A temperature compensation method and device for a stock heat station and electronic equipment

Abstract

The application provides a kind of inventory heat station temperature compensation method, device and electronic equipment, including obtaining the supply and return water temperature difference of inventory heat supply station and the inventory working condition characteristics of service area;Inventory working condition characteristics include inventory correction coefficient and aging attenuation factor;The supply and return water temperature difference is compensated based on inventory correction coefficient and aging attenuation factor, and the supply and return water temperature difference compensation amount is obtained;Based on the correction supply and return water temperature difference compensation amount, the basic water supply temperature preset for inventory heat supply station is corrected, and the first target water supply temperature is obtained.The application introduces inventory working condition characteristics, solves the problem that traditional static compensation cannot adapt to the increase of old pipe network resistance and building insulation attenuation, and improves the long-term accuracy of load matching.

Description

Technical Field

[0001] This invention relates to the field of heating control technology, and more specifically, to a temperature compensation method, device, and electronic equipment for existing heating stations. Background Technology

[0002] Currently, existing heat exchange stations account for over 90% of all operating heating stations in urban areas, serving as core infrastructure for winter residential heating, regional heat load matching, and heating energy consumption management. These existing heating stations generally suffer from common problems such as long construction dates, outdated PLC control hardware, scaling and corrosion of secondary pipe networks over long-term operation, and aging and deterioration of building exterior wall insulation. This leads to a decrease in load matching accuracy as operating time increases.

[0003] Currently, existing technologies mainly rely on static temperature compensation parameters for compensation, which cannot adapt to the problems of increased resistance in aging pipelines and reduced building insulation, thus affecting the operational efficiency of existing heating stations. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a temperature compensation method, device and electronic equipment for existing heating stations, so as to achieve precise adaptive control of existing heating stations and improve the long-term accuracy of load matching.

[0005] Firstly, a method for temperature compensation of existing heating stations is provided, including: Obtain the supply and return water temperature difference of existing heating stations and the existing operating conditions of the service areas; the existing operating conditions include the existing correction coefficient and the aging and degradation factor; The supply and return water temperature difference is compensated based on the stock correction coefficient and aging attenuation factor to obtain the supply and return water temperature difference compensation amount. Based on the compensation amount for the temperature difference between the supply and return water, the preset basic supply water temperature of the existing heating station is corrected to obtain the first target supply water temperature.

[0006] Optionally, the existing operating condition characteristics of the service areas of existing heating stations can be obtained, including: Obtain the construction year, pipeline laying year, and external wall insulation level attributes of each community within the service area; Based on the currently read attribute values, the current stock correction coefficient and aging attenuation factor are matched in the pre-built aging mapping rule library; the preset aging mapping rule library establishes a correspondence between the community construction years, pipeline laying years and external wall insulation level attributes and the stock correction coefficient and aging attenuation factor.

[0007] Optionally, the method also includes: Collect indoor temperature data for each household within the entire service area; The average indoor temperature of the entire area is determined based on the indoor temperature data of each household, and the average indoor temperature is compared with the preset indoor temperature value to determine the indoor temperature deviation value. Based on the indoor temperature deviation value and the preset indoor temperature correction coefficient, the first target water supply temperature is corrected to obtain the second target water supply temperature.

[0008] Optionally, the method also includes: Collect all-weather time-series outdoor temperature data for the entire service area; The outdoor temperature time series data are processed by moving average to obtain the long-term average outdoor temperature. Based on the deviation between the average outdoor temperature over a long time scale and the preset outdoor reference temperature, and combined with the preset climate correction weights, the climate compensation temperature value is determined. The climate-compensated temperature value is used to correct the second target water supply temperature to obtain the third target water supply temperature.

[0009] Optionally, the method also includes: Get the current runtime segment identifier; Based on the preset mapping relationship between time periods and basic water supply temperature benchmarks, the basic water supply temperature benchmarks corresponding to the operating time period identifiers are determined. The basic water supply temperature benchmark is used as the basic water supply temperature.

[0010] Optionally, the preset mapping relationship between time periods and the baseline water supply temperature includes: During daytime hours, the baseline water supply temperature is mapped to the first temperature value. During nighttime hours, the baseline water supply temperature is mapped to a second temperature value; wherein the first temperature value is greater than the second temperature value.

