Self-adaptive frequency conversion regulation and control method and system for circulating pump of heat exchange station of heat supply system
Through the adaptive frequency conversion control method, the frequency conversion control coefficient is calculated using real-time operation data, and the strategy is set to solve the problem that the circulating pump in traditional heating systems cannot respond to changes in heat load in real time, so as to achieve the stability, economy and energy efficiency of the heating system. Improvement.
Patent Information
- Application Number
- CN202411511238.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-28
- Publication Date
- 2025-02-18
AI Technical Summary
In traditional heating systems, the operating mode of the circulating pump cannot respond to changes in thermal load in real time, causing overheating or overcooling of the user end, affecting the heating quality and comfort. At the same time, frequent regulating the valve increases system resistance loss and reduces energy efficiency.
Adaptive frequency conversion control method is adopted to obtain real-time operation data of the heat exchange station circulation pump, divide it into strong correlation and weak correlation data, calculate the corresponding frequency conversion control coefficient, set the frequency conversion control strategy, and realize intelligent frequency conversion control .
Ensure heating stability and economy, significantly improve the energy efficiency ratio of the heating system, reduce unnecessary energy consumption, and ensure stable and comfortable room temperature at the user end.
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Figure CN119468302A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of variable frequency control of heat exchange stations, and in particular to a method and system for adaptive variable frequency control of a circulating pump of a heat exchange station in a heating system. Background Art
[0002] The heat exchange station circulation pump is one of the key equipment in the central heating system. Its main function is to drive the heating medium (usually water or steam) to circulate between the heat source and the user to achieve effective heat transfer. The heat exchange station circulation pump plays a vital role in the central heating system. With the continuous advancement of technology and the improvement of the level of intelligence, the future heat exchange station circulation pump will be more efficient and reliable, and can better meet the personalized needs of users.
[0003] In traditional heating systems, circulating pumps mostly use a constant speed operation mode, that is, the pump speed remains unchanged, and the heat load requirements of different time periods and different areas are met by adjusting the valve opening. However, this method has obvious limitations: on the one hand, frequent valve adjustment will increase the resistance loss of the system and reduce the overall energy efficiency; on the other hand, since it cannot respond to changes in heat load in real time, it is easy to cause overheating or overcooling at the user end, affecting the heating quality and comfort. Summary of the invention
[0004] The embodiments of the present invention provide a method and system for adaptive frequency conversion control of a circulating pump in a heat exchange station of a heating system, which can realize intelligent frequency conversion control of the circulating pump in the heat exchange station, ensure the stability and economy of heating, significantly improve the energy efficiency ratio of the heating system, reduce unnecessary energy consumption, and ensure stable and comfortable room temperature at the user end.
[0005] In order to achieve the above object, the present invention provides a method for adaptive frequency conversion control of a circulating pump in a heat exchange station of a heating system, comprising:
[0006] Acquire real-time operation data of a circulating pump of a heat exchange station, analyze the real-time operation data, and divide the real-time operation data into strongly correlated operation data and weakly correlated operation data;
[0007] Extracting all strongly correlated operating data, analyzing the strongly correlated operating data, and calculating the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump based on the analysis results;
[0008] Collecting historical frequency conversion control records of the heat exchange station circulation pump, traversing the weakly correlated operation data in the historical frequency conversion control records, and calculating the weakly correlated frequency conversion control coefficient of the heat exchange station circulation pump based on the traversal results;
[0009] The comprehensive variable frequency control coefficient of the heat exchange station circulation pump is calculated based on the strongly correlated variable frequency control coefficient and the weakly correlated variable frequency control coefficient, and the variable frequency control strategy of the heat exchange station circulation pump is set according to the comprehensive variable frequency control coefficient.
[0010] Furthermore, when acquiring the real-time operation data of the circulating pump of the heat exchange station, analyzing the real-time operation data, and dividing the real-time operation data into strongly correlated operation data and weakly correlated operation data, it includes:
[0011] Output the operation correlation value of each real-time operation data based on the pre-trained correlation value model;
[0012] Clustering all running correlation values, determining running correlation value clusters, and determining cluster centers;
[0013] Determine the distance from each running correlation value to the cluster center, and extract the maximum distance L1 and the minimum distance L2;
[0014] Calculate a distance segmentation value according to the maximum distance L1 and the minimum distance L2, and use all real-time operation data corresponding to distances less than the distance segmentation value as weakly correlated operation data;
[0015] The real-time operation data corresponding to all distances greater than or equal to the distance segmentation value are regarded as strongly associated operation data.
