A control method and system for a solar heat pump

Abstract

This invention discloses a control method and system for a solar heat pump. It relates to the field of solar heat pump control technology and solves the problem of wasted refrigerant when supplying small amounts of heat or cooling. While the refrigerant is not wasted, this method does not achieve good energy-saving results. This invention identifies and analyzes the heat energy parameters generated by the corresponding heat pump system in a database, constructs corresponding correlation curves, confirms and records the conversion parameters between compression and heating capacity, and then directly transmits the compression amount to the control center based on the externally confirmed heating demand. This control method not only achieves the most accurate compression of the corresponding compressor but also shortens the calculation and conversion process. It not only ensures normal heating demand but also achieves optimal energy saving in terms of energy consumption. Furthermore, the heating capacity is determined through one-to-one conversion, which is also fast.

Description

Technical Field

[0001] This invention relates to the field of solar heat pump control technology, specifically to a control method and system for a solar heat pump. Background Technology

[0002] A solar heat pump is a system that uses solar energy and heat pump technology to provide energy. The whole process is a cycle in which heat energy is absorbed from the solar collector, converted and transferred by the heat pump system, and then transferred to the indoor air, water or other media to achieve heating or provide hot water.

[0003] Patent application CN116182428B discloses an optimized control method and system for solar heat pumps, relating to the field of intelligent control technology. The method includes: obtaining solar sunshine duration, solar radiation intensity, and temperature information; obtaining heat prediction information; constructing a temperature change curve based on the temperature information; determining a fusion deviation temperature value; when the fusion deviation temperature value is negative, determining whether the fusion deviation temperature value has reached a preset adjustment threshold; when it has reached the threshold, constructing an optimization space and obtaining an optimized control parameter combination; and generating control commands based on the optimized control parameter combination to control the operation of the heat pump. This solves the technical problem in the prior art where insufficient analysis of the influencing factors of water temperature leads to poor control of the solar heat pump and difficulty in timely and effectively preventing water pipes from freezing. It achieves the technical effect of maximizing the utilization of solar energy while preventing water pipes from freezing, thus realizing energy saving and consumption reduction.

[0004] During the control process, solar heat pumps generally convert heat energy directly according to the corresponding demand signal. The conversion method is relatively simple. Regardless of the amount of heat energy required, the corresponding proportion of refrigerant is compressed. However, for some small demand or heating volume, the compressed refrigerant will be wasted. Although the refrigerant is not wasted, the corresponding energy is wasted. This method cannot achieve a good energy-saving effect. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a control method and system for solar heat pumps, which solves the problem that compressed refrigerant is wasted when supplying small amounts of heat or heating. Although the refrigerant itself is not wasted, the corresponding energy is wasted, and this method does not achieve good energy-saving results.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a control method and system for a solar heat pump, comprising:

[0007] The database stores the recorded historical thermal energy parameters of the solar heat pump.

[0008] On the data analysis side, priority is given to confirming and analyzing the heat energy parameters generated by the corresponding heat pump system in the database. These parameters include: the amount of refrigerant compressed by the compressor and the corresponding heat energy release, the heat energy release and the corresponding heating capacity. A correlation curve is first constructed between these heat energy parameters. Based on the constructed correlation curve, the conversion parameters between compression amount and heating capacity are analyzed and confirmed. Specifically, the method is as follows:

[0009] From the database, the compression amount of the refrigerant compressed by the compressor and the corresponding heat energy release are confirmed. A two-dimensional coordinate system is constructed with the compression amount as the horizontal axis and the heat energy release as the vertical axis. Based on the different heat energy release corresponding to different compression amounts, different points are determined to construct the first set of correlation curves.

[0010] Next, confirm the heat release and the corresponding heating amount. Construct a two-dimensional coordinate system with the heat release as the horizontal axis and the heating amount as the vertical axis, and determine the points corresponding to the heat release and heating amount to construct a second set of correlation curves.

[0011] The linear intervals of different points within the first set of associated curves are confirmed. The slopes of adjacent point segments are confirmed in turn. Point segments with the same slope are marked as a set of linear intervals. If the slopes of adjacent point segments are different, the slope of the specified point segment is recorded directly.

