Intelligent terminal remote regulation and control method of intelligent heating wallboard

Abstract

The invention discloses an intelligent terminal remote regulation and control method for an intelligent heating wallboard, and relates to the technical field of intelligent building control, and the method comprises the following steps: continuously collecting the arrival time of control parameters, the adjacent issuing interval and the writing duration around the parameter issuing process of intelligent terminal remote regulation and control; and uniformly mapping time information to the same time axis to form time distribution characteristics. Through time distribution feature identification and rate boundary constraint, rhythmic execution of control parameter issuing is realized, and the write-in frequency and the effective time sequence are dynamically adjusted in the superposition risk section, so that the heating power change is stable, the thermal response is balanced, power instantaneous amplification and thermal stress concentration are avoided, and the reliability of the system is improved. And the operation stability and the structural reliability of the intelligent heating wallboard are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent building control technology, specifically to a remote control method for intelligent heating wall panels via intelligent terminals. Background Technology

[0002] Intelligent terminal remote control of intelligent heating wall panels refers to a technology that combines wall panel heating components with electrical-to-thermal energy conversion capabilities with terminal equipment possessing information processing and communication capabilities. This allows for centralized sensing, parameter setting, and operational adjustment of the wall panel's working status via a network. Its core lies in transforming the wall panel heating process, which originally relied on on-site manual operation, into a controlled operation process that can be sensed, calculated, and remotely adjusted. Specifically, an intelligent heating wall panel is a wall panel component that integrates heating units, temperature sensing units, and status feedback components into the building wall structure. After being powered on, the wall panel can stably output heat according to set operating parameters and collect and feedback information such as its temperature changes and operating status in real time, providing basic data support for subsequent control. Intelligent terminal remote control refers to using terminal equipment with human-computer interaction and communication capabilities to adjust the wall panel's start / stop status, heating intensity, operating period, and working mode remotely without touching the wall panel itself. This breaks through spatial limitations and achieves centralized, visualized, and real-time management.

[0003] The existing technology has the following shortcomings: In the existing technology, the remote control of intelligent heating wall panels usually adopts a method of periodically issuing control parameters. The relevant heating power, operating level, and adjustment instructions are written to the wall panel control terminal in the form of discrete data frames. Under this technical condition, when multiple parameter frames arrive and are executed simultaneously in a very short time due to factors such as communication fluctuations, frequent adjustments to the control strategy, or retransmission of instructions during remote control, the wall panel side lacks an effective constraint mechanism on the rhythm of parameter activation. The heating control instructions, which should have changed gradually in time sequence, are compressed and superimposed, resulting in an abnormal amplification of heating power within the instantaneous window. This instantaneous power amplification is not due to a single set value exceeding the limit, but rather the superposition effect of multiple parameter updates in the time dimension. This causes the local heating units of the wall panel to bear heat input far exceeding the design expectation, resulting in a sharp increase in heat flux density in the local area. Due to the spatial non-uniformity of the thermal response of the internal materials of the wall panel, under the impact of high heat flux in a short time, significant thermal stress concentration areas are easily formed inside the structure, ultimately leading to irreversible damage such as performance degradation and internal stress solidification of the wall panel structure, posing a potential risk to long-term safe operation.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a remote control method for intelligent heating wall panels via intelligent terminals, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a remote control method for an intelligent heating wall panel via an intelligent terminal, comprising the following steps: Regarding the parameter distribution process of remote control by smart terminals, the arrival time, adjacent distribution interval and writing duration of control parameters are continuously collected. The above time information is uniformly mapped onto the same time axis to form a time distribution feature that characterizes the change in parameter writing rhythm. Based on the time distribution characteristics, identify time segments in which control parameters are issued in a high concentration within a short period of time. Determine superimposed risk segments based on the sudden decrease characteristics of adjacent issuance intervals. Establish a correlation between each superimposed risk segment and its corresponding heat generation power setting range to generate a risk correspondence list containing the correlation between risk segments and heat generation power setting ranges. Based on the risk correspondence list, continuously track the change range of setpoints between adjacent control parameter writes, limit the rate of change of control parameter adjustment according to the change range, and generate rate boundary information for constraining the change of heating power. Based on the rate boundary information, the rhythm of each writing process of the control parameter is decomposed, and each writing of the control parameter is divided into an advance recording stage and a delayed execution stage, forming a parameter writing rhythm arrangement that matches the remote control process. Based on the parameter writing rhythm, the writing frequency of control parameters is reduced in the superimposed risk zone, and the changes in control parameters are released sequentially under the premise of meeting the rate boundary information. This keeps the effective process of control parameters dispersed in the time dimension, forming a smooth process of heat generation power change, and avoiding multiple superimposed effects of control parameter writing in a short period of time.

[0007] Preferably, the steps for forming the time distribution features are as follows: Regarding the parameter distribution process for remote control via smart terminals, the arrival time, adjacent distribution interval, and writing duration of control parameters are continuously collected, and the collected time information is recorded sequentially to obtain a dataset with a temporal relationship. The continuously collected time information is uniformly mapped onto the same time axis according to the order of time occurrence. The arrival time of the first control parameter is taken as the starting point of the time axis, and the adjacent transmission interval and writing duration are marked on the time axis to form a complete time mapping structure. The arrival time of control parameters, adjacent issuance intervals, and writing duration are structured on a unified time axis to maintain the continuous arrangement of control parameters in time sequence and form a time distribution line that reflects the continuity of parameter issuance. By analyzing the variation patterns of adjacent sending intervals and writing duration in the time dimension based on a unified time axis, the time distribution characteristics that characterize the changing trend of control parameter sending rhythm and execution continuity are obtained.

