Intelligent bedside table control method based on Internet of Things and control system thereof

Abstract

The invention discloses an intelligent bedside cabinet control method and system based on the Internet of Things, and belongs to the technical field of wireless equipment power control, and the method specifically comprises the steps: obtaining the output power range of a wireless charging device, adjusting the output power of the wireless charging device at intervals, and controlling the output power of the wireless charging device; acquiring temperature data and environment temperature data when the mobile equipment is charged in real time; an optimal charging temperature interval is preset, the output power Pi is kept unchanged, and when the temperature of the mobile equipment rises to the standard temperature, charging is stopped, and the heat increment Q1 per second of the output power Pi at the current environment temperature is calculated; acquiring temperature data T1 of the mobile equipment after a preset time interval t, and calculating heat loss Q2 per second at the current environment temperature; when the temperature of the mobile equipment rises to the standard temperature Tstandard, the output power of the wireless charging device is adjusted, the power of the charging device can be controlled, the charging efficiency is improved, and the charging overheating risk is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless device power control, and in particular to an intelligent bedside cabinet control method and a control system thereof based on the Internet of Things. Background Art

[0002] With the continuous development of science and technology, smart homes have been widely used. Various smart appliances have greatly facilitated people's home life. As the main furniture in people's bedrooms, bedside tables are also developing in a diversified way. For example, the current bedside tables are equipped with sockets, USB (Universal Serial Bus) interfaces, wireless charging, Bluetooth speakers, floor lamps, fingerprint locks and other functions, making bedside tables no longer a single cabinet for placing items, which greatly facilitates people's life and entertainment in the bedroom.

[0003] Wireless charging technology originates from wireless power transmission technology and can be divided into two types: low-power wireless charging and high-power wireless charging. Generally, wireless charging of mobile phones and other daily appliances adopts electromagnetic induction low-power wireless charging. With the increasing maturity of wireless charging technology, wireless charging devices are used in various smart home devices, such as smart bedside tables, providing users with convenient services, so that users do not need to connect wires, and only need to put the mobile phone in the wireless charging area of ​​the smart home device to complete the charging operation. With the widespread application of wireless charging devices, it is very important to ensure the safety and performance of the equipment during the charging process. The existing technology sets the charging temperature threshold, uses constant power for charging, and controls the mobile device to stop charging when the charging temperature reaches a certain threshold to prevent overheating and ensure charging safety. It cannot effectively adjust the output power to cope with different ambient temperatures and the thermal characteristics of the device itself, and it is difficult to achieve heat management and optimization of charging efficiency during the charging process. Summary of the invention

[0004] The purpose of the present invention is to provide a smart bedside cabinet control method and control system based on the Internet of Things to solve the following technical problems: With the widespread use of wireless charging devices, ensuring the safety and performance of devices during the charging process is crucial. Existing technologies lack specificity in temperature management and cannot effectively adjust the output power to cope with different ambient temperatures and the thermal characteristics of the device itself, making it difficult to achieve heat management and optimization of charging efficiency during the charging process.

[0005] The purpose of the present invention can be achieved through the following technical solutions: The intelligent bedside table control method based on the Internet of Things is characterized by comprising: The data acquisition module is used to obtain the output power range of the wireless charging device and is marked as [P min , Pmax ], within the preset collection period T, the output power of the wireless charging device is adjusted at intervals, and the temperature data and the ambient temperature data of the mobile device when charging are obtained in real time; The data analysis module is used to preset the optimal charging temperature range [M, N]. Under any output power Pi, the output power Pi of the wireless charging device is kept unchanged. When the temperature of the mobile device rises to the standard temperature T 标 =(M+N) / 2, stop charging, and plot the temperature of the mobile device rising to the standard temperature T 标 The temperature curve Z is the temperature change with time in the process. The preset time interval t is obtained, and the real-time temperature in the curve Z is equal to the standard temperature T 标 At time node t', from curve Z, take time node t' as the starting point and extract sub-curve Z' with a duration of t in the reverse time direction, and calculate the time when the real-time temperature rises to the standard temperature T 标 Temperature rise rate , calculate the heat increase Q1 per second at the current ambient temperature with an output power of Pi according to the temperature rise rate v; After charging is stopped, the temperature data T1 of the mobile device after a preset time interval t is obtained, and the heat loss Q2 per second under the current ambient temperature is calculated; The result generation module is used to repeat the above steps to obtain the heat loss Q2 of the mobile device per second at all ambient temperatures and the heat gain Q1 at any output power. When the temperature of the mobile device rises to the standard temperature T 标 When the heat loss Q2 and the heat gain Q1 are used, the output power of the wireless charging device is adjusted.

