A gantry crane tire monitoring method, device and storage medium

Abstract

This application provides a tire monitoring method for gantry cranes, relating to the field of tire pressure monitoring technology. It includes the following steps: S1, installing a pressure sensor for monitoring tire pressure in each tire of the gantry crane; S2, at first predetermined intervals, all pressure sensors upload the monitored tire pressure data to a cloud platform; S3, after receiving the tire pressure data, the cloud platform constructs several first data sequences, which include tire pressure data of the same tire uploaded at different times; S4, determining whether there is a tire pressure abnormality based on the first data sequences; S5, if a tire pressure abnormality is found, issuing an automatic inflation / deflation request or issuing a tire damage alarm. This application achieves automatic tire pressure monitoring, accurately identifies different types of tire pressure abnormalities, and performs corresponding automatic inflation / deflation or issues maintenance alarms.

Description

Technical Field

[0001] This application relates to the field of tire pressure monitoring technology, and in particular to a method, equipment and storage medium for monitoring tires of gantry cranes. Background Technology

[0002] Gantry cranes, also known as portal cranes, are a type of bridge crane. In ports, they are mainly used for loading and unloading cargo and bulk materials in outdoor freight yards and material yards. Their metal structure resembles a portal frame, with two legs supporting the main beam, allowing them to travel directly on ground-level tracks. The main beam can have cantilever beams extending outwards at both ends. Gantry cranes are characterized by high site utilization, a large operating range, wide adaptability, and strong versatility, making them widely used in port freight yards.

[0003] Gantry cranes move using tires, which are located on both sides of the crane, with multiple tires installed on each side for overall support. During use, the tire pressure of gantry cranes changes over time, depending on the operating environment and unexpected damage, necessitating maintenance operations such as inflation / deflation or tire replacement.

[0004] Currently, tire maintenance is generally achieved by manually checking tire pressure at irregular intervals. This method is not only time-consuming and labor-intensive, but it also only checks the tire pressure at a single point in time, which can easily lead to missed checks. Summary of the Invention

[0005] This application provides a method, device, and storage medium for monitoring the tires of a gantry crane, in order to at least solve the above-mentioned technical problems existing in the prior art.

[0006] According to a first aspect of this application, a method for monitoring the tires of a gantry crane is provided, comprising the following steps:

[0007] S1, Install pressure sensors in each tire of the gantry crane to monitor tire pressure;

[0008] S2, at the first specified time interval, all pressure sensors upload the monitored tire pressure data to the cloud platform;

[0009] S3, after receiving the tire pressure, the cloud platform constructs several first sequences, which include tire pressure data of the same tire uploaded at different times;

[0010] S4, determine whether there is an abnormal tire pressure based on the first sequence of data;

[0011] S5, if there is an abnormal tire pressure, will issue a request for automatic inflation or deflation or issue a tire damage warning.

[0012] In some embodiments of the first aspect of this application, in step S2, the cloud platform uses a matrix Record the tire pressure data at the previous moment m-1;

[0013]

[0014] At the present moment When new tire pressure data is received, it is added to the original matrix to obtain the matrix. ;

[0015]

[0016] in, represent The time measured at the first j The tire pressure of each tire.

[0017] In some embodiments of the first aspect of this application, the method for constructing the first sequence is as follows:

[0018] At the current moment matrix Each column of data is independently split to obtain several first sequences. ;

[0019]

[0020] Among them, the first sequence subscript This represents the tire's serial number.

[0021] In some embodiments of the first aspect of this application, the method for determining whether there is an abnormal tire pressure based on the first sequence is as follows:

[0022] The first sequence The last two tire pressures and Compare the tire pressure with the set upper and lower limits; if the tire pressure and If the tire pressure is greater than the upper limit, it is determined to be a tire. The tire pressure is too high, and an automatic deflation request is issued; if the tire pressure is too high... and If the tire pressure is also below the lower limit, it is considered a tire... The tire pressure is too low, and an automatic inflation request is sent.

