A heat exchange device for a geothermal system and a heat exchange analysis system

Abstract

The application provides a heat exchange device and a heat exchange analysis system for a geothermal system, and belongs to the technical field of heat exchange devices. The heat exchange device specifically comprises: a target determination module, which is responsible for determining a heat exchange analysis target in the heat exchange device based on the correlation degree of soil humidity between heat exchange devices and the matching degree of heat transfer data and heat load demand; a weather type screening module, which is responsible for determining a heat transfer analysis weather type in the weather type based on heat exchange analysis target data and heat transfer amount matching period data under different weather types; and an update processing module, which is responsible for determining an update management method of the heat exchange analysis target in the heat exchange device based on the correlation degree of analysis processing results in each humidity interval and monitoring data of soil humidity of the heat exchange device, so as to ensure the reliability of monitoring of the heat transfer performance of the heat exchange device.

Description

Technical Field

[0001] This invention belongs to the field of data analysis technology, and in particular relates to a heat exchange device and a heat exchange analysis system for geothermal systems. Background Technology

[0002] Geothermal systems contain numerous heat exchange devices, and the safety and reliability of their operation are crucial to the overall stability of the system. For example, existing technologies include flow ports and interceptor nets on the sides of the inner pipes. These interceptor nets are located around the flow ports and are rotatable. This approach is advantageous due to its reasonable design, practicality, and long service life, reducing the impact of wellbore environmental changes on the heat exchanger and ensuring the utilization rate of geothermal storage. However, it also has the following technical drawbacks: During the heat exchange process of geothermal systems, the heat exchange efficiency of heat exchange devices varies significantly within different soil moisture ranges. Therefore, analyzing and processing the heat exchange efficiency within different soil moisture ranges, identifying the heat exchange devices that require heat exchange model construction, ensuring that different heat exchange devices can be effectively modeled, and accurately determining the actual heat exchange performance of different heat exchange devices when humidity monitoring devices malfunction, thereby ensuring the reliability of heating supply, has become an urgent technical problem to be solved.

[0003] To address the aforementioned technical problems, this application provides a heat exchange device and a heat exchange analysis system for geothermal systems. Summary of the Invention

[0004] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a heat exchange analysis system for geothermal systems, which includes: Target identification module, weather type filtering module, update processing module; The target determination module is responsible for determining the heat exchange analysis target in the heat exchange device based on the degree of matching between the heat exchange data of the heat exchange device in the geothermal system and the heat load demand, when there is no need to determine the target of heat exchange analysis processing according to the preset strategy. The prediction strategy described above requires all heat exchange devices to be considered as targets for heat exchange analysis. The weather type filtering module is responsible for determining the heat exchange analysis weather type based on the heat exchange analysis target data and the heat exchange matching time period data under different weather types. The update processing module performs heat exchange analysis on the heat exchange analysis target under the heat exchange analysis weather type to obtain the analysis results, and obtains the consistency of heat exchange efficiency in different humidity ranges. Based on the analysis results in different humidity ranges, it identifies the humidity ranges where the consistency of heat exchange efficiency in different humidity ranges does not meet the requirements, and designates them as consistency deviation humidity ranges. The module then determines the operating period of the heat exchange device within the consistency deviation humidity range based on the overlap between the consistency deviation humidity range and the soil moisture of the heat exchange device. Based on the consistency deviation humidity range and the operating period data of the heat exchange device within the consistency deviation humidity range, it determines the update management method for the heat exchange analysis target in the heat exchange device.

[0005] The beneficial effects of this invention are as follows: Based on the degree of matching between the heat exchange data of the heat exchange devices in the geothermal system and the heat load demand, it is determined whether the target of heat exchange analysis and processing needs to be determined according to the preset strategy. Based on the high degree of matching between the available heat exchange capacity of the geothermal system and the heat load demand, the operational reliability requirements of the heat exchange devices are determined. When the reliability requirements are high, all heat exchange devices are modeled in detail, especially their heat exchange capacity models in different humidity ranges, in order to cope with the extreme case of humidity monitoring failure, thereby ensuring the reliability of heating treatment.

[0006] Based on the heat exchange analysis target data and the heat exchange matching time period data under different weather types, the heat exchange analysis weather type is determined. Based on the proportion of the heat exchange analysis target in the total number of heat exchange devices, and combined with the distribution characteristics of the heat exchange matching time period under different weather types, suitable weather types for flow regulation testing are selected. Then, the heat exchange analysis target is experimentally analyzed under these weather types, and its heat exchange model in different humidity ranges is established to ensure that the overall heat exchange effect of the geothermal system can still be accurately evaluated when humidity monitoring is abnormal, thereby reducing the impact on normal heating.

[0007] Furthermore, the method for determining the heat exchange analysis target in the heat exchange device is as follows: Based on the correlation between the soil moisture of the heat exchange device and other heat exchange devices at different time periods, the heat exchange devices with similar moisture levels at different time periods are identified. Based on the number of heat exchange devices with similar humidity, determine the associated deviation time period of the heat exchange devices; Based on the distribution data of the associated deviation periods in different dates, and the overlap between the associated deviation periods and the heat exchange matching periods, it is determined whether the heat exchange device belongs to the heat exchange analysis target.

[0008] Furthermore, the humidity-similar heat exchange device is another heat exchange device whose soil humidity deviation rate is within a preset humidity deviation rate range compared to the heat exchange device.

[0009] Furthermore, if there are no heat exchange devices with similar humidity at different times, and the humidity of the device deviates significantly from that of other heat exchange devices, it will be difficult to effectively identify the abnormality once a monitoring deviation exists. Therefore, the heat exchange device is determined to be a target for heat exchange analysis. Furthermore, the associated deviation period of the heat exchange device is the period when the number of heat exchange devices with similar humidity is less than a preset threshold for the number of similar heat exchange devices.

[0010] Furthermore, if the heat exchange device does not have a correlated deviation period, then the heat exchange device is determined not to be a heat exchange analysis target.

[0011] Furthermore, the method for determining the heat exchange weather type in the aforementioned weather type analysis is as follows: Based on the heat exchange analysis target data, determine the proportion of heat exchange devices in the geothermal system that are the heat exchange analysis target, and use this proportion as the analysis target proportion; Based on the fluctuation data of heat load demand under different weather types, the distribution data of heat exchange matching time periods under the aforementioned weather types are determined; S33 uses the proportion of the analysis target and the distribution data of the heat exchange matching time period under the weather type to determine whether the weather type is a heat exchange analysis weather type.

[0012] Furthermore, if the proportion of the analysis target is less than the preset target proportion threshold, then all weather types will be used as the weather types for heat exchange analysis.

[0013] Furthermore, if there is no heat exchange matching period under the weather type, then the weather type is determined to belong to the heat exchange analysis weather type.

[0014] Furthermore, if the weather type belongs to the heat exchange analysis weather type, the flow rate of the heat exchange analysis target is adjusted under the weather type to determine the heat exchange model of the geothermal system under different flow rates in different humidity ranges. This allows for the effective determination of the heat exchange effect of the geothermal system when there are abnormalities in humidity monitoring.

[0015] Furthermore, the analysis and processing results within the humidity range are determined based on the consistency of the heat exchange efficiency of different heat exchange devices within the humidity range.

