Intelligent heating system and method

Abstract

The invention provides an intelligent heating system and method, and the system comprises a heating module which is used for executing a heating function; the environment sensing module is used for sensing environment information; the alarm module is used for giving an alarm when the rising rate or the falling rate of the environment temperature is larger than a preset warning threshold value; the control module is used for obtaining the heating performance of the room, determining the heating power according to the heating performance and the environment information, determining a first expected temperature changing time curve of the temperature adjusting process, and determining a first actual temperature changing time curve according to the second indoor temperature; if a first temperature change error between the first actual temperature change time curve and the first expected temperature change time curve is larger than a temperature change qualified threshold value, the heating performance is adjusted; when the first temperature change error is larger than a safe temperature change threshold value, the alarm module is controlled to give an alarm; according to the system, the safety and reliability of the heating system can be enhanced, and potential safety hazards possibly caused by abnormal temperature change are avoided.

Description

Technical Field

[0001] This application relates to, but is not limited to, the field of intelligent heating system technology, and particularly to an intelligent heating system and method. Background Technology

[0002] Traditional heating systems typically operate according to a fixed program or set temperature, lacking real-time sensing and intelligent analysis of the controlled room's environmental information. The system cannot detect changes in the room's condition based on environmental data. Instead, it uses a pre-set PID (Proportional Integral Derivative) control system to turn the heating on and off based on whether the indoor temperature reaches the preset value. When the indoor temperature is lower than the preset temperature, the system starts at its rated power to raise the temperature, only stopping when the heat has diffused and the detected indoor temperature exceeds the preset temperature. This results in significant fluctuations in indoor temperature, reducing user comfort and wasting energy. Summary of the Invention

[0003] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of the claims.

[0004] This application provides an intelligent heating system and method that enhances the safety and reliability of the heating system and avoids potential safety hazards caused by abnormal temperature changes.

[0005] To achieve the above objectives, a first aspect of this application proposes an intelligent heating system, comprising: a heating module for performing heating functions; an environmental sensing module for sensing environmental information within a controlled room; an alarm module for triggering an alarm when the rate of increase or decrease in ambient temperature exceeds a preset warning threshold; and a control module, wherein the heating module, the environmental sensing module, and the alarm module are electrically connected to the control module, and the control module is configured to acquire the room's heating performance, determine the heating power of the heating module based on the heating performance and the environmental information, and determine a first desired temperature change time curve from a first indoor temperature acquired in real time to a first target temperature, and determine a first actual temperature change time curve based on a second indoor temperature acquired during the temperature adjustment process; compare the first actual temperature change time curve with the first desired temperature change time curve, and if a first temperature change error between the first actual temperature change time curve and the first desired temperature change time curve exceeds a preset temperature change qualification threshold, adjust the heating performance; wherein, when the first temperature change error exceeds a preset safe temperature change threshold, the control module controls the alarm module to trigger an alarm.

[0006] In some embodiments, the system further includes an instruction receiving module electrically connected to the control module. The instruction receiving module provides an interactive interface for acquiring the temperature reaching time point, the end time point, and the first target temperature. The temperature reaching time point represents the expected time to adjust the first indoor temperature to the first target temperature, and the end time point represents the time when the heating module stops operating.

[0007] In some embodiments, the control module determines the heating power based on the first indoor temperature, determines the heating time required to adjust from the first indoor temperature to the first target temperature based on the heating power and the heat transfer performance, determines the start-up time of the heating module based on the heating time and the temperature reaching time, and the heating module starts heating at the start-up time with the heating power as a constant operating power.

[0008] In some embodiments, the system further includes an electricity price acquisition module, which is used to acquire an electricity price change time curve within a temperature adjustment cycle, determine an electricity price change point in the electricity price change time curve, and if the electricity price increases before and after the electricity price change point, and the electricity price change point is between the temperature reaching time point and the start-up time point, the start-up time point and the heating power are adjusted according to the time difference between the electricity price change point and the temperature reaching time point.

[0009] In some embodiments, the system further includes an energy storage module, which is used to store energy using mains power and to supply power to the heating module. If the electricity price increases before and after the price change point, the system controls the energy storage module to supply power to the heating module after the price change point.

[0010] In some embodiments, a timing receiving module is further included. The timing receiving module is electrically connected to the control module. The timing receiving module is used to locate and obtain the timing, and to adjust the temperature reaching time point and the end time point through the timing.

[0011] In some embodiments, a mode conversion module is further included. The mode conversion module is electrically connected to the control module. The mode conversion module is used to receive a mode conversion command, determine a temperature variation compensation coefficient based on the heating performance, the real-time third indoor temperature and the second target temperature in the mode conversion command, determine the temperature variation power of the heating module based on the temperature variation compensation coefficient, control the heating module to operate at the temperature variation power, and smoothly adjust the third indoor temperature to the second target temperature.

