Intelligent driving system and building machine

Abstract

The invention discloses an intelligent travelling crane system and a building machine, which are used in the field of prefabricated building construction, and the intelligent travelling crane system comprises an intelligent travelling crane and a data driving system; a track of the intelligent travelling crane is mounted on the building machine supporting structure, and the hoisting range covers the whole construction area; the data driving system comprises a component information base, a BIM data management and control system, a digital twinborn simulation system, a component scheduling system and an intelligent driving management and control system, and automatic and accurate lifting, lifting process pre-simulation, danger alarm and intelligent scheduling can be achieved. The intelligent travelling crane system comprises the intelligent travelling crane and the data driving system, and lifting of the intelligent travelling crane is driven by the data driving system and does not depend on site constructors any more; the optimal path conveying can be realized, and the efficiency is improved; component scheduling is automatically carried out, the logistics state is tracked, the digitization degree is high, and data are clear and can be checked; and the traveling crane maintenance time is judged through accumulated data, accurate maintenance is achieved, and the equipment safety is improved.

Description

Technical Field

[0001] The present invention belongs to the field of prefabricated building construction, and in particular relates to an intelligent driving system and a building construction machine. Background Art

[0002] Prefabricated construction refers to a new type of construction method that processes and produces prefabricated components in advance in a prefabricated parts factory and transports them to the construction site for installation. Compared with traditional construction methods, it has the advantages of saving resources, shortening construction period, reducing pollution, green energy saving, and improving performance, and is becoming more and more popular. However, prefabricated construction is highly dependent on tower cranes to transport prefabricated components. The work intensity of tower crane drivers is high and the risk is high. The transportation process of prefabricated components relies on manual command, which is inefficient and prone to errors.

[0003] In summary, the lifting of traditional prefabricated buildings relies on tower cranes, which have the disadvantages of high cost, high reliance on manual labor, and difficulty in accurate positioning. At the same time, the combination of prefabricated buildings and building machines can greatly speed up the construction speed and digitalization. Therefore, there is an urgent need for a new type of intelligent driving machine suitable for building machines, which uses data-driven intelligent technology to improve safety and reduce the workload of construction workers. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent driving system and a building construction machine to reduce the dependence on tower cranes during the construction of prefabricated buildings, reduce the workload of hoisting personnel, and improve work efficiency and safety.

[0005] The technical solution adopted by the present invention is:

[0006] In a first aspect, the present invention provides an intelligent driving system, including an intelligent driving system and a data driving system;

[0007] The track of the intelligent crane is installed on the supporting structure of the building construction machine, and the hoisting range covers the entire construction area;

[0008] The data-driven system includes a component information library, a BIM data management and control system, a digital twin simulation system, a component scheduling system and an intelligent driving management and control system; wherein:

[0009] The component information library is used to assign a unique code to each prefabricated component based on the prefabricated building BIM model;

[0010] The BIM data management and control system is used to establish a local coordinate database of the target position of the component based on the BIM model of the prefabricated building, provide a precondition for the intelligent driving coordinate conversion, and generate multiple hoisting schemes according to the position of each prefabricated component in the BIM model of the prefabricated building;

[0011] The digital twin simulation system is used to construct a digital twin model of the construction site, simulate the intelligent crane hoisting process according to the generated multiple hoisting schemes, and obtain the optimal hoisting sequence according to the preset safety requirements and tendency requirements;

[0012] The component scheduling system is used to determine the required construction period of components by optimizing the lifting sequence, combining the on-site inventory and the lifting speed, and extracting the component model and quantity required for the next step according to the number and position of the currently installed components, and then issuing transportation scheduling instructions to the component factory, and monitoring the position and transportation sequence of the components during the whole process of leaving the factory, in transit, and lifting, identifying components with improper sequence and issuing alarms;

[0013] The intelligent driving control system is used to visualize the real-time data of the intelligent driving based on the digital twin principle, and control the intelligent driving through a visual operation interface; and if the components in the current process do not match the preset optimized lifting sequence, an alarm will be issued on the display screen to indicate a component error.

