Artificial intelligence-based field construction information acquisition system and acquisition method

Abstract

The present application relates to the field of artificial intelligence technology, especially to a site construction information acquisition system and method based on artificial intelligence. The site construction information acquisition system based on artificial intelligence comprises an oil level acquisition module, an image acquisition module, a positioning and navigation module, an alarm module, an information transmission module and an artificial intelligence terminal. The oil level acquisition module is connected to the oil tank of the construction machinery, used for detecting the oil tank and obtaining fuel information. The image acquisition module is used for acquiring image information of the construction machinery and personnel image information at the construction machinery. The positioning and navigation module is used for positioning the position information of the construction machinery. The information transmission module transmits the collected data information to the artificial intelligence terminal in real time. The artificial intelligence terminal comprises an information receiving module, an oil consumption information processing module, an oil consumption anomaly analysis module, an automatic alarm module and a positioning module which are in communication with each other. The present application can effectively acquire and analyze the oil consumption efficiency of the construction machinery, and further reasonably control the cost.

Description

Technical Field

[0001] This invention relates to the field of artificial intelligence technology, and in particular to an artificial intelligence-based on-site construction information collection system and method. Background Technology

[0002] Artificial Intelligence (AI) is a new branch of computer science that studies, develops, and applies theories, methods, technologies, and applications to simulate, extend, and expand human intelligence. It aims to understand the essence of intelligence and produce intelligent machines that can react in a way similar to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing, and expert systems. Since its inception, AI has matured in both theory and technology, and its applications have expanded continuously. It is conceivable that future AI-driven technological products will serve as "containers" of human wisdom.

[0003] With the rapid development of society and the economy, people's pursuit of a richer material life is increasing, and their demands for infrastructure are rising. In recent years, large-scale and complex infrastructure projects have emerged, occupying a significant share of civil engineering projects. For a civil engineering project, it is necessary to collect relevant on-site construction information during the construction process, such as information on building materials, construction machinery, and construction quality. The purpose of collecting this information is twofold: firstly, to archive and improve the overall construction data of the project; and secondly, to control costs by reducing project expenditures while ensuring the project is completed on time and to the required quality. Information on construction machinery is particularly important. Typically, only rental, return, and maintenance records are available. Issues such as the efficiency of machinery use and fuel consumption on the construction site cannot be directly reflected in these records. Since most construction machinery on site consumes fuel, and fuel consumption accounts for more than half of the operating costs of large construction machinery, it is necessary to collect information on the efficiency of construction machinery use and fuel consumption on-site to control costs.

[0004] Currently, fuel consumption data for construction machinery is only displayed on the vehicle's instrument panel, lacking information transmission and early warning functions. This hinders companies and managers from monitoring the dynamic status of fuel consumption in real time, rendering the data inaccurate. Problems include: uncontrollable machinery routes; driver violations such as fuel theft, shirking duties, and falsifying refueling amounts; discrepancies between actual and inaccurate fuel costs; low machinery utilization; and persistently high operating costs, leading to increased construction costs for companies without corresponding benefits. Therefore, effectively combining artificial intelligence with a mechanism for collecting, monitoring, and supervising the fuel consumption and efficiency of construction machinery to control construction costs has become a pressing issue for cost control in construction projects. Summary of the Invention

[0005] Therefore, the purpose of this invention is to provide an artificial intelligence-based on-site construction information collection system and method to solve the technical problem that the existing technology cannot effectively monitor and analyze the fuel consumption and efficiency of construction machinery, resulting in high construction costs.

[0006] To achieve the above objectives, the technical solution adopted by the artificial intelligence-based on-site construction information acquisition system of the present invention is as follows:

[0007] An AI-based on-site construction information collection system includes:

[0008] The fuel level acquisition module is connected to the fuel tank of the construction machinery to detect the fuel level and acquire fuel information.

[0009] The image acquisition module is fixed to the construction wall and is used to acquire image information of construction machinery and personnel at the construction machinery location;

[0010] A positioning and navigation module, installed on the oil level acquisition module, is used to locate the position information of the construction machinery;

[0011] The alarm module includes a horn unit and a fuel consumption anomaly identification unit connected by communication. The fuel consumption anomaly identification unit is connected to the fuel level acquisition module to collect fuel information and analyze whether the fuel consumption is at a normal level. The horn unit is used to receive alarm signals from the fuel consumption anomaly identification unit and issue alarm warnings.