[0016] Furthermore, the associated value model is trained according to the following steps:
[0017] Obtaining historical operation data of the circulating pump of the heat exchange station, and selecting a training set and a validation set from the historical operation data; wherein the training set includes historical operation data at multiple moments, and the validation set includes corresponding load values of the heat exchange station;
[0018] The long short-term memory neural network model is trained according to the training set and the verification set to obtain the associated value model.
[0019] Furthermore, when all the strongly correlated operating data are extracted and analyzed, and the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes:
[0020] Determine a plurality of collection time periods, and determine a plurality of historical heating loads of the circulation pump of the heat exchange station based on the collection time periods;
[0021] Calculate the average of all historical heating loads and use it as the historical heating load factor;
[0022] Determine multiple real-time heating loads of the circulating pump of the heat exchange station based on the acquisition time period;
[0023] Calculate the average of all real-time heating loads and use it as the real-time heating load factor;
[0024] Calculating the difference between the historical heating load factor and the real-time heating load factor, and calculating the product of the difference between the heating load factor and the collection time length of each collection time period, and using it as the collection time coefficient of the corresponding collection time period;
[0025] Calculate the heating load difference between each real-time heating load and the real-time heating load factor, and calculate the product value of each heating load difference and the corresponding collection time coefficient;
[0026] All product values are accumulated and calculated to determine the first strongly correlated variable frequency control coefficient of the circulating pump of the heat exchange station.
[0027] Furthermore, when all the strongly correlated operating data are extracted and analyzed, and the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes:
[0028] Acquire reference operating data corresponding to the strongly correlated operating data, and divide all strongly correlated operating data greater than the reference operating data into a first operating data set;
[0029] dividing all strongly correlated operating data that are less than or equal to the reference operating data into a second operating data set;
[0030] Calculating the deviation value between each strongly correlated operating data in the first operating data set and the reference operating data, and generating a first deviation value sequence according to all the deviation values;
[0031] Fitting the first deviation value sequence to obtain a first fitting curve, and acquiring a slope k1 of the first fitting curve;
[0032] Determine the calculation factor e based on the slope k1 k1 , calculate the first sequence mean of the first deviation value sequence, and calculate the calculation factor e k1 The product value of the first sequence mean is used as the first deviation coefficient;
[0033] Calculating the deviation value between each strongly correlated operating data in the second operating data set and the reference operating data, and generating a second deviation value sequence according to all the deviation values;
[0034] Fitting the second deviation value sequence to obtain a second fitting curve, and acquiring a slope k2 of the second fitting curve;
[0035] Determine the calculation factor e based on the slope k2 k2, calculate the second sequence mean of the second deviation value sequence, and calculate the calculation factor e k2 The product value of the mean of the second sequence is used as the second deviation coefficient;
[0036] A second strongly correlated frequency conversion control coefficient of the heat exchange station circulation pump is determined according to the first deviation coefficient and the second deviation coefficient.
[0037] Furthermore, when all the strongly correlated operating data are extracted and analyzed, and the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes:
[0038] configuring a first calculation weight for the first strongly associated variable frequency control coefficient, and configuring a second calculation weight for the second strongly associated variable frequency control coefficient;
[0039] The strongly correlated variable frequency control coefficient of the heat exchange station circulating pump is calculated according to the following formula:
[0040]
[0041] Among them, s is the strongly correlated variable frequency control coefficient, f1 is the first strongly correlated variable frequency control coefficient, f2 is the second strongly correlated variable frequency control coefficient, d1 is the first calculation weight, and d2 is the second calculation weight.
[0042] Furthermore, when collecting the historical variable frequency control records of the circulating pump of the heat exchange station, traversing the weakly correlated operation data in the historical variable frequency control records, and calculating the weakly correlated variable frequency control coefficient of the circulating pump of the heat exchange station based on the traversal results, it includes:
[0043] Analyze the historical frequency conversion control records to determine historical abnormal frequency conversion control records;
[0044] Traversing the weakly correlated operating data in the historical abnormal frequency conversion control records, generating an abnormal mark for the corresponding historical abnormal frequency conversion control records, and determining the number of occurrences of the weakly correlated operating data;
[0045] Determine the historical abnormal values corresponding to all historical abnormal frequency conversion control records carrying abnormal marks, and determine the maximum historical abnormal value;
[0046] The weakly correlated variable frequency control coefficient of the heat exchange station circulation pump is calculated according to the number of occurrences and the maximum historical abnormal value.