[0014] Furthermore, the intelligent driving vehicle comprises an intelligent driving vehicle body and an intelligent rotating hook;

[0015] The intelligent driving body has a lifting function;

[0016] The intelligent rotating hook is provided with an independent rotating drive device and equipped with an angle sensor, so that the intelligent rotating hook has a 360° circular rotation function and transmits angle information in real time to achieve precise angle control;

[0017] In actual lifting, the intelligent rotating hook automatically rotates during horizontal displacement according to the target position placement of the prefabricated components.

[0018] Furthermore, the intelligent vehicle is provided with auxiliary sensors, including a wind speed sensor, a stress strain sensor and a rainfall sensor, for monitoring wind speed, stress and rainfall, so as to issue an alarm when an abnormal situation is detected.

[0019] Furthermore, the coded data of the prefabricated component includes the size, weight, production date, project, target floor and location of the prefabricated component.

[0020] Furthermore, the coordinate conversion is to convert the absolute coordinate system derived from the prefabricated components from the assembled building BIM model into the XYZ three-axis coordinate system used by the smart crane according to the preset origin of the smart crane installation position on the building design drawing.

[0021] Furthermore, the digital twin simulation system outputs simulation results to guide lifting tasks; the simulation results include lifting time, collision risk, mileage of large and small vehicles, mileage of hook take-off and landing, and energy consumption.

[0022] Furthermore, multiple lifting schemes are generated to obtain the optimal lifting sequence, including:

[0023] According to the position of each prefabricated component in the BIM model of the assembled building, combined with the possible interference between several intelligent cranes during lifting, multiple lifting sequences are generated; this lifting sequence ensures that the components are lifted in a reasonable order during lifting, and at the same time ensures that several intelligent cranes will not compete for the working surface;

[0024] Calculate the shortest spatial distance of the spatial trajectory at fixed intervals;

[0025] Accumulate all the closest spatial distances to obtain the optimal lifting sequence.

[0026] Furthermore, the component scheduling system involves a mobile terminal and a client terminal, and includes the following functions: (1) Message notification: When an abnormal sequence or abnormal equipment status is identified, an alarm message is immediately pushed through the network box mobile terminal and the client terminal; (2) Scheduling task issuance: According to the current hoisting progress, the number of components in transit and the construction progress, a scheduling task is issued to the prefabricated component manufacturer; (3) Component location acquisition: The component location is collected in real time through the driving sensor; (4) Information feedback: The above information and daily operation and maintenance information are combined for real-time query by the staff;

[0027] Through the supporting monitoring software, the real-time location of the currently registered freight vehicles can be intuitively displayed, as well as the model and quantity information of the components they transport.

[0028] Furthermore, the intelligent driving control system summarizes the real-time status parameters of electrical equipment, guides safe lifting and equipment maintenance, collects and analyzes intelligent driving operation and maintenance information, records the daily mileage and energy consumption of the driving carts, trolleys, and drums, analyzes the differences and omissions on a daily, weekly, monthly, and annual basis, generates an intelligent driving operation and maintenance report, and guides intelligent driving maintenance.

[0029] In a second aspect, the present invention provides a building construction machine, which includes the intelligent driving system described in any one of the above items.

[0030] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0031] The present invention provides an intelligent driving system, including an intelligent driving and a data drive system. The intelligent driving lifting is driven by a digital data drive system, which no longer relies on on-site construction personnel, thereby reducing the workload of workers. For the terminal target position of each component, the optimal path transportation is achieved, energy consumption is reduced, and efficiency is improved. The entire process is simulated before lifting, and risk points are obtained in advance and preparations are made. Component scheduling is automatically performed, and the logistics status is tracked, with a high degree of digitization and clear and traceable data. The timing of driving maintenance is determined by accumulating data, and accurate maintenance is performed to improve equipment safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a schematic diagram of the main view of the intelligent driving model in an embodiment of the present invention;

