Method for detecting height difference between intelligent safety belt devices

Abstract

The invention relates to a method for detecting the height difference between intelligent safety belt devices. The method for detecting the height difference between the intelligent safety belt devices comprises the steps that atmospheric pressure data of all preset positions of a safety belt are collected in real time; performing filtering conversion processing on the atmospheric pressure data to obtain a corresponding absolute height value; performing abnormal state judgment according to the absolute height value to obtain a corresponding judgment result; and if the judgment result is that the abnormal state occurs, performing monitoring alarm processing. According to the embodiment of the invention, the use condition of the safety belt can be accurately judged, and the safety, reliability and management efficiency of high-altitude operation are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of high-altitude operation safety, and particularly to a method for detecting the height difference between intelligent safety belt devices. Background Art

[0002] In existing high-altitude operations, safety belts are important equipment to ensure the safety of operators. However, there is currently a lack of effective means to monitor in real time whether the safety belts are being used correctly, such as dangerous situations like "hanging low and working high". Traditional safety belts only have basic protection functions and cannot timely feedback the usage status information of the safety belts to the operators and relevant management personnel. As a result, in some cases, operators may face the risk of falling due to improper use of the safety belts, and it is also difficult for management personnel to grasp the on-site operation situation in real time and cannot intervene and remind in a timely manner. Summary of the Invention

[0003] To solve the above technical problems, the present disclosure provides a method for detecting the height difference between intelligent safety belt devices.

[0004] In a first aspect, the present disclosure provides a method for detecting the height difference between intelligent safety belt devices, including:[[]]

[0005] Collecting atmospheric pressure data at each preset position of the safety belt in real time;

[0006] Performing filtering conversion processing on the atmospheric pressure data to obtain corresponding absolute height values;

[0007] Judging the abnormal state according to the absolute height value to obtain a corresponding judgment result;

[0008] If the judgment result is an abnormal state, performing monitoring and alarm processing.

[0009] In a second aspect, the present disclosure provides a device for detecting the height difference between intelligent safety belt devices, including:[[]]

[0010] A data acquisition module for collecting atmospheric pressure data at each preset position of the safety belt in real time;

[0011] A first processing module for performing filtering conversion processing on the atmospheric pressure data to obtain corresponding absolute height values;

[0012] A second processing module for judging the abnormal state according to the absolute height value to obtain a corresponding judgment result;

[0013] A monitoring and alarm module for performing monitoring and alarm processing if the judgment result is an abnormal state.

[0014] In a third aspect, the present disclosure provides a device for detecting the height difference between intelligent seatbelt devices, including:

[0015] A seatbelt device;

[0016] A processor;

[0017] A memory for storing executable instructions;

[0018] Wherein, the seatbelt device includes a first air pressure sensor, a second air pressure sensor, and a third air pressure sensor. The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the method for detecting the height difference between intelligent seatbelt devices in the first aspect.

[0019] In a fourth aspect, the present disclosure provides a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to implement the method for detecting the height difference between intelligent seatbelt devices in the first aspect.

[0020] The technical solutions provided in the embodiments of the present disclosure have the following advantages compared with the prior art:

[0021] The method for detecting the height difference between intelligent seatbelt devices in the embodiments of the present disclosure can collect the atmospheric pressure data at each preset position of the seatbelt in real time, then perform filtering and conversion processing on the atmospheric pressure data to obtain the corresponding absolute height value, and then judge the abnormal state according to the absolute height value to obtain the corresponding judgment result. Finally, if the judgment result is an abnormal state, monitoring and alarm processing are performed. Thus, by collecting the atmospheric pressure data of the seatbelt in real time, judging the abnormal state, and performing monitoring and alarm processing when an abnormal state is judged, the usage situation of the seatbelt can be accurately judged, and the safety, reliability, and management efficiency of high-altitude operations can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In combination with the accompanying drawings and referring to the following specific embodiments, the above and other features, advantages, and aspects of the embodiments of the present disclosure will become more apparent. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic, and the original components and elements are not necessarily drawn to scale.

