Self-adaptive learning type hot water circulation energy-saving control system and method

Abstract

The invention provides a self-adaptive learning type hot water circulation energy-saving control system and method, and the method comprises the steps: building a hot water circulation operation state model based on the weighted fusion of an operation state of a circulating pump and a thermal state detection signal of a water return pipeline; a hot water reachability quantity representing the time scale of the hot water reaching the tail end water consumption point is generated in combination with a preset equivalent transmission path quantity; according to the reachability quantity and the reachability reference scale, calculating circulation income intensity, and according to the reachability quantity and the reachability reference scale, controlling starting, stopping and maintaining of a circulation pump; and recording the execution record of each cycle, and adaptively updating the reachability reference scale based on the deviation between the operation duration and the recent typical operation duration. According to the method, through a dynamic modeling and parameter self-learning mechanism, on the premise that the instant availability of hot water is guaranteed, invalid cycle energy consumption is effectively reduced, and the energy efficiency of the system is improved.

Description

Technical Field

[0001] This invention relates to the field of building energy conservation and intelligent control technology, and in particular to an adaptive learning-type hot water circulation energy-saving control system and method. Background Technology

[0002] Hot water circulation systems are widely used in residential, hotel, apartment and public buildings. Their main purpose is to shorten the waiting time for hot water after the end water point is turned on and improve water comfort.

[0003] However, existing hot water circulation control methods mostly rely on timed control, constant temperature control, or manual experience rules. For example, the circulation pump is started periodically according to a preset time period, or circulation is started when the return water temperature is lower than a set threshold. These solutions are simple in engineering implementation, but they generally suffer from problems such as crude control basis and low energy efficiency. Because hot water circulation pipelines usually have long paths and significant thermal inertia, once the circulation pump starts, heat transfer and energy consumption are irreversible. Existing control methods often cannot accurately determine whether starting circulation in the current system state is truly meaningful for delivering hot water, thus prematurely or repeatedly starting circulation when users have not used water or when the pipeline still has sufficient residual heat, resulting in a large amount of ineffective energy consumption. On the other hand, some systems attempt to trigger circulation in advance by learning user routines or historical water usage patterns. However, hot water usage behavior has significant uncertainty in real-world scenarios and is easily affected by factors such as changes in family members, adjustments to routines, holidays, and seasonal conditions. Simply relying on time patterns or short-term predictions makes it difficult to stably adapt to real-world usage conditions in the long term. Once prediction errors accumulate, the system will either frequently initiate cycles, leading to increased energy consumption, or fail to initiate cycles in a timely manner at critical moments, causing excessively long waiting times for users. Furthermore, the control feedback of hot water circulation systems has an inherent lag; the rationality of cycle execution can often only be indirectly reflected through actual operating results after a period of time, making it difficult to directly apply control strategies based on immediate feedback or trial-and-error mechanisms. Summary of the Invention

[0004] The purpose of this invention is to design an adaptive learning-type hot water circulation energy-saving control system and method that can adaptively adjust based on the execution results, effectively balancing energy saving, water user experience and system operation stability in practical application scenarios.

[0005] To achieve the above objectives, the first aspect of the present invention provides an adaptive learning-based energy-saving control method for hot water circulation, the method comprising: A hot water circulation operation status model is constructed, which is generated by weighted fusion of the operation status of the circulation pump and the thermal state detection signal; Based on the hot water circulation operation state model and the preset equivalent transmission path quantity, a hot water accessibility quantity is generated. The hot water accessibility quantity is used to characterize the time scale required for hot water to reach the end water point via the circulation path under the current operation state. Based on the hot water accessibility quantity and the preset accessibility reference scale, the circulation benefit intensity is calculated, and the start-up, maintenance and stop of the circulation pump are controlled according to the circulation benefit intensity. Record the execution record of this cycle control, which includes the start timestamp and stop timestamp of the circulating pump and the duration of this cycle. The reachability reference scale is updated based on the deviation between the running duration in the execution record and the recent typical running duration for the next cycle control.

[0006] Furthermore, the thermal state detection signal is acquired by a sensor installed on the return water pipe of the hot water circulation loop.

[0007] Furthermore, the equivalent transmission path quantity is determined during the system debugging phase by the time delay corresponding to the rising inflection point of the return water side thermal state signal after driving the circulating pump for a preset duration.

