Power control method and system for gas heating equipment

Abstract

The invention relates to the technical field of gas heating water heaters, and provides a power control method and system for gas heating equipment, and the method comprises the steps: collecting different types of temperature data of a water heater, and obtaining an outdoor temperature sequence, an indoor temperature sequence and a water heater circulating water temperature sequence; according to the indoor temperature sequence, the water heater circulating water temperature abnormity confidence coefficient of the water heater is determined; obtaining the perfect corresponding change degree of the temperature data of the water heater; marking the last moment, when the indoor temperature at the last moment is in the temperature control state sub-sequence, determining the current change temperature according to the difference of the outdoor temperature, the difference of the circulating water temperature of the water heater and the perfect corresponding change degree, and when the indoor temperature at the last moment is in the temperature rise state sub-sequence, assigning the current change temperature, and the optimized power of the heating water heater is obtained according to the value of the change temperature. The problems that the heating power of the water heater is affected by environmental condition changes, and resources are wasted are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of wall-mounted gas-fired heating water boilers, and in particular to a power control method and system for gas-fired heating equipment. Background Art

[0002] With the continued growth of global energy consumption and increasing awareness of environmental protection, building energy efficiency, particularly the energy efficiency of heating systems, has become a key focus in the field of building energy conservation. Gas heating equipment, such as gas wall-mounted boilers and gas boilers, has been widely used in homes, commercial buildings, and industrial buildings due to its relative cleanliness, high efficiency, and stable heating performance.

[0003] Traditional gas heating equipment typically uses a relatively simple power control method. For example, many devices only provide "on / off" status, or use simple two-stage or three-stage power adjustment (such as 25%, 50%, and 100% power). This control method has obvious limitations. When the outdoor temperature is high or the indoor load is light, the equipment may still operate at rated power, causing the indoor temperature to rise rapidly and exceed the set value, and then stop heating, forming frequent start-stop cycles. This "up and down" operating mode not only leads to large fluctuations in indoor temperature and poor comfort, but also requires additional energy to overcome static friction and establish a stable combustion state each time the equipment is started. At the same time, when operating at high power, incomplete combustion or excessively high flue gas exhaust temperatures may also cause energy waste and increased pollutant emissions.

[0004] Existing technologies, such as the data-analysis-based intelligent control method and system for wall-mounted water heaters in CN118361861A, focus on "determining the confidence level of abnormal circulating water temperature" and "managing the operation of the wall-mounted water heater based on this confidence level." This approach focuses primarily on identifying abnormal circulating water temperature conditions and implementing management based on these conditions. This management approach leans more towards anomaly detection and feedback adjustment rather than global optimization. It fails to clearly address how to precisely adjust the water heater's power output based on the anomaly confidence level to achieve an optimal balance between energy consumption and comfort, nor does it consider optimal control strategies under different operating conditions. Simply basing management on "anomalies" can lead to lagging and crude control strategies, and in some cases, even cause unnecessary power fluctuations. For example, when the circulating water temperature is abnormal, this method fails to clearly indicate whether to increase or decrease the power, or take other measures, resulting in insufficiently refined control.

[0005] Therefore, a more stable, energy-efficient and comfortable heating control is needed to overcome the limitations of extensive control, delayed response and inability to achieve true system optimization that may be encountered in practical applications. Summary of the Invention

[0006] The present invention provides a power control method and system for gas heating equipment, and the technical solutions adopted are as follows:

[0007] In a first aspect, an embodiment of the present invention provides a power control method for a gas heating device, the method comprising the following steps:

[0008] During the operation of the water heater, different types of temperature data of the water heater are collected and preprocessed to obtain the outdoor temperature series, indoor temperature series and water heater circulating water temperature series;

[0009] During the operation of the water heater, all collected temperature data is analyzed to determine the optimal power of the water heater, specifically:

[0010] (1) Divide the indoor temperature sequence into indoor temperature subsequences, calculate the discrete degree of each indoor temperature subsequence, determine the temperature control state subsequence and the heating state subsequence based on the indoor temperature contained in the indoor temperature subsequence, obtain the water heater circulating water temperature subsequence and the outdoor temperature subsequence corresponding to the heating state subsequence, obtain the outdoor temperature consistent cluster based on the outdoor temperature value contained in the outdoor temperature subsequence, and determine the confidence level of the water heater circulating water temperature anomaly;

[0011] (2) According to the discrete degree of the temperature control state subsequence, the perfect indoor temperature subsequence, the perfect outdoor temperature subsequence, and the perfect water heater circulating water temperature subsequence are determined. According to the similarity between the perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence, as well as the time lag between the outdoor temperature and the water heater circulating water temperature, the average lag, average temperature drop, and average comparative temperature difference of the temperature data are obtained. Combined with the overall correlation trend of the temperature data, the perfect corresponding change degree of the temperature data is obtained.

[0012] (3) The latest collection time is recorded as the final time. When the indoor temperature at the final time is in the temperature control state subsequence, the current change temperature is determined based on the difference in outdoor temperature, the difference in the water heater circulating water temperature, and the degree of perfect corresponding change. When the indoor temperature at the final time is in the heating state subsequence, the current change temperature is assigned a value, and the optimized power of the heating water heater is obtained based on the value of the current change temperature.

[0013] Furthermore, the method of obtaining the consistent outdoor temperature cluster according to the outdoor temperature values ​​contained in the outdoor temperature subsequence and determining the abnormal confidence level of the water heater circulating water temperature includes the following specific methods:

[0014] Arrange the water heater circulating water temperatures and outdoor temperatures with the same collection time as the indoor temperatures contained in the heating state subsequence in sequence, obtain the water heater circulating water temperature subsequence and outdoor temperature subsequence corresponding to the heating state subsequence, record the mean of all outdoor temperatures contained in the outdoor temperature subsequence as the average outdoor temperature, cluster the outdoor temperature subsequences based on the average outdoor temperature, and obtain consistent outdoor temperature clusters;

[0015] Determining temperature fluctuations of uniformly clustered external temperature clusters based on differences in lengths of the outdoor temperature subsequences and differences in the water heater circulating water temperatures contained in the water heater circulating water temperature subsequences, wherein the temperature fluctuations of the uniformly clustered external temperature clusters are positively correlated with differences in lengths of the outdoor temperature subsequences and differences in the water heater circulating water temperatures contained in the water heater circulating water temperature subsequences, respectively;

[0016] The absolute value of the difference between the temperature data of the heating state subsequence and the corresponding water heater circulating water temperature subsequence at the same sampling time is recorded as the internal and external temperature difference at the sampling time. The average of the internal and external temperature differences at all sampling times is recorded as the temperature difference increase rate of the water heater circulating water temperature subsequence. The degree of dispersion of the temperature difference increase rate of the water heater circulating water temperature subsequences corresponding to all average external temperatures contained in the same external temperature consistent cluster is recorded as the third abnormality degree of the external temperature consistent cluster.