[0012] The information transmission module is communicatively connected to the oil level acquisition module and the image acquisition module, and is used to transmit the data information collected by the oil level acquisition module and the image acquisition module to the artificial intelligence terminal in real time.

[0013] The artificial intelligence terminal includes an interconnected information receiving module, a fuel consumption information processing module, a fuel consumption anomaly analysis module, an automatic alarm module, and a positioning module. The information receiving module is connected to the information transmission module to receive monitoring data transmitted by the information transmission module. The fuel consumption information processing module is used to statistically analyze the collected fuel information, record refueling data, fuel quantity changes, average fuel consumption, and whether the machinery is running in real time. The fuel consumption anomaly analysis module combines construction machinery image information and personnel image information to perform in-depth analysis of abnormal fuel quantity changes, identify illegal fuel theft and leakage based on the rate of fuel loss, and record the specific time and fuel quantity changes. The automatic alarm module is used to activate the automatic alarm function when the fuel consumption anomaly analysis module determines that the fuel consumption anomaly is fuel theft and the alarm fails to stop the theft. The positioning module is connected to the positioning and navigation module to track and display the machinery position in real time and compare it with the set working activity range. If it exceeds the set range, it sends a signal to the remote alarm module to activate the alarm warning.

[0014] Furthermore, the image acquisition module includes a base and a camera mounted on the base with adjustable position and angle. The camera is used to capture images of construction machinery and personnel at the construction machinery location. The camera is communicatively connected to the information transmission module.

[0015] Furthermore, the length direction of the base is defined as the front-to-back direction, and the thickness direction as the left-to-right direction. The base is equipped with an adjusting screw and a guide rod extending in the left-to-right direction, with the adjusting screw and guide rod arranged at intervals. A mounting plate is threaded onto the adjusting screw, and the mounting plate slides in a guide-sliding fit with the guide rod. A horizontal drive mechanism is also installed on the base, which is connected to the adjusting screw to drive the adjusting screw to rotate. The mounting plate is equipped with a rotation adjustment mechanism and a pulling mechanism for adjusting the camera, both of which are connected to the camera.

[0016] Furthermore, the horizontal drive mechanism includes a first drive motor, a first bevel gear fixed on the output shaft of the first drive motor, and a second bevel gear fixed on the adjusting screw, with the first bevel gear meshing with the second bevel gear for transmission; a fixed plate is vertically connected to the mounting plate; the rotation adjustment mechanism includes a rotating shaft mounted on the fixed plate, a second drive motor mounted on the fixed plate, a third bevel gear connected to the output shaft of the second drive motor, and a fourth bevel gear fixed on the rotating shaft, with the third bevel gear meshing with the fourth bevel gear for transmission; the bottom end of the rotating shaft is connected to the camera via a flexible shaft; the pulling mechanism includes... A hoisting motor is suspended at the bottom of the fixed plate. A first steel wire rope and a second steel wire rope are wound on the hoisting motor shaft. A first pulley and a second pulley are respectively rotated and mounted on the upper and lower sides of the fixed plate. One end of the first steel wire rope is connected to the top of the camera, and the other end passes around the first pulley and is wound on the hoisting motor shaft. One end of the second steel wire rope is connected to the bottom of the camera, and the other end passes around the second pulley and is wound on the hoisting motor shaft. The winding direction of the first steel wire rope on the shaft is opposite to that of the second steel wire rope on the shaft, so as to form a pull-release structure when the hoisting motor is turned on.

[0017] Furthermore, a support plate is installed at the bottom of the winch motor, and at least two booms are fixedly connected between the support plate and the fixed plate. Three limiting plates are coaxially fixed on the reel, and the reel section between two adjacent limiting plates forms a limiting winding section for winding the first wire rope or the second wire rope.

[0018] Furthermore, the oil level acquisition module is an ultrasonic oil level sensor module, including a power supply unit, a control unit, a transmitting unit, and a receiving unit. The power supply unit is a battery pack used to supply power to the control unit, transmitting unit, and receiving unit. The transmitting unit includes a transducer and a transmitter. The transducer in the transmitting unit is used to convert the energy generated by voltage excitation into ultrasonic waves, and the transmitter is used to emit the generated ultrasonic waves. The receiving unit consists of an amplifier circuit and a transducer. The transducer in the receiving unit is used to convert the mechanical vibration generated by the received reflected ultrasonic waves into electrical energy, and the amplifier circuit is used to amplify the electrical signal. The control unit is used to control the transmitting unit to emit ultrasonic waves, control the receiving unit to determine whether the received ultrasonic signal is emitted by itself, and finally identify the intensity of the received ultrasonic waves.

