Intelligent tea table system of integrated graphene spraying heating rock plate and control method

Abstract

The invention discloses an intelligent tea table system of an integrated graphene spraying heating rock plate and a control method, and relates to the field of intelligent tea tables, and the system comprises a sensing module which is used for collecting table top temperature data and environment temperature data in real time, and converting the collected temperature data into electric signals; the control module is used for receiving the electric signal output by operation of the sensing module, performing logical operation on the electric signal based on preset temperature control logic to generate a temperature adjusting instruction, and transmitting the temperature adjusting instruction to the heating module to adjust and control the heating power of the heating rock plate; according to the invention, multi-position high-precision temperature monitoring, environment temperature compensation and table surface temperature uniformity regulation and control logic are combined, the target temperature can be automatically adapted according to the environment temperature, the temperature of each area of the table surface can be balanced, the common temperature of a user can be memorized, and the use convenience and comfort are improved.

Description

Technical Field

[0001] This invention relates to the field of smart coffee table technology, specifically to a smart coffee table system and control method using an integrated graphene-coated heated rock panel. Background Technology

[0002] Currently, coffee tables, as a common piece of furniture in family living rooms, are gradually evolving from traditional static functions towards intelligent and integrated designs. Some new coffee table products have begun to integrate functions such as wireless charging, lighting, and audio, enhancing user convenience and experience. However, most of these smart coffee tables remain at the stage of simply stacking functions, lacking a unified control system, and still have many shortcomings in terms of structural layout, energy efficiency, and safety, making it difficult to meet the diverse needs of modern smart homes for aesthetics, comfort, and energy efficiency.

[0003] Meanwhile, novel nanomaterials, represented by graphene, are showing broad application prospects in the field of intelligent heating. Graphene-sprayed heating films offer advantages such as rapid heating, uniform heat distribution, high power density, and far-infrared heating, and are suitable for coating complex surfaces, and have been gradually applied to scenarios such as underfloor heating and seat heating. However, the integrated application of this type of material in the furniture industry is still in the exploratory stage. Current technologies have not yet efficiently combined graphene-sprayed heating materials with novel decorative structures such as slabs, and there is a lack of intelligent control systems built around user experience.

[0004] In summary, the current market lacks an intelligent coffee table system that possesses both excellent heating performance and autonomous temperature control, as well as adaptability to multiple scenarios. In particular, significant technological gaps remain in structural integration, material selection, and the synergistic optimization of control methods. Therefore, there is an urgent need to propose a novel intelligent coffee table system and its control method. Summary of the Invention

[0005] In view of the above-mentioned shortcomings of the existing technology, the present invention provides an integrated intelligent coffee table system with graphene sprayed heating rock panel and its control method, which can effectively solve the problems of the existing technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions; This invention discloses an integrated intelligent coffee table system with graphene-coated heating rock panel and its control method, comprising: The heating rock panel consists of a rock panel, a heating module, and an insulation layer. The heating rock panel is coated with a graphene heating layer on the surface of the rock panel substrate through an integrated spraying process. The heat generated by the graphene heating layer after the heating module is powered on is conducted to the rock panel substrate to form a rock panel substrate surface with uniform heat distribution. The system comprises the following modules: a sensing module for real-time acquisition of tabletop and ambient temperature data, converting the acquired temperature data into electrical signals; a control module for receiving the electrical signals output by the sensing module, performing logical operations on the signals based on preset temperature control logic to generate temperature adjustment commands, and then transmitting these commands to the heating modules to regulate the heating power of the heating slab; a protection module for setting temperature thresholds, real-time monitoring of the surface temperature of the heating slab, and outputting a power-off or power-reduction signal to the heating modules when the monitored temperature exceeds the preset threshold; an optimization module for monitoring the real-time energy consumption data of each heating module and dynamically adjusting the energy consumption output parameters of the heating modules based on the temperature adjustment commands output from the control module; and an interaction module for receiving temperature adjustment operations performed by the user on the smart coffee table control panel, converting the operations into control commands, and transmitting them to the control module. The smart coffee table has at least six non-contact temperature sensors installed on the symmetrical area of ​​the tabletop and on the outer side of the coffee table shell. The combination of all the non-contact temperature sensors constitutes the sensing module.

[0007] Furthermore, the heating module includes electrically connected electrode sheets, high-temperature resistant wires, and a temperature control chip. The electrode sheets are bonded to both ends of the graphene heating layer via a conductive adhesive, and the area of ​​the electrode sheets is not less than 80% of the area of ​​the end faces of the graphene heating layer. The integrated spraying process specifically includes the following steps: Step 1: Sandblasting, degreasing, and drying are performed on the upper surface of the rock slab substrate to achieve a surface roughness of Ra3.2μm~Ra6.3μm; Step 2: Mix graphene powder, dispersant, film-forming agent and solvent in a mass ratio of 1:(0.2-0.5):(1-1.5):(5-8) to prepare graphene spraying slurry, wherein the dispersant is sodium dodecylbenzene sulfonate, the film-forming agent is water-based epoxy resin and the solvent is deionized water; Step 3: Use a high-pressure airless spraying device to evenly spray the graphene spraying slurry onto the upper surface of the rock slab substrate. The spraying thickness is controlled at 50-100μm. During the spraying process, maintain the vertical distance between the spray gun and the upper surface of the rock slab substrate at 200-300mm and the moving speed at 50-80mm / s. Step 4: Place the sprayed rock slab substrate in a drying oven at 120-150℃ for 2-3 hours to cure. After curing, allow it to cool naturally to room temperature to form the graphene heating layer on the surface of the rock slab.

