Carriage lifting control method, device, equipment, medium and product

Abstract

The invention discloses a carriage lifting control method, device and equipment, a medium and a product, and relates to the technical field of intelligent control. Receiving a remote lifting instruction sent by a user side; the remote lifting instruction comprises a target height and a target inclination angle; in response to the remote lifting instruction, multiple sensors are controlled to collect compartment state data; the multiple sensors are mounted in a target vehicle; the carriage state data comprises pressure data and inclination angle data; determining a control signal based on a preset threshold value and the carriage state data; and controlling an electro-hydraulic proportional valve to adjust the flow based on the control signal so as to control the carriage. By the adoption of the technical scheme, the state of the compartment in the lifting process is monitored in real time through the state data collected by the multiple sensors installed on the target vehicle, and compartment lifting is remotely, safely and intelligently controlled.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, and in particular to a method, device, equipment, medium, and product for controlling the lifting of a vehicle compartment. Background Technology

[0002] Traditional commercial vehicle cargo box lifting systems often require manual operation. With the advancement of intelligent control technology, in large-scale scenarios such as dump trucks, logistics cargo boxes, and construction machinery, the lack of real-time status monitoring and emergency braking mechanisms can easily lead to accidents due to overloading, cylinder leakage, or loose fasteners. Remote intelligent control is needed to ensure driver safety.

[0003] However, existing remote intelligent control systems that eliminate manual operation and achieve start-stop via simple remote control still have shortcomings: their hydraulic systems are affected by load fluctuations, resulting in unstable lifting speeds, insufficient control precision, and a tendency for cargo boxes to tilt or goods to scatter; moreover, the hydraulic pumps run at full power continuously, resulting in significant energy waste.

[0004] Therefore, existing technologies have not solved the problems of dynamic adjustment and safety closed loop, and there is an urgent need for a remote intelligent method for controlling the lifting of the carriage, so as to carry out intelligent control of the carriage based on the status data of the carriage lifting. Summary of the Invention

[0005] This invention provides a method, device, equipment, medium, and product for controlling the lifting of a vehicle compartment, in order to solve the problem that traditional vehicle compartment lifting cannot be dynamically adjusted according to the lifting status of the vehicle compartment; by collecting status data from multiple sensors installed on the target vehicle, the status of the lifting process of the vehicle compartment is monitored in real time, so as to realize remote, safe and intelligent control of the lifting of the vehicle compartment.

[0006] According to one aspect of the present invention, a method for controlling the lifting of a carriage is provided, comprising:

[0007] Receives remote lifting commands sent by the user terminal; the remote lifting commands include the target height and the target tilt angle;

[0008] In response to the remote lifting command, multiple sensors are controlled to collect cabin status data of the target vehicle; the multiple sensors are installed inside the target vehicle; the cabin status data includes pressure data and tilt angle data.

[0009] The control signal is determined based on a preset threshold and the carriage status data;

[0010] The control signal is used to control the flow rate of the car body by controlling the electro-hydraulic proportional valve.

[0011] According to another aspect of the present invention, a vehicle body lifting control device is provided, comprising:

[0012] The receiving module is used to receive remote lifting commands sent by the user terminal; the remote lifting commands include the target height and the target tilt angle;

[0013] The data acquisition module is used to control multiple sensors to acquire cabin status data of the target vehicle in response to the remote lifting command; the multiple sensors are installed inside the target vehicle; the cabin status data includes pressure data and tilt angle data;

[0014] The determination module is used to determine the control signal based on a preset threshold and the carriage status data;

[0015] The control module is used to control the flow rate of the electro-hydraulic proportional valve based on the control signal to control the carriage.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the carriage lifting control method according to any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the carriage lifting control method according to any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, implements the carriage lifting control method according to any embodiment of the present invention.

