An energy saving heating management system

Abstract

The present application relates to energy-saving heating management technical field, disclose a kind of energy-saving heating management system, comprising: to gas wall-hanging stove is collected characteristic parameter according to fixed time interval, including: water supply temperature sequence, return water temperature sequence, condensation layer temperature sequence, gas flow and system flow;To water supply temperature sequence and return water temperature sequence are carried out first identification processing, obtain convection gradient path, convection gradient path includes convection slope and convection lateral position;To condensation layer temperature sequence is carried out second identification processing, obtain the center height of condensation layer;Convection lateral position is compared with the preset convection lateral position, determine lateral drift error;The center height of condensation layer is compared with the preset center height of condensation layer, determine vertical drift error;Whether lateral drift error and vertical drift error are out of limit is judged;If lateral drift error is out of limit, then axial correction is carried out in combination with convection slope;If vertical drift error is out of limit, then adjust system flow and carry out vertical correction.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy-saving heating management, more particularly, it relates to an energy-saving heating management system. BACKGROUND

[0002] As the main heat source of residential and commercial buildings, gas wall-hung boilers rely on burning natural gas to heat the water flow in the heat exchanger, and then transfer heat to the end heat dissipation device through the water supply circuit. To improve energy efficiency, modern gas wall-hung boilers generally use condensing heat exchange technology, which uses exhaust gas condensation latent heat to further heat the return water.

[0003] Under the design working condition, the supply water temperature gradually decreases along the axial direction of the heat exchanger, and the return water temperature gradually increases along the axial direction, which presents a mirror image relationship in space, and the condensation layer (the condensation layer is the area where the local temperature in the heat exchanger is in the condensation zone) is kept at a relatively constant height in the vertical dimension. The design condition ensures that the sensible heat and latent heat generated by combustion can be efficiently transferred to the water side. However, during long-term operation, the gas wall-hung boiler has the following problems;

[0004] 1. When the load changes or the circulation flow fluctuates, the slope and constant relationship of the supply and return water temperature gradient will fluctuate. The original stable linear relationship between the supply water decrease and the return water increase is destroyed, resulting in the offset of the convection gradient path in the axial direction of the heat exchanger, so that the condensation latent heat release area is misaligned, and the heat exchange efficiency is reduced.

[0005] 2. The height of the condensation layer inside the heat exchanger is affected by the temperature difference between the inlet and return water, the flow rate, and the exhaust gas temperature. Under different operating conditions, the center height of the condensation layer will drift upward or downward, and may deviate from the efficient condensation area of the heat exchanger, resulting in a loss of thermal efficiency. SUMMARY

[0006] The present application provides an energy-saving heating management system to solve the technical problems raised in the background art.

[0007] The present application provides an energy-saving heating management system, comprising:

[0008] The data acquisition module is configured to collect characteristic parameters of the gas wall-hung boiler at fixed time intervals; the characteristic parameters include: a supply water temperature sequence, a return water temperature sequence, a condensation layer temperature sequence, a gas flow, and a system flow;

[0009] The data processing module is configured to perform first identification processing on the supply water temperature sequence and the return water temperature sequence to obtain a convection gradient path, the convection gradient path including a convection slope and a convection lateral position; and perform second identification processing on the condensation layer temperature sequence to obtain a center height of the condensation layer.

[0010] an error measurement module configured to compare the cross-flow lateral position with a preset cross-flow lateral position to determine a lateral drift error, and compare the center height of the condensation layer with a preset center height of the condensation layer to determine a vertical drift error;

[0011] a step-by-step processing module configured to determine whether the lateral drift error and the vertical drift error are out of limits, correct the axis direction if the lateral drift error is out of limits, and adjust the system flow to correct the vertical direction if the vertical drift error is out of limits.

[0012] Further, the characteristic parameters are collected, including:

[0013] X sets of water supply temperature probes and X sets of return water temperature probes are arranged at fixed intervals along the heat exchanger of the gas wall-hanging stove to collect X water supply temperatures and X return water temperatures, forming a water supply temperature sequence and a return water temperature sequence;

[0014] Z sets of temperature probes are arranged along the vertical center line of the heat exchanger of the gas wall-hanging stove to collect temperature sequences at Z heights, forming a condensation layer temperature sequence;

[0015] The gas flow and the system flow are collected by a system flow meter of the gas wall-hanging stove.