[0008] Furthermore, the non-contact temperature sensor is an infrared temperature sensor, and all infrared temperature sensors have a measurement accuracy of not less than ±0.5℃ and a response time of less than 0.5s. The infrared temperature sensors of the symmetrical area of ​​the smart coffee table are distributed in a mirror image along the center line of the table surface. The distance between two adjacent infrared temperature sensors on the table surface is 150-200mm, and the detection range of all infrared temperature sensors on the table surface covers the entire heating rock slab. The infrared temperature sensor on the outside of the coffee table shell is located at 1 / 2 to 2 / 3 of the height of the shell and is evenly distributed along the circumference of the shell. The sensing module also includes a signal filtering unit, which performs low-pass filtering on the acquired temperature electrical signal to filter out interference signals with frequencies higher than 50Hz.

[0009] Furthermore, the preset temperature control logic in the control module includes: Ambient temperature compensation logic: When the ambient temperature collected by the sensing module is lower than 15℃, the control module automatically increases the target table temperature set by the user by 3-5℃; when the ambient temperature is higher than 25℃, it automatically decreases the target table temperature by 2-3℃. Tabletop temperature uniformity control logic: The control module compares the temperature data collected by the infrared temperature sensor in each tabletop area in real time, and calculates the maximum temperature difference. If the maximum temperature difference exceeds the preset temperature difference, it outputs an instruction to increase the power to the heating module corresponding to the lower temperature area and an instruction to decrease the power to the heating module corresponding to the higher temperature area, until the maximum temperature difference is less than or equal to the preset temperature difference. User-set temperature memory logic: The control module has a built-in storage unit that iteratively stores the table surface temperature value set by the user in the last 3 times and the corresponding usage time. When the smart coffee table is restarted and the user does not perform a new temperature adjustment operation, the control module automatically calls the historical set temperature with the longest usage time as the initial target temperature. After generating a temperature adjustment command, the control module transmits the command to each heating module sequentially at time intervals of 100-200ms.

[0010] Furthermore, the temperature threshold of the protection module includes a safety upper limit threshold and a warning threshold, wherein the safety upper limit threshold is set to 60℃ and the warning threshold is set to 50℃; The monitoring locations of the protective module for the heated rock slab include the central area of ​​the rock slab base surface, the four corner areas, and the connection between the rock slab base and the coffee table shell. When the protection module detects that the temperature at any location has reached the warning threshold, it immediately outputs a power reduction signal to the corresponding heating module, reducing the power of the heating module by 20%-30%. If the temperature at this location continues to rise and reaches the safety upper limit threshold within 5-10 seconds after the power reduction, the protection module will output a power-off signal to all heating modules and transmit a fault indication electrical signal to the interaction module, triggering the built-in audible and visual alarm function of the interaction module.

[0011] Furthermore, the real-time energy consumption data of the heating modules monitored by the optimization module includes the working voltage, working current and power consumption per unit time of each heating module, and the optimization module has a built-in energy consumption benchmark database, which stores the standard energy consumption parameters of each heating module under different ambient temperatures and different target tabletop temperatures. When the optimization module dynamically adjusts the energy consumption output parameters of the heating module, it follows the following: Calculate the difference between the real-time power consumption per unit time and the corresponding standard energy consumption parameter. If the difference exceeds 10% of the standard energy consumption parameter, adjust the working current of the heating module so that the real-time power consumption returns to the range of ±5% of the standard energy consumption parameter. Based on the output of the table surface temperature uniformity control logic, when the table surface temperature in any area is 2°C or more lower than the target table surface temperature, and the real-time energy consumption parameter of the heating module in that area is within ±5% of the standard energy consumption parameter, the duty cycle of the pulse width modulation signal of the heating module is increased by 10%-20% in the range of 50%-100%, while the working voltage is controlled to be stable within ±2% of the rated working voltage. When the sensing module detects that the grid voltage fluctuation exceeds ±10%, the optimization module automatically adjusts the operating current or duty cycle of the heating module to ensure that the actual output power of the heating module deviates from the power required by the control module command by no more than 5%. During the process of adjusting the energy consumption output parameters, the optimization module collects the table surface temperature data and energy consumption parameters of the heating module in each area every 50-100ms. It also continuously corrects the output command based on the deviation between the collected data and the target parameters, so that the overall temperature fluctuation of each area on the surface of the heating rock plate is controlled within ±1℃.