[0023] Figure 1 It is a flowchart showing a method for detecting the height difference between intelligent seatbelt devices provided in an embodiment of the present disclosure;

[0024] Figure 2 It is a structural diagram of a seatbelt provided in an embodiment of the present disclosure;

[0025] Figure 3 It is a circuit diagram of a seatbelt provided in an embodiment of the present disclosure;

[0026] Figure 4 A structural schematic diagram of a height difference detection device for intelligent seat belt devices provided by an embodiment of the present disclosure;

[0027] Figure 5 A structural schematic diagram of a height difference detection device for intelligent seat belt devices provided by an embodiment of the present disclosure. Detailed implementation manners

[0028] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Instead, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0029] It should be understood that the various steps described in the method embodiments of the present disclosure can be executed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.

[0030] As used herein, the term "including" and its variants are open-ended, that is, "including but not limited to". The term "based on" is "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0031] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0032] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly stated in the context, it should be understood as "one or more".

[0033] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0034] To solve the above problems, embodiments of the present disclosure provide a method for detecting the height difference between intelligent seat belt devices. The following will be combined with Figures 1 - 3A detailed description is provided for the method for detecting the height difference between intelligent seat belt devices according to the embodiments of the present disclosure.

[0035] Figure 1 The flowchart of a method for detecting the height difference between intelligent seat belt devices according to the embodiments of the present disclosure is shown.

[0036] In the embodiments of the present disclosure, the method for detecting the height difference between intelligent seat belt devices can be executed by an electronic device. Among them, the electronic device can include, but is not limited to, a processor, a microcontroller unit, etc.

[0037] As Figure 1 shown, the method for detecting the height difference between intelligent seat belt devices can include the following steps.

[0038] S110. Real-time collect the atmospheric pressure data at each preset position of the seat belt.

[0039] In the embodiments of the present disclosure, the electronic device can real-time collect the atmospheric pressure data at each preset position of the seat belt.

[0040] Optionally, the preset position can be a position preset on the seat belt.

[0041] Optionally, the atmospheric pressure data can be data representing the atmospheric pressure at a certain position.

[0042] Specifically, during the operation of a high-altitude worker using the seat belt, the electronic device can real-time collect the atmospheric pressure data at each preset position of the seat belt.

[0043] S120. Perform filtering conversion processing on the atmospheric pressure data to obtain the corresponding absolute height value.

[0044] In the embodiments of the present disclosure, the electronic device can perform filtering conversion processing on the atmospheric pressure data to obtain the corresponding absolute height value.

[0045] Optionally, the filtering conversion processing can be processing such as amplifying, filtering, and digitizing the atmospheric pressure data.

[0046] Optionally, the absolute height value refers to the vertical distance from a certain location on the ground to the sea level.

[0047] Specifically, the electronic device can perform filtering conversion processing on the collected atmospheric pressure data, that is, perform processing such as amplifying, filtering, and digitizing the atmospheric pressure data, so as to obtain the absolute height value corresponding to each preset position.

[0048] S130. Perform abnormal state judgment according to the absolute height value to obtain the corresponding judgment result.

[0049] In an embodiment of the present disclosure, the electronic device may determine an abnormal state based on the absolute altitude value to obtain a corresponding determination result.

[0050] Optionally, the abnormal state determination may be to determine whether there is an abnormal state in the seat belt usage method.

[0051] Specifically, after obtaining the absolute altitude value, the electronic device may determine an abnormal state based on the absolute altitude value, that is, determine whether there is an abnormal state in the seat belt usage method based on the absolute altitude value, and obtain a corresponding determination result.

[0052] S140. If the determination result is that an abnormal state occurs, perform monitoring and alarm processing.

[0053] In an embodiment of the present disclosure, if the determination result is that an abnormal state occurs, the electronic device may perform monitoring and alarm processing.

[0054] Specifically, after the electronic device determines whether there is an abnormal state in the seat belt usage method, if the determination result is that an abnormal state occurs, the electronic device may perform monitoring and alarm processing.

[0055] Thus, in an embodiment of the present disclosure, it is possible to collect the atmospheric pressure data at each preset position of the seat belt in real time, then perform filtering and conversion processing on the atmospheric pressure data to obtain a corresponding absolute altitude value, and then determine an abnormal state based on the absolute altitude value to obtain a corresponding determination result. Finally, if the determination result is that an abnormal state occurs, perform monitoring and alarm processing. Thus, through the real-time collected atmospheric pressure data of the seat belt, an abnormal state is determined, and in the case of determining an abnormal state, monitoring and alarm processing are performed, so that the usage situation of the seat belt can be accurately judged, and the safety, reliability, and management efficiency of high-altitude operations can be improved.

