CN113938501A - Self-organizing internet-of-things communication system and method for intelligent tower crane cluster cooperation - Google Patents
Self-organizing internet-of-things communication system and method for intelligent tower crane cluster cooperation Download PDFInfo
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- CN113938501A CN113938501A CN202111075820.3A CN202111075820A CN113938501A CN 113938501 A CN113938501 A CN 113938501A CN 202111075820 A CN202111075820 A CN 202111075820A CN 113938501 A CN113938501 A CN 113938501A
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Abstract
The invention discloses a self-organized Internet of things communication system and a self-organized Internet of things communication method for intelligent tower crane cluster cooperation, which realize the distribution of operation tasks through an operation task cooperation module, clarify cooperative operation partitions to which the operation tasks belong, virtually simulate different cooperative operation partitions, further realize the prediction of operation conflicts according to simulation results, and immediately modify and debug the operation conflicts, thereby avoiding the operation conflicts of a large intelligent tower crane cluster, realizing the self-organized communication among an intelligent tower crane, auxiliary equipment and target materials by utilizing the Internet of things cluster, being beneficial to the cooperative operation of the large intelligent tower crane cluster and reducing potential safety hazards.
Description
Technical Field
The invention relates to the technical field of intelligent tower cranes, in particular to a self-organizing internet of things communication system and a method for intelligent tower crane cluster cooperation.
Background
A tower crane, namely a tower crane, is an important engineering facility, can perform moving transportation, hoisting and the like in the vertical direction and the horizontal direction on large materials through actions such as lifting, amplitude variation, rotation and the like, can be widely applied to scenes such as construction sites and the like, and the traditional tower crane needs a driver to drive in an operation cabin and depends on the skill and experience of the driver.
Especially, in large-scale building engineering, a plurality of tower cranes need to be deployed and combined to form a tower crane cluster, so that the tower crane cluster is required to cooperate to complete a transportation task, space and material conflicts in operation are strictly avoided, and potential safety hazards are prevented. In the prior art, the cooperative dispatching is generally carried out by depending on the talkback communication of a dispatcher and a plurality of tower crane drivers, the working difficulty is high, the subjective dependence of human experience is strong, the conflict is easy to occur, and the potential safety hazard exists.
Therefore, how to realize the cooperative operation of the large intelligent tower crane cluster and avoid operation conflicts is a problem to be urgently solved by technical personnel in the field.
Disclosure of Invention
In view of the problems, the invention aims to solve the problems that the cooperative operation of the existing tower crane cluster depends on the talkback communication of a dispatcher and a plurality of tower crane drivers, the working difficulty is high, the subjective dependence of human experience is strong, the conflict is easy to occur, and the potential safety hazard exists, realize the cooperative operation of the large intelligent tower crane cluster, and avoid the operation conflict.
The embodiment of the invention provides a self-organizing internet of things communication system for intelligent tower crane cluster cooperation, which comprises: the system comprises a building engineering partition module, a 4D interactive interface, an operation task coordination distribution module and a cluster self-organization module;
the construction project partition module is connected with the 4D interactive interface and the operation task coordination distribution module and used for acquiring construction project data, dividing the construction project according to the construction project data, the position relation between the construction project and the tower crane and the effective operation area of the tower crane and generating a collaborative operation partition;
the 4D interactive interface is connected with the operation task coordination distribution module and used for collecting operation tasks and determining operation target materials, operation space positioning and operation time sequences corresponding to the operation tasks by using the constructional engineering data;
the operation task coordination and allocation module is used for allocating the operation tasks to the cooperative operation partitions according to the operation target materials, the operation space positioning and the operation time sequence, performing virtual operation simulation on the operation tasks corresponding to the cooperative operation partitions, and generating virtual operation authentication results;
the cluster self-organization module is connected with the job task coordination distribution module and used for analyzing the job tasks into a time sequence instruction based on a virtual job authentication result and transmitting the time sequence instruction to the cooperative job partition for operation.
In one embodiment, further comprising: a support reservoir;
the supporting library is connected with the construction engineering partition module and used for establishing supporting data of a construction engineering three-dimensional model and an intelligent tower crane three-dimensional model based on the construction engineering data.
In one embodiment, the performing virtual job simulation on the job task corresponding to the collaborative job partition to generate a virtual job authentication result includes:
and calling the support data, performing virtual job simulation on the job task according to the support data and the prediction environment data to generate virtual job log data, judging the risk of the job task and the influence between the collaborative job partitions based on the virtual job log data, and generating a virtual job authentication result according to a judgment result.