[0016] Further, the water supply temperature sequence and the return water temperature sequence are subjected to first identification processing to obtain a convection gradient path, including:

[0017] Step 301, the heat exchanger of the gas wall-hanging stove is divided into X spatial segments, and the xth spatial segment covers the xth set of water supply temperature probes and the xth set of return water temperature probes;

[0018] Step 302, within a monitoring time period of Y time points, an X×Y water supply matrix and a return water matrix are respectively constructed; wherein the element of the xth row and the yth column in the water supply matrix represents the water supply temperature of the xth spatial segment at the yth time point, and the element of the xth row and the yth column in the return water matrix represents the return water temperature of the xth spatial segment at the yth time point; 1≤x≤X, x is a positive integer, 1≤y≤Y, y is a positive integer;

[0019] Step 303, the water supply matrix and the return water matrix are superimposed to form a superimposed matrix;

[0020] Step 304, the difference between each element in the superimposed matrix and a preset constant sum constant is calculated to form a constant sum error matrix;

[0021] Step 305, the constant sum error matrix is subjected to binaryzation processing through a preset constant sum error threshold to obtain a Boolean matrix;

[0022] Step 306, the Boolean matrix is subjected to connected domain analysis, and each connected domain in the Boolean matrix is taken as a candidate trajectory;

[0023] Step 307, mapping the mth candidate trajectory to the water supply matrix and the backwater matrix respectively, extracting the water supply trajectory and the backwater trajectory corresponding to the mth candidate trajectory, and calculating the water supply trajectory equation and the backwater trajectory equation of the water supply trajectory and the backwater trajectory respectively;

[0024] Step 308, if there is at least one straight line between the water supply trajectory equation and the backwater trajectory equation to satisfy that the water supply trajectory equation and the backwater trajectory equation are mirror images of each other, marking the mth candidate trajectory;

[0025] Step 309, extracting the marked candidate trajectory, determining the slope stability of each marked candidate trajectory respectively to generate a quality index of each marked candidate trajectory; and taking the marked candidate trajectory with the highest quality index as the convection gradient path;

[0026] Step 310, determining the convection slope and the convection transverse position of the convection gradient path; wherein the convection transverse position of the convection gradient path is determined based on the slope and the intercept of the water supply trajectory equation and the backwater trajectory equation corresponding to the convection gradient path.

[0027] Further, a second identification process is performed on the condensation layer temperature sequence to obtain the center height of the condensation layer, including:

[0028] Step 401, determining the temperature of the zth height sequence at Y time points in the monitoring period;

[0029] Step 402, sorting the temperature of the zth height sequence from small to large to form a feature sequence, and cutting a preset number of mode temperatures at both ends of the feature sequence to form a low temperature set and a high temperature set, and fitting the low temperature set and the high temperature set to obtain a low temperature curve and a high temperature curve; 1≤z≤Z, z is a positive integer;

[0030] Step 403, determining a comprehensive temperature difference index based on the low temperature curve and the high temperature curve of the zth height;

[0031] Step 404, if the comprehensive temperature difference index of the zth height is greater than a preset temperature difference threshold, marking the zth height as a candidate condensation layer;

[0032] Step 405, performing connected component analysis on the marked heights in the Z heights, taking each connected component in the Z heights as a candidate condensation layer, and recording the start height and the end height of each candidate condensation layer, and the temperature range in the monitoring period;

[0033] Step 406, determining the condensation temperature range of the gas wall-hanging stove; if the condensation temperature range of the gas wall-hanging stove is within the temperature range of the candidate condensation layer in the monitoring period, marking the candidate condensation layer as valid;

[0034] Step 407: Take each valid candidate condensation layer as a condensation layer, determine the starting height and ending height of each condensation layer, and calculate the center height of the condensation layer based on the length weighting method.

[0035] Furthermore, the specific process for obtaining the lateral drift error and vertical drift error is as follows:

[0036] Step 501: Within the confidence time period, repeat steps 301 to 310 to obtain the reference position of the lateral position of convection; repeat steps 401 to 408 to obtain the reference height of the center height of the condensation layer.

[0037] Step 502: Subtract the lateral position of the convection corresponding to the monitoring time period from the reference position of the lateral position of the convection during the confidence time period to obtain the lateral drift error; subtract the center height of the condensation layer corresponding to the monitoring time period from the reference height of the center height of the condensation layer to obtain the vertical drift error.

[0038] Furthermore, if the lateral drift error exceeds the limit, axial correction is performed in conjunction with the convection slope, including:

[0039] The slope increment of the water supply trajectory equation is calculated based on the lateral drift error, as follows:

[0040] ;

[0041] in, This represents the slope increment of the water supply trajectory equation. Indicates the horizontal scaling factor. Indicates lateral drift error;

[0042] Based on the slope increment of the water supply trajectory equation, the slope of the water supply trajectory equation is updated as follows:

[0043] ;

[0044] in, This represents the update slope of the water supply trajectory equation. The slope of the water supply trajectory equation;

[0045] Based on the updated slope of the water supply trajectory equation, the water supply temperature is adjusted as follows:

[0046] ;

[0047] in, This indicates an update to the water supply temperature. This indicates the water supply temperature during the monitoring period. Represents the constant and the sum of its components. This represents the total length of the heat exchanger divided into X spatial segments.