[0022] The technical solution of this invention solves the problem that traditional car body lifting cannot dynamically adjust according to the lifting status by collecting status data from multiple sensors installed on the target vehicle; it enables real-time monitoring of the car body lifting process, achieving remote, safe and intelligent control of the car body lifting.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a carriage lifting control method provided according to an embodiment of the present invention;

[0026] Figure 2 This is a flowchart of a carriage lifting control method provided according to an embodiment of the present invention;

[0027] Figure 3 This is a schematic diagram of the structure of a car lift control device according to an embodiment of the present invention;

[0028] Figure 4 This is a schematic diagram of the structure of an electronic device that implements the carriage lifting control method of this invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] Furthermore, the terms “comprising” and “having” and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product or device.

[0031] Furthermore, it should be noted that the information collected in the technical solution of this invention is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of related data all comply with the relevant laws, regulations and standards of relevant countries and regions, necessary confidentiality measures have been taken, and public order and good morals are not violated. Corresponding operation entry points are provided for users to choose to authorize or refuse.

[0032] Figure 1This invention provides a flowchart of a method for controlling the lifting of a cargo box, applicable to intelligent lifting of commercial vehicle cargo boxes, particularly suitable for remote intelligent lifting control of cargo boxes in scenarios such as dump trucks, logistics cargo boxes, and construction machinery. This method can be executed by the cargo box lifting control device provided in this invention, which can be implemented in hardware and / or software and can be configured in a server. Figure 1 As shown, the method includes:

[0033] S110: Receive remote lifting commands sent by the user terminal; the remote lifting commands include the target height and the target tilt angle.

[0034] Among them, the user terminal can be a mobile device or a service device in the dispatch center; the target height is the expected height at which the target vehicle will be lifted; and the target tilt angle is the angle between the car body and the horizontal vehicle body corresponding to the expected height at which the target vehicle will be lifted.

[0035] Specifically, it receives remote lifting commands sent by mobile devices or service equipment users in the dispatch center, performs intelligent lifting of the target vehicle to the expected height, and determines the angle between the vehicle body and the horizontal vehicle body corresponding to the expected height.

[0036] Optionally, after receiving the remote lifting command sent by the user, the following steps are also included:

[0037] The environment verification mechanism is triggered in response to remote lift commands.

[0038] Collect environmental images and spectral data of the target vehicle;

[0039] Identify spatial geometric data in environmental images;

[0040] The spectral data is transformed by pre-set risk indicators to obtain risk indicator values;

[0041] The collision probability value is obtained by predicting the target height and tilt angle in the remote lifting command through the trajectory prediction network.

[0042] The risk value is obtained by fusing spatial geometric data, risk index values, and collision probability values.

[0043] If the risk value is within the preset threshold, the collection of carriage status data will be triggered.

[0044] The environmental verification mechanism verifies obstacles in the lifting environment of the target vehicle's cargo compartment. Environmental images are acquired through cameras; spectral data is acquired through hyperspectral imagers or lidar; spatial geometric data is obtained by identifying the shapes of objects in the environmental images and reconstructing them based on their positions and environmental structures; preset risk indicators are pre-defined risk values, which can be metal collision objects; the risk indicator value can be the weight value of metal collision objects; the collision probability value is the collision probability between the target speed obtained based on the target height and target tilt angle and the preset risk indicator; the risk value is used to indicate whether obstacles exist during the intelligent lifting process.

[0045] Specifically, in response to a remote lifting command, an obstacle identification mechanism is implemented for the lifting environment. This involves acquiring images of the target vehicle's surroundings via a camera and obtaining spectral data of the environment using a hyperspectral imager or lidar. An iterative nearest-point algorithm aligns point cloud frames before and after lifting, and coordinate offsets caused by the lifting angle are corrected using attitude data to obtain spatial geometric data for the lifting scenario. Based on preset risk indicators, the spectral data is transformed to identify the material characteristics of obstacles and determine risk weights. A trajectory prediction network predicts the target height and tilt angle from the lifting command to obtain a collision probability value. Based on the risk weight value, spatial geometric data, and collision probability value, a risk value is fused. The presence of obstacles is determined based on the risk value and a preset threshold. If the risk value is within the preset threshold, it indicates that there will be no obstacle interference during the lifting process, allowing the lifting operation to proceed and triggering the collection of vehicle status data.

