CN112765440A - Intelligent climbing frame system based on Internet of things - Google Patents
Intelligent climbing frame system based on Internet of things Download PDFInfo
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Abstract
The invention provides an intelligent climbing frame system based on the Internet of things, which comprises: the system comprises an acquisition module, a data module, an operation module, a process module, a logistics module and a statistic module; the acquisition module is used for responding to a frame climbing requirement request; the data module is used for extracting required climbing frame parameter information according to the task order; the operation module is used for extracting required parameter information of the constructors according to the task order; the process module is used for extracting required construction process parameter information according to the first response information and the second response information; the logistics module is used for extracting the required logistics parameter information according to the first response information; the statistic module is used for generating budget parameter information according to the first response information, the second response information, the third response information and the fourth response information. According to the invention, by developing the climbing frame platform based on the Internet of things, unified coordination and management are carried out on the climbing frame from the aspects of requirements, production, transportation, construction and the like, and the operation management level of the industry is improved.
Description
Technical Field
The invention relates to the technical field of building construction, in particular to an intelligent frame climbing system based on the Internet of things.
Background
At present, the climbing frame industry is widely applied in the field of buildings, but many problems also exist, for example, engineering projects are usually scattered to different areas, more logistics and labor cost are required to be invested, the field management efficiency is low, the lease income source is single, the Korean product homogeneity of climbing frame enterprises is serious, no obvious difference exists, the innovation capability is weak, terminal project information cannot be collected timely, further, the products are optimized and innovated according to the terminal project information, and the working condition of each building is different due to the fact that the characteristics of a head office package, a security prison, team personnel and a building type are different. Therefore, a management system for the climbing frame is needed, which can coordinate and manage the climbing frame uniformly from the aspects of demand, production, transportation, construction and the like, and improve the operation management level of the industry.
The present invention has been made in view of the above.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an intelligent climbing frame system based on the Internet of things.
According to the invention, the intelligent frame climbing system based on the Internet of things comprises: the system comprises an acquisition module, a data module, an operation module, a process module, a logistics module and a statistic module;
the acquisition module is used for responding to a climbing demand request, generating a task order of the climbing frame and sending the task order to the data module and the operation module;
the data module is used for extracting required climbing frame parameter information according to the task order, generating first response information based on the climbing frame parameter information, and sending the first response information to the process module, the logistics module and the statistical module;
the operation module is used for extracting required constructor parameter information according to the task order, generating second response information based on the constructor parameter information, and sending the second response information to the process module and the statistical module;
the process module is used for extracting required construction process parameter information according to the first response information and the second response information, generating third response information based on the construction process parameter information, and sending the third response information to the counting module;
the logistics module is used for extracting the required logistics parameter information according to the first response information, generating fourth response information based on the logistics parameter information, and sending the fourth response information to the statistics module;
the statistic module is used for generating budget parameter information according to the first response information, the second response information, the third response information and the fourth response information.
Particularly, the climbing frame requirements are acquired through the acquisition module, the task orders are generated according to corresponding requirements, the task orders are distributed in the internet of things, the data module, the operation module, the process module, the logistics module and the corresponding functions of the statistics module are used, the overall arrangement of all the requirements of the climbing frame in the construction process is realized, the integration of the existing data, personnel and materials is realized, an enterprise-level and industrial-level industrial internet safety production supervision platform is constructed, the whole safety production process, all elements and the connection and supervision of the whole industrial chain are realized, the safety sensing, monitoring, early warning, disposal, assessment and other functions are realized, and the cross-department and cross-level safety production linkage joint control capacity is improved.
Furthermore, the construction process of the climbing frame is divided according to climbing frame raw materials, constructors, construction processes and logistics distribution, multi-modular deployment around personnel, equipment, production, storage, logistics, environment and the like is achieved, equipment protocols and data formats are opened, and situation awareness capacity based on the industrial internet is built.