[0011] Optionally, the method also includes: Obtain historical operation sequence data of existing heating stations; Extract fault-free timing samples within a preset time window from historical runtime timing data; A linear regression algorithm is used to update the stock correction coefficients and / or decay factors based on fault-free time-series samples.

[0012] Optionally, the method also includes: Monitor the operational status of existing heating stations; When preset energy efficiency anomaly conditions are met, an energy efficiency warning message is generated and output; energy efficiency anomaly conditions include: the average indoor temperature of the area deviates from the preset standard indoor temperature range for a consecutive preset number of days, the nighttime basic water supply temperature is continuously equal to the daytime basic water supply temperature benchmark, or the circulating pump is continuously in power frequency operation.

[0013] Secondly, a temperature compensation device for existing heating stations is provided, comprising: The acquisition unit is used to acquire the supply and return water temperature difference of existing heating stations and the existing operating conditions of the service area; the existing operating conditions include the existing correction coefficient and the aging and degradation factor. The compensation unit is used to compensate for the temperature difference between the supply and return water based on the stock correction coefficient and the aging attenuation factor, so as to obtain the compensation amount for the temperature difference between the supply and return water. The correction unit is used to correct the preset base water supply temperature of the existing heating station based on the correction of the supply and return water temperature difference compensation amount, so as to obtain the first target water supply temperature.

[0014] Thirdly, an electronic device is provided, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements any of the methods of the first aspect.

[0015] This invention provides a temperature compensation method, device, and electronic equipment for existing heating stations. It acquires the supply and return water temperature difference of the existing heating station and the existing operating conditions characteristics of the service area. These operating conditions include a correction coefficient and an aging degradation factor. The supply and return water temperature difference is compensated based on the correction coefficient and aging degradation factor to obtain the compensation amount. Based on the corrected supply and return water temperature difference compensation amount, the preset base supply water temperature of the existing heating station is corrected to obtain a first target supply water temperature. By introducing existing operating conditions characteristics (including the correction coefficient and aging degradation factor), this invention can identify and quantify the degradation state of the heating station's physical performance, thereby providing targeted compensation for the supply and return water temperature difference. This solves the problem that traditional static compensation cannot adapt to the increased resistance of aging pipe networks and the degradation of building insulation, improving the long-term accuracy of load matching.

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart of the temperature compensation method for existing heating stations provided in an embodiment of the present invention is shown; Figure 2 A flowchart of another temperature compensation method for existing heating stations provided by an embodiment of the present invention is shown; Figure 3 This diagram illustrates the structure of a temperature compensation device for an existing heating station provided in an embodiment of the present invention. Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present invention is shown. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, this embodiment provides a temperature compensation method for existing heating stations. The method mainly includes the following steps: Step S101: Obtain the supply and return water temperature difference of existing heating stations and the existing operating conditions of the service area.

[0021] The characteristics of existing operating conditions include the existing correction factor and the aging degradation factor.

[0022] Specifically, the supply and return water temperature difference is a physical quantity that is collected in real time by temperature sensors deployed on the primary or secondary side pipelines of the heating station, reflecting the actual heat exchange status of the heating system at the current moment.

[0023] The stock condition characteristics are a set of parameters characterizing the physical performance degradation of the heating system. Among them, the stock correction coefficient mainly reflects the differences in the basic attributes of the building body and pipe network within the service area, such as the impact of static attributes like the construction year and external wall insulation level of different communities on heat demand; the aging degradation factor is used to quantify the degree of heat loss caused by the increase in hydraulic resistance due to scaling and corrosion on the inner wall of the pipe network and the degradation of building insulation materials over time.

[0024] Step S102: Compensate for the supply and return water temperature difference based on the stock correction coefficient and aging attenuation factor to obtain the supply and return water temperature difference compensation amount.

[0025] Under ideal new standard operating conditions, the design supply and return water temperature difference of a heating system is fixed.

[0026] However, in existing systems, due to the aforementioned aging and degradation factors, the actual supply and return water temperature difference required to maintain the same room temperature will change.

[0027] The supply and return water temperature difference compensation is the quantitative correction value for this change.

[0028] The calculation logic of this compensation amount is to adjust the theoretical design temperature difference using the stock correction coefficient and aging attenuation factor to reflect the additional heat loss or hydraulic imbalance caused by physical performance degradation in actual operation.