[0006] As a further solution of the present invention: in the data acquisition module, the specific process of acquiring the temperature data of the charging mobile device is as follows: A plurality of collection points are set on the wireless charging device at preset distance intervals, and the temperature at each collection point is obtained in real time and the average is calculated, and the difference between the temperature at each collection point and the average is calculated. When the difference is greater than or equal to the preset value, the temperature at the corresponding collection point is discarded, and the average is recalculated, and the recalculated average is used as the temperature data when the mobile device is charging.

[0007] As a further solution of the present invention: in the data acquisition module, the specific calculation process of the heat increase is: Q1=c*m*v; Where c is the specific heat, m is the mass of the mobile device, and v is expressed in degrees Celsius per second.

[0008] As a further solution of the present invention: in the data acquisition module, the specific calculation process of the heat loss is: T'=T 标 -T1; Q2=(c*m*T') / t; Where c is the specific heat capacity and m is the mass of the mobile device.

[0009] As a further solution of the present invention: the result generation module also includes setting the output power of the wireless charging device to P max Calibrated as initial power P 初 If the temperature of a mobile device is lower than the standard temperature T 标 , then the output power of the wireless charging device is calibrated as the initial power P 初 , real-time monitoring of the temperature T of the mobile device, when the temperature reaches the preset standard value T 标 , the output power of the wireless device is automatically adjusted to P', where P' is the output power when the heat gain Q1' and the heat loss Q2' reach a balance, that is, Q1'=Q2', and Q2' is the output power when the mobile device is at the standard temperature T at the current ambient temperature. 标 The heat loss under the condition of Q1' is the heat loss under the condition of standard temperature T 标 The output power is P'.

[0010] As a further solution of the present invention: it also includes obtaining the ambient temperature change value in real time after the output power of the wireless device is adjusted to P'. If the ambient temperature change value is greater than or equal to 1 degree Celsius, the output power of the wireless device is readjusted; if the ambient temperature change value is less than 1 degree Celsius, the output power of the wireless device is maintained at P'.

[0011] As a further solution of the present invention: it also includes setting the output power of the wireless device at all ambient temperatures to P min The corresponding heat increase is calibrated as P 标 , if there is any ambient temperature P 标 Greater than the standard temperature T 标 The heat loss Q1 under the condition of the wireless charging device is adjusted to P max , obtain the temperature T of the mobile device in real time, and stop charging when the temperature of the mobile device rises to the temperature value N.

[0012] As a further solution of the present invention: it also includes a data transmission module, which is used to wirelessly connect to the wireless charging device via WiFi and transmit the detection data to the data analysis module, wherein the detection data includes temperature data of the mobile device when charging, ambient temperature data and output power of the wireless device.

[0013] The intelligent bedside table control method based on the Internet of Things is characterized by comprising the following steps: S1, obtain the output power range of the wireless charging device and mark it as [P min , P max ], within the preset collection period T, the output power of the wireless charging device is adjusted at intervals, and the temperature data and the ambient temperature data of the mobile device when charging are obtained in real time; S2, preset the optimal charging temperature range [M, N], keep the output power Pi of the wireless charging device unchanged at any output power Pi, when the temperature of the mobile device rises to the standard temperature T 标 =(M+N) / 2, stop charging, and plot the temperature of the mobile device rising to the standard temperature T 标 The temperature curve Z is the temperature change with time in the process. The preset time interval t is obtained, and the real-time temperature in the curve Z is equal to the standard temperature T 标 At time node t', from curve Z, take time node t' as the starting point and extract sub-curve Z' with a duration of t in the reverse time direction, and calculate the time when the real-time temperature rises to the standard temperature T 标 Temperature rise rate , calculate the heat increase Q1 per second at the current ambient temperature with an output power of Pi according to the temperature rise rate v; S3, after stopping charging, obtaining the temperature data T1 of the mobile device after a preset time interval t, and calculating the heat loss Q2 per second at the current ambient temperature; S4, repeat the above steps to obtain the heat loss Q2 of the mobile device per second at all ambient temperatures and the heat gain Q1 at any output power. When the temperature of the mobile device rises to the standard temperature T 标 When the heat loss Q2 and the heat gain Q1 are used, the output power of the wireless charging device is adjusted.