[0012] The linear intervals of different points within the second set of associated curves are confirmed. Priority is given to confirming the slope of adjacent point segments. Point segments with the same slope are marked as a set of linear intervals. If the slopes of adjacent point segments are different, the slope of the specified point segment is recorded directly.

[0013] Compare several sets of linear intervals identified in the two sets of correlation curves, analyze whether there are any overlapping parameters within the linear intervals, and if so, mark the overlapping area as the standard interval and record the transformation value K of the standard interval. i Where i represents different standard intervals, and K i =The sum of the slopes of the two linear intervals, record and mark several points in the non-intersecting region as transformation points, and record the transformation value K of the corresponding transformation points. t Where t represents different conversion points, and K t =The sum of the slopes of the two corresponding conversion points;

[0014] Subsequently, based on the confirmed external heating demand, the compression volume is determined and directly transmitted to the control center. The specific method is as follows:

[0015] The required heating volume confirmed by external personnel is marked as GN;

[0016] Subsequently, based on the required heating volume GN, the corresponding heating volume parameter is selected from the conversion point and standard range recorded in the data analysis terminal, and then the corresponding compression volume parameter is directly selected.

[0017] The selected compression parameters are directly transmitted to the control center, which then controls the compressor based on the corresponding compression parameters.

[0018] The monitoring center monitors the heating output of the heating equipment, defines a monitoring cycle, and determines whether there are any abnormal fluctuations in the heating output of the corresponding heating equipment. Subsequently, based on the specific monitoring results, it generates equipment abnormality signals or heat loss signals through the signal terminal. The specific method is as follows:

[0019] From the start of heating by the heating equipment until the end of monitoring cycle T, the heating output of the heating equipment is marked as NN. q , where q represents different time points within this monitoring period T, and each time point is spaced 1 second apart, where T is a preset value;

[0020] Based on the time trend of the monitoring period T, confirm the heating parameters NN corresponding to adjacent time points. q The difference is analyzed to determine whether the confirmed difference satisfies the following condition: difference ≥ Y1, where Y1 is a preset value. If the condition is met, the number of fluctuations is incremented by 1; otherwise, no action is taken.

[0021] Analyze whether the number of fluctuations generated within this monitoring period T meets the following condition: number of fluctuations ≥ Y2, where Y2 is a preset value. If the condition is met, it indicates that the heating equipment is experiencing abnormal heating fluctuations. If the condition is not met, no action is taken.

[0022] The parameters of the internal working components of the heating equipment that are abnormally fluctuating in heating are monitored to determine if they are normal. If they are normal, a heat loss signal is generated through the signal terminal and transmitted to the heat replenishment terminal. If they are abnormal, an equipment abnormality signal is generated through the signal terminal and directly displayed on the external display terminal.

[0023] At the heat energy replenishment end, based on the heating output and actual converted heating parameters monitored by the monitoring center, the specific heating loss is analyzed. Based on the standard range and conversion points recorded by the data analysis end, the amount of compression to be replenished is confirmed and transmitted to the control center. The specific method is as follows:

[0024] The monitoring center confirms several heating outputs monitored within the monitoring period T, determines the minimum value from among the confirmed heating outputs, and marks it as the processing value.

[0025] The method is as follows: Heating loss = Heating quantity parameter - Processing value. The heating loss is confirmed, and based on the confirmed heating loss, the corresponding parameters are matched according to the standard range and conversion point recorded by the data analysis terminal. The corresponding compression amount to be filled is selected and transmitted to the control center. The control center then controls the compressor according to the selected compression amount.

[0026] A method for controlling a solar heat pump includes the following steps:

[0027] Step 1: Analyze the past thermal energy parameters of the solar heat pump. During the analysis, establish the corresponding correlation curve. Then, combine the two correlation curves for analysis to confirm the existence of standard intervals or corresponding points in the same stage and lock the corresponding conversion value.

[0028] Step 2: Subsequently, during normal heating, a set of monitoring cycles is defined to determine whether there are any abnormal fluctuations in the heating parameters of the corresponding heating equipment. The parameters of the internal working components of the heating equipment with abnormal heating fluctuations are monitored to see if they are normal. If they are normal, a heat loss signal is generated through the signal terminal and transmitted to the heat replenishment terminal. If they are abnormal, an equipment abnormality signal is generated through the signal terminal.