[0056] Optionally, each preset position includes the left hook position of the seat belt, the right hook position of the seat belt, and the waist position of the seat belt.

[0057] Figure 2 Fig. shows a schematic structural diagram of a seat belt provided by an embodiment of the present disclosure.

[0058] As Figure 2 shown, the first pressure sensor A is arranged at the left hook position of the seat belt, the second pressure sensor B is arranged at the right hook position of the seat belt, and the third pressure sensor C is arranged at the waist position of the seat belt.

[0059] Optionally, S110 may specifically include: acquiring first atmospheric pressure data at the left hook position of the seat belt in real time through a first pressure sensor; acquiring second atmospheric pressure data at the right hook position of the seat belt in real time through a second pressure sensor; acquiring third atmospheric pressure data at the waist position of the seat belt in real time through a third pressure sensor.

[0060] In an embodiment of the present disclosure, the electronic device may acquire first atmospheric pressure data at the left hook position of the seat belt in real time through a first pressure sensor.

[0061] Specifically, the first pressure sensor may be a pressure sensor arranged at the left hook position of the seat belt, and the electronic device may acquire first atmospheric pressure data at the left hook position of the seat belt in real time through the first pressure sensor.

[0062] Further, the electronic device may acquire second atmospheric pressure data at the right hook position of the seat belt in real time through a second pressure sensor.

[0063] Specifically, the second pressure sensor may be a pressure sensor arranged at the right hook position of the seat belt, and the electronic device may acquire second atmospheric pressure data at the right hook position of the seat belt in real time through the second pressure sensor.

[0064] Further, the electronic device may acquire third atmospheric pressure data at the waist position of the seat belt in real time through a third pressure sensor.

[0065] Specifically, the third pressure sensor may be a pressure sensor arranged at the waist position of the seat belt, and the electronic device may acquire third atmospheric pressure data at the waist position of the seat belt in real time through the third pressure sensor.

[0066] Figure 3 Shows a circuit schematic diagram of a seat belt provided by an embodiment of the present disclosure.

[0067] As Figure 3 Shown, the first pressure sensor A is arranged at the left hook position 1 of the seat belt, for acquiring first atmospheric pressure data at the left hook position 1 of the seat belt and transmitting the first atmospheric pressure data to the microcontroller unit (MCU1); the second pressure sensor B is arranged at the right hook position 2 of the seat belt, for acquiring second atmospheric pressure data at the right hook position 2 of the seat belt and transmitting the second atmospheric pressure data to MCU2; the third pressure sensor C is arranged at the waist position 3 of the seat belt, for acquiring third atmospheric pressure data at the waist position 3 of the seat belt and transmitting the third atmospheric pressure data to MCU3.

[0068] Among them, MCU1 is connected to the first barometric pressure sensor A, receives the first atmospheric pressure data Ha measured by the first barometric pressure sensor A, and transmits it to MCU3; MCU2 is connected to the second barometric pressure sensor B, receives the second atmospheric pressure data Hb measured by the second barometric pressure sensor B, and transmits it to MCU3; MCU3 is connected to the third barometric pressure sensor C, receives the third atmospheric pressure data Hc corresponding to its own height measured by the third barometric pressure sensor C, and simultaneously receives Ha from MCU1 and Hb from MCU2.

[0069] Optionally, S120 may specifically include: based on the preset relationship between atmospheric pressure and altitude, performing filtering and conversion processing on the first atmospheric pressure data, the second atmospheric pressure data, and the third atmospheric pressure data to obtain corresponding first absolute altitude value, second absolute altitude value, and third absolute altitude value.

[0070] In the embodiments of the present disclosure, the electronic device may perform filtering and conversion processing on the first atmospheric pressure data, the second atmospheric pressure data, and the third atmospheric pressure data based on the preset relationship between atmospheric pressure and altitude to obtain corresponding first absolute altitude value, second absolute altitude value, and third absolute altitude value.