[0033] Figure 2 is a schematic side view of an intelligent driving model in an embodiment of the present invention;

[0034] Figure 3 is a diagram of the data driven system architecture in an embodiment of the present invention;

[0035] Figure 4 is a schematic diagram of generating an optimized lifting sequence in an embodiment of the present invention;

[0036] Figure 5 This is a schematic diagram of the interface of the intelligent driving control system in an embodiment of the present invention;

[0037] Figure 6 It is a flowchart of a component scheduling system in an embodiment of the present invention.

[0038] In the figure: 1- intelligent driving body; 2- intelligent rotating hook. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0040] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0041] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0042] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0043] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0044] The present invention provides an intelligent driving and data-driven operation method thereof, which can be used in the field of prefabricated building construction, including intelligent driving and its attached sensors and data-driven system; the track of the intelligent driving is installed on the supporting structure of the prefabricated building construction integrated platform (building machine), and the hoisting range covers the entire construction area; the attached sensors are integrated on the main structure of the driving; the data-driven system includes judgment, planning, and execution parts, and has a component identity system, a digital twin simulation system, a component scheduling system, and an intelligent driving control system; it can realize the automatic precise lifting and lowering of the lifting, the pre-simulation of the lifting process, the danger alarm, and the intelligent scheduling. The present invention relies less on personnel and highly relies on automation, intelligent equipment or systems to complete the construction lifting tasks.

[0045] An embodiment of the present application provides an intelligent driving system, including an intelligent driving vehicle and its auxiliary sensors and a data drive system. The track of the intelligent driving vehicle is installed on the supporting structure of the building construction machine, and the lifting range covers the entire construction area; the auxiliary sensors are integrated on the main structure of the driving vehicle; the data drive system includes judgment, planning, and execution parts.

[0046] Preferably, the intelligent crane is different from the traditional crane in that its hook has the function of automatic rotation and is equipped with an angle sensor, which has the function of transmitting angle information in real time to achieve precise control. The crane is also equipped with a wind speed sensor, a stress strain sensor, and a rainfall sensor to monitor wind speed, stress, and rainfall in real time, and issue an alarm when an abnormal situation is detected.

[0047] For example, when the wind speed detected by the wind speed sensor in real time exceeds a set threshold, an alarm will be issued to avoid danger.

[0048] Preferably, the intelligent driving control system will comprehensively collect and analyze various data, generate intelligent driving operation and maintenance reports, guide driving maintenance, and improve safety. In this embodiment, the identity of the hoisted components is identified by methods including but not limited to scanning codes, RFID radio frequency identification, and image recognition based on artificial intelligence, and the entire process of hanging, displacement, and installation of the components during hoisting is monitored.

[0049] Preferably, the present embodiment establishes a component identity system, assigns a unique code to each prefabricated component based on the BIM database, establishes a local coordinate database of the component's target position, and provides a prerequisite for coordinate conversion. Coordinate conversion is to convert the absolute coordinate system of the component derived from the BIM model into an XYZ three-axis coordinate system that can be directly used by the crane based on the preset origin of the crane installation position on the architectural design drawing. The information data of the prefabricated component identity system includes but is not limited to the size, weight, production date, project, target floor and location of the prefabricated component. According to the installation position and process of each component in the BIM model, several hoisting sequences are generated to improve on-site work efficiency.

[0050] Preferably, the present invention establishes a digital twin simulation system, and the actual parameters input by the system include but are not limited to the volume, running speed, etc. of the crane hoisting equipment, the volume, shape characteristics, three dimensions, center position, hoisting method, etc. of the hoisting object, simulate the intelligent crane hoisting process, output the simulation results, and guide the hoisting task. The output simulation results include but are not limited to hoisting time, collision risk, large and small vehicle running mileage, hook take-off and landing mileage, number of hoisted components, etc., and each simulation result can be weighted to calculate the score, and the scores are sorted into several hoisting orders. Before hoisting, this system accurately obtains the spatial position of each component according to the BIM model data, and automatically generates multiple hoisting schemes in combination with the actual hoisting situation on site (i.e., the actual parameters input). Subsequently, simulation is performed according to the preset safety requirements and tendency requirements, and the simulation results include but are not limited to hoisting time, total distance, collision risk, energy consumption, etc., and finally the optimized hoisting order is output to the component scheduling system.