[0048] Further, if the vertical drift error exceeds the limit, the system flow is adjusted for vertical correction, including:

[0049] The flow gain coefficient is calculated according to the vertical drift error, as follows:

[0050]

[0051] wherein, represents the flow gain coefficient, represents the vertical proportional coefficient, represents the vertical drift error;

[0052] Based on the flow gain coefficient, the system flow is adjusted, as follows:

[0053]

[0054] wherein, represents the updated system flow, represents the system flow in the monitoring period.

[0055] The present application has the beneficial effect that by accurately identifying the convection gradient path and the center height of the condensation layer, the independent measurement and step-by-step correction of the lateral drift error and the vertical drift error can be determined, which can monitor the spatial stability of the condensation heat exchange area in real time during the operation of the gas wall-hanging stove, thereby correcting to improve the heat exchange efficiency, avoiding energy efficiency fluctuations and heat loss caused by the drift of the supply and return water temperature difference or the offset of the condensation layer, and thus realizing efficient, low-energy consumption, automatic closed-loop energy-saving heating control under dynamic load working conditions. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 is a module diagram of an energy-saving heating management system of the present application. DETAILED DESCRIPTION

[0057] The subject matter described herein will now be discussed with reference to example implementations. It should be understood that discussions of these implementations are merely provided to enable those skilled in the art to better understand so as to be able to implement the subject matter described herein, and variations of elements discussed can be made by one skilled in the art, without departing from the scope of the present specification. Various processes or components can be omitted, substituted, or added according to desired implementations. Additionally, features described in relation to some examples can also be combined in other examples.

[0058] As shown in Figure 1 , an energy-saving heating management system includes:

[0059] ​​The data acquisition module is used for collecting characteristic parameters of the gas wall-hanging stove at fixed time intervals; the characteristic parameters include: a water supply temperature sequence, a return water temperature sequence, a condensation layer temperature sequence, a gas flow and a system flow;

[0060] The data processing module is used for performing first identification processing on the water supply temperature sequence and the return water temperature sequence to obtain a convection gradient path, the convection gradient path including a convection slope and a convection transverse position; and performing second identification processing on the condensation layer temperature sequence to obtain a center height of the condensation layer;

[0061] The error measurement module is used for comparing the convection transverse position with a preset convection transverse position to determine a transverse drift error; and comparing the center height of the condensation layer with a preset center height of the condensation layer to determine a vertical drift error;

[0062] The step-by-step processing module is used for judging whether the transverse drift error and the vertical drift error are out of limits; if the transverse drift error is out of limits, axial correction is performed in combination with the convection slope; and if the vertical drift error is out of limits, vertical correction is performed by adjusting the system flow.

[0063] In an embodiment of the present application, the characteristic parameters are collected, including:

[0064] X sets of water supply temperature probes and X sets of return water temperature probes are arranged at fixed distance intervals along the heat exchanger axis of the gas wall-hanging stove, X water supply temperatures and X return water temperatures are collected to form the water supply temperature sequence and the return water temperature sequence;

[0065] Z sets of temperature probes are arranged along the vertical center line of the heat exchanger of the gas wall-hanging stove, temperature sequences at Z heights are collected to form the condensation layer temperature sequence;

[0066] The gas flow and the system flow are collected by the system flow meter of the gas wall-hanging stove.

[0067] In detail, the collection of the supply water temperature sequence and the return water temperature sequence is realized by relying on temperature probes arranged along the axial direction of the gas wall-hanging stove heat exchanger. The axial direction refers to the length direction of the fluid flow in the heat exchanger, and X groups of supply water temperature probes and X groups of return water temperature probes are arranged at fixed distance intervals along the axial direction. The fixed distance interval ensures that the probes can uniformly cover different positions in the axial direction of the heat exchanger and accurately capture the gradient change of the temperature along the flow direction. X is a positive integer, representing the number of probe groups, and each group of probes corresponds to a specific spatial position in the axial direction of the heat exchanger. The supply water temperature probes directly measure the hot water temperature at the corresponding position, and the return water temperature probes directly measure the cold water temperature at the corresponding position. Through continuous collection, the measurement values of each group of supply water temperature probes form a continuous supply water temperature sequence, and the measurement values of each group of return water temperature probes form a continuous return water temperature sequence. The X supply water temperature sequences collectively reflect the temperature variation law of the hot water along the axial direction of the heat exchanger, and the X return water temperature sequences collectively reflect the temperature variation law of the cold water along the axial direction of the heat exchanger.