[0016] Secondly, the present invention provides a heat exchange device for a geothermal system, employing the aforementioned heat exchange analysis system for a geothermal system, specifically comprising: Humidity monitoring device, heat exchange monitoring device, heat exchange module; The humidity monitoring device is responsible for monitoring and processing the soil moisture of the heat exchange device, and the heat exchange monitoring device is responsible for monitoring and processing the heat exchange of the heat exchange module of the heat exchange device.

[0017] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0018] 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

[0019] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0020] Figure 1 This is a framework diagram of a heat exchange analysis system applied to geothermal systems; Figure 2 This is a flowchart illustrating the method for determining weather types through heat exchange analysis in weather type analysis; Figure 3 This is a flowchart illustrating the method for determining the update management of heat exchange analysis targets in a heat exchanger. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0022] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0023] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a heat exchange analysis system for geothermal systems is provided, specifically including: Target identification module, weather type filtering module, update processing module; The target determination module is responsible for determining the heat exchange analysis target in the heat exchange device based on the degree of matching between the heat exchange data of the heat exchange device in the geothermal system and the heat load demand, when there is no need to determine the target of heat exchange analysis processing according to the preset strategy. The prediction strategy described above requires all heat exchange devices to be considered as targets for heat exchange analysis. Specifically, determining the objectives of heat transfer analysis and treatment without following a pre-set strategy includes: Based on the degree of matching between the actual heat exchange data of the heat exchange devices and the system's heat load demand, it is dynamically determined whether all heat exchange devices need to be included in the heat exchange analysis scope. This allows for reliable heat exchange effect assessment based on a pre-built full-tube bundle heat exchange model even when the humidity monitoring device malfunctions. The logic is as follows: when the system is in a state of high matching between available heat exchange and heat load demand for a long period, the operational reliability requirements of the heat exchange devices are extremely high. Performance degradation of any single tube bundle may disrupt this balance. Therefore, it is necessary to perform detailed modeling of all heat exchange devices, especially to establish heat exchange models for different humidity ranges, to cope with extreme cases of humidity monitoring failure. Conversely, if the matching period is short, it indicates a more fundamental supply-demand imbalance problem in the system. In this case, it is not necessary to initiate a comprehensive analysis, but rather to prioritize diagnosing the cause of the deviation at the system level.

[0024] S11 determines the deviation between the heat exchange capacity of the heat exchange device and the heat load demand based on the degree of matching between the heat exchange data and the heat load demand. Heat exchange data: refers to the amount of heat exchange collected during the actual operation of the heat exchanger in the heat exchange device. It is usually calculated by measuring the flow rate of the circulating medium and the temperature difference between the inlet and outlet.

[0025] Heat load demand: refers to the amount of heat or cooling required by a building or system, which is determined by the terminal load.

[0026] Deviation: refers to the difference or relative difference between the maximum available heat exchange and the heat load demand, reflecting the degree of matching between the actual energy supply capacity and the demand. Deviation is the basis for subsequent analysis. Only by quantifying the gap between actual heat exchange and demand can we further determine whether the system operation status is within the ideal range.

[0027] For example, in a ground source heat pump project, the maximum total heat exchange capacity of the heat exchange device was measured at 14:00 on a summer day. The instantaneous cooling load demand of the building was 500kW, so the deviation was +20kW, indicating that there was an oversupply of energy.

[0028] S12 determines the absolute value of the deviation rate between the heat exchange and the heat load demand based on the deviation situation, and takes the time period within the preset deviation rate range as the heat exchange matching time period. Deviation rate: The ratio of the deviation value to the heat load demand, usually expressed as a percentage, used to eliminate the influence of load size.

[0029] Preset deviation rate range: The pre-set allowable deviation range within which the heat exchange is considered to be basically matched with the demand, for example, [-5%, +5%].

[0030] Heat exchange matching period: refers to the time period in which the absolute value of the deviation rate falls within the preset deviation rate range. This indicates that the system operation is close to the demand during this period. The deviation rate more intuitively reflects the degree of matching. The preset range defines the "acceptable" range. By filtering out these periods, we can focus on the time window when the system is operating well.

[0031] Specific example: Set the preset deviation rate range as [-5%, +5%]. If the deviation rate is -3% at 10:00 on a certain day, then that time belongs to the heat exchange matching period; if the deviation rate is within this range for 15 hours on that day, then the duration of the heat exchange matching period on that day is 15 hours.

[0032] S13 uses the heat exchange time period data to determine whether it is necessary to determine the target of heat exchange analysis and processing according to the preset strategy.

[0033] Specifically, using the heat exchange time-matching data, it is determined whether the target of heat exchange analysis and processing needs to be determined according to a preset strategy, including: If the average duration of the heat exchange matching period on different dates exceeds the preset duration threshold, then it is determined that the target of heat exchange analysis and processing needs to be determined according to the preset strategy, that is, all heat exchange devices are taken as the target of heat exchange analysis and processing.

[0034] It should be noted that if all heat exchange devices are taken as the target of heat exchange analysis, the heat exchange of all heat exchange devices in different humidity ranges will be analyzed to determine their heat exchange model. Even if the humidity monitoring device malfunctions, the heat exchange effect can still be reliably evaluated.

[0035] Different dates: refers to data from multiple consecutive or non-consecutive days, used to eliminate occasional fluctuations on a single day.

[0036] Average duration: The arithmetic mean of the duration of the heat exchange matching period over multiple days.

[0037] Preset duration threshold: A pre-defined critical value for average duration. If this value is exceeded, the system is considered to be in a state where the maximum available heat supply is just matched for an extended period. In this case, the reliability requirements for the heat exchanger are extremely high, and a comprehensive analysis is necessary. Daily data may be affected by accidental factors such as weather and operating strategies, but statistically averaging the duration over multiple days can reflect the long-term operating patterns of the system. The threshold is an engineering experience value used to decide whether to initiate a comprehensive analysis.

[0038] This judgment ensures the robustness of the decision-making process, avoids unnecessary comprehensive analysis due to short-term fluctuations, and ensures that a full-bind model is established in a timely manner when the system is in long-term matching, so as to deal with extreme situations such as humidity monitoring failure.

[0039] For example, the duration of heat exchange matching periods for a continuous week (7 days) were 12, 14, 13, 15, 14, 16, and 15 hours, with an average duration of 14.1 hours. If the preset duration threshold is 12 hours, then 14.1 > 12, therefore it is determined that all heat exchange devices need to be considered as targets for heat exchange analysis.

[0040] Specifically, such as Figure 3 As shown, the method for determining the heat exchange analysis target in the heat exchange device is as follows: This invention starts from the level of a single heat exchanger. Based on the correlation between its soil moisture and that of other heat exchangers at different times, it identifies heat exchangers with isolated moisture characteristics that are difficult to verify through cross-validation to ensure monitoring reliability, and designates these as targets for heat exchange analysis. The logic is as follows: when the moisture variation pattern of a heat exchanger differs significantly from that of most other tube bundles, if the moisture monitoring device of that tube malfunctions, the system cannot effectively compare and correct using data from other tube bundles, resulting in a blind spot in the heat exchange assessment of that tube. Therefore, it must be included in the key analysis scope, and an independent heat exchange model must be established. Conversely, if a heat exchanger maintains a high degree of moisture correlation with a sufficient number of other tube bundles, cross-validation can be achieved through the data of the correlated tube bundles, reducing reliance on its own monitoring device, thus eliminating the need to consider it as an independent analysis target. Specifically, when the correlation deviation period overlaps with the heat exchange matching period, it means that during periods when the system has high requirements for heating reliability, the soil moisture of the target heat exchanger cannot be effectively verified by a sufficient number of similar heat exchangers. In this case, if the moisture monitoring device of that tube malfunctions, it will directly affect the heating reliability; therefore, such tube bundles must be considered as targets for heat exchange analysis.