[0008] Furthermore, a state penalty structure is introduced when generating the hot water accessibility quantity, making the hot water accessibility quantity more sensitive to state changes when the value of the hot water circulation operation state model is low.

[0009] Furthermore, the calculation of the cycle benefit intensity includes a suppression term to suppress excessive operation of the circulation pump when the cycle benefit intensity is high.

[0010] Furthermore, after the circulating pump is started, it is forced to maintain at least one minimum operating period; after the circulating pump is stopped, it is forced to maintain at least one minimum downtime period.

[0011] Furthermore, the recent typical operating duration is determined based on the median statistical method of the operating duration in the most recent consecutive effective cyclic control records, and the number of effective cyclic control records is not less than three.

[0012] Furthermore, the update of the reachability reference scale adopts a proportional adjustment method, and the adjustment range is proportional to the deviation between the running duration and the recent typical running duration.

[0013] Furthermore, the execution record also includes a representative value of the cycle benefit intensity during this cycle control process, wherein the representative value is the average value of the cycle benefit intensity of each control cycle within the runtime period.

[0014] A second aspect of the present invention provides an adaptive learning-based energy-saving hot water circulation control system, the system comprising: The operation status modeling module is used to construct a hot water circulation operation status model based on the operation status of the circulation pump and the thermal status detection signal in the hot water circulation loop; The accessibility calculation module is used to generate a hot water accessibility quantity based on the hot water circulation operation state model and the preset equivalent transmission path quantity. The hot water accessibility quantity represents the time scale required for hot water to reach the end point of use from the circulation starting point. The circulation control module is used to calculate the circulation benefit intensity based on the hot water accessibility quantity and a preset accessibility reference scale, and control the start, maintenance or stop of the circulation pump according to the circulation benefit intensity; The parameter adaptive update module is used to update the reachability reference scale after each cycle control execution, based on the deviation between the current cycle's running duration and the recent typical running duration, for use in the next cycle control.

[0015] The beneficial technical effects of the present invention are at least as follows: To address the aforementioned problems, this invention provides an adaptive learning-based energy-saving control system and method for hot water circulation. Starting from the engineering characteristics of the hot water circulation system, it integrates the operation phase of the circulation pump with the overall thermal state of the system into a unified operating state expression. Furthermore, it maps the operating state to an accessibility quantity reflecting the time scale required for hot water to reach the end-user point under current conditions. This allows circulation control decisions to no longer rely on fixed schedules or single thresholds, but rather on accessibility judgments that match the system structure and real-time state. Based on this, the invention constructs a circulation benefit-driven mechanism directly related to the accessibility quantity, limiting the start-up, shutdown, and continuous operation of hot water circulation within a range with practical delivery significance. This effectively suppresses energy consumption caused by ineffective circulation while meeting water demand. Furthermore, this invention does not fix the control parameters but continuously statistically analyzes the results of past circulation control executions, progressively updating key parameters of the accessibility window. This allows the control strategy to gradually align with actual usage conditions over long-term operation, maintaining stability and reliability even when demand changes or operating conditions fluctuate. Through the above-mentioned technical configuration, the present invention realizes a hot water circulation energy-saving control scheme that takes the operating status and accessibility as the core and the execution result as the basis for adaptive adjustment, thereby effectively balancing energy saving, water experience and system operation stability in complex and ever-changing practical application scenarios. Attached Figure Description

[0016] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0017] Figure 1 This is a flowchart of an adaptive learning-based energy-saving control method for hot water circulation according to the present invention.

[0018] Figure 2 This is a framework diagram of an adaptive learning-type hot water circulation energy-saving control system according to the present invention. Detailed Implementation

[0019] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0020] In one or more embodiments, such as Figure 1 As shown, an adaptive learning-based energy-saving control method for hot water circulation is disclosed, the method comprising the following: S1: Construct a hot water circulation operation status model, which is generated by weighted fusion of the operation status of the circulation pump and the thermal state detection signal; Specifically, this step focuses on the objective state of the hot water circulation system in actual operation. Its goal is to transform the operational information scattered across different devices and control nodes into a unified operational state model that can be directly used by subsequent steps. This operational state model is used to characterize the overall operational level of the system at a certain moment, providing a direct basis for subsequent judgments on whether the hot water has a realistic basis for recirculation under current conditions.