[0014] Beneficial effects of the present invention: The present invention first adjusts the output power of the wireless charging device at intervals within a preset collection period T, and obtains temperature data and ambient temperature data of the mobile device when charging in real time, so as to provide data support for subsequent optimization and improvement, and obtains the heating efficiency of different charging powers in the same external environment to the standard temperature by adjusting the charging power, and simultaneously obtains the heat dissipation efficiency of the mobile device at the standard temperature under different ambient temperatures. By calculating the heating efficiency and the heat dissipation efficiency, it is possible to dynamically adjust the charging power and adapt to different environmental conditions according to the changes in the real-time temperature and ambient temperature, so that the charging process can be carried out within the optimal temperature range, thereby improving the charging efficiency and speed, and achieving effective management of heat, avoiding performance degradation or equipment damage due to overheating, and providing users with a better user experience. The present invention can control the power of the charging device, which not only improves the charging efficiency but also avoids the risk of overheating during charging. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 It is a schematic diagram of the control system flow of the intelligent bedside cabinet based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention is a smart bedside cabinet control method based on the Internet of Things, comprising the following steps: The data acquisition module is used to obtain the output power range of the wireless charging device and is marked as [P min , P max ], within the preset collection period T, the output power of the wireless charging device is adjusted at intervals, and the temperature data and the ambient temperature data of the mobile device when charging are obtained in real time; The data analysis module is used to preset the optimal charging temperature range [M, N]. Under any output power Pi, the output power Pi of the wireless charging device is kept unchanged. When the temperature of the mobile device rises to the standard temperature T 标 =(M+N) / 2, stop charging, and plot the temperature of the mobile device rising to the standard temperature T 标 The temperature curve Z is the temperature change with time in the process. The preset time interval t is obtained, and the real-time temperature in the curve Z is equal to the standard temperature T 标 At time node t', from curve Z, take time node t' as the starting point and extract sub-curve Z' with a duration of t in the reverse time direction, and calculate the time when the real-time temperature rises to the standard temperature T 标 Temperature rise rate , calculate the heat increase Q1 per second at the current ambient temperature with an output power of Pi according to the temperature rise rate v; After charging is stopped, the temperature data T1 of the mobile device after a preset time interval t is obtained, and the heat loss Q2 per second under the current ambient temperature is calculated; The result generation module is used to repeat the above steps to obtain the heat loss Q2 of the mobile device per second at all ambient temperatures and the heat gain Q1 at any output power. When the temperature of the mobile device rises to the standard temperature T 标When the heat loss Q2 and the heat gain Q1 are used, the output power of the wireless charging device is adjusted.

[0019] The present invention first adjusts the output power of the wireless charging device at intervals within a preset collection period T, and obtains temperature data and ambient temperature data of the mobile device when charging in real time, so as to provide data support for subsequent optimization and improvement, and obtains the heating efficiency of different charging powers in the same external environment to the standard temperature by adjusting the charging power, and simultaneously obtains the heat dissipation efficiency of the mobile device at the standard temperature under different ambient temperatures. By calculating the heating efficiency and the heat dissipation efficiency, it is possible to dynamically adjust the charging power and adapt to different environmental conditions according to the changes in real-time temperature and ambient temperature, so that the charging process can be carried out within the optimal temperature range, thereby improving the charging efficiency and speed, and achieving effective management of heat, avoiding performance degradation or equipment damage due to overheating, and providing users with a better user experience. The present invention can control the power of the charging device, which not only improves the charging efficiency but also avoids the risk of overheating during charging. In a preferred implementation of the present invention, in the data acquisition module, the specific process of acquiring the temperature data of the charging mobile device is as follows: A plurality of collection points are set on the wireless charging device at preset distance intervals, and the temperature at each collection point is obtained in real time and the average is calculated, and the difference between the temperature at each collection point and the average is calculated. When the difference is greater than or equal to the preset value, the temperature at the corresponding collection point is discarded, and the average is recalculated, and the recalculated average is used as the temperature data when the mobile device is charging.

[0020] In another preferred implementation of the present invention, in the data analysis module, the specific calculation process of the heat gain is: Q1=c*m*v; Where c is the specific heat, m is the mass of the mobile device, and v is expressed in degrees Celsius per second.

[0021] In another preferred implementation of the present invention, in the data analysis module, the specific calculation process of the heat loss is: T'=T 标 -T1; Q2=(c*m*T') / t; Where c is the specific heat capacity and m is the mass of the mobile device.

[0022] In another preferred implementation of the present invention, the result generation module further includes setting the output power of the wireless charging device to P max Calibrated as initial power P 初 If the temperature of a mobile device is lower than the standard temperature T 标, then the output power of the wireless charging device is calibrated as the initial power P 初 , real-time monitoring of the temperature T of the mobile device, when the temperature reaches the preset standard value T 标 , the output power of the wireless device is automatically adjusted to P', where P' is the output power when the heat gain Q1' and the heat loss Q2' reach a balance, that is, Q1'=Q2', and Q2' is the output power when the mobile device is at the standard temperature T at the current ambient temperature. 标 The heat loss under the condition of Q1' is the heat loss under the condition of standard temperature T 标 The output power is P'.