[0041] S21 Based on the correlation between the soil moisture of the heat exchange device and other heat exchange devices at different times, determine the heat exchange device with similar moisture at different times. It is understood that the humidity-similar heat exchange device is another heat exchange device whose soil humidity deviation rate is within a preset humidity deviation rate range.

[0042] Soil moisture: refers to the water content of the soil and rock surrounding the heat exchange device, which is a key parameter affecting the heat exchange performance of the heat exchange device.

[0043] Correlation degree: refers to the similarity or consistency of soil moisture values ​​or trends among different heat exchange devices at the same time period.

[0044] Humidity-similar heat exchange devices: refers to other heat exchange devices whose soil humidity deviation rate is within the preset humidity deviation rate range of the target heat exchange device, that is, tube bundles with similar humidity change patterns in the same period.

[0045] By calculating the humidity deviation rate and setting an allowable range, other tube bundles with similar humidity characteristics to the target tube can be quantitatively identified, providing a basis for subsequent judgment on whether the humidity of the target tube has a mutually verifiable reference system. This step establishes a humidity correlation network between heat exchange devices, enabling the system to assess the degree of isolation of each tube at the humidity monitoring level.

[0046] Specific example: Set the preset humidity deviation rate range as [-10%, +10%]. A ground source heat pump system has a total of 120 heat exchangers. At 0:00 on January 1st, the soil moisture of pipe 23 is 34%. Calculate the humidity deviation rate between pipe 23 and the other 119 pipes at that time. It is found that the humidity of 15 pipes is between 30.6% and 37.4%. These 15 pipes are heat exchangers with similar humidity to pipe 23 during that period.

[0047] It should be noted that the above steps include the following: Scenario 1: If there are no heat exchange devices with similar humidity at different times, and the humidity of the device deviates significantly from that of other heat exchange devices, it will be difficult to effectively identify the abnormality once a monitoring deviation exists. Therefore, the heat exchange device is determined to be the target of heat exchange analysis. Different time periods: refers to multiple time points or time periods, used to eliminate single accidental deviations.

[0048] Monitoring deviation: refers to the difference between the measured value and the true value caused by the humidity sensor due to malfunction, drift or environmental interference.

[0049] Heat exchange analysis target: refers to the heat exchange devices that need to be included in refined modeling and key monitoring.

[0050] If a tube has no similar humidity levels at any given time, it indicates that its humidity characteristics have deviated from the overall pattern for a long period. If the sensor of that tube malfunctions, the system will not be able to detect the anomaly through data from other tubes, resulting in an evaluation blind spot. Tube bundles with completely isolated humidity characteristics must be given special attention to prevent performance misjudgments due to monitoring failure.

[0051] For example, if the humidity data is collected continuously for 30 days and every hour, it is found that the humidity of tube 89 is always more than 25% lower than that of other tubes. Since there is no heat exchange device with similar humidity at any time, tube 89 is determined to be the target of heat exchange analysis.

[0052] Case 2: If there is a period with heat exchange devices of similar humidity, determine the humidity correlation coefficient between the other heat exchange devices and the heat exchange device based on the proportion of the number of periods with other heat exchange devices of similar humidity. Determine whether there are other heat exchange devices with humidity correlation coefficients greater than the preset correlation coefficient threshold. If yes, proceed to the next step. If no, determine that the heat exchange device belongs to the heat exchange analysis target. Percentage of time periods: refers to the ratio of the number of times that another heat exchange device becomes a target tube with similar humidity within the statistical period to the total number of time periods.

[0053] Humidity correlation coefficient: A value calculated based on the proportion of time periods, reflecting the degree of correlation between the humidity of the two pipes.

[0054] Preset correlation coefficient threshold: A pre-set critical value for the correlation coefficient. If the value is exceeded, the two tubes are considered to have a stable humidity correlation. Even if there are similar time periods, if there are not enough other tubes that are stably correlated with the target tube, the target tube will still be difficult to be effectively verified through the correlated tubes, and further judgment is required.

[0055] Specific example: Analyzing hourly humidity data over 60 days, tubes 47 and 12 exhibited similar humidity levels for 78% of the time, resulting in a humidity correlation coefficient of 0.78. With a preset correlation coefficient threshold of 0.70, tube 12 is considered a correlated heat exchanger with tube 47. If no other tube has a correlation coefficient exceeding 0.70 with tube 47, then tube 47 is determined to be the target for heat exchange analysis.

[0056] Other heat exchange devices with a humidity correlation coefficient greater than a preset correlation coefficient threshold are identified as associated heat exchange devices. It is then determined whether the number of associated heat exchange devices is greater than a preset threshold for the number of associated heat exchange devices. If so, the heat exchange device is determined not to be a target of heat exchange analysis. If not, the process proceeds to step S22.

[0057] Associated heat exchange devices: Other heat exchange devices that have a stable humidity association with the target tube.

[0058] Preset threshold for the number of associated heat exchange devices: A pre-set critical value for the number of associated tubes. If this value is exceeded, it is considered that mutual verification can be achieved through the network of associated tubes. When there are enough associated tubes, even if individual sensors are abnormal, the humidity of the target tube can still be inferred from the data of most associated tubes without the need for separate modeling.

[0059] Specific example: The preset threshold for the number of associated heat exchangers is 4. Tube 23 has 6 associated tubes, exceeding the threshold, therefore tube 23 is determined not to be a target for heat exchange analysis. Tube 47 has 3 associated tubes, which does not exceed the threshold, so the process proceeds to step S22 for further evaluation.

[0060] S22 determines the associated deviation time period of the heat exchange devices based on the number of the similar humidity heat exchange devices; It should be noted that the associated deviation period of the heat exchange device is the period when the number of heat exchange devices with similar humidity is less than a preset threshold for the number of similar heat exchange devices.

[0061] Specifically, if the heat exchange device does not have a related deviation period, then the heat exchange device is determined not to be a heat exchange analysis target; if the heat exchange device has a related deviation period, then proceed to step S23.

[0062] Number of heat exchangers with similar humidity: The number of other tube bundles with similar humidity to the target tube during a certain period of time.

[0063] Preset threshold for the number of similar heat exchange devices: A pre-set critical value for the number of similar tubes. Periods when the number of similar tubes is below this value are considered to be when the target tube is isolated.

[0064] Correlation deviation period: The period in which the number of similar heat exchange devices with humidity is less than the preset threshold for the number of similar heat exchange devices, i.e. the time window in which the humidity characteristics of the target tube deviate from those of most tube bundles.

[0065] Even if there are associated tubes, there may still be significant deviations between the associated tubes and the target tubes at certain times. These periods are the high-incidence periods of monitoring blind spots and require close attention.

[0066] Specific example: The preset threshold for the number of similar heat exchangers is 5. Statistical analysis of hourly humidity data over 60 days reveals that the number of similar tubes for tube 47 during the period from 3:00 AM to 5:00 AM each day is 2, 3, 4, 3, and 2 respectively, all less than 5. Therefore, these time periods are the periods of correlation deviation for tube 47.

