pixel gray levels within the block;
selecting each block with variance smaller than a preset variance threshold and mean larger than a preset mean threshold as a foreground block of the registered fingerprint;
and determining a registered convex hull defined by the center of each registered block selected to be in the foreground;
and testing whether the center of the foreground block not selected for registration is within the defined registration convex hull;
in the case where the center of the registered block under test is within the registered convex hull, the registered block under test is selected as the registered foreground block.
Further, under the automatic control mode, start the obstacle sensor of arranging on every tower crane that construction site arranged, according to the obstacle information around every tower crane, confirm an idle tower crane as carrying out the tower crane, include:
Starting a barrier sensor arranged on each tower crane arranged on a construction site in an automatic control mode;
each obstacle sensor detects whether obstacles influencing a tower crane task exist in a preset range around the obstacle sensor, and position information of the obstacles is sent to a server;
the server filters the tower crane with the obstacles around, and takes the tower crane without the obstacles around as an idle tower crane;
and selecting an idle tower crane closest to a tower crane control room as an execution tower crane.
Based on above-mentioned purpose, this application has still provided an intelligence tower crane thing networking cooperative system, includes:
the system comprises an Internet of things coordination module, a tower crane controller and a plurality of obstacle sensors, wherein the Internet of things coordination module is used for arranging a pressure sensor and a fingerprint identification device in a tower crane control room, the pressure sensor is arranged below an operation seat of the control room, the fingerprint identification device is positioned at the operation position of the tower crane controller, and the plurality of obstacle sensors are arranged on each tower crane;
the mode switching module is used for sensing a pressure value of the operating seat by the pressure sensor and switching the control mode of the tower crane controller into a manual control mode when the pressure value is within a preset range; when the pressure value is not within a preset range, switching the control mode of the tower crane controller to an automatic control mode;
The identity identification selection module is used for starting a fingerprint identification device to collect fingerprint information of an operator in the manual control mode, identifying the fingerprint information to confirm the identity information of the operator, searching and matching a plurality of corresponding idle tower cranes in a preset tower crane task library according to the identity information of the operator to form a list for selecting and executing the tower cranes;
the obstacle identification selection module is used for starting an obstacle sensor arranged on each tower crane arranged on a construction site in an automatic control mode, and determining an idle tower crane as an execution tower crane according to obstacle information around each tower crane;
and the task execution module is used for sending the preset tower crane task to an execution tower crane selected by an operator in a manual control mode or the execution tower crane determined in an automatic control mode to execute the corresponding tower crane task.
Generally, the advantages of the present application and the experience brought to the user are:
this application is according to the control room whether someone intelligent switching tower crane's control mode to whether according to personnel's identity information look for rather than the idle tower crane of matching and supply the selection, perhaps whether have barrier information to look for suitable idle tower crane around the tower crane automatically, improved the security of efficiency of construction and control.
Drawings
In the drawings, like reference characters designate like or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are not to be considered limiting of its scope.
Fig. 1 shows a schematic diagram of the system architecture of the present application.
Fig. 2 shows a flow chart of an intelligent tower crane internet of things cooperation method according to the embodiment of the application.
Fig. 3 shows a structural diagram of an intelligent tower crane internet of things coordination system according to the embodiment of the application.
FIG. 4 is a schematic diagram illustrating an electronic device according to an embodiment of the present application;
fig. 5 is a schematic diagram of a storage medium according to an embodiment of the present application.
Description of reference numerals:
the system comprises an internet of things coordination module 501, a mode switching module 502, an identity identification selection module 503, an obstacle identification selection module 504 and a task execution module 505
Electronic device 2, processor 200, memory 201, bus 202, communication interface 203
An optical disc 30.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 shows a schematic diagram of the system architecture of the present application. In the embodiment of the application, the equipment comprises a plurality of controlled tower cranes in a construction site, a tower crane controller in a control room, a pressure sensor, a fingerprint identification device and the like.
The tower crane controller comprises a tower crane operation switch, a key, an instrument, an indicator light and an operating lever. A plurality of cameras and a construction tower crane are arranged on a construction site in a one-to-one correspondence mode.