[0046] Understandably, by detecting potential risks using spectral data and combining this with the scenario of lifting the carriage, the system can automatically perceive environmental risks during carriage lifting. By combining multi-source sensor fusion and dynamic modeling technology, it can effectively ensure the automatic identification of obstacle risks during the carriage lifting process and achieve the safety of remote intelligent lifting control of the carriage.

[0047] In one optional embodiment of the present invention, if the risk value is not within a preset threshold, it indicates that there is an obstacle interfering during the lifting of the carriage, and the carriage lifting operation cannot be performed, and therefore the carriage status data cannot be collected; an alarm prompt can also be sent to the user terminal to remind the user terminal operator to conduct on-site inspection, thereby improving the efficiency of remote control of carriage lifting.

[0048] S120, responding to remote lifting commands, controls multiple sensors to collect cabin status data of the target vehicle; the multiple sensors are installed inside the target vehicle; the cabin status data includes pressure data and tilt angle data.

[0049] Among them, the multiple sensors are sensors installed on the target vehicle, which may include pressure sensors and high-precision tilt sensors; the pressure sensor is installed on the oil pump outlet pipeline of the target vehicle to monitor the hydraulic cylinder pressure; the high-precision tilt sensor is installed at the center of the cargo box floor and monitors the angle between the cargo box and the horizontal plane in real time by collecting the three-dimensional attitude values ​​of the cargo box of the target vehicle.

[0050] Specifically, in response to remote lifting commands, sensors installed on the target vehicle collect data on the vehicle's cargo compartment status; pressure data of the target vehicle is collected via a pressure sensor installed on the oil pump outlet pipeline; and tilt data of the target vehicle is collected via a high-precision tilt sensor installed at the center of the cargo compartment floor.

[0051] Optionally, the car status data also includes displacement data. Accordingly, car status data is collected in response to remote lifting commands, including:

[0052] Acquire displacement data from displacement sensors installed inside the hydraulic cylinder of the target vehicle;

[0053] The lifting angle is determined based on displacement data and vehicle information of the target vehicle;

[0054] Match the lift tilt angle and tilt angle data;

[0055] If the match is successful, the cylinder status of the target vehicle is determined based on the lifting angle and pressure data.

[0056] The displacement sensor uses the magnetostrictive principle to calculate displacement by the time difference between pulse emission and strain wave return; the displacement data is the current lifting height of the carriage during the lifting process; the vehicle information includes the cylinder installation tilt angle and the initial height of the lifting mechanism; the lifting tilt angle is the current tilt angle of the carriage during the lifting process; and the cylinder status indicates whether there are any abnormalities such as leakage in the cylinder.

[0057] Specifically, data is collected based on displacement sensors installed inside the hydraulic cylinders of the target vehicle to obtain the current lifting height of the cargo box; the current tilt angle of the cargo box during the lifting process is determined by combining the cylinder installation tilt angle and the initial height of the lifting mechanism, and the lifting tilt angle and tilt angle data are matched; if the match is successful, the state of the hydraulic cylinder of the target vehicle is judged based on the lifting tilt angle and pressure data; if the pressure increases sharply while the tilt angle remains unchanged, it indicates that the piston inside the hydraulic cylinder is obstructed; if the pressure drops sharply and the tilt angle falls back, it indicates that there is internal or external leakage in the hydraulic cylinder.

[0058] Understandably, the displacement data collected by the displacement sensor achieves the dual purpose of verifying the consistency of the tilt angle and the status of the hydraulic cylinder. The tilt angle data is checked for consistency based on the displacement data, and the hydraulic cylinder is diagnosed based on the displacement data and pressure data, ensuring that the hydraulic cylinder is in normal condition during the lifting process and enabling remote control of the carriage for intelligent lifting.