[0012] In some embodiments, the environmental sensing module includes multiple temperature sensors arranged at multiple locations within the room. Each temperature sensor is used to acquire the point temperature at its respective location. The control module acquires a three-dimensional layout map of the room, which is marked with the location of the air outlet of the heating module, the airflow direction, and the locations of the temperature sensors. The control module performs a fluid diffusion simulation on the air discharged from the heating module, determines a first weight for the point temperature of each temperature sensor based on the simulation results, and weights the point temperatures according to the first weight to obtain the first indoor temperature.

[0013] To achieve the above objectives, a second aspect of this application proposes an intelligent heating method applied to the intelligent heating system described in the first aspect. The intelligent heating method includes: acquiring room heating performance and environmental information; determining the heating power of the heating module and a first desired temperature change time curve from a first indoor temperature obtained in real-time to a first target temperature based on the heating performance and environmental information; determining a first actual temperature change time curve based on a second indoor temperature obtained during the temperature adjustment process; comparing the first actual temperature change time curve with the first desired temperature change time curve; adjusting the heating performance if a first temperature change error between the first actual temperature change time curve and the first desired temperature change time curve is greater than a preset temperature change qualification threshold; and triggering an alarm when the first temperature change error is greater than a preset warning threshold.

[0014] In some embodiments, the intelligent heating method further includes: when the duration of no control command received is greater than a preset silent duration threshold, acquiring the fourth indoor temperature in real time; if the fourth indoor temperature is less than or equal to a preset protection temperature threshold, determining the protection power based on the heating performance and the protection temperature threshold, and controlling continuous operation at the protection power.

[0015] According to the solution provided in this application embodiment, by setting an environmental sensing module, the environmental information in the room can be obtained in real time. The control module can accurately determine the heating power of the heating module and the first desired temperature change time curve based on the room's heating performance and environmental information, thereby achieving refined control of the heating process, improving heating efficiency, and effectively avoiding overheating or underheating. During the temperature adjustment process, the first actual temperature change time curve is determined by the real-time collected second indoor temperature and compared with the first desired temperature change time curve. When the first temperature change error is greater than the preset temperature change qualification threshold, the deviation in the temperature change process can be detected in time, and the heating performance can be adjusted, thereby ensuring the accuracy of the temperature change process and avoiding energy waste caused by improper temperature adjustment. This system improves energy efficiency, ensures stable operation of the heating system and precise temperature control, and enhances indoor comfort. When the first temperature fluctuation error exceeds the preset safe temperature threshold, the control module activates the alarm module to alert the user, promptly notifying them of potential abnormalities in the heating system or adverse changes in the external environment. This prompts the user to take appropriate measures, enhancing the safety and reliability of the heating system and effectively preventing potential safety hazards caused by abnormal temperature changes. The alarm module can also trigger an alarm when the rate of increase or decrease in ambient temperature exceeds the preset warning threshold, allowing for early detection of factors that may lead to abnormal temperature changes. This further improves the early warning capability of the heating system, ensuring the stability and safety of the indoor environment.

[0016] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0017] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0018] Figure 1 This is a schematic diagram of an optional structure of the intelligent heating system provided in an embodiment of this application; Figure 2 This is another optional structural schematic diagram of the intelligent heating system provided in the embodiments of this application; Figure 3 A schematic diagram of an optional process for an intelligent heating method provided in an embodiment of this application; Figure 4 This is a schematic diagram of another optional process for the intelligent heating method provided in the embodiments of this application; Figure 5This is a schematic diagram of an optional structure of the intelligent heating control device provided in the embodiments of this application; Figure 6 This is a schematic diagram of an optional hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0019] This section will describe in detail the specific embodiments of this application. Preferred embodiments of this application are shown in the accompanying drawings. The purpose of the drawings is to supplement the textual description with graphics, so that people can intuitively and vividly understand each technical feature and the overall technical solution of this application, but they should not be construed as limiting the scope of protection of this application.

[0020] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0021] In the description of this application, "several" means one or more, "multiple" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0022] It should be noted that in various specific embodiments of this application, when processing data related to the characteristics of the target object, such as target object attribute information or attribute information sets, is required, the permission or consent of the target object will be obtained first. Furthermore, the collection, use, and processing of this data will comply with relevant laws, regulations, and standards. The target object can be a user. In addition, when embodiments of this application need to obtain target object attribute information, separate permission or consent from the target object will be obtained through pop-ups or redirection to a confirmation page. Only after obtaining the target object's separate permission or consent will the necessary target object-related data for the normal operation of the embodiments of this application be obtained.

[0023] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "electrical connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0024] Currently, heating systems simply use a preset PID control system to turn the heating equipment on or off based on whether the indoor temperature has reached a preset fixed temperature value. When the indoor temperature is lower than the preset temperature, the heating system starts at its rated power to raise the indoor temperature. It only stops heating when the heat diffuses and the detected indoor temperature is higher than the preset temperature. This causes significant fluctuations in indoor temperature, which not only reduces the user's comfort but also wastes energy.