[0067] If the target tube has a sufficient number of similar tubes at all times, it indicates that its humidity is always in a mutually verifiable network, and there is no need for separate analysis.

[0068] For example: If tube 32 has more than 10 similar tubes in all statistical periods and there are no periods of correlation deviation, then tube 32 is determined not to be a target for heat transfer analysis. Tube 47 has periods of correlation deviation, so we need to proceed to step S23.

[0069] S23 uses the distribution data of the associated deviation periods in different dates, and the overlap between the associated deviation periods and the heat exchange matching periods, to determine whether the heat exchange device belongs to the heat exchange analysis target.

[0070] It is understood that the above steps include the following: S231 Obtain the percentage of the number of associated deviation time periods of the heat exchange device, and determine whether the percentage of the number of associated deviation time periods of the heat exchange device is greater than the preset threshold for the percentage of the number of deviation time periods. If yes, determine that the heat exchange device belongs to the heat exchange analysis target; otherwise, proceed to step S232. Percentage of periods with correlation deviation: The ratio of the total duration of periods with correlation deviation to the total statistical duration.

[0071] Preset deviation period quantity percentage threshold: A pre-set percentage threshold value. If the value is exceeded, the target tube is considered to be in an isolated state for a long time.

[0072] If the proportion of the time period with correlation deviation is too high, it indicates that the target tube is difficult to be verified by other tubes in the long term, and the reliability of humidity monitoring is at high risk, so it must be modeled independently.

[0073] Specific example: Statistical analysis over 60 days totals 1440 hours. The cumulative duration of the deviation period associated with pipe No. 47 is 180 hours, accounting for 12.5%. The preset threshold for the percentage of deviation periods is 15%. If 12.5% ​​< 15%, proceed to step S232.

[0074] S232 determines the proportion of heat exchange matching periods belonging to the heat exchange device's associated deviation period in the heat exchange matching period based on the overlap between the associated deviation period and the heat exchange matching period. It then determines whether the average of the proportion of heat exchange matching periods belonging to the heat exchange device's associated deviation period in the heat exchange matching period and the proportion of the heat exchange device's associated deviation period is greater than a preset overlap percentage threshold. If so, the heat exchange device is determined to be a heat exchange analysis target; otherwise, the heat exchange device is determined not to be a heat exchange analysis target.

[0075] When the correlation deviation period coincides with the heat exchange matching period, it means that during periods when the system has high requirements for heating reliability, the soil moisture of the target heat exchanger cannot be effectively verified by a sufficient number of similar heat exchangers. In this case, if the moisture monitoring device of the tube malfunctions, the system will be unable to accurately assess its heat exchange performance, potentially leading to a deviation between actual heat supply and demand, thereby reducing overall heating reliability. Therefore, such tube bundles must be treated as targets for heat exchange analysis, and an independent heat exchange model must be established to address the potential risk of monitoring failure.

[0076] Heat exchange matching period: refers to the period during which the available heat exchange capacity of the heat exchange device is within the preset deviation rate range of the heat load demand. During this period, the system operation is highly matched with the load demand, and the requirements for heating reliability are high.

[0077] Overlap: refers to the time overlap between the correlation deviation period and the heat exchange matching period.

[0078] The proportion of heat exchange matching periods belonging to the associated deviation period of the heat exchange device in the total heat exchange matching period: refers to the ratio of the total duration of the overlapping period to the total duration of the heat exchange matching period.

[0079] Preset overlap ratio threshold: A pre-set critical value for the degree of overlap, used to determine whether the isolation level of the target tube poses a risk during periods of high reliability requirements.

[0080] Even if the overall proportion of the correlation deviation period is not high, if these isolated periods happen to highly overlap with the heat exchange matching period, the humidity of the target tube cannot be verified by other tubes during the high reliability requirement period. Once an anomaly is detected, it will directly affect the heating reliability. Therefore, it must be modeled independently.

[0081] Specific example: Based on 60 days of data, the percentage of periods with associated deviations for tube 47 is 12.5% ​​(below the 15% threshold). The total duration of the heat exchange matching period is 980 hours, of which 165 hours overlap with the associated deviation periods, representing 16.8% of the total heat exchange matching period. The average is calculated as (12.5% ​​+ 16.8%) / 2 = 14.65%. With a preset overlap threshold of 14%, 14.65% > 14%, therefore tube 47 is determined to be a target in the heat exchange analysis.

[0082] This invention, through the above method, achieves refined screening of heat transfer analysis targets at the heat exchanger device level. Its core value lies in: Accurate identification of high-risk tube bundles: Based on humidity correlation analysis, heat exchange devices with isolated humidity characteristics that are difficult to cross-verify with other tube bundles are identified, ensuring that these high-risk tube bundles are included in the scope of key analysis.

[0083] To reduce the risk of monitoring blind spots during critical periods: Through the overlap analysis in step S232, tube bundles with isolated humidity during the heat exchange matching period, which has high requirements for heating reliability, are identified. When the correlation deviation period coincides with the heat exchange matching period, it means that the humidity of the target tube cannot be effectively verified by other tube bundles during the period with high reliability requirements. Once an anomaly is detected, it will directly affect the heating reliability, so it must be used as a target for heat exchange analysis. In this embodiment, the correlation deviation period of tube No. 47 accounts for only 12.5%, but the average value after overlap analysis exceeds the threshold, which is a typical manifestation of this logic.

[0084] Optimize analysis resource allocation: For heat exchangers with sufficient associated tube bundles and short associated deviation periods, independent modeling is not required, saving computational and storage resources.

[0085] Enhance system fault tolerance: By establishing an associated pipe network and an independent heat exchange model, the system can still achieve effective evaluation through associated data when some humidity sensors fail, thereby enhancing the system's robustness and the level of intelligent operation and maintenance.

[0086] Scientific and precise decision-making: Combining humidity correlation analysis with heat exchange matching analysis enables multi-dimensional comprehensive judgment, making decisions more in line with actual engineering needs and ensuring the thermal reliability of key buildings such as hospitals.

[0087] The weather type filtering module is responsible for determining the heat exchange analysis weather type based on the heat exchange analysis target data and the heat exchange matching time period data under different weather types. Specifically, such as Figure 2 As shown, the method for determining the heat exchange weather type in the aforementioned weather type analysis is as follows: The core decision-making objective of this invention is to select suitable weather types for flow regulation testing based on the proportion of heat exchange analysis targets in the total number of heat exchange devices and the distribution characteristics of heat exchange matching periods under different weather types. This allows for experimental analysis of the heat exchange analysis targets under these weather types, establishing heat exchange models within different humidity ranges, and ensuring accurate evaluation of the overall heat exchange effect of the geothermal system even when humidity monitoring is abnormal. The logic is as follows: the heat exchange matching period refers to the time when the deviation rate between the actual heat supply and the heat load demand of the system is within a preset range. During this period, the system operates in a critical state of high supply-demand matching, requiring extremely high heating reliability. Flow regulation during such periods would inevitably disrupt the critical balance and affect heating reliability. Therefore, it is necessary to select non-critical weather types with few or no heat exchange matching periods for testing to avoid interfering with the stable operation of the system during critical periods. Simultaneously, the proportion of analysis targets reflects the number of tube bundles requiring focused attention; the higher the proportion, the more stringent the selection of test weather types should be to ensure that resource input matches demand.

