Intelligent control method and device, computer device and intelligent seat

Abstract

The application relates to an intelligent control method and device, computer equipment and an intelligent seat. The intelligent control method comprises the following steps: acquiring state data of the intelligent seat under pressure, and determining a character type of a pressure object according to the state data; when the character type is a user type, acquiring a continuous pressure time of the intelligent seat; if the continuous pressure time is greater than a preset sitting time, generating a sitting reminder signal, and the sitting reminder signal is used for reminding the user of a sitting state. Therefore, under the condition that the intelligent seat is pressed, character recognition and distinction of the pressure object are realized, the accuracy of intelligent seat sitting monitoring and reminding is ensured, and the interaction efficiency is effectively improved.

Description

Technical Field

[0001] This application relates to the field of smart homes, and in particular to a smart control method, device, computer equipment, and smart chair. Background Technology

[0002] With the continuous development of smart home technology, smart homes offer a wide variety of functions, greatly expanding their application scenarios and improving the convenience of people's lives and work. Smart chairs, as one of the most commonly used smart home devices, feature media expansion capabilities and comfort adjustment functions.

[0003] To prevent users from experiencing health problems due to prolonged sitting, existing smart chairs use pressure sensors on the seat to monitor the duration of continuous pressure. When the duration of continuous pressure exceeds a preset sedentary reminder time, the chair reminds users to move around and rest. However, smart chairs may misjudge prolonged sitting situations caused by objects applying continuous pressure. Summary of the Invention

[0004] Therefore, it is necessary to provide an intelligent control method, device, computer equipment, and intelligent seat to address the aforementioned technical problems.

[0005] A smart control method is applied to a smart seat, the smart control method comprising:

[0006] Acquire the state data of the smart seat after it is pressed, and determine the type of person to whom the pressure is applied based on the state data;

[0007] When the person type is user, obtain the continuous pressure time of the smart seat;

[0008] If the continuous pressure time exceeds the preset sitting time, a sitting reminder signal is generated to alert the user that they are in a prolonged sitting state.

[0009] In one embodiment, the state data includes pressure data and temperature data. The step of acquiring the state data of the smart seat after it has been compressed, and determining the type of person applying the pressure based on the state data, includes:

[0010] Acquire the pressure and temperature data of the smart seat after it is compressed;

[0011] When both the pressure data and the temperature data are within the preset physiological parameter range, the person type is determined to be the user type.

[0012] In one embodiment, acquiring the state data of the smart seat after being compressed and determining the type of person applying pressure based on the state data further includes: when both the pressure data and temperature data are not within a preset physiological parameter range, determining that the person type is a non-user type; the intelligent control method further includes:

[0013] When the character type is not a user type, generate a mode switching instruction;

[0014] According to the mode switching command, the smart seat is switched from the sedentary reminder mode to the cargo mode, where the sedentary reminder mode is the default mode.

[0015] In one embodiment, the state data includes pressure data, temperature data, and impedance data; the intelligent control method further includes:

[0016] When either the pressure data or the temperature data is outside the preset physiological parameter range, impedance data is acquired.

[0017] The character type is determined based on the impedance data.

[0018] In one embodiment, the step of determining the person type based on the impedance data includes:

[0019] When the impedance data is within a preset physiological parameter range, the person type is determined to be the user type;

[0020] When the impedance data is not within the preset physiological parameter range, the character type is determined to be a non-user type.

[0021] In one embodiment, the status data includes pressure data and temperature data; the intelligent control method further includes:

[0022] When the pressure data is not within the preset physiological parameter range, but the temperature data is within the preset physiological parameter range, historical data information corresponding to the pressure data is obtained;

[0023] Based on the historical data, the person type is determined to be the user type.

[0024] In one embodiment, the step of determining the person type as the user type based on the historical data information includes:

[0025] Parameter variation models for analyzing historical data;

[0026] Based on the parameter change model, the expected adjustment value corresponding to the pressure data is generated;

[0027] When the sum of the pressure data and the expected adjustment value is within a preset physiological parameter range, the person type is determined to be a user type;

[0028] When the sum of the pressure data and the expected adjustment value is not within the preset physiological parameter range, the person type is determined to be a non-user type.

[0029] A smart control device is applied to a smart seat, the smart control device comprising:

[0030] The person type determination module is used to acquire the state data of the smart seat after it is pressed, and determine the person type of the person applying the pressure based on the state data;

[0031] The pressure time acquisition module is connected to the person type determination module and is used to acquire the continuous pressure time of the smart seat when the person type is a user type.