[0017] Starting from the first indoor temperature included in the heating state subsequence, compare the value of each indoor temperature with the adjacent next indoor temperature until the two compared indoor temperatures are unequal. The data collection time of the next indoor temperature among the two unequal indoor temperatures is recorded as the room temperature rising time. The dispersion degree of the room temperature rising time of the heating state subsequence corresponding to all average external temperatures included in the same external temperature consistent cluster is recorded as the fourth abnormality degree of the external temperature consistent cluster.

[0018] Obtaining a room temperature and water temperature deviation of the external temperature consistent cluster according to the third and fourth abnormalities of the external temperature consistent cluster, wherein the room temperature and water temperature deviation of the external temperature consistent cluster is positively correlated with the third and fourth abnormalities of the external temperature consistent cluster, respectively;

[0019] According to the temperature fluctuation and the room temperature water temperature deviation, the water heater circulation water temperature anomaly confidence is obtained, and the water heater circulation water temperature anomaly confidence is positively correlated with the temperature fluctuation and the room temperature water temperature deviation respectively.

[0020] Furthermore, the average lag, average temperature drop, and average contrast temperature difference of the temperature data are obtained based on the similarity between the perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence, as well as the time lag between the outdoor temperature and the water heater circulating water temperature. The specific method includes:

[0021] The absolute value of the similarity between the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the first similarity, and the average of all first similarities is recorded as the overall correlation trend of the temperature data;

[0022] Starting from the first outdoor temperature included in the perfect outdoor temperature subsequence, the value of each outdoor temperature is compared with the adjacent next outdoor temperature until the two compared outdoor temperatures are not equal, and the data collection time of the next outdoor temperature of the two unequal outdoor temperatures is recorded as the first change time; starting from the first water heater circulating water temperature included in the perfect water heater circulating water temperature subsequence, the value of each water heater circulating water temperature is compared with the adjacent next water heater circulating water temperature until the two compared water heater circulating water temperatures are not equal, and the data collection time of the next water heater circulating water temperature of the two unequal water heater circulating water temperatures is recorded as the second change time; the time interval between the first change time and the second change time of the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the lag time of the corresponding two sequences, and the absolute value of the difference between the temperature data corresponding to the first change time and the second change time of the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the temperature drop degree of the corresponding two sequences;

[0023] The ratio of the range of the temperature data contained in the corresponding perfect water heater circulating water temperature subsequence and the perfect outdoor temperature subsequence is recorded as the temperature difference between the two sequences;

[0024] The average values ​​of all lag moments, temperature drop degrees and temperature differences corresponding to the two sequences are recorded as the average lag, average temperature drop and average contrast temperature difference of the temperature data, respectively.

[0025] Furthermore, the above method of combining the overall correlation trend of the temperature data to obtain the perfect corresponding change degree of the temperature data includes the following specific methods:

[0026] According to the average contrast temperature difference and the overall correlation trend of the temperature data, a perfect corresponding change degree of the temperature data is obtained, and the perfect corresponding change degree of the temperature data is positively correlated with the average contrast temperature difference and the overall correlation trend of the temperature data, respectively.

[0027] Furthermore, the temperature change is determined based on the difference in outdoor temperature, the difference in the water temperature of the hot water boiler circulation water, and the degree of perfect corresponding change, including the specific method of:

[0028] Assign values ​​to the temperature drop factor, hysteresis factor and outdoor temperature change factor;

[0029] Determine the degree of change required for circulating water based on the difference in outdoor temperature, the difference in circulating water temperature of the hot water boiler and the degree of perfect response change;

[0030] The temperature change is determined based on the degree of circulating water change, temperature drop factor, hysteresis factor, outdoor temperature change factor and confidence level of water heater circulating water temperature anomaly.

[0031] Furthermore, the temperature drop factor, the hysteresis factor and the outdoor temperature change factor are assigned values, including the following specific methods:

[0032] When the absolute value of the difference between the outdoor temperature at the first change moment and the final moment is less than the average temperature drop, the temperature drop factor is assigned a value of 0; in all other cases, the temperature drop factor is assigned a value of 1;

[0033] When the time interval between the first change moment and the final moment is less than the average lag, the lag factor is assigned a value of 0, and in all other cases, the lag factor is assigned a value of 1;

[0034] All outdoor temperatures contained in the perfect outdoor temperature subsequence at the last moment are analyzed. When the difference between the outdoor temperature and the next outdoor temperature is greater than 0, the temperature difference characteristic value of the outdoor temperature is assigned to 1. When the difference between the outdoor temperature and the next outdoor temperature is less than or equal to 0, the temperature difference characteristic value of the outdoor temperature is assigned to -1. The sum of the temperature difference characteristic values ​​of all outdoor temperatures contained in the perfect outdoor temperature subsequence at the last moment is recorded as the first sum value. When the first sum value is greater than 0, the outdoor temperature change factor is assigned to 1. When the first sum value is less than or equal to 0, the outdoor temperature change factor is assigned to -1.

[0035] Furthermore, the circulating water needs to change, and the specific method for obtaining it is:

[0036] The absolute value of the difference between the outdoor temperature at the first change moment and the final moment is recorded as the changed temperature difference, and the ratio of the changed temperature difference to the perfect corresponding change degree of the temperature data is recorded as the hot water ratio. The collection moments corresponding to all indoor temperatures contained in the temperature control state subsequence where the indoor temperature at the final moment is located are obtained, and the range of the hot water boiler circulating water temperature corresponding to these collection moments is recorded as the circulating water range. The absolute value of the difference between the circulating water range and the hot water ratio is recorded as the degree of circulating water change required.

[0037] Furthermore, the specific method for obtaining the temperature change is as follows:

[0038] The product of the circulating water demand change degree, the temperature drop factor, the hysteresis factor, the outdoor temperature change factor and the confidence level of the water heater circulating water temperature anomaly is recorded as the current change temperature.

[0039] Furthermore, the optimized control of the heating water boiler power according to the value of the temperature change is realized, including the specific method of:

[0040] When the temperature value of this change is 0, the water heater power corresponding to the last moment does not need to be adjusted;

[0041] When the value of this changing temperature is not 0, the sum of the circulating water temperature of the hot water boiler at the last moment and the current changing temperature is used as the set point, the circulating water temperature of the hot water boiler at the last moment is used as the process variable, and the current changing temperature is used as the error. The set point, process variable and error are input into the PID control algorithm, and the control signal is output through the PID control algorithm; the central control system of the wall-mounted gas heating hot water boiler is used to map and convert the control signal, obtain the adjustment instruction of the heating power, use the adjustment instruction of the heating power to adjust the working state of the heating element, and obtain the optimized power of the heating hot water boiler.