[0059] In an optional embodiment of the present invention, the wear degree of the seals inside the cylinder can also be calculated based on the displacement data collected by the displacement sensor; the wear index can be calculated by the piston movement speed inside the cylinder, the lifting angle and the material wear coefficient, and then the remaining life of the seals can be estimated, so as to realize the real-time estimation of the service life of the seals inside the cylinder, reduce safety hazards and ensure the safety of remotely controlled intelligent lifting of the carriage.

[0060] Optionally, the car status data also includes vibration spectrum; correspondingly, car status data is acquired in response to remote lifting commands, including:

[0061] Obtain the vibration spectrum collected by a vibration sensor installed near the fixed part of the target vehicle;

[0062] Fault identification is performed on the vibration spectrum based on a preset frequency threshold.

[0063] If the target vehicle malfunctions, an alarm message is sent to the user terminal; the alarm message includes fault data.

[0064] Among them, the vibration spectrum is the vibration data collected by vibration sensors arranged in the vicinity of the lifting pump base and other fixed components; the preset frequency threshold is the normal frequency range of the lifting pump and other fixed components; and the fault data is the fault point and the vibration spectrum corresponding to the fault point.

[0065] Specifically, vibration sensors placed near the lift pump base and other fixed components collect data to monitor the vibration spectrum of the hydraulic pump in real time. Fault identification is performed based on the vibration spectrum according to a preset frequency threshold. If the frequency is not within the preset threshold, it indicates a fault in the target vehicle, and the fault point and its corresponding vibration spectrum are sent as alarm information to the user. For example, high-frequency vibration above 200Hz is initially identified as a cavitation warning; periodic impacts of 50-80Hz are initially identified as piston wear; and further investigation can be conducted on loose fasteners. Risk prediction is performed. For example, if the initial reference frequency of the bolt tightening state is 125Hz, and the frequency collected by the vibration sensor placed near the bolt fastener drops to 110Hz, it indicates a 15% loss of preload. This can be preliminarily determined that the bolt is in the early stage of loosening, and the bolt and the corresponding frequency of 110Hz are sent to the user terminal as alarm information and displayed. If the frequency collected by the vibration sensor placed near the bolt fastener drops to 100Hz, it indicates a 30% loss of preload. This can be preliminarily determined that the bolt is severely loose, and the bolt and the corresponding frequency of 100Hz are sent to the user terminal as alarm information and displayed.

[0066] It is understandable that by acquiring vibration data through vibration sensors, it is possible to predict or determine whether fasteners are loose or malfunctioning, thereby enabling real-time monitoring and emergency braking mechanisms to effectively prevent safety accidents caused by fasteners coming loose during the lifting of the carriage.

[0067] S130. Determine the control signal based on the preset threshold and the carriage status data.

[0068] The preset threshold is the available range of carriage status data; the control signal is the instruction to control the vehicle, used to regulate the flow and control the lifting of the carriage.

[0069] Specifically, the control signal corresponding to the car status data is determined by comparing the acquired car status data with the preset threshold corresponding to the car status data, so as to control the lifting of the car.

[0070] S140, The car body is controlled by adjusting the flow rate using an electro-hydraulic proportional valve based on the control signal.

[0071] Specifically, the flow rate of the electro-hydraulic proportional valve is dynamically adjusted according to the control signal to achieve stepless speed regulation of the lifting speed.

[0072] In one alternative embodiment of the invention, when the target vehicle's cargo compartment reaches the lifting height, an electromagnetic locking device is activated to lock the cargo compartment; when the target vehicle's cargo compartment descends, an energy recovery system is activated to convert gravitational potential energy into electrical energy for storage. This achieves full-dimensional state perception during the lifting process and improves system maintainability.

[0073] The technical solution of this invention involves receiving a remote lifting command sent by a user terminal. The remote lifting command includes a target height and a target tilt angle. In response to the remote lifting command, multiple sensors are controlled to collect cargo compartment status data. These sensors are installed inside the target vehicle. The cargo compartment status data includes pressure data and tilt angle data. A control signal is determined based on a preset threshold and the cargo compartment status data. Based on the control signal, an electro-hydraulic proportional valve is used to adjust the flow rate for cargo compartment control. This technical solution solves the problem that traditional cargo compartment lifting systems cannot dynamically adjust according to the cargo compartment lifting status. By collecting status data from multiple sensors installed in the target vehicle, the status of the cargo compartment lifting process is monitored in real time, enabling remote, safe, and intelligent control of the cargo compartment lifting.