[0023] In another preferred implementation of the present invention, after the output power of the wireless device is adjusted to P', the ambient temperature change value is obtained in real time. If the ambient temperature change value is greater than or equal to 1 degree Celsius, the output power of the wireless device is readjusted; if the ambient temperature change value is less than 1 degree Celsius, the output power of the wireless device is maintained at P'.

[0024] In another preferred embodiment of the present invention, the output power of the wireless device at all ambient temperatures is P min The corresponding heat increase is calibrated as P 标 , if there is any ambient temperature P 标 Greater than the standard temperature T 标 The heat loss Q1 under the condition of the wireless charging device is adjusted to P max , obtain the temperature T of the mobile device in real time, and stop charging when the temperature of the mobile device rises to the temperature value N.

[0025] In another preferred embodiment of the present invention, it also includes a data transmission module, which is used to wirelessly connect to the wireless charging device via WiFi and transmit the detection data to the data analysis module. The detection data includes temperature data of the mobile device when charging, ambient temperature data and output power of the wireless device.

[0026] The intelligent bedside cabinet control method based on the Internet of Things includes the following steps: S1, obtain the output power range of the wireless charging device and mark it as [P min , P max ], within the preset collection period T, the output power of the wireless charging device is adjusted at intervals, and the temperature data and the ambient temperature data of the mobile device when charging are obtained in real time; S2, preset the optimal charging temperature range [M, N], keep the output power Pi of the wireless charging device unchanged at any output power Pi, when the temperature of the mobile device rises to the standard temperature T 标 =(M+N) / 2, stop charging, and plot the temperature of the mobile device rising to the standard temperature T标 The temperature curve Z is the temperature change with time in the process. The preset time interval t is obtained, and the real-time temperature in the curve Z is equal to the standard temperature T 标 At time node t', from curve Z, take time node t' as the starting point and extract sub-curve Z' with a duration of t in the reverse time direction, and calculate the time when the real-time temperature rises to the standard temperature T 标 Temperature rise rate , calculate the heat increase Q1 per second at the current ambient temperature with an output power of Pi according to the temperature rise rate v; S3, after stopping charging, obtaining the temperature data T1 of the mobile device after a preset time interval t, and calculating the heat loss Q2 per second at the current ambient temperature; S4, repeat the above steps to obtain the heat loss Q2 of the mobile device per second at all ambient temperatures and the heat gain Q1 at any output power. When the temperature of the mobile device rises to the standard temperature T 标 When the heat loss Q2 and the heat gain Q1 are used, the output power of the wireless charging device is adjusted.

[0027] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A smart bedside table control method based on the Internet of Things, characterized in that: include: The data acquisition module is used to obtain the output power range of the wireless charging device and is marked as [P min , P max ], within the preset collection period T, the output power of the wireless charging device is adjusted at intervals, and the temperature data and the ambient temperature data of the mobile device when charging are obtained in real time; The data analysis module is used to preset the optimal charging temperature range [M, N]. Under any output power Pi, the output power Pi of the wireless charging device is kept unchanged. When the temperature of the mobile device rises to the standard temperature T 标 =(M+N) / 2, stop charging, and plot the temperature of the mobile device rising to the standard temperature T 标 The temperature curve Z is the temperature change with time in the process. The preset time interval t is obtained. The real-time temperature in the curve Z is equal to the standard temperature T. 标 At time node t', from curve Z, take time node t' as the starting point and extract sub-curve Z' with a duration of t in the reverse time direction, and calculate the time when the real-time temperature rises to the standard temperature T 标 Temperature rise rate , calculate the heat increase Q1 per second at the current ambient temperature with an output power of Pi according to the temperature rise rate v; After stopping charging, obtain the temperature data T1 of the mobile device after a preset time interval t, and calculate the heat loss Q2 per second at the current ambient temperature; The result generation module is used to repeat the above steps to obtain the heat loss Q2 of the mobile device per second at all ambient temperatures and the heat gain Q1 at any output power. When the temperature of the mobile device rises to the standard temperature T 标 When the heat loss Q2 and the heat gain Q1 are used, the output power of the wireless charging device is adjusted.