[0029] For example, when the aging degradation factor is large, it means that the heat transfer efficiency of the pipeline network is reduced or the resistance is increased. The system needs a larger temperature difference or a higher supply water temperature to compensate for the heat loss. At this time, the calculated compensation amount will increase accordingly, which will be reflected in the subsequent temperature setting.

[0030] Step S103: Based on the compensation amount for the temperature difference between the supply and return water, the preset basic supply water temperature of the existing heating station is corrected to obtain the first target supply water temperature.

[0031] The base water supply temperature is usually determined based on the traditional static climate compensation curve and the initial set value determined according to the current outdoor temperature.

[0032] This step applies the supply and return water temperature difference compensation obtained in step S102 to the basic supply water temperature, thereby calculating the first target supply water temperature.

[0033] This process essentially incorporates the physical degradation characteristics of the existing system into the base temperature setting, so that the final target water supply temperature is no longer a static value based on an ideal model, but a dynamic benchmark value that has been initially adapted to the current aging state of the pipe network and buildings.

[0034] This approach solves the problem that traditional static compensation curves cannot automatically adjust with the aging of pipe networks and the decline of building insulation, leading to insufficient or excessive heating, and provides a more accurate starting point for subsequent refined regulation.

[0035] In some embodiments, obtaining the existing operating condition characteristics of the service area of ​​existing heating stations includes: Step S101A: Obtain the construction year, pipeline laying year, and external wall insulation level attributes of each community within the service area.

[0036] The construction life reflects the initial thermal performance of the building envelope and the degree of natural aging over time; the laying life of the pipeline network is directly related to changes in hydraulic resistance and heat transfer efficiency caused by scaling and corrosion on the inner wall of the pipes; the external wall insulation grade characterizes the insulation capacity of the building itself, and is usually divided into insulated (such as Grade A, Grade B) and uninsulated levels. These attributes together determine the heat loss characteristics of the heating system during operation.

[0037] Step S101B: Based on the currently read attribute value, match the current stock correction coefficient and aging decay factor in the pre-built aging mapping rule library.

[0038] The preset aging mapping rule library establishes a correspondence between the building age of the community, the pipeline laying age, the external wall insulation level attributes, the stock correction coefficient, and the aging attenuation factor.

[0039] The rule base can be represented as a lookup table, decision tree, or set of function maps.

[0040] In practical applications, the system first reads the basic archive data of each community within the service area, extracting three key dimensions: construction year, pipeline laying year, and external wall insulation level. Subsequently, the system uses the extracted attribute combinations as index keys to perform searches and matching in the aging mapping rule base, thereby obtaining the corresponding stock correction coefficient. and aging degradation factor .

[0041] To illustrate this application more clearly, the following explanation uses a specific mapping logic as an example: Assuming the aging mapping rule base adopts a hierarchical lookup table method, the construction period is divided into three intervals: less than 5 years, 5 to 10 years, and greater than 10 years; the pipeline laying period is divided into two intervals: less than 10 years and greater than or equal to 10 years; and the external wall insulation level is divided into three levels: Grade A (high-efficiency insulation), Grade B (ordinary insulation), and Grade C (no insulation or insulation failure).

[0042] When the construction period of a certain community is 8 years (belonging to the 5-10 year range), the pipeline laying period is 12 years (belonging to the ≥10 year range), and the external wall insulation level is B, the combination key matched by the system in the rule base is [5-10 years, ≥10 years, B level].

[0043] According to the preset mapping table, the corresponding stock adjustment coefficient for this combination It might be set to 1.15, indicating that compared to a standard newly built residential area, this area requires an additional 15% of basic heat load compensation due to its building age and insulation level; aging degradation factor. It can be set to 0.08, which represents the additional attenuation coefficient caused by long-term operation of the pipeline network.

[0044] These values ​​are not fixed, but rather empirical or theoretical values ​​derived from a large amount of historical operational data.

[0045] It should be understood that the above mapping relationship is not static. At the beginning of the heating season, maintenance personnel can enter or confirm the attribute information of each community at once through the human-computer interaction interface to complete the matching of initial parameters.

[0046] In subsequent operation, as maintenance measures such as pipeline cleaning and building insulation renovation are implemented, or when the original matching deviation is found to be large as operational data is accumulated, the corresponding entries in the aging mapping rule base can be dynamically updated.

[0047] For example, if it is detected that the hydraulic resistance of a certain community has decreased significantly after the pipeline cleaning, the attenuation weight corresponding to the pipeline laying years can be adjusted manually or automatically, so as to rematch a more accurate aging attenuation factor η.