[0008] Preferably, in the process of forming time distribution features, the arrival time of each control parameter on the time axis and the corresponding writing duration are marked in the form of continuous segments, and the dense and sparse segments of control parameter distribution are identified by the time change of adjacent distribution intervals, so as to ensure that the time distribution features can accurately reflect the rhythm changes and execution order of control parameters in the time dimension.

[0009] Preferably, the steps for generating the risk-corresponding list are as follows: Based on the time distribution characteristics, the density information of control parameter issuance is extracted. By continuously observing the arrangement of adjacent issuance intervals on the time axis, the concentrated changes in the control parameter issuance rhythm are determined, and high-density issuance candidate segments with start and end boundaries are identified. In each high-density distribution candidate segment, the relationship between the continuous distribution interval and the writing duration is compared. When the arrival time of the subsequent control parameter is earlier than the writing completion time of the previous control parameter, the time segment is confirmed as an overlapping risk segment. Each superimposed risk zone is analyzed in relation to its corresponding heat generation power setting value. The maximum and minimum values ​​of the heat generation power setting value within the zone are recorded to form the range of power variation. The confirmed superimposed risk zones and their heating power setting ranges are summarized to generate a risk correspondence list that includes the time range of the risk zone, the number of control parameters, the trend of the distribution interval change and the power change range.

[0010] Preferably, the steps for generating rate boundary information are as follows: Based on the risk correspondence list, the change of set value between adjacent control parameter writes is continuously tracked. The heating power set value of each control parameter write is compared with the previous set value and the change range is recorded to form a continuous data sequence reflecting the change of set value. The direction and trend of control parameter changes are determined based on the continuous change amplitude data, and the change trend is matched with the time segments in the risk correspondence list to establish the correspondence between the direction of control parameter changes and the risk segments. The range of the rate of change of the control parameters is limited by combining the magnitude of the change with the time interval between adjacent writes, and the rate constraints in different time ranges are determined based on the segment information in the risk correspondence list. The results are organized to form rate boundary information with time range and power change limit values, which is used to constrain the rate of change of heating power during remote control.

[0011] Preferably, when limiting the range of the rate of change of the control parameter adjustment, by comparing the change amplitude of the set value written by adjacent control parameters with the writing time interval, the parameter effective time is extended when the change amplitude of the set value is large and the time interval is short, and the parameter effective time is shortened when the change amplitude of the set value is small and the time interval is long, so as to ensure that the process of changing the heating power remains continuous and stable in the time dimension.

[0012] Preferably, the parameter writing rhythm arrangement is formed in the following steps: The time frame for each control parameter is determined based on the rate boundary information, and the allowable range of heating power change rate is extracted from the rate boundary information to limit the time length from receiving the control parameter to its effective time. Within a defined timeframe, the writing process for each control parameter is divided into a pre-recording phase and a delayed execution phase, so that the control parameters take effect gradually in chronological order at different phases. Establish a time connection between the advance recording stage and the delayed execution stage, and dynamically adjust the start time of the delayed execution stage according to the difference in the set values ​​of adjacent control parameters to maintain time continuity and effectiveness balance. By integrating the timing information of all control parameters to form a parameter writing rhythm schedule, each control parameter is recorded, waited for, and taken effect in sequence according to the rate boundary and change amplitude, thereby achieving smooth control of the power change process.

[0013] Preferably, based on the parameter writing rhythm, the frequency of control parameter writing is reduced within the superimposed risk zone, and the control parameter changes are released sequentially under the condition of meeting the rate boundary information, so that the control parameter effective process is distributed in steps over time as follows: Based on the parameter writing rhythm, identify the distribution of control parameters within the superimposed risk zone. By aligning the parameter writing rhythm with the risk-corresponding list in time, determine the set of control parameters belonging to the risk zone and analyze the time interval and duration. By combining the rate limit conditions in the rate boundary information, the writing frequency of control parameters is reduced in the superimposed risk section, and the parameter writing time is redistributed on the time axis by extending the waiting time and the insertion delay interval. After adjusting the write frequency, the release timing of the control parameters is determined based on the rate boundary information, and the release interval is dynamically adjusted by comparing the effective interval of the parameters before and after and the change amplitude of the set value to maintain the smoothness of power change. The control process based on sequential release forms a smooth heating power change curve, which enables the control parameters to take effect in a distributed manner in the time dimension and realizes the rhythmic adjustment of power output.

[0014] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention introduces time distribution feature recognition and rate boundary constraints during remote control, transforming the issuance and activation of control parameters from discrete execution to rhythmic execution in the time dimension. By uniformly mapping the arrival time, issuance interval, and writing duration of control parameters, and identifying and dispersing risk sections, the parameter update behavior is subject to time rhythm constraints. This effectively avoids the problem of instantaneous power amplification caused by multiple simultaneous parameter writings, achieving stable power output and balanced thermal response of the heating wall panel.

[0015] This invention constructs a parameter writing rhythm arrangement based on rate boundary information, decomposing the writing process of each control parameter into two stages: advance recording and delayed execution. Within the superimposed risk zone, the writing frequency and activation sequence are dynamically adjusted, enabling the orderly release of control parameters along the time axis. This method maintains the continuity and smoothness of the heating power change process, reduces the risk of thermal stress concentration caused by sudden increases in local heat flux density in the wall panel, and improves the long-term thermal stability and structural reliability. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0017] Figure 1 This is a flowchart of the intelligent terminal remote control method for the intelligent heating wall panel of the present invention. Detailed Implementation

[0018] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0019] This invention provides, for example Figure 1 The intelligent terminal remote control method for the intelligent heating wall panel shown includes the following steps: Regarding the parameter distribution process of remote control by smart terminals, the arrival time, adjacent distribution interval and writing duration of control parameters are continuously collected. The above time information is uniformly mapped onto the same time axis to form a time distribution feature that characterizes the change in parameter writing rhythm. To accurately characterize remote control behavior over time and provide a complete temporal basis for subsequent risk identification and rhythm adjustment, this study comprehensively collects, maps, and structures the temporal information of control parameters during each transmission process from the intelligent terminal to the heating wall panel. This transforms discrete records of temporal behavior into continuously describable temporal distribution characteristics. The specific implementation steps are as follows: When the smart terminal performs remote control, whenever the terminal generates a new set of control parameters and sends a transmission request to the heating wall panel, it immediately records the timestamp of the control parameter at the moment of transmission as the transmission time, and records another timestamp as the arrival time when the wall panel receiver completes reception. The difference between the two timestamps represents the transmission time of the control parameter in the communication link. To reflect the temporal correlation between different control parameters, the terminal calculates the time interval between each transmission and the previous transmission when transmitting control parameters, and this interval is continuously recorded as the adjacent transmission interval.