In one embodiment, further comprising: a field tracking coordination module;
the field tracking coordination module is connected with the operation task coordination distribution module and used for acquiring the operation data of the Internet of things cluster, fitting the operation data of the Internet of things cluster with the virtual operation log data and controlling the operation of the Internet of things cluster according to the fitting result.
In one embodiment, the cluster ad-hoc module comprises: the system comprises a time sequence instruction distribution unit and an Internet of things cluster generation unit;
the time sequence instruction distribution unit is connected with the Internet of things cluster generation unit and is used for analyzing the job task into a time sequence instruction based on a virtual job authentication result and distributing the time sequence instruction to the cooperative job partition;
the Internet of things cluster generating unit is used for collecting the intelligent tower crane, the auxiliary equipment and the operation target materials in the collaborative operation partition according to the time sequence instruction to generate an Internet of things cluster, and the Internet of things cluster cooperatively executes the time sequence instruction.
Based on the above purpose, in a second aspect of the present application, there is also provided an ad hoc networking communication method for intelligent tower crane cluster cooperation, including:
the building engineering partition module acquires building engineering data, and divides the building engineering according to the building engineering data, the position relation between the building engineering and the tower crane and the effective operation area of the tower crane to generate a cooperative operation partition;
the 4D interactive interface collects an operation task, and determines an operation target material, an operation space positioning and an operation time sequence corresponding to the operation task by using the constructional engineering data;
the operation task coordination and distribution module distributes the operation tasks to the cooperative operation subareas according to the operation target materials, the operation space positioning and the operation time sequence, performs virtual operation simulation on the operation tasks corresponding to the cooperative operation subareas, and generates a virtual operation authentication result;
and the cluster self-organization module analyzes the job task into a time sequence instruction based on a virtual job authentication result, and transmits the time sequence instruction to the cooperative job partition for operation.
In one embodiment, further comprising:
and the support library establishes support data of the three-dimensional model of the construction engineering and the three-dimensional model of the intelligent tower crane based on the construction engineering data.
In one embodiment, the performing virtual job simulation on the job task corresponding to the collaborative job partition to generate a virtual job authentication result includes:
and calling the support data, performing virtual job simulation on the job task according to the support data and the prediction environment data to generate virtual job log data, judging the risk of the job task and the influence between the collaborative job partitions based on the virtual job log data, and generating a virtual job authentication result according to a judgment result.
In one embodiment, further comprising:
and the field tracking cooperation module collects the operation data of the Internet of things cluster, fits the operation data of the Internet of things cluster with the virtual operation log data, and controls the operation of the Internet of things cluster according to the fitting result.
In one embodiment, the parsing, by the cluster ad hoc module, the job task into a timing instruction based on a virtual job authentication result, and transmitting the timing instruction to the cooperative job partition for performing a job includes:
the time sequence instruction distribution unit analyzes the operation task into a time sequence instruction based on a virtual operation authentication result and distributes the time sequence instruction to the cooperative operation partition;
and the Internet of things cluster generating unit is used for collecting the intelligent tower crane, the auxiliary equipment and the operation target material in the collaborative operation partition according to the time sequence instruction to generate an Internet of things cluster, and the Internet of things cluster cooperatively executes the time sequence instruction.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
according to the self-organizing Internet of things communication system and method for intelligent tower crane cluster cooperation, the system achieves allocation of operation tasks through the operation task cooperation module, confirms the cooperation operation partition to which the operation tasks belong, performs virtual simulation on different cooperation operation partitions, achieves prediction of operation conflicts according to simulation results, performs real-time modification and debugging on the operation conflicts, avoids operation conflicts of a large intelligent tower crane cluster, achieves self-organizing communication among an intelligent tower crane, auxiliary equipment and a target material by means of the Internet of things cluster, facilitates cooperative operation of the large intelligent tower crane cluster, and reduces potential safety hazards.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of an ad hoc internet of things communication system for intelligent tower crane cluster cooperation according to an embodiment of the present invention;
FIG. 2 is a flow chart of a self-organizing Internet of things communication method for intelligent tower crane cluster cooperation provided by the embodiment of the invention;
fig. 3 is a flowchart of step S204 according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Referring to fig. 1, an ad hoc internet of things communication system for intelligent tower crane cluster cooperation provided in an embodiment of the present invention includes: the system comprises a building engineering partitioning module 1, a 4D interactive interface 2, an operation task coordination distribution module 3 and a cluster self-organization module 4;
the construction project partition module 1 is connected with the 4D interactive interface 2 and the operation task coordination distribution module 3 and used for obtaining construction project data and dividing the construction project according to the construction project data, the position relation of the construction project and the tower crane and the effective operation area of the tower crane to generate a collaborative operation partition.