[0021] In its implementation, the system first establishes an information acquisition channel for operational data within the circulation controller. The operating status of the circulation pump is directly provided by the circulation pump control module, which typically exists in the form of relay status, drive signals, or internal operating flags. The controller periodically reads this status to determine whether the circulation pump is in operation or has just completed a cycle. Simultaneously, the system selects a location in the hot water circulation loop that reflects the overall thermal state to acquire a thermal status detection signal. This location could be the return water pipe, mixing node, or other measuring points considered representative of the overall system thermal level in engineering practice. This thermal status signal exists in the controller as a continuously updated numerical value, reflecting the relative change in residual heat in the pipeline. Furthermore, the system acquires water usage event identifiers from the control or detection modules at the end-point water usage points. These identifiers typically exist in the form of valve opening signals, flow trigger signals, or equivalent event flags, indicating whether actual water usage has occurred recently or currently, thus providing supplementary information for determining the system's operational phase.

[0022] After collecting the aforementioned operational information, the system does not directly judge a single signal. Instead, it maps the circulating pump's operating status to the system's thermal state, forming a comprehensive description of the current operating status. The engineering significance of this is that the circulating pump status reflects the system's operational continuity over time, while the thermal state signal reflects the system's remaining energy level. Combining the two effectively avoids misjudgments caused by relying on a single signal. For example, shortly after a cycle ends, the circulating pump may have stopped operating, but the pipeline may still retain a high level of heat. Similarly, when the system has been idle for a long time but environmental conditions are relatively stable, the thermal state signal may change slowly, but the circulating pump status clearly indicates that the system has entered a standby phase. By combining these two types of information, the operational status model can more realistically reflect whether the system is currently in a state where re-circulation is feasible.

[0023] The operational state model is calculated in the following way: ; in, This represents the comprehensive state quantity of the hot water circulation operation state model, which is used to describe the overall operating level of the system at the current moment. This indicates the operating status of the circulating pump. This quantity is provided by the circulating pump control module and is used to reflect whether the system is currently or recently in the circulation operation phase. This represents the system's thermal state quantity, which is obtained from the thermal state detection signal in the hot water circulation loop and is used to reflect the relative level of residual heat in the pipeline; and The weighting coefficient is used to adjust the proportion of influence of operating state factors and thermal state factors in the overall state quantity. This weight is set during the system installation or commissioning phase based on the specific pipeline length, insulation conditions, and circulation capacity, and remains consistent throughout system operation. In actual operation, the controller refreshes the operating state model according to a preset update cycle. Each refresh is based on the latest collected circulation pump state and thermal state information, allowing the operating state model to continuously evolve with the system operation. This model is stored numerically in the controller and serves as direct input for subsequent hot water accessibility analysis, eliminating the need for separate processing of circulation pump state or thermal state signals in subsequent calculations, instead focusing on a unified state representation.

[0024] S2: Based on the hot water circulation operation state model and the preset equivalent transmission path quantity, generate the hot water accessibility quantity, which is used to characterize the time scale required for hot water to reach the end water point via the circulation path under the current operation state. Specifically, based on the hot water circulation operation state model formed in step S1, this step further addresses the question of "how to quantify the time scale corresponding to the arrival of hot water at the point of use after initiating hot water circulation under the current operation state." The operation state model has integrated the operation phase of the circulation pump with the overall thermal state of the system into a unified state expression, but this state itself remains at the level of "what state the system is in," and is insufficient to directly support the judgment of whether to execute circulation control. Therefore, the core of this step lies in transforming the operation state model into an accessibility quantity directly corresponding to the actual hot water delivery process, enabling the system to clearly understand the time cost required for hot water to reach the end point under the current conditions.

[0025] In the specific implementation, this step only uses the running state model output in step S1. As a dynamic input, the circulation pump status or thermal status signal is no longer reread. The controller internally stores the equivalent transmission path quantities related to the hot water circulation system structure. This quantity is obtained during the system installation or commissioning phase through a standardized short-term cycle operation: the controller drives the circulating pump to run for a preset time while continuously collecting the thermal state signal on the return water side. When a significant inflection point in the thermal state is detected, the relative time delay of this inflection point is recorded and used as the equivalent transmission path quantity for the system or the zone. This method can naturally integrate factors such as pipe length, loop layout, local resistance, and insulation differences, making... These parameters are designed to fit specific hot water circulation scenarios and remain unchanged during subsequent operation.