[0051] Exemplarily, by calculating the hoisting time, total distance, collision risk, energy consumption, etc. of each hoisting scheme, the optimal hoisting sequence is obtained in a weighted manner.

[0052] Preferably, the present invention establishes a component scheduling system, which optimizes the hoisting sequence, comprehensively considers the on-site inventory and hoisting speed, intelligently determines the component demand period, and then extracts the component model and quantity required for the next step based on the number and position of the currently installed components and the building design drawings, issues transportation scheduling instructions to the PC component factory, monitors the position and transportation sequence of the components during the entire process of leaving the factory, in transit, and hoisting, identifies components with improper sequence and issues alarms.

[0053] The development program involves mobile terminals and clients. The specific functional modules include (1) message notification: when the system identifies an abnormal sequence or abnormal equipment status, it immediately pushes an alarm message through the 5G network box mobile terminal and client; (2) dispatching tasks: the system dispatches tasks to prefabricated component manufacturers based on the current hoisting progress, the number of components in transit and the construction progress; (3) component location acquisition: the real-time mobile component location is obtained through the driving sensor; (4) information feedback: the above information and daily operation and maintenance information are combined for real-time query by staff. Through the supporting monitoring software, the real-time location of the currently registered freight vehicles can be intuitively displayed, and the model and quantity of the components they transport can be displayed.

[0054] Preferably, the present invention establishes an intelligent driving control system, visualizes the real-time data of the sensor based on the principle of digital twins, controls the lifting equipment through a visual operation interface, summarizes the real-time status parameters of electrical equipment, and guides safe lifting and equipment maintenance. If the components in the current process do not match the preset optimized lifting sequence, an alarm will be issued on the display screen to indicate a component error. The system analyzes and compares the collected driving operation and maintenance information, records the daily mileage and energy consumption of the driving carts, trolleys, and drums, and intelligently analyzes the differences and deficiencies on a daily, weekly, monthly, and annual basis, providing guidance for intelligent maintenance.

[0055] In this application, intelligent crane hoisting is driven by a digital system and no longer relies on on-site construction personnel, reducing the workload of workers; the optimal path transportation is achieved for the final target position of each component, reducing energy consumption and improving efficiency; the entire process is simulated before hoisting, and risk points are identified and prepared in advance; component scheduling is carried out automatically, and the logistics status is tracked, with a high degree of digitization and clear and traceable data; the timing of crane maintenance is determined by accumulated data, and accurate maintenance is performed to improve equipment safety.

[0056] The present application also provides another intelligent driving vehicle and a data-driven operation method thereof, which includes two major parts: an intelligent driving vehicle body 1 and a software control system.

[0057] like Figure 1 and Figure 2 As shown, the intelligent driving body 1 is the main production equipment, which plays the role of lifting; and as the control object of the intelligent software, it reflects the advantages of the intelligent system. The intelligent rotating hook 2 is equipped with an independent rotary drive device, which enables the intelligent rotating hook 2 to have a 360° circular rotation function. In actual lifting, the hook automatically rotates during the horizontal displacement according to the target position placement of the prefabricated components, which improves the lifting efficiency and reduces the manual workload.

[0058] like Figure 3 As shown in the figure, the new driving data driven control method consists of three major sections, four systems and one device. Figure 5 The vehicle control system interface is shown in the figure. Figure 6 As shown in Figure 1, the component scheduling system runs according to this process. Figure 4 As shown, an optimized lifting sequence system operates as shown in the figure.