[0023] The first sequence The last three tire pressures , and Compare the tire pressure with the set upper and lower limits; if the tire pressure , and If the tire pressure is greater than the upper limit or less than the lower limit, the tire is considered damaged and an alarm will be issued.

[0024] In some embodiments of the first aspect of this application, a second sequence is also provided to correct the upper and lower limits of tire pressure; the second sequence includes tire pressure data of different tires uploaded at the same time.

[0025] In some embodiments of the first aspect of this application, the second sequence is constructed as follows:

[0026] At the current moment matrix The data in the last row of the sequence is split independently to obtain the second sequence. ;

[0027] .

[0028] In some embodiments of the first aspect of this application, the method for correcting the upper and lower limits of tire pressure using the second sequence is as follows:

[0029] Calculate the first mean and standard deviation of all tire pressures in the second series;

[0030] Calculate the difference between each tire pressure in the second sequence and the first average value;

[0031] If the difference is greater than k times the standard deviation, the corresponding tire pressure is considered an outlier and the outlier is removed from the second sequence.

[0032] Recalculate the second average of all tire pressures in the second series after removing outliers;

[0033] Multiplying the second average value by a first coefficient greater than 1 yields the upper limit of tire pressure, and multiplying the second average value by a second coefficient less than 1 yields the lower limit of tire pressure.

[0034] In some embodiments of the first aspect of this application, k is 2 or 3.

[0035] According to a second aspect of this application, an electronic device is provided, comprising:

[0036] At least one processor; and

[0037] A memory communicatively connected to the at least one processor; wherein,

[0038] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in this application.

[0039] According to a third aspect of this application, a non-transitory computer-readable storage medium is provided storing computer instructions for causing the computer to perform the methods described in this application.

[0040] Compared with the prior art, this application has the following advantages:

[0041] This application continuously monitors the tire pressure of each tire by installing pressure sensors inside the tires and uploads the data to a cloud platform, achieving automatic tire pressure monitoring without missing any detections and saving a lot of manpower. In addition, through data processing on the cloud platform, different types of abnormal tire pressure can be accurately identified, and corresponding automatic inflation / deflation or maintenance alarms can be issued.

[0042] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0043] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of this application are illustrated in the drawings by way of example and not limitation, in which:

[0044] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

[0045] Figure 1 A schematic diagram illustrating the implementation process of the gantry crane tire monitoring method according to Embodiment 1 of this application is shown.

[0046] Figure 2 A schematic diagram of the composition structure of an electronic device according to Embodiment 2 of this application is shown. Detailed Implementation

[0047] To make the objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] Example 1:

[0049] like Figure 1 As shown in the figure, this embodiment provides a method for monitoring the tires of a gantry crane, including the following steps:

[0050] S1, a pressure sensor is installed in each tire of the gantry crane to monitor tire pressure. All pressure sensors work independently and continuously monitor the tire pressure of all tires.

[0051] S2, every first predetermined time interval t, all pressure sensors upload the monitored tire pressure data to the cloud platform. The time interval t can be adjusted according to the actual situation, and can be 30 minutes or 1 hour.

[0052] After receiving the uploaded tire pressure data, the cloud platform uses a matrix... Record the tire pressure data at the previous moment m-1;

[0053]

[0054] At the present moment When new tire pressure data is received, it is added to the original matrix to obtain the matrix. ;

[0055]

[0056] in, represent The time measured at the first j The matrix represents the tire pressure of each tire, and the subscript m represents the current time sequence. As time goes on, the number of rows in the matrix increases.

[0057] S3, after receiving the tire pressure, the cloud platform constructs several first sequences, which include tire pressure data of the same tire uploaded at different times.

[0058] Specifically, the method for constructing the first sequence is as follows:

[0059] At the current moment matrix Each column of data is independently split to obtain several first sequences. ;

[0060]

[0061] Among them, the first sequence subscript This represents the tire's serial number.

[0062] S4, determine whether there is an abnormal tire pressure based on the first sequence of numbers.