[0026] Based on the above inputs, this step constructs a hot water accessibility model in the controller to describe the time scale corresponding to hot water reaching the point of use via the circulation path under the current operating state. Considering that the hot water circulation system often exhibits significant nonlinear characteristics in the low operating state range, such as a significantly longer arrival time when the circulation is started for the first time after a long period of stagnation, this step introduces a state penalty structure into the accessibility model. This makes the accessibility quantity more sensitive to changes when the state is low, thus providing a more stable basis for subsequent window generation. The hot water accessibility model is calculated as follows: ; in, This represents the output of the hot water accessibility model, used to characterize the time scale corresponding to hot water reaching the point of use via circulation under the current operating conditions; The equivalent transmission path quantity is obtained and solidified by the system debugging phase through standardized short-time cycles and the inflection point of the thermal state on the return water side. The hot water circulation operation status model output in step S1 is continuously updated by the controller during operation. This represents a smoothing term, used to ensure the continuity of reachability changes when the operating state is close to the low value range. This term is set and remains unchanged during the debugging phase. This represents the state penalty coefficient, which is used to adjust the correction strength of reachability quantities when the operating state deviates from the ideal range. This coefficient is also set during the commissioning phase based on the system loop complexity and insulation level.

[0027] During operation, the controller executes the reachability calculation process according to a fixed update rhythm: reading the latest operating state model. Select the equivalent transmission path quantity for the corresponding controlled object. Substitute the values ​​into the calculation to obtain the current hot water availability quantity. This result is then stored as a direct input for the next control stage. In this way, reachability quantities can continuously evolve with changes in the system's operating state; for example, immediately after the end of a cycle, Higher, corresponding Significantly reduced; however, after the system has not been running for a long time, Gradually decreasing, penalty items begin to have a greater weight, making The increase is significant, thus truly reflecting the time cost required for hot water to reach the end under current conditions.

[0028] S3: Based on the hot water accessibility quantity and the preset accessibility reference scale, calculate the circulation benefit intensity, and control the start, maintenance and stop of the circulation pump according to the circulation benefit intensity; Specifically, the hot water accessibility model is obtained in step S2. Next, this step directly translates the "time scale required for hot water to reach the terminal under current conditions" into the start-up, shutdown, and operation rhythm of the circulation pump, thus applying the reachability analysis to actual energy-saving control actions. The engineering characteristics of hot water circulation are: once circulation starts, heat is pushed along the loop, and energy consumption is immediately generated; if circulation starts too early or continues for too long, it can easily carry away residual heat that could have been naturally maintained, accelerating heat dissipation. Based on this characteristic, this step... As the sole input, a "cycle benefit intensity" is constructed within the controller to represent the realistic value of starting and maintaining the cycle under the current reachability conditions. This benefit intensity drives the start-up, shutdown, operation maintenance, and stop strategies of the circulation pump, so that the pump's operating time is concentrated in the range with higher benefits as much as possible, avoiding long-term operation in the range with lower benefits.

[0029] The controller reads the latest data in each control cycle. And based on the reachability reference scale set during the commissioning phase. Calculate the intensity of cyclic returns . The setting method is directly related to the scene: in a residential scene, The value is used to correspond to the common "acceptable waiting time after turning on the tap"; in hotel or apartment scenarios, More stringent targets can be set according to service standards. To ensure that control behavior can respond quickly to the state of "significantly improved accessibility" while avoiding frequent starts and stops in the critical range, this step... The expression incorporates a term to suppress "overly aggressive operation," ensuring that the return intensity remains agile in the high-return range and naturally dulls in the critical range, thereby reducing the risk of ineffective operation and volatility. The cyclical return intensity is calculated as follows: ; in, This represents the intensity of the cycle benefit, calculated by the controller in each control cycle, and is used to drive the start-up, shutdown, and maintenance strategies of the circulating pump. This indicates that the hot water accessibility model output in step S2 is directly read by the controller. It represents the reachability reference scale and is written into the controller configuration parameters during the system debugging phase; This represents the suppression coefficient, set during the commissioning phase based on the loop insulation level and pump capacity. It is used to suppress the tendency to over-operate in the high-yield range, making the control more biased towards the energy-saving goal of "just enough." The above structure allows when... Significantly smaller than hour, Larger It remains positive and reflects returns; when near At that time, the revenue item approaches zero. Natural decay; when the benefit term is large, the squared suppression term is enhanced, making the control more inclined to adopt "short and effective" operating segments rather than long continuous operation.