For example, the tower crane controller may be a linked console consisting of protective left and right control boxes, movable seats and foot switches. The right case houses an emergency switch and the left case houses an electric lock, a start button and an indicator light, or other components. The operating handle is spherical. In order to avoid the misoperation of the operating mechanism caused by the vibration and the accidental collision of the crane, the handle is provided with a zero position self-locking device. The handle consists of an upper hemisphere and a lower hemisphere, and the handle can leave the zero position and operate the mechanism only when the lower hemisphere is held. When the handle leaves the zero position, the lower hemisphere can be loosened to continue the operation. If the reverse connection braking parking is frequently adopted, when the inconvenience is felt, the lower hemisphere of the handle can be lifted and then rotated clockwise, so that the lower hemisphere is fixed at the lifting position, and the zero position self-locking device does not work. The six-mechanism rear handle is provided with a push-down zero self-locking device. The mechanical transmission part is arranged in a cover at the upper part of the box body, and the transmission mechanism is divided into a single-handle linkage operating mechanism, a grab bucket double-handle operating mechanism, a main and auxiliary hook double-handle operating mechanism, a single-handle operating mechanism and a single-handle horizontal operating mechanism. The handle movement is achieved by driving the cam shaft with straight-toothed gears. The cam shaft of the controller is vertically arranged, and all fulcrums of the transmission part use rolling bearings so as to reduce power loss.
Fig. 2 shows a flow chart of an intelligent tower crane internet of things cooperation method according to the embodiment of the application. As shown in fig. 2, the intelligent tower crane internet of things cooperation method includes:
step 101: arranging a pressure sensor and a fingerprint identification device in a tower crane control room, wherein the pressure sensor is arranged below an operation seat of the control room, the fingerprint identification device is positioned at the operation position of a tower crane controller, and a plurality of obstacle sensors are arranged on each tower crane;
step 102: the pressure sensor senses a pressure value of the operating seat, and when the pressure value is within a preset range, the control mode of the tower crane controller is switched to a manual control mode; and when the pressure value is not within the preset range, switching the control mode of the tower crane controller to an automatic control mode.
In this embodiment, the pressure sensor may be a ceramic pressure sensor, but other types of pressure sensors may also be implemented. By collecting the pressure condition of the operating seat, for example, the weight of a general person is between 80 jin and 250 jin, if the pressure value is in the interval, the person can be considered to be sitting on the operating seat. When people are on the operating platform, manual control can be switched to, and the tower crane operation is carried out by people. When the operation panel is unattended, the operation panel can be timely switched to an unmanned automatic control mode to continue to execute the construction task of the tower crane, so that the semi-automatic control of the transmission of the tower crane is realized, the tower crane can be operated no matter whether people exist in the control panel or not, and the construction efficiency is improved.
Step 103: under the manual control mode, start fingerprint identification device and gather operating personnel's fingerprint information, discern fingerprint information is in order to confirm operating personnel's identity information, according to personnel's identity information searches for a plurality of idle tower cranes that match and correspond in predetermineeing the tower crane task storehouse, constitutes the list and supplies the selection to carry out the tower crane, include:
acquiring an enrolled fingerprint having a plurality of ridge curves and valleys; determining a directional field of the enrolled fingerprint; extracting minutiae from the enrolled fingerprints; creating an enrolled fingerprint template of an enrolled fingerprint; and storing the enrolled fingerprint template in a database;
acquiring an unknown fingerprint; determining a direction field of an unknown fingerprint; extracting minutiae from the unknown fingerprint; creating an unknown fingerprint template; comparing the unknown fingerprint template with the registered fingerprint template; determining the number of extracted minutiae in the unknown fingerprint template which are matched with the extracted minutiae of the registered fingerprint template; and providing an indication that the unknown fingerprint and the enrolled fingerprint are a match if the number of matched extracted minutiae exceeds a predetermined threshold, otherwise indicating that the unknown fingerprint and the enrolled fingerprint are not a match;
confirming identity information of an operator according to the matched registered fingerprint;
Searching in a personnel identity information field in a preset tower crane task library according to the identity information of the personnel, and forming a list by using a plurality of corresponding idle tower cranes in a hit result as an output result.
In the embodiment, according to the personnel identity information field search of the personnel identity information in the preset tower crane task library, a list is formed by a plurality of corresponding idle tower cranes in the hit result and is used as the output result. Therefore, the operation of the tower crane can be guaranteed to be carried out by authorized personnel, and the tower crane is refused to be operated by unauthorized personnel or personnel which cannot be identified by fingerprint identification, so that the safety of tower crane construction is guaranteed.