[0020] At the wall panel receiver, each control parameter is written to the local execution storage area after being received. The writing process begins with the confirmation signal and ends with the return of the completion signal; the entire duration of this process is the writing duration. In this way, the terminal can obtain the arrival time of each control parameter, the interval between two consecutive transmissions, and the time elapsed for the parameter to be written at the wall panel. These three types of time information are recorded synchronously and arranged sequentially to form a dataset with a strict temporal order. This dataset is the most basic input information describing the timing of control parameter transmission and execution, supporting subsequent time mapping and distribution feature formation.

[0021] After the data acquisition process is complete, to achieve a unified representation of different time information, the arrival time, adjacent transmission interval, and write duration of all records are mapped onto a continuous timeline in chronological order. During mapping, the arrival time of the first control parameter is set as the starting point of the timeline, and the arrival times of all subsequent control parameters are sequentially marked using this time point as a reference, ensuring that each control parameter occupies an independent time position on the timeline. The interval between each control parameter is determined by its adjacent transmission interval; that is, the starting point of the second control parameter on the timeline is shifted backward relative to the time position of the first control parameter by a time distance corresponding to the adjacent transmission interval, thus forming a continuous arrangement on the timeline. To ensure that the timeline reflects the complete writing process of the control parameters, after each control parameter's arrival time, the corresponding write duration is marked on the timeline as a continuous segment, forming a time period with clear start and end boundaries for the writing process of that control parameter on the timeline. In this way, the timeline not only records the relative order of control parameter issuance events, but also the time range occupied by each control parameter during the execution phase, thus forming a continuous and observable mapping structure in the time dimension of the entire parameter issuance and execution process.

[0022] After the timeline mapping is completed, the arrival time, adjacent distribution intervals, and writing duration of each control parameter are structured into a continuous sequence. During this process, the order of each control parameter on the timeline is maintained to ensure that the intervals between adjacent control parameters do not overlap or intersect. When adjacent distribution intervals are short, the time segments corresponding to two control parameters are closely arranged on the timeline; when adjacent distribution intervals are long, the time segments between two control parameters are relatively dispersed. This structured arrangement of the time information of all control parameters forms a complete time distribution line, composed of a series of time points and time periods, corresponding to the arrival, distribution interval, and writing duration of the control parameters, respectively. This structured arrangement ensures that each control parameter distribution event possesses not only a positional attribute but also a time occupancy attribute on the timeline, thus intuitively reflecting the continuity, density, and temporal rhythm changes of the entire parameter distribution process. Through this arrangement, time information is transformed from scattered numerical records into a logically related time sequence structure, providing a directly usable temporal basis for subsequent rhythm identification, risk segment identification, and rate constraints.

[0023] After mapping and organizing the time information, the overall distribution of the arrival time, adjacent transmission interval, and write duration of each control parameter on the time axis is analyzed. By observing the changes in the length of adjacent transmission intervals on the time axis, the density of control parameter transmission in different time periods can be clarified. When adjacent transmission intervals shorten continuously within a certain time period, the corresponding time period on the time axis will show a phenomenon of multiple control parameters being concentrated, reflecting the frequent transmission of control commands in a short period of time. Conversely, when adjacent transmission intervals lengthen continuously within a certain time period, the corresponding time period on the time axis will show a state of dispersed distribution of control parameters, reflecting a relatively sparse transmission rhythm. At the same time, by comparing the distribution of the write duration of each control parameter on the time axis, the execution load changes of the wallboard in different control stages can be understood. If the write duration increases significantly in a short period of time, it indicates that the wallboard is subjected to continuous write tasks in a short period of time, which can easily lead to execution congestion and response lag. If the write duration remains stable between adjacent control parameters, it indicates that the control rhythm is in a balanced state. By comprehensively describing the aforementioned temporal changes on a unified time axis, a set of temporal distribution features reflecting the rhythmic changes in control parameter issuance can be obtained. Based on the time axis, these features consist of continuously arranged arrival times, adjacent issuance intervals, and write durations, intuitively revealing the rhythmic trends, temporal concentration, and execution continuity of control parameter issuance during remote control. Through the establishment of these features, intelligent terminals can use them to understand the actual distribution of control commands over time when performing remote control operations, providing a complete temporal representation foundation for subsequently identifying concentrated issuance segments, determining overlapping risks, and constructing rhythmic constraint mechanisms.