Specifically, BIM (Building Information Modeling) data is obtained, and a Building engineering three-dimensional model and a tower crane three-dimensional model are extracted based on the BIM data. Presetting an effective operation area of a tower crane, dividing the building engineering into cooperative operation partitions from a three-dimensional space according to the three-dimensional position relation between the building engineering and the tower crane, the effective operation area of the tower crane, the three-dimensional model of the building engineering and the three-dimensional model of the tower crane, configuring each cooperative operation partition to an intelligent tower crane, and allowing the cooperative operation partitions of different intelligent tower cranes to coincide; and necessary auxiliary equipment (such as a transport cart, a video monitoring device) and the like are also configured for each cooperative work partition.
Further, the concrete steps of dividing the building engineering into the collaborative operation subareas from the three-dimensional space are as follows: determining the area of a construction project area covered by the tower crane according to the spatial position relation between the construction project and the tower crane, determining an effective operation area in the construction project area according to the effective operation area of the tower crane, and dividing the construction project according to the effective operation area corresponding to each tower crane; and detecting the space position between the tower cranes with the overlapped building engineering areas based on the three-dimensional tower crane model, if the space position is smaller than a preset threshold value, allocating the overlapped building engineering areas to one of the tower cranes, dividing the overlapped operation areas into the building engineering areas corresponding to the tower cranes, correspondingly reducing the overlapped operation areas by the building engineering areas corresponding to the rest tower cranes, and further determining the cooperative operation partition.
Furthermore, with the progress of the construction engineering, the BIM data can be refreshed periodically, and the updating and the division of the coordination work partition can be carried out according to the BIM data acquired in real time.
The 4D interactive interface 2 is connected with the operation task coordination distribution module 3 and used for collecting operation tasks and determining operation target materials, operation space positioning and operation time sequences corresponding to the operation tasks by using the constructional engineering data.
Specifically, the 4D is a three-dimensional space dimension and a time sequence dimension, the 4D interactive interface 2 collects operation tasks (including material transportation, material hoisting, and the like) issued by a user, and determines target materials of operation, operation space positioning (for example, the materials are transported from an a operation surface of the three-dimensional space of the construction engineering to a B operation surface, and for example, the materials are hoisted to a C operation surface of the three-dimensional space of the construction engineering) and operation time sequences (i.e., a time interval for executing the operation tasks and an execution sequence of each operation task) on the three-dimensional model of the construction engineering for each operation task.
And the operation task coordination and allocation module 3 is configured to allocate the operation tasks to the cooperative operation partitions according to the operation target material, the operation space positioning, and the operation time sequence, perform virtual operation simulation on the operation tasks corresponding to the cooperative operation partitions, and generate a virtual operation authentication result.
Specifically, support data is called, virtual job simulation is performed on the job task according to the support data and prediction environment data, virtual job log data is generated, judgment is performed on risks of the job task and influences among the collaborative job partitions based on the virtual job log data, and a virtual job authentication result is generated according to a judgment result.
Further, virtual operation simulation is carried out on operation tasks distributed by the collaborative operation partitions in the three-dimensional model of the building engineering; in the virtual operation process, relevant data (namely support data) of a three-dimensional model of a building engineering and a three-dimensional model of an intelligent tower crane are called, environmental data (namely predicted environmental data) such as wind speed, rainwater and temperature are collected or predicted according to meteorological monitoring on the engineering site, virtual operation simulation is carried out according to the support data and the predicted environmental data, whether operation obstacles and accident risks exist in a collaborative operation partition or not is judged, and mutual influence among the collaborative operation partitions is further judged.
Specifically, the cooperative operation partition to which the operation task belongs is determined according to the operation target material, the operation space positioning and the operation time sequence, so that the operation task is distributed to the intelligent tower crane and the auxiliary equipment thereof in the corresponding cooperative operation partition.