[0071] Specifically, the electronic device respectively collects the first atmospheric pressure data Ha, the second atmospheric pressure data Hb, and the third atmospheric pressure data Hc through MCU1, MCU2, and MCU3, and then performs filtering and conversion processing on the first atmospheric pressure data Ha, the second atmospheric pressure data Hb, and the third atmospheric pressure data Hc. For example, MCU1 transmits the collected first atmospheric pressure data Ha to MCU3, MCU2 transmits the collected second atmospheric pressure data Hb to MCU3, MCU3 receives the data from MCU1 and MCU2, and simultaneously collects the third atmospheric pressure data Hc. MCU3 performs processing such as amplification, filtering, and digitization to obtain corresponding first absolute altitude value, second absolute altitude value, and third absolute altitude value.

[0072] Optionally, S130 may specifically include: performing an abnormal state judgment on the first absolute altitude value, the second absolute altitude value, and the third absolute altitude value; if any one of the first absolute altitude value or the second absolute altitude value is less than the third absolute altitude value, determining that the judgment result is an abnormal state; otherwise, determining that the judgment result is a non-abnormal state.

[0073] In the embodiments of the present disclosure, the electronic device may perform an abnormal state judgment on the first absolute altitude value, the second absolute altitude value, and the third absolute altitude value.

[0074] Specifically, the electronic device can perform an abnormal state judgment on the first absolute height value, the second absolute height value, and the third absolute height value. For example, it can perform real-time processing and comparison on the first absolute height value, the second absolute height value, and the third absolute height value, and judge whether the first absolute height value and the second absolute height value are less than the third absolute height value.

[0075] Further, if any one of the first absolute height value or the second absolute height value is less than the third absolute height value, the electronic device can determine that the judgment result is an abnormal state. For example, if the first absolute height value is less than the third absolute height value, or the second absolute height value is less than the third absolute height value, or both the first absolute height value and the second absolute height value are less than the third absolute height value, it can be determined that the judgment result is an abnormal state.

[0076] Further, otherwise, the electronic device can determine that the judgment result is a non-abnormal state.

[0077] Optionally, S140 may specifically include: if the judgment result is an abnormal state, giving a sound warning through a local audio device and giving a light warning through a lighting device.

[0078] In the embodiments of the present disclosure, if the judgment result is an abnormal state, the electronic device can give a sound warning through a local audio device and give a light warning through a lighting device. For example, giving a sound warning through a local audio device and giving a light warning through a lighting device to remind the operator that the seat belt is not used properly and the operation process needs to be adjusted immediately to ensure safety.

[0079] Optionally, the method for detecting the height difference between intelligent seat belt devices may further include: sending the atmospheric pressure data and the judgment result to a remote server for real-time detection by the remote server.

[0080] In the embodiments of the present disclosure, the electronic device can send the atmospheric pressure data and the judgment result to a remote server for real-time detection by the remote server. For example, MCU3 can also transmit the on-site working status (including the values of Ha, Hb, Hc and information such as whether a warning is triggered) to the remote server through the network. The remote server can monitor the seat belt usage status of multiple sites in real time, which is convenient for management personnel to conduct unified management and supervision, and promptly discover potential safety risks and take corresponding measures.

[0081] Figure 4 The structural schematic diagram of a device for detecting the height difference between intelligent seat belt devices provided by the embodiments of the present disclosure is shown.

[0082] As Figure 4As shown in the figure, the height difference detection device 400 for intelligent seat belt devices may include a data acquisition module 410, a first processing module 420, a second processing module 430, and a monitoring and alarm module 440.

[0083] The data acquisition module 410 may be configured to collect atmospheric pressure data at each preset position of the seat belt in real time.

[0084] The first processing module 420 may be configured to perform filtering and conversion processing on the atmospheric pressure data to obtain corresponding absolute height values.

[0085] The second processing module 430 may be configured to determine an abnormal state based on the absolute height value to obtain a corresponding determination result.

[0086] The monitoring and alarm module 440 may be configured to perform monitoring and alarm processing if the determination result indicates an abnormal state.

[0087] Thus, in the embodiments of the present disclosure, it is possible to collect atmospheric pressure data at each preset position of the seat belt in real time, then perform filtering and conversion processing on the atmospheric pressure data to obtain corresponding absolute height values, and then determine an abnormal state based on the absolute height value to obtain a corresponding determination result. Finally, if the determination result indicates an abnormal state, monitoring and alarm processing is performed. Thus, by collecting real-time atmospheric pressure data of the seat belt, an abnormal state is determined, and in the case of an abnormal state being determined, monitoring and alarm processing is performed, so that the usage situation of the seat belt can be accurately judged, and the safety, reliability, and management efficiency of high-altitude operations can be improved.