[0019] Furthermore, the information transmission module is a 5G network information transmission module, including a 5G chip baseband unit and a signal transmission unit. The 5G chip baseband unit is used to receive 5G base station signals, and the signal transmission unit uses 5G signals to transmit monitoring data to the artificial intelligence terminal in real time.

[0020] Furthermore, the positioning and navigation module is composed of a Beidou chip module, which is used to receive and parse Beidou positioning data and transmit the location information of the construction machinery to the artificial intelligence terminal in real time through the 5G network information transmission module.

[0021] Furthermore, the AI ​​terminal also includes a data storage module and an archive management module. The data storage module is used to save the collected monitoring data in real time, and the archive management module is used to establish a database for managing construction machinery archives for users.

[0022] The technical solution adopted by the artificial intelligence-based on-site construction information collection method of the present invention is as follows:

[0023] The method for collecting on-site construction information based on artificial intelligence includes the following steps:

[0024] S1. Collect fuel information from the fuel tank of the construction machinery, image information of the construction machinery, location information of the construction machinery, and image information of personnel at the construction machinery, and send them to the artificial intelligence terminal.

[0025] S2, the artificial intelligence terminal will perform preliminary integration and processing of the various information collected in S1, analyze abnormal data and issue alarms. The integration and processing includes real-time recording of oil quantity changes, analysis of average fuel consumption and whether the machinery is in the start-up state.

[0026] S3. The artificial intelligence terminal further analyzes abnormal fuel consumption data and determines whether it is an abnormal oil leak, theft, or driver negligence based on the rate of fuel loss and image information at the construction machinery.

[0027] S4. The AI ​​terminal generates corresponding processing solutions based on the results of abnormal data analysis.

[0028] S5. Establish interconnection and interoperability between artificial intelligence terminals and intelligent systems for construction projects.

[0029] The beneficial effects of this invention are:

[0030] 1. While collecting construction site information in real time, this invention uses an AI artificial intelligence terminal to intelligently analyze the fuel consumption of construction machinery, autonomously determine the cause of abnormal fuel loss, and then take corresponding solutions based on the analysis results to reasonably control the operating costs of construction machinery.

[0031] 2. This invention can track construction machinery in real time through an artificial intelligence terminal, preventing the illegal movement of construction machinery and ensuring that the construction machinery stays within its working range.

[0032] 3. This invention analyzes the mechanical efficiency through an artificial intelligence terminal, which can then statistically analyze manual labor and fuzzy match the workload. Furthermore, it can establish an interconnected relationship with the intelligent system of construction projects, intelligently analyzing the input of construction machinery and personnel to rationally control costs. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the image acquisition module in the artificial intelligence-based on-site construction information acquisition system of the present invention;

[0034] Figure 2 yes Figure 1 A top-down simplified diagram of the hoist motor inside the image acquisition module (the hoist motor casing is omitted, only the reel is shown);

[0035] Figure 3 This is a schematic diagram illustrating the relationship between the modules in the artificial intelligence-based on-site construction information acquisition system of the present invention.

[0036] Explanation of reference numerals in the attached drawings: 1-base, 2-camera, 3-adjusting screw, 4-guide rod, 5-mounting plate, 6-fixing plate, 7-first drive motor, 8-second drive motor, 9-first bevel gear, 10-second bevel gear, 11-third bevel gear, 12-fourth bevel gear, 13-rotating shaft, 14-flexible shaft, 15-first wire rope, 16-second wire rope, 17-first pulley, 18-second pulley, 19-hoisting motor, 20-boom, 21-limiting plate, 22-support plate, 23-reel. Detailed Implementation

[0037] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0038] Specific embodiments of the artificial intelligence-based on-site construction information acquisition system of the present invention:

[0039] like Figure 3 As shown, the artificial intelligence-based on-site construction information acquisition system includes an oil level acquisition module, an image acquisition module, a positioning and navigation module, an alarm module, an information transmission module, and an artificial intelligence terminal.