[0088] S31 uses the heat exchange analysis target data to determine the proportion of heat exchange devices in the geothermal system, and uses it as the proportion of analysis targets; The above steps include the following: If the proportion of the analysis target is less than the preset target proportion threshold, then because the number of heat exchange analysis targets is small, in order to ensure the reliability of the analysis and processing of the heat exchange performance of the heat exchange analysis targets, all weather types are used as heat exchange analysis weather types. If the proportion of the analysis target is not less than the preset target proportion threshold, then proceed to step S32.

[0089] Heat exchange analysis target: refers to the heat exchange device that needs to be monitored and modeled independently, as determined by the aforementioned steps. It is usually a tube bundle with isolated humidity characteristics or that has a significant impact on system performance.

[0090] Heat exchange devices in a geothermal system: refers to the total number of all heat exchange devices installed in the system, including all tube bundles that are in normal operation and on standby.

[0091] Analysis target proportion: The ratio of the number of heat exchange analysis targets to the total number of heat exchange devices, used to quantify the proportion of tube bundles that require special attention in the overall system.

[0092] The proportion of the analysis target determines the scale and rigor of subsequent screening. When the proportion is too small, the system has sufficient resources to conduct a comprehensive analysis of all weather types without the need for screening; when the proportion is too large, screening is required to focus on the most critical weather types to avoid wasting resources. By quantifying the proportion of the target control, a basis is provided for subsequent weather type screening, enabling dynamic allocation of analysis resources.

[0093] For example: A hospital's ground source heat pump system has a total of 120 heat exchangers. Based on the preliminary analysis, it was determined that 18 tubes need to be monitored. Therefore, the target percentage for analysis is 18 / 120=15%.

[0094] Preset target percentage threshold: A pre-defined critical value for the percentage of analysis targets, used to determine whether the number of heat exchange analysis targets has reached a level requiring screening. This threshold is determined based on factors such as system testing capabilities and operational resources.

[0095] Heat exchange analysis weather type: refers to the weather type that is included in the analysis scope and requires flow regulation tests and heat exchange model establishment for the heat exchange analysis target.

[0096] When the number of heat transfer analysis targets is small, the system has sufficient time and resources to conduct comprehensive testing on all weather types, ensuring that the heat transfer performance of each target tube bundle can be accurately evaluated under various weather conditions. This avoids the performance being unknown under certain operating conditions due to the omission of weather types, ensures the modeling integrity and evaluation reliability of a small number of target tube bundles, and lays the foundation for accurate estimation when humidity monitoring is abnormal.

[0097] Specific example: The preset target percentage threshold is 10%. If the target percentage is 8%, which is less than 10%, then all weather types (sunny, cloudy, rainy, snowy) will be used as the weather types for heat exchange analysis, and flow regulation tests will be arranged for each type of weather.

[0098] S32 determines the distribution data of heat exchange matching time periods under different weather types based on the fluctuation data of heat load demand under different weather types; Weather type: A category classified according to meteorological conditions, such as sunny, cloudy, overcast, rainy, snowy, etc. Different weather types affect the magnitude and fluctuation pattern of building heat load demand, thereby affecting the system's operating status.

[0099] Fluctuation data of heat load demand: refers to the numerical sequence of changes in building heat load demand over time under a specific weather type, reflecting the energy consumption pattern under that weather, and is usually obtained through statistical analysis of historical operating data.

[0100] Heat exchange matching period: This refers to the period during which the deviation rate between the available heat exchange capacity of the heat exchange device and the heat load demand is within a preset deviation rate range. During this period, the system supply and demand are highly matched, and the system is in a critical operating state. The requirements for heating reliability are extremely high during this period.

[0101] Distribution data refers to the statistical characteristics of heat exchange matching periods under specific weather types, such as frequency and duration. It is usually expressed by indicators such as average daily duration and number of days it occurs, and is used to measure the degree to which the system is in a critical state under that weather type.

[0102] The system's operational status varies significantly under different weather types. By analyzing the distribution of heat exchange matching periods, it is possible to identify which weather types the system is in a critical state for a long time (more in the immediate vicinity) and which weather types it is in a non-critical state (few or no in the immediate vicinity). This provides a scientific basis for selecting the testing time. This step correlates weather type with system operational status, transforming abstract weather classifications into specific operational characteristic indicators, laying a data foundation for subsequent selection of suitable weather types for testing.

[0103] Specific example: Set the deviation rate range for heat exchange matching time periods to [-5%, +5%]. Statistically analyze the operational data for various weather types over the past year, and obtain the average daily duration of the heat exchange matching time period as follows: sunny days 18 hours, cloudy days 14 hours, rainy days 8 hours, snowy days 0 hours.

[0104] The above steps include the following: Case 1: If there is no heat exchange matching period under the weather type, the reliability requirement of the heat load demand is low, so the weather type is determined to be a heat exchange analysis weather type; No heat exchange matching period: This refers to a situation where, under a specific weather type, the deviation rate between the system's heat exchange and the heat load demand always exceeds the preset deviation rate range, and a high degree of matching is never achieved. This manifests as a continuous shortage or excess of heat supply.

[0105] The reliability requirements for heat load demand are relatively low: This means that under such weather conditions, the system itself is already in a state of supply and demand mismatch, with either a large or small amount of heat supply, so adjustments will not affect the overall load balance.

[0106] When a heat exchange matching period never occurs under a certain weather type, it indicates that the system is in a non-critical state for a long time under this type of weather. At this time, conducting flow regulation tests will not affect the heat supply balance during critical periods. Including non-critical weather types in the analysis scope not only ensures the safety of the test operation, but also provides data support for subsequent operation optimization.

[0107] Case 2: If there is a heat exchange matching period under the weather type, obtain the average daily duration of the heat exchange matching period under the weather type, and determine whether the average daily duration of the heat exchange matching period under the weather type is greater than the preset duration threshold. If yes, it is determined that the weather type does not belong to the heat exchange analysis weather type. If no, proceed to step S33. Average daily duration of heat exchange matching period: Under a specific weather type, the average number of hours during which heat exchange matching period occurs each day, reflecting the proportion of time the system is in a critical state under that weather type.

[0108] Preset duration threshold: A pre-set daily average duration threshold used to determine whether the system is in a critical state under a certain weather type and has reached the level that requires exclusion testing.

[0109] If the average daily duration of the heat exchange matching period is long under a certain weather type, it indicates that the system is in a critical state for an extended period under this weather condition, requiring high heating reliability. Conducting flow regulation tests under such weather conditions would disrupt the critical balance, potentially causing the actual heating supply to deviate from demand and reducing heating reliability; therefore, this method must be excluded.

[0110] Specific example: The preset duration threshold is 10 hours. If the average daily duration of a sunny day is 18 hours, which is greater than 10 hours, then sunny days are determined not to belong to the weather type for heat exchange analysis; if the average daily duration of a cloudy day is 14 hours, which is greater than 10 hours, then cloudy days are determined not to belong to the weather type for heat exchange analysis; if the average daily duration of a rainy day is 8 hours, which is not greater than 10 hours, then proceed to step S33 for further judgment.

[0111] S33 uses the proportion of the analysis target and the distribution data of the heat exchange matching time period under the weather type to determine whether the weather type is a heat exchange analysis weather type.