[0029] Step 3: Based on the heating output and actual heating output parameters monitored by the monitoring center, analyze the specific heating loss, and confirm the amount of compression to be replenished according to the standard range and conversion point recorded by the data analysis terminal. Transmit this information to the control center, which then controls the compressor based on the selected amount of compression to be replenished.

[0030] Beneficial effects

[0031] This invention provides a control method and system for a solar heat pump. Compared with the prior art, it has the following advantages:

[0032] This invention confirms and analyzes the heat energy parameters generated by the corresponding heat pump system in the database, constructs the corresponding correlation curve, confirms the conversion parameters between compression and heating capacity, and records and stores them. Subsequently, based on the externally confirmed heating demand, the compression capacity is confirmed and then directly transmitted to the control center. Using this control method, not only can the compression capacity of the corresponding compressor be made to the most accurate state, but the calculation and conversion process can also be shortened. It can not only ensure the normal heating demand, but also achieve the best energy saving in terms of energy consumption. Moreover, the heating capacity needs to be determined by conversion one by one, and the timeliness is fast enough.

[0033] Based on the heating output and actual heating output parameters monitored by the monitoring center, the specific heating loss is analyzed. Then, based on the standard range and conversion points recorded by the data analysis terminal, the amount of compression to be replenished is confirmed. This method can effectively determine whether there is heat loss. Subsequently, based on the determined heat loss, heat replenishment can be carried out. Finally, based on the replenished heat parameters, the heating parameters of the heating equipment can be optimized. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] Example 1

[0037] Please see Figure 1 This application provides a control system for a solar heat pump, including a database, a data analysis terminal, a control center, a monitoring center, a heat energy filling terminal, and a signal terminal. The database is electrically connected to the input node of the data analysis terminal, the data analysis terminal is electrically connected to the input node of the control center, and there is a bidirectional connection between the data analysis terminal and the heat energy filling terminal. The monitoring center is electrically connected to the input node of the heat energy filling terminal, and the heat energy filling terminal is electrically connected to the input node of the control center. Both the monitoring center and the heat energy filling terminal are electrically connected to the input node of the signal terminal.

[0038] The database stores the recorded past thermal energy parameters of the solar heat pump.

[0039] The data analysis terminal prioritizes confirming and analyzing the thermal energy parameters generated by the corresponding heat pump system in the database. These parameters include: the compression amount of the refrigerant by the compressor and the corresponding heat energy release, the heat energy release and the corresponding heating capacity. It prioritizes constructing correlation curves between these thermal energy parameters. Based on these curves, it analyzes and confirms the conversion parameters between compression amount and heating capacity, and records and stores them. Subsequently, based on the externally confirmed heating demand, it confirms the compression amount and transmits it directly to the control center. Specifically, in the original system, these three sets of parameters needed to be converted one by one, and the compression amount was mostly a fixed parameter. Subsequently, thermal energy was adjusted according to the corresponding heating equipment. Although this method could ensure normal heating demand, it was not optimal in terms of energy consumption and energy saving, and the heating capacity needed to be determined through one-by-one conversions, which was not fast enough.

[0040] The specific method for analyzing and confirming the conversion parameters between compression and heating capacity is as follows:

[0041] From the database, the compression amount of the refrigerant compressed by the compressor and the corresponding heat energy release are confirmed. A two-dimensional coordinate system is constructed with the compression amount as the horizontal axis and the heat energy release as the vertical axis. Based on the different heat energy release corresponding to different compression amounts, different points are determined to construct the first set of correlation curves.

[0042] Next, confirm the heat release and the corresponding heating amount. Construct a two-dimensional coordinate system with the heat release as the horizontal axis and the heating amount as the vertical axis, and determine the points corresponding to the heat release and heating amount to construct a second set of correlation curves.

[0043] The linear intervals of different points within the first set of associated curves are confirmed. The slopes of adjacent point segments are confirmed in turn. Point segments with the same slope are marked as a set of linear intervals. If the slopes of adjacent point segments are different, the slope of the specified point segment is recorded directly. The slope of adjacent points = vertical parameter difference of adjacent points ÷ horizontal parameter difference of adjacent points, and the parameter difference = parameter corresponding to the next point - parameter corresponding to the previous point.

