Methods, devices, equipment, storage media, and smart beds for determining fault types

Abstract

This invention belongs to the technical field of fault diagnosis, specifically relating to a method, apparatus, device, storage medium, and smart bed for determining fault types. The invention proposes a method for determining fault types, comprising: deflating airbags in the smart bed according to preset rules; periodically inflating each deflated airbag for a preset duration; acquiring the current air pressure of each airbag after inflation; and determining the fault type of the smart bed based on the current air pressure of all airbags. This method enables easy determination of the type and cause of a fault in the smart bed without disassembling it, simplifying the maintenance of the smart bed.

Description

Technical Field

[0001] This invention belongs to the technical field of fault diagnosis, specifically relating to a method, apparatus, device, storage medium, and intelligent bed for determining fault types. Background Technology

[0002] With the popularization and promotion of smart beds, beds with built-in massage functions are also becoming increasingly popular. Currently, massage smart beds mainly use airbags. The massage module of a current smart bed with built-in airbag massage consists of four main components: an air pump, a solenoid valve, airbags, and a control module. During operation, the air pump and valve are controlled to inflate and deflate the airbags. This inflation and deflation causes the airbags to rise or fall, achieving the massage function. However, the solenoid valve and airbags are built into the mattress and cannot be removed. Therefore, when a smart bed malfunctions, it is difficult to diagnose the problem, making repairs very challenging. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a method for determining fault types, comprising: deflating the airbags in the smart bed according to preset rules; periodically inflating each deflated airbag for a preset duration; acquiring the current air pressure of each airbag after inflation; and determining the fault type of the smart bed based on the current air pressure of all airbags. This method enables easy determination of the type and cause of the smart bed's fault without disassembling the bed, simplifying its maintenance.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention includes five aspects.

[0005] In a first aspect, a method for determining a fault type is provided, comprising: deflating the airbags in the smart bed according to a preset rule; inflating each deflated airbag for a preset duration; obtaining the current air pressure of each airbag after inflation; and determining the fault type of the smart bed based on the current air pressure of all airbags.

[0006] In some embodiments, determining the fault type of the smart bed based on the current air pressure of all airbags includes: obtaining a preset air pressure for each airbag; the preset air pressure is determined by the smart bed at the time of manufacture; and determining the fault type based on the current air pressure of all airbags and the preset air pressure.

[0007] In some embodiments, determining the fault type based on the current air pressure of all airbags and the preset air pressure includes: determining the inflation completion rate of each airbag based on the current air pressure of each airbag and the preset air pressure; and determining the fault type based on the inflation completion rate of all airbags.

[0008] In some embodiments, the fault type includes: airbag fault; determining the fault type based on the inflation completion of all airbags includes: when the inflation completion of any airbag is greater than or equal to 1, and the inflation completion of any airbag is less than 1 or equal to 0, the fault type is determined to be airbag fault.

[0009] In some embodiments, the fault type further includes: a first air pump fault; determining the fault type based on the inflation completion of all airbags further includes: when the inflation completion of all airbags is less than 1 and not all of them are 0, obtaining the number of airbags with equal inflation completion; obtaining a first preset threshold; when the number of airbags is greater than or equal to the first preset threshold, determining the fault type as a first air pump fault.

[0010] In some embodiments, the fault type includes: a second air pump failure; determining the fault type based on the inflation completion of all airbags further includes: determining the fault type as a second air pump failure when the inflation completion of all airbags is equal to 0.

[0011] Secondly, this application also proposes a fault type determination device, comprising: a first execution module for deflating airbags in a smart bed according to a preset rule; a second execution module for periodically inflating each deflated airbag for a preset duration; a first acquisition module for acquiring the current air pressure of each airbag after inflation; and a first determination module for determining the fault type of the smart bed based on the current air pressure of all airbags.

[0012] A third aspect provides an electronic device including a storage device and a processor, the storage device storing a computer program, the processor executing the computer program to implement the steps of a method for determining a fault type.