[0012] Furthermore, the smart coffee table control panel in the interactive module includes a touch-sensitive operation panel and a voice control unit, wherein the touch-sensitive operation panel is a capacitive touch-sensitive operation panel; The user temperature adjustment operation methods include: Enter the specific temperature value within the range of 5-60℃ directly on the touch control panel; Select one of the three preset temperature settings on the touch control panel: hand warming setting (25-30℃), low heat setting (30-40℃), and high heat setting (40-50℃). Input voice commands via the voice control unit; The touch panel displays the current tabletop temperature and ambient temperature in real time, and provides feedback to the user on the adjustment result through a pop-up window or voice prompt after each temperature adjustment command is executed.

[0013] Furthermore, the insulation layer of the heating rock plate is a composite structure, including an inner rock wool insulation layer and an outer aluminum foil reflective layer; The rock wool insulation layer has a thickness of 20-30mm and a bulk density of 100-120kg / m³. 3 The thermal conductivity is not greater than 0.04 W / (m·K), the thickness of the aluminum foil reflective layer is 0.1-0.2 mm, and the aluminum foil surface is anodized with a reflectivity of not less than 90%. The insulation layer is bonded to the lower surface of the rock slab substrate by a high-temperature resistant silicone adhesive. The adhesive coating thickness is 0.5-1mm, and the coating area covers more than 95% of the lower surface of the rock slab. An annular heat-insulating sealing strip is provided between the edge of the insulation layer and the edge of the heating module. The upper limit of the temperature resistance of the sealing strip is not less than 200℃, and the heat-insulating sealing strip is bonded to the edge of the insulation layer, the edge of the heating module, and the inner wall of the coffee table shell by pressing.

[0014] Furthermore, the sensing module is electrically connected to the control module via a dielectric, the control module is electrically interconnected with the protection module via a dielectric, the protection module is electrically interconnected with the optimization module and the interaction module via a dielectric, and the optimization module and the interaction module are electrically interconnected with the control module via a dielectric.

[0015] On the other hand, a control method for a smart coffee table with an integrated graphene-sprayed heated rock panel includes: A graphene heating layer is deployed on the treated rock slab using an integrated spraying process. This layer, combined with an insulation layer and heating modules, forms a heated rock slab with uniform heat distribution. Sufficient temperature sensing elements are placed on the symmetrical area of ​​the coffee table surface and the outer side of the casing to collect real-time tabletop and ambient temperatures and convert them into electrical signals. Based on the ambient temperature, tabletop temperature uniformity, and user-set historical temperatures, the collected electrical signals are processed to generate temperature adjustment commands, regulating the power of the heated rock slab. Preset warning temperature thresholds and safety upper limit temperature thresholds are implemented. The temperature at key locations on the heated rock slab is monitored in real-time; power is reduced if the warning threshold is exceeded, and power is cut off and an alarm is triggered if the safety upper limit is exceeded. The operating voltage, current, and power consumption per unit time of each heating module are monitored, compared with energy consumption benchmark database parameters, and the operating current or pulse width modulation signal duty cycle is adjusted to control temperature fluctuations. A touch-screen control panel and voice control unit are provided, supporting temperature input, gear selection, and voice command operation, displaying temperature data in real-time and providing feedback on adjustment results.

[0016] Compared with the known prior art, the technical solution provided by this invention has the following beneficial effects: This invention provides an integrated intelligent coffee table system and control method for a graphene-coated heated slab. During application, the system and method form a graphene heating layer on the slab substrate through an integrated spraying process. Combined with a rationally proportioned spraying slurry and precise process parameters, uniform heat distribution is achieved on the slab surface. Multi-position high-precision temperature monitoring and ambient temperature compensation, along with tabletop temperature uniformity control logic, automatically adapt to the target temperature based on ambient temperature, balance the temperature of different areas of the tabletop, and memorize frequently used user temperatures, improving ease of use and comfort. Simultaneously, through dual temperature threshold monitoring, power is reduced or power is cut off and an alarm is triggered in case of abnormal temperature, ensuring safety. The system dynamically adjusts the energy consumption parameters of the heating module, combined with a grid voltage fluctuation adaptation mechanism, to achieve energy saving and stable power output. Furthermore, a composite insulation layer reduces heat loss, further improving energy efficiency. Touch and voice dual-interaction methods and operation feedback design also make operation more convenient and intuitive for users. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the system structure of the present invention; Figure 2 This is a schematic diagram of the control method of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0019] The present invention will be further described below with reference to embodiments.