[0025] To address the problem of significant fluctuations in indoor temperature caused by using a preset PID control system to turn heating equipment on or off, this application provides an intelligent heating system and method. The solution provided by the embodiments of this application can enhance the comfort and reliability of the heating system and avoid potential safety hazards caused by abnormal temperature changes.

[0026] The intelligent heating system and method provided in this application are specifically described through the following embodiments. First, the intelligent heating system in the embodiments of this application is described.

[0027] The embodiments of this application will be further described below with reference to the accompanying drawings.

[0028] Reference Figures 1 to 2 One embodiment of this application provides an intelligent heating system, comprising: Heating module 100 is used to perform heating functions; The environmental sensing module 200 is used to sense environmental information within the controlled room; The alarm module 300 is used to issue an alarm when the rate of increase or decrease of the ambient temperature exceeds a preset warning threshold. The control module 400, heating module 100, environmental sensing module 200, and alarm module 300 are electrically connected to the control module 400. The control module 400 is used to acquire the room's heating performance, determine the heating power of the heating module 100 based on the heating performance and environmental information, and determine the first expected temperature change time curve from the first indoor temperature acquired in real time to the first target temperature. It also determines the first actual temperature change time curve based on the second indoor temperature acquired during the temperature adjustment process. The first actual temperature change time curve is compared with the first expected temperature change time curve. If the first temperature change error between the first actual temperature change time curve and the first expected temperature change time curve is greater than the preset temperature change qualification threshold, the heating performance is adjusted. When the first temperature change error exceeds the preset safe temperature change threshold, the control module 400 controls the alarm module 300 to issue an alarm.

[0029] It is understood that the intelligent heating system proposed in this application embodiment, through the setting of an environmental sensing module 200, acquires real-time environmental information in the room. The control module 400 can accurately determine the heating power of the heating module 100 and the first desired temperature change time curve based on the room's heating performance and environmental information, thereby achieving refined control of the heating process, improving heating efficiency, effectively avoiding overheating or underheating, and saving energy. During the temperature adjustment process, the first actual temperature change time curve is determined by the real-time collected second indoor temperature and compared with the first desired temperature change time curve. When the first temperature change error is greater than the preset temperature change qualification threshold, the deviation in the temperature change process can be detected in time, and the heating performance can be adjusted, thereby ensuring the accuracy of the temperature change process, avoiding energy waste caused by improper temperature adjustment, and improving energy efficiency. By improving efficiency, the heating system can operate stably and maintain precise indoor temperature control, enhancing indoor comfort. When the first temperature fluctuation error exceeds the preset safe temperature fluctuation threshold, the control module 400 controls the alarm module 300 to sound an alarm, promptly alerting the user to potential abnormalities in the heating system or adverse changes in the external environment. This prompts the user to take appropriate measures, enhancing the safety and reliability of the heating system and effectively preventing potential safety hazards caused by abnormal temperature changes. The alarm module 300 can also sound an alarm when the rate of increase or decrease in ambient temperature exceeds the preset warning threshold, allowing for early detection of factors that may lead to abnormal temperature changes, such as malfunctions in the heating elements of the heating system or a sudden drop in the building's insulation performance. This further improves the early warning capability of the heating system, ensuring the stability and safety of the indoor environment.

[0030] The heating performance represents the heating capacity of the heating module 100 to the room at its rated power, obtained from experimental results. During continuous use, the control module 400 adjusts the heating performance based on actual temperature detection. Upon initial startup, the heating module 100 starts at its rated power, using PID control mode to control its operating power. The control module 400 determines the heating performance based on indoor temperature changes during the adjustment process. Upon restarting the heating system, the control module 400 adjusts the power and startup time of the heating module 100 based on the heating performance to ensure a smooth temperature change in the room. The control module 400 also adjusts the heating performance based on temperature changes detected during the temperature adjustment process.

[0031] After the heating module 100 is started, and before the temperature reaches the first target temperature, the control module 400 uses an environmental sensing module to acquire and identify the second indoor temperature at a preset frequency. Based on the second indoor temperature, a first actual temperature change time curve is plotted, where the independent variable of the first actual temperature change time curve is the temperature adjustment time, and each temperature adjustment time corresponds to the measured second indoor temperature. When the heating module 100 is started, the control module 400 determines a first expected temperature change time curve based on the heating performance and environmental information. Its independent variable is the temperature adjustment time, and each temperature adjustment time corresponds to the predicted expected temperature. By comparing the second indoor temperature on the first actual temperature change time curve with the expected temperature on the expected temperature change curve, the first temperature change error can be obtained.

[0032] Optionally, the specific calculation method for the first temperature variation error can be determined by using root mean square error, absolute error, maximum absolute error, similarity error, and curve similarity. The qualified temperature variation threshold is determined by the calculation method of the first temperature variation error, the preliminary experimental results, and the temperature variation accuracy requirements.