[0030] based on As a result, the controller organizes a single-cycle control into three consecutive phases: "start-up—maintenance—stop," and stably implements the control actions through an engineered operating rhythm. In the start-up phase, the controller sends a start command to the circulating pump drive module, which can be a relay output or a frequency converter drive interface. The controller synchronously records the start-up timestamp after sending the start command. In the maintenance phase... As a real-time reference, it is recalculated in each control cycle. And determine whether to continue running. In practice, a common approach is to... The change serves as "maintaining strength" when It is allowed to continue running when it is at a higher level, when When the temperature drops and approaches the critical point, the system enters a stop preparation phase. During the stop phase, the controller sends a stop command to the circulating pump drive module and records the stop timestamp. To ensure that the control actions conform to the objective characteristics of the hot water system—high thermal inertia and slow state changes—the controller employs fixed rhythm constraints when executing the above three phases: after startup, it maintains at least one minimum operating period to ensure that the circulating action has a real effect on end-point accessibility; after stopping, it maintains at least one minimum shutdown period to avoid frequent short-cycle starts and stops near the critical state. These rhythm constraints are implemented using a timer within the controller, which uses the start and stop timestamps as the timer reference. The drive module only receives valid start and stop commands from the controller after the rhythm constraints are met, thus transforming accessibility-driven energy-saving control into an engineering behavior that can operate stably for a long time.

[0031] This step generates a loop control execution record after completing one control cycle. It is used to structurally solidify the control behavior within the cycle. The controller generates the structure in memory and writes it to local storage at the end of the cycle. Its contents include at least: the circulation pump start timestamp, the circulation pump stop timestamp, and the data for that cycle. The representative value (e.g., the average result after accumulating over control cycles within the operating segment) and the operating duration calculated from the start and stop timestamps. The controller generates a new value in the same way in the next control cycle. This creates a continuous sequence of execution records, which subsequent steps use to adjust the control parameters, gradually adapting the control strategy to actual operating conditions over long-term operation. The output of this step is the cyclic control execution record. This record is automatically generated and stored by the controller when executing start and stop commands, and fully reflects the energy-saving control actions actually taken by the system under current accessibility conditions and their continuous characteristics.

[0032] S4: Record the execution record of this cycle control, the execution record including the start time stamp and stop time stamp of the circulation pump and the running duration of this cycle; based on the deviation between the running duration in the execution record and the recent typical running duration, update the reachability reference scale for the next cycle control; Specifically, in step S3, based on the hot water accessibility model After completing one hot water circulation energy-saving control cycle, the controller has generated and stored the cycle control execution record. This record includes not only the start and stop timestamps of the circulating pump, but also the reachability reference scale parameters used during the execution of that cycle. The values ​​of and representative statistics of the circulation benefit intensity within the operating segment (e.g., the results of sampling by control cycle and averaging within the operating segment). This step revolves around these actual execution results, enabling the system to transform "how this round of control actually performed" into "what window parameters are more suitable for the next round of control", thereby allowing the hot water circulation to gradually converge towards a more energy-efficient and stable start-stop rhythm during long-term operation.

[0033] When the controller enters this step, it reads the execution record generated in the most recent control cycle from the local storage area. The duration of the current cycle is directly obtained from the start and stop timestamps. To ensure that parameter updates match the thermal inertia of the hot water cycle, the controller also maintains a lightweight cycle record queue in the storage area, which only stores the execution records of the most recent few cycles. The necessary fields are used to form a reference value for "recent typical runtime". This reference value does not rely on additional sensors, does not require the introduction of new data types, and is derived entirely from existing execution records. To avoid interference from individual abnormal cycles in the update, the controller adopts a "median-first" statistical method when calculating the reference value. That is, the records in the queue are first sorted by runtime, and then the median position is taken as the representative value, making the reference value more consistent with recent typical control results. The practical significance of this approach is that abnormal cycles in hot water circulation systems usually come from temporary factors, such as a sudden long water usage period or a period that happens to coincide with the initial startup of the heat source. Median statistics are more robust to such anomalies.