[0047] Further, when calculating the weakly correlated variable frequency control coefficient of the heat exchange station circulation pump according to the number of occurrences and the maximum historical abnormal value, it includes:
[0048] The weakly correlated variable frequency control coefficient of the heat exchange station circulation pump is calculated according to the following formula:
[0049]
[0050] Among them, g is the weak correlation variable frequency control coefficient of the heat exchange station circulation pump, n1 is the number of occurrences of weak correlation operation data, n2 is the number of historical abnormal variable frequency control records, t j is the jth historical outlier, t max is the largest historical outlier.
[0051] Furthermore, when the variable frequency control strategy of the heat exchange station circulation pump is set according to the comprehensive variable frequency control coefficient, it includes:
[0052] Presetting a first preset comprehensive frequency conversion control coefficient and a second preset comprehensive frequency conversion control coefficient;
[0053] Presetting a first preset variable frequency control strategy, a second preset variable frequency control strategy, and a third preset variable frequency control strategy;
[0054] When the comprehensive variable frequency control coefficient is less than the first preset comprehensive variable frequency control coefficient, the first preset variable frequency control strategy is used as the variable frequency control strategy of the circulating pump of the heat exchange station;
[0055] When the comprehensive variable frequency control coefficient is greater than or equal to the first preset comprehensive variable frequency control coefficient and less than the second preset comprehensive variable frequency control coefficient, the second preset variable frequency control strategy is used as the variable frequency control strategy of the circulating pump of the heat exchange station;
[0056] When the comprehensive variable frequency control coefficient is greater than or equal to the second preset comprehensive variable frequency control coefficient, the third preset variable frequency control strategy is used as the variable frequency control strategy for the circulating pump of the heat exchange station.
[0057] In order to achieve the above object, the present invention also provides a heat exchange station circulating pump adaptive frequency conversion control system of a heating system, comprising:
[0058] The first module is used to obtain the real-time operation data of the circulating pump of the heat exchange station, analyze the real-time operation data, and divide the real-time operation data into strongly correlated operation data and weakly correlated operation data;
[0059] The second module is used to extract all the strongly correlated operating data, analyze the strongly correlated operating data, and calculate the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump based on the analysis results;
[0060] The third module is used to collect the historical frequency conversion control records of the circulating pump of the heat exchange station, and traverse the weakly correlated operation data in the historical frequency conversion control records, and calculate the weakly correlated frequency conversion control coefficient of the circulating pump of the heat exchange station based on the traversal results;
[0061] The fourth module is used to calculate the comprehensive variable frequency control coefficient of the heat exchange station circulating pump based on the strongly correlated variable frequency control coefficient and the weakly correlated variable frequency control coefficient, and set the variable frequency control strategy of the heat exchange station circulating pump according to the comprehensive variable frequency control coefficient.
[0062] Compared with the prior art, the present invention has the following beneficial effects:
[0063] The present invention discloses a method and system for adaptive frequency conversion control of a circulating pump in a heat exchange station of a heating system, which obtains real-time operation data of the circulating pump in the heat exchange station, and divides the real-time operation data into strongly correlated operation data and weakly correlated operation data; analyzes all strongly correlated operation data, and calculates a strongly correlated frequency conversion control coefficient; collects historical frequency conversion control records of the circulating pump in the heat exchange station, and traverses the weakly correlated operation data in the historical frequency conversion control records, and calculates a weakly correlated frequency conversion control coefficient; calculates a comprehensive frequency conversion control coefficient based on the strongly correlated frequency conversion control coefficient and the weakly correlated frequency conversion control coefficient, and sets a frequency conversion control strategy for the circulating pump in the heat exchange station according to the comprehensive frequency conversion control coefficient, thereby realizing intelligent frequency conversion control of the circulating pump in the heat exchange station, ensuring the stability and economy of heating, significantly improving the energy efficiency ratio of the heating system, reducing unnecessary energy consumption, and ensuring stable and comfortable room temperature at the user end. BRIEF DESCRIPTION OF THE DRAWINGS
[0064] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:
[0065] Figure 1 A schematic flow chart of a method for adaptive frequency conversion control of a circulating pump in a heat exchange station of a heating system according to an embodiment of the present invention is shown;
[0066] Figure 2 The schematic diagram of the structure of the adaptive frequency conversion control system of the circulating pump of the heat exchange station of the heating system in the embodiment of the present invention is shown. DETAILED DESCRIPTION
[0067] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0068] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.
[0069] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.
[0070] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.
[0071] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.