[0059] Before lifting components, the component identity system automatically generates several optimized lifting sequences: the system generates several lifting sequences based on the position of each component in the BIM model and the possible interference between several cranes during lifting (obtaining the running speed of the crane and the required running distance and coordinates, and calculating the position of each crane at each time point according to the order of lifting before and after, and then calculating the minimum distance between the cranes. If it is greater than the set non-collision distance between the cranes, it can be guaranteed that there will be no interference). This lifting sequence ensures that the components are lifted in a reasonable order during lifting, and at the same time ensures that several cranes will not compete for the working surface. The spatial trajectory is calculated once per second, and the spatial distance formula is used. Calculation. A digital twin simulation system is established to simulate the intelligent crane hoisting process through the actual parameters input by the system, and the simulation results are output for several hoisting sequences in the previous step. The simulation items include but are not limited to hoisting time, collision probability, power consumption, etc., to guide the hoisting task.

[0060] After the components are transported and dispatched to the lifting area, workers hang the components on the crane hook, obtain the current component identity through image recognition and other methods, retrieve the lifting plan in the system, and then the intelligent crane automatically completes the lifting, horizontal displacement, rotation displacement, and landing of the hook, and lifts the components to the preset position of the BIM model. If the image recognition detects that the current component sequence is wrong, an error alarm will be issued to the system.

[0061] The intelligent driving control system collects and displays driving data in real time, determines the maintenance cycle, and achieves refined maintenance. The component dispatching system issues component transportation instructions to the factory based on the lifting speed and warehouse surplus combined with the logistics transportation speed, so as to keep the lifting process without waiting for components and maintain low inventory, greatly improving efficiency. At the same time, the system tracks the physical location of components in real time, and the level of informatization is further improved.

[0062] In summary, the intelligent driving and data-driven operation method of the present invention can be used in the field of prefabricated building construction, including intelligent driving and its attached sensors and data-driven system; the track of the intelligent driving is installed on the supporting structure of the prefabricated building construction integrated platform (building machine), and the hoisting range covers the entire construction area; the attached sensors (wind speed sensor, stress sensor, etc.) are integrated on the main structure of the driving; the data-driven system includes judgment (identification of component identity), planning (generation of optimized hoisting sequence, planning path, component scheduling), execution part (component hoisting, wrong part alarm, data accumulation), with component identity system, digital twin simulation system, component scheduling system and intelligent driving control system; realize the automatic and precise lifting and lowering of hoisting, pre-simulation of the hoisting process, danger alarm, and intelligent scheduling. In the present invention, there is less reliance on personnel, and a high degree of automation and intelligence is relied on to complete the construction hoisting task.

[0063] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0064] It should be pointed out that, according to the needs of implementation, the various steps / components described in this application can be split into more steps / components, and two or more steps / components or partial operations of steps / components can be combined into new steps / components to achieve the purpose of the present invention.

[0065] It will be easily understood by those skilled in the art that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent driving system, characterized in that: Including intelligent driving and data-driven systems; The track of the intelligent crane is installed on the supporting structure of the building construction machine, and the hoisting range covers the entire construction area; The data-driven system includes a component information library, a BIM data management and control system, a digital twin simulation system, a component scheduling system and an intelligent driving management and control system; wherein: The component information library is used to assign a unique code to each prefabricated component based on the prefabricated building BIM model; The BIM data management and control system is used to establish a local coordinate database of the target position of the component based on the BIM model of the prefabricated building, provide a precondition for the intelligent driving coordinate conversion, and generate multiple hoisting schemes according to the position of each prefabricated component in the BIM model of the prefabricated building; The digital twin simulation system is used to construct a digital twin model of the construction site, simulate the intelligent crane hoisting process according to the generated multiple hoisting schemes, and obtain the optimal hoisting sequence according to the preset safety requirements and tendency requirements; The component scheduling system is used to determine the required construction period of components by optimizing the lifting sequence, combining the on-site inventory and the lifting speed, and extracting the component model and quantity required for the next step according to the number and position of the currently installed components, and then issuing transportation scheduling instructions to the component factory, and monitoring the position and transportation sequence of the components during the whole process of leaving the factory, in transit, and lifting, identifying components with improper sequence and issuing alarms; The intelligent driving control system is used to visualize the real-time data of the intelligent driving based on the digital twin principle, and control the intelligent driving through a visual operation interface; and if the components in the current process do not match the preset optimized lifting sequence, an alarm will be issued on the display screen to indicate a component error.