It should be noted that the intelligent frame climbing system based on the internet of things can be arranged in an area accessed to the internet of things, integrates the functions of information management, data statistics, video monitoring, intelligent monitoring and early warning map, and provides a solid guarantee for providing an optimal construction scheme in a full access area.
According to an embodiment of the present invention, the step of the obtaining module being configured to generate a task order of the rack climbing in response to a rack climbing demand request, and send the task order to the data module and the operation module includes:
the acquisition module responds to the frame climbing requirement request and extracts the position coordinate information of the frame climbing requirement request;
extracting regional node information accessed into the Internet of things according to the position coordinate information, and generating broadcast information sent in a region at least according to the regional node information;
and sending the broadcast information serving as the task order to each regional node in the region.
Specifically, this embodiment provides an implementation manner of the obtaining module, and the obtaining module may extract the position coordinate information of the rack-climbing request end, and broadcast the position coordinate information in a preset range by using the position coordinate information as a center, so that each area node receiving the broadcast information may perform corresponding judgment according to the position coordinate information, for example, may select in the preset range by using the position coordinate information as a center, and provide corresponding matching data for the request of the request end by using the area node in the preset range.
According to an embodiment of the present invention, the data module is configured to extract required parameter information of a rack climbing device according to the task order, generate first response information based on the parameter information of the rack climbing device, and send the first response information to the process module, the logistics module, and the statistics module, and specifically includes:
extracting position coordinate information in the broadcast information, and determining area nodes within a preset range according to the position coordinate information, wherein the area nodes are used for storing or processing the climbing frame;
extracting the climbing frame parameter information in the broadcast information;
generating first sub-response information based on the climbing frame parameter information according to each region node;
and packaging a plurality of pieces of first sub-response information to form a first response packet, and taking the first response packet as the first response information.
Specifically, the embodiment provides an implementation manner of a data module, and by extracting position coordinate information of a rack climbing request end, broadcasting can be performed within a preset range by taking the position coordinate information as a center, and matching of orders can be performed according to broadcasting information by rack climbing warehouses or processors.
Furthermore, the rack climbing warehouse or the processing company can access the intelligent rack climbing system through the area nodes.
Furthermore, the shelf-climbing warehouse or the processing company can provide corresponding orders according to the broadcast information so that the demander can select the orders instead of directly processing the orders, and then the orders can be distributed and processed according to the confirmation of the follow-up requirements.
According to an embodiment of the present invention, the operating module is configured to extract required constructor parameter information according to the task order, generate second response information based on the constructor parameter information, and send the second response information to the process module and the statistics module, where the step of extracting the required constructor parameter information according to the task order specifically includes:
extracting position coordinate information and the number of constructors in the broadcast information;
determining constructor parameter information within a preset range according to the position coordinate information and the number of constructors;
generating the second response information based on the constructor parameter information.
Specifically, this embodiment provides an implementation mode of an operation module, and through extracting position coordinate information and constructor quantity in the broadcast information, how many people need in the frame climbing construction process can be known, and in the preset range taking position coordinate information as the center, the constructor quantity is taken as the matching condition, and constructor parameter information is obtained.
It should be noted that, the constructor needs to register the area node, and the area node is a construction unit with at least construction qualification within the statistical range of the operation module.
According to an embodiment of the present invention, the step of the process module being configured to extract required construction process parameter information according to the first response information and the second response information, generate third response information based on the construction process parameter information, and send the third response information to the statistics module includes:
extracting position coordinate information and environment parameter information in the broadcast information, wherein the environment parameter information comprises climate information and soil information;
and acquiring construction process parameter information according to the position coordinate information, the environment parameter information, the first response information and the second response information, and generating the third response information based on the construction process parameter information.
Specifically, this embodiment provides an implementation manner of a process module, and by extracting position coordinate information and environment parameter information in broadcast information, it can be known what kind of construction process needs to be selected according to environment, floor, building type, or other influence factors in the scaffold climbing construction process, and in a preset range with the position coordinate information as a center, the position coordinate information and the environment parameter information are used as matching conditions to provide a corresponding construction process scheme.