[0033] After obtaining a new second indoor temperature, the control module 400 updates the first actual temperature change time curve, calculates the first temperature change error using the first expected temperature change time curve and the first actual temperature change curve of the same length, and adjusts the heating power in a timely manner when the first temperature change error is abnormal.

[0034] When the intelligent heating system is in standby mode or the heating function is activated, the environmental sensing module 200 continuously monitors environmental information in real time. When the intelligent heating system is in standby mode, the indoor temperature should show a slow downward trend. However, if the environmental sensing module 200 detects a sudden drop in indoor temperature, and the absolute value of its rate of drop exceeds a predetermined warning threshold, it indicates that the room may be experiencing severe temperature loss, or that doors and windows may have suddenly broken or been accidentally opened. In this case, the alarm module 300 will activate the alarm program to attract the user's attention. Similarly, if the environmental sensing module 200 detects a sharp rise in indoor temperature, and the absolute value of the rate of rise exceeds the warning threshold, it indicates that other electrical appliances may have started abnormally, or even caused an emergency such as a fire. In this case, the alarm module 300 will also issue an alarm to increase the user's awareness of abnormal indoor conditions and ensure that appropriate measures are taken in a timely manner to prevent potential dangers.

[0035] When the intelligent heating system starts operating, the change in indoor temperature is predictable assuming the room remains stable. If the first temperature change error between the first actual temperature change time curve and the first expected temperature change time curve exceeds the predetermined temperature change qualification threshold, it indicates that the room's heating performance may have changed. This may be because the actual heating power cannot meet the room's heating needs, or the heating power exceeds the actual needs, resulting in energy waste and affecting the user experience. At this time, the control module 400 needs to update and optimize the heating performance according to the first actual temperature change time curve and the current heating power to ensure the efficient operation of the heating system and the user experience.

[0036] Furthermore, if the first temperature fluctuation error exceeds the predetermined safe temperature fluctuation threshold, it means that there may be a serious problem of temperature loss or abnormal temperature rise in the room, which may pose a significant threat to the safety of people and property in the room. Therefore, the system will issue an alarm through the alarm module 300 to remind the user to pay attention to the indoor situation immediately, take necessary measures to ensure safety, and effectively avoid possible losses and dangers.

[0037] In addition, in some embodiments of this application, the intelligent heating system further includes an instruction receiving module 500, which is electrically connected to the control module 400. The instruction receiving module 500 provides an interactive interface for obtaining the temperature reaching time point, the end time point, and the first target temperature.

[0038] In the intelligent heating system, the instruction receiving module 500 includes, but is not limited to: a remote controller, which allows users to operate and control the system from a certain distance; a control panel fixedly installed on the room wall, which allows users to conveniently send instructions from within the room; and a remote communication component integrated into the intelligent heating system, which can establish a stable communication connection with intelligent devices (such as smartphones, tablets, etc.) with dedicated applications installed, enabling users to remotely monitor and operate the intelligent heating system.

[0039] Users can set the temperature reach time, end time, and first target temperature through the interactive interface. The temperature reach time indicates the moment when the indoor temperature is adjusted to the first target temperature; the end time refers to the point at which the heating module 100 stops heating operation. After the user determines the temperature reach time, the control module 400 calculates the theoretical heating time required to adjust the initial indoor temperature to the first target temperature based on the first desired temperature change time curve. Then, based on this heating time and the temperature reach time, it calculates the start time of the heating module 100. Specifically, the start time equals the temperature reach time minus the heating time, thus ensuring that the indoor temperature reaches the preset target temperature at the expected time.

[0040] The control module 400 determines the heating power required to achieve the target indoor temperature based on the real-time monitored first indoor temperature using a preset heating power calculation model. Furthermore, combining the determined heating power with heat transfer performance, it calculates the necessary heating time to adjust the current indoor temperature to the first target temperature. Finally, based on this heating time and the user-set temperature-reaching time, the start-up time of the heating module 100 is calculated. Upon reaching the start-up time, the heating module 100 operates at a constant heating power, ensuring the indoor temperature rises smoothly according to the preset heating rate and time curve until the first target temperature is precisely reached at the set temperature-reaching time. This achieves precise control of room temperature regulation and energy-efficient operation, improving user comfort and optimizing energy utilization efficiency.

[0041] In addition, in some embodiments of this application, the intelligent heating system further includes an electricity price acquisition module 600. The electricity price acquisition module 600 is used to acquire the electricity price change time curve within the temperature adjustment cycle, determine the electricity price change point in the electricity price change time curve, and if the electricity price increases before and after the electricity price change point, and the electricity price change point is between the temperature reaching time point and the start-up time point, the start-up time point and heating power are adjusted according to the time difference between the electricity price change point and the temperature reaching time point.