[0072] like Figure 1 As shown, an embodiment of the present invention discloses a method for adaptive frequency conversion control of a circulating pump in a heat exchange station of a heating system, comprising:
[0073] S110: acquiring real-time operation data of a circulating pump of a heat exchange station, analyzing the real-time operation data, and dividing the real-time operation data into strongly correlated operation data and weakly correlated operation data;
[0074] In this embodiment, the real-time operation data includes supply water temperature, return water temperature, supply and return water pressure difference, etc.
[0075] In some embodiments of the present application, when acquiring real-time operation data of a circulating pump of a heat exchange station, analyzing the real-time operation data, and dividing the real-time operation data into strongly correlated operation data and weakly correlated operation data, the method includes:
[0076] Output the operation association value of each real-time operation data based on the pre-trained association value model;
[0077] Clustering all running correlation values, determining running correlation value clusters, and determining cluster centers;
[0078] Determine the distance from each running correlation value to the cluster center, and extract the maximum distance L1 and the minimum distance L2;
[0079] Calculate a distance segmentation value according to the maximum distance L1 and the minimum distance L2, and use all real-time operation data corresponding to distances less than the distance segmentation value as weakly correlated operation data;
[0080] The real-time operation data corresponding to all distances greater than or equal to the distance segmentation value are regarded as strongly associated operation data.
[0081] In this embodiment, the distance division value=(L1+L2) / 2.
[0082] The beneficial effect of the above technical solution is that the present invention can accurately and conveniently divide the real-time operation data into strongly correlated operation data and weakly correlated operation data, thereby laying the foundation for the adaptive variable frequency control of the circulating pump of the heat exchange station of the heating system and ensuring the accuracy of the variable frequency control.
[0083] In some embodiments of the present application, the association value model is trained according to the following steps:
[0084] Obtaining historical operation data of the circulating pump of the heat exchange station, and selecting a training set and a validation set from the historical operation data; wherein the training set includes historical operation data at multiple moments, and the validation set includes corresponding load values of the heat exchange station;
[0085] The long short-term memory neural network model is trained according to the training set and the verification set to obtain the associated value model.
[0086] In this embodiment, the historical operation data includes supply water temperature, return water temperature, supply and return water pressure difference, etc.
[0087] The beneficial effect of the above technical solution is that the present invention trains the long short-term memory neural network model according to the training set and the verification set to obtain the associated value model, thereby achieving accurate training of the associated value model and avoiding errors.
[0088] S120: extracting all strongly correlated operating data, analyzing the strongly correlated operating data, and calculating the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump based on the analysis result;
[0089] In some embodiments of the present application, when all strongly correlated operating data are extracted and analyzed, and the strongly correlated frequency conversion control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes:
[0090] Determine a plurality of collection time periods, and determine a plurality of historical heating loads of the circulation pump of the heat exchange station based on the collection time periods;
[0091] Calculate the average of all historical heating loads and use it as the historical heating load factor;
[0092] Determine multiple real-time heating loads of the circulating pump of the heat exchange station based on the acquisition time period;
[0093] Calculate the average of all real-time heating loads and use it as the real-time heating load factor;
[0094] Calculating the difference between the historical heating load factor and the real-time heating load factor, and calculating the product of the difference between the heating load factor and the length of the collection time of each collection time period, and using it as the collection time coefficient of the corresponding collection time period;
[0095] Calculate the heating load difference between each real-time heating load and the real-time heating load factor, and calculate the product value of each heating load difference and the corresponding collection time coefficient;
[0096] All product values are accumulated and calculated to determine the first strongly correlated variable frequency control coefficient of the circulating pump of the heat exchange station.
[0097] In this embodiment, the collection time period is such as [1 minute, 5 minutes], [6 minutes, 11 minutes], etc., and the historical heating load corresponding to this time period is collected.
[0098] In this embodiment, the collection time length is the collection time of the collection time period, such as [1 minute, 5 minutes], that is, the corresponding collection time length is 4, and [6 minutes, 11 minutes] corresponds to a collection time length of 5.
[0099] The beneficial effect of the above technical solution is: the present invention accumulates all the product values to determine the first strongly correlated variable frequency control coefficient of the heat exchange station circulating pump, thereby ensuring the calculation accuracy of the first strongly correlated variable frequency control coefficient and providing one aspect of data support for the calculation of the strongly correlated variable frequency control coefficient.