Further, in the above distribution process, determining the cooperative work partition to which the job task belongs according to the job space location of the job task and the space attribution relationship of the cooperative work partition; detecting time sequence conflict and space conflict according to the operation time sequence and other operation tasks already born by the affiliated cooperative operation partition, and debugging the operation time sequence if the conflict exists; and performing mutual influence analysis on the operation tasks between the cooperative operation area and the spatially adjacent cooperative operation area.
The cluster self-organization module 4 is connected with the job task coordination distribution module 3, and is configured to analyze the job task into a timing sequence instruction based on a virtual job authentication result, and transmit the timing sequence instruction to the cooperative job partition for performing a job.
In the embodiment, the allocation of the operation tasks is realized through the operation task cooperation module, the cooperation operation partition to which the operation tasks belong is made clear, virtual simulation is performed among different cooperation operation partitions, prediction of operation conflicts is realized according to simulation results, and real-time modification and debugging are performed aiming at the operation conflicts, so that the operation conflicts of a large intelligent tower crane cluster are avoided, self-organization communication among an intelligent tower crane, auxiliary equipment and a target material is realized by utilizing the Internet of things cluster, the cooperation operation of the large intelligent tower crane cluster is facilitated, and potential safety hazards are reduced.
In one embodiment, further comprising: a support reservoir 5;
and the supporting library 5 is connected with the construction project partition module 1 and used for establishing supporting data of a construction project three-dimensional model and an intelligent tower crane three-dimensional model based on the construction project data.
Specifically, for the intelligent tower crane three-dimensional model, the support data comprise tower crane operation performance parameters (such as load capacity, material types supported by clamps, safe operation standards and the like), and auxiliary equipment performance parameters; for the three-dimensional model of the constructional engineering, the support data comprise material related parameters (such as accurate size, type, weight, special requirements of hoisting or transportation and the like of materials) and operation surface space parameters (such as area, space size, access limit height, bearing limit weight and the like of an operation surface).
In one embodiment, further comprising: a field tracking coordination module 6;
the field tracking coordination module 6 is connected with the operation task coordination distribution module 3 and used for acquiring the operation data of the Internet of things cluster, fitting the operation data of the Internet of things cluster with the virtual operation log data and controlling the operation of the Internet of things cluster according to the fitting result.
Specifically, in the actual operation process, actual operation data are obtained from an intelligent tower crane and auxiliary equipment of the Internet of things cluster, the operation data and virtual operation log data are fitted, if the deviation degree of the operation data and the virtual operation log data exceeds a preset threshold value, the operation of the cluster is stopped, and the virtual operation is simulated again; and if the deviation degrees of the two operation data meet the preset threshold value, continuously acquiring the next group of operation data and the virtual job log data for fitting.
In one embodiment, the cluster ad hoc module 4 includes: the system comprises a time sequence instruction distribution unit 7 and an Internet of things cluster generation unit 8;
the time sequence instruction distribution unit 7 is connected to the internet of things cluster generation unit 8, and is configured to parse the job task into a time sequence instruction based on a virtual job authentication result, and distribute the time sequence instruction to the collaborative job partition.
Specifically, the time sequence instruction is distributed to the intelligent tower crane and auxiliary equipment thereof in the cooperative operation partition.
And the Internet of things cluster generating unit 8 is used for collecting the intelligent tower crane, the auxiliary equipment and the operation target material in the collaborative operation partition according to the time sequence instruction to generate an Internet of things cluster, and the Internet of things cluster executes the time sequence instruction in a collaborative mode.
Specifically, the intelligent tower crane, the auxiliary equipment and the operation target material in the Internet of things cluster can be in self-organizing communication.
For example, the timing instructions are: transferring the reinforcing steel bars in the cooperative operation partition A to the cooperative operation partition B, forming an Internet of things cluster by the intelligent tower crane a in the cooperative operation partition A, the intelligent tower crane B in the cooperative operation partition B, the reinforcing steel bars and monitoring equipment (auxiliary equipment) according to the time sequence instruction, carrying out communication interaction between the intelligent tower crane a and the intelligent tower crane B according to the time sequence instruction, transferring the reinforcing steel bars in the cooperative operation partition A to the cooperative operation partition B, monitoring the transfer process by the monitoring equipment in real time, and giving an alarm if a sudden situation occurs in the transfer process.