[0042] In the operation strategy of the intelligent heating system proposed in this application embodiment, a response mechanism for electricity price fluctuation information is introduced. The intelligent heating system acquires and analyzes electricity price information in real time within a preset time interval before the set temperature reaching time point. The temperature adjustment cycle proposed in this application embodiment can be from the start time point to the end time point, or it can be 24 hours of the day. By identifying and evaluating the electricity price fluctuation pattern, the system can intelligently adjust the heating power output strategy from the start time point of regulation to the temperature reaching time point.

[0043] When a trend of electricity price fluctuations transitioning from high to low levels is detected, the heating module 100 initiates a preheating program with low heating power during the initial control phase, causing the indoor temperature to rise slowly. Once the electricity price drops to a lower level, the heating power is recalculated based on the remaining time and the real-time indoor temperature.

[0044] Conversely, if the electricity price trend is from low to high, the system prioritizes efficient heating during periods of low electricity prices. During this phase, the heating module 100 operates at high power to rapidly increase the indoor temperature. Simultaneously, the control module 400 calculates the time difference between the electricity price increase and the time the temperature is reached, predicting the indoor temperature drop due to factors such as natural heat dissipation during this period. Based on this prediction, the system can determine the specific indoor temperature that should be reached at the electricity price increase point, ensuring that during subsequent periods of high electricity prices, by reducing heating power or even maintaining low power operation, the indoor temperature can still reach the preset target value at the time the temperature is reached.

[0045] In addition, in some embodiments of this application, the intelligent heating system further includes an energy storage module 700, which is used to store energy using mains power and to supply power to the heating module 100. If the electricity price increases before and after the price change point, the energy storage module 700 is controlled to supply power to the heating module 100 after the price change point.

[0046] In the smart heating system, the energy storage module 700 mainly stores energy during off-peak load periods when the grid load is low. In the electricity price change time curve, if the electricity price shows an upward trend before and after the price change point, then after the price change point, the energy storage module 700 will provide power to the heating module 100.

[0047] The energy storage module 700 is integrated into the intelligent heating system and includes an energy storage medium, a power conversion device, and a related monitoring and management system. The energy storage medium can be a high-efficiency energy storage device such as a lithium-ion battery, a flow battery, or a supercapacitor; the power conversion device is responsible for converting the mains power into DC power suitable for charging the energy storage module 700, and converting the DC power stored in the energy storage module 700 into AC power suitable for use by the heating module 100; the monitoring and management system is used to monitor the voltage, current, temperature, and other parameters of the energy storage module 700 in real time to ensure the safe and stable operation of the energy storage module 700, and to control charging and discharging according to the instructions of the control module 400.

[0048] The control module 400 determines the charging and discharging periods of the energy storage module 700 based on the electricity price change time curve. Typically, charging periods correspond to periods with low electricity prices, while discharging periods are matched with periods with high electricity prices. During the charging period, the control module 400 monitors the energy storage module 700's stored capacity in real time. When the stored capacity exceeds a preset charging threshold, the energy storage module 700 does not need to be charged; however, when the stored capacity falls below the charging threshold, the control module 400 controls the energy storage module 700 to charge from the mains power grid to ensure that the energy storage module 700 can provide sufficient power in the next discharging period. If the discharging period coincides with the start-up period of the heating module 100, the control module 400 instructs the energy storage module 700 to provide power to the heating module 100.

[0049] The control module 400 determines whether the current electricity price period is characterized by low or high electricity prices by monitoring the electricity price change time curve in real time. It should be noted that "low" and "high" electricity prices do not refer to a specific price value, but rather describe the rise and fall of electricity prices within the time curve. During periods of low electricity prices, the control module 400 compares the real-time stored capacity of the energy storage module 700 with a preset charging threshold to determine whether to initiate the charging process of the energy storage module 700. If the stored capacity is sufficient, the energy storage module 700 remains in standby mode; if the stored capacity is insufficient, the control module 400 instructs the energy storage module 700 to charge from the mains power supply, ensuring that the energy storage module 700 can provide power support to the heating module 100 during periods of high electricity prices.

[0050] During periods of high electricity prices, if this period coincides with the start-up period of the heating module 100, the control module 400 will control the energy storage module 700 to supply power to the heating module 100. Therefore, the energy storage module 700 and its control process proposed in this application embodiment realize an optimized operation mode of storing electrical energy during periods of low electricity prices and releasing electrical energy during periods of high electricity prices, effectively reducing the operating cost of the system.

[0051] In one specific implementation, when the intelligent heating system is equipped with an energy storage module 700, the heating module 100 can operate without relying on complex calculations and methods for pre-start. Before the point of electricity price increase, the heating module 100 can be directly powered by the mains electricity; after the point of electricity price increase, it is powered by the energy storage module 700.

[0052] Furthermore, the energy storage module 700 can store energy during off-peak hours when the grid load is low, which helps with peak shaving and valley filling, improving the stability and reliability of the grid. On the other hand, in the event of a grid failure or unstable power supply, the energy storage module 700 can serve as a backup power source to provide temporary power support to the heating module 100, ensuring stable indoor temperature and improving system reliability and safety. In addition, by rationally configuring the capacity and charging / discharging strategy of the energy storage module 700, the overall performance of the heating module 100 can be further optimized, achieving efficient energy utilization and effective cost control.