[0024] Based on the time distribution characteristics, identify time segments in which control parameters are issued in a high concentration within a short period of time. Determine superimposed risk segments based on the sudden decrease characteristics of adjacent issuance intervals. Establish a correlation between each superimposed risk segment and its corresponding heat generation power setting range to generate a risk correspondence list containing the correlation between risk segments and heat generation power setting ranges. After mapping and organizing the arrival time of control parameters, the interval between adjacent issuances, and the duration of writing on a unified time axis, a time distribution characteristic reflecting the changes in the rhythm of control parameter issuance has been obtained. To further identify time segments where control parameters are issued too densely within a short period and to determine the potential risk of instruction overlap within these segments, a correlation analysis is performed between the time distribution characteristics and the heat generation power setting range. This generates a risk correspondence list containing the relationships between risk segments and heat generation power setting ranges. The specific implementation process is as follows: In the obtained time distribution characteristics, each control parameter has a clear arrival time position, adjacent transmission interval length, and write duration on the time axis. By continuously observing the arrangement of adjacent transmission intervals on the time axis, the density of control parameter transmission can be intuitively observed. When adjacent transmission intervals show a continuous shortening trend, it indicates that the transmission rhythm of control parameters gradually accelerates within that time period, resulting in a concentrated arrangement of control commands on the time axis. To accurately reflect this concentration trend, each time interval in the time distribution characteristics is compared segment by segment. When three or more consecutive control parameter transmission intervals are all less than a preset proportion of the overall average transmission interval, this continuous segment is initially identified as a high-density transmission candidate segment. In this process, each candidate segment starts with the time point when the first transmission interval shortens and ends with the time point when the last interval still maintains a shortening state, forming a continuous time segment with start and end boundaries on the time axis.

[0025] Within each high-density distribution candidate segment, the arrival times of control parameters are close to each other, and the length of adjacent distribution intervals decreases successively. To determine whether a candidate segment constitutes a superimposed risk segment, further analysis of the interval variation trend is needed. When the distribution interval between multiple consecutive control parameters suddenly shortens within a very short period of time, and the writing duration of subsequent control parameters has not yet been completed, the execution of the previous control instruction is still in progress, while the writing of the next control instruction has already entered the execution stage, resulting in multiple control instructions overlapping in time. This time overlap phenomenon is the root cause of superimposed risk. Therefore, in each candidate segment, by comparing the relationship between consecutive distribution intervals and writing duration, when the arrival time of any subsequent control parameter is earlier than the writing completion time of the previous control parameter, that time period is identified as a superimposed risk segment. At this time, the superimposed risk segment identified on the time axis consists of the time range in which multiple control parameter writing activities coexist. This range directly reflects the degree of time overlap in the control process and is an important basis for subsequent power correlation analysis.

[0026] During the operation of the intelligent heating wall panel, each control parameter corresponds to a specific heating power setpoint or power adjustment command. By aligning the time information of the control parameters in the time distribution characteristics with the heating power setpoint information, the range of heating power setpoints corresponding to all control parameters within each superimposed risk segment can be determined. Specifically, within each superimposed risk segment, the maximum and minimum values ​​of the heating power setpoints corresponding to all control parameters are recorded, and the range of power change within that segment is calculated. The power change amplitude reflects the severity of the heat output change of the wall panel within that risk segment. When the power setpoint span within the superimposed risk segment is large, it indicates that the control parameters are frequently adjusted to increase the heating intensity in a short period of time, which can easily lead to a peak in heating power instantaneously. When the power setpoint span is small but the frequency of adjustment is too high, it indicates that although the adjustment amplitude is low each time, the excessive number of superimposed adjustments may still cause an increase in cumulative power. Through this correspondence analysis, each superimposed risk segment is not only identified in terms of its position and duration on the time axis, but also has its corresponding heating power setpoint range, thus forming a two-dimensional correspondence between time characteristics and power characteristics.

[0027] After identifying the overlapping risk segments and corresponding to the heating power setting range, all identified overlapping risk segments are summarized in chronological order to form a risk correspondence list. This list includes the time range of the risk segment, the number of control parameters within the segment, the trend of adjacent transmission intervals, and the corresponding heating power setting range. Each overlapping risk segment is recorded in detail, including its start time, end time, duration, and the range of heating power changes within that time period. In this way, each record in the list fully reflects the relationship between the density of control parameter transmissions and the intensity of power adjustments within a specific time segment. This list can be used not only for subsequent rate boundary generation and rhythm decomposition steps but also to provide risk warnings for the intelligent terminal during subsequent remote control processes. When remote control re-enters a transmission rhythm similar to the time characteristics of a segment in the list, the terminal can identify the potential risk trend and adjust the rhythm in advance, thus avoiding multiple control parameters being executed simultaneously within a short period. Through the establishment of the risk correspondence list, the remote control process of the intelligent heating wall panel establishes a correspondence between the time and power dimensions, transforming remote control behavior from simple command transmission into a perceptible, identifiable, and protectable time-based control process. The existence of the risk response list allows subsequent rate limits and rhythm scheduling operations to be based on the corresponding data of time and power, ensuring the continuity, stability and safety of control actions.

[0028] Based on the risk correspondence list, continuously track the change range of setpoints between adjacent control parameter writes, limit the rate of change of control parameter adjustment according to the change range, and generate rate boundary information for constraining the change of heating power. After generating a risk correspondence list containing the relationship between risk segments and heating power setting ranges based on the risk identification and correlation process, in order to further ensure that the adjustment behavior of control parameters remains stable and controllable in both the time and power dimensions, it is necessary to continuously track the changes in setpoints between consecutive control parameter writes and limit a reasonable control rate range based on the magnitude and trend of the changes, thereby generating rate boundary information that can be used to constrain changes in heating power. This process enables remote control behavior to achieve power output regulation in a rate-limited manner by continuously tracking and comparing the change characteristics of control parameters in the time series. The specific implementation method is as follows: In the risk correspondence list, each superimposed risk segment corresponds to a specific time range and heating power setting range. To clarify the variation pattern of each control parameter within these time ranges, it is necessary to compare the set values ​​of adjacent control parameters one by one. Specifically, during the remote control of the heating wall panel, after each control parameter is written, the heating power setting value written this time is immediately compared with the setting value written previously, the difference between the two writings is calculated, and this difference is recorded as the change amplitude. When the next control parameter is written, the above comparison and recording operation is repeated, so that a continuous change amplitude data sequence is formed throughout the entire control process.