[0020] Example 1: This embodiment describes an integrated intelligent coffee table system using graphene-sprayed heated rock panels, such as... Figure 1 As shown, it includes: The heated rock panel consists of a rock panel, a heating module, and an insulation layer. The heated rock panel uses an integrated spraying process to spray a graphene heating layer onto the surface of the rock panel substrate. The heat generated by the graphene heating layer after the heating module is powered on is conducted to the rock panel substrate to form a rock panel substrate surface with uniform heat distribution. The heating module includes electrically connected electrode sheets, high-temperature resistant wires, and a temperature control chip. The electrode sheets are bonded to both ends of the graphene heating layer by a conductive adhesive, and the area of ​​the electrode sheets is not less than 80% of the end face area of ​​the graphene heating layer. The integrated spraying process specifically includes the following steps: Step 1: Sandblasting, degreasing, and drying are performed on the upper surface of the rock slab substrate to achieve a surface roughness of Ra3.2μm ~ Ra6.3μm; Step 2: Mix graphene powder, dispersant, film-forming agent and solvent in a mass ratio of 1:(0.2-0.5):(1-1.5):(5-8) to prepare graphene spraying slurry, wherein the dispersant is sodium dodecylbenzene sulfonate, the film-forming agent is water-based epoxy resin and the solvent is deionized water; Step 3: Use a high-pressure airless spraying device to evenly spray the graphene spraying slurry onto the upper surface of the rock slab substrate. The spraying thickness is controlled at 50-100μm. During the spraying process, maintain the vertical distance between the spray gun and the upper surface of the rock slab substrate at 200-300mm and the moving speed at 50-80mm / s. Step 4: Place the sprayed rock slab substrate in a drying oven at 120-150℃ for 2-3 hours to cure. After curing, allow it to cool naturally to room temperature to form a graphene heating layer on the surface of the rock slab. The sensing module is used to collect table surface temperature data and ambient temperature data in real time, and convert the collected temperature data into electrical signals; The smart coffee table has at least six non-contact temperature sensors installed on the symmetrical area of ​​the tabletop and the outer side of the coffee table shell. The combination of all the non-contact temperature sensors constitutes the sensing module. The non-contact temperature sensor is an infrared temperature sensor, and all infrared temperature sensors have a measurement accuracy of no less than ±0.5℃ and a response time of less than 0.5s. The infrared temperature sensors on the symmetrical area of ​​the smart coffee table are mirror-distributed along the center line of the tabletop. The distance between two adjacent infrared temperature sensors on the tabletop is 150-200mm, and the detection range of all infrared temperature sensors on the tabletop covers the entire heated rock slab. The infrared temperature sensor on the outside of the coffee table shell is located at 1 / 2 to 2 / 3 of the height of the shell and is evenly distributed along the circumference of the shell. The sensing module also includes a signal filtering unit, which performs low-pass filtering on the acquired temperature electrical signal to filter out interference signals with frequencies higher than 50Hz. The control module is used to receive the electrical signal output by the sensing module, perform logical operations on the electrical signal based on the preset temperature control logic to generate a temperature adjustment command, and then transmit the temperature adjustment command to the heating module to regulate the heating power of the heating rock plate. It should be noted that logical operations on electrical signals are as follows: Ambient temperature compensation logic: The control module compares the real-time ambient temperature (denoted as T-ring) collected by the sensing module with the preset temperature thresholds (15℃, 25℃). When the ambient temperature is <15℃, a temperature increase operation is triggered, i.e., the target tabletop temperature = user-set temperature + 3~5℃ (calculated according to a gradient of 0.5℃ increase for every 1℃ decrease in T-ring temperature); when T-ring temperature is >25℃, a temperature decrease operation is triggered, i.e., the target tabletop temperature = set temperature - 2~3℃ (calculated according to a gradient of 0.3℃ decrease for every 1℃ increase in T-ring temperature); when 15℃ ≤ ambient temperature ≤ 25℃, the target tabletop temperature equals the set temperature.

[0021] Tabletop temperature uniformity control logic operation: The control module collects the detection values ​​of temperature sensors in each area in real time (denoted as...). ), through maximum value operation Sum of minimum values Calculate the temperature difference value .

[0022] If ΔT > 2℃, then for The corresponding region performs power boosting calculations: right The corresponding region performs power reduction calculations: Repeat the above calculation until ΔT≤2℃.

[0023] User-set temperature memory logic operation: The control module records the usage duration of the last 3 set temperatures through cumulative calculation. The longest usage time is selected through comparison calculation. The system retrieves the corresponding temperature value (Trecord). When the system starts up and there are no new operations, the initial target temperature is set to Trecord through an assignment operation, i.e., Tinitial = Trecord.