It should be noted that the area nodes are at least construction units with construction qualifications under the process module, and the construction cases of the corresponding construction units can be called according to the cloud for selection.
According to an embodiment of the present invention, the step of the logistics module being configured to extract the required logistics parameter information according to the first response information, generate fourth response information based on the logistics parameter information, and send the fourth response information to the statistics module includes:
extracting position coordinate information and road condition parameter information in the broadcast information, wherein the road condition parameter information comprises road conditions from each area node to the position coordinate information;
generating sub-logistics parameter information based on the first sub-response information according to the position coordinate information and the road condition parameter information;
and packaging all the sub-logistics parameter information to form the logistics parameter information, and generating fourth response information based on the logistics parameter information.
Specifically, the present embodiment provides an implementation manner of a logistics module, where the logistics module generates a plurality of sub-logistics parameter information according to the position of each area node, that is, an actual transportation route from each area node to a demand end, so as to be selected by the demand end.
According to an embodiment of the present invention, the statistical module is configured to generate budget parameter information according to the first response information, the second response information, the third response information, and the fourth response information, and specifically includes:
extracting first sub-response information in the first response information;
extracting constructor parameter information in the second response information;
extracting construction process parameter information in the third response information;
extracting sub-logistics parameter information in the fourth response information;
and generating budget parameter information based on each first sub-response information and each sub-logistics parameter information according to the constructor parameter information and the construction process parameter information.
Specifically, the embodiment provides an implementation manner of a statistical module, which is to generate an intelligent internet of things service area centered on a place where a rack climbing request is sent by acquiring first sub-response information, constructor parameter information, construction process parameter information and sub-logistics parameter information, and generate a plurality of budget parameter information corresponding to the place where the rack climbing request is sent as the center, so that a demand sending terminal can select the budget parameter information.
According to an embodiment of the present invention, further comprising: a monitoring module for monitoring the operation of the data module, the operation module, the process module and the logistics module.
Particularly, this embodiment provides a monitoring module's implementation, through monitoring module on the system platform realize right the data module operation module the technology module with the control of logistics module operation can be to climbing the frame from the aspect of order generation, personnel integration, process design, logistics distribution and site operation etc. supervise, whether satisfy sufficiency, suitability and validity to whole process and carry out comprehensive accurate aassessment, trace back and affirm fast the loss, reason and the responsibility main part etc. of incident, provide the guarantee for seeking the leak, solve the problem, realize the system assessment to enterprise, region and trade safety production.
According to an embodiment of the present invention, further comprising: the display module is respectively connected with the data module, the operation module, the process module, the logistics module and the statistics module;
the display module further comprises a plurality of sub-display terminals, and the sub-display terminals are respectively connected with the display module and used for synchronizing the content displayed by the display module.
Specifically, this embodiment provides an implementation manner of a display module, and by setting the display module, the data module, the operation module, the process module, the logistics module, and the statistics module can be queried and corresponding data can be displayed through a plurality of sub-display terminals.
According to an embodiment of the present invention, further comprising: the cloud module is used for generating cloud sharing information according to the data streams of the acquisition module, the data module, the operation module, the process module, the logistics module and the statistic module.
Particularly, this embodiment provides an implementation manner of a cloud module, and the data stream of the acquisition module, the data module, the operation module, the process module, the logistics module and the statistics module is placed at a cloud end, so that the demand terminals in other areas can be directly called or edited, and convenience is provided for other platforms accessing the internet of things.
One or more technical solutions in the present invention have at least one of the following technical effects: according to the intelligent climbing frame system based on the Internet of things, the climbing frame platform based on the Internet of things is developed, unified coordination and management are performed on the climbing frame from the aspects of requirements, production, transportation, construction and the like, and the operation management level of the industry is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic layout diagram of an intelligent rack-climbing system based on the internet of things provided by the invention.