[0029] During this tracking process, the start and end times of each control parameter write are recorded simultaneously, allowing for rate analysis in subsequent steps by combining the time intervals. In this way, the entire control parameter writing process not only preserves information about power setpoint changes but also retains complete time information, providing fundamental data for limiting the rate of change of control parameters. This continuous tracking process can reflect the characteristics of control parameter changes in both risk and normal operating ranges, making the intensity and frequency of changes over different time periods readily apparent.

[0030] After obtaining the continuous variation amplitudes of adjacent control parameters, these data are arranged and compared in chronological order to analyze the overall direction and trend of control parameter changes. When multiple consecutive variation amplitudes are positive, it indicates that the control parameter is continuously increasing, and the heating power is on an upward trend; when multiple consecutive variation amplitudes are negative, it indicates that the control parameter is continuously decreasing, and the heating power is on a downward trend; when the variation amplitude frequently switches between positive and negative values, it indicates that the control parameter is repeatedly rising and falling in a short period of time, and the heating power output fluctuates frequently. To more accurately grasp the trend of control parameter changes, the above variation amplitude data needs to be matched with the time segments in the risk correspondence list. When the variation amplitude of the control parameter in a certain risk segment continuously shows alternating positive and negative states, it indicates that the adjustment direction of the control command is unstable within that time range, and the power output is prone to sudden changes. Stricter rate constraints should be adopted in subsequent steps. Conversely, when the variation amplitude remains in a single direction and the variation value is small within a certain time period, it indicates that the control behavior within that time period is relatively stable, and the restrictions in subsequent rate limits can be appropriately relaxed. This trend determination method can establish a correspondence between the direction of change of control parameters and risk segments over time, providing specific trend references for rate limits and making subsequent limit operations more targeted and time-related.

[0031] After clarifying the trend of control parameter changes, it is necessary to determine the reasonable range of control parameter change rates by combining the magnitude of the change and the time interval between adjacent writes. Specifically, when the magnitude of the change between two consecutive control parameters is large and the time interval between the two writes is short, it indicates that the control parameter has undergone drastic adjustment in a short period of time. In this case, the allowable change rate should be set lower to slow down the parameter adjustment process and avoid a sharp increase in heat generation power in a short period of time. When the magnitude of the change between two consecutive control parameters is small and the time interval between writes is long, it indicates that the power adjustment process is relatively slow. A higher change rate can be allowed in subsequent writes to improve the response efficiency of remote control. During the limiting process, the segment information in the risk correspondence list should be continuously referenced. When the write time of the control parameter is in the superimposed risk segment, a strict rate limit must be adopted to control the allowable change rate within a small range, making the power adjustment process smoother. When the write time of the control parameter is in the non-risk segment, a relatively lenient rate limit should be selected based on the comprehensive situation of the magnitude of change and the time interval. In this way, the control parameter adjustment rate can be automatically stratified according to the actual risk level and change trend, thereby maintaining the stability and predictability of power changes throughout the entire time domain. This rate limiting process not only provides a data foundation for the generation of subsequent rate boundary information, but also directly determines the thermal response speed and stability of the heating wall panel under different working conditions, which is a key step in realizing rhythmic power output.

[0032] After rate constraints are established, the results are organized to form rate boundary information with clearly defined time ranges and power variation limits. Specifically, for each risk zone, the maximum and minimum allowable rate values ​​and their corresponding time ranges are recorded; for non-risk zones, their corresponding rate ranges and variation patterns are recorded. In this way, the entire time axis is divided into several intervals with different rate constraints, each with a clear power variation limit. When the intelligent terminal prepares to execute a new control parameter write operation during remote control, it can extract the corresponding rate range from the rate boundary information based on the current time interval, and determine the specific step size and execution rhythm of the control parameter adjustment accordingly. If the current time is in a risk zone, the terminal reduces the adjustment rate of the control parameters based on the rate boundary information, making the heat generation power variation process smoother; if the current time is in a normal zone, the terminal appropriately accelerates the adjustment process based on the relaxed rate range in the rate boundary information to improve response sensitivity. The rate boundary information generated in this way not only reflects the variation patterns of control parameters in both time and power dimensions, but also provides a directly referable rate basis for subsequent rhythm decomposition and parameter execution arrangement. This rate boundary information ensures that the heating power change process remains continuous in time and controlled in power, thereby avoiding the problems of local heat load concentration and structural temperature difference stress accumulation caused by sudden changes in control parameters, and ensuring the operational stability and thermal efficiency of the intelligent heating wall panel during remote control.

[0033] Based on the rate boundary information, the rhythm of each writing process of the control parameter is decomposed, and each writing of the control parameter is divided into an advance recording stage and a delayed execution stage, forming a parameter writing rhythm arrangement that matches the remote control process. Once the rate boundary information that constrains the change in heating power is obtained, to ensure that each write of control parameters aligns with the rate boundary and guarantees the smoothness and controllability of the power change process over time, the write process needs to be rhythmically decomposed. This is achieved by arranging the time distribution of different stages to ensure that the entire write process remains consistent with the overall rhythm of remote control. This process not only avoids power superposition caused by the concentrated effect of control parameters within a short period but also enables continuous release of parameter changes over time. The specific implementation method is as follows: In the rate boundary information, each time segment corresponds to an allowable range of heating power change rates. To ensure that the control parameter writing process conforms to this rate constraint, before each control parameter is written, the current rate interval must be identified, and the corresponding maximum and minimum allowable rates must be extracted from the rate boundary information. Based on this rate range, the time rhythm framework for the current control parameter is determined, i.e., the time length allocated from the control parameter being received, recorded, to its final effectiveness. In segments with smaller rate boundaries, the rhythm framework time should be appropriately lengthened to distribute power adjustments; in segments with larger rate boundaries, the rhythm framework time can be shortened to maintain system responsiveness. In this way, each control parameter has a time rhythm framework that matches the rate constraint before being written, providing a clear time basis for subsequent phased execution. During this process, the determination of the time rhythm framework must be consistent with the risk correspondence list, ensuring that the parameter writing rhythm is slower in high-risk segments and more flexible in ordinary segments. This operation realizes the transformation of rate boundary information into time rhythm parameters, providing a quantitative basis for write decomposition.