[0112] Daily average duration threshold: A critical value dynamically determined based on the proportion of the analysis target, used to determine whether a certain weather type is sufficiently "non-critical" to be suitable for testing. This threshold increases as the proportion of the analysis target increases, meaning that the requirements for "non-criticality" are more stringent.

[0113] Dynamic adjustment: Adjust the daily average duration threshold value based on changes in the proportion of the analysis target to match the screening criteria with the number of target bundles. The adjustment rule can be set as a base threshold plus an increment related to the proportion of the analysis target.

[0114] When there are few heat transfer analysis targets, the system aims to comprehensively determine the overall heating reliability. It dynamically lowers the threshold to ensure that weather types with fewer adjacent time periods (i.e., the least critical) are included in the analysis, thus completing the modeling task while ensuring test safety.

[0115] By combining the target proportion with weather type characteristics, adaptive selection of test weather types can be achieved, ensuring the best balance between the safety and effectiveness of the test operation.

[0116] It should be noted that the larger the proportion of the analysis target, the smaller the daily average duration threshold.

[0117] Specific example: A base duration threshold of 10 hours is set, and the adjustment rule is that the threshold decreases by 1 hour for every 5% increase in the proportion of the analysis target. If the proportion of the analysis target is 15%, then the dynamic threshold is 9 hours. Rainy days with an average daily duration of 8 hours are less than 9 hours, therefore rainy days fall under the heat exchange analysis weather type. If the average daily duration of rainy days is greater than or equal to 9 hours, then it does not fall under this category.

[0118] It is understood that, based on the proportion of the analysis target, the daily average duration threshold of the weather type is determined, and it is determined whether the daily average duration of the heat exchange matching period under the weather type is less than the daily average duration threshold. If so, the weather type is determined to belong to the heat exchange analysis weather type; otherwise, the weather type is determined to belong to the heat exchange analysis weather type.

[0119] Specifically, if the weather type belongs to the heat exchange analysis weather type, then under the weather type, the flow rate of the heat exchange analysis target is adjusted to determine the heat exchange model of the geothermal system under different flow rates in different humidity ranges, so that when there are abnormalities in humidity monitoring, the heat exchange effect of the geothermal system can be effectively determined.

[0120] Furthermore, the analysis and processing results within the humidity range are determined based on the consistency of the heat exchange efficiency of different heat exchange devices within the humidity range.

[0121] The update processing module performs heat exchange analysis on the heat exchange analysis target under the heat exchange analysis weather type to obtain the analysis results, and obtains the consistency of heat exchange efficiency in different humidity ranges. Based on the analysis results in different humidity ranges, it identifies the humidity ranges where the consistency of heat exchange efficiency in different humidity ranges does not meet the requirements, and designates them as consistency deviation humidity ranges. The module then determines the operating period of the heat exchange device within the consistency deviation humidity range based on the overlap between the consistency deviation humidity range and the soil moisture of the heat exchange device. Based on the consistency deviation humidity range and the operating period data of the heat exchange device within the consistency deviation humidity range, it determines the update management method for the heat exchange analysis target in the heat exchange device.

[0122] Specifically, such as Figure 3 As shown, the method for determining the update management method of the heat exchange analysis target in the heat exchange device is as follows: This invention focuses on analyzing the consistency of heat exchange efficiency among various heat exchange analysis targets within different humidity ranges. By considering the humidity monitoring reliability of the existing heat exchange analysis targets, it identifies tube bundles that have been operating for a long time within the consistent deviation humidity range, have low reliability, and require inclusion from heat exchange devices not yet included in the analysis. The set of heat exchange devices requiring key monitoring is then dynamically updated. The logic is as follows: when there is a significant difference in heat exchange efficiency among heat exchange analysis targets within a certain humidity range, it indicates the existence of a high-risk area with abnormal heat exchange characteristics within that range. Tube bundles operating in this area have low reliability. If the heat exchange analysis target, which is the cornerstone of the system monitoring, experiences humidity monitoring anomalies, the overall monitoring reliability will be severely weakened. In this case, tube bundles that frequently operate within the consistent deviation humidity range and are not yet included in the analysis will have low reliability. Furthermore, their humidity monitoring devices will be biased when the overall monitoring reliability is low. Due to the consistent deviation within the humidity range, their true heat exchange characteristics cannot be accurately assessed. Therefore, these types of tube bundles must be included in the heat transfer analysis targets, and a heat transfer model must be established in advance to ensure the overall system's monitoring reliability to the greatest extent possible should the monitoring reliability of the heat transfer analysis targets be compromised. The updated management method is determined comprehensively based on the number of consistent deviation humidity ranges, the proportion of tube bundle operating time within the deviation ranges, and the total scale of the existing heat transfer analysis targets, prioritizing the tube bundles with the longest operating time and lowest reliability within the deviation ranges for supplementation.

[0123] Based on the analysis results in different humidity ranges, S41 identifies the humidity ranges in which the consistency of heat exchange efficiency does not meet the requirements and uses them as the consistency deviation humidity ranges. Humidity range: A continuous range divided according to the numerical range of soil moisture, such as dividing humidity into dry, moderate, and humid ranges, used to classify and analyze the heat exchange characteristics of heat exchange devices under different humidity conditions.

[0124] Analysis and processing results: refers to the heat exchange model established after conducting flow regulation tests on the existing heat exchange analysis target, and the heat exchange efficiency of each tube bundle in different humidity ranges calculated based on the model.

[0125] Heat exchange efficiency: The amount of heat exchanged per unit temperature difference and unit flow rate, reflecting the heat exchange performance of the tube bundle, usually expressed as the amount of heat exchanged per meter of burial depth or the comprehensive heat exchange coefficient.

[0126] Consistency: refers to the degree of similarity in heat exchange efficiency among different heat exchange analysis targets within the same humidity range, which is quantified by calculating the deviation rate between them.

[0127] Consistent Deviation Humidity Range: There exists a humidity range in which the deviation rate of heat exchange efficiency between heat exchange devices is greater than the preset heat exchange efficiency deviation rate threshold, indicating that the heat exchange performance of some tube bundles in this range has significantly deviated from the overall level.

[0128] The consistency of heat transfer efficiency reflects the uniformity of the performance of existing heat transfer analysis targets under the same humidity conditions. If the heat transfer efficiency of each tube varies too much within a certain humidity range, it indicates that some tube bundles may have local soil property differences, backfill quality problems, or long-term performance degradation. If these tube bundles have not yet been included in the heat transfer analysis targets, their heat transfer characteristics are unknown, and they cannot be accurately assessed once humidity monitoring is abnormal.

[0129] Specific example: Set the preset heat exchange efficiency deviation rate threshold to 15%. Within the medium humidity range, calculate the heat exchange efficiency of the existing heat exchange analysis targets. It is found that the heat exchange efficiency of tube No. 47 is 52W / m, while the average heat exchange efficiency of other heat exchange analysis targets is 45W / m, with a deviation rate of 15.6%, which is greater than 15%. Therefore, the medium humidity range is determined as the consistent deviation humidity range.

[0130] It should be noted that the consistent deviation humidity range is the humidity range in which the deviation rate of heat exchange efficiency between heat exchange devices is greater than the preset heat exchange efficiency deviation rate threshold.

[0131] Understandably, when there is no consistent humidity deviation range, there is no need to update the heat exchange analysis target of the heat exchange device. In this case, the reliability of soil moisture monitoring and analysis of all heat exchange devices can be guaranteed.