Referring to fig. 2, the self-organizing internet of things communication method for intelligent tower crane cluster cooperation includes:
s201, the architectural engineering partitioning module acquires architectural engineering data, and partitions the architectural engineering according to the architectural engineering data, the position relation between the architectural engineering and the tower crane and the effective operation area of the tower crane to generate a collaborative operation partition.
Specifically, BIM (Building Information Modeling) data is obtained, and a Building engineering three-dimensional model and a tower crane three-dimensional model are extracted based on the BIM data. Presetting an effective operation area of a tower crane, dividing the building engineering into cooperative operation partitions from a three-dimensional space according to the three-dimensional position relation between the building engineering and the tower crane, the effective operation area of the tower crane, the three-dimensional model of the building engineering and the three-dimensional model of the tower crane, configuring each cooperative operation partition to an intelligent tower crane, and allowing the cooperative operation partitions of different intelligent tower cranes to coincide; and necessary auxiliary equipment (such as a transport cart, a video monitoring device) and the like are also configured for each cooperative work partition.
Further, the concrete steps of dividing the building engineering into the collaborative operation subareas from the three-dimensional space are as follows: determining the area of a construction project area covered by the tower crane according to the spatial position relation between the construction project and the tower crane, determining an effective operation area in the construction project area according to the effective operation area of the tower crane, and dividing the construction project according to the effective operation area corresponding to each tower crane; and detecting the space position between the tower cranes with the overlapped building engineering areas based on the three-dimensional tower crane model, if the space position is smaller than a preset threshold value, allocating the overlapped building engineering areas to one of the tower cranes, dividing the overlapped operation areas into the building engineering areas corresponding to the tower cranes, correspondingly reducing the overlapped operation areas by the building engineering areas corresponding to the rest tower cranes, and further determining the cooperative operation partition.
Furthermore, with the progress of the construction engineering, the BIM data can be refreshed periodically, and the updating and the division of the coordination work partition can be carried out according to the BIM data acquired in real time.
S202, collecting an operation task through a 4D interactive interface, and determining an operation target material, an operation space positioning and an operation time sequence corresponding to the operation task by using the constructional engineering data.
Specifically, the 4D is a three-dimensional space dimension and a time sequence dimension, the 4D interaction interface collects operation tasks (including material transportation, material hoisting, and the like) issued by a user, and for each operation task, a target material for operation, an operation space location (for example, the material is transported from an a operation surface of the three-dimensional space of the construction engineering to a B operation surface, and for example, the material is hoisted to a C operation surface of the three-dimensional space of the construction engineering) and an operation time sequence (i.e., a time interval for executing the operation task and an execution sequence of each operation task) are determined on the three-dimensional model of the construction engineering.
And S203, the operation task coordination and allocation module allocates the operation tasks to the cooperative operation partitions according to the operation target materials, the operation space positioning and the operation time sequence, performs virtual operation simulation on the operation tasks corresponding to the cooperative operation partitions, and generates virtual operation authentication results.
Specifically, related data (namely support data) of a three-dimensional model of a building engineering and a three-dimensional model of an intelligent tower crane are called, virtual operation simulation is carried out on the operation task according to the support data and the prediction environment data to generate virtual operation log data, the risk of the operation task and the influence between collaborative operation partitions are judged based on the virtual operation log data, and the virtual operation authentication result is generated according to the judgment result.
Further, virtual operation simulation is carried out on operation tasks distributed by the collaborative operation partitions in the three-dimensional model of the building engineering; in the virtual operation process, support data are called, environmental data (namely predicted environmental data) such as wind speed, rainwater and temperature are collected or predicted according to meteorological monitoring on a project site, virtual operation simulation is carried out according to the support data and the predicted environmental data, whether operation obstacles and accident risks exist in the collaborative operation subarea or not is judged, and mutual influence among the collaborative operation subareas is further judged.
Specifically, the cooperative operation partition to which the operation task belongs is determined according to the operation target material, the operation space positioning and the operation time sequence, so that the operation task is distributed to the intelligent tower crane and the auxiliary equipment thereof in the corresponding cooperative operation partition.
Further, in the above distribution process, determining the cooperative work partition to which the job task belongs according to the job space location of the job task and the space attribution relationship of the cooperative work partition; detecting time sequence conflict and space conflict according to the operation time sequence and other operation tasks already born by the affiliated cooperative operation partition, and debugging the operation time sequence if the conflict exists; and performing mutual influence analysis on the operation tasks between the cooperative operation area and the spatially adjacent cooperative operation area.