[0048] This mechanism ensures that the existing operating conditions can accurately reflect the current physical state of the heating system, providing a reliable data foundation for subsequent temperature compensation calculations.

[0049] While the primary target water supply temperature takes into account the aging and degradation of the pipe network and buildings, it still does not include feedback information on the actual thermal comfort at the point of use. To eliminate uneven heating and cooling in different areas caused by hydraulic imbalance or localized insulation defects, this embodiment introduces a closed-loop room temperature correction mechanism.

[0050] In some embodiments, after obtaining the first target water supply temperature, the method further includes: Step S104: Collect indoor temperature data for each household within the entire service area.

[0051] Specifically, by deploying individual room temperature collection terminals (such as LoRa wireless temperature sensors) in each building and unit of the service area, a large amount of scattered indoor temperature data is collected in real time.

[0052] Step S105: Determine the average indoor temperature of the entire area based on the individual household indoor temperature data, and compare the average indoor temperature with the preset indoor temperature value to determine the indoor temperature deviation value.

[0053] During the data processing stage, obviously abnormal fault data (such as extreme or suspended values ​​caused by sensor offline) are first removed. Then, the remaining valid data are weighted averaged or arithmetic averaged to calculate the overall average indoor temperature reflecting the overall temperature of the entire service area.

[0054] The calculated average indoor temperature for the entire area is compared with a preset standard indoor temperature value (such as the median of the comfort temperature range specified by national standards, such as 20℃). The difference between the two is the indoor temperature deviation value. If the average indoor temperature is higher than the preset value, it indicates that the area is overheated and there is energy waste; if it is lower than the preset value, it indicates that the heating supply is insufficient and affects the comfort of residents.

[0055] Step S106: Based on the indoor temperature deviation value and the preset indoor temperature correction coefficient, the first target water supply temperature is corrected to obtain the second target water supply temperature.

[0056] The preset indoor temperature correction factor (which reflects the amount of water supply temperature adjustment required per unit of room temperature deviation, and is usually a small proportional factor to avoid over-adjustment) is used to calculate the room temperature correction amount.

[0057] By adding this room temperature correction to the first target water supply temperature, a second target water supply temperature that better meets the actual user needs and balances the overall water supply temperature can be obtained.

[0058] Traditional static climate compensation often relies solely on instantaneous outdoor temperatures for regulation. However, buildings exhibit significant thermal inertia, with their temperature changes lagging behind air temperature changes. Drastic fluctuations in instantaneous temperature (such as short-term gusts or changes in solar radiation due to cloud cover) directly used as control inputs can lead to frequent and significant oscillations in water supply temperature, causing wear and tear on actuators (valves, pumps) and instability in the hydraulic conditions of the pipe network. Therefore, this embodiment introduces a meteorological time-series smoothing mechanism.

[0059] Furthermore, the method also includes: Step S107: Collect all-weather outdoor temperature time-series data for the entire service area.

[0060] Outdoor temperature data is continuously collected through an all-weather meteorological time series acquisition terminal to form a time series.

[0061] Step S108: Perform a moving average process on the outdoor temperature time series data to obtain the average outdoor temperature over a long time scale.

[0062] The time series data is processed using a moving average (e.g., a 24-hour moving average algorithm) to filter out high-frequency noise and transient abrupt changes, extracting the long-term average outdoor temperature that reflects recent meteorological trends. This average value is more representative of the actual thermal environment experienced by the building envelope.

[0063] Step S109: Based on the deviation between the average outdoor temperature over a long time scale and the preset outdoor reference temperature, and combined with the preset climate correction weights, determine the climate compensation temperature value.

[0064] Calculate the deviation between the long-time average outdoor temperature and a preset outdoor reference temperature (usually the local heating design outdoor temperature or a reference temperature point). This deviation characterizes the degree of deviation of current meteorological conditions from standard design conditions.

[0065] Then, by combining the preset climate correction weights (which reflect the sensitivity of temperature changes to the heating load, i.e. the slope factor of the climate compensation curve), the climate compensation temperature value is calculated.

[0066] Step S110: Correct the second target water supply temperature with the climate compensation temperature value to obtain the third target water supply temperature.