[0100] In some embodiments of the present application, when all strongly correlated operating data are extracted and analyzed, and the strongly correlated frequency conversion control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes:
[0101] Acquire reference operating data corresponding to the strongly correlated operating data, and divide all strongly correlated operating data greater than the reference operating data into a first operating data set;
[0102] dividing all strongly correlated operating data that are less than or equal to the reference operating data into a second operating data set;
[0103] Calculating the deviation value between each strongly correlated operating data in the first operating data set and the reference operating data, and generating a first deviation value sequence according to all the deviation values;
[0104] Fitting the first deviation value sequence to obtain a first fitting curve, and acquiring a slope k1 of the first fitting curve;
[0105] Determine the calculation factor e based on the slope k1 k1 , calculate the first sequence mean of the first deviation value sequence, and calculate the calculation factor e k1 The product value of the first sequence mean is used as the first deviation coefficient;
[0106] Calculating the deviation value between each strongly correlated operating data in the second operating data set and the reference operating data, and generating a second deviation value sequence according to all the deviation values;
[0107] Fitting the second deviation value sequence to obtain a second fitting curve, and acquiring a slope k2 of the second fitting curve;
[0108] Determine the calculation factor e based on the slope k2 k2 , calculate the second sequence mean of the second deviation value sequence, and calculate the calculation factor e k2 The product value of the mean of the second sequence is used as the second deviation coefficient;
[0109] A second strongly correlated frequency conversion control coefficient of the heat exchange station circulation pump is determined according to the first deviation coefficient and the second deviation coefficient.
[0110] In this embodiment, the reference operation data corresponds one-to-one to the real-time operation data.
[0111] In this embodiment, the curve fitting method is complex and mature, and is not specifically limited here.
[0112] The beneficial effect of the above technical solution is: the present invention determines the second strongly correlated variable frequency control coefficient of the heat exchange station circulating pump according to the first deviation coefficient and the second deviation coefficient, which can avoid errors caused by human participation, ensure the calculation accuracy of the second strongly correlated variable frequency control coefficient, and provide another aspect of data support for the calculation of the strongly correlated variable frequency control coefficient.
[0113] In some embodiments of the present application, when all strongly correlated operating data are extracted and analyzed, and the strongly correlated frequency conversion control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes:
[0114] configuring a first calculation weight for the first strongly associated variable frequency control coefficient, and configuring a second calculation weight for the second strongly associated variable frequency control coefficient;
[0115] The strongly correlated variable frequency control coefficient of the heat exchange station circulating pump is calculated according to the following formula:
[0116]
[0117] Among them, s is the strongly correlated variable frequency control coefficient, f1 is the first strongly correlated variable frequency control coefficient, f2 is the second strongly correlated variable frequency control coefficient, d1 is the first calculation weight, and d2 is the second calculation weight.
[0118] The beneficial effect of the above technical solution is: the present invention configures a first calculation weight for the first strongly correlated variable frequency control coefficient, configures a second calculation weight for the second strongly correlated variable frequency control coefficient, and calculates the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump, further ensuring the setting accuracy of the strongly correlated variable frequency control coefficient and ensuring the intelligent setting of the heat exchange station circulating pump.
[0119] S130: collecting historical frequency conversion control records of the circulating pump of the heat exchange station, traversing the weakly correlated operation data in the historical frequency conversion control records, and calculating the weakly correlated frequency conversion control coefficient of the circulating pump of the heat exchange station based on the traversal results;
[0120] In some embodiments of the present application, when collecting the historical variable frequency control records of the heat exchange station circulating pump, traversing the weakly correlated operating data in the historical variable frequency control records, and calculating the weakly correlated variable frequency control coefficient of the heat exchange station circulating pump based on the traversal results, it includes:
[0121] Analyze the historical frequency conversion control records to determine historical abnormal frequency conversion control records;
[0122] Traversing the weakly correlated operating data in the historical abnormal frequency conversion control records, generating an abnormal mark for the corresponding historical abnormal frequency conversion control records, and determining the number of occurrences of the weakly correlated operating data;
[0123] Determine the historical abnormal values corresponding to all historical abnormal frequency conversion control records carrying abnormal marks, and determine the maximum historical abnormal value;
[0124] The weakly correlated variable frequency control coefficient of the heat exchange station circulation pump is calculated according to the number of occurrences and the maximum historical abnormal value.
[0125] In this embodiment, the historical frequency conversion control records are divided into safe frequency conversion control records and abnormal frequency conversion control records.
[0126] In this embodiment, each abnormal frequency conversion control record records a corresponding abnormal cause, and the number of occurrences of weakly correlated operating data is determined from the abnormal cause.
[0127] In this embodiment, the historical abnormal value refers to the historical loss value, that is, the heat loss caused to the heat exchange station when abnormal regulation occurs.
[0128] The beneficial effect of the above technical solution is: the present invention calculates the weakly correlated variable frequency control coefficient of the heat exchange station circulating pump according to the number of occurrences and the maximum historical abnormal value, which not only ensures the calculation accuracy of the weakly correlated variable frequency control coefficient, but also lays the foundation for the variable frequency control of the heat exchange station circulating pump.