[0074] Figure 2 This is a flowchart of a vehicle lifting control method according to an embodiment of the present invention. The embodiments of the present invention supplement the specific method for determining the control signal based on the above embodiments. It should be noted that for parts not described in detail in the embodiments of the present invention, please refer to the relevant descriptions in other embodiments. For example... Figure 2 As shown, the method includes:

[0075] S210: Receives remote lifting commands sent by the user terminal.

[0076] S220, responding to remote lifting commands, controls multiple sensors to collect cabin status data of the target vehicle; the multiple sensors are installed inside the target vehicle; the cabin status data includes pressure data and tilt angle data.

[0077] S230. Determine the target speed based on the target height and target tilt angle in the remote lifting command.

[0078] The target speed is the operating speed during the lifting process of the carriage.

[0079] Specifically, the target height and target tilt angle in the remote lifting command are calculated to obtain the operating speed during the lifting process of the carriage.

[0080] S240. The pressure data in the preset threshold and the carriage status data are compared to obtain the comparison results.

[0081] The preset threshold is the normal threshold during the lifting process of the hydraulic cylinder in the carriage; the comparison result can be that the pressure data is less than the preset threshold, or the pressure data is greater than the preset threshold.

[0082] Specifically, the normal threshold during the lifting process of the carriage cylinder is compared with the pressure data collected in real time by the pressure sensor during the lifting process of the carriage to obtain the comparison result.

[0083] S250: Determine the control signal based on the comparison results and the target speed.

[0084] Specifically, the control signal is determined based on the relationship between the pressure data and the preset threshold in the comparison results, combined with the lifting speed.

[0085] Optionally, control signals are determined based on the comparison results and lifting speed, including:

[0086] If the comparison result shows that the pressure data is less than the preset threshold, the control signal is the command to open the oil supply valve;

[0087] If the comparison result shows that the pressure data is greater than the preset threshold, the lifting speed is predicted based on the pressure data and tilt angle data in the carriage status data.

[0088] The target speed is compared with the lifting speed. If the lifting speed is greater than the target speed, the control signal is a command to open the pressure relief valve.

[0089] Among them, the oil supply valve command is to open the oil supply valve to replenish oil; the target speed is the future lifting speed of the car body calculated and predicted based on real-time collected pressure data and tilt angle data; and the pressure relief valve command is to open the pressure relief valve to release pressure.

[0090] Specifically, if the comparison result shows that the pressure data is less than the preset threshold, it indicates that the current pressure cannot support the constant speed lifting of the carriage to the lifting height, and the oil supply valve needs to be opened to replenish the oil flow. In this case, the control signal is an instruction to open the oil supply valve. If the comparison result shows that the pressure data is greater than the preset threshold, it indicates that the current pressure will cause the lifting to accelerate. In this case, the target speed is further predicted based on the pressure data and tilt angle data in the carriage status data. The target speed is compared with the lifting speed. If the target speed is greater than the lifting speed, the control signal is an instruction to open the pressure relief valve, so as to release the excess pressure through the pressure relief valve of the lifting device.

[0091] S260: The car body is controlled by adjusting the flow rate using an electro-hydraulic proportional valve based on the control signal.

[0092] This invention compares real-time vehicle status data collected by sensors with lifting command data to achieve remote intelligent and automated control of the vehicle lifting process. This solves the problem of response lag caused by reliance on manual operation in traditional lifting systems. By collecting sensor data from multiple sensors, real-time dynamic adjustment and off-center load compensation are achieved to ensure lifting stability under complex road conditions.