[0034] After completing the above preparations, the controller will execute the recording. Carried in This serves as the current parameter baseline, and the deviation between the "current cycle runtime" and the "recent typical runtime" drives parameter updates. A positive deviation indicates that the current cycle is running too long, and the controller will adjust the runtime for the next cycle. The control is being adjusted in a more cautious direction, making step S3 more inclined to shorten the running segment under similar reachability conditions; when the deviation is negative, it indicates that the cycle is too short, and the controller will adjust the next cycle's... Adjustments are made towards greater agility, making it easier for step S3 to form an effective cycle under similar accessibility conditions. To allow the adjustment magnitude to adapt to the size of the deviation, this step uses a proportional update, so that the more significant the deviation, the more obvious the adjustment; and the smaller the deviation, the slighter the adjustment, thus aligning with the engineering characteristics of hot water systems: "slow state changes, gradual adjustments." Parameter updates are accomplished as follows: ; in, Indicates from the execution record The reachability reference scale parameter for this period is read from the middle. This indicates the reachability reference scale parameter that is updated, written to the parameter storage area, and used by step S3 in the next control cycle. Indicates execution record The duration of the current cycle is calculated from the start timestamp and stop timestamp; This represents the typical runtime calculated from the recent execution record queue (using the median as a representative value). This indicates the update step size coefficient, which is written into the controller configuration during the debugging phase. It is used to limit the adjustment intensity of each cycle, so that the parameters evolve gradually over time without abrupt changes.

[0035] In terms of engineering implementation, the controller completes... After calculation, the result is written to the parameter area of ​​the non-volatile storage area, and the cached value of "currently effective parameter" is updated in memory. The next time step S3 is entered, the controller directly reads this cached value as... This allows parameter updates and control execution to be seamlessly integrated through the same data link within the controller. For example, when a household experiences concentrated water usage in the evening, causing multiple cycle runs to significantly lengthen, the recent typical runtime will increase accordingly. If the runtime of a particular cycle continues to exceed the typical value, This will lead to a more cautious approach, making subsequent cycles more inclined towards "short and effective" operation phases; when water usage becomes more fragmented and the duration of each cycle is shorter, This will push the system towards greater agility, making it easier to establish timely cycles as reachability conditions improve. Through this periodic update based on real execution records, the window parameters evolve with changes in usage status and directly alter the parameters in step S3. This is mapped to the boundary position of the cycle benefit intensity, thus allowing energy-saving control to maintain a rhythm that closely matches actual operating conditions during long-term operation.

[0036] In one or more embodiments, such as Figure 2 As shown, an adaptive learning-based hot water circulation energy-saving control system is disclosed, the system comprising: The operation status modeling module is used to construct a hot water circulation operation status model based on the operation status of the circulation pump and the thermal status detection signal in the hot water circulation loop; The accessibility calculation module is used to generate a hot water accessibility quantity based on the hot water circulation operation state model and the preset equivalent transmission path quantity. The hot water accessibility quantity represents the time scale required for hot water to reach the end point of use from the circulation starting point. The circulation control module is used to calculate the circulation benefit intensity based on the hot water accessibility quantity and a preset accessibility reference scale, and control the start, maintenance or stop of the circulation pump according to the circulation benefit intensity; The parameter adaptive update module is used to update the reachability reference scale after each cycle control execution, based on the deviation between the current cycle's running duration and the recent typical running duration, for use in the next cycle control.

[0037] It is worth noting that the specific workflow of the adaptive learning hot water circulation energy-saving control system provided in this embodiment of the invention is the same as that of the adaptive learning hot water circulation energy-saving control method described in the above embodiment, and will not be repeated here.

[0038] This invention also provides an adaptive learning-type hot water circulation energy-saving control device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the steps described in the above-described embodiment of the adaptive learning-type hot water circulation energy-saving control method, for example... Figure 1 The steps S1 to S4 described above; or, when the processor executes the computer program, it implements the functions of each module in the above system embodiments.

[0039] For example, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the adaptive learning type hot water circulation energy-saving control device.