[0129] In some embodiments of the present application, when calculating the weakly correlated variable frequency control coefficient of the heat exchange station circulating pump according to the number of occurrences and the maximum historical abnormal value, it includes:
[0130] The weakly correlated variable frequency control coefficient of the heat exchange station circulation pump is calculated according to the following formula:
[0131]
[0132] Among them, g is the weak correlation variable frequency control coefficient of the heat exchange station circulation pump, n1 is the number of occurrences of weak correlation operation data, n2 is the number of historical abnormal variable frequency control records, t j is the jth historical outlier, t max is the largest historical outlier.
[0133] S140: Calculate the comprehensive variable frequency control coefficient of the heat exchange station circulation pump based on the strongly correlated variable frequency control coefficient and the weakly correlated variable frequency control coefficient, and set the variable frequency control strategy of the heat exchange station circulation pump according to the comprehensive variable frequency control coefficient.
[0134] In some embodiments of the present application, when the variable frequency control strategy of the heat exchange station circulation pump is set according to the comprehensive variable frequency control coefficient, it includes:
[0135] Presetting a first preset comprehensive frequency conversion control coefficient and a second preset comprehensive frequency conversion control coefficient;
[0136] Presetting a first preset variable frequency control strategy, a second preset variable frequency control strategy, and a third preset variable frequency control strategy;
[0137] When the comprehensive variable frequency control coefficient is less than the first preset comprehensive variable frequency control coefficient, the first preset variable frequency control strategy is used as the variable frequency control strategy of the circulating pump of the heat exchange station;
[0138] When the comprehensive variable frequency control coefficient is greater than or equal to the first preset comprehensive variable frequency control coefficient and less than the second preset comprehensive variable frequency control coefficient, the second preset variable frequency control strategy is used as the variable frequency control strategy of the circulating pump of the heat exchange station;
[0139] When the comprehensive variable frequency control coefficient is greater than or equal to the second preset comprehensive variable frequency control coefficient, the third preset variable frequency control strategy is used as the variable frequency control strategy for the circulating pump of the heat exchange station.
[0140] In this embodiment, the first preset comprehensive frequency conversion control coefficient is smaller than the second preset comprehensive frequency conversion control coefficient.
[0141] In this embodiment, the first preset variable frequency control strategy includes a first preset operating frequency and a first preset speed, the second preset variable frequency control strategy includes a second preset operating frequency and a second preset speed, and the third preset variable frequency control strategy includes a third preset operating frequency and a third preset speed, wherein the first preset operating frequency is less than the second preset operating frequency and less than the third preset operating frequency, and the first preset speed is less than the second preset speed and less than the third preset speed.
[0142] The beneficial effects of the above technical solution are: the present invention can realize intelligent variable frequency control of the circulation pump of the heat exchange station, ensure the stability and economy of heating, significantly improve the energy efficiency ratio of the heating system, reduce unnecessary energy consumption, and ensure stable and comfortable room temperature at the user end.
[0143] In order to further explain the technical idea of the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.
[0144] Correspondingly, such as Figure 2 As shown, the present application also provides a heat exchange station circulating pump adaptive frequency conversion control system for a heating system, comprising:
[0145] The first module is used to obtain the real-time operation data of the circulating pump of the heat exchange station, analyze the real-time operation data, and divide the real-time operation data into strongly correlated operation data and weakly correlated operation data;
[0146] The second module is used to extract all the strongly correlated operating data, analyze the strongly correlated operating data, and calculate the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump based on the analysis results;
[0147] The third module is used to collect the historical frequency conversion control records of the circulating pump of the heat exchange station, and traverse the weakly correlated operation data in the historical frequency conversion control records, and calculate the weakly correlated frequency conversion control coefficient of the circulating pump of the heat exchange station based on the traversal results;
[0148] The fourth module is used to calculate the comprehensive variable frequency control coefficient of the heat exchange station circulating pump based on the strongly correlated variable frequency control coefficient and the weakly correlated variable frequency control coefficient, and set the variable frequency control strategy of the heat exchange station circulating pump according to the comprehensive variable frequency control coefficient.
[0149] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.
[0150] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.