[0044] The linear intervals of different points within the second set of associated curves are confirmed. Priority is given to confirming the slope of adjacent point segments. Point segments with the same slope are marked as a set of linear intervals. If the slopes of adjacent point segments are different, the slope of the specified point segment is recorded directly.

[0045] Compare several sets of linear intervals identified in the two sets of correlation curves, analyze whether there are any overlapping parameters within the linear intervals, and if so, mark the overlapping area as the standard interval and record the transformation value K of the standard interval. iWhere i represents different standard intervals, and K i =The sum of the slopes of the two linear intervals, record and mark several points in the non-intersecting region as transformation points, and record the transformation value K of the corresponding transformation points. t Where t represents different conversion points, and K t =The sum of the slopes of two corresponding conversion points. Specifically, the compression amount and its corresponding heat release amount, and the heat release amount and its corresponding heating amount are in one-to-one correspondence. The compression amount determines the heat release amount, and the heat release amount determines the heating amount. Therefore, adjacent points can be found in the two correlation curves. Since the correlation curves are both upward, assuming that the compression amount A determines the heat release amount B, then find the location of B in the other set of correlation curves, and then determine the heating amount C through B. The corresponding linear interval is the same. Just find the corresponding cross parameter.

[0046] The specific method for determining the compression volume based on the externally confirmed heating demand is as follows:

[0047] The required heating volume confirmed by external personnel is marked as GN;

[0048] Subsequently, based on the required heating volume GN, the corresponding heating volume parameter is selected from the conversion point and standard range recorded in the data analysis terminal, and then the corresponding compression volume parameter is directly selected.

[0049] The selected compression parameters are directly transmitted to the control center, which then controls the compressor based on the corresponding compression parameters to compress the gas into a high-temperature, high-pressure state, thereby increasing its thermal energy.

[0050] The monitoring center monitors the heating parameters generated by the heating equipment, defines a monitoring cycle, and determines whether there are any abnormal fluctuations in the heating parameters of the corresponding heating equipment. Subsequently, based on the specific monitoring results, it generates equipment abnormality signals or heat loss signals through the signal terminal. The specific method for determining whether there are abnormal fluctuations in the heating equipment is as follows:

[0051] From the start of heating by the heating equipment until the end of monitoring cycle T, the heating parameters of the heating equipment are marked as NN. q , where q represents different time points within this monitoring period T, and each time point is spaced 1 second apart, where T is a preset value, and its specific value is determined by the operator based on experience;

[0052] Based on the time trend of the monitoring period T, confirm the heating parameters NN corresponding to adjacent time points. qThe difference is analyzed to determine whether the confirmed difference satisfies the following condition: difference ≥ Y1, where Y1 is a preset value, the specific value of which is determined by the operator based on experience. If the condition is met, the fluctuation count is incremented by 1; if the condition is not met, no action is taken.

[0053] Analyze whether the number of fluctuations generated within this monitoring period T meets the following condition: number of fluctuations ≥ Y2, where Y2 is a preset value, and its specific value is determined by the operator based on experience. If the condition is met, it indicates that the heating equipment is experiencing abnormal heating fluctuations. If the condition is not met, no action is taken.

[0054] The parameters of the internal working components of the heating equipment that are experiencing abnormal heating fluctuations are monitored to determine if they are normal. If they are normal, a heat loss signal is generated through the signal terminal and transmitted to the heat replenishment terminal. If they are abnormal, an equipment abnormality signal is generated through the signal terminal and directly displayed on the external display terminal.

[0055] Specifically, if there are abnormal fluctuations in heating during normal heating, it is generally caused by aging or malfunction of internal components of the heating equipment, and there are no other reasons. When there are no problems with the corresponding heating equipment, there is generally a loss of heat, which needs to be replenished by a heat energy replenishment device.

[0056] The heat energy replenishment terminal analyzes the specific heat loss based on the heating output and actual converted heating parameters monitored by the monitoring center. It also confirms the amount of compression to be replenished based on the standard range and conversion points recorded by the data analysis terminal, and transmits this information to the control center. The specific replenishment method is as follows:

[0057] The monitoring center confirms several heating outputs monitored within the monitoring period T, determines the minimum value from among the confirmed heating outputs, and marks it as the processing value.