[0032] The sedentary reminder module is connected to the pressure time acquisition module. If the continuous pressure time is greater than the preset sedentary time, a sedentary reminder signal is generated to remind the user that they are in a sedentary state.

[0033] A smart seat, comprising:

[0034] The chair seat is equipped with a pressure sensor and a clock sensor. The pressure sensor is used to acquire the status data, and the clock sensor is used to acquire the continuous pressure time.

[0035] The handrail support is equipped with an infrared temperature sensor, which is used to acquire the status data.

[0036] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the method described above.

[0037] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.

[0038] A computer program product includes a computer program that, when executed by a processor, implements the steps of the method described above.

[0039] The aforementioned intelligent control method, device, computer equipment, and intelligent seat include an intelligent control method comprising: acquiring state data of the intelligent seat after it is subjected to pressure, and determining the type of person applying pressure based on the state data; when the person type is a user, acquiring the duration of pressure application on the intelligent seat; if the duration of pressure application exceeds a preset prolonged sitting time, generating a prolonged sitting reminder signal to alert the user that they are in a prolonged sitting state. This allows for the identification and differentiation of the person applying pressure when the intelligent seat is subjected to pressure, thereby ensuring the accuracy of the intelligent seat's prolonged sitting monitoring and reminders, and effectively improving interaction efficiency. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating an intelligent control method in one embodiment;

[0042] Figure 2 This is a schematic diagram of the specific process of step 102 in one embodiment;

[0043] Figure 3 This is a flowchart illustrating an intelligent control method in one embodiment;

[0044] Figure 4 This is a flowchart illustrating an intelligent control method in one embodiment;

[0045] Figure 5 This is a flowchart illustrating an intelligent control method in one embodiment;

[0046] Figure 6 This is a schematic block diagram of the structure of an intelligent control device in one embodiment;

[0047] Figure 7 A schematic block diagram of the specific structure of the character type determination module 620 in one embodiment;

[0048] Figure 8 This is a schematic block diagram of the structure of an intelligent control device in one embodiment;

[0049] Figure 9 This is a schematic block diagram of the structure of an intelligent control device in one embodiment;

[0050] Figure 10 This is a schematic block diagram of the structure of an intelligent control device in one embodiment. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0052] See Figure 1 This is a flowchart illustrating an intelligent control method in one embodiment.

[0053] In this embodiment, the intelligent control method is applied to an intelligent seat, such as... Figure 1 As shown, the intelligent control method includes steps 102 to 106.

[0054] Step 102: Obtain the status data of the smart seat after it is pressed, and determine the type of person who is being pressed based on the status data.

[0055] The status data can be sampling data of the smart seat after it has been compressed; optionally, the status data includes pressure data and temperature data. The object applying pressure can be a person or object that applies pressure to the smart seat; optionally, the object applying pressure can be a person or object that continuously applies force along the vertical direction of the smart seat for a preset time.

[0056] The method to obtain the state data of a smart seat after it is subjected to pressure can be to obtain pressure data through a pressure sensor installed on the smart seat seat, or to obtain temperature data through an infrared temperature sensor installed on the armrest bracket of the smart seat.

[0057] The pressure data can be the pressure sampled value applied to the vertical direction of the smart seat within a preset sampling period; the temperature data can be the temperature sampled value of the area above the armrest support of the smart seat within a preset sampling period. Optionally, the preset sampling period can be 10 seconds.

[0058] Step 104: When the person type is user, obtain the continuous pressure time of the smart seat.

[0059] Character type can distinguish whether the pressure target is a person or an object. Optionally, when the pressure target is a person, the character type is a user type; when the pressure target is an object, the character type is a non-user type.

[0060] The duration of continuous pressure application refers to the length of time the smart chair seat experiences a sustained vertical force after the user sits down. This duration can be determined by a clock sensor mounted on the smart chair seat. Optionally, when the person being applied to the chair is a user (i.e., a person is applying pressure), the smart chair is controlled to acquire the duration of continuous pressure application.

[0061] Step 106: If the continuous pressure time is greater than the preset sitting time, a sitting reminder signal is generated. The sitting reminder signal is used to remind the user that they are in a sitting state for a long time.