2. The intelligent driving system according to claim 1, characterized in that: The intelligent driving vehicle comprises an intelligent driving vehicle body and an intelligent rotating hook; The intelligent driving body has a lifting function; The intelligent rotating hook is provided with an independent rotating drive device and equipped with an angle sensor, so that the intelligent rotating hook has a 360° circular rotation function and transmits angle information in real time to achieve precise angle control; In actual lifting, the intelligent rotating hook automatically rotates during horizontal displacement according to the target position placement of the prefabricated components.

3. The intelligent driving system according to claim 1, characterized in that: The intelligent vehicle is provided with auxiliary sensors, including a wind speed sensor, a stress strain sensor and a rainfall sensor, which are used to monitor wind speed, stress and rainfall so as to issue an alarm when an abnormal situation is detected.

4. The intelligent driving system according to claim 1, characterized in that: The coded data of the prefabricated component includes the size, weight, production date, project, target floor and location of the prefabricated component.

5. The intelligent driving system according to claim 1, characterized in that: The coordinate conversion is to convert the absolute coordinate system derived from the prefabricated components in the BIM model of the assembled building into the XYZ three-axis coordinate system used by the smart crane according to the preset origin of the smart crane installation position on the building design drawing.

6. The intelligent driving system according to claim 1, characterized in that: The digital twin simulation system outputs simulation results to guide the lifting task; the simulation results include lifting time, collision risk, mileage of large and small vehicles, mileage of hook take-off and landing, and energy consumption.

7. The intelligent driving system according to claim 1, characterized in that: Generate multiple lifting plans and get the optimal lifting sequence, including: According to the position of each prefabricated component in the BIM model of the assembled building, combined with the possible interference between several intelligent cranes during lifting, multiple lifting sequences are generated; this lifting sequence ensures that the components are lifted in a reasonable order during lifting, and at the same time ensures that several intelligent cranes will not compete for the working surface; Calculate the shortest spatial distance of the spatial trajectory at fixed intervals; Accumulate all the closest spatial distances to obtain the optimal lifting sequence.

8. The intelligent driving system according to claim 1, characterized in that: The component scheduling system involves mobile terminals and clients, and includes the following functions: (1) Message notification: When an abnormal sequence or abnormal equipment status is identified, an alarm message is immediately pushed through the network box mobile terminal and client; (2) Scheduling task issuance: According to the current hoisting progress, combined with the number of components in transit and the construction progress, scheduling tasks are issued to prefabricated component manufacturers; (3) Component location acquisition: The component location is collected in real time through the driving sensor; (4) Information feedback: The above information and daily operation and maintenance information are combined for real-time query by staff; Through the supporting monitoring software, the real-time location of the currently registered freight vehicles can be intuitively displayed, as well as the model and quantity information of the components they transport.

9. The intelligent driving system according to claim 1, characterized in that: The intelligent driving control system summarizes the real-time status parameters of electrical equipment, guides safe lifting and equipment maintenance, collects and analyzes intelligent driving operation and maintenance information, records the daily mileage and energy consumption of the driving carts, trolleys, and drums, analyzes the differences and deficiencies on a daily, weekly, monthly, and annual basis, generates an intelligent driving operation and maintenance report, and guides intelligent driving maintenance.

10. A building construction machine, characterized in that: The building construction machine comprises the intelligent driving system as described in any one of claims 1 to 9.

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