[0040] Specifically, the oil level acquisition module is an ultrasonic oil level sensor module, including a power supply unit, a control unit, a transmitting unit, and a receiving unit. The power supply unit is a battery pack used to supply power to the control unit, transmitting unit, and receiving unit. The transmitting unit includes a transducer and a transmitter. The transducer in the transmitting unit converts the energy generated by voltage excitation into ultrasonic waves, and the transmitter is used to emit the generated ultrasonic waves. The receiving unit consists of an amplifier circuit and a transducer. The transducer in the receiving unit converts the mechanical vibration generated by the received reflected ultrasonic waves into electrical energy, and the amplifier circuit is used to amplify the electrical signal. The control unit is used to control the transmitting unit to emit ultrasonic waves, control the receiving unit to determine whether the received ultrasonic signal is emitted by itself, and ultimately identify the intensity of the received ultrasonic waves. The oil level acquisition module can collect and transmit fuel information such as fuel consumption, fuel quantity changes, and fuel loss. During installation, the oil level acquisition module can be fixed to a suitable position on the fuel tank of the construction machinery using adhesive; no holes need to be drilled in the fuel tank.

[0041] like Figure 1 and Figure 2 As shown, the image acquisition module includes a base 1 and a camera 2 mounted on the base 1, the position and angle of which are adjustable. The camera 2 is used to capture images of construction machinery and personnel at the construction machinery location. The camera 2 is connected to the information transmission module via Bluetooth to send the acquired image information to the information transmission module. The base 1 is fixed to the building wall by anchor bolts.

[0042] In this embodiment, the length direction of the base 1 is defined as the front-to-back direction, and the thickness direction is defined as the left-to-right direction. The base 1 is provided with an adjusting screw 3 and a guide rod 4 extending in the left-to-right direction, arranged vertically at intervals. A mounting plate 5 is threadedly connected to the adjusting screw 3, and the mounting plate 5 slides in a guiding manner with the guide rod 4. A horizontal drive mechanism is also installed on the base 1, which is connected to the adjusting screw 3 to drive its rotation. The mounting plate 5 is provided with a rotation adjustment mechanism and a pulling mechanism for adjusting the camera 2, both of which are connected to the camera 2.

[0043] In this embodiment, the horizontal drive mechanism includes a first drive motor 7, a first bevel gear 9 fixed on the output shaft of the first drive motor, and a second bevel gear 10 fixed on the adjusting screw 3. The first bevel gear 9 and the second bevel gear 10 mesh and transmit power. A fixed plate 6 is vertically connected to the mounting plate 5. The rotation adjustment mechanism includes a rotating shaft 13 rotatably mounted on the fixed plate 6, a second drive motor 8 mounted on the fixed plate 6, a third bevel gear 11 connected to the output shaft of the second drive motor, and a fourth bevel gear 12 fixed on the rotating shaft 13. The third bevel gear 11 and the fourth bevel gear 12 mesh and transmit power. The bottom end of the rotating shaft 13 is connected to the camera 2 via a flexible shaft 14. The pulling mechanism includes a winch motor 19 suspended at the bottom of the fixed plate 6, a first wire rope 15 and a second wire rope 16 wound on the winch motor's reel, and a first pulley 17 and a second pulley 18 rotatably mounted on the upper and lower sides of the fixed plate 6, respectively. A support plate 22 is mounted at the bottom of the winch motor 19, and two booms 20 are fixedly connected between the support plate 22 and the fixed plate 6. One end of the first wire rope 15 is connected to the top of the camera 2, and the other end passes around the first pulley 17 and is wound on the spool 23 of the hoisting motor 19. One end of the second wire rope 16 is connected to the bottom of the camera 2, and the other end passes around the second pulley 18 and is wound on the spool 23 of the hoisting motor 19. The winding direction of the first wire rope 15 on the spool 23 is opposite to the winding direction of the second wire rope 16 on the spool 23, so as to form a pull-release structure when the hoisting motor 19 is turned on.

[0044] In addition, to prevent the first wire rope 15 and the second wire rope 16 from shifting and becoming tangled, such as Figure 2 As shown, three limiting plates 21 are coaxially fixed on the reel 23, and the reel section between two adjacent limiting plates 21 forms a limiting winding section for winding the first wire rope 15 or the second wire rope 16.