[0024] Command transmission logic operation: The control module numbers the heating modules (M1, M2...Mn), generates a transmission sequence through timing allocation operation, and sends commands sequentially at intervals of 100~200ms. At the same time, the circuit current fluctuation value is detected in real time through current monitoring operation. When the circuit current fluctuation value is >10%, the interval time is automatically extended by 50ms until the circuit current fluctuation value is ≤10%. The above logical operations are executed cyclically at a frequency of 10 times per second by the microprocessor built into the control module; The preset temperature control logic in the control module includes: Ambient temperature compensation logic: When the ambient temperature collected by the sensing module is lower than 15℃, the control module automatically increases the target table temperature set by the user by 3-5℃; when the ambient temperature is higher than 25℃, it automatically decreases the target table temperature by 2-3℃. Tabletop temperature uniformity control logic: The control module compares the temperature data collected by the infrared temperature sensor in each tabletop area in real time, and calculates the maximum temperature difference. If the maximum temperature difference exceeds the preset temperature difference, it outputs an instruction to increase the power to the heating module corresponding to the lower temperature area and an instruction to decrease the power to the heating module corresponding to the higher temperature area, until the maximum temperature difference is less than or equal to the preset temperature difference. User-set temperature memory logic: The control module has a built-in storage unit that iteratively stores the table surface temperature value set by the user in the last 3 times and the corresponding usage time. When the smart coffee table is restarted and the user does not perform a new temperature adjustment operation, the control module automatically calls the historical set temperature with the longest usage time as the initial target temperature. After the control module generates a temperature adjustment command, it transmits the command to each heating module sequentially at time intervals of 100-200ms. The protection module is used to set the temperature threshold and monitor the surface temperature of the heating rock plate in real time. When the monitored temperature exceeds the preset temperature threshold, it outputs a power-off signal or a power reduction signal to the heating module. The temperature threshold of the protection module includes a safety upper limit threshold and a warning threshold, wherein the safety upper limit threshold is set to 60℃ and the warning threshold is set to 50℃; The protection module monitors the heated rock slab at the following locations: the center area of ​​the rock slab base surface, the four corner areas, and the connection point between the rock slab base and the coffee table shell. When the protection module detects that the temperature at any location has reached the warning threshold, it immediately outputs a power reduction signal to the corresponding heating module, reducing the power of the heating module by 20%-30%. If the temperature at this location continues to rise and reaches the safety upper limit threshold within 5-10 seconds after the power reduction, the protection module will output a power-off signal to all heating modules and transmit a fault prompt electrical signal to the interaction module, triggering the built-in audible and visual alarm function of the interaction module. The optimization module is used to monitor the real-time energy consumption data of each heating module and dynamically adjust the energy consumption output parameters of the heating module based on the temperature adjustment command output from the control module. The real-time energy consumption data of the heating modules monitored by the optimization module includes the working voltage, working current and power consumption per unit time of each heating module. The optimization module also has a built-in energy consumption benchmark database, which stores the standard energy consumption parameters of each heating module under different ambient temperatures and different target tabletop temperatures. When the optimization module dynamically adjusts the energy consumption output parameters of the heating module, it follows the following rules: Calculate the difference between the real-time power consumption per unit time and the corresponding standard energy consumption parameter. If the difference exceeds 10% of the standard energy consumption parameter, adjust the working current of the heating module so that the real-time power consumption returns to the range of ±5% of the standard energy consumption parameter. Based on the output of the table surface temperature uniformity control logic, when the table surface temperature in any area is 2°C or more lower than the target table surface temperature, and the real-time energy consumption parameter of the heating module in that area is within ±5% of the standard energy consumption parameter, the duty cycle of the pulse width modulation signal of the heating module is increased by 10%-20% in the range of 50%-100%, while the working voltage is controlled to be stable within ±2% of the rated working voltage. When the sensing module detects that the grid voltage fluctuation exceeds ±10%, the optimization module automatically adjusts the operating current or duty cycle of the heating module to ensure that the actual output power of the heating module deviates from the power required by the control module command by no more than 5%. During the process of adjusting the energy consumption output parameters, the optimization module collects the table surface temperature data and energy consumption parameters of the heating module in each area every 50-100ms, and continuously corrects the output command based on the deviation between the collected data and the target parameters, so that the overall temperature fluctuation of each area on the surface of the heating rock plate is controlled within ±1℃. The interaction module is used to receive temperature adjustment operations performed by the user on the smart coffee table control panel in real time, convert the operation content into control commands and transmit them to the control module; The smart coffee table control panel in the interactive module includes a touch-sensitive operation panel and a voice control unit. The touch-sensitive operation panel is a capacitive touch-sensitive operation panel. User temperature adjustment methods include: Enter the specific temperature value within the range of 5-60℃ directly on the touch control panel; Select one of the three preset temperature settings on the touch control panel: hand warming setting (25-30℃), low heat setting (30-40℃), and high heat setting (40-50℃). Input voice commands via the voice control unit; The touch panel displays the current tabletop temperature and ambient temperature in real time, and provides feedback to the user on the adjustment result through a pop-up window or voice prompt after each temperature adjustment command is executed. The insulation layer of the heated rock slab has a composite structure, including an inner rock wool insulation layer and an outer aluminum foil reflective layer; The rock wool insulation layer has a thickness of 20-30mm and a bulk density of 100-120kg / m³. 3The thermal conductivity is not greater than 0.04 W / (m·K), the thickness of the aluminum foil reflective layer is 0.1-0.2 mm, and the aluminum foil surface is anodized with a reflectivity of not less than 90%. The insulation layer is bonded to the lower surface of the rock slab substrate with a high-temperature resistant silicone adhesive. The adhesive coating thickness is 0.5-1mm, and the coating area covers more than 95% of the lower surface of the rock slab. A ring-shaped heat-insulating sealing strip is set between the edge of the insulation layer and the edge of the heating module. The upper limit of the heat-insulating sealing strip is not less than 200℃, and the heat-insulating sealing strip is bonded to the edge of the insulation layer, the edge of the heating module, and the inner wall of the coffee table shell by pressing. The sensing module is electrically connected to the control module via a dielectric, the control module is electrically connected to the protection module via a dielectric, the protection module is electrically connected to the optimization module and the interaction module via a dielectric, and the optimization module and the interaction module are electrically connected to the control module via a dielectric.