[0088] In some embodiments of the present disclosure, the preset positions include the left hook position of the seat belt, the right hook position of the seat belt, and the waist position of the seat belt.

[0089] In some embodiments of the present disclosure, the data acquisition module 410 may specifically include a first acquisition unit, a second acquisition unit, and a third acquisition unit.

[0090] The first acquisition unit may be configured to collect first atmospheric pressure data at the left hook position of the seat belt in real time through a first pressure sensor.

[0091] The second acquisition unit may be configured to collect second atmospheric pressure data at the right hook position of the seat belt in real time through a second pressure sensor.

[0092] The third acquisition unit may be configured to collect third atmospheric pressure data at the waist position of the seat belt in real time through a third pressure sensor.

[0093] In some embodiments of the present disclosure, the first processing module 420 may be specifically configured to perform filtering and conversion processing on the first atmospheric pressure data, the second atmospheric pressure data, and the third atmospheric pressure data based on a preset relationship between atmospheric pressure and altitude to obtain corresponding first absolute altitude values, second absolute altitude values, and third absolute altitude values.

[0094] In some embodiments of the present disclosure, the second processing module 430 may specifically include a first judgment unit, a second judgment unit, and a third judgment unit.

[0095] The first judgment unit may be configured to perform an abnormal state judgment on the first absolute altitude value, the second absolute altitude value, and the third absolute altitude value.

[0096] The second judgment unit may be configured to determine that the judgment result is an abnormal state if any one of the first absolute altitude value or the second absolute altitude value is less than the third absolute altitude value.

[0097] The third judgment unit may be configured to otherwise determine that the judgment result is no abnormal state.

[0098] In some embodiments of the present disclosure, the monitoring and alarming module 440 may be specifically configured to, if the judgment result is an abnormal state, give a sound warning through a local audio device and give a light warning through a lighting device.

[0099] In some embodiments of the present disclosure, the height difference detection device 400 for intelligent seat belt devices may be configured to send the atmospheric pressure data and the judgment result to a remote server so that the remote server can perform real-time detection.

[0100] It should be noted that Figure 4 the shown height difference detection device 400 for intelligent seat belt devices can execute Figures 1 - 3 each step in the method embodiments shown and achieve Figures 1 - 3 each process and effect in the method embodiments shown, which will not be elaborated here.

[0101] Figure 5 FIG. shows a schematic structural diagram of a height difference detection device for intelligent seat belt devices provided by an embodiment of the present disclosure.

[0102] In some embodiments of the present disclosure, Figure 5 the shown height difference detection device for intelligent seat belt devices may be an electronic device. Specifically, the electronic device may include, but is not limited to, a processor, a microcontroller unit, etc.

[0103] Such as Figure 5As shown, the device for detecting the height difference between intelligent seat belt devices may include a seat belt device, a processor 501, and a memory 502 storing computer program instructions.

[0104] Specifically, the seat belt device includes a first air pressure sensor, a second air pressure sensor, and a third air pressure sensor. The device is built-in with a rechargeable battery, and the charging and discharging are controlled by a power management unit to ensure stable power supply for the sensors and the control unit. The above-mentioned processor 501 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured as one or more integrated circuits implementing the embodiments of the present application.

[0105] The memory 502 may include a mass storage for information or instructions. By way of example and not limitation, the memory 502 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disc, a magneto-optical disc, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In a suitable case, the memory 502 may include a removable or non-removable (or fixed) medium. In a suitable case, the memory 502 may be inside or outside the integrated gateway device. In a specific embodiment, the memory 502 is a non-volatile solid-state memory. In a specific embodiment, the memory 502 includes a read-only memory (ROM). In a suitable case, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM), or a flash memory, or a combination of two or more of these.

[0106] The processor 501 reads and executes the computer program instructions stored in the memory 502 to perform the steps of the method for detecting the height difference between intelligent seat belt devices provided by the embodiments of the present disclosure.

[0107] In one example, the device for detecting the height difference between intelligent seat belt devices may further include a transceiver 503 and a bus 504. Among them, as Figure 5 shown, the processor 501, the memory 502, and the transceiver 503 are connected through the bus 504 and complete communication with each other.