[0058] The method is as follows: Heating loss = Heating quantity parameter - Processing value. The heating loss is confirmed, and based on the confirmed heating loss, the corresponding parameters are matched according to the standard range and conversion point recorded by the data analysis terminal. The corresponding compression amount is selected and transmitted to the control center. The control center then controls the compressor according to the selected compression amount to directly compress the gas into a high temperature and high pressure state to increase its heat energy.

[0059] Specifically, by using this method, it is possible to fully determine whether there is a situation of heat loss. Subsequently, based on the determined situation of heat loss, heat can be replenished. Then, based on the parameters of the replenished heat, the heating parameters of the heating equipment can be optimized.

[0060] This control method not only ensures the most accurate compression of the corresponding compressor, but also shortens the calculation and conversion process. It not only guarantees normal heating needs, but also achieves optimal energy saving in terms of energy consumption. Furthermore, the heating capacity needs to be determined through one-to-one conversion, which is also fast.

[0061] Example 2

[0062] A method for controlling a solar heat pump includes the following steps:

[0063] Step 1: Analyze the past thermal energy parameters of the solar heat pump. During the analysis, establish the corresponding correlation curve. Then, combine the two correlation curves for analysis to confirm the existence of standard intervals or corresponding points in the same stage and lock the corresponding conversion value.

[0064] Step 2: Subsequently, during normal heating, a set of monitoring cycles is defined to determine whether there are any abnormal fluctuations in the heating parameters of the corresponding heating equipment. The parameters of the internal working components of the heating equipment with abnormal heating fluctuations are monitored to see if they are normal. If they are normal, a heat loss signal is generated through the signal terminal and transmitted to the heat replenishment terminal. If they are abnormal, an equipment abnormality signal is generated through the signal terminal.

[0065] Step 3: Based on the heating output and actual heating output parameters monitored by the monitoring center, analyze the specific heating loss, and confirm the amount of compression to be replenished according to the standard range and conversion point recorded by the data analysis terminal. Transmit this information to the control center, which then controls the compressor based on the selected amount of compression to be replenished.

[0066] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0067] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A control system for a solar heat pump, characterized in that, include: The database stores the recorded historical thermal energy parameters of the solar heat pump. On the data analysis side, priority is given to confirming and analyzing the thermal energy parameters generated by the corresponding heat pump system in the database. These parameters include: the compression amount of the refrigerant by the compressor and the corresponding heat release, the heat release and the corresponding heating capacity. A correlation curve is first constructed between these thermal energy parameters. Based on the constructed correlation curve, the conversion parameters between compression amount and heating capacity are analyzed, confirmed, and recorded. Subsequently, based on the externally confirmed heating demand, the compression amount is confirmed and directly transmitted to the control center. Specifically: From the database, the compression amount of the refrigerant compressed by the compressor and the corresponding heat energy release are confirmed. A two-dimensional coordinate system is constructed with the compression amount as the horizontal axis and the heat energy release as the vertical axis. Based on the different heat energy release corresponding to different compression amounts, different points are determined to construct the first set of correlation curves. Next, confirm the heat release and the corresponding heating amount. Construct a two-dimensional coordinate system with the heat release as the horizontal axis and the heating amount as the vertical axis, and determine the points corresponding to the heat release and heating amount to construct a second set of correlation curves. The linear intervals of different points within the first set of associated curves are confirmed. The slopes of adjacent point segments are confirmed in turn. Point segments with the same slope are marked as a set of linear intervals. If the slopes of adjacent point segments are different, the slope of the specified point segment is recorded directly. The linear intervals of different points within the second set of associated curves are confirmed. Priority is given to confirming the slope of adjacent point segments. Point segments with the same slope are marked as a set of linear intervals. If the slopes of adjacent point segments are different, the slope of the specified point segment is recorded directly. Compare several sets of linear intervals identified in the two sets of correlation curves, analyze whether there are any overlapping parameters within the linear intervals, and if so, mark the overlapping area as the standard interval and record the transformation value K of the standard interval. i Where i represents different standard intervals, and K i =The sum of the slopes of the two linear intervals, record and mark several points in the non-intersecting region as transformation points, and record the transformation value K of the corresponding transformation points. t Where t represents different conversion points, and K t = The sum of the slopes of the two corresponding conversion points. The monitoring center monitors the heating output of the heating equipment, sets a monitoring cycle, and determines whether there are any abnormal fluctuations in the heating output of the corresponding heating equipment. Subsequently, based on the specific monitoring results, it generates equipment abnormality signals or heat loss signals through the signal terminal. At the heat energy replenishment end, based on the heating output and actual heating output parameters monitored by the monitoring center, the specific heating loss is analyzed, and the amount of compression to be replenished is confirmed according to the standard range and conversion point recorded by the data analysis end, and then transmitted to the control center.