[0062] The preset sitting time can be the maximum duration for which a user is allowed to sit in the smart seat at one time; a prolonged sitting state can be a period during which the user sits in the smart seat for a duration exceeding the preset sitting time; and a prolonged sitting reminder signal can be a signal that alerts the user to being in a prolonged sitting state. Optionally, the prolonged sitting reminder signal can be at least one of the following: a voice reminder signal, a light reminder signal, and a vibration reminder signal.

[0063] Optionally, when the smart chair seat is subjected to pressure from an object, pressure data is obtained through a pressure sensor installed on the smart chair seat, and temperature data is obtained through an infrared temperature sensor installed on the smart chair armrest bracket. Based on the pressure and temperature data, the type of object being pressured—whether it is a person or an object—is determined. When the person type is a user, i.e., the object being pressured is a person, a clock sensor installed on the smart chair seat detects the duration for which the smart chair seat is continuously subjected to force in the vertical direction after the user sits down. If the duration for which the smart chair seat is continuously subjected to force in the vertical direction exceeds the maximum allowed duration for a single user sitting on the smart chair, at least one of the following three signals—voice alert, light alert, and vibration alert—is generated to remind the user that they have been sitting for an extended period. This allows for the identification and differentiation of the object being pressured when the smart chair is under pressure, thereby ensuring the accuracy of the smart chair's monitoring and reminders for prolonged sitting and effectively improving interaction efficiency.

[0064] See Figure 2 This is a schematic diagram of the specific process of step 102 in one embodiment.

[0065] In this embodiment, step 102 includes sub-steps 202 to 206.

[0066] Step 202: Obtain pressure and temperature data of the smart seat after it is compressed.

[0067] In step 204, when both the pressure and temperature data are within the preset physiological parameter range, the person type is determined to be the user type.

[0068] Step 206: When both pressure and temperature data are outside the preset physiological parameter range, determine the person type as a non-user type.

[0069] The preset physiological parameter range refers to the permissible range of physiological parameter changes after a user sits in the smart chair. When both pressure and temperature data are within the preset physiological parameter range, the person is identified as a user; when neither pressure nor temperature data is within the preset physiological parameter range, the person is identified as a non-user.

[0070] Optionally, when the smart seat is subjected to pressure from an object, pressure data is obtained through a pressure sensor installed on the smart seat, and temperature data is obtained through an infrared temperature sensor installed on the armrest bracket. Based on the pressure and temperature data, a person identification process is performed to determine whether both the pressure and temperature data are within a preset physiological parameter range. If both the pressure and temperature data are within the permissible range of physiological parameter changes after a user sits on the smart seat, the person type is determined to be a user; if neither the pressure nor temperature data is within the permissible range, the person type is determined to be a non-user. The person identification process can be performed by analyzing and identifying the pressure and temperature data using a person recognition algorithm. This allows for accurate person identification and differentiation when the smart seat is subjected to pressure.

[0071] See Figure 3 This is a flowchart illustrating an intelligent control method in one embodiment.

[0072] In this embodiment, as Figure 3 As shown, the intelligent control method further includes steps 302 to 304.

[0073] Step 302: When the character type is not user type, generate a mode switching instruction.

[0074] The mode switching command can be a command to control the smart seat to switch working modes; optionally, the mode switching command includes a first mode switching command and a second mode switching command; the first mode switching command can be a command to control the smart seat to switch from a sedentary reminder mode to a cargo mode; the second mode switching command can be a command to control the smart seat to switch from a cargo mode to a sedentary reminder mode.

[0075] Step 304: According to the mode switching command, switch the smart seat from sedentary reminder mode to cargo mode. Sedentary reminder mode is the default mode.

[0076] The sedentary reminder mode generates a sedentary reminder signal based on the duration of continuous pressure on the smart seat when the pressure is applied to a person. The object-carrying mode does not acquire the duration of continuous pressure on the smart seat when the pressure is applied to an object. The default mode is the operating mode when the smart seat is not subjected to pressure from an object.