[0013] The fourth aspect provides a storage medium storing a computer program that can be executed by one or more processors, the computer program being able to implement the steps of the method for determining any fault type in the first aspect.

[0014] Fifthly, a smart bed is provided, comprising a smart bed body and an electronic device as described in the third aspect, wherein the smart bed body is connected to the electronic device.

[0015] The beneficial effects of this invention are as follows: A method for determining a fault type includes: deflating the airbags in a smart bed according to a preset rule; periodically inflating each deflated airbag for a preset duration; acquiring the current air pressure of each airbag after inflation; and determining the fault type of the smart bed based on the current air pressure of all airbags. This allows for easy determination of the type and cause of a smart bed fault without disassembling the bed, simplifying smart bed maintenance. Attached Figure Description

[0016] The scope of this disclosure can be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. The accompanying drawings are:

[0017] Figure 1 A flowchart illustrating an overall method for determining a fault type provided in an embodiment of this application;

[0018] Figure 2 This is a structural block diagram of a fault type determination device provided in an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0021] If the application documents contain similar descriptions such as "first, second, third", the following explanation shall be added: In the following description, the terms "first, second, third" are used only to distinguish similar objects and do not represent a specific order of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0023] Example 1:

[0024] With the popularization and promotion of smart beds, beds with built-in massage functions are also becoming increasingly popular. Currently, massage smart beds mainly use airbags. The massage module of a current smart bed with built-in airbag massage consists of four main components: an air pump, a solenoid valve, airbags, and a control module. During operation, the air pump and valve are controlled to inflate and deflate the airbags. This inflation and deflation causes the airbags to rise or fall, achieving the massage function. However, the solenoid valve and airbags are built into the mattress and cannot be removed. Therefore, when a smart bed malfunctions, it is difficult to diagnose the problem, making repairs very challenging.

[0025] To address the problems existing in the current technology, such as Figure 1 As shown, this application provides a method for determining fault types. The method is applied to electronic devices, such as servers, mobile terminals, computers, and cloud platforms. The functions implemented by the device data processing provided in this application embodiment can be achieved by the processor of the electronic device calling program code. The program code can be stored in a computer storage medium. The method for determining fault types includes:

[0026] Step S1: Deflat the airbags in the smart bed according to preset rules.

[0027] Each airbag in the smart bed is equipped with a pressure sensor. Commonly malfunctioning components in a smart bed include the airbags, air pump, solenoid valves, and control switches. These malfunctions can be identified by re-inflating each airbag and analyzing the final inflation result. Therefore, in this application, all airbags in the smart bed need to be deflated before determining the malfunction type. However, to prevent the simultaneous deflation of a large number of airbags from causing a reaction force that could lead to other unexpected situations, this application requires deflation according to a preset rule, which is set by the manufacturer at the time of manufacture.

[0028] Step S2: Inflate each deflated airbag for a preset time period.

[0029] Most smart beds share a single air pump. Therefore, when determining a fault in a smart bed, it's not possible to inflate all airbags simultaneously using the same pump; each airbag needs to be inflated individually. However, to ensure a consistent comparison of all airbags, this application requires each airbag to be inflated at a set time, meaning the inflation duration for each airbag must be uniform. This inflation duration is determined based on a preset duration, which is set at the factory.

[0030] Step S3: Obtain the current air pressure of each airbag after inflation.

[0031] Once the airbags are inflated, the current air pressure of each airbag can be obtained using the air pressure sensor inside the airbag.

[0032] Step S4: Determine the fault type of the smart bed based on the current air pressure of all airbags.

[0033] After all the airbags have been inflated, each airbag has a corresponding current air pressure. The current air pressures of all the airbags can then be compared, and faults in the smart bed can be identified by using these current air pressures. For example, if the current air pressure of some airbags differs from that of the majority of the airbags, it can be roughly determined that those airbags are faulty.