Reference numerals:
10. an acquisition module; 20. a data module; 30. an operation module; 40. a process module; 50. a logistics module; 60. a statistical module; 70. a monitoring module; 80. a display module; 90. and the cloud end module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments. In the description of the present application, "at least one" includes one or more unless otherwise specified. "plurality" means two or more. For example, at least one of A, B and C, comprising: a alone, B alone, a and B in combination, a and C in combination, B and C in combination, and A, B and C in combination. In this application, "/" means "or, for example, A/B may mean A or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone.
In some embodiments of the present invention, as shown in fig. 1, the present solution provides an intelligent rack-climbing system based on the internet of things, including: the system comprises an acquisition module 10, a data module 20, an operation module 30, a process module 40, a logistics module 50 and a statistics module 60;
the obtaining module 10 is configured to respond to a rack climbing demand request, generate a task order for the rack climbing, and send the task order to the data module 20 and the operation module 30;
the data module 20 is configured to extract required parameter information of the scaffold according to the task order, generate first response information based on the parameter information of the scaffold, and send the first response information to the process module 40, the logistics module 50, and the statistics module 60;
the operation module 30 is configured to extract required constructor parameter information according to the task order, generate second response information based on the constructor parameter information, and send the second response information to the process module 40 and the statistics module 60;
the process module 40 is configured to extract required construction process parameter information according to the first response information and the second response information, generate third response information based on the construction process parameter information, and send the third response information to the statistics module 60;
the logistics module 50 is configured to extract the required logistics parameter information according to the first response information, generate fourth response information based on the logistics parameter information, and send the fourth response information to the statistics module 60;
the statistic module 60 is configured to generate budget parameter information according to the first response information, the second response information, the third response information, and the fourth response information.
Particularly, the climbing demand is acquired through the acquisition module 10, the task order is generated according to the corresponding demand, the task order is distributed in the internet of things, the integration of the existing data, personnel and materials is realized through the corresponding functions of the data module 20, the operation module 30, the process module 40, the logistics module 50 and the statistic module 60, the overall demand of each part of the climbing in the construction process is realized, the enterprise-level and industrial internet safety production supervision platform is constructed, the whole safety production process, the whole elements and the whole industrial chain are connected and supervised, the safety monitoring, the early warning, the disposal, the evaluation and other functions are realized, and the cross-department and cross-level safety production linkage joint control capacity is improved.
Furthermore, the construction process of the climbing frame is divided according to climbing frame raw materials, constructors, construction processes and logistics distribution, multi-modular deployment around personnel, equipment, production, storage, logistics, environment and the like is achieved, equipment protocols and data formats are opened, and situation awareness capacity based on the industrial internet is built.
It should be noted that the intelligent frame climbing system based on the internet of things can be arranged in an area accessed to the internet of things, integrates the functions of information management, data statistics, video monitoring, intelligent monitoring and early warning map, and provides a solid guarantee for providing an optimal construction scheme in a full access area.
According to an embodiment of the present invention, the step of the obtaining module 10, configured to generate a task order for the rack climbing in response to a rack climbing demand request, and send the task order to the data module 20 and the operation module 30, specifically includes:
the obtaining module 10 responds to the frame climbing requirement request, and extracts the position coordinate information of the frame climbing requirement request;
extracting regional node information accessed into the Internet of things according to the position coordinate information, and generating broadcast information sent in a region at least according to the regional node information;
and sending the broadcast information serving as the task order to each regional node in the region.
Specifically, this embodiment provides an implementation manner of the obtaining module 10, by extracting the position coordinate information of the rack-climbing request end, the position coordinate information may be used as a center to perform broadcasting within a preset range, so that each area node receiving the broadcast information may perform corresponding judgment according to the position coordinate information, for example, the area node may be selected within the preset range using the position coordinate information as a center, and the area node within the preset range provides corresponding matching data for the request of the request end.