[0077] Optionally, when the smart seat is subjected to pressure from an object, pressure data is obtained through a pressure sensor installed on the smart seat, and temperature data is obtained through an infrared temperature sensor installed on the armrest bracket. Based on the pressure and temperature data, a person / object identification process is performed to determine whether both the pressure and temperature data are within a preset physiological parameter range. If neither the pressure nor the temperature data is within the permissible range of physiological parameter changes after a user sits on the smart seat, the person / object type is determined to be non-user. When the object is determined to be an object, a first mode switching command is generated, and the smart seat is controlled to switch from the default sedentary reminder mode to the carrying mode according to the first mode switching command. This eliminates the need for a clock sensor to obtain the continuous pressure duration of the smart seat, reduces the ineffective working time of the clock sensor, and improves the energy efficiency ratio of the smart seat.

[0078] See Figure 4 This is a flowchart illustrating an intelligent control method in one embodiment.

[0079] In this embodiment, the state data includes pressure data, temperature data, and impedance data; such as Figure 4 As shown, the intelligent control method further includes steps 402 to 404.

[0080] Step 402: When either the pressure data or the temperature data is not within the preset physiological parameter range, acquire the impedance data.

[0081] Step 404: Determine the character type based on the impedance data.

[0082] Impedance data can be the impedance data of the pressure object within a preset sampling period; the method of obtaining impedance data can be through the electrode plates and impedance detection chip set on the smart chair seat.

[0083] The method for determining the type of person based on impedance data includes: when the impedance data is within the preset physiological parameter range, the person type is determined to be a user type; when the impedance data is not within the preset physiological parameter range, the person type is determined to be a non-user type.

[0084] It should be noted that the user's impedance data corresponds one-to-one with the user's heart rate data. When the user's impedance data is within the preset physiological parameter range, the user's heart rate data is also within the preset physiological range.

[0085] The scenario where the impedance data is within the preset physiological parameter range can be defined as the impedance data falling within the permissible range of impedance parameter variation after the user sits in the smart seat. The scenario where the impedance data is not within the preset physiological parameter range can be defined as the impedance data not falling within the permissible range of impedance parameter variation after the user sits in the smart seat.

[0086] Optionally, when the smart chair seat is subjected to pressure from an object, pressure data is obtained through a pressure sensor installed on the smart chair seat, and temperature data is obtained through an infrared temperature sensor installed on the smart chair armrest bracket. When either the pressure data or the temperature data is outside the preset physiological parameter range, the impedance data of the object applying pressure is detected within a preset sampling period using electrode plates and an impedance detection chip installed on the smart chair seat. If the impedance data is within the permissible impedance parameter variation range after the user sits on the smart chair, the person type is determined to be a user; if the impedance data is outside the permissible impedance parameter variation range after the user sits on the smart chair, the person type is determined to be a non-user. This allows for accurate identification and differentiation of the person applying pressure even when either the pressure data or the temperature data is outside the preset physiological parameter range, thereby ensuring the accuracy of the smart chair's prolonged sitting monitoring and reminders, and effectively improving interaction efficiency.

[0087] See Figure 5 This is a flowchart illustrating an intelligent control method in one embodiment.

[0088] In this embodiment, as Figure 5 As shown, the intelligent control method further includes steps 502 to 504.

[0089] Step 502: When the pressure data is not within the preset physiological parameter range, but the temperature data is within the preset physiological parameter range, obtain the historical data information corresponding to the pressure data.

[0090] Step 504: Based on historical data, determine the person type as user type.

[0091] The historical data information corresponding to the stress data can be the stress data corresponding to the situation where the stressor is a person in the historical data.

[0092] The method for determining the user type based on historical data includes: analyzing the parameter change model of historical data; generating the expected regulation value corresponding to the stress data based on the parameter change model; determining the user type as user when the sum of the stress data and the expected regulation value is within the preset physiological parameter range; and determining the user type as non-user when the sum of the stress data and the expected regulation value is not within the preset physiological parameter range.

[0093] Among them, the parameter change model can be the change rule of the pressure data corresponding to the case where the pressure object is a person in the historical data; the expected adjustment value corresponding to the pressure data can be the predicted value of the change in pressure data based on the change rule of the pressure data corresponding to the case where the pressure object is a person in the historical data.

[0094] It should be noted that the expected adjustment value corresponding to the pressure data can be positive or negative; when the pressure data changes in a gradually increasing trend, the expected adjustment value is positive; when the pressure data changes in a gradually decreasing trend, the expected adjustment value is negative.