[0034] Currently, relying solely on the current air pressure of all airbags is insufficient to accurately determine the fault type. Therefore, in some embodiments, step S4, "determining the fault type of the smart bed based on the current air pressure of all airbags," includes:

[0035] Step S41: Obtain the preset air pressure for each airbag.

[0036] For smart beds, testing is conducted at the factory. This test involves inflating each airbag for a preset time. After inflation, the measured air pressure of each airbag is obtained, which becomes the preset air pressure. This preset air pressure reflects the status of the airbags, the air pump, and the solenoid valve.

[0037] Step S42: Determine the fault type based on the current air pressure of all airbags and the preset air pressure.

[0038] Therefore, after obtaining the preset air pressure of each airbag, the current air pressure of all airbags can be compared with the preset air pressure, and the fault type can be determined by the comparison result.

[0039] However, there are many airbags, and a lot of data is involved. To simplify the comparison process, in some embodiments, step S42, "determining the fault type based on the current air pressure of all airbags and the preset air pressure," includes:

[0040] Step S421: Determine the inflation completion rate of each airbag based on the current air pressure and the preset air pressure of each airbag.

[0041] Step S422: Determine the fault type based on the inflation completion of all airbags.

[0042] We can compare the current air pressure of each airbag with its preset air pressure to obtain a ratio, which represents the inflation completion rate of each airbag. Then, we can determine the final fault type based on the inflation completion rates of all airbags.

[0043] For smart beds, common malfunctions include: air leakage in a specific airbag or inflation tube; a solenoid valve on a specific airbag failing to open fully or not at all; the inflation tube detaching from the solenoid valve; a completely damaged air pump preventing inflation; a faulty air pump control switch; and decreased inflation efficiency due to worn-out air pumps. In this application, air leakage in a specific airbag or inflation tube, a solenoid valve failing to open fully or not at all, and the inflation tube detaching from the solenoid valve are categorized as airbag malfunctions. These types of malfunctions do not affect the inflation completion of all airbags, but only those airbags with problems. Malfunctions caused by worn-out air pumps leading to decreased inflation efficiency are classified as first-stage air pump malfunctions. In this case, the air pump can inflate the airbags, but the decreased inflation efficiency leads to a lower final inflation completion rate. Malfunctions caused by a completely damaged air pump or a faulty air pump control switch are classified as second-stage air pump malfunctions. When this type of malfunction occurs, all airbags cannot complete the inflation task.

[0044] Therefore, in some embodiments, step S422 "determine the fault type based on the inflation completion of all airbags" includes:

[0045] Step S423: When the inflation completion rate of any airbag is greater than or equal to 1, and the inflation completion rate of any airbag is less than 1 or equal to 0, the fault type is determined to be an airbag fault.

[0046] When the inflation completion rate of an airbag is greater than or equal to 1, the air pump is functioning normally. Therefore, if an airbag has an inflation completion rate less than 1 or equal to 0, it indicates an airbag malfunction in the smart bed. For airbags with an inflation completion rate less than 1 but not equal to 0, there may be a problem with the airbag itself, the inflation tube, or the solenoid valve not opening fully. In this case, if there is an airbag leak, it will be detected when the inflation completion rate is checked again after a period of time, because the leak will cause the second inflation completion rate to be lower than the first when the airbag was fully inflated. For airbags with an inflation completion rate of 0, there may be a problem with the solenoid valve not opening at all or the inflation tube becoming detached.

[0047] In some embodiments, step S422, "determining the fault type based on the inflation completion of all airbags," further includes:

[0048] Step S424: When the inflation completion rate of all airbags is less than 1 and not all of them are 0, obtain the number of airbags with the same inflation completion rate.

[0049] Step S425: Obtain the first preset threshold;

[0050] Step S426: When the number of airbags is greater than or equal to a first preset threshold, the fault type is determined to be a first air pump fault.