[0042] In a second aspect, an embodiment of the present invention further provides a power control system for gas heating equipment, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0043] The beneficial effects of the present invention are:

[0044] 1. A dynamic correlation model is established between outdoor temperature, indoor temperature, and circulating water temperature to more accurately predict and assess required power output. Starting from a "perfect" state and considering the deviation from the current state, the "current temperature change" is calculated, ultimately determining the "optimal power" to achieve optimal energy efficiency and comfort over the long term.

[0045] 2. This invention considers the time lag between outdoor temperature and the water heater's circulating water temperature and, based on this, derives the average lag, average temperature drop, and average comparative temperature difference of the temperature data. In other words, this application quantifies the dynamic response characteristics of the heating system. By incorporating these parameters, future temperature trends can be more accurately predicted, enabling predictive control and avoiding control deviations caused by time lag. This allows for smoother and more precise water heater power adjustment, thereby improving comfort and reducing energy consumption.

[0046] 3. A clear distinction is made between the cases where the indoor temperature at the final moment is in the temperature control state subsequence and the case where the indoor temperature at the final moment is in the heating state subsequence. In each case, the "current temperature change" is determined and assigned a value based on different parameters, ultimately deriving the "optimal power of the heating water boiler." This categorized discussion and multi-parameter decision-making mechanism make the control strategy of this application more refined and intelligent, better adapting to the needs of the water boiler at different operating stages and achieving more optimized power output. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] Figure 1 A schematic flow chart of a power control method for gas heating equipment provided by one embodiment of the present invention;

[0049] Figure 2 This is a flow chart for obtaining the temperature change provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0051] See also Figure 1 , which shows a flow chart of a power control method for gas heating equipment provided by one embodiment of the present invention, the method comprising the following steps:

[0052] Step S001 : collecting different types of temperature data and preprocessing them to obtain an outdoor temperature sequence, an indoor temperature sequence, and a water heater circulating water temperature sequence.

[0053] Gas heating equipment, such as gas wall-mounted boilers, gas boilers, etc. This embodiment analyzes a wall-mounted gas heating water boiler as a heating water boiler. It should be understood that the preset temperature mentioned in this application is the target temperature for indoor heating input by the user of the wall-mounted gas heating water boiler.

[0054] The temperature data is collected using the temperature sensor of the wall-mounted gas heating water boiler. The temperature data includes the outdoor temperature, the indoor temperature and the water temperature circulating in the water boiler radiator.

[0055] The N continuously collected outdoor temperatures, indoor temperatures and water heater circulating water temperatures in the water heater radiator are arranged in sequence to obtain an outdoor temperature sequence, an indoor temperature sequence and a water heater circulating water temperature sequence.

[0056] The collection time and collection interval of the outdoor temperature, indoor temperature and the circulating water temperature of the hot water boiler in the heat sink are the same. In this embodiment, the collection interval is 0.5 minutes and the value of N is 100. The implementer can also decide the collection interval and the value of N according to actual conditions. This application does not impose any special restrictions.

[0057] It should be noted that, to facilitate computation, all indicator data involved in the computations in the embodiments of the present invention undergo data preprocessing to eliminate dimensionality effects. Specific means for eliminating dimensionality effects are well known to those skilled in the art and are not limited here. This embodiment uses the maximum normalization algorithm as the dimensionality elimination algorithm.

[0058] At this point, the outdoor temperature sequence, indoor temperature sequence and water heater circulating water temperature sequence are obtained.

[0059] Step S002: Divide the indoor temperature sequence into indoor temperature subsequences, calculate the discreteness of each indoor temperature subsequence, and determine the temperature control state subsequence and the temperature rising state subsequence based on the indoor temperatures contained in the indoor temperature subsequences.

[0060] A wall-mounted gas-fired water heater heats the circulating water in its fins by burning gas. This heat then shifts the indoor temperature, bringing it close to the preset setting and providing heating. Within the boiling point of the circulating water, the higher the heating power of the wall-mounted gas-fired water heater, the more gas it burns, and the higher the circulating water temperature. Once the circulating water reaches a certain temperature, the heater adjusts the heating power to maintain a stable temperature, ensuring continuous heating. Therefore, a wall-mounted gas-fired water heater operates in two modes: continuous heating and temperature stabilization.

[0061] In order to more accurately obtain the optimized power of the wall-mounted gas heating water boiler, first, the working states corresponding to the indoor temperatures contained in the indoor temperature sequence are divided.

[0062] The indoor temperature sequence is used as the input of the PELT algorithm to obtain the mutation points of the indoor temperature sequence. The indoor temperature sequence is divided into multiple indoor temperature subsequences according to the mutation points.

[0063] Calculate the degree of dispersion for each indoor temperature subsequence. This embodiment uses the standard deviation of the indoor temperatures within the indoor temperature subsequence as the degree of dispersion for the indoor temperature subsequence. Cluster the degree of dispersion for all indoor temperature subsequences using the K-means algorithm, setting the number of clusters to 2 to obtain two clusters.

[0064] Among them, the use of PELT algorithm to obtain mutation points and the use of K-means algorithm for clustering are well-known technologies and will not be repeated here. The implementer can also divide and cluster the indoor temperatures contained in the indoor temperature sequence according to actual needs to obtain two cluster clusters. This application does not impose any special restrictions. The calculation method of the standard deviation is a well-known technology and will not be repeated here. The implementer can also select other data dispersion evaluation methods such as variance, mean square error, coefficient of variation, etc. according to specific needs. This application does not impose any special restrictions.

[0065] When the wall-mounted gas heating water boiler is in a continuous heating state, the dispersion of the indoor temperature is significantly greater than the dispersion of the indoor temperature in a temperature stable state, and the indoor temperature in a temperature stable state is relatively stable.

[0066] The heating effect of a wall-mounted gas-fired water heater on indoor temperature is significantly greater than that of the external temperature. When the wall-mounted gas-fired water heater is in a continuous heating state, the time required to heat different indoor temperatures to the same preset temperature is relatively consistent. For example, when the preset temperature is 20 degrees Celsius, the time it takes for the indoor temperature to rise from 1 degree Celsius to the preset temperature is recorded as Time 1, and the time it takes for the indoor temperature to rise from 0 degrees Celsius to the preset temperature is recorded as Time 2. The difference between Time 1 and Time 2 is small. However, users' demand for the wall-mounted gas-fired water heater varies at different times, resulting in different durations of use. Consequently, the duration of indoor temperature stability varies significantly. Therefore, the length of indoor temperature subsequences in the continuous heating state is relatively small compared to those in the stable temperature state.