[0034] After defining the time-rhythm framework, the writing process for each control parameter is divided into stages. The advance recording stage refers to the control parameter being immediately recorded in a temporary buffer upon arrival, but not immediately entering the execution state of the heating wall panel. The delayed execution stage refers to the parameter content being written to the wall panel execution area gradually according to the time sequence specified by the rhythm framework after a preset delay, thus dispersing the time of parameter effectiveness. In specific operation, the duration of the advance recording stage is determined based on the lower limit of the rate boundary. When the allowable rate is low, the advance recording stage is relatively long to provide a sufficient time interval; when the allowable rate is high, the advance recording stage can be appropriately shortened to maintain response speed. The duration of the delayed execution stage is determined based on the upper limit of the rate boundary. Its main function is to ensure the actual effectiveness sequence of the control parameters, dispersing the action time of the control commands on the time axis, thereby avoiding concentrated execution within the same time window. Through this staged processing method, each control parameter is allocated a rhythmic time period from arrival to effectiveness, realizing the transformation of the writing process from a single execution behavior to a time-adjustable behavior.

[0035] During the writing process of each control parameter, the advance recording phase and the delayed execution phase are not completely independent but are time-sequential. To ensure a smooth transition from the recording state to the execution state, a smooth transition mechanism needs to be established between the two phases. Specifically, when the advance recording phase reaches its end, the rate boundary information is used to determine whether the difference between the current control parameter and the previous parameter's setpoint exceeds the allowable variation range. When the difference is large, the start time of the delayed execution phase is automatically postponed, further extending the effective time interval; when the difference is small, the delayed execution phase can start earlier, allowing the control parameter to quickly enter the effective state. This transition mechanism ensures the time coordination between continuous control parameters, allowing the effective time of different parameters to be dynamically adjusted according to their variation range and rate boundaries, thus giving the entire writing process a continuous, progressive rhythm on the timeline. Through this mechanism, control parameters will not be triggered simultaneously in a short period of time, nor will excessive delays cause system response lag, achieving dynamic equilibrium in time distribution.

[0036] After the rhythm division and connection settings are completed for the writing process of all control parameters, the time rhythm information of each control parameter is integrated to form a complete parameter writing rhythm arrangement. This rhythm arrangement is centered on the time axis, arranging the advance recording time and delayed execution time of all control parameters sequentially, so that the entire remote control process exhibits segmented continuity and staggered balance in the time dimension. Under this rhythm arrangement, multiple control parameters arriving in a short period of time no longer enter the execution state simultaneously, but instead, according to their respective rate boundaries and change amplitudes, complete the recording, waiting, and activation processes sequentially. In this way, the change curve of heat generation power presents a gradual transition state on the time axis, avoiding instantaneous thermal shocks caused by power superposition, and also preventing execution conflicts of control commands. The formation of the parameter writing rhythm arrangement enables the remote control process to have adaptive rhythm control capabilities. When communication conditions are stable and the rate boundary allows a large range, the rhythm arrangement automatically tends to be compact, enabling the system to respond quickly; when communication conditions are unstable or in a risky zone, the rhythm arrangement automatically extends, keeping the system running smoothly. Through this arrangement, the remote control behavior is transformed from passive execution to active scheduling, realizing the rhythmic management of parameter writing, and enabling the intelligent heating wall panel to maintain stable power output and uniform thermal response during long-term operation.

[0037] Based on the parameter writing rhythm, the writing frequency of control parameters is reduced in the superimposed risk zone, and the changes in control parameters are released sequentially under the premise of meeting the rate boundary information, so that the effective process of control parameters is kept dispersed in the time dimension, forming a smooth heat generation power change process, and avoiding multiple control parameter writings superimposed and effective in a short period of time. After the parameter writing rhythm is decomposed and the execution schedule is arranged, in order to ensure that the effective process of the control parameters in the time dimension is consistent with the rate boundary information, and to effectively suppress the concentrated execution of control parameters within the superimposed risk zone, it is necessary to further adjust the writing frequency of the control parameters based on the rhythm arrangement, and maintain the temporal dispersion of the parameter change process through orderly release, thereby achieving a smooth transition of heat generation power changes. This process realizes two-way constraints on time and power at the control level, transforming remote control behavior from command superposition to time-distributed execution. The specific implementation steps are as follows: After completing the parameter writing schedule, a complete time structure has been formed, including the advance recording phase and the delayed execution phase for each control parameter. To perform effective adjustments within the superimposed risk zones, all control parameters belonging to these risk zones need to be identified on the timeline. Specifically, the parameter writing schedule is aligned with the risk-corresponding list. When the recording or execution time of a parameter falls within the time range of a risk zone, it is determined that the parameter belongs to the superimposed risk zone. At this point, a continuous set of risk zone parameters is obtained, with control parameters in each set exhibiting high issuance density and similar effective times. By statistically analyzing and sorting these sets, the distribution of control parameters within the risk zones over time can be determined, including the time interval between adjacent parameters, the writing duration of each parameter, and the allowable rate of change range corresponding to the rate boundary information. This identification process provides a clear time basis for subsequent writing frequency adjustments, enabling quantitative analysis of the parameter distribution within each risk zone.