[0063] The specific judgment method is as follows:

[0064] The first sequence The last two tire pressures and Compare the tire pressure with the set upper and lower limits; if the tire pressure and If the tire pressure is greater than the upper limit, it is determined to be a tire. The tire pressure is too high, and an automatic deflation request is issued; if the tire pressure is too high... and If the tire pressure is also below the lower limit, it is considered a tire. The tire pressure is too low, and an automatic inflation request is issued.

[0065] This method combines the vertical readings of two tire pressures for a comprehensive judgment because various factors can influence the accuracy of pressure sensor outputs, leading to misjudgments. To minimize this risk, this method uses the two most recently detected consecutive tire pressures for judgment. Only when both tire pressures are simultaneously high or low is the tire pressure confirmed as too high or too low, thus reducing the risk of misjudgment.

[0066] However, this method also introduces some drawbacks. In actual cases of excessively high or low tire pressure, the gantry crane's tires will continue to operate in an abnormal state during the interval between two consecutive tire pressure checks. To reduce the duration of this abnormal state, this method further modifies the first predetermined time t of the interval between the pressure sensor uploading tire pressure data in step S2 when the first instance of excessively low tire pressure is detected.

[0067] That is, the first sequence The last tire pressure Compare the tire pressure with the set upper and lower limits; if the tire pressure If the tire pressure is greater than the upper limit or less than the lower limit, the tire pressure data will be monitored and uploaded again at a second specified interval. The second specified interval is less than the first specified interval. Preferably, the second specified interval is 5 minutes.

[0068] When the system detects that a tire is too inflated or too underinflated, it will automatically inflate or deflate it. Normally, the tire pressure should return to normal on the next monitoring. If the tire pressure is still too high or too low, it means the tire is damaged and cannot be used.

[0069] To achieve the above objectives, the first sequence The last three tire pressures , and Compare the tire pressure with the set upper and lower limits; if the tire pressure , and If the tire pressure is greater than the upper limit or less than the lower limit, the tire is considered damaged, and an alarm will be issued to notify maintenance personnel to replace the tire as soon as possible.

[0070] S5, if there is an abnormal tire pressure, will issue a request for automatic inflation or deflation or issue a tire damage warning.

[0071] The optimal tire pressure varies depending on different environmental factors (such as temperature and humidity). To eliminate the influence of environmental factors, this method uses the tire pressure measured on all tires on the same gantry crane to correct for the upper and lower limits of tire pressure.

[0072] Specifically, this embodiment also provides a second sequence of data to correct the upper and lower limits of tire pressure; the second sequence of data includes tire pressure data of different tires uploaded at the same time.

[0073] The second sequence is constructed as follows:

[0074] At the current moment matrix The data in the last row of the sequence is split independently to obtain the second sequence. ;

[0075] .

[0076] The method for correcting the upper and lower limits of tire pressure using the second sequence is as follows:

[0077] Calculate the first mean and standard deviation of all tire pressures in the second series;

[0078] Calculate the difference between each tire pressure in the second sequence and the first average value;

[0079] If the difference is greater than k times the standard deviation, the corresponding tire pressure is considered an outlier and the outlier is removed from the second sequence; it is worth mentioning that k is 2 or 3.

[0080] Recalculate the second average of all tire pressures in the second series after removing outliers;

[0081] The upper limit of tire pressure is obtained by multiplying the second average value by a first coefficient greater than 1, and the lower limit of tire pressure is obtained by multiplying the second average value by a second coefficient less than 1; preferably, the first coefficient is 0.8 and the second coefficient is 1.2.

[0082] This allows for the correction of the upper and lower limits of tire pressure, enabling the identification of abnormal tire pressure conditions on the upper part of the gantry crane caused by accidents, based on the corrected upper and lower limits.

[0083] Example 2:

[0084] This second embodiment also provides an electronic device and a readable storage medium.

[0085] Figure 2 A schematic block diagram of an example electronic device that can be used to implement embodiments of this application 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 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, 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 application described and / or claimed herein.