[0132] If the heat exchange efficiency of the existing heat exchange analysis targets remains highly consistent across all humidity ranges, it indicates that the heat exchange characteristics of these targets are representative and can be reliably evaluated and analyzed without the need to add new target tube bundles. In this case, all heat exchange devices can be reliably evaluated and analyzed across all soil humidity ranges. Even if there are monitoring anomalies, they can be accurately evaluated using the model, avoiding unnecessary update operations and maintaining stable system operation.

[0133] Additionally, it can be understood that when there are consistent deviation humidity ranges, the number of consistent deviation humidity ranges is obtained, and it is determined whether the number of consistent deviation humidity ranges is greater than the preset threshold for the number of deviation humidity ranges. If so, the heat exchange analysis target of the heat exchange device is updated as long as there is a heat exchange device with a deviation in humidity monitoring. If not, the process proceeds to step S42. Number of consistent deviation humidity ranges: refers to the number of humidity ranges identified as having significant differences in heat exchange efficiency, reflecting the extent of high-risk areas.

[0134] Preset threshold for the number of humidity ranges with deviation: A pre-set critical value for the number of humidity ranges used to determine whether high-risk areas are widely distributed under multiple humidity conditions.

[0135] Heat exchange devices with humidity monitoring deviations: This refers to existing heat exchange analysis targets where humidity sensor data with tube bundles exhibits abnormal fluctuations, malfunctions, or significant deviations from other associated tube bundles, making reliable humidity monitoring unreliable. For example, the deviation rate of monitoring data from humidity sensors in other tube bundles exceeds a preset deviation rate threshold, or humidity fluctuations occur at different times within a recent preset time period (where the humidity fluctuation time is defined as the time when the rate of change from adjacent monitoring times exceeds a preset change rate threshold). This is the core condition for triggering an update because the heat exchange analysis target is the cornerstone of system monitoring reliability; its anomalies weaken the overall verification capability, and at this time, model data with a consistent deviation range cannot guarantee monitoring reliability.

[0136] When inconsistent heat exchange efficiencies are observed across multiple humidity ranges, it indicates the presence of widespread high-risk areas within the system, necessitating a significant increase in monitoring reliability requirements. If the heat exchange analysis target itself, serving as the basis for monitoring, experiences humidity anomalies, the overall monitoring reliability will drastically decrease. New tube bundles must be immediately added to the heat exchange analysis target to rebuild a reliable monitoring network. In situations where high-risk areas are widespread and the monitoring infrastructure is compromised, proactive update management methods must be implemented to maximize the system's fault tolerance.

[0137] Specific example: The preset threshold for the number of humidity deviation intervals is 2. If two of the three humidity intervals (dry, medium, and humid) are identified as consistently deviating humidity intervals, the number exceeds the threshold. In this case, if any humidity sensor of any heat exchange analysis target (such as tube 47) shows abnormal fluctuations, the update process will be immediately initiated.

[0138] It should be noted that when updating the heat exchange analysis target of the heat exchange device, the longest duration of the operating segment within the consistent humidity deviation range is selected as the updated heat exchange analysis target, in descending order of operating duration.

[0139] Tube bundles that operate for longer periods within a consistent humidity deviation range are in high-risk areas for longer, have lower reliability, and pose a greater potential impact on overall system performance. If these tube bundles are not yet included in heat transfer analysis targets, they will be completely unassessable when anomalies are detected. Prioritizing the inclusion of these low-reliability tube bundles maximizes monitoring reliability and ensures that updated resources are prioritized for tube bundles that have operated for the longest periods in high-risk areas and have the lowest reliability.

[0140] S42 determines the operating period of the heat exchange device within the consistent deviation humidity range based on the overlap between the consistent deviation humidity range and the soil moisture of the heat exchange device. The above steps include the following: The heat exchange device is identified as a potential update target if the percentage of its operating time within the time interval of the consistent deviation is greater than a preset threshold. Overlapping conditions: refers to the time period during which the soil moisture value falls within the consistent deviation humidity range when the heat exchange device is actually running.

[0141] Operating period: The time window during which the heat exchange device operates within a consistent humidity deviation range, usually measured in hours or days.

[0142] Only tube bundles operating within high-risk humidity ranges will have a substantial impact on the system due to their low reliability. By analyzing overlap patterns, we can identify the tube bundles that truly require attention and are operating in high-risk areas.

[0143] Duration percentage: The ratio of the operating time of the heat exchange device within the consistent humidity deviation range to the total statistical time.

[0144] Preset deviation period duration threshold: A pre-set critical value for the duration. If this value is exceeded, it is considered that the tube bundle has been operating in the high-risk humidity range for a long time, its own reliability is low, and it has a significant impact on the system.

[0145] Potential update targets: These are candidate tube bundles that meet the time percentage criteria, have low reliability due to long operating time in risk areas, and may need to be added to the heat transfer analysis targets. These tube bundles have not yet been included in the heat transfer analysis targets.

[0146] If a tube bundle operates for a very small percentage of its time in the high-risk humidity range, even if its heat exchange efficiency varies, the impact on the overall system is limited, and it does not require priority replacement. Only low-reliability tube bundles that operate for a long time in the risk area are worth including in the replacement scope. Tube bundles with minor impact should be filtered out, and the focus should be on key objects that operate for a long time in the risk area and have low reliability.

[0147] Specific example: Based on data from the past year, calculate the percentage of each heat exchanger's operating time within the medium humidity range. Set a preset threshold of 20% for the percentage of time spent in the deviation period. If tube 103 operates for 1950 hours within the medium humidity range, out of a total operating time of 5000 hours, representing 39%, which is greater than 20%, then it is considered a potential replacement target. Note that tube 103 is not currently a heat exchanger analysis target, and due to its long operating time in the risk area, it belongs to a tube bundle with lower reliability.

[0148] S43 determines an update management method for the heat exchange analysis target in the heat exchange device based on the consistent deviation humidity range and the operating time data of the heat exchange device within the consistent deviation humidity range.

[0149] Furthermore, the number of potential update targets and heat exchange analysis targets is obtained, and it is determined whether the total number of potential update targets and heat exchange analysis targets accounts for a proportion greater than a preset target proportion threshold among all heat exchange devices. If so, it is determined that the remaining heat exchange devices do not need to be updated. If not, the remaining heat exchange devices are used as update heat exchange analysis targets only when the number of heat exchange devices with humidity monitoring deviations does not meet the requirements. That is, the longest running time within the consistent deviation humidity range is selected from high to low as the update heat exchange analysis target.

[0150] Potential update targets: heat exchange devices selected through step S42 that have a long operating time within the consistent deviation humidity range, low reliability, and have not yet been included in the heat exchange analysis targets.

[0151] Heat exchange analysis target: The heat exchange devices that have been identified as requiring key monitoring.

[0152] Total percentage: The proportion of the sum of potential update targets and heat exchange analysis targets in the total number of heat exchange devices.

[0153] Preset target percentage threshold: A pre-set critical value for the percentage of the total number of tubes, used to determine whether the tubes that need to be monitored have reached a reasonable upper limit.

[0154] Anomalies in humidity monitoring of heat exchange analysis target: As before, this refers to an anomaly in humidity monitoring of existing heat exchange analysis target. As a trigger condition for update operation, the criterion for determining "deviation in humidity monitoring" is, for example, "when its humidity sensor data exceeds its historical normal operating range, or when the humidity deviation rate with the associated heat exchange device continuously exceeds the preset threshold."