[0068] In detail, the collection of the condensation layer temperature sequence is realized by relying on temperature probes arranged along the vertical center line of the gas wall-hanging stove heat exchanger. The vertical direction refers to the height direction of the heat exchanger, and the vertical center line is the central axis in the height direction of the heat exchanger. Z groups of temperature probes are arranged along the vertical center line. Z is a positive integer, representing the number of probe groups, and each group of probes corresponds to a specific height in the vertical direction of the heat exchanger. The probes directly measure the temperature at the corresponding height, and through continuous collection, the measurement values of each group of probes form a continuous temperature sequence. The temperature sequences of the Z heights collectively reflect the temperature distribution at different heights in the heat exchanger.

[0069] In detail, the collection of the gas flow and the system flow is realized by relying on the system flow meter provided by the gas wall-hanging stove. The system flow meter monitors the flow of gas entering the combustion system and the flow of circulating water in the heat exchanger, respectively. The collected gas flow data and system flow data are used for subsequent correction and adjustment to ensure that the correction measures can accurately match the actual load demand.

[0070] In an embodiment of the present application, the supply water temperature sequence and the return water temperature sequence are subjected to first identification processing to obtain a convection gradient path, comprising:

[0071] Step 301, dividing the heat exchanger of the gas wall-hanging stove into X spatial segments, and the xth spatial segment covers the xth group of supply water temperature probes and the xth group of return water temperature probes;

[0072] In detail, the heat exchanger of the gas wall-hanging stove is divided into X spatial segments along the axial direction, and the number of divisions is consistent with the number X of groups of supply water temperature probes and return water temperature probes. The xth spatial segment completely covers the xth group of supply water temperature probes and the xth group of return water temperature probes in the physical range, ensuring that each spatial segment can correspond to a measurement position of a group of supply and return water temperature.

[0073] Step 302, respectively constructing a supply water matrix and a return water matrix with a size of X*Y at Y time instants in a monitoring time period; wherein an element in the xth row and the yth column of the supply water matrix represents a supply water temperature of the xth space section at the yth time instant, and an element in the xth row and the yth column of the return water matrix represents a return water temperature of the xth space section at the yth time instant; 1≤x≤X, x is a positive integer, 1≤y≤Y, y is a positive integer;

[0074] Step 303, superimposing the supply water matrix and the return water matrix to form a superimposed matrix;

[0075] In detail, the supply water matrix and the return water matrix are superimposed according to corresponding element positions, that is, the element values in the same row and the same column are added to form the superimposed matrix. Each element of the superimposed matrix reflects the sum of the supply water temperature and the return water temperature of the corresponding space section and time instant.

[0076] Step 304, calculating the difference between each element of the superimposed matrix and a preset constant sum to form a constant sum error matrix;

[0077] In detail, the preset constant sum is the theoretical value of the sum of the supply water temperature and the return water temperature under the design condition. The difference between each element of the superimposed matrix and the constant sum is calculated to form the constant sum error matrix. The smaller the element value of the error matrix, the closer the supply water temperature and the return water temperature of the space section and the time instant to the ideal constant sum state.

[0078] Step 305, performing binaryzation processing on the constant sum error matrix through a preset constant sum error threshold to obtain a Boolean matrix;

[0079] In detail, the effective area is screened through binaryzation processing. The preset constant sum error threshold is set, which is a critical value for determining whether the supply water temperature and the return water temperature meet the ideal state. Based on the threshold, the constant sum error matrix is binaryzation processed: when the element value is less than or equal to the threshold, it is determined that the constant sum relationship is met, and the value is assigned as 1; when the element value is greater than the threshold, it is determined that the constant sum relationship is deviated, and the value is assigned as 0, thereby obtaining the Boolean matrix.

[0080] Step 306, performing connected domain analysis on the Boolean matrix, and taking each connected domain in the Boolean matrix as a candidate trajectory;

[0081] In detail, the connected domain analysis is performed on the Boolean matrix. The connected domain refers to a continuous region composed of elements with a value of 1, that is, an effective region that is adjacent in space and continuous in time. Each connected domain is regarded as a candidate trajectory.

[0082] Step 307, respectively mapping the mth candidate trajectory to the supply water matrix and the return water matrix, extracting the supply water trajectory and the return water trajectory corresponding to the mth candidate trajectory, and calculating the supply water trajectory equation and the return water trajectory equation of the supply water trajectory and the return water trajectory, respectively;

[0083] In detail, the mth candidate trajectory is mapped back to the supply matrix and the return matrix, the element values corresponding to the trajectory in the two matrices are extracted, and the supply trajectory and the return trajectory corresponding to the candidate trajectory are formed. Linear fitting (by linear least squares) is performed on the two trajectories to obtain the supply trajectory equation and the return trajectory equation, which are in the form of a linear function and contain slope and intercept parameters.