[0067] Specifically, the correction formula for the third target water supply temperature is as follows:

[0068] in, The third target water supply temperature, in °C; Basic water supply temperature varies by time of day: 10-14℃ during the day and 6-10℃ at night. Average outdoor temperature over the past 24 hours, in °C; Outdoor temperature as the reference for heating design, in °C; Average indoor temperature across the entire area, in °C; Indoor reference temperature, in °C; Climate correction weights; Indoor temperature correction factor; : Stock adjustment coefficient; : Aging degradation factor; : Supply and return water temperature difference.

[0069] In summary, the third target water supply temperature is a multi-dimensional coupling result that integrates basic operating conditions, existing aging characteristics, terminal room temperature feedback, and temporal meteorological trends.

[0070] The underlying logic can be understood as follows: on top of the base water supply temperature, a temperature difference compensation reflecting the physical degradation of the system, a room temperature deviation correction reflecting the comfort of the end user, and a climate compensation temperature value reflecting the cumulative effect of meteorological conditions are successively superimposed. This multi-level progressive correction strategy not only ensures the adaptability of the heating system to the characteristics of the aging pipe network, but also achieves accurate response to meteorological changes and user needs. The final output of the third target water supply temperature will be sent to the actuator as an actual control command to achieve the optimal balance between energy saving and comfort.

[0071] In some embodiments, the method further includes: Step S111: Obtain the current runtime segment identifier.

[0072] Specifically, the heating load exhibits significant periodic fluctuations throughout the day. To further tap into energy-saving potential, this embodiment introduces a time-sharing control mechanism. The system incorporates a real-time clock module to generate the current operating segment identifier.

[0073] The time-sharing parameter storage submodule has built-in daytime (7:00-23:00) and nighttime (23:00-7:00 the next day) time settings. Step S112: Determine the basic water supply temperature benchmark corresponding to the running time segment identifier according to the preset mapping relationship between the time period and the basic water supply temperature benchmark; use the basic water supply temperature benchmark as the basic water supply temperature.

[0074] The preset mapping relationship between time periods and the baseline water supply temperature is stored in the system's non-volatile memory.

[0075] Furthermore, the preset mapping relationship between the time period and the basic water supply temperature benchmark includes: when it is a daytime period, the basic water supply temperature benchmark is mapped to a first temperature value; when it is a nighttime period, the basic water supply temperature benchmark is mapped to a second temperature value; wherein, the first temperature value is greater than the second temperature value.

[0076] Specifically, daytime hours typically correspond to periods when residents are more active and indoor heat demand is higher (e.g., 7:00 to 23:00). During this time, the system sets the baseline water supply temperature to a higher first temperature value to ensure that the indoor temperature quickly reaches the comfortable range and remains stable.

[0077] Nighttime hours typically correspond to periods when residents are resting, indoor heat demand is relatively low, and buildings have heat storage capacity (e.g., from 11:00 PM to 7:00 AM the next day). During this time, the system sets the baseline water supply temperature to a lower second temperature value.

[0078] By taking advantage of the building's thermal inertia, the water supply temperature can be appropriately lowered at night. This can not only reduce the ineffective heat output at night and lower gas consumption and circulation pump power consumption, but also avoid energy waste caused by users opening windows to dissipate heat due to excessively high room temperature at night.

[0079] This time-based differentiated control strategy can automatically switch to the corresponding base temperature setting strategy according to the current time period, thereby replacing a single fixed benchmark for all-weather operation. This achieves energy-saving operation by maximizing the use of nighttime off-peak hours while ensuring daytime comfort.

[0080] In some embodiments, the method further includes: Step S113: Obtain historical operation sequence data of existing heating stations.

[0081] Specifically, as the heating system operates for a long time, the aging of the pipeline network and the thermal insulation performance of the building will change slowly, causing the initially set stock correction coefficient and aging attenuation factor to gradually deviate from the actual operating conditions.

[0082] To enable the compensation model to adapt over the long term, the system periodically performs a parameter self-learning process. For example, during the low-load period in the early morning each day, the system reads historical runtime data from the database for a preset time window (such as the last 7 days). This data includes outdoor air temperature, supply and return water temperature, circulation flow rate, and individual household room temperature.

[0083] Step S114: Extract fault-free timing samples within a preset time window from historical runtime timing data.

[0084] To ensure the accuracy of the learning results, the historical data is first cleaned to remove abnormal data caused by sensor failure, communication interruption or equipment maintenance, and only fault-free time series samples are retained.