[0086] like Figure 2 As shown, the device includes a computing unit that can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) or a computer program loaded from a storage unit into random access memory (RAM). The RAM can also store various programs and data required for device operation. The computing unit, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0087] Multiple components in the device are connected to the I / O interface, including: input units such as keyboards and mice; output units such as various types of displays and speakers; storage units such as disks and optical discs; and communication units such as network interface cards (NICs), modems, and wireless transceivers. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0088] The computing unit can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of computing units include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit performs the various methods and processes described above, such as the gantry crane tire monitoring method described in Embodiment 1. For example, in some embodiments, the gantry crane tire monitoring method can be implemented as a computer software program tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program can be loaded and / or installed on the device via ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the computing unit, one or more steps of the gantry crane tire monitoring method described above can be performed. Alternatively, in other embodiments, the computing unit can be configured to perform the gantry crane tire monitoring method by any other suitable means (e.g., by means of firmware).

[0089] 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.

[0090] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0091] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. 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 of the foregoing.

[0092] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. 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).

[0093] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user 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., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0094] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0095] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

[0096] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0097] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for monitoring the tires of a gantry crane, characterized in that, Includes the following steps: S1, Install pressure sensors in each tire of the gantry crane to monitor tire pressure; S2, at the first specified time interval, all pressure sensors upload the monitored tire pressure data to the cloud platform; S3, after receiving the tire pressure, the cloud platform constructs several first sequences, which include tire pressure data of the same tire uploaded at different times; S4, determine whether there is an abnormal tire pressure based on the first sequence of data; S5, if there is an abnormal tire pressure, will issue a request for automatic inflation or deflation or issue a tire damage warning; In S2, the cloud platform uses a matrix Record the tire pressure data at the previous moment m-1; At the present moment When new tire pressure data is received, it is added to the original matrix to obtain the matrix. ; in, represent The time measured at the first j Tire pressure of each tire; The method for constructing the first sequence is as follows: At the current moment matrix Each column of data is independently split to obtain several first columns. ; Among them, the first sequence subscript The serial number representing the tire; The method for determining whether there is an abnormal tire pressure based on the first sequence is as follows: The first sequence The last two tire pressures and Compare the tire pressure with the set upper and lower limits; if the tire pressure and If the tire pressure is greater than the upper limit, it is determined to be a tire. The tire pressure is too high, and an automatic deflation request is issued; if the tire pressure is too high... and If the tire pressure is also below the lower limit, it is considered a tire. The tire pressure is too low, and an automatic inflation request is sent. The first sequence The last three tire pressures , and Compare the tire pressure with the set upper and lower limits; if the tire pressure , and If the tire pressure is both greater than the upper limit or less than the lower limit, the tire is considered damaged and an alarm will be issued. The first sequence The last tire pressure Compare the tire pressure with the set upper and lower limits; if the tire pressure If the tire pressure is greater than the upper limit or less than the lower limit, the tire pressure data will be monitored and uploaded again at a second specified interval, which is shorter than the first specified interval.

2. The gantry crane tire monitoring method according to claim 1, characterized in that, A second series is also provided to correct the upper and lower limits of tire pressure; the second series includes tire pressure data of different tires uploaded at the same time.

3. The gantry crane tire monitoring method according to claim 2, characterized in that, The second sequence is constructed as follows: At the current moment matrix The data in the last row of the sequence is split independently to obtain the second sequence. ; 。 4. The gantry crane tire monitoring method according to claim 3, characterized in that, The method for correcting the upper and lower limits of tire pressure using the second sequence is as follows: Calculate the first mean and standard deviation of all tire pressures in the second series; Calculate the difference between each tire pressure in the second sequence and the first average value; If the difference is greater than k times the standard deviation, the corresponding tire pressure is considered an outlier and the outlier is removed from the second sequence. Recalculate the second average of all tire pressures in the second series after removing outliers; Multiplying the second average value by a first coefficient greater than 1 yields the upper limit of tire pressure, and multiplying the second average value by a second coefficient less than 1 yields the lower limit of tire pressure.

5. The gantry crane tire monitoring method according to claim 4, characterized in that, The value of k is 2 or 3.

6. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

7. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

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