[0067] The ascending sequence confidence of the clusters is determined based on the difference between the lengths of the indoor temperature subsequences and the degree of dispersion contained in the clusters. The ascending sequence confidence of the clusters is negatively correlated with the degree of difference between the lengths of the indoor temperature subsequences corresponding to the degree of dispersion contained in the clusters, and is positively correlated with the degree of dispersion contained in the clusters.

[0068] It can be understood that the positive correlation and negative correlation in this application refer to the relationship between the independent variable and the dependent variable. The positive correlation is that the independent variable increases (decreases) as the dependent variable increases (decreases), which can be an additive relationship, a multiplicative relationship, etc.; the negative correlation is that the independent variable decreases (increases) as the dependent variable increases (decreases), which can be an inverse relationship, a subtractive relationship, etc.

[0069] Preferably, as an embodiment of the present application, the confidence level of the ascending sequence of the cluster is the ratio of the mean of the discrete degrees within the cluster to the standard deviation of the lengths of the indoor temperature subsequences corresponding to the discrete degrees within the cluster. During the ratio calculation process, to avoid the denominator being zero, a preset value is added to the denominator. In an embodiment, the preset value is 0.001.

[0070] When the degree of discreteness contained in the cluster is greater and the difference between the lengths of the indoor temperature subsequences corresponding to the discrete degrees contained in the cluster is smaller, the confidence of the ascending sequence of the cluster is greater. At this time, the possibility that the indoor temperature subsequence corresponding to the discrete degrees contained in the cluster corresponds to the indoor temperature subsequence in a temperature stable state is greater.

[0071] The indoor temperature subsequence corresponding to the degree of dispersion contained in the cluster with the lowest confidence in the ascending sequence is recorded as the temperature control state subsequence. This temperature control state subsequence corresponds to the indoor temperature subsequence in a stable temperature state. The indoor temperature subsequence corresponding to the degree of dispersion contained in the cluster with the highest confidence in the ascending sequence is recorded as the heating state subsequence. This heating state subsequence corresponds to the indoor temperature subsequence in a continuously rising temperature state.

[0072] At this point, the temperature control state subsequence and the temperature rising state subsequence are determined.

[0073] Step S003: Obtain the water heater circulating water temperature subsequence and the outdoor temperature subsequence corresponding to the heating state subsequence, obtain the outdoor temperature consistent cluster according to the outdoor temperature values ​​contained in the outdoor temperature subsequence, and determine the confidence level of the water heater circulating water temperature anomaly.

[0074] To optimize the power of a wall-mounted gas-fired hot water boiler, it's necessary to ensure the boiler's circulating water temperature and heat dissipation are functioning normally. If these conditions occur, the boiler will be unable to maintain a constant indoor temperature. Therefore, it's important to evaluate the proper functioning of the circulating water and heat dissipation functions.

[0075] Arrange the water heater circulating water temperatures and outdoor temperatures that were collected at the same time as the indoor temperatures in the heating state subsequence to obtain the water heater circulating water temperature subsequence and outdoor temperature subsequence corresponding to the heating state subsequence. The average of all outdoor temperatures in the outdoor temperature subsequence is recorded as the average outdoor temperature. The average outdoor temperature is the average outdoor temperature when the indoor temperature is in the heating state.

[0076] Based on the average outside temperature, the outdoor temperature subsequences are clustered. Specifically, all average outside temperatures are clustered using the K-means clustering algorithm to obtain consistent outside temperature clusters. The number of consistent outside temperature clusters is determined using the elbow rule. The use of the K-means clustering algorithm for clustering and the use of the elbow rule to determine the number of clusters are both well-known techniques and will not be described in detail. Implementers may also select other clustering algorithms based on actual needs, and this application does not impose any restrictions.

[0077] When the average outside temperatures are close, the initial temperatures of the circulating water in the heat sink are less different, and the time it takes for the circulating water temperature to increase to the preset temperature is more consistent. Therefore, the length of the outdoor temperature subsequence corresponding to each average outside temperature within the same consistent outside temperature cluster is less different.

[0078] Each ectotherm-consistent cluster was analyzed separately.

[0079] According to the difference in length of the outdoor temperature subsequences, a first abnormality degree of the outdoor temperature consistent cluster is obtained. The first abnormality degree of the outdoor temperature consistent cluster is positively correlated with the difference in length of the outdoor temperature subsequences.

[0080] Preferably, as an embodiment of the present application, the degree of dispersion of the lengths of outdoor temperature subsequences corresponding to all average outdoor temperatures contained in the same uniform outdoor temperature cluster is recorded as the first abnormality degree of the uniform outdoor temperature cluster.

[0081] This embodiment uses the standard deviation as the degree of dispersion of the length of the outdoor temperature subsequence. The method for calculating the standard deviation is a well-known technology and will not be repeated here. The implementer can also choose other data dispersion evaluation methods such as variance, mean square error, coefficient of variation, etc. according to specific needs. This application does not impose any special restrictions.

[0082] When the first abnormality is smaller, the time period corresponding to the outdoor temperature subsequence corresponding to all average outdoor temperatures in the consistent outdoor temperature cluster is more consistent, the heating power of the wall-mounted gas heating water boiler is more stable, and the temperature rise of the circulating water is more normal.

[0083] A second abnormality degree of the external temperature consistent cluster is determined based on the difference in the water heater circulating water temperature contained in the water heater circulating water temperature subsequence. The second abnormality degree of the external temperature consistent cluster is positively correlated with the difference in the water heater circulating water temperature contained in the water heater circulating water temperature subsequence.

[0084] Preferably, as an embodiment of the present application, for each water heater circulating water temperature included in a water heater circulating water temperature subsequence, the absolute value of the difference between the water heater circulating water temperature and the previous water heater circulating water temperature is recorded as the circulating temperature difference of the water heater circulating water temperature, and the average of the circulating temperature differences of all water heater circulating water temperatures included in the same water heater circulating water temperature subsequence is recorded as the temperature rise rate of the water heater circulating water temperature subsequence. The degree of dispersion of the temperature rise rates of the water heater circulating water temperature subsequences corresponding to all average external temperatures included in the same external temperature consistent cluster is recorded as the second abnormality degree of the external temperature consistent cluster.

[0085] When the second abnormality is smaller, the temperature rise rate of the water heater circulating water temperature subsequences corresponding to all average external temperatures contained in the same external temperature consistent cluster is more consistent, the heating power of the wall-mounted gas heating water heater is more stable, and at this time, the circulating water temperature rise is more normal.

[0086] According to the first abnormality and the second abnormality of the external temperature consistent cluster, the temperature fluctuation of the external temperature consistent cluster is obtained. The temperature fluctuation of the external temperature consistent cluster is positively correlated with the first abnormality and the second abnormality of the external temperature consistent cluster.