[0045] In actual use, the first drive motor 7 is turned on, and the lead screw 3 is adjusted to rotate, thereby driving the mounting plate 5 to move left and right. At this time, the fixing plate 6 moves left and right along with the mounting plate 5, realizing the left and right position adjustment of the camera 2. When the second drive motor 8 is turned on, the rotating shaft 13 rotates. At this time, the camera 2 connected to the rotating shaft 13 can rotate in the circumferential direction, and the first steel wire rope 15 and the second steel wire rope 16 will not cross or entangle during rotation. When it is necessary to adjust the tilt angle of the camera 2, the winch motor 19 is turned on, and under the action of the first steel wire rope 15 or the second steel wire rope 16, the camera 2 is pulled up or down to flip.

[0046] The alarm module includes a horn unit and a fuel consumption anomaly identification unit connected by communication. The fuel consumption anomaly identification unit is connected to the fuel level acquisition module to collect fuel information and is autonomously analyzed by the built-in smart chip to determine whether the fuel consumption is at a normal level. If an anomaly is detected, the horn unit of the alarm is triggered through the line. The horn unit is used to receive the alarm signal from the fuel consumption anomaly identification unit and issue an alarm warning.

[0047] The information transmission module is a 5G network information transmission module that communicates with the camera and oil level acquisition module. It includes a 5G chip baseband unit and a signal transmission unit. The 5G chip baseband unit is used to receive 5G base station signals, and the signal transmission unit uses 5G signals to transmit monitoring data to the artificial intelligence terminal in real time.

[0048] The positioning and navigation module consists of a Beidou chip module, which is used to receive and parse Beidou positioning data and transmit the location information of the construction machinery to the artificial intelligence terminal in real time through the 5G network information transmission module.

[0049] The AI ​​terminal includes interconnected modules for receiving information, processing fuel consumption data, analyzing fuel consumption anomalies, issuing automatic alarms, and positioning. The information receiving module communicates with the information transmission module to receive monitoring data transmitted from it. The fuel consumption processing module uses AI algorithms to statistically analyze the collected fuel information, recording real-time refueling data, fuel level changes, average fuel consumption, and whether machinery is running. The fuel consumption anomaly analysis module combines images of construction machinery and personnel to perform in-depth analysis of abnormal fuel level changes. It intelligently analyzes sudden changes in fuel level and uses AI algorithms to eliminate the influence of operational conditions such as machinery vibration, bumps, sharp turns, and slopes. It identifies illegal fuel theft and leaks based on the rate of fuel loss and records the specific time and fuel level changes. The automatic alarm module is primarily used when the fuel consumption anomaly analysis module determines that abnormal fuel level changes are due to fuel theft, and the alarm fails to stop the theft. In this case, it activates the automatic alarm function, immediately notifying nearby police of the incident location and brief details, effectively protecting the company's legitimate property. The positioning module communicates with the positioning and navigation module to track and display the machine's position in real time and compare it with the set working range. If the position exceeds the set range, a signal is sent to the remote alarm module to activate the alarm warning.

[0050] The AI ​​terminal also includes a data storage module and a file management module. The data storage module is used to save the collected monitoring data in real time, ensuring that data is not lost in the event of sudden power outages, machine malfunctions, line failures, or other emergencies. The file management module mainly provides functions for managing mechanical file information, allowing users to establish a mechanical file management database.

[0051] This invention utilizes an artificial intelligence terminal to autonomously collect, monitor, and analyze the fuel consumption of construction machinery, autonomously analyze the causes of abnormal fuel consumption, and autonomously take emergency measures. It has a high degree of automation and intelligence, high work efficiency, saves human resources, and effectively reduces the economic losses caused by abnormal fuel consumption to the project. In addition, it can automatically identify the location of construction machinery and limit the construction machinery to an allowable range.

[0052] In other embodiments, the information transmission module may also transmit data to the artificial intelligence terminal via Bluetooth, WIFI, or Ethernet cable.

[0053] Specific embodiments of the artificial intelligence-based on-site construction information collection method of the present invention:

[0054] The AI-based on-site construction information collection method is based on the aforementioned AI-based on-site construction information collection system and mainly includes the following steps:

[0055] S1. Collect fuel information from the fuel tank of the construction machinery, image information of the construction machinery, location information of the construction machinery, and image information of personnel at the construction machinery, and send them to the artificial intelligence terminal.

[0056] S2, the artificial intelligence terminal will perform preliminary integration and processing of the various information collected in S1, analyze abnormal data and issue alarms. The integration and processing includes real-time recording of oil quantity changes, analysis of average fuel consumption and whether the machinery is in the start-up state.