[0095] Optionally, when the smart chair seat is subjected to pressure from an object, pressure data is obtained through a pressure sensor installed on the smart chair seat, and temperature data is obtained through an infrared temperature sensor installed on the smart chair armrest bracket. When the pressure data is outside the preset physiological parameter range, but the temperature data is within the preset parameter range, the pressure data corresponding to the case where the object of pressure is a human is obtained from the smart chair's historical data. The variation rules of the pressure data corresponding to the case where the object of pressure is a human in the historical data are analyzed; based on the variation rules of the pressure data corresponding to the case where the object of pressure is a human in the historical data, a predicted value of the pressure data variation is made; when the sum of the pressure data and the predicted value of the pressure data variation is within the preset physiological parameter range, the person type is determined to be a user type; when the sum of the pressure data and the predicted value of the pressure data variation is not within the preset physiological parameter range, the person type is determined to be a non-user type. Thus, when the pressure data is outside the preset physiological parameter range, but the temperature data is within the preset parameter range, accurate identification and differentiation of the object of pressure is achieved, thereby ensuring the accuracy of the smart chair's prolonged sitting monitoring and reminders, and further improving interaction efficiency.

[0096] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0097] Based on the same concept, this application also provides an intelligent control device for implementing the intelligent control method described above. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more intelligent control device embodiments provided below can be found in the limitations of the intelligent control method described above, and will not be repeated here.

[0098] See Figure 6 This is a schematic block diagram of the structure of an intelligent control device in one embodiment.

[0099] In this embodiment, the intelligent control device is applied to an intelligent seat, such as... Figure 6 As shown, the intelligent control device includes a person type determination module 620, a pressure time acquisition module 640, and a sedentary reminder module 660.

[0100] The person type determination module 620 is used to acquire the state data of the smart seat after it is pressed, and to determine the person type of the person applying the pressure based on the state data.

[0101] The pressure time acquisition module 640 is connected to the person type determination module 620 and is used to acquire the continuous pressure time of the smart seat when the person type is user type.

[0102] The sedentary reminder module 660 is connected to the pressure time acquisition module 640. It is used to generate a sedentary reminder signal if the continuous pressure time is greater than the preset sedentary time. The sedentary reminder signal is used to remind the user that they are in a sedentary state.

[0103] In this embodiment, each module is used to execute Figure 1 For details of each step in the corresponding embodiment, please refer to the documentation. Figure 1 as well as Figure 1 The relevant descriptions in the corresponding embodiments will not be repeated here.

[0104] The intelligent control device provided in this embodiment acquires the state data of the intelligent seat after it is subjected to pressure through a person type determination module 620, and determines the person type of the pressure object based on the state data. A pressure time acquisition module 640, connected to the person type determination module 620, acquires the continuous pressure time of the intelligent seat when the person type is a user. A sedentary reminder module 660, connected to the pressure time acquisition module 640, generates a sedentary reminder signal if the continuous pressure time exceeds a preset sedentary time. The sedentary reminder signal is used to remind the user that they are in a sedentary state. Thus, when the intelligent seat is subjected to pressure, the device can identify and distinguish the person subjected to pressure, thereby ensuring the accuracy of the intelligent seat's sedentary monitoring and reminders, and effectively improving interaction efficiency.

[0105] See Figure 7 This is a schematic block diagram of the specific structure of the character type determination module 620 in one embodiment.

[0106] In this embodiment, as Figure 7 As shown, the character type determination module 620 includes a data acquisition unit 720, a user type determination unit 740, and a non-user type determination unit 760.

[0107] The data acquisition unit 720 is used to acquire pressure data and temperature data of the smart seat after it is compressed.

[0108] The user type determination unit 740 is connected to the data acquisition unit 720 and is used to determine the person type as user type when both the pressure data and temperature data are within the preset physiological parameter range.

[0109] The non-user type determination unit 760 is connected to the data acquisition unit 720 and is used to determine the person type as non-user type when the pressure data and temperature data are not within the preset physiological parameter range.

[0110] In this embodiment, each module is used to execute Figure 2 For details of each step in the corresponding embodiment, please refer to the documentation. Figure 2 as well as Figure 2 The relevant descriptions in the corresponding embodiments will not be repeated here.

[0111] See Figure 8 This is a schematic block diagram of the structure of an intelligent control device in one embodiment.

[0112] In this embodiment, the intelligent control device is applied to an intelligent seat, such as... Figure 8 As shown, the intelligent control device includes a switching instruction generation module 820 and a mode switching module 840.

[0113] The switching instruction generation module 820 is used to generate mode switching instructions when the character type is not user type.