[0025] In this embodiment, the sensing module collects real-time tabletop and ambient temperature data and converts the collected temperature data into electrical signals. The control module receives the electrical signals output by the sensing module, performs logical operations on the electrical signals based on preset temperature control logic to generate temperature adjustment commands, and then transmits the temperature adjustment commands to the heating modules to regulate the heating power of the heating slab. The protection module sets a temperature threshold and monitors the surface temperature of the heating slab in real time. When the monitored temperature exceeds the preset temperature threshold, it outputs a power-off signal or a power reduction signal to the heating modules. The optimization module monitors the real-time energy consumption data of each heating module and dynamically adjusts the energy consumption output parameters of the heating modules based on the temperature adjustment commands output by the control module. Finally, the interaction module receives the temperature adjustment operations performed by the user on the smart coffee table control panel in real time, converts the operation content into control commands, and transmits them to the control module.

[0026] When applied to home, office, and other scenarios, this embodiment can provide uniform heating through the graphene heating layer, and accurately adjust the temperature with the sensing and control module, taking into account both environmental adaptability and temperature uniformity. It can also memorize the user's frequently used temperature; the protection module ensures safe use, the optimization module reduces energy consumption, the interaction module provides convenient operation, and the insulation layer reduces heat loss, which not only meets the user's needs for warming hands and placing items, but also achieves a unity of energy saving, safety, and comfortable experience.

[0027] Example 2: At the implementation level, based on Example 1, this example refers to... Figure 2 A further detailed description of the intelligent coffee table system with an integrated graphene-sprayed heated rock panel in Example 1 is provided below: A control method for an integrated graphene-sprayed heated rock panel smart coffee table includes: A graphene heating layer is deployed on the treated rock slab using an integrated spraying process, and then combined with an insulation layer and a heating module to form a heated rock slab with uniform heat distribution. A sufficient number of temperature sensing elements are installed on the symmetrical area of ​​the coffee table and the outside of the casing to collect the table surface and ambient temperature in real time and convert them into electrical signals. Based on the ambient temperature, the uniformity of the table surface temperature, and the user's historical temperature settings, the collected electrical signals are processed to generate temperature adjustment commands, thereby regulating the power of the heating plate. The system presets a warning temperature threshold and a safe upper temperature threshold, monitors the temperature of key locations on the heating rock slab in real time, reduces power when the warning threshold is exceeded, and cuts off power and triggers an alarm when the safe upper temperature threshold is exceeded. Monitor the operating voltage, current and power consumption per unit time of each heating module, compare with the parameters in the energy consumption benchmark database, adjust the operating current or pulse width modulation signal duty cycle, and control the temperature fluctuation range. Equipped with a touch-screen control panel and voice control unit, it supports temperature value input, gear selection and voice command operation, and displays temperature data in real time and provides feedback on adjustment results.

[0028] In summary, the technical solutions in the above embodiments form a graphene heating layer on the slab substrate through an integrated spraying process. Combined with a rationally proportioned spraying slurry and precise process parameters, this achieves uniform heat distribution on the slab countertop. In conjunction with multi-location high-precision temperature monitoring and ambient temperature compensation, as well as countertop temperature uniformity control logic, it can automatically adapt to the target temperature based on the ambient temperature, balance the temperature of different areas of the countertop, and remember frequently used user temperatures, improving ease of use and comfort. Simultaneously, through dual temperature threshold monitoring, it promptly reduces power or cuts off power and triggers an alarm when the temperature is abnormal, ensuring safe use. Dynamically adjusting the energy consumption parameters of the heating module, combined with a grid voltage fluctuation adaptation mechanism, achieves energy saving and stable power output. Furthermore, the composite insulation layer reduces heat loss, further improving energy efficiency. The dual touch and voice interaction methods and operation feedback design also make user operation more convenient and intuitive.