[0084] In step 308, if there is at least one straight line between the supply trajectory equation and the return trajectory equation to satisfy the mirror image relationship of the supply trajectory equation and the return trajectory equation, the mth candidate trajectory is marked.

[0085] In detail, the supply trajectory equation and the return trajectory equation are symmetrical about a straight line. Specifically, the absolute values of the slopes of the two equations are equal and the signs are opposite, and the intercepts satisfy a specific complementary relationship. If the two trajectory equations corresponding to the mth candidate trajectory satisfy this mirror image relationship, the candidate trajectory is marked as a potential effective trajectory.

[0086] In step 309, the marked candidate trajectories are extracted, the slope stability of each marked candidate trajectory is determined respectively to generate a quality index of each marked candidate trajectory, and the marked candidate trajectory with the highest quality index is taken as the convection gradient path.

[0087] In detail, the slope stability of each marked candidate trajectory is evaluated respectively. The slope stability refers to the fluctuation degree of the slope of the trajectory equation in the time and space dimensions, and the smaller the fluctuation is, the higher the stability is. The slope stability is taken as the quality index of each marked trajectory, and the trajectory with the highest quality index is selected as the convection gradient path.

[0088] The slope stability is obtained as follows: the difference between each element in the candidate trajectory and a constant is calculated to form a constant difference set; and the variance of the constant difference set is calculated and taken as the slope stability.

[0089] In step 310, the convection slope of the convection gradient path and the convection transverse position are determined; wherein the convection transverse position of the convection gradient path is determined based on the slope and intercept of the supply trajectory equation and the return trajectory equation corresponding to the convection gradient path.

[0090] In detail, the convection slope is the slope of the supply trajectory equation or the return trajectory equation corresponding to the convection gradient path (the two are in a mirror image relationship and the absolute values of the slopes are equal), which reflects the change rate of the supply and return water temperature along the axial direction. The convection transverse position is the intersection position of the supply trajectory equation and the return trajectory equation.

[0091] In an embodiment of the present application, a second identification process is performed on the condensation layer temperature sequence to obtain the center height of the condensation layer, comprising:

[0092] Step 401, determine the temperature of the zth height sequence at Y time points in the monitoring period;

[0093] Step 402, sort the temperature of the zth height sequence from small to large to form a feature sequence, and cut a preset number of mode temperatures at both ends of the feature sequence to form a low temperature set and a high temperature set, and fit the low temperature set and the high temperature set to obtain a low temperature curve and a high temperature curve, respectively; 1≤z≤Z, z is a positive integer;

[0094] It should be noted that the fitting of the low temperature set and the high temperature set is through a nonlinear least squares method.

[0095] Step 403, determine the comprehensive temperature difference index based on the low temperature curve and the high temperature curve of the zth height;

[0096] In detail, the process of obtaining the comprehensive temperature difference index is as follows:

[0097] Step 4031, determine the highest temperature of the high temperature curve of the zth height ;

[0098] Step 4032, then connect the Z highest temperatures , , form a closed mathematical plane, and determine the centroid of the mathematical plane ;

[0099] Step 4033, calculate the Euclidean distance between the highest temperature of the high temperature curve of the zth height and , to obtain a first temperature difference component;

[0100] Step 4034, similarly, determine the lowest temperature of the low temperature curve of the zth height , and then repeat steps 4031 to 4033 for the lowest temperature to obtain a second temperature difference component;

[0101] Step 4034, weight and fuse the first temperature difference component and the second temperature difference component to obtain the comprehensive temperature difference index; wherein the weight of the first temperature difference component and the weight of the second temperature difference component are not 0, and the sum is 1.

[0102] In detail, the comprehensive temperature difference index comprehensively reflects the temperature stratification significance of the height, and the higher the index, the more likely the height is in the condensation layer region of the cold and hot boundary.

[0103] Step 404, if the comprehensive temperature difference index of the zth height is greater than a preset temperature difference threshold, mark the zth height as a candidate condensation layer;

[0104] In detail, the preset temperature difference threshold is a critical value for determining whether the height belongs to the condensation layer. If the comprehensive temperature difference index of the zth height is greater than the preset temperature difference threshold, the height is marked as a candidate condensation layer.