[0114] The mode switching module 840 is connected to the switching instruction generation module 820 and is used to switch the smart seat from the sedentary reminder mode to the cargo mode according to the mode switching instruction. The sedentary reminder mode is the default mode.

[0115] In this embodiment, each module is used to execute Figure 3 For details of each step in the corresponding embodiment, please refer to the documentation. Figure 3 as well as Figure 3 The relevant descriptions in the corresponding embodiments will not be repeated here.

[0116] See Figure 9 This is a schematic block diagram of the structure of an intelligent control device in one embodiment.

[0117] In this embodiment, the intelligent control device is applied to an intelligent seat, such as... Figure 9 As shown, the intelligent control device includes an impedance data acquisition module 920 and a character type determination module 940.

[0118] The impedance data acquisition module 920 is used to acquire impedance data when either the pressure data or the temperature data is not within the preset physiological parameter range.

[0119] The character type determination module 940 is connected to the impedance data acquisition module 920 and is used to determine the character type based on the impedance data.

[0120] In this embodiment, each module is used to execute Figure 4 For details of each step in the corresponding embodiment, please refer to the documentation. Figure 4 as well as Figure 4 The relevant descriptions in the corresponding embodiments will not be repeated here.

[0121] See Figure 10 This is a schematic block diagram of the structure of an intelligent control device in one embodiment.

[0122] In this embodiment, the intelligent control device is applied to an intelligent seat, such as... Figure 10 As shown, the intelligent control device includes a data information acquisition module 1020 and a user type determination module 1040.

[0123] The data information acquisition module 1020 is used to acquire historical data information corresponding to the pressure data when the pressure data is not within the preset physiological parameter range, but the temperature data is within the preset physiological parameter range.

[0124] The user type determination module 1040 is connected to the data information acquisition module 1020 and is used to determine the person type as the user type based on historical data information.

[0125] In this embodiment, each module is used to execute Figure 5 For details of each step in the corresponding embodiment, please refer to the documentation. Figure 5 as well as Figure 5 The relevant descriptions in the corresponding embodiments will not be repeated here.

[0126] Each module in the aforementioned intelligent control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the communication device in hardware form or independent of it, or stored in the memory of the communication device in software form, so that the processor can call and execute the corresponding operations of each module.

[0127] For specific limitations regarding the intelligent control device, please refer to the limitations of the intelligent control method above, which will not be repeated here. Each module in the aforementioned intelligent control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in hardware or independently of the processor in the computer device, or stored in software in the memory of the computer device, so that the processor can call and execute the operations corresponding to each module.

[0128] This application embodiment also provides a smart seat, which includes a seat and an armrest support. The seat is equipped with a pressure sensor and a clock sensor. The pressure sensor is used to acquire status data, and the clock sensor is used to acquire the duration of continuous pressure. The armrest support is equipped with an infrared temperature sensor, which is used to acquire status data.

[0129] This application also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the intelligent control method in the above embodiments. The steps of the intelligent control method are described in the relevant descriptions of the above embodiments.

[0130] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps of the intelligent control method in the above embodiments. The steps of the intelligent control method are described in the relevant descriptions of the above embodiments.

[0131] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the intelligent control method described in the above embodiments. The steps of the intelligent control method are described in the relevant descriptions of the above embodiments.

[0132] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0133] 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 above methods. Any references to memory, 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, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0134] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0135] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. An intelligent control method, characterized in that, The intelligent control method, applied to smart seats, includes: Acquire the state data of the smart seat after it is pressed, and determine the type of person to whom the pressure is applied based on the state data; When the person type is user, obtain the continuous pressure time of the smart seat; If the continuous pressure time is greater than the preset sitting time, a sitting reminder signal is generated, which is used to remind the user that they are in a sitting state for a long time. The status data includes pressure data and temperature data. The step of determining the type of person subject to pressure based on the status data includes: When the pressure data is outside the preset physiological parameter range, but the temperature data is within the preset physiological parameter range, historical data information corresponding to the pressure data is acquired, the parameter change model of the historical data information is analyzed, and the expected adjustment value corresponding to the pressure data is generated based on the parameter change model. Here, the parameter change model is the pressure data change rule corresponding to the case where the pressure object is a person in the historical data; the expected adjustment value corresponding to the pressure data is a predicted value of the pressure data change based on the pressure data change rule corresponding to the case where the pressure object is a person in the historical data. When the sum of the pressure data and the expected adjustment value is within a preset physiological parameter range, the person type is determined to be a user type; When the sum of the pressure data and the expected adjustment value is not within the preset physiological parameter range, the person type is determined to be a non-user type. When the character type is not a user type, generate a mode switching instruction; According to the mode switching command, the smart seat is switched from the sedentary reminder mode to the cargo carrying mode, where the sedentary reminder mode is the default mode; Among them, the sedentary reminder mode is a working mode that generates a sedentary reminder signal based on the continuous pressure time of the smart seat when the pressure object is a person. The object-carrying mode is a working mode that does not acquire the continuous pressure time of the smart seat when the pressure object is an object. The default mode is the working mode when the smart seat is not subjected to pressure from an object.