[0029] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent coffee table system with integrated graphene-sprayed heated rock panel, characterized in that, include: The heating rock panel consists of a rock panel, a heating module, and an insulation layer. The heating rock panel is coated with a graphene heating layer on the surface of the rock panel substrate through an integrated spraying process. The heat generated by the graphene heating layer after the heating module is powered on is conducted to the rock panel substrate to form a rock panel substrate surface with uniform heat distribution. The sensing module is used to collect table surface temperature data and ambient temperature data in real time, and convert the collected temperature data into electrical signals; The control module is used to receive the electrical signal output by the sensing module, perform logical operations on the electrical signal based on the preset temperature control logic to generate a temperature adjustment command, and then transmit the temperature adjustment command to the heating module to regulate the heating power of the heating rock plate. The protection module is used to set the temperature threshold and monitor the surface temperature of the heating rock plate in real time. When the monitored temperature exceeds the preset temperature threshold, it outputs a power-off signal or a power reduction signal to the heating module. The optimization module is used to monitor the real-time energy consumption data of each heating module and dynamically adjust the energy consumption output parameters of the heating module based on the temperature adjustment command output from the control module. The interaction module is used to receive temperature adjustment operations performed by the user on the smart coffee table control panel in real time, convert the operation content into control commands and transmit them to the control module; Among them, no fewer than six non-contact temperature sensors are installed on the symmetrical area of ​​the tabletop and the outer side of the table shell of the smart coffee table. The combination of all non-contact temperature sensors constitutes the sensing module. The integrated spraying process specifically includes the following steps: Step 1: Sandblasting, degreasing, and drying are performed on the upper surface of the rock slab substrate to achieve a surface roughness of Ra3.2μm ~ Ra6.3μm; Step 2: Mix graphene powder, dispersant, film-forming agent and solvent in a mass ratio of 1:(0.2-0.5):(1-1.5):(5-8) to prepare graphene spraying slurry, wherein the dispersant is sodium dodecylbenzene sulfonate, the film-forming agent is water-based epoxy resin and the solvent is deionized water; Step 3: Use a high-pressure airless spraying device to evenly spray the graphene spraying slurry onto the upper surface of the rock slab substrate. The spraying thickness is controlled at 50-100μm. During the spraying process, maintain the vertical distance between the spray gun and the upper surface of the rock slab substrate at 200-300mm and the moving speed at 50-80mm / s. Step 4: Place the sprayed rock slab substrate in a drying oven at 120-150℃ for 2-3 hours to cure. After curing, allow it to cool naturally to room temperature to form the graphene heating layer on the surface of the rock slab.

2. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The heating module includes electrically connected electrode sheets, high-temperature resistant wires, and a temperature control chip. The electrode sheets are bonded to both ends of the graphene heating layer by a conductive adhesive, and the area of ​​the electrode sheets is not less than 80% of the area of ​​the end faces of the graphene heating layer.

3. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The non-contact temperature sensor is an infrared temperature sensor, and all infrared temperature sensors have a measurement accuracy of not less than ±0.5℃ and a response time of less than 0.5s. The infrared temperature sensors of the symmetrical area of ​​the smart coffee table are distributed in a mirror image along the center line of the table surface. The distance between two adjacent infrared temperature sensors on the table surface is 150-200mm, and the detection range of all infrared temperature sensors on the table surface covers the entire heating rock slab. The infrared temperature sensor on the outside of the coffee table shell is located at 1 / 2 to 2 / 3 of the height of the shell and is evenly distributed along the circumference of the shell. The sensing module also includes a signal filtering unit, which performs low-pass filtering on the acquired temperature electrical signal to filter out interference signals with frequencies higher than 50Hz.

4. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The preset temperature control logic in the control module includes: Ambient temperature compensation logic: When the ambient temperature collected by the sensing module is lower than 15℃, the control module automatically increases the target table temperature set by the user by 3-5℃; when the ambient temperature is higher than 25℃, it automatically decreases the target table temperature by 2-3℃. Tabletop temperature uniformity control logic: The control module compares the temperature data collected by the infrared temperature sensor in each tabletop area in real time, and calculates the maximum temperature difference. If the maximum temperature difference exceeds the preset temperature difference, it outputs an instruction to increase the power to the heating module corresponding to the lower temperature area and an instruction to decrease the power to the heating module corresponding to the higher temperature area, until the maximum temperature difference is less than or equal to the preset temperature difference. User-set temperature memory logic: The control module has a built-in storage unit that iteratively stores the table surface temperature value set by the user in the last 3 times and the corresponding usage time. When the smart coffee table is restarted and the user does not perform a new temperature adjustment operation, the control module automatically calls the historical set temperature with the longest usage time as the initial target temperature. After generating a temperature adjustment command, the control module transmits the command to each heating module sequentially at time intervals of 100-200ms.

5. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The temperature threshold of the protection module includes a safety upper limit threshold and a warning threshold, wherein the safety upper limit threshold is set to 60℃ and the warning threshold is set to 50℃. The monitoring locations of the protective module for the heated rock slab include the central area of ​​the rock slab base surface, the four corner areas, and the connection between the rock slab base and the coffee table shell. When the protection module detects that the temperature at any location has reached the warning threshold, it immediately outputs a power reduction signal to the corresponding heating module, reducing the power of the heating module by 20%-30%. If the temperature at this location continues to rise and reaches the safety upper limit threshold within 5-10 seconds after the power reduction, the protection module will output a power-off signal to all heating modules and transmit a fault indication electrical signal to the interaction module, triggering the built-in audible and visual alarm function of the interaction module.

6. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The real-time energy consumption data of the heating modules monitored by the optimization module includes the working voltage, working current and power consumption per unit time of each heating module. The optimization module also has a built-in energy consumption benchmark database, which stores the standard energy consumption parameters of each heating module under different ambient temperatures and different target tabletop temperatures. When the optimization module dynamically adjusts the energy consumption output parameters of the heating module, it follows the following: Calculate the difference between the real-time power consumption per unit time and the corresponding standard energy consumption parameter. If the difference exceeds 10% of the standard energy consumption parameter, adjust the working current of the heating module so that the real-time power consumption returns to the range of ±5% of the standard energy consumption parameter. Based on the output of the table surface temperature uniformity control logic, when the table surface temperature in any area is 2°C or more lower than the target table surface temperature, and the real-time energy consumption parameter of the heating module in that area is within ±5% of the standard energy consumption parameter, the duty cycle of the pulse width modulation signal of the heating module is increased by 10%-20% in the range of 50%-100%, while the working voltage is controlled to be stable within ±2% of the rated working voltage. When the sensing module detects that the grid voltage fluctuation exceeds ±10%, the optimization module automatically adjusts the operating current or duty cycle of the heating module to ensure that the actual output power of the heating module deviates from the power required by the control module command by no more than 5%. During the process of adjusting the energy consumption output parameters, the optimization module collects the table surface temperature data and energy consumption parameters of the heating module in each area every 50-100ms. It also continuously corrects the output command based on the deviation between the collected data and the target parameters, so that the overall temperature fluctuation of each area on the surface of the heating rock plate is controlled within ±1℃.

7. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The smart coffee table control panel in the interactive module includes a touch-sensitive operation panel and a voice control unit. The touch-sensitive operation panel is a capacitive touch-sensitive operation panel. User temperature adjustment methods include: Enter the specific temperature value within the range of 5-60℃ directly on the touch control panel; Select one of the three preset temperature settings on the touch control panel: hand warming setting (25-30℃), low heat setting (30-40℃), and high heat setting (40-50℃). Input voice commands via the voice control unit; The touch panel displays the current tabletop temperature and ambient temperature in real time, and provides feedback to the user on the adjustment result through a pop-up window or voice prompt after each temperature adjustment command is executed.

8. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The insulation layer of the heating rock slab is a composite structure, including an inner rock wool insulation layer and an outer aluminum foil reflective layer; The rock wool insulation layer has a thickness of 20-30mm and a bulk density of 100-120kg / m³. 3 The thermal conductivity is not greater than 0.04 W / (m·K), the thickness of the aluminum foil reflective layer is 0.1-0.2 mm, and the aluminum foil surface is anodized with a reflectivity of not less than 90%. The insulation layer is bonded to the lower surface of the rock slab substrate by a high-temperature resistant silicone adhesive. The adhesive coating thickness is 0.5-1mm, and the coating area covers more than 95% of the lower surface of the rock slab. An annular heat-insulating sealing strip is provided between the edge of the insulation layer and the edge of the heating module. The upper limit of the temperature resistance of the sealing strip is not less than 200℃, and the heat-insulating sealing strip is bonded to the edge of the insulation layer, the edge of the heating module, and the inner wall of the coffee table shell by pressing.

9. The intelligent coffee table system with integrated graphene-sprayed heated rock panel according to claim 1, characterized in that, The sensing module is electrically connected to the control module via a dielectric, the control module is electrically interconnected with the protection module via a dielectric, the protection module is electrically interconnected with the optimization module and the interaction module via a dielectric, and the optimization module and the interaction module are electrically interconnected with the control module via a dielectric.

10. A control method for an integrated graphene-coated heated rock panel smart coffee table, wherein the method is an implementation method of an integrated graphene-coated heated rock panel smart coffee table system as described in any one of claims 1-9, characterized in that... include: A graphene heating layer is deployed on the treated rock slab using an integrated spraying process, and then combined with an insulation layer and a heating module to form a heated rock slab with uniform heat distribution. A sufficient number of temperature sensing elements are installed on the symmetrical area of ​​the coffee table and the outside of the casing to collect the table surface and ambient temperature in real time and convert them into electrical signals. Based on the ambient temperature, the uniformity of the table surface temperature, and the user's historical temperature settings, the collected electrical signals are processed to generate temperature adjustment commands, thereby regulating the power of the heating plate. The system presets a warning temperature threshold and a safe upper temperature threshold, monitors the temperature of key locations on the heating rock slab in real time, reduces power when the warning threshold is exceeded, and cuts off power and triggers an alarm when the safe upper temperature threshold is exceeded. Monitor the operating voltage, current and power consumption per unit time of each heating module, compare with the parameters in the energy consumption benchmark database, adjust the operating current or pulse width modulation signal duty cycle, and control the temperature fluctuation range. Equipped with a touch-screen control panel and voice control unit, it supports temperature value input, gear selection and voice command operation, and displays temperature data in real time and provides feedback on adjustment results.

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