And S204, the cluster self-organization module analyzes the job task into a time sequence instruction based on the virtual job authentication result, and transmits the time sequence instruction to the cooperative job partition for operation.
In one embodiment, further comprising:
s205, the support library establishes support data of the three-dimensional model of the building engineering and the three-dimensional model of the intelligent tower crane based on the building engineering data.
Specifically, for the intelligent tower crane three-dimensional model, the support data comprise tower crane operation performance parameters (such as load capacity, material types supported by clamps, safe operation standards and the like), and auxiliary equipment performance parameters; for the three-dimensional model of the constructional engineering, the support data comprise material related parameters (such as accurate size, type, weight, special requirements for hoisting or transportation and the like of materials) and operation surface space parameters (such as area, space size, high access limit, load limit and the like of an operation surface).
In one embodiment, further comprising:
s206, the on-site tracking cooperation module collects the operation data of the Internet of things cluster, fits the operation data of the Internet of things cluster with the virtual operation log data, and controls the operation of the Internet of things cluster according to the fitting result.
Specifically, in the actual operation process, actual operation data are obtained from an intelligent tower crane and auxiliary equipment of the Internet of things cluster, the operation data and virtual operation log data are fitted, if the deviation degree of the operation data and the virtual operation log data exceeds a preset threshold value, the operation of the cluster is stopped, and the virtual operation is simulated again; and if the deviation degrees of the two operation data meet the preset threshold value, continuously acquiring the next group of operation data and the virtual job log data for fitting.
In an embodiment, as shown in fig. 3, in step S204, the parsing, by the cluster self-organizing module, the job task into a timing instruction based on a virtual job authentication result, and transmitting the timing instruction to the cooperative job partition for performing a job includes:
s2041, the timing instruction distribution unit analyzes the job task into a timing instruction based on a virtual job authentication result, and distributes the timing instruction to the cooperative job partition.
Specifically, the time sequence instruction is distributed to the intelligent tower crane and auxiliary equipment thereof in the cooperative operation partition.
S2042, the Internet of things cluster generating unit collects the intelligent tower cranes, the auxiliary equipment and the operation target materials in the collaborative operation subareas according to the time sequence instruction to generate an Internet of things cluster, and the Internet of things cluster cooperatively executes the time sequence instruction.
Specifically, the intelligent tower crane, the auxiliary equipment and the operation target material in the Internet of things cluster can be in self-organizing communication.
For example, the timing instructions are: transferring the reinforcing steel bars in the cooperative operation partition A to the cooperative operation partition B, forming an Internet of things cluster by the intelligent tower crane a in the cooperative operation partition A, the intelligent tower crane B in the cooperative operation partition B, the reinforcing steel bars and monitoring equipment (auxiliary equipment) according to the time sequence instruction, carrying out communication interaction between the intelligent tower crane a and the intelligent tower crane B according to the time sequence instruction, transferring the reinforcing steel bars in the cooperative operation partition A to the cooperative operation partition B, monitoring the transfer process by the monitoring equipment in real time, and giving an alarm if a sudden situation occurs in the transfer process.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A self-organizing internet of things communication system for intelligence tower crane cluster is cooperative, its characterized in that includes: the system comprises a building engineering partition module, a 4D interactive interface, an operation task coordination distribution module and a cluster self-organization module;
the construction project partition module is connected with the 4D interactive interface and the operation task coordination distribution module and used for acquiring construction project data, dividing the construction project according to the construction project data, the position relation between the construction project and the tower crane and the effective operation area of the tower crane and generating a collaborative operation partition;
the 4D interactive interface is connected with the operation task coordination distribution module and used for collecting operation tasks and determining operation target materials, operation space positioning and operation time sequences corresponding to the operation tasks by using the constructional engineering data;
the operation task coordination and allocation module is used for allocating the operation tasks to the cooperative operation partitions according to the operation target materials, the operation space positioning and the operation time sequence, performing virtual operation simulation on the operation tasks corresponding to the cooperative operation partitions, and generating virtual operation authentication results;
the cluster self-organization module is connected with the job task coordination distribution module and used for analyzing the job tasks into a time sequence instruction based on a virtual job authentication result and transmitting the time sequence instruction to the cooperative job partition for operation.