[0040] The adaptive learning-type hot water circulation energy-saving control device can be a desktop computer, laptop, handheld computer, or cloud server, etc. This device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the device may also include input / output devices, network access devices, buses, etc.

[0041] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the adaptive learning-type hot water circulation energy-saving control device, connecting all parts of the device via various interfaces and lines.

[0042] The memory can be used to store the computer program and / or modules. The processor implements various functions of the adaptive learning-type hot water circulation energy-saving control device by running or executing the computer program and / or modules stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the operation of the air conditioner controller, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD card), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0043] The module integrated into the adaptive learning-type hot water circulation energy-saving control device, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0044] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0045] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A self-adaptive learning type hot water circulation energy saving control method, characterized in that, The method comprises: constructing a hot water circulation operation state model by fusing the operation state of the circulating pump and the hot state detection signal; based on the hot water circulation operation state model and the preset equivalent transmission path quantity, generating a hot water accessibility quantity, which is used to represent the time scale required for hot water to reach the terminal water consumption point via the circulation path under the current operation state; based on the hot water accessibility quantity and the preset accessibility reference scale, calculating the circulation benefit intensity, and controlling the start, maintenance and stop of the circulating pump according to the circulation benefit intensity; recording the execution record of this circulation control, which includes the start time stamp, the stop time stamp of the circulating pump and the operation duration of this circulation; based on the deviation of the operation duration in the execution record and the recent typical operation duration, updating the accessibility reference scale for the next circulation control.

2. The self-adapting learning type hot water circulation energy-saving control method according to claim 1, characterized in that, The hot state detection signal is obtained by a sensor arranged on the hot water circulation loop return pipe.

3. The adaptive learning type hot water circulation energy saving control method according to claim 1, characterized in that, The equivalent transmission path quantity is determined by driving the circulating pump to run for a preset duration and detecting the time delay corresponding to the rising inflection point of the hot state signal on the return side during the system debugging stage.

4. The adaptive learning type hot water circulation energy saving control method according to claim 1, characterized in that, The state penalty structure is introduced when generating the hot water accessibility quantity, so that the hot water accessibility quantity is more sensitive to state changes when the hot water circulation operation state model value is low.

5. The adaptive learning type hot water circulation energy saving control method according to claim 1, characterized in that, The calculation of the circulation benefit intensity contains a suppression term for suppressing the overrunning of the circulating pump when the circulation benefit intensity is high.

6. The adaptive learning type hot water circulation energy saving control method according to claim 1, characterized in that, After controlling the start of the circulating pump, at least one minimum running period is forced to be maintained; after controlling the stop of the circulating pump, at least one minimum downtime is forced to be maintained.

7. The adaptive learning type hot water circulation energy saving control method according to claim 1, characterized in that, The recent typical operation duration is determined by median statistical method based on the operation duration in the recent continuous effective circulation control record, and the number of the effective circulation control records is not less than three.

8. The adaptive learning type hot water circulation energy saving control method according to claim 1, characterized in that, The updating of the accessibility reference scale adopts a proportional adjustment method, and the adjustment amplitude is proportional to the deviation of the operation duration and the recent typical operation duration.

9. The self-adapting learning type hot water circulation energy-saving control method according to claim 1, characterized in that, The execution record further includes a representative value of the circulation benefit intensity in the current circulation control process, and the representative value is the average value of the circulation benefit intensity in each control cycle during the running period.

10. An adaptive learning type hot water circulation energy saving control system, characterized by, The system comprises: an operation state modeling module, configured to construct a hot water circulation operation state model based on the operation state of the circulating pump and the hot state detection signal in the hot water circulation loop; an accessibility calculation module, configured to generate a hot water accessibility quantity based on the hot water circulation operation state model and a preset equivalent transmission path quantity, the hot water accessibility quantity representing the time scale required for hot water to reach the terminal water consumption point from the circulation starting point; a circulation control module, configured to calculate a circulation benefit intensity based on the hot water accessibility quantity and a preset accessibility reference scale, and control the start, maintenance or stop of the circulating pump according to the circulation benefit intensity; a parameter self-adaptive updating module, configured to update the accessibility reference scale based on the deviation of the operation duration of this circulation and the recent typical operation duration after each circulation control execution is completed, for the next circulation control.

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