[0085] Step S115: Use a linear regression algorithm to update the stock correction coefficient and / or decay factor based on the fault-free time series samples.

[0086] In this step, a linear regression algorithm is used to analyze these samples. A regression model is constructed using outdoor air temperature, stock correction coefficient, and aging degradation factor as independent variables, and the actual required water supply temperature or supply-return water temperature difference as the dependent variable.

[0087] By using optimization techniques such as the least squares method, the latest stock correction coefficient and aging decay factor that minimize the model error are derived and calculated in reverse.

[0088] The calculated new parameters are updated in memory and take effect in the next control cycle. This process allows the compensation parameters to evolve automatically with the changes in the physical state of the pipeline network, eliminating the need for frequent on-site manual adjustments and ensuring control accuracy throughout the heating season.

[0089] In some embodiments, the method further includes: Step S116: Monitor the operating status of existing heating stations.

[0090] Step S117: When the preset energy efficiency anomaly conditions are met, generate and output energy efficiency warning information.

[0091] In this embodiment, abnormal energy efficiency conditions include: the average indoor temperature of the area deviates from the preset standard indoor temperature range within a preset number of consecutive days; the nighttime basic water supply temperature is continuously equal to the daytime basic water supply temperature benchmark; or the circulating pump is continuously in power frequency operation.

[0092] The first abnormal situation is a continuous deviation in comfort level. If the system detects that the average indoor temperature in the service area is consistently higher or lower than the preset standard indoor temperature range (e.g., 18℃-22℃) for a consecutive preset number of days (e.g., 3 or 5 days), and cannot return to the normal range even after room temperature closed-loop correction, it is determined that the compensation parameters may be seriously malfunctioning or there may be other hydraulic imbalance problems, and an early warning message is generated to prompt maintenance personnel to intervene and check.

[0093] The second abnormal situation is the failure of time-of-use control. If the system detects that the base water supply temperature is consistently equal to the daytime base water supply temperature benchmark during the night, it indicates that the time-of-use switching logic has not taken effect or the actuator is stuck, resulting in the failure to utilize the off-peak period for energy saving at night, causing unnecessary energy waste. In this case, an early warning message is generated.

[0094] The third abnormal situation is inefficient equipment operation. If the circulating pump is detected to be continuously operating at the power frequency (i.e., full load operation), while the water supply temperature or room temperature does not reach the expected high load demand, this may mean that the pipeline resistance is abnormally increased or the valve opening adjustment is limited, resulting in low pump efficiency and high energy consumption. The system will generate an early warning message based on this.

[0095] The generated energy efficiency warning information can be sent to the cloud management platform or local operation and maintenance terminal through the communication interface. It includes the anomaly type, occurrence time and suggested handling measures, thereby realizing the transformation from passive maintenance to proactive preventive maintenance and ensuring the long-term stable and efficient operation of existing heating stations.

[0096] Based on the same inventive concept, embodiments of the present invention also provide a temperature compensation device for existing heating stations, such as... Figure 3 As shown, it includes: The acquisition unit 301 is used to acquire the supply and return water temperature difference of existing heating stations and the existing operating conditions of the service area; the existing operating conditions include the existing correction coefficient and the aging and attenuation factor. Compensation unit 302 is used to compensate for the supply and return water temperature difference based on the stock correction coefficient and aging attenuation factor, so as to obtain the supply and return water temperature difference compensation amount. The correction unit 303 is used to correct the preset basic water supply temperature of the existing heating station based on the correction of the supply and return water temperature difference compensation amount, so as to obtain the first target water supply temperature.

[0097] Based on the same technical concept, embodiments of the present invention also provide an electronic device, such as... Figure 4 As shown, it includes a processor 401, a communication interface 402, a memory 403, and a communication bus 404, wherein the processor 401, the communication interface 402, and the memory 403 communicate with each other through the communication bus 404.

[0098] Memory 403 is used to store computer programs; When the processor 401 executes the program stored in the memory 403, it implements the steps of the above method embodiment.

[0099] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0100] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0101] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0102] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be 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, or discrete hardware components.

[0103] The temperature compensation device for existing heating stations provided in this embodiment of the invention can be specific hardware on the equipment or software or firmware installed on the equipment. The implementation principle and technical effects of the device provided in this embodiment of the invention are the same as those in the foregoing method embodiments. For the sake of brevity, any parts not mentioned in the device embodiments can be referred to the corresponding content in the foregoing method embodiments. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can all be referred to the corresponding processes in the above method embodiments, and will not be repeated here.