[0105] In step 405, connected domain analysis is performed on the marked heights in the Z heights, each connected domain in the Z heights is taken as a candidate condensation layer, and the starting height and the ending height of each candidate condensation layer and the temperature range of the candidate condensation layer in the monitoring time period are recorded.

[0106] In detail, connected domain analysis is performed on all the heights in the Z heights that are marked as candidate condensation layers, and the spatially continuous candidate heights are merged into a candidate condensation layer region.

[0107] In step 406, the condensation temperature range of the gas wall-hanging stove is determined, and if the condensation temperature range of the gas wall-hanging stove is within the temperature range of the candidate condensation layer in the monitoring time period, the candidate condensation layer is marked as valid.

[0108] In detail, the condensation temperature range of the gas wall-hanging stove is determined, and if the condensation temperature range of the gas wall-hanging stove is within the temperature range of the candidate condensation layer in the monitoring time period, the candidate condensation layer is marked as valid.

[0109] In step 407, each valid candidate condensation layer is taken as a condensation layer, the starting height and the ending height of each condensation layer are determined, and the center height of the condensation layer is calculated based on the length weighting method.

[0110] In detail, each valid candidate condensation layer is taken as an actual condensation layer, and the starting height and the ending height thereof are determined. The geometric center of the condensation layer is calculated based on the length weighting method, that is, the center height of the condensation layer is obtained according to the influence of the lengths of different segments of the condensation layer on the center position.

[0111] In an embodiment of the present application, the acquisition process of the lateral drift error and the vertical drift error is as follows:

[0112] In step 501, steps 301 to 310 are repeatedly performed within a confidence time period to obtain a reference position of the convection lateral position, and steps 401 to 408 are repeatedly performed to obtain a reference height of the center height of the condensation layer.

[0113] In step 502, the convection lateral position corresponding to the monitoring time period is subtracted from the reference position of the convection lateral position in the confidence time period to obtain a lateral drift error, and the center height of the condensation layer corresponding to the monitoring time period is subtracted from the reference height of the center height of the condensation layer to obtain a vertical drift error.

[0114] In detail, a confidence time period is set, the confidence time period is a duration that the system is in a stable running state, during which the working condition parameters such as the load and flow of the gas wall-hanging stove fluctuate less, and can reflect the typical characteristics in the high-efficiency heat exchange. In the confidence time period, the steps 301 to 301 of the first identification processing are repeatedly executed multiple times, through the analysis on the supply water temperature sequence and the return water temperature sequence, multiple cross-flow transverse position values are obtained, and the statistical average value thereof is taken as the reference position of the cross-flow transverse position, and the reference position corresponds to the axial position with the best supply-return water coupling effect. Meanwhile, the steps 401 to 408 of the second identification processing are repeatedly executed, the condensation layer temperature sequence is analyzed, multiple center height values of the condensation layer are obtained, and the statistical average value thereof is taken as the reference height of the center height of the condensation layer, and the reference height corresponds to the vertical position with the highest condensation latent heat recovery efficiency.

[0115] In the dynamic running process of the system, a monitoring time period is selected, the cross-flow transverse position corresponding to the time period is obtained through the first identification processing, the reference position of the cross-flow transverse position determined in the step 501 is subtracted, and the result is the transverse drift error, which reflects the degree of deviation of the real-time cross-flow transverse position from the ideal position. Meanwhile, the center height of the condensation layer corresponding to the monitoring time period is obtained through the second identification processing, the reference height of the center height of the condensation layer determined in the step 501 is subtracted, and the result is the vertical drift error, which reflects the degree of deviation of the real-time center height of the condensation layer from the ideal height.

[0116] In an embodiment of the present application, if the transverse drift error is out of limit, the axial correction is performed in combination with the cross-flow slope, including:

[0117] The slope increment of the supply water trajectory equation is calculated according to the transverse drift error, as follows:

[0118] ;

[0119] Wherein, represents the slope increment of the supply water trajectory equation, represents the transverse proportionality coefficient, represents the transverse drift error;

[0120] The greater the transverse drift error is, the greater the slope increment to be adjusted is, so as to quickly offset the transverse drift.

[0121] Based on the slope increment of the supply water trajectory equation, the slope of the supply water trajectory equation is updated, as follows:

[0122] ;

[0123] Wherein, represents the updated slope of the supply water trajectory equation, a slope of a supply water trajectory equation;

[0124] By modifying the temperature gradient (slope), the rate of the supply water temperature drop along the axial direction is changed.

[0125] Based on the updated slope of the supply water trajectory equation, the supply water temperature is adjusted as follows:

[0126]

[0127] wherein, represents the updated supply water temperature, represents the supply water temperature in the monitoring time period, represents a constant, represents the total length of the heat exchanger divided into X spatial segments.