[0087] Preferably, as an embodiment of the present application, the product of the first abnormality degree and the second abnormality degree of the external temperature consistent cluster is recorded as the temperature increase fluctuation of the external temperature consistent cluster.

[0088] When the first and second abnormality degrees of the external temperature consistent cluster are smaller, the temperature fluctuation is smaller. At this time, the temperature rise of the circulating water is more normal, and the heating power of the wall-mounted gas heating water boiler is more stable.

[0089] At this point, the temperature fluctuation is obtained, and the possibility of the heating power of the wall-mounted gas heating water boiler being normal is judged.

[0090] Further analysis was conducted based on the correlation between the water heater's circulating water temperature and the indoor temperature. Under normal circumstances, when the water heater's circulating water temperature changes and the heat sink's heat dissipation function is normal, and when the outdoor temperature difference is small, the indoor temperature changes are relatively consistent.

[0091] A third abnormality degree of the external temperature consistent cluster is obtained based on the difference between the temperature data corresponding to the heating state subsequence and the corresponding water heater circulating water temperature subsequence. The third abnormality degree of the external temperature consistent cluster is positively correlated with the difference between the temperature data corresponding to the heating state subsequence and the corresponding water heater circulating water temperature subsequence.

[0092] Preferably, as one embodiment of the present application, the absolute value of the difference between the temperature data collected at the same time in the heating state subsequence and the corresponding water heater circulating water temperature subsequence is recorded as the internal and external temperature difference at the time of collection. The average of the internal and external temperature differences at all collection times is recorded as the temperature difference increase rate of the water heater circulating water temperature subsequence. The degree of dispersion of the temperature difference increase rates of the water heater circulating water temperature subsequences corresponding to all average external temperatures within the same external temperature consistent cluster is recorded as the third abnormality degree of the external temperature consistent cluster.

[0093] When the third abnormality degree is smaller, the temperature rise rate of the water heater circulating water temperature subsequences corresponding to all average external temperatures contained in the same external temperature consistent cluster is more consistent, the heating power of the wall-mounted gas heating water heater is more stable, and the heat dissipation function is more normal, and the possibility of problems is smaller.

[0094] The fourth abnormality degree of the consistent cluster of the external temperature is determined according to the indoor temperature difference contained in the temperature rising state subsequence.

[0095] There is a correlation between the outdoor temperature and the water temperature circulating in the water heater, but this correlation has a certain lag. That is, when the water temperature of the water heater circulating in the water heater rises or falls, the indoor temperature is affected, but not synchronously. There is a certain time lag. Determine the time when the room temperature rises for each subsequence of the temperature rise state.

[0096] Starting with the first indoor temperature in the heating state subsequence, each indoor temperature is compared with the next adjacent indoor temperature. If the two values ​​are equal, the comparison continues with each subsequent two adjacent indoor temperatures until the two compared indoor temperatures are unequal. The data collection time of the next indoor temperature that becomes unequal is recorded as the room temperature rising time. The indoor temperature begins to rise after the room temperature rising time, which is when the water heater's circulating water temperature begins to rise.

[0097] The degree of dispersion of the room temperature rising moments of the temperature rising state subsequences corresponding to all the average external temperatures contained in the same external temperature consistent cluster is recorded as the fourth abnormality degree of the external temperature consistent cluster.

[0098] The room temperature and water temperature deviation of the external temperature consistent cluster is obtained according to the third and fourth abnormalities of the external temperature consistent cluster. The room temperature and water temperature deviation of the external temperature consistent cluster is positively correlated with the third and fourth abnormalities of the external temperature consistent cluster.

[0099] Preferably, as an embodiment of the present application, the product of the third abnormality and the fourth abnormality of the external temperature consistent cluster is recorded as the room temperature water temperature deviation of the external temperature consistent cluster.

[0100] When the deviation between the room temperature and the water temperature is smaller, the more consistent the time it takes for the indoor temperature to rise after the circulating water temperature of the wall-mounted gas heating water heater rises. In this case, the heat dissipation function of the wall-mounted gas heating water heater is more stable. This completes the judgment on the possibility that the heat dissipation function of the wall-mounted gas heating water heater is normal.

[0101] According to the temperature fluctuation and the room temperature and water temperature deviation, an abnormality index of the external temperature consistent cluster is obtained. The abnormality index of the external temperature consistent cluster is positively correlated with the temperature fluctuation and the room temperature and water temperature deviation.

[0102] Preferably, as an embodiment of the present application, the anomaly index of the external temperature consistent cluster is a normalized value of the sum of the temperature fluctuation and the room temperature and water temperature deviation.

[0103] This embodiment uses the z-score method for normalization. As other implementation methods, based on the purpose of numerical normalization, the implementer can use other methods in the existing technology to obtain normalized values, and this application does not impose any special restrictions.

[0104] The rounded value of the anomaly index of the consistent cluster of external temperature is recorded as the confidence level of the water heater circulating water temperature anomaly.

[0105] When the confidence level of the abnormal water temperature in the water boiler circulation is 0, it indicates that the heat dissipation function of the heat sink of the wall-mounted gas heating water boiler circulating water temperature change is normal, and the power analysis of the wall-mounted gas heating water boiler can continue; when the confidence level of the abnormal water temperature in the water boiler circulation is 1, it indicates that the heat dissipation function of the heat sink of the wall-mounted gas heating water boiler circulating water temperature change is abnormal, and the operation of the wall-mounted gas heating water boiler needs to be stopped and an alarm needs to be issued to avoid damage to the wall-mounted gas heating water boiler and the occurrence of safety accidents.

[0106] At this point, the confidence level of the water heater circulating water temperature anomaly is obtained.

[0107] Step S004: Based on the discrete values ​​of the temperature control state subsequences, a perfect indoor temperature subsequence, a perfect outdoor temperature subsequence, and a perfect water heater circulating water temperature subsequence are determined. Based on the similarity between the perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence, as well as the time lag between the outdoor temperature and the water heater circulating water temperature, the average lag, average temperature drop, and average comparative temperature difference of the temperature data are obtained. Combined with the overall correlation trend of the temperature data, the perfect corresponding change degree of the temperature data is obtained.

[0108] When the discrete degree of the temperature control state subsequence is 0, it means that the temperature data contained in the temperature control state subsequence reflects that the temperature control effect of the wall-mounted gas heating water boiler is very good, and the temperature control state subsequence is recorded as a perfect indoor temperature subsequence. When the discrete degree of the temperature control state subsequence is not 0, it means that the temperature data contained in the temperature control state subsequence reflects that the temperature control effect of the wall-mounted gas heating water boiler is poor, and no further analysis is performed.