According to an embodiment of the present invention, the step of the data module 20 is configured to extract required parameter information of the rack climbing according to the task order, generate first response information based on the parameter information of the rack climbing, and send the first response information to the process module 40, the logistics module 50, and the statistics module 60, specifically includes:
extracting position coordinate information in the broadcast information, and determining area nodes within a preset range according to the position coordinate information, wherein the area nodes are used for storing or processing the climbing frame;
extracting the climbing frame parameter information in the broadcast information;
generating first sub-response information based on the climbing frame parameter information according to each region node;
and packaging a plurality of pieces of first sub-response information to form a first response packet, and taking the first response packet as the first response information.
Specifically, the embodiment provides an implementation manner of the data module 20, by extracting the position coordinate information of the rack-climbing request end, the data module can broadcast within a preset range by taking the position coordinate information as a center, and the rack-climbing warehouse or the manufacturer can match orders according to the broadcast information.
Furthermore, the rack climbing warehouse or the processing company can access the intelligent rack climbing system through the area nodes.
Furthermore, the shelf-climbing warehouse or the processing company can provide corresponding orders according to the broadcast information so that the demander can select the orders instead of directly processing the orders, and then the orders can be distributed and processed according to the confirmation of the follow-up requirements.
According to an embodiment of the present invention, the operation module 30 is configured to extract required constructor parameter information according to the task order, generate second response information based on the constructor parameter information, and send the second response information to the process module 40 and the statistics module 60, where the step specifically includes:
extracting position coordinate information and the number of constructors in the broadcast information;
determining constructor parameter information within a preset range according to the position coordinate information and the number of constructors;
generating the second response information based on the constructor parameter information.
Specifically, the embodiment provides an implementation manner of the operation module 30, which can acquire the number of people needed in the scaffold climbing construction process by extracting the position coordinate information and the number of constructors in the broadcast information, and acquire the parameter information of the constructors by taking the number of the constructors as a matching condition in a preset range taking the position coordinate information as a center.
It should be noted that, the constructor needs to register the area node, and the area node is a construction unit with at least construction qualification within the statistical range of the operation module 30.
According to an embodiment of the present invention, the step of the process module 40 being configured to extract required construction process parameter information according to the first response information and the second response information, generate third response information based on the construction process parameter information, and send the third response information to the statistics module 60 includes:
extracting position coordinate information and environment parameter information in the broadcast information, wherein the environment parameter information comprises climate information and soil information;
and acquiring construction process parameter information according to the position coordinate information, the environment parameter information, the first response information and the second response information, and generating the third response information based on the construction process parameter information.
Specifically, this embodiment provides an implementation manner of the process module 40, which can learn what kind of construction process needs to be selected according to environment, floor, building type, or other influence factors in the scaffold climbing construction process by extracting the position coordinate information and the environment parameter information in the broadcast information, and provide a corresponding construction process scheme within a preset range with the position coordinate information as a center and with the position coordinate information and the environment parameter information as matching conditions.
It should be noted that the area nodes are at least construction units with construction qualifications under the process module 40, wherein construction cases of corresponding construction units can be called according to the cloud for selection.
According to an embodiment of the present invention, the steps of the logistics module 50 being configured to extract the required logistics parameter information according to the first response information, generate fourth response information based on the logistics parameter information, and send the fourth response information to the statistics module 60 include:
extracting position coordinate information and road condition parameter information in the broadcast information, wherein the road condition parameter information comprises road conditions from each area node to the position coordinate information;
generating sub-logistics parameter information based on the first sub-response information according to the position coordinate information and the road condition parameter information;
and packaging all the sub-logistics parameter information to form the logistics parameter information, and generating fourth response information based on the logistics parameter information.
Specifically, the present embodiment provides an implementation manner of the logistics module 50, where the logistics module 50 generates a plurality of sub-logistics parameter information, that is, an actual transportation route from each area node to a demand end, according to the location of each area node, so as to be selected by the demand end.