[0051] If an air pump aging causes a decrease in inflation efficiency, the airbag can still be inflated, but the air pressure will not reach the preset pressure within the preset time. In this case, most airbags will have an inflation completion rate of less than 1, although some airbags may be faulty. (It's important to note that the inflation completion rate shouldn't be all zero, as a zero rate indicates a second air pump malfunction.) We need to count the number of airbags with equal inflation completion rates. Airbags with equal completion rates are likely not faulty. We then compare this number with a first preset threshold. If the number of airbags with equal completion rates is greater than or equal to the first preset threshold, these airbags are considered fault-free; their inflation completion rates of less than 1 are due to air pump aging, resulting in decreased inflation efficiency, thus confirming a first air pump malfunction. Of course, for airbags with other inflation completion levels, there may be airbag malfunctions.

[0052] In some embodiments, step S422, "determining the fault type based on the inflation completion of all airbags," further includes:

[0053] Step S427: When the inflation completion of all airbags is equal to 0, the fault type is determined to be a second air pump fault.

[0054] When the inflation completion rate of all airbags is 0, it can be determined that there is a problem with the air pump, that is, the air pump is damaged or the air pump control switch is malfunctioning, causing the air pump to be unable to complete the inflation task.

[0055] Therefore, by comparing the current air pressure of each airbag after it has been inflated for a preset time with the preset air pressure at the factory, this application can easily determine the type of fault in the smart bed, thus solving the problem in the prior art where the fault could not be determined because the solenoid valve and airbag could not be disassembled.

[0056] Example 2:

[0057] Based on the foregoing embodiments, this application provides a fault type determination device. The modules and units included in the device can be implemented by a processor in a computer device; of course, they can also be implemented by specific logic circuits. In the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0058] like Figure 2 As shown, a fault type determination device includes: a first execution module 1, a second execution module 2, a first acquisition module 3, and a first determination module 4.

[0059] The first execution module 1 is used to deflate the airbags in the smart bed according to preset rules. The second execution module 2 is used to inflate each deflated airbag for a preset duration. The first acquisition module 3 is used to acquire the current air pressure of each airbag after inflation. The first determination module 4 is used to determine the fault type of the smart bed based on the current air pressure of all airbags.

[0060] In some embodiments, the first determining module 4 includes: a second acquiring module and a second determining module.

[0061] The second acquisition module is used to acquire the preset air pressure of each airbag. The second determination module is used to determine the fault type based on the current air pressure of all airbags and the preset air pressure.

[0062] In some embodiments, the second determining module includes a third execution module and a third determining module.

[0063] The third execution module is used to determine the inflation completion rate of each airbag based on the current air pressure and the preset air pressure of each airbag. The third determination module is used to determine the fault type based on the inflation completion rates of all airbags.

[0064] In some embodiments, the third determining module includes a fourth determining module.

[0065] The fourth determining module is used to determine the fault type as airbag fault when there is an airbag with an inflation completion rate greater than or equal to 1 and at the same time there is an airbag with an inflation completion rate less than 1 or equal to 0.

[0066] In some embodiments, the third determining module further includes a third acquiring module, a fourth acquiring module, and a fifth determining module.

[0067] The third acquisition module is used to acquire the number of airbags with equal inflation completion rates when the inflation completion rate of all airbags is less than 1 and not all of them is 0. The fourth acquisition module is used to acquire a first preset threshold. The fifth determination module is used to determine the fault type as a first air pump fault when the number of airbags is greater than or equal to the first preset threshold.

[0068] In some embodiments, the third determining module further includes a sixth determining module.

[0069] The sixth determining module is used to determine the fault type as a second air pump fault when the inflation completion of all airbags is equal to 0.

[0070] The modules in the aforementioned fault type determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the device in hardware form or independently of it, or stored in the memory of the processing device in software form, so that the processor can call and execute the operations corresponding to each module. It should be noted that the module division in this embodiment is illustrative and only represents a logical functional division; in actual implementation, there may be other division methods.