Optionally, step 103 further includes the following steps: determining a registered block size such that registered fingerprint ridge curves can be approximated by parallel straight lines; and blocking the enrolled fingerprint using the enrolled block size to form a blocked enrolled fingerprint.
Optionally, step 103 further includes: the step of separating foreground blocks from background blocks of an enrolled fingerprint to form an enhanced enrolled image, for example comprising the steps of:
calculating, for each registered block in the registered fingerprint, a mean and variance of pixel gray levels within the block;
Selecting each block having a variance less than a predetermined variance threshold and a mean greater than a predetermined mean threshold as a foreground block of the enrolled fingerprint;
and determining a registration convex hull defined by the center of each registration block selected to be in the foreground;
and testing whether the center of a foreground block not selected for registration is within the defined registration convex hull;
in the case where the center of the registered block under test is within the registered convex hull, the registered block under test is selected as the registered foreground block.
So, this embodiment has effectively guaranteed the security of tower crane operation through fingerprint identification.
Step 104: under the automatic control mode, the barrier sensor of arranging on starting the every tower crane that construction site arranged, according to the barrier information around every tower crane, confirms an idle tower crane as carrying out the tower crane, include:
starting a barrier sensor arranged on each tower crane arranged on a construction site in an automatic control mode;
each obstacle sensor detects whether obstacles influencing a tower crane task exist in a preset range around the obstacle sensor, and sends position information of the obstacles to a server;
the server filters the tower crane with the obstacles around, and takes the tower crane without the obstacles around as an idle tower crane;
And selecting an idle tower crane closest to a tower crane control room as an execution tower crane.
Therefore, whether the suitable idle tower crane is found according to the obstacle information around the tower crane automatically or not is achieved in the step, and the construction efficiency and the control safety are improved.
For example, in the four tower cranes in fig. 1, too many obstacles are arranged on the tower crane task path around the upper two tower cranes, which results in large difficulty in manual operation, or the path planning is complicated in an automatic control mode, and the two tower cranes are not selected to execute the tower crane task. For the following two tower cranes, because no barrier exists on the task path of the tower crane around, the difficulty of manual operation is small, or the path planning is simple in an automatic control mode, the tower crane closest to the control room in the two tower cranes is selected to execute the task of the tower crane, so that once an operator returns to the control room, the tower crane can be operated and controlled nearby, and observation and treatment are facilitated.
Step 105: and sending the preset tower crane task to an execution tower crane selected by an operator in a manual control mode or an execution tower crane determined in an automatic control mode to execute the corresponding tower crane task.
For example, after an operator selects a certain idle tower crane as an execution tower crane in a manual control mode or confirms the execution tower crane in an automatic control mode, the remote control can be performed on the controlled tower crane according to the tower crane task to be executed, so that the corresponding tower crane task is executed.
This application is according to the control room whether someone intelligent switching tower crane's control mode to whether according to personnel's identity information look for rather than the idle tower crane of matching and supply the selection, perhaps whether have barrier information to look for suitable idle tower crane around the tower crane automatically, improved the security of efficiency of construction and control.
The application embodiment provides an intelligent tower crane internet of things coordination system, which is used for executing the intelligent tower crane internet of things coordination method in the embodiment, and as shown in fig. 3, the system comprises:
the internet of things coordination module 501 is used for arranging a pressure sensor and a fingerprint identification device in a tower crane control room, wherein the pressure sensor is arranged below an operation seat of the control room, the fingerprint identification device is positioned at an operation position of a tower crane controller, and a plurality of obstacle sensors are arranged on each tower crane;
a mode switching module 502, configured to sense a pressure value of the operating seat by the pressure sensor, and switch a control mode of the tower crane controller to a manual control mode when the pressure value is within a preset range; when the pressure value is not within a preset range, switching the control mode of the tower crane controller to an automatic control mode;
The identity recognition selection module 503 is configured to, in the manual control mode, start a fingerprint recognition device to collect fingerprint information of an operator, recognize the fingerprint information to confirm the identity information of the operator, search and match a plurality of corresponding idle tower cranes in a preset tower crane task library according to the identity information of the operator, and form a list for selecting an execution tower crane;
the obstacle identification selection module 504 is used for starting an obstacle sensor arranged on each tower crane arranged on a construction site in an automatic control mode, and determining an idle tower crane as an execution tower crane according to obstacle information around each tower crane;
and the task execution module 505 is configured to send a preset tower crane task to an execution tower crane selected by an operator in a manual control mode or an execution tower crane determined in an automatic control mode, and execute a corresponding tower crane task.