[0109] The outdoor temperatures and water heater circulating water temperatures at the same time as the indoor temperature included in the perfect indoor temperature subsequence are arranged in sequence according to the order of collection to obtain a perfect outdoor temperature subsequence and a perfect water heater circulating water temperature subsequence.

[0110] Wall-mounted gas heating water boilers use the heat emitted by circulating water to change the indoor temperature. The indoor temperature is also affected by the outdoor temperature. Therefore, there is a correlation between the indoor temperature, outdoor temperature and the circulating water temperature of the water boiler.

[0111] The absolute value of the similarity between the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the first similarity, and the average of all first similarities is recorded as the overall correlation trend of the temperature data.

[0112] Among them, this embodiment uses the Pearson correlation coefficient as the similarity. As other implementation methods, on the basis of achieving the purpose of measuring the similarity of two sequences, the implementer can adopt other existing methods such as the Spearman correlation coefficient to obtain the similarity of two sequences. This application does not impose any special restrictions.

[0113] There is a correlation between outdoor temperature and the water temperature circulating in the water heater, but this correlation has a certain lag. That is, when the outdoor temperature rises or falls, the water temperature circulating in the water heater is affected, but the rise or fall is not synchronous, with a certain time lag. Therefore, it is necessary to determine the time between the outdoor temperature and the water temperature circulating in the water heater.

[0114] Starting with the first outdoor temperature in the perfect outdoor temperature subsequence, compare each outdoor temperature with the next adjacent outdoor temperature. If the two values ​​are equal, continue comparing each two adjacent outdoor temperatures until the two compared outdoor temperatures are unequal. The data collection time of the next outdoor temperature that becomes unequal is recorded as the first change time. Starting with the first water heater circulating water temperature in the perfect water heater circulating water temperature subsequence, compare each water heater circulating water temperature with the next adjacent water heater circulating water temperature. If the two values ​​are equal, continue comparing each two adjacent water heater circulating water temperatures until the two compared water heater circulating water temperatures are unequal. The data collection time of the next water heater circulating water temperature that becomes unequal is recorded as the second change time. The time interval between the first and second change moments of the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the lag time of the two sequences. The absolute value of the difference between the temperature data corresponding to the first and second change moments of the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the temperature drop degree of the two sequences.

[0115] The ratio of the range of the temperature data contained in the perfect water heater circulating water temperature subsequence to the perfect outdoor temperature subsequence is recorded as the temperature difference between the two sequences. During the ratio calculation, to avoid the denominator being zero, a preset value is added to the denominator. In this embodiment, the preset value is 0.001.

[0116] The average values ​​of all lag moments, temperature drop degrees and temperature differences corresponding to the two sequences are recorded as the average lag, average temperature drop and average contrast temperature difference of the temperature data, respectively.

[0117] Furthermore, it is assumed that when the outdoor temperature changes and the degree of change reaches the average temperature drop, the circulating water temperature of the hot water boiler in the heat sink begins to change. The degree of change of the circulating water temperature of the hot water boiler is the average comparative temperature difference, and the time interval between the change time of the circulating water temperature of the hot water boiler and the change time of the outdoor temperature is the average lag time.

[0118] A perfect correspondence variation degree of the temperature data is obtained according to the average contrast temperature difference and the overall correlation trend of the temperature data, wherein the perfect correspondence variation degree of the temperature data is positively correlated with the average contrast temperature difference and the overall correlation trend of the temperature data, respectively.

[0119] Preferably, as an embodiment of the present application, the perfect corresponding variation degree of the temperature data is the product of the average contrast temperature difference and the overall correlation trend of the temperature data.

[0120] The degree of perfect response change is used to reflect the buffering capacity of the hot water boiler circulating water temperature to the outdoor temperature. When the average comparative temperature difference and the overall correlation trend of the temperature data are greater, the degree of perfect response change is greater, that is, when the outdoor temperature changes, the degree of change of the hot water boiler circulating water temperature is greater.

[0121] At this point, a perfect corresponding degree of change in temperature data is obtained.

[0122] Step S005: Record the latest collection time as the final time. When the indoor temperature at the final time is in the temperature control state subsequence, determine the current change temperature based on the difference in outdoor temperature, the difference in the water heater circulating water temperature, and the degree of perfect response change. When the indoor temperature at the final time is in the heating state subsequence, assign a value to the current change temperature, and obtain the optimized power of the heating water heater based on the value of the current change temperature.

[0123] The latest collection time is recorded as the final time, and the temperature data at the final time is analyzed to optimize the heating water boiler power at the final time.

[0124] When the indoor temperature at the last moment is in the temperature control state subsequence, the temperature drop factor, hysteresis factor and outdoor temperature change factor are assigned.

[0125] The specific method for assigning values ​​to the temperature drop factor, hysteresis factor, and outdoor temperature change factor is as follows:

[0126] When the absolute value of the difference between the outdoor temperature at the first change moment and the final moment is less than the average temperature drop, the temperature drop factor is assigned a value of 0; in all other cases, the temperature drop factor is assigned a value of 1.

[0127] When the time interval between the first change moment and the last change moment is less than the average hysteresis, the hysteresis factor is assigned a value of 0, and in all other cases, the hysteresis factor is assigned a value of 1.

[0128] All outdoor temperatures contained in the perfect outdoor temperature subsequence at the last moment are analyzed. When the difference between the outdoor temperature and the next outdoor temperature is greater than 0, the temperature difference characteristic value of the outdoor temperature is assigned to 1. In all other cases, the temperature difference characteristic value of the outdoor temperature is assigned to -1. The sum of the temperature difference characteristic values ​​of all outdoor temperatures contained in the perfect outdoor temperature subsequence at the last moment is recorded as the first sum value. When the first sum value is greater than 0, the outdoor temperature change factor is assigned to 1. In all other cases, the outdoor temperature change factor is assigned to -1.

[0129] The degree of circulating water change required is determined based on the difference in outdoor temperature, the difference in the circulating water temperature of the water heater, and the degree of perfect response change. The degree of circulating water change required is positively correlated with the difference in the circulating water temperature of the water heater and the degree of perfect response change, respectively, and negatively correlated with the difference in outdoor temperature.

[0130] Preferably, as an embodiment of the present application, the absolute value of the difference between the outdoor temperature at the first change moment and the final moment is recorded as the changed temperature difference, and the ratio of the changed temperature difference to the perfect corresponding change degree of the temperature data is recorded as the hot water ratio; the collection moments corresponding to all indoor temperatures contained in the temperature control state subsequence where the indoor temperature at the final moment is located are obtained, and the extreme differences of the hot water boiler circulating water temperatures corresponding to these collection moments are recorded as the circulating water extreme differences, and the absolute value of the difference between the circulating water extreme differences and the hot water ratio is recorded as the degree of circulating water change required.