2. The intelligent control method according to claim 1, characterized in that, The step of acquiring the state data of the smart seat after it is subjected to pressure, and determining the type of person applying the pressure based on the state data, includes: Acquire the pressure and temperature data of the smart seat after it is compressed; When both the pressure data and the temperature data are within the preset physiological parameter range, the person type is determined to be the user type.

3. The intelligent control method according to claim 2, characterized in that, The step of obtaining the state data of the smart seat after it is pressed, and determining the type of person applying the pressure based on the state data, further includes: when the pressure data and temperature data are not within the preset physiological parameter range, determining that the person type is a non-user type.

4. The intelligent control method according to claim 1, characterized in that, The status data also includes impedance data; the intelligent control method further includes: When either the pressure data or the temperature data is outside the preset physiological parameter range, impedance data is acquired. The character type is determined based on the impedance data.

5. The intelligent control method according to claim 4, characterized in that, The step of determining the person type based on the impedance data includes: When the impedance data is within a preset physiological parameter range, the person type is determined to be the user type; When the impedance data is not within the preset physiological parameter range, the character type is determined to be a non-user type.

6. An intelligent control device, characterized in that, The intelligent control device, applied to smart seats, includes: The person type determination module is used to acquire the state data of the smart seat after it is pressed, and determine the person type of the object being pressed based on the state data; The status data includes pressure data and temperature data. The step of determining the type of person subject to pressure based on the status data includes: When the pressure data is outside the preset physiological parameter range, but the temperature data is within the preset physiological parameter range, historical data information corresponding to the pressure data is acquired, the parameter change model of the historical data information is analyzed, and the expected adjustment value corresponding to the pressure data is generated based on the parameter change model. Here, the parameter change model is the pressure data change rule corresponding to the case where the pressure object is a person in the historical data; the expected adjustment value corresponding to the pressure data is a predicted value of the pressure data change based on the pressure data change rule corresponding to the case where the pressure object is a person in the historical data. When the sum of the pressure data and the expected adjustment value is within a preset physiological parameter range, the person type is determined to be a user type; When the sum of the pressure data and the expected adjustment value is not within the preset physiological parameter range, the person type is determined to be a non-user type. The pressure time acquisition module is connected to the person type determination module and is used to acquire the continuous pressure time of the smart seat when the person type is a user type. A sedentary reminder module, connected to the pressure time acquisition module, is used to generate a sedentary reminder signal if the continuous pressure time is greater than a preset sedentary time. The sedentary reminder signal is used to remind the user that they are in a sedentary state. The switching instruction generation module is used to generate mode switching instructions when the character type is not a user type; A mode switching module, connected to the switching instruction generation module, is used to switch the smart seat from a sedentary reminder mode to a cargo-carrying mode according to the mode switching instruction, wherein the sedentary reminder mode is the default mode; Among them, the sedentary reminder mode is a working mode that generates a sedentary reminder signal based on the continuous pressure time of the smart seat when the pressure object is a person. The object-carrying mode is a working mode that does not acquire the continuous pressure time of the smart seat when the pressure object is an object. The default mode is the working mode when the smart seat is not subjected to pressure from an object.

7. A smart seat, characterized in that, include: The chair seat is equipped with a pressure sensor and a clock sensor. The pressure sensor is used to acquire the status data, and the clock sensor is used to acquire the continuous pressure time. An armrest support, wherein the armrest support is equipped with an infrared temperature sensor, the infrared temperature sensor being used to acquire the status data; The smart seat performs the steps of the method according to any one of claims 1-5 when it is in operation.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

Images