[0071] Example 3:

[0072] The third aspect provides an electronic device including a storage device and a processor, the storage device storing a computer program, the processor executing the computer program to implement the steps of an amplitude determination method.

[0073] Example 4:

[0074] The fourth aspect provides a storage medium storing a computer program that can be executed by one or more processors, the computer program being able to implement the steps of the method for determining any fault type in the first aspect.

[0075] Example 5:

[0076] Fifthly, this application also proposes a smart bed, including a smart bed body and an electronic device as described in the third aspect, wherein the smart bed body is connected to the electronic device.

[0077] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0078] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of this application, the sequence numbers of the above-described processes do not imply a sequential order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application. The sequence numbers of the above-described embodiments are merely descriptive and do not represent the superiority or inferiority of the embodiments.

[0079] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0080] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0081] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0082] In addition, each functional unit in the various embodiments of this application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0083] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media that can store program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0084] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a controller to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0085] The above description is merely an 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 determining a fault type, characterized in that, include: The airbags in the smart bed are deflated according to preset rules; Each deflated airbag is inflated at a preset time interval. The preset duration is the inflation duration for each airbag determined at the factory. Get the current air pressure of each airbag after it is fully inflated; The fault type of the smart bed is determined based on the current air pressure of all airbags; Determining the fault type of the smart bed based on the current air pressure of all airbags includes: Obtain the preset air pressure for each airbag; The preset air pressure is determined by the smart bed at the factory. The fault type is determined based on the current air pressure of all airbags and the preset air pressure.

2. The method for determining a fault type according to claim 1, characterized in that, Determining the fault type based on the current air pressure of all airbags and the preset air pressure includes: The inflation completion rate of each airbag is determined based on the current air pressure and the preset air pressure of each airbag; The type of failure is determined based on the inflation completion of all airbags.

3. The method for determining a fault type according to claim 2, characterized in that, The fault types include: airbag faults; determining the fault type based on the inflation completion of all airbags includes: When the inflation completion rate of any airbag is greater than or equal to 1, and the inflation completion rate of any other airbag is less than 1 or equal to 0, the fault type is determined to be an airbag fault.

4. The method for determining a fault type according to claim 2, characterized in that, The fault types also include: first air pump failure; determining the fault type based on the inflation completion of all airbags further includes: When the inflation completion rate of all airbags is less than 1 and not all of them are 0, obtain the number of airbags with the same inflation completion rate. Obtain the first preset threshold; When the number of airbags is greater than or equal to a first preset threshold, the fault type is determined to be a first air pump fault.

5. The method for determining a fault type according to claim 2, characterized in that, The fault types include: second air pump failure; determining the fault type based on the inflation completion of all airbags further includes: When the inflation completion rate of all airbags is equal to 0, the fault type is determined to be a second air pump fault.

6. A fault type determination device, characterized in that, include: The first execution module is used to deflate the airbags in the smart bed according to preset rules; The second execution module is used to inflate each airbag that has been deflated for a preset duration. The first acquisition module is used to acquire the current air pressure of each airbag after it has been inflated; The first determining module is used to determine the fault type of the smart bed based on the current air pressure of all airbags; The first determining module includes: a second acquiring module and a second determining module; The second acquisition module is used to acquire the preset air pressure of each airbag; The second determining module is used to determine the fault type based on the current air pressure of all airbags and the preset air pressure.

7. An electronic device, characterized in that, include: A memory and a processor, wherein the memory stores a computer program that, when executed by the processor, performs a method for determining a fault type as described in any one of claims 1 to 5.

8. A storage medium, characterized in that, The computer program stored in the storage medium can be executed by one or more processors, and the computer program can be used to implement the steps of the method for determining a fault type as described in any one of claims 1 to 5.

9. A smart bed, characterized in that, It includes a smart bed body and an electronic device as described in claim 7, wherein the smart bed body is connected to the electronic device.

Images