[0108] The bus 504 includes hardware, software, or both. By way of example and not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side BUS (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, the bus 504 may include one or more buses. Although embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0109] Embodiments of the present disclosure also provide a computer-readable storage medium that may store a computer program, which when executed by a processor, causes the processor to implement the method for detecting the height difference between intelligent seat belt devices provided by embodiments of the present disclosure.

[0110] The above storage medium may include, for example, a memory 502 storing computer program instructions, and the above instructions may be executed by a processor 501 of a device for detecting the height difference between intelligent seat belt devices to complete the method for detecting the height difference between intelligent seat belt devices provided by embodiments of the present disclosure. Optionally, the storage medium may be a non-transitory computer-readable storage medium. For example, the non-transitory computer-readable storage medium may be a ROM, a Random Access Memory (RAM), a Compact Disc ROM (CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0111] It should be noted that in this document, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article, or device that comprises a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or device.

[0112] The above are only specific embodiments of the present disclosure, enabling those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but rather will conform to the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for detecting height differences between smart seat belt devices, characterized in that: include: Real-time collection of atmospheric pressure data at each preset position of the seat belt; Performing filtering and conversion processing on the atmospheric pressure data to obtain a corresponding absolute altitude value; Perform abnormal state judgment according to the absolute height value to obtain a corresponding judgment result; If the judgment result is that an abnormal state occurs, monitoring and alarm processing are performed.

2. The method according to claim 1, characterized in that The preset positions include a left hook position of the safety belt, a right hook position of the safety belt, and a waist position of the safety belt.

3. The method according to claim 2, characterized in that The real-time collection of atmospheric pressure data at each preset position of the seat belt includes: The first atmospheric pressure data of the left hook position of the safety belt is collected in real time through the first atmospheric pressure sensor; The second atmospheric pressure data of the right hook position of the safety belt is collected in real time by the second atmospheric pressure sensor; The third atmospheric pressure data at the waist position of the safety belt is collected in real time through the third atmospheric pressure sensor.

4. The method according to claim 3, characterized in that: The filtering and converting process is performed on the atmospheric pressure data to obtain a corresponding absolute altitude value, including: Based on a preset relationship between atmospheric pressure and altitude, the first atmospheric pressure data, the second atmospheric pressure data and the third atmospheric pressure data are filtered and converted to obtain corresponding first absolute altitude values, second absolute altitude values ​​and third absolute altitude values.

5. The method according to claim 4, characterized in that The abnormal state judgment is performed according to the absolute height value to obtain a corresponding judgment result, including: Performing abnormal state judgment on the first absolute height value, the second absolute height value, and the third absolute height value; If either the first absolute height value or the second absolute height value is smaller than the third absolute height value, determining that the judgment result is that an abnormal state occurs; Otherwise, it is determined that the judgment result is that no abnormal state occurs.

6. The method according to claim 1, characterized in that If the judgment result is that an abnormal state occurs, monitoring and alarm processing are performed, including: If the judgment result is that an abnormal state occurs, a sound warning is given through a local audio device, and a light warning is given through a lighting device.

7. The method according to claim 1, characterized in that The method further comprises: The atmospheric pressure data and the judgment result are sent to a remote server so that the remote server can perform real-time detection.

8. A device for detecting height differences between intelligent seat belt devices, characterized in that: include: A data acquisition module is used to collect atmospheric pressure data at each preset position of the seat belt in real time; A first processing module is used to perform filtering and conversion processing on the atmospheric pressure data to obtain a corresponding absolute altitude value; A second processing module is used to judge the abnormal state according to the absolute height value and obtain a corresponding judgment result; The monitoring and alarm module is used to perform monitoring and alarm processing if the judgment result is that an abnormal state occurs.

9. A device for detecting height differences between intelligent seat belt devices, characterized in that: include: Seat belt system; processor; A memory for storing executable instructions; Wherein, the seat belt device includes a first air pressure sensor, a second air pressure sensor and a third air pressure sensor, and the processor is used to read the executable instructions from the memory and execute the executable instructions to implement the height difference detection method between smart seat belt devices described in any one of claims 1-7 above.

10. A non-volatile computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the processor implements the method for detecting height differences between smart seat belt devices according to any one of claims 1 to 7.

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