2. The method for controlling an intelligent bedside table based on the Internet of Things according to claim 1, characterized in that: In the data acquisition module, the specific process of acquiring the temperature data of the charging mobile device is as follows: A plurality of collection points are set on the wireless charging device at preset distance intervals, and the temperature at each collection point is obtained in real time and the average is calculated, and the difference between the temperature at each collection point and the average is calculated. When the difference is greater than or equal to the preset value, the temperature at the corresponding collection point is discarded, and the average is recalculated, and the recalculated average is used as the temperature data when the mobile device is charging.

3. The method for controlling an intelligent bedside table based on the Internet of Things according to claim 1, characterized in that: In the data analysis module, the specific calculation process of the heat gain is: Q1=c*m*v; Wherein, c is the specific heat capacity of the mobile device, m is the mass of the mobile device, and the unit of v is set to degrees Celsius per second.

4. The method for controlling an intelligent bedside table based on the Internet of Things according to claim 1, characterized in that: In the data analysis module, the specific calculation process of the heat loss is: T'=T 标 -T1; Q2=(c*m*T') / t; Where c is the specific heat capacity of the mobile device and m is the mass of the mobile device.

5. The method for controlling an intelligent bedside table based on the Internet of Things according to claim 1, characterized in that: The result generation module also includes setting the output power of the wireless charging device to P max Calibrated as initial power P 初 If the temperature of a mobile device is lower than the standard temperature T 标 , then the output power of the wireless charging device is calibrated as the initial power P 初 , real-time monitoring of the temperature T of the mobile device, when the temperature reaches the preset standard value T 标 , the output power of the wireless device is automatically adjusted to P', where P' is the output power when the heat gain Q1' and the heat loss Q2' reach a balance, that is, Q1'=Q2', and Q2' is the output power when the mobile device is at the standard temperature T at the current ambient temperature. 标 The heat loss under the condition of Q1' is the heat loss under the condition of standard temperature T 标 The output power is P'.

6. The method for controlling an intelligent bedside table based on the Internet of Things according to claim 5, characterized in that: It also includes obtaining the ambient temperature change value in real time after the output power of the wireless device is adjusted to P'. If the ambient temperature change value is greater than or equal to 1 degree Celsius, the output power of the wireless device is readjusted; if the ambient temperature change value is less than 1 degree Celsius, the output power of the wireless device is maintained at P'.

7. The method for controlling an intelligent bedside table based on the Internet of Things according to claim 5, characterized in that: It also includes the wireless device output power P at all ambient temperatures. min The corresponding heat increase is calibrated as P 标 , if there is any ambient temperature P 标 Greater than the standard temperature T 标 The heat loss Q1 under the condition of the wireless charging device is adjusted to P max , obtain the temperature T of the mobile device in real time, and stop charging when the temperature of the mobile device rises to the temperature value N.

8. The method for controlling an intelligent bedside table based on the Internet of Things according to claim 1, characterized in that: It also includes a data transmission module, which is used to wirelessly connect to the wireless charging device via WiFi and transmit the detection data to the data analysis module. The detection data includes temperature data of the mobile device when charging, ambient temperature data and output power of the wireless device.

9. The intelligent bedside table control method based on the Internet of Things is characterized by: The following steps are involved: S1, obtain the output power range of the wireless charging device and mark it as [P min , P max ], within the preset collection period T, the output power of the wireless charging device is adjusted at intervals, and the temperature data and the ambient temperature data of the mobile device when charging are obtained in real time; S2, preset the optimal charging temperature range [M, N], keep the output power Pi of the wireless charging device unchanged at any output power Pi, when the temperature of the mobile device rises to the standard temperature T 标 =(M+N) / 2, stop charging, and plot the temperature of the mobile device rising to the standard temperature T 标 The temperature curve Z is the temperature change with time in the process. The preset time interval t is obtained. The real-time temperature in the curve Z is equal to the standard temperature T. 标 At time node t', from curve Z, take time node t' as the starting point and extract sub-curve Z' with a duration of t in the reverse time direction, and calculate the time when the real-time temperature rises to the standard temperature T 标 Temperature rise rate , calculate the heat increase Q1 per second at the current ambient temperature with an output power of Pi according to the temperature rise rate v; S3, after stopping charging, obtaining the temperature data T1 of the mobile device after a preset time interval t, and calculating the heat loss Q2 per second at the current ambient temperature; S4, repeat the above steps to obtain the heat loss Q2 of the mobile device per second at all ambient temperatures and the heat gain Q1 at any output power. When the temperature of the mobile device rises to the standard temperature T 标 When the heat loss Q2 and the heat gain Q1 are used, the output power of the wireless charging device is adjusted.

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