[0093] Figure 3This is a schematic diagram of a cargo box lifting control device provided in an embodiment of the present invention. This embodiment is applicable to the intelligent lifting of commercial vehicle cargo boxes, particularly suitable for remote intelligent lifting control of cargo boxes in scenarios such as dump trucks, logistics cargo boxes, and construction machinery. The cargo box lifting control device can be implemented in hardware and / or software and can be configured in a server. The cargo box lifting control device 300 includes a receiving module 310, a data acquisition module 320, a determination module 330, and a control module 340.

[0094] The receiving module 310 is used to receive remote lifting commands sent by the user terminal; the remote lifting commands include the target height and the target tilt angle;

[0095] The data acquisition module 320 is used to control multiple sensors to collect cargo compartment status data of the target vehicle in response to remote lifting commands; the multiple sensors are installed inside the target vehicle; the cargo compartment status data includes pressure data and tilt angle data;

[0096] The determination module 330 is used to determine the control signal based on a preset threshold and carriage status data;

[0097] The control module 340 is used to control the car body by adjusting the flow rate of the electro-hydraulic proportional valve based on the control signal.

[0098] The technical solution of this invention involves receiving a remote lifting command sent by a user terminal; responding to the remote lifting command by controlling multiple sensors to collect cargo compartment status data; these multiple sensors are installed inside the target vehicle; the cargo compartment status data includes pressure data and tilt angle data; the lifting command includes lifting height and lifting tilt angle; a control signal is determined based on a preset threshold and the cargo compartment status data; and the flow rate is adjusted by controlling an electro-hydraulic proportional valve based on the control signal to control the cargo compartment. This technical solution solves the problem that traditional cargo compartment lifting cannot dynamically adjust according to the cargo compartment lifting status. By collecting status data from multiple sensors installed in the target vehicle, the status of the cargo compartment lifting process is monitored in real time, achieving remote, safe, and intelligent control of the cargo compartment lifting.

[0099] Optionally, the carriage lifting control device 300 also includes a verification module for triggering an environmental verification mechanism in response to a remote lifting command;

[0100] Collect environmental images and spectral data of the target vehicle;

[0101] Identify spatial geometric data in environmental images;

[0102] The spectral data is transformed by pre-set risk indicators to obtain risk indicator values;

[0103] The collision probability value is obtained by predicting the target height and tilt angle in the remote lifting command through the trajectory prediction network.

[0104] The risk value is obtained by fusing spatial geometric data, risk index values, and collision probability values.

[0105] If the risk value is within the preset threshold, the collection of carriage status data will be triggered.

[0106] Optionally, the carriage status data also includes displacement data. The acquisition module 320 is also used to acquire displacement data collected by the displacement sensor installed inside the target vehicle's hydraulic cylinder.

[0107] The lifting angle is determined based on displacement data and vehicle information of the target vehicle;

[0108] Match the lift tilt angle and tilt angle data;

[0109] If the match is successful, the cylinder status of the target vehicle is determined based on the lifting angle and pressure data.

[0110] Optionally, the carriage status data also includes vibration spectrum, and the acquisition module 320 is also used to acquire the vibration spectrum collected by the vibration sensor;

[0111] Fault identification is performed on the vibration spectrum based on a preset frequency threshold.

[0112] If the target vehicle malfunctions, an alarm message is sent to the user terminal; the alarm message includes fault data.

[0113] Optionally, the control module 340 is also used to determine the target speed based on the target height and target tilt angle in the remote lifting command;

[0114] The comparison results are obtained by comparing the pressure data in the preset threshold and the carriage status data;

[0115] The control signal is determined based on the comparison results and the target speed.

[0116] Optionally, the control module 340 is also used to control the oil supply valve command if the comparison result is that the pressure data is less than the preset threshold.

[0117] If the comparison result shows that the pressure data is greater than the preset threshold, the lifting speed is predicted based on the pressure data and tilt angle data in the carriage status data.

[0118] The target speed is compared with the lifting speed. If the lifting speed is greater than the target speed, the control signal is a command to open the pressure relief valve.

[0119] The carriage lifting control device provided in the embodiments of the present invention can execute the carriage lifting control method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0120] According to embodiments of the present invention, the present invention also provides an electronic device, a readable storage medium, and a computer program product.