The intelligent tower crane Internet of things coordination system provided by the embodiment of the application and the intelligent tower crane Internet of things coordination method provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as methods adopted, operated or realized by application programs stored in the intelligent tower crane Internet of things coordination system.
The embodiment of the application further provides electronic equipment corresponding to the intelligent tower crane Internet of things cooperation method provided by the embodiment so as to execute the intelligent tower crane Internet of things cooperation method. The embodiments of the present application are not limited.
Referring to fig. 4, a schematic diagram of an electronic device provided in some embodiments of the present application is shown. As shown in fig. 4, the electronic device 2 includes: a processor 200, a memory 201, a bus 202 and a communication interface 203, wherein the processor 200, the communication interface 203 and the memory 201 are connected through the bus 202; the memory 201 stores a computer program which can be run on the processor 200, and when the processor 200 runs the computer program, the intelligent tower crane internet of things coordination method provided by any one of the foregoing embodiments of the present application is executed.
The Memory 201 may include a Random Access Memory (RAM) and a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 203 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like may be used.
The processor 200 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 200. The Processor 200 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201 and completes the steps of the method in combination with the hardware thereof.
The electronic equipment provided by the embodiment of the application and the intelligent tower crane Internet of things cooperation method provided by the embodiment of the application are based on the same inventive concept, and have the same beneficial effects as the method adopted, operated or realized by the electronic equipment.
Referring to fig. 5, the computer-readable storage medium is an optical disc 30, and a computer program (i.e., a program product) is stored on the optical disc, and when the computer program is executed by a processor, the intelligent tower crane internet of things cooperation method provided by any of the foregoing embodiments is executed.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memories (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above embodiment of the application and the intelligent tower crane internet of things cooperation method provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as methods adopted, operated or realized by application programs stored in the computer-readable storage medium.
It should be noted that:
the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, this application is not directed to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the present application as described herein, and any descriptions of specific languages are provided above to disclose the best modes of the present application.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore, may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in a virtual machine creation system according to embodiments of the present application. The present application may also be embodied as apparatus or system programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several systems, several of these systems may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various changes or substitutions within the technical scope of the present application, and these should be covered by 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 tower crane Internet of things cooperation method is characterized by comprising the following steps:
arranging a pressure sensor and a fingerprint identification device in a tower crane control room, wherein the pressure sensor is arranged below an operation seat of the control room, the fingerprint identification device is positioned at the operation position of a tower crane controller, and a plurality of obstacle sensors are arranged on each tower crane;
the pressure sensor senses a pressure value of the operating seat, and when the pressure value is within a preset range, the control mode of the tower crane controller is switched to a manual control mode; when the pressure value is not within a preset range, switching the control mode of the tower crane controller to an automatic control mode;
in the manual control mode, starting a fingerprint identification device to collect fingerprint information of an operator, identifying the fingerprint information to confirm identity information of the operator, searching and matching a plurality of corresponding idle tower cranes in a preset tower crane task library according to the identity information of the operator to form a list for selecting to execute the tower cranes;
In an automatic control mode, starting a barrier sensor arranged on each tower crane arranged on a construction site, and determining an idle tower crane as an execution tower crane according to barrier information around each tower crane;
and sending the preset tower crane task to an execution tower crane selected by an operator in a manual control mode or an execution tower crane determined in an automatic control mode to execute the corresponding tower crane task.
2. The method of claim 1,
the tower crane controller comprises a switch, a key, an instrument, an indicator light and an operating rod which are operated by the tower crane.
3. The method of claim 2,
the identification fingerprint information is in order to confirm operating personnel's identity information, according to personnel's identity information searches for a plurality of idle tower cranes that match and correspond in predetermineeing the tower crane task storehouse, constitutes the list and supplies the selection to carry out the tower crane, includes:
acquiring an enrolled fingerprint having a plurality of ridge curves and valleys; determining a directional field of the enrolled fingerprint; extracting minutiae from the enrolled fingerprints; creating an enrolled fingerprint template of an enrolled fingerprint; and storing the enrolled fingerprint template in a database;
acquiring an unknown fingerprint; determining a direction field of an unknown fingerprint; extracting minutiae from the unknown fingerprint; creating an unknown fingerprint template; comparing the unknown fingerprint template with the registered fingerprint template; determining the number of extracted minutiae in the unknown fingerprint template which are matched with the extracted minutiae of the registered fingerprint template; and providing an indication that the unknown fingerprint and the enrolled fingerprint are a match if the number of matched extracted minutiae exceeds a predetermined threshold, otherwise indicating that the unknown fingerprint and the enrolled fingerprint are not a match;
Confirming identity information of an operator according to the matched registered fingerprint;
and searching in a personnel identity information field in a preset tower crane task library according to the identity information of the personnel, and forming a list by using a plurality of corresponding idle tower cranes in a hit result as an output result.