[0038] After identifying the control parameters within the risk zone, it is necessary to gradually reduce the write frequency of the control parameters by combining the rate limit conditions in the rate boundary information to control the rhythm of power changes. In practice, within each risk zone, the control parameters are evaluated one by one in chronological order. When the allowable rate boundary of a certain control parameter is low, it indicates that high-frequency write operations are not advisable during that time period. In this case, the waiting time of the current parameter should be extended, postponing its effective time to the next safe time interval. When multiple control parameters are consecutively located in the same risk zone and their rate boundary information shows that the allowable change rates are all in the low range, the system automatically inserts a delay interval on the time axis, redistributing the originally concentrated parameter write times to form a staggered temporal sequence. In this way, the number of writes per unit time can be effectively reduced, allowing each control parameter to obtain an independent power response space during execution, thereby avoiding the power superposition effect caused by excessively high write frequencies. During this process, the adjustment of the write frequency is not a fixed percentage reduction, but rather dynamically correlated with the rate boundary information. As the boundary of the risk zone gradually ends and the allowable rate range expands, the write frequency can be gradually restored, allowing the parameter adjustment process to smoothly transition from a restricted state to a normal state, thereby ensuring the continuity of the entire control process.

[0039] Once the writing frequency of control parameters is adjusted to a reasonable range, the specific timing of parameter release needs to be determined based on the rate boundary information. Specifically, according to the time frame determined in the parameter writing rhythm arrangement, the effective time of each control parameter is compared with the effective time of the previous parameter. Only when the time interval between the two meets the minimum safe interval specified by the rate boundary information can the current parameter enter the execution state. In this way, the effective process of control parameters is transformed into a continuous behavior that progresses step by step on the time axis. Each parameter change is initiated only after the power response of the previous parameter has been gradually completed, thus forming a sequential release rhythm. During the parameter release process, dynamic fine-tuning is also required based on the change amplitude of the parameter set values ​​before and after. When the change amplitude between two adjacent control parameters is large, the release interval of the current parameter is extended to maintain the smoothness of the power change; when the change amplitude is small and the power direction of adjacent parameters is consistent, the release interval can be appropriately shortened to maintain the real-time response characteristics of the system. Through this sequential release control method, the effective process of the control parameters is distributed in a time dimension. The power output no longer changes abruptly, but gradually, so that the heating wall panel can achieve a continuous transition in terms of thermal response, avoiding the problem of sudden increase in local heat flux density.

[0040] After the control parameters are released sequentially, the entire remote control process exhibits a continuous power change curve on the time axis. At this point, the heating power is no longer generated by the synchronous execution and superposition of multiple control parameters, but rather by the staggered changes of multiple dispersed parameters over time. Specifically, each control parameter's activation process has an independent start and end point, and adjacent parameters maintain non-overlapping time intervals; the heating power exhibits a smooth curve with gradual increases and decreases over time, rather than a sudden, step-like curve. To ensure this smoothness of power change, the timing sequence of parameter activation and the power change trend need to be continuously monitored. When the execution results of multiple consecutive parameters produce similar slopes on the power curve, it indicates that the power change remains balanced; if a segment of the power curve shows signs of rising or falling too rapidly, the parameter release interval is automatically adjusted in the next cycle to restore a smooth change state. Through this process, the entire heating power output becomes continuously controllable in the time dimension, avoiding the problem of power peak accumulation caused by multiple parameters activating simultaneously within a short period. Ultimately, by reducing the writing frequency within the superimposed risk zone, releasing control parameters sequentially under rate constraints, and maintaining a dispersed effect over time, the rhythmic adjustment and smooth transition of the heat output process were achieved. This method not only eliminates the risk of multiple parameters superimposed and taking effect in a short period of time, but also coordinates the power output with the thermal response of the wall panel through fine-grained control of the time distribution, thereby maintaining a stable, safe, and efficient operating state during long-term remote control.

[0041] This invention introduces time distribution feature recognition and rate boundary constraints during remote control, transforming the issuance and activation of control parameters from discrete execution to rhythmic execution in the time dimension. By uniformly mapping the arrival time, issuance interval, and writing duration of control parameters, and identifying and dispersing risk sections, the parameter update behavior is subject to time rhythm constraints. This effectively avoids the problem of instantaneous power amplification caused by multiple simultaneous parameter writings, achieving stable power output and balanced thermal response of the heating wall panel.

[0042] This invention constructs a parameter writing rhythm arrangement based on rate boundary information, decomposing the writing process of each control parameter into two stages: advance recording and delayed execution. Within the superimposed risk zone, the writing frequency and activation sequence are dynamically adjusted, enabling the orderly release of control parameters along the time axis. This method maintains the continuity and smoothness of the heating power change process, reduces the risk of thermal stress concentration caused by sudden increases in local heat flux density in the wall panel, and improves the long-term thermal stability and structural reliability.

[0043] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for remote control of an intelligent heating wall panel via a smart terminal, characterized in that, Includes the following steps: Regarding the parameter distribution process of remote control via smart terminals, the arrival time, adjacent distribution interval, and writing duration of control parameters are continuously collected, and the above time information is uniformly mapped onto the same time axis to form a time distribution feature. Based on the time distribution characteristics, identify time segments in which control parameters are issued in a high concentration within a short period of time. Determine superimposed risk segments based on the sudden decrease characteristics of adjacent issuance intervals. Establish a correlation between each superimposed risk segment and its corresponding heat generation power setting range to generate a risk correspondence list. Based on the risk correspondence list, continuously track the change range of adjacent control parameters, limit the rate of change of control parameters according to the change range, and generate rate boundary information. Based on the rate boundary information, the rhythm of each writing process of the control parameter is decomposed, and each writing of the control parameter is divided into an advance recording stage and a delayed execution stage, forming a parameter writing rhythm arrangement that matches the remote control process. Based on the parameter writing rhythm, the writing frequency of control parameters is reduced in the superimposed risk zone, and the changes in control parameters are released sequentially under the premise of meeting the rate boundary information, so that the effective process of control parameters remains dispersed in the time dimension.