2. The control system for a solar heat pump according to claim 1, characterized in that, The data analysis terminal determines the compression amount based on the externally confirmed heating demand in the following way: The required heating volume confirmed by external personnel is marked as GN; Subsequently, based on the required heating volume GN, the corresponding heating volume parameter is selected from the conversion point and standard range recorded in the data analysis terminal, and then the corresponding compression volume parameter is directly selected. The selected compression parameters are directly transmitted to the control center, which then controls the compressor based on the corresponding compression parameters.

3. The control system for a solar heat pump according to claim 1, characterized in that, The monitoring center determines whether there are abnormal fluctuations in the heating equipment in the following specific way: From the start of heating by the heating equipment until the end of monitoring cycle T, the heating output of the heating equipment is marked as NN. q , where q represents different time points within this monitoring period T, and each time point is spaced 1 second apart, where T is a preset value; Based on the time trend of the monitoring period T, confirm the heating parameters NN corresponding to adjacent time points. q The difference is analyzed to determine whether the confirmed difference satisfies the following condition: difference ≥ Y1, where Y1 is a preset value. If the condition is met, the number of fluctuations is incremented by 1; otherwise, no action is taken. Analyze whether the number of fluctuations generated within this monitoring period T meets the following condition: number of fluctuations ≥ Y2, where Y2 is a preset value. If the condition is met, it indicates that the heating equipment is experiencing abnormal heating fluctuations. If the condition is not met, no action is taken. The parameters of the internal working components of the heating equipment that are experiencing abnormal heating fluctuations are monitored to determine if they are normal. If they are normal, a heat loss signal is generated through the signal terminal and transmitted to the heat replenishment terminal. If they are abnormal, an equipment abnormality signal is generated through the signal terminal and directly displayed on the external display terminal.

4. The control system for a solar heat pump according to claim 1, characterized in that, The specific method for filling the heat energy filling end is as follows: The monitoring center confirms several heating outputs monitored within the monitoring period T, determines the minimum value from among the confirmed heating outputs, and marks it as the processing value. The method is as follows: Heating loss = Heating quantity parameter - Processing value. The heating loss is confirmed, and based on the confirmed heating loss, the corresponding parameters are matched according to the standard range and conversion point recorded by the data analysis terminal. The corresponding compression amount to be filled is selected and transmitted to the control center. The control center then controls the compressor according to the selected compression amount.

5. A control method for a solar heat pump, wherein the control method operates based on the control system described in any one of claims 1-4, characterized in that, Includes the following steps: Step 1: Analyze the past thermal energy parameters of the solar heat pump. During the analysis, establish the corresponding correlation curve. Then, combine the two correlation curves for analysis to confirm the existence of standard intervals or corresponding points in the same stage and lock the corresponding conversion value. Step 2: Subsequently, during normal heating, a set of monitoring cycles is defined to determine whether there are any abnormal fluctuations in the heating parameters of the corresponding heating equipment. The parameters of the internal working components of the heating equipment with abnormal heating fluctuations are monitored to see if they are normal. If they are normal, a heat loss signal is generated through the signal terminal and transmitted to the heat replenishment terminal. If they are abnormal, an equipment abnormality signal is generated through the signal terminal. Step 3: Based on the heating output and actual heating output parameters monitored by the monitoring center, analyze the specific heating loss, and confirm the amount of compression to be replenished according to the standard range and conversion point recorded by the data analysis terminal. Transmit this information to the control center, which then controls the compressor based on the selected amount of compression to be replenished.

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