[0053] In addition, in some embodiments of this application, the intelligent heating system further includes a timing receiving module 800, which is electrically connected to the control module 400. The timing receiving module 800 is used to locate and obtain the timing, and to adjust the temperature reaching time and end time through the timing.

[0054] In this embodiment of the application, with the user's authorization, the time receiving module 800 has a positioning function, and the control module 400 performs positioning through the time receiving module 800. In areas using daylight saving time or winter time mechanisms, when entering daylight saving time or winter time of the year, the control module 400 adjusts the operating time of the heating system according to the specific time rules of the current area.

[0055] When daylight saving time begins, local time is advanced, and businesses may need to start work earlier. Employees may need to arrive at their workstations earlier. Control module 400 automatically reconfigures the start-up, temperature-reaching, and end-of-day times of heating module 100 based on the local daylight saving time rules to ensure indoor temperatures remain within a comfortable range during user activities. For example, if a business originally set heating to start at 8:00 AM standard time, this time will be adjusted to one hour earlier during daylight saving time.

[0056] The control module 400, utilizing the positioning function of the time-switching module, adjusts the operating time of the heating system accordingly in areas adopting daylight saving time or winter time, based on the specific time rules of the current region. When daylight saving time is implemented, users' daily routines change compared to standard time. The start-up, temperature-reaching, and end-of-day times of the heating module 100 should also be adjusted accordingly. Furthermore, with the implementation of daylight saving time, employees' working hours may be earlier; therefore, the start-up, temperature-reaching, and end-of-day times of the heating module 100 should also be advanced to match these adjustments. Through this automatic adjustment mechanism, the intelligent heating system can better adapt to the changes in user schedules caused by seasonal changes, thereby achieving indoor temperature control that meets their lifestyle requirements.

[0057] In addition, in some embodiments of this application, the intelligent heating system further includes a mode conversion module 900, which is electrically connected to the control module 400. The mode conversion module 900 is used to receive mode conversion instructions, determine a temperature variation compensation coefficient based on the heating performance, the real-time third indoor temperature and the second target temperature in the mode conversion instructions, determine the temperature variation power of the heating module 100 based on the temperature variation compensation coefficient, and control the heating module 100 to operate at the temperature variation power to smoothly adjust the third indoor temperature to the second target temperature.

[0058] The user sends a mode conversion command to the intelligent heating system via the command receiving module 500. The mode conversion module 900, based on the room's heating performance, the real-time monitored third indoor temperature, and the second target temperature included in the mode conversion command, calculates the temperature variation compensation coefficient using a thermodynamic model and control algorithm. Furthermore, the mode conversion module 900 sets the temperature variation power of the heating module 100 according to the determined temperature variation compensation coefficient, precisely regulating the operation of the heating module 100 to ensure that the third indoor temperature can stably transition to the second target temperature along a preset smooth curve.

[0059] After determining the temperature change compensation coefficient, the mode conversion module 900 calculates the temperature change power required by the heating module 100 at the current third indoor temperature, and simulates the process of adjusting the room from the third indoor temperature to the second target temperature based on the temperature change power, generating a second desired temperature change time curve. During the entire temperature adjustment process, the mode conversion module 900 monitors the change trend of the third indoor temperature in real time, collects the third indoor temperature at a preset frequency, determines the second actual temperature change time curve, and calculates the second temperature change error between the second actual temperature change time curve and the second desired temperature change time curve by combining the second desired temperature change time curve, and dynamically adjusts the operating status of the heating module 100.

[0060] Optionally, the specific calculation method for the second temperature variation error can be determined by the root mean square error, absolute error, maximum absolute error, similarity error, and curve similarity, without any specific restrictions.

[0061] Understandably, when a user adjusts the target temperature during the temperature regulation process of the heating module 100, the calculated temperature change power allows the indoor temperature to gradually approach and eventually stabilize at the second target temperature along a smooth temperature change path. This effectively avoids discomfort to the user caused by excessive temperature fluctuations or overly drastic adjustment processes. It also reduces energy waste and equipment wear caused by frequent start-ups and shutdowns of the heating module 100, thereby improving the overall performance of the system and the user experience.

[0062] In addition, in some embodiments of this application, the environmental sensing module 200 includes multiple temperature sensors arranged in multiple locations in the room. The temperature sensors are used to acquire the point temperature at their respective locations. The control module 400 acquires a three-dimensional layout map of the room. The three-dimensional layout map is marked with the location of the air outlet of the heating module 100, the air outlet direction, and the location of the temperature sensors. The control module 400 performs a fluid diffusion simulation on the air discharged by the heating module 100, determines the first weight of the point temperature of each temperature sensor based on the simulation results, and weights the point temperatures according to the first weight to obtain the first indoor temperature.