2. The intelligent terminal remote control method for the intelligent heating wall panel according to claim 1, characterized in that, The steps for forming time distribution characteristics are as follows: Regarding the parameter distribution process for remote control via smart terminals, the arrival time, adjacent distribution interval, and writing duration of control parameters are continuously collected, and the collected time information is recorded sequentially to obtain a dataset with a temporal relationship. The continuously collected time information is uniformly mapped onto the same time axis according to the order of time occurrence. The arrival time of the first control parameter is taken as the starting point of the time axis, and the adjacent transmission interval and writing duration are marked on the time axis to form a complete time mapping structure. The arrival time of control parameters, adjacent issuance intervals, and writing duration are structured on a unified time axis to maintain the continuous arrangement of control parameters in time sequence and form a time distribution line that reflects the continuity of parameter issuance. By analyzing the variation patterns of adjacent sending intervals and writing duration in the time dimension based on a unified time axis, the time distribution characteristics that characterize the changing trend of control parameter sending rhythm and execution continuity are obtained.

3. The intelligent terminal remote control method for the intelligent heating wall panel according to claim 2, characterized in that, In the process of forming time distribution features, the arrival time of each control parameter on the time axis and the corresponding write duration are marked as continuous segments. The dense and sparse segments of control parameter distribution are identified by the time change of adjacent distribution intervals, so as to ensure that the time distribution features can accurately reflect the rhythm changes and execution order of control parameters in the time dimension.

4. The intelligent terminal remote control method for the intelligent heating wall panel according to claim 2, characterized in that, The steps for generating the risk response list are as follows: Based on the time distribution characteristics, the density information of control parameter issuance is extracted. By continuously observing the arrangement of adjacent issuance intervals on the time axis, the concentrated changes in the control parameter issuance rhythm are determined, and high-density issuance candidate segments with start and end boundaries are identified. In each high-density distribution candidate segment, the relationship between the continuous distribution interval and the writing duration is compared. When the arrival time of the subsequent control parameter is earlier than the writing completion time of the previous control parameter, the time segment is confirmed as an overlapping risk segment. Each superimposed risk zone is analyzed in relation to its corresponding heat generation power setting value. The maximum and minimum values ​​of the heat generation power setting value within the zone are recorded to form the range of power variation. The confirmed overlapping risk zones and their corresponding heating power settings are summarized to generate a risk correspondence list.

5. The intelligent terminal remote control method for the intelligent heating wall panel according to claim 4, characterized in that, The steps for generating rate boundary information are as follows: Based on the risk correspondence list, the change of set value between adjacent control parameter writes is continuously tracked. The heating power set value of each control parameter write is compared with the previous set value and the change range is recorded to form a continuous data sequence reflecting the change of set value. The direction and trend of control parameter changes are determined based on the continuous change amplitude data, and the change trend is matched with the time segments in the risk correspondence list to establish the correspondence between the direction of control parameter changes and the risk segments. The range of the rate of change of the control parameters is limited by combining the magnitude of the change with the time interval between adjacent writes, and the rate constraints in different time ranges are determined based on the segment information in the risk correspondence list. The results are organized to form rate boundary information with time range and power variation limit values.

6. The intelligent terminal remote control method for the intelligent heating wall panel according to claim 5, characterized in that, When limiting the range of the rate of change of the control parameter adjustment, by comparing the change amplitude of the set value written by adjacent control parameters with the writing time interval, the parameter effective time is extended when the change amplitude of the set value is large and the time interval is short, and the parameter effective time is shortened when the change amplitude of the set value is small and the time interval is long.

7. The intelligent terminal remote control method for the intelligent heating wall panel according to claim 5, characterized in that, The steps for arranging the parameter writing rhythm are as follows: The time frame for each control parameter is determined based on the rate boundary information, and the allowable range of heating power change rate is extracted from the rate boundary information to limit the time length from receiving the control parameter to its effective time. Within a defined timeframe, the writing process for each control parameter is divided into a pre-recording phase and a delayed execution phase, so that the control parameters take effect gradually in chronological order at different phases. Establish a time connection between the advance recording stage and the delayed execution stage, and dynamically adjust the start time of the delayed execution stage according to the difference in the set values ​​of adjacent control parameters to maintain time continuity and effectiveness balance. The timing information of all control parameters is integrated to form a parameter writing rhythm schedule, so that each control parameter is recorded, waited for and taken effect in sequence according to the rate boundary and change amplitude.

8. The intelligent terminal remote control method for the intelligent heating wall panel according to claim 7, characterized in that, Based on the parameter writing rhythm, the frequency of control parameter writing is reduced within the superimposed risk zone, and control parameter changes are released sequentially under the condition of meeting the rate boundary information. This makes the control parameter effectiveness process dispersed in steps over time as follows: Based on the parameter writing rhythm, identify the distribution of control parameters within the superimposed risk zone. By aligning the parameter writing rhythm with the risk-corresponding list in time, determine the set of control parameters belonging to the risk zone and analyze the time interval and duration. By combining the rate limit conditions in the rate boundary information, the writing frequency of control parameters is reduced in the superimposed risk section, and the parameter writing time is redistributed on the time axis by extending the waiting time and the insertion delay interval. After adjusting the write frequency, the release timing of the control parameters is determined based on the rate boundary information, and the release interval is dynamically adjusted by comparing the effective interval of the parameters before and after and the change amplitude of the set value to maintain the smoothness of power change. The control process based on sequential release forms a smooth heating power change curve, which enables the control parameters to take effect in a distributed manner in the time dimension and realizes the rhythmic adjustment of power output.

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