4. The method of claim 3,
further comprising the steps of: determining a registered block size such that registered fingerprint ridge curves can be approximated by parallel straight lines; and blocking the enrolled fingerprint using the enrolled block size to form a blocked enrolled fingerprint.
5. The method of claim 4,
further comprising: a step of separating foreground blocks from background blocks of the enrolled fingerprint, thereby forming an enhanced enrolled image.
6. The method of claim 5,
the step of separating foreground blocks from background blocks of an enrolled fingerprint comprises the steps of:
calculating, for each registered block in the registered fingerprint, a mean and variance of pixel gray levels within the block;
selecting each block with variance smaller than a preset variance threshold and mean larger than a preset mean threshold as a foreground block of the registered fingerprint;
And determining a registration convex hull defined by the center of each registration block selected to be in the foreground;
and testing whether the center of a foreground block not selected for registration is within the defined registration convex hull;
in the case where the center of the registered block under test is within the registered convex hull, the registered block under test is selected as the registered foreground block.
7. The method of claim 6,
under the automatic control mode, the barrier sensor of arranging on starting the every tower crane that construction site arranged, according to the barrier information around every tower crane, confirm an idle tower crane as carrying out the tower crane, include:
starting an obstacle sensor arranged on each tower crane arranged on a construction site in an automatic control mode;
each obstacle sensor detects whether obstacles influencing a tower crane task exist in a preset range around the obstacle sensor, and position information of the obstacles is sent to a server;
the server filters the tower crane with the obstacles around, and takes the tower crane without the obstacles around as an idle tower crane;
and selecting an idle tower crane closest to a tower crane control room as an execution tower crane.
8. The utility model provides an intelligence tower crane thing networking cooperative system which characterized in that includes:
The system comprises an Internet of things coordination module (501) and a control room of the tower crane, wherein the Internet of things coordination module is used for arranging a pressure sensor and a fingerprint identification device in the control room, the pressure sensor is arranged below an operation seat of the control room, the fingerprint identification device is positioned at the operation position of a tower crane controller, and a plurality of obstacle sensors are arranged on each tower crane;
the mode switching module (502) is used for sensing a pressure value of the operating seat by the pressure sensor and switching the control mode of the tower crane controller into a manual control mode when the pressure value is within a preset range; when the pressure value is not within a preset range, switching the control mode of the tower crane controller to an automatic control mode;
the identity recognition selection module (503) is used for starting a fingerprint recognition device to collect fingerprint information of an operator in the manual control mode, recognizing the fingerprint information to confirm the identity information of the operator, searching and matching a plurality of corresponding idle tower cranes in a preset tower crane task library according to the identity information of the operator, and forming a list for selecting and executing the tower cranes;
the obstacle identification selection module (504) is used for starting an obstacle sensor arranged on each tower crane arranged on a construction site in an automatic control mode, and determining an idle tower crane as an execution tower crane according to obstacle information around each tower crane;
And the task execution module (505) is used for sending the preset tower crane task to an execution tower crane selected by an operator in a manual control mode or the execution tower crane determined in an automatic control mode, and executing the corresponding tower crane task.
9. An electronic device (2) comprising a memory (201), a processor (200) and a computer program stored on the memory (201) and executable on the processor (200), characterized in that the processor (200) executes the computer program to implement the method according to any of claims 1-7.
10. A computer-readable storage medium (30) on which a computer program is stored, characterized in that the program is executed by a processor (200) to implement the method according to any one of claims 1-7.
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Denomination of invention: Intelligent tower crane IoT collaboration method and system Effective date of registration: 20230222 Granted publication date: 20220614 Pledgee: Zhejiang Xiaoshan rural commercial bank Limited by Share Ltd. Jingjiang branch Pledgor: HANGZHOU JIE DRIVE TECHNOLOGY Co.,Ltd. Registration number: Y2023980033135 |