[0057] S3. The artificial intelligence terminal further analyzes abnormal fuel consumption data and determines whether it is an abnormal oil leak, theft, or driver negligence based on the rate of fuel loss and image information at the construction machinery.

[0058] S4. The AI ​​terminal generates corresponding processing solutions based on the results of abnormal data analysis.

[0059] S5. Establish interconnection and interoperability between artificial intelligence terminals and intelligent systems for construction projects.

[0060] Specifically, the fuel level acquisition module in the above embodiment is used to collect fuel information in the construction machinery's fuel tank; the image acquisition module in the above embodiment is used to collect image information of the construction machinery and personnel at the construction machinery; the positioning and navigation module in the above embodiment is used to collect the location information of the construction machinery; and the artificial intelligence terminal in the above embodiment is used. Therefore, the specific structure of each module and the artificial intelligence terminal will not be described in detail.

[0061] The embodiments of the present invention described above do not constitute a limitation on the scope of protection of the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. An on-site construction information collection system based on artificial intelligence, characterized by, The application relates to a fuel consumption monitoring system for construction machinery. The system comprises an oil level acquisition module connected to an oil tank of the construction machinery, which is used for detecting the oil tank and acquiring fuel information; an image acquisition module fixed on a construction wall, which is used for acquiring image information of the construction machinery and personnel image information near the construction machinery; a positioning and navigation module installed on the oil level acquisition module, which is used for positioning position information of the construction machinery; an alarm module comprising a horn unit and an oil consumption anomaly identification unit in communication connection, wherein the oil consumption anomaly identification unit is in communication connection with the oil level acquisition module, is used for collecting fuel information and analyzing whether the oil consumption is normal, and the horn unit is used for receiving an alarm signal from the oil consumption anomaly identification unit and issuing an alarm warning; an information transmission module in communication connection with the oil level acquisition module and the image acquisition module, which is used for transmitting data information collected by the oil level acquisition module and the image acquisition module to an artificial intelligence terminal in real time; and the artificial intelligence terminal comprising an information receiving module, an oil consumption information processing module, an oil consumption anomaly analysis module, an automatic alarm module and a positioning module in mutual communication connection, wherein the information receiving module is in communication connection with the information transmission module to receive monitoring data transmitted by the information transmission module; the oil consumption information processing module is used for statistically analyzing collected fuel information, and is used for recording refueling data, oil quantity change, average oil consumption and whether the machinery is in a starting state in real time; the oil consumption anomaly analysis module is used for deeply analyzing abnormal oil quantity change in combination with the construction machinery image information and the personnel image information, is used for identifying illegal oil stealing and oil leaking conditions according to an oil quantity loss speed, and is used for recording specific time and oil quantity change; the automatic alarm module is used for starting an automatic alarm function when the oil consumption anomaly analysis module determines that oil consumption anomaly is oil stealing and an alarm fails to stop the stealing behavior; and the positioning module is in communication connection with the positioning and navigation module, is used for tracking and displaying a machinery position in real time, and is used for comparing a set working activity range, and sends a signal to a remote alarm module to start an alarm warning if the set range is exceeded. The image acquisition module comprises a base and a camera installed on the base and adjustable in position and angle, the camera is used for shooting construction machinery images and personnel images near the construction machinery, and the camera is in communication connection with the information transmission module. The length direction of the base is defined as a front-rear direction, and the thickness direction of the base is defined as a left-right direction, the base is provided with adjusting lead screws and guide rods extending along the left-right direction, and the adjusting lead screws and the guide rods are arranged in an upper-lower interval; a mounting plate is threadedly connected to the adjusting lead screws, the mounting plate is in sliding fit with the guide rods in a guide mode, a horizontal driving mechanism is further installed on the base, the horizontal driving mechanism is in transmission connection with the adjusting lead screws to drive the adjusting lead screws to rotate, a rotating adjusting mechanism and a pulling mechanism for adjusting the camera are arranged on the mounting plate, and the rotating adjusting mechanism and the pulling mechanism are connected with the camera. ​ ​ ​ ​ ​ 2. The on-site construction information collection system based on artificial intelligence according to claim 1, characterized by, The horizontal driving mechanism comprises a first driving motor, a first bevel gear fixed on an output shaft of the first driving motor, and a second bevel gear fixed on the adjusting lead screw, the first bevel gear being in meshing transmission with the second bevel gear; the mounting plate is vertically connected with a fixed plate, the rotating adjusting mechanism comprises a rotating shaft rotatably assembled on the fixed plate, a second driving motor mounted on the fixed plate, a third bevel gear connected with an output shaft of the second driving motor, and a fourth bevel gear fixed on the rotating shaft, the third bevel gear being in meshing transmission with the fourth bevel gear, and the bottom end of the rotating shaft being connected with the camera through a flexible shaft; the pulling mechanism comprises a winch motor suspended at the bottom of the fixed plate, a first steel wire and a second steel wire wound on a winding shaft of the winch motor, and a first pulley and a second pulley rotatably assembled on the upper side and the lower side of the fixed plate respectively, one end of the first steel wire being connected with the top of the camera, the other end of the first steel wire being wound on the winding shaft of the winch motor through the first pulley, one end of the second steel wire being connected with the bottom of the camera, the other end of the second steel wire being wound on the winding shaft of the winch motor through the second pulley, and the winding direction of the first steel wire on the winding shaft being opposite to the winding direction of the second steel wire on the winding shaft, so as to form a pull-and-release structure when the winch motor is turned on.