[0151] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for adaptive frequency conversion control of a circulating pump in a heat exchange station of a heating system, characterized in that: include: Acquire real-time operation data of a circulating pump of a heat exchange station, analyze the real-time operation data, and divide the real-time operation data into strongly correlated operation data and weakly correlated operation data; Extracting all strongly correlated operating data, analyzing the strongly correlated operating data, and calculating the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump based on the analysis results; Collecting historical frequency conversion control records of the heat exchange station circulation pump, traversing the weakly correlated operation data in the historical frequency conversion control records, and calculating the weakly correlated frequency conversion control coefficient of the heat exchange station circulation pump based on the traversal results; The comprehensive variable frequency control coefficient of the heat exchange station circulation pump is calculated based on the strongly correlated variable frequency control coefficient and the weakly correlated variable frequency control coefficient, and the variable frequency control strategy of the heat exchange station circulation pump is set according to the comprehensive variable frequency control coefficient.
2. The adaptive frequency conversion control method for the circulating pump of the heat exchange station of the heating system according to claim 1 is characterized in that: When acquiring the real-time operation data of the circulating pump of the heat exchange station, analyzing the real-time operation data, and dividing the real-time operation data into strongly correlated operation data and weakly correlated operation data, it includes: Output the operation correlation value of each real-time operation data based on the pre-trained correlation value model; Clustering all running correlation values, determining running correlation value clusters, and determining cluster centers; Determine the distance from each running correlation value to the cluster center, and extract the maximum distance L1 and the minimum distance L2; Calculate a distance segmentation value according to the maximum distance L1 and the minimum distance L2, and use all real-time operation data corresponding to distances less than the distance segmentation value as weakly correlated operation data; The real-time operation data corresponding to all distances greater than or equal to the distance segmentation value are regarded as strongly associated operation data.
3. The adaptive frequency conversion control method for circulating pump of heat exchange station in heating system according to claim 2 is characterized in that: Train the associated value model according to the following steps: Obtaining historical operation data of the circulating pump of the heat exchange station, and selecting a training set and a validation set from the historical operation data; wherein the training set includes historical operation data at multiple moments, and the validation set includes corresponding load values of the heat exchange station; The long short-term memory neural network model is trained according to the training set and the verification set to obtain the associated value model.
4. The adaptive frequency conversion control method for circulating pumps in a heat exchange station of a heating system according to claim 1, characterized in that: When all the strongly correlated operating data are extracted and analyzed, and the strongly correlated frequency conversion control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes: Determine a plurality of collection time periods, and determine a plurality of historical heating loads of the circulation pump of the heat exchange station based on the collection time periods; Calculate the average of all historical heating loads and use it as the historical heating load factor; Determine multiple real-time heating loads of the circulating pump of the heat exchange station based on the acquisition time period; Calculate the average of all real-time heating loads and use it as the real-time heating load factor; Calculating the difference between the historical heating load factor and the real-time heating load factor, and calculating the product of the difference between the heating load factor and the collection time length of each collection time period, and using it as the collection time coefficient of the corresponding collection time period; Calculate the heating load difference between each real-time heating load and the real-time heating load factor, and calculate the product value of each heating load difference and the corresponding collection time coefficient; All product values are accumulated and calculated to determine the first strongly correlated variable frequency control coefficient of the circulating pump of the heat exchange station.
5. The adaptive frequency conversion control method for circulating pumps in a heat exchange station of a heating system according to claim 4 is characterized in that: When all the strongly correlated operating data are extracted and analyzed, and the strongly correlated frequency conversion control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes: Acquire reference operating data corresponding to the strongly correlated operating data, and divide all strongly correlated operating data greater than the reference operating data into a first operating data set; dividing all strongly correlated operating data that are less than or equal to the reference operating data into a second operating data set; Calculating the deviation value between each strongly correlated operating data in the first operating data set and the reference operating data, and generating a first deviation value sequence according to all the deviation values; Fitting the first deviation value sequence to obtain a first fitting curve, and acquiring a slope k1 of the first fitting curve; Determine the calculation factor e based on the slope k1 k1 , calculate the first sequence mean of the first deviation value sequence, and calculate the calculation factor e k1 The product value of the first sequence mean is used as the first deviation coefficient; Calculating the deviation value between each strongly correlated operating data in the second operating data set and the reference operating data, and generating a second deviation value sequence according to all the deviation values; Fitting the second deviation value sequence to obtain a second fitting curve, and acquiring a slope k2 of the second fitting curve; Determine the calculation factor e based on the slope k2 k2 , calculate the second sequence mean of the second deviation value sequence, and calculate the calculation factor e k2 The product value of the mean of the second sequence is used as the second deviation coefficient; A second strongly correlated frequency conversion control coefficient of the heat exchange station circulation pump is determined according to the first deviation coefficient and the second deviation coefficient.