[0131] The current change temperature is determined based on the degree of circulating water demand change, the temperature drop factor, the hysteresis factor, the outdoor temperature change factor, and the confidence level of the water heater circulating water temperature anomaly. The current change temperature is positively correlated with the degree of circulating water demand change, the temperature drop factor, the hysteresis factor, the outdoor temperature change factor, and the confidence level of the water heater circulating water temperature anomaly.

[0132] Preferably, as an embodiment of the present application, the product of the degree of circulating water change demand and the temperature drop factor, hysteresis factor, outdoor temperature change factor and water heater circulating water temperature abnormality confidence is recorded as the current change temperature.

[0133] When the indoor temperature at the last moment is in the heating state subsequence, it is impossible to achieve indoor temperature stability, and the temperature change is assigned to 0.

[0134] The flow chart for obtaining the temperature change this time is as follows Figure 2 shown.

[0135] Furthermore, the purpose of assigning values ​​to the temperature drop factor, hysteresis factor, and outdoor temperature change factor is to: If the difference between the outdoor temperatures at the first and final change moments does not reach the average temperature drop, or if the time interval between the first and final change moments is less than the average hysteresis, or if the indoor temperature at the final moment corresponds to a heating water boiler in a rising state, the water boiler's circulating water temperature is deemed unnecessary to change. Furthermore, if the outdoor temperature change factor is -1, the outdoor temperature is rising during the time period corresponding to the perfect outdoor temperature subsequence at the final moment, and the heating power should be reduced, thereby lowering the circulating water temperature. If the outdoor temperature change factor is 1, the outdoor temperature is falling during the time period corresponding to the perfect outdoor temperature subsequence at the final moment, and the heating power should be increased, thereby raising the circulating water temperature.

[0136] When the temperature change value is 0, it means that the circulating water temperature of the hot water boiler corresponding to the last moment does not need to be changed. At this time, the power of the hot water boiler does not need to be adjusted.

[0137] When the current temperature change is not zero, the sum of the water heater's circulating water temperature at the end of the day and the current temperature change is used as the set point. The water heater's circulating water temperature at the end of the day is used as the process variable, and the current temperature change is used as the error. The set point, process variable, and error are input into the PID control algorithm, which then outputs a control signal. The central control system of the wall-mounted gas-fired heating water heater maps and converts the control signal, obtains the heating power adjustment command, and uses the heating power adjustment command to adjust the operating state of the heating element, thereby changing the heating power of the wall-mounted gas-fired heating water heater.

[0138] It should be noted that, in this embodiment, the initial parameters of the proportional term, integral term, and differential term of the PID control algorithm are set to 0.5, 0.45, and 0.6; the PID control algorithm is a well-known technology and will not be described in detail.

[0139] At this point, the optimized power of the heating water boiler is obtained.

[0140] Based on the same inventive concept as the above method, an embodiment of the present invention also provides a power control system for gas heating equipment, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-mentioned power control methods for gas heating equipment.

[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A power control method for gas heating equipment, characterized in that: The method comprises the following steps: During the operation of the water heater, different types of temperature data of the water heater are collected and preprocessed to obtain the outdoor temperature series, indoor temperature series and water heater circulating water temperature series; During the operation of the water heater, all collected temperature data is analyzed to determine the optimal power of the water heater, specifically: (1) Divide the indoor temperature sequence into indoor temperature subsequences, calculate the discrete degree of each indoor temperature subsequence, determine the temperature control state subsequence and the heating state subsequence based on the indoor temperature contained in the indoor temperature subsequence, obtain the water heater circulating water temperature subsequence and the outdoor temperature subsequence corresponding to the heating state subsequence, obtain the outdoor temperature consistent cluster based on the outdoor temperature value contained in the outdoor temperature subsequence, and determine the confidence level of the water heater circulating water temperature anomaly; (2) According to the discrete degree of the temperature control state subsequence, the perfect indoor temperature subsequence, the perfect outdoor temperature subsequence, and the perfect water heater circulating water temperature subsequence are determined. According to the similarity between the perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence, as well as the time lag between the outdoor temperature and the water heater circulating water temperature, the average lag, average temperature drop, and average comparative temperature difference of the temperature data are obtained. Combined with the overall correlation trend of the temperature data, the perfect corresponding change degree of the temperature data is obtained. (3) The latest collection time is recorded as the final time. When the indoor temperature at the final time is in the temperature control state subsequence, the current change temperature is determined based on the difference in outdoor temperature, the difference in the water heater circulating water temperature, and the degree of perfect corresponding change. When the indoor temperature at the final time is in the heating state subsequence, the current change temperature is assigned a value, and the optimized power of the heating water heater is obtained based on the value of the current change temperature.

2. A power control method for gas heating equipment according to claim 1, characterized in that: The method of obtaining the consistent cluster of outdoor temperatures based on the outdoor temperature values ​​contained in the outdoor temperature subsequence and determining the abnormal confidence level of the water heater circulating water temperature includes the following specific methods: Arrange the water heater circulating water temperatures and outdoor temperatures with the same collection time as the indoor temperatures contained in the heating state subsequence in sequence, obtain the water heater circulating water temperature subsequence and outdoor temperature subsequence corresponding to the heating state subsequence, record the mean of all outdoor temperatures contained in the outdoor temperature subsequence as the average outdoor temperature, cluster the outdoor temperature subsequences based on the average outdoor temperature, and obtain consistent outdoor temperature clusters; Determining temperature fluctuations of uniformly clustered external temperature clusters based on differences in lengths of the outdoor temperature subsequences and differences in the water heater circulating water temperatures contained in the water heater circulating water temperature subsequences, wherein the temperature fluctuations of the uniformly clustered external temperature clusters are positively correlated with differences in lengths of the outdoor temperature subsequences and differences in the water heater circulating water temperatures contained in the water heater circulating water temperature subsequences, respectively; The absolute value of the difference between the temperature data of the heating state subsequence and the corresponding water heater circulating water temperature subsequence at the same sampling time is recorded as the internal and external temperature difference at the sampling time. The average of the internal and external temperature differences at all sampling times is recorded as the temperature difference increase rate of the water heater circulating water temperature subsequence. The degree of dispersion of the temperature difference increase rate of the water heater circulating water temperature subsequences corresponding to all average external temperatures contained in the same external temperature consistent cluster is recorded as the third abnormality degree of the external temperature consistent cluster. Starting from the first indoor temperature included in the heating state subsequence, compare the value of each indoor temperature with the adjacent next indoor temperature until the two compared indoor temperatures are unequal. The data collection time of the next indoor temperature among the two unequal indoor temperatures is recorded as the room temperature rising time. The dispersion degree of the room temperature rising time of the heating state subsequence corresponding to all average external temperatures included in the same external temperature consistent cluster is recorded as the fourth abnormality degree of the external temperature consistent cluster. Obtaining a room temperature and water temperature deviation of the external temperature consistent cluster according to the third and fourth abnormalities of the external temperature consistent cluster, wherein the room temperature and water temperature deviation of the external temperature consistent cluster is positively correlated with the third and fourth abnormalities of the external temperature consistent cluster, respectively; According to the temperature fluctuation and the room temperature water temperature deviation, the water heater circulation water temperature anomaly confidence is obtained, and the water heater circulation water temperature anomaly confidence is positively correlated with the temperature fluctuation and the room temperature water temperature deviation respectively.