2. The ad-hoc internet of things communication system for intelligent tower crane cluster cooperation of claim 1, further comprising: a support reservoir;
the supporting library is connected with the construction engineering partition module and used for establishing supporting data of a construction engineering three-dimensional model and an intelligent tower crane three-dimensional model based on the construction engineering data.
3. The self-organizing internet of things communication system for intelligent tower crane cluster cooperation according to claim 2, wherein the performing virtual operation simulation on the operation tasks corresponding to the cooperative operation partitions to generate virtual operation authentication results comprises:
and calling the support data, performing virtual job simulation on the job task according to the support data and the prediction environment data to generate virtual job log data, judging the risk of the job task and the influence between the collaborative job partitions based on the virtual job log data, and generating a virtual job authentication result according to a judgment result.
4. The ad-hoc internet of things communication system for intelligent tower crane cluster cooperation of claim 3, further comprising: a field tracking coordination module;
the field tracking coordination module is connected with the operation task coordination distribution module and used for acquiring the operation data of the Internet of things cluster, fitting the operation data of the Internet of things cluster with the virtual operation log data and controlling the operation of the Internet of things cluster according to the fitting result.
5. The ad-hoc networking communication system for intelligent tower crane cluster cooperation of claim 1, wherein the cluster ad-hoc module comprises: the system comprises a time sequence instruction distribution unit and an Internet of things cluster generation unit;
the time sequence instruction distribution unit is connected with the Internet of things cluster generation unit and is used for analyzing the job task into a time sequence instruction based on a virtual job authentication result and distributing the time sequence instruction to the cooperative job partition;
the Internet of things cluster generating unit is used for collecting the intelligent tower crane, the auxiliary equipment and the operation target materials in the collaborative operation partition according to the time sequence instruction to generate an Internet of things cluster, and the Internet of things cluster cooperatively executes the time sequence instruction.
6. A self-organizing internet of things communication method for intelligent tower crane cluster is cooperative, which is characterized by comprising the following steps:
the building engineering partition module acquires building engineering data, and divides the building engineering according to the building engineering data, the position relation between the building engineering and the tower crane and the effective operation area of the tower crane to generate a cooperative operation partition;
the 4D interactive interface collects an operation task, and determines an operation target material, an operation space positioning and an operation time sequence corresponding to the operation task by using the constructional engineering data;
the operation task coordination and distribution module distributes the operation tasks to the cooperative operation subareas according to the operation target materials, the operation space positioning and the operation time sequence, performs virtual operation simulation on the operation tasks corresponding to the cooperative operation subareas, and generates a virtual operation authentication result;
and the cluster self-organization module analyzes the job task into a time sequence instruction based on a virtual job authentication result, and transmits the time sequence instruction to the cooperative job partition for operation.
7. The self-organizing internet of things communication method for intelligent tower crane cluster cooperation according to claim 6, further comprising:
and the support library establishes support data of the three-dimensional model of the construction engineering and the three-dimensional model of the intelligent tower crane based on the construction engineering data.
8. The self-organizing internet of things communication method for intelligent tower crane cluster cooperation according to claim 7, wherein the performing virtual operation simulation on the operation tasks corresponding to the cooperative operation partitions to generate virtual operation authentication results comprises:
and calling the support data, performing virtual job simulation on the job task according to the support data and the prediction environment data to generate virtual job log data, judging the risk of the job task and the influence between the collaborative job partitions based on the virtual job log data, and generating a virtual job authentication result according to a judgment result.
9. The self-organizing internet of things communication method for intelligent tower crane cluster cooperation according to claim 8, further comprising:
and the field tracking cooperation module collects the operation data of the Internet of things cluster, fits the operation data of the Internet of things cluster with the virtual operation log data, and controls the operation of the Internet of things cluster according to the fitting result.
10. The self-organizing internet of things communication method for intelligent tower crane cluster cooperation according to claim 6, wherein the cluster self-organizing module analyzes the operation task into a timing sequence instruction based on a virtual operation authentication result, and transmits the timing sequence instruction to the cooperative operation partition for operation, and the method comprises the following steps:
the time sequence instruction distribution unit analyzes the operation task into a time sequence instruction based on a virtual operation authentication result and distributes the time sequence instruction to the cooperative operation partition;
and the Internet of things cluster generating unit is used for collecting the intelligent tower crane, the auxiliary equipment and the operation target material in the collaborative operation partition according to the time sequence instruction to generate an Internet of things cluster, and the Internet of things cluster cooperatively executes the time sequence instruction.
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