6. The adaptive frequency conversion control method for circulating pumps in a heat exchange station of a heating system according to claim 5, characterized in that: When all the strongly correlated operating data are extracted and analyzed, and the strongly correlated frequency conversion control coefficient of the heat exchange station circulating pump is calculated based on the analysis result, it includes: configuring a first calculation weight for the first strongly associated variable frequency control coefficient, and configuring a second calculation weight for the second strongly associated variable frequency control coefficient; The strongly correlated variable frequency control coefficient of the heat exchange station circulating pump is calculated according to the following formula: Among them, s is the strongly correlated variable frequency control coefficient, f1 is the first strongly correlated variable frequency control coefficient, f2 is the second strongly correlated variable frequency control coefficient, d1 is the first calculation weight, and d2 is the second calculation weight.
7. The adaptive frequency conversion control method for circulating pumps in a heat exchange station of a heating system according to claim 1, characterized in that: When collecting the historical variable frequency control records of the circulating pump of the heat exchange station, traversing the weakly correlated operation data in the historical variable frequency control records, and calculating the weakly correlated variable frequency control coefficient of the circulating pump of the heat exchange station based on the traversal results, it includes: Analyze the historical frequency conversion control records to determine historical abnormal frequency conversion control records; Traversing the weakly correlated operating data in the historical abnormal frequency conversion control records, generating an abnormal mark for the corresponding historical abnormal frequency conversion control records, and determining the number of occurrences of the weakly correlated operating data; Determine the historical abnormal values corresponding to all historical abnormal frequency conversion control records carrying abnormal marks, and determine the maximum historical abnormal value; The weakly correlated variable frequency control coefficient of the heat exchange station circulation pump is calculated according to the number of occurrences and the maximum historical abnormal value.
8. The method for adaptive frequency conversion control of a circulating pump in a heat exchange station of a heating system according to claim 7, characterized in that: When calculating the weakly correlated variable frequency control coefficient of the heat exchange station circulation pump according to the number of occurrences and the maximum historical abnormal value, it includes: The weakly correlated variable frequency control coefficient of the heat exchange station circulation pump is calculated according to the following formula: Among them, g is the weak correlation variable frequency control coefficient of the heat exchange station circulation pump, n1 is the number of occurrences of weak correlation operation data, n2 is the number of historical abnormal variable frequency control records, t j is the jth historical outlier, t max is the largest historical outlier.
9. The adaptive frequency conversion control method for circulating pumps in a heat exchange station of a heating system according to claim 1, characterized in that: When the variable frequency control strategy of the heat exchange station circulation pump is set according to the comprehensive variable frequency control coefficient, it includes: Presetting a first preset comprehensive frequency conversion control coefficient and a second preset comprehensive frequency conversion control coefficient; Presetting a first preset variable frequency control strategy, a second preset variable frequency control strategy, and a third preset variable frequency control strategy; When the comprehensive variable frequency control coefficient is less than the first preset comprehensive variable frequency control coefficient, the first preset variable frequency control strategy is used as the variable frequency control strategy of the circulating pump of the heat exchange station; When the comprehensive variable frequency control coefficient is greater than or equal to the first preset comprehensive variable frequency control coefficient and less than the second preset comprehensive variable frequency control coefficient, the second preset variable frequency control strategy is used as the variable frequency control strategy of the circulating pump of the heat exchange station; When the comprehensive variable frequency control coefficient is greater than or equal to the second preset comprehensive variable frequency control coefficient, the third preset variable frequency control strategy is used as the variable frequency control strategy for the circulating pump of the heat exchange station.
10. An adaptive frequency conversion control system for a circulating pump in a heat exchange station of a heating system, characterized in that: include: The first module is used to obtain the real-time operation data of the circulating pump of the heat exchange station, analyze the real-time operation data, and divide the real-time operation data into strongly correlated operation data and weakly correlated operation data; The second module is used to extract all the strongly correlated operating data, analyze the strongly correlated operating data, and calculate the strongly correlated variable frequency control coefficient of the heat exchange station circulating pump based on the analysis results; The third module is used to collect the historical frequency conversion control records of the circulating pump of the heat exchange station, and traverse the weakly correlated operation data in the historical frequency conversion control records, and calculate the weakly correlated frequency conversion control coefficient of the circulating pump of the heat exchange station based on the traversal results; The fourth module is used to calculate the comprehensive variable frequency control coefficient of the heat exchange station circulating pump based on the strongly correlated variable frequency control coefficient and the weakly correlated variable frequency control coefficient, and set the variable frequency control strategy of the heat exchange station circulating pump according to the comprehensive variable frequency control coefficient.