3. The on-site construction information collection system based on artificial intelligence according to claim 2, characterized by, A support plate is mounted at the bottom of the winch motor, at least two hanging arms are fixedly connected between the support plate and the fixed plate, and three limiting plates are coaxially fixed on the winding shaft, the winding shaft segments between adjacent two limiting plates forming limiting winding segments for winding the first steel wire or the second steel wire.

4. The on-site construction information collection system based on artificial intelligence according to any one of claims 1 to 3, characterized by, The oil level collection module is an ultrasonic oil level sensor module, comprising a power supply unit, a control unit, a sending unit and a receiving unit, the power supply unit being a battery pack for supplying electric energy to the control unit, the sending unit and the receiving unit; the sending unit comprises a transducer and a transmitter, the transducer in the sending unit being used for converting energy generated by voltage excitation into ultrasonic waves, and the transmitter being used for emitting the generated ultrasonic waves; the receiving unit is composed of an amplifying circuit and a transducer, the transducer in the receiving unit being used for converting mechanical vibration generated by the reflected ultrasonic waves into electric energy, and the amplifying circuit being used for amplifying electric signals; the control unit is used for controlling the sending unit to emit ultrasonic waves, controlling the receiving unit to judge whether the received ultrasonic wave signal is the ultrasonic wave signal emitted by itself, and finally identifying the received ultrasonic wave intensity.

5. The on-site construction information collection system based on artificial intelligence according to any one of claims 1 to 3, characterized by, The information transmission module is a 5G network information transmission module, comprising a 5G chip baseband unit and a signal transmitting unit, the 5G chip baseband unit being used for receiving 5G base station signals, and the signal transmitting unit being used for transmitting monitoring data to the artificial intelligence terminal in real time by using 5G signals.

6. The on-site construction information collection system based on artificial intelligence according to claim 5, wherein The positioning and navigation module is composed of a Beidou chip module, the Beidou chip module being used for receiving and analyzing Beidou positioning data and transmitting position information of the construction machinery to the artificial intelligence terminal in real time through the 5G network information transmission module.

7. The on-site construction information collection system based on artificial intelligence according to any one of claims 1 to 3, characterized by, The artificial intelligence terminal further comprises a data saving module and an archive management module, the data saving module being used for saving the collected monitoring data in real time, and the archive management module being used for establishing construction machinery archive management databases for users.

8. The artificial intelligence-based field construction information collection method of the artificial intelligence-based field construction information collection system according to any one of claims 1 to 7, characterized by, The method comprises the following steps: S1, collect fuel information in the oil tank of the construction machinery, image information of the construction machinery, position information of the construction machinery and personnel image information at the construction machinery, and send to an artificial intelligence terminal; S2, the artificial intelligence terminal preliminarily integrates and processes various types of information collected in S1, analyzes abnormal data and issues an alarm, and the integration and processing includes real-time recording of oil quantity change, analysis of average fuel consumption and whether the machinery is in a starting state; S3, the artificial intelligence terminal further analyzes the abnormal fuel consumption data, and judges whether it is abnormal oil leakage, human theft or driver negligence according to the oil loss speed and the image information at the construction machinery; S4, the artificial intelligence terminal generates a corresponding processing scheme according to the abnormal data analysis result; S5, intercommunication and interconnection between the artificial intelligence terminal and the construction project intelligent system is established.

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