[0128] In detail, when the transverse drift error exceeds the limit (i.e., the deviation of the convection transverse position in the monitoring time period from the reference position exceeds the allowable range), it indicates that the spatial position of the supply and return water coupling deviates from the high-efficiency heat exchange interval, and the supply and return water temperature gradient needs to be adjusted by axial correction to pull the convection transverse position back to the reference.

[0129] The supply water trajectory and the return water trajectory of the supply water and the return water satisfy

[0130] When the slope of the supply water trajectory is , the supply water trajectory equation is , and b is the intercept; in combination with the constant relation, the return water trajectory equation is

[0131] To maintain the mirror image relationship between the return water trajectory equation and the supply water trajectory equation, the temperature at the axial key point is taken as the reference, and the following is obtained: to adjust the supply water temperature and satisfy the mirror image relationship between the adjusted return water trajectory equation and the supply water trajectory equation.

[0132] In an embodiment of the present application, if the vertical drift error exceeds the limit, the system flow is adjusted for vertical correction, including:

[0133] According to the vertical drift error, a flow gain coefficient is calculated as follows:

[0134]

[0135] wherein, represents the flow gain coefficient, represents a vertical proportion coefficient, represents the vertical drift error;

[0136] ​​​​The flow magnitude that needs to be adjusted is quantified by the linear correlation between the vertical drift error and the flow gain coefficient. The greater the drift error, the further the flow gain coefficient deviates from 1, and the greater the flow change that needs to be adjusted to quickly offset the height deviation.

[0137] Based on the flow gain coefficient, the system flow is adjusted as follows:

[0138] ;

[0139] wherein, represents the updated system flow, represents the system flow in the monitoring time period.

[0140] The flow gain coefficient is superimposed on the system flow in the monitoring time period to generate the updated system flow, change the vertical flow field, and further adjust the condensation layer position. The system flow change directly affects the vertical flow rate, and the vertical flow rate change affects the stability of the vertical temperature stratification: when the flow rate increases, the high-temperature fluid mixing is enhanced, and the condensation layer moves upward; when the flow rate decreases, the low-temperature fluid deposition is enhanced, and the condensation layer moves downward.

[0141] The above describes the embodiments of the present embodiment, but the present embodiment is not limited to the specific embodiments described above, and the specific embodiments described above are only illustrative and not restrictive. Those skilled in the art can make many forms under the inspiration of the present embodiment, which are all within the protection scope of the present embodiment.

Claims

1. An energy-saving heating management system, characterized in that, include: The data acquisition module is used to collect characteristic parameters of the gas-fired wall-hung boiler at fixed time intervals; Characteristic parameters include: supply water temperature sequence, return water temperature sequence, condensate temperature sequence, gas flow rate, and system flow rate; The data processing module is used to perform a first identification process on the supply water temperature sequence and the return water temperature sequence to obtain the convection gradient path, which includes the convection slope and the lateral position of the convection; and to perform a second identification process on the condensate temperature sequence to obtain the center height of the condensate layer. The first identification process includes: Step 301: Divide the heat exchanger of the gas wall-hung boiler into X spatial segments, with the xth spatial segment covering the xth group of supply water temperature probes and the xth group of return water temperature probes. Step 302: During the Y time periods of the monitoring time period, construct a water supply matrix and a return water matrix of size X×Y respectively; wherein, the element in the x-th row and y-th column of the water supply matrix represents the water supply temperature of the x-th spatial segment at the y-th time, and the element in the x-th row and y-th column of the return water matrix represents the return water temperature of the x-th spatial segment at the y-th time; 1≤x≤X, where x is a positive integer, 1≤y≤Y, where y is a positive integer; Step 303: Superimpose the water supply matrix and the water return matrix to form a superimposed matrix; Step 304: Calculate the difference between each element in the superposition matrix and the preset constant summation to form the constant summation error matrix; Step 305: Binarize the constant sum error matrix using a preset constant sum error threshold to obtain a Boolean matrix; Step 306: Perform connected component analysis on the Boolean matrix and use each connected component in the Boolean matrix as a candidate trajectory; Step 307: Map the m-th candidate trajectory to the water supply matrix and the return water matrix respectively, extract the water supply trajectory and return water trajectory corresponding to the m-th candidate trajectory, and calculate the water supply trajectory equation and return water trajectory equation respectively. Step 308: If there is at least one straight line between the water supply trajectory equation and the return water trajectory equation, such that the water supply trajectory equation and the return water trajectory equation are mirror images of each other, then mark the m-th candidate trajectory. Step 309: Extract candidate trajectories for each marker, determine the slope stability of each candidate trajectory to generate a quality index for each candidate trajectory; and select the candidate trajectory with the highest quality index as the convective gradient path. Step 310: Determine the convective slope and lateral position of the convective gradient path; wherein, the lateral position of the convective gradient path is determined based on the slope and intercept of the water supply trajectory equation and the return trajectory equation corresponding to the convective gradient path. The second identification process includes: Step 401: Determine the temperature of the z-th altitude time sequence within the Y time points of the monitoring period; Step 402: Sort the temperatures of the z-th altitude time series from smallest to largest to form a feature sort. Extract the mode temperatures of a preset number from both ends of the feature sort to form a low temperature set and a high temperature set. Fit the low temperature set and the high temperature set to obtain the low temperature curve and the high temperature curve respectively; 1≤z≤Z, where z is a positive integer. Step 403: Determine the comprehensive temperature difference index based on the low temperature curve and high temperature curve at the z-th altitude; Step 404: If the comprehensive temperature difference index at the z-th height is greater than the preset temperature difference threshold, then mark the z-th height as a candidate condensation layer. Step 405: Perform connected component analysis on the marked heights among the Z heights, take each connected component among the Z heights as a candidate condensation layer, and record the starting height and ending height of each candidate condensation layer, as well as the temperature range during the monitoring period. Step 406: Measure the condensing temperature range of the gas wall-hung boiler; if the condensing temperature range of the gas wall-hung boiler is within the temperature range of the candidate condensing layer during the monitoring period, then mark the candidate condensing layer as valid. Step 407: Take each valid candidate condensation layer as a condensation layer, determine the starting height and ending height of each condensation layer, and calculate the center height of the condensation layer based on the length weighting method; The error measurement module is used to compare the lateral position of convection with the preset lateral position of convection to determine the lateral drift error; and to compare the center height of the condensation layer with the preset center height of the condensation layer to determine the vertical drift error. The step-by-step processing module is used to determine whether the lateral drift error and vertical drift error exceed the limits; if the lateral drift error exceeds the limit, axial correction is performed in conjunction with the convection slope; if the vertical drift error exceeds the limit, the system flow rate is adjusted for vertical correction.