According to an embodiment of the present invention, the statistical module 60 is configured to generate budget parameter information according to the first response information, the second response information, the third response information, and the fourth response information, and specifically includes:
extracting first sub-response information in the first response information;
extracting constructor parameter information in the second response information;
extracting construction process parameter information in the third response information;
extracting sub-logistics parameter information in the fourth response information;
and generating budget parameter information based on each first sub-response information and each sub-logistics parameter information according to the constructor parameter information and the construction process parameter information.
Specifically, the embodiment provides an implementation manner of the statistical module 60, which generates an intelligent internet of things service area centered on a place where a rack climbing request is sent by acquiring the first sub-response information, the constructor parameter information, the construction process parameter information and the sub-logistics parameter information, and generates a plurality of budget parameter information corresponding to the place where the rack climbing request is sent as the center, so as to be selected by the demand sending terminal.
According to an embodiment of the present invention, further comprising: a monitoring module 70, the monitoring module 70 being configured to monitor the operation of the data module 20, the operation module 30, the process module 40, and the logistics module 50.
Particularly, the embodiment provides an implementation manner of the monitoring module 70, which is implemented by the monitoring module 70 on a system platform to monitor the operation of the data module 30, the process module 40 and the logistics module 50, and can supervise order generation, personnel integration, process design, logistics distribution, site construction and the like of a climbing frame, comprehensively and accurately evaluate whether the whole process meets the requirements of sufficiency, suitability and effectiveness, quickly trace and identify loss, reasons, responsibility main bodies and the like of safety accidents, provide guarantee for finding and solving problems, and realize system evaluation of safety production of enterprises, areas and industries.
According to an embodiment of the present invention, further comprising: a display module 80, wherein the display module 80 is respectively connected to the data module 20, the operation module 30, the process module 40, the logistics module 50 and the statistics module 60;
the display module 80 further includes a plurality of sub-display terminals, which are respectively connected to the display module 80 and used for synchronizing the content displayed by the display module 80.
Specifically, the present embodiment provides an implementation manner of the display module 80, and by setting the display module 80, the data module 20, the operation module 30, the process module 40, the logistics module 50, and the statistics module 60 can be queried and corresponding data can be displayed through a plurality of sub-display terminals.
According to an embodiment of the present invention, further comprising: a cloud module 90, where the cloud module 90 is configured to generate cloud sharing information according to data flows of the acquisition module 10, the data module 20, the operation module 30, the process module 40, the logistics module 50, and the statistics module 60.
Specifically, the embodiment provides an implementation manner of the cloud module 90, and data streams of the acquisition module 10, the data module 20, the operation module 30, the process module 40, the logistics module 50, and the statistics module 60 are placed in a cloud, so that demand terminals in other areas can be directly called or edited, and convenience is provided for other platforms accessing the internet of things.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides an intelligence system of climbing frame based on thing networking which characterized in that includes: the system comprises an acquisition module, a data module, an operation module, a process module, a logistics module and a statistic module;
the acquisition module is used for responding to a climbing demand request, generating a task order of the climbing frame and sending the task order to the data module and the operation module;
the data module is used for extracting required climbing frame parameter information according to the task order, generating first response information based on the climbing frame parameter information, and sending the first response information to the process module, the logistics module and the statistical module;
the operation module is used for extracting required constructor parameter information according to the task order, generating second response information based on the constructor parameter information, and sending the second response information to the process module and the statistical module;
the process module is used for extracting required construction process parameter information according to the first response information and the second response information, generating third response information based on the construction process parameter information, and sending the third response information to the counting module;
the logistics module is used for extracting the required logistics parameter information according to the first response information, generating fourth response information based on the logistics parameter information, and sending the fourth response information to the statistics module;
the statistic module is used for generating budget parameter information according to the first response information, the second response information, the third response information and the fourth response information.