[0063] In practical applications, the 3D layout diagram is uploaded by the user. After obtaining the 3D layout diagram of the room, the control module 400 uses fluid dynamics simulation technology to simulate the fluid diffusion of the air discharged from the air outlet. Through this simulation, the timing and volume of air flowing through each temperature sensor can be quantified, thereby quantifying the degree of influence of the heating module 100 on the temperature of the spatial points where the temperature sensors are located.

[0064] Based on this, assuming there are three areas in the room, corresponding to the sets "near," "medium," and "far," respectively, representing the distance air travels from the vent to the temperature sensor, the "near," "medium," and "far" values ​​represent the distance air travels from the vent to the temperature sensor. For points in the "medium" set, since their temperature is neither as high as areas near the heat source nor as low as areas far from the heat source, their temperature data is assigned a closer weight in the overall temperature calculation. This balances the temperature differences between different areas in the room, ensuring that the calculated overall temperature does not deviate significantly due to extreme temperatures in certain areas. The control module 400, based on the quantified temperature influence, classifies the spatial points and temperature sensors into the "near," "medium," and "far" sets. Furthermore, points in the "medium" set receive a relatively closer first weight, while points in the "near" and "far" sets receive a correspondingly farther first weight, thus achieving optimized management of room temperature sensing and control.

[0065] Understandably, in practical applications, users can configure the smart heating system based on the actual size of the room and the number of temperature sensors. This allows the system to divide the temperature sensors into more sets, such as 5, 7, or more, assigning different primary weights based on the number of sensors and the data from each set. Users can also manually assign these primary weights based on their own experience. When a user frequently focuses on a specific location in the room, they can assign higher primary weights to temperature sensors at nearby locations. This allows the heating module 100 to prioritize temperature control at that location, improving the user experience. Furthermore, the environmental sensing module 200 can directly use the above method to collect the second and third indoor temperatures, which will not be elaborated upon here.

[0066] In addition, such as Figure 3 As shown in the embodiments of this application, an intelligent heating method is also proposed, including but not limited to the following steps S310 to S330: Step S310: Obtain the room's heating performance and environmental information, determine the heating power of the heating module and the first expected temperature change time curve from the first indoor temperature obtained in real time to the first target temperature based on the heating performance and environmental information, and determine the first actual temperature change time curve based on the second indoor temperature obtained during the temperature adjustment process. Step S420: Compare the first actual temperature change time curve with the first expected temperature change time curve. If the first temperature change error between the first actual temperature change time curve and the first expected temperature change time curve is greater than the preset temperature change qualification threshold, adjust the heating performance. Step S330: When the first temperature change error exceeds the preset warning threshold, an alarm is triggered.

[0067] The above-mentioned intelligent heating method and intelligent heating system are based on the same inventive concept. Therefore, the detailed principles of the above-mentioned steps S810 to S830 can be found in the previous explanation of the intelligent heating system, and will not be repeated here.

[0068] Additionally, refer to Figure 4 As shown, the intelligent heating method proposed in this community embodiment further includes steps S410 to S420: Step S410: When the duration of no control command received is longer than the preset silent duration threshold, the fourth indoor temperature is acquired in real time. In step S420, if the fourth indoor temperature is less than or equal to the preset protection temperature threshold, the protection power is determined based on the heat performance and the protection temperature threshold, and the system is controlled to operate continuously at the protection power.

[0069] Additionally, refer to Figure 5 This application also provides an intelligent heating control device 500, comprising: The acquisition module 501 acquires the room's heat performance and environmental information, determines the heating power of the heating module based on the heat performance and environmental information, and determines the first expected temperature change time curve from the first indoor temperature obtained in real time to the first target temperature, and determines the first actual temperature change time curve based on the second indoor temperature acquired during the temperature adjustment process. The adjustment module 502 compares the first actual temperature change time curve with the first expected temperature change time curve. If the first temperature change error between the first actual temperature change time curve and the first expected temperature change time curve is greater than the preset temperature change qualification threshold, the heating performance is adjusted. The warning module 503 will trigger an alarm when the first temperature change error exceeds the preset warning threshold.

[0070] The aforementioned intelligent heating control device 500 and intelligent heating method are based on the same inventive concept, and will not be described in detail here.

[0071] Additionally, refer to Figure 6 , Figure 6 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes: The processor 601 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 602 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 602 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 602 and called by the processor 601 to execute the intelligent heating method of the embodiments of this application, for example, executing the above-described... Figure 3 Method steps S310 to S330, Figure 4 Method steps S410 to S420; The input / output interface 603 is used to implement information input and output; The communication interface 604 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 605 transmits information between various components of the device (e.g., processor 601, memory 602, input / output interface 603, and communication interface 604); The processor 601, memory 602, input / output interface 603, and communication interface 604 are connected to each other within the device via bus 605.

[0072] This application embodiment also provides a storage medium, which is a computer-readable storage medium for computer-readable storage. The storage medium stores one or more programs, which can be executed by one or more processors to implement the above-described intelligent heating method, for example, executing the above-described... Figure 3 Method steps S310 to S330, Figure 4 Method steps S410 to S420.