2. The energy-saving heating management system according to claim 1, characterized in that, Collect feature parameters, including: By using X sets of supply water temperature probes and X sets of return water temperature probes arranged at fixed intervals along the axial direction of the heat exchanger of the gas wall-hung boiler, X supply water temperatures and X return water temperatures are collected, forming a supply water temperature sequence and a return water temperature sequence. By using Z groups of temperature probes arranged along the vertical centerline of the heat exchanger of the gas-fired wall-hung boiler, temperature sequences at Z heights are collected to form the condensation layer temperature sequence. The gas flow rate and system flow rate are collected separately using the system flow meter of the gas-fired wall-hung boiler.

3. The energy-saving heating management system according to claim 2, characterized in that, The specific process for obtaining lateral drift error and vertical drift error is as follows: Step 501: Within the confidence time period, repeat steps 301 to 310 to obtain the reference position of the lateral position of convection; repeat steps 401 to 408 to obtain the reference height of the center height of the condensation layer. Step 502: Subtract the lateral position of the convection corresponding to the monitoring time period from the reference position of the lateral position of the convection during the confidence time period to obtain the lateral drift error; subtract the center height of the condensation layer corresponding to the monitoring time period from the reference height of the center height of the condensation layer to obtain the vertical drift error.

4. The energy-saving heating management system according to claim 3, characterized in that, If the lateral drift error exceeds the limit, axial correction is performed in conjunction with the convection slope, including: The slope increment of the water supply trajectory equation is calculated based on the lateral drift error, as follows: ； in, This represents the slope increment of the water supply trajectory equation. Indicates the horizontal scaling factor. Indicates lateral drift error; Based on the slope increment of the water supply trajectory equation, the slope of the water supply trajectory equation is updated as follows: ； in, This represents the update slope of the water supply trajectory equation. The slope of the water supply trajectory equation; Based on the updated slope of the water supply trajectory equation, the water supply temperature is adjusted as follows: ； in, This indicates an update to the water supply temperature. This indicates the water supply temperature during the monitoring period. Represents the constant and the sum of its components. This represents the total length of the heat exchanger divided into X spatial segments.

5. The energy-saving heating management system according to claim 4, characterized in that, If the vertical drift error exceeds the limit, adjust the system flow rate for vertical correction, including: The flow gain coefficient is calculated based on the vertical drift error, as follows: ； in, Represents the flow gain coefficient. Indicates the vertical scaling factor. Indicates vertical drift error; Based on the flow gain coefficient, adjust the system flow as follows: ； in, This indicates an update to system traffic. This indicates the system traffic during the monitoring period.

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