2. The intelligent rack climbing system based on the internet of things according to claim 1, wherein the obtaining module is configured to generate a task order of the rack climbing in response to a rack climbing demand request, and send the task order to the data module and the operation module, and specifically includes:
the acquisition module responds to the frame climbing requirement request and extracts the position coordinate information of the frame climbing requirement request;
extracting regional node information accessed into the Internet of things according to the position coordinate information, and generating broadcast information sent in a region at least according to the regional node information;
and sending the broadcast information serving as the task order to each regional node in the region.
3. The intelligent rack-climbing system based on the internet of things according to claim 2, wherein the data module is configured to extract required rack-climbing parameter information according to the task order, generate first response information based on the rack-climbing parameter information, and send the first response information to the process module, the logistics module, and the statistics module, and specifically includes:
extracting position coordinate information in the broadcast information, and determining area nodes within a preset range according to the position coordinate information, wherein the area nodes are used for storing or processing the climbing frame;
extracting the climbing frame parameter information in the broadcast information;
generating first sub-response information based on the climbing frame parameter information according to each region node;
and packaging a plurality of pieces of first sub-response information to form a first response packet, and taking the first response packet as the first response information.
4. The intelligent rack-climbing system based on the internet of things according to claim 3, wherein the operation module is configured to extract required constructor parameter information according to the task order, generate second response information based on the constructor parameter information, and send the second response information to the process module and the statistical module, and specifically includes:
extracting position coordinate information and the number of constructors in the broadcast information;
determining constructor parameter information within a preset range according to the position coordinate information and the number of constructors;
generating the second response information based on the constructor parameter information.
5. The intelligent rack-climbing system based on the internet of things according to claim 4, wherein the process module is configured to extract required construction process parameter information according to the first response information and the second response information, generate third response information based on the construction process parameter information, and send the third response information to the statistics module, specifically including:
extracting position coordinate information and environment parameter information in the broadcast information, wherein the environment parameter information comprises climate information and soil information;
and acquiring construction process parameter information according to the position coordinate information, the environment parameter information, the first response information and the second response information, and generating the third response information based on the construction process parameter information.
6. The intelligent rack-climbing system based on the internet of things according to claim 5, wherein the logistics module is configured to extract required logistics parameter information according to the first response information, generate fourth response information based on the logistics parameter information, and send the fourth response information to the statistics module, and specifically includes:
extracting position coordinate information and road condition parameter information in the broadcast information, wherein the road condition parameter information comprises road conditions from each area node to the position coordinate information;
generating sub-logistics parameter information based on the first sub-response information according to the position coordinate information and the road condition parameter information;
and packaging all the sub-logistics parameter information to form the logistics parameter information, and generating fourth response information based on the logistics parameter information.
7. The intelligent rack-climbing system based on the internet of things according to claim 6, wherein the statistical module is configured to generate budget parameter information according to the first response information, the second response information, the third response information, and the fourth response information, and specifically includes:
extracting first sub-response information in the first response information;
extracting constructor parameter information in the second response information;
extracting construction process parameter information in the third response information;
extracting sub-logistics parameter information in the fourth response information;
and generating budget parameter information based on each first sub-response information and each sub-logistics parameter information according to the constructor parameter information and the construction process parameter information.
8. The intelligent rack-climbing system based on the internet of things as claimed in any one of claims 1 to 7, further comprising: a monitoring module for monitoring the operation of the data module, the operation module, the process module and the logistics module.
9. The intelligent rack-climbing system based on the internet of things as claimed in any one of claims 1 to 7, further comprising: the display module is respectively connected with the data module, the operation module, the process module, the logistics module and the statistics module;
the display module further comprises a plurality of sub-display terminals, and the sub-display terminals are respectively connected with the display module and used for synchronizing the content displayed by the display module.
10. The intelligent rack-climbing system based on the internet of things as claimed in any one of claims 1 to 7, further comprising: the cloud module is used for generating cloud sharing information according to the data streams of the acquisition module, the data module, the operation module, the process module, the logistics module and the statistic module.
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