[0121] Figure 4 A schematic diagram of an electronic device 10, which can be used to implement embodiments of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0122] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0123] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0124] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the carriage lifting control method.

[0125] In some embodiments, the car lift control method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded into and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the car lift control method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the car lift control method by any other suitable means (e.g., by means of firmware).

[0126] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0127] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0128] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0129] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0130] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0131] A computing system can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product within the cloud computing service system. This addresses the shortcomings of traditional physical hosts and dedicated virtual services, such as high management difficulty and weak business scalability.

[0132] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0133] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for controlling the lifting of a carriage, characterized in that, include: Receives remote lifting commands sent by the user terminal; the remote lifting commands include the target height and the target tilt angle; In response to the remote lifting command, multiple sensors are controlled to collect cabin status data of the target vehicle; the multiple sensors are installed inside the target vehicle; the cabin status data includes pressure data and tilt angle data. The control signal is determined based on a preset threshold and the carriage status data; The control signal is used to control the flow rate of the carriage by controlling the electro-hydraulic proportional valve.

2. The method according to claim 1, characterized in that, After receiving the remote lifting command sent by the user, it also includes: The environment verification mechanism is triggered in response to the remote lift command; Collect environmental images and spectral data of the target vehicle; Identify spatial geometric data in the environmental image; The spectral data is converted using preset risk indicators to obtain risk indicator values; The target height and tilt angle in the remote lifting command are predicted by a trajectory prediction network to obtain the collision probability value; The risk index value and the collision probability value are fused together to obtain the risk value from the spatial geometric data. If the risk value is within a preset threshold, the collection of carriage status data will be triggered.

3. The method according to claim 1, characterized in that, The carriage status data also includes displacement data. Accordingly, in response to the remote lifting command, carriage status data is collected, including: Acquire displacement data from displacement sensors installed inside the hydraulic cylinder of the target vehicle; The lifting angle is determined based on the displacement data and the vehicle information of the target vehicle; Match the lifting tilt angle and the tilt angle data; If the match is successful, the cylinder status of the target vehicle is determined based on the lifting angle and the pressure data.

4. The method according to claim 1, characterized in that, The carriage status data also includes a vibration spectrum. Accordingly, the carriage status data is collected in response to the remote lifting command, including: Obtain the vibration spectrum collected by a vibration sensor installed near the fixed part of the target vehicle; Fault identification is performed on the vibration spectrum based on a preset frequency threshold. If the target vehicle malfunctions, an alarm message is sent to the user terminal; the alarm message includes fault data.

5. The method according to claim 1, characterized in that, The determination of the control signal based on the preset threshold and the carriage status data includes: The target speed is determined based on the target height and target tilt angle in the remote lifting command; The comparison results are obtained by comparing the pressure data in the carriage status data with the preset threshold. The control signal is determined based on the comparison results and the target speed.

6. The method according to claim 5, characterized in that, The determination of the control signal based on the comparison result and the lifting speed includes: If the comparison result indicates that the pressure data is less than the preset threshold, then the control signal is a command to open the oil supply valve; If the comparison result is that the pressure data is greater than the preset threshold, then the lifting speed is predicted based on the pressure data and tilt angle data in the carriage status data. The target speed is compared with the lifting speed. If the lifting speed is greater than the target speed, the control signal is a command to open the pressure relief valve.

7. A carriage lifting control device, characterized in that, include: The receiving module is used to receive remote lifting commands sent by the user terminal; The data acquisition module is used to control multiple sensors to acquire cabin status data of the target vehicle in response to the remote lifting command; the multiple sensors are installed inside the target vehicle; the cabin status data includes pressure data and tilt angle data; the remote lifting command includes target height and target tilt angle. The determination module is used to determine the control signal based on a preset threshold and the carriage status data; The control module is used to control the flow rate of the electro-hydraulic proportional valve based on the control signal to control the carriage.

8. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the car lifting control method as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the carriage lifting control method as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the car lifting control method according to any one of claims 1-6.

Images