[0104] In the embodiments provided by this invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0105] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0106] In addition, the functional units in the embodiments provided by the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0107] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0108] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0109] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. All should be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for temperature compensation in existing heating stations, characterized in that, include: Obtain the supply and return water temperature difference of existing heating stations and the existing operating conditions of the service areas; The existing stock operating condition characteristics include the existing stock correction coefficient and the aging and degradation factor; The supply and return water temperature difference is compensated based on the existing stock correction coefficient and aging attenuation factor to obtain the supply and return water temperature difference compensation amount. Based on the aforementioned compensation amount for the temperature difference between the supply and return water, the preset basic supply water temperature of the existing heating station is corrected to obtain the first target supply water temperature.

2. The method according to claim 1, characterized in that, The characteristics of the existing operating conditions of the existing heating stations in their service areas include: Obtain the construction year, pipeline laying year, and external wall insulation level attributes of each community within the service area; Based on the currently read attribute values, the current stock correction coefficient and aging attenuation factor are obtained by matching in the pre-built aging mapping rule library; the preset aging mapping rule library establishes a correspondence between the construction years of the community, the laying years of the pipeline network, and the external wall insulation level attributes and the stock correction coefficient and aging attenuation factor.

3. The method according to claim 1, characterized in that, The method further includes: Collect indoor temperature data for each household within the entire service area; The average indoor temperature of the entire area is determined based on the individual household indoor temperature data, and the average indoor temperature is compared with the preset indoor temperature value to determine the indoor temperature deviation value. Based on the indoor temperature deviation value and the preset indoor temperature correction coefficient, the first target water supply temperature is corrected to obtain the second target water supply temperature.

4. The method according to claim 3, characterized in that, The method further includes: Collect all-weather time-series outdoor temperature data for the entire service area; The outdoor temperature time series data are processed by moving average to obtain the average outdoor temperature over a long time scale; Based on the deviation between the average outdoor temperature over the aforementioned long time scale and the preset outdoor reference temperature, and in conjunction with the preset climate correction weights, a climate compensation temperature value is determined. The climate-compensated temperature value is used to correct the second target water supply temperature to obtain the third target water supply temperature.

5. The method according to claim 1, characterized in that, The method further includes: Get the current runtime segment identifier; Based on the preset mapping relationship between time periods and basic water supply temperature benchmarks, the basic water supply temperature benchmark corresponding to the running time period identifier is determined. The basic water supply temperature benchmark is used as the basic water supply temperature.

6. The method according to claim 5, characterized in that, The preset time period and the mapping relationship between the basic water supply temperature benchmark include: During daytime hours, the baseline water supply temperature is mapped to a first temperature value. During nighttime hours, the baseline water supply temperature is mapped to a second temperature value; wherein the first temperature value is greater than the second temperature value.

7. The method according to claim 1, characterized in that, The method further includes: Obtain the historical operation sequence data of the existing heating stations; Extract fault-free timing samples within a preset time window from the historical runtime timing data; A linear regression algorithm is used to update the stock correction coefficient and / or the decay factor based on the fault-free time series samples.

8. The method according to claim 1, characterized in that, The method further includes: Monitor the operating status of the existing heating stations; When preset energy efficiency anomaly conditions are met, an energy efficiency warning message is generated and output; the energy efficiency anomaly conditions include: the average indoor temperature of the area deviates from the preset standard indoor temperature range within a preset number of consecutive days, the nighttime basic water supply temperature is continuously equal to the daytime basic water supply temperature benchmark, or the circulating pump is continuously in power frequency operation.

9. A temperature compensation device for an existing heating station, characterized in that, include: The acquisition unit is used to acquire the supply and return water temperature difference of existing heating stations and the existing operating conditions of the service area. The existing stock operating condition characteristics include the existing stock correction coefficient and the aging and degradation factor; The compensation unit is used to compensate the supply and return water temperature difference based on the stock correction coefficient and aging attenuation factor to obtain the supply and return water temperature difference compensation amount. The correction unit is used to correct the preset basic water supply temperature of the existing heating station based on the correction of the supply and return water temperature difference compensation amount, so as to obtain the first target water supply temperature.

10. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; The memory is used to store computer programs; When the processor executes the program stored in the memory, it implements the method described in any one of claims 1-8.

Images