[0155] When the sum of potential update targets and existing heat transfer analysis targets already constitutes a significant proportion, it indicates that the system has covered a sufficient number of tube bundles. Even if the remaining tube bundles exhibit humidity monitoring anomalies, these can be extrapolated using the established model network, eliminating the need for further updates and preventing over-modeling that could impact the system's reliable operation. Simultaneously, update triggering conditions are linked to monitoring anomalies of existing heat transfer analysis targets. This ensures that updates are only performed when the monitoring infrastructure is compromised and overall reliability declines. In such cases, adding potential update targets that have been operating longest and have the lowest reliability in the risk area allows for the fastest restoration of monitoring capabilities. This approach controls the total scale of heat transfer analysis targets while ensuring monitoring reliability, optimizing resources and ensuring the timeliness and relevance of update operations, prioritizing the inclusion of the most critical low-reliability tube bundles.

[0156] Specific example: The preset target percentage threshold is 20%. There are a total of 120 heat exchangers. There are 18 existing heat exchanger analysis targets and 8 potential replacement targets, totaling 26 targets, or 21.7%, which is greater than 20%. Therefore, the remaining 94 heat exchangers do not need to be replaced. If the total is 22 targets, or 18.3%, which is less than 20%, then we continue to wait for trigger conditions. For example, if the number of heat exchanger analysis targets with humidity monitoring deviations exceeds 10, then replacement processing is required.

[0157] Furthermore, when a potential update target is identified, if there is a heat exchange device with a deviation in humidity monitoring, the potential update target will be used as the updated heat exchange analysis target. The potential update target will be selected from the longest operating time within the consistent humidity deviation range, ranked from high to low, and used as the updated heat exchange analysis target each time. This ensures the overall monitoring reliability while avoiding the impact of frequent heat exchange model identification and analysis on heating reliability.

[0158] Potential update targets are inherently those that have been operating in high-risk areas for extended periods and have low reliability. If the heat transfer analysis targets, which form the basis of monitoring, malfunction, the overall monitoring capability declines, and these low-reliability tube bundles become the system's biggest weakness. Therefore, it is essential to prioritize adding the tube bundles with the longest operating time and highest risk to quickly address monitoring gaps and implement a dynamic and precise update management method. This approach ensures reliability while minimizing the frequency of updates and operational impact, guaranteeing that the update targets are always the low-reliability tube bundles that require the most attention in the system.

[0159] Example 2 Secondly, the present invention provides a heat exchange device for a geothermal system, employing the aforementioned heat exchange analysis system for a geothermal system, specifically comprising: Humidity monitoring device, heat exchange monitoring device, heat exchange module; The humidity monitoring device is responsible for monitoring and processing the soil moisture of the heat exchange device, and the heat exchange monitoring device is responsible for monitoring and processing the heat exchange of the heat exchange module of the heat exchange device.

[0160] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0161] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0162] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A heat exchange analysis system for geothermal systems, characterized in that, Specifically, it includes: Target identification module, weather type filtering module, update processing module; The target determination module is responsible for determining the heat exchange analysis target in the heat exchange device based on the degree of matching between the heat exchange data of the heat exchange device in the geothermal system and the heat load demand, when there is no need to determine the target of heat exchange analysis processing according to the preset strategy. The preset strategy mentioned above requires all heat exchange devices to be considered as targets for heat exchange analysis and processing. The weather type filtering module is responsible for determining the heat exchange analysis weather type based on the data of the heat exchange analysis target and the heat exchange matching time period data under different weather types. The heat exchange matching time period data under the weather type is the distribution characteristics of the heat exchange matching time period under different weather types. The update processing module performs heat exchange analysis on the heat exchange analysis targets under the heat exchange analysis weather type to obtain the consistency of heat exchange efficiency in different humidity ranges. Based on the analysis results in different humidity ranges, it identifies humidity ranges where the consistency of heat exchange efficiency does not meet the requirements and designates them as consistency deviation humidity ranges. The module then determines the operating period of the heat exchange device within the consistency deviation humidity range based on the overlap between the consistency deviation humidity range and the soil moisture of the heat exchange device. Based on the consistency deviation humidity range and the operating period data of the heat exchange device within the consistency deviation humidity range, it determines the update management method for the heat exchange analysis targets in the heat exchange device. The consistency refers to the degree of proximity of heat exchange efficiency among different heat exchange analysis targets within the same humidity range, quantified by calculating the mutual deviation rate. The associated deviation period is the period when the number of similar humidity heat exchange devices is less than a preset threshold for the number of similar heat exchange devices. The method for determining the heat exchange analysis target in the heat exchange device is as follows: Based on the correlation between the soil moisture of the heat exchange device and other heat exchange devices at different time periods, the heat exchange device is identified as a similar heat exchange device in terms of humidity at different time periods. Based on the number of heat exchange devices with similar humidity, determine the associated deviation time period of the heat exchange devices; Based on the distribution data of the associated deviation periods in different dates, and the overlap between the associated deviation periods and the heat exchange matching periods, it is determined whether the heat exchange device belongs to the heat exchange analysis target.

2. The heat exchange analysis system for geothermal systems as described in claim 1, characterized in that, The humidity-similar heat exchange device refers to other heat exchange devices whose soil humidity deviation rate is within a preset humidity deviation rate range compared to the heat exchange device.

3. The heat exchange analysis system for geothermal systems as described in claim 1, characterized in that, If no heat exchange device with similar humidity exists at different times, its humidity will deviate significantly from that of other heat exchange devices. Once a monitoring deviation exists, it will be difficult to effectively identify the abnormal situation. Therefore, the heat exchange device is determined to be a target for heat exchange analysis.

4. The heat exchange analysis system for geothermal systems as described in claim 1, characterized in that, If the heat exchange device does not have a related deviation period, then the heat exchange device is determined not to be a heat exchange analysis target.

5. The heat exchange analysis system for geothermal systems as described in claim 1, characterized in that, The method for determining the weather type in the heat exchange analysis is as follows: Based on the heat exchange analysis target data, determine the proportion of heat exchange devices in the geothermal system that are the heat exchange analysis target, and use this proportion as the analysis target proportion; Based on the fluctuation data of heat load demand under different weather types, the distribution data of heat exchange matching time periods under the aforementioned weather types are determined; Using the proportion of the analysis target and the distribution data of the heat exchange matching time period under the weather type, it is determined whether the weather type is a heat exchange analysis weather type.

6. The heat exchange analysis system for a geothermal system as described in claim 5, characterized in that, If the proportion of the analysis target is less than the preset target proportion threshold, then all weather types will be used as the weather types for heat exchange analysis.

7. The heat exchange analysis system for a geothermal system as described in claim 6, characterized in that, If there is no heat exchange matching period under the stated weather type, then the stated weather type is determined to belong to the heat exchange analysis weather type.

8. A heat exchange device for a geothermal system, employing a heat exchange analysis system for a geothermal system as described in any one of claims 1-7, characterized in that, Specifically, it includes: Humidity monitoring device, heat exchange monitoring device, heat exchange module; The humidity monitoring device is responsible for monitoring and processing the soil moisture of the heat exchange device, and the heat exchange monitoring device is responsible for monitoring and processing the heat exchange of the heat exchange module of the heat exchange device.

Images