[0073] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0074] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0075] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0076] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0077] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0078] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0079] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0080] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0081] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. An intelligent heating system, characterized in that, include: The heating module is used to perform the heating function; The environmental sensing module is used to sense environmental information within the controlled room; The alarm module is used to issue an alarm when the rate of increase or decrease of the ambient temperature exceeds a preset warning threshold. The control module is electrically connected to the heating module, the environmental sensing module, and the alarm module. The control module acquires the room's heating performance, determines the heating power of the heating module based on the heating performance and environmental information, and determines a first desired temperature change time curve from a real-time acquired first indoor temperature to a first target temperature. It also determines a first actual temperature change time curve based on a second indoor temperature acquired during the temperature adjustment process. The control module compares the first actual temperature change time curve with the first desired temperature change time curve. If the first temperature change error between the first actual temperature change time curve and the first desired temperature change time curve is greater than a preset temperature change qualification threshold, the heating performance is adjusted. Specifically, when the first temperature change error exceeds a preset safe temperature change threshold, the control module controls the alarm module to issue an alarm.

2. The intelligent heating system according to claim 1, characterized in that, It also includes an instruction receiving module, which is electrically connected to the control module. The instruction receiving module provides an interactive interface for obtaining the temperature reaching time point, the end time point, and the first target temperature. The temperature reaching time point represents the expected time to adjust the first indoor temperature to the first target temperature, and the end time point represents the time when the heating module stops operating.

3. The intelligent heating system according to claim 2, characterized in that, The control module determines the heating power based on the first indoor temperature, determines the heating time required to adjust from the first indoor temperature to the first target temperature based on the heating power and the heat transfer performance, determines the start-up time of the heating module based on the heating time and the temperature reaching time, and the heating module starts heating at the start-up time with the heating power as a constant operating power.

4. The intelligent heating system according to claim 3, characterized in that, It also includes an electricity price acquisition module, which is used to acquire the electricity price change time curve within the temperature adjustment cycle, determine the electricity price change point in the electricity price change time curve, and if the electricity price before and after the electricity price change point is increasing, and the electricity price change point is between the temperature reaching time point and the start-up time point, the start-up time point and the heating power are adjusted according to the time difference between the electricity price change point and the temperature reaching time point.

5. The intelligent heating system according to claim 4, characterized in that, It also includes an energy storage module, which is used to store energy using mains power and to supply power to the heating module. If the electricity price increases before and after the price change point, the energy storage module is controlled to supply power to the heating module after the price change point.

6. The intelligent heating system according to claim 2, characterized in that, It also includes a timing receiving module, which is electrically connected to the control module. The timing receiving module is used to locate and obtain the timing, and to adjust the temperature reaching time and the end time using the timing.

7. The intelligent heating system according to claim 1, characterized in that, It also includes a mode conversion module, which is electrically connected to the control module. The mode conversion module is used to receive mode conversion instructions, determine a temperature variation compensation coefficient based on the heating performance, the real-time third indoor temperature and the second target temperature in the mode conversion instructions, determine the temperature variation power of the heating module based on the temperature variation compensation coefficient, control the heating module to operate at the temperature variation power, and smoothly adjust the third indoor temperature to the second target temperature.

8. The intelligent heating system according to claim 1, characterized in that, The environmental sensing module includes multiple temperature sensors located at various positions within the room. Each temperature sensor is used to acquire the point temperature at its respective location. The control module acquires a three-dimensional layout map of the room, which is marked with the location of the air outlet of the heating module, the airflow direction, and the positions of the temperature sensors. The control module performs a fluid diffusion simulation on the air discharged from the heating module, determines a first weight for the point temperature of each temperature sensor based on the simulation results, and weights the point temperatures according to the first weight to obtain the first indoor temperature.

9. A smart heating method, characterized in that, The intelligent heating method, applied to the intelligent heating system according to any one of claims 1 to 8, comprises: The heating power of the heating module is determined based on the heating performance and environmental information of the room, as well as the first expected temperature change time curve from the first indoor temperature obtained in real time to the first target temperature. The first actual temperature change time curve is determined based on the second indoor temperature obtained during the temperature adjustment process. The first actual temperature change time curve is compared with the first expected temperature change time curve. If the first temperature change error between the first actual temperature change time curve and the first expected temperature change time curve is greater than the preset temperature change qualification threshold, the heating performance is adjusted. An alarm is triggered when the first temperature change error exceeds a preset warning threshold.

10. The intelligent heating method according to claim 9, characterized in that, Also includes: When the duration of no control command received exceeds the preset silent duration threshold, the fourth indoor temperature is acquired in real time. If the fourth indoor temperature is less than or equal to a preset protection temperature threshold, the protection power is determined based on the heat performance and the protection temperature threshold, and the system is controlled to operate continuously at the protection power.

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