3. A power control method for gas heating equipment according to claim 1, characterized in that: The method of obtaining the average lag, average temperature drop, and average contrast temperature difference of the temperature data based on the similarity between the perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence, and the time lag between the outdoor temperature and the water heater circulating water temperature, includes the following specific methods: The absolute value of the similarity between the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the first similarity, and the average of all first similarities is recorded as the overall correlation trend of the temperature data; Starting from the first outdoor temperature included in the perfect outdoor temperature subsequence, the value of each outdoor temperature is compared with the adjacent next outdoor temperature until the two compared outdoor temperatures are not equal, and the data collection time of the next outdoor temperature of the two unequal outdoor temperatures is recorded as the first change time; starting from the first water heater circulating water temperature included in the perfect water heater circulating water temperature subsequence, the value of each water heater circulating water temperature is compared with the adjacent next water heater circulating water temperature until the two compared water heater circulating water temperatures are not equal, and the data collection time of the next water heater circulating water temperature of the two unequal water heater circulating water temperatures is recorded as the second change time; the time interval between the first change time and the second change time of the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the lag time of the corresponding two sequences, and the absolute value of the difference between the temperature data corresponding to the first change time and the second change time of the corresponding perfect outdoor temperature subsequence and the perfect water heater circulating water temperature subsequence is recorded as the temperature drop degree of the corresponding two sequences; The ratio of the range of the temperature data contained in the corresponding perfect water heater circulating water temperature subsequence and the perfect outdoor temperature subsequence is recorded as the temperature difference between the two sequences; The average values ​​of all lag moments, temperature drop degrees and temperature differences corresponding to the two sequences are recorded as the average lag, average temperature drop and average contrast temperature difference of the temperature data, respectively.

4. A power control method for gas heating equipment according to claim 1, characterized in that: The method of combining the overall correlation trend of the temperature data to obtain the perfect corresponding change degree of the temperature data includes the following specific methods: According to the average contrast temperature difference and the overall correlation trend of the temperature data, a perfect corresponding change degree of the temperature data is obtained, and the perfect corresponding change degree of the temperature data is positively correlated with the average contrast temperature difference and the overall correlation trend of the temperature data, respectively.

5. The power control method for gas heating equipment according to claim 1, characterized in that: The specific method for determining the temperature change based on the difference in outdoor temperature, the difference in the circulating water temperature of the hot water boiler, and the degree of perfect corresponding change is as follows: Assign values ​​to the temperature drop factor, hysteresis factor and outdoor temperature change factor; Determine the degree of change required for circulating water based on the difference in outdoor temperature, the difference in circulating water temperature of the hot water boiler and the degree of perfect response change; The temperature change is determined based on the degree of circulating water change, temperature drop factor, hysteresis factor, outdoor temperature change factor and confidence level of water heater circulating water temperature anomaly.

6. A power control method for gas heating equipment according to claim 5, characterized in that: The specific method of assigning the temperature drop factor, the hysteresis factor and the outdoor temperature change factor is as follows: When the absolute value of the difference between the outdoor temperature at the first change moment and the final moment is less than the average temperature drop, the temperature drop factor is assigned a value of 0; in all other cases, the temperature drop factor is assigned a value of 1; When the time interval between the first change moment and the final moment is less than the average lag, the lag factor is assigned a value of 0, and in all other cases, the lag factor is assigned a value of 1; All outdoor temperatures contained in the perfect outdoor temperature subsequence at the last moment are analyzed. When the difference between the outdoor temperature and the next outdoor temperature is greater than 0, the temperature difference characteristic value of the outdoor temperature is assigned to 1. When the difference between the outdoor temperature and the next outdoor temperature is less than or equal to 0, the temperature difference characteristic value of the outdoor temperature is assigned to -1. The sum of the temperature difference characteristic values ​​of all outdoor temperatures contained in the perfect outdoor temperature subsequence at the last moment is recorded as the first sum value. When the first sum value is greater than 0, the outdoor temperature change factor is assigned to 1. When the first sum value is less than or equal to 0, the outdoor temperature change factor is assigned to -1.

7. A power control method for gas heating equipment according to claim 5, characterized in that: The specific method for obtaining the degree of circulating water change is as follows: The absolute value of the difference between the outdoor temperature at the first change moment and the final moment is recorded as the changed temperature difference, and the ratio of the changed temperature difference to the perfect corresponding change degree of the temperature data is recorded as the hot water ratio. The collection moments corresponding to all indoor temperatures contained in the temperature control state subsequence where the indoor temperature at the final moment is located are obtained, and the range of the hot water boiler circulating water temperature corresponding to these collection moments is recorded as the circulating water range. The absolute value of the difference between the circulating water range and the hot water ratio is recorded as the degree of circulating water change required.

8. The power control method for gas heating equipment according to claim 5, characterized in that: The specific method for obtaining the temperature change is as follows: The product of the circulating water demand change degree, the temperature drop factor, the hysteresis factor, the outdoor temperature change factor and the confidence level of the water heater circulating water temperature anomaly is recorded as the current change temperature.

9. The power control method for gas heating equipment according to claim 1, characterized in that: The specific method for obtaining the optimized power of the heating water boiler according to the value of the current temperature change is as follows: When the temperature value of this change is 0, the water heater power corresponding to the last moment does not need to be adjusted; When the value of this changing temperature is not 0, the sum of the circulating water temperature of the hot water boiler at the last moment and the current changing temperature is used as the set point, the circulating water temperature of the hot water boiler at the last moment is used as the process variable, and the current changing temperature is used as the error. The set point, process variable and error are input into the PID control algorithm, and the control signal is output through the PID control algorithm; the central control system of the wall-mounted gas heating hot water boiler is used to map and convert the control signal, obtain the adjustment instruction of the heating power, use the adjustment instruction of the heating power to adjust the working state of the heating element, and obtain the optimized power of the heating hot water boiler.

10. A power control system for a gas heating device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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